From 12da21fa004224dc01bee57516440dc2c19fe20a Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Wed, 1 Sep 2021 14:08:30 +0530 Subject: [PATCH 001/116] v0.4.0 --- bin/programs.sh | 23 + bin/run_tests.sh | 80 + data/input/iris.csv | 151 + data/input/store.csv | 1843 ++ data/input/test_glmnet.csv | 101 + data/input/us_city.csv | 37843 +++++++++++++++++++++++++++++++++++ 6 files changed, 40041 insertions(+) create mode 100644 bin/programs.sh create mode 100644 bin/run_tests.sh create mode 100644 data/input/iris.csv create mode 100644 data/input/store.csv create mode 100644 data/input/test_glmnet.csv create mode 100644 data/input/us_city.csv diff --git a/bin/programs.sh b/bin/programs.sh new file mode 100644 index 0000000..8b40a4a --- /dev/null +++ b/bin/programs.sh @@ -0,0 +1,23 @@ +#!/bin/bash +# ============================================================================= +# Python dependencies +# +# Objective: Install python dependencies from requirements.txt +# +# Version: 0.1.0 +# +# Author: Diptesh +# +# Date: Mar 03, 2020 +# +# ============================================================================= + +# Set test directory +path="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)\ +/$(basename "${BASH_SOURCE[0]}")" + +proj_dir=$(sed -E 's/(.+)(\/bin\/.+)/\1/' <<< $path) + +if ! [[ $(hostname) =~ .+target\.com ]]; then + pip install -r $proj_dir/requirements.txt +fi diff --git a/bin/run_tests.sh b/bin/run_tests.sh new file mode 100644 index 0000000..79fc36e --- /dev/null +++ b/bin/run_tests.sh @@ -0,0 +1,80 @@ +#!/bin/bash +# ============================================================================= +# Python unit tests and code ratings +# +# Objective: Test all python test modules and rate all python scripts +# +# Version: 0.2.0 +# +# Author: Diptesh +# +# Date: Jun 24, 2020 +# +# ============================================================================= + +# Set test directory +path="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)\ +/$(basename "${BASH_SOURCE[0]}")" + +test_dir=$(sed -E 's/(.+)(\/bin\/.+)/\1\/tests/' <<< $path) +proj_dir=$(sed -E 's/(.+)(\/bin\/.+)/\1/' <<< $path) + +if [[ -z $1 ]] +then + module="-a" +else + module=$1 +fi + +printf "=%.0s" {1..70} + +# Run unit tests +if [[ $module == "-a" || $module == "-u" ]] +then + printf "\nRunning unit & integration tests...\n\n" + coverage run -m unittest discover -v -s $test_dir -p "test_*.py" + coverage report -m --omit="*/tests/test_*,*/opt/spark-*" > "$proj_dir/log/cov.out" + COV_SCORE=`grep "TOTAL" $proj_dir/log/cov.out | tail -1 | awk '{ printf("%d", $4) }'` + COV_COLOR="red" + if [[ $COV_SCORE == "100" ]] + then + COV_COLOR="dagreen" + fi + sed -i '' "2s/.*/\[\!\[Coverage score\]\(\https\:\/\/img\.shields\.io\/badge\/coverage\-$COV_SCORE\%25\-$COV_COLOR.svg\)\]\(\.\/log\/cov\.out\)/" "$proj_dir/README.md" + printf "=%.0s" {1..70} + printf "\n" +fi + +# Rate coding styles for all python scripts +if [[ $module == "-a" || $module == "-r" ]] +then + printf "\nRating code style...\n\n" + score=0 + cnt=0 + for i in $(find "$proj_dir" -name "*.py") + do + file=${i#$(dirname "$(dirname "$i")")/} + printf "%-67s %s" "$file" + file_dir=$(sed -E 's/(.+\/)(.+\.py)/\1/' <<< $i) + cd "$file_dir" + pylint "$i" > "$proj_dir/log/pylint/pylint.out" + PYLINT_SCORE=`grep "Your code has been rated" $proj_dir/log/pylint/pylint.out | cut -d" " -f7 | cut -d"." -f1` + file_name=$(sed -E 's/(\/)/-/' <<< $file) + file_name=$(sed -E 's/(\.)/-/' <<< $file_name) + cp "$proj_dir/log/pylint/pylint.out" "$proj_dir/log/pylint/$file_name.out" + score=$((score + PYLINT_SCORE)) + cnt=$((cnt + 1)) + printf "$PYLINT_SCORE\n" + cd "$proj_dir" + done + tot_score=$(echo "scale=1; $score/$cnt" | bc) + printf "\nTotal score: $tot_score\n" + # Add pylint badge to README.md + sed -i '' "1s/.*/\[\!\[pylint Score\]\(https\:\/\/mperlet\.github\.io\/pybadge\/badges\/$tot_score.svg\)\]\(\.\/log\/pylint\/\)/" "$proj_dir/README.md" + printf "=%.0s" {1..70} + printf "\n" +fi + +pipreqs --force $proj_dir &> $proj_dir/log/pip.out + +exit 0 diff --git a/data/input/iris.csv b/data/input/iris.csv new file mode 100644 index 0000000..d93a29c --- /dev/null +++ b/data/input/iris.csv @@ -0,0 +1,151 @@ +x3,x4,x1,x2,y +5.1,3.5,1.4,0.2,0 +4.9,3.0,1.4,0.2,0 +4.7,3.2,1.3,0.2,0 +4.6,3.1,1.5,0.2,0 +5.0,3.6,1.4,0.2,0 +5.4,3.9,1.7,0.4,0 +4.6,3.4,1.4,0.3,0 +5.0,3.4,1.5,0.2,0 +4.4,2.9,1.4,0.2,0 +4.9,3.1,1.5,0.1,0 +5.4,3.7,1.5,0.2,0 +4.8,3.4,1.6,0.2,0 +4.8,3.0,1.4,0.1,0 +4.3,3.0,1.1,0.1,0 +5.8,4.0,1.2,0.2,0 +5.7,4.4,1.5,0.4,0 +5.4,3.9,1.3,0.4,0 +5.1,3.5,1.4,0.3,0 +5.7,3.8,1.7,0.3,0 +5.1,3.8,1.5,0.3,0 +5.4,3.4,1.7,0.2,0 +5.1,3.7,1.5,0.4,0 +4.6,3.6,1.0,0.2,0 +5.1,3.3,1.7,0.5,0 +4.8,3.4,1.9,0.2,0 +5.0,3.0,1.6,0.2,0 +5.0,3.4,1.6,0.4,0 +5.2,3.5,1.5,0.2,0 +5.2,3.4,1.4,0.2,0 +4.7,3.2,1.6,0.2,0 +4.8,3.1,1.6,0.2,0 +5.4,3.4,1.5,0.4,0 +5.2,4.1,1.5,0.1,0 +5.5,4.2,1.4,0.2,0 +4.9,3.1,1.5,0.2,0 +5.0,3.2,1.2,0.2,0 +5.5,3.5,1.3,0.2,0 +4.9,3.6,1.4,0.1,0 +4.4,3.0,1.3,0.2,0 +5.1,3.4,1.5,0.2,0 +5.0,3.5,1.3,0.3,0 +4.5,2.3,1.3,0.3,0 +4.4,3.2,1.3,0.2,0 +5.0,3.5,1.6,0.6,0 +5.1,3.8,1.9,0.4,0 +4.8,3.0,1.4,0.3,0 +5.1,3.8,1.6,0.2,0 +4.6,3.2,1.4,0.2,0 +5.3,3.7,1.5,0.2,0 +5.0,3.3,1.4,0.2,0 +7.0,3.2,4.7,1.4,1 +6.4,3.2,4.5,1.5,1 +6.9,3.1,4.9,1.5,1 +5.5,2.3,4.0,1.3,1 +6.5,2.8,4.6,1.5,1 +5.7,2.8,4.5,1.3,1 +6.3,3.3,4.7,1.6,1 +4.9,2.4,3.3,1.0,1 +6.6,2.9,4.6,1.3,1 +5.2,2.7,3.9,1.4,1 +5.0,2.0,3.5,1.0,1 +5.9,3.0,4.2,1.5,1 +6.0,2.2,4.0,1.0,1 +6.1,2.9,4.7,1.4,1 +5.6,2.9,3.6,1.3,1 +6.7,3.1,4.4,1.4,1 +5.6,3.0,4.5,1.5,1 +5.8,2.7,4.1,1.0,1 +6.2,2.2,4.5,1.5,1 +5.6,2.5,3.9,1.1,1 +5.9,3.2,4.8,1.8,1 +6.1,2.8,4.0,1.3,1 +6.3,2.5,4.9,1.5,1 +6.1,2.8,4.7,1.2,1 +6.4,2.9,4.3,1.3,1 +6.6,3.0,4.4,1.4,1 +6.8,2.8,4.8,1.4,1 +6.7,3.0,5.0,1.7,1 +6.0,2.9,4.5,1.5,1 +5.7,2.6,3.5,1.0,1 +5.5,2.4,3.8,1.1,1 +5.5,2.4,3.7,1.0,1 +5.8,2.7,3.9,1.2,1 +6.0,2.7,5.1,1.6,1 +5.4,3.0,4.5,1.5,1 +6.0,3.4,4.5,1.6,1 +6.7,3.1,4.7,1.5,1 +6.3,2.3,4.4,1.3,1 +5.6,3.0,4.1,1.3,1 +5.5,2.5,4.0,1.3,1 +5.5,2.6,4.4,1.2,1 +6.1,3.0,4.6,1.4,1 +5.8,2.6,4.0,1.2,1 +5.0,2.3,3.3,1.0,1 +5.6,2.7,4.2,1.3,1 +5.7,3.0,4.2,1.2,1 +5.7,2.9,4.2,1.3,1 +6.2,2.9,4.3,1.3,1 +5.1,2.5,3.0,1.1,1 +5.7,2.8,4.1,1.3,1 +6.3,3.3,6.0,2.5,2 +5.8,2.7,5.1,1.9,2 +7.1,3.0,5.9,2.1,2 +6.3,2.9,5.6,1.8,2 +6.5,3.0,5.8,2.2,2 +7.6,3.0,6.6,2.1,2 +4.9,2.5,4.5,1.7,2 +7.3,2.9,6.3,1.8,2 +6.7,2.5,5.8,1.8,2 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+4,R100 ,R114 ,23290.41,1.36,82980,5 +5,R100 ,R163 ,18241.02,1.06,80933,5 +12,R100 ,R117 ,20692.01,1.21,69184,7 +13,R300 ,R352 ,8252.73,0.48,69674,6 +19,R100 ,R129 ,16169.47,0.94,74595,6 +26,R100 ,R117 ,20397.41,1.19,72984,7 +43,R300 ,R301 ,18933.64,1.1,81050,6 +48,R100 ,R175 ,14473.25,0.84,78121,8 +52,R100 ,R126 ,17470.96,1.02,73182,5 +55,R300 ,R352 ,11862.25,0.69,75618,6 +61,R100 ,R143 ,31066.83,1.81,79900,8 +64,R100 ,R176 ,26316.01,1.53,80978,8 +67,R300 ,R326 ,8210.73,0.48,74609,6 +68,R100 ,R102 ,13214,0.77,72394,5 +69,R100 ,R105 ,16713.05,0.97,72221,7 +75,R300 ,R311 ,11314.14,0.66,77492,6 +76,R100 ,R143 ,22717.36,1.32,79855,8 +78,R100 ,R147 ,11464.04,0.67,62523,5 +79,R100 ,R176 ,16834.94,0.98,74041,8 +80,R300 ,R326 ,11171.17,0.65,64431,6 +82,R100 ,R110 ,13369.59,0.78,80681,5 +83,R300 ,R352 ,8377.58,0.49,74591,6 +85,R100 ,R143 ,17766.32,1.04,59142,8 +86,R100 ,R127 ,14260.12,0.83,59850,7 +90,R300 ,R332 ,15633,0.91,76659,4 +93,R100 ,R179 ,14529.19,0.85,72158,8 +95,R300 ,R341 ,8524.54,0.5,73885,6 +96,R300 ,R322 ,10237.9,0.6,65671,6 +100,R100 ,R101 ,21131.13,1.23,87002,5 +108,R100 ,R140 ,15754.07,0.92,71622,5 +111,R100 ,R138 ,11261.98,0.66,66487,5 +137,R100 ,R147 ,15292.52,0.89,64431,5 +139,R100 ,R168 ,11471.15,0.67,64721,5 +144,R300 ,R333 ,10607.4,0.62,73295,4 +146,R300 ,R369 ,18405.68,1.07,81849,4 +147,R100 ,R177 ,12738.47,0.74,64658,8 +151,R300 ,R351 ,13956.32,0.81,76401,4 +152,R100 ,R150 ,12321.35,0.72,61912,5 +154,R100 ,R177 ,14698.64,0.86,77392,8 +158,R300 ,R303 ,10653.68,0.62,77114,6 +162,R100 ,R167 ,12722.31,0.74,62900,6 +164,R100 ,R176 ,11060.36,0.65,48505,8 +167,R300 ,R353 ,9746.49,0.57,64427,6 +171,R100 ,R161 ,17392.43,1.01,64978,8 +176,R300 ,R327 ,8160.21,0.48,54334,6 +183,R200 ,R219 ,13248.23,0.77,63185,9 +184,R200 ,R263 ,24366.54,1.42,69243,9 +188,R200 ,R248 ,11887.53,0.69,71593,9 +189,R200 ,R263 ,15584.92,0.91,59354,9 +190,R200 ,R263 ,24461.04,1.43,75264,9 +192,R200 ,R222 ,13160.46,0.77,76558,9 +193,R200 ,R222 ,14146.35,0.83,68708,9 +195,R200 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,14292.38,0.83,61433,9 +290,R200 ,R239 ,18461.78,1.08,86772,9 +291,R200 ,R232 ,13020.93,0.76,60322,9 +293,R200 ,R244 ,13748.59,0.8,62694,9 +294,R200 ,R219 ,21871.31,1.28,80926,9 +296,R200 ,R231 ,14391.37,0.84,67705,9 +298,R200 ,R240 ,16823.13,0.98,80350,9 +299,R200 ,R209 ,13201.29,0.77,65771,9 +300,R200 ,R261 ,12684.69,0.74,63788,9 +301,R200 ,R206 ,3620001.02,211.14,83815,9 +302,R200 ,R263 ,14625.95,0.85,63132,9 +303,R200 ,R261 ,14815.02,0.86,64181,9 +304,R200 ,R231 ,13578.56,0.79,64076,9 +305,R200 ,R231 ,15078.17,0.88,66946,9 +307,R200 ,R205 ,12927.6,0.75,76103,9 +309,R200 ,R240 ,13776.63,0.8,64878,9 +310,R200 ,R246 ,14322.45,0.84,67605,9 +311,R200 ,R220 ,18370.87,1.07,60950,9 +312,R200 ,R220 ,17400.32,1.01,74884,9 +313,R200 ,R246 ,22900.55,1.34,72559,9 +314,R200 ,R213 ,13669.59,0.8,62438,9 +317,R200 ,R208 ,23051.67,1.34,64525,9 +318,R200 ,R208 ,18353.7,1.07,78674,9 +319,R300 ,R379 ,13809.68,0.81,72008,9 +320,R200 ,R210 ,27109.95,1.58,86991,9 +321,R200 ,R210 ,16997.32,0.99,73450,9 +322,R200 ,R210 ,17208.92,1,64752,9 +323,R200 ,R233 ,15363.32,0.9,80548,9 +324,R200 ,R233 ,21284.51,1.24,86940,9 +328,R200 ,R237 ,43726.31,2.55,70781,9 +330,R200 ,R247 ,12027.58,0.7,68082,9 +331,R200 ,R247 ,17419.86,1.02,66921,9 +332,R200 ,R247 ,12368.4,0.72,65852,9 +335,R300 ,R305 ,11422.19,0.67,66727,6 +336,R200 ,R202 ,21101.16,1.23,71527,9 +337,R200 ,R264 ,14635.59,0.85,66550,10 +338,R200 ,R264 ,16602.57,0.97,76473,10 +339,R200 ,R265 ,16888.18,0.99,58755,10 +341,R200 ,R259 ,22173.45,1.29,76337,10 +342,R200 ,R259 ,15013.57,0.88,71806,10 +343,R200 ,R258 ,13540.57,0.79,75090,10 +344,R200 ,R258 ,19060.47,1.11,74577,10 +345,R200 ,R258 ,19543.35,1.14,76378,10 +346,R200 ,R260 ,22555.49,1.32,82049,10 +347,R100 ,R135 ,11678.05,0.68,65415,5 +348,R200 ,R264 ,16714.12,0.97,65578,10 +349,R200 ,R262 ,14038.88,0.82,66290,10 +350,R100 ,R135 ,12169.44,0.71,65379,5 +351,R100 ,R134 ,12084.35,0.7,66018,5 +353,R100 ,R137 ,12788.3,0.75,62972,5 +354,R100 ,R148 ,13587.71,0.79,76345,5 +355,R100 ,R144 ,11952.45,0.7,66017,7 +356,R300 ,R378 ,16005.66,0.93,69067,6 +357,R300 ,R378 ,16083.17,0.94,82732,6 +358,R200 ,R213 ,15717.28,0.92,67402,9 +359,R200 ,R205 ,22621.42,1.32,67096,9 +360,R100 ,R163 ,13269.87,0.77,74426,5 +361,R100 ,R137 ,10869.13,0.63,61750,5 +362,R200 ,R258 ,11993.62,0.7,66740,10 +363,R300 ,R377 ,17075.5,1,66706,9 +364,R100 ,R146 ,15159.91,0.88,66271,5 +365,R100 ,R137 ,13262.49,0.77,66062,5 +366,R100 ,R168 ,17256.12,1.01,65990,4 +373,R300 ,R334 ,14656.24,0.85,80648,4 +397,R100 ,R136 ,12922.53,0.75,67248,5 +530,R100 ,R107 ,19923.38,1.16,103457,7 +531,R100 ,R144 ,16151.47,0.94,84704,7 +532,R100 ,R107 ,17833.54,1.04,98036,7 +533,R100 ,R127 ,34191.9,1.99,89039,7 +604,R100 ,R136 ,14096.32,0.82,67111,5 +606,R200 ,R262 ,17183.87,1,66151,10 +607,R200 ,R262 ,14899.87,0.87,66057,10 +608,R200 ,R260 ,15644.36,0.91,66405,10 +609,R200 ,R260 ,11360.22,0.66,60279,10 +610,R100 ,R136 ,11809.55,0.69,66444,5 +611,R100 ,R137 ,11098.5,0.65,65653,5 +612,R200 ,R260 ,16885.54,0.98,74348,10 +613,R200 ,R260 ,12190.76,0.71,66333,10 +614,R200 ,R250 ,12850.16,0.75,66231,9 +615,R200 ,R208 ,13925.71,0.81,66575,9 +616,R100 ,R137 ,10833.78,0.63,66576,5 +617,R100 ,R161 ,20871.26,1.22,66088,10 +618,R100 ,R177 ,12361,0.72,50149,8 +619,R100 ,R126 ,19079.03,1.11,98794,5 +620,R100 ,R111 ,14951.87,0.87,67544,5 +622,R100 ,R148 ,11238.4,0.66,65458,5 +623,R100 ,R148 ,14675.69,0.86,66573,5 +624,R100 ,R148 ,11932.04,0.7,65750,5 +625,R300 ,R378 ,15289.87,0.89,75376,6 +626,R200 ,R237 ,13135.78,0.77,68252,9 +627,R200 ,R259 ,14874.91,0.87,66207,10 +628,R200 ,R262 ,18734.17,1.09,50594,10 +632,R100 ,R134 ,11463.05,0.67,66097,5 +634,R100 ,R148 ,15091.59,0.88,66189,5 +636,R100 ,R161 ,16625.41,0.97,66748,10 +637,R200 ,R259 ,13760.15,0.8,61785,10 +638,R300 ,R318 ,12475.7,0.73,66168,4 +639,R300 ,R374 ,12022.38,0.7,75334,9 +641,R200 ,R213 ,15340.49,0.89,75407,9 +642,R300 ,R310 ,16165.36,0.94,66799,4 +643,R100 ,R163 ,19057.3,1.11,92458,5 +645,R300 ,R315 ,11095.3,0.65,79182,4 +647,R300 ,R313 ,13955.94,0.81,75669,4 +649,R300 ,R324 ,15011.35,0.88,70602,4 +650,R300 ,R365 ,10206.04,0.6,66253,4 +652,R300 ,R314 ,13283.59,0.77,66845,4 +654,R300 ,R354 ,15300.77,0.89,76687,4 +655,R300 ,R314 ,13824.79,0.81,74609,4 +656,R300 ,R314 ,11401.5,0.66,73212,4 +657,R100 ,R114 ,16250.62,0.95,72026,5 +658,R100 ,R143 ,13334.06,0.78,56072,5 +659,R100 ,R114 ,14857.14,0.87,73784,5 +660,R200 ,R248 ,18044.54,1.05,82029,9 +661,R100 ,R131 ,11975.33,0.7,55260,5 +662,R100 ,R102 ,12920.75,0.75,73838,5 +663,R100 ,R111 ,14683.45,0.86,75436,5 +664,R100 ,R131 ,28491.6,1.66,90014,5 +665,R300 ,R354 ,12082.51,0.7,75447,4 +666,R100 ,R173 ,18710.74,1.09,85468,5 +669,R300 ,R315 ,13741.96,0.8,76207,4 +670,R100 ,R147 ,17538.55,1.02,85753,5 +671,R100 ,R136 ,15063.66,0.88,77104,5 +672,R100 ,R135 ,9472.64,0.55,56980,5 +673,R100 ,R148 ,12272.15,0.72,74994,5 +674,R100 ,R117 ,11906.48,0.69,74825,5 +675,R200 ,R247 ,12611.32,0.74,66790,9 +676,R200 ,R245 ,12996.93,0.76,76516,9 +677,R200 ,R244 ,15104.15,0.88,74961,9 +679,R100 ,R161 ,13577.39,0.79,56269,10 +680,R300 ,R380 ,12815.67,0.75,66975,9 +681,R200 ,R259 ,14110.54,0.82,75520,10 +682,R300 ,R332 ,14346.29,0.84,85748,4 +684,R300 ,R304 ,14466.89,0.84,74003,6 +685,R200 ,R219 ,14253.86,0.83,74776,9 +686,R300 ,R359 ,13970.9,0.81,74939,4 +687,R300 ,R324 ,22537.92,1.31,73964,4 +688,R300 ,R313 ,13191.38,0.77,74889,4 +689,R300 ,R360 ,11874.18,0.69,79256,4 +690,R300 ,R320 ,12607.31,0.74,75475,4 +692,R200 ,R212 ,16675.5,0.97,74657,9 +693,R100 ,R131 ,14323.35,0.84,75068,5 +694,R100 ,R102 ,19843.7,1.16,79452,5 +695,R300 ,R369 ,18813.73,1.1,79827,4 +696,R200 ,R264 ,11071.47,0.65,56332,10 +699,R100 ,R178 ,15547.59,0.91,75653,10 +700,R300 ,R376 ,13718.33,0.8,79122,9 +731,R100 ,R133 ,14704.79,0.86,80185,5 +732,R100 ,R121 ,16922.39,0.99,79893,5 +733,R100 ,R147 ,11778.71,0.69,56463,5 +734,R300 ,R348 ,13176.85,0.77,57593,4 +735,R300 ,R376 ,9886.67,0.58,65587,9 +736,R200 ,R232 ,14899.71,0.87,79654,9 +737,R200 ,R211 ,11658.33,0.68,79226,9 +738,R200 ,R218 ,12452.37,0.73,69457,9 +739,R100 ,R177 ,15816.5,0.92,74947,8 +740,R300 ,R348 ,13188.93,0.77,68100,4 +746,R300 ,R349 ,17283.73,1.01,82780,4 +747,R300 ,R346 ,12341.8,0.72,74525,4 +749,R300 ,R335 ,10602.2,0.62,83248,4 +750,R300 ,R348 ,16034.87,0.94,56541,4 +751,R100 ,R126 ,12347.29,0.72,75151,5 +752,R100 ,R118 ,12834.54,0.75,72085,7 +753,R100 ,R112 ,14159.83,0.83,75137,5 +754,R300 ,R331 ,13030.96,0.76,75437,4 +755,R300 ,R371 ,17954.69,1.05,81291,4 +756,R300 ,R351 ,12277.07,0.72,56090,4 +757,R100 ,R140 ,11394.52,0.66,71676,4 +758,R300 ,R321 ,9805.5,0.57,75314,6 +759,R400 ,R466 ,13812.66,0.81,82346,3 +760,R200 ,R265 ,12263.55,0.72,75243,10 +761,R200 ,R205 ,12517.46,0.73,79627,9 +762,R300 ,R355 ,13260.1,0.77,75079,4 +766,R200 ,R258 ,15063.67,0.88,57588,10 +767,R200 ,R206 ,11838.62,0.69,79816,9 +768,R100 ,R178 ,14300.03,0.83,79041,8 +769,R300 ,R374 ,12764.85,0.74,57193,6 +770,R300 ,R321 ,33605.62,1.96,75023,6 +771,R300 ,R327 ,12210.47,0.71,77443,6 +772,R400 ,R466 ,14169.17,0.83,79977,3 +773,R100 ,R140 ,10690.24,0.62,74470,5 +774,R100 ,R167 ,13946.17,0.81,70113,7 +775,R300 ,R302 ,11675,0.68,81270,6 +778,R300 ,R336 ,11251.62,0.66,83741,4 +779,R100 ,R168 ,10057.59,0.59,55763,4 +780,R100 ,R168 ,14748.17,0.86,75680,4 +792,R100 ,R174 ,12913.43,0.75,83730,5 +793,R100 ,R171 ,12900.57,0.75,82156,5 +794,R100 ,R171 ,18977.98,1.11,80586,5 +795,R300 ,R351 ,12827.42,0.75,74892,4 +796,R300 ,R335 ,12221.83,0.71,62396,4 +797,R300 ,R359 ,11817.54,0.69,75447,4 +798,R300 ,R314 ,11531.76,0.67,83273,4 +799,R300 ,R354 ,14277.17,0.83,80716,4 +800,R300 ,R304 ,15227.79,0.89,75364,6 +801,R300 ,R305 ,12687.79,0.74,74903,6 +802,R300 ,R305 ,10382.85,0.61,81104,6 +803,R100 ,R105 ,12177.95,0.71,73609,7 +804,R100 ,R111 ,14030.28,0.82,95593,7 +805,R100 ,R146 ,11351.29,0.66,55502,5 +806,R100 ,R146 ,11181.7,0.65,55848,5 +807,R100 ,R128 ,14802.49,0.86,75358,5 +808,R100 ,R128 ,14435.58,0.84,76023,5 +809,R100 ,R146 ,14463.27,0.84,75443,5 +810,R100 ,R150 ,18293.01,1.07,79359,5 +811,R300 ,R348 ,11270.38,0.66,74535,4 +812,R300 ,R354 ,13458.47,0.78,76779,4 +813,R300 ,R320 ,12430.83,0.73,83627,4 +815,R300 ,R318 ,18275.95,1.07,93937,4 +816,R300 ,R360 ,16732.91,0.98,83497,4 +817,R300 ,R354 ,12219.45,0.71,74986,4 +818,R300 ,R320 ,16331.83,0.95,95399,4 +819,R100 ,R134 ,14761.37,0.86,75749,5 +820,R100 ,R124 ,13094,0.76,74449,5 +821,R100 ,R114 ,13080.87,0.76,55736,5 +822,R300 ,R374 ,13598.9,0.79,73133,6 +823,R300 ,R374 ,10773.36,0.63,73354,6 +824,R300 ,R305 ,16570.77,0.97,73531,6 +825,R300 ,R375 ,21786.15,1.27,82399,9 +826,R300 ,R373 ,14130.02,0.82,77967,9 +827,R200 ,R247 ,14627.47,0.85,77096,9 +828,R200 ,R237 ,14267.82,0.83,79853,9 +830,R200 ,R265 ,14285.9,0.83,75195,10 +831,R100 ,R176 ,9757.66,0.57,54546,7 +832,R300 ,R378 ,10729.06,0.63,54430,6 +833,R100 ,R112 ,21095.08,1.23,94531,5 +834,R100 ,R122 ,10162.99,0.59,74093,5 +835,R100 ,R122 ,17435.22,1.02,95756,5 +836,R100 ,R122 ,18008.8,1.05,94990,5 +837,R100 ,R141 ,18986.37,1.11,74725,5 +838,R100 ,R115 ,16768.37,0.98,77118,5 +839,R100 ,R115 ,16029.09,0.93,81683,5 +840,R100 ,R115 ,18403.36,1.07,94895,5 +841,R100 ,R145 ,14517.66,0.85,73806,5 +842,R100 ,R121 ,13751.94,0.8,81006,5 +843,R100 ,R121 ,19472.96,1.14,73299,5 +844,R300 ,R348 ,18103.13,1.06,79801,4 +845,R300 ,R313 ,12493.38,0.73,75701,4 +847,R100 ,R114 ,17040.68,0.99,82758,5 +848,R100 ,R143 ,11848.11,0.69,56972,8 +849,R300 ,R374 ,15576.15,0.91,73085,6 +850,R300 ,R373 ,12381.32,0.72,75112,9 +851,R300 ,R375 ,10456.67,0.61,79594,9 +852,R200 ,R212 ,13930.61,0.81,75152,9 +853,R200 ,R246 ,14804.51,0.86,80007,9 +854,R300 ,R376 ,12662.51,0.74,79382,9 +855,R300 ,R376 ,12077.75,0.7,75102,9 +856,R100 ,R107 ,11568.85,0.67,56822,7 +857,R100 ,R107 ,12676.07,0.74,72247,7 +858,R300 ,R364 ,12123.38,0.71,81664,6 +859,R100 ,R143 ,11344.36,0.66,56053,8 +860,R100 ,R127 ,10387.94,0.61,57143,7 +861,R100 ,R131 ,14089.19,0.82,69349,5 +862,R100 ,R101 ,17025.68,0.99,75690,5 +863,R100 ,R128 ,16827.45,0.98,75267,5 +864,R100 ,R110 ,13243.49,0.77,57323,5 +865,R100 ,R150 ,16207.49,0.95,74598,5 +866,R100 ,R121 ,17452.99,1.02,74472,5 +867,R100 ,R115 ,15276.27,0.89,78734,5 +868,R100 ,R145 ,13700.88,0.8,72395,5 +870,R100 ,R133 ,14944.44,0.87,73340,5 +871,R100 ,R147 ,14713.99,0.86,75927,5 +872,R100 ,R137 ,19656.7,1.15,83744,5 +873,R300 ,R324 ,14953.98,0.87,82790,4 +874,R300 ,R313 ,11707.98,0.68,78991,4 +875,R300 ,R352 ,8397.58,0.49,80019,6 +876,R300 ,R321 ,7788.55,0.45,75175,6 +877,R300 ,R367 ,15207.69,0.89,79749,4 +878,R100 ,R105 ,12148.5,0.71,70402,7 +879,R100 ,R107 ,10502.31,0.61,57554,7 +880,R100 ,R122 ,14841.71,0.87,81730,5 +881,R100 ,R138 ,10260.59,0.6,75977,5 +882,R300 ,R303 ,13883.89,0.81,75518,6 +883,R200 ,R236 ,25053.52,1.46,80938,9 +884,R300 ,R377 ,12522.09,0.73,56068,9 +885,R100 ,R161 ,22473.63,1.31,83090,8 +887,R300 ,R303 ,11557.09,0.67,57918,6 +888,R300 ,R311 ,11238.45,0.66,70353,6 +891,R100 ,R127 ,10641.29,0.62,56494,5 +893,R100 ,R122 ,9777.19,0.57,75476,5 +894,R100 ,R121 ,12858.27,0.75,75096,5 +895,R100 ,R147 ,14090.52,0.82,68150,5 +896,R100 ,R135 ,15066.37,0.88,75471,5 +897,R300 ,R313 ,15443.46,0.9,79188,4 +898,R300 ,R313 ,11953.84,0.7,79408,4 +899,R300 ,R320 ,15640.01,0.91,79414,4 +901,R100 ,R136 ,13281.67,0.77,83241,5 +904,R100 ,R114 ,15871.84,0.93,83109,5 +905,R100 ,R129 ,11363.9,0.66,56016,7 +906,R100 ,R129 ,9824.93,0.57,56320,7 +907,R300 ,R364 ,12520.79,0.73,75033,6 +909,R300 ,R379 ,20735.77,1.21,78678,9 +910,R200 ,R258 ,17719.57,1.03,74972,10 +911,R200 ,R213 ,14027.57,0.82,83015,9 +912,R200 ,R206 ,12509.72,0.73,79722,9 +913,R200 ,R261 ,21092.98,1.23,80793,9 +914,R200 ,R261 ,17387.01,1.01,84371,9 +915,R100 ,R161 ,12881.37,0.75,57131,10 +917,R300 ,R346 ,16139.13,0.94,79750,4 +918,R300 ,R355 ,16759.65,0.98,79977,4 +919,R300 ,R314 ,10185.33,0.59,68358,4 +920,R300 ,R367 ,13588.43,0.79,79375,4 +921,R300 ,R332 ,15469.82,0.9,58807,4 +922,R100 ,R137 ,14012.34,0.82,77171,5 +923,R100 ,R148 ,14182.56,0.83,70222,5 +924,R100 ,R136 ,10767.7,0.63,56887,5 +926,R100 ,R127 ,13836.29,0.81,65842,5 +927,R100 ,R141 ,15681.73,0.91,83590,5 +928,R100 ,R141 ,15850.61,0.92,87622,5 +929,R100 ,R147 ,15001.34,0.87,70197,5 +930,R100 ,R114 ,14711.92,0.86,67846,5 +931,R100 ,R102 ,15310.65,0.89,75660,5 +935,R300 ,R377 ,17339.27,1.01,64122,9 +936,R300 ,R377 ,16544.2,0.96,79521,9 +937,R200 ,R212 ,20063.99,1.17,85010,9 +938,R200 ,R218 ,13301.26,0.78,80066,9 +939,R200 ,R248 ,16711.96,0.97,80185,9 +940,R200 ,R205 ,16258.42,0.95,79973,9 +941,R200 ,R245 ,16124.66,0.94,67592,9 +942,R100 ,R116 ,38219.99,2.23,96940,5 +943,R100 ,R147 ,18371.27,1.07,75469,5 +945,R100 ,R134 ,11838.7,0.69,59155,5 +947,R300 ,R352 ,8226.42,0.48,79824,6 +949,R200 ,R237 ,17603.78,1.03,85097,9 +950,R300 ,R379 ,13406.43,0.78,80012,9 +952,R300 ,R378 ,11938.23,0.7,66270,6 +953,R300 ,R304 ,10603.24,0.62,56116,6 +955,R300 ,R311 ,19753.34,1.15,74365,6 +957,R100 ,R115 ,11458.47,0.67,73816,5 +958,R300 ,R333 ,10952.48,0.64,56754,4 +959,R300 ,R333 ,9755.63,0.57,56667,4 +961,R300 ,R372 ,17747.27,1.04,81510,4 +962,R300 ,R371 ,11205.51,0.65,70079,4 +963,R300 ,R350 ,11458.97,0.67,58489,4 +964,R300 ,R371 ,11376.51,0.66,70045,4 +966,R300 ,R362 ,9217.09,0.54,62214,4 +967,R300 ,R315 ,14439.93,0.84,70385,4 +968,R300 ,R349 ,20125.68,1.17,83082,4 +969,R300 ,R334 ,9875.95,0.58,57011,4 +970,R300 ,R335 ,14499.95,0.85,75908,4 +981,R300 ,R334 ,13241.83,0.77,79540,4 +982,R300 ,R335 ,11540.62,0.67,74821,4 +984,R100 ,R171 ,14974.6,0.87,68595,5 +985,R100 ,R174 ,14832.65,0.87,75672,5 +986,R100 ,R171 ,11025.8,0.64,57584,5 +988,R100 ,R170 ,12355.24,0.72,63054,5 +989,R100 ,R169 ,11680.45,0.68,58275,5 +990,R100 ,R169 ,10210.04,0.6,57146,5 +992,R100 ,R117 ,14328.27,0.84,65440,7 +993,R300 ,R364 ,13744.05,0.8,74276,6 +995,R200 ,R264 ,20885.95,1.22,82546,10 +996,R200 ,R265 ,16589.49,0.97,75233,10 +997,R200 ,R201 ,15421.41,0.9,84558,9 +1000,R400 ,R411 ,14057.39,0.82,74789,3 +1001,R400 ,R411 ,13268.69,0.77,87398,3 +1002,R400 ,R411 ,16054.98,0.94,84630,3 +1003,R400 ,R415 ,14109.36,0.82,82540,3 +1004,R400 ,R415 ,11784.21,0.69,79136,3 +1005,R400 ,R466 ,12042.22,0.7,68204,3 +1006,R400 ,R412 ,17199.14,1,82372,3 +1007,R400 ,R448 ,14373.35,0.84,82088,3 +1008,R400 ,R415 ,13985.06,0.82,83379,3 +1009,R400 ,R441 ,14171.18,0.83,74705,3 +1010,R400 ,R416 ,14718.4,0.86,82060,2 +1011,R400 ,R416 ,12925.4,0.75,75375,2 +1012,R400 ,R416 ,11941.58,0.7,74898,2 +1013,R400 ,R416 ,13957.03,0.81,74932,2 +1014,R400 ,R416 ,11156.08,0.65,75024,2 +1015,R300 ,R371 ,15384.24,0.9,71263,4 +1016,R400 ,R417 ,13455.75,0.78,75665,3 +1017,R400 ,R417 ,12332.08,0.72,69990,3 +1018,R400 ,R417 ,20712.37,1.21,82804,3 +1019,R400 ,R417 ,11427,0.67,83081,3 +1021,R300 ,R370 ,14852.7,0.87,76304,3 +1022,R300 ,R371 ,13437.58,0.78,57277,4 +1023,R300 ,R354 ,15593.41,0.91,85795,4 +1024,R100 ,R115 ,21665.05,1.26,84615,5 +1025,R200 ,R246 ,13903.17,0.81,81194,9 +1026,R200 ,R247 ,12856.44,0.75,75357,9 +1027,R200 ,R240 ,21268.54,1.24,81889,9 +1028,R200 ,R217 ,15093.6,0.88,83790,9 +1029,R200 ,R231 ,23800.31,1.39,87063,9 +1030,R300 ,R332 ,15032.77,0.88,82969,4 +1031,R100 ,R167 ,21315.47,1.24,83823,7 +1032,R300 ,R352 ,9621.68,0.56,79793,6 +1033,R200 ,R263 ,13752.57,0.8,74564,9 +1034,R300 ,R378 ,15048.36,0.88,80008,6 +1035,R100 ,R118 ,16421.83,0.96,79010,7 +1036,R100 ,R150 ,15931.75,0.93,75424,5 +1037,R100 ,R172 ,13312.31,0.78,72938,5 +1038,R300 ,R367 ,20952.9,1.22,82276,4 +1039,R300 ,R349 ,21585.09,1.26,75780,4 +1040,R200 ,R261 ,17256.26,1.01,82212,9 +1041,R400 ,R417 ,13848.16,0.81,83308,3 +1042,R400 ,R448 ,22541.27,1.31,74488,3 +1043,R400 ,R411 ,9674.19,0.56,57629,3 +1044,R400 ,R448 ,18648.55,1.09,74381,3 +1045,R400 ,R411 ,12697.34,0.74,57680,3 +1046,R400 ,R448 ,15008.95,0.88,74546,3 +1047,R300 ,R370 ,17068.33,1,84460,3 +1048,R300 ,R370 ,12571.53,0.73,89661,3 +1049,R400 ,R417 ,19411.15,1.13,83480,3 +1050,R300 ,R360 ,13629.29,0.79,78543,4 +1051,R300 ,R354 ,14358.95,0.84,57784,4 +1052,R100 ,R136 ,13649.62,0.8,83128,5 +1053,R300 ,R360 ,10981.1,0.64,81251,4 +1054,R200 ,R210 ,16034.08,0.94,79288,9 +1055,R400 ,R419 ,15761.67,0.92,74162,2 +1056,R400 ,R467 ,19275.98,1.12,81604,2 +1057,R400 ,R416 ,19422.2,1.13,85123,2 +1058,R100 ,R169 ,26827.81,1.56,77525,5 +1059,R300 ,R333 ,11100.21,0.65,76026,4 +1060,R100 ,R146 ,18741.09,1.09,85682,5 +1061,R300 ,R322 ,27634.12,1.61,77934,6 +1062,R200 ,R245 ,19180.99,1.12,84643,9 +1063,R100 ,R138 ,15725.63,0.92,75663,5 +1064,R200 ,R265 ,11304.91,0.66,56919,10 +1065,R300 ,R302 ,8036.52,0.47,78622,6 +1066,R300 ,R341 ,10094.74,0.59,82977,6 +1068,R100 ,R111 ,11222.77,0.65,54672,5 +1069,R100 ,R146 ,13950.53,0.81,85092,5 +1070,R100 ,R150 ,11085.66,0.65,58193,5 +1071,R100 ,R168 ,14238.13,0.83,79308,4 +1072,R100 ,R169 ,20588.88,1.2,84598,5 +1073,R300 ,R336 ,10449.04,0.61,55976,4 +1074,R300 ,R367 ,15783.12,0.92,75181,4 +1075,R300 ,R349 ,11196.88,0.65,74087,4 +1076,R400 ,R412 ,22054.33,1.29,79882,3 +1077,R300 ,R358 ,12022.74,0.7,75830,4 +1078,R300 ,R358 ,12216.56,0.71,80443,4 +1079,R300 ,R358 ,10462.42,0.61,57122,4 +1080,R300 ,R372 ,12041.19,0.7,79206,4 +1081,R300 ,R362 ,10805.16,0.63,78940,4 +1082,R100 ,R178 ,13987.89,0.82,56530,10 +1083,R400 ,R451 ,10262.03,0.6,78939,2 +1084,R400 ,R419 ,14913.21,0.87,73647,2 +1085,R400 ,R422 ,17797.87,1.04,76086,2 +1086,R300 ,R358 ,14044.87,0.82,79541,4 +1087,R300 ,R355 ,14673.58,0.86,80952,4 +1088,R400 ,R441 ,18484.7,1.08,81178,3 +1090,R300 ,R337 ,15288.34,0.89,84845,4 +1091,R100 ,R172 ,14574.08,0.85,81192,5 +1092,R100 ,R172 ,16969.16,0.99,83984,5 +1094,R100 ,R168 ,13793.7,0.8,78733,4 +1095,R100 ,R126 ,14865.29,0.87,82374,5 +1096,R100 ,R111 ,12782.47,0.75,66120,5 +1097,R200 ,R208 ,14637.24,0.85,67586,9 +1098,R200 ,R220 ,13887.15,0.81,83914,9 +1100,R200 ,R240 ,21448.34,1.25,83303,9 +1101,R100 ,R117 ,14793.07,0.86,78536,7 +1102,R100 ,R118 ,23101.55,1.35,87697,7 +1103,R300 ,R370 ,25616.65,1.49,84246,3 +1104,R300 ,R371 ,11324.7,0.66,78459,4 +1105,R300 ,R370 ,12581.38,0.73,79341,3 +1106,R300 ,R334 ,11322.44,0.66,78249,4 +1107,R300 ,R371 ,14886.03,0.87,79096,4 +1108,R400 ,R424 ,11003.09,0.64,73761,2 +1109,R400 ,R450 ,14145,0.83,79394,2 +1110,R300 ,R310 ,12190.37,0.71,78641,4 +1112,R100 ,R170 ,14990.05,0.87,77496,5 +1113,R100 ,R127 ,20601.29,1.2,78812,7 +1114,R100 ,R167 ,13789.7,0.8,83990,6 +1115,R300 ,R304 ,12955.25,0.76,78319,6 +1116,R300 ,R306 ,10543.9,0.61,79008,6 +1117,R300 ,R378 ,13617.13,0.79,78255,6 +1118,R200 ,R264 ,22466.87,1.31,79799,10 +1120,R200 ,R240 ,13126.34,0.77,70788,9 +1121,R200 ,R220 ,22210.7,1.3,83934,9 +1122,R200 ,R210 ,18475.35,1.08,81029,9 +1124,R300 ,R364 ,12002.15,0.7,79023,6 +1125,R100 ,R112 ,12638.07,0.74,62204,5 +1126,R300 ,R333 ,13139.84,0.77,78886,4 +1128,R100 ,R173 ,14548.73,0.85,80305,5 +1129,R100 ,R173 ,13539.23,0.79,79721,5 +1131,R300 ,R354 ,14374.63,0.84,78799,4 +1132,R400 ,R422 ,14373.61,0.84,84626,2 +1133,R400 ,R422 ,14022.38,0.82,79655,2 +1134,R400 ,R453 ,15159.2,0.88,78859,3 +1135,R400 ,R462 ,19665.56,1.15,85269,3 +1136,R400 ,R453 ,13097.71,0.76,78977,3 +1137,R400 ,R448 ,15243.67,0.89,78353,3 +1138,R400 ,R448 ,17921.49,1.05,85901,3 +1139,R400 ,R455 ,27999.72,1.63,89058,2 +1140,R200 ,R201 ,16988.81,0.99,80860,9 +1141,R300 ,R377 ,12812.43,0.75,79106,9 +1142,R400 ,R411 ,15035.9,0.88,82658,3 +1143,R200 ,R245 ,12793.1,0.75,79506,9 +1144,R100 ,R124 ,21673.35,1.26,81623,5 +1146,R400 ,R453 ,33031.59,1.93,80804,3 +1147,R400 ,R455 ,14760.76,0.86,79867,2 +1148,R400 ,R424 ,13470.5,0.79,81984,2 +1150,R400 ,R469 ,25788.59,1.5,83349,2 +1151,R400 ,R450 ,15274.37,0.89,79397,2 +1152,R400 ,R419 ,13937.29,0.81,79011,2 +1153,R400 ,R450 ,23008.64,1.34,84564,2 +1154,R400 ,R450 ,16797.18,0.98,78819,2 +1155,R400 ,R419 ,13177.32,0.77,80978,2 +1156,R400 ,R467 ,17689.87,1.03,79459,2 +1157,R400 ,R416 ,13734.36,0.8,79557,2 +1158,R400 ,R422 ,13956.47,0.81,79348,2 +1159,R400 ,R421 ,18608.6,1.09,82152,3 +1160,R400 ,R430 ,11125.02,0.65,62480,3 +1161,R300 ,R370 ,13171.81,0.77,79065,3 +1162,R400 ,R457 ,14130.48,0.82,79301,3 +1163,R300 ,R318 ,18493.36,1.08,84345,4 +1164,R300 ,R336 ,10590.98,0.62,78743,4 +1165,R300 ,R334 ,12077.48,0.7,79712,4 +1166,R100 ,R150 ,14064.14,0.82,78521,5 +1167,R100 ,R112 ,17379.38,1.01,80765,5 +1168,R100 ,R112 ,18790.14,1.1,81642,5 +1169,R300 ,R332 ,11280.83,0.66,78478,4 +1170,R100 ,R105 ,15595.7,0.91,78914,7 +1171,R300 ,R380 ,17415.95,1.02,82328,9 +1172,R300 ,R336 ,9759.44,0.57,62950,4 +1175,R400 ,R446 ,18480.61,1.08,76110,2 +1176,R100 ,R112 ,17171.21,1,77791,5 +1177,R100 ,R123 ,15118.3,0.88,79774,7 +1178,R100 ,R176 ,12340.5,0.72,78861,8 +1179,R300 ,R340 ,15139.54,0.88,78851,4 +1180,R300 ,R358 ,13044.07,0.76,79698,4 +1181,R300 ,R362 ,10450.84,0.61,79400,4 +1182,R300 ,R337 ,16836.04,0.98,79479,4 +1183,R400 ,R462 ,13107.52,0.76,79279,3 +1184,R400 ,R450 ,9849.95,0.57,80286,2 +1185,R100 ,R126 ,17363.88,1.01,81612,5 +1186,R400 ,R452 ,15409.89,0.9,74371,1 +1187,R400 ,R452 ,20348.66,1.19,77961,1 +1188,R400 ,R428 ,13428.24,0.78,79648,1 +1189,R400 ,R428 ,14250.59,0.83,79736,1 +1190,R400 ,R470 ,12793.33,0.75,79611,1 +1191,R400 ,R424 ,12364.48,0.72,80719,2 +1192,R400 ,R450 ,14769.51,0.86,74289,2 +1193,R400 ,R448 ,19389.97,1.13,85733,3 +1194,R400 ,R416 ,13524.5,0.79,80037,2 +1195,R400 ,R467 ,14231.23,0.83,80267,2 +1196,R400 ,R421 ,15065.12,0.88,80017,3 +1197,R300 ,R335 ,21077.27,1.23,80742,4 +1198,R300 ,R337 ,13790.65,0.8,79458,4 +1199,R300 ,R337 ,12523.74,0.73,79304,4 +1200,R100 ,R172 ,13295.01,0.78,79646,4 +1201,R100 ,R123 ,13544,0.79,81430,7 +1204,R300 ,R327 ,11405.33,0.67,79878,6 +1205,R200 ,R262 ,14477.44,0.84,80534,10 +1206,R300 ,R346 ,14214.46,0.83,80243,4 +1207,R300 ,R373 ,20865.33,1.22,82256,9 +1208,R200 ,R211 ,22029.06,1.28,82114,9 +1209,R300 ,R379 ,14094.86,0.82,80224,9 +1210,R100 ,R131 ,10714.23,0.62,79360,5 +1211,R100 ,R111 ,14078.84,0.82,80387,5 +1212,R100 ,R128 ,14011.98,0.82,63259,5 +1213,R100 ,R121 ,12974.21,0.76,79146,5 +1214,R100 ,R140 ,8109.67,0.47,79013,5 +1215,R100 ,R174 ,10601.42,0.62,79046,5 +1216,R400 ,R454 ,14410.69,0.84,79294,3 +1217,R400 ,R430 ,16143.12,0.94,80165,3 +1218,R400 ,R430 ,11138.91,0.65,79979,3 +1219,R400 ,R454 ,15455.74,0.9,79945,3 +1220,R400 ,R454 ,12999.54,0.76,79354,3 +1221,R400 ,R431 ,13904,0.81,79928,3 +1222,R400 ,R431 ,16531.44,0.96,80225,3 +1223,R300 ,R336 ,14408.13,0.84,80433,4 +1224,R400 ,R419 ,10164.62,0.59,81838,2 +1225,R400 ,R417 ,13041.87,0.76,80551,3 +1226,R300 ,R371 ,11064.58,0.65,63020,4 +1227,R400 ,R447 ,11871.08,0.69,79768,1 +1228,R400 ,R468 ,17561.85,1.02,80552,1 +1229,R400 ,R452 ,18859.41,1.1,83211,1 +1230,R100 ,R161 ,19998.5,1.17,79519,10 +1231,R300 ,R302 ,9206.64,0.54,79375,6 +1232,R400 ,R439 ,14797.27,0.86,87986,1 +1233,R400 ,R415 ,11725.46,0.68,62042,3 +1234,R400 ,R457 ,13125.97,0.77,79367,3 +1235,R100 ,R102 ,14789.14,0.86,78414,5 +1236,R100 ,R173 ,16660.4,0.97,81797,5 +1237,R100 ,R161 ,24438.29,1.43,78241,8 +1238,R200 ,R202 ,18677.19,1.09,79905,9 +1239,R200 ,R220 ,11286.18,0.66,79193,9 +1241,R100 ,R118 ,14363.32,0.84,79052,7 +1242,R300 ,R375 ,14528.31,0.85,81165,9 +1244,R100 ,R124 ,13415.1,0.78,81303,5 +1246,R100 ,R128 ,10999.6,0.64,63183,5 +1247,R100 ,R128 ,16005.53,0.93,83242,5 +1248,R100 ,R128 ,15318.3,0.89,79830,5 +1249,R400 ,R439 ,14685.61,0.86,81453,1 +1250,R300 ,R351 ,12324.57,0.72,80155,4 +1251,R100 ,R134 ,14639.79,0.85,81741,5 +1252,R100 ,R173 ,14030.26,0.82,81000,5 +1253,R400 ,R454 ,14300.85,0.83,81697,3 +1254,R400 ,R431 ,15113.43,0.88,80391,3 +1255,R400 ,R439 ,16585.27,0.97,81167,1 +1256,R400 ,R421 ,14669.22,0.86,82210,3 +1257,R400 ,R448 ,13004.29,0.76,63664,3 +1258,R400 ,R415 ,14006.86,0.82,80424,3 +1259,R400 ,R430 ,14837.91,0.87,80493,3 +1260,R400 ,R461 ,14254.66,0.83,79752,3 +1261,R100 ,R169 ,17535.15,1.02,80978,3 +1263,R400 ,R446 ,11517.84,0.67,71425,2 +1264,R400 ,R455 ,17426.34,1.02,82748,2 +1265,R400 ,R411 ,13676.07,0.8,80181,3 +1266,R400 ,R452 ,17968.16,1.05,83686,1 +1267,R400 ,R439 ,14506.19,0.85,80481,1 +1268,R400 ,R438 ,16958.27,0.99,79959,2 +1269,R400 ,R421 ,18921.78,1.1,82963,3 +1270,R400 ,R454 ,13033.07,0.76,78340,3 +1271,R400 ,R438 ,17143.28,1,80121,2 +1272,R100 ,R101 ,15188.72,0.89,80758,5 +1273,R300 ,R359 ,13815.79,0.81,79850,4 +1274,R300 ,R359 ,12682.06,0.74,78868,4 +1275,R400 ,R457 ,15737.15,0.92,80027,3 +1278,R100 ,R117 ,13831.31,0.81,79474,7 +1279,R100 ,R117 ,14764.1,0.86,81064,7 +1280,R100 ,R118 ,16188.82,0.94,80452,7 +1281,R400 ,R468 ,12969.39,0.76,81367,1 +1282,R100 ,R161 ,12354.55,0.72,56298,8 +1283,R200 ,R205 ,15097.95,0.88,79886,9 +1284,R200 ,R264 ,25793.89,1.5,82810,10 +1285,R100 ,R148 ,14530.65,0.85,80626,5 +1286,R100 ,R133 ,15769.99,0.92,80906,5 +1287,R100 ,R170 ,13921.28,0.81,81542,3 +1288,R400 ,R430 ,15454.86,0.9,80472,3 +1289,R400 ,R439 ,19364.94,1.13,81467,1 +1290,R400 ,R452 ,11960.35,0.7,63834,1 +1291,R400 ,R421 ,12250.01,0.71,80365,3 +1292,R400 ,R457 ,16208.91,0.95,79934,3 +1293,R200 ,R202 ,22852.88,1.33,85522,9 +1294,R300 ,R313 ,17682.77,1.03,79679,4 +1295,R400 ,R412 ,13334.85,0.78,79468,3 +1296,R400 ,R451 ,16585.17,0.97,79249,2 +1298,R300 ,R350 ,14447.75,0.84,79876,4 +1299,R300 ,R314 ,15354.12,0.9,79715,4 +1300,R300 ,R315 ,15217.94,0.89,80226,4 +1301,R100 ,R171 ,14515.28,0.85,80208,5 +1302,R300 ,R333 ,23175.96,1.35,79567,4 +1303,R100 ,R124 ,13451.41,0.78,81107,5 +1304,R200 ,R218 ,16774.45,0.98,81102,9 +1305,R200 ,R222 ,20472.84,1.19,86040,9 +1306,R200 ,R204 ,32559.93,1.9,91970,9 +1307,R200 ,R209 ,21987.41,1.28,83980,9 +1308,R400 ,R470 ,18482.67,1.08,83345,1 +1309,R200 ,R209 ,15277.8,0.89,81646,9 +1310,R300 ,R337 ,11012.4,0.64,79479,4 +1311,R100 ,R110 ,14029.58,0.82,82227,5 +1312,R400 ,R453 ,14622.92,0.85,80088,3 +1313,R100 ,R135 ,23476.69,1.37,86317,5 +1314,R100 ,R117 ,14457.01,0.84,80920,7 +1315,R400 ,R419 ,11562.07,0.67,80625,2 +1316,R300 ,R376 ,13610.25,0.79,80978,9 +1317,R100 ,R148 ,12925.82,0.75,81033,5 +1318,R400 ,R451 ,16736.78,0.98,78508,2 +1319,R300 ,R337 ,12855.22,0.75,80331,4 +1322,R300 ,R369 ,13086.18,0.76,79663,4 +1323,R100 ,R122 ,14305.24,0.83,95195,5 +1324,R100 ,R170 ,13496.36,0.79,81663,5 +1325,R100 ,R174 ,14430.11,0.84,81330,5 +1326,R100 ,R177 ,15237.48,0.89,79425,8 +1327,R300 ,R377 ,12630.56,0.74,80721,9 +1328,R200 ,R222 ,23358.4,1.36,81521,9 +1329,R200 ,R239 ,17148.27,1,82561,9 +1330,R400 ,R446 ,15806.71,0.92,80652,2 +1331,R200 ,R264 ,14018.96,0.82,81655,10 +1332,R200 ,R236 ,21445.53,1.25,82277,9 +1333,R100 ,R161 ,16263.73,0.95,79126,8 +1334,R100 ,R128 ,17864.74,1.04,80908,5 +1335,R300 ,R375 ,15171.29,0.88,80519,9 +1336,R300 ,R311 ,24842.32,1.45,95996,6 +1337,R300 ,R318 ,12336.16,0.72,85393,4 +1338,R400 ,R447 ,17778.52,1.04,80001,1 +1339,R300 ,R306 ,21062.07,1.23,93983,6 +1340,R200 ,R217 ,16611.88,0.97,84922,9 +1341,R400 ,R466 ,18120.18,1.06,81178,3 +1342,R100 ,R141 ,15531.83,0.91,81296,5 +1344,R400 ,R469 ,22846.31,1.33,82594,2 +1345,R400 ,R450 ,13408.56,0.78,80360,2 +1346,R300 ,R369 ,14549.77,0.85,94357,4 +1347,R300 ,R353 ,12193.9,0.71,94361,6 +1348,R400 ,R468 ,15041.11,0.88,80072,1 +1349,R300 ,R337 ,13841.34,0.81,79596,4 +1350,R100 ,R138 ,30718.17,1.79,95521,5 +1351,R100 ,R111 ,24733.96,1.44,100835,5 +1352,R100 ,R101 ,19718.35,1.15,94257,5 +1353,R100 ,R118 ,15134.69,0.88,84225,7 +1354,R300 ,R327 ,17198.42,1,94215,6 +1355,R200 ,R262 ,15925.03,0.93,80115,10 +1356,R100 ,R101 ,21051.73,1.23,103397,5 +1357,R300 ,R373 ,13590.44,0.79,79802,8 +1358,R400 ,R459 ,10900.3,0.64,77528,2 +1359,R300 ,R311 ,14125.21,0.82,95097,6 +1360,R300 ,R377 ,18079.46,1.05,85527,9 +1361,R300 ,R375 ,13041.25,0.76,82293,9 +1362,R200 ,R236 ,31221.44,1.82,85097,9 +1363,R200 ,R220 ,16885.45,0.98,85327,9 +1364,R100 ,R140 ,15796.29,0.92,95279,5 +1365,R400 ,R422 ,16904.97,0.99,79025,2 +1366,R100 ,R138 ,19422.64,1.13,95278,5 +1367,R300 ,R369 ,21935.64,1.28,95279,4 +1368,R300 ,R321 ,15959.63,0.93,95107,6 +1369,R300 ,R353 ,20938.86,1.22,97765,6 +1370,R300 ,R351 ,21402.18,1.25,94830,4 +1371,R300 ,R355 ,18402.2,1.07,78748,4 +1372,R100 ,R175 ,18704.56,1.09,98021,8 +1373,R400 ,R460 ,12884.8,0.75,80056,1 +1374,R400 ,R428 ,15221.4,0.89,80795,1 +1375,R100 ,R126 ,18618.96,1.09,83566,5 +1376,R300 ,R359 ,17153.75,1,94993,4 +1377,R300 ,R303 ,14410.68,0.84,95711,6 +1378,R400 ,R450 ,19715.08,1.15,85219,2 +1380,R300 ,R346 ,47074.8,2.75,79595,4 +1381,R100 ,R171 ,12612.89,0.74,80521,5 +1382,R300 ,R314 ,34903.38,2.04,94993,4 +1383,R200 ,R244 ,15240.51,0.89,85622,9 +1384,R200 ,R250 ,34506.5,2.01,85650,9 +1385,R100 ,R112 ,15226.12,0.89,80772,5 +1386,R300 ,R374 ,14175.13,0.83,80878,9 +1388,R100 ,R123 ,13260.85,0.77,80152,7 +1389,R400 ,R422 ,13918.33,0.81,81639,2 +1390,R300 ,R346 ,15809.78,0.92,79934,4 +1391,R300 ,R350 ,15032.69,0.88,79377,4 +1392,R100 ,R123 ,31337.39,1.83,95000,7 +1393,R100 ,R172 ,13678.93,0.8,79856,5 +1394,R300 ,R335 ,14994.85,0.87,95605,4 +1395,R300 ,R326 ,13013.86,0.76,95743,6 +1396,R300 ,R303 ,17825.5,1.04,95078,6 +1397,R300 ,R301 ,15724.42,0.92,94846,6 +1398,R300 ,R301 ,24879.51,1.45,94864,6 +1399,R300 ,R353 ,14691.16,0.86,79472,6 +1400,R300 ,R336 ,13578.61,0.79,95628,4 +1401,R400 ,R469 ,17203.32,1,84844,2 +1402,R100 ,R115 ,13736.85,0.8,79895,5 +1403,R100 ,R115 ,13620.81,0.79,84794,5 +1404,R400 ,R428 ,13940.57,0.81,79683,1 +1405,R200 ,R260 ,13101.65,0.76,79864,10 +1406,R200 ,R260 ,15898.42,0.93,78002,10 +1407,R200 ,R210 ,20547.2,1.2,76106,9 +1408,R200 ,R236 ,27562.74,1.61,77741,9 +1409,R200 ,R207 ,27878.23,1.63,84687,9 +1410,R200 ,R201 ,32452.36,1.89,88936,9 +1411,R200 ,R263 ,16017.4,0.93,79155,9 +1413,R100 ,R175 ,15207.33,0.89,85438,8 +1414,R400 ,R430 ,13957.06,0.81,77501,3 +1415,R400 ,R448 ,18922.65,1.1,82904,3 +1416,R400 ,R441 ,14708.29,0.86,80098,3 +1417,R200 ,R213 ,15727.61,0.92,81041,9 +1418,R200 ,R244 ,16708.99,0.97,78174,9 +1419,R200 ,R260 ,18432.1,1.08,81868,10 +1420,R300 ,R370 ,11546.59,0.67,62802,3 +1421,R200 ,R260 ,17185.44,1,79427,9 +1422,R200 ,R237 ,20517.5,1.2,78465,9 +1423,R200 ,R206 ,13769.65,0.8,77332,9 +1424,R200 ,R217 ,19904.37,1.16,80465,9 +1425,R200 ,R263 ,20894.31,1.22,78662,9 +1426,R200 ,R237 ,18938.16,1.1,79716,9 +1427,R200 ,R233 ,20566.2,1.2,88324,9 +1428,R200 ,R211 ,19987.72,1.17,78509,9 +1429,R300 ,R379 ,12286.66,0.72,80337,9 +1430,R300 ,R326 ,12633.06,0.74,94626,6 +1431,R400 ,R441 ,26944.05,1.57,90013,3 +1432,R300 ,R377 ,13568.45,0.79,79816,9 +1435,R300 ,R364 ,15195.82,0.89,81361,6 +1436,R100 ,R144 ,22996.24,1.34,78564,7 +1437,R100 ,R141 ,20784.42,1.21,92520,5 +1438,R200 ,R247 ,11378.66,0.66,59126,9 +1439,R300 ,R376 ,16151.14,0.94,79653,9 +1441,R400 ,R429 ,11597.57,0.68,60789,1 +1442,R400 ,R429 ,31402.58,1.83,90993,1 +1443,R400 ,R462 ,19582.85,1.14,73075,3 +1444,R200 ,R258 ,41456.43,2.42,79606,10 +1445,R100 ,R133 ,21046.09,1.23,94300,5 +1446,R100 ,R133 ,12958.75,0.76,77910,5 +1447,R100 ,R172 ,13750.87,0.8,79846,5 +1448,R100 ,R124 ,20413.45,1.19,94866,5 +1449,R300 ,R331 ,19998.13,1.17,82829,6 +1450,R300 ,R331 ,15567.47,0.91,79546,6 +1451,R300 ,R331 ,13618.26,0.79,79783,6 +1452,R300 ,R337 ,13203.65,0.77,80883,4 +1453,R300 ,R346 ,16843.49,0.98,80290,4 +1454,R300 ,R320 ,15849.37,0.92,80019,4 +1455,R100 ,R123 ,19161.4,1.12,94722,7 +1456,R100 ,R124 ,17681.74,1.03,94306,5 +1457,R300 ,R304 ,11364.39,0.66,94628,6 +1458,R300 ,R304 ,17584.32,1.03,94658,6 +1459,R300 ,R303 ,18111.48,1.06,94434,6 +1460,R100 ,R145 ,11495.93,0.67,79898,5 +1461,R300 ,R346 ,14904.54,0.87,94871,4 +1462,R300 ,R373 ,14882.73,0.87,83934,9 +1463,R100 ,R171 ,15408.63,0.9,80236,5 +1464,R400 ,R461 ,11662.73,0.68,80767,2 +1465,R100 ,R137 ,16060.82,0.94,80600,5 +1466,R100 ,R134 ,15546.77,0.91,80184,5 +1467,R400 ,R419 ,15155.51,0.88,80047,2 +1468,R300 ,R348 ,18186.62,1.06,82108,4 +1469,R300 ,R353 ,61312.57,3.58,80610,6 +1470,R100 ,R167 ,16364.57,0.95,79786,6 +1471,R100 ,R175 ,15954.86,0.93,95756,8 +1472,R200 ,R211 ,13471.26,0.79,77852,9 +1473,R300 ,R353 ,19010.14,1.11,95348,6 +1474,R400 ,R461 ,15159.92,0.88,79873,3 +1475,R400 ,R467 ,13767,0.8,80833,2 +1476,R400 ,R467 ,14527.01,0.85,79280,2 +1477,R400 ,R438 ,15080.73,0.88,79713,2 +1478,R100 ,R169 ,13882.8,0.81,79796,3 +1479,R100 ,R168 ,12891.86,0.75,79728,4 +1480,R300 ,R367 ,13070.76,0.76,80034,4 +1481,R100 ,R140 ,19755.47,1.15,84260,5 +1482,R100 ,R136 ,14472.82,0.84,80809,5 +1483,R100 ,R128 ,14561.18,0.85,79837,5 +1484,R100 ,R163 ,18753.39,1.09,94822,5 +1485,R200 ,R231 ,18068.32,1.05,80187,9 +1486,R300 ,R335 ,18023.41,1.05,84388,4 +1487,R100 ,R144 ,20972.67,1.22,84348,7 +1489,R300 ,R302 ,12780.93,0.75,94372,6 +1490,R300 ,R305 ,13568.24,0.79,79570,6 +1491,R400 ,R446 ,16934.42,0.99,79942,2 +1492,R400 ,R467 ,14625.56,0.85,79907,2 +1493,R300 ,R350 ,16529.17,0.96,81017,4 +1495,R400 ,R428 ,14986.81,0.87,79343,1 +1496,R400 ,R468 ,13230.69,0.77,78045,1 +1497,R300 ,R315 ,11006.6,0.64,79928,4 +1499,R300 ,R340 ,14006.27,0.82,80166,4 +1500,R100 ,R179 ,20110.3,1.17,94844,8 +1501,R100 ,R177 ,20363.69,1.19,94939,8 +1502,R200 ,R208 ,21349.7,1.25,85173,9 +1504,R300 ,R372 ,19012.51,1.11,94142,4 +1505,R300 ,R362 ,20788.14,1.21,94433,4 +1506,R300 ,R321 ,28557.96,1.67,79612,6 +1507,R200 ,R211 ,10823.89,0.63,82990,9 +1508,R400 ,R467 ,17396.41,1.01,79605,2 +1509,R100 ,R117 ,18392.96,1.07,79962,7 +1510,R400 ,R461 ,11503.86,0.67,85690,3 +1511,R300 ,R333 ,18266.55,1.07,80047,4 +1512,R300 ,R367 ,18369.17,1.07,94925,4 +1513,R100 ,R168 ,12302.6,0.72,79288,4 +1514,R300 ,R321 ,11305.94,0.66,94433,6 +1515,R100 ,R117 ,17495.95,1.02,82714,7 +1516,R400 ,R468 ,10656.16,0.62,79472,1 +1517,R300 ,R321 ,13371.28,0.78,94433,6 +1518,R300 ,R365 ,17623.12,1.03,91271,4 +1519,R300 ,R324 ,16814.27,0.98,94293,4 +1520,R400 ,R447 ,13936.58,0.81,79488,1 +1521,R400 ,R438 ,13481.91,0.79,79709,2 +1522,R100 ,R111 ,12006.22,0.7,79527,5 +1523,R300 ,R327 ,14753.24,0.86,94693,6 +1524,R300 ,R380 ,18225.45,1.06,84745,9 +1525,R100 ,R179 ,17651.41,1.03,79686,8 +1526,R200 ,R218 ,15836.53,0.92,79652,9 +1527,R200 ,R246 ,13418.91,0.78,79960,9 +1528,R400 ,R459 ,12496,0.73,79482,1 +1529,R300 ,R350 ,13856.34,0.81,79914,4 +1530,R100 ,R138 ,14005.68,0.82,78964,5 +1531,R300 ,R306 ,12549.21,0.73,85562,6 +1532,R400 ,R468 ,14153.75,0.83,79596,1 +1533,R400 ,R441 ,13093.09,0.76,79856,3 +1534,R100 ,R172 ,14811.02,0.86,81127,5 +1535,R300 ,R303 ,11991.54,0.7,79278,6 +1536,R300 ,R306 ,13411.79,0.78,94415,6 +1537,R100 ,R107 ,13158.31,0.77,79801,7 +1538,R100 ,R123 ,13557.97,0.79,79756,7 +1539,R100 ,R117 ,17090.09,1,79948,5 +1540,R100 ,R161 ,20973.79,1.22,78853,8 +1541,R400 ,R411 ,12628.49,0.74,80594,3 +1542,R300 ,R341 ,11343.29,0.66,78324,6 +1543,R100 ,R144 ,11447.45,0.67,79848,7 +1544,R400 ,R459 ,18982.28,1.11,86453,1 +1545,R100 ,R172 ,13674.89,0.8,80832,5 +1546,R300 ,R336 ,13927.83,0.81,81677,4 +1547,R200 ,R240 ,16454.87,0.96,79638,9 +1548,R200 ,R232 ,14052.03,0.82,80193,9 +1750,R100 ,R178 ,16773.24,0.98,86701,8 +1751,R100 ,R178 ,25765.46,1.5,96518,8 +1752,R100 ,R178 ,23523.94,1.37,90711,8 +1753,R100 ,R178 ,17863.16,1.04,86804,8 +1754,R100 ,R178 ,30769.6,1.79,95329,8 +1755,R100 ,R178 ,19087.56,1.11,93951,8 +1756,R100 ,R144 ,22257.67,1.3,94759,7 +1757,R100 ,R144 ,18282.25,1.07,99554,7 +1759,R100 ,R144 ,14250.34,0.83,105819,7 +1760,R300 ,R365 ,22732.47,1.33,95022,4 +1761,R300 ,R334 ,15610.46,0.91,114596,4 +1762,R100 ,R138 ,17159.27,1,115418,5 +1763,R300 ,R326 ,13275.82,0.77,114551,6 +1764,R300 ,R326 ,17831.69,1.04,95616,6 +1765,R300 ,R342 ,15134.86,0.88,95689,6 +1766,R300 ,R321 ,10585.66,0.62,97674,6 +1767,R100 ,R105 ,19927.12,1.16,114575,7 +1768,R100 ,R127 ,21937.37,1.28,94945,7 +1769,R100 ,R176 ,19421.32,1.13,95171,8 +1770,R300 ,R342 ,14799.48,0.86,96337,6 +1771,R100 ,R127 ,15920.12,0.93,90966,7 +1772,R300 ,R340 ,19001.11,1.11,93637,4 +1773,R300 ,R340 ,15456.68,0.9,93900,4 +1774,R100 ,R111 ,18948.96,1.11,91645,5 +1775,R300 ,R326 ,12125.78,0.71,94203,6 +1776,R100 ,R179 ,24149.73,1.41,104154,8 +1777,R100 ,R107 ,20862.76,1.22,106299,7 +1780,R300 ,R334 ,14634.57,0.85,105923,4 +1782,R100 ,R129 ,17875.93,1.04,94771,6 +1783,R100 ,R143 ,28589.57,1.67,96198,8 +1784,R300 ,R352 ,17720.69,1.03,99779,6 +1785,R300 ,R327 ,12582.66,0.73,106014,6 +1786,R300 ,R311 ,17185.12,1,106365,6 +1787,R300 ,R340 ,23508.66,1.37,95013,4 +1788,R100 ,R140 ,15308.04,0.89,94299,5 +1789,R100 ,R140 ,15136.51,0.88,94300,5 +1790,R300 ,R365 ,12762.2,0.74,95242,4 +1791,R100 ,R105 ,22070.27,1.29,94718,7 +1792,R100 ,R127 ,15316.64,0.89,93817,7 +1793,R300 ,R355 ,17968.3,1.05,79483,4 +1794,R300 ,R372 ,12133.4,0.71,83246,4 +1795,R300 ,R313 ,15159.33,0.88,94246,4 +1796,R400 ,R438 ,14209.43,0.83,81114,2 +1797,R300 ,R341 ,11456.25,0.67,94441,6 +1798,R400 ,R459 ,19742.26,1.15,83870,2 +1799,R100 ,R150 ,14874.78,0.87,81010,5 +1800,R100 ,R143 ,20985.04,1.22,84973,7 +1801,R100 ,R150 ,20024.08,1.17,94203,5 +1802,R400 ,R439 ,12412.8,0.72,81304,1 +1803,R400 ,R452 ,9338.3,0.54,60555,1 +1804,R100 ,R170 ,17151.46,1,85860,5 +1805,R200 ,R250 ,18451.28,1.08,84906,9 +1806,R100 ,R175 ,41996.76,2.45,100176,8 +1807,R300 ,R362 ,13394.1,0.78,79707,4 +1808,R400 ,R451 ,20509.07,1.2,77582,2 +1809,R400 ,R462 ,13882.08,0.81,84651,3 +1811,R300 ,R302 ,11217.03,0.65,79484,6 +1812,R300 ,R322 ,12568.03,0.73,79062,6 +1813,R100 ,R176 ,14444.1,0.84,80168,8 +1814,R100 ,R178 ,20852.4,1.22,79720,8 +1815,R200 ,R201 ,14787.12,0.86,79263,9 +1816,R200 ,R201 ,12240.58,0.71,79941,9 +1818,R400 ,R424 ,10957.5,0.64,79808,2 +1819,R200 ,R247 ,16986.94,0.99,84587,9 +1820,R300 ,R314 ,20989.38,1.22,94933,4 +1821,R100 ,R144 ,16587.3,0.97,80224,7 +1822,R400 ,R446 ,19931.96,1.16,82510,2 +1823,R400 ,R450 ,14976.72,0.87,79982,2 +1824,R300 ,R371 ,12920.74,0.75,80565,4 +1825,R300 ,R340 ,13347.57,0.78,79593,4 +1826,R300 ,R372 ,15716.27,0.92,94925,4 +1827,R400 ,R441 ,13591.57,0.79,84993,3 +1828,R400 ,R454 ,12540.36,0.73,79270,3 +1829,R300 ,R350 ,13630.58,0.8,80245,4 +1830,R400 ,R438 ,12367.52,0.72,80374,2 +1831,R100 ,R124 ,21141.71,1.23,95562,5 +1832,R100 ,R124 ,23621.85,1.38,96302,5 +1833,R100 ,R101 ,19920.1,1.16,95199,5 +1834,R200 ,R206 ,18203.97,1.06,79823,9 +1835,R400 ,R468 ,16198.49,0.94,79307,1 +1836,R300 ,R306 ,13824.79,0.81,94702,6 +1837,R300 ,R303 ,22022.48,1.28,94604,6 +1838,R300 ,R379 ,15196.1,0.89,84238,9 +1839,R400 ,R439 ,17488.48,1.02,77649,1 +1840,R100 ,R123 ,14105.68,0.82,94868,7 +1841,R100 ,R170 ,14982.58,0.87,80132,5 +1842,R100 ,R144 ,13679.32,0.8,80824,7 +1843,R200 ,R232 ,13696.45,0.8,80081,9 +1845,R400 ,R461 ,14200.1,0.83,79798,3 +1846,R200 ,R201 ,15056.43,0.88,79264,9 +1847,R200 ,R260 ,15996.21,0.93,79961,10 +1848,R100 ,R138 ,14031.96,0.82,79899,5 +1849,R400 ,R423 ,27990.17,1.63,83772,2 +1850,R300 ,R326 ,11244.58,0.66,79175,6 +1851,R200 ,R245 ,10151.56,0.59,79793,9 +1852,R300 ,R327 ,9960.07,0.58,68749,6 +1853,R300 ,R315 ,14860.54,0.87,94787,4 +1854,R400 ,R448 ,19617.32,1.14,84253,3 +1855,R400 ,R447 ,13971.34,0.81,79714,1 +1856,R400 ,R451 ,14806.54,0.86,77462,2 +1857,R400 ,R466 ,12368.36,0.72,79735,3 +1858,R400 ,R457 ,17193.94,1,84751,3 +1859,R300 ,R314 ,15253.33,0.89,79869,4 +1860,R300 ,R301 ,13214.67,0.77,72279,6 +1861,R300 ,R302 ,9311.67,0.54,79778,6 +1862,R200 ,R246 ,11821.07,0.69,79669,9 +1863,R300 ,R376 ,13649.29,0.8,85204,9 +1864,R400 ,R461 ,17747.76,1.04,85456,2 +1865,R400 ,R446 ,11907.42,0.69,77515,2 +1866,R400 ,R424 ,10758.13,0.63,79831,2 +1867,R200 ,R205 ,31419.28,1.83,79816,9 +1868,R200 ,R258 ,14414.18,0.84,79799,10 +1869,R200 ,R248 ,45817.24,2.67,80760,9 +1870,R300 ,R337 ,18913.16,1.1,79925,4 +1871,R400 ,R411 ,12212.86,0.71,85340,3 +1872,R300 ,R372 ,19657.74,1.15,94874,4 +1873,R400 ,R466 ,15246.9,0.89,94627,3 +1874,R400 ,R441 ,24903.13,1.45,94237,3 +1875,R400 ,R431 ,16289.11,0.95,79478,3 +1876,R300 ,R331 ,13350.36,0.78,80856,6 +1877,R300 ,R303 ,11647.39,0.68,80199,6 +1878,R100 ,R140 ,16216.42,0.95,80705,5 +1879,R100 ,R145 ,15869.97,0.93,79855,5 +1880,R100 ,R128 ,12781.86,0.75,67129,5 +1881,R100 ,R121 ,15113.88,0.88,80071,5 +1882,R100 ,R121 ,19062.39,1.11,79353,5 +1883,R200 ,R258 ,14822.47,0.86,80070,10 +1884,R200 ,R204 ,26238.15,1.53,78984,9 +1885,R400 ,R455 ,19118.93,1.12,82904,2 +1886,R400 ,R446 ,31838.76,1.86,86008,2 +1887,R400 ,R459 ,12041.74,0.7,81088,2 +1888,R100 ,R141 ,19317.01,1.13,82762,5 +1889,R100 ,R116 ,19939.43,1.16,82383,5 +1890,R400 ,R412 ,17656.4,1.03,80944,3 +1891,R100 ,R167 ,12439.11,0.73,79208,6 +1892,R300 ,R372 ,25971.98,1.51,82176,4 +1893,R400 ,R412 ,20082.28,1.17,87646,3 +1894,R300 ,R364 ,12266.28,0.72,79414,6 +1895,R100 ,R110 ,16457.66,0.96,80015,5 +1896,R100 ,R122 ,20302.75,1.18,96907,5 +1897,R400 ,R412 ,15691.74,0.92,79834,3 +1898,R400 ,R429 ,20319.46,1.19,88165,1 +1901,R100 ,R105 ,21258.65,1.24,96988,7 +1902,R100 ,R133 ,13075.84,0.76,80221,5 +1903,R100 ,R115 ,19720.66,1.15,96988,5 +1904,R300 ,R364 ,11880.47,0.69,79922,6 +1905,R300 ,R379 ,13713.69,0.8,79842,9 +1906,R200 ,R250 ,12129.36,0.71,79837,9 +1907,R300 ,R332 ,11750.72,0.69,79740,4 +1908,R300 ,R364 ,21818.37,1.27,96878,6 +1910,R300 ,R350 ,13878.69,0.81,79101,4 +1911,R100 ,R140 ,15783.9,0.92,79857,5 +1912,R100 ,R112 ,18813.41,1.1,96663,5 +1913,R100 ,R133 ,16319.96,0.95,79888,5 +1914,R100 ,R118 ,11945.36,0.7,79962,7 +1915,R400 ,R438 ,14269.23,0.83,80280,2 +1916,R400 ,R460 ,11931.3,0.7,89345,1 +1917,R400 ,R422 ,21152.09,1.23,85221,2 +1918,R300 ,R365 ,20249.03,1.18,97938,4 +1919,R100 ,R167 ,13211.57,0.77,79993,6 +1920,R300 ,R331 ,19359.99,1.13,79428,4 +1921,R300 ,R315 ,13109.37,0.76,97974,4 +1922,R300 ,R342 ,10731.77,0.63,79641,6 +1923,R300 ,R337 ,20608.75,1.2,79484,4 +1924,R100 ,R141 ,18602.58,1.09,81866,5 +1925,R100 ,R150 ,14823.37,0.86,79914,5 +1926,R200 ,R211 ,16035.38,0.94,87307,9 +1927,R200 ,R233 ,18089.89,1.06,87498,9 +1928,R100 ,R175 ,18484,1.08,96664,8 +1929,R400 ,R419 ,13479.94,0.79,84656,2 +1930,R400 ,R470 ,19137.52,1.12,84530,1 +1931,R400 ,R417 ,13417.49,0.78,79855,3 +1932,R300 ,R372 ,17498.3,1.02,96635,4 +1933,R100 ,R133 ,15007.42,0.88,79753,5 +1934,R300 ,R360 ,15013.3,0.88,96416,4 +1935,R300 ,R310 ,17898.13,1.04,96890,4 +1936,R200 ,R222 ,21679.63,1.26,78857,9 +1937,R300 ,R337 ,13952.96,0.81,79869,4 +1938,R400 ,R415 ,10906.67,0.64,79407,3 +1939,R100 ,R105 ,12791.38,0.75,79737,7 +1940,R100 ,R173 ,12149.04,0.71,80004,5 +1941,R300 ,R310 ,17674.22,1.03,79343,4 +1942,R400 ,R452 ,11022.64,0.64,79859,1 +1943,R100 ,R129 ,13999,0.82,79891,7 +1944,R100 ,R129 ,22245.22,1.3,96663,7 +1945,R100 ,R129 ,15443.5,0.9,96892,7 +1946,R100 ,R172 ,13466.53,0.79,79837,5 +1947,R200 ,R259 ,13569.47,0.79,80057,10 +1948,R400 ,R424 ,14464.63,0.84,84468,2 +1949,R400 ,R454 ,15832.45,0.92,80170,3 +1950,R100 ,R122 ,15450.59,0.9,103127,5 +1951,R100 ,R147 ,14901.96,0.87,79811,5 +1952,R100 ,R118 ,17005.88,0.99,82313,7 +1953,R300 ,R341 ,10380.56,0.61,79516,6 +1954,R400 ,R459 ,12301.22,0.72,72326,2 +1955,R400 ,R460 ,10912.26,0.64,79797,1 +1956,R400 ,R460 ,13294.29,0.78,81816,1 +1957,R200 ,R259 ,14672.85,0.86,80130,10 +1958,R200 ,R248 ,16870.99,0.98,79947,9 +1959,R300 ,R374 ,17293.8,1.01,94245,9 +1960,R300 ,R379 ,22912.25,1.34,94275,9 +1961,R200 ,R232 ,18783.31,1.1,79962,9 +1962,R300 ,R306 ,8816.03,0.51,79780,6 +1963,R300 ,R369 ,12178.13,0.71,79891,4 +1964,R300 ,R336 ,18641.11,1.09,81507,4 +1965,R400 ,R468 ,16174.39,0.94,79939,1 +1966,R300 ,R313 ,15802.73,0.92,103129,4 +1967,R300 ,R314 ,14475.79,0.84,79983,4 +1968,R400 ,R417 ,14314.36,0.83,80046,3 +1969,R100 ,R173 ,15678.41,0.91,80005,5 +1970,R400 ,R411 ,12912.32,0.75,80040,3 +1971,R100 ,R137 ,11438.97,0.67,80160,5 +1972,R100 ,R169 ,12317.64,0.72,79571,5 +1973,R300 ,R348 ,12927.16,0.75,79813,4 +1974,R300 ,R315 ,12648.88,0.74,79979,4 +1975,R300 ,R311 ,16395.99,0.96,79191,6 +1976,R100 ,R177 ,17236.3,1.01,103121,8 +1977,R100 ,R123 ,12964.93,0.76,80167,7 +1978,R100 ,R173 ,16261.24,0.95,79886,5 +1979,R300 ,R327 ,10674.13,0.62,79771,6 +1980,R200 ,R239 ,21183.4,1.24,85248,9 +1981,R300 ,R342 ,8779.61,0.51,79952,6 +1982,R300 ,R341 ,11215.11,0.65,79818,6 +1983,R300 ,R369 ,17104.06,1,79918,4 +1984,R200 ,R237 ,11877.35,0.69,79974,9 +2006,R400 ,R419 ,20153.3,1.18,84532,2 +2007,R400 ,R412 ,10893.06,0.64,80028,3 +2008,R300 ,R342 ,7908.83,0.46,79922,6 +2009,R400 ,R447 ,13109.58,0.76,79743,1 +2010,R100 ,R107 ,11830.41,0.69,82264,7 +2011,R300 ,R362 ,12315.06,0.72,79954,4 +2014,R100 ,R136 ,18046.87,1.05,84554,5 +2015,R100 ,R136 ,11773.91,0.69,79827,5 +2016,R100 ,R174 ,14287.05,0.83,79738,5 +2017,R400 ,R466 ,11668.63,0.68,79714,3 +2018,R200 ,R213 ,18777.98,1.1,84121,9 +2019,R200 ,R217 ,14515.48,0.85,84567,9 +2020,R200 ,R209 ,15833.8,0.92,80485,9 +2021,R100 ,R179 ,16619.28,0.97,96887,8 +2022,R300 ,R367 ,22285.2,1.3,96822,4 +2023,R100 ,R177 ,18884.33,1.1,96607,8 +2024,R400 ,R451 ,14800.4,0.86,80050,2 +2025,R100 ,R124 ,15418.57,0.9,84509,5 +2026,R200 ,R207 ,16593.37,0.97,84476,9 +2027,R300 ,R337 ,13010.79,0.76,80042,4 +2028,R100 ,R145 ,13746.54,0.8,79786,5 +2029,R100 ,R179 ,15920.81,0.93,80039,8 +2030,R200 ,R219 ,21262.98,1.24,82356,9 +2031,R300 ,R378 ,14390.38,0.84,79793,6 +2032,R300 ,R365 ,13460.31,0.79,79763,4 +2033,R100 ,R148 ,14546.27,0.85,79707,5 +2034,R300 ,R354 ,21253.59,1.24,96696,4 +2035,R100 ,R145 ,15469.15,0.9,96887,5 +2036,R300 ,R335 ,22126.21,1.29,96990,4 +2037,R300 ,R358 ,11518.8,0.67,79906,4 +2038,R400 ,R467 ,14318.05,0.84,79753,2 +2040,R300 ,R354 ,17063.27,1,79439,4 +2041,R100 ,R105 ,12355.08,0.72,83548,7 +2042,R300 ,R342 ,16031.24,0.94,96935,6 +2043,R100 ,R144 ,12732.6,0.74,79972,7 +2044,R100 ,R171 ,11796.18,0.69,80039,5 +2045,R400 ,R460 ,13842.5,0.81,78700,1 +2046,R100 ,R102 ,15801.65,0.92,97524,5 +2048,R100 ,R133 ,15655.3,0.91,80039,5 +2051,R200 ,R202 ,16135.06,0.94,82512,9 +2052,R100 ,R175 ,17685.1,1.03,96997,8 +2053,R300 ,R333 ,13709.08,0.8,80059,4 +2055,R300 ,R331 ,13899.73,0.81,79476,4 +2056,R300 ,R335 ,16237.46,0.95,96931,4 +2057,R300 ,R351 ,21884.11,1.28,81995,4 +2058,R300 ,R324 ,14026.92,0.82,79530,4 +2059,R300 ,R320 ,15837.23,0.92,96931,4 +2061,R300 ,R301 ,11518.39,0.67,79617,6 +2062,R300 ,R324 ,15010.69,0.88,79725,4 +2063,R300 ,R320 ,22742.94,1.33,97807,4 +2064,R300 ,R354 ,12526.87,0.73,79854,4 +2065,R300 ,R310 ,14059.85,0.82,96712,4 +2066,R300 ,R364 ,13446.13,0.78,79811,6 +2067,R300 ,R310 ,14790.46,0.86,95402,4 +2068,R100 ,R168 ,12474.44,0.73,79974,5 +2069,R300 ,R372 ,19794.26,1.15,96935,4 +2070,R100 ,R169 ,18237.02,1.06,82352,5 +2071,R400 ,R457 ,13884.61,0.81,79833,3 +2072,R400 ,R453 ,15049.46,0.88,80252,3 +2073,R400 ,R470 ,12944.49,0.75,79637,1 +2074,R300 ,R355 ,10997.2,0.64,79476,4 +2075,R400 ,R462 ,16673.55,0.97,85512,3 +2076,R400 ,R451 ,11758,0.69,79795,2 +2077,R400 ,R430 ,12219.16,0.71,79634,3 +2078,R100 ,R116 ,18619.49,1.09,84892,5 +2079,R100 ,R141 ,20343.1,1.19,85510,5 +2080,R300 ,R362 ,12605.45,0.74,101681,4 +2081,R100 ,R121 ,17503.82,1.02,96676,5 +2082,R200 ,R244 ,14148.16,0.83,79830,9 +2083,R300 ,R375 ,14948.88,0.87,84188,9 +2084,R300 ,R369 ,11805.45,0.69,82776,4 +2085,R300 ,R348 ,13948.75,0.81,79817,4 +2086,R100 ,R169 ,13041.89,0.76,79795,5 +2087,R100 ,R145 ,22546.95,1.32,81928,5 +2088,R200 ,R233 ,18525.42,1.08,84224,9 +2089,R300 ,R353 ,14135.17,0.82,96672,6 +2090,R300 ,R355 ,13911.55,0.81,79848,4 +2091,R300 ,R334 ,15409.45,0.9,97477,4 +2092,R300 ,R318 ,19802.69,1.15,103290,4 +2093,R300 ,R364 ,24946.24,1.45,81803,6 +2095,R100 ,R129 ,14597.45,0.85,76959,6 +2096,R200 ,R218 ,13918.17,0.81,79279,9 +2098,R100 ,R167 ,11273.99,0.66,80161,7 +2099,R400 ,R431 ,13274.74,0.77,80095,3 +2100,R400 ,R430 ,11881.95,0.69,80161,3 +2101,R100 ,R126 ,25991.63,1.52,92390,5 +2102,R400 ,R424 ,11910.75,0.69,79940,2 +2103,R100 ,R118 ,13708.19,0.8,82487,7 +2104,R400 ,R422 ,14904.77,0.87,80190,2 +2105,R100 ,R135 ,13635.68,0.8,82171,5 +2106,R100 ,R146 ,21886.76,1.28,102399,5 +2108,R300 ,R358 ,13209.06,0.77,80355,4 +2109,R300 ,R349 ,13425.73,0.78,81724,4 +2110,R200 ,R260 ,15506.9,0.9,80371,10 +2111,R300 ,R371 ,12067.51,0.7,80126,4 +2112,R300 ,R305 ,11248.22,0.66,80161,6 +2113,R100 ,R134 ,16154.26,0.94,82041,5 +2114,R400 ,R454 ,12706.22,0.74,79999,3 +2115,R200 ,R208 ,12969.02,0.76,84158,9 +2118,R300 ,R314 ,17591.29,1.03,101926,4 +2119,R100 ,R171 ,13437.88,0.78,77429,5 +2120,R400 ,R447 ,13448.13,0.78,80226,1 +2121,R300 ,R334 ,15421.05,0.9,84352,4 +2122,R100 ,R122 ,16351.93,0.95,79868,5 +2123,R100 ,R178 ,18344.56,1.07,79905,8 +2124,R400 ,R421 ,24831.76,1.45,86198,3 +2125,R100 ,R107 ,16321.94,0.95,79771,7 +2126,R300 ,R333 ,14207.28,0.83,80194,4 +2127,R400 ,R439 ,14587.04,0.85,79317,1 +2128,R200 ,R202 ,18280.45,1.07,81453,9 +2129,R300 ,R336 ,13316.84,0.78,77316,4 +2130,R400 ,R447 ,16133.54,0.94,80237,1 +2131,R400 ,R421 ,16672.83,0.97,80356,3 +2132,R300 ,R355 ,13031.92,0.76,96653,4 +2133,R400 ,R415 ,13025,0.76,82355,3 +2134,R300 ,R358 ,18768.16,1.09,80517,4 +2135,R100 ,R126 ,11790.14,0.69,82548,5 +2136,R200 ,R259 ,12598.14,0.73,81907,10 +2137,R300 ,R336 ,29282.46,1.71,85373,4 +2138,R400 ,R466 ,15357.32,0.9,96757,3 +2139,R300 ,R311 ,11320.49,0.66,83197,6 +2140,R300 ,R376 ,18635.02,1.09,101204,9 +2141,R400 ,R419 ,17782.43,1.04,82185,2 +2142,R300 ,R326 ,14030.84,0.82,95921,6 +2143,R200 ,R209 ,18214.6,1.06,88818,9 +2144,R300 ,R364 ,12214.72,0.71,82363,6 +2145,R300 ,R321 ,15779.07,0.92,95958,6 +2146,R300 ,R318 ,19087.89,1.11,100315,4 +2147,R200 ,R217 ,15700.89,0.92,82594,9 +2149,R300 ,R375 ,13284.48,0.77,82217,9 +2150,R100 ,R178 ,14546.06,0.85,82403,8 +2151,R200 ,R202 ,18247.93,1.06,84705,9 +2152,R300 ,R305 ,12708.48,0.74,82672,6 +2153,R300 ,R340 ,11820.02,0.69,82680,4 +2154,R300 ,R359 ,13939.34,0.81,81971,4 +2155,R300 ,R315 ,11028.44,0.64,82218,4 +2156,R400 ,R460 ,15043.97,0.88,80276,1 +2157,R100 ,R170 ,11986.52,0.7,82655,5 +2158,R400 ,R467 ,12458.49,0.73,82241,2 +2159,R100 ,R174 ,9543.22,0.56,83075,5 +2161,R100 ,R170 ,15143.77,0.88,82722,5 +2163,R200 ,R261 ,17502.73,1.02,82555,9 +2164,R300 ,R380 ,13939.14,0.81,82340,9 +2165,R200 ,R261 ,18428.88,1.07,84447,9 +2166,R400 ,R447 ,12957.95,0.76,82709,1 +2167,R400 ,R428 ,13447.78,0.78,82544,1 +2168,R300 ,R371 ,11369.85,0.66,82675,4 +2169,R300 ,R362 ,20325.35,1.19,95961,4 +2170,R400 ,R422 ,12172.56,0.71,82272,2 +2171,R300 ,R335 ,15182.74,0.89,82583,4 +2172,R400 ,R453 ,14327.61,0.84,83077,3 +2173,R400 ,R470 ,12794.02,0.75,82181,1 +2174,R300 ,R346 ,12391.72,0.72,82601,4 +2175,R400 ,R466 ,10997.7,0.64,82857,3 +2176,R300 ,R379 ,25009.47,1.46,83900,9 +2177,R100 ,R115 ,13191.28,0.77,82115,5 +2178,R100 ,R135 ,21199.34,1.24,80171,5 +2179,R200 ,R217 ,11191.94,0.65,82666,9 +2180,R100 ,R114 ,19791.33,1.15,98251,5 +2181,R400 ,R422 ,12618.57,0.74,84927,2 +2182,R400 ,R447 ,12903.72,0.75,82275,1 +2183,R100 ,R175 ,14774.68,0.86,95872,8 +2184,R400 ,R454 ,14525.17,0.85,82530,3 +2185,R200 ,R211 ,14338.59,0.84,84052,9 +2186,R400 ,R431 ,13942.39,0.81,82838,3 +2187,R300 ,R327 ,10701.3,0.62,81841,6 +2188,R300 ,R349 ,21189.37,1.24,82204,4 +2189,R100 ,R101 ,24105.11,1.41,98135,5 +2190,R300 ,R352 ,12424.24,0.72,81751,6 +2191,R400 ,R416 ,9003.96,0.53,81839,2 +2192,R200 ,R264 ,13160.13,0.77,82140,10 +2193,R100 ,R131 ,21700.84,1.27,104591,5 +2194,R100 ,R143 ,21255.94,1.24,83071,8 +2195,R200 ,R232 ,81115.94,4.73,81631,9 +2196,R300 ,R367 ,11416.52,0.67,83971,4 +2197,R100 ,R175 ,20485.02,1.19,95794,8 +2199,R100 ,R110 ,15465.15,0.9,82252,5 +2200,R100 ,R126 ,17905.31,1.04,98368,5 +2201,R400 ,R430 ,15054.4,0.88,82198,3 +2202,R400 ,R431 ,19492.92,1.14,84493,3 +2203,R300 ,R370 ,12279.02,0.72,82433,3 +2204,R100 ,R167 ,13945.06,0.81,82000,6 +2205,R300 ,R311 ,11948.89,0.7,82517,6 +2206,R100 ,R161 ,17124.9,1,82683,10 +2207,R100 ,R135 ,13115.65,0.76,82368,5 +2208,R300 ,R348 ,15921.09,0.93,82277,4 +2210,R300 ,R310 ,20953.26,1.22,98033,4 +2211,R400 ,R416 ,11981.49,0.7,82314,2 +2212,R400 ,R423 ,24660.11,1.44,91947,2 +2213,R400 ,R439 ,12549.89,0.73,82258,1 +2214,R200 ,R208 ,14361.37,0.84,83147,9 +2216,R300 ,R374 ,19632.56,1.15,95591,6 +2217,R100 ,R133 ,15569.67,0.91,82555,5 +2218,R100 ,R176 ,19129.39,1.12,95853,8 +2219,R100 ,R177 ,20773.99,1.21,95921,8 +2220,R300 ,R301 ,19264.01,1.12,95883,6 +2221,R100 ,R177 ,19171.12,1.12,98530,8 +2222,R100 ,R123 ,15223.32,0.89,82572,7 +2223,R100 ,R131 ,12062.63,0.7,82769,5 +2224,R300 ,R305 ,12026.39,0.7,82008,6 +2225,R100 ,R179 ,15380.23,0.9,82815,8 +2226,R100 ,R174 ,13300.03,0.78,79568,5 +2227,R300 ,R375 ,18671.34,1.09,97381,9 +2228,R100 ,R174 ,12586.78,0.73,79749,5 +2229,R100 ,R102 ,28290.13,1.65,104399,5 +2230,R100 ,R137 ,20244.76,1.18,82346,5 +2231,R400 ,R454 ,12315.13,0.72,82023,3 +2232,R200 ,R201 ,16960.15,0.99,84026,9 +2233,R300 ,R315 ,14477.09,0.84,97840,4 +2234,R300 ,R302 ,10622.44,0.62,102469,6 +2235,R300 ,R354 ,19945.87,1.16,102327,4 +2236,R300 ,R377 ,17565.23,1.02,98398,9 +2237,R300 ,R305 ,14789.51,0.86,81809,6 +2238,R200 ,R237 ,17540.29,1.02,81739,9 +2239,R300 ,R327 ,16317.28,0.95,102368,6 +2240,R300 ,R369 ,12964.15,0.76,82422,4 +2241,R400 ,R431 ,14083.83,0.82,82689,3 +2243,R300 ,R306 ,13982.8,0.82,98028,6 +2244,R300 ,R355 ,15384.29,0.9,84647,4 +2245,R200 ,R206 ,18086.36,1.05,82114,9 +2246,R400 ,R461 ,13631.19,0.8,82987,3 +2247,R400 ,R451 ,14377,0.84,81651,2 +2248,R300 ,R360 ,12583.95,0.73,82718,4 +2249,R400 ,R460 ,13104.62,0.76,82302,1 +2250,R400 ,R457 ,12185.7,0.71,82698,3 +2251,R100 ,R150 ,15613.2,0.91,82608,5 +2252,R200 ,R245 ,12439.23,0.73,82391,9 +2253,R400 ,R467 ,13349.91,0.78,82792,2 +2254,R100 ,R134 ,13982.43,0.82,79882,5 +2255,R100 ,R118 ,12695.01,0.74,82319,7 +2256,R400 ,R450 ,11696.3,0.68,81964,2 +2258,R400 ,R429 ,13082.13,0.76,85561,1 +2259,R400 ,R412 ,23898.41,1.39,87461,3 +2260,R200 ,R248 ,16211.26,0.95,98284,9 +2261,R100 ,R179 ,21320.48,1.24,96619,8 +2262,R400 ,R430 ,11808.71,0.69,82719,3 +2264,R300 ,R324 ,27120.06,1.58,102684,4 +2265,R300 ,R318 ,11890.78,0.69,82459,4 +2266,R100 ,R174 ,18072.21,1.05,82387,5 +2267,R400 ,R470 ,13125.4,0.77,82677,1 +2268,R200 ,R246 ,12944.3,0.75,82302,9 +2269,R300 ,R360 ,12743.29,0.74,82054,4 +2270,R200 ,R220 ,17684.44,1.03,82589,9 +2271,R400 ,R415 ,20206.73,1.18,84460,3 +2272,R400 ,R441 ,15535.61,0.91,82290,3 +2273,R300 ,R353 ,12140.39,0.71,82402,6 +2274,R300 ,R340 ,12462.88,0.73,82754,4 +2275,R200 ,R207 ,15040.35,0.88,82932,9 +2276,R300 ,R340 ,13076.17,0.76,82715,4 +2277,R300 ,R337 ,15381.21,0.9,79507,4 +2278,R300 ,R306 ,8577.29,0.5,82776,6 +2279,R300 ,R359 ,11524.71,0.67,82048,4 +2280,R200 ,R239 ,18666.58,1.09,82375,9 +2281,R200 ,R233 ,16828.93,0.98,82439,9 +2283,R300 ,R302 ,10424.27,0.61,81779,6 +2284,R100 ,R167 ,9327.15,0.54,82310,6 +2287,R400 ,R452 ,14367.85,0.84,82476,1 +2288,R300 ,R322 ,11427.84,0.67,98196,6 +2289,R300 ,R314 ,13654.12,0.8,102718,4 +2290,R200 ,R265 ,17523.14,1.02,82140,10 +2292,R400 ,R428 ,13748.51,0.8,82304,1 +2294,R400 ,R457 ,13577.8,0.79,82848,3 +2295,R400 ,R467 ,11937.38,0.7,82713,2 +2296,R300 ,R370 ,11253.68,0.66,82845,3 +2297,R400 ,R457 ,13328.51,0.78,82301,3 +2300,R100 ,R163 ,23676.61,1.38,102560,5 +2301,R300 ,R315 ,12067.75,0.7,79580,4 +2302,R400 ,R431 ,12003.96,0.7,82325,3 +2303,R100 ,R107 ,21916.35,1.28,102791,7 +2304,R200 ,R202 ,16984.39,0.99,92431,9 +2305,R400 ,R460 ,13259.1,0.77,83617,1 +2306,R200 ,R245 ,12004.62,0.7,81802,9 +2307,R200 ,R236 ,21543.6,1.26,87697,9 +2308,R300 ,R351 ,11655,0.68,82714,3 +2309,R200 ,R232 ,14751.69,0.86,102578,9 +2310,R400 ,R415 ,16000.5,0.93,81887,3 +2312,R400 ,R453 ,23583.75,1.38,92086,3 +2313,R100 ,R163 ,31423.53,1.83,104449,5 +2314,R200 ,R265 ,15517.41,0.91,82921,10 +2315,R400 ,R447 ,21727.61,1.27,82276,1 +2316,R300 ,R320 ,15477.38,0.9,97942,4 +2317,R300 ,R320 ,19986.85,1.17,103536,4 +2319,R200 ,R207 ,19689.77,1.15,82769,9 +2320,R300 ,R303 ,15413.78,0.9,103649,6 +2321,R100 ,R111 ,16703.16,0.97,103492,5 +2322,R100 ,R170 ,18035.07,1.05,82761,5 +2323,R400 ,R466 ,13828.03,0.81,104043,3 +2324,R400 ,R467 ,16118.75,0.94,82227,2 +2325,R400 ,R452 ,11186.67,0.65,82428,1 +2326,R100 ,R107 ,18733.23,1.09,103451,7 +2327,R100 ,R136 ,13390.27,0.78,82875,5 +2328,R200 ,R207 ,16998.92,0.99,83584,9 +2329,R200 ,R219 ,20467.54,1.19,84992,9 +2330,R100 ,R117 ,13410.92,0.78,82072,5 +2331,R300 ,R350 ,17189.98,1,82050,4 +2332,R300 ,R351 ,12842.81,0.75,82366,4 +2333,R300 ,R335 ,15113.19,0.88,79522,4 +2334,R300 ,R306 ,9482,0.55,82479,6 +2335,R300 ,R302 ,14171.57,0.83,101330,6 +2337,R400 ,R417 ,11256.92,0.66,82257,3 +2338,R300 ,R326 ,19559.39,1.14,101316,6 +2339,R200 ,R262 ,30081,1.75,88269,10 +2340,R100 ,R163 ,18175.89,1.06,103620,5 +2341,R300 ,R375 ,13774.94,0.8,82599,9 +2342,R300 ,R341 ,14026.97,0.82,102964,6 +2343,R100 ,R179 ,13508.68,0.79,82251,8 +2345,R100 ,R118 ,14386.95,0.84,82330,7 +2346,R100 ,R171 ,14719.41,0.86,82289,5 +2347,R200 ,R218 ,11198.63,0.65,82277,9 +2348,R100 ,R150 ,13182.36,0.77,82360,5 +2349,R200 ,R250 ,17487.19,1.02,103132,9 +2350,R200 ,R219 ,17382.19,1.01,97725,9 +2351,R100 ,R174 ,13315.86,0.78,79494,5 +2354,R300 ,R375 ,15840.96,0.92,103776,9 +2355,R300 ,R340 ,10969.41,0.64,82363,4 +2356,R300 ,R304 ,13665.86,0.8,82201,6 +2357,R100 ,R129 ,21272.94,1.24,82116,6 +2358,R100 ,R173 ,12503.48,0.73,82246,5 +2359,R200 ,R213 ,13391.61,0.78,82322,9 +2360,R300 ,R333 ,18988.72,1.11,103204,4 +2361,R400 ,R460 ,17916.09,1.04,92397,1 +2362,R300 ,R369 ,13196.91,0.77,103637,4 +2363,R300 ,R320 ,15580.11,0.91,103715,4 +2364,R300 ,R313 ,16405.13,0.96,111024,4 +2365,R300 ,R374 ,18410.06,1.07,103609,9 +2366,R300 ,R314 ,13287.57,0.78,82209,4 +2367,R300 ,R333 ,13534.64,0.79,82289,4 +2368,R300 ,R380 ,11108.29,0.65,82270,9 +2369,R300 ,R320 ,11140.3,0.65,82334,4 +2370,R300 ,R365 ,20821.61,1.21,100164,4 +2371,R200 ,R262 ,29785.77,1.74,88020,10 +2372,R200 ,R262 ,36310.74,2.12,87847,10 +2373,R100 ,R141 ,23314.18,1.36,88792,5 +2374,R300 ,R306 ,11208.65,0.65,82292,6 +2375,R300 ,R340 ,11086.8,0.65,82382,4 +2376,R300 ,R365 ,13742.95,0.8,101479,4 +2377,R300 ,R353 ,11964.7,0.7,82341,6 +2378,R100 ,R115 ,18158.26,1.06,102945,5 +2379,R400 ,R457 ,13095.58,0.76,82376,3 +2380,R400 ,R469 ,15786.46,0.92,83341,2 +2381,R400 ,R446 ,20390.42,1.19,82841,2 +2382,R400 ,R416 ,10784.53,0.63,82487,2 +2383,R100 ,R107 ,19469.75,1.14,103679,7 +2384,R400 ,R422 ,17722.2,1.03,82585,2 +2385,R400 ,R430 ,14009.86,0.82,81934,3 +2386,R200 ,R218 ,12348.87,0.72,101445,9 +2387,R300 ,R335 ,12542.55,0.73,82295,4 +2388,R100 ,R150 ,15505.85,0.9,82046,5 +2389,R300 ,R304 ,20579.06,1.2,103125,6 +2390,R100 ,R163 ,23943.77,1.4,105381,5 +2391,R100 ,R138 ,13943.97,0.81,82922,5 +2392,R400 ,R450 ,15908.74,0.93,82089,2 +2394,R400 ,R415 ,13287.04,0.77,82259,3 +2395,R300 ,R355 ,14161.52,0.83,82534,4 +2396,R300 ,R370 ,11884.73,0.69,82555,3 +2397,R200 ,R244 ,15628.89,0.91,83338,9 +2398,R200 ,R240 ,17118.96,1,88129,9 +2399,R400 ,R461 ,14808.26,0.86,82540,3 +2400,R300 ,R375 ,15323.16,0.89,102712,9 +2403,R100 ,R176 ,25435.33,1.48,102986,8 +2404,R300 ,R380 ,15046.5,0.88,79480,9 +2406,R100 ,R102 ,23477.23,1.37,97351,5 +2407,R300 ,R358 ,10225.27,0.6,82339,3 +2408,R200 ,R208 ,14322.74,0.84,82396,9 +2409,R300 ,R341 ,14274.87,0.83,82387,6 +2410,R200 ,R257 ,61584.24,3.59,89082,9 +2411,R200 ,R257 ,50207.23,2.93,86764,9 +2412,R200 ,R257 ,48383.53,2.82,86717,9 +2414,R100 ,R117 ,13409.28,0.78,82272,5 +2415,R100 ,R148 ,13091.96,0.76,79563,5 +2418,R400 ,R462 ,16515.58,0.96,82365,3 +2419,R300 ,R311 ,16511.15,0.96,103695,6 +2420,R200 ,R250 ,13985.84,0.82,82255,9 +2421,R200 ,R244 ,15128.36,0.88,82941,9 +2422,R100 ,R129 ,13669.47,0.8,82291,6 +2423,R100 ,R123 ,19437.21,1.13,82301,7 +2424,R200 ,R207 ,17662.86,1.03,82183,9 +2425,R300 ,R342 ,8287.99,0.48,82124,6 +2426,R300 ,R327 ,14875.68,0.87,103658,6 +2427,R300 ,R310 ,20554.44,1.2,87393,4 +2428,R300 ,R304 ,14166.64,0.83,82240,6 +2429,R300 ,R322 ,11837.59,0.69,82343,6 +2430,R400 ,R428 ,14300.46,0.83,85134,1 +2431,R300 ,R334 ,13900.18,0.81,102189,4 +2432,R400 ,R439 ,12124.78,0.71,82311,1 +2433,R400 ,R439 ,10645.27,0.62,82236,1 +2434,R400 ,R460 ,16641.42,0.97,81961,1 +2436,R400 ,R417 ,12524.26,0.73,82324,3 +2437,R400 ,R431 ,13571.89,0.79,82214,3 +2438,R300 ,R322 ,10645.93,0.62,82382,6 +2439,R400 ,R431 ,13430.15,0.78,82287,3 +2440,R100 ,R133 ,14561.68,0.85,82278,5 +2442,R300 ,R332 ,14268.32,0.83,82355,4 +2445,R300 ,R359 ,12342.84,0.72,82306,4 +2446,R400 ,R461 ,13878.56,0.81,82109,2 +2448,R100 ,R129 ,11575.58,0.68,79562,7 +2449,R100 ,R101 ,16443.63,0.96,85996,5 +2450,R100 ,R169 ,13559.36,0.79,85639,5 +2451,R400 ,R469 ,27828.52,1.62,87111,2 +2454,R100 ,R107 ,18016.56,1.05,82387,7 +2455,R200 ,R208 ,15834.51,0.92,82590,9 +2456,R100 ,R124 ,21347.96,1.25,107394,5 +2457,R100 ,R176 ,21077.64,1.23,82430,8 +2458,R100 ,R177 ,13321.8,0.78,82233,8 +2459,R400 ,R438 ,12407.12,0.72,82135,2 +2460,R300 ,R301 ,11315.18,0.66,81996,6 +2461,R400 ,R438 ,13038.79,0.76,82284,2 +2462,R200 ,R240 ,16201.64,0.94,85529,9 +2463,R200 ,R246 ,17660.66,1.03,86038,9 +2465,R200 ,R231 ,36242.28,2.11,84466,9 +2467,R300 ,R327 ,10961.99,0.64,81855,6 +2468,R200 ,R248 ,21042.87,1.23,103779,9 +2469,R200 ,R250 ,13626.16,0.79,84451,9 +2470,R200 ,R207 ,17761.54,1.04,82584,9 +2471,R200 ,R205 ,17599.8,1.03,103431,9 +2472,R200 ,R220 ,16118.77,0.94,81977,9 +2473,R100 ,R168 ,20818.76,1.21,85348,4 +2474,R300 ,R332 ,16935.71,0.99,85941,4 +2475,R400 ,R459 ,25298.57,1.48,87391,2 +2476,R300 ,R334 ,27801.12,1.62,108688,4 +2478,R400 ,R417 ,13047.21,0.76,85748,3 +2480,R400 ,R470 ,13099.1,0.76,86377,1 +2482,R200 ,R244 ,17448.65,1.02,86586,9 +2483,R100 ,R172 ,14827.66,0.86,85442,4 +2485,R300 ,R359 ,12974.87,0.76,82918,4 +2486,R100 ,R172 ,13628.4,0.79,85822,5 +2488,R100 ,R172 ,16422.61,0.96,86006,5 +2489,R300 ,R314 ,12425.12,0.72,85675,4 +2490,R100 ,R121 ,19147.89,1.12,106766,5 +2491,R100 ,R146 ,16506.59,0.96,85927,5 +2492,R200 ,R246 ,16992.46,0.99,83759,9 +2493,R300 ,R346 ,11287.76,0.66,85804,4 +2494,R300 ,R303 ,12446.28,0.73,85769,6 +2495,R300 ,R341 ,15332.87,0.89,107348,6 +2496,R400 ,R453 ,13449.38,0.78,82821,3 +2497,R300 ,R373 ,12544.15,0.73,85952,9 +2498,R100 ,R167 ,15550.81,0.91,85803,6 +2499,R200 ,R205 ,15762.52,0.92,107308,9 +2501,R300 ,R370 ,14101.51,0.82,85787,3 +2503,R300 ,R340 ,17639.27,1.03,103610,4 +2516,R300 ,R302 ,14469.06,0.84,107351,6 +2519,R100 ,R102 ,12477.91,0.73,86712,5 +2520,R300 ,R326 ,10930.01,0.64,107443,6 +2523,R200 ,R258 ,21739.93,1.27,85996,10 +2524,R200 ,R250 ,18610.44,1.09,85127,9 +2525,R100 ,R123 ,13790.05,0.8,85698,7 +2526,R100 ,R127 ,12976.58,0.76,82494,7 +2527,R400 ,R421 ,13644.45,0.8,85782,3 +2528,R400 ,R416 ,11215.47,0.65,82825,2 +2529,R400 ,R431 ,14783.81,0.86,85807,3 +2530,R400 ,R447 ,12060.87,0.7,81769,1 +2531,R300 ,R331 ,14006.88,0.82,82502,6 +2532,R400 ,R428 ,18832.66,1.1,85689,1 +2533,R300 ,R304 ,13237.56,0.77,82865,6 +2534,R300 ,R331 ,12611.23,0.74,85262,6 +2536,R400 ,R461 ,16009.96,0.93,85859,3 +2537,R400 ,R421 ,14867.53,0.87,85862,3 +2538,R400 ,R457 ,13153.08,0.77,82572,3 +2540,R100 ,R143 ,17659.94,1.03,86399,8 +2542,R100 ,R129 ,20273.52,1.18,103504,6 +2544,R100 ,R135 ,14674.67,0.86,85980,5 +2545,R400 ,R453 ,17078.18,1,85916,3 +2546,R100 ,R110 ,14497.89,0.85,85943,5 +2547,R300 ,R360 ,11536.51,0.67,85792,4 +2548,R400 ,R421 ,14093.4,0.82,75582,3 +2550,R300 ,R302 ,10857.29,0.63,103940,6 +2557,R100 ,R172 ,14412.47,0.84,86062,5 +2559,R100 ,R122 ,15308.18,0.89,82554,5 +2565,R300 ,R362 ,6955.21,0.41,86031,4 +2567,R400 ,R431 ,14185.38,0.83,86057,3 +2568,R300 ,R380 ,20486.14,1.19,86392,9 +2569,R300 ,R373 ,13379.83,0.78,85898,9 +2570,R400 ,R468 ,14667.2,0.86,86060,1 +2572,R300 ,R302 ,20958.4,1.22,101369,6 +2581,R200 ,R233 ,15178.5,0.89,85236,9 +2584,R200 ,R233 ,20568.84,1.2,87380,9 +2586,R100 ,R110 ,19215.74,1.12,86289,5 +2596,R400 ,R421 ,14129.75,0.82,86612,3 +2601,R200 ,R212 ,18532.38,1.08,85641,9 +2604,R200 ,R208 ,14991.21,0.87,86813,9 +2605,R200 ,R233 ,20680.12,1.21,87313,9 +2607,R400 ,R428 ,10917.01,0.64,86008,1 +2608,R400 ,R461 ,14096.88,0.82,78437,3 +2609,R100 ,R178 ,15797.52,0.92,86118,8 +2613,R100 ,R116 ,26971.71,1.57,83519,5 +2615,R200 ,R237 ,19736.55,1.15,83372,9 +2627,R200 ,R263 ,16619.9,0.97,85914,9 +2631,R400 ,R415 ,15121.29,0.88,83229,3 +2632,R200 ,R239 ,20718.86,1.21,86716,9 +2641,R100 ,R178 ,22049.41,1.29,85386,8 +2649,R400 ,R429 ,17883.65,1.04,86430,1 +2660,R200 ,R257 ,50337.47,2.94,85572,9 +2682,R200 ,R257 ,60787.18,3.55,86688,9 +2693,R400 ,R429 ,22348.01,1.3,78343,1 +2697,R200 ,R257 ,49197.17,2.87,86717,9 +2715,R200 ,R250 ,18163.03,1.06,85629,9 +2716,R100 ,R179 ,26029.89,1.52,103599,8 +2717,R100 ,R179 ,16868.81,0.98,84045,8 +2721,R300 ,R372 ,15351.64,0.9,86076,4 +2725,R300 ,R322 ,6638.75,0.39,82643,6 +2727,R300 ,R301 ,12836.29,0.75,86223,6 +2728,R100 ,R168 ,14313.97,0.83,82660,4 +2729,R400 ,R470 ,14787.04,0.86,85163,1 +2730,R200 ,R261 ,19808.13,1.16,85619,9 +2737,R100 ,R167 ,14397.33,0.84,85650,6 +2739,R300 ,R301 ,10245.67,0.6,85796,6 +2742,R300 ,R350 ,17037.35,0.99,86116,4 +2744,R200 ,R213 ,16037.01,0.94,86827,9 +2747,R300 ,R379 ,15020.35,0.88,87031,9 +2753,R400 ,R419 ,20767.47,1.21,82700,2 +2754,R300 ,R342 ,11179.4,0.65,79305,6 +2757,R400 ,R454 ,23500.78,1.37,87536,3 +2759,R200 ,R240 ,21761.92,1.27,86306,9 +2760,R200 ,R240 ,19140.67,1.12,86140,9 +2764,R400 ,R453 ,20121.51,1.17,85110,3 +2765,R100 ,R146 ,21144.9,1.23,86977,5 +2766,R200 ,R210 ,10885.51,0.63,50670,9 +2767,R200 ,R211 ,29795.47,1.74,81382,9 +2768,R200 ,R212 ,12421.06,0.72,54031,9 +2770,R300 ,R370 ,17177.56,1,86658,3 +2771,R200 ,R237 ,15844.28,0.92,85407,9 +2772,R200 ,R212 ,16456.86,0.96,81415,9 +2774,R200 ,R204 ,13732.93,0.8,45825,9 +2775,R200 ,R204 ,12790.63,0.75,58067,9 +2776,R200 ,R204 ,11541.7,0.67,57332,9 +2779,R200 ,R260 ,18343.08,1.07,86115,10 +2780,R100 ,R110 ,19400.44,1.13,86169,5 +2781,R100 ,R116 ,19231.18,1.12,89292,5 +2784,R300 ,R372 ,9476.47,0.55,86519,4 +2785,R300 ,R371 ,17529.66,1.02,86089,4 +2786,R200 ,R265 ,7278.99,0.42,47568,10 +2787,R400 ,R454 ,18302.68,1.07,87777,3 +2790,R400 ,R441 ,27809.78,1.62,86814,3 +2791,R200 ,R258 ,6161.97,0.36,40431,10 +2795,R200 ,R245 ,9597.21,0.56,53312,9 +2796,R300 ,R340 ,16983.81,0.99,87476,4 +2799,R100 ,R116 ,17566.06,1.02,57790,5 +2802,R200 ,R231 ,14610.41,0.85,78679,9 +2803,R300 ,R327 ,10634.74,0.62,86126,6 +2804,R200 ,R212 ,23877.14,1.39,86680,9 +2805,R400 ,R438 ,13600.31,0.79,86209,2 +2810,R200 ,R209 ,22919.47,1.34,87264,9 +2811,R400 ,R459 ,16398.04,0.96,88436,2 +2813,R300 ,R378 ,18224.95,1.06,87120,6 +2815,R300 ,R351 ,11193.33,0.65,86144,4 +2816,R300 ,R369 ,12425.87,0.72,83199,4 +2818,R100 ,R136 ,16262.92,0.95,86314,5 +2820,R100 ,R175 ,16508.87,0.96,85821,8 +2822,R400 ,R429 ,19541.01,1.14,77450,1 +2824,R100 ,R147 ,15836.67,0.92,85871,5 +2829,R200 ,R211 ,16595.32,0.97,83206,9 +2830,R200 ,R233 ,16857.37,0.98,86011,9 +2831,R200 ,R206 ,13699.62,0.8,82986,9 +2840,R400 ,R455 ,20786.26,1.21,84895,2 +2843,R300 ,R349 ,17118.33,1,85989,4 +2844,R400 ,R455 ,15425.05,0.9,83289,2 +2845,R400 ,R411 ,17259.75,1.01,83326,3 +2847,R400 ,R424 ,19538.61,1.14,86329,2 +2848,R300 ,R349 ,13042.3,0.76,87087,4 +2850,R400 ,R423 ,14194.74,0.83,49455,2 +2851,R100 ,R173 ,14938.5,0.87,85416,5 +2853,R400 ,R450 ,13751.56,0.8,86202,2 +2855,R200 ,R231 ,23567.67,1.37,87616,9 +2857,R100 ,R161 ,18571.01,1.08,85375,10 +2860,R100 ,R112 ,14876.32,0.87,79532,5 +2865,R300 ,R304 ,11109.83,0.65,82010,6 +2867,R400 ,R453 ,12625.36,0.74,80000,3 +2868,R300 ,R311 ,8076.43,0.47,81752,6 +2870,R200 ,R257 ,31340,1.83,0,9 +2871,R200 ,R261 ,11190.52,0.65,50000,9 +3200,R100 ,R126 ,2018.34,0.12,12067,5 +3201,R200 ,R210 ,1221.53,0.07,8137,9 +3202,R200 ,R211 ,787.98,0.05,4762,9 +3203,R200 ,R212 ,1577.67,0.09,9712,9 +3204,R100 ,R163 ,1204.56,0.07,7819,5 +3205,R200 ,R201 ,1622.35,0.09,9555,9 +3206,R400 ,R462 ,2106.23,0.12,11683,3 +3207,R100 ,R116 ,1450.92,0.08,12189,5 +3208,R100 ,R116 ,1691.28,0.1,129000,5 +3210,R400 ,R412 ,2075.48,0.12,11362,3 +3211,R400 ,R412 ,1689.44,0.1,7450,3 +3212,R400 ,R462 ,1521.78,0.09,10594,3 +3214,R100 ,R116 ,1771.57,0.1,12560,5 +3216,R200 ,R204 ,1279.47,0.07,11017,9 +3217,R200 ,R204 ,2606.84,0.15,13776,9 +3218,R200 ,R219 ,2980.91,0.17,18948,9 +3219,R100 ,R145 ,1809.48,0.11,11937,5 +3221,R100 ,R116 ,1781.38,0.1,15806,5 +3222,R400 ,R429 ,1653.52,0.1,10403,1 +3223,R400 ,R429 ,1383.63,0.08,9955,1 +3224,R200 ,R233 ,2200.74,0.13,13280,9 +3225,R200 ,R207 ,2690.44,0.16,21625,9 +3226,R400 ,R429 ,1262.9,0.07,8196,1 +3227,R400 ,R462 ,2603.03,0.15,18900,3 +3229,R400 ,R423 ,2800.6,0.16,24167,2 +3230,R400 ,R469 ,1471.29,0.09,10521,2 +3233,R200 ,R202 ,1766.29,0.1,9700,9 +3234,R400 ,R430 ,2123.94,0.12,13923,3 +3235,R400 ,R451 ,4530.29,0.26,29059,2 +3236,R400 ,R455 ,3341.1,0.19,29809,2 +3237,R400 ,R469 ,1859.54,0.11,15806,2 +3238,R300 ,R324 ,1680.59,0.1,11545,4 +3239,R100 ,R101 ,1831.61,0.11,11100,5 +3240,R200 ,R212 ,2975.19,0.17,31988,9 +3241,R300 ,R372 ,1797.86,0.1,7500,4 +3242,R400 ,R448 ,3059.54,0.18,18745,3 +3243,R400 ,R423 ,2207.15,0.13,21600,2 +3244,R100 ,R169 ,2485.25,0.14,16500,5 +3247,R400 ,R421 ,5296.14,0.31,32664,3 +3249,R400 ,R423 ,1605.65,0.09,14249,2 +3250,R300 ,R322 ,903.51,0.05,11000,6 +3251,R200 ,R236 ,2025.36,0.12,14200,9 +3252,R100 ,R141 ,1802.91,0.11,20300,5 +3253,R400 ,R452 ,3975.59,0.23,31000,1 +3254,R100 ,R172 ,1945.21,0.11,9128,5 +3255,R300 ,R372 ,1356.87,0.08,11300,4 +3258,R200 ,R222 ,4202.41,0.25,25046,9 +3259,R400 ,R455 ,4858.49,0.28,31369,2 +3261,R300 ,R375 ,4091.49,0.24,31050,9 +3262,R200 ,R236 ,3376.77,0.2,20225,9 +3263,R400 ,R462 ,2252.46,0.13,20262,3 +3264,R200 ,R210 ,2131.68,0.12,17000,9 +3265,R200 ,R210 ,3463.55,0.2,29965,9 +3267,R200 ,R211 ,1207.94,0.07,13000,9 +3270,R100 ,R141 ,1616.55,0.09,12400,5 +3273,R300 ,R348 ,2686.86,0.16,19200,4 +3274,R200 ,R244 ,3067.18,0.18,25700,9 +3276,R400 ,R423 ,1044.2,0.06,12400,2 +3277,R400 ,R423 ,2645.38,0.15,22496,2 +3279,R100 ,R175 ,1627.21,0.09,12100,8 +3281,R200 ,R258 ,1604.14,0.09,17230,10 +3283,R100 ,R141 ,1513.74,0.09,16700,5 +3284,R400 ,R423 ,1161.45,0.07,11300,2 +3285,R400 ,R462 ,2880.72,0.17,36700,3 +3287,R400 ,R452 ,1718.72,0.1,19800,1 +3290,R400 ,R446 ,4845.36,0.28,43415,2 +3292,R300 ,R352 ,1573.85,0.09,32600,6 +3293,R200 ,R236 ,3814.79,0.22,31536,9 +3295,R400 ,R412 ,1857.09,0.11,0,3 +3296,R400 ,R422 ,4049.03,0.24,33425,2 +3304,R400 ,R429 ,1836.82,0.11,29738,1 +3305,R400 ,R470 ,3247.8,0.19,14200,1 +3306,R400 ,R447 ,3985.04,0.23,31800,1 +3307,R100 ,R116 ,1214.94,0.07,6300,5 +3310,R400 ,R421 ,3038.08,0.18,39623,3 +3315,R200 ,R261 ,2407.47,0.14,16400,9 +3316,R100 ,R178 ,2398.48,0.14,18196,8 +3318,R400 ,R424 ,2678.01,0.16,35000,2 diff --git a/data/input/test_glmnet.csv b/data/input/test_glmnet.csv new file mode 100644 index 0000000..18fdb9a --- /dev/null +++ b/data/input/test_glmnet.csv @@ -0,0 +1,101 @@ +y,x1,x2,x3 +1581,154,391,3 +1578,193,364,1 +1420,162,332,2 +1496,107,394,3 +1567,156,385,3 +1271,119,311,3 +1460,131,366,2 +1358,158,314,1 +1454,152,350,3 +1434,199,312,1 +1486,147,364,2 +1538,170,366,1 +1438,150,346,2 +1493,200,331,3 +1529,188,351,1 +1617,163,397,2 +1594,189,372,1 +1335,166,301,3 +1364,152,320,3 +1446,142,354,3 +1273,126,307,2 +1318,102,338,2 +1460,170,340,2 +1442,137,356,3 +1423,141,347,2 +1590,193,368,3 +1334,143,316,1 +1445,116,371,1 +1381,108,355,1 +1311,118,325,3 +1506,184,346,1 +1688,197,398,1 +1503,118,389,3 +1477,195,329,3 +1282,126,310,2 +1536,190,352,2 +1446,130,362,1 +1331,101,343,3 +1462,132,366,2 +1490,137,372,1 +1513,111,397,2 +1400,128,348,2 +1394,116,354,1 +1634,167,400,2 +1247,110,309,1 +1375,168,313,3 +1456,105,382,2 +1272,133,302,2 +1433,125,361,3 +1286,131,308,2 +1437,160,339,2 +1369,138,331,3 +1403,113,359,3 +1476,109,386,3 +1438,114,370,3 +1470,103,388,2 +1465,135,365,2 +1536,175,362,2 +1440,142,352,3 +1501,135,377,2 +1523,185,351,2 +1509,181,349,2 +1486,186,338,2 +1559,146,389,3 +1314,142,310,3 +1385,104,359,2 +1495,192,337,1 +1626,172,394,1 +1452,145,354,3 +1414,123,356,3 +1346,122,334,3 +1593,199,365,1 +1461,172,339,2 +1471,189,331,1 +1398,127,348,2 +1670,185,400,3 +1389,157,325,1 +1484,158,356,1 +1607,200,369,3 +1380,115,350,2 +1353,136,327,1 +1354,159,312,3 +1598,194,370,1 +1538,182,358,3 +1454,107,380,2 +1340,122,332,3 +1525,180,355,1 +1376,149,326,1 +1406,200,302,3 +1597,174,383,1 +1498,192,338,3 +1607,173,387,3 +1342,114,338,2 +1478,173,344,3 +1398,199,300,1 +1438,141,352,2 +1421,194,311,2 +1543,177,363,1 +1481,137,369,1 +1413,157,333,2 diff --git a/data/input/us_city.csv b/data/input/us_city.csv new file mode 100644 index 0000000..8a2cb66 --- /dev/null +++ b/data/input/us_city.csv @@ -0,0 +1,37843 @@ +city,lat,lng +Prairie Ridge,47.1443,-122.1408 +Edison,48.5602,-122.4311 +Packwood,46.6085,-121.6702 +Wautauga Beach,47.5862,-122.5482 +Harper,47.5207,-122.5196 +Telma,47.8432,-120.8157 +Kahlotus,46.6437,-118.5565 +Mondovi,47.6813,-118.0164 +Washtucna,46.754,-118.3106 +Pleasant Hill,47.6154,-121.9096 +Toledo,46.4412,-122.8493 +Wabash,47.2429,-122.0576 +Renton,47.4758,-122.1905 +Chehalis,46.6637,-122.9647 +Marcellus,47.2335,-118.4053 +Central Valley,47.6632,-122.6499 +Ralston,46.9838,-118.3427 +Lake City,47.1487,-122.5512 +Megler,46.2509,-123.8576 +Alder,46.7872,-122.2666 +Goose Prairie,46.8951,-121.267 +Belvedere,48.0499,-118.985 +Waverly,47.3381,-117.2313 +Turner Corner,47.8045,-122.1435 +Lofall,47.8114,-122.6563 +Kennydale,47.5207,-122.2068 +Easton,47.2405,-121.1733 +Navy Yard City,47.5508,-122.6655 +Mercer Island,47.5625,-122.2265 +Lynnwood,47.8285,-122.3034 +Coulee City,47.612,-119.2892 +Douglas,47.6212,-120.0048 +Centralia,46.7226,-122.9695 +Colbert,47.8266,-117.3419 +Bryn Mawr,47.5034,-122.2329 +Silverdale,47.6663,-122.6828 +Lyle,45.6956,-121.2805 +Malott,48.2919,-119.6955 +Mountlake Terrace,47.792,-122.3076 +Ilwaco,46.3108,-124.0422 +Fairwood,47.4467,-122.143 +Warm Beach,48.1649,-122.3442 +Thomas,47.3537,-122.229 +Parker,46.5022,-120.4668 +Steptoe,47.0075,-117.3502 +Vail,46.8451,-122.6562 +Magnolia Beach,47.382,-122.4832 +Lakeview,47.1593,-122.4982 +Shaw Island,48.5843,-122.9291 +Oakesdale,47.1305,-117.2465 +Rosburg,46.3076,-123.6344 +Seattle,47.6211,-122.3244 +Onalaska,46.5783,-122.7112 +George,47.0846,-119.8598 +Index,47.8212,-121.5556 +Winchester,47.249,-119.7198 +Chelatchie,45.9279,-122.3795 +Allentown,47.4943,-122.2762 +Novelty,47.709,-121.9846 +Rosalia,47.2363,-117.377 +Richmond Beach,47.7695,-122.3901 +Lakota,47.3329,-122.3723 +Liberty Lake,47.6687,-117.1032 +Airway Heights,47.6459,-117.5792 +Reardan,47.6698,-117.8778 +Farmer,47.6126,-119.812 +Brier,47.7922,-122.2734 +Robe,48.0973,-121.8135 +Elk Plain,47.0448,-122.3671 +Port Townsend,48.122,-122.7872 +Ocean City,47.0762,-124.1619 +Boulevard Park,47.5135,-122.3159 +Newhalem,48.6737,-121.2473 +Ford,47.9082,-117.8058 +Waterville,47.648,-120.0707 +Quinault,47.467,-123.8455 +Humptulips,47.2491,-123.9348 +Hamilton,48.5282,-121.9834 +Oak Harbor,48.2965,-122.633 +Naches,46.7274,-120.6945 +Hooper,46.7749,-118.1486 +Anacortes,48.4878,-122.6292 +Kettle Falls,48.6055,-118.062 +Walnut Grove,45.6769,-122.6072 +Salkum,46.5321,-122.6259 +Cunningham,46.8221,-118.8064 +Irby,47.3593,-118.8511 +Electric City,47.922,-119.0475 +Burbank,46.1991,-118.9728 +Silver Lake,46.2973,-122.8107 +Dash Point,47.3131,-122.4153 +Pataha,46.4732,-117.5366 +Laurel,45.944,-121.3801 +Woods Creek,47.8821,-121.8982 +McKenna,46.9365,-122.55 +Revere,47.0813,-117.9302 +Kalama,46.0171,-122.8393 +Grandview,46.2431,-119.9084 +Winthrop,48.4716,-120.179 +Maltby,47.8027,-122.1044 +Spangle,47.4299,-117.3812 +Blanchard,48.5934,-122.4166 +Artondale,47.3023,-122.6398 +May Creek,47.8555,-121.6744 +Home,47.279,-122.7744 +Vashon,47.4122,-122.4726 +Snoqualmie Falls,47.5398,-121.8098 +Laurier,48.9974,-118.2248 +Quincy,47.2345,-119.852 +Lake McMurray,48.3129,-122.2317 +Martha Lake,47.848,-122.2326 +Ariel,45.9568,-122.5709 +Loon Lake,48.0685,-117.6298 +Thornton,47.1207,-117.3896 +Starbuck,46.5183,-118.1247 +Ronald,47.2338,-121.0335 +Kelso,46.1248,-122.8908 +Meadowdale,47.8583,-122.3156 +Cottage Lake,47.7466,-122.0755 +Cheney,47.4902,-117.5789 +Woodway,47.7903,-122.3851 +Lacey,47.045,-122.7931 +Harrah,46.407,-120.5423 +Allyn,47.3863,-122.8386 +South Bend,46.668,-123.8008 +Barstow,48.7783,-118.1329 +Tiger,48.6916,-117.4077 +Warden,46.9681,-119.0515 +Junction City,46.9713,-123.7651 +Blyn,48.0131,-122.9897 +Lakebay,47.257,-122.7585 +Tahuya,47.3712,-123.0557 +Waukon,47.5396,-117.8433 +Kitsap Lake,47.5829,-122.7085 +Sultan,47.8702,-121.8041 +Plain,47.7626,-120.6573 +Tanner,47.4813,-121.6922 +Stehekin,48.3093,-120.6565 +Edmonds,47.8114,-122.3533 +North Hill,47.4193,-122.3235 +Zillah,46.4083,-120.2718 +Monse,48.1413,-119.6778 +Lake Forest Park,47.7596,-122.2879 +Chinook,46.2755,-123.9425 +Albion,46.7916,-117.2511 +Skykomish,47.7103,-121.3584 +Yakima,46.5923,-120.5496 +Pacific,47.261,-122.2507 +Wishram,45.6599,-120.9698 +Cascade Valley,47.1371,-119.3272 +Cathcart,47.8525,-122.1058 +Brush Prairie,45.725,-122.5483 +Amboy,45.9122,-122.4795 +Centerville,45.754,-120.9081 +Verlot,48.1002,-121.7679 +Alstown,47.561,-119.9951 +Synarep,48.521,-119.3309 +Annapolis,47.5476,-122.6207 +Port Gamble,47.8543,-122.5838 +Eatonville,46.8682,-122.2697 +Similk Beach,48.4479,-122.5779 +Cougar,46.0515,-122.2995 +Eglon,47.8626,-122.5146 +Paterson,45.9371,-119.6028 +Tenino,46.8537,-122.8607 +Minnehaha,45.6577,-122.6204 +Raymond,46.6838,-123.7381 +Alger,48.6176,-122.3369 +Roy,46.9971,-122.5423 +Almira,47.7105,-118.9369 +Fragaria,47.464,-122.5312 +Green Bluff,47.819,-117.277 +Woodmont Beach,47.3615,-122.3121 +Frances,46.5423,-123.5049 +Lynden,48.9503,-122.4544 +Clayton,48.0012,-117.5611 +Everson,48.9123,-122.351 +White Swan,46.3769,-120.7382 +Camano,48.1865,-122.4708 +Cedar Grove,47.4357,-122.0621 +Winton,47.7354,-120.7412 +East Olympia,46.9676,-122.8357 +Sunset Beach,47.2182,-122.5726 +Belfair,47.4512,-122.8473 +Oso,48.2836,-121.9238 +Federal Way,47.309,-122.3359 +Scandia,47.7165,-122.6579 +Quilcene,47.8369,-122.9058 +Covada,48.2204,-118.2089 +Keyport,47.6993,-122.6232 +Juanita,47.7032,-122.2071 +Molson,48.981,-119.2006 +Daisy,48.3613,-118.16 +Sumas,48.9956,-122.2695 +Mill Creek,47.8633,-122.2034 +Lakewood,47.1628,-122.5299 +Venersborg,45.786,-122.4721 +West Lake Sammamish,47.5776,-122.1012 +Port Angeles,48.1142,-123.4565 +Longview,46.146,-122.963 +Fairmont,47.902,-122.2543 +Wapato,46.4434,-120.4215 +East Port Orchard,47.5193,-122.6183 +North Omak,48.444,-119.4459 +East Farms,47.7074,-117.0524 +Eschbach,46.667,-120.6337 +Chattaroy,47.8896,-117.3577 +Inchelium,48.3378,-118.2372 +Maxwelton,47.9373,-122.4443 +White Center,47.5086,-122.348 +Medical Lake,47.5713,-117.6893 +Lyman,48.523,-122.0634 +Arlington,48.1697,-122.1446 +Ruston,47.2982,-122.51 +McCleary,47.0584,-123.2723 +Sammamish,47.6019,-122.0419 +Covington,47.3668,-122.1044 +McMillin,47.1286,-122.2374 +La Grande,46.8199,-122.2962 +Cromwell,47.2743,-122.6224 +Berrydale,47.3398,-122.1279 +Wenatchee,47.4338,-120.3285 +Urban,48.6179,-122.6921 +Maplewood,47.3715,-122.5689 +Marys Corner,46.5471,-122.8226 +Mattawa,46.7364,-119.9019 +Cove,47.452,-122.5079 +Chico,47.6234,-122.7198 +Maple Falls,48.9135,-122.1049 +Colvos,47.4762,-122.4907 +Ames Lake,47.6346,-121.9664 +Ellisforde,48.7899,-119.4012 +Selah,46.6482,-120.5389 +Pine Lake,47.5787,-122.0462 +Tampico,46.5325,-120.8727 +Colton,46.5675,-117.1285 +Usk,48.3138,-117.2797 +Cle Elum,47.1946,-120.9553 +Omak,48.4227,-119.5159 +Eureka,46.3032,-118.6167 +Harrington,47.4802,-118.2553 +Sedro-Woolley,48.5113,-122.232 +Cherry Grove,45.8021,-122.5764 +La Push,47.9087,-124.6366 +Lake Ketchum,48.282,-122.348 +Arletta,47.2901,-122.6676 +Opportunity,47.6574,-117.2399 +Glenoma,46.5146,-122.1601 +Curlew,48.8777,-118.6045 +Hartline,47.6894,-119.1081 +Midland,47.1734,-122.412 +Adna,46.629,-123.0612 +Roslyn,47.2507,-121.0987 +Deer Park,47.9642,-117.4397 +Tracyton,47.6095,-122.6533 +Hunts Point,47.642,-122.229 +Koontzville,48.0157,-118.9472 +Fruitland,48.071,-118.1989 +Chewelah,48.2929,-117.7336 +Mohler,47.4049,-118.3291 +East Renton Highlands,47.4718,-122.0854 +Sunnyside,46.3159,-120.0058 +Long Lake,47.836,-117.8488 +Wauna,47.3861,-122.6693 +Liberty,47.2537,-120.6654 +Normandy Park,47.4344,-122.3436 +Mirrormont,47.4616,-121.9936 +Parkwood,47.5265,-122.5986 +Jamestown,48.1229,-123.0911 +Forks,47.9526,-124.3904 +Wallula,46.0847,-118.9056 +Nighthawk,48.9665,-119.642 +SeaTac,47.4445,-122.2986 +Royal City,46.9,-119.6142 +Beaux Arts Village,47.5854,-122.2009 +Steilacoom,47.17,-122.5935 +Northport,48.9159,-117.7796 +Eldon,47.5454,-123.046 +Ridgefield,45.8116,-122.7052 +Ryderwood,46.3749,-123.0441 +Manchester,47.5519,-122.5517 +Vashon Heights,47.5057,-122.4654 +Salmon Creek,45.7099,-122.6632 +Vantage,46.9453,-119.9923 +Creston,47.7596,-118.5201 +Soap Lake,47.3914,-119.4892 +Silver Firs,47.8635,-122.1497 +Plaza,47.3202,-117.3838 +Machias,47.9917,-122.0515 +Neah Bay,48.3612,-124.6115 +Malo,48.7998,-118.6119 +Clyde Hill,47.6303,-122.218 +Marlin,47.4074,-118.985 +North Yelm,46.9647,-122.6028 +Grand Coulee,47.9391,-119.0031 +Outlook,46.3311,-120.0923 +Clinton,47.9731,-122.3577 +Evans,48.7135,-118.0253 +Browns Point,47.3036,-122.4369 +Kennewick,46.1979,-119.1732 +North Marysville,48.1112,-122.1459 +Beaver Valley,47.9259,-122.7302 +Ahtanum,46.5581,-120.6099 +Carbonado,47.0805,-122.0536 +Hyak,47.3929,-121.3929 +Arlington Heights,48.2119,-122.0631 +North Sultan,47.8827,-121.8251 +Pullman,46.7342,-117.1661 +Wymer,46.826,-120.4598 +Adelaide,47.3309,-122.3604 +Peaceful Valley,48.9477,-122.1406 +West Richland,46.3115,-119.3997 +Fife Heights,47.2593,-122.3457 +Manson,47.8858,-120.1563 +Sprague,47.3048,-117.9713 +Cosmopolis,46.9541,-123.7725 +Redondo,47.3484,-122.3235 +Waller,47.2035,-122.3699 +Addy,48.3588,-117.8372 +Matlock,47.2379,-123.4079 +Longbranch,47.2257,-122.7739 +North Bonneville,45.6425,-121.9689 +Pomeroy,46.4737,-117.5967 +Colville,48.5454,-117.8986 +Palmer,47.3143,-121.8923 +Skyway,47.4915,-122.2543 +Medina,47.6256,-122.2338 +Algona,47.282,-122.2503 +Nine Mile Falls,47.7757,-117.5461 +Black Diamond,47.313,-122.0181 +Gold Bar,47.8566,-121.6927 +Mesa,46.5737,-119.0013 +Cavalero Corner,47.9782,-122.1349 +Lilliwaup,47.4634,-123.1143 +La Conner,48.3927,-122.4945 +Sheridan Beach,47.7448,-122.2882 +Emden,47.1046,-118.1227 +Markham,46.9155,-123.9814 +Eltopia,46.4587,-119.0172 +Stevenson,45.6943,-121.8932 +Greenwater,47.1465,-121.632 +Copalis Beach,47.1205,-124.1722 +Roosevelt,47.8923,-122.0123 +La Crosse,46.8014,-117.9026 +Summit,47.1694,-122.3628 +Ohop,46.9457,-122.1907 +Malden,47.2296,-117.4731 +Beverly,46.8368,-119.9331 +Prosser,46.2066,-119.7662 +Lake Roesiger,47.9839,-121.9129 +Fern Prairie,45.637,-122.3963 +Maple Valley,47.366,-122.0369 +Gifford,48.3063,-118.1464 +Auburn,47.3041,-122.211 +Burton,47.389,-122.4607 +Kewa,48.201,-118.2786 +Carrolls,46.0715,-122.8623 +Bayne,47.2951,-121.9096 +East Cathlamet,46.1968,-123.358 +Purdy,47.3938,-122.6114 +Kapowsin,46.9727,-122.2272 +Ketron,47.1569,-122.6343 +Connell,46.6626,-118.8404 +Lincoln,47.829,-118.415 +Clear Lake,48.4561,-122.2378 +Kittitas,46.9837,-120.4192 +Bucoda,46.7968,-122.868 +Ardenvoir,47.7373,-120.369 +Ellisport,47.4204,-122.4354 +Bainbridge Island,47.6439,-122.5434 +Danville,48.9938,-118.5068 +Hazelwood,47.5509,-122.1915 +Holly,47.5576,-122.9785 +Valley,48.173,-117.7245 +Republic,48.6477,-118.7326 +Odessa,47.3326,-118.6895 +Edgewood,47.2309,-122.2832 +Burlington,48.4677,-122.3298 +Rice,48.4288,-118.1703 +Marengo,47.0257,-118.1886 +Cusick,48.3328,-117.2962 +Virginia,47.7073,-122.6374 +Concrete,48.5371,-121.7512 +Langley,48.0337,-122.4084 +Othello,46.8222,-119.1651 +North City,47.7557,-122.3135 +Hazel Dell,45.6797,-122.6553 +Colfax,46.9031,-117.3394 +Metaline,48.854,-117.3899 +Randle,46.5351,-121.957 +Millwood,47.6856,-117.2806 +Snoqualmie Pass,47.4014,-121.411 +Bangor,47.7209,-122.746 +Thorp,47.0655,-120.6709 +Tahlequah,47.3326,-122.5073 +Prescott,46.2988,-118.3125 +Buckley,47.1615,-122.02 +Dalkena,48.2449,-117.2377 +Leland,47.8918,-122.8866 +Fruitvale,46.6179,-120.5531 +Port Hadlock,48.0318,-122.7582 +University Place,47.2148,-122.546 +Morton,46.5575,-122.2815 +Deep River,46.3521,-123.6984 +Elberton,46.9813,-117.2213 +Kingston,47.8014,-122.4989 +Silverton,48.0784,-121.5671 +Vader,46.4045,-122.9569 +Donald,46.4737,-120.3923 +Miles,47.9107,-118.2925 +Asotin,46.3371,-117.0433 +Joyce,48.1365,-123.7341 +Eagledale,47.6143,-122.5154 +Port Ludlow,47.9101,-122.7006 +Loomis,48.8235,-119.6398 +New London,47.0573,-123.9271 +Desert Aire,46.6873,-119.9311 +Poulsbo,47.7417,-122.6407 +Cedonia,48.1538,-118.1692 +Union,47.3475,-123.0952 +Suquamish,47.7237,-122.583 +Deep Creek,47.6429,-117.7122 +Yoman,47.1865,-122.7062 +Cordell,48.8665,-119.412 +Hoquiam,46.9863,-123.9023 +Hay,46.6788,-117.9158 +Nespelem,48.167,-118.9722 +Ephrata,47.3119,-119.5344 +Kent,47.3887,-122.2128 +Mukilteo,47.9094,-122.3035 +Boise,47.1804,-122.0157 +Kirkland,47.6997,-122.2041 +Waitsburg,46.2696,-118.151 +Ridgecrest,47.7473,-122.3179 +Freeman,47.5182,-117.1958 +Dallesport,45.6316,-121.1749 +Redmond,47.6762,-122.1166 +Wilkeson,47.1034,-122.0495 +Sisco Heights,48.1188,-122.1076 +Lewisville,45.8127,-122.5144 +Kennard Corner,47.8201,-122.2076 +Benge,46.9093,-118.1025 +Granger,46.3455,-120.1925 +Yarrow Point,47.6452,-122.2179 +Lost Creek,48.6094,-117.3636 +Moxee City,46.5537,-120.3831 +Hockinson,45.7301,-122.4833 +Oakville,46.8403,-123.2333 +Tukwila,47.4748,-122.2727 +Mabana,48.0945,-122.4151 +Kangley,47.3618,-121.8801 +Clallam Bay,48.2536,-124.2579 +Newport,48.179,-117.0549 +Enetai,47.5885,-122.6058 +Clearview,47.8292,-122.1452 +Sahalee,47.6348,-122.0554 +Yelm,46.9398,-122.6261 +Midway,47.3048,-122.5896 +Olympia,47.0418,-122.8959 +Endicott,46.9282,-117.6868 +Lind,46.9703,-118.6162 +Fife,47.2328,-122.3517 +Newport Hills,47.5409,-122.1765 +Upper Mill,47.1934,-121.9271 +Upper Preston,47.5051,-121.9076 +Pateros,48.0536,-119.8994 +Nordland,48.0509,-122.691 +Tyler,47.436,-117.7835 +Camden,48.0474,-117.2399 +Palisades,47.419,-119.9145 +Rockport,48.4854,-121.6065 +Port Orchard,47.516,-122.6615 +Preston,47.5237,-121.9271 +Tieton,46.7026,-120.756 +Rochester,46.8288,-123.0722 +Bingen,45.7139,-121.4704 +Harbour Pointe,47.8857,-122.3051 +Wellpinit,47.8879,-117.988 +Glacier,48.8902,-121.9323 +Farmington,47.0887,-117.0464 +Eastsound,48.6968,-122.9055 +Central Park,46.9705,-123.7018 +Bremerton,47.5436,-122.7122 +Friday Harbor,48.5324,-123.0656 +Carnation,47.6446,-121.9048 +Lake Shore,45.6911,-122.6911 +Houghton,47.6609,-122.206 +Lester,47.2093,-121.494 +Lake Stevens,48.0029,-122.096 +Mineral,46.7193,-122.1859 +Lake Stickney,47.8709,-122.2596 +Acme,48.7146,-122.2293 +Oyehut,47.0232,-124.1631 +Mossyrock,46.5305,-122.4887 +Bridgeport,48.0063,-119.6737 +Fobes Hill,47.9391,-122.1341 +Rosario,48.6487,-122.876 +Brewster,48.1034,-119.7751 +Fox Island,47.2475,-122.6255 +Canyon Park,47.7909,-122.1926 +Rock Island,47.3743,-120.1382 +High Rock,47.8129,-121.9826 +Rockford,47.4513,-117.1307 +Erlands Point,47.5998,-122.6929 +Montesano,47.0102,-123.5858 +Gorst,47.5237,-122.7057 +Johnson,46.6316,-117.1379 +Alderton,47.1718,-122.2192 +Dusty,46.8102,-117.6519 +Tekoa,47.2247,-117.0731 +Bay Center,46.6211,-123.9533 +La Center,45.8586,-122.6767 +Mazama,48.5921,-120.404 +Selleck,47.3757,-121.8684 +Amanda Park,47.4532,-123.9194 +Doris,46.8676,-120.0098 +Sunnydale,47.4632,-122.3337 +Van Zandt,48.789,-122.1918 +McDonald,47.0713,-119.2156 +Moclips,47.2348,-124.2025 +Ocean Park,46.4961,-124.0443 +West Valley,46.5921,-120.6051 +Thompson Place,47.0554,-122.7835 +Dungeness,48.1468,-123.1232 +Birch Bay,48.923,-122.7543 +Stratford,47.4268,-119.2816 +Ione,48.7402,-117.4223 +Tacoma,47.2431,-122.4531 +Barberton,45.7136,-122.6114 +Yacolt,45.865,-122.4059 +Coulee Dam,47.9688,-118.9761 +Almota,46.7029,-117.4694 +Skamokawa,46.2704,-123.4571 +Woodinville,47.7569,-122.1478 +Swinomish Village,48.4082,-122.5113 +Methow,48.1289,-120.0056 +Bay View,48.487,-122.4628 +Newaukum,47.2573,-122.1018 +Kalaloch,47.6045,-124.3724 +Meadow Glade,45.7524,-122.5614 +Disautel,48.345,-119.2299 +Copalis Crossing,47.1079,-124.0693 +Burley,47.4166,-122.6377 +Riverside,48.5047,-119.5102 +Ocean Shores,46.9685,-124.1521 +Bethel,47.4874,-122.6175 +Grisdale,47.357,-123.6124 +South Hill,47.1203,-122.2848 +Island View,46.2393,-119.2233 +Winona,46.9457,-117.8005 +Leadpoint,48.9094,-117.5875 +Brooklyn,46.7762,-123.5099 +Mansfield,47.8119,-119.638 +Sequim,48.0747,-123.0944 +Esperance,47.7937,-122.3469 +Springdale,48.0572,-117.7466 +Okanogan,48.3671,-119.5783 +Cedar Mountain,47.4482,-122.0732 +Moses Lake,47.1285,-119.2741 +Littlerock,46.9018,-123.0179 +Trentwood,47.6966,-117.2108 +Mabton,46.2115,-119.9938 +Klickitat,45.818,-121.1626 +Puyallup,47.1794,-122.2902 +Cinebar,46.6043,-122.5318 +San de Fuca,48.2351,-122.7232 +Cathlamet,46.2056,-123.3835 +Richardson,48.4515,-122.8988 +Sumner,47.2189,-122.2338 +Davenport,47.6551,-118.1519 +Cliffdell,46.9213,-121.042 +Fall City,47.5717,-121.9134 +Dockton,47.3718,-122.4593 +Conway,48.3356,-122.3444 +Marshall,47.5649,-117.4994 +Walla Walla,46.067,-118.3365 +Canterwood,47.3766,-122.6022 +Lexington,46.1873,-122.9054 +Country Homes,47.7478,-117.4196 +Altoona,46.2699,-123.6144 +South Cle Elum,47.1862,-120.9525 +Waldron,48.6876,-123.0369 +Chesaw,48.946,-119.0514 +Sunnyslope,47.5045,-122.729 +Olympic View,47.694,-122.7404 +Hood,45.7248,-121.5581 +Elbe,46.7652,-122.1946 +Venice,47.667,-122.5799 +Cumberland,47.2829,-121.9271 +Ostrander,46.1926,-122.8921 +Cohassett Beach,46.8655,-124.1053 +Deming,48.8381,-122.2313 +Sekiu,48.2637,-124.3012 +Terrace Heights,46.6024,-120.4482 +Nemah,46.512,-123.886 +Neilton,47.4031,-123.8782 +Grays River,46.3608,-123.589 +Ashford,46.7537,-122.0113 +Boistfort,46.5351,-123.1337 +Shore Acres,47.3104,-122.5715 +Bothell,47.7736,-122.2044 +South Broadway,46.5662,-120.5167 +Edwall,47.5046,-117.9511 +Georgetown,47.3576,-121.9737 +Maryhill,45.6928,-120.807 +Huntsville,46.2871,-118.1072 +Greenbank,48.0982,-122.5729 +Murphys Corner,47.8782,-122.2068 +Tokeland,46.709,-123.984 +Felida,45.7138,-122.7103 +Fairview,47.6215,-122.6685 +Tumwater,46.989,-122.9172 +Uniontown,46.5391,-117.0861 +Coupeville,48.2172,-122.6775 +River Road,48.0677,-123.1276 +Duvall,47.7354,-121.9725 +Marcus,48.6642,-118.0601 +Seattle Heights,47.8104,-122.324 +Strandell,48.9121,-122.3582 +Key Center,47.3376,-122.7506 +Hanford,46.5837,-119.3878 +Grand Mound,46.8053,-123.0119 +Taholah,47.3283,-124.2728 +Port Blakely,47.5973,-122.5101 +Malone,46.9779,-123.3035 +Boston Harbor,47.1384,-122.901 +Rainier,46.8917,-122.6867 +Menlo,46.6215,-123.6471 +Azwell,47.9371,-119.8765 +Glendale,47.9395,-122.3585 +Monroe,47.8596,-121.9853 +Sawyer,46.4565,-120.3614 +Clarkston,46.4152,-117.0502 +Spanaway,47.0979,-122.4233 +Gig Harbor,47.3353,-122.5968 +Big Lake,48.3933,-122.2422 +Smyrna,46.8393,-119.6623 +Carlton,48.2482,-120.1162 +Monitor,47.4868,-120.4181 +Des Moines,47.3914,-122.3154 +Lucerne,48.2024,-120.5912 +Carlisle,47.1548,-124.0985 +Metaline Falls,48.8616,-117.3705 +Breidablick,47.802,-122.6493 +Snohomish,47.9277,-122.097 +Richland,46.2826,-119.2938 +Parkland,47.1417,-122.4376 +Veradale,47.6568,-117.1963 +Kummer,47.2868,-122.0212 +Woodland,45.9149,-122.7504 +Washougal,45.5812,-122.3433 +Boyds,48.7244,-118.1322 +Bonney Lake,47.1788,-122.1699 +South Prairie,47.1373,-122.094 +Larimers Corner,47.8918,-122.1446 +Porter,46.9489,-123.2736 +Lisabeula,47.4073,-122.5176 +Saint John,47.0915,-117.5887 +Spokane Valley,47.6625,-117.2346 +Lake Cavanaugh,48.3225,-122.0121 +Bellevue,47.5953,-122.1551 +Custer,48.9143,-122.6397 +Orcas,48.5979,-122.9446 +Diablo,48.7135,-121.1412 +Christopher,47.334,-122.2321 +Midvale Corner,47.9926,-122.4176 +Marysville,48.0809,-122.1558 +Newcastle,47.5303,-122.1633 +North Bend,47.4898,-121.7738 +Snoqualmie,47.5293,-121.8412 +Three Lakes,47.942,-121.9924 +Kendall,48.9167,-122.1382 +Kanaskat,47.3204,-121.8937 +Schrag,47.0732,-118.8542 +Wilbur,47.7582,-118.7115 +Enumclaw,47.2017,-121.9897 +Nile,46.8368,-120.9455 +Alderwood Manor,47.8146,-122.2677 +Clarkston Heights,46.3963,-117.0824 +Pacific Beach,47.215,-124.1967 +Napavine,46.5844,-122.9007 +Hatton,46.7735,-118.8277 +Shelton,47.2188,-123.1127 +Chimacum,48.0109,-122.7688 +Naselle,46.365,-123.8013 +Grotto,47.7362,-121.4234 +Sunrise Beach,47.3234,-122.6979 +Bellingham,48.7543,-122.4687 +Castle Rock,46.2718,-122.9057 +Pine City,47.2024,-117.5244 +Nooksack,48.9276,-122.3212 +Elma,47.0074,-123.4055 +Kenmore,47.7532,-122.2459 +Ellensburg,46.9994,-120.547 +Belmont,47.0879,-117.1624 +DuPont,47.1079,-122.6496 +Long Beach,46.3559,-124.0557 +Seabeck,47.6437,-122.8219 +Granite Falls,48.0874,-121.9704 +Tonasket,48.708,-119.4417 +Otis Orchards,47.7005,-117.1063 +Milton,47.2522,-122.3154 +West Pasco,46.2497,-119.1684 +Badger,46.2001,-119.3595 +Lamont,47.2007,-117.9049 +Ravensdale,47.3563,-121.9692 +Rollingbay,47.6645,-122.5101 +Rocky Point,47.5875,-122.6665 +Garrett,46.0633,-118.3876 +Palouse,46.9103,-117.0751 +Grayland,46.8304,-124.0898 +Gilberton,47.639,-122.6049 +Withrow,47.7049,-119.8087 +Stanwood,48.2448,-122.3431 +Ayer,46.5963,-118.3483 +Sudden Valley,48.7199,-122.3468 +Meridian,47.6695,-122.3304 +Aberdeen Gardens,47.0587,-123.7791 +Possession,47.9176,-122.3762 +Benton City,46.2624,-119.4814 +Bickleton,46.0056,-120.3081 +Elmer City,48,-118.9534 +Doty,46.6345,-123.2776 +East Wenatchee,47.4172,-120.2809 +Newman Lake,47.7768,-117.0949 +Freeland,48.0185,-122.5358 +Indianola,47.7566,-122.5142 +Cowiche,46.6729,-120.7154 +Husum,45.7993,-121.487 +Alderdale,45.8349,-119.9209 +Lamona,47.3593,-118.4825 +Skokomish,47.3298,-123.1579 +Vaughn,47.355,-122.7773 +Ruby,48.5221,-117.2991 +Bryant,48.24,-122.1638 +Coalfield,47.5026,-122.1218 +Swede Heaven,48.2829,-121.7136 +Spokane,47.6671,-117.433 +Brady,47.0064,-123.5321 +Spring Glen,47.5612,-121.8615 +Hoodsport,47.402,-123.1542 +Leavenworth,47.5948,-120.6633 +Tanglewilde,47.0512,-122.7809 +Bow,48.5618,-122.3982 +Carlsborg,48.0842,-123.1697 +North Lynnwood,47.8533,-122.2762 +Cedar Falls,47.4254,-121.7768 +Chelan,47.8417,-120.027 +Wilson Creek,47.423,-119.1176 +Latah,47.2822,-117.1557 +Brownsville,47.6557,-122.6165 +Amber,47.3518,-117.7116 +Zenith,47.3865,-122.3232 +Goodnoe Hills,45.7512,-120.4803 +Camas,45.6003,-122.4306 +Olalla,47.4293,-122.5457 +Basin City,46.5891,-119.1567 +Blaine,48.9839,-122.7414 +Oroville,48.9421,-119.4304 +Orchards,45.6888,-122.5305 +Union Gap,46.5567,-120.4969 +Mead,47.7795,-117.35 +Manzanita,47.6762,-122.5596 +Pasco,46.2503,-119.1298 +Touchet,46.0412,-118.6724 +Pe Ell,46.5712,-123.2982 +Baring,47.7661,-121.4803 +Sappho,48.0701,-124.2794 +Hunters,48.1168,-118.2019 +Gleed,46.6594,-120.6025 +Fairfield,47.3848,-117.1748 +Torboy,48.6772,-118.6689 +Cashmere,47.5175,-120.4671 +Willapa,46.6755,-123.6648 +Issaquah,47.5421,-122.0445 +Toppenish,46.3807,-120.3124 +Finley,46.1697,-119.0446 +Darrington,48.2546,-121.6029 +Picnic Point,47.8745,-122.3079 +Aeneas,48.5474,-118.9786 +Cedarhurst,47.482,-122.4793 +Four Lakes,47.5582,-117.5891 +Dayton,46.3168,-117.977 +Port Madison,47.7026,-122.5243 +Orting,47.0966,-122.2111 +Wheeler,47.1307,-119.172 +Fircrest,47.2308,-122.5157 +Lebam,46.5641,-123.551 +Marrowstone,48.0568,-122.6933 +North Puyallup,47.2015,-122.2742 +Five Corners,45.6882,-122.574 +Graham,47.0407,-122.2757 +Longview Heights,46.1796,-122.9577 +Hobart,47.412,-121.996 +Point Roberts,48.9883,-123.0576 +Town and Country,47.7259,-117.4221 +Lake Hills,47.6134,-122.1215 +Rosedale,47.3453,-122.6376 +Irondale,48.042,-122.7727 +Dishman,47.6568,-117.2833 +Bayview,47.2795,-122.6057 +Conconully,48.5571,-119.7513 +Entiat,47.678,-120.2175 +Lochsloy,48.0597,-122.0411 +Brinnon,47.669,-122.9248 +Seahurst,47.4693,-122.3621 +Dixie,46.1392,-118.148 +Eastgate,47.5727,-122.1458 +Blockhouse,45.8396,-120.9376 +Buena,46.4299,-120.3176 +Grapeview,47.3316,-122.8413 +Startup,47.8671,-121.7495 +Hayford,47.6063,-117.5638 +Bell Hill,48.055,-123.087 +Westport,46.8919,-124.1121 +Southworth,47.5126,-122.5298 +Twisp,48.3619,-120.1171 +Milan,47.9668,-117.3316 +Ritzville,47.1254,-118.3809 +Lake Goodwin,48.1387,-122.2804 +McMurray,48.3162,-122.2354 +Portage,47.4073,-122.4376 +Lake Bosworth,48.0532,-121.9812 +Fords Prairie,46.7461,-123.0029 +Longmire,46.7498,-121.8126 +Carson,45.7353,-121.8219 +Mount Vista,45.7373,-122.6315 +Vancouver,45.6352,-122.597 +Chelan Falls,47.7994,-119.9883 +Espanola,47.6032,-117.7416 +Battle Ground,45.7764,-122.5413 +Summitview,46.598,-120.6514 +Geneva,48.7461,-122.4064 +Queets,47.5314,-124.3385 +Wollochet,47.2828,-122.5769 +College Place,46.0431,-118.3869 +Garfield,47.0103,-117.1395 +Ruff,47.1696,-118.9983 +Ewan,47.1168,-117.7349 +Glenwood,46.0227,-121.2926 +Riverbend,47.4651,-121.7491 +Trout Lake,45.9975,-121.529 +Mount Vernon,48.4202,-122.3116 +Ferndale,48.8525,-122.5892 +Hansville,47.8978,-122.5579 +Wickersham,48.6551,-122.2129 +White Salmon,45.7282,-121.4853 +Oysterville,46.549,-124.0282 +Aberdeen,46.9757,-123.8095 +Melbourne,46.9454,-123.626 +Plymouth,45.9346,-119.3503 +Winlock,46.4906,-122.9342 +Satsop,47.0223,-123.4737 +Merritt,47.781,-120.8432 +Shoreline,47.7564,-122.3426 +Peshastin,47.5707,-120.604 +Marble,48.8491,-117.9017 +South Snohomish,47.899,-122.109 +Richmond Highlands,47.7612,-122.3462 +Goldendale,45.8192,-120.8233 +Nisqually,47.0565,-122.7012 +Tillicum,47.1234,-122.5571 +Anatone,46.1349,-117.1324 +Tulalip,48.0684,-122.2918 +Orient,48.8637,-118.2059 +Dieringer,47.2407,-122.2251 +Frederickson,47.0914,-122.3594 +Keller,48.0852,-118.7165 +Marblemount,48.5378,-121.4346 +Turner,46.4124,-117.8547 +Silvana,48.2018,-122.246 +Everett,47.9524,-122.167 +Burien,47.4762,-122.3393 +Riner,37.0676,-80.4405 +Powhatan,37.5427,-77.9267 +Natural Bridge,37.6301,-79.5431 +Chamberlayne Heights,37.6274,-77.4322 +Manassas Park,38.7719,-77.445 +McClure,37.1026,-82.3763 +Brownsburg,37.9285,-79.3192 +Burgess,37.8832,-76.3477 +Lake Barcroft,38.8514,-77.1579 +Clover,36.839,-78.7284 +Columbia,37.7538,-78.1632 +Verona,38.1939,-79.0087 +Fairfax,38.8531,-77.2997 +Falmouth,38.3319,-77.4655 +Scottsburg,36.7588,-78.7914 +Ashburn,39.03,-77.4711 +Big Stone Gap,36.8627,-82.7768 +Gwynn,37.4984,-76.2883 +Jewell Valley,37.2473,-81.8015 +Waynesboro,38.0674,-78.9013 +University Heights,38.041,-78.5222 +Batesville,37.9957,-78.7222 +Whitetop,36.6015,-81.6257 +Nellysford,37.913,-78.8828 +Montrose,37.52,-77.3772 +Lexington,37.7825,-79.444 +Clinchco,37.1588,-82.3562 +Dante,36.9792,-82.296 +Ivor,36.9052,-76.8978 +Montross,38.094,-76.823 +Wintergreen,37.9161,-78.9382 +Vesta,36.7168,-80.3578 +Henry,36.8293,-79.9917 +Jonesville,36.687,-83.1153 +Evington,37.2338,-79.2895 +Duffield,36.7197,-82.7962 +McKenney,36.9853,-77.7219 +Fancy Gap,36.677,-80.6997 +Goshen,37.9901,-79.5067 +Onley,37.6916,-75.718 +Exmore,37.5295,-75.8283 +Schuyler,37.7939,-78.7002 +Kenbridge,36.9608,-78.1284 +Penhook,36.9905,-79.6318 +Mollusk,37.7301,-76.538 +Toga,37.494,-78.6333 +Laurel Park,36.6871,-79.7872 +Bayside,37.7548,-75.7129 +Lignum,38.416,-77.8267 +Winchester,39.1735,-78.1746 +Lebanon,36.8993,-82.0776 +Tysons,38.9214,-77.2273 +Mappsburg,37.5759,-75.7592 +Orange,38.2486,-78.1127 +Midlothian,37.506,-77.6492 +Calverton,38.6355,-77.6661 +Fulks Run,38.6601,-78.9061 +Amelia Court House,37.3366,-77.9882 +Boydton,36.666,-78.3908 +Konnarock,36.666,-81.6382 +Kilmarnock,37.7118,-76.3834 +Crockett,36.8862,-81.192 +Buckingham,37.5501,-78.5556 +Hamilton,39.1349,-77.6642 +Broadlands,39.0168,-77.5167 +Mineral,38.0068,-77.9061 +Apple Grove,37.8929,-77.8969 +Susan,37.366,-76.3136 +Free Union,38.1539,-78.5595 +Keokee,36.8622,-82.9161 +Cleveland,36.9434,-82.1527 +Fairfax Station,38.7942,-77.3358 +Bensley,37.447,-77.442 +Lebanon Church,39.0551,-78.3681 +Brumley Gap,36.8021,-82.0268 +Patrick Springs,36.6344,-80.1985 +Wachapreague,37.6063,-75.6898 +Spencer,36.6199,-80.0073 +Gressitt,37.4874,-76.7077 +Commonwealth,38.0749,-78.4872 +Oak Level,36.7944,-79.9392 +Adwolf,36.7929,-81.5927 +Cana,36.5816,-80.6688 +Haynesville,37.9501,-76.6625 +Jarratt,36.816,-77.4689 +Strasburg,38.9961,-78.3549 +Charles City,37.344,-77.0687 +Rose Hill Farms,38.7776,-77.113 +Radford,37.1229,-80.5587 +Savageville,37.6826,-75.7591 +Emory,36.78,-81.828 +Cartersville,37.6674,-78.0883 +Apple Mountain Lake,38.9231,-78.1033 +Richmond,37.5295,-77.4756 +Barracks,38.0576,-78.5133 +Alberta,36.8553,-77.8937 +Luray,38.6653,-78.4548 +Middleburg,38.9715,-77.7428 +Centreville,38.8391,-77.4389 +Sherando,37.9889,-78.9442 +Kire,37.4401,-80.519 +Drakes Branch,36.9933,-78.6009 +Wicomico Church,37.8151,-76.3777 +Short Pump,37.6549,-77.6201 +Fairview Beach,38.3283,-77.2424 +Lunenburg,36.9584,-78.2682 +Mustoe,38.3237,-79.6403 +Chilhowie,36.8009,-81.6832 +Newington,38.7358,-77.1993 +Greenbush,37.7397,-75.6797 +Glen Lyn,37.3727,-80.858 +Ridgeway,36.5781,-79.8583 +Gargatha,37.7905,-75.582 +Massanutten,38.4115,-78.7269 +Rustburg,37.2712,-79.0961 +Providence Forge,37.4418,-77.0436 +Boykins,36.5778,-77.1989 +Lee Mont,37.7799,-75.6802 +Monterey,38.4116,-79.5809 +Dungannon,36.8285,-82.4681 +Wilderness,38.3257,-77.7258 +Allisonia,36.9342,-80.7255 +Rose Hill,36.667,-83.3753 +Bowling Green,38.0535,-77.3473 +Mappsville,37.8433,-75.5689 +Mountain Road,36.7585,-78.989 +Virginia Beach,36.7335,-76.0435 +Toms Brook,38.9465,-78.44 +Boston,37.6039,-75.8437 +Elliston,37.2164,-80.2245 +Gordonsville,38.1361,-78.1878 +Montvale,37.3866,-79.7253 +Mount Hermon,36.6716,-79.4196 +Occoquan,38.6825,-77.2606 +Craigsville,38.0838,-79.3853 +Herndon,38.97,-77.3867 +Troutville,37.4168,-79.8779 +Greenbackville,38.0105,-75.3869 +Zuni,36.866,-76.8308 +Manakin,37.6015,-77.7022 +McDowell,38.3357,-79.4906 +Glasgow,37.6347,-79.4515 +Hayfield,38.7536,-77.1321 +Timberville,38.6339,-78.773 +Jetersville,37.2943,-78.0942 +Countryside,39.0518,-77.4124 +Mount Crawford,38.36,-78.9413 +Woolwine,36.7899,-80.2773 +Eagle Rock,37.6407,-79.8012 +Crystal Hill,36.8557,-78.9089 +Stonega,36.9532,-82.7913 +Edgerton,36.779,-77.7775 +Arrington,37.6744,-78.8929 +Carrollton,36.9394,-76.5265 +Gore,39.264,-78.3319 +Acorn,38.0193,-76.6491 +Bastian,37.1521,-81.1501 +Stafford,38.4221,-77.4083 +Hanover,37.7668,-77.3706 +Woodlake,37.4216,-77.6783 +Fort Mitchell,36.9182,-78.4861 +Augusta Springs,38.1079,-79.3352 +Chesapeake,36.6778,-76.3024 +Metompkin,37.7671,-75.6054 +Maurertown,38.9325,-78.4615 +Tappahannock,37.9187,-76.8667 +Yale,36.8457,-77.2875 +New Baltimore,38.7495,-77.7151 +Syria,38.4879,-78.3261 +Idylwood,38.8896,-77.2056 +Urbanna,37.6395,-76.5747 +Haysi,37.2151,-82.2931 +Virgilina,36.5463,-78.7755 +Mouth of Wilson,36.5896,-81.3365 +Round Hill,39.1319,-77.7681 +Williamsville,38.1948,-79.5709 +Whitesville,37.7816,-75.6636 +Catlett,38.654,-77.637 +Ebony,36.5759,-77.9839 +Coeburn,36.9445,-82.4695 +Bassett,36.7615,-79.9866 +Purcellville,39.1378,-77.711 +Arlington,38.8786,-77.1011 +Blackstone,37.0821,-78.0029 +New River,37.1409,-80.5929 +Twin Lakes,38.2504,-78.4417 +Stanleytown,36.7512,-79.9521 +Appalachia,36.9098,-82.7882 +Heathsville,37.92,-76.4785 +Covington,37.7786,-79.9868 +Amonate,37.1909,-81.6387 +Charlottesville,38.0375,-78.4855 +Rural Retreat,36.901,-81.2765 +Vansant,37.2358,-82.096 +Smithfield,36.9754,-76.6162 +Lake Monticello,37.921,-78.3295 +Villa Heights,36.6981,-79.8994 +West Springfield,38.7771,-77.2268 +Waverly,37.034,-77.0956 +Abbott,37.4293,-80.1395 +Burkeville,37.1879,-78.2012 +Wallace,36.6529,-82.1279 +Bull Run Mountain Estates,38.9106,-77.6638 +Falling Spring,37.8865,-79.9795 +Chase Crossing,37.7603,-75.6657 +Tazewell,37.1268,-81.5134 +Benns Church,36.9369,-76.5842 +Cullen,37.1176,-78.6492 +Esmont,37.8284,-78.5959 +Lovettsville,39.2735,-77.6399 +Seven Mile Ford,36.8128,-81.6294 +Brooke,38.3876,-77.3797 +Achilles,37.2801,-76.4402 +Lewisetta,37.9979,-76.4627 +Boones Mill,37.1156,-79.9514 +Atkins,36.8674,-81.3992 +Norfolk,36.8945,-76.259 +Belle Haven,37.5557,-75.8258 +Ladysmith,38.0176,-77.5153 +Whaleyville,36.5882,-76.6847 +Middletown,39.0288,-78.278 +Blue Ridge Shores,38.109,-78.0236 +Montclair,38.6111,-77.34 +Dumfries,38.567,-77.3233 +Stuart,36.6404,-80.2686 +Berryville,39.1505,-77.9824 +Templeton,37.0811,-77.3563 +Winterpock,37.346,-77.7194 +Stevens Creek,36.7287,-80.999 +Millboro,37.9751,-79.6028 +Bracey,36.5762,-78.1107 +Stanley,38.5769,-78.5028 +Buchanan,37.5212,-79.6894 +Gretna,36.9492,-79.3647 +Elkton,38.4106,-78.6161 +Moneta,37.1813,-79.6173 +Glen Wilton,37.7529,-79.8189 +Eggleston,37.2873,-80.6187 +Yogaville,37.6654,-78.6946 +Damascus,36.6326,-81.7891 +Rushmere,37.0836,-76.6747 +Petersburg,37.2043,-77.3913 +Dumbarton,37.613,-77.5065 +Fort Hunt,38.7361,-77.0589 +Goldvein,38.449,-77.6553 +Prices Fork,37.207,-80.4852 +Rio,38.0762,-78.4611 +Claremont,37.2273,-76.9665 +Sussex,36.9173,-77.2718 +Hurt,37.0954,-79.3029 +Fort Chiswell,36.9444,-80.9577 +Hallwood,37.8774,-75.5898 +Pungoteague,37.6291,-75.8172 +Hot Springs,38.0013,-79.8239 +Manchester,37.4902,-77.5396 +Sandy Level,36.5645,-79.7276 +Chatham,36.8185,-79.3967 +West Falls Church,38.8648,-77.1878 +Weyers Cave,38.2844,-78.9125 +Walkerton,37.7263,-77.0227 +Pearisburg,37.3289,-80.7275 +Enon,37.3275,-77.3196 +Arvonia,37.6835,-78.3414 +Isle of Wight,36.9076,-76.7077 +Daleville,37.415,-79.9132 +Matoaca,37.2313,-77.4679 +Fair Oaks,38.8653,-77.3586 +Temperanceville,37.899,-75.5527 +Gratton,37.1351,-81.4212 +Franconia,38.7682,-77.1587 +Collinsville,36.7215,-79.9122 +Windsor,36.8095,-76.7406 +Cats Bridge,37.5491,-75.7797 +Parksley,37.7863,-75.6539 +Bland,37.1,-81.1161 +Huntington,38.7916,-77.074 +Brightwood,38.4132,-78.188 +Sanford,37.9299,-75.662 +Chincoteague,37.9591,-75.3496 +Sperryville,38.6562,-78.2322 +Waterford,39.1868,-77.61 +Sugarland Run,39.0309,-77.3762 +Tiptop,37.2109,-81.434 +Deerfield,38.1955,-79.4104 +Meadowbrook,37.4301,-77.474 +Selma,37.8033,-79.8499 +Churchville,38.2247,-79.1619 +Springville,37.194,-81.3999 +Shenandoah,38.4875,-78.6171 +Saxe,36.9299,-78.6633 +Parrott,37.2168,-80.6241 +Altavista,37.1232,-79.2858 +Potomac Mills,38.6547,-77.3012 +Great Falls,39.011,-77.3013 +Naruna,37.106,-79.0025 +Clifton Forge,37.8232,-79.825 +Skyland Estates,38.9329,-78.085 +Lynch Station,37.1463,-79.3009 +Claypool Hill,37.0633,-81.7506 +Fries,36.7139,-80.975 +La Crosse,36.7014,-78.0939 +Glade Spring,36.7899,-81.7726 +Falls Church,38.8847,-77.1751 +Dunn Loring,38.8945,-77.2315 +Pound,37.126,-82.6071 +Rocky Mount,37.0045,-79.8854 +Concord,37.3426,-78.9862 +Grottoes,38.2692,-78.8252 +Modest Town,37.8169,-75.561 +Fairlawn,37.1476,-80.5567 +Galax,36.666,-80.9176 +Farmville,37.2968,-78.3993 +University Center,39.0601,-77.4445 +Lively,37.7776,-76.5136 +Nethers,38.5704,-78.2778 +Hampden Sydney,37.2415,-78.4693 +Saxis,37.9261,-75.7224 +Sutherland,37.196,-77.5597 +Brodnax,36.7033,-78.0318 +Stanardsville,38.2991,-78.4367 +Purdy,36.8224,-77.588 +Highland Springs,37.5516,-77.3285 +Massanetta Springs,38.3899,-78.834 +Martinsville,36.6827,-79.8636 +Chantilly,38.8868,-77.4453 +New Hope,38.1954,-78.9044 +Dry Fork,36.7546,-79.3997 +Toano,37.3799,-76.8041 +Saluda,37.6053,-76.5938 +Danville,36.5831,-79.4088 +Jewell Ridge,37.1848,-81.7884 +Shipman,37.7272,-78.8423 +Quantico,38.5224,-77.2901 +Rice,37.2752,-78.2914 +Triangle,38.5483,-77.3195 +Ingram,36.7443,-79.1584 +Ivy,38.0611,-78.5987 +Ettrick,37.2435,-77.4287 +Harborton,37.6596,-75.8332 +Dendron,37.0364,-76.924 +Prince George,37.2209,-77.2683 +Flint Hill,38.7666,-78.1028 +Quinby,37.5533,-75.7368 +Wise,36.977,-82.5809 +Sedley,36.7753,-76.9862 +Dale City,38.6473,-77.3459 +Mechanicsville,37.6262,-77.3561 +Lafayette,37.233,-80.2051 +Nathalie,36.9381,-78.9421 +Manassas,38.7479,-77.4839 +Mount Sidney,38.2586,-78.9654 +Lakeside,37.6133,-77.4768 +Colonial Beach,38.2565,-76.9784 +Central Point,37.989,-77.1322 +Lowes Island,39.0471,-77.3524 +Suffolk,36.6953,-76.6398 +Burkes Garden,37.0982,-81.3409 +Ivanhoe,36.8428,-80.9683 +Chase City,36.7998,-78.461 +Saint Charles,36.8052,-83.0575 +Clinchport,36.6781,-82.7451 +Blairs,36.6958,-79.3774 +Merrifield,38.8731,-77.2426 +Madison Heights,37.4487,-79.1057 +Deep Creek,37.7631,-75.7551 +Clarksville,36.6172,-78.5639 +Moseley,37.4751,-77.7789 +Hoadly,38.6804,-77.3592 +Mitchelltown,38.0129,-79.8114 +Lovingston,37.7605,-78.8689 +Kent,36.9521,-81.0187 +Independence,36.6254,-81.1511 +Harrisonburg,38.4362,-78.8735 +Melfa,37.6489,-75.7408 +King George,38.2807,-77.1896 +Newtown,38.4154,-78.5981 +Clintwood,37.1507,-82.4568 +White Stone,37.644,-76.3897 +Pembroke,37.3219,-80.6365 +Spring Garden,36.7804,-79.3047 +Rocky Gap,37.2423,-81.1073 +Dublin,37.0987,-80.6831 +Wakefield,36.9686,-76.9875 +Dryden,36.7764,-82.9433 +Elk Hill,37.7176,-78.0875 +Horntown,37.9655,-75.4559 +Low Moor,37.7944,-79.8706 +Gladstone,37.5468,-78.8495 +Oak Grove,38.9845,-77.4174 +Gloucester,37.4138,-76.5255 +Dulles Town Center,39.0265,-77.4196 +Bobtown,37.6493,-75.7998 +Belspring,37.1938,-80.6097 +Fredericksburg,38.2992,-77.4872 +Bealeton,38.5822,-77.7781 +Warrenton,38.7176,-77.7975 +Savage Town,37.55,-75.7983 +Marion,36.8389,-81.5135 +Blue Ridge,37.3783,-79.8206 +Ravensworth,38.8032,-77.2223 +Broadway,38.6082,-78.8017 +McCoy,37.2171,-80.5978 +Bellwood,37.406,-77.4363 +Shawsville,37.1707,-80.2527 +Drewryville,36.7157,-77.3064 +Wyndham,37.6924,-77.6123 +Bridgewater,38.3863,-78.9675 +Weber City,36.6236,-82.5631 +Spring Creek,38.401,-79.0342 +Pratts,38.3476,-78.27 +Pastoria,37.7446,-75.6352 +Union Level,36.7071,-78.2319 +East Lexington,37.8009,-79.416 +Wattsville,37.9304,-75.4953 +Mount Airy,36.9429,-79.1922 +Ferrum,36.9313,-80.0149 +Culpeper,38.4705,-78.0001 +Cloverdale,37.3566,-79.9055 +Fincastle,37.4994,-79.8757 +Triplet,36.6104,-77.7658 +Vinton,37.2745,-79.8888 +Owenton,37.8837,-77.1003 +Meherrin,37.1032,-78.3667 +DeWitt,37.0388,-77.6433 +Pohick,38.7101,-77.1966 +Henry Fork,36.9679,-79.871 +Chester Gap,38.8534,-78.1325 +Pamplin,37.2642,-78.682 +Mount Solon,38.3448,-79.085 +Gate City,36.6401,-82.5782 +Bloxom,37.8292,-75.6214 +McLean,38.9436,-77.1943 +Brambleton,38.9803,-77.5323 +Sweet Briar Station,37.5529,-79.0664 +Blacksburg,37.23,-80.428 +Milford,38.0232,-77.3733 +Pender,38.8707,-77.3689 +Passapatanzy,38.2942,-77.3266 +Castlewood,36.8782,-82.2878 +Portsmouth,36.8468,-76.354 +Newport News,37.1051,-76.5185 +Westlake Corner,37.1234,-79.6971 +Shenandoah Retreat,39.1373,-77.8637 +Sugar Grove,36.7689,-81.4075 +Harriston,38.212,-78.8283 +Cluster Springs,36.6128,-78.9221 +Alberene,37.8865,-78.6164 +Mavisdale,37.1984,-82.0079 +Pauls Crossroads,37.8651,-76.9102 +Irvington,37.6621,-76.4205 +Madisonville,37.1882,-78.69 +Nottoway Court House,37.1271,-78.0734 +Guinea,38.1437,-77.4378 +Timberlake,37.3166,-79.2482 +Spotsylvania Courthouse,38.1982,-77.5885 +Forest,37.3728,-79.2831 +Nelsonia,37.8224,-75.5895 +Weedonville,38.2985,-77.1586 +Oak Hall,37.9307,-75.5469 +Cape Charles,37.257,-76.0093 +Brosville,36.6196,-79.602 +Basye,38.8181,-78.7659 +Paytes,38.2274,-77.8328 +New Kent,37.5095,-76.9862 +South Hill,36.7254,-78.1287 +Gladys,37.1632,-79.0736 +Volens,36.9351,-79.0122 +Hiwassee,36.9682,-80.7044 +Hewlett,37.9224,-77.5764 +Dillwyn,37.5411,-78.4613 +Haymarket,38.8121,-77.6363 +Dranesville,38.9955,-77.3693 +Brentsville,38.6882,-77.4961 +Brookneal,37.0532,-78.9486 +Bluefield,37.2351,-81.2751 +Hollymead,38.1266,-78.4386 +Wellington,38.7457,-77.0553 +Boyce,39.0932,-78.0602 +Plum Creek,37.1268,-80.5047 +South Chesconessex,37.7432,-75.7785 +Mount Jackson,38.7394,-78.6513 +Honaker,37.0156,-81.9685 +Newsoms,36.6262,-77.1248 +Eastville,37.3512,-75.9406 +Fork Union,37.7632,-78.2622 +Marshall,38.8661,-77.8453 +Buckner,37.9621,-77.7728 +Annandale,38.8324,-77.196 +Gasburg,36.5588,-77.8721 +Nickelsville,36.7517,-82.416 +Mechanicsburg,37.1482,-80.9412 +Salem,37.2864,-80.0555 +Linville,38.5204,-78.8375 +Laurel,37.6375,-77.5062 +Leesburg,39.1058,-77.5544 +East Highland Park,37.577,-77.3865 +Palmyra,37.8652,-78.2627 +Walters,36.7724,-76.8494 +Farnham,37.8854,-76.625 +Cheriton,37.292,-75.968 +Warfield,36.8976,-77.8194 +Cumberland,37.4914,-78.2577 +Rockdell,36.8907,-81.9537 +Dooms,38.1028,-78.8494 +Hillsville,36.7613,-80.7372 +Pulaski,37.0528,-80.7624 +Baskerville,36.6844,-78.2732 +Stony Creek,36.948,-77.4 +New Church,37.9826,-75.5292 +Rileyville,38.7651,-78.3881 +Greenbriar,38.8717,-77.397 +Staunton,38.1593,-79.0611 +Mendota,36.7109,-82.3015 +New Market,38.6459,-78.6709 +Edinburg,38.8235,-78.5634 +Fairview,36.8292,-78.4653 +Wylliesburg,36.8554,-78.5903 +Dahlgren,38.3444,-77.0624 +Stuarts Draft,38.0245,-79.0308 +Stephens City,39.0902,-78.223 +Wytheville,36.953,-81.0881 +Middlebrook,38.0552,-79.2182 +Oakton,38.8887,-77.3017 +Covesville,37.8901,-78.7047 +Lyndhurst,38.0221,-78.9516 +Axton,36.6596,-79.712 +Charlotte Court House,37.0563,-78.6377 +Bristow,38.7229,-77.5361 +Champlain,38.0135,-76.9927 +Pantops,38.0308,-78.4444 +Courtland,36.7123,-77.062 +Baileys Crossroads,38.8477,-77.1305 +Goode,37.3588,-79.3917 +Bristol,36.6179,-82.1607 +Ashland,37.7596,-77.4715 +Monroe,37.5021,-79.1278 +Lincolnia,38.8158,-77.1543 +Reston,38.9497,-77.3461 +Five Mile Fork,38.2901,-77.5533 +Hampton,37.0551,-76.3629 +Healing Springs,37.961,-79.8626 +Nassawadox,37.4763,-75.8591 +Halifax,36.7612,-78.9279 +Woodbridge,38.6569,-77.2403 +Alton,36.5732,-79.0028 +Bergton,38.7657,-78.9489 +Reedville,37.8421,-76.2758 +Sandston,37.512,-77.3149 +Starkey,37.2007,-79.9986 +Central Garage,37.7458,-77.1315 +Spring Grove,37.1657,-76.9733 +New Canton,37.7051,-78.2994 +King William,37.6882,-77.0212 +Fort Blackmore,36.7745,-82.5868 +Roanoke,37.2785,-79.958 +Crewe,37.1812,-78.1307 +Williamsburg,37.2693,-76.7076 +Hybla Valley,38.7485,-77.0822 +Yorkshire,38.7882,-77.4495 +The Plains,38.8622,-77.7743 +Buckhall,38.725,-77.4472 +Unionville,38.2599,-77.9683 +Glen Allen,37.666,-77.4838 +Capron,36.7092,-77.2013 +Fishersville,38.1004,-78.9686 +Raven,37.0937,-81.8601 +Sterling,39.0052,-77.405 +Simpsons,37.0379,-80.2045 +Centenary,37.7093,-78.5114 +Narrows,37.3316,-80.8083 +Ewing,36.6381,-83.4291 +Woodburn,38.8503,-77.2322 +Kinsale,38.0296,-76.5808 +Victoria,36.9947,-78.2242 +Callaghan,37.8112,-80.0871 +Shenandoah Shores,38.9621,-78.1414 +Warm Springs,38.0463,-79.7826 +Front Royal,38.926,-78.1838 +Opal,38.6201,-77.8049 +Shawnee Land,39.1976,-78.3464 +Big Island,37.5351,-79.3615 +Trammel,37.0145,-82.2938 +Sebrell,36.7838,-77.1275 +Brandermill,37.434,-77.6522 +Chesterfield,37.3771,-77.5058 +Nelson,36.5624,-78.7047 +Meadowview,36.7604,-81.8629 +Brucetown,39.2545,-78.0667 +Brokenburg,38.1457,-77.7189 +Sudley,38.7878,-77.4961 +Jeffersonton,38.6371,-77.915 +Alexandria,38.8185,-77.0861 +Elmo,36.6765,-79.1222 +Belmont,39.065,-77.4965 +Scottsville,37.8063,-78.4919 +Red Ash,37.1134,-81.871 +Deltaville,37.5525,-76.3331 +Kings Park,38.8026,-77.2396 +Natural Bridge Station,37.621,-79.5059 +South Riding,38.912,-77.5132 +Bull Run,38.7802,-77.5204 +North Shore,37.0778,-79.6518 +Pimmit Hills,38.9105,-77.1991 +Phenix,37.0811,-78.7485 +Gainesville,38.7931,-77.6347 +Woodlawn,36.7385,-80.8166 +Linton Hall,38.7551,-77.575 +Rivanna,38.1249,-78.4608 +Glenvar,37.276,-80.1256 +Norton,36.9314,-82.6262 +Fieldale,36.7009,-79.9424 +Burke,38.7773,-77.2633 +Vienna,38.8996,-77.2597 +Draper,37.0012,-80.7373 +Motley,37.0656,-79.3474 +Spotsylvania,38.201,-77.5892 +Laurel Hill,38.7026,-77.2422 +Paint Bank,37.569,-80.262 +Pocahontas,37.3072,-81.3439 +Lynchburg,37.4003,-79.1908 +Aquia Harbour,38.4597,-77.3806 +Trout Dale,36.7022,-81.4413 +Morrisville,38.5018,-77.7 +Washington,38.7122,-78.1599 +Makemie Park,37.9106,-75.5845 +Chester,37.3531,-77.4342 +Iron Gate,37.7985,-79.7903 +Seven Corners,38.8657,-77.1445 +Seaford,37.1982,-76.433 +Pennington Gap,36.7594,-83.03 +West Point,37.5519,-76.8017 +Madison,38.3794,-78.2586 +Groveton,38.7605,-77.098 +Disputanta,37.1243,-77.2258 +Goochland,37.6973,-77.8944 +Oriskany,37.6165,-79.9837 +Chula,37.3885,-77.9031 +Captains Cove,38.0003,-75.4173 +Lorton,38.6984,-77.2163 +Laymantown,37.3629,-79.8524 +Rich Creek,37.3832,-80.8204 +Amherst,37.5816,-79.0508 +Port Royal,38.1657,-77.1989 +Pleasant Valley,38.9121,-77.4758 +Crozet,38.0645,-78.6962 +Emporia,36.6953,-77.5356 +Midland,38.5984,-77.7213 +Scotland,37.1812,-76.7966 +Greenville,38.0036,-79.1522 +Woodstock,38.875,-78.516 +Fairfield,37.8793,-79.2895 +Ruckersville,38.2314,-78.3756 +Arcola,38.9447,-77.5306 +Dundas,36.9149,-78.0217 +Appomattox,37.3591,-78.8269 +Richlands,37.0879,-81.808 +Floris,38.9347,-77.4082 +Massies Mill,37.7771,-79.0011 +Dayton,38.4173,-78.9412 +Shenandoah Farms,38.9792,-78.0469 +Poquoson,37.1318,-76.3569 +Floyd,36.9118,-80.3184 +North Springfield,38.8024,-77.2028 +Mantua,38.8526,-77.2571 +Painter,37.5852,-75.7837 +Chatmoss,36.6758,-79.7981 +New Castle,37.5013,-80.1119 +Bon Air,37.5187,-77.5713 +Prospect,37.3029,-78.5592 +Bedford,37.336,-79.5179 +Carrsville,36.7088,-76.837 +Union Hall,37.0205,-79.6833 +Hurley,37.4204,-82.0198 +Hartfield,37.5512,-76.4461 +Abingdon,36.7089,-81.9713 +Austinville,36.8512,-80.912 +Tasley,37.7125,-75.6971 +Max Meadows,36.9798,-80.9678 +Franklin,36.6831,-76.9386 +Belmont Estates,38.4465,-78.9228 +Oakpark,38.3668,-78.16 +Bellamy,37.3979,-76.5725 +York Haven Anchorage,37.6654,-78.6946 +Lawrenceville,36.7565,-77.8539 +Hopewell,37.2914,-77.2985 +Tuckahoe,37.5878,-77.5858 +Keysville,37.039,-78.4804 +Jefferson,38.8646,-77.1878 +Grundy,37.2754,-82.0988 +Broadford,36.9273,-81.6726 +Gloucester Courthouse,37.4053,-76.526 +Wilsons,37.1393,-77.8658 +Bentonville,38.8318,-78.3164 +Saltville,36.8751,-81.7642 +Lancaster,37.7675,-76.4549 +Cave Spring,37.2254,-80.0073 +Louisa,38.0212,-77.9985 +Vesuvius,37.9062,-79.1973 +Surry,37.1371,-76.8333 +Remington,38.5346,-77.8083 +Center Cross,37.8046,-76.7788 +Riverview,36.9326,-82.4845 +Gloucester Point,37.2767,-76.5043 +Ararat,36.599,-80.5106 +Alleghany,37.7473,-80.2403 +Jamestown,37.2082,-76.7741 +Hillsboro,39.1995,-77.7247 +Springfield,38.7809,-77.1839 +Callands,36.8201,-79.5867 +Jolivue,38.1149,-79.0668 +Nokesville,38.694,-77.5757 +Cherry Hill,38.5696,-77.2895 +Horse Pasture,36.6313,-79.9514 +Buena Vista,37.7319,-79.3569 +Hollins,37.3434,-79.9534 +Merrimac,37.1904,-80.4244 +Crimora,38.1618,-78.8413 +Tangier,37.8235,-75.9934 +Atlantic,37.9023,-75.5058 +Saint Paul,36.9069,-82.3164 +Bacova,38.054,-79.8437 +Chamberlayne,37.628,-77.4288 +Mount Vernon,38.714,-77.1043 +Snowville,37.026,-80.5739 +Piney River,37.7051,-79.0231 +Yorktown,37.2352,-76.5146 +Lake Ridge,38.6843,-77.3059 +Cedar Bluff,37.0876,-81.7632 +Accomac,37.7196,-75.6674 +Harman,37.2932,-82.2021 +Caylor,36.6306,-83.4944 +Mathews,37.4365,-76.3245 +McMullin,36.8179,-81.5775 +Loch Lomond,38.7811,-77.4817 +Riverdale,36.6764,-78.8943 +Cripple Creek,36.821,-81.0984 +Branchville,36.5697,-77.2501 +King and Queen Court House,37.6683,-76.8782 +Riverton,38.9465,-78.1994 +South Boston,36.7131,-78.9135 +Ruther Glen,37.9287,-77.4558 +Wolf Trap,38.9395,-77.2842 +Clifton,38.7802,-77.3866 +Independent Hill,38.6404,-77.409 +Christiansburg,37.1411,-80.4028 +Onancock,37.7102,-75.7433 +Keller,37.6212,-75.7644 +Colonial Heights,37.265,-77.3969 +Shadwell,38.0129,-78.3956 +Warsaw,37.9603,-76.761 +Highland Acres,39.1164,-75.5216 +Wyoming,39.1147,-75.5631 +Newark,39.6776,-75.7573 +Talleyville,39.809,-75.5488 +Rising Sun,39.1004,-75.5155 +Fenwick Island,38.4604,-75.0542 +Roseville Park,39.6996,-75.713 +Blades,38.6353,-75.6026 +Milford,38.9091,-75.4224 +Stanton,39.7157,-75.6408 +Holly Oak,39.7884,-75.4788 +Christiana,39.6651,-75.6599 +Bridgeville,38.7248,-75.6027 +Greenwood,38.8069,-75.5907 +Saint Georges,39.5577,-75.6533 +Edgemoor,39.7551,-75.507 +Bethany Beach,38.5391,-75.066 +Ogletown,39.6782,-75.6974 +Middletown,39.4452,-75.7165 +Cheswold,39.222,-75.5892 +Newport,39.7136,-75.6052 +Harrington,38.9243,-75.5707 +Dewey Beach,38.6958,-75.0749 +Brookside,39.6666,-75.7153 +Marshallton,39.7257,-75.6541 +Camden,39.0992,-75.557 +Claymont,39.8032,-75.4606 +Milton,38.7751,-75.3104 +Dagsboro,38.5466,-75.2466 +Westover Hills,39.7634,-75.5908 +Slaughter Beach,38.9143,-75.3085 +Frankford,38.5215,-75.2342 +Riverview,39.0293,-75.5202 +Centerville,39.8215,-75.6166 +Millsboro,38.5866,-75.3019 +Holloway Terrace,39.7018,-75.5463 +Townsend,39.3968,-75.6945 +Minquadale,39.7071,-75.5666 +Woodside,39.0712,-75.5667 +Kenton,39.2271,-75.6645 +Rockland,39.7962,-75.5721 +Hartly,39.1685,-75.7129 +Montchanin,39.7898,-75.5891 +Seaford,38.6539,-75.6117 +Kent Acres,39.1328,-75.516 +Pleasantville,39.664,-75.626 +Delmar,38.4651,-75.5552 +Leipsic,39.243,-75.5155 +Magnolia,39.0714,-75.4761 +Greenville,39.7783,-75.6049 +Pike Creek Valley,39.7296,-75.6993 +Bethel,38.5706,-75.6194 +Hockessin,39.7837,-75.6815 +Lewes,38.7784,-75.1455 +Selbyville,38.4627,-75.2083 +Collins Park,39.6862,-75.5563 +Delaware City,39.5743,-75.5939 +Bowers Beach,39.0598,-75.4013 +Little Creek,39.1661,-75.4481 +Fairfax,39.7865,-75.5433 +Wilmington Manor,39.6859,-75.5853 +Lebanon,39.1115,-75.5005 +Laurel,38.5697,-75.5688 +Rehoboth Beach,38.7171,-75.0845 +Ardentown,39.8079,-75.4804 +Farmington,38.8699,-75.579 +Felton,39.0127,-75.5764 +Ardencroft,39.8054,-75.486 +Viola,39.0429,-75.5715 +Glasgow,39.6015,-75.7474 +Odessa,39.4562,-75.6605 +Elsmere,39.7385,-75.5946 +Georgetown,38.6899,-75.3872 +Arden,39.8113,-75.4886 +Bear,39.6188,-75.6804 +Milford Crossroads,39.7157,-75.7408 +Clayton,39.2846,-75.6364 +Rodney Village,39.1284,-75.5395 +Millville,38.5352,-75.129 +Frederica,39.008,-75.4667 +Pike Creek,39.7485,-75.6953 +Wilmington,39.7415,-75.5413 +South Bethany,38.5161,-75.0591 +Bellefonte,39.7669,-75.4982 +Henlopen Acres,38.7257,-75.0849 +Ocean View,38.5357,-75.0991 +Dover,39.1603,-75.5203 +New Castle,39.6685,-75.5693 +Houston,38.9174,-75.5039 +Ellendale,38.8103,-75.425 +Yorklyn,39.8082,-75.6755 +Smyrna,39.2922,-75.6077 +Long Neck,38.6212,-75.152 +North Star,39.755,-75.7331 +Washington,38.9047,-77.0163 +Ixonia,43.1396,-88.5962 +Ridgeway,42.9985,-89.993 +Summit Corners,43.0767,-88.4701 +Colfax,44.997,-91.7264 +Wyeville,44.0279,-90.3861 +Friesland,43.5886,-89.0669 +Hortonville,44.3368,-88.6361 +Merton,43.1423,-88.3088 +Kaukauna,44.2776,-88.2644 +Gotham,43.2225,-90.2969 +Aniwa,45.0117,-89.2089 +South Range,46.608,-91.9835 +Winter,45.8221,-91.013 +Dodge,44.1345,-91.5485 +Oconomowoc,43.0994,-88.4951 +Oakdale,43.962,-90.3789 +Verona,42.9886,-89.5378 +Ella,44.5366,-92.0502 +Wonewoc,43.6531,-90.2239 +Fremont,44.2602,-88.8715 +Platteville,42.7279,-90.4676 +McAllister,45.3272,-87.7212 +Coloma,44.0387,-89.5311 +Strum,44.5532,-91.3875 +Wind Lake,42.823,-88.1573 +Baileys Harbor,45.0659,-87.133 +Nasonville,44.5989,-90.2585 +Pell Lake,42.5381,-88.3509 +Mazomanie,43.1731,-89.7954 +Radisson,45.7685,-91.2179 +Viroqua,43.5582,-90.8863 +Black Hawk,43.2692,-89.9273 +Gibbsville,43.6521,-87.8317 +Pine River,44.1483,-89.0757 +Waterloo,43.1835,-88.99 +Whittlesey,45.2206,-90.3232 +Hancock,44.1333,-89.5209 +Montfort,42.9697,-90.433 +Sugar Bush,44.4816,-88.7359 +Salem Lakes,42.5318,-88.1016 +Pipe,43.9142,-88.3126 +Poplar,46.5828,-91.7836 +Hannibal,45.2525,-90.789 +Kewaskum,43.5177,-88.2306 +Medford,45.1366,-90.3437 +Richland Center,43.3402,-90.384 +Lake Beulah,42.8214,-88.3209 +Kempster,45.2897,-89.1668 +Clyman,43.3116,-88.7231 +Ironton,43.5453,-90.1437 +Rice Lake,45.4864,-91.7447 +Larsen,44.1917,-88.624 +Weyerhaeuser,45.4251,-91.4145 +Iola,44.5091,-89.1249 +New Holstein,43.9491,-88.0942 +Powers Lake,42.5395,-88.2935 +Endeavor,43.7163,-89.4695 +North Fond du Lac,43.8107,-88.4861 +Windsor,43.2398,-89.2966 +Wausaukee,45.378,-87.9552 +Bayside,43.1827,-87.9017 +Almena,45.415,-92.0383 +Winchester,44.1982,-88.6599 +Howard,44.5703,-88.0923 +Lebanon,43.2588,-88.6294 +Christie,44.6472,-90.5965 +Bohners Lake,42.6241,-88.2879 +Hingham,43.6465,-87.9151 +Durand,44.627,-91.9607 +Burlington,42.675,-88.2724 +Collins,44.0827,-87.9839 +Somerset,45.1269,-92.6754 +Chippewa Falls,44.9358,-91.3902 +Townsend,45.3241,-88.5902 +Waupaca,44.3508,-89.072 +Lake Wissota,44.922,-91.3014 +Gleason,45.3089,-89.4965 +Campbellsport,43.5975,-88.2814 +Boyd,44.9533,-91.0398 +Bruce,45.459,-91.2734 +Kellnersville,44.2253,-87.8021 +Port Edwards,44.3484,-89.854 +Valders,44.0696,-87.8859 +Rockland,43.9075,-90.9165 +New Munster,42.5795,-88.2279 +Chilton,44.0293,-88.1625 +Lake Geneva,42.5825,-88.4282 +Cuba City,42.6036,-90.4317 +Saint Joseph,43.7855,-91.0436 +Wrightstown,44.326,-88.1756 +Loretta,45.8855,-90.8529 +Manawa,44.4613,-88.9204 +Arena,43.1636,-89.9104 +Rusk,44.9077,-91.8341 +Port Wing,46.7757,-91.3806 +Buffalo City,44.2237,-91.8654 +Genoa City,42.5065,-88.3193 +Eagle Lake,42.7014,-88.1291 +Heafford Junction,45.5472,-89.7154 +Silver Lake,42.5489,-88.1668 +Fitchburg,42.9859,-89.4255 +Rib Lake,45.3196,-90.2031 +Spencer,44.7544,-90.2983 +Haugen,45.6078,-91.7789 +Saukville,43.3847,-87.9439 +Merrill,45.1818,-89.7006 +Mineral Point,42.8628,-90.182 +Monona,43.054,-89.3334 +Almond,44.2607,-89.4087 +Hatfield,44.4164,-90.7409 +Tustin,44.1698,-88.896 +Beaver Dam,43.4688,-88.8311 +Oconomowoc Lake,43.0975,-88.4521 +Paddock Lake,42.5707,-88.1044 +Greenleaf,44.317,-88.0972 +Mackville,44.3436,-88.4151 +Marquette,43.7464,-89.1384 +Little Chute,44.2889,-88.3183 +Baldwin,44.9541,-92.371 +Omro,44.0391,-88.7378 +Green Valley,44.7969,-88.2682 +Mountain,45.1864,-88.4681 +Rio Creek,44.5892,-87.5412 +Symco,44.5133,-88.904 +Neshkoro,43.9653,-89.2157 +Thornton,44.7986,-88.6913 +Mount Pleasant,42.7129,-87.8873 +Mindoro,44.0211,-91.1018 +Canton,45.428,-91.6599 +Johnsburg,43.8772,-88.2898 +Eleva,44.5763,-91.4704 +Johnstown Center,42.6958,-88.8396 +Black Earth,43.1344,-89.7469 +Dale,44.2757,-88.6729 +Shorewood,43.0914,-87.8864 +Columbus,43.3354,-89.03 +Buena Vista,43.0656,-88.3518 +Danbury,46.0088,-92.3777 +Seymour,44.5142,-88.3271 +Kieler,42.5823,-90.6051 +Biron,44.4281,-89.766 +Phlox,45.0511,-89.0143 +Fox Crossing,44.2226,-88.4894 +Packwaukee,43.7652,-89.4599 +Eastman,43.1622,-91.0254 +Junction City,44.5929,-89.7679 +Avoca,43.1906,-90.326 +Gillett,44.8897,-88.3064 +Manitowish,46.133,-90.0135 +Greenbush,43.7778,-88.0902 +Rudolph,44.4972,-89.8018 +Withee,44.9508,-90.5989 +Adams,43.9554,-89.8169 +Gratiot,42.5798,-90.0238 +Denmark,44.3492,-87.8313 +Beloit,42.523,-89.0184 +Melvina,43.8024,-90.7815 +Wilmot,42.5086,-88.1864 +Genoa,43.5734,-91.2261 +Montreal,46.4312,-90.2382 +Wanderoos,45.3086,-92.4944 +Monterey,43.1711,-88.4995 +Plainville,43.7089,-89.8126 +Mount Zion,43.2566,-90.7337 +Greenfield,42.9619,-88.0051 +Fredonia,43.4715,-87.9489 +Saint Cloud,43.8245,-88.1687 +Greendale,42.9371,-88.0018 +Trego,45.9049,-91.8286 +Brill,45.6027,-91.6721 +Spooner,45.8271,-91.886 +Brodhead,42.6168,-89.3757 +Carlsville,44.9517,-87.3368 +Browns Lake,42.6908,-88.2308 +Turtle Lake,45.3934,-92.1451 +La Farge,43.5782,-90.6381 +Utica,43.0222,-88.4848 +Sharon,42.5048,-88.7395 +Owen,44.9485,-90.5621 +Poy Sippi,44.136,-88.9963 +Forestville,44.6907,-87.4787 +Arkdale,44.0252,-89.8862 +Suamico,44.6352,-88.0664 +Pewaukee,43.0854,-88.2525 +Park Falls,45.9348,-90.4463 +Plainfield,44.2175,-89.497 +Edmund,42.9662,-90.2644 +Mount Tabor,43.7005,-90.4543 +Deerbrook,45.2336,-89.1557 +Bay City,44.5872,-92.4573 +Coleman,45.0695,-88.0348 +Fond du Lac,43.772,-88.4396 +Eagle,42.879,-88.4696 +Hartland,43.1027,-88.34 +Lakewood,45.3006,-88.5145 +Saint Nazianz,44.0067,-87.9246 +Lake Nebagamon,46.512,-91.6995 +Taycheedah,43.8122,-88.3914 +Clayton,45.326,-92.171 +Edgerton,42.8385,-89.0698 +Hartford,43.3218,-88.3781 +Cedar Grove,43.5682,-87.8243 +Langes Corners,44.3855,-87.8609 +Hilbert,44.1419,-88.1607 +Elkhorn,42.6711,-88.5377 +Lake Koshkonong,42.8838,-88.9424 +Hanover,42.6389,-89.1713 +Valton,43.573,-90.2743 +Siren,45.7826,-92.3823 +Van Buskirk,46.3872,-90.1435 +Newry,43.7116,-90.8174 +Rhinelander,45.6361,-89.4256 +Nelsonville,44.4937,-89.309 +Cazenovia,43.5237,-90.1991 +Glen Haven,42.8313,-91.0633 +Williams Bay,42.577,-88.5432 +Tainter Lake,44.9882,-91.8437 +Baraboo,43.4696,-89.7378 +Wild Rose,44.1788,-89.2442 +Lampson,45.983,-91.8163 +Wabeno,45.4394,-88.6581 +Bell Center,43.2916,-90.8256 +Peshtigo,45.0556,-87.7476 +Plover,44.4614,-89.5383 +Briggsville,43.655,-89.5854 +Benoit,46.5019,-91.0769 +Rozellville,44.7433,-90.0246 +Chaseburg,43.6598,-91.0971 +Waukau,43.9862,-88.7706 +Sobieski,44.7227,-88.0659 +Connorsville,45.1361,-92.0949 +Janesville,42.6855,-89.0136 +Lake Shangrila,42.5053,-88.0706 +Lake Wazeecha,44.3709,-89.7552 +Hustler,43.8773,-90.2658 +Brackett,44.7013,-91.351 +Necedah,44.0234,-90.0716 +Sayner,45.991,-89.5332 +Dunbar,45.647,-88.1753 +Norwalk,43.8342,-90.6269 +Arlington,43.335,-89.3725 +Land O' Lakes,46.1613,-89.2187 +Twin Lakes,42.5192,-88.2489 +Marinette,45.0873,-87.6324 +Milltown,45.5264,-92.5011 +New Lisbon,43.8781,-90.1627 +Phillips,45.6958,-90.4018 +Wilson,44.9586,-92.1705 +Ontario,43.7222,-90.5941 +Warrens,44.1287,-90.5157 +Pleasant Prairie,42.5265,-87.8895 +Blueberry,46.5802,-91.6688 +Lodi,43.3151,-89.5371 +Maplewood,44.7475,-87.4793 +Irma,45.3514,-89.6665 +Muskego,42.886,-88.1291 +Manitowoc,44.0991,-87.6811 +Suring,45.0007,-88.3693 +Frederic,45.6548,-92.4647 +Brooks,43.8253,-89.6446 +Kronenwetter,44.8164,-89.5807 +Nichols,44.5672,-88.4677 +Emerald,45.0833,-92.2579 +Little Rapids,44.3803,-88.1273 +Centuria,45.4497,-92.5579 +Alderley,43.2175,-88.4498 +Lake Hallie,44.8921,-91.42 +Haven,43.8483,-87.7534 +Wyocena,43.4931,-89.3099 +Rosendale,43.8079,-88.6731 +Stone Lake,45.8444,-91.5501 +Ladysmith,45.4607,-91.0972 +Birchwood,45.6577,-91.5507 +Augusta,44.6784,-91.1203 +Oxford,43.7797,-89.5624 +Rome,42.9823,-88.6389 +Gordon,46.2409,-91.7995 +Kenosha,42.5863,-87.8759 +Gagen,45.6625,-89.1382 +Webster,45.8798,-92.3628 +Cavour,45.6522,-88.6296 +Union Center,43.6826,-90.2635 +Doering,45.2352,-89.4582 +Slinger,43.3317,-88.2799 +Pardeeville,43.5359,-89.301 +Argyle,42.7014,-89.8658 +Balsam Lake,45.4585,-92.4529 +Granton,44.5887,-90.4615 +Wauzeka,43.0851,-90.8995 +Hager City,44.6012,-92.5336 +Bancroft,44.3093,-89.5071 +Abbotsford,44.9437,-90.3148 +Holcombe,45.2261,-91.1217 +Waumandee,44.3023,-91.7051 +McNaughton,45.7325,-89.5443 +Hixton,44.3831,-91.0151 +Stanley,44.9596,-90.943 +Wiota,42.6367,-89.9493 +Darien,42.6007,-88.713 +Germania,43.8905,-89.2571 +Elton,45.1683,-88.8865 +Elroy,43.742,-90.2705 +Lake Tomahawk,45.811,-89.5873 +Wheeler,45.0441,-91.9037 +Long Lake,45.843,-88.6674 +Willard,44.735,-90.7193 +Tripoli,45.5552,-89.994 +Yellow Lake,45.9366,-92.3902 +Jefferson,43.0044,-88.8084 +Hales Corners,42.941,-88.0491 +Superior Village,46.6569,-92.1044 +Peru,44.57,-89.2434 +Elmwood Park,42.6917,-87.8223 +Caroline,44.722,-88.8948 +Wittenberg,44.827,-89.1665 +Dresser,45.3617,-92.6345 +Evergreen,44.8425,-89.6376 +Theresa,43.5164,-88.454 +Woodman,43.0925,-90.797 +Reedsville,44.1525,-87.9517 +Dorchester,45.0025,-90.3308 +Sussex,43.1339,-88.2232 +Lac La Belle,43.1428,-88.5302 +Wind Point,42.7814,-87.772 +Union Grove,42.6869,-88.0502 +New Franken,44.5308,-87.8259 +Upson,46.3691,-90.4068 +Mukwonago,42.8566,-88.327 +Joel,45.3605,-92.2346 +Lake Ripley,43.0045,-88.9829 +Juda,42.59,-89.5092 +Watertown,43.1893,-88.7285 +Ripon,43.8436,-88.8386 +Woodford,42.6476,-89.8598 +Hollister,45.248,-88.7915 +Westfield,43.8851,-89.4926 +Green Lake,43.8437,-88.9566 +Lac du Flambeau,45.9696,-89.8995 +Bloomer,45.103,-91.4913 +New Glarus,42.813,-89.6337 +Cambridge,43.0071,-89.0214 +Clinton,42.5574,-88.8679 +Egg Harbor,45.0528,-87.2826 +Rewey,42.8419,-90.3961 +Onalaska,43.888,-91.2074 +Dayton,42.8269,-89.5132 +Batavia,43.5944,-88.0509 +North Bay,42.7645,-87.781 +Grantsburg,45.7813,-92.6836 +Middleton,43.1064,-89.5059 +Winneconne,44.1112,-88.7115 +Blanchardville,42.8095,-89.8606 +Butternut,46.0138,-90.4988 +Amery,45.3045,-92.3635 +Allenville,44.133,-88.619 +Newburg,43.4321,-88.0476 +Keshena,44.8697,-88.6002 +Gilman,45.1662,-90.8072 +Herbster,46.8421,-91.2419 +Ashland,46.5801,-90.8715 +Curtiss,44.9521,-90.435 +Bethesda,42.9878,-88.3184 +Waterford,42.7647,-88.2159 +Rochester,42.7338,-88.2489 +Hatley,44.8866,-89.3371 +Ogema,45.451,-90.2927 +Orfordville,42.6294,-89.2572 +Delavan,42.6281,-88.6324 +Deerfield,43.0492,-89.0762 +Gays Mills,43.322,-90.8489 +Sparta,43.9376,-90.813 +Crandon,45.5686,-88.8973 +De Forest,43.232,-89.3424 +Medina,44.2728,-88.6379 +Gilmanton,44.4738,-91.6785 +Wilton,43.8132,-90.5268 +Belgium,43.5019,-87.8476 +White Lake,45.1617,-88.7704 +Boardman,45.0655,-92.5999 +De Soto,43.4283,-91.1963 +Laona,45.5597,-88.6697 +La Crosse,43.8241,-91.2268 +Hobart,44.4965,-88.1602 +Millston,44.1885,-90.6447 +Burnett,43.5064,-88.7083 +Little Round Lake,45.9697,-91.367 +Carter,45.3908,-88.6279 +Northport,44.4082,-88.8038 +Whitewater,42.8372,-88.7341 +Pound,45.0956,-88.0334 +Woodville,44.9484,-92.2852 +Horicon,43.4453,-88.6399 +Sister Bay,45.1835,-87.1271 +Stevens Point,44.5241,-89.5508 +Chenequa,43.1229,-88.3838 +Vaudreuil,44.3064,-90.8099 +West Bloomfield,44.2208,-88.9718 +Helenville,43.0165,-88.6999 +Sandy Hook,42.5466,-90.6168 +Cecil,44.8107,-88.4485 +Kewaunee,44.4607,-87.5133 +Neopit,44.9877,-88.8227 +Hines,46.543,-91.9082 +Oliver,46.6493,-92.1883 +Prairie du Chien,43.0434,-91.1383 +Martinsville,43.1803,-89.5901 +Tigerton,44.7409,-89.0459 +Clear Lake,45.2492,-92.2675 +River Hills,43.1717,-87.9353 +Kimberly,44.267,-88.3377 +Goodman,45.6231,-88.3518 +Harshaw,45.6655,-89.6554 +Sun Prairie,43.1829,-89.2353 +Big Bend,42.9024,-88.2123 +Ephraim,45.1589,-87.1667 +Prairie du Sac,43.292,-89.7352 +Oshkosh,44.0228,-88.5616 +Edgewood,43.0625,-88.3018 +Evansville,42.7781,-89.2967 +Marengo,46.4219,-90.8081 +Marshfield,44.6627,-90.1728 +Ingram,45.5056,-90.8137 +Potter Lake,42.8196,-88.3487 +Winnebago,44.0758,-88.5251 +Grafton,43.3204,-87.948 +Casco,44.5557,-87.6197 +Cudahy,42.9467,-87.8639 +Elderon,44.7843,-89.248 +Sheboygan,43.7447,-87.7322 +Bloom City,43.4944,-90.4649 +Stitzer,42.9267,-90.6232 +Caledonia,42.7987,-87.8762 +Little Sturgeon,44.8422,-87.5743 +Clearwater Lake,45.8536,-89.1882 +Black Creek,44.4741,-88.4507 +Kennan,45.5301,-90.5868 +Dellwood,43.9544,-89.9341 +Saint Croix Falls,45.4101,-92.6268 +Ellison Bay,45.2551,-87.0729 +East Troy,42.7848,-88.3973 +Wautoma,44.0669,-89.2915 +Benton,42.5701,-90.383 +Loyal,44.7366,-90.4959 +Eagleton,45.0602,-91.3893 +Thorp,44.958,-90.8023 +Cutler,44.0258,-90.2368 +Menomonee Falls,43.1487,-88.1227 +Leland,43.3355,-89.9476 +Rock Springs,43.479,-89.9177 +Luck,45.5718,-92.4667 +Rothschild,44.8761,-89.6173 +Riplinger,44.825,-90.4032 +Fall River,43.3856,-89.0456 +Lewis,45.7159,-92.3965 +Kingston,43.6935,-89.1304 +Fennimore,42.9793,-90.6491 +Weston,44.8906,-89.5487 +Mayville,43.4986,-88.5475 +Iron Belt,46.403,-90.3192 +Marathon,44.9338,-89.8404 +Amherst Junction,44.4685,-89.317 +Germantown,43.2343,-88.1217 +Menominee,44.8893,-91.9085 +Boyceville,45.0427,-92.0384 +Ellsworth,44.7364,-92.4806 +Steuben,43.1833,-90.8569 +Brillion,44.1755,-88.0708 +New London,44.395,-88.7393 +Hammond,44.969,-92.438 +Reedsburg,43.5345,-89.9971 +Elkhart Lake,43.8321,-88.0147 +North Hudson,44.9974,-92.7565 +Tichigan,42.8088,-88.215 +Port Washington,43.3847,-87.8852 +Doylestown,43.4276,-89.1457 +Middle Village,44.9347,-88.7334 +Fairwater,43.7424,-88.868 +Drummond,46.3436,-91.25 +Maiden Rock,44.566,-92.3083 +Sullivan,43.0118,-88.5903 +Genesee Depot,42.9667,-88.3712 +Independence,44.3328,-91.4172 +Kiel,43.9167,-88.0266 +Westby,43.653,-90.8584 +Mount Horeb,43.006,-89.7317 +Lake Wisconsin,43.3782,-89.5763 +Random Lake,43.5541,-87.9548 +Whitelaw,44.1452,-87.8281 +Rib Mountain,44.9196,-89.6771 +Forest Junction,44.2139,-88.1496 +West Milwaukee,43.0124,-87.971 +Liberty Pole,43.49,-90.9087 +Camp Douglas,43.9197,-90.2697 +Tomahawk,45.4746,-89.7228 +Dodgeville,42.966,-90.1297 +Benderville,44.6114,-87.8551 +Waubeka,43.4702,-87.9921 +Navarino,44.6108,-88.4936 +Clam Lake,46.1579,-90.9056 +Trempealeau,44.0028,-91.4285 +Loganville,43.4387,-90.0371 +Sauk City,43.2721,-89.7306 +Fountain City,44.1201,-91.6969 +Sextonville,43.2797,-90.2922 +Pilsen,44.4436,-87.7251 +Oneida,44.4986,-88.1829 +Legend Lake,44.8909,-88.544 +Lomira,43.5945,-88.4421 +Dickeyville,42.6249,-90.5915 +Fall Creek,44.7639,-91.2783 +Mattoon,45.0046,-89.0411 +Shiocton,44.4449,-88.5768 +Namekagon,46.2127,-91.0455 +South Milwaukee,42.9119,-87.8624 +Astico,43.333,-88.9398 +Rio,43.4497,-89.2388 +Menchalville,44.2258,-87.8823 +Elm Grove,43.048,-88.0867 +Marion,44.6744,-88.8902 +Darlington,42.6779,-90.1189 +Daleyville,42.915,-89.8148 +Dalton,43.6562,-89.2069 +Johnson Creek,43.0812,-88.7702 +Cadott,44.9502,-91.1532 +Kekoskee,43.5269,-88.5616 +Mondovi,44.5712,-91.6667 +Springbrook,45.9468,-91.6891 +Jackson,43.3244,-88.1668 +Maribel,44.2775,-87.8025 +Fontana,42.5514,-88.5751 +Tisch Mills,44.3272,-87.6237 +Bayfield,46.8141,-90.8226 +Francis Creek,44.2005,-87.7208 +Unity,44.8511,-90.3131 +Foster,44.643,-91.3118 +Lohrville,44.0382,-89.1201 +Butler,43.1085,-88.0713 +Leyden,42.7308,-89.129 +Fenwood,44.8658,-90.0146 +Clintonville,44.6222,-88.7513 +Appleton,44.2774,-88.3894 +Linden,42.9186,-90.2742 +Boaz,43.3299,-90.5277 +La Valle,43.583,-90.1304 +Glen Flora,45.497,-90.8935 +Diamond Bluff,44.649,-92.6189 +Blair,44.3083,-91.2425 +Shullsburg,42.5733,-90.2348 +Oregon,42.9252,-89.3887 +Brookfield,43.064,-88.1232 +Walworth,42.5305,-88.594 +Boulder Junction,46.1126,-89.6452 +Berlin,43.9704,-88.9505 +Cambria,43.5416,-89.1108 +Chief Lake,45.9213,-91.3312 +West Salem,43.8989,-91.0882 +Barneveld,43.0117,-89.8969 +Jim Falls,45.0472,-91.2712 +Monticello,42.7455,-89.5899 +King,44.34,-89.1231 +Soldiers Grove,43.3921,-90.7735 +Franksville,42.76,-87.9134 +Spring Valley,44.8502,-92.2435 +Ashippun,43.2182,-88.5159 +South Superior,46.6694,-92.0952 +Edgar,44.9227,-89.9635 +Cochrane,44.2281,-91.8391 +Dousman,43.0076,-88.4768 +Chain O' Lakes,44.3318,-89.1671 +Nekoosa,44.3135,-89.9073 +Hollandale,42.8756,-89.9342 +Dane,43.2499,-89.4996 +Cottage Grove,43.0913,-89.2023 +Friendship,43.972,-89.8202 +Borth,44.0911,-88.8959 +Cornucopia,46.8567,-91.1083 +Krakow,44.7585,-88.2611 +Cushing,45.5705,-92.651 +Arpin,44.5394,-90.0315 +Adell,43.6214,-87.9482 +Stratford,44.8009,-90.0722 +Glidden,46.1346,-90.5721 +Vesper,44.4805,-89.9676 +Stetsonville,45.0772,-90.3143 +Tunnel City,44.005,-90.5679 +Lancaster,42.8474,-90.7065 +Saint Francis,42.9716,-87.873 +Reserve,45.8338,-91.3545 +Rockdale,42.9717,-89.0319 +Elcho,45.4353,-89.1853 +Muscoda,43.1872,-90.4335 +Sheboygan Falls,43.7289,-87.8266 +Camp Lake,42.5279,-88.1436 +Lake Delton,43.5936,-89.7845 +Sherwood,44.1764,-88.2757 +Argonne,45.6582,-88.8777 +Solon Springs,46.3495,-91.8208 +Cobb,42.9661,-90.3296 +Leopolis,44.7654,-88.8447 +Eagle River,45.9245,-89.2562 +Prentice,45.5408,-90.2898 +Lily,45.3069,-88.854 +Lake Five,43.1925,-88.2709 +Wentworth,46.5999,-91.836 +West Baraboo,43.4814,-89.7719 +De Pere,44.4313,-88.0793 +Stoughton,42.9237,-89.2219 +Loyd,43.423,-90.2429 +North Prairie,42.9357,-88.4038 +Plat,43.2078,-88.2809 +Fish Creek,45.1278,-87.2471 +Brooklyn,42.8524,-89.3723 +Waterville,43.02,-88.4382 +Dotyville,43.7522,-88.2609 +Conrath,45.3842,-91.0357 +Footville,42.6715,-89.2084 +Couderay,45.7976,-91.3005 +Fairchild,44.6036,-90.9577 +Princeton,43.8527,-89.1305 +Schofield,44.9147,-89.6158 +West Allis,43.0068,-88.0296 +Stevenstown,44.0364,-91.1715 +High Bridge,46.3888,-90.7363 +Livingston,42.9001,-90.4336 +Readstown,43.4485,-90.759 +Butte des Morts,44.1059,-88.6564 +Monches,43.1911,-88.3437 +Oostburg,43.6238,-87.7889 +New Post,45.8965,-91.193 +Tomah,43.9883,-90.4996 +Big Falls,44.6175,-89.0166 +Marshall,43.1726,-89.0614 +Potosi,42.6875,-90.7108 +Saint Peter,43.8377,-88.3465 +Downsville,44.771,-91.9259 +Altoona,44.803,-91.4386 +Niagara,45.7801,-87.9991 +Harrison,44.1923,-88.2913 +Cleveland,43.9177,-87.7469 +Rockfield,43.2575,-88.1262 +Mercer,46.1635,-90.0528 +Holmen,43.9702,-91.269 +Werley,43.0194,-90.7654 +Allouez,44.4721,-88.0261 +Spread Eagle,45.8819,-88.1399 +Hustisford,43.3458,-88.6048 +Cumberland,45.5358,-92.0259 +Arnott,44.4572,-89.4468 +Maple Bluff,43.1131,-89.3718 +Barronett,45.6363,-91.9942 +Athens,45.0349,-90.0792 +Iron River,46.567,-91.407 +Yuba,43.5364,-90.4267 +Pulaski,44.6684,-88.2353 +Pearson,45.3641,-89.0165 +Wisconsin Dells,43.6337,-89.7752 +Viola,43.507,-90.6735 +Cassville,42.7156,-90.9897 +Scandinavia,44.4608,-89.146 +Fox Point,43.1581,-87.9013 +Lowell,43.3363,-88.8183 +Valley,43.6416,-90.5418 +Abrams,44.7796,-88.0605 +Cable,46.2013,-91.2933 +West Bend,43.4184,-88.1822 +Woodruff,45.8946,-89.6912 +Mount Hope,42.9696,-90.8591 +Lannon,43.1522,-88.1604 +Lynxville,43.2493,-91.0464 +Galesville,44.0839,-91.358 +Fairview,43.368,-90.9429 +Blue River,43.1844,-90.5718 +Embarrass,44.6684,-88.7037 +Combined Locks,44.2643,-88.3064 +Waukesha,43.0087,-88.2464 +Pickett,43.9114,-88.7298 +Alma,44.3366,-91.9222 +Institute,44.8933,-87.287 +Bear Creek,44.5313,-88.7275 +Thiensville,43.2361,-87.9785 +Howards Grove,43.8261,-87.8232 +Iron Ridge,43.3982,-88.532 +Polonia,44.5756,-89.4118 +Bristol,42.5378,-88.0149 +Mosinee,44.7874,-89.6839 +Glendale,43.1288,-87.9277 +Monroe,42.6026,-89.6374 +Eureka,44.0072,-88.8426 +Bluffview,43.3641,-89.773 +Whiting,44.4907,-89.56 +Two Rivers,44.1564,-87.5824 +Wisconsin Rapids,44.3928,-89.8265 +Whitehall,44.3705,-91.3476 +Gresham,44.8478,-88.7855 +Mount Calvary,43.8263,-88.2461 +Maine,45.0504,-89.6826 +Chetek,45.316,-91.6533 +Pulcifer,44.8476,-88.3592 +Minocqua,45.8788,-89.7033 +Milwaukee,43.064,-87.9669 +Washburn,46.6769,-90.9017 +Randolph,43.5396,-89.0029 +Algoma,44.6057,-87.4464 +Nelson,44.4214,-92.0045 +Pigeon Falls,44.4246,-91.2082 +Albany,42.7069,-89.4367 +Ogdensburg,44.4535,-89.0316 +Mount Sterling,43.3163,-90.9292 +Stonebank,43.1425,-88.4107 +Spring Green,43.1776,-90.0688 +Sheldon,45.3119,-90.9567 +Antigo,45.1415,-89.1556 +Colby,44.9107,-90.3159 +Cooksville,42.8353,-89.2407 +Tilleda,44.8155,-88.9125 +Bloomington,42.8932,-90.9264 +Browntown,42.5788,-89.7894 +Bellevue,44.4593,-87.9554 +Custer,44.5105,-89.4262 +Auburndale,44.6266,-90.0144 +Glenwood City,45.057,-92.1715 +Richwood,43.2414,-88.7832 +Van Dyne,43.8862,-88.5012 +Downing,45.0498,-92.1243 +Foxboro,46.4986,-92.288 +Mequon,43.2352,-87.9838 +Post Lake,45.4352,-89.0921 +Catawba,45.5371,-90.5335 +Three Lakes,45.8047,-89.1708 +Greenwood,44.7655,-90.5988 +Nashotah,43.0938,-88.4037 +Boscobel,43.1436,-90.6955 +Shorewood Hills,43.0788,-89.447 +Cashton,43.7411,-90.7869 +Roberts,44.9732,-92.5506 +Tonet,44.5892,-87.7337 +Ridgeland,45.2025,-91.8965 +Fort Atkinson,42.9253,-88.8441 +Hertel,45.8086,-92.1752 +Big Spring,43.6694,-89.6437 +Moquah,46.5705,-91.0832 +Weyauwega,44.324,-88.9332 +Oconto Falls,44.8738,-88.1444 +Dyckesville,44.6404,-87.7656 +Black River Falls,44.2981,-90.8421 +Menasha,44.2125,-88.4271 +Mole Lake,45.4859,-88.9823 +Pepin,44.4423,-92.1482 +Belmont,42.7379,-90.3346 +Grand Marsh,43.8852,-89.7072 +Coon Valley,43.7024,-91.0112 +Lublin,45.0749,-90.7238 +London,43.0478,-89.0129 +Sturgeon Bay,44.8228,-87.366 +Pelican Lake,45.4994,-89.1668 +Elmwood,44.7799,-92.1491 +Potter,44.1202,-88.0991 +Sheridan,44.3958,-89.1982 +Brandon,43.7352,-88.7822 +Okauchee,43.1136,-88.4359 +North Freedom,43.459,-89.8603 +Merrillan,44.4504,-90.8355 +Melrose,44.1316,-90.9969 +Wales,43.0041,-88.374 +White Creek,43.8258,-89.8548 +Newald,45.7396,-88.7004 +Luxemburg,44.5449,-87.7065 +Zoar,45.0178,-88.8945 +Prairie Farm,45.2368,-91.9804 +Glenbeulah,43.7982,-88.0465 +Barron,45.4015,-91.8475 +Blue Mounds,43.0178,-89.8268 +Patch Grove,42.9404,-90.9723 +Markesan,43.7099,-88.9907 +Jump River,45.3555,-90.7966 +Knowles,43.5728,-88.5043 +Euren,44.6183,-87.6023 +Northwoods Beach,45.9141,-91.4035 +Mason,46.4354,-91.06 +Oakfield,43.6843,-88.5476 +Bryant,45.208,-89.024 +Birnamwood,44.9319,-89.2094 +Arcadia,44.2486,-91.4921 +Alma Center,44.437,-90.9128 +Eden,43.6928,-88.3642 +Whitefish Bay,43.1132,-87.9004 +Jericho,42.8783,-88.4229 +Neosho,43.3101,-88.5192 +Lena,44.953,-88.0476 +Tennyson,42.6907,-90.6869 +Pence,46.4104,-90.2695 +Cascade,43.6598,-88.0075 +Range,45.3955,-92.2846 +Deer Park,45.1887,-92.3879 +Albertville,44.96,-91.6004 +Brownsville,43.6145,-88.495 +Waunakee,43.1833,-89.4433 +Kendall,43.7926,-90.3677 +Madison,43.0808,-89.3922 +Taylor,44.3217,-91.1205 +Brule,46.5589,-91.5712 +Oak Creek,42.8803,-87.9008 +Wayside,44.2553,-87.9526 +Wausau,44.9615,-89.6436 +Shawano,44.7749,-88.5844 +Meridean,44.738,-91.791 +Bangor,43.8921,-90.989 +Ashwaubenon,44.4795,-88.0889 +Amherst,44.4474,-89.2832 +Cameron,45.4057,-91.7423 +Summit Lake,45.3759,-89.2045 +Knowlton,44.7189,-89.6803 +Delavan Lake,42.5987,-88.6177 +Angelica,44.675,-88.3216 +Hawkins,45.5114,-90.7148 +Brown Deer,43.1743,-87.975 +Dallas,45.2591,-91.8142 +Cornell,45.1632,-91.1497 +Oconto,44.8918,-87.8692 +Postville,42.7992,-89.7529 +Arkansaw,44.6334,-92.0222 +Prescott,44.7522,-92.7882 +South Wayne,42.5673,-89.8761 +Cross Plains,43.1147,-89.648 +Brokaw,45.0274,-89.6573 +Dundas,44.2342,-88.1984 +Saxon,46.4941,-90.41 +Ada,43.8769,-87.8956 +Brantwood,45.5627,-90.1151 +Crivitz,45.2337,-88.0067 +Pella,44.7426,-88.8224 +Calamine,42.7425,-90.1621 +French Island,43.8593,-91.2614 +Racine,42.7274,-87.8135 +Richfield,43.2372,-88.2413 +Osseo,44.5795,-91.212 +Redgranite,44.0513,-89.1058 +Waupun,43.6314,-88.7379 +Esofea,43.6311,-90.9632 +Campia,45.5375,-91.6657 +Humbird,44.5294,-90.8861 +Stoddard,43.6625,-91.218 +Lake Mills,43.0774,-88.9055 +Bonduel,44.7383,-88.4475 +McFarland,43.019,-89.292 +Como,42.6114,-88.4914 +Superior,46.6941,-92.0823 +Chili,44.6296,-90.3583 +Dexterville,44.3764,-90.1107 +North Cape,42.7786,-88.0709 +Shell Lake,45.7322,-91.9033 +Milladore,44.6057,-89.8549 +Green Bay,44.515,-87.9896 +Waldo,43.6766,-87.9478 +Ettrick,44.1696,-91.2651 +Knapp,44.9514,-92.0769 +Hurley,46.4468,-90.1993 +Red Cliff,46.8555,-90.788 +Osceola,45.3193,-92.6936 +Mellen,46.324,-90.6607 +Belleville,42.8642,-89.5402 +Franklin,42.8854,-88.0104 +Palmyra,42.8811,-88.5999 +Yorkville,42.742,-88.0268 +Highland,43.0475,-90.3801 +Chelsea,45.2926,-90.3054 +Cataract,44.0867,-90.8384 +Ferryville,43.3516,-91.0935 +Pittsville,44.439,-90.1301 +Pembine,45.6367,-87.9918 +Delafield,43.072,-88.3913 +Allenton,43.4204,-88.3443 +Anston,44.6172,-88.1604 +Lunds,44.6994,-88.5454 +Hebron,42.9232,-88.6916 +New Richmond,45.1226,-92.5338 +Grand View,46.3681,-91.1035 +Caryville,44.7513,-91.6746 +Milan,44.9811,-90.1796 +Monroe Center,44.1119,-89.9396 +Tony,45.4804,-90.9971 +Florence,45.925,-88.2525 +Colgate,43.1931,-88.2068 +Eland,44.867,-89.209 +Kellner,44.3589,-89.7248 +Lone Rock,43.1857,-90.2012 +Portage,43.549,-89.4659 +Hudson,44.964,-92.7319 +Odanah,46.6121,-90.6992 +Amberg,45.5062,-87.9874 +Price,44.5816,-91.0546 +Rosholt,44.6304,-89.3054 +Mishicot,44.2303,-87.6422 +Stockbridge,44.0717,-88.3105 +Elk Mound,44.8744,-91.6863 +Houlton,45.0632,-92.7908 +Hillsboro,43.656,-90.3365 +Springfield,42.6407,-88.4135 +Hewitt,44.6425,-90.1048 +Exeland,45.6669,-91.2425 +Montello,43.7939,-89.3336 +Wauwatosa,43.0615,-88.0347 +Kohler,43.7363,-87.7794 +Neenah,44.1671,-88.4761 +Hazel Green,42.5341,-90.4362 +Somers,42.6411,-87.8919 +Merrimac,43.3741,-89.6273 +Okauchee Lake,43.1248,-88.4408 +Avalon,42.6328,-88.8676 +Babcock,44.3044,-90.1076 +River Falls,44.86,-92.6221 +Minong,46.0978,-91.8263 +Reeseville,43.3062,-88.8446 +Plain,43.2779,-90.0423 +Star Prairie,45.1975,-92.5321 +Lime Ridge,43.4676,-90.1577 +Hayward,46.0094,-91.4826 +Brice Prairie,43.9375,-91.3074 +Bagley,42.9013,-91.0974 +Milton,42.7752,-88.9431 +Lyndon Station,43.7088,-89.8937 +Bowler,44.8627,-88.9814 +Poynette,43.3922,-89.4058 +Sturtevant,42.7005,-87.9021 +Gills Rock,45.29,-87.0218 +Patzau,46.4913,-92.2208 +Fox Lake,43.5619,-88.913 +Hillsdale,45.3158,-91.8596 +Plymouth,43.7451,-87.9655 +Park Ridge,44.52,-89.5463 +New Auburn,45.1988,-91.5666 +Plum City,44.6338,-92.1918 +Eau Claire,44.8203,-91.4951 +New Berlin,42.9726,-88.1291 +Neillsville,44.5606,-90.5905 +Westboro,45.3608,-90.2934 +Cedarburg,43.2991,-87.9887 +Auroraville,44.0519,-88.9926 +Crescent,45.0677,-91.1468 +Juneau,43.4053,-88.7041 +Waucousta,43.6525,-88.2604 +Mauston,43.7995,-90.0775 +Stockholm,44.4852,-92.2633 +Rossmore,37.805,-81.9923 +Mathias,38.8779,-78.8661 +Hambleton,39.0813,-79.6454 +Thurmond,37.961,-81.0796 +Newell,40.6179,-80.5999 +Bolivar,39.3242,-77.7517 +Shinnston,39.3923,-80.2989 +Wayne,38.2233,-82.4429 +Bayard,39.2711,-79.3662 +Colcord,37.9443,-81.4371 +Pettry,37.4362,-80.964 +Van,37.9713,-81.7138 +Masontown,39.5512,-79.8003 +Kiahsville,38.0915,-82.3274 +Union,37.5905,-80.5419 +Maybeury,37.3675,-81.3572 +Bolt,37.7623,-81.4189 +Nutter Fort,39.2604,-80.3265 +Dailey,38.7968,-79.8967 +Deep Water,38.1217,-81.2528 +Montrose,39.0671,-79.8144 +Star City,39.6587,-79.9868 +Mineral Wells,39.1806,-81.5129 +Eleanor,38.5374,-81.9256 +Clendenin,38.486,-81.3502 +Pea Ridge,38.4154,-82.3188 +Henry,39.2232,-79.4212 +Wellsburg,40.2811,-80.6102 +McMechen,39.9854,-80.7335 +Kimball,37.4268,-81.5078 +Thomas,39.1458,-79.4958 +Laneville,38.974,-79.4173 +Paw Paw,39.5313,-78.4553 +Brandywine,38.6219,-79.2413 +Junior,38.9783,-79.9505 +Millstone,38.8015,-81.0962 +Cottageville,38.8656,-81.8235 +Fellowsville,39.3307,-79.8245 +Coalton,38.8965,-79.9679 +Flemington,39.2666,-80.1287 +South Charleston,38.3482,-81.711 +Matewan,37.6262,-82.1696 +Burlington,39.337,-78.9223 +Barrackville,39.5013,-80.1696 +Edray,38.2746,-80.0915 +Parcoal,38.4604,-80.3731 +Beech Bottom,40.2181,-80.6588 +Mannington,39.5274,-80.3409 +Erbacon,38.519,-80.589 +Monongah,39.4598,-80.2185 +Twilight,37.9252,-81.6176 +Onego,38.8479,-79.422 +Apple Grove,38.6663,-82.1706 +Strange Creek,38.5632,-80.8979 +Sylvester,38.008,-81.5623 +Bergoo,38.4849,-80.2981 +Sissonville,38.5042,-81.6398 +Buckhannon,38.9927,-80.2279 +Ellamore,38.9243,-80.0904 +Clay,38.4662,-81.0814 +Glen Rogers,37.7154,-81.4179 +Spencer,38.8025,-81.3534 +Great Cacapon,39.6144,-78.2857 +Webb,37.9698,-82.4824 +Durbin,38.5471,-79.8278 +Ivydale,38.5357,-81.0348 +Kermit,37.8425,-82.4084 +Bartow,38.5422,-79.7859 +Culloden,38.4159,-82.0722 +Clearco,38.0934,-80.5693 +Justice,37.5992,-81.8381 +Thornton,39.3456,-79.942 +Daniels,37.724,-81.1267 +Point Pleasant,38.8529,-82.1303 +Reader,39.5689,-80.7316 +Clifftop,38.0043,-80.944 +Core,39.6801,-80.1073 +Kopperston,37.7502,-81.5764 +Stirrat,37.7265,-82.0023 +Slaty Fork,38.4165,-80.1267 +Kingwood,39.4719,-79.6822 +Tanner,38.9815,-80.9496 +Orlando,38.8712,-80.5937 +Mount Nebo,38.2001,-80.8512 +Clarksburg,39.2863,-80.323 +Fort Ashby,39.4966,-78.7631 +Slanesville,39.3732,-78.5228 +Bemis,38.8121,-79.7389 +Murphytown,39.234,-81.4435 +Zela,38.2859,-80.9498 +Charlton Heights,38.1255,-81.2333 +Bartley,37.3373,-81.7334 +Webster Springs,38.4793,-80.4134 +Camden on Gauley,38.3668,-80.5956 +Coal City,37.6776,-81.218 +Bald Knob,37.8709,-81.6357 +Chapmanville,37.9726,-82.0215 +Wheeling,40.0755,-80.6951 +Craigsville,38.3246,-80.645 +Herndon,37.5054,-81.3404 +Fenwick,38.2288,-80.5805 +Hurricane,38.4294,-82.017 +Martinsburg,39.4582,-77.9776 +Wolf Summit,39.2822,-80.462 +Ronceverte,37.7503,-80.4715 +Chauncey,37.7652,-81.9834 +Bruno,37.688,-81.8737 +McWhorter,39.1273,-80.3829 +Lost Creek,39.1627,-80.3484 +Glasgow,38.2109,-81.4218 +Williamson,37.6742,-82.271 +Falling Waters,39.5637,-77.8874 +Friendly,39.5136,-81.0615 +Delray,39.1945,-78.6042 +Cedar Grove,38.2223,-81.4376 +Glenville,38.9379,-80.8339 +Greenview,37.9963,-81.8202 +Schultz,39.3201,-81.2401 +Riverton,38.744,-79.4359 +Chesapeake,38.2233,-81.5363 +Gilbert Creek,37.5697,-81.8906 +Oakvale,37.3323,-80.9703 +Pageton,37.3599,-81.4648 +Montcalm,37.3516,-81.2514 +Sophia,37.7117,-81.2524 +Mill Creek,38.7319,-79.9725 +Teays Valley,38.4482,-81.924 +Romney,39.3454,-78.7564 +Lizemores,38.334,-81.1751 +Fairmont,39.4768,-80.1491 +Logan,37.8509,-81.9857 +Maben,37.6387,-81.394 +Kanawha,39.199,-81.4601 +Whitesville,37.9825,-81.5367 +Green Bank,38.4267,-79.8343 +Chattaroy,37.7062,-82.2737 +Eccles,37.7817,-81.2649 +Dunbar,38.3688,-81.7345 +Green Spring,39.5241,-78.6302 +Neibert,37.7861,-81.9341 +Montgomery,38.1741,-81.3241 +Newburg,39.3889,-79.8536 +Hedgesville,39.5544,-77.9944 +Pickens,38.6559,-80.216 +Inwood,39.3538,-78.0552 +Smithfield,39.5012,-80.5551 +Tioga,38.422,-80.6548 +Abbott,38.9218,-80.3215 +Falling Spring,37.9926,-80.3576 +Brooks,37.7243,-80.8865 +Pentress,39.7101,-80.1685 +Mellin,39.1226,-81.1709 +Helen,37.6373,-81.3131 +Fairview,39.5927,-80.2469 +Mullens,37.5811,-81.3855 +Gandeeville,38.7051,-81.4104 +Rand,38.2817,-81.5654 +Grantsville,38.9204,-81.0934 +Beckley,37.7878,-81.1841 +Augusta,39.2954,-78.6378 +Dorcas,38.939,-79.1061 +Pocatalico,38.4904,-81.6473 +Omar,37.7583,-81.9973 +Brookhaven,39.6062,-79.8812 +Cairo,39.2068,-81.1543 +Bancroft,38.5107,-81.8418 +Barnabus,37.744,-82.0093 +Raysal,37.3367,-81.7712 +Gary,37.3621,-81.5405 +Robertsburg,38.6554,-81.9512 +Glen White,37.73,-81.2797 +Robinette,37.7856,-81.788 +Flatwoods,38.7187,-80.654 +Jefferson,38.3701,-81.7708 +Gap Mills,37.5623,-80.4081 +Petersburg,38.9957,-79.1276 +Frankford,37.9251,-80.3845 +Granville,39.6471,-79.9974 +Coxs Mills,39.0445,-80.8268 +Carolina,39.4795,-80.2728 +Mitchell Heights,37.9088,-81.9867 +Elizabeth,39.0618,-81.3976 +Eckman,37.4046,-81.4643 +Saint Albans,38.3769,-81.8198 +Lavalette,38.3224,-82.4479 +Ward,38.2465,-81.3882 +East Dailey,38.7795,-79.8911 +Pineville,37.5845,-81.5354 +Kistler,37.7656,-81.8578 +Rockport,39.0742,-81.5532 +Galloway,39.2339,-80.1277 +Parsons,39.0942,-79.6786 +Corinne,37.5709,-81.3615 +Covel,37.4907,-81.3196 +White Sulphur Springs,37.7963,-80.3016 +Buffalo,38.6117,-81.982 +Paden City,39.6035,-80.9351 +Evans,38.8204,-81.7796 +Pruntytown,39.334,-80.0767 +Huttonsville,38.7138,-79.9766 +Pine Grove,39.5642,-80.6825 +Brenton,37.6004,-81.635 +Bramwell,37.327,-81.313 +Delbarton,37.7052,-82.1861 +Sistersville,39.5598,-80.9987 +Huntington,38.4109,-82.4344 +Hico,38.1166,-81.0112 +Pullman,39.188,-80.949 +Accoville,37.7653,-81.827 +Bowden,38.9092,-79.7089 +Mount Carbon,38.1443,-81.289 +Alum Bridge,39.0393,-80.6551 +Winfield,38.5285,-81.8861 +Fairlea,37.7756,-80.4582 +Handley,38.1863,-81.3673 +Gilbert,37.6142,-81.8689 +Rivesville,39.5319,-80.1205 +Kearneysville,39.3882,-77.8856 +Proctor,39.7117,-80.8237 +Frost,38.2707,-79.8806 +Griffithsville,38.2387,-81.9893 +Belle,38.2337,-81.5387 +Old Fields,39.1348,-78.9497 +Alexander,38.7829,-80.2226 +Pike,39.2834,-81.0815 +Westover,39.6324,-79.9773 +Alderson,37.7277,-80.6436 +Crab Orchard,37.741,-81.23 +Malden,38.3007,-81.5571 +Enterprise,39.4197,-80.2834 +Beverly,38.844,-79.8719 +Charleston,38.3484,-81.6323 +Brohard,39.0365,-81.1762 +Chelyan,38.1958,-81.4928 +Lindside,37.4537,-80.6698 +Meadow Creek,37.8101,-80.9231 +Asbury,37.8198,-80.5592 +Auburn,39.0961,-80.8562 +Spelter,39.3431,-80.3163 +Sarah Ann,37.7086,-81.9881 +Branchland,38.2209,-82.2038 +Carpendale,39.6278,-78.7896 +Pax,37.9097,-81.2648 +Farmington,39.512,-80.2515 +Kimberly,38.1407,-81.2966 +Danville,38.0808,-81.8342 +MacArthur,37.7553,-81.2078 +Grafton,39.3409,-80.0162 +Tunnelton,39.3929,-79.7466 +Oceana,37.6927,-81.6324 +Leopold,39.1254,-80.7407 +Lost City,38.9298,-78.8342 +New Cumberland,40.5072,-80.6115 +Valley Grove,40.0901,-80.569 +Ravenswood,38.9561,-81.7619 +Ingleside,37.3148,-81.0523 +Annamoriah,38.9406,-81.2271 +Smithers,38.1768,-81.3048 +Hilltop,37.9392,-81.1527 +Barboursville,38.4061,-82.297 +Crum,37.9095,-82.447 +Falls View,38.1297,-81.2539 +Saint George,39.1662,-79.6987 +Kingston,37.9737,-81.3046 +Weston,39.039,-80.4616 +Bruceton Mills,39.6594,-79.6406 +West Union,39.2963,-80.7751 +Ferrellsburg,38.0251,-82.1054 +Rupert,37.9649,-80.687 +Worthington,39.4568,-80.2636 +Whitmer,38.8149,-79.5451 +Four States,39.4798,-80.3098 +Harrisville,39.2104,-81.0485 +Henderson,38.8304,-82.136 +Fort Gay,38.1202,-82.5953 +Swandale,38.4707,-80.9595 +Birch River,38.4961,-80.7497 +Cheat Lake,39.6672,-79.8565 +Walton,38.639,-81.4021 +Morgantown,39.638,-79.9468 +Marlinton,38.2246,-80.0906 +Capon Bridge,39.2998,-78.4337 +Piney View,37.835,-81.1275 +Boomer,38.1516,-81.2825 +Sweet Springs,37.6285,-80.2414 +Clearview,40.1399,-80.6898 +Nallen,38.1107,-80.877 +Arbovale,38.4353,-79.8116 +Ridgeview,38.1384,-81.7596 +Washington,39.2422,-81.6679 +Folsom,39.4706,-80.5204 +Diana,38.5737,-80.4565 +Lorentz,39.0109,-80.3023 +Amherstdale,37.78,-81.8182 +Bradshaw,37.3534,-81.8012 +Monaville,37.8136,-81.9915 +Ceredo,38.3952,-82.5542 +Minden,37.9759,-81.1195 +Scarbro,37.9504,-81.1666 +Sand Fork,38.9154,-80.7476 +Stollings,37.8409,-81.9624 +Red Jacket,37.6488,-82.1316 +Gassaway,38.6702,-80.7717 +Parkersburg,39.2623,-81.5419 +Quinnimont,37.8546,-81.0445 +Blacksville,39.7175,-80.2146 +Blennerhassett,39.2562,-81.6316 +Pennsboro,39.2874,-80.9754 +Williamstown,39.4001,-81.4524 +Lowsville,39.5629,-80.0531 +Keyser,39.4394,-78.9822 +Hendricks,39.0754,-79.6299 +Hinton,37.6653,-80.8828 +Rhodell,37.6095,-81.3051 +Clintonville,37.894,-80.599 +Verdunville,37.8532,-82.0603 +Frenchton,38.8729,-80.3565 +Summersville,38.2865,-80.841 +Aurora,39.3254,-79.5546 +Lewisburg,37.8096,-80.4327 +Rippon,39.2184,-77.9053 +Lesage,38.487,-82.293 +Glen Jean,37.9271,-81.153 +Hernshaw,38.2251,-81.6023 +Shady Spring,37.7032,-81.0912 +Waverly,39.3328,-81.3813 +Bridgeport,39.3037,-80.2476 +Harts,38.0343,-82.129 +Terra Alta,39.4442,-79.5435 +Big Creek,38.0054,-82.036 +Lubeck,39.2276,-81.6265 +Big Sandy,37.4608,-81.7051 +Beards Fork,38.0646,-81.2279 +Hartford City,38.9978,-81.9905 +Middleway,39.3032,-77.981 +Beaver,37.7356,-81.15 +Myrtle,37.7679,-82.1912 +Gauley Bridge,38.1681,-81.2039 +Ranson,39.325,-77.8666 +Anawalt,37.3364,-81.4406 +New Martinsville,39.6636,-80.8569 +Squire,37.2384,-81.6098 +Petroleum,39.1909,-81.2684 +Valley Bend,38.7694,-79.928 +Richwood,38.2221,-80.5363 +Lashmeet,37.4228,-81.1967 +Coketon,39.1401,-79.512 +Hundred,39.6836,-80.4576 +War,37.304,-81.6801 +East Bank,38.2154,-81.4439 +Hodgesville,39.0659,-80.1942 +Camp Creek,37.4954,-81.1029 +Weirton,40.406,-80.5671 +Littleton,39.7024,-80.5147 +Cucumber,37.2785,-81.6241 +Matoaka,37.4182,-81.2417 +Bud,37.5329,-81.3821 +Benwood,40.0139,-80.7328 +West Milford,39.2044,-80.4034 +Princeton,37.3688,-81.0961 +Bluefield,37.2605,-81.2155 +Stanaford,37.8156,-81.1492 +Bethany,40.2053,-80.5629 +Cowen,38.411,-80.5542 +Dunmore,38.3596,-79.8809 +Fayetteville,38.0622,-81.1084 +West Hamlin,38.2801,-82.1941 +Berwind,37.266,-81.6633 +Hacker Valley,38.6526,-80.3837 +Powellton,38.0941,-81.322 +Scott Depot,38.4418,-81.9168 +Rachel,39.5207,-80.2997 +Salem,39.2849,-80.5645 +Roderfield,37.4501,-81.7029 +Bethlehem,40.0452,-80.6898 +Cleveland,38.727,-80.3923 +Brandonville,39.6671,-79.6277 +East Lynn,38.1679,-82.3779 +Shanghai,39.4415,-78.1322 +Athens,37.423,-81.0148 +Arista,37.4726,-81.2607 +Hamlin,38.2805,-82.1087 +Shenandoah Junction,39.3531,-77.8375 +Burnsville,38.8579,-80.6539 +Cassville,39.675,-80.0678 +Fireco,37.6448,-81.1982 +Captina,39.819,-80.8131 +Trout,38.0168,-80.4679 +Kenova,38.4029,-82.5825 +Jeffrey,37.9715,-81.8215 +Oak Hill,37.9844,-81.1277 +Mount Hope,37.9003,-81.172 +Pratt,38.2082,-81.3868 +Moorefield,39.0674,-78.9624 +Ansted,38.1357,-81.1038 +Nestorville,39.1798,-79.9092 +Hepzibah,39.3309,-80.3341 +Grant Town,39.559,-80.1772 +Shannondale,39.2123,-77.8105 +Helvetia,38.7058,-80.1993 +Harpers Ferry,39.3251,-77.7409 +Glady,38.7984,-79.7195 +Elk Garden,39.3862,-79.1556 +Glendale,39.9466,-80.7564 +Prichard,38.2362,-82.6028 +Glen Fork,37.6982,-81.5362 +Scherr,39.1932,-79.17 +McConnell,37.8282,-81.9652 +New Milton,39.2301,-80.6826 +Welch,37.4455,-81.5721 +Lenore,37.799,-82.2868 +Prosperity,37.8384,-81.1987 +Ridgeley,39.6432,-78.7711 +Saint Marys,39.4023,-81.1951 +Elkins,38.9237,-79.8541 +Switzer,37.7879,-81.9865 +Idamay,39.493,-80.2572 +Jacksonburg,39.5304,-80.6404 +Vivian,37.4172,-81.4923 +Philippi,39.1487,-80.0417 +Wharncliffe,37.5554,-81.9657 +Cuzzart,39.5937,-79.5648 +Matheny,37.664,-81.5985 +Glen Ferris,38.1518,-81.2185 +Moundsville,39.9221,-80.7422 +Coal Fork,38.3185,-81.5229 +Bolair,38.4376,-80.444 +Magnolia,39.5618,-78.427 +Berkeley Springs,39.627,-78.2272 +White Hall,39.4241,-80.1889 +Sardis,39.3376,-80.4179 +Iaeger,37.4642,-81.8111 +Wildell,38.7112,-79.7806 +Wardensville,39.0768,-78.5932 +Upper Tract,38.7873,-79.2825 +Belington,39.022,-79.9383 +Mallory,37.7274,-81.8206 +Dellslow,39.607,-79.892 +Rainelle,37.9678,-80.7717 +Reedy,38.8996,-81.4264 +Bradley,37.8675,-81.2046 +Marmet,38.2458,-81.5711 +Shrewsbury,38.2079,-81.4675 +Man,37.7522,-81.8923 +Kenna,38.6765,-81.6601 +Prince,37.8593,-81.0722 +Gallipolis Ferry,38.7745,-82.204 +Mount Storm,39.2773,-79.2409 +Ireland,38.8157,-80.4618 +Jerryville,38.4257,-80.3112 +Alum Creek,38.2876,-81.833 +Caldwell,37.7807,-80.394 +Belmont,39.3786,-81.2634 +Comfort,38.1317,-81.6101 +Mason,39.0183,-82.0314 +Northfork,37.4196,-81.4274 +Piedmont,39.4778,-79.0466 +Nettie,38.2183,-80.6889 +Holden,37.8238,-82.0788 +Frank,38.5462,-79.808 +Bens Run,39.4659,-81.1084 +Davy,37.4759,-81.6474 +Stonewood,39.2501,-80.3054 +Valley Head,38.5472,-80.032 +Middlebourne,39.4946,-80.907 +Baker,39.0418,-78.7447 +Ellenboro,39.2678,-81.0551 +Belva,38.2327,-81.1894 +Ripley,38.8201,-81.7091 +Chester,40.6129,-80.5627 +Albright,39.4937,-79.6399 +Davis,39.1266,-79.4609 +Elkview,38.4327,-81.4771 +Madison,38.0632,-81.8046 +Rock Cave,38.8368,-80.3426 +Hooverson Heights,40.319,-80.5825 +Meadow Bridge,37.8613,-80.8561 +Rowlesburg,39.3482,-79.6764 +Smithville,39.074,-81.0943 +North Hills,39.3149,-81.5086 +Huntersville,38.1859,-80.0152 +Cameron,39.828,-80.5693 +Pleasant Valley,39.4505,-80.1552 +Wallace,39.4072,-80.4911 +Mabscott,37.7694,-81.2133 +Waiteville,37.4737,-80.422 +Greenville,37.5435,-80.6826 +Sandyville,38.9059,-81.6607 +Keystone,37.4158,-81.4463 +Smithburg,39.2893,-80.7343 +Peterstown,37.3991,-80.795 +Charles Town,39.2746,-77.8632 +Wick,39.4131,-80.974 +Reedsville,39.5102,-79.8006 +Racine,38.1397,-81.654 +Poca,38.473,-81.8124 +Dunlow,38.0231,-82.4315 +Nitro,38.4119,-81.8194 +Triadelphia,40.0483,-80.623 +Anthony,37.896,-80.332 +New Creek,39.3751,-79.0267 +Brush Fork,37.2805,-81.245 +Windsor Heights,40.1913,-80.6649 +Sutton,38.6663,-80.7116 +Hutchinson,37.8168,-81.9082 +Peach Creek,37.8745,-81.9848 +Rosedale,38.7393,-80.9429 +Franklin,38.6452,-79.3332 +Jenkinjones,37.2937,-81.4259 +Quinwood,38.0586,-80.706 +Osage,39.6587,-80.0076 +Lester,37.7349,-81.3015 +Dixie,38.2509,-81.1943 +Century,39.1003,-80.1883 +Big Chimney,38.4119,-81.5374 +Hometown,38.5288,-81.8552 +Henlawson,37.9,-81.982 +Leon,38.7471,-81.9555 +Itmann,37.5735,-81.4145 +Boaz,39.3674,-81.4853 +New Richmond,37.5735,-81.487 +Crumpler,37.4262,-81.3313 +Brighton,38.7998,-82.0404 +Shepherdstown,39.4318,-77.8048 +Cross Lanes,38.4351,-81.7706 +Salt Rock,38.3243,-82.2172 +Leewood,38.0676,-81.4498 +Minnehaha Springs,38.1632,-79.9809 +Wiley Ford,39.6151,-78.7615 +Hillsboro,38.1353,-80.2136 +Springfield,39.4449,-78.6977 +Circleville,38.6709,-79.4912 +Glenwood,38.5918,-82.1865 +Pinch,38.4062,-81.481 +West Liberty,40.1647,-80.5972 +Ghent,37.6221,-81.1057 +Vienna,39.3238,-81.5383 +Milton,38.4353,-82.1375 +Jane Lew,39.11,-80.4085 +Despard,39.2874,-80.3158 +Kincaid,38.0382,-81.2759 +Harman,38.921,-79.5245 +Plymouth,38.5159,-81.8449 +Bluewell,37.3144,-81.2581 +Cass,38.3962,-79.9191 +Blakeley,38.2962,-81.3037 +Page,38.0506,-81.2718 +Anmoore,39.2611,-80.2862 +Lumberport,39.3742,-80.3484 +New Haven,38.9876,-81.9655 +West Logan,37.8679,-81.9906 +Gypsy,39.3648,-80.307 +Follansbee,40.3385,-80.5975 +Waipiʻo Acres,21.4689,-158.0173 +ʻEwa Gentry,21.3344,-158.0262 +ʻUlupalakua,20.6487,-156.3982 +Niuliʻi,20.2223,-155.7442 +Kaumalapau,20.787,-156.9894 +Hāliʻimaile,20.8671,-156.3381 +Puʻuwai,21.901,-160.2017 +Lāʻie,21.6443,-157.928 +Lahaina,20.8848,-156.6618 +Hilo,19.6886,-155.0864 +Waikapū,20.8391,-156.5221 +Hanapēpē,21.914,-159.5874 +Līhuʻe,21.9728,-159.3541 +Kaunakakai,21.0905,-156.9981 +Waimea,21.9651,-159.6679 +Whitmore Village,21.5119,-158.0273 +Hawaiian Paradise Park,19.5828,-154.9693 +Kamalō,21.0502,-156.8746 +Waikāne,21.4921,-157.8721 +Wailua Homesteads,22.065,-159.3771 +Launiupoko,20.8541,-156.6424 +Kapalua,20.9959,-156.6418 +Waiakoa,20.76,-156.3277 +Hauʻula,21.6111,-157.9118 +Waiʻanae,21.4569,-158.1759 +ʻŌmaʻo,21.9236,-159.4814 +Laupāhoehoe,19.9749,-155.238 +Wailuku,20.8834,-156.5059 +Mānā,22.0358,-159.7694 +Pāhala,19.1995,-155.4794 +Welokā,19.9589,-155.1985 +Volcano,19.48,-155.2487 +Honuʻapo,19.0895,-155.5487 +Kualapuʻu,21.1563,-157.0591 +Hālawa,21.3754,-157.9185 +Honomu,19.8695,-155.1124 +Kalaoa,19.7369,-156.0122 +Kahakuloa,20.9959,-156.5492 +Kealakekua,19.5286,-155.9032 +ʻEleʻele,21.9088,-159.5801 +Waimānalo,21.3421,-157.7303 +Waialua,21.5659,-158.1198 +Lāwaʻi,21.9203,-159.5006 +Pāʻia,20.9062,-156.3678 +Māʻili,21.4134,-158.1702 +Hawaiian Acres,19.5325,-155.0497 +Keaʻau,19.6156,-155.0372 +Wailea,20.6873,-156.4291 +Iroquois Point,21.3232,-157.9777 +Kurtistown,19.5833,-155.0721 +Anahola,22.1455,-159.3151 +Keauhou,19.5606,-155.9623 +Fern Acres,19.5082,-155.0785 +Pūpūkea,21.6511,-158.0436 +Waiheʻe,20.9309,-156.51 +Eden Roc,19.4917,-155.0958 +Pukalani,20.8329,-156.3415 +Captain Cook,19.4995,-155.8937 +ʻEwa Villages,21.3418,-158.0389 +Wahiawā,21.5004,-158.02 +Kaʻaʻawa,21.5485,-157.8534 +ʻEwa Beach,21.3181,-158.0073 +Honolulu,21.3294,-157.846 +Poʻipū,21.8834,-159.46 +Māʻalaea,20.8047,-156.4898 +ʻŌʻōkala,20.0142,-155.2842 +Makakilo City,21.3469,-158.0858 +Waipahu,21.3858,-158.0103 +Maunawili,21.3667,-157.7713 +Kalaupapa,21.1895,-156.9818 +Nānākuli,21.3892,-158.1445 +Kēōkea,20.7211,-156.3625 +Kīlauea,22.2108,-159.3964 +Pākalā Village,21.9445,-159.6436 +Mokulēʻia,21.5775,-158.1487 +Kahuku,21.6793,-157.9473 +Mākaha Valley,21.4842,-158.1854 +Māhukona,20.1841,-155.9 +Hāʻena,22.2186,-159.561 +Nāʻālehu,19.0698,-155.5751 +Kāʻanapali,20.9276,-156.6795 +Kapaʻa,22.091,-159.352 +Maunaloa,21.1334,-157.2123 +Mākena,20.631,-156.4252 +Mākaha,21.4734,-158.2103 +Kāneʻohe,21.4062,-157.7904 +Paʻauilo,20.0397,-155.3697 +Kaumakani,21.9187,-159.6241 +Kaluaʻaha,21.0666,-156.8206 +Punaluʻu,19.137,-155.5046 +Waimānalo Beach,21.3288,-157.6975 +Pāhoa,19.4961,-154.9454 +Lānaʻi City,20.8279,-156.9147 +Kapaʻau,20.2267,-155.805 +Makawao,20.848,-156.319 +Mountain View,19.5358,-155.1596 +Hāna,20.772,-156.0107 +Hanalei,22.2041,-159.4978 +Honalo,19.5787,-155.902 +ʻOpihikao,19.4281,-154.882 +ʻĀinaloa,19.5214,-154.9944 +Waiehu,20.919,-156.4947 +Wainaku,19.7449,-155.0985 +ʻUalapuʻe,21.0704,-156.8355 +Hāwī,20.2392,-155.8305 +Mililani Town,21.4465,-158.0147 +Waikoloa Village,19.9285,-155.8185 +Olowalu,20.8222,-156.6169 +Honokaʻa,20.0746,-155.4656 +Kalihi Wai,22.2165,-159.4405 +Princeville,22.2177,-159.4809 +Pāpaʻikou,19.7917,-155.0963 +Waiʻōhinu,19.0716,-155.6143 +Hōlualoa,19.6238,-155.9269 +Kahului,20.8715,-156.4603 +Leilani Estates,19.4659,-154.9157 +Kīpahulu,20.6547,-156.0553 +Heʻeia,21.4211,-157.8203 +Kekaha,21.9684,-159.7141 +Kukuihaele,20.1195,-155.5654 +Halaʻula,20.2261,-155.7816 +Orchidlands Estates,19.557,-155.0142 +Nānāwale Estates,19.5042,-154.9117 +Wailua,20.8452,-156.1326 +Pepeʻekeo,19.8316,-155.1061 +Honokahua,20.9984,-156.6587 +Kailua,21.392,-157.7397 +Kalāheo,21.9159,-159.5236 +Hawaiian Ocean View,19.0959,-155.775 +Fern Forest,19.4648,-155.1324 +Puakō,19.9389,-155.8604 +Waimalu,21.3913,-157.9345 +Hoʻolehua,21.1675,-157.0688 +Pāpaʻaloa,19.9751,-155.2203 +Haleʻiwa,21.5871,-158.1074 +Discovery Harbour,19.0415,-155.6254 +Kīhei,20.7653,-156.4454 +ʻAiea,21.3865,-157.9232 +Paukaa,19.7625,-155.0948 +Hawaiian Beaches,19.5423,-154.9223 +Wainiha,22.1983,-159.5456 +Miloliʻi,19.186,-155.9062 +Puhi,21.9622,-159.3918 +Hanamāʻulu,21.9953,-159.3494 +ʻĀhuimanu,21.4379,-157.8404 +Glenwood,19.4878,-155.1514 +Pearl City,21.4031,-157.9566 +Kawela Bay,21.6991,-158.0026 +Kapolei,21.3403,-158.0665 +Kawaihae,20.0354,-155.8265 +Kahaluʻu,21.4576,-157.8453 +Kōloa,21.903,-159.461 +Waipiʻo,21.4143,-157.9966 +Lake Panasoffkee,28.7878,-82.1318 +Alachua,29.778,-82.4827 +Holt,30.7157,-86.7458 +Ochopee,25.9015,-81.3034 +Pretty Bayou,30.1975,-85.6974 +Bushnell,28.6859,-82.1159 +Apalachicola,29.7282,-84.994 +Campville,29.6664,-82.1184 +Tequesta,26.9618,-80.1011 +Dundee,28.0116,-81.5995 +West Hollywood,26.0206,-80.1839 +Luraville,30.1224,-83.1693 +Sumatra,30.023,-84.9825 +Bonifay,30.7828,-85.6846 +Indian Pass,29.6905,-85.2644 +Jupiter Island,27.0449,-80.11 +The Villages,28.9021,-81.9888 +Taylor Creek,27.2172,-80.7927 +Columbia,30.0738,-82.6957 +North Palm Beach,26.8217,-80.0574 +Tiger Point,30.3775,-87.0578 +Goodland,25.9252,-81.648 +Falmouth,30.363,-83.1312 +Yankeetown,29.0334,-82.733 +Grove City,26.9071,-82.3259 +Indian Rocks Beach,27.8963,-82.8443 +Tangelo Park,28.456,-81.4465 +Bayshore,26.7153,-81.8234 +Glenvar Heights,25.709,-80.3156 +Kingsley,29.9819,-81.9959 +Belleair Beach,27.924,-82.8365 +Fruit Cove,30.0972,-81.6176 +Wannee,29.7186,-82.941 +Westchester,25.7474,-80.3358 +Dowling Park,30.2436,-83.2363 +Keystone Heights,29.781,-82.0339 +Day,30.195,-83.2909 +Highland City,27.9631,-81.8779 +Miami Springs,25.8195,-80.2895 +Bradenton,27.49,-82.5743 +Thonotosassa,28.0465,-82.291 +Lakeland,28.0557,-81.9543 +Elfers,28.214,-82.723 +Lely Resort,26.0889,-81.7031 +Citra,29.4119,-82.1098 +Capitola,30.451,-84.0879 +Hillsboro Pines,26.3252,-80.1947 +Shiloh,28.7905,-80.8045 +Winter Springs,28.689,-81.2708 +Citrus Hills,28.887,-82.4312 +Alafaya,28.5183,-81.178 +Parker,30.129,-85.6008 +Laguna Beach,30.2549,-85.951 +Lake Lindsey,28.6322,-82.3617 +Briny Breezes,26.509,-80.0543 +Schall Circle,26.7152,-80.1143 +Mascotte,28.611,-81.9107 +Miccosukee,30.5946,-84.0413 +West Frostproof,27.7336,-81.5831 +Captiva,26.5205,-82.191 +Miami Lakes,25.9125,-80.3214 +Cottondale,30.789,-85.3641 +Celebration,28.3102,-81.551 +Estero,26.4277,-81.7951 +Loxahatchee Groves,26.7106,-80.2764 +Cobbtown,30.8823,-87.1212 +Ocala,29.1803,-82.1495 +McIntosh,29.4493,-82.2209 +River Park,27.3214,-80.3309 +Allentown,30.7736,-87.0808 +Garden Grove,28.4716,-82.4348 +Country Walk,25.6331,-80.4353 +Crawfordville,30.1996,-84.3634 +Crystal Springs,28.183,-82.1539 +Fruitville,27.3328,-82.4615 +Hilliard,30.6869,-81.9212 +Glen Saint Mary,30.2751,-82.1603 +Ormond Beach,29.296,-81.1003 +Saint George Island,29.652,-84.8881 +Dade City,28.3569,-82.1942 +Lake Placid,27.297,-81.3717 +West Bay,30.2919,-85.8597 +Washington Park,26.1304,-80.1801 +Yalaha,28.7509,-81.8194 +Saint Catherine,28.6103,-82.1381 +Fussels Corner,28.0575,-81.8601 +Ocean City,30.4398,-86.6071 +Boyd,30.1891,-83.6065 +Brooksville,28.5403,-82.3902 +Bruce,30.4724,-85.9652 +Haverhill,26.6909,-80.1218 +Lanark Village,29.8835,-84.5957 +Daytona Beach,29.1995,-81.0982 +Gladeview,25.8395,-80.2368 +Buckingham,26.6615,-81.7399 +Burnt Store Marina,26.7645,-82.0507 +Altoona,28.9681,-81.6482 +Compass Lake,30.5927,-85.3927 +Sewall's Point,27.1971,-80.1982 +Union Park,28.5657,-81.2355 +Manalapan,26.5621,-80.0439 +Bay Lake,28.387,-81.5753 +Sea Ranch Lakes,26.2009,-80.0981 +Anna Maria,27.5297,-82.734 +Zolfo Springs,27.4927,-81.7871 +Bradenton Beach,27.4649,-82.6957 +Pinellas Park,27.8588,-82.7076 +Indrio,27.5206,-80.3528 +Wildwood,28.8003,-82.0051 +North River Shores,27.2224,-80.2737 +Dupont,29.4269,-81.2226 +Eagle Lake,27.9762,-81.7574 +Venice Gardens,27.0694,-82.4054 +Canal Point,26.8626,-80.6222 +Archer,29.5395,-82.5137 +Edgewater,28.962,-80.9413 +Belleair Shores,27.9173,-82.8455 +Lake Kathryn,29.0072,-81.4906 +Key Biscayne,25.6908,-80.1653 +Fort Green,27.6255,-81.9397 +Sopchoppy,30.0598,-84.4855 +Winter Haven,28.0122,-81.7018 +Pembroke Pines,26.0128,-80.3387 +Myrtle Grove,30.4158,-87.3028 +Clark,29.7733,-82.6259 +Wahneta,27.9574,-81.7288 +Bluff Springs,30.9363,-87.2947 +Lighthouse Point,26.2785,-80.089 +Mango,27.9915,-82.307 +Indiantown,27.0386,-80.4699 +Horseshoe Beach,29.4499,-83.2818 +Jupiter Inlet Beach Colony,26.9489,-80.0748 +Pierson,29.2401,-81.4559 +Hull,27.1192,-81.9423 +Lacoochee,28.4655,-82.1698 +High Point,28.5474,-82.5206 +Hillsboro Beach,26.2838,-80.0796 +Harlem Heights,26.516,-81.9293 +Baldwin,30.3051,-81.9737 +Punta Rassa,26.5036,-81.9998 +Seminole,27.8429,-82.7834 +Tavernier,25.0188,-80.5132 +Copeland,25.9537,-81.3559 +Prosperity,30.8519,-85.9469 +New Port Richey,28.2468,-82.717 +Lake City,30.1892,-82.6469 +Port Saint Lucie,27.2796,-80.3883 +Quincy,30.5659,-84.5856 +Ariel,28.9005,-80.8637 +Jennings,30.5981,-83.1076 +Venice,27.1166,-82.4135 +Siesta Key,27.2779,-82.5516 +Providence,28.1539,-81.9734 +Clearwater,27.9786,-82.7622 +Masaryktown,28.4417,-82.461 +Fountain,30.4788,-85.4196 +Eucheeanna,30.6457,-86.0449 +Lady Lake,28.924,-81.93 +Inglis,29.0327,-82.6592 +Middleburg,30.0502,-81.9011 +Panama City,30.1997,-85.6003 +South Bay,26.6783,-80.7268 +Walton,27.3,-80.2562 +Sarasota,27.3391,-82.5439 +Harbour Heights,26.9928,-82.0072 +South Miami,25.7078,-80.2952 +Carrollwood,28.0577,-82.5149 +De Leon Springs,29.1172,-81.3517 +Vernon,30.6197,-85.7062 +Marineland,29.6648,-81.2138 +Frostproof,27.7493,-81.5252 +Buckhead Ridge,27.133,-80.8868 +Otter Creek,29.324,-82.7737 +Astor,29.1635,-81.5349 +Brighton,27.2259,-81.0951 +Wauchula,27.547,-81.8103 +Oviedo,28.6579,-81.187 +Morriston,29.2811,-82.44 +Pomona Park,29.5015,-81.5936 +Glencoe,29.0009,-80.9612 +Sampson,29.9166,-82.2079 +Olga,26.7113,-81.695 +Lake Hart,28.3858,-81.2339 +Orlando,28.4788,-81.342 +Chiefland,29.4895,-82.8665 +Sebring,27.477,-81.453 +Greenacres City,26.6237,-80.1253 +Taylor,30.4405,-82.2912 +Leisure City,25.4937,-80.4367 +June Park,28.0716,-80.6872 +Hardaway,30.6305,-84.7355 +Genoa,30.4005,-82.8349 +Crows Bluff,29.0078,-81.3892 +Haile,29.6905,-82.5734 +Oldsmar,28.0507,-82.6697 +Bayou George,30.2627,-85.5399 +Plantation Key,24.9783,-80.5547 +Vamo,27.2254,-82.4944 +Meadow Woods,28.3698,-81.3467 +Mulat,30.5595,-87.1297 +Saint Cloud,28.2303,-81.2849 +Bowling Green,27.638,-81.8244 +Floral City,28.7065,-82.309 +Aventura,25.9566,-80.1371 +Ankona,27.3406,-80.275 +O'Brien,30.0383,-82.9401 +Jena,29.6636,-83.3701 +Roeville,30.6838,-86.9939 +Munson,30.8418,-86.887 +Cooper City,26.0464,-80.2862 +East Naples,26.1384,-81.7665 +Eaton Park,28.0086,-81.9076 +Sugarmill Woods,28.7321,-82.4986 +Starke,29.9475,-82.113 +Esto,30.9819,-85.6429 +Silver Lake,28.8437,-81.8008 +Kathleen,28.1224,-82.0387 +Valparaiso,30.4926,-86.5079 +Butler Beach,29.798,-81.2653 +Fort Myers Shores,26.7135,-81.7383 +Eatonville,28.6168,-81.3905 +Wilton Manors,26.1593,-80.1395 +Bonita Springs,26.3559,-81.7861 +Telogia,30.3508,-84.8191 +Hosford,30.3944,-84.8034 +Bronson,29.4501,-82.6391 +Milligan,30.7524,-86.6408 +Coleman,28.8013,-82.07 +Lynne,29.1925,-81.9173 +Christmas,28.5606,-81.0201 +Ocoee,28.5785,-81.5337 +Niceville,30.5291,-86.4754 +Palmetto Bay,25.622,-80.3221 +Paisley,28.985,-81.5404 +Sparr,29.3386,-82.1126 +Gibsonton,27.826,-82.3761 +Orient Park,27.9725,-82.3729 +Winter Garden,28.5421,-81.5966 +Valkaria,27.9636,-80.5437 +Okahumpka,28.7459,-81.8962 +Warrington,30.3821,-87.2944 +Gardner,27.3537,-81.7895 +Port Sewall,27.1862,-80.1895 +Dalkeith,30.0058,-85.1541 +Cedar Grove,30.1813,-85.6267 +Fort Drum,27.5267,-80.8067 +Ellaville,30.3813,-83.1726 +Palm City,27.1736,-80.2861 +Jan-Phyl Village,28.0201,-81.7933 +Cudjoe Key,24.6746,-81.4986 +Cannon Town,30.8549,-86.6741 +McKinnon,30.7891,-87.4733 +Flowersville,30.9538,-86.3383 +Bryceville,30.3847,-81.9387 +Port Orange,29.1084,-81.0136 +Spring Hill,28.4797,-82.53 +Saint Pete Beach,27.7215,-82.7383 +Bunnell,29.4198,-81.3235 +Medley,25.8642,-80.3512 +McGregor,26.5611,-81.9134 +Tarpon Springs,28.1492,-82.7622 +Bayport,28.547,-82.6456 +Doctor Phillips,28.4473,-81.491 +Summerfield,29.0086,-82.0348 +Kendrick,29.2536,-82.1679 +Charleston Park,26.7057,-81.5807 +Melbourne Village,28.0879,-80.6651 +Lorida,27.4434,-81.2537 +Callaway,30.1351,-85.5598 +Tice,26.6758,-81.8171 +West Miami,25.7578,-80.2969 +Whitfield,30.8787,-87.0613 +Tallahassee,30.455,-84.2526 +Panama City Beach,30.2369,-85.8774 +Olympia Heights,25.7241,-80.339 +South Brooksville,28.5242,-82.4158 +Ona,27.483,-81.9098 +Altha,30.572,-85.127 +Shamrock,29.6433,-83.1449 +White City,29.8841,-85.2199 +Allandale,29.1217,-80.9764 +Citrus Springs,28.9932,-82.4595 +Gaskin,30.971,-86.1355 +Orchid,27.7733,-80.4182 +Northdale,28.1058,-82.5263 +Marathon,24.7261,-81.0378 +Loughman,28.238,-81.5682 +Gonzalez,30.5822,-87.2906 +Orange City,28.9348,-81.2882 +Manasota Key,26.9226,-82.3537 +Vilas,30.2191,-84.8857 +Clarcona,28.6218,-81.4993 +Jay,30.9503,-87.1522 +Limestone Creek,26.9433,-80.1408 +Land O' Lakes,28.2075,-82.4476 +Pinewood,25.8697,-80.2174 +Sanford,28.7891,-81.2757 +Fairview Shores,28.6021,-81.3948 +Paxton,30.9751,-86.3095 +Bellview,30.462,-87.312 +Inwood,28.0391,-81.7678 +Largo,27.9088,-82.7713 +Trinity,28.1809,-82.6581 +Dekle Beach,29.8491,-83.6193 +Richmond Heights,25.6347,-80.372 +Waverly,27.9839,-81.6196 +Leonia,30.9085,-86.0249 +Marco,25.9726,-81.729 +Wallace,30.6746,-87.1996 +Cypress,30.7132,-85.0738 +Econfina,30.4121,-85.5358 +Lake Mary,28.7591,-81.336 +Royal Palm Beach,26.7037,-80.2242 +Floridatown,30.5828,-87.1615 +Merritt Island,28.3146,-80.6713 +Apollo Beach,27.7618,-82.4002 +Harbor Bluffs,27.9082,-82.8269 +Ponce de Leon,30.7233,-85.9374 +Pinetta,30.5941,-83.3524 +North Sarasota,27.371,-82.5177 +Leesburg,28.7674,-81.8981 +Crystal Lake,28.0371,-81.9064 +Istachatta,28.6634,-82.2726 +Lauderdale-by-the-Sea,26.199,-80.0972 +Miami,25.784,-80.2102 +Ponce Inlet,29.0928,-80.9474 +West Park,25.984,-80.1922 +Brooker,29.8877,-82.3329 +Palmetto,27.5251,-82.575 +Indialantic,28.0869,-80.57 +North Fort Myers,26.7243,-81.8491 +The Meadows,27.3653,-82.4725 +Webster,28.6115,-82.0509 +Venus,27.0673,-81.3567 +Pineola,28.6889,-82.2729 +Mount Plymouth,28.8024,-81.5351 +Rotonda,26.8845,-82.2791 +North Port,27.0577,-82.1976 +West Palm Beach,26.7467,-80.1314 +Eustis,28.8559,-81.678 +Key Colony Beach,24.7234,-81.0215 +Curlew,28.0531,-82.7429 +Baskin,27.897,-82.7951 +Seville,29.3364,-81.5065 +Palm Coast,29.5389,-81.246 +Branford,29.9621,-82.9256 +South Punta Gorda Heights,26.8656,-81.9909 +Pine Island Center,26.6352,-82.1253 +Town 'n' Country,28.0108,-82.576 +Biscayne Park,25.8818,-80.1814 +Turnbull,28.7103,-80.8623 +Boynton Beach,26.5282,-80.0811 +Tamiami,25.7556,-80.4016 +Heathrow,28.7754,-81.3721 +Creels,29.8219,-84.9091 +Port Salerno,27.1462,-80.1894 +Bokeelia,26.68,-82.1409 +Sunnyside,28.7989,-81.8354 +Palmona Park,26.6892,-81.8947 +Waukeenah,30.402,-83.96 +Drifton,30.4955,-83.8793 +Fort Walton Beach,30.4245,-86.6193 +Dukes,29.9664,-82.4073 +Carrabelle,29.8549,-84.6688 +Scottsmoor,28.7669,-80.8781 +Martel,29.1866,-82.2465 +Seminole Manor,26.5839,-80.1001 +Golden Gate,26.1844,-81.7031 +Meadowbrook Terrace,30.1775,-81.7345 +Good Hope,30.9691,-86.6313 +Highland View,29.838,-85.3158 +Hypoluxo,26.5635,-80.0531 +Miramar,25.9773,-80.3358 +Doral,25.8149,-80.3565 +Avon Park,27.5904,-81.5074 +Hawthorne,29.5922,-82.0918 +Romeo,29.2064,-82.4362 +Bay Pines,27.8144,-82.7744 +Grant-Valkaria,27.9323,-80.5655 +Lely,26.1032,-81.7296 +Palm Bay,27.9861,-80.6628 +Ward Ridge,29.7885,-85.2849 +Campton,30.8735,-86.5183 +Safety Harbor,28.0079,-82.6965 +Bostwick,29.7741,-81.637 +Pennsuco,25.8951,-80.3781 +Bloomingdale,27.8784,-82.2624 +Highland Park,27.8613,-81.5618 +Miami Beach,25.8171,-80.1396 +Gun Club Estates,26.6753,-80.1081 +Steinhatchee,29.6795,-83.3837 +Alford,30.6961,-85.3947 +Lake Wales,27.9193,-81.5969 +Balm,27.7541,-82.2882 +Watertown,30.1854,-82.6023 +Immokalee,26.4253,-81.4251 +South Bradenton,27.4612,-82.5821 +Center Hill,28.6334,-81.9985 +Alva,26.7188,-81.6269 +Lake Magdalene,28.0874,-82.4791 +Belleview,29.0612,-82.0565 +Boca Grande,26.749,-82.262 +Ponte Vedra Beach,30.2397,-81.3856 +Saint Leo,28.3363,-82.2589 +Beacon Square,28.2118,-82.7504 +Dunnellon,29.0529,-82.4414 +Sunniland,26.2693,-81.3417 +Atlantic Beach,30.3372,-81.4128 +Perrine,25.6051,-80.3537 +Ellzey,29.3111,-82.7934 +North Naples,26.2193,-81.7918 +Wesley Chapel,28.2106,-82.3238 +Wabasso,27.7478,-80.4363 +Delray Beach,26.455,-80.0905 +Oakland Park,26.1779,-80.1527 +Layton,24.8246,-80.8128 +Indian River Estates,27.3565,-80.2984 +East Milton,30.6175,-86.9636 +Ebro,30.4379,-85.8791 +Brent,30.4729,-87.2496 +Glen Ridge,26.6717,-80.0757 +Bratt,30.9657,-87.4275 +Chokoloskee,25.8145,-81.3602 +Chipley,30.7755,-85.5405 +Chaires,30.4363,-84.1174 +Juno Ridge,26.8491,-80.0619 +Holley,30.454,-86.9036 +Sunny Isles Beach,25.9385,-80.1245 +Jensen Beach,27.2437,-80.2422 +DeLand,29.0226,-81.2875 +South Patrick Shores,28.2021,-80.6137 +Grand Island,28.8825,-81.729 +Saint James City,26.5507,-82.098 +Newburn,30.2724,-83.1407 +Hugh,30.1658,-82.0329 +Georgetown,29.3914,-81.6387 +Noma,30.9801,-85.6223 +Winfield,30.263,-82.686 +Redington Beach,27.8127,-82.8094 +Wewahitchka,30.1153,-85.1932 +Hollywood,26.0293,-80.1678 +Jasmine Estates,28.293,-82.6907 +Fuller Heights,27.9227,-81.9978 +The Acreage,26.7741,-80.2779 +Wiscon,28.5409,-82.4664 +Weeki Wachee,28.517,-82.5775 +Putnam Hall,29.7366,-81.9593 +Winter Beach,27.712,-80.4254 +Fort Myers Beach,26.4324,-81.9167 +McAlpin,30.1391,-82.9518 +Lake Monroe,28.8247,-81.327 +Summer Haven,29.6991,-81.2234 +Jamieson,30.6627,-84.4505 +Wekiwa Springs,28.6984,-81.425 +Wimauma,27.6964,-82.3034 +Black Diamond,28.9066,-82.4947 +Satsuma,29.555,-81.6559 +Chattahoochee,30.6977,-84.834 +Welaka,29.4824,-81.6657 +Pompano Park,26.1993,-80.2084 +Hacienda Village,26.0854,-80.2012 +Lake Park,26.7998,-80.0689 +Oakdale,30.7105,-85.1852 +Bradfordville,30.5613,-84.2177 +Chassahowitzka,28.713,-82.5743 +Goldenrod,28.6114,-81.2916 +Micco,27.8683,-80.51 +Seagrove Beach,30.3185,-86.1302 +Gandy,27.8685,-82.6161 +West Perrine,25.6061,-80.3639 +La Crosse,29.8412,-82.3797 +Amelia City,30.5902,-81.4573 +Sunset,25.7061,-80.353 +Enterprise,28.8692,-81.2667 +South Highpoint,27.9085,-82.7162 +Hastings,29.7104,-81.5102 +Lantana,26.5834,-80.0565 +Vero Beach,27.6463,-80.393 +Woodville,30.3114,-84.2595 +Bayshore Gardens,27.4346,-82.5793 +Ridge Wood Heights,27.2874,-82.5137 +Wright,30.4444,-86.642 +Gifford,27.6748,-80.4099 +Sumterville,28.745,-82.0634 +Sanderson,30.2522,-82.2729 +Warm Mineral Springs,27.0469,-82.2701 +Usher,29.4075,-82.8168 +Barberville,29.1872,-81.4209 +Port LaBelle,26.7493,-81.3876 +Rubonia,27.5789,-82.5526 +Desoto Lakes,27.373,-82.4968 +Pembroke Park,25.9852,-80.1779 +DeBary,28.8815,-81.324 +South Palm Beach,26.5899,-80.0391 +Silver Springs Shores,29.103,-82.0049 +West DeLand,29.0162,-81.3343 +Blackman,30.9246,-86.6366 +Gulf Stream,26.4889,-80.0574 +Palm Valley,30.2011,-81.3949 +San Carlos Park,26.4765,-81.8192 +South Apopka,28.6564,-81.5055 +Wacissa,30.3566,-83.9937 +Capps,30.4105,-83.911 +Bal Harbour,25.8935,-80.1258 +Miami Gardens,25.9433,-80.2425 +Myakka City,27.3498,-82.1615 +Saint Petersburg,27.793,-82.6652 +Lower Grand Lagoon,30.1444,-85.7525 +Theressa,29.8352,-82.0707 +Willow Oak,27.9216,-82.0244 +West Melbourne,28.0696,-80.6738 +Fort Myers,26.6195,-81.8302 +Ormond-by-the-Sea,29.3436,-81.0677 +Naples,26.1504,-81.7936 +Island Grove,29.4536,-82.1065 +Odessa,28.182,-82.553 +Edgewood,28.488,-81.3768 +Wakulla Beach,30.1094,-84.2591 +Pine Manor,26.5727,-81.8775 +Crystal River,28.8967,-82.5994 +Florahome,29.7327,-81.8834 +Alton,30.053,-83.1379 +West Samoset,27.4702,-82.5552 +Olustee,30.2041,-82.4287 +Everglades City,25.8601,-81.3804 +Fanning Springs,29.5877,-82.9245 +Newberry,29.6346,-82.6047 +Minneola,28.6069,-81.732 +Drexel,28.2428,-82.4598 +Goulding,30.4396,-87.23 +West Bradenton,27.5016,-82.6146 +Royal Palm Estates,26.6815,-80.1266 +Lake Sarasota,27.2916,-82.437 +Nokomis,27.1227,-82.4369 +Point Baker,30.6851,-87.0522 +Lloyd,30.4822,-84.0244 +Lake Helen,28.9829,-81.2309 +Flamingo,25.1418,-80.9253 +Cypress Quarters,27.2479,-80.8116 +Hallandale Beach,25.9854,-80.1423 +Dellwood,30.8238,-85.0496 +Sunrise,26.1547,-80.2997 +Nobleton,28.6451,-82.2621 +Crooked Lake Park,27.8294,-81.5897 +Fort Basinger,27.3623,-81.057 +Becker,30.6713,-81.6412 +Broadview Park,26.0979,-80.2088 +Williston,29.3736,-82.4576 +Dixonville,30.9865,-87.0416 +Sanibel,26.4535,-82.1024 +Trenton,29.6094,-82.8147 +Florida Ridge,27.5805,-80.3848 +Izagora,30.9102,-85.8416 +Fernandina Beach,30.6588,-81.45 +Groveland,28.602,-81.8204 +Lakeside,30.1356,-81.7674 +Beverly Hills,28.9175,-82.4541 +Coral Gables,25.7037,-80.2715 +Lauderhill,26.1605,-80.2241 +Wausau,30.6334,-85.5874 +Callahan,30.5618,-81.832 +Lisbon,28.8823,-81.7812 +Clewiston,26.7532,-80.9399 +Chumuckla,30.7826,-87.2309 +Holden Heights,28.5011,-81.3877 +Santos,29.1091,-82.0929 +South Ponte Vedra Beach,30.0225,-81.3237 +Sharpes,28.4368,-80.7555 +Eridu,30.3019,-83.7471 +Cortez,27.4668,-82.6688 +Crescent Beach,29.7358,-81.2414 +Osteen,28.8461,-81.1626 +Raiford,30.0636,-82.2391 +Eldridge,29.2114,-81.4573 +Basinger,27.4003,-81.0165 +Maytown,28.8072,-80.9601 +Powell,28.4925,-82.4284 +Tavares,28.7927,-81.7364 +Ridgecrest,27.8951,-82.8063 +Pinland,30.018,-83.5279 +Mims,28.6928,-80.8468 +Southgate,27.3082,-82.5096 +Vermont Heights,29.8102,-81.397 +Astatula,28.7065,-81.7346 +Naples Manor,26.0892,-81.7254 +Treasure Island,27.7731,-82.766 +Azalea Park,28.5467,-81.2957 +Fern Park,28.6484,-81.3457 +Big Pine Key,24.6893,-81.3676 +Lake Harbor,26.6884,-80.8079 +Lecanto,28.8359,-82.488 +Navarre,30.4174,-86.8907 +Palm Harbor,28.0846,-82.7481 +Port Saint Joe,29.8275,-85.3071 +Oslo,27.5867,-80.3803 +Fruitland Park,28.8599,-81.9191 +Belleair Bluffs,27.9199,-82.8196 +Miramar Beach,30.3854,-86.3443 +Doctors Inlet,30.1002,-81.7762 +Westview,25.8825,-80.2415 +Pembroke,27.7864,-81.8051 +Havana,30.6297,-84.4134 +Indian Creek Village,25.8782,-80.1362 +Altamonte Springs,28.6615,-81.3952 +Southchase,28.379,-81.3902 +Montbrook,29.3272,-82.4504 +Mary Esther,30.4127,-86.6588 +Roosevelt Gardens,26.1407,-80.181 +Homosassa Springs,28.8118,-82.5392 +Marianna,30.7907,-85.23 +Newport,30.1994,-84.1807 +Bassville Park,28.8405,-81.7687 +Orange Heights,29.7197,-82.1393 +Sanborn,30.0719,-84.6043 +El Portal,25.8556,-80.1954 +Oak Grove,30.6919,-84.7333 +Midway,30.4996,-84.4585 +Lockhart,28.6271,-81.4354 +Holly Hill,29.2443,-81.0463 +North Key Largo,25.2574,-80.3242 +Tamarac,26.2058,-80.2547 +Alliance,30.6099,-85.1135 +Pine Hills,28.5818,-81.4692 +Browardale,26.1287,-80.1925 +Kenneth City,27.8156,-82.7162 +Okeechobee,27.2412,-80.8298 +Cypress Lake,26.5391,-81.9 +Bell,29.7569,-82.8618 +Westlake,26.7549,-80.2984 +Sneads,30.7085,-84.9247 +Eureka,29.3722,-81.9045 +De Funiak Springs,30.7122,-86.1208 +Rio,27.2161,-80.24 +Oak Ridge,28.4727,-81.4169 +Jupiter,26.9199,-80.1127 +Darlington,30.9438,-86.0574 +Resota Beach,30.3035,-85.5935 +Bellwood,28.505,-80.7845 +South Beach,27.5883,-80.3435 +Jerome,25.9973,-81.3467 +Vineyards,26.2279,-81.728 +Shalimar,30.4434,-86.5831 +Orlovista,28.5441,-81.4629 +Gulfport,27.7463,-82.7099 +Palm River,26.2773,-81.7762 +Placida,26.8323,-82.2648 +Grant,27.9289,-80.5264 +Polk City,28.1804,-81.8295 +Paradise Beach,30.4008,-87.4205 +High Springs,29.808,-82.5956 +Old Town,29.6013,-82.9818 +Yulee,30.635,-81.5678 +Gotha,28.5308,-81.519 +Lynn Haven,30.2361,-85.6389 +Hernando Beach,28.4753,-82.6612 +Walnut Hill,30.8855,-87.51 +Key West,24.5636,-81.7769 +Auburn,30.8202,-86.5377 +South Miami Heights,25.5886,-80.3862 +North Redington Beach,27.8214,-82.8186 +Clear Springs,30.9799,-86.3452 +Alcoma,27.895,-81.4823 +Country Club,25.9407,-80.3102 +Fern Crest Village,26.0893,-80.2192 +Lake Buena Vista,28.3793,-81.5266 +Hillcrest Heights,27.8083,-81.5695 +Berrydale,30.8982,-87.035 +Ocean Ridge,26.5288,-80.0499 +Palmetto Estates,25.6211,-80.3616 +Port Mayaca,26.9864,-80.6062 +Lake Clarke Shores,26.6462,-80.0752 +Summerland Key,24.6657,-81.4423 +Three Oaks,26.4738,-81.7959 +San Antonio,28.3394,-82.2787 +Alturas,27.8417,-81.6952 +Mossy Head,30.7432,-86.3149 +Lemon Grove,27.5765,-81.636 +Cypress Gardens,28.0036,-81.6856 +Ferry Pass,30.5202,-87.1904 +Cooks Hammock,29.9297,-83.2765 +South Sarasota,27.2856,-82.5333 +Wabasso Beach,27.757,-80.3992 +Hunters Creek,28.361,-81.4357 +Westwood Lake,25.7237,-80.3717 +Lochloosa,29.5116,-82.1004 +Franklin Park,26.1341,-80.1762 +Mount Carmel,30.9868,-87.121 +Pinecrest,25.665,-80.3042 +Wilma,30.1544,-84.9644 +Pompano Beach,26.2428,-80.1312 +Malabar,27.9885,-80.5781 +Holopaw,28.1358,-81.0762 +Umatilla,28.9272,-81.6652 +Palm Beach,26.6852,-80.0403 +Sorrento,28.8087,-81.5631 +Youngstown,30.3644,-85.4383 +Santa Fe,29.8836,-82.4304 +Rockledge,28.3199,-80.7318 +Lawtey,30.0475,-82.0721 +Destin,30.395,-86.4701 +Cottage Hill,30.6327,-87.32 +Iona,26.516,-81.9601 +Plantation Mobile Home Park,26.7035,-80.1318 +Tildenville,28.5384,-81.6025 +Riviera Beach,26.7814,-80.074 +Virginia Gardens,25.8095,-80.2974 +Wedgefield,28.4847,-81.0808 +Quintette,30.6663,-87.3128 +Tangerine,28.7589,-81.6341 +Palm Springs,26.635,-80.0967 +Melbourne Beach,28.0667,-80.561 +Pelican Bay,26.2327,-81.8108 +Monticello,30.5423,-83.8722 +Fairbanks,29.7247,-82.264 +Ojus,25.9563,-80.1606 +Tallevast,27.4017,-82.5429 +Grand Ridge,30.7083,-85.0207 +Frontenac,28.4617,-80.7634 +Fort Green Springs,27.5876,-81.9402 +Madeira Beach,27.7986,-82.7889 +Viking,27.5417,-80.362 +McDavid,30.8663,-87.3197 +Holiday,28.1864,-82.7429 +South Gate Ridge,27.2856,-82.497 +Sirmans,30.3508,-83.6568 +Highland Beach,26.4066,-80.0663 +Lakeview,26.2995,-80.16 +Bagdad,30.5824,-87.0447 +Inverness,28.8397,-82.3437 +Cornwell,27.3787,-81.0967 +Key Largo,25.1224,-80.412 +Cape Coral,26.6444,-81.9956 +Sebastian,27.7883,-80.4815 +Moore Haven,26.8338,-81.0984 +Charlotte Harbor,26.9629,-82.0571 +Gretna,30.5901,-84.6855 +Zephyrhills,28.2407,-82.1797 +Hobe Sound,27.0729,-80.1425 +Islamorada,24.9243,-80.6278 +Suwannee,29.3288,-83.1443 +Pensacola,30.4427,-87.1886 +Saint Augustine South,29.8449,-81.3156 +Princeton,25.5396,-80.3971 +New Hope,30.9477,-85.8794 +Clermont,28.5403,-81.7296 +Temple Terrace,28.0435,-82.3777 +Belle Glade,26.6918,-80.6667 +Wellington,26.6464,-80.2707 +Maitland,28.6293,-81.3716 +Blanton,28.4117,-82.2465 +Bogia,30.8424,-87.3244 +Gulf Breeze,30.3685,-87.1769 +Lovett,30.6283,-83.5732 +Stuart,27.1962,-80.2438 +Knights,28.0764,-82.1376 +Vilano Beach,29.9189,-81.2928 +Lakewood Park,27.539,-80.3865 +Davenport,28.1585,-81.6117 +Rerdell,28.5675,-82.1562 +Durbin,30.0875,-81.4612 +Three Lakes,25.6415,-80.4 +Wakulla,30.2369,-84.231 +Conway,28.4968,-81.3316 +Deltona,28.905,-81.2136 +Palmdale,26.9453,-81.3162 +Bayonet Point,28.3255,-82.6834 +Stacey Street,26.6978,-80.1238 +Cloud Lake,26.6744,-80.0732 +Fisher Island,25.7607,-80.1415 +Westville,30.7697,-85.8465 +Salem,29.8869,-83.4129 +Tampa,27.9937,-82.4454 +Cleveland,26.9529,-81.9924 +Campbell,28.2603,-81.4525 +Citrus Park,28.073,-82.5628 +Round Lake,30.6516,-85.3888 +Hill 'n Dale,28.519,-82.2918 +Saint Augustine,29.8979,-81.31 +Lealman,27.8197,-82.6849 +Jacobs,30.8949,-85.3977 +Kenansville,27.8764,-80.9878 +Micanopy,29.506,-82.2806 +Forest City,28.6619,-81.4444 +Mexico Beach,29.9451,-85.4105 +Tierra Verde,27.6685,-82.73 +Mount Dora,28.8143,-81.6344 +Lake Lorraine,30.4407,-86.5657 +Pine Castle,28.4651,-81.374 +Lauderdale Lakes,26.1683,-80.2017 +Plantation,26.126,-80.2617 +Rochelle,29.5966,-82.2176 +Cutler Bay,25.5765,-80.3357 +Page Park,26.5782,-81.8615 +Florida City,25.4418,-80.4685 +Athena,29.988,-83.4943 +Foley,30.0694,-83.5307 +Lowell,29.3305,-82.1915 +Norfleet,30.4427,-84.3918 +Oak Hill,28.8783,-80.8353 +Belle Isle,28.4725,-81.3491 +Saint Augustine Shores,29.8039,-81.3086 +North Lauderdale,26.2113,-80.2209 +Paradise Heights,28.6236,-81.5439 +Campbellton,30.9509,-85.4019 +Bay Hill,28.4558,-81.5122 +Naranja,25.5165,-80.4219 +Apopka,28.7015,-81.5308 +Fort Pierce,27.4256,-80.3425 +Murdock,27.0128,-82.1462 +Satellite Beach,28.1782,-80.602 +Oxford,28.9275,-82.0373 +Red Head,30.4866,-85.8419 +Pine Barren,30.7774,-87.3344 +Pineda,28.2372,-80.6784 +Combee Settlement,28.0597,-81.9053 +Dickerson City,30.4826,-87.0651 +Coconut Creek,26.2803,-80.1842 +Shady,29.0955,-82.169 +Freeport,30.5039,-86.1391 +Fountainebleau,25.7721,-80.3454 +Okeelanta,26.6098,-80.7114 +Malone,30.9586,-85.1621 +West Lake Wales,27.8903,-81.6465 +Deerfield Beach,26.305,-80.1278 +Holmes Beach,27.5109,-82.7153 +Raleigh,29.4479,-82.4681 +Bristol,30.4255,-84.9773 +Glendale,30.863,-86.1144 +Atlantis,26.5961,-80.1031 +Salt Springs,29.3511,-81.7351 +Beverly Beach,29.5164,-81.1475 +Buenaventura Lakes,28.3349,-81.3539 +Houston,30.2569,-82.9026 +Hampton,29.8642,-82.1379 +Lazy Lake,26.1563,-80.1452 +Worthington Springs,29.9331,-82.4152 +Manatee Road,29.5144,-82.9182 +Lulu,30.1075,-82.4912 +Boulevard Gardens,26.1252,-80.1822 +Denaud,26.7423,-81.5101 +White Springs,30.3318,-82.7563 +Matlacha,26.6304,-82.0719 +Palm Beach Gardens,26.8488,-80.1656 +Andrews,29.5482,-82.888 +Portland,30.5124,-86.1958 +Highpoint,27.917,-82.7129 +Indian Harbour Beach,28.1528,-80.5974 +Charlotte Park,26.9031,-82.0485 +Hinson,30.6474,-84.4166 +Port Charlotte,26.9918,-82.114 +Indian Shores,27.8535,-82.8439 +Russell,30.0564,-81.7473 +Jacksonville Beach,30.2782,-81.4045 +Parkland,26.3218,-80.2532 +Pine Log,30.4038,-85.9116 +Cedar Key,29.146,-83.0386 +Williamsburg,28.4015,-81.4461 +Lumberton,28.2661,-82.1365 +Titusville,28.5727,-80.8193 +Avalon Beach,30.5302,-87.1016 +Big Coppitt Key,24.5915,-81.6574 +Panacea,30.0282,-84.3936 +Astor Park,29.1536,-81.572 +Suncoast Estates,26.7122,-81.8684 +Candler,29.0714,-81.9681 +Intercession City,28.2625,-81.5079 +Medulla,27.957,-81.9866 +Pittman,28.9967,-81.6462 +Kensington Park,27.359,-82.4933 +Hilden,30.0658,-81.4401 +East Lake Weir,29.02,-81.9083 +Barrineau Park,30.6938,-87.4361 +Auburndale,28.0966,-81.8008 +Solana,26.9389,-82.0278 +Saint Teresa,29.9308,-84.4541 +Live Oak,30.2956,-82.9846 +Poinciana,28.1217,-81.482 +Orangetree,26.2929,-81.5786 +Opa-locka,25.8997,-80.2551 +Berkeley,28.5028,-82.5887 +Goodno,26.7687,-81.3117 +De Soto City,27.4425,-81.4051 +North Miami Beach,25.9302,-80.1659 +Westchase,28.0597,-82.611 +Fort White,29.9225,-82.7136 +Greenwood,30.8729,-85.161 +Eau Gallie,28.1292,-80.6303 +Crystal Beach,28.0914,-82.7798 +University Park,25.7469,-80.3684 +Blountstown,30.443,-85.0454 +Honeyville,30.058,-85.1899 +Sky Lake,28.4611,-81.3912 +Coconut,26.3995,-81.8395 +Pebble Creek,28.1582,-82.3411 +South Venice,27.0435,-82.4153 +Villano Beach,29.9361,-81.3021 +Plant City,28.0144,-82.12 +Harlem,26.7325,-80.9518 +Dunedin,28.0328,-82.7866 +Miami Shores,25.867,-80.1779 +Fort Meade,27.7642,-81.8055 +Port Richey,28.2759,-82.7251 +North DeLand,29.0483,-81.2965 +Pine Island,28.5727,-82.6545 +Chuluota,28.638,-81.1158 +Fellsmere,27.7241,-80.5974 +Vicksburg,30.3258,-85.6647 +Jasper,30.5085,-82.954 +Williford,29.7863,-82.7912 +Lake Alfred,28.1041,-81.7264 +Milton,30.6286,-87.0521 +Naples Park,26.2633,-81.8094 +Daytona Beach Shores,29.1722,-80.9808 +Perry,30.1092,-83.582 +Coral Terrace,25.7464,-80.3049 +Kendale Lakes,25.7081,-80.4078 +Gainesville,29.6808,-82.3455 +Longboat Key,27.3926,-82.6341 +Saint Lucie,27.4967,-80.3417 +Brandon,27.9367,-82.3 +Lake Belvedere Estates,26.6887,-80.1372 +Plains,27.4095,-81.1842 +Hanson,30.5516,-83.3671 +Blue Mountain Beach,30.3374,-86.1972 +LaBelle,26.7221,-81.4505 +Cross City,29.6388,-83.1247 +Riverview,27.8227,-82.3023 +Williston Highlands,29.3336,-82.5357 +Hialeah,25.8696,-80.3045 +Santa Rosa Beach,30.396,-86.2288 +American Beach,30.575,-81.444 +Pahokee,26.8205,-80.6613 +Upper Grand Lagoon,30.169,-85.7407 +Ives Estates,25.9632,-80.183 +Plantation Island,25.8475,-81.3756 +Lee,30.4116,-83.3004 +Roseland,27.8361,-80.4884 +Casselberry,28.6624,-81.3218 +Woodlawn Beach,30.3861,-86.9932 +Asbury Lake,30.0472,-81.7855 +Neptune Beach,30.3165,-81.4118 +Lamont,30.3797,-83.8134 +Ratliff,30.5077,-81.8001 +South Pasadena,27.7524,-82.7395 +Frink,30.3685,-85.2141 +Favoretta,29.3669,-81.1748 +Korona,29.4069,-81.1965 +Laurel Hill,30.9633,-86.4567 +Stock Island,24.5658,-81.7351 +Narcoossee,28.2983,-81.239 +Armstrong,29.7622,-81.4479 +Holder,28.9669,-82.4207 +East Lake,28.1206,-82.6869 +Duck Key,24.771,-80.9132 +Southport,30.2894,-85.6405 +Ashville,30.6166,-83.6465 +Arcadia,27.2213,-81.8587 +Cinco Bayou,30.4222,-86.6095 +Surfside,25.8787,-80.1251 +Saint Marks,30.1653,-84.2079 +Medart,30.0827,-84.3871 +Baker,30.7971,-86.6813 +North Brooksville,28.573,-82.3748 +Goulds,25.5614,-80.388 +Davie,26.079,-80.287 +Cantonment,30.6085,-87.34 +Timber Pines,28.469,-82.5999 +Pace,30.6187,-87.1667 +Orange Lake,29.4236,-82.2168 +Bartow,27.8862,-81.8212 +Beacon Hill,29.923,-85.3858 +Deer Park,28.0914,-80.8978 +Fish Hawk,27.8511,-82.2164 +Margate,26.2465,-80.2119 +Brownsville,25.8216,-80.2417 +Ludlam,25.7337,-80.3014 +Kendall,25.6697,-80.3556 +Interlachen,29.6203,-81.8963 +Madison,30.4685,-83.4159 +Tennille,29.778,-83.326 +Windermere,28.5033,-81.5411 +Villas,26.5504,-81.8679 +Aucilla,30.477,-83.7603 +Cape Canaveral,28.3934,-80.605 +Cocoa Beach,28.3328,-80.6274 +Lake Hamilton,28.0478,-81.627 +Spring Lake,28.4952,-82.3017 +Cocoa,28.3821,-80.7675 +Zellwood,28.7294,-81.5894 +New River,29.9611,-82.2654 +Ridge Manor,28.4988,-82.1833 +Brownsdale,30.8859,-87.2218 +Molino,30.7123,-87.324 +Gomez,27.0848,-80.1434 +Babson Park,27.8342,-81.5281 +Eastpoint,29.7548,-84.8693 +New Smyrna Beach,29.0249,-80.965 +Dania Beach,26.0594,-80.1641 +Hatchbend,29.8472,-82.9182 +Pasco,28.3247,-82.337 +East Palatka,29.6502,-81.5998 +Dallas,28.9711,-82.0409 +Indian River Shores,27.7088,-80.3851 +Lake Butler,30.018,-82.3421 +Cassadaga,28.9664,-81.2359 +Penney Farms,29.9804,-81.8113 +Greenville,30.4668,-83.6352 +Keystone,28.1312,-82.5999 +Shady Grove,30.288,-83.6318 +Orange,30.2277,-85.0249 +Arredondo,29.605,-82.4093 +Whiskey Creek,26.5733,-81.8903 +Verna,27.3873,-82.2681 +Fort Lauderdale,26.1412,-80.1464 +Harold,30.6772,-86.831 +Bakers Mill,30.5797,-82.9393 +Green Cove Springs,29.99,-81.6809 +Oriole Beach,30.3687,-87.0962 +Lutz,28.1396,-82.4462 +Valrico,27.9193,-82.2293 +Five Points,30.2225,-82.6463 +Anthony,29.2894,-82.1118 +Eva,28.3264,-81.8334 +Fort Ogden,27.0873,-81.9523 +Lake Worth,26.6194,-80.059 +Saint Augustine Beach,29.8413,-81.2713 +Reddick,29.3687,-82.1974 +Parrish,27.5875,-82.4251 +Pine Island Ridge,26.0948,-80.2739 +Kissimmee,28.3042,-81.4164 +Sawgrass,30.19,-81.3704 +Homestead,25.4664,-80.4472 +Hines,29.7394,-83.2365 +Englewood,26.9604,-82.3535 +Brookridge,28.5484,-82.4897 +Boca Raton,26.3749,-80.1077 +Waldo,29.792,-82.1667 +Belleair,27.9363,-82.8118 +Orange Park,30.1706,-81.704 +Samsula,29.0261,-81.0503 +Port Saint John,28.4771,-80.7874 +Ellenton,27.5266,-82.5261 +Haines City,28.1097,-81.6158 +Taft,28.428,-81.3666 +Weirsdale,28.9819,-81.9242 +Winter Park,28.5986,-81.3436 +Shady Hills,28.4043,-82.5468 +Ocean Breeze Park,27.241,-80.2259 +Ruskin,27.7065,-82.4209 +Highland,30.1125,-82.0457 +Bee Ridge,27.2855,-82.4731 +Greensboro,30.5704,-84.7327 +Bascom,30.928,-85.118 +Sink Creek,30.6227,-85.1516 +Crescent City,29.4374,-81.5172 +Golf,26.5043,-80.1091 +Lundy,29.6183,-81.6476 +Punta Gorda,26.8932,-82.0517 +Century,30.9767,-87.2628 +Hampton Springs,30.0855,-83.6549 +Memphis,27.5435,-82.5607 +Sun City,27.6784,-82.4787 +Ensley,30.5261,-87.2735 +Hialeah Gardens,25.888,-80.3573 +Keysville,27.8692,-82.0956 +Caryville,30.7753,-85.812 +Gulf Hammock,29.253,-82.7309 +North Miami,25.9006,-80.1681 +Italia,30.6166,-81.717 +Marathon Shores,24.7257,-81.0484 +Lehigh Acres,26.612,-81.6388 +The Hammocks,25.67,-80.4483 +Sweetwater,25.7785,-80.3761 +North Bay Village,25.8487,-80.1535 +Howie In The Hills,28.7098,-81.7799 +Mangonia Park,26.7586,-80.0761 +Pine Ridge,28.933,-82.4761 +Hudson,28.3594,-82.6888 +Pineland,26.6642,-82.1477 +Flagler Beach,29.4711,-81.13 +Yeehaw Junction,27.6993,-80.8871 +Trilby,28.4565,-82.194 +Homeland,27.8182,-81.8269 +Fidelis,30.9343,-87.0246 +Espanola,29.5072,-81.3095 +Indian River City,28.5597,-80.7992 +Springfield,30.1689,-85.6092 +Laurel,27.1446,-82.4618 +South Daytona,29.1656,-81.0056 +Weston,26.1006,-80.4057 +Lochmoor Waterway Estates,26.6437,-81.9099 +Aripeka,28.4308,-82.6669 +Geneva,28.7377,-81.1143 +Sun City Center,27.7149,-82.3569 +Mayo,30.051,-83.1766 +Coral Springs,26.2701,-80.2592 +West Pensacola,30.4263,-87.2679 +Sarasota Springs,27.3092,-82.4788 +Southwest Ranches,26.0476,-80.3759 +Pine Lakes,28.939,-81.4308 +Mulberry,27.9057,-81.9871 +Hernando,28.9451,-82.3781 +Samoset,27.4765,-82.543 +Boulogne,30.7716,-81.9759 +Homosassa,28.7849,-82.6079 +Osprey,27.1914,-82.48 +Jacksonville,30.3322,-81.6749 +Nocatee,30.0918,-81.4097 +Ferndale,28.622,-81.7014 +Bradley Junction,27.7941,-81.9785 +Crestview,30.7479,-86.5785 +Piney Point,27.6342,-82.5404 +Bithlo,28.5644,-81.1067 +Feather Sound,27.9062,-82.6804 +Juno Beach,26.8755,-80.0589 +Parmalee,27.3712,-82.2181 +Palm Shores,28.1923,-80.6598 +Melbourne,28.1084,-80.6628 +Plymouth,28.6922,-81.5473 +Longwood,28.7018,-81.3488 +Golden Beach,25.966,-80.121 +Riverland,26.094,-80.1867 +Bereah,27.6611,-81.6256 +Golden Glades,25.9129,-80.2013 +Macclenny,30.2816,-82.1249 +Bay Harbor Islands,25.8878,-80.1335 +Dover,27.9927,-82.2198 +Montverde,28.5971,-81.6787 +Weeki Wachee Gardens,28.5375,-82.6208 +Limestone,27.3672,-81.9048 +Wellborn,30.2311,-82.8196 +Gulf Gate Estates,27.2588,-82.5066 +Palatka,29.6493,-81.6704 +Seffner,27.9981,-82.2735 +Cheval,28.1459,-82.5184 +Progress Village,27.8832,-82.3593 +Redington Shores,27.8294,-82.8274 +Lakeland Highlands,27.9572,-81.9496 +Kinard,30.2808,-85.2638 +Palm Beach Shores,26.7773,-80.0365 +Graceville,30.9609,-85.5125 +Duette,27.5903,-82.1229 +West Little River,25.857,-80.2366 +Oakland,28.5537,-81.6339 +Gateway,26.5804,-81.7453 +The Crossings,25.6708,-80.4018 +La Grange,41.6384,-104.163 +Wilson,43.486,-110.8937 +Riner,41.7352,-107.5506 +Shawnee,42.7477,-105.0097 +Greybull,44.4888,-108.0592 +Frontier,41.8141,-110.5371 +Worland,44.0026,-107.9543 +Redbird,43.2425,-104.2861 +Wyoming,41.4775,-105.6367 +Brookhurst,42.8618,-106.2272 +Reliance,41.6682,-109.1977 +Medicine Bow,41.8996,-106.2019 +Afton,42.7295,-110.9317 +Daniel,42.8658,-110.0766 +Dixon,41.0346,-107.5357 +Fort Laramie,42.2133,-104.5178 +Ethete,43.0008,-108.723 +Powell,44.7961,-108.7682 +Cassa,42.4161,-104.95 +Homa Hills,42.9857,-106.3719 +Encampment,41.2088,-106.7948 +Pine Haven,44.3534,-104.8104 +South Superior,41.7619,-108.9668 +Shell,44.5346,-107.7844 +Arlington,41.6052,-106.1997 +Lyman,41.3275,-110.2975 +Allendale,42.8147,-106.3106 +Kirby,43.8031,-108.1811 +Foxpark,41.0794,-106.1525 +Fontenelle,41.9973,-110.0626 +Upton,44.1025,-104.6374 +South Greeley,41.0933,-104.8067 +Buford,41.1219,-105.3047 +Mayoworth,43.8319,-106.792 +Meeteetse,44.1545,-108.8608 +Parkman,44.9488,-107.3077 +Big Sandy,42.6333,-109.4657 +Beulah,44.546,-104.0829 +Granger,41.597,-109.9627 +Albany,41.1869,-106.1255 +Burns,41.1909,-104.359 +Natwick,41.9608,-105.0566 +Natrona,43.0297,-106.8092 +South Park,43.4235,-110.7993 +Yoder,41.917,-104.2955 +Bedford,42.8983,-110.9432 +Grovont,43.6449,-110.6641 +Wilcox,41.7925,-105.9839 +Linch,43.6064,-106.1961 +Boysen,43.4416,-108.1732 +Saratoga,41.4517,-106.8107 +Opal,41.768,-110.3242 +McKinnon,41.0314,-109.9383 +Hiland,43.1152,-107.349 +Big Horn,44.6791,-106.9971 +Alta,43.7737,-111.0312 +Carlile,44.4869,-104.8014 +Lysite,43.268,-107.6904 +Green River,41.5124,-109.4708 +Torrington,42.0659,-104.1622 +Cowley,44.8833,-108.4695 +Burntfork,41.0291,-110.0043 +Bosler,41.5761,-105.6953 +Wolf,44.7716,-107.239 +Sinclair,41.7761,-107.1199 +Lance Creek,43.041,-104.6625 +Meadow Acres,42.8593,-106.0953 +Dubois,43.5389,-109.6443 +Lingle,42.1387,-104.3461 +Colony,44.87,-104.1552 +Little America,41.5469,-109.8636 +Osmond,42.6779,-110.9406 +Burgess Junction,44.77,-107.5198 +Clearview Acres,41.5842,-109.2801 +Lost Cabin,43.2863,-107.6326 +Sunrise,42.3302,-104.7055 +Antelope Hills,43.0813,-106.3117 +Keeline,42.7569,-104.7566 +Weston,44.6369,-105.3361 +Aladdin,44.64,-104.1836 +North Rock Springs,41.6698,-109.2714 +Urie,41.3089,-110.3351 +Mills,42.8473,-106.3818 +Arvada,44.6622,-106.1418 +Laramie,41.3099,-105.6086 +Boulder Flats,42.9156,-108.7993 +Verne,41.575,-110.0907 +Kemmerer,41.7761,-110.5555 +Deaver,44.8892,-108.5959 +Burlington,44.4471,-108.432 +Cheyenne,41.1406,-104.7926 +Crowheart,43.3398,-109.2298 +Robertson,41.1816,-110.4274 +Evansville,42.8681,-106.2524 +Piedmont,41.2161,-110.6274 +Riverside,41.2154,-106.7813 +Moneta,43.1616,-107.7248 +Vista West,42.8619,-106.4361 +Aspen,41.2058,-110.7518 +Acme,44.9105,-106.9851 +Waltman,43.0633,-107.1959 +South Pass City,42.4683,-108.7998 +Boxelder,42.6144,-105.86 +Sussex,43.6983,-106.295 +Alcova,42.5543,-106.7263 +Lamont,42.2205,-107.477 +Leo,42.2502,-106.8034 +Lost Springs,42.7652,-104.9255 +Purple Sage,41.5514,-109.3202 +Merna,42.9463,-110.3407 +Alva,44.6947,-104.4413 +Arrowhead Springs,41.5081,-109.1551 +Casper Mountain,42.7449,-106.3206 +Alpine,43.1608,-111.0185 +La Barge,42.2605,-110.1971 +Creston,41.7038,-107.7567 +Eden,42.0601,-109.4391 +Albin,41.4174,-104.1019 +Bill,43.2319,-105.2603 +Huntley,41.9316,-104.1438 +Milford,42.8763,-108.7843 +Point of Rocks,41.6831,-108.7755 +Bairoil,42.2372,-107.5611 +Clearmont,44.6399,-106.3813 +Orin,42.6506,-105.1826 +Wyodak,44.2914,-105.3797 +Bronx,42.9927,-110.1157 +Glenrock,42.8566,-105.8625 +Bitter Creek,41.5511,-108.5554 +Thayne,42.9192,-110.9968 +Diamondville,41.7771,-110.5357 +Jeffrey City,42.4808,-107.8256 +Chugwater,41.7557,-104.8229 +Westview Circle,42.0606,-105.0715 +Clark,44.8994,-109.151 +Glendo,42.5041,-105.0253 +Dayton,44.8733,-107.2624 +Atlantic City,42.5012,-108.733 +Ryan Park,41.3131,-106.4895 +Ralston,44.7085,-108.8823 +Oshoto,44.5875,-104.9378 +Centennial,41.3005,-106.1355 +Mountain View,41.2724,-110.3344 +Kaycee,43.7097,-106.6379 +Recluse,44.7411,-105.7081 +Jelm,41.0578,-106.0133 +Horse Creek,41.415,-105.1822 +Story,44.5731,-106.9142 +Baggs,41.0345,-107.6574 +Rafter J Ranch,43.4317,-110.7922 +Grass Creek,43.9402,-108.6485 +Ten Sleep,44.0347,-107.448 +Rolling Hills,42.9037,-105.8431 +Pavillion,43.244,-108.689 +Washam,41.0056,-109.6992 +Turnerville,42.8622,-110.9007 +Frannie,44.971,-108.6205 +Meriden,41.5436,-104.3191 +Otto,44.4033,-108.2743 +Jackson,43.472,-110.7743 +Basin,44.3806,-108.0466 +Midwest,43.4114,-106.2771 +Boulder,42.7461,-109.7067 +Seminoe Dam,42.1566,-106.9139 +James Town,41.5653,-109.5394 +Star Valley Ranch,42.9796,-110.9621 +Cora,42.9577,-109.9917 +Wapiti,44.4686,-109.4377 +Marbleton,42.5574,-110.1005 +Buffalo,44.3426,-106.7138 +Red Buttes,41.1825,-105.5947 +Rock Springs,41.595,-109.2237 +Bonneville,43.2688,-108.0734 +Hartrandt,42.8836,-106.3492 +Thayer Junction,41.6869,-108.9112 +Etna,43.0334,-111.0129 +Slater,41.8776,-104.7887 +Hulett,44.6829,-104.5981 +Lander,42.8313,-108.7599 +Hartville,42.3277,-104.7245 +South Torrington,42.0497,-104.1794 +Saddlestring,44.455,-106.8973 +East Thermopolis,43.6441,-108.198 +Manville,42.7794,-104.6173 +Bryan,41.5705,-109.6821 +Bear River,41.3859,-111.027 +Fort Bridger,41.3183,-110.3895 +Rawlins,41.7848,-107.2265 +Rock River,41.7317,-105.9752 +Rockypoint,44.9072,-105.0955 +Newcastle,43.851,-104.2124 +Spotted Horse,44.7083,-105.835 +Lake,44.5583,-110.3966 +Van Tassell,42.6643,-104.0913 +Hawk Springs,41.7852,-104.265 +New Haven,44.7442,-104.8447 +Red Butte,42.8051,-106.4339 +Douglas,42.7541,-105.3969 +Guernsey,42.2658,-104.743 +Ulm,44.6516,-106.5892 +Bordeaux,41.9361,-104.8447 +Manderson,44.2699,-107.9641 +Burris,43.3641,-109.2749 +Echeta,44.458,-105.8764 +Cokeville,42.0713,-110.9598 +Wamsutter,41.6679,-107.979 +Wright,43.7484,-105.4963 +Moorcroft,44.2645,-104.9475 +Egbert,41.1697,-104.2569 +Sage,41.8136,-110.9582 +Byron,44.7964,-108.5081 +Auburn,42.7944,-111.0135 +Hill View Heights,43.8159,-104.1517 +Rozet,44.278,-105.2061 +Bessemer Bend,42.7576,-106.5237 +Casper,42.8421,-106.3208 +Lonetree,41.0273,-110.1536 +Bar Nunn,42.922,-106.3474 +Pine Bluffs,41.1803,-104.0692 +Y-O Ranch,42.0351,-104.9229 +Cody,44.5212,-109.055 +Hamilton Dome,43.7733,-108.5757 +Kane,44.8436,-108.2029 +Sleepy Hollow,44.2327,-105.4309 +Gillette,44.2779,-105.5004 +Monell,41.5905,-108.484 +Veteran,41.9627,-104.3863 +Hudson,42.9028,-108.5819 +Orchard Valley,41.0966,-104.8194 +Orpha,42.8547,-105.5036 +Lovell,44.8358,-108.3918 +Elk Mountain,41.6883,-106.4135 +Wyarno,44.8133,-106.774 +Elkol,41.7238,-110.6124 +Kinnear,43.1519,-108.6776 +Woods Landing,41.1105,-106.0133 +Altamont,41.1922,-110.7896 +Moose Wilson Road,43.5315,-110.834 +Parkerton,42.8511,-105.9731 +McFadden,41.6544,-106.1306 +Table Rock,41.622,-108.404 +Powder River,43.049,-106.9929 +Moose,43.6558,-110.7183 +Esterbrook,42.4062,-105.3859 +Garland,44.7777,-108.6542 +Owl Creek,43.7819,-108.5679 +Carpenter,41.0456,-104.3644 +Pinedale,42.8676,-109.8706 +Farthing,41.5464,-105.2153 +Edgerton,43.4141,-106.248 +Smoot,42.6191,-110.9197 +Fairview,42.6871,-110.9866 +Chugcreek,42.0535,-104.9079 +Arapahoe,42.9912,-108.4562 +West Thumb,44.4155,-110.5755 +Banner,44.6014,-106.8653 +Wheatland,42.0516,-104.9595 +Evanston,41.2602,-110.9646 +Thermopolis,43.6479,-108.2139 +Walcott,41.7611,-106.845 +Sheridan,44.7949,-106.9611 +Farson,42.1528,-109.4282 +Tie Siding,41.0803,-105.5075 +Leiter,44.718,-106.2692 +Hanna,41.8698,-106.5596 +Riverton,43.0426,-108.414 +Fort Washakie,43.0069,-108.9205 +Hillsdale,41.208,-104.4744 +Paradise Valley,42.8175,-106.3984 +Hoback,43.3082,-110.7443 +Grover,42.7947,-110.9294 +Mammoth,44.9733,-110.6928 +Johnstown,43.1118,-108.6955 +Devils Tower,44.5892,-104.6966 +Kelly,43.6228,-110.6275 +Emblem,44.5058,-108.3918 +Almy,41.3316,-111.0046 +Quealy,41.5383,-109.2226 +Bondurant,43.1948,-110.4026 +Sundance,44.4048,-104.3623 +Morton,43.2005,-108.7746 +Hyattville,44.2498,-107.6148 +Carter,41.4405,-110.4303 +Whiting,42.0089,-104.9711 +Lusk,42.7612,-104.4584 +Sand Draw,42.7605,-108.1815 +Ranchettes,41.2185,-104.773 +Savery,41.025,-107.4498 +Shoshoni,43.238,-108.1068 +Ranchester,44.9078,-107.1662 +Moran,43.8416,-110.5077 +Lucerne,43.7136,-108.1872 +Muddy Gap,42.3516,-107.4573 +Arminto,43.1789,-107.2576 +Big Piney,42.5401,-110.1192 +Osage,43.9847,-104.4268 +Teton Village,43.5931,-110.8441 +New London,43.4139,-71.9845 +Peterborough,42.879,-71.9594 +Union,43.4912,-71.0231 +Walpole,43.0792,-72.4236 +Enfield,43.6447,-72.1482 +Suncook,43.1382,-71.4529 +Sanbornville,43.5524,-71.03 +Blodgett Landing,43.3757,-72.0392 +Milford,42.8325,-71.6614 +Marlborough,42.905,-72.2117 +Contoocook,43.2232,-71.7129 +Newfields,43.0354,-70.9391 +Pinardville,43.001,-71.5171 +North Sutton,43.364,-71.9395 +Exeter,42.9776,-70.9467 +South Hooksett,43.0337,-71.4256 +Center Sandwich,43.8085,-71.4394 +Hancock,42.9739,-71.9803 +Antrim,43.0378,-71.9461 +Newport,43.367,-72.1766 +West Stewartstown,44.9906,-71.5309 +Keene,42.9494,-72.2997 +Georges Mills,43.4317,-72.0673 +Concord,43.2305,-71.5595 +Belmont,43.443,-71.478 +Twin Mountain,44.2723,-71.539 +Durham,43.1413,-70.9229 +Manchester,42.9848,-71.4447 +Glen,44.1101,-71.1826 +North Haverhill,44.0938,-72.0272 +Rochester,43.299,-70.9787 +Winchester,42.7769,-72.385 +Wilton,42.847,-71.7359 +Bennington,43.0036,-71.9206 +Melvin Village,43.6894,-71.3035 +Pittsfield,43.2997,-71.3322 +Wolfeboro,43.5913,-71.2092 +Claremont,43.379,-72.3368 +Troy,42.8257,-72.1828 +East Merrimack,42.8672,-71.4838 +Berlin,44.4869,-71.2599 +Newmarket,43.0754,-70.9392 +Milton Mills,43.5037,-70.9654 +Hooksett,43.0942,-71.4561 +North Conway,44.0524,-71.1247 +Hinsdale,42.7884,-72.4891 +Warner,43.2843,-71.824 +Portsmouth,43.058,-70.7826 +Groveton,44.6048,-71.5201 +Londonderry,42.8507,-71.362 +Epping,43.0345,-71.0902 +Whitefield,44.3717,-71.6106 +Amherst,42.8637,-71.6239 +Derry,42.8941,-71.2848 +Greenville,42.7729,-71.8009 +Center Ossipee,43.7543,-71.1514 +Hampton Beach,42.9142,-70.8128 +Somersworth,43.2534,-70.8856 +Winona,43.6662,-71.5581 +Littleton,44.3211,-71.7638 +Bartlett,44.0734,-71.282 +Colebrook,44.8946,-71.4951 +Dover,43.1887,-70.8845 +Bradford,43.2715,-71.9624 +Lincoln,44.0555,-71.6706 +Meredith,43.6582,-71.5044 +Laconia,43.5724,-71.4775 +New Hampton,43.6096,-71.6509 +Franklin,43.4499,-71.6691 +Charlestown,43.2366,-72.4242 +Conway,43.9845,-71.1181 +North Woodstock,44.0364,-71.6895 +Lebanon,43.6353,-72.2531 +Canaan,43.6503,-72.0159 +Seabrook Beach,42.885,-70.8234 +Bethlehem,44.2792,-71.6881 +Lancaster,44.4895,-71.574 +Farmington,43.3995,-71.0724 +Hudson,42.7641,-71.4315 +North Walpole,43.1469,-72.4459 +Henniker,43.1815,-71.8188 +Plainfield,43.5343,-72.3536 +Goffstown,43.0212,-71.5993 +Loudon,43.2828,-71.4647 +Jaffrey,42.8133,-72.0228 +West Swanzey,42.8707,-72.3225 +Raymond,43.0333,-71.1714 +Alton,43.4564,-71.2216 +Milton,43.4036,-70.9899 +Hanover,43.7068,-72.2775 +Woodsville,44.1452,-72.0288 +Plymouth,43.7413,-71.6935 +Bristol,43.6005,-71.7404 +Ashland,43.6956,-71.6335 +North Stratford,44.7517,-71.6287 +Hampton,42.9428,-70.8261 +Nashua,42.7491,-71.491 +Mountain Lakes,44.1206,-71.958 +Lisbon,44.2126,-71.909 +Rye Beach,42.9768,-70.7656 +Gorham,44.3922,-71.185 +Old Bridge,40.3946,-74.3323 +Somers Point,39.3167,-74.6066 +Franklinville,39.6182,-75.0757 +Allamuchy,40.9222,-74.8116 +Laurel Springs,39.8213,-75.0053 +West Belmar,40.1707,-74.0376 +Pomona,39.4687,-74.5501 +Avon-by-the-Sea,40.1914,-74.0162 +Columbia,40.926,-75.0945 +Singac,40.8849,-74.243 +Ralston,40.7712,-74.6252 +Bayonne,40.6659,-74.1141 +Ridgefield Park,40.8543,-74.0201 +Towaco,40.922,-74.3454 +Sewell,39.7665,-75.1443 +Navesink,40.4021,-74.0387 +Lake Pine,39.8659,-74.8493 +Cinnaminson,39.9968,-74.9927 +Budd Lake,40.8733,-74.7374 +Pottersville,40.7137,-74.7218 +Closter,40.9733,-73.9604 +Robertsville,40.3395,-74.2939 +Buttzville,40.8313,-75.0052 +Belmar,40.1798,-74.0255 +Independence Corner,41.2101,-74.5513 +Millhurst,40.2537,-74.3415 +Island Heights,39.9423,-74.1454 +Beach Haven West,39.6702,-74.2337 +Wenonah,39.7913,-75.1486 +Leisure Village,40.0445,-74.1852 +Cedar Glen Lakes,39.9527,-74.3995 +Etra,40.2526,-74.5068 +Sicklerville,39.7173,-74.9693 +Somerdale,39.8454,-75.0218 +Libertyville,41.2398,-74.6543 +Millstone,40.5002,-74.592 +Springside,40.0604,-74.8504 +Bloomingdale,41.03,-74.3319 +Windsor,40.2423,-74.5813 +Burleigh,39.0489,-74.8464 +Avenel,40.5839,-74.272 +Swedesboro,39.7458,-75.3117 +Allentown,40.1777,-74.5873 +Lakehurst,40.0133,-74.3201 +Moonachie,40.8409,-74.059 +Burlington,40.0783,-74.8523 +South Branch,40.544,-74.6968 +Peapack,40.7168,-74.6565 +Somerset,40.5083,-74.501 +Morganville,40.3756,-74.2444 +Ocean City,39.2682,-74.6019 +Hibernia,40.944,-74.4927 +Diamond Beach,38.9587,-74.852 +Metuchen,40.5424,-74.3628 +Hamilton,40.2071,-74.0813 +Hammonton,39.6572,-74.7678 +Atco,39.7698,-74.8874 +Manalapan,40.2573,-74.3957 +Highlands,40.4036,-73.9899 +Paramus,40.9455,-74.0712 +Seabrook Farms,39.5015,-75.219 +Seaside Heights,39.9452,-74.0787 +Hoboken,40.7453,-74.0279 +Victory Lakes,39.6304,-74.9661 +Slackwoods,40.2532,-74.7346 +Mystic Island,39.5659,-74.3831 +Hurdtown,40.9701,-74.599 +Lyons,40.6854,-74.5471 +Deal,40.2497,-73.9976 +Woodcliff Lake,41.0253,-74.0604 +Eatontown,40.2913,-74.0558 +Cedarville,39.3382,-75.2068 +Stanhope,40.9142,-74.7027 +Allenwood,40.1384,-74.1032 +New Providence,40.6996,-74.4034 +North Caldwell,40.8629,-74.2576 +North Middletown,40.439,-74.1184 +Cherry Hill Mall,39.9384,-75.0117 +Belford,40.4262,-74.0804 +Magnolia,39.8562,-75.0365 +South River,40.4455,-74.3784 +Fort Dix,40.006,-74.6089 +Crestwood Village,39.9568,-74.3524 +Hopatcong,40.9541,-74.6593 +Pluckemin,40.6457,-74.639 +Kenvil,40.8747,-74.6274 +Columbus,40.0726,-74.7207 +Franklin Lakes,41.0086,-74.2083 +Mount Holly,39.9929,-74.7877 +Leonardo,40.4191,-74.0599 +Longport,39.3136,-74.5261 +Colts Neck,40.2876,-74.1724 +Vernon,41.1984,-74.4832 +Mount Freedom,40.8262,-74.5702 +Brainards,40.7718,-75.17 +New Vernon,40.7454,-74.4974 +Bloomsbury,40.6537,-75.084 +Manville,40.5421,-74.5892 +Chatsworth,39.8176,-74.5349 +Cedar Glen West,40.0418,-74.2852 +Califon,40.7193,-74.8372 +Tinton Falls,40.2709,-74.0948 +Westmont,39.9098,-75.0479 +Harvey Cedars,39.6996,-74.1421 +Madison,40.7586,-74.4171 +Glen Rock,40.9601,-74.1249 +Emerson,40.9748,-74.024 +Flanders,40.8457,-74.6949 +Atlantic Highlands,40.4112,-74.0295 +Guttenberg,40.7927,-74.0047 +Leisure Village West,40.0103,-74.2806 +Clinton,40.6359,-74.9125 +Cape May,38.9409,-74.9042 +Albion,39.7787,-74.9549 +Rockaway,40.8969,-74.5155 +Branchville,41.1471,-74.7495 +Egg Harbor City,39.564,-74.5961 +Lambertville,40.3688,-74.943 +Totowa,40.9039,-74.2214 +Lebanon,40.6433,-74.8351 +Gloucester City,39.8924,-75.1173 +Roseville,40.9576,-74.6916 +Oak Ridge,41.0462,-74.486 +Lake Como,40.1706,-74.0262 +Pine Ridge at Crestwood,39.9585,-74.3169 +Wanaque,41.044,-74.29 +Beach Glen,40.9298,-74.4863 +Montvale,41.0529,-74.0499 +Mount Hermon,40.9269,-74.993 +Fenwick,39.6176,-75.3369 +East Rutherford,40.8179,-74.0854 +Cranberry Lake,40.9543,-74.7466 +Plainfield,40.6154,-74.4157 +Spotswood,40.3949,-74.392 +Paterson,40.9147,-74.1624 +Fair Haven,40.3619,-74.0392 +Mill Brook,40.8645,-74.5574 +Woodport,40.9854,-74.6104 +Harlingen,40.4493,-74.6585 +Finesville,40.6112,-75.1707 +Lakewood,40.0942,-74.2117 +Interlaken,40.235,-74.0166 +Clayton,39.6627,-75.0782 +Silver Ridge,39.962,-74.2358 +West New York,40.7856,-74.0093 +Mount Bethel,40.6376,-74.5146 +Smithville,39.4934,-74.4782 +Netcong,40.8985,-74.7019 +Ringwood,41.1064,-74.2749 +Woodstown,39.6503,-75.3251 +Stirling,40.672,-74.4949 +Keyport,40.4327,-74.2011 +Quinton,39.5473,-75.4085 +Brielle,40.1048,-74.0636 +Saddle River,41.0273,-74.0956 +Belleplain,39.2662,-74.8672 +Erma,38.9971,-74.8932 +Hurffville,39.7626,-75.1082 +Pine Lake Park,40.0017,-74.2595 +Hornerstown,40.1062,-74.514 +River Edge,40.9268,-74.0387 +Southard,40.1384,-74.2249 +Johnsonburg,40.9651,-74.8783 +Kenilworth,40.6781,-74.289 +Monroe,41.1145,-74.6341 +Red Bank,40.3481,-74.0672 +Stone Harbor,39.0437,-74.7687 +Sea Bright,40.3653,-73.9769 +Perth Amboy,40.5203,-74.2724 +Milltown,40.4504,-74.4351 +Ridgewood,40.9822,-74.1127 +McAfee,41.1784,-74.5404 +Edgewater Park,40.0682,-74.9007 +Barnsboro,39.7618,-75.1599 +Ross Corner,41.1275,-74.7134 +Leonia,40.8638,-73.9899 +Wildwood,38.9877,-74.8188 +Vernon Valley,41.2396,-74.4833 +Princeton Meadows,40.3333,-74.5628 +Groveville,40.1678,-74.6514 +Mount Royal,39.8101,-75.2113 +Beattystown,40.8222,-74.8502 +Kearny,40.7528,-74.1202 +Landing,40.9051,-74.6652 +New Egypt,40.0644,-74.5284 +Freewood Acres,40.169,-74.2379 +Hopewell,40.3893,-74.7638 +Hamburg,41.1485,-74.5736 +Leesburg,39.2568,-74.9874 +Hackensack,40.889,-74.0461 +Edinburg,40.2582,-74.616 +Augusta,41.129,-74.7282 +Bedminster,40.6807,-74.6454 +Mendham,40.7687,-74.6003 +New Sharon,40.2062,-74.5504 +Monmouth Junction,40.381,-74.5435 +Manasquan,40.1183,-74.0446 +North Wildwood,39.0047,-74.799 +Phillipsburg,40.6895,-75.1821 +Tansboro,39.769,-74.9196 +Buddtown,39.9393,-74.7029 +Toms River,39.9931,-74.1856 +Oceanport,40.316,-74.0205 +Blackwood,39.7982,-75.0629 +Bergenfield,40.9235,-73.9982 +Silverton,40.016,-74.1449 +Sharptown,39.6557,-75.3652 +Fanwood,40.6417,-74.3857 +Little Silver,40.3357,-74.0346 +Jefferson,39.7537,-75.2118 +Harmony,40.7501,-75.1401 +North Cape May,38.9765,-74.9516 +Pennsville,39.6508,-75.5077 +Neshanic Station,40.5082,-74.7302 +Pleasant Plains,40.4523,-74.5696 +Elizabeth,40.6657,-74.1912 +Bradley Beach,40.2018,-74.0121 +Everett,40.3543,-74.1465 +Sussex,41.2095,-74.6079 +Hawthorne,40.9579,-74.1581 +Port Norris,39.2521,-75.0412 +Montville,40.9148,-74.3838 +Ridgefield,40.8313,-74.0147 +Fords,40.5416,-74.3124 +New Milford,40.9337,-74.0196 +Chatham,40.7405,-74.3838 +Alpine,40.9615,-73.9199 +Highland Park,40.5006,-74.4283 +Macopin,41.0523,-74.3888 +Matawan,40.4127,-74.2365 +Upper Saddle River,41.0633,-74.0986 +Pompton Lakes,41.0024,-74.2859 +Repaupo,39.7998,-75.2988 +Mount Arlington,40.919,-74.639 +Deans,40.4043,-74.516 +Westfield,40.6515,-74.3433 +Leisure Knoll,40.0186,-74.2908 +Bordentown,40.1494,-74.7084 +Fort Lee,40.8509,-73.9712 +Basking Ridge,40.7062,-74.5493 +Scobeyville,40.2971,-74.1432 +North Arlington,40.7875,-74.1273 +Prospect Park,40.938,-74.1736 +Pleasantville,39.39,-74.5169 +South Bound Brook,40.5535,-74.5277 +Homestead Park,40.6901,-74.4502 +Glen Ridge,40.8041,-74.2043 +Ironia,40.8229,-74.6257 +Owens,41.2637,-74.5279 +Riverton,40.0115,-75.0148 +Wharton,40.8999,-74.5808 +Union Beach,40.4454,-74.1699 +Marksboro,40.9881,-74.9061 +Audubon,39.8906,-75.0722 +Haddon Heights,39.8791,-75.0645 +Waterford Works,39.7232,-74.8491 +Ashland,39.8782,-75.0085 +Oradell,40.9562,-74.0314 +Haworth,40.9622,-73.9976 +Hazlet,40.4157,-74.191 +Flemington,40.5087,-74.8599 +Seaside Park,39.9259,-74.0782 +Short Hills,40.7389,-74.3278 +Moorestown,39.9671,-74.9427 +Bellmawr,39.8665,-75.0941 +Brigantine,39.4138,-74.3787 +White Meadow Lake,40.924,-74.5121 +Troy Hills,40.8529,-74.3921 +Demarest,40.955,-73.9567 +Audubon Park,39.8969,-75.089 +Sea Girt,40.1307,-74.0354 +Dumont,40.9452,-73.9923 +Deepwater,39.6834,-75.4905 +Presidential Lakes Estates,39.915,-74.5648 +Adelphia,40.2182,-74.2563 +Vineland,39.4653,-74.9981 +Helmetta,40.3777,-74.4239 +Locust,40.3946,-74.0263 +Awosting,41.1545,-74.3365 +Rancocas Woods,39.989,-74.8602 +Boonton,40.9047,-74.4048 +Summit,40.7154,-74.3647 +Brooklawn,39.8788,-75.1207 +Griggstown,40.44,-74.5989 +Carteret,40.5848,-74.2284 +Margate City,39.3307,-74.5071 +Society Hill,40.5344,-74.4577 +Vista Center,40.1584,-74.3227 +Rocky Hill,40.4002,-74.6405 +North Branch,40.602,-74.6774 +Tenafly,40.9175,-73.9531 +Cliffwood Beach,40.4426,-74.2178 +Lower Squankum,40.1587,-74.1568 +Lake Hiawatha,40.8826,-74.3815 +Asbury,40.7003,-75.0121 +Auburn,39.7109,-75.3677 +Delanco,40.0507,-74.9535 +Concordia,40.3117,-74.4477 +Shiloh,39.4595,-75.297 +Tabernacle,39.844,-74.7102 +Runnemede,39.8521,-75.0739 +Olivet,39.5402,-75.1727 +Gillette,40.674,-74.466 +Woodland Park,40.8898,-74.1949 +Parsippany,40.8579,-74.426 +Holmdel,40.3451,-74.184 +West Berlin,39.8087,-74.9413 +Fries Mill,39.6562,-75.0452 +Dover Beaches South,39.9538,-74.0798 +Hainesburg,40.9544,-75.063 +Atsion,39.7426,-74.726 +Pitman,39.7335,-75.1306 +Oaklyn,39.9023,-75.0813 +Rudeville,41.1495,-74.5446 +Wood-Lynne,39.9167,-75.0957 +Linwood,39.3435,-74.5708 +Yardville,40.1849,-74.6604 +Allendale,41.0333,-74.1333 +Lincroft,40.3391,-74.1283 +South Amboy,40.4852,-74.2831 +Sewaren,40.5508,-74.2602 +Alpha,40.6598,-75.1571 +Victory Gardens,40.8762,-74.5435 +Port Republic,39.5328,-74.4852 +Brass Castle,40.7621,-75.0141 +Loch Arbour,40.2323,-74.0014 +Waldwick,41.0133,-74.1258 +Ocean Acres,39.743,-74.2804 +Jersey City,40.7161,-74.0682 +Cedar Knolls,40.822,-74.4488 +Ten Mile Run,40.4218,-74.589 +South Plainfield,40.5748,-74.4153 +Hackettstown,40.854,-74.8257 +Lafayette,41.0984,-74.6885 +Roosevelt,40.2212,-74.4729 +Absecon,39.4228,-74.4944 +Raritan,40.5731,-74.6431 +Middlebush,40.5015,-74.5349 +Great Meadows,40.877,-74.9034 +Laurel Lake,39.3265,-75.0305 +Trenton,40.2237,-74.764 +Collingwood Park,40.2223,-74.1338 +Lakeside,41.1818,-74.336 +Lake Telemark,40.9605,-74.4967 +Kingston,40.3816,-74.6114 +Union City,40.7674,-74.0323 +Highland Lakes,41.1716,-74.4643 +Weston,40.5224,-74.5765 +Garfield,40.8791,-74.1085 +Glenwood,41.2512,-74.4896 +Golden Triangle,39.9288,-75.0398 +Pine Valley,39.787,-74.9742 +Pine Brook,40.8604,-74.3404 +Old Tappan,41.0163,-73.9856 +Readington,40.5687,-74.7377 +Glendora,39.8405,-75.0678 +Clarksville,40.2965,-74.6802 +Upper Montclair,40.8428,-74.2014 +Beverly,40.065,-74.9221 +Morristown,40.7966,-74.4772 +Taylortown,40.9379,-74.3946 +Marcella,40.987,-74.4743 +Marshalltown,39.6376,-75.4533 +Leisuretowne,39.8987,-74.7052 +Woods Tavern,40.5023,-74.6446 +Wickatunk,40.3501,-74.2479 +Pennington,40.3264,-74.7906 +West Long Branch,40.2883,-74.0185 +Ocean Grove,40.2119,-74.0078 +Green Village,40.7393,-74.4535 +Blue Anchor,39.6896,-74.8827 +Voorhees,40.4822,-74.4924 +Bradley Gardens,40.5711,-74.6679 +Leisure Village East,40.0384,-74.1678 +Millville,39.3903,-75.0561 +Shark River Hills,40.1922,-74.0463 +Lavallette,39.9697,-74.0718 +West Creek,39.6346,-74.3071 +Bennetts Mills,40.129,-74.2751 +Farmingdale,40.1985,-74.1702 +Newport,39.2968,-75.1766 +Northfield,39.3718,-74.5543 +Lincoln Park,40.9239,-74.3035 +Gladstone,40.7226,-74.6654 +Lenola,39.9623,-74.9824 +Kresson,39.8576,-74.9213 +Twin Rivers,40.263,-74.4917 +Newark,40.7245,-74.1725 +Frenchtown,40.5273,-75.0571 +Bernardsville,40.7268,-74.5918 +Ventnor City,39.3457,-74.486 +Washington,40.7587,-74.9825 +Andover,40.9859,-74.7429 +Folsom,39.5928,-74.8424 +Ewansville,39.9784,-74.7352 +Camden,39.9361,-75.1073 +Robbinsville,40.2196,-74.6285 +Darlington,41.0804,-74.1821 +Penns Neck,40.3323,-74.6368 +Broadway,40.7355,-75.0495 +Buena,39.5282,-74.9448 +Whitesboro,39.0417,-74.8674 +Garwood,40.6513,-74.3231 +Land of Pines,40.1582,-74.2288 +Sparta,41.0334,-74.6385 +Far Hills,40.6907,-74.6258 +Evesboro,39.9134,-74.9235 +Red Lion,39.8896,-74.7446 +Anderson,40.7617,-74.9301 +Spring Lake Heights,40.1522,-74.043 +Butler,40.9989,-74.3472 +Winslow,39.6573,-74.8624 +Millington,40.6773,-74.5177 +Paulsboro,39.84,-75.2397 +Linden,40.6251,-74.2381 +Tavistock,39.8758,-75.0272 +Bay Head,40.07,-74.048 +West Freehold,40.2324,-74.2943 +Tennent,40.2796,-74.3343 +Bakersville,40.2748,-74.7063 +Brookfield,40.8184,-75.0613 +Manahawkin,39.693,-74.2493 +Berlin,39.7915,-74.9375 +Whitman Square,39.7459,-75.0343 +Florham Park,40.7772,-74.3953 +Pellettown,41.1615,-74.6746 +Long Branch,40.2965,-73.9915 +Princeton Junction,40.3207,-74.6236 +Harrington Park,40.9899,-73.9803 +Maple Shade,39.9526,-74.9924 +Gilford Park,39.9487,-74.1371 +Bridgeport,39.8009,-75.3474 +Ship Bottom,39.6458,-74.1832 +Lodi,40.8784,-74.0815 +Hasbrouck Heights,40.8619,-74.0741 +Golf View,39.7007,-75.4694 +Collings Lakes,39.5939,-74.8821 +Ho-Ho-Kus,41.0001,-74.0972 +Point Pleasant Beach,40.0928,-74.0456 +Teterboro,40.8579,-74.0594 +Fairton,39.3758,-75.213 +Bridgeton,39.4286,-75.2281 +Dunellen,40.5903,-74.4656 +Long Valley,40.7825,-74.7777 +Succasunna,40.8507,-74.6596 +Hightstown,40.2686,-74.5253 +Plainsboro Center,40.3311,-74.5937 +Hancocks Bridge,39.5046,-75.4612 +Chesilhurst,39.7307,-74.8786 +Riviera Beach,40.0979,-74.1001 +Gibbsboro,39.8332,-74.9657 +Rossmoor,40.3361,-74.4726 +Riverside Park,40.0384,-74.9746 +Mount Fern,40.8657,-74.5785 +Barnegat Light,39.753,-74.1081 +Rahway,40.6077,-74.2807 +Delaware,40.8907,-75.0665 +Green Knoll,40.6048,-74.615 +Piscataway,40.4993,-74.399 +Clyde,40.4874,-74.5132 +East Hanover,40.8201,-74.3649 +Woodbury,39.8379,-75.1524 +Green Grove,40.2343,-74.0774 +Riverside,40.0323,-74.9574 +Dennisville,39.1932,-74.8252 +Cliffwood,40.4368,-74.2396 +Glenside,39.6665,-75.4883 +Pedricktown,39.7612,-75.4077 +Marlboro,40.3154,-74.2463 +Monmouth Beach,40.3364,-73.9863 +North Bergen,40.8043,-74.0121 +East Freehold,40.2718,-74.2425 +Allenhurst,40.2362,-74.0017 +Englishtown,40.2971,-74.3607 +Star Cross,39.6465,-75.0152 +Kendall Park,40.4138,-74.5626 +Princeton,40.3562,-74.6693 +Penns Grove,39.7275,-75.4691 +South Toms River,39.9417,-74.2087 +East Trenton Heights,40.2587,-74.7099 +High Bridge,40.6684,-74.894 +Roselle Park,40.6653,-74.2666 +Willingboro,40.0279,-74.8691 +Port Colden,40.7684,-74.9541 +Stockholm,41.0895,-74.5171 +Oak Valley,39.8055,-75.1589 +Thorofare,39.8423,-75.1963 +New Brunswick,40.487,-74.445 +Ramblewood,39.9322,-74.9527 +East Millstone,40.5011,-74.5661 +Wood-Ridge,40.8508,-74.0878 +Clementon,39.8046,-74.9851 +Bound Brook,40.5676,-74.5382 +Strathmore,40.4018,-74.2193 +Mountainside,40.6811,-74.36 +Annandale,40.6468,-74.8881 +Cliffside Park,40.8221,-73.988 +Westville,39.8705,-75.1302 +Salem,39.5681,-75.4724 +Harrison,40.7431,-74.1531 +Whitehouse Station,40.6159,-74.772 +Edgewater,40.8237,-73.974 +Somerville,40.5696,-74.6092 +Palmyra,40.0025,-75.036 +Nesco,39.6382,-74.6965 +Middlesex,40.5744,-74.5011 +Estell Manor,39.3587,-74.7751 +Colonia,40.5929,-74.3151 +Cedar Brook,39.7154,-74.9007 +Jobstown,40.0371,-74.6929 +Clarksburg,40.1887,-74.4407 +North Haledon,40.9628,-74.1844 +Sea Isle City,39.1523,-74.6976 +Cassville,40.1046,-74.3865 +Kingston Estates,39.9188,-74.9898 +Hope,40.9098,-74.9647 +Iselin,40.5702,-74.317 +Imlaystown,40.1676,-74.5152 +Midland Park,40.9952,-74.1411 +West Cape May,38.9423,-74.9378 +Ramtown,40.1144,-74.1492 +Mount Hope,40.9262,-74.5427 +Prospect Plains,40.324,-74.471 +Martinsville,40.603,-74.5751 +Fairview,40.8182,-74.0022 +Cape May Court House,39.079,-74.8211 +Oxford,40.8052,-74.9966 +Stratford,39.829,-75.0156 +Apshawa,41.0176,-74.3629 +Sayreville,40.4656,-74.3237 +Lawnside,39.8673,-75.0289 +Beemerville,41.2107,-74.6916 +Mickleton,39.7901,-75.2377 +Woodbridge,40.555,-74.2846 +Glen Gardner,40.7004,-74.9395 +Mount Ephraim,39.8806,-75.0917 +Belle Mead,40.4645,-74.6725 +Green Pond,41.0173,-74.4777 +Wildwood Crest,38.9718,-74.8376 +Tuckerton,39.5974,-74.3306 +Carlstadt,40.8247,-74.0613 +Hampton,40.7069,-74.9642 +Brunswick Gardens,40.3907,-74.3363 +Turnersville,39.7666,-75.0614 +Bogota,40.875,-74.0293 +Pine Hill,39.7879,-74.9857 +Mountain Lakes,40.8907,-74.4407 +Mercerville,40.236,-74.6916 +Masonville,39.9784,-74.8702 +Unionville,40.0054,-74.7646 +Palisades Park,40.8472,-73.9967 +North Beach Haven,39.6009,-74.2119 +Mount Olive,40.8515,-74.7329 +Rosenhayn,39.4787,-75.138 +North Plainfield,40.6209,-74.4386 +New Village,40.7184,-75.0774 +Ogdensburg,41.0769,-74.5973 +Forked River,39.8202,-74.1456 +Lumberton,39.9659,-74.8052 +Cream Ridge,40.1351,-74.524 +Smalleytown,40.6559,-74.4782 +Finderne,40.5626,-74.5743 +Browntown,40.4018,-74.3065 +Milford,40.5694,-75.0916 +Cresskill,40.9405,-73.9596 +Mount Rose,40.3693,-74.739 +Keansburg,40.4469,-74.1316 +Wanamassa,40.2365,-74.0294 +Barnegat,39.7547,-74.2224 +Richwood,39.714,-75.1734 +McCoys Corner,41.1979,-74.6302 +Jacksons Mills,40.1479,-74.324 +Fair Lawn,40.9359,-74.1177 +Bridgeville,40.8371,-75.0244 +Madison Park,40.4461,-74.2959 +Port Reading,40.5669,-74.2475 +Mine Hill,40.8779,-74.5938 +Rumson,40.3626,-74.0046 +Woodbine,39.2283,-74.8095 +East Orange,40.7651,-74.2117 +Plainsboro,40.3334,-74.6004 +Medford Lakes,39.8582,-74.8056 +Corbin City,39.3047,-74.7199 +Colesville,41.2751,-74.6499 +Plumbsock,41.2187,-74.6707 +Roebling,40.1167,-74.7775 +Cranbury,40.3102,-74.5168 +Brookside,40.7943,-74.5679 +Gibbstown,39.8233,-75.2782 +Country Lake Estates,39.9489,-74.5411 +Watchung,40.6432,-74.4391 +Waretown,39.7898,-74.1925 +Marlton,39.9016,-74.9297 +Shrewsbury,40.3249,-74.06 +Fieldsboro,40.1362,-74.7314 +Westwood,40.9878,-74.0308 +Clarksboro,39.7998,-75.2238 +Beckett,39.7565,-75.3564 +Newton,41.0534,-74.7527 +Blairstown,40.985,-74.9579 +Caldwell,40.839,-74.2776 +Oakhurst,40.2607,-74.0263 +Barrington,39.8689,-75.0514 +Northvale,41.0099,-73.9505 +Port Monmouth,40.4337,-74.101 +White Horse,40.192,-74.7022 +Strathmere,39.1944,-74.6618 +Beachwood,39.9286,-74.2023 +Lamington,40.6609,-74.7174 +Eldridge Park,40.2654,-74.7449 +Belvidere,40.8294,-75.0728 +Vienna,40.8698,-74.881 +Freehold,40.2596,-74.2755 +Mays Landing,39.4524,-74.7241 +Pompton Plains,40.9682,-74.2957 +Roseland,40.8208,-74.3086 +Passaic,40.8574,-74.1282 +Cross Keys,39.7134,-75.0296 +Dover Beaches North,39.9921,-74.0713 +Echelon,39.8482,-74.9957 +Monroeville,39.629,-75.1593 +Mantoloking,40.0434,-74.0512 +Ellisburg,39.9199,-75.0093 +Braddock,39.7009,-74.8896 +Blackwells Mills,40.4815,-74.5714 +Van Hiseville,40.1118,-74.3426 +Rutherford,40.8203,-74.1057 +Cape May Point,38.9372,-74.9651 +Hillsdale,41.0074,-74.044 +Chester,40.7874,-74.6921 +Point Pleasant,40.0772,-74.0702 +Lake Mohawk,41.015,-74.6639 +Little Ferry,40.8464,-74.0388 +Newfoundland,41.0465,-74.4352 +Beach Haven,39.5658,-74.2489 +Zarephath,40.5362,-74.5744 +Newfield,39.5484,-75.0167 +Atlantic City,39.3797,-74.4527 +Spring Lake,40.1538,-74.0271 +Essex Fells,40.827,-74.2798 +Dorothy,39.4007,-74.8238 +Asbury Park,40.2226,-74.0117 +Glassboro,39.7014,-75.1113 +Crosswicks,40.1534,-74.6477 +Stewartsville,40.6939,-75.1115 +Roselle,40.6527,-74.2599 +Williamstown,39.6874,-74.9785 +Haledon,40.9363,-74.1887 +Pequannock,40.9523,-74.2988 +Elmer,39.5919,-75.174 +Middletown,40.3943,-74.1171 +Woodstock,40.9954,-74.526 +Mahwah,41.0887,-74.1438 +Skillman,40.4247,-74.7139 +Smithburg,40.209,-74.3529 +Elmwood Park,40.905,-74.1201 +Laurence Harbor,40.4489,-74.2494 +Woodbury Heights,39.816,-75.1512 +Merchantville,39.9502,-75.0504 +Pleasant Grove,40.1246,-74.3429 +Dayton,40.3815,-74.5137 +Whippany,40.8245,-74.4171 +Ramsey,41.0595,-74.1454 +Hainesport,39.9837,-74.8271 +Mantua,39.794,-75.1721 +Jamesburg,40.3494,-74.44 +Rockleigh,41.0025,-73.9327 +Francis Mills,40.1348,-74.3974 +Pemberton Heights,39.9565,-74.6766 +Englewood,40.8917,-73.9736 +Port Murray,40.7913,-74.9137 +Norwood,40.9933,-73.951 +Clearbrook Park,40.3097,-74.4644 +Lindenwold,39.8172,-74.9898 +Hutchinson,40.7818,-75.1252 +Vincentown,39.934,-74.7485 +Englewood Cliffs,40.8822,-73.9466 +Franklin,41.1101,-74.5886 +Weehawken,40.7695,-74.0204 +Collingswood,39.916,-75.0759 +Maywood,40.9025,-74.0634 +Stockton,40.4063,-74.9759 +Lawrenceville,40.3018,-74.7378 +Browns Mills,39.9737,-74.569 +Rio Grande,39.0196,-74.8762 +Pemberton,39.9715,-74.6855 +National Park,39.8676,-75.1853 +Alloway,39.5621,-75.3509 +Carneys Point,39.7075,-75.4673 +Florence,40.1191,-74.8094 +Haddonfield,39.8955,-75.0346 +Petersburg,41.0082,-74.524 +Kinnelon,40.9847,-74.3862 +Springdale,40.607,-74.5088 +Jerseyville,40.2393,-74.2293 +East Newark,40.751,-74.1623 +Branchburg Park,40.5723,-74.6849 +Neptune City,40.2005,-74.0334 +Juliustown,40.0121,-74.6714 +Hewitt,41.1418,-74.3107 +Cherry Hill,39.9348,-75.0307 +Denville,40.8923,-74.4774 +Avalon,39.0906,-74.7357 +Ewan,39.6987,-75.186 +Blawenburg,40.4058,-74.6973 +West Wildwood,39.0005,-74.8234 +Flagtown,40.517,-74.6843 +Yorketown,40.3064,-74.3385 +Mullica Hill,39.7266,-75.2191 +Jacksonville,40.0504,-74.7635 +Rancocas,40.0107,-74.8668 +Hi-Nella,39.8367,-75.022 +Brookdale,40.8348,-74.1798 +Wallington,40.8535,-74.1069 +Ledgewood,40.8812,-74.656 +Ocean Gate,39.9268,-74.135 +Surf City,39.6645,-74.1709 +Holiday Heights,39.9394,-74.2572 +Park Ridge,41.0352,-74.0423 +Morris Plains,40.8357,-74.4786 +Hamilton Square,40.2248,-74.6526 +Heathcote,40.3908,-74.5756 +Brownville,40.4009,-74.2959 +Riverdale,40.9921,-74.3125 +Greentree,39.8989,-74.9614 +Dover,40.8859,-74.5597 +Liberty Corner,40.6648,-74.5774 +Crandon Lakes,41.1234,-74.8403 +Tabor,40.8712,-74.4799 +Clifton,40.8631,-74.1575 +Pine Beach,39.9359,-74.17 +Elwood,39.5731,-74.7148 +Wrightstown,40.0258,-74.6317 +Oakland,41.0313,-74.2408 +Secaucus,40.781,-74.0659 +Villas,39.0157,-74.935 +Navajo Dam,36.7981,-107.7045 +Gascon,35.8867,-105.4461 +Taos Ski Valley,36.5908,-105.4375 +Crownpoint,35.688,-108.1494 +Playas,31.9126,-108.5363 +Tse Bonito,35.6525,-109.0361 +Pleasant Hill,34.5204,-103.0738 +Bayard,32.7583,-108.1336 +Pueblo of Sandia Village,35.2536,-106.5706 +Monero,36.902,-106.8553 +Aden,32.1529,-107.1275 +Virden,32.6889,-109.0015 +Hondo,33.3876,-105.2708 +Timberon,32.6359,-105.6924 +Escabosa,34.9251,-106.29 +Encinal,35.1308,-107.4368 +Seboyeta,35.2241,-107.4049 +La Cueva,35.9417,-105.2492 +Chimayo,35.9976,-105.9363 +Jacona,35.8887,-106.0386 +Tajique,34.76,-106.301 +Sabinal,34.4937,-106.8075 +Questa,36.7114,-105.5936 +Organ,32.4251,-106.6024 +White Signal,32.5724,-108.3512 +El Vado,36.5939,-106.7286 +High Rolls,32.9388,-105.8214 +Los Trujillos,34.6467,-106.7609 +La Huerta,32.4489,-104.2226 +Tome,34.7397,-106.723 +Vaughn,34.6072,-105.2126 +Jemez Springs,35.7732,-106.6909 +Capulin,36.7445,-103.9958 +Ojo Amarillo,36.6942,-108.3704 +Cañon,35.6718,-106.7527 +Gladiola,33.2573,-103.1799 +Correo,34.955,-107.1848 +Sombrillo,35.9802,-106.0353 +Vadito,36.193,-105.6754 +Alire,36.4764,-106.5809 +Santa Ana Pueblo,35.3495,-106.5202 +San Fidel,35.1025,-107.5975 +Ojo Feliz,36.0578,-105.1183 +McIntosh,34.8804,-106.0577 +Alcalde,36.0854,-106.0575 +Sunland Park,31.8195,-106.5948 +Newcomb,36.2834,-108.7082 +San Rafael,35.0878,-107.8895 +Montoya,35.0998,-104.0639 +San Mateo,35.3317,-107.6469 +Raton,36.885,-104.4396 +Canjilon,36.4841,-106.4333 +Chamisal,36.1725,-105.7459 +Mayhill,32.8962,-105.496 +Alameda,35.1867,-106.6181 +Sherman,32.7467,-107.8864 +Nambe,35.8984,-105.9667 +Cuervo,35.0312,-104.4086 +Sedan,36.1445,-103.1305 +Dahlia,35.1214,-105.2769 +Fence Lake,34.669,-108.6801 +Cedar Hill,36.9296,-107.8871 +Pedernal,34.6356,-105.6433 +La Cienega,35.5801,-106.1127 +Isleta,34.9073,-106.6892 +North San Ysidro,35.4747,-105.5661 +Dalies,34.772,-106.8606 +Cañada de los Alamos,35.5926,-105.8597 +Wingate,35.5145,-108.5448 +Mountainair,34.5197,-106.2428 +Truchas,36.0338,-105.8095 +Las Vegas,35.6011,-105.2206 +Mesilla,32.2692,-106.8085 +Lee Acres,36.7103,-108.0725 +Forrest,34.7948,-103.6013 +Carlsbad,32.4067,-104.2376 +Dexter,33.1952,-104.369 +Rio En Medio,35.8221,-105.901 +Sandia Heights,35.1746,-106.4884 +Animas,31.9449,-108.8065 +Los Alamos,35.8926,-106.2862 +Obar,35.535,-103.2013 +Clovis,34.4376,-103.1923 +Lemitar,34.1551,-106.9122 +Cundiyo,35.9564,-105.8971 +La Luz,32.9698,-105.9388 +Columbus,31.8247,-107.6401 +Placitas,35.3226,-106.4436 +Mountain View,32.2289,-107.7462 +Cebolla,36.5383,-106.4864 +Taos Pueblo,36.4656,-105.5635 +Fort Sumner,34.479,-104.2331 +Glencoe,33.4093,-105.4489 +Malaga,32.2227,-104.0692 +Paraje,35.0444,-107.4681 +Elida,33.9443,-103.6552 +Radium Springs,32.4783,-106.9031 +Crocker,33.3423,-107.0306 +Moquino,35.1801,-107.3701 +Lordsburg,32.3438,-108.7021 +Joffre,34.4873,-105.0444 +Loco Hills,32.8197,-103.9781 +Luna,33.8181,-108.9436 +San Felipe Pueblo,35.4338,-106.425 +McCartys,35.0628,-107.6695 +Bluewater,35.255,-107.9856 +Red River,36.7043,-105.4067 +Coolidge,35.447,-108.3634 +Broadview,34.8195,-103.2136 +Maljamar,32.8562,-103.7627 +Abo,34.4559,-106.3331 +Ranchito,36.4042,-105.5978 +Encino,34.6518,-105.4586 +Turley,36.7525,-107.7651 +Casa Colorada,34.5534,-106.742 +Agudo,34.4053,-104.3036 +Tolar,34.4509,-103.9316 +San Juan Pueblo,36.0528,-106.0706 +Clayton,36.4434,-103.1577 +Youngsville,36.1928,-106.566 +Thoreau,35.4209,-108.2235 +Cedar Grove,35.1679,-106.1616 +Brimhall Nizhoni,35.7785,-108.6322 +East Pecos,35.5765,-105.6499 +Three Rivers,33.3215,-106.075 +Cliff,32.966,-108.6176 +Hanover,32.8149,-108.0897 +Los Chavez,34.7332,-106.7632 +Sabinoso,35.6989,-104.408 +Buckhorn,33.0315,-108.6944 +El Cerro,34.7807,-106.6956 +Chama,36.8926,-106.5843 +Maxwell,36.5411,-104.5431 +Endee,35.1378,-103.1077 +Logan,35.3581,-103.4449 +Fort Stanton,33.4959,-105.523 +Orogrande,32.3875,-106.1003 +San Miguel,32.1535,-106.7269 +Chamita,36.0706,-106.0974 +Elk,32.9432,-105.3344 +Twin Lakes,35.6834,-108.7709 +Brazos,36.7528,-106.5598 +Wagon Mound,36.0048,-104.7091 +Afton,32.0729,-106.9442 +Jal,32.1148,-103.19 +Bellview,34.8212,-103.1077 +Dixon,36.1886,-105.8784 +Ruidoso Downs,33.3312,-105.5968 +Silio,34.5892,-105.9342 +Lyden,36.1537,-106.0147 +Negra,34.664,-105.5372 +Abbott,36.3056,-104.2589 +Mosquero,35.7743,-103.9544 +La Plata,36.9232,-108.1932 +Monticello,33.397,-107.4509 +Oasis,32.9277,-107.3164 +Optimo,35.8903,-104.8036 +Shiprock,36.7924,-108.7005 +Dora,33.9322,-103.3369 +Tierra Amarilla,36.7061,-106.5599 +San Lorenzo,32.8086,-107.9221 +Krider,34.434,-103.8441 +Rutheron,36.7186,-106.6117 +Boles Acres,32.8193,-105.9783 +Miami,36.35,-104.7931 +Sheep Springs,36.1564,-108.6906 +Peralta,34.8283,-106.6859 +Aztec,36.819,-107.9823 +Cowles,35.812,-105.6597 +Zia Pueblo,35.52,-106.715 +Picacho,33.3518,-105.145 +Gran Quivira,34.2637,-106.102 +Valmora,35.8164,-104.9231 +Valdez,36.5345,-105.5839 +Bueyeros,35.9795,-103.6872 +Lovington,32.9125,-103.3277 +Medanales,36.1756,-106.1834 +Piñon,32.6182,-105.3867 +Fort Wingate,35.4678,-108.5412 +Milan,35.195,-107.8947 +Grants,35.1538,-107.8335 +Carnuel,35.0609,-106.4587 +Stanley,35.1475,-105.977 +Fruitland,36.7392,-108.3956 +Las Maravillas,34.734,-106.669 +Pinehill,35.0031,-108.408 +Pecos,35.5754,-105.6786 +Willard,34.5948,-106.0314 +Kirtland,36.75,-108.3596 +Sapello,35.7728,-105.2533 +Hatch,32.6682,-107.1642 +Zuni Pueblo,35.0708,-108.8484 +Veguita,34.5147,-106.7678 +Mora,35.9634,-105.3313 +Chloride,33.3387,-107.6778 +Ocate,36.1756,-105.0481 +Upham,32.8865,-107.0022 +Conchas,35.3715,-104.2085 +Cimarron,36.5087,-104.9115 +Cañones,36.1769,-106.4244 +Guadalupita,36.1375,-105.2386 +Prewitt,35.3628,-108.044 +Rio Communities,34.6459,-106.7164 +Bingham,33.889,-106.3725 +Serafina,35.3975,-105.3236 +Engle,33.177,-107.0314 +Glorieta,35.5839,-105.7629 +Chamizal,34.2183,-106.9151 +San Cristobal,36.6101,-105.6318 +Grama,32.7429,-107.0322 +Aragon,33.8899,-108.5201 +Pojoaque,35.8962,-106.0105 +Ponderosa,35.6555,-106.6544 +Beclabito,36.8335,-109.004 +Chical,34.8657,-106.667 +Madrid,35.4032,-106.1538 +Grady,34.8218,-103.3157 +Colmor,36.2206,-104.6494 +Blanco,36.7211,-107.8332 +Yah-ta-hey,35.6216,-108.7919 +Hollywood,33.3234,-105.635 +Lamy,35.4855,-105.8863 +La Mesilla,35.9461,-106.0719 +Los Ranchos de Albuquerque,35.1626,-106.6481 +Fierro,32.8454,-108.0781 +Levy,36.0881,-104.6867 +San Antonito,33.8918,-106.88 +La Villita,36.1001,-106.0514 +Paradise Hills,35.1982,-106.7023 +Sanostee,36.4329,-108.873 +Grenville,36.5931,-103.6134 +Peñasco,36.1703,-105.6907 +La Puebla,35.989,-105.9988 +Texico,34.3897,-103.0513 +Abiquiu,36.2017,-106.3239 +Dunken,32.8129,-105.2025 +Angel Fire,36.3821,-105.2718 +Jemez Pueblo,35.6068,-106.7332 +Escondida,34.1013,-106.8974 +Romeroville,35.5228,-105.2447 +Lake Sumner,34.6186,-104.3801 +Lincoln,33.492,-105.3839 +Algodones,35.3802,-106.4731 +Ute Park,36.5467,-105.1038 +Sunset,33.3395,-105.0753 +La Madera,36.3808,-106.042 +Cerrillos,35.4378,-106.1225 +Los Pinos,36.9883,-106.0645 +Anthony,32.0131,-106.5985 +Whitewater,32.5815,-108.1339 +Jaconita,35.8857,-106.0611 +San Jon,35.1142,-103.3354 +Cubero,35.0903,-107.5264 +San Patricio,33.409,-105.3269 +Estancia,34.7669,-106.0313 +Farmington,36.7555,-108.1823 +Newkirk,35.0635,-104.2716 +Field,34.6287,-103.5655 +Rowe,35.4922,-105.6715 +Rio Rancho,35.2872,-106.6981 +Torrance,34.3412,-105.5281 +Edgewood,35.0614,-106.1914 +El Valle de Arroyo Seco,35.9526,-106.0262 +Sandia Park,35.1648,-106.3657 +Bernardo,34.4187,-106.8336 +Acomita Lake,35.066,-107.6173 +Humble City,32.7951,-103.2191 +Pinedale,35.6039,-108.447 +Villanueva,35.2659,-105.3602 +Whites City,32.1767,-104.3738 +Nageezi,36.2488,-107.7471 +Dulce,36.9399,-107.0049 +Cloverdale,31.417,-108.9298 +South Garcia,34.8809,-107.0809 +Tesuque,35.7487,-105.921 +Lucy,34.652,-105.837 +Allison,35.5242,-108.7851 +Arroyo Hondo,36.5346,-105.6666 +Elephant Butte,33.1806,-107.2269 +Anton Chico,35.1948,-105.1439 +Becker,34.4962,-106.6156 +Santa Teresa,31.8698,-106.671 +Cedro,35.0181,-106.3507 +Rock Springs,35.6088,-108.8293 +Reserve,33.709,-108.7614 +La Joya,34.345,-106.8465 +Bent,33.1473,-105.859 +Cobre,32.7805,-108.1108 +Kingston,32.9173,-107.7097 +Carne,32.2881,-107.5714 +Garfield,32.7569,-107.2664 +Luis Lopez,33.9904,-106.8878 +Lisbon,32.2779,-108.5476 +Rio Lucio,36.1922,-105.72 +Colfax,36.5967,-104.7383 +Bernalillo,35.3127,-106.5537 +Naschitti,36.0625,-108.68 +Regina,36.1947,-106.9453 +El Rito,36.338,-106.1844 +Eagle Nest,36.5495,-105.2593 +Galisteo,35.395,-105.9569 +Chaparral,32.0442,-106.4061 +Windmill,31.9769,-108.6315 +Lake Valley,36.0902,-108.1642 +Ramah,35.1375,-108.4861 +Sacramento,32.7917,-105.5723 +Upper Fruitland,36.7205,-108.3233 +Santa Clara Pueblo,35.9726,-106.0929 +Bosque Farms,34.8538,-106.7011 +French,36.4742,-104.5583 +Santo Domingo Pueblo,35.5174,-106.367 +Nenahnezad,36.7354,-108.4253 +Doña Ana,32.394,-106.8177 +Atoka,32.7783,-104.3931 +Claunch,34.142,-105.9944 +Crystal,36.0281,-108.9911 +Duran,34.4636,-105.3807 +Agua Fria,35.6615,-106.0149 +Gladstone,36.3048,-103.973 +Rehoboth,35.5289,-108.6548 +Largo,34.447,-104.7117 +Midway,33.2958,-104.4518 +Magdalena,34.1095,-107.2318 +Rodarte,36.152,-105.6728 +Holman,36.0384,-105.3836 +Portales,34.1753,-103.3569 +Folsom,36.8483,-103.9186 +Manzano Springs,34.9614,-106.2328 +Lake Arthur,32.9995,-104.3641 +Madrone,34.5792,-106.7285 +Pastura,34.785,-104.9422 +San Juan,32.7609,-107.9053 +Corrales,35.2366,-106.6191 +Redrock,32.6862,-108.7381 +Puerto De Luna,34.8297,-104.6222 +Sena,35.3037,-105.3913 +Pep,33.8362,-103.3355 +Weber City,34.6337,-103.6363 +Armijo,35.0537,-106.6772 +Cloudcroft,32.9532,-105.733 +Boaz,33.7368,-103.9714 +New Laguna,35.0409,-107.422 +Casa Blanca,35.0456,-107.4714 +Acme,33.5923,-104.3286 +Ancho,33.9378,-105.7397 +Rincon,32.6729,-107.0763 +Paguate,35.1356,-107.364 +Gallup,35.5178,-108.7474 +Navajo,35.9024,-109.0321 +San Antonio,33.9161,-106.87 +Polvadera,34.2021,-106.9172 +Domingo,35.5109,-106.32 +Tererro,35.742,-105.675 +Yates,36.1303,-103.9014 +White Rock,35.8075,-106.2067 +Spencerville,36.8191,-108.0561 +Pilar,36.2697,-105.7881 +Florida,32.4159,-107.5767 +Los Lunas,34.8114,-106.7808 +San Pedro,35.228,-106.1848 +Arroyo Seco,36.5215,-105.586 +El Rancho,35.8927,-106.0856 +Velarde,36.1607,-105.966 +Suwanee,34.935,-107.1373 +Chamberino,32.0364,-106.6776 +Tocito,36.3994,-108.7812 +Deming,32.2632,-107.7514 +Arrey,32.8472,-107.3204 +Tecolote,34.0178,-105.6633 +Trujillo,35.5348,-104.6914 +Truth or Consequences,33.1864,-107.2589 +San Ignacio,35.7711,-105.3545 +Tucumcari,35.1701,-103.7042 +Scholle,34.4276,-106.4167 +Manzano,34.6437,-106.3669 +Ranchos de Taos,36.3621,-105.6011 +Vado,32.1279,-106.6571 +Koehler,36.7409,-104.6183 +Santa Ana,35.4792,-105.2956 +Hernandez,36.0567,-106.1186 +Las Nutrias,34.4699,-106.7708 +Apache Creek,33.8487,-108.6141 +Valmont,32.7468,-105.9875 +Floyd,34.2291,-103.5512 +Bosque,34.5601,-106.7892 +Sandia Knolls,35.1604,-106.2987 +Peña Blanca,35.5709,-106.3319 +Waterflow,36.7575,-108.4711 +Ojo Sarco,36.1225,-105.7834 +Mimbres,32.8332,-107.9559 +Ponderosa Pine,34.972,-106.3369 +Tecolotito,35.2307,-105.1631 +Trementina,35.4698,-104.5278 +Nara Visa,35.6068,-103.1043 +Talpa,36.3421,-105.5923 +Llano Del Medio,35.1881,-105.1162 +Winston,33.3461,-107.6485 +Ribera,35.37,-105.4441 +McDonald,33.1407,-103.3174 +Salem,32.7122,-107.2044 +Causey,33.8609,-103.107 +Cleveland,35.9934,-105.3706 +Arenas Valley,32.7765,-108.203 +Santa Fe,35.6619,-105.9819 +Cedar Crest,35.1114,-106.3802 +Sedillo,35.0906,-106.2869 +San Ysidro,35.5606,-106.7735 +Mount Dora,36.5195,-103.4891 +Tyrone,32.7099,-108.3028 +Cruzville,33.8099,-108.6684 +Capitan,33.5393,-105.5983 +Watrous,35.79,-104.9821 +Valencia,34.8053,-106.687 +Cordova,36.0128,-105.8566 +Hope,32.8158,-104.7354 +Loving,32.2867,-104.0972 +Belen,34.6804,-106.7876 +Chupadero,35.8144,-105.9198 +North Acomita Village,35.0659,-107.5676 +Hot Springs Landing,33.2047,-107.21 +Newman,32.0034,-106.323 +Coyote,33.8126,-105.8236 +Cutter,33.0604,-107.0225 +Tatum,33.2553,-103.3112 +Mesquite,32.167,-106.6885 +Springer,36.3662,-104.5933 +Dilia,35.1931,-105.0636 +Quemado,34.3415,-108.5061 +Broncho,34.559,-106.1364 +Gallina,36.2283,-106.8189 +Lucero,36.0164,-105.2283 +Crossroads,33.5123,-103.3397 +Adelino,34.7066,-106.7302 +Black Rock,35.0833,-108.7978 +La Union,31.9507,-106.6621 +Oscura,33.4837,-106.0544 +Cameo,34.2876,-103.2233 +Mentmore,35.5142,-108.8456 +El Porvenir,35.6967,-105.3828 +La Puente,36.7,-106.6009 +Lanark,31.9701,-106.8164 +Wheatland,34.9087,-103.3541 +Des Moines,36.7624,-103.8356 +Datil,34.1424,-107.8425 +Contreras,34.3828,-106.8136 +San Acacia,34.255,-106.9023 +Caballo,32.9806,-107.3075 +South Valley,35.0093,-106.6819 +Milnesand,33.6429,-103.3397 +Nutt,32.5729,-107.4495 +Williamsburg,33.1159,-107.2951 +Lumberton,36.9328,-106.9353 +Abeytas,34.4652,-106.8137 +Hayden,35.9684,-103.2716 +Hobbs,32.7282,-103.16 +Flora Vista,36.8056,-108.0856 +Santa Rosa,34.936,-104.6769 +Elkins,33.6945,-104.055 +Los Luceros,36.1151,-106.0371 +Santa Clara,32.7773,-108.154 +Solano,35.8484,-104.0675 +Bibo,35.1807,-107.4178 +Eunice,32.4425,-103.1917 +Gila,32.9485,-108.5762 +North Valley,35.1736,-106.6231 +Seama,35.0441,-107.5271 +Costilla,36.9786,-105.5353 +Socorro,34.0543,-106.9066 +Berino,32.0689,-106.6219 +Alto,33.3987,-105.6808 +Pinos Altos,32.8665,-108.2221 +Palomas,35.1284,-103.9177 +University Park,32.2767,-106.7463 +Corona,34.2501,-105.597 +Alamo,34.4184,-107.5125 +Grande,36.6706,-103.7744 +Caprock,33.3921,-103.7125 +Ensenada,36.7309,-106.5367 +Los Ojos,36.7361,-106.5669 +Alamogordo,32.8834,-105.9627 +Continental Divide,35.425,-108.3153 +Ojo Caliente,34.9167,-108.9684 +Bloomfield,36.7398,-107.9733 +San Ildefonso Pueblo,35.8955,-106.1225 +Hagerman,33.1145,-104.3283 +Kenna,33.8423,-103.7719 +Cuyamungue,35.8648,-106.0096 +Pueblo Pintado,35.9453,-107.6161 +Jarales,34.6146,-106.7631 +Onava,35.6967,-105.0944 +Maypens,32.3604,-103.1527 +Los Padillas,34.9692,-106.6959 +Melrose,34.429,-103.6296 +Pajarito,34.9864,-106.6967 +Nakaibito,35.7826,-108.8039 +Ruidoso,33.364,-105.6443 +Cuba,36.0146,-106.968 +Albuquerque,35.1053,-106.6464 +Soham,35.4168,-105.4985 +Moriarty,35.0052,-106.046 +Royce,36.487,-103.3133 +Clines Corners,35.0095,-105.6692 +Acomita,35.0553,-107.5717 +Rodey,32.6538,-107.1358 +Monterey Park,34.7511,-106.653 +San Jose,35.3955,-105.4759 +Las Palomas,33.0589,-107.2982 +Rodeo,31.8396,-109.0265 +Mescalero,33.1448,-105.7897 +Las Cruces,32.3265,-106.7893 +Cotton City,32.11,-108.8805 +Nogal,33.5382,-105.7119 +Black River Village,32.2018,-104.253 +Delphos,34.0754,-103.4925 +Roy,35.9451,-104.1963 +Tohatchi,35.841,-108.7506 +Bard,35.1287,-103.2458 +Hachita,31.9153,-108.3251 +San Marcial,33.7001,-106.9873 +Alamillo,34.2519,-106.9158 +Carthage,33.8834,-106.6595 +Strauss,31.8643,-106.6989 +Gage,32.2295,-108.0861 +San Pablo,32.2507,-106.7625 +Torreon,34.7241,-106.3008 +Chilili,34.8974,-106.2332 +Taos,36.3868,-105.5802 +North Hurley,32.7198,-108.1285 +Dayton,32.7315,-104.3852 +Pie Town,34.34,-108.1708 +Weed,32.8025,-105.5248 +Carrizozo,33.6433,-105.8411 +Santa Cruz,35.9939,-106.036 +Nadine,32.6232,-103.1078 +Chili,36.1028,-106.1529 +Meadow Lake,34.8024,-106.5701 +Yeso,34.4392,-104.61 +El Duende,36.0738,-106.1269 +Artesia,32.8479,-104.4276 +Mills,36.0853,-104.2553 +Hurley,32.6982,-108.1321 +Tularosa,33.0753,-106.0174 +Separ,32.2009,-108.4223 +Taiban,34.4401,-104.0091 +Tesuque Pueblo,35.809,-105.9752 +Mesita,35.0133,-107.3296 +Golden,35.2637,-106.223 +Wilna,32.207,-108.2348 +House,34.6489,-103.904 +Bennett,32.0679,-103.211 +La Jara,36.1055,-106.9418 +Silver City,32.7783,-108.2699 +Hebron,36.7386,-104.4658 +Pleasanton,33.2758,-108.8792 +Mule Creek,33.122,-108.9562 +Sofia,36.4517,-103.8291 +Embudo,36.2075,-105.9611 +White Sands,32.3836,-106.4928 +Eldorado at Santa Fe,35.5273,-105.934 +Amistad,35.9189,-103.1538 +Carson,36.3645,-105.7653 +Gamerco,35.5722,-108.7654 +Picuris Pueblo,36.1995,-105.7133 +San Luis,35.7009,-107.0431 +McAlister,34.6923,-103.7764 +Española,36.004,-106.0671 +Hillsboro,32.9218,-107.5776 +Fairacres,32.3047,-106.8366 +Pueblitos,34.6109,-106.7817 +Gallinas,34.1504,-105.6542 +Cochiti Lake,35.6478,-106.3425 +Sunshine,32.1344,-107.7838 +Ramon,34.2329,-104.9 +Pueblito,36.0727,-106.0811 +Glenwood,33.3188,-108.881 +Laguna,35.0504,-107.4071 +Tijeras,35.0884,-106.3761 +Monument,32.6243,-103.2776 +Manuelito,35.422,-108.994 +Roswell,33.373,-104.5294 +Tres Piedras,36.647,-105.9672 +Carnero,34.6242,-105.3869 +La Mesa,32.1244,-106.709 +Canova,36.1649,-105.9857 +Cochiti,35.6105,-106.35 +Church Rock,35.5308,-108.6235 +Friday,31.1082,-95.2622 +Forest Glade,31.6307,-96.5219 +Juilliard,35.3187,-101.8096 +Burnet,30.7478,-98.2392 +Dell City,31.9349,-105.1998 +D'Hanis,29.3305,-99.2753 +Pleasant Hill,31.0033,-94.7936 +Roma-Los Saenz,26.416,-99.0056 +Buenos,33.2993,-101.4876 +Bailey,33.4335,-96.1649 +Leggett,30.818,-94.8705 +Annetta,32.6939,-97.6582 +Taylor Landing,29.8641,-94.1348 +Liverpool,29.3016,-95.2745 +Hondo,29.3532,-99.1621 +Monroe City,29.7849,-94.5852 +Codman,35.64,-100.7535 +Fashing,28.7925,-98.1397 +Encinal,28.041,-99.3546 +Redland,32.3768,-95.4986 +Dougherty,33.9417,-101.0865 +Retreat,32.0507,-96.4787 +Industry,29.9715,-96.4992 +Sublime,29.4789,-96.7975 +Pantego,32.7147,-97.154 +Saturn,29.5988,-97.3436 +Loeb,30.1947,-94.193 +Loma Grande Colonia,28.7221,-99.8327 +Timberwood Park,29.699,-98.4829 +Lautz,36.1873,-102.0318 +Arnett,31.4452,-97.8914 +Hemphill,31.3431,-93.8511 +Frisco,33.1553,-96.8218 +Onalaska,30.8209,-95.1111 +Sandy,30.3608,-98.4695 +Bayside,28.0966,-97.2109 +Waco,31.5597,-97.1883 +Brundage,28.574,-99.67 +Eddy,31.2946,-97.2522 +Lums Chapel,33.8326,-102.3277 +Pampa,35.5479,-100.965 +Lamar,28.1439,-96.9888 +Horseshoe Bay,30.5404,-98.3804 +Avery,33.5522,-94.7803 +Merkel,32.4698,-100.0111 +Sherman,33.6266,-96.6195 +Boise,35.2145,-102.8597 +Rockland,31.0152,-94.3816 +Clarendon,34.9366,-100.8918 +Hamilton,31.6997,-98.1208 +Olivarez,26.2285,-97.9931 +Deport,33.5291,-95.3174 +West Alto Bonito Colonia,26.3144,-98.6632 +Spur,33.4702,-100.8557 +Cedar Hill,32.5809,-96.9592 +Study Butte,29.3351,-103.5421 +Pine Springs,31.8926,-104.8155 +Hankamer,29.8583,-94.6269 +Ben Wheeler,32.446,-95.7039 +Trent,32.4884,-100.1233 +Purley,33.0912,-95.2622 +Stinnett,35.8231,-101.4436 +Plata,29.8763,-104.0177 +Zita,35.1314,-101.8544 +Corrigan,30.9988,-94.8274 +Bigfoot,29.0619,-98.8522 +Round Top,30.064,-96.6959 +Ella,27.4736,-98.1058 +Dexter,33.8187,-96.9636 +Petty,33.6026,-95.81 +Normangee,31.03,-96.1161 +Elbert,33.2748,-99.0021 +Salt Gap,31.3038,-99.5992 +Pasadena,29.6584,-95.1499 +Hockley,30.0269,-95.8444 +Center City,31.4704,-98.4089 +Woodway,31.4988,-97.2314 +Brazos Bend,32.4752,-97.7611 +Star,31.4685,-98.3161 +Danbury,29.2274,-95.3462 +Ranger,32.4693,-98.6751 +Dinero,28.2264,-97.9617 +Vernon,34.148,-99.3 +Cresson,32.5298,-97.6155 +Gentry,35.2962,-101.9924 +Romayor,30.4513,-94.8433 +Carbon,32.2685,-98.8272 +Nopal,30.2882,-103.9266 +Sweet Home,29.3452,-97.0717 +Mount Enterprise,31.9113,-94.6826 +Christine,28.7861,-98.4978 +Masterson,35.6359,-101.9602 +El Refugio,26.3406,-98.7589 +Fort Griffin,32.9321,-99.2301 +Rule,33.182,-99.8932 +Bozar,31.5168,-98.597 +Crowley,32.578,-97.3584 +Pyote,31.5381,-103.1225 +Hills Prairie,30.0516,-97.2919 +La Rosita,26.402,-98.9326 +Gageby,35.6198,-100.3401 +Roaring Springs,33.8992,-100.8561 +Old Glory,33.1298,-100.0559 +Batesville,28.9551,-99.6237 +Benavides,27.5982,-98.4095 +Oak Ridge,32.6489,-96.2598 +Cistern,29.8158,-97.2186 +Bunker Hill Village,29.7647,-95.5317 +Centerville,31.258,-95.9797 +Kosse,31.307,-96.6293 +Briar,32.9884,-97.5528 +Florence Hill,32.6732,-97.0153 +Bruni,27.4282,-98.8322 +Denver City,32.968,-102.8318 +Bay City,28.9816,-95.9603 +Benoit,31.7829,-99.829 +Tankersley,31.3496,-100.6434 +Hilltop Colonia,26.404,-98.9207 +Irving,32.8584,-96.9702 +Paint Rock,31.51,-99.9253 +Falcon,26.6381,-99.0956 +Hoskins,29.1341,-95.2344 +Coppell,32.9639,-96.9907 +Lucas,33.095,-96.5792 +Spring Hill,32.5629,-94.8022 +Arroyo Gardens,26.2052,-97.5021 +Meadows Place,29.6513,-95.5873 +Marlin,31.3085,-96.8934 +Brashear,33.1187,-95.7336 +Carlos,30.5946,-96.078 +Stanfield,33.9693,-97.9998 +Lefors,35.4396,-100.8039 +Maxwell,29.8811,-97.7933 +Cameron Park,25.9705,-97.4775 +Sterling City,31.8392,-100.986 +El Campo,29.1989,-96.2751 +Haskell,33.1597,-99.732 +Silver Valley,31.9565,-99.5462 +Groesbeck,31.5258,-96.5284 +Irene,31.9921,-96.8714 +Pinehurst,30.1087,-93.7705 +Zapata,26.9027,-99.2612 +Point Comfort,28.6715,-96.5589 +Blum,32.1419,-97.3972 +Arlington,32.6998,-97.125 +Montgomery,30.3917,-95.6965 +Newark,33.0049,-97.4855 +West Odessa,31.8388,-102.4996 +Nazareth,34.5416,-102.1021 +Bellville,29.9472,-96.2597 +Exum,36.027,-102.1944 +McNair,29.8041,-95.0216 +Addison,32.9587,-96.8356 +Abbott,31.887,-97.08 +Woodsboro,28.2379,-97.3255 +Montague,33.6653,-97.721 +Wolfe City,33.3687,-96.072 +Jonesboro,31.6146,-97.8767 +Placid,31.3254,-99.1845 +Wilcox,30.446,-96.3794 +Texline,36.3765,-103.0189 +Aloe,28.7667,-97.0761 +Martinsville,31.6427,-94.4141 +Whitharral,33.7376,-102.3271 +Peden,32.9526,-97.5339 +Boydston,35.1828,-101.0085 +Brazos Country,29.7547,-96.0424 +Mexia,31.6809,-96.4833 +Boling,29.2584,-95.9436 +Cuevitas,26.2585,-98.5787 +Balcones Heights,29.4899,-98.5502 +Pharr,26.1686,-98.1904 +Fort Worth,32.7814,-97.3473 +Milam,31.4541,-93.7979 +Morita,32.1846,-101.6337 +Balmorhea,30.984,-103.7438 +White Oak,32.5313,-94.8564 +Mabelle,33.6701,-99.1392 +Rainbow,32.2654,-97.7142 +Grayburg,30.121,-94.4113 +Tamina,30.1785,-95.4416 +Floresville,29.14,-98.163 +Silverton,34.4714,-101.3041 +Sparks,31.6727,-106.2399 +Magnolia Springs,30.7355,-94.0266 +Granbury,32.4483,-97.7685 +Sagerton,33.077,-99.9557 +Beasley,29.4946,-95.9146 +Goldsmith,31.9832,-102.6163 +Fairchilds,29.4398,-95.7777 +Nacogdoches,31.6135,-94.6528 +Aubrey,33.29,-96.9646 +Wickett,31.5673,-103.0059 +Chancellor,30.6927,-103.1741 +Kellerville,35.3717,-100.5029 +Santa Anna,31.7369,-99.3254 +Lakewood Heights,28.1028,-97.861 +Gun Barrel City,32.3277,-96.1286 +Parmerton,34.5798,-102.8024 +Stockman,31.7793,-94.4066 +Carrizo Hill,28.5032,-99.8294 +India,32.5251,-96.6161 +Enochs,33.8731,-102.7599 +Brookston,33.6232,-95.6994 +Bynum,31.9689,-97.003 +Primera,26.2237,-97.7529 +Cotulla,28.4364,-99.2367 +Brenham,30.1585,-96.3962 +Morton Valley,32.4712,-98.8167 +Nixon,29.2698,-97.7658 +Rosenberg,29.544,-95.8199 +Plaska,34.6059,-100.6468 +Vidor,30.1291,-93.9967 +Buna,30.4458,-93.9625 +Perezville,26.2396,-98.4023 +Cooper,33.3717,-95.6912 +Brookeland,31.1527,-93.9935 +Cherokee,30.9824,-98.7075 +Mobile City,32.9228,-96.4111 +New Braunfels,29.6995,-98.1153 +Talco,33.3628,-95.1034 +Pringle,35.9492,-101.4563 +Proctor,31.9874,-98.4298 +Pomeroy,35.4425,-101.506 +Posey,33.4826,-101.7102 +Smiley,29.2713,-97.6376 +Medina,29.7966,-99.2464 +Claude,35.1075,-101.3628 +Alamo Heights,29.4828,-98.4681 +Desert,33.3884,-96.4019 +Alexander,32.059,-98.2062 +Henrietta,33.8147,-98.1925 +Los Alvarez,26.3859,-98.899 +Markham,28.9627,-96.0645 +Austwell,28.3911,-96.8437 +San Felipe,29.7965,-96.1051 +Ratcliff,31.3916,-95.1397 +Edge,30.8899,-96.2947 +Sunset,33.4479,-97.7663 +Forsan,32.1104,-101.3668 +Charleston,33.3865,-95.5338 +Melody Hills,32.8304,-97.3095 +Millers Cove,33.156,-95.1147 +Bremond,31.1657,-96.676 +Prado Verde,31.8898,-106.6135 +Thorndale,30.6141,-97.2067 +Lopezville,26.2479,-98.1581 +Angleton,29.1716,-95.4292 +Falcon Mesa,26.8706,-99.2906 +Spring Valley,29.7897,-95.5036 +Trinidad,32.1562,-96.1054 +Las Quintas Fronterizas,28.689,-100.4676 +Lubbock,33.5643,-101.8871 +New Hope,33.2116,-96.5635 +Lincoln,30.2874,-96.9633 +Mustang Ridge,30.0577,-97.6852 +Ferris,32.5369,-96.6738 +Lakeport,32.405,-94.7102 +Darrouzett,36.4449,-100.3258 +McLendon-Chisholm,32.8512,-96.3923 +Saint Jo,33.695,-97.5231 +Dunlay,29.3486,-98.9906 +Rosser,32.4648,-96.4431 +Millican,30.467,-96.2035 +Albert,30.1938,-98.6017 +Dunlap,34.1406,-100.2965 +Cochran,30.0288,-96.1294 +La Junta,32.9198,-97.5997 +Dothan,32.5568,-99.097 +Botines,27.7719,-99.4571 +Mathis,28.0909,-97.817 +Bakersfield,30.8913,-102.2979 +Bono,32.3238,-97.5045 +Pandora,29.2502,-97.8378 +Rowden,32.204,-99.344 +Ivan,32.8746,-98.7334 +Hilltop,28.6938,-99.1761 +Doole,31.3957,-99.599 +Paige,30.2102,-97.115 +Fruitvale,32.6834,-95.8036 +Moss Hill,30.2474,-94.7416 +Bassett,33.3168,-94.561 +Galveston,29.2487,-94.891 +Trenton,33.4271,-96.3407 +Rosanky,29.9294,-97.2936 +Sanctuary,32.9132,-97.5877 +Bisbee,32.609,-97.1842 +O'Donnell,32.9652,-101.8309 +Lakeside,32.8221,-97.4889 +Rancho Alegre,27.7392,-98.1027 +Addicks,29.7825,-95.6424 +Garfield,30.1961,-97.5514 +Eustace,32.3076,-96.0138 +Levelland,33.5806,-102.3636 +Corpus Christi,27.7173,-97.3822 +Duncanville,32.646,-96.9127 +New London,32.2686,-94.9297 +Foard City,33.8809,-99.7998 +Ridge,31.1455,-96.3219 +Union,32.729,-100.9976 +Carey,34.4712,-100.3257 +Grey Forest,29.6169,-98.6833 +Annona,33.5818,-94.913 +North Zulch,30.9177,-96.1083 +Paradise,33.1504,-97.6887 +Carmine,30.1485,-96.6908 +Powell,32.1128,-96.3236 +Anna,33.3471,-96.5503 +Cross Cut,32.0338,-99.1326 +Galena Park,29.7452,-95.2333 +Brand,32.7923,-100.9607 +Deweyville,30.3034,-93.7592 +Placedo,28.6919,-96.8259 +Fred,30.5766,-94.1763 +Lewisville,33.0453,-96.9823 +New Taiton,29.3094,-96.3416 +Mount Selman,32.0682,-95.2841 +DeSoto,32.5992,-96.8633 +Opdyke West,33.5927,-102.3006 +Havana,26.2507,-98.509 +Port Lavaca,28.6181,-96.6278 +Timbercreek Canyon,35.0538,-101.8186 +Saragosa,31.024,-103.6616 +Wimberley,29.9849,-98.0906 +Wichita Falls,33.9072,-98.5293 +Mabank,32.3681,-96.114 +Ricardo,27.4186,-97.8476 +Johnstone,29.3813,-100.759 +Fifth Street,29.5979,-95.552 +McQueeney,29.6,-98.0439 +Fife,31.3904,-99.3845 +Moore,29.0574,-99.0069 +Armstrong,26.9245,-97.7914 +Washington,30.3252,-96.1566 +San Carlos Number 1 Colonia,27.4905,-99.3725 +Tinaja,30.1888,-103.9777 +Rockport,28.0352,-97.0663 +Grand Saline,32.6774,-95.7113 +Muncy,34.0665,-101.3915 +Sanger,33.3736,-97.1697 +Ackerly,32.5251,-101.7158 +Dittlinger,29.6811,-98.1792 +Watauga,32.8718,-97.2515 +Rusk,31.7978,-95.1491 +West Lake Hills,30.2919,-97.8084 +Anderson,30.4871,-95.99 +Butler,30.3208,-97.2967 +Willow Park,32.7548,-97.6499 +Bells,33.6166,-96.4126 +Aguilares,27.4516,-99.0931 +Vinton,31.9598,-106.5935 +Shallowater,33.6901,-101.9893 +Laird Hill,32.3532,-94.9055 +Tool,32.2803,-96.1725 +Canyon,34.9877,-101.918 +Fullerville,32.9254,-101.0654 +Creedmoor,30.0943,-97.7431 +Roundup,33.7623,-102.0971 +Hays,30.1215,-97.8724 +Jourdanton,28.9138,-98.5411 +Belcherville,33.8026,-97.8323 +Duster,32.1049,-98.6767 +Wyldwood,30.1299,-97.48 +Coahoma,32.2957,-101.3089 +Edgar,29.2052,-97.2342 +Bronte,31.8857,-100.2954 +Bangs,31.7162,-99.1303 +Sunset Colonia,26.4246,-99.0621 +Escobares,26.412,-98.9599 +Stiles,31.4068,-101.5662 +Reid Hope King Colonia,25.9228,-97.414 +Buffalo Gap,32.2835,-99.8346 +San Patricio,27.9772,-97.7765 +Stratford,36.3366,-102.0739 +Trammels,29.5347,-95.5374 +Dawn,34.9103,-102.1999 +Desdemona,32.2704,-98.5503 +Coady,29.7844,-95.0163 +Twichell,36.4375,-100.729 +Howland,33.5332,-95.6388 +Thrall,30.5884,-97.2984 +Lehman,33.6218,-102.7985 +New Boston,33.4607,-94.4177 +Telegraph,30.3274,-99.9062 +Mineola,32.6461,-95.4775 +Lindenau,29.1178,-97.3708 +Bernstein,36.3942,-101.3571 +Axtell,31.6582,-96.9714 +Loma Vista Colonia,26.4169,-98.9814 +Earle,29.2633,-98.4908 +Early,31.7451,-98.9374 +West University Place,29.7157,-95.4321 +Cumings,29.5841,-95.7984 +Kenedy,28.8176,-97.8518 +Noelke,31.1488,-100.9296 +Corbet,32.0065,-96.5369 +Lake Jackson,29.0516,-95.4522 +Staples,29.7664,-97.8279 +Bertram,30.7428,-98.0592 +Vick,31.341,-100.092 +Concrete,29.2383,-97.293 +Fayetteville,29.9063,-96.6758 +McAllen,26.2325,-98.2467 +Harker Heights,31.0572,-97.6445 +Elgin,30.3512,-97.3876 +Conway,35.2078,-101.3813 +Little Elm,33.1844,-96.9292 +Kaufman,32.5769,-96.316 +Village Mills,30.4938,-94.3974 +North San Pedro,27.8027,-97.682 +Rhome,33.0647,-97.4779 +Cleveland,30.3368,-95.0924 +Campbell,33.1483,-95.9533 +Kerrick,36.4956,-102.2427 +Pecan Plantation,32.3628,-97.6554 +Alto,31.6509,-95.0708 +Elm Mott,31.6718,-97.0989 +Athens,32.2053,-95.8348 +Lipscomb,36.2215,-100.2621 +Courtney,30.2672,-96.06 +Burkett,31.996,-99.2256 +Heidelberg,26.1831,-97.885 +Channelview,29.7914,-95.1145 +New Chapel Hill,32.3012,-95.1674 +Georgetown,30.6664,-97.6937 +Rio Grande City,26.3808,-98.8215 +Mendota,35.8014,-100.4982 +Campbellton,28.7475,-98.3025 +Peaster,32.8721,-97.8667 +Puente,35.4456,-101.8857 +Leming,29.0684,-98.4722 +Fairview,33.1399,-96.6117 +Garden City,31.8674,-101.4864 +Appleby,31.717,-94.6078 +Britton,32.5485,-97.0678 +Tatum,32.3159,-94.5189 +San Angelo,31.4426,-100.4501 +Southmayd,33.6233,-96.7286 +Northcrest,31.6366,-97.0997 +Sunrise Beach Village,30.5862,-98.4187 +Bluetown Colonia,26.0734,-97.8199 +Freeport,28.9454,-95.3601 +Rendon,32.5788,-97.2351 +Angeles,31.9015,-103.9624 +Los Ybanez,32.7188,-101.9175 +Bristol,32.455,-96.5672 +Providence,33.2334,-96.9616 +Garrison,31.8252,-94.4932 +Peacock,33.1823,-100.3993 +Premont,27.3586,-98.1244 +Wink,31.7545,-103.1541 +Springlake,34.2316,-102.3057 +Oak Forest,29.4988,-97.5847 +Belton,31.0527,-97.4789 +Palo Pinto,32.7692,-98.3007 +Portland,27.8913,-97.328 +Randolph,33.484,-96.2525 +Magwalt,31.9237,-103.1146 +Sinton,28.0392,-97.5154 +Lumberton,30.2562,-94.2071 +Lott,31.2059,-97.0333 +Lorenzo,33.6704,-101.5361 +Tierra Bonita,26.2727,-97.8276 +Maverick,31.8335,-100.1951 +Matador,34.015,-100.8211 +Throckmorton,33.182,-99.1798 +Happy,34.7416,-101.8572 +Blewett,29.185,-100.0306 +Medicine Mound,34.1879,-99.5945 +Finlay,31.2587,-105.63 +Odell,34.3459,-99.419 +Leonard,33.383,-96.2467 +Algerita,31.2279,-98.8531 +Flint,32.204,-95.3486 +Childress,34.4293,-100.2516 +Karnack,32.6679,-94.1705 +Alice,27.7556,-98.0653 +Highland Haven,30.6073,-98.395 +Alamo,26.1811,-98.1177 +Nimrod,26.2811,-98.581 +Hallsville,32.5027,-94.57 +Cisco,32.3848,-98.9805 +Hainesville,32.7176,-95.3644 +Windemere,30.4591,-97.6492 +Arp,32.2279,-95.0534 +Art,30.7385,-99.1114 +Chilton,31.2848,-97.0607 +Fort Hancock,31.2837,-105.8446 +Fresno,29.5357,-95.4694 +Las Quintas Fronterizas Colonia,28.689,-100.4676 +Zapata Ranch,26.357,-97.8243 +Floydada,33.9835,-101.3367 +Decatur,33.2277,-97.5898 +Talty,32.6945,-96.4007 +Wellborn,30.5352,-96.3016 +San Marcos,29.8734,-97.9382 +Warren,30.6127,-94.4104 +Castle Hills,29.5229,-98.5197 +Caldwell,30.5307,-96.7007 +Colony,29.7691,-97.1789 +Garrett,32.3681,-96.6543 +Pierce,29.2391,-96.2 +Inez,28.8718,-96.7959 +Pine Island,30.0554,-96.0253 +Concepcion,27.3951,-98.3558 +Echo,31.9282,-99.3178 +Colmesneil,30.9097,-94.422 +Mankins,33.7826,-98.797 +Saltillo,33.1846,-95.3263 +Redwood,29.81,-97.9103 +Quarry,30.3077,-96.5105 +New Waverly,30.5374,-95.4822 +Blessing,28.8727,-96.2172 +Ben Arnold,30.9638,-96.988 +Perryton,36.3931,-100.7974 +Gray,32.7876,-94.0735 +Arcadia,29.3833,-95.1202 +Sarita,27.2235,-97.7951 +Morgan Mill,32.3882,-98.1673 +Groom,35.205,-101.1071 +San Perlita,26.501,-97.6398 +Stilson,30.0188,-94.9188 +New Territory,29.5911,-95.6881 +West Point,29.9438,-97.0369 +Juno,30.1519,-101.1154 +Salesville,32.9123,-98.0881 +Oglesby,31.4187,-97.5114 +Seymour,33.5955,-99.258 +Wixon Valley,30.7639,-96.3193 +Gustine,31.8457,-98.4025 +Valentine,30.5886,-104.4953 +Archer City,33.5937,-98.6257 +Clear Lake City,29.5552,-95.1152 +Haltom City,32.8176,-97.2707 +Cameron,30.8607,-96.9763 +Keltys,31.3616,-94.751 +Gomez,33.1818,-102.378 +Best,31.2246,-101.6212 +South Point,25.873,-97.383 +Cut,31.2218,-95.4819 +Houmont Park,29.8424,-95.2063 +Hochheim,29.3125,-97.2917 +Scotland,33.6499,-98.4677 +Fairfield,31.7184,-96.1697 +Pattison,29.819,-95.9761 +Metcalf Gap,32.7098,-98.4414 +Truscott,33.7543,-99.8112 +Brushy Creek,31.9577,-95.615 +San Saba,31.1965,-98.7244 +Swearingen,34.1487,-100.1479 +Oakhurst,30.7434,-95.3072 +Ames,30.0451,-94.7373 +Point Venture,30.3817,-98.001 +Boerne,29.7845,-98.7291 +La Feria,26.1544,-97.8255 +Huxley,31.7643,-93.8848 +Queen City,33.1507,-94.1524 +Copeville,33.0796,-96.4155 +Jean,33.2962,-98.6164 +Las Palmas,26.9516,-99.276 +Golden,32.7296,-95.563 +Eastgate,30.0555,-95.0119 +Santa Elena,26.7601,-98.4864 +Pleasanton,28.9643,-98.4957 +Frankston,32.0561,-95.5043 +Melrose,31.5616,-94.4766 +Pinto,29.2813,-100.5884 +Weatherford,32.7538,-97.7712 +Lolita,28.8326,-96.5387 +Lariat,34.3304,-102.908 +Oakwood,31.5848,-95.8499 +Hudson,31.3285,-94.8014 +Pineland,31.2467,-93.9744 +Martins Mill,32.4163,-95.7902 +Melissa,33.2899,-96.5558 +DISH,33.133,-97.3014 +El Camino Angosto,26.1115,-97.6438 +Hillsboro,32.0091,-97.1151 +Coburn,36.0664,-100.1535 +Circleville,30.6374,-97.4356 +Tradewinds,27.995,-97.2602 +Lovelady,31.1279,-95.4456 +Simms,33.3504,-94.5074 +Orason Acres Colonia,26.0742,-97.4458 +Longworth,32.6504,-100.3457 +Mount Vernon,33.176,-95.2253 +Kaffir,34.6334,-101.8207 +Waxahachie,32.4036,-96.8428 +Port Mansfield,26.5623,-97.4365 +Hunt,30.0708,-99.3378 +Cedar Creek,30.0872,-97.5008 +Plantersville,30.333,-95.8619 +Mount Houston,29.8911,-95.3058 +Falcon Village,26.565,-99.1346 +Earth,34.2338,-102.4091 +Pawnee,28.6483,-98.0083 +Escobas,27.0625,-99.0236 +Danevang,29.0575,-96.2075 +Mission,26.204,-98.3251 +Dumas,35.8613,-101.9642 +Vancourt,31.3429,-100.177 +Texarkana,33.4487,-94.0815 +Apple Springs,31.2235,-94.9663 +Bammel,30.0069,-95.4636 +Keller,32.9337,-97.2255 +Loma Linda East Colonia,26.3281,-98.6894 +Oak Valley,32.0331,-96.5116 +Orient,31.6568,-100.3318 +Loraine,32.4086,-100.7127 +Kadane Corner,33.8579,-98.8387 +Terlingua,29.2991,-103.5795 +Castor,31.3691,-98.5103 +Shelby,30.0216,-96.5983 +Dundee,33.7404,-98.9023 +Munday,33.4471,-99.6239 +Ironton,31.9191,-95.3736 +Davilla,30.7857,-97.275 +Alice Acres,27.7119,-98.108 +Tom Bean,33.5201,-96.4843 +Leo,33.4529,-97.3947 +Realitos,27.4453,-98.5303 +Heckville,33.7548,-101.6652 +Daingerfield,33.0306,-94.725 +Cherry Spring,30.4832,-99.0092 +Iago,29.2665,-95.963 +Avinger,32.898,-94.5533 +Santa Maria,26.0767,-97.8464 +Atlanta,33.1136,-94.1672 +Roma Creek,26.4224,-99.0157 +Easton,32.382,-94.5912 +Rio Bravo,27.3648,-99.482 +Lometa,31.2168,-98.3924 +Uvalde,29.2153,-99.7782 +Higgins,36.121,-100.0274 +Centralia,31.258,-95.0399 +Redbank,33.526,-94.2588 +Valley View,33.4892,-97.1534 +Estelline,34.547,-100.44 +Mangum,32.3201,-98.8595 +Farrsville,30.9835,-93.8074 +Abram,26.2181,-98.418 +Dilley,28.6675,-99.1765 +Parker,33.0565,-96.6252 +Falcon Lake Estates,26.8719,-99.2585 +McNeil,30.453,-97.7206 +Lampasas,31.064,-98.1824 +Hereford,34.8232,-102.4001 +Hartley,35.8914,-102.3933 +Rosita,26.3998,-98.9278 +Faysville,26.4057,-98.1309 +Fowlkes,33.9934,-98.8345 +Fulshear,29.693,-95.8792 +Prairie Hill,31.6552,-96.7889 +Lago,26.0885,-97.6132 +Burlington,31.0152,-96.9967 +Orange,30.1209,-93.7616 +Bryson,33.1635,-98.3891 +Rice,32.2389,-96.4978 +Liberty Hill,30.6635,-97.9077 +Lakewood Village,33.1376,-96.9748 +Hughes Springs,32.9987,-94.6311 +Samnorwood,35.0501,-100.2813 +Crowell,33.9839,-99.7241 +Pine Forest,30.1757,-94.0367 +Splendora,30.2324,-95.1616 +Jericho,35.1731,-100.9082 +Union Valley,32.9324,-96.2471 +Lacy-Lakeview,31.6292,-97.1052 +Red Gate,26.4967,-98.1339 +Heaton,35.5481,-100.8088 +Sunnyvale,32.7974,-96.5577 +English,33.6276,-94.8594 +Hill Country Village,29.583,-98.4891 +Winter Haven,28.6197,-99.8576 +Webb,32.6326,-97.0742 +Spearman,36.1982,-101.1943 +Dean,33.9299,-98.3674 +Middle Water,35.8484,-102.7877 +Friendswood,29.5112,-95.1979 +Haynesville,34.0915,-98.9159 +Fort Davis,30.5784,-103.8921 +Camp Verde,29.8938,-99.1048 +Azle,32.8954,-97.5379 +Elmendorf,29.2577,-98.3211 +Russellville,33.9204,-100.6896 +Villa Pancho,25.8842,-97.4154 +Kress,34.3658,-101.7484 +Mullin,31.5552,-98.6657 +Thornton,31.4111,-96.5738 +North Houston,29.9255,-95.5152 +Ovalo,32.1729,-99.8079 +Edith,31.9035,-100.6107 +La Vernia,29.3542,-98.122 +Haslet,32.9609,-97.3376 +South Bend,33.0046,-98.6684 +Satin,31.3466,-97.0317 +Doyle,27.8875,-97.3444 +Royalty,31.3724,-102.8671 +Tokio,33.1815,-102.2752 +Indian Lake,26.0875,-97.5032 +Ogg,34.8353,-101.8902 +Cantu Addition,27.202,-98.1555 +Ezzell,29.2825,-96.9008 +Tilden,28.4598,-98.5488 +Vanderpool,29.7452,-99.5551 +Chispa,30.7446,-104.6974 +Raisin,28.7422,-97.1197 +Trophy Club,33.0039,-97.1897 +Muenster,33.6586,-97.3874 +Taylor,30.5743,-97.4234 +Ropesville,33.4132,-102.1551 +Westbrook,32.357,-101.0132 +Pueblo Nuevo Colonia,27.4939,-99.3099 +Blackwell,32.0851,-100.3194 +Karnes City,28.8858,-97.9002 +Fredonia,30.9321,-99.1134 +Colonia Iglesia Antigua,26.0749,-97.8342 +Crosbyton,33.6413,-101.2377 +Lassater,32.834,-94.5027 +El Toro,28.948,-96.7053 +O'Brien,33.3802,-99.8438 +Fort Gates,31.3996,-97.7078 +Spade,33.926,-102.1542 +Eskota,32.5248,-100.247 +Bovina,34.5157,-102.8846 +Cornudas,31.7798,-105.4711 +Ovilla,32.5351,-96.8896 +Roma,26.416,-99.0056 +Waskom,32.4766,-94.0646 +Van Horn,31.0407,-104.834 +The Colony,33.0926,-96.8976 +Howardwick,35.0351,-100.9084 +Runge,28.8859,-97.7134 +Lord,36.3617,-100.8888 +Damon,29.2832,-95.7408 +Los Barreras,26.3911,-98.9184 +Richland Springs,31.2716,-98.9486 +Boquillas Crossing,29.1888,-102.9454 +El Sauz,26.5739,-98.8717 +Underwood,33.9859,-101.8435 +Tolar,32.3894,-97.919 +Carrollton,32.9886,-96.9 +Gail,32.767,-101.4465 +Muldoon,29.8158,-97.0711 +Smithville,30.0069,-97.1507 +Chula Vista Colonia,26.0739,-97.4397 +Lamkin,31.8232,-98.2642 +Valera,31.7529,-99.5473 +Sonterra,30.8081,-97.5953 +Natalia,29.1877,-98.8524 +Hilshire Village,29.7908,-95.4885 +Lamesa,32.7333,-101.9542 +Ramirez,27.3456,-98.4097 +Briarcliff,30.4088,-98.0451 +Lawson,32.7024,-96.565 +Stowell,29.7814,-94.3794 +Yoakum,29.2933,-97.1469 +La Grulla,26.272,-98.6483 +View,32.3429,-99.8848 +Jonestown,30.4754,-97.9295 +Bomarton,33.5076,-99.4262 +Slocum,31.6313,-95.4622 +Romney,32.2415,-98.9578 +Bullard,32.1451,-95.3196 +Nursery,28.9236,-97.0986 +Follett,36.434,-100.1408 +Webberville,30.2259,-97.4994 +Morton,33.7248,-102.7593 +McKinney,33.2016,-96.6669 +Schulenburg,29.6818,-96.9072 +McCamey,31.1325,-102.22 +Bowie,33.5566,-97.8439 +Cee Vee,34.2231,-100.4457 +Finney,34.2776,-101.7163 +Pipe Creek,29.7236,-98.9359 +Round Mountain,30.43,-98.3608 +Covington,32.1781,-97.2605 +Eli,34.6937,-100.6287 +Red Springs,33.6129,-99.412 +Laketon,35.5437,-100.6329 +Garwood,29.4497,-96.3969 +Castolon,29.1333,-103.5143 +Indian Springs,30.6879,-94.7449 +Kirby,29.4611,-98.386 +Crystal City,28.6909,-99.8257 +Forney,32.7447,-96.4519 +Anson,32.755,-99.8962 +New Summerfield,31.9807,-95.115 +Whitney,31.952,-97.3192 +Iredell,31.9865,-97.872 +Woodcreek,30.0266,-98.1115 +Central Gardens,29.9892,-94.0216 +Rogers,30.93,-97.2291 +Kyle,29.9938,-97.8859 +McDade,30.2819,-97.2449 +Eureka,32.012,-96.2856 +Ratamosa,26.2006,-97.8445 +Southside Place,29.7089,-95.4367 +Gordon,32.5455,-98.3672 +Normandy,28.9102,-100.5979 +Kemp,32.4348,-96.2233 +Webster,29.5317,-95.1188 +Shavano Park,29.5862,-98.5562 +Pittsburg,32.9997,-94.9668 +Del Mar Heights,26.0566,-97.4235 +Argyle,33.1105,-97.1862 +Terrell Hills,29.4771,-98.4471 +Redford,29.4342,-104.1824 +Bruceville-Eddy,31.3093,-97.2501 +Deer Park,29.6898,-95.1151 +Rutersville,29.9477,-96.7972 +Randado,27.0806,-98.8784 +Pecos,31.4046,-103.5056 +Freer,27.8823,-98.6181 +Snyder,32.7133,-100.9113 +Nolanville,31.0755,-97.6117 +Muleshoe,34.2292,-102.7284 +Petersburg,33.871,-101.5974 +Owentown,32.4357,-95.1958 +Kamey,28.6361,-96.7433 +Devine,29.1457,-98.9049 +Laredo,27.5616,-99.487 +Shepherd,30.491,-95.0021 +Monkstown,33.7909,-95.9283 +Sour Lake,30.1378,-94.4045 +Key,32.7282,-101.7996 +Euless,32.8508,-97.0798 +Commerce,33.2421,-95.8992 +Whiteland,31.1643,-99.5059 +Smithland,32.814,-94.1682 +Zavalla,31.1584,-94.418 +Harkeyville,31.2107,-98.7856 +Southlake,32.9545,-97.1503 +Westfield,30.0199,-95.4022 +Harleton,32.6765,-94.5746 +Farrar,31.4568,-96.2808 +Alanreed,35.2125,-100.7343 +Little River-Academy,30.9876,-97.3531 +Southton,29.2963,-98.4186 +Guerra,26.8827,-98.8948 +Los Indios,26.0493,-97.7351 +Collinsville,33.5592,-96.9074 +Coyote Acres,27.7132,-98.1346 +Copper Canyon,33.0961,-97.0975 +Huntington,31.2803,-94.5772 +Owens,31.8479,-98.9259 +Longview,32.5192,-94.7622 +Sanford,35.7026,-101.5319 +Star Harbor,32.1927,-96.0541 +Blanco,30.0987,-98.4169 +Herty,31.3563,-94.6833 +Von Ormy,29.2802,-98.6557 +Combine,32.591,-96.5202 +Edmonson,34.2791,-101.8968 +San Carlos,26.2957,-98.063 +Minerva,30.7582,-96.988 +Rolling Meadows,32.4154,-94.8099 +Ashtola,35.0064,-101.0435 +Oak Ridge North,30.1569,-95.4422 +Palmer,32.425,-96.6733 +Verhalen,31.1265,-103.5935 +Wharton,29.3138,-96.1044 +Bagwell,33.6621,-95.1608 +Olton,34.1802,-102.137 +China Grove,29.393,-98.3443 +Post,33.1911,-101.3814 +Dirgin,32.2571,-94.5888 +Surfside Beach,28.956,-95.2836 +North Escobares,26.4325,-98.9719 +Chireno,31.4989,-94.3459 +Slidell,33.3598,-97.3917 +Blue Mound,32.8543,-97.3383 +Choate,28.7647,-97.7431 +Miles,31.6006,-100.1853 +Loyal Valley,30.5757,-99.0078 +Beverly,31.5252,-97.1419 +Flats,32.8385,-95.8827 +Millersview,31.4088,-99.7556 +Serenada,30.6963,-97.6968 +Concord,32.0702,-95.0463 +Kohrville,30.0122,-95.5855 +Port Isabel,26.0538,-97.2505 +Rucker,32.1651,-98.6028 +Rowena,31.6471,-100.0462 +Bandera,29.7253,-99.074 +Lake Dunlap,29.668,-98.0776 +Hurst,32.8353,-97.1808 +Forreston,32.2563,-96.8653 +Kingsville,27.5095,-97.861 +Waring,29.9508,-98.8031 +Clint,31.5901,-106.2289 +Palm Valley,26.2015,-97.7546 +Post Oak Bend City,32.6343,-96.3186 +Gunter,33.4647,-96.7646 +Patroon,31.623,-93.981 +Eagle Flat,31.1099,-105.1327 +Cline,29.2433,-100.0828 +Hallsburg,31.5684,-96.9464 +Crawford,31.5377,-97.4429 +Naples,33.203,-94.6776 +Fannin,28.6955,-97.2358 +Broaddus,31.3051,-94.2699 +Royse City,32.9764,-96.3192 +Ingram,30.0773,-99.2381 +Four Way,35.6903,-101.9652 +Murphy,33.0186,-96.6105 +Tennessee Colony,31.8354,-95.8389 +Comstock,29.6844,-101.1734 +Hall,31.2852,-99.0517 +Oklaunion,34.1295,-99.1429 +Hardin,30.1493,-94.7377 +Lipan,32.5187,-98.0471 +Ingleside,27.8701,-97.2076 +Geronimo,29.6728,-97.9686 +Allison,35.6059,-100.1007 +Hatchel,31.8501,-99.9493 +Doucette,30.8183,-94.4288 +Juliff,29.4502,-95.4755 +Elm Creek,28.7782,-100.4911 +Goldsboro,32.0601,-99.6812 +Celeste,33.2897,-96.1946 +Pflugerville,30.4528,-97.6022 +Merit,33.2168,-96.2875 +Weston,33.3306,-96.6676 +Glenwood,32.641,-94.8441 +West Tawakoni,32.8976,-96.0218 +Farmers Branch,32.9272,-96.8804 +Halfway,34.1881,-101.9524 +Barry,32.0999,-96.6377 +Adrian,35.2738,-102.6675 +Timpson,31.9065,-94.3971 +Spring Branch,29.8899,-98.4253 +Beach City,29.7269,-94.8549 +Kent,31.0693,-104.2171 +Morse Junction,36.0323,-101.4741 +Mountain City,30.0392,-97.8915 +La Salle,28.7917,-96.6691 +Aspermont,33.1405,-100.2253 +Edroy,27.9609,-97.6754 +Bellmead,31.6025,-97.0896 +Hull,30.1464,-94.6422 +Del Rio,29.3706,-100.8798 +Simonton,29.6824,-95.991 +Aquilla,31.8548,-97.22 +El Lago,29.5733,-95.044 +Florey,32.4529,-102.5899 +Jollyville,30.4427,-97.775 +Manvel,29.4793,-95.3658 +Lost Creek,30.2955,-97.8445 +Alleyton,29.7066,-96.4864 +Paducah,34.0144,-100.3038 +Pecan Gap,33.4382,-95.8519 +Ector,33.5793,-96.2732 +Lexington,30.4148,-97.0093 +Ellinger,29.8394,-96.7053 +Sam Rayburn,31.0789,-94.0266 +Coffee City,32.1383,-95.4871 +Northfield,34.2873,-100.5987 +Santa Rosa Colonia,26.3485,-98.7699 +Midway,31.0252,-95.7539 +Villa,31.6152,-98.7359 +Mauriceville,30.2187,-93.8758 +Union Grove,32.5798,-94.9095 +Boys Ranch,35.5331,-102.2536 +La Paloma Addition Colonia,28.017,-97.5009 +Allen,33.1088,-96.6735 +Cross Timber,32.4833,-97.326 +San Juan,26.1904,-98.152 +Piney Point Village,29.7588,-95.5156 +Long Mott,28.4825,-96.7605 +Highland Village,33.0897,-97.0615 +McFaddin,28.5539,-97.0139 +Patricia,32.5545,-102.0204 +Del Sol Colonia,28.0132,-97.5202 +Seminole,32.7215,-102.6504 +Vidaurri,28.4367,-97.1369 +Clear Springs,29.6761,-98.0597 +Tuscola,32.2106,-99.7994 +Hempstead,30.0995,-96.0782 +Blooming Grove,32.0925,-96.7174 +Jonah,30.638,-97.5408 +Seven Points,32.3291,-96.2142 +Tarzan,32.3054,-101.9751 +Tomball,30.0965,-95.6185 +Whitesboro,33.6612,-96.9022 +Ballinger,31.7394,-99.9559 +McLean,35.2323,-100.6001 +Boden,35.3992,-102.0638 +Gluck,35.3659,-101.8127 +Bonham,33.588,-96.1901 +Menard,30.9185,-99.7837 +Lodi,32.8762,-94.2796 +Democrat,31.6874,-98.6587 +Huntoon,36.4559,-100.631 +Overton,32.276,-94.9726 +Sugar Land,29.5965,-95.6293 +Big Sandy,32.586,-95.1127 +Comal,29.6455,-98.2236 +Candelaria,30.1385,-104.6855 +Bonney,29.3013,-95.4508 +Ramireno,27.0144,-99.3822 +Abernathy,33.8389,-101.823 +Moulton,29.5722,-97.1466 +Saint Francis,35.2617,-101.623 +Norias,26.7901,-97.7761 +Leon Valley,29.4954,-98.6141 +Hubbard,31.847,-96.8003 +Arcola,29.5031,-95.469 +Bluff Dale,32.351,-98.0214 +Riverside,30.8471,-95.3985 +Sansom Park,32.8027,-97.4021 +Klondike,33.3298,-95.758 +Arno,31.6632,-103.636 +Winona,32.4928,-95.173 +San Elizario,31.5793,-106.2632 +Leary,33.469,-94.2189 +Lawn,32.1366,-99.7499 +Banquete,27.8007,-97.7972 +Port Arthur,29.8554,-93.9264 +Newsome,32.9773,-95.1388 +Dominion,29.6569,-98.6164 +Byers,34.0696,-98.1913 +Yantis,32.9305,-95.5761 +Wild Peach Village,29.0811,-95.6373 +McLeod,32.9446,-94.0802 +Goodrich,30.6093,-94.9467 +Marshall,32.537,-94.3515 +Reagan,31.2182,-96.7825 +Arroyo Colorado Estates Colonia,26.1864,-97.6114 +Diboll,31.1881,-94.783 +Dripping Springs,30.192,-98.081 +Meadowlakes,30.5639,-98.2954 +Kinwood,29.9119,-95.3024 +Ravenna,33.6705,-96.2409 +San Leanna,30.1442,-97.8196 +Millett,28.5819,-99.1992 +Texon,31.2249,-101.6896 +Coughran,28.9444,-98.4136 +Peters,29.86,-96.1866 +Roane,32.174,-96.3803 +Chandler,32.3065,-95.4781 +Rios,27.4517,-98.265 +Oak Hill,30.2355,-97.86 +Toco,33.6539,-95.6492 +Mingus,32.5364,-98.4249 +Amarillo,35.1988,-101.8308 +Witco,31.1563,-101.3448 +Plano,33.0502,-96.7487 +Tuleta,28.5767,-97.798 +Silver,32.071,-100.6826 +Mesquite,32.7622,-96.5889 +Falls City,28.9822,-98.0217 +Leroy,31.7322,-97.0214 +Lorena,31.3816,-97.2128 +Holliday,33.8141,-98.6899 +Maypearl,32.314,-97.0051 +Nesbitt,32.5887,-94.4469 +Millsap,32.7493,-98.0117 +Port Aransas,27.8102,-97.0875 +Quanah,34.2954,-99.7429 +Canyon Valley,33.4012,-101.3351 +Burris,33.5248,-101.7796 +Valley Mills,31.6583,-97.4716 +Reno,33.6659,-95.4768 +Carlton,31.9182,-98.172 +Siesta Acres,28.7564,-100.491 +Richland,31.9176,-96.4265 +Bloomburg,33.1378,-94.0591 +Lesley,34.677,-100.816 +Winnsboro,32.9557,-95.2909 +Graford,32.9374,-98.2475 +Santa Rosa,26.2561,-97.8253 +Thompsonville,27.26,-98.7847 +Megargel,33.4535,-98.9298 +Royston,32.8118,-100.2984 +Retta,32.5524,-97.2356 +Santa Clara,29.591,-98.1615 +Prosper,33.2394,-96.8088 +Ransom Canyon,33.5303,-101.6838 +Log Cabin,32.2231,-96.0222 +Hideaway,32.489,-95.4578 +Margaret,34.0495,-99.6512 +Marysville,33.7707,-97.3342 +Newcastle,33.1951,-98.7436 +Gause,30.7852,-96.7214 +Crane,31.3919,-102.3503 +Sulphur Bluff,33.3326,-95.3983 +Hitchcock,29.2945,-95.025 +Saratoga,30.2841,-94.5294 +Wellman,33.047,-102.4274 +El Cenizo Colonia,26.4105,-98.9161 +Plainview,34.1909,-101.7234 +Double Bayou,29.6927,-94.6291 +Sandia,28.0198,-97.8704 +Elmo,32.7315,-96.159 +Belmont,29.5233,-97.6839 +Augustus,33.1307,-101.2996 +Troy,31.2,-97.3019 +London,30.6768,-99.5765 +Corral City,33.0985,-97.2304 +Sharp,30.7513,-97.1561 +Laguna Park,31.8643,-97.3862 +El Cenizo,27.3318,-99.5028 +Perry,31.418,-96.9153 +Arcade,31.8029,-102.446 +West,31.8032,-97.0942 +Colorado City,32.3995,-100.8582 +Jolly,33.8827,-98.3475 +Mart,31.5421,-96.8299 +Rancho Banquete,27.8094,-97.8455 +Alfred,27.8742,-97.9799 +Baytown,29.7607,-94.9628 +Hearne,30.877,-96.5956 +Lake Tanglewood,35.057,-101.7817 +Rollingwood,30.2736,-97.7867 +Chillicothe,34.256,-99.5144 +Douglass,31.668,-94.8808 +Ruidosa,29.9829,-104.6794 +Pledger,29.1825,-95.9086 +Zephyr,31.676,-98.7948 +Woodrow,33.4468,-101.8441 +Lissie,29.5561,-96.2252 +Waka,36.2817,-101.0477 +North Richland Hills,32.8605,-97.218 +Eagle Pass,28.7118,-100.4832 +Black,34.6826,-102.6094 +Tulsita,28.6422,-97.818 +Chisholm,32.8382,-96.3716 +Kitalou,33.6548,-101.7271 +Sonora,30.5708,-100.644 +Orchard,29.6002,-95.9694 +Giddings,30.1833,-96.9289 +Seabrook,29.5751,-95.0236 +Indian Hills,26.2124,-97.9165 +Jamaica Beach,29.1905,-94.9801 +Clear Lake Shores,29.5457,-95.0328 +Olin,31.8774,-98.107 +Gardendale,32.0105,-102.3587 +New Caney,30.1552,-95.2113 +Leigh,32.6046,-94.1316 +Radium,32.8293,-99.9954 +Thelma,29.2141,-98.5017 +Celina,33.3201,-96.7854 +Refugio,28.3073,-97.275 +Amherst,34.012,-102.4148 +Holiday Lakes,29.2083,-95.5146 +Cedar Lake,28.9011,-95.6369 +Fort Chadbourne,32.0007,-100.2895 +Satsuma,29.9033,-95.6033 +Quail Creek,28.7773,-97.0848 +Lajitas,29.2616,-103.7766 +Ady,35.4856,-102.1324 +Cross Plains,32.1271,-99.1658 +North Cowden,32.0046,-102.5129 +Garciasville,26.3198,-98.6995 +Bridge City,30.0298,-93.8406 +Lockett,34.0812,-99.3779 +Hargill,26.4423,-98.0146 +Wheeler,35.4411,-100.2752 +Cibolo,29.5649,-98.2131 +Gladewater,32.5435,-94.9452 +Santa Cruz,26.3537,-98.7676 +Sunnyside,34.3479,-102.3035 +Bartlett,30.7951,-97.4325 +Combes,26.2439,-97.7253 +Porter Heights,30.1501,-95.3217 +Hawk Cove,32.8839,-96.0833 +Comfort,29.9714,-98.904 +Las Lomas,26.3638,-98.7747 +Lindale,32.4934,-95.4069 +Big Wells,28.5698,-99.5702 +Capps Switch,36.0378,-101.6427 +Balch Springs,32.7194,-96.615 +Tunis,30.5449,-96.5272 +McGregor,31.4187,-97.4283 +Lake Creek,33.4473,-95.588 +Morgans Point Resort,31.1518,-97.4581 +Bushland,35.192,-102.0646 +Pecan Acres,32.9703,-97.4727 +Powderly,33.8091,-95.5049 +Strawn,32.5509,-98.4979 +North Pearsall,28.9227,-99.0944 +Abell,35.3934,-101.4588 +Devers,30.0287,-94.586 +Berea,32.8062,-94.4021 +Vigo Park,34.6526,-101.496 +Cushing,31.8126,-94.8411 +Leesville,29.4069,-97.745 +Lancaster,32.5922,-96.7737 +Streetman,31.8788,-96.3307 +Louise,29.1119,-96.4123 +Clifton,31.7822,-97.5824 +Lake Brownwood,31.8177,-99.1045 +Shoreacres,29.6204,-95.0188 +Estes,27.9639,-97.1003 +Gatesville,31.4419,-97.7351 +Pearsall,28.8884,-99.0987 +Oyster Creek,28.9979,-95.3281 +Garland,32.91,-96.6305 +Gilmer,32.7317,-94.946 +Taylor Lake Village,29.5764,-95.0562 +Watson,30.9343,-98.0145 +Saint Paul,33.0442,-96.5499 +Panhandle,35.346,-101.3804 +Ross,31.7281,-97.1123 +Quitman,32.7951,-95.4443 +Pattonville,33.5793,-95.3922 +Maysfield,30.8971,-96.8511 +Robstown,27.7886,-97.6685 +Omaha,33.182,-94.7402 +Iowa Colony,29.4407,-95.4169 +Roscoe,32.4419,-100.5322 +Sunset Acres Colonia,27.7942,-99.4566 +Yorktown,28.9829,-97.505 +McCaulley,32.7821,-100.204 +Stephenville,32.2148,-98.2205 +Weldon,31.0216,-95.5713 +Christoval,31.1976,-100.4933 +New Berlin,29.4722,-98.1067 +Bleakwood,30.6924,-93.8224 +Enloe,33.4329,-95.6575 +Yancey,29.1394,-99.145 +Wake Village,33.424,-94.1188 +Twitty,35.3139,-100.2362 +Langtry,29.8085,-101.5587 +Cleo,30.6038,-99.8751 +Hoban,31.1943,-103.576 +Melvin,31.1995,-99.5809 +Farnsworth,36.3211,-100.9663 +La Porte,29.669,-95.0483 +Van,32.5242,-95.6373 +Leander,30.5721,-97.8596 +Sabinal,29.3214,-99.4696 +The Woodlands,30.1738,-95.5134 +Siesta Shores,26.8548,-99.2605 +Vincent,32.4818,-101.2257 +Murillo Colonia,26.2648,-98.1252 +Latexo,31.3891,-95.4724 +Nederland,29.9707,-94.0015 +Rowlett,32.9156,-96.5488 +Buford,32.4615,-100.8568 +Harper,30.2903,-99.2459 +Riesel,31.4763,-96.9304 +Calliham,28.4805,-98.3503 +Edgecliff Village,32.6561,-97.3406 +Kennedale,32.6434,-97.2173 +Del Valle,30.2108,-97.6547 +Angus,31.9976,-96.427 +Carta Valley,29.7935,-100.6748 +DeCordova,32.428,-97.6911 +Mineral Wells,32.8169,-98.0776 +Tanglewood Forest,30.1747,-97.8392 +Elmdale,32.4307,-99.6398 +Sebastian,26.3454,-97.7964 +Todd Mission,30.2612,-95.8298 +Joshua,32.4584,-97.385 +Laredo Ranchettes,27.4911,-99.3599 +Laneville,31.9743,-94.8138 +La Victoria,26.3478,-98.6295 +Beaumont,30.0849,-94.1451 +Hermleigh,32.6365,-100.7523 +Magnolia Beach,28.5603,-96.5428 +Catarina,28.3499,-99.616 +Vair,31.281,-94.9135 +New Ulm,29.8922,-96.4902 +Impact,32.5002,-99.7466 +Santa Monica,26.3654,-97.59 +Roby,32.746,-100.3794 +Bivins,33.0196,-94.1991 +Cundiff,33.3168,-97.9984 +Ranchos Penitas West,27.6745,-99.6035 +Buda,30.0846,-97.844 +Isla,31.4873,-106.2064 +Circle,34.1881,-102.2363 +Viboras,26.7173,-98.8272 +Uvalde Estates,29.1695,-99.8329 +Nordheim,28.9239,-97.6141 +Godley,32.4512,-97.5322 +Crockett,31.3177,-95.4564 +Caps,32.3732,-99.847 +Buckingham,32.9365,-96.725 +Dalworthington Gardens,32.6936,-97.1565 +Redwater,33.3586,-94.2551 +Chapman Ranch,27.5864,-97.4533 +Percilla,31.5471,-95.3991 +Jones Creek,28.9752,-95.4715 +Town West,29.6638,-95.6311 +Sylvester,32.7209,-100.2543 +Skidmore,28.2626,-97.6855 +Eagle Lake,29.588,-96.3282 +Old Ocean,29.08,-95.7497 +Seven Oaks,30.8517,-94.858 +Neuville,31.6782,-94.1424 +Llano Grande,26.1308,-97.9687 +Lyons,30.3863,-96.5633 +Belfalls,31.1732,-97.2036 +Neylandville,33.2003,-96.0059 +Browndell,31.1254,-93.9802 +Keenan,30.321,-95.6455 +Cone,33.7973,-101.3877 +Morris Ranch,30.2171,-99.0123 +Flomot,34.227,-100.989 +Bon Wier,30.7399,-93.6432 +Northlake,33.0801,-97.2545 +Rose Hill Acres,30.1933,-94.193 +Machovec,35.9439,-101.9868 +Mount Pleasant,33.1613,-94.9717 +Sand Springs,32.2795,-101.3496 +Krum,33.2652,-97.2257 +Canton,32.554,-95.8639 +Richmond,29.5817,-95.7605 +Guadalupe,28.7519,-96.9228 +Camp San Saba,30.9954,-99.2551 +Columbus,29.7055,-96.5563 +El Paso,31.8479,-106.4309 +Benchley,30.7485,-96.4586 +Guthrie,33.6215,-100.3291 +Sudan,34.0663,-102.5241 +Callisburg,33.6987,-97.0159 +Avoca,32.8657,-99.7159 +Humble,29.9922,-95.2655 +Oilton,27.4693,-98.9672 +Edcouch,26.2937,-97.9631 +Green Valley Farms,26.1219,-97.561 +Neches,31.8668,-95.4958 +Prairie View,30.085,-95.9897 +Pottsville,31.6732,-98.3256 +Butterfield,31.8426,-106.0822 +Skellytown,35.5708,-101.1729 +Chunky,35.3995,-101.8407 +Sundown,33.4575,-102.4908 +Palmhurst,26.2583,-98.2953 +Hedwig Village,29.7799,-95.5193 +Mustang,32.0135,-96.4303 +Honey Grove,33.5866,-95.909 +Gallatin,31.8968,-95.152 +Denton,33.2176,-97.1421 +Wastella,32.5104,-100.6496 +Coolidge,31.7514,-96.6524 +Bonita,33.759,-97.5945 +De Kalb,33.5076,-94.6165 +Matagorda,28.697,-95.9668 +Alamo Alto,31.4051,-106.0239 +Riomedina,29.4397,-98.8842 +Odem,27.9464,-97.5865 +Orange Grove,27.9562,-97.9386 +Coleman,31.8317,-99.4223 +Harlingen,26.1917,-97.6977 +Lake Kiowa,33.5703,-97.0129 +Port O'Connor,28.4463,-96.4205 +Tye,32.4522,-99.8665 +La Presa,27.3995,-99.4374 +Stacy,31.4771,-99.5978 +Roganville,30.8002,-93.9035 +Barrett,29.8671,-95.0537 +Plum Grove,30.2007,-95.0958 +Bracken,29.6099,-98.3211 +Bacliff,29.5077,-94.988 +Caddo Mills,33.0506,-96.2279 +Sunray,36.0182,-101.8245 +Gilchrist,29.5125,-94.4891 +Burkburnett,34.0748,-98.5672 +Tehuacana,31.741,-96.5436 +Salado,30.9486,-97.527 +Aiken,34.1423,-101.5257 +High Island,29.5669,-94.3935 +Southland,33.362,-101.5502 +Ben Bolt,27.6475,-98.0814 +Huntsville,30.705,-95.5545 +Bulverde,29.7736,-98.4359 +Marathon,30.2157,-103.2433 +Chalk Mountain,32.1543,-97.9109 +Silsbee,30.3456,-94.1764 +Chappell Hill,30.1427,-96.2569 +Goodlett,34.3351,-99.8801 +Grapevine,32.9343,-97.0744 +McKinney Acres,32.2963,-102.5297 +La Paloma,26.0518,-97.6552 +Dallardsville,30.6285,-94.6319 +Trinity,30.9445,-95.3736 +Benjamin,33.5837,-99.7929 +Tioga,33.4718,-96.9187 +Wildwood,30.5256,-94.4456 +Nassau Bay,29.5448,-95.0865 +Las Lomitas,27.3378,-98.6629 +Tynan,28.1708,-97.7492 +Marietta,33.1736,-94.5425 +Argo,33.2551,-94.8949 +Old River-Winfree,29.8745,-94.8268 +Girvin,31.0629,-102.3885 +Moody,31.3086,-97.3596 +Cookville,33.1857,-94.8544 +Forest Hill,32.6619,-97.2662 +Edinburg,26.319,-98.1607 +Buchanan Lake Village,30.8565,-98.4378 +Roxton,33.5453,-95.7247 +Era,33.4954,-97.2881 +Carrizo Springs,28.5266,-99.8589 +Lantana,33.092,-97.1216 +Seaton,31.0577,-97.2161 +Hutchins,32.6421,-96.7093 +Stoneham,30.3419,-95.9125 +Petronila,27.6713,-97.6322 +Swenson,33.207,-100.3121 +Newton,30.8502,-93.7537 +Telephone,33.7812,-96.018 +New Willard,30.7969,-94.893 +Morgan Farm Colonia,28.0055,-97.5535 +Quail,34.9151,-100.3919 +Quinlan,32.909,-96.1312 +North Cleveland,30.3577,-95.1003 +Sublett,32.6449,-97.1333 +Amaya Colonia,28.7121,-99.8353 +Jefferson,32.7634,-94.3511 +Morales,29.1275,-96.7625 +Goodlow Park,32.1091,-96.2152 +Quemado,28.9473,-100.6238 +Flat,31.3088,-97.63 +Funston,32.7515,-99.8001 +Bettie,32.8085,-94.9613 +Dorchester,33.5331,-96.696 +McNary,31.2482,-105.7964 +Lakeview,34.6729,-100.6973 +Dobbin,30.3655,-95.7761 +Buffalo Springs,33.5327,-101.7078 +Beaumont Place,29.8372,-95.1997 +Olmito,26.0232,-97.5379 +Cool,32.8001,-98.0113 +Highland Park,32.8311,-96.8012 +Jewett,31.3627,-96.1455 +Littig,30.3197,-97.4494 +Littlefield,33.9191,-102.3349 +Pilot Point,33.3955,-96.9499 +Doolittle,26.3598,-98.1168 +Bautista,35.72,-102.0249 +Maryneal,32.2354,-100.4504 +Cross Mountain,29.6535,-98.6564 +Huckabay,32.3449,-98.2984 +Evant,31.4762,-98.1501 +Belding,30.7913,-103.0252 +Josephine,33.0617,-96.3187 +Boston,33.4415,-94.4196 +Bartonville,33.0796,-97.1506 +Inadale,32.5409,-100.6832 +Hico,31.9858,-98.029 +Pullman,35.1962,-101.7066 +Hidalgo,26.108,-98.2481 +Cross Roads,33.2283,-96.9989 +Ponder,33.1776,-97.2909 +Kemah,29.5307,-95.0194 +South Alamo,26.1517,-98.1079 +Mendoza,30.0049,-97.6861 +Windthorst,33.576,-98.4348 +Helotes,29.5693,-98.6956 +Speaks,29.2555,-96.7003 +Quitaque,34.3674,-101.0555 +Ben Hur,31.5104,-96.7278 +Cuero,29.1024,-97.2871 +Elkhart,31.6276,-95.5789 +Selma,29.5865,-98.3133 +San Ygnacio,27.048,-99.4321 +Emhouse,32.1607,-96.5772 +Matthews,29.4994,-96.3227 +Narcisso,34.0004,-100.4735 +Justin,33.0862,-97.301 +Milano,30.7083,-96.8594 +Hallettsville,29.4429,-96.9436 +Seven Sisters,28.0106,-98.5392 +Breslau,29.523,-96.9966 +Algoa,29.4025,-95.1694 +Marquez,31.2361,-96.2574 +Muniz,26.2578,-98.0897 +Woodville,30.774,-94.4236 +Ore City,32.8008,-94.7182 +Bernecker,32.5609,-100.5623 +Cloverleaf,29.7882,-95.1724 +Lyford,26.4146,-97.7894 +Wildorado,35.2095,-102.2005 +Eidson Road,28.6677,-100.4788 +Garceno,26.4124,-98.9405 +Spofford,29.1733,-100.4112 +Streeter,30.7649,-99.3764 +Payne Springs,32.2872,-96.0887 +Golinda,31.3711,-97.0763 +Rockwall,32.9169,-96.4377 +Windom,33.5647,-95.9985 +Redfield,31.6811,-94.6629 +South Fork Estates,27.2697,-98.7239 +Four Corners,29.6705,-95.6597 +Midlothian,32.4719,-96.9877 +Becton,33.7837,-101.6477 +Odessa,31.8831,-102.3407 +Gruene,29.7383,-98.1039 +Cayuga,31.9571,-95.9747 +Price,32.134,-94.943 +Emerson,30.1488,-102.5363 +Montalba,31.8766,-95.7327 +Greatwood,29.5516,-95.6708 +Falfurrias,27.2243,-98.1452 +Macdona,29.3205,-98.6973 +San Isidro,26.7136,-98.4479 +North Roby,32.8068,-100.3871 +Gorman,32.2136,-98.6721 +Van Vleck,29.0276,-95.8803 +Heath,32.8444,-96.4679 +Magnet,29.1508,-95.9869 +Vega,35.2456,-102.4262 +Scenic Oaks,29.7038,-98.6713 +Hunters Creek Village,29.7715,-95.4987 +Brachfield,32.046,-94.6485 +Eliasville,32.9598,-98.7653 +La Joya,26.2518,-98.4699 +Longfellow,30.1619,-102.6385 +Sweetwater,32.4693,-100.4092 +Cost,29.4375,-97.5289 +Gober,33.469,-96.0886 +Sheffield,30.6904,-101.8226 +Robinson,31.4501,-97.1202 +Cockrell Hill,32.7382,-96.8886 +Marble Falls,30.5706,-98.273 +Magasco,31.2807,-93.9752 +Hammond,31.0952,-96.7139 +Goldthwaite,31.4513,-98.5736 +Fowlerton,28.4608,-98.8114 +Beckville,32.2436,-94.4561 +Bixby,26.14,-97.8562 +Clarksville,33.611,-95.0562 +Toyah,31.3126,-103.7946 +Poteet,29.0372,-98.5728 +Alvarado,32.4068,-97.215 +Jersey Village,29.8903,-95.5721 +Cottonwood Shores,30.5521,-98.3248 +Palestine,31.7544,-95.6471 +Blue Berry Hill,28.3855,-97.792 +Kirkland,34.3792,-100.0615 +Henderson,32.1576,-94.796 +Bronson,31.3441,-94.0135 +Bolivar Peninsula,29.486,-94.5665 +Dunn,32.5671,-100.8854 +Johnfarris,34.2201,-101.2113 +Valley Spring,30.8593,-98.8173 +Purdon,31.949,-96.6167 +Knippa,29.3076,-99.633 +Toyahvale,30.9443,-103.7893 +Delmita,26.6852,-98.423 +Granger,30.718,-97.4411 +Rivera Colonia,27.2992,-97.7997 +Woodloch,30.2173,-95.4132 +Glenn Heights,32.5506,-96.8548 +Lasara,26.4634,-97.9088 +Bedford,32.8464,-97.135 +Justiceburg,33.0429,-101.2029 +Artesia Wells,28.28,-99.2845 +Johntown,33.4229,-95.1697 +Woodland,33.8071,-95.2738 +Dublin,32.0875,-98.3391 +Chamberlin,36.1486,-102.3844 +Poynor,32.0793,-95.5924 +Navarro,32.0008,-96.3826 +Krugerville,33.2792,-96.988 +Sunny Side,29.8886,-96.0691 +Douro,31.7618,-102.5257 +Oak Grove,32.5327,-96.3186 +Keene,32.3955,-97.3226 +El Indio,28.5092,-100.3066 +Fort Clark Springs,29.2937,-100.4245 +Westlake,32.9811,-97.2038 +Marion,29.5727,-98.1429 +Itasca,32.1586,-97.1478 +McCoy,28.8605,-98.3478 +Pritchett,32.6618,-95.0186 +Rochester,33.3142,-99.8565 +Morse,36.066,-101.4769 +Tanglewood,30.4977,-96.9864 +Westover Hills,32.7436,-97.4123 +Vineyard,33.1679,-97.9664 +Cranell,28.1681,-97.3928 +Olmos Park,29.4749,-98.4866 +Winnie,29.8167,-94.3807 +Shiro,30.6133,-95.8883 +Mertens,32.0589,-96.8938 +Sanderson,30.1508,-102.408 +Glen Flora,29.3475,-96.1933 +Blair,32.4215,-100.0601 +Morgans Point,29.6765,-95.0027 +East Mountain,32.6006,-94.8527 +Tundra,32.464,-95.8805 +De Berry,32.304,-94.1666 +Shepton,33.0273,-96.7947 +Progreso Lakes,26.0712,-97.9588 +Richards,30.5377,-95.8394 +Rocky Mound,33.0285,-95.0292 +Rock Island,29.5311,-96.5752 +Cargray,35.5167,-101.1754 +Bridgeport,33.2095,-97.7717 +Round Rock,30.5252,-97.6659 +Midfield,28.9378,-96.208 +Palmview,26.2303,-98.3792 +Lutie,35.0231,-100.2226 +San Pedro,27.7886,-97.6783 +Bellevue,33.6334,-98.0164 +Leona,31.1537,-95.9759 +Austonio,31.1857,-95.6386 +Fulton,28.0706,-97.0428 +Meadow,33.3377,-102.2058 +Weinert,33.3234,-99.6737 +Hornsby Bend,30.245,-97.5833 +Briscoe,35.5837,-100.2898 +Needmore,34.0331,-102.7374 +Cuyler,35.3892,-101.2729 +Dawson,31.8941,-96.7151 +Hart,34.3857,-102.115 +Graham,33.1017,-98.5778 +Ingleside On-the-Bay,27.8304,-97.221 +Madisonville,30.9538,-95.909 +Flatonia,29.6886,-97.106 +Arvana,32.8098,-101.9149 +Pelican Bay,32.9228,-97.519 +La Villa,26.2963,-97.9269 +Willis,30.4314,-95.4832 +Bellaire,29.704,-95.4621 +Dallas,32.7937,-96.7662 +Lakeway,30.3557,-97.9805 +Clyde,32.4056,-99.5039 +Maydelle,31.8007,-95.3024 +Buena Vista Colonia,26.2941,-98.6109 +Harwood,29.6658,-97.5053 +Snook,30.4907,-96.467 +Edom,32.3743,-95.6099 +Concan,29.4952,-99.7126 +Hedley,34.8674,-100.659 +Morning Glory,31.5648,-106.2089 +McBride,35.5181,-101.4941 +Potosi,32.3404,-99.6789 +Ranchitos Las Lomas,27.6283,-99.2344 +Princeton,33.1817,-96.5041 +Romero,35.7275,-102.9313 +Cienegas Terrace,29.3687,-100.9432 +Corinth,33.1434,-97.0681 +Jacinto City,29.7663,-95.241 +Kingsland,30.6651,-98.4545 +Donna,26.1468,-98.056 +Sumner,33.7404,-95.673 +Myra,33.624,-97.3145 +Fischer,29.9769,-98.2658 +Ringgold,33.8204,-97.9436 +Tuxedo,32.9329,-99.9518 +Ganado,29.0413,-96.511 +Garner,32.8332,-97.9853 +Booth,29.53,-95.6499 +New Falcon,26.6382,-99.0946 +Pleak,29.4852,-95.8097 +La Pryor,28.9487,-99.8483 +Italy,32.1858,-96.8867 +Cumby,33.1354,-95.8399 +Hamlin,32.8898,-100.1329 +Rochelle,31.2246,-99.2112 +Woodbine,33.6107,-97.0156 +Viola,27.8422,-97.5236 +Ira,32.5821,-101.0021 +Iatan,32.3368,-101.1287 +Thalia,33.9848,-99.5379 +Laguna Seca,26.2793,-97.9262 +Grays Prairie,32.4734,-96.3502 +Edgewater Estates,28.0969,-97.865 +Kingsmill,35.4884,-101.0596 +Blossom,33.6633,-95.3837 +Edgewood,32.6947,-95.8833 +Barksdale,29.7252,-100.034 +Berclair,28.5308,-97.5911 +Driftwood,30.133,-98.0373 +Mountain Home,30.1746,-99.3803 +Lueders,32.8004,-99.6232 +Carls Corner,32.0842,-97.0526 +Glendale,31.0157,-95.3011 +Fentress,29.7561,-97.7764 +Big Lake,31.1935,-101.4599 +Deanville,30.4322,-96.7561 +Kennard,31.3575,-95.1853 +Carlsbad,31.6113,-100.6406 +Val Verde Park,29.3746,-100.8306 +Roanoke,33.0148,-97.2268 +Albany,32.7273,-99.2957 +Paisano Park Colonia,28.0951,-97.8592 +Dermott,32.8545,-101.0157 +Rockwood,31.501,-99.3734 +West Sharyland,26.2718,-98.3404 +Tyler,32.3184,-95.3065 +Marsh,35.5398,-101.9221 +Batson,30.2494,-94.6071 +Whitsett,28.6342,-98.272 +La Blanca,26.3048,-98.0286 +Cleta,34.9253,-101.9266 +Seth Ward,34.2163,-101.6945 +Douglassville,33.1917,-94.3519 +Casa Piedra,29.7385,-104.0541 +Kopperl,32.0699,-97.5039 +Live Oak,29.5545,-98.3404 +Buchanan Dam,30.7807,-98.4393 +Little River,30.9888,-97.3661 +Tivoli,28.4608,-96.8915 +Farwell,34.3855,-103.0373 +Murchison,32.2751,-95.7561 +University Park,32.8506,-96.7937 +String Prairie,29.8858,-97.3469 +Darco,32.409,-94.4358 +Baldridge,31.0279,-102.6204 +Lavon,33.0254,-96.4396 +Knox City,33.4176,-99.8157 +Hitchland,36.4989,-101.3185 +Scottsville,32.5319,-94.2465 +Corsicana,32.0821,-96.468 +Petrolia,34.0132,-98.2312 +Cason,33.0387,-94.8149 +Plains,33.1896,-102.8271 +Airport Road Addition,27.219,-98.0981 +Breckenridge,32.7566,-98.9125 +Charco,28.7405,-97.6156 +Coldspring,30.5898,-95.1307 +Cleburne,32.3562,-97.4146 +Bee Cave,30.3087,-97.9619 +Oak Point,33.1802,-96.9911 +Burke,31.2345,-94.7665 +Sterley,34.2112,-101.3977 +Clairette,32.0393,-98.1189 +Frost,32.0788,-96.8086 +Moscow,30.9132,-94.8252 +Seguin,29.5894,-97.9659 +Togo,29.9505,-97.2192 +New Fairview,33.1122,-97.4489 +Winters,31.9564,-99.9293 +Lynchburg,29.7872,-95.0555 +Brady,31.1321,-99.3703 +Slaton,33.4421,-101.6477 +Yznaga,26.3188,-97.8153 +Riviera,27.2992,-97.7997 +Tiki Island,29.2985,-94.9175 +Tennyson,31.7418,-100.2862 +Mentone,31.7073,-103.5989 +La Casita,26.3368,-98.7335 +Pueblo Nuevo,27.4939,-99.3099 +Loop,32.9142,-102.4147 +Branton,32.1685,-98.9637 +Singleton,30.6521,-95.9586 +Alvin,29.3871,-95.2934 +Camp Swift,30.1885,-97.2933 +Glenn,33.7809,-100.8471 +Agua Dulce,27.7827,-97.9098 +Red Oak,32.5204,-96.7861 +Sandow,30.5646,-97.0728 +San Benito,26.1298,-97.644 +Kirvin,31.7671,-96.33 +Bluetown,26.0734,-97.8199 +Hawkins,32.5917,-95.2027 +Fabens,31.5136,-106.1521 +Ware,36.1848,-102.7102 +Midland,32.0249,-102.1137 +Carthage,32.1526,-94.3368 +Henly,30.1946,-98.2108 +Altair,29.5714,-96.4541 +Joaquin,31.9659,-94.0505 +Savoy,33.5999,-96.3662 +Donie,31.4771,-96.2225 +Wills Point,32.7093,-96.0052 +South Mountain,31.4398,-97.6793 +Dialville,31.8574,-95.2305 +Idalou,33.6624,-101.6837 +Owl Ranch,27.8927,-98.0934 +Coupland,30.4569,-97.3979 +Panorama Village,30.3806,-95.4944 +Anthony,31.9876,-106.5933 +Friona,34.6394,-102.7232 +Spraberry,31.9232,-101.8257 +Warda,30.0552,-96.9139 +Como,33.0601,-95.4757 +Caddo,32.7182,-98.6684 +The Hills,30.3464,-97.9864 +Bryan,30.6657,-96.3672 +Water Valley,31.6677,-100.717 +Niederwald,30.0043,-97.7541 +Voca,31.011,-99.1845 +Lane City,29.2161,-96.0263 +Lozano,26.1896,-97.5437 +Franklin,31.0251,-96.4875 +Flo,31.4182,-95.913 +Howe,33.5129,-96.6173 +Bayview,26.1324,-97.3973 +Terrell,32.7328,-96.292 +Alvord,33.3569,-97.696 +Conlen,36.2353,-102.2374 +Austin,30.3006,-97.7517 +Smith Point,29.5369,-94.7605 +Mumford,30.7344,-96.565 +Stoneburg,33.6712,-97.9053 +Preston,33.8671,-96.6596 +Bennett,32.719,-98.0478 +Helena,28.9539,-97.8233 +Leon Junction,31.341,-97.5942 +Parnell,34.5231,-100.6037 +Scissors,26.1333,-98.0475 +Florence,30.8406,-97.7927 +Needville,29.3957,-95.8387 +Opdyke,33.5931,-102.2755 +Wylie,33.0364,-96.516 +Brookshire,29.7826,-95.9545 +Bustamante,27.0009,-99.112 +Magoun,36.3764,-100.0335 +Lakeside City,33.8292,-98.5403 +Eldorado,30.8617,-100.5979 +Tascosa,35.5112,-102.2513 +Texas City,29.4128,-94.9658 +Los Villareales,27.7712,-99.4433 +Salineño,26.5177,-99.1119 +Falcon Heights,26.5604,-99.1225 +Jermyn,33.2643,-98.3884 +Hewitt,31.452,-97.1962 +Curtis,30.9213,-94.0646 +Manor,30.3555,-97.5296 +Kendleton,29.447,-96.001 +May,31.9796,-98.9201 +Universal City,29.5521,-98.3074 +Pidcoke,31.2791,-97.8884 +Los Fresnos,26.075,-97.4878 +Nickel Creek Station,31.9218,-104.7466 +Hillcrest,29.3924,-95.2233 +Andrews,32.3208,-102.552 +Mont Belvieu,29.8524,-94.8786 +Cash,32.9946,-96.108 +Waples,32.4837,-97.7203 +Mission Bend,29.6948,-95.6657 +Luella,33.5696,-96.5511 +Derby,28.7714,-99.1286 +Teague,31.6295,-96.2801 +César Chávez,26.3105,-98.1134 +Comanche,31.9005,-98.6044 +Taft,27.9801,-97.3911 +Gruhlkey,35.2653,-102.7441 +Edna,28.9757,-96.6483 +Hooks,33.4707,-94.284 +Stamford,33.0156,-99.6716 +Rotan,32.854,-100.4655 +Mercury,31.4124,-99.1576 +Brackettville,29.3181,-100.4109 +Progreso,26.0962,-97.9566 +Sierra Blanca,31.1834,-105.3395 +Brad,32.7518,-98.5078 +Kingwood,30.0336,-95.261 +Beeville,28.4059,-97.7494 +Benonine,35.227,-100.0146 +Crandall,32.6279,-96.4537 +Salt Flat,31.7437,-105.0927 +Cameron Park Colonia,25.9705,-97.4775 +Lark,35.2075,-101.2402 +Progress,34.2829,-102.8099 +Pollok,31.4466,-94.8722 +Brookesmith,31.5504,-99.1187 +Guy,29.3441,-95.783 +Highbank,31.1699,-96.8336 +Dodge,30.7455,-95.398 +Lindberg,32.6824,-97.2145 +Sabine,29.7199,-93.8716 +Wells Branch,30.4432,-97.6792 +Lake City,28.0821,-97.8828 +Weir,30.6759,-97.5929 +Seadrift,28.4144,-96.7158 +Glass,32.1913,-97.837 +Cedar Park,30.5105,-97.8198 +Orla,31.8251,-103.9088 +Smyer,33.5874,-102.1635 +Hale Center,34.0661,-101.8462 +Robert Lee,31.8954,-100.4856 +Bayside Terrace,29.6272,-95.0138 +Cego,31.2452,-97.1625 +Holland,30.8835,-97.4026 +Canadian,35.9098,-100.3839 +Hudson Oaks,32.7508,-97.6999 +La Homa,26.2773,-98.3579 +Barnhart,31.1279,-101.1707 +Chico,33.296,-97.7987 +La Ward,28.8464,-96.4649 +Charlotte,28.8593,-98.7006 +Center Point,29.9441,-99.0364 +Manning,31.1388,-94.5363 +Goodnight,35.0345,-101.1863 +Iola,30.7719,-96.0771 +Seco Mines,28.7467,-100.5026 +The Grove,31.2732,-97.5253 +Hebbronville,27.3239,-98.686 +Turkey,34.394,-100.8952 +Waelder,29.6943,-97.2972 +South Plains,34.2245,-101.3096 +Schertz,29.565,-98.2539 +Shady Shores,33.1627,-97.0395 +Johnsons Station,32.6921,-97.1281 +Somerset,29.2285,-98.6567 +Fannett,29.925,-94.2389 +Hext,30.8691,-99.5287 +Stephen Creek,30.6924,-95.1841 +Fronton,26.4259,-99.0763 +Grit,30.7832,-99.3201 +Boyd,33.0843,-97.5632 +San Diego,27.7609,-98.2389 +Tucker,31.6735,-95.748 +Linn,26.5662,-98.1297 +Wallis,29.6317,-96.0638 +Pumpville,29.9435,-101.7376 +Scallorn,31.3296,-98.4742 +Noonday,32.2439,-95.3973 +Moonshine Hill,30.003,-95.2363 +Pecan Hill,32.4906,-96.7815 +Vance,29.8158,-100.0137 +Highlands,29.813,-95.0577 +Cunningham,33.4265,-95.3574 +Kerrville,30.0399,-99.1319 +Thompsons,29.4906,-95.6304 +Baird,32.396,-99.3962 +Green,28.7389,-97.8725 +Los Ebanos Colonia,26.4114,-98.9185 +Clay,30.3894,-96.3436 +Penitas,26.2508,-98.4426 +Mildred,32.0411,-96.3483 +Sachse,32.9726,-96.5792 +Grandview,32.2685,-97.1775 +Sealy,29.7673,-96.1678 +Sherwood Shores,33.8478,-96.8147 +McKibben,36.1259,-101.339 +Nocona,33.7835,-97.7302 +Trumbull,32.4904,-96.6655 +Moffat,31.1999,-97.4683 +Saint Hedwig,29.4197,-98.2046 +Kermit,31.854,-103.0924 +Bastrop,30.1112,-97.3233 +Runaway Bay,33.1773,-97.871 +River Oaks,32.7767,-97.3984 +Maud,33.3299,-94.3461 +Sandy Oaks,29.1821,-98.4081 +Emory,32.8765,-95.7677 +Sullivan City,26.2752,-98.5644 +Magnolia,30.2117,-95.7419 +Umbarger,34.9545,-102.1055 +Katemcy,30.9127,-99.2539 +Everman,32.6296,-97.2828 +Chriesman,30.5994,-96.7708 +Ranchette Estates,26.4842,-97.8222 +Tolbert,34.2193,-99.3965 +Dale,29.9274,-97.5644 +Bledsoe,33.6193,-103.0213 +Amargosa Colonia,27.8916,-98.1086 +Lago Vista,30.4521,-97.991 +Vanderbilt,28.8208,-96.6096 +Liberty City,32.4502,-94.9438 +Myrtle Springs,32.6151,-95.9328 +Kelsay,26.3417,-98.74 +Lenz,28.7905,-97.9769 +Memphis,34.7268,-100.5417 +Lowry Crossing,33.1709,-96.5444 +Eastland,32.403,-98.8173 +Hudson Bend,30.4139,-97.928 +Ridgeway,33.1804,-95.7694 +Briaroaks,32.4958,-97.3033 +Garden Acres,32.5946,-97.3025 +Grapeland,31.4943,-95.4802 +Red Rock,29.9597,-97.4461 +Zuehl,29.496,-98.1504 +Seagoville,32.653,-96.5455 +Nash,33.4422,-94.1283 +Albion,33.859,-95.0308 +Bryden,36.0234,-101.9552 +Weesatche,28.8472,-97.448 +Pioneer,32.1115,-99.0876 +Brazoria,29.0455,-95.5673 +Trawick,31.771,-94.7433 +Villa Verde,26.1301,-97.9958 +Laureles,26.1168,-97.4875 +Marfa,30.3107,-104.0255 +Buckeye,28.8955,-96.048 +Wilmer,32.5983,-96.6817 +Whitehouse,32.2222,-95.2217 +Shawville,31.8501,-100.3001 +Rio Hondo,26.2346,-97.5817 +Weslaco,26.1668,-97.9859 +Encino,26.9364,-98.1151 +Doffing,26.2788,-98.3856 +Sun Valley,33.671,-95.4288 +Dodson,34.7654,-100.0204 +Monahans,31.6289,-103.0404 +Bedias,30.7792,-95.9469 +Dodd City,33.5757,-96.0755 +Red Lick,33.4767,-94.1688 +Violet,27.7836,-97.5953 +La Reforma,26.6856,-98.3745 +Phelps,30.6963,-95.4444 +Barton Creek,30.2818,-97.8681 +White Settlement,32.7554,-97.4605 +Blumenthal,30.2219,-98.7417 +Clayton,32.0982,-94.4749 +Missouri City,29.5635,-95.5377 +Palacios,28.7198,-96.235 +Stafford,29.6271,-95.5654 +Woodlake,31.0288,-95.033 +Little Cypress,30.1647,-93.756 +Joel,34.8606,-102.3016 +Ryan,30.4302,-104.2988 +Mertzon,31.2619,-100.8208 +Summerfield,34.7381,-102.5072 +Segno,30.5771,-94.6863 +Stagecoach,30.1438,-95.7079 +Presidio,29.5603,-104.3653 +Sheldon,29.8596,-95.134 +Pettus,28.6156,-97.8121 +Shamrock,35.2153,-100.2461 +Huffman,30.0272,-95.0858 +New Deal,33.7322,-101.8435 +Wilson,33.3192,-101.7274 +Thorntonville,31.5789,-102.9221 +Walnut Springs,32.0562,-97.7507 +Gonzales,29.5126,-97.4472 +Phillips,35.6912,-101.3638 +Whiteface,33.5996,-102.6134 +Votaw,30.4355,-94.6733 +Camp Wood,29.669,-100.0108 +Clauene,33.4618,-102.376 +Burkeville,30.9999,-93.668 +Stanton,32.1315,-101.7928 +Spurger,30.6927,-94.1777 +Conroe,30.322,-95.4807 +La Tina Ranch,26.2031,-97.4764 +Hilburn,34.3656,-102.0905 +Nevada,33.0463,-96.3811 +Agua Nueva,26.9017,-98.6003 +La Marque,29.369,-94.9957 +Whitewright,33.5108,-96.3957 +Miami,35.6924,-100.6416 +Oak Leaf,32.5138,-96.8563 +Pecan Grove,29.6235,-95.7331 +Bear Creek,30.1826,-97.94 +Scurry,32.5126,-96.385 +Ozona,30.7074,-101.2059 +Venus,32.4311,-97.1022 +Solis,26.1708,-97.8441 +Katy,29.7911,-95.8268 +Los Ebanos,26.2423,-98.558 +Four Points Colonia,27.7964,-99.4548 +Three Rivers,28.4668,-98.1784 +Elton,33.7045,-100.8415 +Gary,32.0288,-94.371 +Bunavista,35.6537,-101.4474 +Hillister,30.6677,-94.3813 +Fruitland,33.5018,-97.7956 +Otto,31.4491,-96.8089 +Rangerville,26.105,-97.7373 +Borger,35.6598,-101.4012 +Liberty,30.049,-94.7903 +Lelia Lake,34.9012,-100.7707 +Anahuac,29.7649,-94.6787 +Harmony,31.7582,-95.7938 +Dickens,33.6213,-100.8368 +China Springs,31.6524,-97.3078 +Tierra Grande,27.7037,-97.5718 +Junction,30.4906,-99.7725 +Aransas Pass,27.8877,-97.1134 +Rancho Chico,28.0243,-97.4966 +Knollwood,33.6892,-96.6185 +Vera,33.6334,-99.5662 +China,30.0522,-94.3332 +Canutillo,31.9185,-106.6006 +Garden Ridge,29.6379,-98.2926 +Coyanosa,31.2409,-103.0648 +Alpine,30.364,-103.665 +Cap Rock,33.4915,-101.3985 +Bradshaw,32.0985,-99.8979 +Chateau Woods,30.1685,-95.423 +Castroville,29.3512,-98.8721 +San Leon,29.49,-94.9403 +Raymondville,26.4759,-97.7769 +Honey Island,30.3955,-94.4407 +Wortham,31.7897,-96.461 +Westhoff,29.195,-97.4711 +Olden,32.419,-98.7509 +Buffalo,31.46,-96.066 +Crystal Falls,32.8957,-98.9003 +Agnes,32.9793,-97.7886 +Point,32.9301,-95.8688 +Indianola,28.5119,-96.4875 +Brownfield,33.1757,-102.273 +Lawrence,32.7424,-96.3428 +Penwell,31.7399,-102.5915 +Sulphur Springs,33.1421,-95.6124 +West Livingston,30.6957,-95.0097 +Laguna Heights,26.0804,-97.2569 +Calvert,30.9791,-96.6716 +Wadsworth,28.8325,-95.935 +Newburg,31.7868,-98.522 +Lufkin,31.3217,-94.7277 +Hasse,31.9365,-98.4887 +Pottsboro,33.7709,-96.671 +Kempner,31.0755,-97.9726 +Winfield,33.1658,-95.1105 +Dickinson,29.454,-95.0586 +Iraan,30.9129,-101.9001 +Nome,30.0364,-94.4064 +San Augustine,31.5297,-94.1108 +Rankin,31.2253,-101.9394 +Shenandoah,30.184,-95.4556 +Pickton,33.0282,-95.393 +Goree,33.468,-99.5236 +Westover,33.4973,-99.0178 +Swiss Alp,29.7825,-96.9094 +Flower Mound,33.0344,-97.1147 +Lakeland Heights,32.7229,-96.982 +Weston Lakes,29.6627,-95.9353 +San Juan Colonia,26.415,-98.9437 +Westdale,27.9657,-97.9938 +Channing,35.6819,-102.3323 +Daisetta,30.1135,-94.6426 +Fritch,35.6431,-101.5964 +Llano,30.7509,-98.6763 +Bogata,33.4699,-95.2135 +Enchanted Oaks,32.2666,-96.109 +Brownwood,31.7124,-98.9766 +New York,32.1679,-95.6691 +Burton,30.1813,-96.5999 +Harrold,34.0806,-99.0323 +Horizon City,31.6799,-106.1903 +Abilene,32.4543,-99.7384 +Anton,33.8113,-102.1622 +Westminster,33.3649,-96.4598 +Kirbyville,30.6578,-93.9001 +Amistad Acres,29.5245,-101.1531 +Electra,34.0321,-98.9208 +Rocksprings,30.0172,-100.2128 +Berryville,32.0877,-95.4666 +Lockney,34.1231,-101.4424 +Alton,26.2884,-98.3098 +Nada,29.405,-96.3864 +La Coste,29.3099,-98.8116 +Sadler,33.6821,-96.8487 +Santo,32.6032,-98.2153 +Putnam,32.3703,-99.1955 +Jayton,33.2502,-100.5748 +Sheridan,29.4936,-96.6711 +Gruver,36.2562,-101.4122 +Clairemont,33.1665,-100.7526 +Domino,33.2477,-94.1179 +South Toledo Bend,31.1568,-93.6074 +Mercedes,26.1533,-97.9128 +Gregory,27.9221,-97.2918 +Dime Box,30.3566,-96.8225 +Lindsay,33.6414,-97.2186 +Evadale,30.3369,-94.06 +Beverly Hills,31.5224,-97.1564 +Mobeetie,35.5292,-100.4393 +Tahoka,33.164,-101.7951 +Bessmay,30.4627,-93.9532 +Cottonwood,32.4622,-96.3956 +East Bernard,29.5241,-96.0622 +Leakey,29.7254,-99.7631 +Bishop,27.5851,-97.7977 +Evergreen Colonia,26.4247,-99.024 +Allenfarm,30.3994,-96.2438 +Paris,33.6689,-95.5462 +Loma Linda Colonia,28.007,-97.4994 +Pontotoc,30.9093,-98.98 +Patton Village,30.1956,-95.1697 +Lake View,29.459,-100.9532 +Relampago,26.0851,-97.9059 +Spring Gardens,27.7615,-97.7419 +Grape Creek,31.5817,-100.5474 +Port Bolivar,29.3808,-94.7644 +Wilkinson,33.3484,-94.9516 +Denison,33.7675,-96.5807 +Independence,30.3194,-96.3466 +Goliad,28.6708,-97.3916 +Weches,31.5441,-95.2277 +North Alamo,26.216,-98.1264 +Upton,30.0113,-97.2642 +Sienna Plantation,29.4831,-95.5073 +Bailey Prairie,29.1527,-95.4977 +Uhland,29.9616,-97.7926 +Minters Chapel,32.8857,-97.0606 +Saginaw,32.8654,-97.3653 +Lillian,32.5065,-97.1875 +Buckholts,30.8741,-97.1288 +Dryden,30.0446,-102.1146 +Newport,33.4679,-98.0164 +Kenefick,30.1069,-94.8502 +Lincoln Park,33.224,-96.9727 +Lockhart,29.8785,-97.6831 +Fredericksburg,30.2671,-98.8757 +Dickworsham,33.7515,-98.1156 +Hedwigs Hill,30.6657,-99.112 +Mirando City,27.4401,-99.0006 +Wall,31.3741,-100.3076 +Camden,30.9171,-94.7344 +Palisades,35.0614,-101.8032 +Blue Ridge,33.298,-96.3999 +Shelbyville,31.7616,-94.0785 +Bebe,29.4152,-97.6372 +Driscoll,27.673,-97.7511 +Tesco,32.4946,-100.2432 +De Leon,32.1114,-98.5351 +Benbrook,32.6764,-97.4644 +Cashion Community,34.0364,-98.5083 +Bandera Falls,29.6772,-98.9634 +Hermosa,31.3765,-103.6416 +Ochoa,29.6671,-104.5008 +Linden,33.011,-94.3626 +Tenaha,31.944,-94.2457 +La Puerta,26.3468,-98.7504 +Aurora,33.056,-97.5096 +New Home,33.3269,-101.9117 +Annetta South,32.6743,-97.6482 +Magnolia Gardens,29.8866,-95.1127 +Los Angeles,28.4658,-99 +Volente,30.4454,-97.908 +Lazare,34.2831,-99.9976 +Bayou Vista,29.3257,-94.939 +Atascocita,29.9777,-95.1952 +Kenney,30.0477,-96.3269 +Papalote,28.1725,-97.6019 +Rosebud,31.0756,-96.9749 +Stonewall,30.2497,-98.6593 +Hackberry,33.1501,-96.9184 +Mila Doce,26.223,-97.9601 +Pinewood Estates,30.1692,-94.3207 +Hawley,32.6037,-99.8111 +Dewalt,29.5566,-95.5566 +Sunset Valley,30.2258,-97.8158 +Hilltop Lakes,31.0755,-96.1914 +Santa Fe,29.3891,-95.1005 +Gilpin,33.4151,-100.7165 +Dayton Lakes,30.1447,-94.8209 +Quebec,30.5107,-104.3996 +Rio Vista,32.2351,-97.3743 +Titley,30.4835,-103.5888 +Shiner,29.4333,-97.1734 +Normanna,28.5277,-97.7831 +Delhi,29.8274,-97.3955 +Newlin,34.5898,-100.4443 +Mount Calm,31.7566,-96.8818 +Rockdale,30.6543,-97.0088 +Winchell,31.4721,-99.1609 +Woodson,33.0149,-99.0534 +Cove,29.8112,-94.8202 +Port Neches,29.9765,-93.946 +Brice,34.7056,-100.8963 +Port Alto,28.66,-96.4133 +Western Lake,32.6215,-97.816 +Stairtown,29.7183,-97.7278 +Gholson,31.7123,-97.2359 +Temple,31.1076,-97.3894 +Tiffin,32.4965,-98.6631 +Johnson City,30.2743,-98.4064 +Telferner,28.8489,-96.8905 +Malvado,29.968,-101.8682 +Perrin,33.0348,-98.0693 +Oak Trail Shores,32.4885,-97.8357 +Lakehills,29.6237,-98.9448 +Glen Rose,32.2462,-97.744 +Mansfield,32.569,-97.1211 +Sabine Pass,29.7336,-93.8943 +League City,29.4874,-95.1087 +East Tawakoni,32.9011,-95.9397 +Jubilee Springs,31.1768,-97.4992 +West Columbia,29.1422,-95.649 +Uncertain,32.7061,-94.1273 +Center,31.7929,-94.1795 +Seagraves,32.9419,-102.5657 +Monte Alto,26.3744,-97.9727 +Etter,36.027,-101.9996 +White Deer,35.4332,-101.1751 +South Houston,29.6611,-95.2285 +Wellington,34.8538,-100.2141 +Livingston,30.71,-94.9381 +Lasana,26.2585,-97.695 +Richardson,32.9717,-96.7092 +Joplin,33.0937,-97.9948 +Ennis,32.3258,-96.6374 +Cranfills Gap,31.7752,-97.8304 +Talpa,31.7765,-99.7095 +Lopeño,26.7119,-99.101 +Ralls,33.6788,-101.3845 +Cliffside,35.2651,-101.9327 +Somerville,30.346,-96.5311 +Stockdale,29.2358,-97.9636 +Holiday Beach,28.167,-97.006 +Tira,33.3217,-95.5609 +Barstow,31.4616,-103.3955 +Rudolph,26.6856,-97.7689 +Imperial,31.2668,-102.6947 +Granjeno,26.1374,-98.3032 +Springtown,32.9695,-97.6805 +Easterly,31.1055,-96.3841 +Briggs,30.8896,-97.925 +Troup,32.145,-95.1224 +Loving,33.2643,-98.5106 +Lobo,30.814,-104.753 +Granite Shoals,30.5895,-98.3778 +Lela,35.2275,-100.3429 +Hunter,29.8072,-98.0236 +Brazos,32.6615,-98.122 +Lone Star,32.9392,-94.7091 +Oxford,30.6041,-98.7042 +Palito Blanco,27.5917,-98.1892 +Canyon Lake,29.8762,-98.2617 +Tulia,34.5374,-101.7742 +Alma,32.2813,-96.5506 +Gordonville,33.7957,-96.8531 +Luling,29.6817,-97.6466 +Falman,27.9281,-97.1713 +Clute,29.0257,-95.3973 +Navasota,30.3869,-96.0895 +Malone,31.917,-96.8948 +Tulip,33.8082,-96.1314 +Groves,29.9457,-93.9164 +Shafter,29.8202,-104.3033 +Waller,30.0629,-95.9221 +Caney City,32.2097,-96.0381 +Houston,29.7868,-95.3905 +Roman Forest,30.1812,-95.1549 +Spring,30.0613,-95.383 +Windcrest,29.5148,-98.3819 +Exell,35.6306,-101.9746 +Moran,32.5471,-99.1663 +Welch,32.9306,-102.1256 +Washburn,35.1767,-101.5732 +Cactus,36.0444,-102.008 +Weimar,29.7,-96.7773 +Glidden,29.6976,-96.5908 +La Grange,29.9129,-96.8767 +Elsa,26.2969,-97.9937 +Dalhart,36.058,-102.5123 +Farmersville,33.1609,-96.3609 +Los Altos Colonia,27.4905,-99.3859 +Novice,31.9872,-99.6253 +Villa del Sol,26.1915,-97.5782 +Cinco Ranch,29.7395,-95.7607 +Bloomington,28.6504,-96.9022 +Flynn,31.151,-96.1244 +Wolfforth,33.5149,-102.0066 +Milford,32.1215,-96.9498 +College Station,30.5852,-96.296 +Blanket,31.8249,-98.7895 +Grand Prairie,32.6869,-97.0209 +Kerens,32.1308,-96.225 +Richwood,29.0775,-95.4064 +Victoria,28.8285,-96.985 +Nocona Hills,33.8524,-97.6435 +Downing,32.024,-98.5506 +Coble,33.5951,-102.503 +Quintana,28.928,-95.317 +Socorro,31.6385,-106.2601 +Whiteflat,34.1054,-100.8896 +Woodbranch,30.1814,-95.1834 +Hye,30.2424,-98.57 +Booker,36.4561,-100.5402 +Burleson,32.5173,-97.3346 +Big Spring,32.2387,-101.4802 +Olney,33.3643,-98.7584 +Shady Hollow,30.1646,-97.8629 +Priddy,31.6754,-98.5089 +Bevil Oaks,30.1517,-94.2711 +Rachal,26.8901,-98.1353 +Brownsboro,32.2985,-95.613 +Lake Bridgeport,33.2075,-97.8311 +Aldine,29.9122,-95.3785 +Loma Alta,29.918,-100.7745 +Cuney,32.0374,-95.4147 +Penelope,31.8585,-96.9281 +Colleyville,32.8913,-97.1486 +Jasper,30.9221,-93.9947 +Rancho Viejo,26.0361,-97.5568 +Purves,32.0035,-98.2703 +Arney,34.6873,-102.103 +Clarksville City,32.5328,-94.8945 +Gainesville,33.6391,-97.1488 +Mason,30.748,-99.2288 +Lilbert,31.7363,-94.901 +Fairland,30.6441,-98.2847 +Arispe,31.1512,-105.275 +Moore Station,32.1905,-95.5704 +Martindale,29.8448,-97.8396 +Meridian,31.926,-97.6502 +Mooring,30.6896,-96.5555 +Bishop Hills,35.2614,-101.9519 +Rosharon,29.35,-95.453 +Ladonia,33.4283,-95.9482 +Jacksboro,33.2235,-98.1589 +Eden,31.2162,-99.844 +Killeen,31.0754,-97.7293 +South Padre Island,26.1218,-97.1703 +Cat Spring,29.8455,-96.3258 +Adamsville,31.3013,-98.1689 +Westway,31.9603,-106.576 +Van Alstyne,33.4203,-96.5834 +Utopia,29.6188,-99.5153 +Chester,30.9213,-94.6 +Lake Dallas,33.1277,-97.0234 +Kilgore,32.3979,-94.8603 +Brownsville,25.998,-97.4565 +Groveton,31.0572,-95.1269 +Laguna Vista,26.1075,-97.2967 +Jarrell,30.8101,-97.6139 +Double Oak,33.0633,-97.1117 +Lenorah,32.3046,-101.8762 +Warren City,32.553,-94.9058 +Pleasant Valley,33.9373,-98.5982 +Tornillo,31.4366,-106.1033 +Aledo,32.6973,-97.607 +Malakoff,32.1727,-96.0162 +Hollywood Park,29.5995,-98.4841 +Rising Star,32.0976,-98.9665 +George West,28.33,-98.1184 +Glazier,36.0114,-100.2637 +Greenville,33.1116,-96.1098 +Wheelock,30.8977,-96.39 +Notrees,31.9173,-102.7557 +Sweeny,29.0464,-95.6986 +Hoover,35.5939,-100.8507 +Arthur City,33.8704,-95.5063 +Dayton,30.0358,-94.9024 +Pearland,29.5585,-95.3215 +Lake Worth,32.813,-97.4306 +Lydia,33.4462,-94.7547 +Citrus City,26.3281,-98.3923 +Fair Oaks Ranch,29.7451,-98.6395 +Bardwell,32.267,-96.6954 +First Colony,29.5747,-95.6086 +Detroit,33.6602,-95.2665 +Dew,31.5952,-96.14 +San Antonio,29.4722,-98.5247 +Dimmitt,34.5325,-102.3111 +Fort Stockton,30.8926,-102.8848 +Goober Hill,31.6516,-93.931 +Iowa Park,33.9623,-98.682 +K-Bar Ranch,27.9928,-97.9267 +Diana,32.7099,-94.7522 +Grandfalls,31.3405,-102.8545 +Rose City,30.1049,-94.0506 +Hebron,33.0436,-96.8836 +Crosby,29.9146,-95.0591 +Kingsbury,29.6484,-97.8176 +B and E Colonia,26.3565,-98.7537 +Asherton,28.4461,-99.7604 +Selman City,32.1902,-94.9619 +Hickory Creek,33.111,-97.0307 +Copperas Cove,31.1192,-97.9141 +Poth,29.0726,-98.0809 +Manchaca,30.1353,-97.8362 +Vandyke,31.9724,-98.5609 +Fate,32.9431,-96.388 +Converse,29.5133,-98.3078 +Hutto,30.5372,-97.5514 +Wells,31.4916,-94.9473 +Lytle,29.2338,-98.7943 +Giles,34.8189,-100.586 +Richland Hills,32.8095,-97.2273 +Oak Island,29.663,-94.6883 +Jacksonville,31.9643,-95.2617 +Ace,30.5363,-94.8244 +Francitas,28.8597,-96.3386 +Annetta North,32.7193,-97.6723 +West Orange,30.0791,-93.7599 +Kurten,30.7897,-96.2759 +Morgan,32.0156,-97.6061 +Hungerford,29.404,-96.0837 +Cut and Shoot,30.3404,-95.354 +Flowella,27.22,-98.0645 +Lone Oak,32.9961,-95.9406 +Brookside Village,29.5907,-95.318 +Girard,33.3635,-100.6597 +Fostoria,30.3263,-95.1663 +Alba,32.7906,-95.6343 +Reklaw,31.8662,-94.9834 +Rayburn,30.4135,-94.9244 +Kountze,30.3724,-94.316 +Castor,32.2549,-93.166 +Holly Beach,29.7708,-93.4593 +Colfax,31.5208,-92.7001 +Beekman,32.9237,-91.8843 +Rodessa,32.9735,-93.9968 +Rosepine,30.9207,-93.2857 +Big Bend,31.0738,-91.7921 +Buras,29.3528,-89.5248 +Kaplan,30.006,-92.2839 +Powhatan,31.8738,-93.2033 +Gassoway,32.9898,-91.2248 +Keatchie,32.1885,-93.9055 +Kraemer,29.8606,-90.6337 +Leander,31.1485,-92.8465 +Siracusaville,29.6886,-91.1522 +Jennings,30.2233,-92.6582 +Lucky,32.2443,-93.0158 +Standard,31.9177,-92.2201 +Lakeshore,32.535,-92.0328 +Atlanta,31.8064,-92.7383 +Easton,30.7513,-92.4287 +Robeline,31.6898,-93.3039 +Black Hawk,31.1557,-91.636 +Intracoastal City,29.7844,-92.1562 +Breaux Bridge,30.2829,-91.9043 +Litroe,32.9935,-92.1962 +Ledoux,30.6191,-92.1901 +Calvin,31.9617,-92.7758 +Gloster,32.1921,-93.8112 +Braithwaite,29.8663,-89.9437 +Port Barre,30.5565,-91.9565 +Henry,29.8833,-92.0785 +Saint Landry,30.8444,-92.2579 +Choudrant,32.551,-92.5118 +Shongaloo,32.9416,-93.2955 +Triumph,29.3443,-89.4683 +Grand Isle,29.2134,-90.0306 +Tunica,30.9293,-91.5551 +Bentley,31.5157,-92.4882 +Maurice,30.1041,-92.1211 +Sieper,31.211,-92.8082 +Center Point,31.2524,-92.2099 +Gueydan,30.029,-92.507 +Lakeview,32.5238,-93.8299 +South Mansfield,32.0181,-93.7237 +Grand Cane,32.0836,-93.8088 +Lafourche,29.7672,-90.7659 +Pleasant Hill,31.8154,-93.5164 +Galbraith,31.4913,-92.8124 +Chase,32.0971,-91.699 +Batchelor,30.8405,-91.6615 +Transylvania,32.6785,-91.1826 +Gray,29.6776,-90.7833 +Opelousas,30.528,-92.0851 +Arcadia,32.5506,-92.9218 +Denham Springs,30.4743,-90.9594 +Simsboro,32.5323,-92.7839 +Ludington,30.8741,-93.2852 +Grand Coteau,30.4202,-92.0438 +Manchac,30.2916,-90.402 +Chopin,31.4968,-92.8593 +Sterlington,32.6888,-92.0603 +Lone Star,29.9277,-90.3406 +Liberty Hill,32.3377,-92.8921 +Creston,31.976,-93.0499 +Egan,30.246,-92.5135 +Galion,32.8596,-91.7532 +Mayna,31.4263,-91.8615 +Bourg,29.557,-90.6064 +Merryville,30.7571,-93.5245 +Metairie,29.9976,-90.1781 +Saint Maurice,31.7614,-92.9388 +Minorca,31.5725,-91.4884 +Oak Ridge,32.6244,-91.7731 +Reeves,30.5216,-93.0428 +Colquitt,32.9499,-92.9738 +Naborton,32.0418,-93.5832 +Mangham,32.309,-91.7795 +Scarsdale,29.8452,-89.9778 +Husser,30.6794,-90.3373 +Anacoco,31.2545,-93.344 +Dupont,30.9294,-91.9479 +South Vacherie,29.9406,-90.6891 +Clay,32.4329,-92.6771 +Oakdale,30.8158,-92.6541 +Pilottown,29.1816,-89.2576 +Gibson,29.6869,-90.9907 +Spencer,32.7401,-92.1318 +White Castle,30.1611,-91.1495 +Clare,31.3255,-93.6046 +Haynesville,32.9667,-93.1376 +Blanchard,32.6091,-93.8841 +Westwego,29.9058,-90.1434 +Gilark,32.6388,-93.3096 +Bayou Cane,29.6243,-90.751 +Grayson,32.0492,-92.1116 +Gullett,30.7146,-90.5065 +Walters,31.5474,-91.996 +Baldwin,29.8388,-91.5522 +Fort Jesup,31.6118,-93.4077 +Lutcher,30.0646,-90.7124 +Harvey,29.8871,-90.0664 +Robert,30.5063,-90.3409 +Collinston,32.6893,-91.8718 +Richmond,32.3884,-91.1804 +Long Bridge,31.0141,-92.0185 +Bryceland,32.4485,-92.9924 +Vidalia,31.5668,-91.4405 +Clarks,32.0288,-92.1408 +Lena,31.4607,-92.7707 +Bayou Goula,30.2105,-91.1765 +Vernon,32.3888,-92.5715 +Lafitte,29.6957,-90.0995 +Brownsville,32.4883,-92.1619 +Sicily Island,31.8492,-91.6599 +Junction City,33.0073,-92.7224 +Cheneyville,31.011,-92.29 +Bernice,32.8276,-92.6584 +Ossun,30.2834,-92.107 +Glencoe,29.8112,-91.6702 +Oretta,30.529,-93.4391 +Sheltons,32.8293,-91.9074 +Eva,31.4291,-91.7876 +Old Jefferson,30.3776,-91.006 +Zachary,30.6641,-91.1623 +Forbing,32.3927,-93.7274 +Hagewood,31.7152,-93.2152 +Hayes,30.1112,-92.9235 +Wyatt,32.1554,-92.7032 +Warnerton,30.9902,-90.1831 +Crowley,30.2175,-92.3752 +Ragley,30.5127,-93.2324 +Mound,32.333,-91.0241 +Jordan Hill,31.8591,-92.5156 +Sulphur,30.229,-93.356 +Haile,32.831,-92.1462 +Monterey,31.4436,-91.7191 +Edgefield,32.0501,-93.336 +Fifth Ward,31.1207,-92.1584 +Tullos,31.8188,-92.3292 +Bunkie,30.954,-92.1884 +Bush,30.6088,-89.9001 +Bienville,32.3618,-92.9788 +Retreat,30.9721,-91.4851 +Alsen,30.5713,-91.2043 +Jena,31.6914,-92.1298 +Wilmer,30.8141,-90.3626 +New Era,31.3671,-91.8273 +Mount Hermon,30.9602,-90.2959 +Oxford,31.9235,-93.628 +Bonita,32.9206,-91.6751 +Calhoun,32.5153,-92.3539 +Laurel Grove,29.8238,-90.879 +Lacombe,30.3141,-89.931 +Pioneer,32.7381,-91.4381 +Starks,30.3105,-93.6667 +Effie,31.216,-92.1557 +Golden Meadow,29.3876,-90.2739 +Killona,29.9985,-90.4851 +Noble,31.6899,-93.6832 +Bayou Sorrel,30.1619,-91.3357 +Phoenix,29.646,-89.9398 +Roy,32.224,-93.1521 +Welsh,30.2355,-92.8135 +Jarreau,30.6207,-91.4509 +Belle Rose,30.0421,-91.0498 +Kentwood,30.9339,-90.5153 +Gardner,31.2696,-92.6929 +Bordelonville,31.1011,-91.9005 +Pierre Part,29.9555,-91.2074 +Youngsville,30.096,-91.9964 +Houma,29.5799,-90.7058 +Summerville,31.7554,-92.1624 +Cedar Grove,29.7949,-90.0223 +Buhler,30.333,-93.3621 +Marthaville,31.7388,-93.3966 +Loranger,30.6357,-90.3981 +Zwolle,31.6398,-93.6412 +Riverton,32.1607,-92.0962 +Ponchatoula,30.4402,-90.4427 +Point Blue,30.6271,-92.3024 +Calcasieu,31.0896,-92.7115 +Epps,32.6038,-91.4814 +Juanita,30.6185,-93.4252 +Sorrel,29.8879,-91.6226 +Ventress,30.6824,-91.4248 +Summerfield,32.9126,-92.8293 +Martin,32.0983,-93.2193 +Kelly,31.9807,-92.1768 +Haaswood,30.3288,-89.7445 +Wheeling,31.7463,-92.8393 +Frogmore,31.6032,-91.6704 +Edgerly,30.2327,-93.506 +Keithville,32.3332,-93.8363 +Grand Point,30.0451,-90.7488 +Poydras,29.8625,-89.8877 +Alsatia,32.6129,-91.1823 +Felixville,30.9424,-90.8768 +Goldonna,32.0193,-92.9162 +Monroe,32.5184,-92.0774 +Carencro,30.3115,-92.0385 +Wilson,30.9236,-91.109 +Sugartown,30.8401,-93.0124 +Jay,29.5952,-90.4684 +Gonzales,30.2131,-90.9234 +Ruston,32.5329,-92.6364 +Montgomery,31.6677,-92.8877 +Covington,30.4808,-90.1122 +Evangeline,30.2624,-92.5707 +Marrero,29.8871,-90.1126 +Jonesville,31.6238,-91.83 +Swartz,32.5809,-91.9869 +Hall Summit,32.1768,-93.3055 +Marco,31.5093,-92.7649 +Romeville,30.0676,-90.8341 +Mount Lebanon,32.5053,-93.0499 +Serena,31.4405,-91.864 +Clayton,31.7226,-91.5373 +Cypress,31.6054,-93.0388 +Delhi,32.4529,-91.49 +Monticello,30.4881,-91.0449 +Chackbay,29.8817,-90.7742 +Cullen,32.9699,-93.4464 +Hamburg,31.0307,-91.9315 +Jonesboro,32.2347,-92.7098 +Millikin,32.9618,-91.2259 +Longville,30.609,-93.2282 +Forest Hill,31.0478,-92.5241 +Rogers,31.5324,-92.2251 +Dry Prong,31.5806,-92.5305 +Raceland,29.7282,-90.6362 +Turkey Creek,30.8732,-92.417 +Grand Ecore,31.8157,-93.0849 +Natalbany,30.5486,-90.4848 +Greenwood,32.436,-93.9636 +Haughton,32.5272,-93.5042 +Woodworth,31.1655,-92.5097 +Loreauville,30.0601,-91.7378 +Supreme,29.8604,-90.9955 +Olla,31.8981,-92.2404 +Belle Terre,30.0696,-91.0159 +Montpelier,30.6823,-90.6545 +Baskin,32.2591,-91.7473 +Bancroft,30.5652,-93.6855 +Lake Providence,32.8133,-91.1826 +Stanley,31.9608,-93.8995 +North Hodge,32.2845,-92.7171 +Flournoy,32.4493,-93.9002 +Maringouin,30.4907,-91.5187 +Gretna,29.91,-90.0516 +Zona,30.7482,-90.0812 +Elton,30.4812,-92.6976 +Flatwoods,31.4027,-92.8682 +Washington,30.615,-92.0595 +Hodge,32.2719,-92.7303 +Mansura,31.0673,-92.0528 +Ferriday,31.6343,-91.5562 +Jefferson,29.9609,-90.1554 +River Ridge,29.9593,-90.2202 +Jamestown,32.3397,-93.2066 +Leonville,30.4661,-91.9811 +Evergreen,30.9527,-92.1052 +Arabi,29.9561,-89.9986 +Funston,32.0499,-93.9691 +Bosco,32.2902,-92.089 +Weldon,32.8596,-92.7254 +Bolivar,30.8691,-90.3948 +Erwinville,30.5428,-91.3913 +McNary,30.9895,-92.5794 +Welcome,30.0474,-90.8823 +Mira,32.9421,-93.8891 +Oberlin,30.607,-92.7724 +Melder,31.1052,-92.6365 +Lake Arthur,30.0795,-92.6773 +Avondale,29.9072,-90.1933 +Chatham,32.3094,-92.4522 +Arnaudville,30.4021,-91.932 +Boothville,29.333,-89.4052 +Pineville,31.3414,-92.4096 +Percle,29.8685,-91.0118 +Chauvin,29.4455,-90.594 +Extension,31.9707,-91.806 +Estelle,29.8438,-90.1006 +Des Allemands,29.8162,-90.4746 +Reddell,30.6687,-92.4268 +Saint Francisville,30.7851,-91.3787 +Fenton,30.3638,-92.9164 +Centerville,29.7597,-91.4284 +Clinton,30.8614,-91.015 +Evans,30.9891,-93.5021 +Point,32.661,-92.2776 +Pitkin,30.9344,-92.9267 +Tendal,32.4324,-91.3668 +Frierson,32.2487,-93.6893 +Pine Grove,30.7099,-90.754 +Mimosa Park,29.9063,-90.3562 +Paradis,29.868,-90.4398 +Hico,32.7449,-92.7138 +Carville,30.2174,-91.0962 +Darnell,32.6776,-91.4532 +Verret,29.8619,-89.7798 +Norco,29.9986,-90.4036 +Derry,31.5341,-92.9477 +Ellsworth,29.6733,-90.8151 +Start,32.4902,-91.865 +Pine Prairie,30.7818,-92.4223 +Innis,30.878,-91.6807 +Frenier,30.1077,-90.4268 +Gilbert,32.0507,-91.6567 +Geismar,30.2044,-91.0226 +Diamond,29.5355,-89.762 +Lebeau,30.7313,-91.9771 +Morse,30.1221,-92.4985 +New Roads,30.6959,-91.4537 +Springville,30.4355,-90.6831 +Shenandoah,30.4019,-91.002 +Lettsworth,30.9335,-91.7048 +Many,31.5662,-93.4778 +Delta,32.322,-90.9414 +Varnado,30.8953,-89.8319 +Whiteville,30.7883,-92.1476 +Meaux,30.0208,-92.1826 +Dunbarton,31.7268,-91.6587 +Catahoula,30.2125,-91.7127 +Shreveport,32.4659,-93.7959 +New Sarpy,29.981,-90.3829 +Slidell,30.2882,-89.7826 +Westdale,32.1649,-93.4799 +Searcy,31.7052,-92.2282 +Delcambre,29.9515,-91.9917 +Enterprise,31.9032,-91.8832 +Concession,29.831,-90.004 +Ansley,32.3957,-92.6929 +Hutton,31.3305,-93.0324 +Maxie,30.3252,-92.4079 +Winnfield,31.924,-92.6425 +Grosse Tete,30.4148,-91.4395 +Red Chute,32.5732,-93.6059 +New Orleans,30.0687,-89.9288 +Eastwood,32.5606,-93.5625 +Saint Gabriel,30.2536,-91.1013 +Plain Dealing,32.9074,-93.6992 +Cocodrie,29.2469,-90.6615 +Wallace Ridge,31.6849,-91.8321 +Crown Point,29.7722,-90.0854 +Toro,31.2805,-93.5441 +Gibsland,32.5395,-93.0541 +Westminster,30.408,-91.0906 +Waggaman,29.9373,-90.2354 +Eden Isle,30.2279,-89.7987 +Edgard,30.0362,-90.546 +Danville,32.229,-92.8479 +Krotz Springs,30.5323,-91.7518 +Yscloskey,29.8419,-89.6884 +Brusly,30.3943,-91.2517 +Pointe à la Hache,29.5737,-89.7808 +Patterson,29.6909,-91.3096 +Natchitoches,31.7317,-93.0979 +Waterproof,31.8072,-91.3861 +Goldman,31.8285,-91.3807 +Slaughter,30.7219,-91.1393 +Mer Rouge,32.7767,-91.7949 +Addis,30.3652,-91.2659 +Saint James,30.0184,-90.8513 +Jones,32.9676,-91.6482 +Perryville,32.7079,-92.0054 +Gorum,31.433,-92.9435 +Ravenswood,30.6721,-91.6896 +Knight,30.9155,-93.4485 +Benton,32.6906,-93.74 +Manifest,31.7102,-91.9621 +Dodson,32.0808,-92.6587 +Vienna Bend,31.7372,-93.0343 +Banks Springs,32.0764,-92.085 +Lafayette,30.2083,-92.0322 +Natchez,31.6743,-93.0456 +Burr Ferry,31.0663,-93.496 +Lindsay,30.7177,-91.2179 +Sherburne,30.5149,-91.719 +Brownsfield,30.5467,-91.1225 +Kingston,32.1843,-93.711 +Cankton,30.3455,-92.113 +Bayou Corne,30.0159,-91.1528 +English Turn,29.8755,-89.9651 +Newellton,32.0723,-91.239 +Sunset,30.4083,-92.064 +Crescent,30.2405,-91.2864 +West Monroe,32.512,-92.1514 +Sikes,32.079,-92.4863 +Sibley,32.5423,-93.2947 +Iberville,30.296,-91.1168 +Harahan,29.9374,-90.2031 +Lecompte,31.0882,-92.4005 +Hammond,30.506,-90.456 +Bayou Chicot,30.8171,-92.351 +Union,30.0917,-90.8844 +Springhill,33.0019,-93.4613 +Erath,29.9587,-92.037 +Anandale,31.2552,-92.454 +Schriever,29.7334,-90.831 +Shell Beach,29.8533,-89.6795 +Alden Bridge,32.7751,-93.7202 +Independence,30.6362,-90.5056 +Henderson,30.3163,-91.7995 +Ridgecrest,31.6018,-91.5302 +Terrytown,29.9016,-90.028 +North Highlands,32.5693,-93.7899 +Dunn,32.4643,-91.5785 +Gramercy,30.061,-90.6929 +Pearl River,30.3687,-89.7495 +Fred,30.6488,-91.1054 +Lillie,32.9221,-92.6614 +Arlington,30.3882,-91.1718 +Grambling,32.5275,-92.7124 +Fisher,31.4934,-93.4597 +Gillis,30.3769,-93.1999 +Saint Rose,29.9649,-90.3088 +Homer,32.793,-93.0582 +Happy Jack,29.5219,-89.7337 +Dubach,32.702,-92.6575 +Oakville,29.783,-90.0265 +Stella,29.8194,-89.9959 +Antrim,32.8774,-93.7052 +Abita Springs,30.4765,-90.0292 +Saint Benedict,30.5269,-90.1126 +Oak Grove,32.8619,-91.3911 +Midway,31.6788,-92.1493 +Gilliam,32.829,-93.8433 +Paulina,30.0351,-90.7226 +Westlake,30.2604,-93.2635 +Sugar Creek,32.6682,-92.8868 +Charenton,29.8685,-91.5388 +Folsom,30.6304,-90.1946 +Livonia,30.5623,-91.5502 +Marion,32.8997,-92.2405 +Darlington,30.878,-90.7815 +Allen,31.8354,-93.2885 +Bellwood,31.5274,-93.2054 +Caspiana,32.289,-93.5563 +Palmetto,30.7177,-91.9082 +Jackson,30.8346,-91.208 +Grant,30.7885,-92.9485 +Donner,29.6958,-90.9443 +Franklinton,30.8479,-90.1459 +Mermentau,30.1874,-92.584 +Point Place,31.6883,-93.0244 +Davant,29.6085,-89.8484 +Talisheek,30.5327,-89.8767 +Tickfaw,30.577,-90.4871 +Woodside,30.8432,-91.8201 +Saint Clair,29.8699,-89.969 +Vinton,30.1957,-93.5818 +Rayne,30.2403,-92.2668 +Lisbon,32.7894,-92.8672 +Terry,32.9296,-91.3487 +Gurley,30.8693,-91.134 +Minden,32.6187,-93.2762 +Bayou Vista,29.6912,-91.2672 +Kenner,30.0109,-90.2549 +Central,30.5593,-91.0368 +Acme,31.2857,-91.8204 +Belle Chasse,29.8472,-90.0069 +Saint Martinville,30.1263,-91.8319 +Stonewall,32.2716,-93.8099 +Archibald,32.349,-91.7773 +Couchwood,32.7588,-93.391 +Kisatchie,31.4157,-93.1743 +Lawtell,30.5127,-92.1832 +Presquille,29.5586,-90.6385 +Meeker,31.0566,-92.3807 +Cecilia,30.3368,-91.8476 +Hathaway,30.3496,-92.6715 +Sorrento,30.1828,-90.8674 +Port Vincent,30.3384,-90.8423 +DeQuincy,30.449,-93.4455 +Basile,30.4855,-92.601 +Logansport,31.9755,-93.9934 +Luling,29.9008,-90.3523 +Avery Island,29.9035,-91.9104 +Marksville,31.1247,-92.0652 +Lake End,31.9216,-93.3049 +Montz,30.0168,-90.4634 +Modeste,30.171,-91.0148 +Carlisle,29.6869,-89.9623 +Rayville,32.4707,-91.7576 +Brownlee,32.5757,-93.7266 +Eunice,30.4904,-92.4191 +Nebo,31.5888,-92.1418 +Fairbanks,32.6443,-92.0365 +Bogalusa,30.7812,-89.8633 +Dry Creek,30.6691,-93.0454 +Fordoche,30.594,-91.6179 +Forest,32.7924,-91.4125 +Plettenberg,30.878,-91.4923 +Temple,31.2782,-92.9554 +Goosport,30.2569,-93.1804 +Clarence,31.8198,-93.029 +Cottonport,30.9892,-92.0509 +Labadieville,29.8247,-90.9525 +Liddieville,32.1357,-91.8457 +Lee Bayou,31.7632,-91.5604 +Heflin,32.4565,-93.2683 +Cotton Valley,32.8135,-93.4228 +Thibodaux,29.7941,-90.8163 +Hessmer,31.0534,-92.1214 +Claiborne,32.5379,-92.1981 +Benson,31.8663,-93.6938 +Flora,31.6124,-93.0977 +Princeton,32.5893,-93.5152 +Vick,31.2302,-92.1057 +Amite,30.7266,-90.509 +Boyce,31.3906,-92.6699 +Fluker,30.8216,-90.5109 +Ethel,30.7913,-91.1307 +Dubberly,32.5413,-93.2373 +Duson,30.2361,-92.1922 +Ringgold,32.3261,-93.2837 +Napoleonville,29.9384,-91.0264 +Church Point,30.4037,-92.2145 +Dixie Inn,32.5969,-93.3314 +Downsville,32.6264,-92.4129 +Bolinger,32.9443,-93.6977 +French Settlement,30.3159,-90.8033 +Saint Joseph,31.9202,-91.2401 +Choctaw,29.8457,-90.7233 +Killian,30.353,-90.5795 +Angie,30.9633,-89.8177 +Hopedale,29.8205,-89.6567 +Eros,32.3926,-92.4239 +Venice,29.2875,-89.3637 +Elba,30.7555,-91.764 +Reserve,30.0741,-90.5557 +Theriot,29.4613,-90.7515 +Prairieville,30.3151,-90.9571 +Wardville,32.8749,-91.9051 +Athens,32.6513,-93.0254 +Carlyss,30.1766,-93.3704 +Plaucheville,30.9647,-91.9837 +Otis,31.2155,-92.7279 +Southdown,29.5869,-90.739 +Moss Bluff,30.3039,-93.2051 +North Vacherie,30.0047,-90.711 +Bains,30.8307,-91.3868 +Plaquemine,30.2834,-91.2429 +Iota,30.326,-92.4956 +Georgetown,31.7598,-92.3821 +Iowa,30.2393,-93.0128 +Jefferson Island,29.9727,-91.9757 +Zimmerman,31.4157,-92.7029 +Ville Platte,30.6901,-92.2744 +Toca,29.8666,-89.8365 +Barataria,29.7092,-90.1217 +Grand Lake,30.0308,-93.2721 +Garden City,29.7655,-91.4657 +Wisner,31.9804,-91.6551 +Amelia,29.6646,-91.1072 +Provencal,31.6547,-93.1999 +Goudeau,30.8719,-92.0143 +DeRidder,30.8467,-93.2931 +Hicks,31.1849,-93.016 +Violet,29.8962,-89.892 +Wakefield,30.8893,-91.3501 +Lockport,29.6418,-90.5376 +Ashland,32.1164,-93.1171 +New Llano,31.097,-93.2767 +Mitchell,31.791,-93.628 +Bastrop,32.7749,-91.9058 +Carmel,32.0874,-93.6207 +Archie,31.5799,-91.9674 +Pelican,31.8824,-93.586 +Neame,30.9746,-93.2818 +Coteau Holmes,30.1299,-91.7262 +Evelyn,31.9879,-93.4432 +Caplis,32.3971,-93.6096 +Alton,30.3307,-89.762 +Perkins,30.3933,-93.4118 +Hornbeck,31.3265,-93.396 +Vacherie,30.011,-90.7195 +Madisonville,30.4006,-90.1656 +Roanoke,30.2356,-92.7481 +Albany,30.5026,-90.5848 +Meraux,29.9284,-89.918 +Convent,30.0132,-90.8232 +Mansfield,32.0355,-93.7004 +Spearsville,32.9339,-92.6022 +Winnsboro,32.165,-91.721 +Chalmette,29.9438,-89.966 +Willow Glen,31.2466,-92.4324 +Branch,30.348,-92.2771 +Deville,31.3398,-92.1389 +Shelburn,32.8843,-91.2257 +Weeks,29.8077,-91.8071 +Cut Off,29.5164,-90.3291 +Vivian,32.8714,-93.9862 +Seymourville,30.2774,-91.2237 +Chestnut,32.0568,-93.0163 +Richwood,32.4486,-92.0774 +Lamourie,31.1319,-92.4118 +Simmesport,30.9805,-91.8143 +Coushatta,32.0256,-93.3406 +Verda,31.6999,-92.7729 +Sondheimer,32.5501,-91.1759 +Harmon,32.066,-93.4305 +Alto,32.3576,-91.8599 +Woodmere,29.8492,-90.0751 +Mamou,30.6349,-92.4179 +Grand Chenier,29.7669,-92.9751 +Fullerton,30.9932,-92.9821 +Sicard,32.5265,-92.0415 +Tannehill,31.9979,-92.6551 +Moreauville,31.0342,-91.9818 +Smoke Bend,30.1085,-91.0204 +Prien,30.1596,-93.2608 +Brusly Landing,30.3877,-91.2373 +Alexandria,31.2923,-92.4702 +Hosston,32.8849,-93.882 +Saint Joe,30.3446,-89.7562 +Broussard,30.1393,-91.9539 +Glenmora,30.9733,-92.5824 +Belmont,31.7182,-93.5082 +Echo,31.1102,-92.2418 +Garyville,30.0688,-90.6284 +McManus,30.8343,-91.1362 +Tioga,31.3871,-92.4257 +Boutte,29.8825,-90.3936 +Elmwood,29.9555,-90.1879 +Rock Hill,31.4427,-92.5695 +Perry,29.9485,-92.1571 +Florien,31.448,-93.4584 +Sligo,32.451,-93.5816 +Sun,30.65,-89.9056 +Greensburg,30.83,-90.6698 +Woodlawn,30.293,-92.9585 +Kinder,30.4835,-92.8508 +Kilbourne,32.9971,-91.3139 +Belcher,32.7521,-93.8371 +Lemannville,30.1028,-90.9239 +East Point,32.1654,-93.4313 +Vienna,32.6093,-92.6481 +Jean Lafitte,29.7496,-90.1036 +Larto,31.3727,-91.9046 +Campti,31.898,-93.1158 +Roseland,30.7646,-90.5114 +Slagle,31.2024,-93.1274 +Sarepta,32.8963,-93.4514 +Libuse,31.3541,-92.3335 +Laurel Hill,30.9535,-91.3404 +Burnside,30.1388,-90.924 +Cade,30.0926,-91.8996 +Antonia,31.5643,-92.4093 +Tangipahoa,30.8758,-90.5138 +Galliano,29.4471,-90.3096 +Spokane,31.713,-91.4453 +Baker,30.5833,-91.1581 +Farmerville,32.7752,-92.4013 +Timberlane,29.8781,-90.0302 +Saint Bernard,29.8672,-89.8587 +Ellendale,29.6322,-90.8093 +Vidrine,30.6927,-92.3982 +Merrydale,30.4998,-91.1081 +Mandeville,30.375,-90.0906 +Red Oak,30.4657,-91.0676 +Caernarvon,29.8638,-89.9065 +Cameron,29.787,-93.2926 +Le Moyen,30.7855,-92.0404 +Saline,32.1631,-92.9768 +Donaldsonville,30.0954,-90.9925 +Deer Range,29.6091,-89.8962 +Wallace,30.0303,-90.6569 +Bertrandville,29.7749,-90.017 +Lacassine,30.2331,-92.9208 +Fryeburg,32.4129,-93.2343 +Larose,29.5669,-90.3751 +Pollock,31.4985,-92.4432 +Ada,32.546,-93.1404 +Creola,31.4301,-92.4829 +Bridge City,29.9321,-90.1594 +Creole,29.7961,-93.1113 +Acy,30.2188,-90.8204 +Estherwood,30.1816,-92.4633 +Ball,31.4188,-92.4084 +Destrehan,29.9625,-90.3676 +Ama,29.944,-90.2967 +Baton Rouge,30.4423,-91.1314 +Urania,31.8639,-92.2913 +Reggio,29.8313,-89.7545 +Lydia,29.9263,-91.7813 +Melville,30.6917,-91.7485 +Columbia,32.1026,-92.077 +Paincourtville,29.9887,-91.0554 +Ida,33.0001,-93.8949 +Warden,32.5376,-91.4971 +Port Sulphur,29.5043,-89.7202 +Singer,30.6511,-93.4117 +Abbeville,29.9751,-92.1265 +Norwood,30.9682,-91.1124 +Indian Village,30.4491,-92.9718 +Woodardville,32.2599,-93.2802 +Little Creek,31.7196,-92.2943 +Rosedale,30.4429,-91.4601 +Taft,29.9854,-90.4533 +Nairn,29.428,-89.6109 +Walker,30.4848,-90.8654 +Weston,32.244,-92.6135 +Tallulah,32.4067,-91.1916 +Morgan City,29.7041,-91.192 +Harrisonburg,31.7681,-91.825 +Jigger,32.0349,-91.7468 +Doyline,32.525,-93.4118 +Laplace,30.0731,-90.4758 +Inniswold,30.3982,-91.071 +Scotlandville,30.5205,-91.1787 +Port Allen,30.4456,-91.2098 +Montegut,29.4656,-90.5617 +Hackberry,29.9717,-93.3947 +Dulac,29.3864,-90.7081 +Jeanerette,29.9157,-91.6758 +Leeville,29.248,-90.2076 +Leesville,31.1394,-93.2743 +Jonesburg,32.5251,-91.7568 +Lake Charles,30.203,-93.215 +Port Hudson,30.6782,-91.2696 +Mittie,30.7069,-92.9068 +Hudson,32.0371,-92.5851 +Kurthwood,31.3374,-93.1657 +Parks,30.2173,-91.8271 +Bawcomville,32.4703,-92.1735 +Parhams,31.4677,-91.7865 +Bayou Gauche,29.8081,-90.421 +East Hodge,32.2776,-92.7141 +Springfield,30.4255,-90.5444 +New Iberia,30.0049,-91.8202 +Negreet,31.4693,-93.5749 +Whitehall,30.2885,-90.7004 +Elm Grove,32.3482,-93.5527 +Converse,31.7795,-93.7001 +Andrew,30.0849,-92.2429 +Lockport Heights,29.6564,-90.5486 +Watson,30.575,-90.9508 +Oak Hills Place,30.369,-91.0887 +Franklin,29.7851,-91.5098 +Hahnville,29.9641,-90.4141 +Berwick,29.7013,-91.2377 +Gardere,30.3582,-91.1345 +Quitman,32.3507,-92.7236 +Milton,30.1122,-92.071 +Hanna,31.9613,-93.3477 +Fields,30.5263,-93.5749 +Joyce,31.9347,-92.585 +Oil City,32.7453,-93.9758 +Glynn,30.6266,-91.3554 +Mathews,29.6822,-90.5559 +Bossier City,32.523,-93.6666 +Kolin,31.2832,-92.3226 +Lewisburg,30.3696,-90.1031 +Simpson,31.2583,-93.0194 +Elizabeth,30.867,-92.7987 +Prospect,31.4488,-92.4969 +Morrow,30.8299,-92.0801 +Butte La Rose,30.2777,-91.6868 +Longstreet,32.0976,-93.9505 +Edna,30.421,-92.8865 +Ninock,32.2468,-93.4571 +Clifton,30.9255,-90.1798 +Mooringsport,32.6832,-93.9607 +Village Saint George,30.3598,-91.0672 +Forked Island,29.8313,-92.3001 +Livingston,30.4953,-90.7467 +Scott,30.2399,-92.0947 +Bell City,30.1133,-92.9627 +Morganza,30.7383,-91.592 +Chambers,31.1785,-92.4137 +Empire,29.4133,-89.6052 +Oakland,32.4682,-93.5096 +Hineston,31.1435,-92.7588 +Chataignier,30.5696,-92.3169 +Dalcour,29.8074,-89.9987 +Toast,36.4967,-80.6347 +Colerain,36.2013,-76.7662 +Banner Elk,36.1588,-81.8678 +Four Oaks,35.4503,-78.4177 +Wanchese,35.8396,-75.6379 +Franklinville,35.7421,-79.6893 +Shelby,35.289,-81.5416 +Castalia,36.0823,-78.0576 +Goldston,35.5929,-79.3284 +Sunbury,36.4469,-76.6127 +Currituck,36.4499,-76.0155 +Pleasant Hill,36.258,-80.8904 +Hoopers Creek,35.4481,-82.4294 +Bailey,35.7806,-78.1129 +Snow Hill,35.4506,-77.6769 +Cricket,36.1687,-81.1932 +Avon,35.3467,-75.5069 +Columbia,35.9202,-76.242 +Saint Helena,34.5166,-77.9174 +Roanoke Rapids,36.4452,-77.649 +Verona,34.6696,-77.4716 +Marvin,34.9889,-80.8033 +Ossipee,36.1679,-79.5137 +Glendon,35.4824,-79.417 +Stem,36.1963,-78.7201 +Pollocksville,35.0056,-77.2213 +Bayshore,34.2893,-77.8025 +Polkville,35.4163,-81.644 +South Rosemary,36.4463,-77.7065 +Edneyville,35.4025,-82.3371 +Oak City,35.9616,-77.304 +Chinquapin,34.831,-77.8164 +Saint Stephens,35.764,-81.2747 +Rhodhiss,35.7684,-81.4312 +Pine Knoll Shores,34.6974,-76.8207 +Erwin,35.3226,-78.6734 +Dillingham,35.7537,-82.4068 +Poplar,36.0726,-82.3432 +Valley Hill,35.2958,-82.4913 +Vass,35.2533,-79.2846 +Jonesville,36.2335,-80.8362 +Lasker,36.3502,-77.3058 +Sims,35.7601,-78.0588 +Pantego,35.5874,-76.6594 +Tobaccoville,36.2256,-80.3591 +Wake Forest,35.9631,-78.5143 +Saxapahaw,35.9489,-79.321 +Mackeys,35.9335,-76.6111 +Buladean,36.1084,-82.1948 +Norlina,36.4451,-78.1952 +Fallston,35.4289,-81.5023 +New Bern,35.0955,-77.0724 +Frisco,35.2331,-75.6289 +Maxton,34.7364,-79.3528 +George,36.3224,-77.2305 +Turkey,34.995,-78.1841 +Riegelwood,34.3444,-78.2198 +Princeville,35.8861,-77.5194 +Pink Hill,35.0563,-77.7436 +Waco,35.3617,-81.4287 +Ansonville,35.1041,-80.1097 +East Rockingham,34.9116,-79.766 +Denver,35.5344,-81.0338 +Dundarrach,34.9247,-79.1575 +Ruffin,36.4428,-79.5433 +Leasburg,36.3946,-79.1545 +Burlington,36.0762,-79.4687 +Northwest,34.3149,-78.1454 +Stoneville,36.4653,-79.9063 +Hamlet,34.889,-79.7098 +Patetown,35.4607,-77.925 +Linville,36.0665,-81.8704 +Trent Woods,35.081,-77.0945 +Lillington,35.4002,-78.8137 +Leggett,35.9897,-77.58 +Efland,36.0806,-79.1718 +Forest Hills,35.2958,-83.1954 +Chimney Rock,35.4503,-82.2549 +Kenansville,34.9596,-77.9661 +Bryson City,35.4262,-83.4475 +Hamilton,35.9443,-77.2067 +Rutherfordton,35.3642,-81.9613 +Sedgefield,36.0149,-79.897 +Bethlehem,35.8162,-81.2962 +Highlands,35.0539,-83.1976 +Spindale,35.3599,-81.9232 +Sugar Mountain,36.127,-81.8649 +Bahama,36.166,-78.8767 +Fort Barnwell,35.2913,-77.335 +Moncure,35.6239,-79.0768 +Silver Lake,34.1408,-77.909 +Wade,35.1639,-78.7371 +Belville,34.2195,-77.9983 +Black Mountain,35.6142,-82.3275 +Altamahaw,36.1868,-79.5051 +Godwin,35.2133,-78.677 +Waynesville,35.4853,-82.9996 +Powellsville,36.2253,-76.9316 +Myrtle Grove,34.123,-77.8834 +Salemburg,35.0153,-78.5029 +Almond,35.3698,-83.5652 +Sandy Ridge,36.499,-80.1042 +Valhalla,36.1371,-76.6577 +Cofield,36.3567,-76.9105 +Castle Hayne,34.3583,-77.9114 +South Weldon,36.4135,-77.6024 +Avery Creek,35.4651,-82.5719 +Ingold,34.8312,-78.3497 +Magnolia,34.8971,-78.0531 +Mount Pleasant,35.3752,-80.4496 +Lansing,36.4989,-81.5098 +Warrensville,36.4607,-81.519 +Providence,36.5051,-79.3703 +Swansboro,34.6957,-77.1357 +Fountain,35.672,-77.6308 +Murraysville,34.2919,-77.8429 +Pisgah Forest,35.2543,-82.7001 +Middleburg,36.399,-78.3235 +Pinebluff,35.1088,-79.4713 +Pikeville,35.4972,-77.9877 +Davidson,35.4862,-80.8271 +Ivanhoe,34.587,-78.2447 +Columbus,35.266,-82.1985 +Wagram,34.8891,-79.3652 +Mount Holly,35.3115,-81.01 +Butters,34.5603,-78.8489 +Mountain View,35.6828,-81.3683 +Forest City,35.3339,-81.8702 +Engelhard,35.5092,-76.0096 +Swanquarter,35.4109,-76.3251 +Hobgood,36.0267,-77.394 +Kitty Hawk,36.0717,-75.7184 +Hurdle Mills,36.2732,-79.0475 +Elizabeth City,36.2943,-76.236 +Orrum,34.4667,-79.0089 +Edenton,36.058,-76.6008 +Roaring Gap,36.4029,-80.9854 +Foscoe,36.1535,-81.7737 +Montreat,35.6478,-82.3001 +Chocowinity,35.5148,-77.1017 +West Jefferson,36.3948,-81.4897 +Merrimon,34.9493,-76.6394 +Roxboro,36.3905,-78.9811 +Ernul,35.2527,-77.0797 +Vander,35.0347,-78.7887 +Beech Mountain,36.2105,-81.8876 +Seven Devils,36.1498,-81.8115 +High Shoals,35.3957,-81.2048 +Millingport,35.3763,-80.3113 +Misenheimer,35.4819,-80.2869 +Maggie Valley,35.5239,-83.0644 +Cooleemee,35.8126,-80.5561 +Stovall,36.4475,-78.5689 +Weddington,35.0227,-80.7383 +Aulander,36.228,-77.1136 +Bath,35.4702,-76.8119 +Elm City,35.8086,-77.8622 +Oak Ridge,36.1738,-79.992 +Wesley Chapel,34.9984,-80.6906 +McLeansville,36.1045,-79.6554 +Halifax,36.3255,-77.5901 +Zebulon,35.8312,-78.3184 +Lucama,35.6446,-78.0072 +Longhurst,36.4251,-78.967 +West Canton,35.5384,-82.8671 +Denton,35.6367,-80.1109 +Sandyfield,34.3743,-78.2996 +Manns Harbor,35.8934,-75.7733 +Pike Road,35.6829,-76.6274 +Cove City,35.189,-77.3206 +Williamston,35.847,-77.0659 +Topton,35.247,-83.7032 +Bermuda Run,36.0032,-80.431 +Neuse,35.8974,-78.5692 +Balfour,35.3494,-82.4824 +Buxton,35.2608,-75.5392 +Old Hundred,34.8245,-79.5922 +Granite Quarry,35.6126,-80.4484 +East Flat Rock,35.2802,-82.4171 +Rich Square,36.2739,-77.2839 +Haywood,35.6202,-79.0639 +James City,35.0592,-77.02 +Laurinburg,34.7596,-79.4781 +Red Oak,36.0415,-77.9065 +Seven Springs,35.2248,-77.8454 +Hampstead,34.3627,-77.7318 +Blowing Rock,36.1291,-81.6713 +Swannanoa,35.6008,-82.3917 +Ellerbe,35.0718,-79.7596 +Clayton,35.6595,-78.4505 +Youngsville,36.0246,-78.4805 +Iron Station,35.4515,-81.1568 +Ocracoke,35.1264,-75.9212 +Falcon,35.1937,-78.6489 +Winton,36.3899,-76.9349 +Sunset Beach,33.8921,-78.5104 +McFarlan,34.8148,-79.9766 +Otway,34.7757,-76.558 +Cameron,35.3259,-79.254 +Aquadale,35.2244,-80.2235 +Summerfield,36.1973,-79.8999 +Valle Crucis,36.2074,-81.786 +Grimesland,35.5686,-77.2024 +Dillsboro,35.3706,-83.2526 +Vann Crossroads,35.1697,-78.4026 +Sophia,35.8232,-79.8609 +Whiteville,34.3306,-78.7014 +Lowesville,35.4193,-80.9999 +Stanfield,35.2336,-80.4303 +Dobson,36.3921,-80.7252 +Kelly,34.4639,-78.3109 +King,36.2767,-80.356 +Marshallberg,34.7266,-76.5149 +Saint James,33.9455,-78.1127 +Salisbury,35.6657,-80.491 +Enka,35.5498,-82.6501 +Monroe,35.0061,-80.5593 +Pinehurst,35.1922,-79.4682 +Harrells,34.7279,-78.2015 +Stony Point,35.8669,-81.047 +Sharpsburg,35.8663,-77.8306 +Marshall,35.7974,-82.6819 +Brightwood,36.1329,-79.7595 +South Henderson,36.3035,-78.4053 +Roper,35.8786,-76.617 +Plain View,35.2457,-78.5634 +Albemarle,35.3601,-80.1919 +Crossnore,36.0222,-81.9307 +Oriental,35.0356,-76.6815 +Dixon,34.586,-77.48 +Delco,34.3188,-78.2267 +Belfast,35.4271,-77.9819 +Light Oak,35.2867,-81.4775 +Bolivia,34.0699,-78.1472 +Smithfield,35.5139,-78.3495 +Trinity,35.8756,-80.0093 +Whitnel,35.8882,-81.5234 +Caroleen,35.2811,-81.7914 +Mill Spring,35.2976,-82.1612 +Gerton,35.4758,-82.3504 +Conover,35.7156,-81.2169 +Bowmore,34.9358,-79.2999 +Carthage,35.3223,-79.4117 +Alexander Mills,35.3107,-81.8587 +Severn,36.5142,-77.1893 +Midway,35.975,-80.2201 +Cherokee,35.486,-83.3011 +Marietta,34.3682,-79.1249 +Franklinton,36.1011,-78.4522 +Winterville,35.5288,-77.3994 +Calabash,33.8945,-78.5571 +Pine Hall,36.3246,-80.0495 +Stokes,35.7105,-77.2676 +Hickory,35.7427,-81.3233 +Charlotte,35.2079,-80.8303 +Bald Creek,35.9121,-82.4226 +Walstonburg,35.596,-77.6981 +Indian Beach,34.6881,-76.8883 +Lake Waccamaw,34.314,-78.5116 +Eureka,35.5414,-77.8763 +Mint Hill,35.1781,-80.6533 +Coats,35.4069,-78.6686 +Glenville,35.1718,-83.1273 +Webster,35.35,-83.2188 +Rodanthe,35.59,-75.4659 +Rowland,34.5362,-79.2928 +Bell Arthur,35.5911,-77.5127 +Stedman,35.0131,-78.7027 +Newton,35.663,-81.2333 +Bonlee,35.646,-79.4145 +White Oak,34.7396,-78.7186 +Rolesville,35.9251,-78.4664 +Lauada,35.3729,-83.504 +Robersonville,35.8248,-77.2529 +Cerro Gordo,34.3225,-78.9288 +Fruitland,35.3928,-82.412 +Landis,35.5484,-80.6115 +Cullowhee,35.3107,-83.1815 +Elroy,35.3308,-77.9226 +Wilsons Mills,35.5845,-78.3594 +Archer Lodge,35.691,-78.3744 +Sealevel,34.8624,-76.3877 +Liberty,35.8556,-79.5682 +Dellview,35.3865,-81.4127 +Jefferson,36.4208,-81.4687 +Harmony,35.9592,-80.7735 +Love Valley,35.9873,-80.9835 +Jamestown,35.9985,-79.9354 +Deep Gap,36.2371,-81.5123 +Elrod,34.6072,-79.2307 +Evergreen,34.4149,-78.9114 +Poplar Branch,36.2802,-75.8927 +Weldon,36.421,-77.6135 +Claremont,35.7101,-81.1533 +Welcome,35.9066,-80.2548 +Raeford,34.9808,-79.2287 +Grifton,35.3803,-77.4333 +Boiling Springs,35.2521,-81.6636 +Stantonsburg,35.6056,-77.82 +Hot Springs,35.892,-82.829 +Marion,35.6777,-82.0017 +Troutman,35.6884,-80.8852 +Pineville,35.0864,-80.8915 +Stokesdale,36.2316,-79.9834 +Barker Ten Mile,34.6826,-78.9889 +Yadkinville,36.1309,-80.6598 +Bynum,35.774,-79.1422 +Enon,36.1399,-80.4689 +Jarvisburg,36.2029,-75.8666 +Rutherford College,35.7507,-81.5269 +Center Hill,36.2152,-76.6108 +Hollister,36.2593,-77.9363 +Belvoir,35.7111,-77.47 +Tabor City,34.1539,-78.8739 +Norman,35.1698,-79.7231 +Kenly,35.5879,-78.1372 +Atlantic Beach,34.701,-76.7406 +Clinton,35.0005,-78.3312 +Badin,35.4072,-80.1184 +Spear,36.0223,-82.0237 +Rose Hill,34.8263,-78.0259 +Thomasville,35.8813,-80.0807 +Julian,35.9051,-79.6603 +Butner,36.1285,-78.7502 +Windsor,35.9928,-76.9399 +Jerome,34.8427,-78.7339 +Elon,36.101,-79.5081 +Nags Head,35.9474,-75.6274 +Longview,35.7216,-81.3858 +Raleigh,35.8323,-78.6439 +Derita,35.2938,-80.7976 +Sanford,35.4822,-79.1773 +Selma,35.5435,-78.2953 +Carolina Beach,34.0396,-77.8966 +Varnamtown,33.9432,-78.2361 +Burgaw,34.5507,-77.9224 +Alarka,35.3532,-83.4454 +Bunn,35.9591,-78.2519 +Asheboro,35.7158,-79.8128 +Celo,35.8551,-82.1979 +Five Points,35.0154,-79.3513 +Bethesda,35.9424,-78.8383 +Jaars,34.8622,-80.7489 +Randleman,35.8165,-79.8067 +Hoffman,35.0313,-79.5491 +Holly Springs,35.6542,-78.8402 +Micaville,35.9096,-82.2132 +Eastover,35.0959,-78.7862 +West End,35.2399,-79.5675 +China Grove,35.5718,-80.579 +Matthews,35.1195,-80.7101 +Cedar Rock,35.9436,-81.458 +Cove Creek,36.2763,-81.783 +Laurel Park,35.3118,-82.5039 +Wakulla,34.797,-79.256 +Henrietta,35.2569,-81.8012 +Calypso,35.1548,-78.1045 +Havelock,34.9078,-76.8985 +Mesic,35.2034,-76.645 +Glen Alpine,35.7308,-81.7826 +Manteo,35.9013,-75.6611 +River Bend,35.0717,-77.1503 +Seaboard,36.4907,-77.442 +Locust,35.2687,-80.4368 +Woodfin,35.6458,-82.5914 +Scotland Neck,36.1308,-77.4214 +Pilot Mountain,36.3859,-80.4731 +Rural Hall,36.2251,-80.2973 +Wallburg,36.0088,-80.1453 +Bolton,34.3174,-78.3977 +Flat Rock,35.2678,-82.4526 +Hatteras,35.2173,-75.6873 +Rocky Mount,35.9676,-77.8047 +Concord,35.3933,-80.636 +Tryon,35.2086,-82.2379 +Kill Devil Hills,36.0167,-75.6699 +Rockfish,34.9902,-79.0694 +Coleridge,35.6401,-79.6153 +Bent Creek,35.5081,-82.6176 +Hendersonville,35.324,-82.4578 +Fletcher,35.4316,-82.504 +Duck,36.1836,-75.7559 +Carolina Shores,33.9077,-78.5738 +Newton Grove,35.2522,-78.3552 +Valdese,35.7565,-81.5632 +Wilkesboro,36.1418,-81.1727 +Lawndale,35.4142,-81.563 +Crowders,35.1862,-81.2065 +Farmington,36.0157,-80.5323 +Mount Gilead,35.2163,-80.0049 +New Hope,35.376,-77.883 +Angier,35.5105,-78.7387 +Raynham,34.576,-79.1908 +Holly Ridge,34.4953,-77.5267 +Belhaven,35.5428,-76.6232 +Hazelwood,35.4687,-83.004 +Boardman,34.4365,-78.9468 +Garysburg,36.4479,-77.5603 +Barker Heights,35.3103,-82.4411 +Fairmont,34.4946,-79.1136 +Staley,35.7979,-79.5518 +Glendale Springs,36.3451,-81.3804 +Hallsboro,34.3189,-78.5934 +Rockwell,35.5538,-80.4072 +Price,36.539,-79.9148 +Murphy,35.093,-84.0279 +Southern Shores,36.1205,-75.7327 +Addie,35.4059,-83.1599 +Fremont,35.5436,-77.9751 +Raemon,34.6229,-79.3491 +Sylva,35.3754,-83.2185 +Drexel,35.7569,-81.6089 +Tramway,35.4446,-79.2145 +Mebane,36.0879,-79.2751 +Fairplains,36.1954,-81.1559 +Mooresboro,35.2992,-81.6986 +Lilesville,34.9675,-79.9845 +Black Creek,35.6365,-77.9331 +West Smithfield,35.5271,-78.3553 +Wise,36.4865,-78.1708 +Stumpy Point,35.6985,-75.7405 +Ogden,34.2656,-77.7965 +Bonnetsville,34.9993,-78.3962 +Lewiston Woodville,36.1141,-77.1811 +Autryville,34.9966,-78.6412 +Boone,36.2111,-81.6669 +Caswell Beach,33.9074,-78.0472 +Germanton,36.2587,-80.236 +Kannapolis,35.4764,-80.6404 +Sedalia,36.076,-79.6208 +Leland,34.204,-78.028 +Luck,35.7359,-82.8663 +Peachland,34.9931,-80.266 +Vanceboro,35.3031,-77.1567 +Salvo,35.549,-75.4689 +Goldsboro,35.3777,-77.972 +Chapel Hill,35.9269,-79.039 +Cajahs Mountain,35.8507,-81.5361 +Wadesboro,34.9645,-80.0746 +Glenwood,35.6146,-81.982 +Maysville,34.907,-77.2324 +Speed,35.9684,-77.4444 +Cape Carteret,34.6973,-77.0572 +Hickory Grove,35.2288,-80.7206 +Chadbourn,34.3247,-78.825 +New London,35.4346,-80.2198 +Connelly Springs,35.7551,-81.4971 +Burnsville,35.9164,-82.2974 +Wilson,35.731,-77.9283 +Biscoe,35.3594,-79.7825 +Pamlico Beach,35.3927,-76.6005 +Taylortown,35.2146,-79.4915 +Collettsville,35.9257,-81.6745 +Cramerton,35.2344,-81.0735 +Southport,33.941,-78.0203 +Fairfield Harbour,35.0706,-76.9571 +Henderson,36.3259,-78.4155 +Creswell,35.8743,-76.4033 +Dunn,35.3113,-78.6129 +Forest Oaks,35.9889,-79.7079 +Foxfire,35.179,-79.5639 +Bladenboro,34.5406,-78.7949 +Olivia,35.3596,-79.1097 +Yadkin Valley,36.0224,-81.4901 +Kings Grant,34.2665,-77.8659 +Whittier,35.4351,-83.3602 +Pembroke,34.6766,-79.1934 +Culberson,34.9917,-84.1677 +Broad Creek,34.7304,-76.9241 +Dublin,34.6562,-78.7231 +Lexington,35.8017,-80.2682 +Stanleyville,36.2024,-80.2809 +Yanceyville,36.4111,-79.3401 +Newport,34.771,-76.877 +Icard,35.7253,-81.4582 +Paw Creek,35.2749,-80.9384 +Gloucester,34.7292,-76.539 +Alliance,35.1435,-76.8084 +Alamance,36.0283,-79.4894 +Maury,35.4792,-77.5902 +Washington,35.5587,-77.0546 +Newland,36.0881,-81.9274 +Winfall,36.2111,-76.4554 +Warrenton,36.3995,-78.1574 +Greenevers,34.8271,-77.9246 +Rex,34.8507,-79.0469 +Jupiter,35.7609,-82.5935 +Robbinsville,35.3236,-83.807 +Knightdale,35.7918,-78.4964 +Dortches,36.0113,-77.8567 +Broadway,35.458,-79.0547 +White Plains,36.4451,-80.6351 +Boger City,35.4807,-81.2134 +Camden,36.325,-76.17 +Pelham,36.5101,-79.4717 +Whitakers,36.1057,-77.713 +Jackson,36.3901,-77.4193 +Sparta,36.5035,-81.1218 +Clarkton,34.4889,-78.6559 +Brevard,35.2438,-82.7264 +Brogden,35.2961,-78.025 +State Road,36.326,-80.8676 +Fontana Village,35.4356,-83.8191 +Mount Airy,36.5083,-80.6157 +McAdenville,35.2652,-81.0805 +Linden,35.2546,-78.7484 +Enochville,35.5205,-80.6646 +Brunswick,34.2921,-78.706 +Taylorsville,35.9175,-81.1756 +Brookford,35.7031,-81.3453 +Farmville,35.5954,-77.5912 +Bakersville,36.0153,-82.1584 +Aurora,35.303,-76.7889 +Hobucken,35.2544,-76.5712 +Coinjock,36.3513,-75.9527 +Moyock,36.5165,-76.1728 +Creedmoor,36.1222,-78.6777 +Beaufort,34.7311,-76.6491 +Shiloh,36.2732,-76.0852 +Rockford,36.2685,-80.6487 +Hays,36.2469,-81.1142 +Pinnacle,36.323,-80.4241 +Kittrell,36.2218,-78.4413 +Gibsonville,36.0989,-79.5421 +Stonewall,35.1371,-76.7405 +Statesville,35.7838,-80.8711 +Seagrove,35.5399,-79.7793 +Candor,35.2964,-79.7323 +West Marion,35.6525,-82.0191 +Lake Park,35.0848,-80.6349 +Askewville,36.1116,-76.9412 +Dana,35.3239,-82.3722 +Emerald Isle,34.6648,-77.0293 +Bridgeton,35.1348,-77.0158 +Buies Creek,35.4127,-78.7363 +McDonald,34.5537,-79.1764 +Sugar Grove,36.2579,-81.7882 +Salter Path,34.6885,-76.8861 +Whispering Pines,35.2538,-79.3754 +Laboratory,35.4343,-81.2601 +McGrady,36.3435,-81.2248 +Cornelius,35.4733,-80.8833 +Aberdeen,35.1351,-79.432 +Harkers Island,34.7002,-76.5612 +Vaughan,36.4265,-78.0036 +La Grange,35.3065,-77.7889 +Pine Level,35.5038,-78.2501 +Roxobel,36.2015,-77.2398 +Boiling Spring Lakes,34.0322,-78.068 +Lenoir,35.9096,-81.5247 +Mills River,35.3853,-82.5854 +Spiveys Corner,35.1982,-78.4826 +Skippers Corner,34.3292,-77.9141 +Ledbetter,34.9882,-79.7178 +Ledger,35.9643,-82.1296 +Clyde,35.533,-82.9107 +Crouse,35.421,-81.3054 +Lake Toxaway,35.1323,-82.934 +Wentworth,36.3914,-79.751 +Bethel,35.8072,-77.3762 +Cary,35.7814,-78.8167 +Mayodan,36.4209,-79.9677 +Gibson,34.7595,-79.6068 +Saluda,35.2375,-82.3469 +Shallotte,33.9754,-78.3807 +Robbins,35.4305,-79.5835 +East Bend,36.2167,-80.5087 +Spencer,35.6988,-80.4249 +Littleton,36.4343,-77.9109 +Neuse Forest,34.966,-76.94 +Hiwassee,35.1642,-84.2541 +North Topsail Beach,34.4931,-77.4338 +Louisburg,36.0979,-78.301 +Cedar Mountain,35.1434,-82.6429 +Benson,35.3859,-78.5437 +Peletier,34.7267,-77.0757 +Stallings,35.1079,-80.6608 +Princeton,35.4668,-78.1606 +Walnut Cove,36.2943,-80.1407 +Horse Shoe,35.3423,-82.5568 +Half Moon,34.8298,-77.4592 +Roseboro,34.9536,-78.5121 +Fair Bluff,34.3126,-79.0333 +Tar Heel,34.7332,-78.7903 +Elk Park,36.1582,-81.9808 +Wrightsboro,34.2895,-77.9217 +Fayetteville,35.0846,-78.9776 +Ashley Heights,35.09,-79.3739 +Centerville,36.1853,-78.1089 +Wendell,35.7823,-78.396 +Green Level,36.1232,-79.3461 +Northlakes,35.7755,-81.3669 +Wallace,34.7378,-77.9909 +Brasstown,35.0395,-83.9568 +Conway,36.4371,-77.2288 +Tuxedo,35.2254,-82.4296 +East Arcadia,34.3816,-78.3232 +Garner,35.6948,-78.6213 +Battleboro,36.049,-77.7491 +Salem,35.6997,-81.7003 +Scaly Mountain,35.0118,-83.3163 +Cliffside,35.248,-81.7653 +Cleveland,35.7323,-80.6825 +Wingate,34.9855,-80.4496 +Palmyra,36.0713,-77.3411 +Shannon,34.8477,-79.1395 +Lattimore,35.3153,-81.6602 +Parmele,35.819,-77.3146 +Bogue,34.6981,-77.031 +Middlesex,35.7893,-78.2047 +Cumberland,35.0049,-78.9673 +Kinston,35.2748,-77.5937 +Piney Green,34.7501,-77.3211 +Spring Hope,35.9441,-78.109 +Morganton,35.7407,-81.7002 +Atkinson,34.5275,-78.1697 +Cordova,34.9103,-79.812 +Ramseur,35.7372,-79.6542 +Southern Pines,35.1921,-79.4043 +Lowell,35.2689,-81.1013 +Potters Hill,34.9645,-77.6983 +Sandy Creek,34.2812,-78.1529 +Bald Head Island,33.866,-77.9864 +Nashville,35.9692,-77.9553 +Red Springs,34.8046,-79.1822 +Harrisburg,35.3128,-80.6492 +Fairview,35.1546,-80.5345 +Topsail Beach,34.3744,-77.6322 +Waves,35.5678,-75.4669 +Oxford,36.3155,-78.5848 +Minnesott Beach,34.9858,-76.8239 +River Road,35.5107,-76.9898 +Beulaville,34.9227,-77.7726 +Faith,35.5901,-80.4581 +Gastonia,35.2494,-81.1855 +Old Fort,35.6305,-82.1777 +Sea Breeze,34.0698,-77.8965 +Hemby Bridge,35.1058,-80.6258 +Mountain Home,35.3708,-82.5021 +Brices Creek,35.0505,-77.0845 +Belwood,35.4794,-81.5227 +Reidsville,36.338,-79.6726 +Grover,35.1735,-81.452 +South Wadesboro,34.9563,-80.0773 +Bonnie Doone,35.0952,-78.9556 +Delway,34.8103,-78.2169 +Mamers,35.416,-78.939 +Kilkenny,35.6363,-76.2158 +Weeksville,36.2054,-76.1477 +Gates,36.5035,-76.7691 +Weaverville,35.6962,-82.5581 +Bayboro,35.1474,-76.7692 +Point Harbor,36.0788,-75.7946 +Graham,36.0597,-79.3899 +Bellemont,36.0257,-79.4431 +Unionville,35.0745,-80.5201 +Pinetops,35.7912,-77.6378 +Mount Olive,35.1997,-78.0663 +Gorman,36.0418,-78.8092 +North Wilkesboro,36.1729,-81.1391 +Lake Santeetlah,35.3636,-83.8664 +Pumpkin Center,34.7861,-77.3649 +Southmont,35.6536,-80.2702 +Fearrington Village,35.7996,-79.0818 +Fuquay-Varina,35.596,-78.7802 +South Gastonia,35.2193,-81.2056 +Barco,36.3918,-75.9796 +Kingstown,35.3621,-81.62 +Haw River,36.0929,-79.3616 +Woodland,36.3306,-77.2148 +Lumberton,34.6309,-79.0182 +Abbottsburg,34.5171,-78.725 +Indian Trail,35.0699,-80.6453 +Whitsett,36.0784,-79.5721 +Enfield,36.1802,-77.6678 +Tyro,35.7997,-80.3765 +Woodleaf,35.769,-80.5909 +Catawba,35.7067,-81.066 +Cashiers,35.1116,-83.0976 +Timberlake,36.2863,-78.9525 +Archdale,35.9036,-79.9595 +Teachey,34.769,-78.0093 +Parkton,34.9028,-79.0098 +Grandy,36.2421,-75.8791 +Sneads Ferry,34.5564,-77.3823 +Spruce Pine,35.914,-82.0699 +Cherryville,35.3844,-81.3781 +Winston-Salem,36.1029,-80.261 +Micro,35.5629,-78.204 +Hightsville,34.2667,-77.9342 +Lumber Bridge,34.8899,-79.0724 +Bannertown,36.4857,-80.5901 +Canton,35.5516,-82.8406 +Walnut Creek,35.305,-77.8714 +Waxhaw,34.9362,-80.7431 +Belmont,35.2219,-81.0403 +Troy,35.3652,-79.8914 +Durham,35.9797,-78.9037 +Laxon,36.2354,-81.5462 +Skyland,35.4893,-82.5243 +Gulf,35.5597,-79.2807 +Rocky Point,34.4441,-77.8909 +Hookerton,35.423,-77.5895 +Grantsboro,35.1448,-76.8447 +Woodlawn,35.7854,-82.0404 +Walnut,35.8495,-82.7388 +Hillsborough,36.068,-79.0993 +White Lake,34.6421,-78.497 +Hassell,35.9084,-77.2762 +Clemmons,36.0318,-80.3861 +Rennert,34.8141,-79.0792 +Murfreesboro,36.4421,-77.0965 +Richlands,34.9004,-77.5421 +Hiddenite,35.9054,-81.0859 +Winnabow,34.1493,-78.0936 +Cedar Point,34.6862,-77.0833 +Freeland,34.1071,-78.5372 +Laurel Hill,34.8102,-79.546 +Lake Junaluska,35.5305,-82.975 +East Lake,35.8913,-75.9627 +Granite Falls,35.7965,-81.4233 +Earl,35.1954,-81.534 +Mars Hill,35.8281,-82.5485 +Gamewell,35.8637,-81.5979 +Washington Park,35.5328,-77.0316 +Eden,36.5029,-79.7421 +Mooresville,35.5851,-80.8264 +Morrisville,35.8366,-78.8349 +Ellenboro,35.3309,-81.7612 +High Point,35.9902,-79.9938 +Hope Mills,34.9696,-78.9581 +Tarboro,35.9045,-77.5563 +Stanley,35.3553,-81.0939 +Davis,34.7996,-76.4641 +Star,35.3992,-79.7832 +Hildebran,35.7181,-81.4211 +Macon,36.4396,-78.0839 +South Mills,36.4379,-76.3308 +Madison,36.3868,-79.975 +Gaston,36.4965,-77.6448 +Danbury,36.4113,-80.2122 +Saratoga,35.6536,-77.7756 +Walkertown,36.1574,-80.1645 +Ranlo,35.2888,-81.1293 +Lowland,35.2991,-76.5644 +Spring Lake,35.1841,-78.9962 +Saint Pauls,34.8086,-78.9749 +Harrellsville,36.3016,-76.7919 +Huntersville,35.4057,-80.873 +Currie,34.4627,-78.1011 +Faison,35.1165,-78.1368 +Seven Lakes,35.2647,-79.5865 +Elizabethtown,34.6239,-78.6097 +Knotts Island,36.5135,-75.9191 +Red Cross,35.2659,-80.3623 +Spencer Mountain,35.3073,-81.1101 +Watha,34.6516,-77.9585 +Ronda,36.2217,-80.9432 +Midland,35.2451,-80.5212 +Dallas,35.3167,-81.1827 +Hertford,36.1813,-76.4673 +Conetoe,35.8173,-77.4574 +Boonville,36.2338,-80.7097 +Glen Raven,36.1247,-79.4649 +Greenville,35.5957,-77.3764 +Fairfield,35.5471,-76.2261 +Jamesville,35.8121,-76.9002 +Momeyer,35.9592,-78.0511 +Polkton,35.003,-80.1963 +Dobbins Heights,34.9069,-79.6933 +Ruth,35.3824,-81.9448 +Lowgap,36.5233,-80.8671 +Ayden,35.4693,-77.4167 +Richfield,35.4703,-80.2575 +Moravian Falls,36.1069,-81.1808 +Maiden,35.5853,-81.2202 +Royal Pines,35.4783,-82.5038 +Asheville,35.5706,-82.5537 +Ocean Isle Beach,33.9011,-78.4394 +Marble,35.1771,-83.9265 +Swepsonville,36.0285,-79.3549 +Oakboro,35.2283,-80.334 +East Spencer,35.6821,-80.4275 +Como,36.501,-77.0073 +Casar,35.5127,-81.6168 +Macclesfield,35.7523,-77.6703 +Biltmore Forest,35.5348,-82.5403 +Maple Hill,34.6613,-77.6964 +East Laurinburg,34.7691,-79.445 +Patterson Springs,35.233,-81.5162 +Norwood,35.2338,-80.1143 +Trenton,35.064,-77.3553 +Willard,34.6902,-77.9797 +Corolla,36.3813,-75.833 +Marshville,34.9866,-80.3685 +Sawmills,35.8162,-81.4779 +Franklin,35.18,-83.381 +Bayview,35.4414,-76.7928 +Wrightsville Beach,34.213,-77.798 +Etowah,35.3061,-82.5902 +Greensboro,36.0956,-79.8269 +Morven,34.8643,-80 +Rougemont,36.2208,-78.9206 +Bostic,35.3624,-81.836 +Holden Beach,33.912,-78.3182 +Roberta Mill,35.3574,-80.6359 +Millers Creek,36.1909,-81.2355 +Everetts,35.8347,-77.1723 +Bennett,35.5664,-79.54 +Navassa,34.283,-78.029 +Silver City,34.9972,-79.2291 +Falkland,35.6985,-77.5132 +Westport,35.5103,-80.9784 +Pleasant Garden,35.9595,-79.7598 +Florence,35.1443,-76.631 +Townsville,36.4946,-78.4236 +Morehead City,34.7307,-76.7383 +Apex,35.7248,-78.8659 +Hudson,35.8475,-81.4864 +Kernersville,36.1066,-80.0847 +Vandemere,35.1886,-76.6651 +Rockingham,34.9386,-79.7609 +Pittsboro,35.7258,-79.1733 +Cruso,35.4176,-82.8107 +Ahoskie,36.2842,-76.9898 +Gatesville,36.4072,-76.7566 +Lake Lure,35.4402,-82.2063 +Kings Mountain,35.2348,-81.3501 +Shawboro,36.4054,-76.0941 +Garland,34.7859,-78.3947 +Buie,34.7366,-79.1448 +Pinetown,35.611,-76.8558 +Lewisville,36.1029,-80.4167 +Mulberry,36.2257,-81.1653 +Mineral Springs,34.9413,-80.6842 +Atlantic,34.8823,-76.344 +Andrews,35.1996,-83.8257 +Oak Island,33.9434,-78.1366 +Arapahoe,35.0216,-76.826 +Bunnlevel,35.31,-78.7725 +Jacksonville,34.7323,-77.3962 +Midway Park,34.726,-77.3413 +Milton,36.5372,-79.2081 +Siler City,35.7252,-79.4558 +Advance,35.9468,-80.4045 +Carrboro,35.9259,-79.0876 +Wilmington,34.21,-77.886 +Hillsdale,36.0051,-80.4395 +Surf City,34.4339,-77.5641 +Plymouth,35.8588,-76.7487 +Longwood,34.0035,-78.5422 +Grandfather,36.0987,-81.8482 +Proctorville,34.4751,-79.037 +Simpson,35.5752,-77.2789 +Dover,35.2155,-77.4337 +Prospect,34.7358,-79.2251 +Mocksville,35.9003,-80.5621 +Rosman,35.1458,-82.8201 +Elkin,36.262,-80.8442 +Mar-Mac,35.3345,-78.0545 +Hayesville,35.0463,-83.8181 +Kure Beach,34.0004,-77.9076 +Kelford,36.1813,-77.2243 +High Rock,35.5968,-80.2212 +Balsam,35.4268,-83.0851 +Bear Grass,35.766,-77.1291 +Colon,35.5268,-79.1522 +Lincolnton,35.4747,-81.2385 +Keener,35.1131,-78.3094 +Bethania,36.1808,-80.3376 +Bessemer City,35.2841,-81.2843 +Warsaw,34.9987,-78.0925 +Frontier,46.8002,-96.8332 +Pisek,48.3107,-97.7105 +Leal,47.1049,-98.3155 +Cooperstown,47.445,-98.1257 +Selz,47.8595,-99.8935 +Lark,46.4531,-101.3963 +Antler,48.9713,-101.2832 +Mooreton,46.2688,-96.8757 +Dodge,47.3057,-102.2029 +New Rockford,47.6798,-99.1377 +Walum,47.2697,-98.1945 +Buford,47.9986,-103.9913 +Burt,46.3653,-102.1552 +Lansford,48.627,-101.376 +Saint Thomas,48.6192,-97.4471 +Hampden,48.5396,-98.6544 +Roseglen,47.7514,-101.8363 +Scranton,46.1495,-103.143 +Noonan,48.8899,-103.0099 +Calvin,48.8518,-98.938 +Emerado,47.9241,-97.3655 +Cando,48.4872,-99.2026 +Galesburg,47.2701,-97.4087 +Wellsburg,47.8317,-99.7615 +Knox,48.3439,-99.6912 +Dickey,46.5368,-98.4681 +Gascoyne,46.119,-103.0788 +Oakes,46.1399,-98.0871 +Kathryn,46.6812,-97.9704 +Manning,47.2309,-102.7704 +Briarwood,46.787,-96.7949 +Powers Lake,48.5637,-102.6452 +Gilby,48.0837,-97.4675 +Wilton,47.1581,-100.7842 +Lakota,48.0429,-98.3468 +Minot,48.2374,-101.278 +Streeter,46.6576,-99.3568 +Arnegard,47.8084,-103.4388 +Tolley,48.7309,-101.8273 +Brooktree Park,47.0039,-96.8959 +Flaxton,48.8974,-102.3933 +Amidon,46.4823,-103.3194 +Grassy Butte,47.3925,-103.248 +Hamilton,48.808,-97.4518 +Butte,47.837,-100.6658 +Barlow,47.5697,-99.1379 +Porcupine,46.2218,-101.0999 +Ruso,47.8373,-100.9343 +Berwick,48.3611,-100.2465 +Arthur,47.1043,-97.2184 +Sykeston,47.4661,-99.3994 +Ruthville,48.3708,-101.3003 +Verona,46.3661,-98.0712 +Blanchard,47.3431,-97.2229 +McLeod,46.3887,-97.2987 +Strasburg,46.1337,-100.161 +Southam,48.1583,-98.5521 +Almont,46.7283,-101.5026 +Baldwin,47.0267,-100.7496 +Bottineau,48.8251,-100.4445 +Forest River,48.2166,-97.4703 +Makoti,47.9633,-101.803 +Harvey,47.7766,-99.9301 +Cannon Ball,46.3173,-100.6358 +Wales,48.8952,-98.6008 +New Salem,46.8432,-101.4178 +Mandaree,47.7358,-102.6755 +Columbus,48.905,-102.7812 +Fairdale,48.49,-98.2312 +Denhoff,47.4786,-100.2592 +Guthrie,48.0011,-100.3774 +Hurdsfield,47.4468,-99.931 +Northwood,47.7384,-97.5707 +Bismarck,46.814,-100.7695 +Pingree,47.1638,-98.9086 +Carrington,47.451,-99.1301 +York,48.3132,-99.5733 +Christine,46.5751,-96.8068 +Olga,48.7983,-98.0379 +Omemee,48.7064,-100.3551 +Cogswell,46.107,-97.7842 +Nash,48.4778,-97.5245 +Mekinock,48.0128,-97.3634 +Fredonia,46.3292,-99.0958 +Steele,46.8561,-99.9177 +Hannaford,47.3143,-98.1889 +Forbes,45.9425,-98.782 +Alsen,48.6303,-98.7048 +Hankinson,46.0734,-96.8916 +Donnybrook,48.5077,-101.8871 +Turtle Lake,47.5216,-100.8906 +Sharon,47.5974,-97.8994 +Hettinger,46.0034,-102.635 +Regent,46.4222,-102.5581 +Hensler,47.2603,-101.0849 +Balfour,47.9509,-100.5343 +Manvel,48.0725,-97.178 +Calio,48.6238,-98.938 +Buxton,47.6024,-97.0999 +Thompson,47.7753,-97.1058 +Mandan,46.829,-100.887 +Loraine,48.8683,-101.5678 +Oberon,47.9242,-99.2059 +Hartland,48.3995,-101.8204 +Hamberg,47.7634,-99.516 +Underwood,47.4551,-101.1419 +Gardner,47.1445,-96.9686 +White Earth,48.3799,-102.7718 +Karlsruhe,48.091,-100.6162 +Minnewaukan,48.0761,-99.2607 +Forman,46.1039,-97.6353 +Brinsmade,48.184,-99.3236 +Juanita,47.5022,-98.684 +Nortonville,46.5583,-98.7387 +McVille,47.7653,-98.1755 +Fort Yates,46.0865,-100.6302 +Anamoose,47.8828,-100.242 +Pillsbury,47.2071,-97.7957 +Kintyre,46.5497,-99.9496 +Logan,48.1557,-101.1664 +Hague,46.0289,-99.9991 +Barney,46.2658,-96.9987 +Fingal,46.7625,-97.7931 +Heimdal,47.7926,-99.6528 +Enderlin,46.6212,-97.5963 +Perth,48.7148,-99.4582 +Munich,48.6729,-98.8385 +Warwick,47.8547,-98.7056 +Ayr,47.0411,-97.4909 +Tioga,48.3951,-102.9402 +Walhalla,48.9211,-97.9176 +Esmond,48.0331,-99.7647 +Larimore,47.909,-97.627 +Dore,47.9206,-104.031 +Kenmare,48.6729,-102.0721 +New Hradec,46.9995,-102.8843 +Litchville,46.6566,-98.1917 +Loma,48.6417,-98.5248 +Ashley,46.0347,-99.3736 +Pick City,47.5114,-101.4571 +Rogers,47.074,-98.2031 +Edinburg,48.4956,-97.863 +Bathgate,48.8805,-97.4738 +Mohall,48.7661,-101.5169 +Webster,48.2822,-98.8762 +Woodworth,47.1421,-99.3045 +Dwight,46.3038,-96.74 +Sentinel Butte,46.9195,-103.84 +Bowdon,47.4685,-99.7089 +Falkirk,47.3619,-101.0946 +Montpelier,46.6988,-98.5884 +Stanley,48.3163,-102.3873 +Englevale,46.3912,-97.9038 +Ray,48.3416,-103.1635 +Larson,48.8916,-102.8626 +Chaffee,46.7744,-97.3526 +Burnstad,46.3855,-99.6326 +East Dunseith,48.8546,-100.0285 +De Lamere,46.2668,-97.3332 +Petersburg,48.0132,-98.0004 +Granville,48.2663,-100.8449 +Jamestown,46.9068,-98.6924 +Sarles,48.945,-98.9969 +Ross,48.3128,-102.5435 +Watford City,47.8031,-103.2687 +Maxbass,48.7225,-101.1424 +Upham,48.5815,-100.7285 +Michigan,48.025,-98.117 +Eckman,48.6581,-101.0579 +Kindred,46.6494,-97.017 +Heil,46.3892,-101.7011 +Washburn,47.2928,-101.029 +Deering,48.3956,-101.0502 +Edmore,48.4124,-98.4536 +Napoleon,46.5039,-99.7683 +Moffit,46.6772,-100.2912 +Erie,47.1154,-97.3879 +Plaza,48.026,-101.9594 +Bowesmont,48.69,-97.1781 +Tagus,48.3464,-101.9341 +Westfield,46.0294,-100.2023 +Buffalo,46.9193,-97.5507 +Halliday,47.3522,-102.3388 +Spiritwood,46.9343,-98.4933 +Brampton,45.9947,-97.7762 +Berthold,48.317,-101.7478 +Reeder,46.1071,-102.9427 +Langdon,48.7624,-98.3747 +Cathay,47.5541,-99.4107 +Souris,48.91,-100.6826 +Brantford,47.5978,-98.9229 +Binford,47.5604,-98.3456 +Wildrose,48.6299,-103.1837 +Newburg,48.7139,-100.9127 +Martin,47.8269,-100.1153 +Overly,48.6811,-100.151 +Westhope,48.9112,-101.0175 +Dickinson,46.8918,-102.7925 +Balta,48.1666,-100.0369 +New England,46.5408,-102.8669 +Voss,48.2964,-97.4554 +Medina,46.8938,-99.2999 +Raub,47.7464,-102.0432 +Alkabo,48.8628,-103.8902 +Venturia,45.9971,-99.5477 +Alexander,47.8393,-103.6426 +Fortuna,48.9099,-103.7783 +Palermo,48.338,-102.2298 +Lincoln,46.7678,-100.6996 +Havelock,46.4747,-102.7438 +Fort Clark,47.24,-101.2521 +Rolette,48.6609,-99.8417 +Casselton,46.8972,-97.2128 +Foxholm,48.3654,-101.5721 +Lawton,48.3036,-98.3683 +East Fairview,47.8554,-104.0375 +Surrey,48.2435,-101.1339 +Dunn Center,47.3527,-102.6233 +Fort Totten,47.9716,-98.9971 +Fryburg,46.8706,-103.303 +Kramer,48.6911,-100.7078 +Carbury,48.8908,-100.5446 +Auburn,48.5066,-97.4368 +Burlington,48.2573,-101.4146 +Richardton,46.8841,-102.3332 +Bergen,48.0037,-100.7199 +Sydney,46.7308,-98.7698 +Reiles Acres,46.927,-96.8666 +Orrin,48.091,-100.1671 +Fessenden,47.6494,-99.6267 +Fort Ransom,46.5244,-97.931 +Dunseith,48.813,-100.0622 +Abercrombie,46.4471,-96.7294 +New Town,47.9847,-102.4813 +Cayuga,46.0761,-97.3845 +Grafton,48.4142,-97.4055 +Rhame,46.2347,-103.655 +Caledonia,47.4577,-96.8892 +Rugby,48.3656,-99.9906 +Argusville,47.0501,-96.9431 +Des Lacs,48.2564,-101.5636 +Ryder,47.9211,-101.6694 +Starkweather,48.4521,-98.8784 +Whitman,48.1586,-98.1198 +Trenton,48.0706,-103.8369 +Bisbee,48.6272,-99.3788 +De Sart,46.3789,-102.9582 +LaMoure,46.3574,-98.2966 +Landa,48.8958,-100.912 +Lisbon,46.4385,-97.6841 +Robinson,47.1421,-99.7815 +Sibley,47.2186,-97.9653 +Colfax,46.4709,-96.8725 +Ypsilanti,46.7834,-98.561 +Bonetraill,48.4164,-103.8385 +Hoople,48.5358,-97.639 +Eldridge,46.9025,-98.8518 +Kief,47.86,-100.5133 +Tappen,46.8716,-99.6271 +Tolna,47.8257,-98.4382 +Regan,47.1568,-100.5273 +Coleharbor,47.5425,-101.2212 +Menoken,46.8149,-100.5338 +Bantry,48.4975,-100.6099 +Beulah,47.2665,-101.7733 +Nanson,48.5739,-99.7799 +Grandin,47.2367,-97.0032 +Havana,45.9517,-97.6185 +Golden Valley,47.2901,-102.0652 +Niobe,48.6889,-102.2157 +Crystal,48.5981,-97.6685 +Osnabrock,48.6699,-98.1488 +Gladstone,46.8595,-102.5701 +Keene,47.927,-102.9416 +Nekoma,48.5763,-98.3755 +Buchanan,47.0626,-98.829 +Haynes,45.9739,-102.471 +Marion,46.6091,-98.3375 +Hansboro,48.9524,-99.3802 +Clifford,47.3482,-97.4101 +Carpio,48.4434,-101.7163 +Cavalier,48.7939,-97.6226 +Nome,46.6758,-97.8162 +Driscoll,46.8426,-100.1439 +Mylo,48.6358,-99.6179 +Grand Forks,47.9223,-97.0887 +Chaseley,47.4503,-99.8201 +Grano,48.6153,-101.5893 +Valley City,46.9223,-98.0055 +Pettibone,47.1172,-99.5209 +Amenia,47.0065,-97.2241 +Kensal,47.3001,-98.7322 +Berlin,46.3784,-98.4885 +Leeds,48.2882,-99.4383 +Gardar,48.5892,-97.874 +Lehr,46.2825,-99.3527 +Harlow,48.1636,-99.519 +Sterling,46.8139,-100.2915 +Glenfield,47.4551,-98.5663 +Churchs Ferry,48.2686,-99.1944 +Judson,46.8264,-101.2785 +Selfridge,46.0417,-100.9244 +Bowbells,48.8037,-102.2471 +Sheyenne,47.8273,-99.1169 +Gackle,46.6264,-99.1412 +Spring Brook,48.2521,-103.4618 +Rolla,48.853,-99.6143 +Leith,46.3626,-101.6385 +Dawson,46.8679,-99.7536 +Zap,47.2847,-101.9233 +Parshall,47.9557,-102.1342 +Fullerton,46.1632,-98.4272 +Sherwood,48.9619,-101.6328 +Killdeer,47.3673,-102.7535 +Clyde,48.77,-98.899 +Harwood,46.9761,-96.8802 +Freda,46.3472,-101.1737 +Solen,46.3873,-100.7958 +Medora,46.9128,-103.525 +Portal,48.9947,-102.5479 +Lignite,48.8772,-102.5642 +Belcourt,48.8417,-99.7447 +Golva,46.7347,-103.9829 +Simcoe,48.1564,-100.8668 +Lostwood,48.4756,-102.4241 +Center,47.1149,-101.2977 +Glen Ullin,46.812,-101.8333 +Embden,46.805,-97.4395 +Maddock,47.9624,-99.5293 +Hickson,46.6694,-96.8104 +Velva,48.0581,-100.9329 +Douglas,47.858,-101.5019 +Flasher,46.4521,-101.2324 +Rutland,46.0543,-97.5068 +Lidgerwood,46.0738,-97.1451 +Davenport,46.7148,-97.0654 +Grenora,48.6199,-103.9367 +Elgin,46.4026,-101.843 +Fillmore,48.1803,-99.8007 +Goodrich,47.4759,-100.1248 +Conway,48.2343,-97.6751 +Marshall,47.1381,-102.333 +South Heart,46.8679,-102.9895 +Niagara,47.9983,-97.8717 +Cleveland,46.891,-99.1196 +Mercer,47.4905,-100.7104 +Four Bears Village,47.987,-102.5939 +Benedict,47.8301,-101.0843 +Coulee,48.5453,-102.0116 +Hensel,48.6883,-97.6665 +Ardoch,48.2054,-97.338 +Elliott,46.4023,-97.8149 +Beach,46.919,-104.008 +Shields,46.2336,-101.126 +Hope,47.3243,-97.7192 +Gwinner,46.2359,-97.6696 +Great Bend,46.1546,-96.801 +Hunter,47.1904,-97.2131 +Prairie Rose,46.8171,-96.8354 +Tower City,46.9263,-97.676 +Lefor,46.6817,-102.5596 +White Shield,47.6601,-101.8436 +Williston,48.1814,-103.6364 +Mapleton,46.8915,-97.0533 +Leroy,48.9233,-97.7526 +Raleigh,46.3572,-101.3053 +Garrison,47.6533,-101.4224 +Wolford,48.4975,-99.7037 +Hannah,48.9728,-98.6902 +Wheatland,46.9049,-97.3455 +Max,47.8204,-101.2911 +Portland,47.4995,-97.3693 +Sheldon,46.5876,-97.4918 +Mountain,48.6843,-97.8648 +Stanton,47.3187,-101.3822 +Shell Valley,48.8108,-99.8273 +Trotters,47.3231,-103.9183 +Saint John,48.9438,-99.7132 +Neche,48.9831,-97.5517 +Leonard,46.6523,-97.2499 +Wing,47.1423,-100.2823 +Luverne,47.2514,-97.9346 +West Fargo,46.8566,-96.9047 +Harmon,46.9443,-100.9526 +Breien,46.38,-100.9424 +Bowman,46.184,-103.3991 +Voltaire,48.0187,-100.844 +Alice,46.76,-97.5562 +Drake,47.9226,-100.3745 +Sawyer,48.0894,-101.0532 +Alamo,48.5824,-103.4676 +Hatton,47.6369,-97.4584 +Lucca,46.7069,-97.7198 +Inkster,48.1513,-97.6442 +Akra,48.7753,-97.727 +Cartwright,47.8597,-103.9263 +Egeland,48.6281,-99.098 +Ludden,46.0082,-98.1254 +Lakewood Park,48.0717,-98.9296 +Aneta,47.6795,-97.9897 +Pembina,48.9669,-97.2475 +Alfred,46.603,-98.9993 +McHenry,47.5764,-98.591 +Fargo,46.8653,-96.8292 +Zeeland,45.9731,-99.8328 +New Leipzig,46.3758,-101.9516 +Wishek,46.2554,-99.5546 +Wahpeton,46.2722,-96.6118 +Tuttle,47.1445,-99.9934 +Maida,48.9986,-98.3648 +Braddock,46.564,-100.0896 +Bucyrus,46.0646,-102.7883 +Livona,46.5022,-100.5471 +Baker,48.1606,-99.6476 +Barton,48.5093,-100.1734 +Spiritwood Lake,47.0743,-98.5866 +Oriska,46.9313,-97.7908 +Aylmer,47.9342,-100.1929 +Oxbow,46.6685,-96.8069 +Towner,48.3472,-100.407 +Ellendale,46.0043,-98.5254 +Wyndmere,46.2641,-97.1312 +Taylor,46.9018,-102.4222 +Jud,46.5258,-98.8976 +Epping,48.2817,-103.3579 +Fordville,48.2166,-97.7954 +Kelvin,48.9372,-100.051 +McClusky,47.484,-100.4426 +Rock Lake,48.7903,-99.2462 +Linton,46.2685,-100.2337 +Fairfield,47.1895,-103.2221 +Cashel,48.4847,-97.2987 +Mantador,46.1657,-96.9781 +Hazelton,46.4858,-100.2811 +Finley,47.5125,-97.8373 +Saint Anthony,46.6169,-100.9132 +Denbigh,48.3153,-100.5871 +Lankin,48.3147,-97.9202 +Sutton,47.4038,-98.4412 +Ambrose,48.9559,-103.4813 +Hannover,47.1114,-101.4265 +Belden,48.1514,-102.3574 +Tokio,47.9247,-98.8162 +Devils Lake,48.1122,-98.876 +Horace,46.7559,-96.9074 +Brocket,48.2107,-98.3556 +McGregor,48.5953,-102.9282 +Edgeley,46.3625,-98.7126 +Bordulac,47.3878,-98.964 +Sanborn,46.9428,-98.2238 +Milnor,46.261,-97.4573 +Haley,45.9614,-103.1193 +Hebron,46.9023,-102.0445 +Crosby,48.9163,-103.2967 +Crary,48.0717,-98.6384 +Colgate,47.2447,-97.6565 +Jessie,47.5402,-98.2291 +Minto,48.2924,-97.373 +North River,46.9503,-96.8018 +Glenburn,48.5136,-101.2211 +Carson,46.4223,-101.5706 +Willow City,48.6046,-100.2933 +McKenzie,46.8242,-100.4134 +Marmarth,46.296,-103.9331 +Hillsboro,47.403,-97.0635 +Wimbledon,47.1691,-98.4586 +Adams,48.4202,-98.0737 +Zahl,48.5734,-103.6921 +Mayville,47.4982,-97.3264 +Hazen,47.299,-101.6259 +Courtenay,47.2241,-98.5685 +Northgate,48.9909,-102.2621 +Dahlen,48.1588,-97.9321 +Dazey,47.1883,-98.2007 +Milton,48.626,-98.0459 +Walcott,46.5505,-96.9375 +Temvik,46.3697,-100.2584 +Drayton,48.5621,-97.1794 +Gardena,48.7012,-100.4981 +Pekin,47.7919,-98.3278 +Kulm,46.302,-98.9465 +Riverdale,47.4975,-101.3661 +Page,47.1592,-97.5681 +Monango,46.1734,-98.5952 +Fairmount,46.0547,-96.6029 +Grace City,47.5513,-98.8039 +Reynolds,47.6685,-97.106 +Belfield,46.8859,-103.1989 +Mott,46.3744,-102.3189 +Crete,46.2002,-97.9629 +Park River,48.3936,-97.7444 +Coteau,48.7567,-102.3191 +Holmesville,40.2009,-96.6584 +Bladen,40.3233,-98.5959 +Saint Helena,42.8106,-97.2488 +Shelby,41.194,-97.4263 +Brewster,41.9383,-99.8651 +Bushnell,41.2328,-103.8912 +Edison,40.2776,-99.7761 +Chadron,42.826,-103.0024 +Sholes,42.3348,-97.2946 +Wayne,42.2379,-97.01 +Bayard,41.7572,-103.323 +Dodge,41.7218,-96.8803 +Brainard,41.182,-97.0022 +Oakdale,42.0701,-97.9671 +Ralston,41.2005,-96.0354 +Fremont,41.4417,-96.4886 +Staplehurst,40.9747,-97.1731 +Western,40.3931,-97.1984 +Burr,40.536,-96.2997 +Shelton,40.7789,-98.7306 +Atlanta,40.3684,-99.4732 +McCool Junction,40.744,-97.6007 +Stromsburg,41.116,-97.591 +Uehling,41.735,-96.5057 +North Bend,41.4648,-96.7833 +Angus,40.2822,-97.9795 +Howells,41.7241,-97.0043 +Vesta,40.3564,-96.3375 +Henry,41.9979,-104.0461 +Whiteclay,42.997,-102.555 +Ceresco,41.058,-96.6459 +Kearney,40.7008,-99.0846 +Hildreth,40.3378,-99.0458 +Exeter,40.6445,-97.4492 +Kimball,41.2336,-103.6512 +Ulysses,41.0722,-97.2029 +Diller,40.1088,-96.9375 +Plattsmouth,41.0053,-95.894 +Paul,40.5953,-95.8967 +Walthill,42.1489,-96.4929 +Grand Island,40.9214,-98.3584 +Waco,40.8969,-97.4615 +Clatonia,40.4654,-96.8512 +Lushton,40.724,-97.7237 +Morse Bluff,41.431,-96.7666 +Culbertson,40.2284,-100.8351 +Lamar,40.5724,-101.9793 +Minatare,41.8111,-103.5019 +Champion,40.4706,-101.747 +Callaway,41.2915,-99.9203 +Butte,42.9124,-98.848 +Ord,41.5993,-98.9165 +Anselmo,41.6186,-99.8645 +Huntley,40.2105,-99.2905 +Weeping Water,40.8691,-96.14 +Arthur,41.5719,-101.6922 +Archer,41.1667,-98.1389 +Spencer,42.8749,-98.7003 +McGrew,41.7478,-103.4178 +Lyons,41.936,-96.4717 +Haig,41.8794,-103.7591 +Beatrice,40.2738,-96.7455 +Hardy,40.0114,-97.9238 +Eddyville,41.0124,-99.6241 +Wood Lake,42.6386,-100.2376 +Arabia,42.7311,-100.3726 +Marquette,41.0065,-98.0096 +Pawnee City,40.1106,-96.1529 +Elsie,40.8473,-101.3893 +Orleans,40.1315,-99.455 +Deshler,40.1397,-97.7233 +Waterbury,42.4572,-96.7356 +Lodgepole,41.1489,-102.6382 +Inavale,40.0923,-98.6484 +Rising City,41.1983,-97.2974 +Saronville,40.6029,-97.9386 +Louisville,40.9976,-96.1614 +McCook,40.2046,-100.6214 +Elba,41.2853,-98.5693 +Malmo,41.2664,-96.7209 +Clarks,41.2163,-97.8396 +York,40.8707,-97.5947 +Columbus,41.4361,-97.3561 +Danbury,40.0376,-100.4051 +Redington,41.5839,-103.273 +South Bend,41.0022,-96.2473 +Tobias,40.4185,-97.3366 +Nenzel,42.9274,-101.1018 +Doniphan,40.7742,-98.3708 +Maywood,40.6587,-100.6222 +Memphis,41.0946,-96.4331 +Avoca,40.7965,-96.1192 +Tilden,42.0439,-97.832 +Hemingford,42.3213,-103.0753 +Naponee,40.0747,-99.1386 +Rulo,40.0517,-95.4306 +West Point,41.8378,-96.7061 +Wausa,42.4978,-97.5394 +Bee,41.0064,-97.0583 +Emerson,42.2783,-96.7265 +Taylor,41.7696,-99.3814 +Byron,40.0048,-97.7686 +Genoa,41.4462,-97.7322 +Upland,40.3195,-98.9023 +Creighton,42.4649,-97.9072 +Albion,41.6873,-97.9985 +Leigh,41.7022,-97.2401 +Bartley,40.2511,-100.3104 +Lebanon,40.0487,-100.2761 +Hershey,41.1603,-100.9984 +Hamlet,40.3845,-101.2346 +Marsland,42.4439,-103.2985 +Julian,40.5198,-95.8674 +Utica,40.8954,-97.3453 +Denton,40.7394,-96.846 +Scottsbluff,41.8677,-103.6619 +Thedford,41.9789,-100.5747 +Cozad,40.8613,-99.9863 +Stockville,40.5336,-100.3845 +Martinsburg,42.5084,-96.8315 +Inman,42.3819,-98.5298 +Nora,40.1642,-97.9736 +Bruno,41.2831,-96.9609 +Milligan,40.5004,-97.3884 +Scribner,41.665,-96.6653 +Alda,40.8666,-98.4679 +Waterloo,41.2856,-96.285 +Eagle,40.8161,-96.4329 +Raymond,40.9567,-96.7815 +Winnebago,42.2361,-96.4719 +Gothenburg,40.9241,-100.154 +Hoskins,42.1126,-97.3045 +Swanton,40.3796,-97.0798 +Riverton,40.0897,-98.7597 +Chapman,41.0232,-98.1594 +Palisade,40.3483,-101.1075 +Martin,41.2581,-101.7091 +Wauneta,40.4165,-101.3767 +Hayes Center,40.511,-101.0203 +Verdon,40.149,-95.711 +Anoka,42.946,-98.8285 +Crofton,42.7315,-97.4986 +Belgrade,41.4709,-98.0677 +Maxwell,41.0784,-100.5256 +Crookston,42.9263,-100.7534 +Ong,40.3984,-97.8392 +Inland,40.5953,-98.2231 +Manley,40.9199,-96.1665 +Niobrara,42.7499,-98.0317 +Monroe,41.474,-97.5998 +Bassett,42.5827,-99.5368 +Willow Island,40.89,-100.0707 +Dunbar,40.6687,-96.0309 +Arlington,41.4548,-96.3565 +Weissert,41.4672,-99.4432 +Broadwater,41.5979,-102.8524 +Otoe,40.7243,-96.1207 +Paxton,41.1234,-101.352 +Unadilla,40.6826,-96.2702 +Dixon,42.4153,-96.9948 +Brunswick,42.3377,-97.9718 +Smithfield,40.5733,-99.7409 +Ayr,40.4377,-98.4409 +Deweese,40.3547,-98.1392 +Ashby,42.0219,-101.9277 +Stanton,41.9472,-97.2172 +Elyria,41.6802,-99.0053 +Madrid,40.8525,-101.5278 +Preston,40.0346,-95.5182 +Sparks,42.9411,-100.256 +Whitney,42.7838,-103.2568 +Wilsonville,40.1119,-100.1067 +Enola,41.9039,-97.4628 +Loma,41.1281,-96.942 +Wilcox,40.3641,-99.1694 +Rogers,41.4643,-96.9159 +Stapleton,41.4802,-100.5126 +Morrill,41.9638,-103.9244 +Cowles,40.1714,-98.4491 +Enders,40.455,-101.5355 +Gordon,42.8063,-102.2039 +Cotesfield,41.3575,-98.6335 +Seward,40.9094,-97.0962 +Dwight,41.0827,-97.0191 +Swedeburg,41.1361,-96.6247 +Cairo,41.0046,-98.6007 +Holbrook,40.3047,-100.0099 +Potter,41.2188,-103.3168 +Bucktail,41.565,-101.4304 +Bancroft,42.0105,-96.5732 +Giltner,40.7749,-98.1537 +Wilber,40.481,-96.9645 +Hickman,40.624,-96.6309 +Polk,41.0755,-97.7834 +Gretna,41.1319,-96.2447 +Duncan,41.3901,-97.4934 +Bertrand,40.5263,-99.6324 +Washington,41.3976,-96.2074 +Talmage,40.5316,-96.0239 +Snyder,41.7046,-96.7867 +Lewellen,41.3306,-102.1437 +Liberty,40.0856,-96.4829 +Petersburg,41.8536,-98.0811 +Peru,40.4786,-95.7313 +Steinauer,40.2073,-96.2329 +Alma,40.1036,-99.3655 +Scotia,41.4677,-98.7025 +Broken Bow,41.4052,-99.6401 +Gering,41.8275,-103.6649 +Gandy,41.4697,-100.4583 +Cook,40.5104,-96.1617 +Bostwick,40.0483,-98.1842 +Richfield,41.1108,-96.0763 +Creston,41.7081,-97.3625 +Beemer,41.93,-96.8093 +Guide Rock,40.0738,-98.3288 +North Platte,41.1266,-100.764 +Alvo,40.8723,-96.3865 +Agnew,41.0169,-96.8147 +Springview,42.8249,-99.7475 +Carleton,40.3033,-97.6816 +Cambridge,40.2843,-100.1654 +Clinton,42.7597,-102.348 +Lemoyne,41.2766,-101.8133 +Winnetoon,42.5135,-97.9601 +Indianola,40.2346,-100.4198 +Valparaiso,41.0798,-96.833 +Fairbury,40.1438,-97.1765 +Brock,40.4806,-95.96 +Springfield,41.0854,-96.1332 +Sprague,40.6266,-96.7445 +Royal,42.3329,-98.1251 +Hubbell,40.0087,-97.4966 +Jackson,42.4507,-96.579 +Cornlea,41.6801,-97.5669 +Aten,42.8368,-97.4408 +Palmer,41.2224,-98.2598 +Heartwell,40.5699,-98.7891 +Lisco,41.4987,-102.6237 +Emmet,42.4757,-98.8093 +Republican City,40.0988,-99.2222 +Nemaha,40.3388,-95.676 +Clarkson,41.7234,-97.1215 +Litchfield,41.1561,-99.1532 +Crab Orchard,40.3347,-96.4225 +Prosser,40.6875,-98.5777 +Humphrey,41.6884,-97.485 +Hastings,40.5961,-98.3916 +Ansley,41.2863,-99.3824 +Concord,42.3839,-96.989 +Craig,41.7852,-96.3624 +Kramer,40.5883,-96.8753 +Carroll,42.2757,-97.1909 +Schuyler,41.4497,-97.062 +Auburn,40.3894,-95.8436 +Coleridge,42.5065,-97.2029 +Burton,42.9119,-99.5918 +Maskell,42.6904,-96.9807 +Venango,40.7637,-102.0441 +Sutherland,41.1601,-101.1228 +Ragan,40.3108,-99.2896 +Cody,42.9377,-101.2489 +Sarben,41.1662,-101.3043 +Lincoln,40.8098,-96.6802 +Douglas,40.5932,-96.3882 +Valley,41.3175,-96.3481 +Crawford,42.6845,-103.416 +Murdock,40.9261,-96.2808 +Odessa,40.699,-99.2544 +Fairmont,40.6332,-97.5876 +Kennard,41.4747,-96.2037 +Linwood,41.4122,-96.9323 +Grafton,40.6298,-97.7147 +Virginia,40.246,-96.4989 +Rockville,41.1183,-98.8312 +Antioch,42.0683,-102.5821 +Comstock,41.5572,-99.243 +Decatur,42.0057,-96.2497 +Pierce,42.1991,-97.5282 +Fordyce,42.6983,-97.3628 +Boys Town,41.256,-96.1336 +Pilger,42.0077,-97.0546 +Magnet,42.4561,-97.4692 +Octavia,41.3475,-97.0591 +Hadar,42.1072,-97.451 +Phillips,40.8979,-98.2141 +Mead,41.2138,-96.4825 +Boone,41.6264,-97.9176 +Ainsworth,42.5485,-99.8575 +Barada,40.2183,-95.5775 +Elm Creek,40.7201,-99.3755 +Hordville,41.0794,-97.8904 +Lindsay,41.7004,-97.6938 +Trenton,40.1746,-101.0136 +Du Bois,40.0346,-96.0467 +Mason City,41.2222,-99.2987 +Lakeside,42.0558,-102.4249 +Prague,41.3095,-96.8081 +Sweetwater,41.0445,-99.0076 +Wann,41.1393,-96.3632 +Boelus,41.0739,-98.7156 +Thayer,40.9703,-97.4967 +Menominee,42.7869,-97.3745 +Reynolds,40.0598,-97.3359 +Ellsworth,42.0586,-102.2807 +Lewiston,40.2427,-96.4072 +Loomis,40.4783,-99.5075 +Bow Valley,42.7154,-97.2522 +Hay Springs,42.6834,-102.6897 +Union,40.8144,-95.9215 +King Lake,41.3135,-96.3017 +Gilead,40.1461,-97.415 +Beaver City,40.1383,-99.8276 +Flats,41.5689,-101.3518 +Powell,40.2208,-97.2848 +Henderson,40.7795,-97.8114 +Terrytown,41.8465,-103.6705 +Lyman,41.9176,-104.0374 +Platte Center,41.5374,-97.4886 +Pickrell,40.3782,-96.7294 +Big Springs,41.0609,-102.0745 +Walton,40.796,-96.5657 +Wolbach,41.4013,-98.394 +Tamora,40.8945,-97.2252 +Whitman,42.0419,-101.5232 +Norden,42.8686,-100.074 +Homer,42.3225,-96.4912 +Wisner,41.988,-96.9142 +Table Rock,40.1783,-96.0888 +Verdel,42.8114,-98.1933 +Dannebrog,41.1186,-98.5456 +Lexington,40.7779,-99.7461 +Stella,40.2322,-95.7735 +Cedar Rapids,41.5589,-98.1493 +Newport,42.6002,-99.3283 +Hooper,41.6117,-96.5485 +Holstein,40.465,-98.6509 +Keene,40.4253,-99.0659 +Endicott,40.0814,-97.0954 +Alliance,42.1025,-102.8765 +Humboldt,40.1658,-95.9443 +Pauline,40.4164,-98.3456 +Carlson,41.873,-103.5149 +Hendley,40.1313,-99.9711 +Dunning,41.8272,-100.1048 +Marion,40.0158,-100.4804 +Gurley,41.3213,-102.9744 +Bradshaw,40.8835,-97.747 +Tryon,41.5584,-100.9536 +Dalton,41.4082,-102.9708 +Allen,42.4144,-96.8431 +Halsey,41.9033,-100.2699 +Minden,40.498,-98.9675 +Bellwood,41.342,-97.2397 +Greeley,41.5486,-98.5312 +Blue Hill,40.3329,-98.4484 +Grant,40.8444,-101.7256 +Hartington,42.6205,-97.2672 +Bennington,41.3682,-96.1617 +Foster,42.2747,-97.6651 +Surprise,41.1047,-97.3086 +Winslow,41.6101,-96.5047 +Monowi,42.8307,-98.3296 +Johnson,40.4106,-95.9998 +Pleasant Dale,40.7913,-96.933 +Aurora,40.8642,-98.007 +Blair,41.5417,-96.1361 +Brownson,41.1875,-103.113 +Merna,41.4853,-99.761 +Harvard,40.6201,-98.0961 +Hyannis,42.0005,-101.7622 +Glenvil,40.5028,-98.2547 +Mascot,40.2645,-99.5462 +Rockford,40.2517,-96.6003 +McLean,42.3861,-97.4681 +La Platte,41.0718,-95.9255 +La Vista,41.1816,-96.0666 +Waverly,40.9109,-96.5341 +Bridgeport,41.6639,-103.0962 +Overland,41.0809,-97.9783 +Edgar,40.3683,-97.971 +Loretto,41.7635,-98.0817 +Overton,40.7405,-99.5374 +Hansen,40.6964,-98.3703 +Battle Creek,41.9981,-97.5994 +Clearwater,42.1707,-98.1897 +Farnam,40.7065,-100.2155 +Melbeta,41.7822,-103.5173 +Shubert,40.236,-95.6836 +Irvington,41.3211,-96.0547 +Pender,42.1107,-96.7114 +Dawson,40.1305,-95.8298 +Abie,41.334,-96.9493 +Almeria,41.8258,-99.5221 +Brownlee,42.2893,-100.6241 +Filley,40.285,-96.5341 +North Loup,41.4955,-98.7726 +Sidney,41.1341,-102.9681 +Panama,40.5998,-96.5112 +Fullerton,41.3647,-97.9726 +Wynot,42.7399,-97.1697 +Wahoo,41.2153,-96.6165 +Firth,40.5349,-96.6052 +Axtell,40.4799,-99.1287 +Perrin,41.8125,-103.2463 +Oconto,41.1417,-99.7619 +Cedar Bluffs,41.3971,-96.6098 +Macy,42.1159,-96.3667 +Lynch,42.8314,-98.4668 +Burwell,41.78,-99.1341 +Bazile Mills,42.5124,-97.9083 +Adams,40.4571,-96.513 +Princeton,40.5736,-96.7047 +Saint Paul,41.214,-98.4601 +Rosemont,40.287,-98.3642 +Burchard,40.1493,-96.3488 +Stuart,42.6011,-99.1407 +Stratton,40.1502,-101.2279 +Sumner,40.9491,-99.5081 +Chappell,41.0913,-102.4699 +Davenport,40.3123,-97.8115 +Ringgold,41.5086,-100.7915 +Elgin,41.9831,-98.0828 +Daykin,40.3217,-97.2983 +Fort Calhoun,41.4563,-96.0262 +Newman Grove,41.7469,-97.7767 +Saint Mary,40.4242,-96.29 +Salem,40.0769,-95.7286 +Eustis,40.6645,-100.0296 +Harrison,42.6879,-103.8825 +Campbell,40.2963,-98.7315 +Laurel,42.4285,-97.0951 +Palmyra,40.7057,-96.3919 +Elk City,41.3717,-96.2678 +West Lincoln,40.8378,-96.7311 +Gross,42.9461,-98.5697 +Venice,41.239,-96.3526 +Trumbull,40.6801,-98.2734 +Ellis,40.2183,-96.8759 +Primrose,41.6238,-98.2374 +Ravenna,41.0275,-98.8946 +Inglewood,41.416,-96.5021 +Benedict,41.0063,-97.6073 +Berwyn,41.3508,-99.5006 +Oak,40.2382,-97.9036 +Fontanelle,41.5383,-96.4271 +Imperial,40.5146,-101.6381 +Atkinson,42.5308,-98.9747 +Touhy,41.1331,-96.8231 +Norfolk,42.035,-97.4208 +Cordova,40.7164,-97.3516 +Juniata,40.5903,-98.5069 +Elsmere,42.1653,-100.1854 +Lowell,40.6475,-98.8473 +Thurston,42.177,-96.7001 +Harrisburg,41.5505,-103.7267 +Oshkosh,41.4081,-102.3453 +Oxford,40.253,-99.6322 +Amelia,42.2356,-98.912 +Falls City,40.0623,-95.599 +Nebraska City,40.6766,-95.8613 +Bristow,42.8408,-98.5834 +Purdum,42.065,-100.2585 +Papillion,41.1545,-96.0584 +Ashland,41.0404,-96.3707 +Garrison,41.1754,-97.1633 +Mitchell,41.9427,-103.8097 +Davey,40.9838,-96.6692 +O'Neill,42.461,-98.6465 +Hampton,40.8812,-97.8875 +Bruning,40.3357,-97.5648 +Garland,40.9446,-96.9855 +Spalding,41.6892,-98.3626 +Miller,40.9276,-99.3901 +Gresham,41.0284,-97.4011 +Tarnov,41.6148,-97.5025 +Max,40.1145,-101.4044 +Sunol,41.1539,-102.763 +Randolph,42.3775,-97.3577 +Kronborg,41.0028,-97.9401 +Richland,41.4367,-97.2152 +Tecumseh,40.3718,-96.189 +Elk Creek,40.2883,-96.1268 +Nickerson,41.5349,-96.4709 +Sargent,41.64,-99.3688 +Saint Edward,41.5716,-97.8611 +Red Cloud,40.0864,-98.5222 +Lorenzo,41.0576,-103.0821 +Bloomington,40.0938,-99.0384 +Stockham,40.7164,-97.9432 +Sterling,40.4612,-96.3776 +Mullen,42.0433,-101.0444 +Milford,40.7724,-97.0537 +Bellevue,41.1535,-95.9357 +Ewing,42.2593,-98.3437 +Yankee Hill,40.7674,-96.7364 +Odell,40.0503,-96.8016 +Long Pine,42.5353,-99.7027 +Wakefield,42.2665,-96.8632 +Kenesaw,40.6189,-98.6576 +Newcastle,42.6524,-96.874 +Wymore,40.1221,-96.6643 +Angora,41.8519,-103.1252 +De Witt,40.3953,-96.9222 +Yutan,41.2431,-96.3959 +Greenwood,40.9614,-96.4433 +Farwell,41.2156,-98.628 +Neligh,42.129,-98.0299 +Skyline,41.2497,-96.2495 +Silver Creek,41.3153,-97.6651 +Dix,41.2342,-103.4866 +Nelson,40.2011,-98.0687 +Plainview,42.3534,-97.7871 +Jansen,40.1862,-97.0833 +Alexandria,40.2476,-97.3877 +Saint Libory,41.0822,-98.359 +Bloomfield,42.5984,-97.6482 +Osmond,42.3583,-97.599 +Ithaca,41.1593,-96.5394 +Verdigre,42.5973,-98.0358 +Santee,42.8386,-97.8495 +Raeville,41.8954,-98.0537 +Brandon,40.8033,-101.9124 +Assumption,40.51,-98.5723 +Ericson,41.7803,-98.6785 +Belvidere,40.2546,-97.5577 +Friend,40.6505,-97.2838 +Cedar Creek,41.0451,-96.1016 +Roseland,40.4698,-98.5586 +Clay Center,40.5256,-98.055 +Dakota City,42.4184,-96.4202 +Ruby,40.8314,-97.077 +Strang,40.4149,-97.5871 +Funk,40.463,-99.2508 +Syracuse,40.6635,-96.1827 +Arcadia,41.4249,-99.126 +Brady,41.0223,-100.3674 +Orchard,42.3369,-98.2411 +Chester,40.0101,-97.6181 +Saint Bernard,41.722,-97.6289 +Kilgore,42.9392,-100.9571 +Goehner,40.8327,-97.2196 +Roca,40.6583,-96.6614 +Macon,40.205,-98.9526 +Seneca,42.044,-100.8321 +Madison,41.8286,-97.4567 +Rushville,42.7134,-102.4665 +Brule,41.0947,-101.8887 +Beaver Crossing,40.7782,-97.2825 +Shickley,40.4165,-97.7241 +Elmwood,40.8426,-96.2947 +Westerville,41.3962,-99.3817 +Valentine,42.8739,-100.5498 +Lorton,40.5973,-96.0242 +Amherst,40.8384,-99.2693 +Eli,42.9436,-101.4913 +Steele City,40.0367,-97.0232 +Gibbon,40.7461,-98.8458 +Wallace,40.8376,-101.1645 +Superior,40.023,-98.0662 +Saint Stephens,40.2536,-98.2562 +Ponca,42.5648,-96.7097 +Bennet,40.6818,-96.5039 +Fairfield,40.4323,-98.1032 +Keystone,41.2187,-101.5841 +Hazard,41.0914,-99.0772 +Bingham,42.0211,-102.0885 +Ogallala,41.1292,-101.721 +Wood River,40.8208,-98.6003 +Norman,40.479,-98.7919 +Lawrence,40.2902,-98.2596 +Ohiowa,40.4137,-97.4523 +South Sioux City,42.4627,-96.4134 +Page,42.4,-98.4177 +Grainton,40.8231,-101.2874 +Rose,42.1806,-99.5257 +Bartlett,41.8839,-98.5527 +Ames,41.4491,-96.6262 +Herman,41.674,-96.2167 +Chalco,41.1817,-96.1353 +Naper,42.9641,-99.097 +Sutton,40.6063,-97.8795 +Belden,42.4116,-97.2074 +Mills,42.9406,-99.444 +Meadow Grove,42.029,-97.736 +Barneston,40.0488,-96.5736 +Poole,40.9871,-98.9655 +Osceola,41.1781,-97.5498 +Holdrege,40.4395,-99.3773 +Franklin,40.0966,-98.9514 +Howe,40.3219,-95.8192 +Ashton,41.2478,-98.7952 +Ruskin,40.144,-97.867 +Obert,42.6895,-97.0274 +Weston,41.1931,-96.7419 +Stamford,40.1313,-99.5945 +Harbine,40.1916,-96.9742 +Haigler,40.0122,-101.9386 +Murray,40.9163,-95.9264 +Hebron,40.1681,-97.5872 +Pleasanton,40.9698,-99.0875 +Nehawka,40.8295,-95.9901 +Benkelman,40.0517,-101.5354 +Berea,42.2123,-102.983 +Cushing,41.2949,-98.3693 +Lindy,42.7351,-97.7499 +Hubbard,42.3859,-96.5915 +Dickens,40.8261,-100.9929 +Parks,40.0437,-101.7251 +Central City,41.1133,-98.0003 +Loup City,41.2766,-98.9678 +Cortland,40.5059,-96.7061 +Moorefield,40.6899,-100.4004 +Center,42.609,-97.8761 +Merriman,42.923,-101.6997 +Curtis,40.6335,-100.5112 +David City,41.2577,-97.1277 +Geneva,40.5295,-97.5991 +Belmar,41.3055,-101.9346 +Darr,40.8208,-99.8837 +Mynard,40.9736,-95.9239 +Tekamah,41.7779,-96.2248 +Arapahoe,40.3049,-99.8981 +Milburn,41.7194,-99.7312 +Johnstown,42.5721,-100.0563 +Omaha,41.2628,-96.0495 +Winside,42.1773,-97.1751 +Roscoe,41.1316,-101.5853 +Wellfleet,40.7539,-100.7318 +Arnold,41.4231,-100.1936 +Crete,40.6255,-96.9575 +Plymouth,40.3023,-96.9886 +Brownville,40.3976,-95.6608 +Riverdale,40.7839,-99.1605 +Leshara,41.3298,-96.4292 +Dorchester,40.6475,-97.1149 +Malcolm,40.9088,-96.8655 +Mintle,41.9458,-103.6805 +Rosalie,42.0574,-96.5128 +Elwood,40.5897,-99.8616 +Colon,41.2981,-96.607 +Hallam,40.5375,-96.7866 +Blue Springs,40.1375,-96.663 +Chambers,42.2048,-98.7486 +Oakland,41.8354,-96.4667 +White Pine,36.1092,-83.2958 +Dyersburg,36.0465,-89.3778 +Park City,35.0782,-86.5834 +Bolivar,35.2645,-89.0118 +Lookout Mountain,34.9944,-85.3516 +Pleasant Hill,35.9767,-85.1996 +Pinson,35.4901,-88.7206 +Jonesborough,36.2959,-82.4766 +Fayetteville,35.149,-86.5634 +Rural Hill,36.1164,-86.5152 +Columbia,35.6225,-87.0478 +Estill Springs,35.2742,-86.1384 +Christiana,35.7204,-86.4109 +Wynnburg,36.3287,-89.4734 +Ashland City,36.2607,-87.0412 +Waynesboro,35.3236,-87.7593 +Cumberland City,36.3828,-87.6403 +Lakeland,35.2586,-89.7307 +McKinnon,36.3162,-87.907 +New Tazewell,36.4381,-83.6053 +Dandridge,36.0283,-83.4309 +Red Bank,35.1117,-85.2962 +La Vergne,36.0209,-86.5574 +Vanleer,36.2383,-87.4463 +Lynnville,35.3781,-87.0064 +Wildwood,35.7998,-83.8686 +East Cleveland,35.1525,-84.8541 +Charlotte,36.1865,-87.3384 +Banner Hill,36.1222,-82.4203 +Campaign,35.7709,-85.6286 +Shouns,36.4454,-81.7996 +Halls Crossroads,36.0804,-83.9424 +Trimble,36.2022,-89.1879 +Tennessee City,36.0931,-87.5147 +Rockvale,35.7674,-86.5206 +Alpine,36.3948,-85.2169 +Summertown,35.4344,-87.3084 +Winchester,35.1899,-86.1077 +Hornbeak,36.3355,-89.2954 +Fowlkes,35.9706,-89.3862 +Theta,35.7787,-87.0503 +Newbern,36.1169,-89.2713 +Townsend,35.6758,-83.7524 +Gleason,36.2173,-88.6107 +Capleville,35.0206,-89.8979 +Forest Hills,36.0651,-86.8403 +Walnut Grove,36.489,-86.6057 +Gruetli-Laager,35.3725,-85.6375 +Oak Ridge,35.9639,-84.2938 +Green Brier,36.6128,-85.1313 +South Carthage,36.2413,-85.9574 +Elizabethton,36.3363,-82.238 +Cedar Hill,36.5512,-87.0007 +Elora,35.0134,-86.3558 +Gadsden,35.7767,-88.9861 +Bell Buckle,35.59,-86.353 +Millersville,36.3967,-86.7108 +Arthur,36.5481,-83.6707 +Pine Crest,36.2964,-82.3108 +Oakdale,35.9896,-84.5573 +Gibson,35.8743,-88.844 +Spencer,35.7393,-85.456 +Grandview,35.7437,-84.8399 +Byrdstown,36.5737,-85.1345 +Ridgetop,36.4047,-86.7682 +Somerville,35.2352,-89.3869 +Sneedville,36.5366,-83.2099 +Milledgeville,35.3776,-88.366 +New Providence,36.5487,-87.3792 +Russellville,36.2587,-83.1952 +Church Hill,36.5206,-82.7142 +Vonore,35.5976,-84.2372 +Mount Pleasant,35.5484,-87.1882 +Gatlinburg,35.725,-83.4936 +Louisville,35.8247,-84.0551 +Finger,35.3568,-88.6174 +Monteagle,35.2359,-85.849 +Cumberland Furnace,36.2687,-87.3597 +Buena Vista,35.9765,-88.2895 +Seymour,35.8761,-83.7742 +Overall,35.8101,-86.475 +Huntland,35.0579,-86.269 +Dodson Branch,36.3149,-85.5321 +Campbellsville,35.3373,-87.1306 +Memphis,35.1047,-89.9773 +Lyles,35.9195,-87.345 +Brighton,35.4815,-89.7346 +East Ridge,34.9973,-85.2285 +Eva,36.0687,-88.0082 +Midtown,35.8812,-84.5717 +Tracy City,35.262,-85.7515 +Chewalla,35.0134,-88.6464 +Dyer,36.0711,-88.9923 +Bemis,35.5762,-88.8214 +Monterey,36.1446,-85.2643 +Toone,35.3565,-88.9542 +Greenfield,36.16,-88.8036 +Guys,35.0193,-88.5415 +Lebanon,36.2038,-86.3466 +Mosheim,36.1955,-82.9646 +Algood,36.1999,-85.4467 +Centerville,35.8042,-87.4578 +Gallatin,36.3783,-86.4696 +Sharon,36.2349,-88.8252 +Calhoun,35.2976,-84.7458 +Pioneer,36.4176,-84.3141 +Gladeville,36.1126,-86.4164 +Condon,36.1812,-83.7938 +Neubert,35.8934,-83.8416 +Loudon,35.7414,-84.3698 +Ocoee,35.1223,-84.7188 +Wartrace,35.5253,-86.3301 +Hanging Limb,36.237,-85.1619 +Dresden,36.279,-88.6941 +Lakewood,36.2431,-86.6356 +Woodland Mills,36.4768,-89.1106 +Luttrell,36.2097,-83.7478 +Hartford,35.8168,-83.1432 +Cedar Grove,35.817,-88.5956 +Holladay,35.8706,-88.1459 +New River,36.3826,-84.5486 +Ridgeside,35.0349,-85.2469 +Chattanooga,35.0657,-85.2488 +Gordonsville,36.1814,-85.9321 +Spring Hill,35.7435,-86.912 +Ten Mile,35.6667,-84.6647 +South Cleveland,35.1097,-84.9097 +Briceville,36.1784,-84.1852 +Howell,35.2301,-86.6111 +Martin,36.3385,-88.8513 +Hartsville,36.3909,-86.1672 +Chestnut Mound,36.2028,-85.8264 +Sevierville,35.8873,-83.5678 +Whiteville,35.318,-89.1498 +Lenoir City,35.8114,-84.2817 +Jefferson City,36.1197,-83.4839 +Quebeck,35.8167,-85.5669 +Falling Water,35.1962,-85.2604 +Eagleton Village,35.7884,-83.9364 +New Deal,36.5139,-86.5629 +Spurgeon,36.443,-82.4621 +Arlington,35.2595,-89.668 +Henry,36.2003,-88.4108 +LaFollette,36.372,-84.1252 +Milltown,36.3937,-85.7994 +Covington,35.5656,-89.648 +Chesterfield,35.6467,-88.27 +Leoma,35.1615,-87.3481 +Waverly,36.0939,-87.7846 +Copperhill,34.9952,-84.3749 +Castalian Springs,36.4012,-86.3068 +Tazewell,36.4626,-83.567 +Greeneville,36.168,-82.8197 +Doyle,35.8552,-85.512 +Hopewell,35.2387,-84.9139 +Burns,36.0501,-87.2978 +Collinwood,35.1745,-87.7441 +Fairview,35.9814,-87.1291 +Rutledge,36.2757,-83.5311 +Bruceton,36.0349,-88.2466 +Kimball,35.0457,-85.6734 +Saint Bethlehem,36.572,-87.3 +Ozone,35.882,-84.8091 +Rome,36.262,-86.0717 +Normandy,35.4523,-86.2582 +Centertown,35.7251,-85.9197 +Spring City,35.6884,-84.8626 +Savannah,35.2211,-88.2359 +Hermitage Springs,36.5809,-85.7814 +Milan,35.9126,-88.7556 +Michie,35.0603,-88.4257 +Munford,35.4436,-89.8141 +Evensville,35.5645,-84.9547 +Cumberland Gap,36.5974,-83.6659 +Elkton,35.062,-86.8976 +McEwen,36.1099,-87.6355 +Cookeville,36.1484,-85.5114 +Liberty,36.0045,-85.9779 +Leipers Fork,35.8956,-86.9978 +Coalmont,35.3458,-85.7113 +Petersburg,35.3173,-86.6407 +Granville,36.2712,-85.7953 +Flat Woods,35.477,-87.8275 +Fairfield Glade,36.0028,-84.8711 +Rives,36.3563,-89.0495 +Rocky Top,36.2179,-84.1546 +Shepherd,35.039,-85.1919 +Burlison,35.557,-89.7847 +Coopertown,36.4143,-86.9657 +Belle Meade,36.0993,-86.8563 +Bethel Springs,35.2347,-88.6117 +Bloomingdale,36.5795,-82.5094 +Alcoa,35.8072,-83.9749 +Helenwood,36.4287,-84.5531 +Parsons,35.6512,-88.123 +Watertown,36.1011,-86.1403 +Pelham,35.3342,-85.8703 +Nixon,35.1148,-88.2567 +Harrogate,36.5752,-83.6462 +Clinton,36.0988,-84.1281 +Eads,35.2045,-89.6492 +Erin,36.3159,-87.7026 +Middleton,35.0617,-88.89 +Belfast,35.4209,-86.7025 +Watauga,36.3679,-82.2925 +Unicoi,36.2217,-82.3293 +Farner,35.1542,-84.3152 +Winfield,36.5644,-84.4461 +Rickman,36.2626,-85.3755 +Scotts Hill,35.5192,-88.2527 +Halls,35.8795,-89.405 +Crossville,35.9526,-85.0294 +Ashport,35.7601,-89.7856 +Grimsley,36.2761,-84.997 +Palmer,35.3576,-85.5656 +Medina,35.8149,-88.7905 +Bean Station,36.3322,-83.2852 +Middle Valley,35.1878,-85.1958 +Belinda City,36.1676,-86.4858 +Westover,35.6109,-88.8767 +Clarkrange,36.1857,-85.0096 +Pegram,36.1037,-87.0565 +Grand Junction,35.0499,-89.1891 +White Bluff,36.1,-87.2109 +Atwood,35.9747,-88.6689 +Crab Orchard,35.9066,-84.8847 +Bartlett,35.2337,-89.8195 +Charleston,35.2863,-84.7611 +Saulsbury,35.0489,-89.0883 +Concord,35.8687,-84.1419 +Ethridge,35.3218,-87.3013 +Millington,35.3368,-89.8931 +Parker Crossroads,35.7937,-88.3909 +Hendersonville,36.3063,-86.5997 +Hohenwald,35.5515,-87.5539 +Olivet,35.2048,-88.1939 +Baileyton,36.3303,-82.8289 +New Hope,35.0044,-85.6597 +Philadelphia,35.6788,-84.3999 +Blountville,36.533,-82.329 +Talbott,36.1526,-83.4152 +College Grove,35.7884,-86.6744 +Witt,36.1501,-83.2829 +Brush Creek,36.1173,-86.0278 +Summitville,35.5595,-85.9925 +Linden,35.6123,-87.8429 +Dunlap,35.3675,-85.3899 +Jasper,35.0663,-85.6227 +Kingston Springs,36.0841,-87.1039 +Shackle Island,36.3775,-86.6168 +Mooresburg,36.3531,-83.2362 +Apison,35.0104,-85.0089 +Bells,35.7203,-89.0859 +Decatur,35.5291,-84.7933 +Perryville,35.6206,-88.0417 +Pigeon Forge,35.7977,-83.5623 +Rugby,36.3604,-84.7008 +Niota,35.5169,-84.5496 +Oliver Springs,36.0402,-84.3288 +Benton,35.1749,-84.6516 +Rosemark,35.3626,-89.7723 +Enville,35.3911,-88.4303 +New Johnsonville,36.0163,-87.9696 +Decherd,35.2162,-86.0759 +Wildersville,35.7815,-88.3603 +Allardt,36.3811,-84.8814 +Washburn,36.2901,-83.591 +Trenton,35.9685,-88.9457 +McMinnville,35.6863,-85.7812 +Lobelville,35.7507,-87.7958 +Ardmore,35.003,-86.8546 +Mount Juliet,36.1993,-86.5115 +Chapel Hill,35.6294,-86.6955 +Huntingdon,36.0052,-88.4181 +Kingston,35.8717,-84.4954 +Union City,36.4265,-89.0477 +Flintville,35.0601,-86.4164 +Slayden,36.2926,-87.4658 +RoEllen,36.0237,-89.2815 +Braden,35.3685,-89.5718 +Norris,36.2106,-84.0629 +Paris,36.2934,-88.3065 +Saint Joseph,35.033,-87.5008 +Hickory Valley,35.1549,-89.126 +Clarksville,36.5696,-87.3428 +Morristown,36.2043,-83.3001 +Counce,35.0423,-88.2734 +Tellico Plains,35.3657,-84.2974 +Bold Spring,35.967,-87.6792 +Powell,36.0317,-84.028 +Henderson,35.4446,-88.6531 +Decaturville,35.582,-88.1195 +Medon,35.456,-88.8645 +Powells Crossroads,35.1844,-85.4846 +Ridgely,36.2607,-89.4808 +Dickson,36.0637,-87.3661 +Atoka,35.4229,-89.7863 +Graball,36.4837,-86.4396 +Obion,36.2639,-89.1942 +Bumpus Mills,36.6048,-87.8375 +Lexington,35.6609,-88.3965 +Oneida,36.5174,-84.5103 +Stella,35.039,-87.0847 +Newport,35.9617,-83.1977 +Mentor,35.8217,-84.0119 +Crump,35.2315,-88.3381 +Eagleville,35.7398,-86.653 +Oak Grove,36.4223,-82.4293 +Frankewing,35.1926,-86.8511 +Humboldt,35.8254,-88.9045 +Big Rock,36.5806,-87.76 +Telford,36.2534,-82.5478 +Manchester,35.4629,-86.0775 +Mascot,36.0673,-83.765 +Shelbyville,35.4987,-86.4516 +Camden,36.0663,-88.1047 +Clairfield,36.5501,-83.9502 +Jackson,35.6533,-88.8352 +Sparta,35.9347,-85.4726 +Knoxville,35.9692,-83.9495 +Strawberry Plains,36.0631,-83.686 +Walnut Hill,36.5673,-82.2655 +Sale Creek,35.3895,-85.0875 +Morrison,35.6048,-85.9117 +Green Hill,36.235,-86.5733 +Fincastle,36.4038,-84.048 +Tullahoma,35.372,-86.2173 +Greenbrier,36.4237,-86.7974 +Indian Mound,36.5009,-87.6936 +Mountain City,36.4695,-81.8049 +Gilt Edge,35.5337,-89.8302 +Tasso,35.2117,-84.8041 +De Rossett,35.9506,-85.3089 +Rockford,35.833,-83.9359 +Central,36.3292,-82.2938 +Soddy-Daisy,35.2571,-85.174 +Fall Branch,36.4161,-82.6242 +Rocky Fork,36.0351,-82.5521 +Cottage Grove,36.3781,-88.4789 +Statesville,36.0195,-86.125 +Loretto,35.0794,-87.4402 +Westmoreland,36.5606,-86.2442 +Mount Carmel,36.5612,-82.6615 +Big Sandy,36.2325,-88.0854 +Stantonville,35.1569,-88.4299 +Bluff City,36.4585,-82.2768 +Erwin,36.1456,-82.4115 +Thompson's Station,35.809,-86.8999 +Smithville,35.9584,-85.8211 +Willette,36.4412,-85.8505 +Auburntown,35.9512,-86.0967 +Pleasant View,36.3893,-87.0455 +Madisonville,35.5234,-84.3637 +La Grange,35.0478,-89.2401 +Lenox,36.0892,-89.4984 +Harriman,35.9306,-84.5603 +Samburg,36.3818,-89.3523 +Sherwood,35.0762,-85.9233 +Conasauga,35.0045,-84.7294 +Ramer,35.0717,-88.6152 +Jacksboro,36.3353,-84.1925 +Johnson City,36.3406,-82.3804 +Friendship,35.9084,-89.2414 +Corryton,36.1537,-83.7824 +Robbins,36.3536,-84.5839 +Mansfield,36.1773,-88.2862 +Moss,36.5892,-85.6169 +Germantown,35.083,-89.7824 +Adams,36.5824,-87.0628 +Malesus,35.5429,-88.8267 +Ducktown,35.036,-84.3848 +Wildwood Lake,35.0893,-84.8513 +Livingston,36.3875,-85.3265 +Beech Bluff,35.5965,-88.6314 +Gallaway,35.3275,-89.6065 +Riceville,35.3895,-84.6989 +Cornersville,35.3628,-86.8583 +Lancing,36.1206,-84.6538 +Elgin,36.3285,-84.6091 +Wilder,36.2662,-85.0905 +Trezevant,36.011,-88.6205 +Cypress Inn,35.012,-87.8167 +Reagan,35.5217,-88.3425 +Delano,35.2651,-84.5533 +Bethpage,36.4844,-86.3085 +Farragut,35.8731,-84.1821 +Harrison,35.1276,-85.1464 +Cleveland,35.1817,-84.8707 +Mercer,35.4792,-89.0423 +Shop Springs,36.1278,-86.2122 +Graysville,35.4494,-85.0763 +Cottontown,36.449,-86.5336 +Orlinda,36.5935,-86.6994 +Athens,35.4573,-84.6042 +Clarksburg,35.8668,-88.3932 +Pulaski,35.1934,-87.0353 +Silerton,35.3423,-88.8099 +Hollow Rock,36.0355,-88.274 +Surgoinsville,36.4735,-82.8606 +Viola,35.5387,-85.8609 +New Union,35.534,-86.0832 +Cordova,35.1556,-89.7762 +Oak Hill,36.0735,-86.7856 +Maynardville,36.247,-83.8057 +Huntsville,36.4106,-84.504 +Nashville,36.1714,-86.7844 +New Market,36.109,-83.5495 +Iron City,35.0227,-87.5854 +McLemoresville,35.9863,-88.5801 +Karns,35.982,-84.1138 +Fork Mountain,36.1267,-84.4199 +Williston,35.1585,-89.3754 +Lake Tansi,35.8706,-85.0617 +Red Boiling Springs,36.5301,-85.8482 +Rogersville,36.408,-83.0037 +Nolensville,35.957,-86.6762 +Bristol,36.5572,-82.2144 +Gainesboro,36.3618,-85.6496 +Lone Mountain,36.3906,-83.5849 +Gates,35.8406,-89.4081 +Hampton,36.2843,-82.1726 +Carter,36.4129,-82.0804 +Bogota,36.164,-89.4384 +Smyrna,35.9727,-86.5244 +Yorkville,36.0968,-89.1185 +Unionville,35.6118,-86.5739 +Fair Garden,35.8915,-83.4108 +Portland,36.5879,-86.5191 +White House,36.4646,-86.6662 +Allons,36.442,-85.3447 +Dowelltown,36.0125,-85.9427 +Tennessee Ridge,36.3194,-87.7631 +Rockwood,35.8692,-84.6731 +Stanton,35.4613,-89.4013 +Pittman Center,35.7595,-83.3885 +Eagan,36.552,-83.9769 +Bransford,36.5133,-86.2853 +South Tunnel,36.4803,-86.4661 +Lynn Garden,36.577,-82.5677 +Rossville,35.0323,-89.5613 +Cowan,35.163,-86.0143 +Parrottsville,36.0082,-83.0915 +Palmersville,36.4034,-88.5873 +Victoria,35.1537,-85.5541 +Ooltewah,35.0722,-85.0547 +Hunter,36.3979,-82.151 +Tallassee,35.5467,-84.0599 +Bowman,36.0586,-85.0305 +Nunnelly,35.8595,-87.4692 +Collierville,35.0474,-89.699 +Sardis,35.4428,-88.2916 +Alamo,35.7831,-89.1167 +Alexandria,36.0791,-86.0381 +Shawanee,36.5806,-83.6388 +Tusculum,36.1751,-82.7454 +Forbus,36.5528,-84.9916 +Lawrenceburg,35.2497,-87.3325 +Boma,36.127,-85.6825 +Berry Hill,36.1196,-86.7673 +Westel,35.8631,-84.7552 +Marbledale,35.9579,-83.8185 +Orme,35.0146,-85.8048 +Troy,36.3426,-89.1568 +Elk Valley,36.4837,-84.2458 +Nough,35.882,-83.0104 +Piperton,35.0512,-89.6091 +Maury City,35.8145,-89.2239 +South Pittsburg,35.0109,-85.7183 +Kingsport,36.522,-82.5453 +Andersonville,36.197,-84.033 +Mason,35.4124,-89.5434 +Hixson,35.1406,-85.2327 +Greenback,35.6492,-84.1724 +Difficult,36.3692,-85.8922 +Murfreesboro,35.8493,-86.4098 +Walterhill,35.9573,-86.3678 +Kenton,36.2022,-89.0155 +Saltillo,35.3822,-88.2393 +Brentwood,35.9917,-86.7758 +Rheatown,36.2312,-82.6957 +Moscow,35.0609,-89.389 +Daus,35.3145,-85.4341 +Walden,35.1635,-85.3098 +Sewanee,35.1975,-85.9213 +Westpoint,35.1331,-87.5336 +Oakfield,35.7134,-88.7939 +Lynchburg,35.2831,-86.3742 +Gray,36.4219,-82.4767 +Coalfield,36.0219,-84.4414 +Friendsville,35.7549,-84.1341 +Whitwell,35.1927,-85.5205 +Rutherford,36.1259,-88.9925 +Mitchellville,36.6341,-86.5401 +Adamsville,35.2559,-88.3863 +Kimmins,35.6203,-87.5378 +Ripley,35.7449,-89.5358 +South Fulton,36.4934,-88.8835 +Pikeville,35.6027,-85.1984 +Bulls Gap,36.2618,-83.0783 +Ellendale,35.2306,-89.8259 +Brownsville,35.5888,-89.258 +Walland,35.732,-83.8069 +Three Way,35.7722,-88.8574 +Jellico,36.5879,-84.1269 +Celina,36.5469,-85.5043 +Blaine,36.1478,-83.694 +Lafayette,36.5242,-86.0307 +Holts Corner,35.6926,-86.6933 +West Shiloh,35.1487,-88.3834 +Carthage,36.2566,-85.943 +Beersheba Springs,35.4589,-85.6689 +Buffalo Valley,36.1414,-85.7867 +Fairfield,36.6209,-86.3426 +Cross Plains,36.5411,-86.675 +Henning,35.682,-89.577 +Dayton,35.4912,-85.012 +Norma,36.337,-84.3855 +Five Points,35.0459,-87.3111 +Como,36.2931,-88.5123 +Petros,36.1028,-84.4503 +Lakesite,35.2027,-85.1412 +Dover,36.4818,-87.8438 +Solway,35.9801,-84.1813 +Bradford,36.0741,-88.8156 +Bon Air,35.9412,-85.3625 +Englewood,35.4226,-84.4887 +Maryville,35.7469,-83.9786 +Beechgrove,35.627,-86.2403 +Rosedale,36.172,-84.3488 +Taft,35.0206,-86.7181 +Roan Mountain,36.1866,-82.0706 +Franklin,35.9214,-86.8524 +Bon Aqua Junction,35.9281,-87.3124 +Etowah,35.3384,-84.5281 +Wrigley,35.8998,-87.3537 +Caryville,36.3251,-84.2199 +Baxter,36.1537,-85.6349 +Goodlettsville,36.3323,-86.7032 +Sweetwater,35.6027,-84.4718 +Oakwood,36.5359,-87.5795 +Selmer,35.1708,-88.5959 +Hampshire,35.5967,-87.2931 +Puryear,36.4413,-88.3324 +McKenzie,36.1371,-88.5076 +Jamestown,36.4319,-84.9341 +Altamont,35.4325,-85.7433 +Hillsboro,35.4085,-85.9639 +Springfield,36.4945,-86.8706 +Collegedale,35.0521,-85.0488 +Garland,35.5825,-89.7526 +Woodbury,35.8247,-86.0725 +Eastview,35.0868,-88.5513 +Belvidere,35.1293,-86.1867 +Mulberry,35.2106,-86.4603 +Mount Vernon,35.4117,-84.3644 +Alnwick,35.7481,-84.0377 +Sunbright,36.2428,-84.6801 +Tiptonville,36.387,-89.4678 +Culleoka,35.4795,-86.9831 +Baneberry,36.0469,-83.2784 +Wartburg,36.1038,-84.5859 +Signal Mountain,35.1448,-85.3457 +Darden,35.6384,-88.2261 +Lutts,35.1512,-87.9381 +Lewisburg,35.4493,-86.7895 +Lone Oak,35.2007,-85.3685 +Prospect,35.0298,-87.0031 +Hornsby,35.2285,-88.8293 +Limestone,36.2282,-82.6304 +Fairmount,35.1844,-85.3302 +Minor Hill,35.0363,-87.1691 +Clifton,35.3792,-87.9927 +Oakland,35.2257,-89.5371 +Colonial Heights,36.4851,-82.507 +Springville,42.5084,-78.6696 +Franklinville,42.3347,-78.4548 +Brewster,41.3969,-73.615 +East Middletown,41.4443,-74.3999 +Bay Shore,40.7317,-73.2505 +Jefferson Heights,42.2361,-73.8822 +Kensington,40.7931,-73.7221 +Hortonville,41.7661,-75.022 +Dundee,42.5236,-76.9775 +Bolivar,42.0685,-78.1662 +Wayland,42.5659,-77.5925 +Fishers Landing,44.2743,-76.0069 +East Greenbush,42.5934,-73.7025 +West Nyack,41.0907,-73.9714 +Shawnee,43.1281,-78.8378 +Malverne,40.6746,-73.6721 +Quiogue,40.8201,-72.628 +Valley Stream,40.6647,-73.7044 +Pomona,41.1892,-74.0543 +Perrysburg,42.4589,-79.0008 +Marcellus,42.9838,-76.3403 +Central Valley,41.3318,-74.121 +Liverpool,43.1062,-76.2093 +Oakdale,40.7373,-73.1345 +Great Neck Plaza,40.7869,-73.726 +Verona,43.1368,-75.5717 +Greenwood Lake,41.2215,-74.2891 +Loon Lake,44.5517,-74.0568 +Canisteo,42.2703,-77.6056 +Brushton,44.8307,-74.5118 +Pamelia Center,44.0409,-75.9016 +Alden,42.8988,-78.4946 +Hannawa Falls,44.6017,-74.9738 +Gates Center,43.1534,-77.6908 +Harrison Grove,43.2806,-78.9662 +Brightwaters,40.7193,-73.2642 +Laurel,40.9728,-72.556 +Shirley,40.796,-72.8747 +Atlanta,42.5542,-77.4725 +New Berlin,42.624,-75.3353 +Antwerp,44.1993,-75.6075 +Port Kent,44.5281,-73.4071 +The Glen,43.584,-73.8629 +South Blooming Grove,41.3735,-74.179 +Green Island,42.7474,-73.6925 +East Glenville,42.8614,-73.9206 +Clifton Springs,42.9608,-77.1348 +Montrose,41.2455,-73.9376 +Poestenkill,42.6941,-73.5545 +Hancock,41.9527,-75.2837 +Mattydale,43.0992,-76.1388 +Corwin,43.2526,-78.6934 +Minoa,43.0742,-76.0085 +Canton,44.6,-75.1703 +Peconic,41.0382,-72.4608 +Noyack,40.9827,-72.335 +Richburg,42.0887,-78.1565 +Plattsburgh,44.6951,-73.4563 +Williamson,43.2232,-77.1851 +East Patchogue,40.7703,-72.9816 +Highland Falls,41.3644,-73.9683 +Interlaken,42.6189,-76.7251 +Hannibal,43.3194,-76.5778 +Wellsburg,42.0127,-76.7298 +Colonial Village,43.1351,-78.9659 +Garden City South,40.7121,-73.6605 +Freeville,42.5114,-76.3457 +Goshen,41.4016,-74.327 +Margaretville,42.1459,-74.6503 +Old Forge,43.706,-74.9722 +Keuka,42.492,-77.1219 +Fort Edward,43.2688,-73.5825 +Hampton Manor,42.6214,-73.7279 +Groton,42.5875,-76.363 +Sands Point,40.8531,-73.7039 +Cooperstown,42.6996,-74.93 +Livingston Manor,41.8935,-74.8265 +Lakeview,40.6775,-73.6493 +Napanoch,41.7514,-74.3729 +Plandome,40.8069,-73.6996 +South Valley Stream,40.6557,-73.7185 +Brasher Falls,44.8096,-74.7789 +Theresa,44.2155,-75.7968 +Syracuse,43.0409,-76.1438 +Plessis,44.2735,-75.8574 +Windsor,42.0776,-75.6405 +North Lynbrook,40.6686,-73.6736 +Port Jervis,41.3782,-74.6909 +Dolgeville,43.1031,-74.7749 +Corfu,42.9611,-78.4026 +Sodus Point,43.2641,-76.9953 +Hampton Bays,40.8692,-72.5227 +Shoreham,40.9571,-72.9072 +Westmoreland,43.1151,-75.4026 +Saint Bonaventure,42.0806,-78.475 +Jewettville,42.7237,-78.6814 +Paul Smiths,44.4342,-74.2533 +Duane Lake,42.7526,-74.1089 +Schuyler Lake,42.7804,-75.0279 +Fishkill,41.5339,-73.8942 +Downsville,42.0818,-74.998 +Blodgett Mills,42.5665,-76.1329 +Marion,43.1408,-77.1951 +Cumminsville,42.5706,-77.7189 +Williston Park,40.7588,-73.6465 +Castleton-on-Hudson,42.5332,-73.7492 +Oceanside,40.6328,-73.6363 +Yorkshire,42.5242,-78.4781 +Sherman,42.159,-79.5946 +Sunset Bay,42.5608,-79.1307 +Hewlett Neck,40.6247,-73.6981 +New Hempstead,41.1488,-74.0485 +Salem,43.1727,-73.3267 +Hamilton,42.8292,-75.5503 +Eagle Valley,41.1548,-74.2268 +Jones Point,41.2862,-73.956 +Copiague,40.6728,-73.3932 +Port Chester,41.0052,-73.668 +Stillwater,42.9468,-73.6441 +Mountain Lodge Park,41.3862,-74.1389 +South Corning,42.1262,-77.0356 +Balmville,41.5281,-74.0234 +Houghton,42.4277,-78.1615 +Ransomville,43.2389,-78.9114 +Herrings,44.0226,-75.6578 +North White Plains,41.0551,-73.7668 +Wading River,40.9464,-72.8231 +Greene,42.3297,-75.7694 +Wurtsboro,41.5761,-74.4856 +Honeoye,42.7901,-77.5149 +Springs,41.0212,-72.1584 +Seneca Falls,42.9101,-76.7967 +Clinton,43.0488,-75.3785 +Evans Mills,44.087,-75.8078 +Canandaigua,42.8885,-77.2805 +Bardonia,41.1129,-73.9823 +Miller Place,40.9374,-72.9864 +De Lancey,42.2056,-74.9707 +Speculator,43.5943,-74.3822 +Westvale,43.04,-76.2177 +Lyons,43.0634,-76.991 +Winthrop,44.8006,-74.8016 +Bellport,40.7546,-72.9424 +Sylvan Beach,43.2061,-75.7234 +Almond,42.3193,-77.7386 +Andes,42.1895,-74.7824 +Cherryplain,42.6292,-73.3582 +Tappan,41.0269,-73.952 +West Sayville,40.7294,-73.105 +Lockport,43.1698,-78.6956 +Beach Ridge,43.0848,-78.8231 +Baldwin,40.6634,-73.6104 +Valhalla,41.0775,-73.778 +Wyandanch,40.7467,-73.3769 +Deposit,42.0634,-75.4224 +Dexter,44.0112,-76.0425 +Glasco,42.0461,-73.9487 +Blasdell,42.7965,-78.8325 +Niverville,42.4484,-73.6496 +West Hampton Dunes,40.7776,-72.7137 +North Bay Shore,40.7601,-73.2618 +Saratoga Springs,43.0674,-73.7775 +Lansing,42.4901,-76.4857 +Lisle,42.3491,-76.0055 +Rome,43.226,-75.4909 +Fleischmanns,42.1552,-74.5335 +Clover Bank,42.7473,-78.8898 +Glenwood Landing,40.8295,-73.6378 +Penn Yan,42.661,-77.0536 +North Patchogue,40.7833,-73.0234 +Manorville,40.8575,-72.7915 +Mechanicville,42.9037,-73.6895 +Shelter Island,41.0585,-72.3143 +Northville,43.2239,-74.1702 +Lyndonville,43.3213,-78.3891 +Cumberland Head,44.7165,-73.3965 +Fire Island,40.6781,-73.0709 +Shinnecock Hills,40.8878,-72.4554 +Croton Heights,41.2468,-73.7835 +Farmingville,40.8389,-73.0401 +Pine Plains,41.978,-73.6601 +Burt,43.3164,-78.7139 +Bergholtz,43.1031,-78.9067 +Great Neck Estates,40.7858,-73.7396 +Locust Valley,40.8782,-73.5884 +Asharoken,40.938,-73.3815 +Yaphank,40.8323,-72.9233 +Cheektowaga,42.9082,-78.7496 +Valley Falls,42.9006,-73.5627 +Dover Plains,41.7396,-73.5735 +Vernon,43.0794,-75.5387 +Poquott,40.9529,-73.0903 +Corning,42.147,-77.0561 +Bedford Center,41.2201,-73.6582 +Akron,43.0179,-78.4978 +Cobleskill,42.6787,-74.486 +Copake Lake,42.1416,-73.5903 +Commack,40.8443,-73.2834 +Avoca,42.4096,-77.4222 +Chadwicks,43.0291,-75.271 +Brighton,43.1175,-77.5835 +Latham,42.747,-73.759 +Cove Neck,40.884,-73.5002 +East Randolph,42.1692,-78.9521 +Wappingers Falls,41.5986,-73.9178 +Baxter Estates,40.8338,-73.6949 +Clayville,42.9747,-75.249 +Colonie,42.7199,-73.8334 +Ellenburg Depot,44.9059,-73.801 +Pultneyville,43.2734,-77.1824 +Westhampton,40.8326,-72.6616 +Flanders,40.8925,-72.6049 +Airmont,41.0992,-74.099 +Brewerton,43.2344,-76.1411 +North Syracuse,43.1339,-76.1306 +Lyncourt,43.0821,-76.1264 +Ellenville,41.7009,-74.3609 +Averill Park,42.6361,-73.5529 +Albion,43.246,-78.1902 +Burdett,42.4169,-76.8441 +Fredonia,42.4407,-79.3319 +Cranberry Lake,44.2063,-74.8426 +Warrens Corners,43.2162,-78.7548 +West Seneca,42.8375,-78.7508 +Pine Valley,42.2273,-76.8469 +Bath,42.3363,-77.318 +Pelham Manor,40.893,-73.8057 +Cattaraugus,42.33,-78.8671 +Victory Mills,43.0879,-73.594 +Madrid,44.7483,-75.1299 +South Lima,42.8575,-77.6761 +North Evans,42.697,-78.9414 +Piffard,42.8319,-77.8584 +East Massapequa,40.6745,-73.4357 +Oyster Bay,40.8663,-73.5323 +Putnam Lake,41.4747,-73.5483 +Homer,42.6372,-76.1848 +Oxford,42.4412,-75.5959 +Mount Ivy,41.1926,-74.0297 +Viola,41.1287,-74.0855 +Centereach,40.8696,-73.0808 +Chestertown,43.6461,-73.7945 +Forestville,42.4691,-79.1755 +Salisbury,40.7454,-73.5605 +Swormville,43.0384,-78.6973 +Newfane,43.2857,-78.694 +Cato,43.168,-76.5728 +Lake Katrine,41.9863,-73.9895 +Sanborn,43.1451,-78.8777 +Savona,42.283,-77.2238 +Utica,43.0961,-75.226 +Nassau Shores,40.662,-73.4401 +Fair Haven,43.3262,-76.7044 +Chaumont,44.0675,-76.1301 +Arden,41.2745,-74.1529 +Ticonderoga,43.8406,-73.424 +Holland,42.6375,-78.5517 +Mooers,44.9638,-73.5877 +Dresden,42.6836,-76.9571 +Lakewood,42.0991,-79.32 +Thousand Island Park,44.2888,-76.0259 +North Sea,40.933,-72.4047 +Websters Crossing,42.6661,-77.6373 +Russell Gardens,40.7809,-73.7254 +Eldred,41.527,-74.8841 +Sabattis,44.0809,-74.7027 +Lake Grove,40.8586,-73.1168 +Center Moriches,40.8015,-72.796 +Clayton,44.237,-76.0826 +Hopewell Junction,41.5787,-73.8078 +Jordan,43.0671,-76.4728 +Nanuet,41.0957,-74.0155 +Hoosick Falls,42.9009,-73.35 +Cutchogue,41.0167,-72.4872 +Glenville,41.0657,-73.8407 +Sound Beach,40.9578,-72.9726 +Lakeland,43.0909,-76.2426 +South Salem,41.2723,-73.5529 +Brookville,40.8123,-73.5696 +Star Lake,44.1613,-75.0363 +Leonardsville,42.8087,-75.2527 +Laurens,42.5313,-75.0888 +North Hills,40.7765,-73.6778 +Canaseraga,42.4618,-77.7773 +Jefferson Valley,41.3381,-73.7907 +West Glens Falls,43.3019,-73.6873 +Nelsonville,41.4291,-73.9466 +Cazenovia,42.9278,-75.8514 +Fort Ann,43.4146,-73.4907 +Oriskany Falls,42.938,-75.4636 +Woodsville,42.579,-77.7338 +Mount Morris,42.7237,-77.8752 +Bayport,40.746,-73.0546 +Nunda,42.58,-77.9379 +North Boston,42.6773,-78.7797 +Brandreth,43.9376,-74.8527 +Sinclairville,42.2653,-79.2591 +Le Roy,42.978,-77.9899 +Hawthorne,41.1035,-73.7968 +Orchard Park,42.7627,-78.7438 +Suffern,41.1138,-74.1421 +Phelps,42.958,-77.0622 +Arkport,42.3926,-77.6954 +Mexico,43.4652,-76.2326 +Toddville,41.2937,-73.8885 +Pittsford,43.0901,-77.5167 +East Syracuse,43.0637,-76.0697 +Raymondville,44.8381,-74.978 +Otego,42.3928,-75.1801 +Port Washington North,40.8433,-73.7014 +Schoharie,42.6664,-74.3137 +Head of the Harbor,40.8981,-73.1624 +Munnsville,42.9766,-75.5866 +Saint James,40.8761,-73.1521 +Shrub Oak,41.3255,-73.8295 +Crown Heights,41.6416,-73.9287 +Greece,43.2095,-77.7027 +New Rochelle,40.9305,-73.7836 +Newport,43.1859,-75.0151 +Broadalbin,43.056,-74.1964 +Old Brookville,40.8332,-73.6039 +Marathon,42.4439,-76.0351 +Sag Harbor,40.997,-72.2892 +Cragsmoor,41.6655,-74.3912 +Byersville,42.5838,-77.7914 +Stony Point,41.2294,-73.9966 +Nashville,43.0773,-78.8659 +Arlington,41.6958,-73.8989 +Levittown,40.7241,-73.5125 +Old Westbury,40.7866,-73.5974 +Salisbury Mills,41.4308,-74.1098 +Montgomery,41.5216,-74.2388 +Newark,43.0418,-77.093 +Afton,42.2291,-75.5247 +Lodi,42.6135,-76.8225 +Sparkill,41.0289,-73.9333 +Pine Hill,42.1308,-74.4668 +Warwick,41.2551,-74.3551 +Chestnut Ridge,41.0829,-74.0551 +Inwood,40.6218,-73.7507 +Waterloo,42.9048,-76.8592 +Addison,42.1063,-77.232 +Accord,41.7972,-74.2319 +Candor,42.2284,-76.3366 +Slaterville Springs,42.3956,-76.3505 +Dobbs Ferry,41.0127,-73.8698 +Delhi,42.2785,-74.915 +Monticello,41.6519,-74.6874 +East Branch,41.9884,-75.1338 +Croghan,43.8947,-75.3914 +Ossining,41.1609,-73.8712 +North Creek,43.6923,-73.9835 +Woodmere,40.6374,-73.7219 +Medford,40.822,-72.9859 +Newark Valley,42.2229,-76.1867 +Hamburg,42.7233,-78.8348 +North Rose,43.1872,-76.8864 +Avon,42.9129,-77.7464 +Hillside Manor,40.7504,-73.6729 +Lake Mohegan,41.3165,-73.8475 +Cohocton,42.4999,-77.4999 +Morrisonville,44.6922,-73.5505 +Brier Hill,44.5314,-75.6627 +Glen Head,40.845,-73.618 +New York Mills,43.1007,-75.2932 +Great Bend,44.0197,-75.7075 +Colton,44.5593,-74.9433 +South Dayton,42.3628,-79.051 +Twin Lakes Village,41.2993,-73.5698 +Billington Heights,42.7862,-78.6237 +Pine Bush,41.6094,-74.2966 +Middletown,41.4458,-74.4228 +Lindenhurst,40.6858,-73.3709 +Holcomb,42.8991,-77.4244 +Geneseo,42.799,-77.8095 +Little Valley,42.2494,-78.7988 +Philmont,42.2477,-73.6463 +Port Dickinson,42.136,-75.8939 +Victor,42.982,-77.4097 +Brookhaven,40.7793,-72.9107 +Lynbrook,40.6579,-73.6742 +Maybrook,41.4881,-74.2131 +Schenectady,42.8025,-73.9276 +Mastic,40.8095,-72.8478 +Port Ewen,41.9048,-73.9776 +Phoenicia,42.079,-74.3089 +New Woodstock,42.8484,-75.8544 +Cairo,42.3053,-74.0101 +Argyle,43.2363,-73.4907 +Buffalo,42.9017,-78.8487 +Big Moose,43.8184,-74.9152 +Rushford,42.389,-78.2523 +Weston Mills,42.0752,-78.3727 +West Bay Shore,40.7079,-73.2719 +Hartwick,42.6587,-75.0611 +Vails Gate,41.4589,-74.0533 +Walden,41.5603,-74.1879 +Roslyn,40.7991,-73.6491 +Deer Park,40.7623,-73.3219 +Witherbee,44.0837,-73.5371 +Tarrytown,41.0647,-73.8673 +Hagaman,42.9728,-74.1545 +Flower Hill,40.8075,-73.6755 +Schuylerville,43.1015,-73.5808 +Albertson,40.7715,-73.6482 +Fabius,42.8347,-75.9847 +Branchport,42.5987,-77.1539 +Frankfort,43.0384,-75.0724 +Fishers Island,41.2702,-71.9879 +Armor,42.7406,-78.7989 +Long Lake,43.9574,-74.4397 +Schroon Lake,43.8345,-73.7647 +Woodbourne,41.7598,-74.594 +Liberty,41.7963,-74.7432 +Beaver Dam Lake,41.4441,-74.1178 +Hyde Park,41.7829,-73.9364 +Queens,40.7498,-73.7976 +Wesley Hills,41.1579,-74.0768 +Petersburg,42.7495,-73.3401 +Huntington Station,40.8446,-73.405 +Granville,43.4081,-73.2617 +Harbor Isle,40.6019,-73.6647 +Plainedge,40.724,-73.477 +Scarborough,41.1359,-73.8585 +Wanakah,42.7435,-78.9027 +Palenville,42.1773,-74.0229 +Carlisle Gardens,43.1792,-78.6559 +Katonah,41.2559,-73.6856 +East Quogue,40.8489,-72.5783 +Setauket,40.9351,-73.1184 +Bedford Hills,41.2362,-73.6959 +Castile,42.6312,-78.0525 +Plandome Manor,40.8146,-73.6979 +Thiells,41.2067,-74.0122 +Carle Place,40.75,-73.6122 +Glens Falls,43.3109,-73.6459 +Middle Island,40.8857,-72.9454 +New Milford,41.2345,-74.4138 +Manchester,42.9681,-77.2316 +Chatham,42.3621,-73.5976 +Plandome Heights,40.8021,-73.7049 +Harbor Hills,40.7881,-73.7492 +Alpine,42.3131,-76.7241 +Freeport,40.6515,-73.585 +Riverhead,40.9465,-72.6743 +Saugerties,42.075,-73.9484 +Edenville,41.2759,-74.411 +Tillson,41.8316,-74.0696 +Thornwood,41.1187,-73.7796 +Tupper Lake,44.2326,-74.462 +Hartsdale,41.0153,-73.8035 +Cold Spring,41.4191,-73.9545 +Hastings-on-Hudson,40.9902,-73.8801 +Baiting Hollow,40.9645,-72.7402 +Rhinecliff,41.9223,-73.9441 +South Farmingdale,40.7175,-73.4471 +Mastic Beach,40.7667,-72.842 +Horseheads,42.1689,-76.8299 +Lloyd Harbor,40.9139,-73.4618 +Poland,43.226,-75.0612 +Pelham,40.9116,-73.8075 +Moravia,42.712,-76.422 +Islandia,40.8068,-73.1711 +Sterling Forest,41.1826,-74.3188 +Malone,44.849,-74.2889 +Atlantic Beach,40.5894,-73.7296 +Angola,42.6378,-79.0295 +Red Hook,41.9962,-73.8768 +Cohoes,42.7732,-73.7077 +North Wantagh,40.6983,-73.5086 +Red Mills,42.2209,-73.7118 +Manhasset Hills,40.7592,-73.681 +Batavia,42.9987,-78.1802 +Southold,41.0601,-72.4261 +Erin,42.1844,-76.6712 +Pleasantville,41.1378,-73.7827 +Tuscarora,42.6345,-77.8691 +Terryville,40.909,-73.0492 +White Plains,41.022,-73.7548 +Middleport,43.2118,-78.4757 +Port Henry,44.0465,-73.46 +Huntington,40.8781,-73.4076 +Elbridge,43.0366,-76.4433 +Hauppauge,40.8217,-73.2119 +Holley,43.2247,-78.0292 +Wadsworth,42.8214,-77.8939 +Verplanck,41.2558,-73.9585 +Pine Aire,40.7707,-73.274 +Ontario,43.2176,-77.2794 +Belfast,42.3399,-78.1184 +Port Gibson,43.0334,-77.1576 +Bronxville,40.9394,-73.8263 +Lattingtown,40.8922,-73.5966 +West Winfield,42.8838,-75.1914 +Schenevus,42.5497,-74.827 +Sherrill,43.0704,-75.5992 +Massapequa Park,40.6816,-73.4496 +Walton,42.1688,-75.1304 +Bayville,40.9077,-73.5602 +East Atlantic Beach,40.5876,-73.7092 +Bliss,42.5801,-78.2538 +Grandyle Village,42.9866,-78.9524 +Waterford,42.7917,-73.6789 +Chenango Bridge,42.1716,-75.8586 +Watertown,43.9734,-75.9094 +East Setauket,40.9415,-73.1059 +Caroga Lake,43.1353,-74.481 +Loudonville,42.7048,-73.7548 +Painted Post,42.1634,-77.0925 +Salamanca,42.1631,-78.7233 +Mount Kisco,41.2018,-73.7282 +Jamesport,40.9546,-72.5807 +Remsenburg,40.8076,-72.7087 +South Hempstead,40.6814,-73.6233 +Churchville,43.1036,-77.8824 +Altmar,43.5111,-76.0037 +Medina,43.2197,-78.3888 +Jeffersonville,41.7799,-74.9298 +Walton Park,41.3118,-74.2249 +Ladentown,41.1859,-74.0674 +Elmsford,41.0541,-73.8143 +West End,42.4667,-75.0969 +Celoron,42.1053,-79.2777 +McGraw,42.5938,-76.0975 +New City,41.1543,-73.9909 +DeRuyter,42.7587,-75.8867 +Alexander,42.902,-78.2591 +Pike,42.5569,-78.1495 +Orangeburg,41.0487,-73.9407 +Clarence Center,43.0085,-78.6308 +Olcott,43.3302,-78.7104 +Esperance,42.765,-74.2589 +Haviland,41.7681,-73.9007 +Rye Brook,41.0303,-73.6865 +University Gardens,40.7752,-73.728 +Little Falls,43.0452,-74.8566 +Allegany,42.0917,-78.4927 +Roosevelt,40.6797,-73.5837 +Coxsackie,42.3561,-73.808 +Calcium,44.0401,-75.8468 +Heuvelton,44.617,-75.4047 +Sodus,43.2371,-77.0628 +Waccabuc,41.2907,-73.5954 +Westmere,42.6883,-73.8744 +North Bellport,40.7868,-72.9457 +Washington Heights,41.4692,-74.4179 +Central Islip,40.7837,-73.1945 +Westbury,40.7599,-73.5891 +Freedom Plains,41.6695,-73.7974 +Northport,40.9036,-73.3446 +Pavilion,42.8793,-78.0221 +East Moriches,40.8097,-72.7581 +Kysorville,42.6528,-77.7949 +Watchtower,41.6371,-74.2633 +Lacona,43.6434,-76.0666 +Catskill,42.2145,-73.8656 +Quogue,40.8215,-72.5987 +Auburn,42.9338,-76.5685 +Hillside,41.9177,-74.0336 +Upper Brookville,40.8476,-73.5627 +Lake Erie Beach,42.6242,-79.0786 +Roessleville,42.6951,-73.8071 +Saranac Lake,44.3246,-74.1315 +Clark Mills,43.0895,-75.3757 +Lima,42.9069,-77.6123 +Shokan,41.9809,-74.213 +Bergen,43.0825,-77.9425 +Salt Point,41.8061,-73.79 +Newburgh,41.5037,-74.0205 +Strykersville,42.708,-78.4483 +Mill Neck,40.8839,-73.5582 +Rocky Point,40.9357,-72.9364 +Waterville,42.9306,-75.3802 +Sharon Springs,42.793,-74.6128 +New Square,41.141,-74.0294 +Philadelphia,44.154,-75.7098 +Port Jefferson Station,40.926,-73.0651 +Ludlowville,42.5537,-76.5386 +Bay Wood,40.7533,-73.29 +Smithtown,40.8591,-73.2156 +Potsdam,44.6699,-74.9831 +Hillside Lake,41.6191,-73.7944 +Pendleton Center,43.107,-78.7728 +Woodridge,41.7126,-74.5742 +Sea Cliff,40.8441,-73.6442 +Tahawus,44.0506,-74.051 +Westport,44.1835,-73.4389 +Naples,42.6177,-77.4021 +East Islip,40.7275,-73.1861 +Clarkson,43.2398,-77.9162 +Stony Brook,40.906,-73.1278 +Lake Placid,44.2838,-73.9855 +Shelter Island Heights,41.0745,-72.3434 +Nicholville,44.6973,-74.6594 +Cayuga,42.9191,-76.7265 +Floral Park,40.7226,-73.7029 +Big Tree,42.7698,-78.8114 +East Hills,40.7958,-73.6292 +Merrick,40.6515,-73.5535 +Nesconset,40.8467,-73.1522 +Greenvale,40.8119,-73.6263 +Delanson,42.7474,-74.1841 +Cambridge,43.0279,-73.3813 +Amityville,40.6696,-73.4156 +Willsboro,44.3643,-73.3934 +Caledonia,42.9755,-77.8571 +Hall,42.7965,-77.0679 +Lorenz Park,42.2669,-73.77 +Scotts Corners,41.1889,-73.5561 +Hurley,41.9123,-74.0591 +Hemlock,42.7938,-77.6074 +Dansville,42.5625,-77.6969 +Morrisville,42.8987,-75.6448 +Cuylerville,42.7777,-77.8737 +Hoffman,43.0695,-78.8228 +Williamsville,42.9623,-78.7418 +Highland Mills,41.347,-74.1263 +Barnum Island,40.605,-73.6438 +Rockville Centre,40.6643,-73.6383 +Munsey Park,40.799,-73.6799 +Oyster Bay Cove,40.857,-73.5038 +Pomona Heights,41.1662,-74.0688 +Hailesboro,44.3098,-75.4357 +Croton-on-Hudson,41.2005,-73.9002 +Parc,44.6639,-73.453 +North Haven,41.023,-72.314 +North Collins,42.5948,-78.9369 +Glen Park,44.0016,-75.9549 +Saddle Rock Estates,40.7938,-73.7415 +Wrights Corners,43.2226,-78.677 +Millbrook,41.7841,-73.694 +Sherburne,42.6807,-75.4964 +Pond Eddy,41.4404,-74.8232 +Randolph,42.1612,-78.9802 +Otisville,41.4714,-74.5397 +Kingston,41.9295,-73.9968 +Romulus,42.7517,-76.8351 +Elmira,42.0938,-76.8097 +Mayville,42.2532,-79.5031 +Hillcrest,41.1298,-74.035 +Monroe,41.3198,-74.1848 +Germantown,42.1369,-73.8862 +Amsterdam,42.942,-74.1907 +Copenhagen,43.8934,-75.6726 +Herricks,40.7567,-73.6635 +Saint Johnsburg,43.0887,-78.8898 +Brinckerhoff,41.5511,-73.8697 +Peekskill,41.2883,-73.9227 +Lewiston,43.1724,-79.04 +Hammond,44.4464,-75.6935 +Ridge,40.9068,-72.8816 +Stewart Manor,40.7202,-73.6853 +Central Bridge,42.7068,-74.3473 +Harrisville,44.1532,-75.3211 +South Colton,44.5106,-74.8877 +Woodsburgh,40.6215,-73.7068 +Wilson,43.3097,-78.826 +Richmondville,42.6335,-74.5628 +Dix Hills,40.8035,-73.337 +Morristown,44.5842,-75.6453 +Southfields,41.2448,-74.1754 +Ogdensburg,44.7088,-75.4717 +Fultonville,42.9463,-74.3705 +Uniondale,40.7176,-73.5947 +Matinecock,40.864,-73.5817 +Scio,42.1732,-77.9795 +Henderson,43.8481,-76.185 +Chautauqua,42.21,-79.469 +Aquebogue,40.9425,-72.6149 +Lyons Falls,43.6171,-75.3619 +Portville,42.0368,-78.3373 +Elmont,40.7033,-73.7078 +Pearl River,41.0615,-74.0047 +Hornell,42.3258,-77.6605 +Great Neck Gardens,40.797,-73.7229 +Lyndon,43.0292,-76.0541 +Constableville,43.5649,-75.4281 +Odessa,42.335,-76.7881 +Model City,43.1851,-78.9837 +Herkimer,43.0282,-74.9928 +New Paltz,41.7495,-74.0809 +Depauville,44.1425,-76.0452 +Loch Sheldrake,41.7733,-74.6558 +Albany,42.6664,-73.7987 +Wainscott,40.9591,-72.2507 +Alexandria Bay,44.34,-75.9161 +Delevan,42.4913,-78.4796 +Bedford,41.1943,-73.6468 +Wyoming,42.824,-78.0842 +Breesport,42.1816,-76.7358 +Middleville,43.1384,-74.9707 +Eggertsville,42.9665,-78.8065 +Cornwall-on-Hudson,41.4368,-74.0145 +Saddle Rock,40.7947,-73.7494 +Pottersville,43.7363,-73.8212 +Dryden,42.4912,-76.2996 +Kiryas Joel,41.3403,-74.1658 +Olean,42.0819,-78.4321 +Farmingdale,40.7328,-73.4465 +Gorham,42.7996,-77.1347 +Warrensburg,43.5002,-73.7791 +Lincoln Park,41.9559,-74.0016 +Bolton Landing,43.5614,-73.6588 +Ridgewood,43.2503,-78.6473 +Niagara Falls,43.0921,-79.0147 +Barneveld,43.2738,-75.1891 +Gouverneur,44.3367,-75.4666 +Lackawanna,42.8182,-78.8324 +West Haverstraw,41.2063,-73.9883 +Endicott,42.098,-76.0639 +New Windsor,41.4731,-74.0273 +Blue Point,40.7518,-73.0352 +Redford,44.6063,-73.8113 +Lime Lake,42.4327,-78.4808 +Pierrepont Manor,43.7374,-76.0596 +Buchanan,41.2643,-73.9465 +Selden,40.8699,-73.0462 +Andover,42.1575,-77.7955 +South New Berlin,42.5295,-75.3852 +Melrose Park,42.9085,-76.5263 +Bridgehampton,40.9427,-72.3101 +Livonia,42.8219,-77.6688 +Camden,43.3365,-75.7478 +Palisades,41.0112,-73.9135 +Dalton,42.5422,-77.952 +Unadilla,42.3273,-75.3156 +Oak Beach,40.6393,-73.2885 +Red Creek,43.2488,-76.7225 +Vista,41.2023,-73.5101 +Saint Johnsville,43.001,-74.6781 +Rochester,43.168,-77.6162 +Whitney Point,42.3303,-75.9679 +Ilion,43.0114,-75.0396 +Bridgewater,42.8787,-75.252 +Porter Center,43.2495,-78.9575 +Ellicottville,42.2746,-78.6722 +Fort Salonga,40.906,-73.2992 +Stella Niagara,43.202,-79.0423 +West Gilgo Beach,40.6129,-73.4196 +Roslyn Heights,40.7787,-73.6396 +Cold Brook,43.2398,-75.0389 +West Babylon,40.7112,-73.3567 +Manorhaven,40.8399,-73.7127 +Babylon,40.6949,-73.3271 +Watervliet,42.7243,-73.7068 +Macedon,43.0683,-77.3036 +Appleton,43.3276,-78.6481 +South Fallsburg,41.7218,-74.635 +Ocean Beach,40.6463,-73.1565 +Roslyn Estates,40.7937,-73.6611 +Valley Cottage,41.116,-73.9436 +Hempstead,40.7043,-73.6193 +Amenia,41.8493,-73.5541 +Cayuga Heights,42.468,-76.4874 +Ravena,42.4755,-73.8113 +Aurora,42.7511,-76.6994 +Websters Corners,42.7834,-78.7464 +Lake View,42.7112,-78.9361 +Remsen,43.3282,-75.187 +Country Knolls,42.9141,-73.8062 +Huntington Bay,40.9014,-73.4163 +New York,40.6943,-73.9249 +Leeds,42.2529,-73.894 +Old Bethpage,40.7557,-73.4544 +Scranton,42.7406,-78.8342 +Tomkins Cove,41.257,-73.9835 +Keeseville,44.5035,-73.4812 +Tallman,41.1112,-74.0999 +Whitesboro,43.124,-75.2966 +Southampton,40.8777,-72.4004 +Scarsdale,40.9902,-73.7773 +Endwell,42.1185,-76.0219 +West Chazy,44.8178,-73.5116 +Narrowsburg,41.6006,-75.0579 +Bridgeport,43.1545,-75.9734 +Glenfield,43.7103,-75.4021 +East Farmingdale,40.7336,-73.4169 +Florida,41.3312,-74.3533 +East Wilson,43.2412,-78.7592 +Hobart,42.3715,-74.6691 +Morris,42.548,-75.2455 +Richfield Springs,42.8537,-74.9862 +Rouses Point,44.9933,-73.3633 +Massapequa,40.6676,-73.4706 +North Babylon,40.7311,-73.3251 +Bronx,40.8501,-73.8662 +Town Line,42.8858,-78.561 +Whitesville,42.0378,-77.7625 +Friendship,42.2056,-78.1418 +Amagansett,40.9844,-72.1326 +Fulton,43.3171,-76.4162 +Newton Falls,44.2106,-74.9891 +Chateaugay,44.9266,-74.0803 +Shenorock,41.3306,-73.7409 +Zena,42.021,-74.0855 +Towers Corners,43.2581,-79.0092 +Briarcliff Manor,41.14,-73.844 +Wantagh,40.6686,-73.5104 +Seaford,40.6678,-73.4922 +Spring Brook,42.8181,-78.6756 +West Valley,42.4036,-78.6115 +Cherry Creek,42.2959,-79.1008 +Prattsville,42.33,-74.4213 +Alder Creek,43.4234,-75.2279 +North Gates,43.1718,-77.7064 +Irvington,41.0349,-73.8661 +Vestal Center,42.0329,-76.0149 +Plattekill,41.6205,-74.0606 +North Valley Stream,40.684,-73.7077 +East Norwich,40.8496,-73.5288 +Montour Falls,42.3499,-76.8483 +Washingtonville,41.4296,-74.1578 +Harriman,41.3088,-74.1444 +Poughkeepsie,41.6949,-73.921 +Panama,42.0747,-79.485 +Firthcliffe,41.4409,-74.0353 +Hadley,43.3095,-73.8461 +Bay View,42.7792,-78.8578 +South Huntington,40.8225,-73.3921 +Clyde,43.0839,-76.8707 +Lido Beach,40.5904,-73.6121 +Mineola,40.7469,-73.6392 +Patchogue,40.7621,-73.0185 +Duanesburg,42.7636,-74.135 +Sagaponack,40.9302,-72.2726 +Riverside,42.1553,-77.0802 +Sayville,40.7478,-73.084 +Turin,43.6292,-75.4107 +East Avon,42.9128,-77.7072 +Livonia Center,42.821,-77.6421 +Eastport,40.8407,-72.7251 +Bay Park,40.6302,-73.667 +Clarence,42.9739,-78.593 +Johnson City,42.123,-75.9624 +Stannards,42.0741,-77.9123 +Marlboro,41.6028,-73.9774 +North Great River,40.7599,-73.1678 +Gardiner,41.6795,-74.1479 +Constantia,43.2548,-76.0109 +Crugers,41.2279,-73.926 +Spencer,42.2144,-76.4964 +Lake Carmel,41.4612,-73.6681 +Brockport,43.2136,-77.9404 +Tonawanda,43.0105,-78.8805 +Lake Ronkonkoma,40.8308,-73.1112 +Baldwin Harbor,40.6296,-73.6025 +East White Plains,41.039,-73.7476 +Waddington,44.8591,-75.1969 +Mamaroneck,40.9469,-73.7316 +Grand View-on-Hudson,41.0627,-73.9208 +East Rochester,43.1121,-77.4869 +Greenport,41.1031,-72.3669 +Depew,42.9117,-78.7044 +Nichols,42.02,-76.3704 +Mohawk,43.0104,-75.0075 +Rye,40.969,-73.6878 +West Hempstead,40.6959,-73.6507 +Adams,43.8102,-76.023 +South Nyack,41.0798,-73.9127 +Ovid,42.6756,-76.8229 +Irondequoit,43.2096,-77.5705 +Brocton,42.3899,-79.4429 +New Hartford,43.071,-75.2886 +Nissequogue,40.9023,-73.1923 +Mayfield,43.1028,-74.2661 +Weedsport,43.0482,-76.5637 +Haverstraw,41.1934,-73.952 +Norwood,44.7481,-74.997 +Gordon Heights,40.8645,-72.9678 +Retsof,42.8325,-77.8757 +Fayetteville,43.0308,-75.9985 +South Hill,42.4113,-76.4883 +Hermon,44.467,-75.2311 +Machias,42.4156,-78.4882 +Chittenango,43.0462,-75.8749 +Old Field,40.9614,-73.1324 +Prattsburgh,42.5248,-77.2884 +Fillmore,42.4669,-78.1107 +Speonk,40.8195,-72.7054 +Fonda,42.9536,-74.3721 +North Hornell,42.3455,-77.6606 +Worcester,42.6018,-74.749 +Calverton,40.9163,-72.7645 +Bethpage,40.7495,-73.4856 +Fort Montgomery,41.3402,-73.9853 +Cape Vincent,44.1263,-76.3302 +Harrison,41.0233,-73.7192 +Cleveland,43.2398,-75.8847 +Campbell,42.2351,-77.1937 +Edgewater,43.0464,-78.9098 +Tuxedo Park,41.2008,-74.206 +Round Lake,42.9376,-73.7958 +Palmyra,43.0609,-77.2298 +Farnham,42.5951,-79.0809 +Rodman,43.8512,-75.9406 +Elba,43.0768,-78.1889 +North Chili,43.1198,-77.8056 +Purchase,41.0409,-73.7146 +Sauquoit,43.0042,-75.2599 +Edwards,44.3232,-75.2518 +Fowlerville,42.894,-77.848 +Athens,42.2695,-73.8104 +Cedarville,42.9306,-75.1127 +Pulaski,43.5656,-76.127 +Hamlin,43.3023,-77.9218 +Chappaqua,41.1601,-73.7672 +Menands,42.691,-73.7271 +Boonville,43.4813,-75.3296 +Cassville,42.9459,-75.2543 +Norfolk,44.7922,-74.9866 +Richville,44.4151,-75.3924 +Ronkonkoma,40.804,-73.1258 +Armonk,41.132,-73.7138 +Lake George,43.426,-73.715 +Van Cortlandtville,41.3148,-73.9037 +Brewster Hill,41.4228,-73.6069 +Woodstock,42.0414,-74.1178 +Cortland,42.6004,-76.1784 +Sandy Creek,43.6434,-76.0863 +Bellvale,41.2504,-74.3107 +Palatine Bridge,42.9143,-74.5747 +Norwich,42.5333,-75.5227 +Hudson Falls,43.3042,-73.5818 +Millerton,41.9531,-73.5112 +Hunter,42.2109,-74.216 +Bowmansville,42.9384,-78.6848 +Wynantskill,42.6881,-73.6467 +Bellerose,40.7242,-73.7167 +Durhamville,43.1225,-75.665 +Falconer,42.119,-79.1973 +Fairview,41.0442,-73.7963 +Honeoye Falls,42.9557,-77.5903 +Garden City,40.7266,-73.6447 +Lonelyville,40.6409,-73.1748 +Nassau,42.514,-73.6108 +Northwest Harbor,41.0053,-72.222 +Millport,42.2681,-76.8363 +New Cassel,40.76,-73.5649 +Port Jefferson,40.9465,-73.0579 +Baldwinsville,43.157,-76.3318 +Centerport,40.8943,-73.3714 +Hillburn,41.1264,-74.1705 +Red Oaks Mill,41.6522,-73.8746 +Napeague,40.995,-72.0707 +Youngstown,43.2486,-79.0444 +Coram,40.8813,-73.0059 +Village Green,43.1324,-76.3108 +Canastota,43.0835,-75.7558 +Walker Valley,41.6386,-74.3775 +Saltaire,40.6389,-73.1948 +Champlain,44.9882,-73.4408 +Barryville,41.4776,-74.911 +Washington Mills,43.0479,-75.2811 +Seneca Knolls,43.12,-76.2873 +Silver Springs,42.6605,-78.0855 +Gansevoort,43.1962,-73.6518 +High Falls,41.8275,-74.1184 +Franklin Square,40.7002,-73.6775 +Willsboro Point,44.4087,-73.3782 +Ballston Spa,43.0068,-73.8524 +Spackenkill,41.6549,-73.9102 +Hampton,43.5248,-73.2518 +Fairport,43.099,-77.4427 +Scottsburg,42.6639,-77.7124 +Windham,42.315,-74.2482 +Hogansburg,44.9739,-74.6632 +Leicester,42.7709,-77.8969 +Westfield,42.3219,-79.5747 +Oswego,43.4516,-76.5005 +Woodbury,41.3284,-74.1004 +Smyrna,42.6869,-75.5688 +Yorkville,43.1124,-75.2739 +Unionville,41.3013,-74.5619 +Forest Home,42.453,-76.4702 +Hilton,43.29,-77.7925 +Saint Regis Falls,44.6764,-74.5309 +Linwood,42.8967,-77.9476 +South Lockport,43.1377,-78.6864 +Moriches,40.8068,-72.8235 +Furnace Woods,41.2648,-73.886 +East Marion,41.1291,-72.342 +Monsey,41.1181,-74.0681 +North Tonawanda,43.0457,-78.8659 +North Massapequa,40.7031,-73.4679 +Laurel Hollow,40.8541,-73.4755 +Port Washington,40.8268,-73.6764 +Annsville,41.3076,-73.9279 +Wisner,41.2709,-74.3265 +Elma Center,42.8282,-78.6343 +Jamestown,42.0975,-79.2366 +East Nassau,42.533,-73.5085 +Wallkill,41.6085,-74.1646 +Roe Park,41.3065,-73.8835 +Titusville,41.6663,-73.8633 +Kerhonkson,41.7797,-74.2956 +Upper Nyack,41.1143,-73.9057 +East Shoreham,40.946,-72.8812 +Webster,43.215,-77.4225 +Syosset,40.8157,-73.502 +Sloatsburg,41.162,-74.1902 +Greenwich,43.0864,-73.4966 +Yorktown Heights,41.2697,-73.7755 +Milford,42.5905,-74.9469 +West Hurley,42.0083,-74.1121 +Sidney,42.3067,-75.3984 +Northampton,40.879,-72.6825 +Rhinebeck,41.9294,-73.9081 +Amity,41.2682,-74.4549 +East Meadow,40.7197,-73.5604 +South Otselic,42.6467,-75.7813 +Camillus,43.0385,-76.3103 +Molyneaux Corners,43.2103,-78.7973 +Parish,43.4058,-76.1262 +Montauk,41.0471,-71.9449 +West Falls,42.7014,-78.6822 +Bellerose Terrace,40.7221,-73.7252 +Angola on the Lake,42.655,-79.0523 +De Kalb Junction,44.5049,-75.2851 +Tivoli,42.0587,-73.9119 +East Rockaway,40.6432,-73.6672 +Crystal Beach,42.8095,-77.2582 +Kaser,41.1213,-74.0685 +Crompond,41.2908,-73.8356 +Gang Mills,42.1534,-77.123 +Tannersville,42.1937,-74.1353 +Apalachin,42.0705,-76.1626 +Castorland,43.8862,-75.5164 +Harris Hill,42.973,-78.6793 +Oneonta,42.4551,-75.0666 +Bloomingburg,41.552,-74.4437 +Centre Island,40.9018,-73.5211 +Mineville,44.0933,-73.5246 +Tribes Hill,42.9479,-74.2988 +Owego,42.1047,-76.263 +West Carthage,43.973,-75.6219 +Port Leyden,43.5838,-75.3413 +Wampsville,43.0772,-75.7097 +Wheatley Heights,40.7625,-73.3703 +Montebello,41.1317,-74.1134 +Middleburgh,42.598,-74.3298 +Lyon Mountain,44.7249,-73.8823 +Silver Creek,42.5426,-79.1677 +Sackets Harbor,43.9418,-76.1182 +Barker,43.3282,-78.5535 +Kenmore,42.9646,-78.8713 +Smallwood,41.6595,-74.8202 +Belmont,42.2226,-78.0328 +Lorraine,43.7655,-75.9523 +Greenlawn,40.863,-73.3642 +Scottsville,43.0221,-77.7555 +Long Beach,40.5887,-73.666 +Lowville,43.7867,-75.4874 +Kings Park,40.8887,-73.2452 +Belle Terre,40.9607,-73.0672 +Milton,41.6587,-73.9664 +Bellmore,40.6569,-73.5285 +Holbrook,40.7944,-73.0707 +Hammondsport,42.4082,-77.2236 +Rock Hill,41.615,-74.5827 +Perry,42.7174,-78.0064 +East Garden City,40.7308,-73.5981 +Piermont,41.0423,-73.915 +Arcade,42.5317,-78.4327 +Galway,43.0185,-74.0318 +Gainesville,42.6415,-78.1347 +Nedrow,42.9779,-76.1417 +Sand Ridge,43.2559,-76.2317 +Mount Upton,42.4265,-75.3832 +Griffins Mills,42.7239,-78.6672 +Pine Island,41.2979,-74.4593 +Alfred,42.2543,-77.7897 +Sloan,42.8921,-78.7918 +Copake Falls,42.1202,-73.5247 +East Williston,40.7608,-73.6336 +Shortsville,42.9555,-77.2228 +Gilbertsville,42.4694,-75.3226 +Portageville,42.5698,-78.04 +Port Byron,43.0365,-76.6261 +Bohemia,40.7717,-73.1271 +Tuckahoe,40.953,-73.823 +Valatie,42.4134,-73.6778 +Brentwood,40.7839,-73.2522 +Cuba,42.2182,-78.2752 +Guilford,42.4072,-75.4898 +Troy,42.7354,-73.6751 +Nyack,41.0919,-73.9143 +Halesite,40.8864,-73.4139 +Fort Johnson,42.9591,-74.2381 +Mount Sinai,40.9372,-73.018 +Millwood,41.1923,-73.7974 +North New Hyde Park,40.746,-73.6876 +Rushville,42.7607,-77.2274 +Oakfield,43.0648,-78.2711 +Ellisburg,43.7351,-76.1344 +Southport,42.064,-76.8185 +Islip Terrace,40.7506,-73.1872 +Bemus Point,42.1635,-79.3895 +Great Neck,40.8028,-73.733 +East Northport,40.8792,-73.3232 +Eden,42.6523,-78.9013 +Hewlett Bay Park,40.6346,-73.6953 +Wendelville,43.0712,-78.7706 +Jericho,40.7875,-73.5416 +Waverly,42.0119,-76.5404 +Parishville,44.6257,-74.8004 +Three Mile Bay,44.0829,-76.1983 +Elmira Heights,42.1267,-76.8255 +Canajoharie,42.8998,-74.57 +Ripley,42.2657,-79.7123 +Orange Lake,41.5318,-74.0936 +Chester,41.357,-74.2769 +East Kingston,41.9524,-73.9704 +Davenport Center,42.4459,-74.9088 +Oxbow,44.2869,-75.6225 +Roosevelt Beach,43.3076,-78.8584 +Gasport,43.195,-78.5764 +Raquette Lake,43.8131,-74.6574 +Attica,42.8641,-78.2798 +West Point,41.3645,-74.0139 +Madison,42.8977,-75.5123 +Minetto,43.3997,-76.4809 +Watkins Glen,42.3801,-76.8673 +Bloomville,42.3338,-74.818 +Windom,42.7853,-78.7898 +Ithaca,42.4442,-76.5032 +Great River,40.7164,-73.1603 +Oriskany,43.1569,-75.3336 +Hewlett Harbor,40.6327,-73.6842 +Adams Center,43.8616,-76.0001 +Searingtown,40.7705,-73.6603 +West Sand Lake,42.6403,-73.6033 +Dering Harbor,41.0931,-72.3417 +Larchmont,40.9258,-73.7529 +Fernwood,43.2765,-73.6465 +Archville,41.1218,-73.8612 +Westhampton Beach,40.8079,-72.6457 +Scotchtown,41.4759,-74.3682 +Rensselaer,42.6465,-73.7328 +Pleasant Valley,41.7474,-73.8248 +Thendara,43.701,-74.9971 +Elizabethtown,44.2197,-73.5934 +North Lindenhurst,40.7072,-73.3859 +Wolcott,43.2225,-76.8135 +Angelica,42.3055,-78.0206 +Altona,44.89,-73.6596 +Mattituck,41.0012,-72.5419 +Carthage,43.9837,-75.6021 +San Remo,40.882,-73.2207 +Stone Ridge,41.8414,-74.1539 +Islip,40.7357,-73.2158 +Cassadaga,42.3427,-79.318 +Frewsburg,42.0575,-79.1485 +Greenville,42.4132,-74.0217 +Holland Patent,43.2413,-75.2567 +Edmeston,42.6989,-75.2523 +Jamesville,42.992,-76.0716 +Amawalk,41.2884,-73.7662 +Clintondale,41.6927,-74.0458 +North Amityville,40.7005,-73.4118 +Island Park,40.6051,-73.6554 +Rotterdam,42.7786,-73.9538 +Granite Springs,41.3104,-73.7574 +Manlius,43.0016,-75.9818 +North Bellmore,40.6904,-73.539 +Coopers Plains,42.1794,-77.1376 +Muttontown,40.8254,-73.5363 +Cedarhurst,40.6252,-73.7278 +Yonkers,40.9466,-73.8674 +Lawrence,40.6042,-73.7149 +Rensselaer Falls,44.5908,-75.319 +Glen Aubrey,42.2623,-76.0002 +Brooklyn,40.6501,-73.9496 +East Aurora,42.7666,-78.6172 +Sandy Beach,43.0564,-78.9598 +Massena,44.9292,-74.8923 +Holtsville,40.8123,-73.0447 +Central Square,43.286,-76.1419 +Ardsley,41.0135,-73.8395 +Point Lookout,40.5903,-73.5795 +Binghamton,42.1014,-75.9093 +Gardnertown,41.5328,-74.0594 +Oneida Castle,43.0814,-75.6331 +Blairville,43.2339,-79.017 +Ames,42.8373,-74.6014 +Blauvelt,41.0689,-73.9544 +Lake Success,40.768,-73.7089 +Trumansburg,42.541,-76.6618 +Water Valley,42.7056,-78.85 +Sidney Center,42.2906,-75.2557 +Spring Valley,41.1151,-74.0485 +Hewlett,40.6422,-73.6942 +Village of the Branch,40.8524,-73.1844 +Lake Clear,44.3676,-74.2327 +Rifton,41.8288,-74.0381 +Mahopac,41.3684,-73.7401 +Big Flats,42.1621,-76.9015 +Oneida,43.0769,-75.6621 +Athol Springs,42.7698,-78.8664 +Mariaville Lake,42.8252,-74.1286 +Belleville,43.7843,-76.1171 +Franklin,42.3416,-75.1659 +Niskayuna,42.8169,-73.8977 +La Fargeville,44.196,-75.9628 +Callicoon,41.7664,-75.0611 +Gowanda,42.4612,-78.9339 +Highland,41.7179,-73.9646 +Voorheesville,42.6517,-73.9348 +Cherry Valley,42.7978,-74.7507 +Myers Corner,41.5947,-73.8743 +West Hills,40.8198,-73.4339 +Natural Bridge,44.0718,-75.4999 +Congers,41.1484,-73.9456 +Crotonville,41.1876,-73.8701 +Eatons Neck,40.9328,-73.3951 +Rapids,43.0976,-78.644 +Lake Luzerne,43.3239,-73.8344 +Staatsburg,41.8554,-73.9255 +Helena,44.9217,-74.7263 +Busti,42.0424,-79.2789 +Getzville,43.0239,-78.7678 +Malden-on-Hudson,42.0933,-73.9365 +Lakeville,42.8367,-77.7032 +Bainbridge,42.2974,-75.4807 +Virgil,42.5141,-76.2001 +Kings Point,40.8162,-73.7408 +Schaghticoke,42.8988,-73.5878 +Pawling,41.5633,-73.5988 +Lancaster,42.9007,-78.6701 +Water Mill,40.9222,-72.3532 +Union Springs,42.8458,-76.691 +Peru,44.5794,-73.5333 +Phoenix,43.2316,-76.2961 +Chazy,44.8904,-73.4354 +Lincolndale,41.336,-73.7254 +Hudson,42.2515,-73.7859 +Plainview,40.7832,-73.4732 +Fort Plain,42.9316,-74.6277 +Roslyn Harbor,40.8157,-73.6379 +Thomaston,40.7876,-73.7151 +Acra,42.3109,-74.0554 +Cambria Center,43.1778,-78.8195 +Bennetts Corners,43.1951,-78.0172 +Sleepy Hollow,41.0936,-73.8724 +Cold Spring Harbor,40.8608,-73.4488 +Altamont,42.7049,-74.034 +North Merrick,40.6871,-73.5615 +Peach Lake,41.3682,-73.5778 +Dunkirk,42.4803,-79.3323 +Ellicott,42.7345,-78.7314 +Manhattan,40.7834,-73.9662 +Beacon,41.5036,-73.9655 +Keuka Park,42.6123,-77.0916 +Mechanicstown,41.4472,-74.3914 +Spencerport,43.1882,-77.8069 +Smithville Flats,42.3943,-75.8105 +Geneva,42.8644,-76.9827 +Whitehall,43.5549,-73.4222 +East Ithaca,42.4263,-76.4627 +Savannah,43.0667,-76.7595 +Kennedy,42.159,-79.0982 +Garden City Park,40.7436,-73.6639 +Wells,43.3963,-74.2979 +Meridian,43.163,-76.5382 +South Floral Park,40.7135,-73.7004 +Dannemora,44.7197,-73.7185 +Wellsville,42.1207,-77.9458 +Burke,44.9032,-74.17 +West Elmira,42.0879,-76.8473 +South Glens Falls,43.2951,-73.6351 +Ghent,42.3254,-73.6179 +Van Etten,42.1975,-76.5542 +Skaneateles,42.9458,-76.4282 +West Islip,40.7097,-73.2971 +Mount Vernon,40.9136,-73.8291 +Stottville,42.2913,-73.7532 +Johnstown,43.0073,-74.3755 +Solvay,43.0573,-76.2126 +Felts Mills,44.0201,-75.7595 +Deferiet,44.0343,-75.6792 +Goldens Bridge,41.2878,-73.6681 +Hicksville,40.7637,-73.5245 +Malverne Park Oaks,40.6817,-73.6642 +Greigsville,42.8307,-77.9015 +South Wilson,43.2417,-78.8131 +Roscoe,41.9403,-74.9132 +Galeville,43.0889,-76.1815 +Hunt,42.5477,-77.991 +Wilmington,44.387,-73.8175 +Mannsville,43.7158,-76.0649 +Glen Cove,40.8709,-73.6287 +Au Sable Forks,44.4507,-73.6738 +Scotia,42.8321,-73.9607 +Pekin,43.1684,-78.885 +Corinth,43.2456,-73.8311 +Derby,42.6814,-78.9753 +Kinderhook,42.3944,-73.7038 +Brownville,44.0056,-75.9834 +Nelliston,42.9318,-74.6099 +Munsons Corners,42.5761,-76.2053 +Gloversville,43.0491,-74.3465 +Melville,40.7823,-73.4088 +Redwood,44.3011,-75.8063 +Prospect,43.3026,-75.1514 +East Hampton,40.9527,-72.1961 +Limestone,42.0228,-78.6325 +Fairmount,43.0414,-76.2485 +North Ridge,43.2126,-78.8259 +Eastchester,40.8884,-73.8282 +Tully,42.7979,-76.1101 +Orient,41.1425,-72.277 +Taconic Shores,42.1192,-73.5532 +Elwood,40.8462,-73.3389 +Stamford,42.4093,-74.617 +New Suffolk,40.9961,-72.4767 +Black River,44.0089,-75.7966 +Heritage Hills,41.3398,-73.7016 +Earlville,42.7401,-75.5436 +Warsaw,42.7429,-78.1414 +Manhasset,40.7884,-73.6943 +Staten Island,40.5834,-74.1496 +New Hyde Park,40.7324,-73.6857 +Westmoreland City,40.3312,-79.677 +Glen Riddle,39.894,-75.4338 +Weissport,40.8289,-75.7009 +Cooperstown,41.4998,-79.8736 +Cross Creek,40.3265,-80.4091 +Pleasant Hill,40.337,-76.448 +North Wales,40.2111,-75.2744 +Duncannon,40.3952,-77.0277 +Vinco,40.4111,-78.8446 +Liverpool,40.5734,-76.9924 +Oakdale,40.4001,-80.1873 +Chinchilla,41.4846,-75.666 +Robesonia,40.3495,-76.1391 +Hookstown,40.5989,-80.4738 +Upland,39.8562,-75.3796 +Wallenpaupack Lake Estates,41.3957,-75.2731 +Brackenridge,40.6079,-79.7411 +Montrose,41.8332,-75.8762 +Industry,40.6595,-80.4115 +West Bristol,40.1015,-74.8852 +Ringtown,40.8565,-76.235 +Piney Fork,40.2898,-79.9962 +Parryville,40.8243,-75.6701 +Exeter,41.3338,-75.8214 +Thomas,40.2376,-80.0939 +Templeton,40.9185,-79.4603 +Kelayres,40.9008,-76.0044 +McClure,40.7078,-77.3107 +Raubsville,40.6297,-75.2021 +Marklesburg,40.3821,-78.1697 +Fallston,40.7241,-80.3133 +Forest Grove,40.4792,-80.1303 +Windsor,39.9163,-76.5841 +Sandy,41.1062,-78.7749 +Villanova,40.0373,-75.3491 +Evansburg,40.1899,-75.4348 +Pomeroy,39.9639,-75.885 +Chicora,40.9505,-79.74 +Lewis Run,41.8694,-78.66 +Worcester,40.2012,-75.3466 +Montrose Manor,40.3065,-75.9869 +Lamar,41.0094,-77.5306 +Holtwood,39.832,-76.3275 +Hilldale,41.2869,-75.8356 +Clarendon,41.7807,-79.0941 +Tionesta,41.4937,-79.448 +Hunterstown,39.8826,-77.1569 +Penndel,40.1552,-74.9147 +Twilight,40.1158,-79.8936 +Tobyhanna,41.177,-75.418 +Irwin,40.3249,-79.6997 +Clarion,41.2106,-79.3803 +Millersville,40.0047,-76.3522 +Stiles,40.6666,-75.5072 +Wrightsville,40.0239,-76.5311 +Ernest,40.6783,-79.1647 +Camp Hill,40.2422,-76.9274 +South Fork,40.3636,-78.7919 +Stevensville,41.7606,-76.1763 +Dravosburg,40.3508,-79.8906 +Queen,40.2592,-78.5075 +Blanchard,40.6573,-79.8284 +Delmont,40.4146,-79.5729 +Osceola Mills,40.8525,-78.2699 +Mount Eagle,40.98,-77.7057 +Glen Campbell,40.8197,-78.8297 +Russellville,39.8423,-75.9413 +Canonsburg,40.2642,-80.1868 +Allensville,40.5331,-77.8141 +Grove City,41.1571,-80.0893 +Atlasburg,40.3436,-80.3803 +Warrensville,41.3265,-76.9455 +Sandy Lake,41.3502,-80.0837 +Primrose,40.3556,-80.2678 +Big Run,40.9702,-78.8765 +Northwood,40.6864,-78.2272 +Cresson,40.4626,-78.5866 +Green Ridge,39.8682,-75.4135 +Akron,40.158,-76.2032 +Rices Landing,39.9476,-79.9985 +Ellport,40.8618,-80.2625 +Gardners,40.0063,-77.2084 +Clarks Summit,41.4902,-75.7065 +Quakertown,40.4398,-75.3456 +Blossburg,41.6795,-77.069 +Worthville,41.0251,-79.1405 +Applewold,40.8084,-79.5221 +Hatboro,40.1775,-75.1054 +Virginville,40.5191,-75.8638 +Blakeslee,41.0926,-75.5927 +Crown,41.3917,-79.2633 +Bryn Athyn,40.1411,-75.0674 +Centerville,40.03,-79.9632 +Pen Mar,39.7243,-77.515 +Willowdale,39.8743,-75.7177 +Forestville,40.6938,-76.2921 +Mount Nebo,40.5528,-80.1051 +West Vandergrift,40.6006,-79.5837 +Schenley,40.6845,-79.6617 +Ford Cliff,40.7608,-79.5357 +Homeacre,40.8592,-79.9395 +Eagle,40.0779,-75.6877 +Leacock,40.0857,-76.2083 +Sharpsburg,40.494,-79.9251 +Folcroft,39.8891,-75.277 +Everson,40.0903,-79.5872 +Scarlets Mill,40.227,-75.8502 +Renningers,40.6497,-76.1484 +Greenock,40.3125,-79.8036 +Sewickley Hills,40.568,-80.1271 +Chapman,40.7585,-75.4013 +Carnot,40.517,-80.2214 +Mount Morris,39.7342,-80.0755 +Buckhorn,41.0177,-76.4969 +Connellsville,40.0158,-79.5899 +New Baltimore,39.9835,-78.7721 +Avella,40.2737,-80.4672 +Hegins,40.6524,-76.4876 +Ebensburg,40.4884,-78.7264 +Schwenksville,40.2573,-75.4662 +Level Green,40.3902,-79.7215 +New Oxford,39.863,-77.0554 +Cheswick,40.5428,-79.8013 +Wallaceton,40.9617,-78.2905 +Frankfort Springs,40.481,-80.4428 +Kenilworth,40.2242,-75.6418 +Chalfant,40.41,-79.8387 +Windber,40.2355,-78.8247 +West Conshohocken,40.0705,-75.3192 +State College,40.7909,-77.8568 +North East,42.2134,-79.8333 +Montgomery,41.1709,-76.874 +Spring Ridge,40.3533,-75.9892 +Nazareth,40.74,-75.3132 +Addison,39.7452,-79.3344 +Harrisburg,40.2752,-76.8843 +Mount Cobb,41.4215,-75.5005 +Landisburg,40.343,-77.3058 +Amity Gardens,40.2718,-75.7321 +Sugarcreek,41.438,-79.8183 +Hopewell,40.1345,-78.2665 +Wilcox,41.5726,-78.6869 +Portersville,40.9243,-80.1469 +Hickory,40.2957,-80.3052 +Colony Park,40.3465,-75.9827 +Eagles Mere,41.4102,-76.5832 +Woodbourne,40.2016,-74.8872 +Adamsburg,40.3124,-79.6542 +Inkerman,41.2968,-75.8167 +Rohrsburg,41.1328,-76.4232 +Trevorton,40.7841,-76.6713 +Lyndell,40.0595,-75.7447 +White Oak,40.3415,-79.8007 +Croft,41.0789,-78.3345 +Westline,41.7753,-78.7723 +Harmar Heights,40.5565,-79.8189 +Walnutport,40.7515,-75.5956 +Cyclone,41.8323,-78.5859 +Lanesboro,41.9625,-75.5825 +South Pottstown,40.2367,-75.66 +Lansdale,40.2417,-75.2812 +Toughkenamon,39.8313,-75.7565 +Millersburg,40.5422,-76.9554 +Big Bass Lake,41.2525,-75.4795 +Seven Valleys,39.8545,-76.7667 +Muse,40.2924,-80.2055 +Oberlin,40.2397,-76.8156 +Rillton,40.2892,-79.7312 +New Milford,41.8761,-75.7266 +Elkland,41.989,-77.314 +Chatham,39.8534,-75.8216 +West Homestead,40.3978,-79.9185 +Swartzville,40.2287,-76.0809 +Silverville,40.7045,-79.7228 +Trumbauersville,40.4132,-75.3802 +Swarthmore,39.9022,-75.3488 +Glenmoore,40.089,-75.7719 +Shenandoah Heights,40.8322,-76.2061 +Rote,41.0781,-77.4114 +Olyphant,41.4506,-75.5753 +North Washington,40.5328,-79.5978 +Cambridge,40.0815,-75.9374 +Clinton,40.4926,-80.296 +Lemoyne,40.2442,-76.8991 +Orangeville,41.0769,-76.4115 +Chalfont,40.2894,-75.2096 +Hampton,39.9289,-77.0584 +Loganton,41.0338,-77.3023 +Mertztown,40.5033,-75.6674 +Lumber City,40.6583,-77.6013 +Camptown,41.7312,-76.2347 +Arlington Heights,41.0039,-75.2116 +Broad Top City,40.2012,-78.1406 +Pocono Springs,41.2797,-75.4016 +Mount Carbon,40.6735,-76.1885 +Stonybrook,39.9799,-76.6317 +Summit Hill,40.8249,-75.8464 +East Bangor,40.8811,-75.1861 +Geistown,40.2934,-78.8726 +Waterford,41.9449,-79.9855 +Chevy Chase Heights,40.6403,-79.1456 +Shamokin,40.7883,-76.555 +Sand Hill,40.3614,-76.4217 +Murrysville,40.4456,-79.6555 +Hannasville,41.4716,-79.931 +Shoemakersville,40.5007,-75.9701 +Collinsburg,40.2196,-79.7846 +West Chester,39.9601,-75.6058 +Fernway,40.6948,-80.1309 +Creekside,40.6811,-79.193 +McKnightstown,39.8701,-77.3303 +Vowinckel,41.4108,-79.2286 +Forksville,41.4896,-76.6028 +Coplay,40.671,-75.4961 +Thorndale,39.999,-75.7519 +Tremont,40.6302,-76.3912 +Red Lion,39.8986,-76.6078 +Fairless Hills,40.1784,-74.8524 +Croydon,40.0911,-74.8975 +Perryopolis,40.0868,-79.7528 +Cassandra,40.4085,-78.6407 +Sayre,41.9855,-76.5207 +Farmington,39.81,-79.5623 +New Hope,40.3616,-74.9573 +Darragh,40.2665,-79.6787 +Saint Petersburg,41.161,-79.6545 +Linwood,39.8244,-75.4244 +Kenhorst,40.3069,-75.9438 +Devon,40.0496,-75.4271 +Kittanning,40.8279,-79.5233 +Klingerstown,40.6588,-76.6931 +Kenmar,41.2547,-76.955 +Wilmerding,40.3942,-79.8101 +Meshoppen,41.6119,-76.0458 +Ogden,39.8298,-75.4563 +Benton,41.1955,-76.3848 +Nanticoke,41.2004,-76.0003 +Sterling Run,41.4148,-78.1989 +Colver,40.5426,-78.7891 +Beallsville,40.0619,-80.0302 +Ardmore,40.0033,-75.2947 +Kingston,41.2652,-75.8875 +Saylorsburg,40.8998,-75.3179 +Rupert,40.976,-76.4797 +Worthington,40.838,-79.6349 +New London,39.7826,-75.8755 +Halfway House,40.2795,-75.6402 +Armagh,40.4536,-79.0324 +Martins Creek,40.7816,-75.1912 +Canadohta Lake,41.8176,-79.8364 +Paradise,40.006,-76.1242 +Powell,41.7048,-76.5069 +Santiago,40.4342,-80.2706 +Pen Argyl,40.8675,-75.2535 +Rural Ridge,40.5856,-79.8287 +Davidson Heights,40.5834,-80.2598 +Koppel,40.8356,-80.3213 +Foot of Ten,40.4182,-78.4612 +Millville,41.1205,-76.5253 +Fannettsburg,40.0651,-77.8294 +Oneida,40.9052,-76.1224 +Eagleville,40.1604,-75.409 +Titusville,41.6273,-79.6699 +New Albany,41.6004,-76.4445 +Weatherly,40.942,-75.821 +Numidia,40.8783,-76.4034 +Washington,40.174,-80.2466 +Waynesburg,39.8983,-80.1855 +Ludwigs Corner,40.1157,-75.6935 +Alleghenyville,40.2327,-75.9762 +Heilwood,40.6322,-78.8931 +Downingtown,40.0076,-75.7019 +Ashville,40.5601,-78.5472 +Atglen,39.9473,-75.9754 +Indianola,40.5695,-79.8637 +Hartleton,40.9002,-77.1564 +Burgettstown,40.3813,-80.3926 +River View Park,40.3912,-75.9509 +Butler,40.8615,-79.8962 +Narberth,40.0077,-75.2635 +Elkins Park,40.0771,-75.1268 +Mundys Corner,40.4432,-78.8325 +Perryville,40.5128,-79.5231 +Saint Clair,40.7211,-76.1903 +Munhall,40.3937,-79.9004 +Saltsburg,40.4848,-79.448 +Sonestown,41.3537,-76.5541 +Lenkerville,40.5327,-76.9594 +Cleona,40.3385,-76.477 +Eastwood,40.2917,-79.5184 +Loretto,40.5086,-78.635 +Anselma,40.0815,-75.6419 +Horsham,40.1825,-75.1387 +East Washington,40.1745,-80.2325 +Mount Carmel,40.7959,-76.4121 +Le Raysville,41.8381,-76.1776 +Harleigh,40.9862,-75.9702 +Ulster,41.8459,-76.5019 +McDonald,40.3701,-80.2323 +Rosston,40.7509,-79.5514 +Aaronsburg,40.9042,-77.4513 +Gratz,40.6074,-76.7159 +Alburtis,40.509,-75.6001 +Wyomissing,40.3317,-75.9703 +Bell Acres,40.5898,-80.1738 +West Pittston,41.3295,-75.7998 +Carlisle,40.1999,-77.2042 +Mausdale,40.9865,-76.635 +Washingtonville,41.0523,-76.6749 +Fullerton,40.6308,-75.4834 +Lorane,40.2921,-75.8486 +Ligonier,40.2449,-79.2375 +Parkside,39.8674,-75.378 +Hopeland,40.2336,-76.2615 +Mapletown,39.805,-79.9406 +Clarence,41.0484,-77.946 +Duryea,41.3537,-75.7758 +New Bedford,41.0955,-80.4953 +Edgely,40.1287,-74.8343 +Hickory Hill,39.7484,-75.9208 +Scottdale,40.1034,-79.5899 +Hickory Hills,41.0347,-75.8221 +Bethayres,40.114,-75.071 +Rennerdale,40.4002,-80.1397 +Dunmore,41.4153,-75.6072 +Fayetteville,39.9114,-77.5651 +Chalkhill,39.8461,-79.6143 +Ramblewood,40.7237,-77.9431 +Elgin,41.907,-79.7465 +Conway,40.6674,-80.2411 +Elim,40.2989,-78.943 +Rothsville,40.1532,-76.2473 +Delano,40.8415,-76.0739 +Mechanicsburg,40.2115,-77.006 +Altoona,40.5082,-78.4007 +Sabinsville,41.8678,-77.5253 +Brandonville,40.8601,-76.169 +Northampton,40.6866,-75.4904 +McGovern,40.2385,-80.2257 +Strafford,40.0509,-75.4044 +Berwyn,40.0396,-75.4439 +Athens,41.9515,-76.5186 +Tyrone,40.6764,-78.2461 +Corry,41.926,-79.6358 +Courtney,40.2187,-79.9687 +Heidelberg,40.3915,-80.0923 +Archbald,41.5077,-75.5453 +Georgetown,40.6417,-80.4994 +Moosic,41.3584,-75.7027 +Millerton,41.9868,-76.9396 +Lemont,40.812,-77.8161 +Tower City,40.5884,-76.553 +Fairview,41.0155,-79.7432 +Ancient Oaks,40.536,-75.5852 +Freeport,40.6829,-79.6837 +Finleyville,40.2529,-80.0017 +Oley,40.3872,-75.7844 +Paintersville,40.6495,-77.4522 +Morris,41.5951,-77.2922 +Montandon,40.9654,-76.8529 +Bristol,40.1028,-74.8529 +Audubon,40.1304,-75.428 +Ashland,40.7811,-76.3451 +Park Forest Village,40.8,-77.9081 +Idaville,40.0199,-77.2034 +Juniata Terrace,40.5855,-77.5782 +Locustdale,40.7784,-76.3736 +Wampum,40.8863,-80.3393 +East Conemaugh,40.3476,-78.886 +Unionville,40.9063,-77.8767 +East York,39.9687,-76.6759 +Portland,40.9216,-75.0985 +Towanda,41.7706,-76.4472 +Thornburg,40.4345,-80.0842 +Russell,41.9394,-79.1393 +Williamsburg,40.4627,-78.2045 +Whitaker,40.4007,-79.8864 +Moshannon,41.034,-78.0067 +Forty Fort,41.2843,-75.8689 +Gap,39.9891,-76.0215 +Confluence,39.8094,-79.3552 +Eastlawn Gardens,40.748,-75.2913 +Nittany,40.9947,-77.5521 +Dillsburg,40.1103,-77.0335 +Grassflat,41.0031,-78.1113 +Kelton,39.8087,-75.878 +Laurel Mountain Park,40.2111,-79.185 +Lenape,39.9129,-75.6316 +Slovan,40.3595,-80.385 +Macungie,40.5165,-75.5545 +Warren,41.8433,-79.1445 +Garrett,39.8643,-79.0619 +Tylersburg,41.3838,-79.3202 +West Middletown,40.2432,-80.4252 +Kratzerville,40.8588,-76.8939 +Forbes Road,40.354,-79.5217 +Port Carbon,40.6969,-76.1666 +Fort Loudon,39.9219,-77.9073 +New Columbia,41.0424,-76.8763 +Saltillo,40.2117,-78.0062 +Hammersley Fork,41.4326,-77.9206 +Quarryville,39.8957,-76.1617 +Jefferson Hills,40.2927,-79.9329 +Burnside,40.8133,-78.792 +Sinking Spring,40.3241,-76.0235 +Slatington,40.7544,-75.6114 +Braddock,40.4018,-79.8688 +Lemont Furnace,39.9104,-79.6628 +Nicholson,41.6269,-75.7862 +Cokeburg,40.1001,-80.0656 +Nescopeck,41.0519,-76.2115 +Orrtanna,39.846,-77.359 +Graceton,40.5071,-79.1689 +Madison,40.2456,-79.6748 +Cochranton,41.5192,-80.047 +Duquesne,40.3732,-79.8501 +Swoyersville,41.2975,-75.8799 +Wyndmoor,40.0856,-75.1941 +Walkers Mill,40.3959,-80.1303 +Landenberg,39.7773,-75.7713 +Wiconisco,40.5742,-76.6773 +Wyomissing Hills,40.3376,-75.9797 +Pine Grove Mills,40.7314,-77.8885 +Donaldson,40.6362,-76.4059 +Kerrtown,41.6266,-80.1695 +Dallas,41.3306,-75.9735 +Scotland,39.9697,-77.5844 +Fairfield,39.7891,-77.3698 +Fallsington,40.1873,-74.8188 +Jeannette,40.3277,-79.6139 +Bon Meade,40.5462,-80.2401 +Mont Alto,39.8404,-77.5557 +Richfield,40.6868,-77.114 +North Belle Vernon,40.132,-79.8643 +Reinholds,40.2697,-76.1218 +Heckscherville,40.7211,-76.2666 +North Charleroi,40.15,-79.9083 +Abington,40.1207,-75.118 +Schaefferstown,40.2969,-76.2938 +Avon Heights,40.3526,-76.375 +Shiremanstown,40.2223,-76.9559 +Lloydell,40.3145,-78.6922 +McConnellsburg,39.932,-77.9958 +Homestead,40.4074,-79.9097 +McKeansburg,40.6822,-76.0197 +Pennville,39.7881,-76.9907 +West Waynesburg,39.9001,-80.2006 +Norwood,39.8864,-75.2964 +Blue Ridge Summit,39.7255,-77.4691 +Oswayo,41.9207,-78.0205 +Girty,40.6473,-79.4109 +Belleville,40.6059,-77.721 +Hasson Heights,41.4487,-79.6765 +Plumsteadville,40.3863,-75.1429 +New Wilmington,41.1174,-80.3323 +Lansdowne,39.9408,-75.276 +Marianna,40.0128,-80.1121 +Marianne,41.2441,-79.431 +Schubert,40.4978,-76.2198 +Mifflin,40.5685,-77.4047 +Langhorne,40.1777,-74.9212 +Bainbridge,40.0915,-76.6581 +Swiftwater,41.0954,-75.3249 +Royalton,40.1872,-76.7273 +Birdsboro,40.2618,-75.81 +Willow Grove,40.1495,-75.1178 +Trooper,40.1489,-75.3995 +Hudson,41.2773,-75.8312 +Steelton,40.2258,-76.8254 +Port Clinton,40.5818,-76.0267 +Throop,41.4382,-75.5926 +Shippenville,41.2528,-79.4636 +Gibsonia,40.6322,-79.9684 +Coburn,40.8652,-77.4633 +Hallstead,41.9617,-75.7471 +Tafton,41.4045,-75.183 +West Mayfield,40.7802,-80.3387 +Cornwall,40.2659,-76.4077 +Falls,41.4606,-75.8488 +Economy,40.6001,-80.2248 +Richlandtown,40.4726,-75.3212 +Elco,40.0812,-79.8815 +Ivyland,40.2083,-75.0733 +Pleasant Gap,40.8673,-77.7437 +West Leechburg,40.6338,-79.617 +Arnold,40.5789,-79.7653 +Duncansville,40.4263,-78.4303 +Palo Alto,40.6861,-76.1699 +Glassport,40.3262,-79.8861 +Luxor,40.3342,-79.4781 +New Castle,40.9956,-80.3458 +Upper Saint Clair,40.3336,-80.0842 +Schnecksville,40.6693,-75.6116 +Ellsworth,40.1073,-80.0214 +Vandergrift,40.5994,-79.5748 +Fogelsville,40.5832,-75.6327 +Woodcock,41.7541,-80.0846 +McKees Rocks,40.4688,-80.063 +Ackermanville,40.835,-75.2226 +Glenloch,40.0301,-75.5847 +Glenolden,39.8996,-75.292 +Blooming Valley,41.6797,-80.0397 +Roseto,40.8778,-75.2204 +Republic,39.9664,-79.8767 +Kemblesville,39.749,-75.8241 +Indiana,40.6219,-79.1552 +Knauertown,40.1715,-75.7269 +Havertown,39.9809,-75.3085 +South Heights,40.5746,-80.2363 +Columbia,40.0347,-76.4943 +Parkville,39.7859,-76.9686 +Verona,40.505,-79.8419 +Falmouth,40.1317,-76.7045 +Paris,40.4104,-80.5067 +New Jerusalem,40.4454,-75.753 +Devault,40.0746,-75.5352 +Wexford,40.6265,-80.0559 +Easton,40.6858,-75.2209 +Grill,40.2999,-75.9345 +Lynnwood,40.1242,-79.8434 +Centralia,40.8047,-76.3439 +Plum,40.5024,-79.7496 +Rose Valley,39.8948,-75.3853 +Blaine Hill,40.2737,-79.875 +Levittown,40.1537,-74.853 +Montoursville,41.2472,-76.9184 +Meadowood,40.8442,-79.8939 +Wildwood,40.5942,-79.9701 +Smethport,41.8071,-78.4435 +Parker,41.0907,-79.6846 +Shamokin Dam,40.8547,-76.8231 +Port Trevorton,40.6928,-76.894 +Gayly,40.4442,-80.1467 +Hereford,40.4476,-75.5508 +Flemington,41.1273,-77.4703 +Neshaminy,40.2296,-75.1388 +Rew,41.8992,-78.5388 +Reiffton,40.3126,-75.8662 +Burlington,41.7817,-76.6056 +Strausstown,40.4912,-76.1823 +South Greensburg,40.2783,-79.5473 +Friendsville,41.9179,-76.0477 +Sewickley,40.5399,-80.1793 +Fayette City,40.1007,-79.8392 +Sheffield,41.701,-79.0298 +Kreamer,40.8004,-76.9709 +Pottsgrove,40.2644,-75.6093 +Pottstown,40.2508,-75.6445 +York Springs,40.0094,-77.1158 +Elwyn,39.9079,-75.4102 +Youngstown,40.2798,-79.3659 +Callery,40.7393,-80.038 +Union Deposit,40.2909,-76.6816 +Trafford,40.3847,-79.7575 +Mohnton,40.2871,-75.9869 +Hatfield,40.2771,-75.2988 +Frackville,40.7833,-76.2329 +Baldwin,40.369,-79.9669 +Langeloth,40.3631,-80.4137 +Markle,40.5726,-79.6437 +Haverford,40.0132,-75.2944 +Trout Run,41.3862,-77.0569 +Newlonsburg,40.4245,-79.6645 +Barkeyville,41.1955,-79.9822 +New Salem,39.9037,-76.7912 +Mahaffey,40.8745,-78.7275 +Wylandville,40.2099,-80.1263 +Mount Penn,40.3286,-75.8897 +Kaolin,39.7987,-75.7272 +Indian Lake,40.0446,-78.8603 +Gillett,41.9512,-76.7944 +York,39.9651,-76.7315 +Loysville,40.3656,-77.3444 +Chester Springs,40.0951,-75.6169 +Roxbury,40.1104,-77.6619 +Byrnedale,41.2915,-78.5022 +Westmont,40.3194,-78.9524 +Lewistown,40.5964,-77.5731 +Freeburg,40.7626,-76.9409 +Penn Wynne,39.9867,-75.2715 +Blackwell,41.5565,-77.3791 +King of Prussia,40.0962,-75.3821 +Fredonia,41.3219,-80.2581 +Joffre,40.3809,-80.3532 +Lebanon,40.3412,-76.4228 +Hershey,40.2806,-76.6458 +Bath,40.7279,-75.3919 +Roseville,41.8636,-76.9581 +Woodland Heights,41.4108,-79.7047 +Melrose Park,40.0618,-75.1318 +Herndon,40.7103,-76.8515 +Federal,40.3787,-80.1478 +Media,39.9198,-75.3888 +Topton,40.5032,-75.7023 +Plainfield,40.2012,-77.2833 +Wolfdale,40.1983,-80.3028 +Aliquippa,40.6155,-80.2548 +Braddock Hills,40.418,-79.8629 +Snow Shoe,41.0277,-77.9499 +Beavertown,40.7522,-77.1693 +Chambersburg,39.9315,-77.6556 +Youngsville,41.8524,-79.3167 +Summerville,41.1162,-79.188 +Ford City,40.7693,-79.5327 +New Bethlehem,41.0044,-79.3283 +East Prospect,39.971,-76.5215 +Terre Hill,40.1591,-76.0507 +Catasauqua,40.6531,-75.4643 +Embreeville,39.9301,-75.7344 +Tuscarora,40.7638,-76.0601 +Nuangola,41.158,-75.9773 +Jonestown,40.4129,-76.4807 +Sunrise Lake,41.3136,-74.9638 +Whitfield,40.3358,-76.0048 +Hooversville,40.1504,-78.9132 +Yorklyn,39.9929,-76.6428 +Baden,40.6396,-80.2228 +Bridgewater,40.706,-80.3002 +Morton,39.9116,-75.3267 +Johnsonburg,41.4913,-78.6791 +Boyertown,40.3323,-75.6376 +Irvona,40.7736,-78.5501 +New Kensington,40.5711,-79.7521 +Rouseville,41.4704,-79.6847 +Bakerton,40.6028,-78.7447 +Wyoming,41.3058,-75.8416 +Milltown,39.9659,-75.5455 +Fairhope,40.1151,-79.8389 +Cowansburg,40.2545,-79.7537 +Oaks,40.1318,-75.4596 +Waverly,41.5287,-75.7033 +Ridgway,41.427,-78.7297 +Wilkinsburg,40.4442,-79.8733 +Defiance,40.1599,-78.232 +Avon,40.3429,-76.3794 +Great Bend,41.9736,-75.7459 +Saint Clairsville,40.156,-78.5108 +Sarversville,40.7195,-79.7556 +Rome,41.8575,-76.3414 +Edwardsville,41.2614,-75.9071 +Gordon,40.7501,-76.34 +Webster,40.1877,-79.8489 +Hydetown,41.6512,-79.7246 +Ben Avon,40.5058,-80.0814 +Bear Lake,41.9934,-79.5014 +Bressler,40.2318,-76.8191 +Schoeneck,40.2453,-76.1765 +Hilliards,41.0859,-79.8334 +Emsworth,40.5112,-80.0965 +Cambridge Springs,41.8018,-80.0597 +Roslyn,40.1318,-75.1377 +Fredericksburg,40.4441,-76.4377 +Coalmont,40.2113,-78.2 +Petersburg,40.5726,-78.0507 +Elizabeth,40.2716,-79.8872 +Spring Hill,40.3703,-78.6691 +White Haven,41.0566,-75.7801 +Renovo,41.3314,-77.7499 +Williamsport,41.2398,-77.0371 +Lewisberry,40.1357,-76.8609 +Coudersport,41.7758,-78.016 +Sutersville,40.2361,-79.8015 +Sierra View,41.0007,-75.4476 +Franklintown,40.076,-77.0295 +Bellefonte,40.9141,-77.7683 +Oreland,40.1148,-75.1801 +Westfield,41.9177,-77.5403 +Marlin,40.686,-76.2421 +Star Junction,40.061,-79.766 +Wilmore,40.3876,-78.717 +Trees Mills,40.4309,-79.5456 +Julian,40.8616,-77.9426 +Hermitage,41.231,-80.4412 +Gringo,40.564,-80.2714 +Hannastown,40.3537,-79.4967 +Jerome,40.2136,-78.9809 +Erie,42.1168,-80.0733 +Alsace Manor,40.3972,-75.8546 +Smithton,40.1538,-79.7424 +Reynolds Heights,41.3433,-80.4033 +South Connellsville,39.9946,-79.5807 +Lake Heritage,39.8098,-77.1854 +Mifflinburg,40.9202,-77.0463 +Kulpsville,40.244,-75.3407 +East Side,41.0621,-75.7595 +Pringle,41.2773,-75.9014 +Wayne Heights,39.7455,-77.5436 +Laurelton,40.8815,-77.2024 +Dunnstown,41.1484,-77.4201 +Dunlo,40.2935,-78.7179 +Hawk Run,40.9228,-78.2042 +Fawn Grove,39.7312,-76.4521 +Tarentum,40.6041,-79.7601 +Bear Rocks,40.1265,-79.4651 +Farrell,41.2113,-80.497 +Shippensburg,40.0485,-77.5227 +Towamensing Trails,40.9946,-75.5828 +Frizzleburg,41.0744,-80.4491 +Chester Hill,40.8903,-78.2293 +Glenshaw,40.5391,-79.9735 +Concord,40.2518,-77.7003 +Stevens,40.2141,-76.1605 +Valley Green,40.1567,-76.7947 +Hendersonville,40.3007,-80.1582 +Friedensburg,40.607,-76.2291 +Gouglersville,40.2701,-76.0192 +Floradale,39.9598,-77.2484 +McEwensville,41.0723,-76.8188 +Philadelphia,40.0076,-75.134 +Swissvale,40.4207,-79.8858 +Caln,39.995,-75.7844 +Danville,40.9615,-76.6121 +Bakerstown Station,40.6553,-79.9726 +Old Orchard,40.6575,-75.2609 +Canadensis,41.192,-75.2513 +Black Lick,40.4715,-79.1884 +Ingram,40.4449,-80.0684 +Ridley Park,39.8785,-75.3251 +Taylorstown,40.1565,-80.3869 +Enon Valley,40.8559,-80.4564 +Gradyville,39.9432,-75.4694 +Harrison City,40.3544,-79.6506 +Tamaqua,40.8033,-75.9344 +East Troy,41.7701,-76.7372 +Allison,39.9853,-79.8732 +Pardeesville,41.0008,-75.9681 +Chest Springs,40.5782,-78.6102 +Boalsburg,40.7783,-77.7734 +Trainer,39.8244,-75.4032 +Goldsboro,40.1542,-76.7515 +Pocono Ranch Lands,41.1779,-74.9584 +Southview,40.332,-80.256 +Weston,40.9426,-76.14 +Townville,41.6791,-79.8801 +Yukon,40.2139,-79.6864 +New Brighton,40.7355,-80.3091 +Hummelstown,40.2656,-76.7128 +Green Hills,40.1153,-80.3049 +Commodore,40.7154,-78.939 +North Braddock,40.4023,-79.8533 +Ephrata,40.1811,-76.1812 +Maytown,40.0791,-76.5791 +Southwest,40.199,-79.5209 +Dover,40.0033,-76.8484 +Drexel Hill,39.9495,-75.3039 +Harwick,40.5562,-79.8054 +West Hills,40.8289,-79.5452 +West Reading,40.3337,-75.947 +Fisher,40.1701,-79.9078 +Snydertown,40.873,-76.6722 +Rockhill,40.2411,-77.8996 +Presto,40.3737,-80.1178 +Fox Run,40.7023,-80.0828 +Mount Jewett,41.7255,-78.6444 +Bentleyville,40.1178,-80.0044 +Midway,40.3687,-80.2912 +Noxen,41.4225,-76.0599 +Pennside,40.3384,-75.8781 +Orwin,40.5839,-76.5314 +Woodlyn,39.8774,-75.3445 +Folsom,39.8924,-75.3286 +Salix,40.296,-78.7599 +Manchester,40.0614,-76.7194 +Masthope,41.5154,-75.0257 +Hometown,40.8216,-75.9865 +Bellwood,40.6009,-78.3343 +Oak Hills,40.8263,-79.9152 +Penns Creek,40.8631,-77.0563 +Ohioville,40.6872,-80.4783 +Grantville,40.3779,-76.6464 +Bowmanstown,40.8019,-75.6611 +Talley Cavey,40.5901,-79.9476 +Chatwood,39.9665,-75.5894 +Van Voorhis,40.1599,-79.9731 +Marion Hill,40.7303,-80.2959 +Clintonville,41.2016,-79.8748 +McAlisterville,40.6381,-77.273 +Jamison City,41.2984,-76.3689 +Wind Gap,40.8484,-75.2917 +Lehighton,40.8306,-75.7165 +Lititz,40.154,-76.3044 +Center Square,40.1671,-75.2899 +Berlin,39.9215,-78.9509 +Mather,39.9357,-80.0752 +Hopwood,39.8773,-79.7017 +Hahntown,40.3184,-79.7184 +Jessup,41.4622,-75.5478 +Northumberland,40.8959,-76.7938 +Warminster,40.2068,-75.0996 +Pocopson,39.9004,-75.6258 +Sharpsville,41.2595,-80.4813 +Spring House,40.1847,-75.2267 +Fountain Hill,40.6029,-75.3961 +Glenwillard,40.5598,-80.2242 +Jenners,40.1431,-79.0428 +Lakemont,40.4661,-78.3915 +Brockway,41.2469,-78.7929 +Kane,41.663,-78.8096 +Alcoa Center,40.5384,-79.645 +Indian Mountain Lake,41.0003,-75.5058 +Kylertown,40.9993,-78.1681 +Mount Gretna,40.2456,-76.4717 +Arnot,41.6623,-77.1222 +Warminster Heights,40.1884,-75.0841 +Lake Latonka,41.283,-80.1831 +Shartlesville,40.5135,-76.1016 +Hemlock Farms,41.3157,-75.0515 +Farrandsville,41.1751,-77.5125 +Hawley,41.4765,-75.1779 +Hazleton,40.9504,-75.9724 +Riverside,40.9461,-76.6461 +Castle Shannon,40.3664,-80.0194 +Village Shires,40.2016,-74.9706 +West Elizabeth,40.2722,-79.8952 +Arendtsville,39.9234,-77.2998 +Oakwood,41.0112,-80.3793 +Arcadia,40.7812,-78.8525 +Glenburn,41.5165,-75.7257 +Noblestown,40.3954,-80.202 +Revloc,40.4914,-78.7636 +Avonmore,40.5272,-79.4694 +Rosemont,40.0257,-75.3238 +Allison Park,40.573,-79.9603 +Ravine,40.5686,-76.3937 +Manorville,40.788,-79.5205 +Mount Pleasant Mills,40.723,-77.0214 +Newtown Grant,40.2599,-74.9561 +Beech Creek,41.0746,-77.5852 +Grampian,40.9647,-78.6113 +Stony Creek Mills,40.3494,-75.8641 +Cabot,40.7648,-79.7664 +Myerstown,40.3722,-76.3055 +Larksville,41.2639,-75.9326 +Mercer,41.2265,-80.2358 +Venice,40.3212,-80.2187 +Forest City,41.6521,-75.4691 +Grindstone,40.0221,-79.8228 +South New Castle,40.9747,-80.3457 +Valencia,40.6767,-79.9881 +Beurys Lake,40.7195,-76.3797 +Luthersburg,41.0534,-78.7192 +Leith,39.8851,-79.7264 +Eighty Four,40.1777,-80.1303 +South Waverly,41.9955,-76.5441 +Palmerton,40.8023,-75.616 +Sagamore,40.7801,-79.2278 +Leroy,41.6759,-76.7072 +Milesburg,40.9426,-77.792 +Kenmawr,40.4823,-80.1142 +Latrobe,40.3125,-79.3825 +Mammoth,40.1987,-79.4628 +Camp Jo-Ann,40.5081,-79.6806 +Lykens,40.5641,-76.6984 +Beaver Meadows,40.9299,-75.9131 +Dicksonville,40.7153,-79.0105 +Watsontown,41.085,-76.8646 +Wheatland,41.1971,-80.4957 +McConnellstown,40.464,-78.0672 +United,40.2184,-79.4878 +Richland,40.3574,-76.2568 +Breinigsville,40.5393,-75.6342 +Woodland,40.9984,-78.3414 +New Britain,40.2981,-75.1807 +Chewton,40.8946,-80.3208 +Hummels Wharf,40.8309,-76.841 +Yardley,40.2408,-74.8385 +Homeville,39.8609,-75.9866 +Seward,40.4129,-79.0217 +East McKeesport,40.3848,-79.8075 +Chester Heights,39.8926,-75.4698 +East Brady,40.9836,-79.6131 +Kirkwood,39.8539,-76.0798 +Marysville,40.3377,-76.9337 +Palmdale,40.2963,-76.6233 +Nuremberg,40.9377,-76.1685 +Clairton,40.2976,-79.8853 +Dunlevy,40.1128,-79.8588 +Cherryville,40.7549,-75.5309 +Orwigsburg,40.6541,-76.104 +Landisville,40.0901,-76.4063 +Courtdale,41.2848,-75.9142 +Sykesville,41.0475,-78.8185 +Essington,39.8621,-75.2971 +Brave,39.7264,-80.2593 +Belmont,40.2829,-78.8907 +Gold Key Lake,41.3145,-74.9434 +Stoystown,40.1031,-78.9547 +Coopersburg,40.5102,-75.3915 +Sylvania,41.8029,-76.8607 +Troy,41.7839,-76.7898 +Slabtown,40.9051,-76.4059 +Greenfields,40.3627,-75.9565 +Claysburg,40.2896,-78.4482 +South Temple,40.399,-75.9224 +Cumbola,40.7139,-76.1432 +Wanamie,41.1763,-76.0384 +Yatesboro,40.8001,-79.3342 +Greensburg,40.3113,-79.5444 +Monongahela,40.1956,-79.9221 +Morstein,40.0168,-75.5869 +Madera,40.8284,-78.435 +Mars,40.697,-80.014 +Smock,39.9997,-79.7774 +Brentwood,40.3734,-79.9757 +Norvelt,40.205,-79.497 +Tunkhannock,41.5412,-75.9488 +Woodrow,40.284,-80.3651 +Modena,39.9618,-75.8024 +Middleboro,41.9981,-80.141 +Monroeville,40.4262,-79.7605 +Effort,40.9436,-75.439 +Bower Hill,40.3734,-80.0937 +Abbottstown,39.8843,-76.9888 +Walnut Bottom,40.0895,-77.4039 +Oklahoma,40.5804,-79.5754 +Rutherford,40.2696,-76.7678 +Seneca,41.377,-79.7073 +Lake Winola,41.5105,-75.8509 +Turtle Creek,40.4085,-79.8214 +Sturgeon,40.3835,-80.2153 +Port Royal,40.5338,-77.3895 +Weigelstown,39.9843,-76.8315 +Eddington,40.0865,-74.9445 +Coatesville,39.9849,-75.8199 +Moninger,40.2417,-80.2126 +Hublersburg,40.9622,-77.607 +Middletown,40.201,-76.7289 +Paint,40.2421,-78.8501 +Edenborn,39.882,-79.8876 +Carbondale,41.5714,-75.5048 +North Buffalo,40.7628,-79.5837 +Reedsville,40.6646,-77.593 +Rural Valley,40.7991,-79.315 +Mattawana,40.4968,-77.7283 +Penfield,41.2084,-78.5756 +Tresckow,40.916,-75.9657 +Bareville,40.0923,-76.1558 +Lynch,41.6023,-79.0503 +Englewood,40.7814,-76.2449 +New Paris,40.1083,-78.6431 +Little Meadows,41.9891,-76.1277 +McKnight,40.5551,-80.0364 +Red Hill,40.377,-75.4837 +Chadds Ford,39.8718,-75.5913 +Ben Avon Heights,40.5125,-80.0731 +Mount Aetna,40.4207,-76.2966 +Greensboro,39.7921,-79.9126 +Pennsburg,40.3936,-75.4964 +Reynoldsville,41.0946,-78.888 +Baumstown,40.2777,-75.8066 +Joanna,40.1737,-75.8619 +Lawnton,40.2638,-76.7978 +Lancaster,40.0421,-76.3012 +Boothwyn,39.8357,-75.4453 +Callensburg,41.1257,-79.5578 +Russellton,40.6082,-79.8401 +Lucerne Mines,40.5559,-79.1558 +Foundryville,41.0775,-76.2355 +Jamestown,41.4843,-80.437 +Honey Brook,40.0937,-75.9111 +Garland,41.8162,-79.4439 +Woodbury,40.2255,-78.366 +Natrona Heights,40.6234,-79.7298 +Avalon,40.501,-80.068 +Atlantic,41.5077,-80.3393 +Plymouth Meeting,40.1099,-75.2798 +Malvern,40.0329,-75.5146 +Johnstown,40.3258,-78.9194 +Smithdale,40.2278,-79.7914 +Roscoe,40.0781,-79.8644 +Barbours,41.3931,-76.7994 +Plymouth,41.2404,-75.9505 +Refton,39.9474,-76.2386 +Fleetwood,40.4565,-75.8211 +Hostetter,40.264,-79.3976 +Ardara,40.3578,-79.735 +Sharon Hill,39.9075,-75.2678 +New Bloomfield,40.4198,-77.1864 +Langhorne Manor,40.1658,-74.9174 +Elysburg,40.868,-76.5492 +Dorneyville,40.5755,-75.5187 +Tidioute,41.6847,-79.4004 +Nanty Glo,40.4723,-78.8334 +Enlow,40.4523,-80.2317 +Girardville,40.7922,-76.283 +Rainsburg,39.8957,-78.5173 +Picture Rocks,41.2804,-76.7079 +Hunker,40.2041,-79.6155 +Dormont,40.3941,-80.0377 +Moon,40.509,-80.2392 +Murry Hill,40.2756,-80.1573 +Wayne,40.044,-75.3877 +Blakely,41.4859,-75.6012 +Waymart,41.5866,-75.4047 +Cranesville,41.904,-80.3418 +Orbisonia,40.2429,-77.893 +Washington Boro,40.0017,-76.467 +Pennwyn,40.2895,-75.9731 +Minersville,40.6908,-76.2594 +Ralston,41.5065,-76.9541 +Riceville,41.7792,-79.8045 +Masontown,39.8488,-79.908 +Glendon,40.6607,-75.2364 +Westtown,39.9309,-75.5519 +Crabtree,40.3638,-79.4695 +Taylorstown Station,40.1565,-80.3869 +Arnold City,40.1176,-79.8228 +Wickerham Manor,40.1703,-79.9175 +Leola,40.0915,-76.1891 +Saw Creek,41.1197,-75.0465 +Wyalusing,41.6704,-76.2623 +Freemansburg,40.6279,-75.3401 +Valley Forge,40.0971,-75.4696 +Oakford,40.1484,-74.9638 +Monument,41.1112,-77.7042 +Nemacolin,39.8784,-79.9295 +Claridge,40.3656,-79.6223 +Paxtang,40.2623,-76.8342 +Bala-Cynwyd,40.0076,-75.2341 +Chase,41.2801,-75.9649 +Grier City,40.8266,-76.056 +Austin,41.6373,-78.0903 +Denver,40.2325,-76.1393 +Dale,40.3121,-78.905 +Linfield,40.2101,-75.5699 +West Wyomissing,40.3222,-75.9949 +Hawthorn,41.021,-79.2782 +Penn Lake Park,41.1153,-75.7733 +Buckingham,40.3237,-75.0599 +Conestoga,39.945,-76.3367 +West Newton,40.2094,-79.77 +Stillwater,41.1506,-76.3693 +Rouzerville,39.734,-77.528 +Mountainhome,41.1779,-75.2632 +New Stanton,40.2237,-79.6086 +Karthaus,41.1209,-78.1139 +Eagle Lake,41.2826,-75.4795 +Ambridge Heights,40.5917,-80.2117 +Spring Mills,40.8534,-77.5654 +Grazierville,40.6576,-78.2707 +Lyons,40.4806,-75.7593 +Clark,41.2831,-80.4088 +Newportville Terrace,40.1221,-74.9066 +Sandy Ridge,40.8105,-78.2345 +Summit Station,40.5615,-76.1996 +Naomi,40.1111,-79.8464 +Allenwood,41.1081,-76.8981 +Plymptonville,41.0427,-78.4466 +Spring Grove,39.8809,-76.8641 +Aspers,39.9765,-77.226 +Tunnelhill,40.4783,-78.5423 +Wyncote,40.0914,-75.1463 +Wendel,40.2956,-79.6864 +Pitcairn,40.4079,-79.7765 +Three Springs,40.197,-77.9819 +Canton,41.6566,-76.8529 +Sanatoga,40.2498,-75.5886 +Columbus,41.9478,-79.5835 +Buena Vista,40.2773,-79.7992 +Curtisville,40.6497,-79.8492 +Kennerdell,41.2787,-79.8219 +Meadville,41.6476,-80.1467 +Elverson,40.1559,-75.8304 +Bradford Woods,40.6369,-80.0809 +Congruity,40.3984,-79.5037 +Flying Hills,40.2787,-75.9164 +West Pittsburg,40.931,-80.3591 +Nixon,40.7844,-79.934 +Avoca,41.3381,-75.7423 +Shippingport,40.625,-80.422 +Kunkletown,40.8479,-75.4482 +Valley View,40.6481,-76.5352 +Rocky Grove,41.4051,-79.832 +Coryville,41.8826,-78.3984 +Pottsville,40.6798,-76.2092 +Baileyville,40.711,-77.9924 +Centre Hall,40.8448,-77.685 +Perkasie,40.3719,-75.292 +Lernerville,40.7381,-79.7623 +Grapeville,40.3253,-79.606 +Dorseyville,40.577,-79.8887 +Dalmatia,40.65,-76.9026 +Mercersburg,39.832,-77.903 +Fellsburg,40.1842,-79.8269 +Troutville,41.0259,-78.7862 +Martinsburg,40.3109,-78.3242 +New Holland,40.1008,-76.09 +Landingville,40.6256,-76.1234 +Bloomsburg,41.0027,-76.4561 +Monroeton,41.7126,-76.4747 +Timber Hills,40.2457,-76.4837 +Thompson,41.8637,-75.5141 +Glasgow,40.6443,-80.5081 +Timblin,40.9673,-79.199 +Volant,41.1132,-80.2589 +Seven Springs,40.0251,-79.2934 +Scranton,41.4044,-75.6649 +Troxelville,40.8076,-77.2058 +Jenkintown,40.0962,-75.1297 +Broughton,40.3259,-79.9864 +Cressona,40.6304,-76.1938 +West Easton,40.6781,-75.2357 +Hanover,39.8117,-76.9835 +Edenburg,40.5658,-75.9593 +Yeagertown,40.6414,-77.5802 +Ronco,39.8686,-79.921 +Garden View,41.2569,-77.049 +Saint Michael,40.3272,-78.7701 +Blawnox,40.4923,-79.86 +Churchill,40.4389,-79.8417 +Mexico,40.5416,-77.3582 +West Hickory,41.5687,-79.4081 +Woxall,40.3111,-75.4513 +Elizabethville,40.5472,-76.816 +Branch Dale,40.6732,-76.3222 +Millvale,40.4817,-79.9736 +Sewickley Heights,40.5595,-80.1527 +Atlas,40.7974,-76.4288 +Fountain Springs,40.7722,-76.3284 +Conashaugh Lakes,41.304,-74.9937 +Smithfield,39.8023,-79.8089 +Kersey,41.357,-78.6101 +Tioga,41.9072,-77.1335 +Laurel Gardens,40.5276,-80.0251 +Deer Lake,40.6214,-76.0565 +Carnegie,40.408,-80.0861 +Kempton,40.6279,-75.8546 +Marietta,40.0574,-76.5514 +Hamburg,40.5559,-75.9824 +Edinboro,41.8762,-80.1246 +Brickerville,40.2226,-76.2863 +Friedens,40.0449,-79.0027 +Uniontown,39.8994,-79.7243 +Charleroi,40.1384,-79.9002 +Thompsonville,40.2802,-80.1204 +Brodheadsville,40.9267,-75.4017 +Pillow,40.6406,-76.803 +Ulysses,41.903,-77.7548 +Tatamy,40.7409,-75.2561 +Allport,40.966,-78.2065 +Weedville,41.2764,-78.4902 +Frystown,40.452,-76.3326 +Evans City,40.7685,-80.0584 +Seltzer,40.6957,-76.2361 +Birchwood Lakes,41.2513,-74.9103 +Polk,41.3691,-79.9311 +Royersford,40.1862,-75.5382 +Grandview,41.4215,-78.5481 +Slickville,40.4622,-79.5184 +Elrama,40.2517,-79.9243 +Jefferson,39.8156,-76.841 +Granville,40.5549,-77.6168 +Centerport,40.4863,-76.0059 +Reading,40.34,-75.9266 +Boquet,40.3815,-79.6023 +Du Bois,41.1225,-78.7564 +Madisonburg,40.9283,-77.5189 +Selinsgrove,40.8003,-76.8647 +Galeton,41.7338,-77.6454 +Everett,40.0132,-78.3667 +Sunbury,40.8617,-76.7874 +Boiling Springs,40.1592,-77.139 +Railroad,39.7596,-76.6961 +Old Forge,41.3705,-75.7409 +Leetsdale,40.5656,-80.2142 +Gordonville,40.0211,-76.1365 +Highland Park,40.6216,-77.5707 +Pikes Creek,41.3086,-76.1029 +Bairdford,40.6279,-79.8818 +Port Vue,40.3371,-79.872 +Boston,40.312,-79.8237 +East Salem,40.6085,-77.2369 +West Grove,39.8206,-75.8284 +Watters,40.7581,-80.032 +Middleport,40.7278,-76.0868 +Truxall,40.5487,-79.5406 +Bendersville,39.9813,-77.2493 +Cross Roads,39.82,-76.5728 +New Freeport,39.7594,-80.4279 +Derry,40.3335,-79.3011 +Eastvale,40.767,-80.3148 +Homewood,40.8133,-80.3294 +Emerald Lakes,41.0845,-75.4154 +Coaldale,40.8197,-75.9161 +Churchville,40.1994,-74.9986 +Springville,41.6976,-75.9177 +New Florence,40.379,-79.0751 +Delta,39.7267,-76.3271 +Venango,41.7727,-80.1121 +Guthriesville,40.0332,-75.7636 +Susquehanna Trails,39.7583,-76.3684 +Paoli,40.042,-75.4912 +West Middlesex,41.1742,-80.4557 +Shanksville,40.0173,-78.9069 +Gallitzin,40.4809,-78.5547 +Mount Holly Springs,40.1126,-77.1854 +Wattsburg,42.0029,-79.807 +Limerick,40.2309,-75.5221 +Collegeville,40.1873,-75.4581 +Shiloh,39.9734,-76.792 +Highspire,40.2085,-76.7851 +Jeddo,40.9903,-75.8961 +Cecil,40.3295,-80.1709 +Jones Mills,40.0887,-79.3406 +Sweden Valley,41.7594,-77.9538 +Pleasureville,39.997,-76.7066 +West Sunbury,41.0061,-79.8965 +Millerstown,40.5543,-77.153 +Fairchance,39.8251,-79.754 +Westport,41.3017,-77.8403 +Penn,40.3294,-79.6419 +Somerset,40.0049,-79.0778 +Edgewood,40.4313,-79.8839 +Upper Exeter,41.407,-75.8503 +Bonneauville,39.8105,-77.1363 +Conshohocken,40.0772,-75.3035 +Bechtelsville,40.3711,-75.6308 +Moon Run,40.4531,-80.1095 +New Tripoli,40.6773,-75.7498 +Blue Bell,40.1474,-75.2687 +New Cumberland,40.2297,-76.8764 +Stobo,40.6631,-80.2628 +Lucinda,41.3084,-79.3698 +Millwood,40.3504,-79.2853 +Bigler,40.9888,-78.3097 +Butler Junction,40.6734,-79.6937 +Mechanicsville,40.6908,-76.1807 +Valley-Hi,40.0299,-78.1917 +Avonia,42.0469,-80.2765 +Elderton,40.6945,-79.3421 +Longfellow,40.5063,-77.6665 +Egypt,40.6858,-75.5333 +Huntingdon,40.5,-78.0098 +Bethel Park,40.3239,-80.0364 +Zelienople,40.7886,-80.1428 +Markleysburg,39.7363,-79.4517 +Robinson,40.4048,-79.1383 +Spring Church,40.6062,-79.4889 +Harrisville,41.1365,-80.0105 +Laceyville,41.6458,-76.1589 +Clarksville,39.9744,-80.044 +Doylestown,40.314,-75.128 +Churchtown,40.135,-75.9593 +Lilly,40.4244,-78.6199 +Glen Hope,40.8009,-78.4985 +Summerhill,40.3765,-78.7616 +Carmichaels,39.8976,-79.975 +Morgantown,40.1539,-75.8906 +Crucible,39.9479,-79.9657 +Bedford,40.0148,-78.5034 +Loganville,39.8559,-76.7079 +Dublin,40.373,-75.204 +Falls Creek,41.1421,-78.8067 +Antrim,41.634,-77.2869 +Shelocta,40.6573,-79.3015 +Plumville,40.7925,-79.1793 +Frazer,40.0323,-75.556 +Manifold,40.1951,-80.2187 +Trappe,40.1991,-75.4754 +New Sheffield,40.599,-80.2801 +Laflin,41.2896,-75.7942 +Telford,40.3259,-75.3275 +New Columbus,41.1732,-76.287 +Dalton,41.5382,-75.739 +Prospect Park,39.8858,-75.3074 +Rochester,40.7025,-80.2838 +Chesterbrook,40.0736,-75.4582 +Reinerton,40.5914,-76.5359 +Newville,40.1702,-77.4015 +Whitehall,40.3602,-79.9898 +Kutztown,40.5212,-75.7773 +Phoenixville,40.1358,-75.5201 +Treasure Lake,41.1713,-78.7173 +Hartstown,41.5511,-80.3825 +East Earl,40.1101,-76.0274 +Woodside,41.0118,-75.8966 +North York,39.978,-76.7308 +Christiana,39.9545,-75.997 +Osborne,40.5317,-80.1689 +Blain,40.3365,-77.5124 +Starrucca,41.8996,-75.4529 +Southampton,40.1743,-75.0438 +Witmer,40.05,-76.2114 +Cresco,41.154,-75.2805 +Jackson Center,41.2731,-80.1397 +Cheyney,39.9284,-75.5227 +Bridgeport,40.1042,-75.3437 +New Ringgold,40.6892,-75.9928 +Carrolltown,40.6048,-78.7072 +Annville,40.3326,-76.5077 +East Greenville,40.4057,-75.5062 +Conyngham,40.9911,-76.0595 +Slippery Rock,41.0695,-80.058 +West Mifflin,40.3581,-79.9072 +Needmore,39.8475,-78.1433 +Newton Hamilton,40.3926,-77.8354 +Dawson,40.0473,-79.6573 +Spry,39.9125,-76.6863 +Fox Chase,40.3952,-75.9634 +Davidsville,40.2348,-78.9356 +Oliver,39.9153,-79.7213 +Gibraltar,40.2809,-75.8608 +Bethel,40.4764,-76.2906 +Light Street,41.0407,-76.4175 +North Vandergrift,40.6101,-79.5556 +Ramey,40.8017,-78.3994 +Skippack,40.2225,-75.3998 +Brockport,41.2598,-78.7267 +Sarver,40.7315,-79.7459 +California,40.0692,-79.9152 +South Coatesville,39.969,-75.8135 +East Rochester,40.6981,-80.2689 +Shavertown,41.3188,-75.9405 +Loyalhanna,40.3144,-79.356 +Bally,40.4004,-75.5875 +Maitland,40.6242,-77.5019 +Mayfield,41.5394,-75.5315 +Port Matilda,40.8003,-78.0523 +Turbotville,41.1018,-76.7695 +Winterstown,39.8408,-76.6175 +Buck Run,40.7068,-76.3212 +Concordville,39.8851,-75.5202 +Northbrook,39.9204,-75.6888 +Spinnerstown,40.4412,-75.4414 +Coal Center,40.07,-79.901 +Palmyra,40.31,-76.5944 +Jennerstown,40.1635,-79.0611 +South Bethlehem,40.9991,-79.3395 +Stonerstown,40.2155,-78.2572 +Intercourse,40.0378,-76.1081 +York Haven,40.1106,-76.7149 +Moylan,39.909,-75.3963 +Hamorton,39.8684,-75.6555 +Hamlin,41.4037,-75.3985 +Cassville,40.2928,-78.0272 +Iselin,40.5595,-79.3864 +Emmaus,40.5352,-75.4978 +Mount Gretna Heights,40.2487,-76.4665 +South Williamsport,41.2294,-77.0009 +Lawrence Park,42.1506,-80.023 +Hughestown,41.3291,-75.7698 +Fort Washington,40.1407,-75.1925 +Pleasant Hills,40.3298,-79.9596 +Mapleton,40.3928,-77.9412 +Driftwood,41.3448,-78.134 +Lenape Heights,40.7633,-79.5217 +Village Green,39.8696,-75.4274 +Sheppton,40.8961,-76.1187 +Monessen,40.1519,-79.8828 +New Buffalo,40.4543,-76.9705 +Glendale,40.3965,-80.0956 +Woodward,40.8997,-77.3471 +Atkinson Mills,40.4519,-77.8053 +Marion Center,40.7705,-79.0472 +East Freedom,40.3573,-78.4366 +Bakerstown,40.6528,-79.9408 +Lake Wynonah,40.5878,-76.1806 +Paxtonia,40.3166,-76.7884 +Goodville,40.128,-76.0046 +Speers,40.1222,-79.8797 +Bernville,40.4335,-76.1107 +Park Crest,40.8192,-76.0601 +Rockwood,39.9157,-79.1574 +Sugar Notch,41.1935,-75.9314 +Lake Meade,39.9836,-77.0421 +Grantley,39.9406,-76.7287 +Douglassville,40.2577,-75.7251 +Scalp Level,40.2495,-78.8442 +Rockledge,40.0822,-75.0898 +Linglestown,40.3444,-76.7949 +Shade Gap,40.1803,-77.8662 +West Falls,41.453,-75.8605 +Hazel Hurst,41.7059,-78.5825 +Kulpmont,40.7951,-76.4718 +Big Beaver,40.8233,-80.3633 +Dauberville,40.4606,-75.9984 +Keeneyville,41.8606,-77.3047 +Tannersville,41.0401,-75.3057 +Portland Mills,41.3781,-78.8342 +Faxon,41.2556,-76.9771 +Mainville,40.9797,-76.3705 +Holiday Pocono,41.0292,-75.6092 +Alexandria,40.5582,-78.0995 +Trexlertown,40.5523,-75.6039 +Cornwells Heights,40.0771,-74.9516 +Reamstown,40.2113,-76.118 +Philipsburg,40.8952,-78.2145 +Saegertown,41.7159,-80.1363 +Loysburg,40.1609,-78.375 +Stouchsburg,40.3808,-76.2306 +Alum Bank,40.1806,-78.6136 +Petrolia,41.0216,-79.7168 +Muhlenberg Park,40.3867,-75.9398 +Sligo,41.1081,-79.4964 +Clymer,40.6686,-79.0133 +Plains,41.2758,-75.8518 +Shickshinny,41.1535,-76.15 +Stockertown,40.7548,-75.2628 +Warriors Mark,40.7034,-78.1297 +Norristown,40.1224,-75.3399 +Colonial Park,40.2997,-76.8068 +Port Allegany,41.8149,-78.2768 +Toftrees,40.8249,-77.885 +West Pike,41.7762,-77.7139 +Pittsburgh,40.4396,-79.9763 +Moscow,41.3417,-75.5316 +Freeland,41.0212,-75.8963 +Donora,40.179,-79.8625 +Lawson Heights,40.2938,-79.3873 +Apollo,40.5849,-79.5648 +Ambridge,40.5922,-80.2265 +West Kittanning,40.8123,-79.5313 +West Hazleton,40.9698,-76.0129 +East Waterford,40.3711,-77.6048 +Roulette,41.7768,-78.1552 +Bear Creek Village,41.1876,-75.7552 +Bell Point,40.5451,-79.5503 +Ludlow,41.7284,-78.9434 +Linntown,40.9566,-76.9002 +Lavelle,40.7623,-76.3869 +Curwensville,40.9735,-78.5189 +Lincolnville,41.7902,-79.8381 +Montrose Hill,40.5037,-79.8556 +Taylor,41.3958,-75.7147 +Silkworth,41.2698,-76.0749 +Dry Tavern,39.9399,-80.0095 +Patterson Heights,40.7391,-80.3263 +Earlston,40.0038,-78.3736 +Hughesville,41.239,-76.7254 +Elizabethtown,40.1534,-76.5991 +Greencastle,39.7907,-77.7267 +Cadogan,40.754,-79.5812 +Dewart,41.1099,-76.8706 +Midland,40.6373,-80.4565 +Laurel Run,41.2194,-75.8445 +Shay,40.7365,-79.4548 +Lattimer,40.993,-75.9606 +Edgeworth,40.5546,-80.1922 +Ranshaw,40.7858,-76.5173 +Boyers,41.1084,-79.8989 +Dime,40.6562,-79.5328 +Strabane,40.2509,-80.1978 +Barrville,40.6663,-77.6831 +North Springfield,41.9945,-80.4251 +Broomall,39.9694,-75.3529 +Conemaugh,40.3267,-78.9081 +Daisytown,40.3201,-78.9034 +Gwynedd Valley,40.1843,-75.2563 +West Milton,41.0183,-76.8767 +Franklin,41.3936,-79.8425 +Boswell,40.1615,-79.0275 +Laureldale,40.3898,-75.9134 +Emlenton,41.1806,-79.7073 +Geigertown,40.2026,-75.8363 +Perrysville,40.5348,-80.0328 +Cherry Valley,41.1594,-79.8012 +Coalport,40.7476,-78.532 +Lower Burrell,40.5818,-79.7141 +Loag,40.129,-75.813 +Lawrenceville,41.9959,-77.1304 +Mount Vernon,40.2917,-79.8109 +Newmanstown,40.3514,-76.2117 +Mountain Top,41.1353,-75.9045 +West Fairview,40.2777,-76.9196 +McMurray,40.2815,-80.0874 +Gladwyne,40.0407,-75.2791 +Richboro,40.2262,-75.0006 +Fort Indiantown Gap,40.4421,-76.5971 +Pine Ridge,41.1355,-74.9923 +Lock Haven,41.1365,-77.4521 +Harmarville,40.5312,-79.8484 +Beaver Springs,40.745,-77.2167 +Avis,41.1857,-77.3164 +Jermyn,41.5274,-75.5456 +Altamont,40.785,-76.217 +Springboro,41.8006,-80.3715 +Versailles,40.3177,-79.8309 +Wescosville,40.5617,-75.5489 +Coral,40.5021,-79.1746 +East Petersburg,40.1006,-76.3511 +Clarks Green,41.5008,-75.6952 +Manor,40.3459,-79.6693 +Gilbertsville,40.3219,-75.609 +Hiller,40.0082,-79.9042 +Mocanaqua,41.1406,-76.1368 +West Liberty,41.0079,-80.0573 +Lime Ridge,41.024,-76.3504 +Mill Hall,41.1045,-77.4888 +Albrightsville,41.0117,-75.6068 +Darlington,40.8101,-80.4245 +Sellersville,40.36,-75.3083 +Willow Street,39.9809,-76.2705 +Foxburg,41.1459,-79.6802 +Milroy,40.7164,-77.5871 +Longwood,39.8676,-75.6705 +Platea,41.951,-80.3305 +Eau Claire,41.1368,-79.7985 +The Hideout,41.4398,-75.3478 +Simpson,41.5945,-75.4813 +Yeadon,39.9325,-75.2527 +Warrior Run,41.1876,-75.9505 +Espy,41.0055,-76.4164 +South Renovo,41.3244,-77.743 +Paxtonville,40.7702,-77.0807 +Oakland,41.9506,-75.6095 +Dushore,41.525,-76.3987 +Westwood,39.9702,-75.8555 +Kapp Heights,40.8995,-76.809 +Harrison Valley,41.942,-77.6494 +Darby,39.921,-75.2611 +Karns City,40.997,-79.7263 +Bolivar,40.3952,-79.1521 +Emigsville,40.0085,-76.731 +Walnuttown,40.4467,-75.8405 +Progress,40.2905,-76.8382 +Casselman,39.8857,-79.2111 +State Line,39.7329,-77.7247 +Bessemer,40.9756,-80.4878 +New Washington,40.8218,-78.7019 +Lake City,42.018,-80.3466 +Sadsburyville,39.9818,-75.8913 +Lansford,40.8331,-75.8848 +Waynesboro,39.7525,-77.5822 +Eyers Grove,41.0934,-76.5188 +Catawissa,40.9531,-76.4604 +Dry Run,40.1676,-77.7539 +Holland,40.1729,-74.9927 +Albion,41.8904,-80.3641 +North Bend,41.3501,-77.7022 +Marion Heights,40.8035,-76.4641 +Bryn Mawr,40.0227,-75.3156 +Silverdale,40.3471,-75.2718 +Crafton,40.4333,-80.0712 +Honesdale,41.5774,-75.2524 +Bucktown,40.1748,-75.6621 +Fox Chapel,40.5247,-79.8898 +Lenhartsville,40.5729,-75.889 +Donegal,40.112,-79.3808 +White Mills,41.535,-75.2021 +Hollidaysburg,40.4311,-78.393 +Iola,41.1319,-76.5305 +Wind Ridge,39.9111,-80.432 +New Eagle,40.2064,-79.9532 +Orson,41.8137,-75.448 +Wesleyville,42.1369,-80.0123 +Howard,41.0127,-77.6575 +Lower Allen,40.2261,-76.9018 +Allentown,40.5961,-75.4756 +Strodes Mills,40.5487,-77.6751 +Sweet Valley,41.2823,-76.1447 +Yorkana,39.976,-76.5846 +Bradenville,40.3236,-79.3403 +Pleasant Unity,40.2395,-79.4509 +Armbrust,40.2237,-79.5512 +Dauphin,40.3684,-76.9296 +Hokendauqua,40.6584,-75.4952 +Meyersdale,39.8133,-79.0277 +Zion,40.9168,-77.6908 +North Apollo,40.5938,-79.5564 +Forest Hills,40.4251,-79.8544 +Arona,40.2683,-79.6578 +Adamstown,40.2417,-76.0608 +Glade Mills,40.7245,-79.9242 +Smicksburg,40.8701,-79.1712 +New Kingstown,40.2311,-77.0728 +Conneautville,41.7572,-80.3685 +Kennett Square,39.8438,-75.7113 +Cowden,40.3178,-80.197 +Brownstown,40.3334,-78.9373 +Penryn,40.2016,-76.3674 +Freedom,40.6849,-80.2533 +Womelsdorf,40.3655,-76.1857 +Dupont,41.3237,-75.7421 +Mifflintown,40.5712,-77.3951 +Starbrick,41.8419,-79.2133 +Clay,40.2186,-76.2399 +Blairsville,40.4325,-79.2599 +Lake Arthur Estates,40.9616,-80.1483 +Mildred,41.4781,-76.3783 +Halifax,40.4643,-76.933 +Vintondale,40.4795,-78.9114 +Enhaut,40.2324,-76.8254 +West View,40.5182,-80.0333 +Wilburton Number One,40.813,-76.3921 +Strasburg,39.9832,-76.1847 +Goshenville,39.9951,-75.5444 +Sharon,41.2339,-80.4997 +Mountville,40.0402,-76.4342 +Emporium,41.5102,-78.2363 +Wormleysburg,40.2606,-76.9097 +Green Lane,40.3362,-75.4709 +Soudersburg,40.0151,-76.1529 +Wyano,40.2015,-79.694 +Beaver Falls,40.762,-80.3225 +Middleburg,40.7893,-77.0446 +East Butler,40.8788,-79.8473 +Sheakleyville,41.4438,-80.2067 +Fairdale,39.8901,-79.968 +New Philadelphia,40.7178,-76.1167 +Stormstown,40.789,-78.0191 +Punxsutawney,40.9437,-78.9767 +Vanderbilt,40.0339,-79.6631 +Myoma,40.7301,-80.0256 +Factoryville,41.5602,-75.7822 +Milligantown,40.5584,-79.6759 +Laporte,41.418,-76.492 +Glen Rock,39.7935,-76.7307 +Fivepointville,40.1828,-76.0553 +Shirleysburg,40.2974,-77.8764 +Cashtown,39.8837,-77.3533 +Callimont,39.8011,-78.9216 +Creighton,40.5873,-79.7784 +Mount Wolf,40.0616,-76.7053 +Dornsife,40.7456,-76.7891 +Mount Union,40.3845,-77.8824 +Elimsport,41.1279,-77.0205 +Gastonville,40.2669,-80.0095 +Calumet,40.2189,-79.4892 +Fairville,39.8443,-75.6308 +Library,40.2898,-80.0098 +Ercildoun,39.9465,-75.8391 +Birmingham,40.6472,-78.1957 +Mamont,40.482,-79.5903 +Pine Glen,41.0888,-78.058 +Utica,41.4361,-79.9592 +Church Hill,40.6926,-77.5949 +Hellertown,40.5811,-75.3378 +Schlusser,40.2432,-77.1784 +Dingmans Ferry,41.2201,-74.8713 +Genesee,41.9892,-77.8658 +Dallastown,39.8996,-76.641 +West York,39.9534,-76.761 +Littlestown,39.7452,-77.0891 +Bradford Hills,40.0032,-75.648 +Eldred,41.9562,-78.3818 +Warrington,40.2493,-75.1341 +Sigel,41.2751,-79.1131 +Beech Mountain Lakes,41.0414,-75.9324 +Mifflinville,41.0307,-76.2995 +Dickson City,41.4683,-75.6358 +Manns Choice,40.0035,-78.5912 +Paintertown,40.3501,-79.6931 +Parker Ford,40.1995,-75.5838 +Newry,40.3935,-78.4358 +Wakefield,39.7766,-76.1804 +Fawn Lake Forest,41.5158,-75.0548 +Meadow Lands,40.2173,-80.23 +Jennersville,39.8232,-75.8697 +Almedia,41.0144,-76.385 +Mill Creek,40.4373,-77.9308 +Northern Cambria,40.6561,-78.7784 +Clifton Heights,39.9301,-75.2958 +Salisbury,39.7535,-79.0842 +Warrendale,40.6534,-80.0795 +Lyndora,40.8523,-79.927 +Wilson,40.6844,-75.2407 +Dunbar,39.9787,-79.6147 +Susquehanna,41.9434,-75.5996 +Dudley,40.2053,-78.1782 +Aspinwall,40.4929,-79.9037 +Briar Creek,41.0463,-76.2861 +Highcliff,40.5267,-80.0503 +Jacksonwald,40.328,-75.8412 +Pennsbury Village,40.4282,-80.1011 +Candor,40.392,-80.309 +Morrisdale,40.9484,-78.2278 +North Warren,41.8833,-79.1672 +Laurys Station,40.7232,-75.5366 +Southwest Greensburg,40.292,-79.5477 +Enola,40.2908,-76.9348 +McElhattan,41.1572,-77.3617 +Rutledge,39.901,-75.3274 +Cherry Tree,40.7253,-78.8085 +Guys Mills,41.6307,-79.9759 +Ashley,41.2128,-75.8994 +Rebersburg,40.9427,-77.444 +Pricedale,40.1315,-79.8442 +Lorain,40.296,-78.8961 +Leechburg,40.6303,-79.6022 +New Centerville,39.9423,-79.1916 +Upper Darby,39.9284,-75.2738 +Spring City,40.1768,-75.5466 +Marguerite,40.2637,-79.4634 +Little Britain,39.7745,-76.1121 +Muncy,41.2021,-76.7854 +Saxonburg,40.7509,-79.815 +Flourtown,40.1039,-75.2069 +Prompton,41.5891,-75.3275 +Franklin Park,40.5903,-80.0999 +Castanea,41.12,-77.4287 +Skyline View,40.3376,-76.7256 +Liberty,40.3244,-79.8589 +Hyde Park,40.6316,-79.5891 +Kiskimere,40.6178,-79.584 +Drifton,40.9998,-75.9055 +Millsboro,39.9902,-80.0022 +New Galilee,40.8334,-80.4009 +McAdoo,40.9009,-75.9924 +Westland,40.2789,-80.2732 +Smoketown,40.0388,-76.2038 +Stowe,40.2506,-75.682 +Buffington,39.9298,-79.8394 +Cairnbrook,40.1246,-78.819 +Marion,39.8607,-77.7016 +Avondale,39.8248,-75.7819 +Kistler,40.377,-77.8655 +Jersey Shore,41.2012,-77.2666 +Homer City,40.5403,-79.1597 +East Lansdowne,39.944,-75.2608 +Harveys Lake,41.3625,-76.0384 +Jerseytown,41.0889,-76.5804 +Buffalo,40.2265,-80.3603 +Hulmeville,40.1421,-74.9075 +Anita,41.0015,-78.9631 +Aldan,39.9224,-75.2882 +Edie,40.0863,-79.128 +Salladasburg,41.2783,-77.2275 +Dayton,40.8812,-79.241 +Pine Grove,40.5534,-76.386 +New Berlinville,40.3451,-75.6314 +Pleasantville,41.5935,-79.5808 +Hyde,41.0075,-78.4689 +Newburg,40.137,-77.5546 +Belfast,40.7833,-75.2755 +Niverton,39.7309,-79.1317 +Cetronia,40.5851,-75.5435 +New Morgan,40.1833,-75.8897 +Rowes Run,40.0089,-79.8177 +Palmer Heights,40.6907,-75.2671 +Saint Peters,40.1801,-75.7308 +Harmonsburg,41.6656,-80.3143 +Winfield,40.8998,-76.8578 +Union Dale,41.7154,-75.4819 +Derrick City,41.9706,-78.5714 +Stewartstown,39.7528,-76.5925 +Rankin,40.4111,-79.8812 +Shenandoah,40.8167,-76.2004 +McVeytown,40.4981,-77.7415 +Westover,40.7465,-78.6822 +Penn Estates,41.0346,-75.2417 +Belle Vernon,40.1256,-79.867 +Lincoln,40.2994,-79.8554 +Knoxville,41.9605,-77.4379 +Beach Lake,41.6018,-75.1499 +Lampeter,39.9909,-76.242 +Atwood,40.7501,-79.2601 +Etna,40.4975,-79.9475 +Gaines,41.752,-77.5575 +Fredericktown,40.0019,-80.0092 +Haysville,40.5268,-80.1561 +Bruin,41.0544,-79.7273 +Hastings,40.6647,-78.7094 +Parkesburg,39.9593,-75.9177 +Paulton,40.5706,-79.5748 +Auburn,40.5948,-76.0975 +Ohiopyle,39.869,-79.4947 +Riegelsville,40.5965,-75.1987 +Oval,41.1522,-77.1744 +Lima,39.9194,-75.4417 +Seven Fields,40.6867,-80.064 +Deemston,40.0273,-80.0334 +Jim Thorpe,40.8712,-75.7433 +Wellsboro,41.7459,-77.3031 +Delaware Water Gap,40.975,-75.1392 +Felton,39.857,-76.5611 +Biglerville,39.9303,-77.2463 +Gladden,40.3392,-80.1787 +Shinglehouse,41.9662,-78.1908 +Bowers,40.4849,-75.7423 +East Smithfield,41.8645,-76.6255 +Wilburton Number Two,40.8186,-76.3782 +Aristes,40.8155,-76.3395 +Bangor,40.8678,-75.2085 +Union City,41.897,-79.8437 +Stoneboro,41.3336,-80.1121 +Wellsville,40.0512,-76.9408 +Export,40.417,-79.6232 +Larimer,40.3453,-79.7264 +Spartansburg,41.824,-79.6829 +Maysville,40.5631,-79.4506 +Strattanville,41.2025,-79.3268 +Sheatown,41.1938,-76.0188 +Claysville,40.1199,-80.4131 +Bishop,40.3206,-80.187 +Lake Ariel,41.454,-75.3827 +Clearfield,41.0216,-78.439 +Manheim,40.163,-76.3963 +Millbourne,39.9638,-75.2527 +Mount Joy,40.1105,-76.5065 +Mahanoy City,40.8126,-76.1382 +Rossiter,40.8991,-78.9356 +Bushkill,41.0934,-75.0018 +Mont Clare,40.139,-75.5024 +Newtown,40.229,-74.9324 +Blue Ball,40.1157,-76.0517 +Strong,40.7975,-76.4401 +South Montrose,41.7973,-75.8913 +Luzerne,41.2867,-75.8967 +Table Rock,39.9123,-77.2229 +Connoquenessing,40.8173,-80.0152 +New Lebanon,41.4196,-80.0755 +Bulger,40.3767,-80.323 +Newport,40.4792,-77.1336 +Lincoln Park,40.3147,-75.9886 +Rheems,40.1256,-76.5734 +Penbrook,40.278,-76.8484 +Bobtown,39.7603,-79.9844 +Tylersville,40.9906,-77.425 +Sankertown,40.4714,-78.5921 +Trevose,40.1509,-74.982 +Souderton,40.311,-75.3223 +Burnham,40.6352,-77.5631 +Milford Square,40.4325,-75.4056 +West Hamburg,40.5524,-76.002 +Aladdin,40.6917,-79.6567 +Warwick,40.1651,-75.7838 +Leesport,40.4452,-75.9686 +Herminie,40.2635,-79.7136 +East Berwick,41.0654,-76.2208 +Ickesburg,40.4559,-77.3517 +Williamstown,40.5809,-76.617 +Yatesville,41.3037,-75.7825 +Linden,40.2281,-80.1409 +Saxton,40.2127,-78.247 +Saint Lawrence,40.326,-75.8659 +Bacton,40.0568,-75.5863 +Long Branch,40.0983,-79.8801 +Crenshaw,41.2488,-78.7541 +Glenfield,40.5207,-80.1333 +South Philipsburg,40.887,-78.2185 +Campbelltown,40.2761,-76.5848 +Harleysville,40.2791,-75.3872 +Criders Corners,40.6859,-80.1006 +Sunset Valley,40.3053,-79.7392 +Sugar Grove,41.9837,-79.3395 +Rimersburg,41.0409,-79.5024 +Thompsontown,40.5657,-77.2363 +Beaver,40.6936,-80.3074 +Pleasant View,40.6121,-79.5711 +Mount Oliver,40.4113,-79.9856 +Patton,40.6325,-78.6499 +Ehrenfeld,40.3743,-78.7761 +North Philipsburg,40.9092,-78.2088 +Colwyn,39.9119,-75.253 +Ursina,39.8153,-79.3325 +Monaca,40.6833,-80.2736 +Vandling,41.631,-75.4703 +Temple,40.4085,-75.9225 +Rixford,41.9262,-78.4942 +East Stroudsburg,41.0023,-75.1779 +Brooklyn,41.7512,-75.8069 +Mansfield,41.8062,-77.0787 +Portage,40.3869,-78.6747 +North Irwin,40.3389,-79.7115 +Benson,40.2027,-78.9293 +Bethany,41.6143,-75.2872 +Marcus Hook,39.8131,-75.4165 +Heidlersburg,39.9504,-77.1493 +Matamoras,41.3666,-74.6997 +Vanport,40.6845,-80.329 +Blandon,40.4446,-75.8799 +Force,41.2581,-78.5035 +Cammal,41.4034,-77.463 +Jacobus,39.8825,-76.7121 +Bethlehem,40.6266,-75.3679 +Mingoville,40.937,-77.6597 +Carroll Valley,39.7499,-77.3805 +Coraopolis,40.5148,-80.1627 +Stockdale,40.0833,-79.8509 +Yoe,39.9094,-76.6368 +Imperial,40.4537,-80.2499 +James City,41.618,-78.8443 +Sidman,40.3235,-78.7523 +West Alexander,40.107,-80.5092 +Siglerville,40.7367,-77.5319 +New Market,40.2231,-76.8562 +Bowmansville,40.203,-76.0198 +Houtzdale,40.8251,-78.351 +Fairoaks,40.5795,-80.2167 +Linesville,41.6564,-80.4224 +Oxford,39.7858,-75.9801 +Tipton,40.6359,-78.3001 +North Catasauqua,40.664,-75.4741 +Marienville,41.4688,-79.1181 +Rogersville,39.8807,-80.2693 +Orchard Hills,40.5849,-79.5416 +Waller,41.2337,-76.4216 +Mount Pleasant,40.151,-79.5435 +Houston,40.2494,-80.211 +East Berlin,39.9369,-76.9794 +Muir,40.5943,-76.5186 +Youngwood,40.2443,-79.5812 +Wellersburg,39.7306,-78.848 +Dryville,40.4623,-75.7532 +Exton,40.0307,-75.6303 +Southmont,40.3108,-78.9327 +Pittston,41.3274,-75.7885 +Farmersville,40.129,-76.1558 +Rose Tree,39.9343,-75.3902 +Saint Marys,41.4574,-78.5342 +New Beaver,40.8773,-80.3702 +Rosslyn Farms,40.4224,-80.0886 +Brookhaven,39.8715,-75.3918 +Leeper,41.3704,-79.3056 +Browntown,41.3138,-75.7826 +Milford,41.3238,-74.8011 +Bellevue,40.4945,-80.055 +Bird in Hand,40.0372,-76.1862 +Collingdale,39.9151,-75.2776 +Bridgeville,40.3578,-80.1061 +Salunga,40.0929,-76.4279 +Greenwood,40.5326,-78.3589 +Schuylkill Haven,40.6284,-76.1729 +Eddystone,39.8566,-75.3342 +Trucksville,41.3101,-75.9281 +Sardis,40.4917,-79.6917 +Mount Pocono,41.1225,-75.3582 +Orviston,41.1073,-77.7533 +Berwick,41.0555,-76.2492 +Prospectville,40.2118,-75.1857 +West Nanticoke,41.2202,-76.0095 +New Alexandria,40.3945,-79.4175 +Vicksburg,40.9384,-76.9905 +Wilkes-Barre,41.2468,-75.8759 +Shrewsbury,39.7714,-76.6799 +Alfarata,40.662,-77.4558 +Milton,41.0089,-76.8506 +McKeesport,40.3419,-79.8439 +Glen Lyon,41.1796,-76.0782 +Wagner,40.6801,-77.3877 +Gilberton,40.7961,-76.2235 +Slate Lick,40.767,-79.6428 +Cochranville,39.8905,-75.9241 +Oakmont,40.52,-79.8365 +Montgomeryville,40.2502,-75.2405 +Meridian,40.8531,-79.9555 +Christy Manor,40.7384,-79.5287 +New Freedom,39.7353,-76.6967 +Hop Bottom,41.7053,-75.7674 +Newell,40.0748,-79.8897 +Northvue,40.9206,-79.932 +Duboistown,41.2228,-77.0381 +Maple Glen,40.1777,-75.1793 +West Lawn,40.3289,-75.9939 +South Uniontown,39.8939,-79.7465 +West Brownsville,40.0314,-79.8913 +Morrisville,40.2074,-74.7797 +Gouldsboro,41.2428,-75.4448 +Bauerstown,40.4959,-79.9764 +Adamsville,41.5114,-80.3703 +Chester,39.8456,-75.3719 +West Decatur,40.929,-78.2827 +Beaverdale,40.3242,-78.7013 +Newfoundland,41.3073,-75.3199 +Brownsville,40.0188,-79.8911 +Glenside,40.1032,-75.1517 +Ellwood City,40.8619,-80.283 +Groveton,40.504,-80.1403 +Blandburg,40.6838,-78.4158 +Spring Mount,40.2755,-75.4651 +Sun Valley,40.98,-75.4688 +Kimberton,40.1307,-75.5721 +Brookville,41.1615,-79.0827 +Springmont,40.3274,-76.0043 +Brisbin,40.8395,-78.3526 +Pleasant Valley,40.379,-79.6737 +Foster Brook,41.9793,-78.6063 +Mill Village,41.8775,-79.9726 +Pocono Mountain Lake Estates,41.1567,-74.9646 +Salina,40.5217,-79.4981 +Newtown Square,39.9868,-75.401 +Greenville,41.4052,-80.3837 +Houserville,40.8266,-77.8226 +Millheim,40.8936,-77.4765 +Rehrersburg,40.4575,-76.2462 +Lawrence,40.3042,-80.1185 +Schellsburg,40.0481,-78.6434 +Five Points,40.5717,-80.2559 +Wernersville,40.3302,-76.082 +Point Marion,39.7355,-79.9008 +Baidland,40.1888,-79.9533 +Ambler,40.1564,-75.2215 +Bradford,41.9604,-78.6413 +Green Tree,40.417,-80.0544 +Brandywine Manor,40.0615,-75.8097 +Marshallton,39.9498,-75.6802 +Orrstown,40.0589,-77.6081 +Tullytown,40.1401,-74.8107 +East Vandergrift,40.5973,-79.563 +New Berlin,40.8805,-76.9842 +Cementon,40.689,-75.5161 +Gold,41.872,-77.8372 +Wall,40.3916,-79.7859 +Greeley,41.4212,-74.9952 +Gettysburg,39.8304,-77.2339 +Hebron,40.339,-76.3989 +Crosby,41.7451,-78.3903 +Stroudsburg,40.9838,-75.1972 +Roaring Spring,40.3348,-78.3959 +Harmony,40.8015,-80.125 +Feasterville,40.154,-74.9915 +Bovard,40.3198,-79.5034 +Nesquehoning,40.8659,-75.8322 +Pocono Pines,41.1149,-75.4589 +McSherrystown,39.8035,-77.0199 +Springdale,40.5409,-79.782 +Central City,40.1096,-78.8043 +Graterford,40.2257,-75.4546 +Geneva,41.5621,-80.226 +Berrysburg,40.6029,-76.8102 +Mohrsville,40.4781,-75.9852 +Quentin,40.2792,-76.4352 +Fernville,41.0024,-76.4752 +Shillington,40.303,-75.967 +Allenport,40.0923,-79.8565 +West Wyoming,41.3217,-75.8578 +Knox,41.2346,-79.536 +East Uniontown,39.896,-79.6976 +Jacksonville,40.5652,-79.2952 +Ferndale,40.2884,-78.918 +Wynnewood,40.0029,-75.2707 +Treveskyn,40.3487,-80.1548 +Slatedale,40.7439,-75.6583 +Rauchtown,41.1261,-77.2363 +Oil City,41.4282,-79.7035 +Hyndman,39.8207,-78.7214 +Lionville,40.0524,-75.644 +Morgan,40.3542,-80.1398 +Lewisburg,40.9642,-76.8901 +Conneaut Lake,41.6023,-80.3094 +Prospect,40.8992,-80.0487 +Girard,42.0041,-80.3192 +Alba,41.7059,-76.8277 +East Pittsburgh,40.3969,-79.8382 +Culmerville,40.6542,-79.8389 +Hallam,40.0024,-76.6042 +Ronks,40.0267,-76.171 +Riddlesburg,40.162,-78.2545 +Corsica,41.1817,-79.2027 +La Quinta,33.6536,-116.2785 +Saint Helena,38.5044,-122.4681 +Burney,40.8846,-121.6691 +Kensington,37.9084,-122.2805 +Upper Lake,39.1653,-122.9052 +Pleasant Hill,37.954,-122.0759 +Leggett,39.8635,-123.7253 +Pomona,34.0585,-117.7625 +Fieldbrook,40.9722,-124.025 +Oakdale,37.7616,-120.847 +Thermalito,39.4908,-121.615 +Honda,34.6155,-120.6335 +Knights Landing,38.7979,-121.7176 +Big Oak Flat,37.8235,-120.2582 +Guerneville,38.5137,-122.9894 +Upland,34.1178,-117.6603 +Riverbank,37.7268,-120.9402 +Waterloo,38.0365,-121.1846 +Montrose,34.2064,-118.2242 +Industry,34.0175,-117.9268 +Jacumba Hot Springs,32.6278,-116.1827 +Amador City,38.419,-120.8232 +Brea,33.9255,-117.8654 +Bella Vista,40.6502,-122.245 +San Jacinto,33.797,-116.9915 +Redding,40.5698,-122.365 +Exeter,36.294,-119.1459 +Goshen,36.3518,-119.421 +Templeton,35.556,-120.7182 +East Nicolaus,38.91,-121.5443 +Hercules,38.0064,-122.2564 +Johnsville,39.7663,-120.713 +Biola,36.8006,-120.0199 +Moorpark,34.2855,-118.877 +Windsor,38.5418,-122.8086 +El Monte,34.074,-118.0291 +Calistoga,38.5818,-122.5825 +Bucks Lake,39.8798,-121.1941 +Wilseyville,38.3791,-120.5146 +Igo,40.5054,-122.5417 +Hat Creek,40.8101,-121.4809 +Mesa Verde,33.5957,-114.7316 +Sebastopol,38.4001,-122.8277 +Avery,38.1939,-120.379 +Tionesta,41.646,-121.328 +McKittrick,35.298,-119.625 +Clearlake,38.959,-122.633 +Sawyers Bar,41.2974,-123.1303 +Cajon Junction,34.3117,-117.4748 +Irwin,37.3969,-120.8499 +Burbank,34.1879,-118.3234 +Discovery Bay,37.9071,-121.6076 +North San Juan,39.3718,-121.106 +Rancho Santa Margarita,33.6318,-117.5989 +Komandorski Village,37.716,-121.9088 +Casa Conejo,34.1848,-118.9445 +South Whittier,33.9336,-118.0311 +Manhattan Beach,33.8895,-118.3972 +Green Valley,34.6172,-118.4059 +Orleans,41.3015,-123.5412 +Quincy,39.931,-120.9548 +Rolling Hills,33.76,-118.3471 +Leona Valley,34.6147,-118.299 +Valley Ford,38.3246,-122.9148 +Kelso,35.0125,-115.6536 +Pope Valley,38.6152,-122.4278 +Montgomery Creek,40.8415,-121.9215 +Orangevale,38.688,-121.2208 +Ahwahnee,37.3652,-119.7194 +Quartz Hill,34.6527,-118.2163 +Vernon,34.0019,-118.2106 +Corning,39.9282,-122.182 +Maywood,33.9885,-118.1877 +La Habra Heights,33.9603,-117.9509 +Thousand Palms,33.815,-116.3545 +Three Rivers,36.4319,-118.8806 +Angwin,38.5776,-122.4512 +Centerville,36.7361,-119.4961 +East Palo Alto,37.4671,-122.1352 +Mount Hermon,37.0511,-122.0533 +Forestville,38.4825,-122.8899 +South San Gabriel,34.0489,-118.0962 +Valley Acres,35.2087,-119.4106 +Westhaven,41.036,-124.1112 +Del Mar,32.9633,-117.2627 +Lakewood,33.8471,-118.1221 +Interlaken,36.9505,-121.7363 +Irvine,33.6772,-117.7738 +Woodacre,38.0052,-122.6384 +Windsor Hills,33.9889,-118.354 +Miranda,40.2288,-123.8173 +Greenview,41.5471,-122.9185 +Nevada City,39.2607,-121.0232 +Sunset Beach,33.7164,-118.069 +Big Lagoon,41.1592,-124.1303 +Silver Lakes,34.7519,-117.3431 +Sunnymead,33.94,-117.2437 +Buckhorn,38.4532,-120.5354 +Topanga,34.0964,-118.6053 +Norco,33.9253,-117.55 +Knightsen,37.9633,-121.6511 +Maxwell,39.2771,-122.1946 +Rocklin,38.8075,-121.2488 +Carmel Valley Village,36.4824,-121.7198 +Cameron Park,38.6737,-120.9872 +Salinas,36.6881,-121.6316 +West Rancho Dominguez,33.9057,-118.2683 +Poplar,36.0533,-119.1432 +Pinehurst,36.6952,-119.0165 +San Miguel,35.7534,-120.6924 +Goffs,34.9192,-115.0628 +Newark,37.5204,-122.0312 +Apple Valley,34.5329,-117.2102 +Del Rosa,34.1489,-117.2434 +Bell Gardens,33.9663,-118.155 +Lodi,38.1218,-121.2932 +Montague,41.7275,-122.5302 +Foster City,37.5553,-122.2659 +Orcutt,34.8668,-120.4268 +Ladera,37.3996,-122.1991 +Fairview,37.676,-122.0481 +Vallejo,38.1133,-122.2359 +Vidal,34.1189,-114.5102 +Challenge,39.4874,-121.2236 +La Riviera,38.5684,-121.3544 +Indio,33.7346,-116.2346 +Jamul,32.7184,-116.8709 +Foresthill,39.0053,-120.8313 +Rainbow,33.4098,-117.1394 +Redcrest,40.3987,-123.9474 +Sunnyside,36.7294,-119.6945 +Hodge,34.8155,-117.1934 +Tiburon,37.8854,-122.4637 +Hesperia,34.3974,-117.3144 +Jamestown,37.9574,-120.411 +Azusa,34.1386,-117.9124 +Narod,34.0581,-117.6845 +Big Bear Lake,34.243,-116.8956 +Yosemite Lakes,37.1886,-119.7723 +Morongo Valley,34.0724,-116.5627 +Concow,39.7733,-121.5196 +Dardanelle,38.341,-119.8338 +Helendale,34.7439,-117.3245 +Fall River Mills,41.0069,-121.4401 +Emeryville,37.8382,-122.2932 +Fairhaven,40.7884,-124.2014 +Elverta,38.7185,-121.4455 +Paradise Park,37.0062,-122.0425 +Aspen Springs,37.55,-118.7087 +Hollister,36.8563,-121.3981 +Fair Oaks,38.6504,-121.2497 +Vina,39.9343,-122.0518 +Brooktrails,39.4429,-123.3963 +Whitethorn,40.0238,-123.9431 +Meiners Oaks,34.4505,-119.2731 +Valinda,34.04,-117.9301 +Paskenta,39.8833,-122.5456 +Winter Gardens,32.8376,-116.9269 +Tupman,35.2987,-119.3577 +Cherokee,39.6514,-121.5345 +Sand City,36.6189,-121.8478 +Rancho Santa Fe,33.024,-117.1992 +Buellton,34.6152,-120.1943 +Waterford,37.6429,-120.7553 +Silverado,33.7461,-117.637 +Golden Hills,35.1512,-118.5024 +Dorrington,38.2949,-120.2706 +Posey,35.8038,-118.6787 +Loleta,40.6409,-124.2225 +McKinleyville,40.9489,-124.0857 +Cathedral City,33.8363,-116.4642 +Minkler,36.7277,-119.4587 +Pike,39.4278,-120.9996 +Pine Flat,35.8737,-118.6427 +Rolinda,36.7352,-119.9618 +Hinkley,34.9347,-117.1992 +Dos Rios,39.7168,-123.3533 +Weedpatch,35.2369,-118.9123 +Cayucos,35.4375,-120.8847 +Fallbrook,33.3693,-117.2258 +Emerald Bay,33.5525,-117.8092 +Buena Park,33.8572,-118.0046 +Panorama Heights,33.7778,-117.7981 +Trinidad,41.0589,-124.1434 +Farmington,37.9299,-121.0044 +Mono Vista,38.0124,-120.2697 +Shore Acres,38.0358,-121.9655 +Saranap,37.8878,-122.0761 +Kelseyville,38.9704,-122.8327 +Downey,33.9379,-118.1312 +Castle Park,32.6103,-117.0675 +Omo Ranch,38.5813,-120.5733 +Williams,39.1489,-122.1373 +West Athens,33.9235,-118.3033 +Santa Ana Heights,33.6525,-117.8956 +Pinedale,36.8427,-119.7899 +El Segundo,33.9169,-118.4021 +Forbestown,39.5301,-121.2689 +Paso Robles,35.6266,-120.691 +Los Altos,37.3685,-122.0966 +Bakersfield,35.353,-119.036 +Black Point,38.1102,-122.5055 +Ludlow,34.7211,-116.16 +Cutler,36.5262,-119.2884 +San Bernardino,34.1412,-117.2936 +Long Barn,38.0957,-120.1285 +June Lake,37.7677,-119.1022 +Walnut Grove,38.2478,-121.528 +Encinitas,33.0492,-117.2613 +Ravendale,40.7985,-120.3652 +Rubidoux,33.9961,-117.4056 +Loomis,38.8093,-121.1955 +Trowbridge,38.9263,-121.5148 +Santa Fe Springs,33.933,-118.0625 +Twain,40.0355,-121.0404 +Eldridge,38.3338,-122.5065 +Honeydew,40.2443,-124.1228 +Old Station,40.6722,-121.4228 +Paradise,39.7558,-121.6063 +Granite Bay,38.7601,-121.1714 +Covelo,39.8025,-123.2499 +American Canyon,38.1798,-122.2583 +Palm Desert,33.7378,-116.3695 +Whittier,33.9678,-118.0188 +Spring Garden,39.9012,-120.7936 +Pacheco,37.9878,-122.07 +Cowan Heights,33.7778,-117.7739 +Millville,40.5576,-122.1696 +East Orosi,36.5481,-119.2599 +Almonte,37.8899,-122.525 +Eagleville,41.3191,-120.1146 +Soda Springs,39.3248,-120.3785 +Pine Hills,40.7313,-124.1551 +Washington,39.3592,-120.7905 +Garlock,35.4025,-117.7901 +Duarte,34.1609,-117.9505 +Rockport,39.7388,-123.8161 +Perez,41.6763,-121.2542 +Sanger,36.6992,-119.5576 +Chula Vista,32.6281,-117.0145 +Indianola,40.8133,-124.0808 +Mammoth Lakes,37.6273,-118.99 +Dustin Acres,35.2159,-119.375 +Jackson,38.3485,-120.7728 +Di Giorgio,35.2527,-118.8515 +Phoenix Lake,38.0075,-120.3089 +Adelanto,34.5815,-117.4395 +China Lake Acres,35.6387,-117.7667 +Vinton,39.8043,-120.1783 +Rio Del Mar,36.9608,-121.8808 +Fort Jones,41.6085,-122.8411 +Conejo,36.5183,-119.719 +Twentynine Palms,34.1484,-116.0655 +Mount Laguna,32.8711,-116.4247 +Rail Road Flat,38.3168,-120.491 +Sutter,39.1557,-121.7492 +Cleone,39.4927,-123.7812 +Caribou,40.0761,-121.1617 +Zayante,37.0888,-122.0414 +Cupertino,37.3168,-122.0465 +Tennant,41.5816,-121.9149 +Terra Bella,35.9567,-119.0328 +Stratford,36.1885,-119.8223 +Charter Oak,34.1025,-117.8564 +Dollar Point,39.1905,-120.1089 +Edgemont,33.9203,-117.2787 +Palm Springs,33.8013,-116.5381 +Mettler,35.0635,-118.9729 +Ukiah,39.1462,-123.2104 +Trona,35.7627,-117.3728 +Fullerton,33.8841,-117.9279 +Coto De Caza,33.5961,-117.5862 +Applegate,39.0007,-120.9924 +Lompoc,34.6618,-120.4714 +Tuttletown,38.0003,-120.4503 +East Richmond Heights,37.945,-122.314 +Victorville,34.5277,-117.3537 +Bagdad,34.5828,-115.8756 +Desert Shores,33.4041,-116.0394 +Hiouchi,41.7937,-124.0661 +Idyllwild,33.74,-116.7189 +Crescent City,41.7727,-124.1902 +Riverdale Park,37.6028,-121.0425 +Mariposa,37.4873,-119.9682 +East Oakdale,37.7854,-120.8007 +Anaheim,33.839,-117.8572 +Coronado,32.664,-117.16 +Laytonville,39.6715,-123.4945 +Westend,35.7069,-117.3923 +Wasco,35.5938,-119.3673 +Fillmore,34.3989,-118.9181 +Delano,35.767,-119.2637 +Campbell,37.2803,-121.9542 +Lynwood,33.924,-118.2017 +Winterhaven,32.7372,-114.6378 +Lake Almanor Peninsula,40.2812,-121.1345 +Hood,38.3693,-121.5155 +Ignacio,38.0702,-122.5386 +Temecula,33.4928,-117.1314 +Irwindale,34.1121,-117.9637 +Los Gatos,37.2307,-121.9563 +Big Bend,41.0109,-121.924 +Arrowbear Lake,34.2108,-117.0834 +Clarksburg,38.4193,-121.5416 +Bonny Doon,37.0435,-122.1369 +Tollhouse,37.0188,-119.3993 +Georgetown,38.9111,-120.8356 +Mendota,36.7555,-120.3777 +Trinity Center,40.9841,-122.7083 +Benbow,40.0602,-123.7653 +Newman,37.3157,-121.0211 +Furnace Creek,36.4277,-116.8747 +Eucalyptus Hills,32.885,-116.9453 +Owenyo,36.6783,-118.0443 +Fetters Hot Springs,38.3199,-122.4861 +Freeport,38.4636,-121.5022 +Grayson,37.565,-121.1794 +San Anselmo,37.9821,-122.5699 +Kneeland,40.7612,-123.9948 +Ashland,37.6942,-122.1159 +Big River,34.1393,-114.3604 +Roads End,35.9266,-118.4993 +Kerman,36.7249,-120.0625 +Laguna Woods,33.6099,-117.7299 +Marina del Rey,33.9765,-118.4486 +Graeagle,39.7572,-120.6486 +Solromar,34.05,-118.9537 +Suncrest,32.8042,-116.8645 +Indio Hills,33.8411,-116.2484 +Pollock Pines,38.7564,-120.5904 +Loyola,37.3501,-122.098 +Rancho Calaveras,38.1249,-120.857 +Westmorland,33.0389,-115.6223 +Hidden Hills,34.1637,-118.6612 +Cima,35.2378,-115.4992 +La Honda,37.3182,-122.2651 +Storrie,39.9239,-121.3188 +Menlo Park,37.4686,-122.1671 +Corona,33.862,-117.5644 +Alamo,37.8546,-122.0131 +Cherokee Strip,35.4698,-119.2617 +Walnut Creek,37.9025,-122.0398 +Fresno,36.7834,-119.7941 +Bootjack,37.4672,-119.8887 +Pasadena,34.1598,-118.139 +Hobergs,38.8435,-122.7244 +San Marcos,33.1349,-117.1744 +Badger,36.6313,-119.0132 +Milpitas,37.4338,-121.8921 +Oakhurst,37.3342,-119.6483 +Hillsborough,37.5573,-122.3587 +Valley Home,37.8272,-120.9143 +Tranquillity,36.648,-120.2526 +Wofford Heights,35.7127,-118.4731 +Three Rocks,36.5051,-120.3936 +National City,32.6654,-117.0983 +Diablo Grande,37.4006,-121.2699 +Piedmont,37.8226,-122.2301 +Malibu,34.0368,-118.7845 +Aguanga,33.4522,-116.8555 +Mayflower Village,34.1159,-118.0096 +Casmalia,34.8376,-120.5311 +Lamont,35.2651,-118.9159 +Lake San Marcos,33.1198,-117.2089 +Los Alamitos,33.7972,-118.0594 +Bieber,41.1251,-121.1336 +Nipton,35.4667,-115.2722 +Hawaiian Gardens,33.8303,-118.0728 +Arcadia,34.1342,-118.0373 +Rodeo,38.0368,-122.2526 +Monta Vista,37.3227,-122.058 +Vidal Junction,34.1886,-114.5741 +Hackamore,41.5518,-121.1236 +Parksdale,36.9462,-120.0218 +West Point,38.4043,-120.5374 +Madison,38.675,-121.9702 +Yreka,41.7292,-122.6311 +Denair,37.5262,-120.7994 +Gustine,37.2545,-120.9948 +Dunnigan,38.8926,-121.9741 +Clio,39.7487,-120.5725 +Florin,38.4832,-121.4042 +Boulevard,32.664,-116.2896 +Pedley,33.9753,-117.4758 +Scotland,34.2422,-117.4981 +Fairfield,38.2594,-122.0319 +Crest,32.8,-116.8671 +Richfield,39.9738,-122.1733 +Firebaugh,36.8534,-120.4537 +Glen Avon,34.0117,-117.4848 +Gaviota,34.4717,-120.2149 +Calexico,32.6849,-115.4944 +Belden,40.004,-121.2539 +Porterville,36.0644,-119.0337 +Mission Viejo,33.6095,-117.6551 +Redwood Terrace,37.3147,-122.295 +Junction City,40.7274,-123.0615 +Pleasanton,37.6664,-121.8805 +Richgrove,35.7966,-119.1069 +Vista,33.1895,-117.2387 +Mount Shasta,41.3206,-122.315 +Green Acres,33.735,-117.0783 +Big Pine,37.1655,-118.2951 +Chubbuck,34.365,-115.2861 +Gerber,40.0614,-122.1482 +Carson,33.8374,-118.2559 +Sleepy Hollow,33.9478,-117.7787 +Borrego Springs,33.241,-116.3571 +Tuolumne City,37.9615,-120.2428 +McArthur,41.0415,-121.4068 +Hoopa,41.0803,-123.6972 +Tracy,37.726,-121.444 +Arnold,38.2423,-120.3547 +Gardena,33.8944,-118.3073 +Marinwood,38.0383,-122.5378 +North Auburn,38.9306,-121.082 +Palo Alto,37.3913,-122.1467 +Lomita,33.7933,-118.3175 +Vine Hill,38.007,-122.0873 +Carnelian Bay,39.2346,-120.0767 +Clifton,33.8275,-118.3797 +Graniteville,39.4443,-120.7361 +McCloud,41.254,-122.136 +Empire,37.6432,-120.9045 +East Shore,40.2452,-121.0768 +Meadow Valley,39.9322,-121.0831 +Chino Hills,33.9508,-117.7254 +Pacifica,37.6112,-122.4781 +Cowell,37.9527,-121.9894 +Hamilton Branch,40.2772,-121.0961 +Columbia,38.0333,-120.4097 +El Sobrante,37.9723,-122.296 +Hilt,41.9949,-122.6234 +Signal Hill,33.8029,-118.1682 +Granite Hills,32.8033,-116.9056 +Santa Maria,34.9333,-120.4432 +Murphys,38.1447,-120.4348 +Willowbrook,33.9199,-118.2362 +Hyampom,40.6262,-123.4689 +Westside,36.4042,-120.1344 +Easton,36.6524,-119.7908 +Shackelford,37.6138,-120.9927 +El Casco,33.9811,-117.1184 +Keyes,37.5618,-120.9089 +Wildomar,33.6173,-117.2582 +Laguna Beach,33.5449,-117.7613 +Spring Valley Lake,34.4998,-117.2686 +San Diego Country Estates,33.0093,-116.7874 +Burnt Ranch,40.8111,-123.5082 +Indian Falls,40.0587,-120.9803 +Hartley,38.4203,-121.9521 +Santa Barbara,34.4285,-119.7202 +Mecca,33.5767,-116.0645 +Tahoe City,39.1721,-120.1388 +Wilton,38.413,-121.2127 +Fort Bragg,39.4414,-123.8033 +Temple City,34.1022,-118.0579 +Alta Sierra,39.1237,-121.0523 +Orange,33.8038,-117.8219 +Rice,34.0836,-114.8497 +North Edwards,35.0474,-117.8093 +Pasatiempo,37.0035,-122.0265 +Hidden Meadows,33.2236,-117.1198 +Lake Elsinore,33.6843,-117.3348 +College City,39.0063,-122.0068 +Mineral,40.3755,-121.5694 +Portola Valley,37.3713,-122.2203 +Plaster City,32.7926,-115.8586 +Moonstone,41.0301,-124.1095 +Sunnyvale,37.3835,-122.0257 +Sattley,39.6265,-120.4357 +Burrel,36.4883,-119.9851 +San Bruno,37.6254,-122.4313 +Monolith,35.12,-118.3742 +Maltby,38.0149,-122.0702 +Cedarville,41.5281,-120.1748 +Cholame,35.7239,-120.2965 +Lake Arrowhead,34.2531,-117.1945 +Suisun,38.2471,-122.0086 +Wheeler Ridge,35.0044,-118.9495 +Proberta,40.0762,-122.1776 +Wilsonia,36.7346,-118.9558 +Thornton,38.231,-121.425 +Vista Santa Rosa,33.6227,-116.2126 +Cassel,40.9213,-121.5515 +Devore,34.2164,-117.4014 +Little Grass Valley,39.7252,-120.9591 +August,37.9796,-121.2625 +Vallecito,38.074,-120.4563 +Watsonville,36.9205,-121.7706 +Malaga,36.6816,-119.7318 +Bray,41.644,-121.9708 +Westmont,33.9417,-118.3018 +Allensworth,35.85,-119.3892 +Calabasas,34.1375,-118.6689 +Monterey Park,34.0497,-118.1325 +Fields Landing,40.7249,-124.2176 +Earlimart,35.8824,-119.2715 +Pine Valley,32.8415,-116.5107 +San Rafael,37.9905,-122.5222 +Costa Mesa,33.6667,-117.9135 +Garey,34.8869,-120.3141 +Roseville,38.7691,-121.3178 +El Toro,33.647,-117.6837 +Weott,40.3226,-123.9209 +Del Aire,33.9168,-118.3693 +Livermore,37.6861,-121.7608 +Herndon,36.8366,-119.9174 +Essex,34.7336,-115.245 +Butte Meadows,40.0871,-121.5369 +Lenwood,34.8845,-117.1091 +College Heights,34.1067,-117.6892 +Oak Glen,34.0449,-116.9495 +Desert Hot Springs,33.9551,-116.543 +Onyx,35.6839,-118.2102 +Coachella,33.6905,-116.143 +Oasis,33.5275,-116.1261 +Termo,40.8657,-120.4602 +Sierra Madre,34.1687,-118.0504 +Green Valley Lake,34.2408,-117.0773 +Elkhorn,36.8103,-121.7211 +Carmichael,38.6336,-121.3229 +Soulsbyville,37.9917,-120.2617 +Sausalito,37.858,-122.4932 +San Benito,36.5097,-121.0819 +Tajiguas,34.4667,-120.1085 +Hughson,37.602,-120.866 +Beckwourth,39.8485,-120.4111 +Pond,35.7177,-119.3287 +Hartland,36.6518,-118.9552 +Cuyama,34.9312,-119.6148 +Ceres,37.5953,-120.9625 +Smartsville,39.2053,-121.2928 +Holtville,32.8129,-115.3779 +Fish Camp,37.4797,-119.6373 +Glen Ellen,38.3564,-122.5412 +Janesville,40.2809,-120.5335 +Turlock,37.5053,-120.8588 +Bassett,34.0497,-117.9967 +Greeley Hill,37.7569,-120.1291 +San Antonio Heights,34.157,-117.659 +Round Mountain,40.8005,-121.9375 +Palomar Park,37.4816,-122.2644 +Muir Beach,37.8654,-122.5857 +Lakeshore,37.253,-119.1748 +Cypress,33.8171,-118.0386 +Delhi,37.4306,-120.7759 +Gold River,38.6267,-121.2486 +Lake Almanor West,40.2336,-121.2021 +Blythe,33.6222,-114.6189 +Acampo,38.1735,-121.2798 +Cedar Grove,36.7908,-118.6704 +Morada,38.0386,-121.2456 +Eureka,40.7941,-124.1568 +West Puente Valley,34.0512,-117.9681 +Newberry Springs,34.8272,-116.6884 +Pittsburg,38.019,-121.8969 +Glenview,32.8323,-116.9059 +Deer Park,38.5362,-122.468 +Red Bluff,40.1735,-122.2413 +Gilroy,37.0047,-121.5843 +Waukena,36.1361,-119.5109 +Maricopa,35.0516,-119.4053 +Nicasio,38.0605,-122.7009 +San Marino,34.1224,-118.1132 +Huntington Park,33.98,-118.2167 +Piñon Hills,34.4438,-117.6214 +Rosemead,34.0688,-118.0823 +Colusa,39.2049,-122.0095 +Iron Horse,39.7805,-120.4823 +Palo Verde,33.4279,-114.7273 +Parlier,36.6082,-119.5437 +Spreckels,36.6247,-121.6465 +El Rio,34.2453,-119.1568 +Commerce,33.9963,-118.1519 +Creston,35.5173,-120.521 +Mabie,39.7771,-120.5447 +Arcata,40.862,-124.0754 +Crows Landing,37.3947,-121.0843 +Lockwood,35.9412,-121.0802 +Canby,41.4477,-120.8843 +Lake Davis,39.8564,-120.463 +Julian,33.0735,-116.5889 +Desert Edge,33.9223,-116.4401 +Yucaipa,34.0336,-117.0426 +Norwalk,33.9069,-118.0829 +Ontario,34.0393,-117.6064 +Whitehawk,39.7206,-120.5536 +Pixley,35.9769,-119.2889 +Hollywood,34.0983,-118.3267 +Klamath River,41.8612,-122.8256 +San Carlos,37.4982,-122.268 +East La Mirada,33.9245,-117.989 +Willow Ranch,41.9024,-120.3583 +Ponderosa,36.1051,-118.5294 +Burlingame,37.586,-122.3669 +Reedley,36.5983,-119.4473 +Standish,40.3652,-120.4222 +Cecilville,41.141,-123.14 +Nicolaus,38.8981,-121.5729 +Olivehurst,39.0817,-121.5549 +La Crescenta,34.2242,-118.2401 +Fortuna,40.5855,-124.1417 +Litchfield,40.3877,-120.381 +Avocado Heights,34.0381,-118.0026 +Bear Valley Springs,35.1775,-118.646 +Meeks Bay,39.0344,-120.1241 +Concord,37.9722,-122.0016 +Mountain Mesa,35.6411,-118.4047 +Little Lake,35.9366,-117.9067 +Canyon,37.8316,-122.1877 +Frazier Park,34.8122,-118.9542 +Madeline,41.051,-120.4755 +South Dos Palos,36.9707,-120.6467 +Scotts Valley,37.0555,-122.0118 +Ogilby,32.817,-114.8389 +Goodyears Bar,39.5458,-120.8881 +Atwater,37.3543,-120.5981 +Torrance,33.8346,-118.3417 +Rio Dell,40.5023,-124.1104 +Tulelake,41.9533,-121.4751 +Orange Park Acres,33.802,-117.7823 +Antioch,37.9789,-121.7957 +Oceano,35.1019,-120.609 +Soda Bay,39.0024,-122.7794 +Kyburz,38.7746,-120.2969 +Elk Grove,38.416,-121.384 +Bear Valley,38.4722,-120.0491 +Strawberry,38.1987,-120.0106 +Boonville,39.0115,-123.374 +Sugarloaf Mountain Park,35.8379,-118.6039 +La Selva Beach,36.9276,-121.8445 +El Centro,32.7873,-115.5579 +Highgrove,34.0106,-117.3098 +South Fontana,34.0628,-117.4889 +Val Verde,34.4504,-118.6717 +Groveland,37.8325,-120.2394 +Elmira,38.3523,-121.9077 +Dominguez,33.8347,-118.2187 +Sierra Village,38.0768,-120.1624 +Santa Venetia,38.0055,-122.5033 +South Gate,33.9447,-118.1926 +Moraga,37.8438,-122.1225 +Glendora,34.1449,-117.8468 +North El Monte,34.103,-118.0238 +Keddie,40.0059,-120.9525 +Emigrant Gap,39.2968,-120.6727 +Ridgecrest,35.6308,-117.6621 +Laguna Niguel,33.5275,-117.705 +Sacramento,38.5667,-121.4683 +Lemoore,36.296,-119.7983 +Adin,41.1964,-120.9494 +Blairsden,39.7752,-120.6109 +Colma,37.6767,-122.4526 +Seaside,36.6224,-121.8191 +Lytle Creek,34.2499,-117.5044 +Caliente,35.2911,-118.6279 +El Portal,37.6736,-119.799 +East Porterville,36.0573,-118.9712 +Los Banos,37.0631,-120.8405 +Folsom,38.6669,-121.1422 +South Laguna,33.5006,-117.7431 +Manchester,38.9744,-123.691 +Lake Isabella,35.6378,-118.4819 +Montara,37.5482,-122.4924 +Oak Hills,34.3912,-117.4126 +Dixon,38.4466,-121.825 +Camptonville,39.452,-121.0488 +Fontana,34.0968,-117.4599 +Cantil,35.3089,-117.9684 +Tuolumne,37.9608,-120.2374 +San Martin,37.0829,-121.5963 +Shingletown,40.5035,-121.86 +Cloverdale,38.7962,-123.0154 +Country Club,37.9687,-121.3408 +Helena,40.7735,-123.1284 +Del Rio,37.7432,-121.0091 +Imperial Beach,32.5687,-117.1184 +Catheys Valley,37.4371,-120.0936 +Heber,32.7318,-115.5204 +Cedar Slope,36.1436,-118.5771 +Lemon Grove,32.7331,-117.0344 +Alamo Oaks,37.8394,-121.993 +Macdoel,41.8256,-122.0057 +Daly City,37.6863,-122.4684 +Lagunitas,38.0113,-122.7022 +Orinda,37.8808,-122.179 +El Granada,37.5134,-122.466 +San Pasqual,34.1393,-118.1027 +Lee Vining,37.9547,-119.1221 +Crescent Mills,40.1008,-120.9217 +Valley Springs,38.1837,-120.815 +Traver,36.4526,-119.4824 +Riverside,33.9381,-117.3948 +Descanso,32.8696,-116.6279 +Brawley,32.9783,-115.5287 +Buttonwillow,35.4092,-119.4406 +Potrero,32.6131,-116.6068 +Camp Nelson,36.142,-118.6107 +El Cajon,32.8017,-116.9604 +Tecopa,35.835,-116.2074 +Millbrae,37.5994,-122.4024 +Pacific Grove,36.6192,-121.9255 +Rosemont,38.5477,-121.3553 +Aptos,36.9912,-121.8928 +Santa Ynez,34.6151,-120.0944 +Vincent,34.5005,-118.1165 +Bay Point,38.0329,-121.9612 +Davenport,37.0177,-122.1882 +Laws,37.4008,-118.3457 +Merced,37.3058,-120.4778 +Mira Loma,33.9925,-117.5164 +Island Mountain,40.0263,-123.4903 +Haiwee,36.1466,-117.9759 +Murrieta,33.5719,-117.1909 +San Gregorio,37.3272,-122.3866 +Peters,37.9763,-121.0439 +Auberry,37.0755,-119.4901 +Hornbrook,41.908,-122.5597 +Rheem,37.8608,-122.1272 +Miracle Hot Springs,35.5758,-118.5345 +Tahoe Vista,39.2483,-120.0535 +Ojai,34.4487,-119.2469 +Tarpey Village,36.7941,-119.7012 +West Park,36.7055,-119.8516 +Comptche,39.2652,-123.5897 +Hardwick,36.4026,-119.7208 +Cold Springs,38.7468,-120.8761 +Cohasset,39.9027,-121.7448 +West Menlo Park,37.4338,-122.2034 +Salmon Creek,38.3463,-123.0595 +Courtland,38.3329,-121.557 +Rialto,34.1128,-117.3885 +Weaverville,40.7488,-122.9274 +Dutch Flat,39.208,-120.8345 +Garden Farms,35.4158,-120.614 +Wheatland,39.0287,-121.39 +Lucerne,39.0697,-122.776 +West Carson,33.8229,-118.2931 +Elk Creek,39.6002,-122.5376 +Woodland,38.6712,-121.75 +Santa Rosa,38.4465,-122.706 +Palm Desert Country,33.7406,-116.3156 +Avila Beach,35.1971,-120.7192 +Planada,37.2892,-120.3207 +Kirkwood,38.693,-120.064 +Marysville,39.1518,-121.5836 +Newcastle,38.8678,-121.1318 +Palmdale,34.5944,-118.1057 +Saratoga,37.2682,-122.0264 +Occidental,38.4004,-122.9349 +Plainview,36.1423,-119.1375 +Angels Camp,38.0683,-120.5396 +Sultana,36.5464,-119.3359 +West Covina,34.0555,-117.9113 +Belmont,37.5154,-122.2955 +Bloomfield,38.3183,-122.8502 +Sky Londa,37.3836,-122.2627 +Long Beach,33.8059,-118.161 +London,36.481,-119.444 +Greenacres,35.3831,-119.1184 +Sloat,39.8666,-120.7274 +Santee,32.8555,-116.9856 +Montalvo,34.2539,-119.2037 +Los Osos,35.3068,-120.8249 +Walnut,34.0334,-117.8593 +Madera,36.964,-120.0803 +White Water,33.9356,-116.6873 +Hornitos,37.5034,-120.242 +Rollingwood,37.9654,-122.3306 +Benicia,38.0704,-122.1541 +Atherton,37.4539,-122.2032 +Brentwood,37.9355,-121.7191 +Los Medanos,38.0121,-121.8513 +Sutter Creek,38.3826,-120.8106 +South Pasadena,34.1103,-118.1573 +Friant,36.9848,-119.713 +Cazadero,38.5265,-123.0978 +Sonora,37.9819,-120.3828 +Kettleman City,36.009,-119.9629 +Surfside,33.7278,-118.0823 +Moccasin,37.8108,-120.2999 +Santa Margarita,35.3895,-120.6081 +Rutherford,38.4568,-122.4231 +Meadow Vista,39.003,-121.0304 +Monrovia,34.165,-117.9921 +Ripley,33.5238,-114.653 +Los Alamos,34.7375,-120.2783 +Whitley Gardens,35.6571,-120.5068 +Los Serranos,33.9728,-117.7081 +Agoura,34.1431,-118.7379 +Santa Susana,34.258,-118.6662 +Nipinnawasee,37.4031,-119.7293 +Desert View Highlands,34.5903,-118.1534 +Cartago,36.3123,-118.0261 +Lamoine,40.9779,-122.4308 +Middletown,38.7518,-122.6221 +Copperopolis,37.9365,-120.6277 +Mount Baldy,34.2361,-117.6601 +Valle Vista,33.7436,-116.8872 +Rolling Hills Estates,33.7783,-118.3509 +Aliso Viejo,33.5792,-117.729 +Weed,41.4127,-122.3816 +Santa Cruz,36.9788,-122.0346 +Cromberg,39.8684,-120.6905 +Bartlett,36.4766,-118.0309 +Vacaville,38.3592,-121.9686 +Dunsmuir,41.2318,-122.2714 +San Ardo,36.0238,-120.9075 +Artesia,33.8676,-118.0806 +Kramer Junction,34.9925,-117.5417 +Soquel,36.9978,-121.9483 +Walker,38.5341,-119.4582 +Moss Beach,37.5184,-122.5036 +West Whittier,33.9886,-118.057 +Stockton,37.9766,-121.3112 +San Juan Capistrano,33.5009,-117.6544 +Lancaster,34.6934,-118.1753 +San Gabriel,34.0948,-118.099 +Parkwood,36.9293,-120.0482 +Stinson Beach,37.9051,-122.6457 +Floriston,39.393,-120.0145 +Rough and Ready,39.234,-121.1381 +Palo Cedro,40.5511,-122.2363 +Homeland,33.7459,-117.1132 +Salton Sea Beach,33.3759,-116.0115 +Simi Valley,34.2663,-118.749 +Bradbury,34.1535,-117.9684 +Avalon,33.3338,-118.3317 +Dorris,41.9643,-121.9208 +Lake Wildwood,39.235,-121.2003 +Johnstown,32.8381,-116.8967 +Ladera Heights,33.9972,-118.374 +San Dimas,34.1082,-117.809 +Plymouth,38.4776,-120.8584 +Mojave,35.0139,-118.1895 +Port Costa,38.0446,-122.185 +Martell,38.3622,-120.804 +Rohnerville,40.5671,-124.1356 +Magalia,39.8228,-121.6078 +Shandon,35.6536,-120.3831 +Thermal,33.6262,-116.1309 +Rosamond,34.8658,-118.2154 +Arvin,35.1944,-118.8306 +Edison,35.3475,-118.8718 +La Porte,39.6725,-120.9852 +Contra Costa Centre,37.926,-122.054 +Corte Madera,37.9238,-122.5129 +Otterbein,33.9875,-117.8848 +Alameda,37.767,-122.2673 +Fremont,37.5265,-121.9852 +Boronda,36.695,-121.6746 +North Tustin,33.7644,-117.7945 +Walnut Park,33.9683,-118.222 +Pearblossom,34.5064,-117.9098 +Jesmond Dene,33.1803,-117.1092 +Fowler,36.6246,-119.6739 +Montalvin,37.9977,-122.33 +Calipatria,33.1488,-115.5058 +Beaumont,33.9059,-116.9763 +Fenner,34.8158,-115.1791 +San Andreas,38.1912,-120.6763 +Santa Monica,34.0232,-118.4813 +Valley Center,33.233,-117.0157 +East Highlands,34.1097,-117.1706 +Channel Islands Beach,34.1586,-119.2231 +Yermo,34.905,-116.8203 +Crockett,38.0518,-122.22 +San Fernando,34.2886,-118.4363 +Ivanpah,35.3405,-115.3105 +Camarillo,34.223,-119.0323 +Diamond Springs,38.692,-120.8391 +Susanville,40.4206,-120.6129 +Delft Colony,36.512,-119.4465 +Kernville,35.7531,-118.4321 +Herald,38.2913,-121.2318 +Solana Beach,32.9946,-117.2575 +Fountain Valley,33.7105,-117.9514 +Valley View Park,34.235,-117.3081 +Wrightwood,34.3495,-117.6299 +Esparto,38.6934,-122.0241 +Honcut,39.3326,-121.5388 +Crannell,41.0118,-124.0848 +Rancho Cordova,38.5739,-121.2521 +Seeley,32.7898,-115.683 +South San Francisco,37.6536,-122.4197 +Twin Peaks,34.2389,-117.2337 +Del Dios,33.0728,-117.1192 +Victor,38.1385,-121.1987 +Lytton,38.6594,-122.8717 +Humboldt Hill,40.7219,-124.1987 +Wendel,40.3482,-120.2335 +Richmond,37.9477,-122.339 +Guadalupe,34.9608,-120.5735 +Willow Creek,40.9385,-123.6412 +Tecate,32.5773,-116.6275 +Buena Vista,38.2974,-120.9179 +Escalon,37.7912,-120.9981 +Belvedere,37.8735,-122.4662 +Cotati,38.3278,-122.7092 +Barstow,34.8655,-117.0464 +Downieville,39.5701,-120.8213 +Oro Grande,34.5989,-117.3342 +Mexican Colony,35.4689,-119.2687 +Squirrel Mountain Valley,35.6175,-118.4047 +Shelter Cove,40.0389,-124.0558 +La Palma,33.8504,-118.0406 +Ladera Ranch,33.5493,-117.6415 +Hermosa Beach,33.8653,-118.3966 +Kennedy,37.929,-121.2457 +Shasta Lake,40.679,-122.3775 +Blackhawk,37.816,-121.9071 +Willows,39.5147,-122.1992 +California Pines,41.4117,-120.6605 +Greenfield,36.3232,-121.2451 +Ocotillo,32.7431,-116.002 +Mi-Wuk Village,38.057,-120.179 +Byron,37.8756,-121.6421 +Capistrano Beach,33.4625,-117.6717 +Rio Oso,38.9518,-121.531 +Madera Acres,37.0123,-120.0799 +Redway,40.1209,-123.822 +Temelec,38.2577,-122.4982 +Bluewater,34.176,-114.264 +Caspar,39.3631,-123.8044 +Bonita,32.6652,-117.0296 +Point Arena,38.9123,-123.6954 +Keeler,36.4846,-117.872 +Nord,39.774,-121.9549 +East Hemet,33.7301,-116.941 +Pine Mountain Club,34.8446,-119.1669 +Paramount,33.8976,-118.1651 +Raymond,37.2172,-119.9054 +Smiley Park,34.1983,-117.1275 +La Presa,32.711,-117.0027 +Plumas Lake,38.9924,-121.558 +Lake of the Woods,34.8226,-119.0027 +Cabazon,33.9127,-116.7828 +Mendocino,39.311,-123.7908 +Mad River,40.432,-123.4924 +Phillipsville,40.2117,-123.7845 +Del Rey,36.6562,-119.5993 +Compton,33.893,-118.2275 +Anza,33.5679,-116.6967 +Petaluma,38.2423,-122.6267 +Los Olivos,34.6647,-120.118 +Oak Park,34.185,-118.7669 +San Juan Bautista,36.8457,-121.5384 +Chowchilla,37.1095,-120.2349 +Yorba Linda,33.889,-117.7714 +Westlake Village,34.1458,-118.8056 +Mount Eden,37.636,-122.1 +Salton City,33.2995,-115.9609 +Afton,35.0364,-116.3797 +Newhall,34.3847,-118.5309 +Wheeler Springs,34.508,-119.2915 +Loma Linda,34.0448,-117.2503 +Geyserville,38.7173,-122.9034 +Bodfish,35.5765,-118.4764 +Pinole,37.9931,-122.2834 +Menifee,33.6909,-117.1849 +Hamburg,41.7829,-123.0603 +Montecito,34.4382,-119.6286 +San Lorenzo,37.6737,-122.1349 +Trimmer,36.9049,-119.2962 +Terminous,38.1154,-121.4895 +Carmel Valley,36.4797,-121.7324 +Oildale,35.4249,-119.0279 +San Joaquin,36.6056,-120.1898 +Hickman,37.6227,-120.7532 +Greenhorn,39.903,-120.759 +Isla Vista,34.4144,-119.8582 +Home Garden,36.303,-119.637 +Talmage,39.1314,-123.1649 +Hopland,38.9691,-123.1173 +Oak View,34.399,-119.2976 +Ross,37.9638,-122.5615 +Weldon,35.6431,-118.3103 +Good Hope,33.7706,-117.2772 +Stonyford,39.3703,-122.5445 +Fairmead,37.0774,-120.1937 +Hawthorne,33.9147,-118.3476 +Mono City,38.0412,-119.1467 +Carpinteria,34.3962,-119.5117 +Lower Lake,38.9119,-122.6085 +East Sonora,37.9777,-120.341 +Coleville,38.5834,-119.516 +Ripon,37.7415,-121.1309 +Redwood City,37.5026,-122.2252 +Del Rey Oaks,36.593,-121.8381 +La Cañada Flintridge,34.2097,-118.2002 +Boulder Creek,37.1341,-122.1272 +Sierra Brooks,39.6427,-120.2155 +Running Springs,34.2104,-117.1147 +Amesti,36.9583,-121.7805 +Pineridge,37.0633,-119.361 +Prattville,40.206,-121.1575 +Phelan,34.4398,-117.5248 +Eastvale,33.9617,-117.5802 +Callender,35.048,-120.5759 +Gualala,38.7657,-123.5281 +Rancho Palos Verdes,33.7554,-118.3636 +Selma,36.5744,-119.6157 +Alhambra,34.084,-118.1355 +Springville,36.1168,-118.8345 +Mount Hebron,41.7855,-122.0083 +Escondido,33.1347,-117.0722 +Alto,37.9056,-122.5186 +Penn Valley,39.1954,-121.1942 +Alberhill,33.7272,-117.3998 +East Rancho Dominguez,33.8949,-118.1956 +Greenbrae,37.9485,-122.5247 +Aromas,36.8771,-121.6404 +Ventura,34.2783,-119.2932 +Searles Valley,35.7701,-117.3967 +Parkway,38.4993,-121.452 +Daggett,34.8633,-116.8881 +Seacliff,36.977,-121.9176 +Woodville,36.0898,-119.205 +Inyokern,35.6546,-117.8213 +Woodcrest,33.8789,-117.3686 +Morgan Hill,37.1324,-121.641 +Bermuda Dunes,33.7434,-116.2874 +Cedarpines Park,34.25,-117.3259 +Laguna Hills,33.592,-117.6992 +Nipomo,35.0323,-120.499 +Mountain Center,33.7112,-116.7248 +Monson,36.4927,-119.3358 +Muscoy,34.1548,-117.3482 +Orosi,36.5434,-119.2903 +Calpella,39.2322,-123.197 +Westport,39.6357,-123.7831 +Markleeville,38.6841,-119.8224 +Del Monte Forest,36.5857,-121.9439 +Edgewood,41.4621,-122.4259 +Yountville,38.3956,-122.3669 +Bombay Beach,33.355,-115.7306 +Jamacha Junction,32.7398,-116.9434 +Cudahy,33.9631,-118.1829 +Sugarloaf Saw Mill,35.8344,-118.6166 +Allendale,38.4426,-121.9814 +La Vina,36.8799,-120.1147 +Rio Linda,38.6875,-121.4417 +Romoland,33.7648,-117.1572 +Drytown,38.4382,-120.8565 +East Los Angeles,34.0326,-118.1691 +Ivanhoe,36.3886,-119.2202 +Callahan,41.3096,-122.8014 +Colfax,39.0938,-120.9532 +Lennox,33.938,-118.3585 +Gridley,39.3622,-121.6971 +Bass Lake,37.328,-119.5666 +Terra Linda,38.0041,-122.5497 +Johannesburg,35.3718,-117.642 +Skyforest,34.2353,-117.1792 +Douglas City,40.6636,-122.9261 +Lucas Valley,38.0274,-122.5583 +El Cerrito,37.9197,-122.3025 +Dublin,37.7161,-121.8964 +Cotton Center,36.0661,-119.1429 +Lake Hughes,34.6833,-118.4589 +Paxton,40.0334,-121.003 +Santa Clarita,34.4155,-118.4992 +Keene,35.233,-118.6103 +Helm,36.5316,-120.0982 +Huron,36.204,-120.0961 +Manteca,37.7938,-121.227 +Randsburg,35.368,-117.6607 +Newville,39.791,-122.5283 +Vineyard,38.4744,-121.319 +Highlands,37.5199,-122.3439 +San Francisco,37.7562,-122.443 +Kilkare Woods,37.6283,-121.9122 +Valley Ranch,39.7403,-120.565 +Woodside,37.4221,-122.259 +Saticoy,34.2819,-119.1453 +Idria,36.4169,-120.6743 +Cambria,35.5523,-121.0847 +Harbison Canyon,32.8273,-116.8381 +Alturas,41.4898,-120.5516 +San Quentin,37.9413,-122.485 +Rancho Murieta,38.5085,-121.0716 +Idlewild,35.8096,-118.6704 +Bridgeport,38.2561,-119.2123 +Tustin,33.7309,-117.8106 +Somis,34.2572,-118.9962 +Alpine Village,38.7856,-119.8009 +Fulton,38.4937,-122.7734 +Valley Wells,35.8283,-117.3317 +Strathmore,36.1438,-119.0612 +Spring Valley,32.7316,-116.9766 +Jenner,38.4511,-123.1204 +South Oroville,39.4767,-121.5439 +Clyde,38.0252,-122.0278 +Shasta,40.591,-122.4797 +Santa Ana,33.7366,-117.8819 +Lookout,41.2099,-121.1544 +Blocksburg,40.276,-123.6364 +Robbins,38.8672,-121.7055 +Woodfords,38.7777,-119.8218 +Saugus,34.4114,-118.5401 +Diablo,37.8408,-121.9565 +North Fair Oaks,37.4754,-122.2035 +Home Gardens,33.8784,-117.5116 +Princeton,39.4029,-122.0212 +Ballard,34.634,-120.1156 +Lakehead,40.9007,-122.3924 +Fairfax,37.9884,-122.595 +Moreno Valley,33.9244,-117.2045 +Garnet,33.9179,-116.4796 +Mesa Vista,38.8103,-119.8033 +Lakeport,39.0392,-122.9218 +Trabuco Canyon,33.6625,-117.5903 +Healdsburg,38.6229,-122.8651 +Oakley,37.9929,-121.6951 +Armona,36.3179,-119.7054 +Viola,40.5179,-121.6778 +San Clemente,33.4498,-117.6103 +Half Moon Bay,37.4687,-122.4383 +Ingot,40.7277,-122.0792 +Mill Valley,37.9085,-122.542 +Hemet,33.7341,-116.9969 +Le Grand,37.2288,-120.254 +Alta Loma,34.1222,-117.5981 +Hanford,36.326,-119.654 +Redwood Valley,39.269,-123.2023 +O'Neals,37.1283,-119.6943 +Glendale,34.1818,-118.2468 +Day Valley,37.0255,-121.8559 +Woodbridge,38.1692,-121.3113 +Blue Lake,40.8813,-123.9931 +East Whittier,33.9244,-117.9887 +Cherryland,37.6792,-122.1038 +Los Berros,35.0809,-120.5451 +Sunol,37.5894,-121.8854 +Mission Canyon,34.4533,-119.7126 +Lanare,36.4377,-119.9322 +Albany,37.8898,-122.3018 +Guasti,34.065,-117.5864 +Potter Valley,39.319,-123.1123 +Walnut Heights,37.8766,-122.0511 +Big Bar,40.741,-123.2559 +Lockeford,38.1508,-121.1554 +West Sacramento,38.5556,-121.5504 +Patton Village,40.1401,-120.1778 +Loma Rica,39.3204,-121.4038 +Camanche Village,38.2662,-120.9866 +Rancho Tehama Reserve,40.001,-122.4418 +Mesa Grande,33.1803,-116.7692 +Yankee Hill,39.7007,-121.5147 +Monte Rio,38.4683,-123.0147 +Live Oak,39.2788,-121.6624 +South Lake,35.6369,-118.367 +Berkeley,37.8723,-122.276 +Marina,36.6812,-121.7894 +Lake of the Pines,39.0378,-121.0642 +Los Altos Hills,37.3672,-122.1391 +Little River,39.2703,-123.7817 +Chualar,36.5711,-121.5103 +Artois,39.6332,-122.1898 +Bonsall,33.2761,-117.1942 +Emerald Lake Hills,37.4663,-122.2675 +Sisquoc,34.8621,-120.2943 +Almanor,40.2146,-121.1762 +Alta,39.2138,-120.8033 +Dillon Beach,38.2436,-122.956 +Alderpoint,40.1614,-123.6157 +Balance Rock,35.8061,-118.652 +Samoa,40.8146,-124.1893 +Salida,37.7145,-121.087 +Bradley,35.8628,-120.804 +San Luis Obispo,35.2671,-120.6689 +Stevinson,37.3247,-120.8497 +Pearsonville,35.8188,-117.8755 +Petrolia,40.3254,-124.287 +El Dorado Hills,38.675,-121.0489 +Warner Springs,33.2823,-116.6336 +Napa,38.2977,-122.3011 +Baldwin Park,34.0829,-117.972 +Forest Ranch,39.8952,-121.6705 +Bethel Island,38.0288,-121.6404 +Citrus,34.1161,-117.889 +Fernbrook,32.9681,-116.9117 +Tuttle,37.2965,-120.3789 +Castella,41.1385,-122.3178 +Winters,38.532,-121.9781 +Benton,37.8189,-118.4844 +Birds Landing,38.1327,-121.8708 +Mentone,34.0607,-117.1113 +Los Nietos,33.9683,-118.0706 +Las Cruces,34.508,-120.229 +Davis,38.5552,-121.7365 +Westwood,40.3049,-121.0044 +Alondra Park,33.8885,-118.335 +Parkfield,35.8997,-120.4327 +Glenn,39.5218,-122.0139 +La Habra,33.9278,-117.9513 +Lafayette,37.8919,-122.1188 +Taft Heights,35.1337,-119.4711 +Rancho Cucamonga,34.1247,-117.5664 +Elk,39.1302,-123.7178 +Mission Hills,34.6861,-120.4404 +Midland,33.8611,-114.8022 +Lake Los Angeles,34.6097,-117.8339 +Indian Wells,33.7036,-116.3396 +San Simeon,35.6183,-121.1374 +San Augustine,34.4594,-120.3582 +Ruth,40.2943,-123.3483 +Shively,40.4307,-123.9698 +Riverview Farms,32.845,-116.932 +Corralitos,36.9941,-121.7892 +Raisin City,36.6033,-119.9092 +Castro Valley,37.7092,-122.0632 +Newport Beach,33.6151,-117.8669 +Gasquet,41.8429,-123.9733 +Flournoy,39.9284,-122.4461 +Hidden Valley Lake,38.8003,-122.5505 +Hilmar,37.4085,-120.8502 +Franklin,38.3675,-121.4616 +Bayview,40.7653,-124.1786 +Grenada,41.6406,-122.526 +Lewiston,40.6969,-122.8225 +Cherry Valley,33.9797,-116.9694 +Bell,33.9801,-118.1798 +Niland,33.2387,-115.5146 +Goleta,34.436,-119.8596 +Lakeside,32.856,-116.904 +Tahoma,39.0633,-120.1438 +Florence,33.9745,-118.2481 +Cressey,37.421,-120.6556 +Fort Bidwell,41.8629,-120.1589 +Grover Beach,35.1204,-120.6199 +Willits,39.4048,-123.3494 +Linda,39.1241,-121.5421 +Pebble Beach,36.5663,-121.9466 +Culver City,34.0058,-118.3968 +Arrowhead Highlands,34.23,-117.2628 +Ramona,33.0474,-116.8767 +Citrus Heights,38.6948,-121.288 +Alpaugh,35.8876,-119.4873 +Berry Creek,39.6314,-121.4052 +Bowles,36.6089,-119.7526 +Brookdale,37.1058,-122.1106 +Stanford,37.4252,-122.1674 +Pismo Beach,35.1492,-120.6506 +Riverdale,36.4304,-119.8671 +Edmundson Acres,35.2273,-118.8233 +Taft,35.1267,-119.4242 +Covina,34.0903,-117.8817 +Edna,35.2108,-120.606 +Lakeland Village,33.648,-117.3711 +Oakland,37.7903,-122.2165 +Point Reyes Station,38.0847,-122.8093 +Pondosa,41.1993,-121.6889 +West Hollywood,34.0883,-118.3719 +Forest Knolls,38.0152,-122.6886 +Marin City,37.8711,-122.5137 +Monte Sereno,37.2405,-121.9881 +Lake City,41.646,-120.2255 +Caruthers,36.5399,-119.845 +Coloma,38.8026,-120.8946 +Lebec,34.845,-118.8992 +South San Jose Hills,34.0123,-117.9041 +View Park,33.9989,-118.3426 +Albion,39.2256,-123.7564 +Bodega,38.3488,-122.9711 +Bryn Mawr,34.0483,-117.2309 +Crafton,34.0631,-117.1217 +Capitola,36.9772,-121.9538 +South Taft,35.1293,-119.4575 +Topaz,38.6587,-119.5274 +Lake Nacimiento,35.7309,-120.8702 +Chico,39.7574,-121.815 +Brisbane,37.6898,-122.4019 +Myrtletown,40.7888,-124.1286 +Lakeview,33.8285,-117.1233 +Cantua Creek,36.5001,-120.3164 +Biggs,39.4132,-121.7101 +Diamond Bar,33.9992,-117.8161 +Casitas Springs,34.3714,-119.3065 +Winchester,33.7146,-117.0775 +Garden Grove,33.7787,-117.9601 +Bellflower,33.888,-118.1271 +Toro Canyon,34.4235,-119.5568 +San Juan Hot Springs,33.5909,-117.5095 +White Pines,38.266,-120.3408 +San Mateo,37.5522,-122.3122 +Dobbins,39.3657,-121.2127 +Mountain House,37.774,-121.5452 +Oceanside,33.2247,-117.3083 +Clear Creek,41.7093,-123.4503 +San Diego,32.8312,-117.1226 +Bystrom,37.6199,-120.9827 +Cambrian Park,37.2563,-121.9289 +Palos Verdes Estates,33.7871,-118.3976 +Sea Ranch,38.7166,-123.4528 +San Jose,37.3018,-121.8485 +Penryn,38.8478,-121.1699 +Freedom,36.9402,-121.7953 +Coyote Wells,32.7387,-115.9675 +Clay,38.314,-121.1596 +Pescadero,37.2507,-122.3725 +Yolo,38.7405,-121.8093 +Pala,33.3617,-117.0696 +Calpine,39.6633,-120.4436 +South Lake Tahoe,38.9393,-119.9828 +Carlsbad,33.1246,-117.2837 +Cardiff-by-the-Sea,33.0217,-117.2811 +Redlands,34.0512,-117.171 +Prunedale,36.8064,-121.6555 +Clovis,36.8278,-119.6841 +Manila,40.8513,-124.1631 +Mortmar,38.4464,-122.1945 +Nice,39.1266,-122.8525 +Leucadia,33.0681,-117.3034 +Mountain Ranch,38.2509,-120.5119 +Camino Tassajara,37.7909,-121.885 +Mountain View,37.4,-122.0796 +Cedar Glen,34.2539,-117.1648 +Lathrop,37.8163,-121.3127 +Crestline,34.2486,-117.289 +Garden Acres,37.9637,-121.2296 +California Hot Springs,35.8863,-118.6561 +Truckee,39.3454,-120.1848 +Monterey,36.5922,-121.8807 +Requa,41.5468,-124.0665 +Pioneer,38.4354,-120.5848 +Deep Springs,37.3716,-117.9851 +Sugarloaf Village,35.8268,-118.6354 +Fuller Acres,35.3023,-118.9143 +Oxnard,34.1962,-119.1819 +Amboy,34.5578,-115.7444 +Elderwood,36.4716,-119.1223 +Desert Center,33.7378,-115.3666 +Dogtown,38.2096,-121.1551 +Kentfield,37.9481,-122.5497 +Broadmoor,37.6914,-122.4811 +Manton,40.4202,-121.854 +Camino,38.7412,-120.6815 +Clayton,37.9403,-121.9301 +Lodoga,39.3042,-122.5059 +French Gulch,40.7166,-122.6312 +Winton,37.3854,-120.6173 +Boyes Hot Springs,38.3126,-122.4888 +Woodlake,36.4124,-119.0998 +Bostonia,32.8189,-116.9479 +Philo,39.0657,-123.4452 +Chinese Camp,37.8703,-120.4443 +Villa Park,33.818,-117.8103 +Oakville,38.4384,-122.4067 +River Pines,38.5454,-120.7475 +Ono,40.4752,-122.6181 +Gazelle,41.5133,-122.5215 +Hamilton City,39.7422,-122.0125 +Grangeville,36.344,-119.7075 +Mead Valley,33.8333,-117.2852 +Korbel,40.8704,-123.9584 +Redondo Beach,33.8574,-118.3766 +Gonzales,36.506,-121.443 +Orland,39.7461,-122.1855 +Twin Lakes,36.9646,-121.9896 +Pico Rivera,33.9902,-118.0888 +San Lucas,36.1284,-121.0217 +Stanton,33.8002,-117.9935 +Thousand Oaks,34.1914,-118.8755 +Clearlake Oaks,39.0218,-122.6593 +Doyle,40.0275,-120.1173 +Colton,34.0538,-117.3254 +Bear Creek,37.2966,-120.4177 +Ballico,37.4519,-120.7037 +Shafter,35.4803,-119.2009 +Cerritos,33.8677,-118.0686 +Loyalton,39.6768,-120.2448 +Little Valley,40.893,-121.1781 +Mountain View Acres,34.4976,-117.347 +Shingle Springs,38.6666,-120.9371 +Montclair,34.0714,-117.6981 +Smith Corner,35.4788,-119.2771 +Vandenberg Village,34.7111,-120.4623 +Lexington Hills,37.1616,-121.9879 +Montpelier,37.5449,-120.706 +Ford City,35.1647,-119.4584 +Russell City,37.6527,-122.1336 +Johnstonville,40.3789,-120.5846 +Pine Cove,33.7606,-116.7378 +Port Hueneme,34.1617,-119.2036 +Harmony,35.5086,-121.0227 +Somes Bar,41.3762,-123.4762 +Isleton,38.1617,-121.6051 +Paynes Creek,40.3409,-121.9174 +Scotia,40.4774,-124.1032 +Claremont,34.1259,-117.7153 +Fort Dick,41.8663,-124.1526 +Chino,33.9836,-117.6653 +Alpine,32.8439,-116.7585 +Orange Cove,36.6212,-119.3187 +Crucero,35.0472,-116.1656 +Castroville,36.765,-121.7535 +Coulterville,37.7105,-120.1991 +Grass Valley,39.2237,-121.0521 +Casa de Oro,32.7489,-116.9809 +Hacienda Heights,33.997,-117.9728 +Kingvale,39.3204,-120.4386 +Mohawk Vista,39.8048,-120.5883 +Pine Grove,38.4074,-120.6606 +North Richmond,37.9642,-122.3711 +Ben Lomond,37.0782,-122.0882 +Forest Meadows,38.1664,-120.4052 +Calwa,36.7136,-119.7609 +Snelling,37.5216,-120.4386 +Loma Mar,37.2658,-122.3007 +Top of the World,33.5484,-117.7542 +Placentia,33.8807,-117.8553 +Garberville,40.1003,-123.7948 +Placerville,38.7309,-120.7979 +Dos Palos Y,37.0466,-120.6393 +Dunlap Acres,34.0311,-117.1075 +Palermo,39.4313,-121.5226 +Lincoln,38.8759,-121.2916 +Yettem,36.4866,-119.255 +Atwood,33.8656,-117.8309 +Searles,35.4838,-117.6353 +Daphnedale Park,41.5089,-120.5507 +Myers Flat,40.2666,-123.8737 +Anderson,40.451,-122.2962 +Auburn,38.895,-121.0778 +Lawndale,33.8884,-118.3531 +Verdemont,34.1931,-117.3675 +Los Trancos Woods,37.3494,-122.1994 +Felton,37.0392,-122.0804 +Westminster,33.7523,-117.9938 +Calavo Gardens,32.7628,-116.9611 +Nubieber,41.0967,-121.1816 +Grossmont,32.7784,-116.9884 +Patterson,37.4738,-121.1438 +Nuevo,33.8011,-117.1414 +Grand Terrace,34.0312,-117.3132 +Las Lomas,36.8689,-121.7317 +Mokelumne Hill,38.3057,-120.7061 +Derby Acres,35.2439,-119.6039 +Lompico,37.1101,-122.0523 +Big Sur,36.2702,-121.8075 +Sheridan,38.969,-121.356 +Blue Canyon,39.2571,-120.711 +Toms Place,37.5613,-118.6812 +Bangor,39.3761,-121.4117 +San Geronimo,38.0068,-122.6634 +Piru,34.4075,-118.7999 +Piercy,39.9663,-123.7953 +Lindsay,36.2082,-119.0897 +Kings Beach,39.249,-120.0201 +Beverly Hills,34.0786,-118.4021 +Union City,37.603,-122.0187 +Poso Park,35.8112,-118.6365 +Cottonwood,40.3904,-122.2861 +Bend,40.2561,-122.2095 +Angiola,35.9891,-119.476 +Salyer,40.8901,-123.5845 +Bishop,37.3665,-118.3958 +Shoshone,35.951,-116.3056 +Tonyville,36.2474,-119.0903 +Flinn Springs,32.8551,-116.8525 +La Verne,34.1208,-117.7702 +Klamath,41.5322,-124.0063 +Kenwood,38.4153,-122.5387 +Yucca Valley,34.1231,-116.4215 +Worth,36.0525,-118.937 +Independence,36.8274,-118.2132 +Moss Landing,36.8019,-121.7872 +North Highlands,38.6713,-121.3721 +Midpines,37.5531,-119.9485 +Big Bear City,34.2536,-116.7903 +Lost Hills,35.6254,-119.6789 +Lucerne Valley,34.4427,-116.9021 +Needles,34.816,-114.6192 +Live Oak Springs,32.6906,-116.3345 +Coffee Creek,41.0802,-122.7136 +Stirling City,39.9065,-121.5361 +Keswick,40.6134,-122.4606 +Carrick,41.4468,-122.3634 +King City,36.2166,-121.133 +Rimforest,34.2297,-117.225 +Lincoln Acres,32.6678,-117.0728 +Bodega Bay,38.325,-123.0308 +Orick,41.2909,-124.0692 +Rancho San Diego,32.7624,-116.9197 +El Nido,37.1324,-120.4985 +Hydesville,40.5579,-124.0822 +Lemon Heights,33.7589,-117.782 +East San Gabriel,34.1198,-118.0807 +Agua Dulce,34.5044,-118.316 +Visalia,36.3273,-119.3264 +Camden,36.4311,-119.7979 +Tara Hills,37.9939,-122.3188 +Ridgemark,36.8082,-121.3623 +Castaic,34.4818,-118.6317 +San Luis Rey,33.232,-117.3236 +San Leandro,37.7071,-122.1601 +Larkspur,37.9393,-122.5313 +Banning,33.946,-116.8991 +Delleker,39.8101,-120.4969 +Mountain Gate,40.7185,-122.3262 +Linden,38.0186,-121.0994 +Poway,32.9871,-117.0201 +Taylorsville,40.0587,-120.8386 +Bolinas,37.9177,-122.7095 +Tres Pinos,36.7904,-121.3106 +Westley,37.5444,-121.2035 +Cadiz,34.52,-115.5128 +Los Angeles,34.1139,-118.4068 +Sunnyslope,34.012,-117.4334 +Richvale,39.4937,-121.7507 +Santa Paula,34.352,-119.0698 +Lake Almanor Country Club,40.2578,-121.147 +Campo,32.6394,-116.4744 +Big Creek,37.2036,-119.2486 +Moreno,33.9175,-117.1578 +Round Valley,37.4067,-118.5819 +Sky Valley,33.8912,-116.3551 +Dinuba,36.5453,-119.3989 +Berenda,37.0402,-120.1535 +Modesto,37.6374,-121.0028 +East Quincy,39.9165,-120.9189 +La Mirada,33.9025,-118.0093 +Ione,38.3613,-120.9423 +Rio Vista,38.1762,-121.7034 +Alum Rock,37.3694,-121.824 +Santa Clara,37.3646,-121.9679 +Pajaro,36.9016,-121.7417 +Blue Jay,34.2461,-117.2098 +Cutten,40.7657,-124.1446 +Monmouth,36.5656,-119.7405 +Inverness,38.082,-122.8471 +Penngrove,38.3005,-122.6707 +El Verano,38.2975,-122.4915 +Dana Point,33.4733,-117.6969 +Squaw Valley,36.6944,-119.2 +Perris,33.7899,-117.2233 +Paicines,36.7286,-121.2785 +Rohnert Park,38.348,-122.6964 +Altadena,34.1934,-118.1355 +Twain Harte,38.0384,-120.234 +Midway City,33.7451,-117.9849 +Livingston,37.3875,-120.7248 +Lindcove,36.3595,-119.0721 +Antelope,38.7153,-121.361 +Foothill Farms,38.6867,-121.3475 +Glamis,32.9975,-115.0719 +East Pasadena,34.1377,-118.0776 +Martinez,37.9985,-122.116 +Shaver Lake,37.0971,-119.3245 +Alleghany,39.4668,-120.8411 +Inglewood,33.9566,-118.3444 +Imperial,32.8375,-115.5719 +Johnsondale,35.9747,-118.5409 +Fort Irwin,35.2476,-116.6834 +Lone Pine,36.5774,-118.0777 +Smith River,41.925,-124.1493 +San Ramon,37.7625,-121.9365 +Carmel-by-the-Sea,36.5529,-121.9222 +Canyon Lake,33.6884,-117.2621 +Coalinga,36.1432,-120.3266 +Tipton,36.0585,-119.313 +Carmet,38.3743,-123.072 +Tehachapi,35.127,-118.475 +Solvang,34.5936,-120.1401 +Cedar Ridge,38.0661,-120.2737 +Platina,40.3596,-122.8947 +Dos Palos,36.9854,-120.6337 +Grimes,39.0741,-121.8988 +Arden Town,38.5741,-121.383 +La Puente,34.0323,-117.9533 +Gorman,34.7961,-118.8526 +Volta,37.0875,-120.9235 +Weimar,39.0374,-120.9724 +Rossmoor,33.7886,-118.0803 +Farmersville,36.3054,-119.2082 +Graton,38.4376,-122.866 +Bloomington,34.0603,-117.4015 +Plumas Eureka,39.7982,-120.6645 +South El Monte,34.0493,-118.0484 +Milford,40.1634,-120.3686 +Corcoran,36.0847,-119.5612 +Laton,36.4338,-119.6916 +Fruitdale,37.312,-121.9356 +Littlerock,34.5232,-117.9808 +Coarsegold,37.2526,-119.7 +Verdi,39.5237,-120.0163 +Fiddletown,38.5091,-120.7605 +Lincoln Village,38.0054,-121.334 +Agoura Hills,34.151,-118.7608 +Tomales,38.247,-122.9054 +Collierville,38.2141,-121.2675 +Ducor,35.8944,-119.0456 +Buck Meadows,37.8127,-120.0653 +Volcano,38.4456,-120.6306 +City Terrace,34.05,-118.1828 +Soledad,36.4434,-121.3431 +Durham,39.6232,-121.7874 +Betteravia,34.9178,-120.5149 +Trinity Village,40.8789,-123.5132 +Lemoncove,36.3827,-119.0245 +Cobb,38.8356,-122.723 +Portola,39.8241,-120.4733 +Sierra City,39.574,-120.6297 +Acton,34.4956,-118.1857 +Seville,36.4856,-119.2247 +Meridian,39.1404,-121.9079 +Roseland,38.4216,-122.7297 +Newell,41.8898,-121.3675 +Calimesa,33.9873,-117.0542 +Clipper Mills,39.5324,-121.1666 +Baker,35.2769,-116.0718 +Atascadero,35.4827,-120.6858 +Herlong,40.1419,-120.1399 +Chester,40.3017,-121.2339 +Wawona,37.5482,-119.6395 +Brownsville,39.4732,-121.2691 +Galt,38.2671,-121.3034 +Red Mountain,35.3583,-117.6167 +Belltown,34.0117,-117.3834 +Joshua Tree,34.1236,-116.3128 +Arroyo Grande,35.1241,-120.5845 +California City,35.1578,-117.872 +Danville,37.8121,-121.9698 +Happy Camp,41.8103,-123.3892 +Oroville,39.4999,-121.5634 +Huntington Beach,33.696,-118.0025 +Opal Cliffs,36.9608,-121.9641 +Altaville,38.0838,-120.5619 +Tobin,39.9361,-121.2959 +Wallace,38.1978,-120.9586 +Cornell,34.1145,-118.7779 +Greenville,40.1336,-120.9454 +San Pablo,37.9628,-122.3425 +Seal Beach,33.7542,-118.0714 +Tulare,36.1996,-119.34 +Summerland,34.4255,-119.5893 +Anchor Bay,38.8126,-123.5704 +Auburn Lake Trails,38.8916,-120.9849 +Rancho Mirage,33.7626,-116.4273 +McFarland,35.6781,-119.2414 +Etna,41.4582,-122.8947 +Arbuckle,39.0141,-122.0611 +Las Flores,40.0722,-122.1573 +Lake Forest,33.6607,-117.6712 +Rosedale,35.3887,-119.2058 +Mira Monte,34.4284,-119.2853 +Highland,34.1113,-117.1653 +Pilot Hill,38.8349,-121.0144 +Hayfork,40.561,-123.1299 +Sonoma,38.2902,-122.4598 +Trabuco Highlands,33.6147,-117.5664 +Kingsburg,36.5242,-119.5608 +Rancho Rinconada,37.3149,-122.003 +Silver City,36.4638,-118.6507 +Los Molinos,40.027,-122.0981 +Tehama,40.0218,-122.1269 +Otay,32.5948,-117.0645 +Avenal,36.0312,-120.116 +Kaweah,36.4697,-118.9184 +Fellows,35.1779,-119.5472 +East Foothills,37.3826,-121.8137 +Morro Bay,35.3681,-120.8482 +Darwin,36.2689,-117.589 +Stallion Springs,35.0935,-118.6477 +New Cuyama,34.9421,-119.6806 +Likely,41.2254,-120.5034 +Sespe,34.4,-118.9504 +Boron,35.0164,-117.6659 +Hayward,37.6328,-122.0772 +French Camp,37.8799,-121.2803 +Ferndale,40.5799,-124.2619 +Rowland Heights,33.9716,-117.8911 +Yuba City,39.1357,-121.6381 +Lynwood Hills,32.6453,-117.0517 +West Bishop,37.3571,-118.4542 +Guinda,38.8274,-122.1985 +Novato,38.092,-122.5576 +Atolia,35.3147,-117.6092 +Sierraville,39.575,-120.3638 +Olancha,36.2704,-118.0015 +La Mesa,32.7703,-117.0204 +Montebello,34.0155,-118.1108 +Canyondam,40.1699,-121.0769 +Mercury,36.6605,-115.9945 +Dunphy,40.7088,-116.5301 +Spanish Springs,39.6567,-119.6695 +Schurz,38.9366,-118.7925 +Round Mountain,38.711,-117.0676 +Fernley,39.5612,-119.1925 +Montello,41.2673,-114.1969 +Gardnerville,38.939,-119.7369 +Walker Lake,38.6468,-118.7572 +Crystal Bay,39.2315,-120.0017 +West Wendover,40.7407,-114.0783 +Paradise,36.0807,-115.1369 +Indian Springs,36.5719,-115.7203 +Henderson,36.0145,-115.0362 +Zephyr Cove,39.0082,-119.9307 +Jackpot,41.9797,-114.6645 +Mesquite,36.8035,-114.1325 +Babbitt,38.5394,-118.6376 +Sutcliffe,39.9461,-119.6305 +Amargosa Valley,36.6438,-116.4003 +Woolsey,40.281,-118.3646 +Ruby Valley,40.3602,-115.4475 +Warm Springs,38.1905,-116.3701 +Sulphur,40.8746,-118.7366 +Winnemucca,40.9645,-117.7247 +North Fork,41.4824,-115.8167 +Verdi,39.5144,-119.9772 +McGill,39.402,-114.777 +Battle Mountain,40.6379,-116.9485 +Glenbrook,39.0986,-119.9341 +Palisade,40.6102,-116.1987 +Shafter,40.8547,-114.4448 +Eureka,39.5113,-115.9668 +Lemmon Valley,39.6879,-119.8364 +Alamo,37.3648,-115.163 +Nelson,35.7179,-114.8313 +Henry,41.6969,-114.8264 +Dry Lake,36.4566,-114.8431 +Rowland,41.9366,-115.6787 +Steptoe,39.4069,-114.7639 +Stateline,38.9678,-119.9439 +Humboldt,40.4556,-118.2676 +Gardnerville Ranchos,38.8872,-119.7426 +Incline Village,39.2639,-119.9453 +Frenchman,39.2794,-118.2701 +Mogul,39.5164,-119.9232 +Orovada,41.5609,-117.7763 +Beowawe,40.5927,-116.4773 +Tempiute,37.6525,-115.6359 +Skyland,39.0265,-119.9221 +Washoe City,39.3202,-119.8096 +Carson City,39.1512,-119.7474 +Rachel,37.6509,-115.7341 +Laughlin,35.1316,-114.689 +Winchester,36.1368,-115.1299 +Gold Point,37.3547,-117.3651 +Pronto,40.9282,-118.0607 +Sunnyside,38.4233,-115.0211 +Goldfield,37.7122,-117.2378 +Lee,40.5683,-115.6076 +Tippett,39.8685,-114.3497 +Sloan,35.9436,-115.2172 +Silver Peak,37.7578,-117.6386 +Owyhee,41.9166,-116.182 +Baker,39.015,-114.1233 +Mill City,40.6835,-118.0704 +Hawthorne,38.5249,-118.627 +Mountain City,41.8385,-115.9654 +Jarbidge,41.8735,-115.432 +Trego,40.7646,-119.1438 +Stillwater,39.5216,-118.5471 +Moapa Town,36.7708,-114.6473 +Minden,38.9609,-119.7688 +Hiko,37.6063,-115.2018 +Fallon,39.4739,-118.778 +Arthur,40.7966,-115.1909 +Contact,41.7694,-114.7525 +Gabbs,38.8654,-117.9238 +Overton,36.5433,-114.4469 +Mount Montgomery,37.9797,-118.3215 +Crescent Valley,40.4199,-116.5753 +Paradise Valley,41.49,-117.5322 +Boulder City,35.8407,-114.9257 +Yerington,38.9554,-119.1101 +Caselton,37.9191,-114.4853 +Islen,37.5297,-114.3217 +Golconda,40.9614,-117.5077 +Sandy Valley,35.8423,-115.6304 +Dayton,39.258,-119.5677 +Sun Valley,39.6106,-119.7765 +Cherry Creek,39.9005,-114.8859 +Rox,36.8808,-114.6672 +Las Vegas,36.2291,-115.2607 +Gerlach,40.6452,-119.3614 +Vya,41.5921,-119.8605 +Halleck,40.9508,-115.4528 +Currie,40.2666,-114.7431 +Stagecoach,39.3656,-119.3832 +Wadsworth,39.6322,-119.2901 +Wabuska,39.1438,-119.1832 +Gold Acres,40.2621,-116.7326 +Silver Springs,39.3826,-119.2149 +Tonopah,38.0997,-117.2483 +Ursine,37.9771,-114.2289 +Ely,39.2649,-114.8709 +Mount Charleston,36.2625,-115.6138 +Ruth,39.2793,-114.9899 +Blue Diamond,36.04,-115.4128 +Bunkerville,36.7198,-114.1221 +Deeth,41.0655,-115.2748 +Carp,37.1119,-114.4928 +Lida,37.4583,-117.4981 +Beatty,36.9352,-116.7025 +Sparks,39.5729,-119.7157 +Logandale,36.5966,-114.4841 +Salt Wells,39.3752,-118.5829 +Roach,35.6408,-115.3592 +Nixon,39.828,-119.3589 +Whitney,36.1005,-115.038 +Cal-Nev-Ari,35.2995,-114.8778 +Patrick,39.5471,-119.5793 +Wellington,38.7563,-119.376 +Thorne,38.6019,-118.5915 +Lane City,39.2605,-114.9314 +Virginia City,39.3074,-119.6484 +Carlin,40.719,-116.108 +Enterprise,36.0163,-115.2207 +Dyer,37.6493,-118.0345 +Charleston,41.6707,-115.5106 +Jean,35.7789,-115.3239 +Spring Creek,40.7387,-115.5972 +Austin,39.4978,-117.074 +Imlay,40.6581,-118.1441 +Harney,40.5774,-116.3248 +Elgin,37.3519,-114.5358 +Pyramid,40.0749,-119.7019 +Eastgate,39.3055,-117.879 +Preston,38.9157,-115.0644 +Searchlight,35.4828,-114.9157 +Topaz Lake,38.6976,-119.5427 +Silver City,39.2639,-119.6356 +Kingsbury,38.9909,-119.8837 +Lund,38.8654,-115.0091 +Sunrise Manor,36.1785,-115.049 +Spring Valley,36.0987,-115.2619 +Parran,39.8013,-118.7732 +Moapa Valley,36.6078,-114.4566 +Goodsprings,35.8303,-115.4291 +Lamoille,40.7238,-115.479 +Crestline,37.6636,-114.1261 +Toulon,40.0627,-118.6449 +Sand Pass,40.2616,-119.7794 +Valmy,40.7718,-117.131 +Pahrump,36.2411,-116.0176 +Manhattan,38.5388,-117.0734 +Golden Valley,39.6177,-119.8231 +Panaca,37.7889,-114.3997 +Johnson Lane,39.0489,-119.7245 +Hazen,39.5652,-119.0463 +Arden,36.018,-115.2308 +Genoa,39.0256,-119.8309 +Wells,41.1132,-114.9535 +Oasis,41.0286,-114.4763 +Weed Heights,38.9871,-119.209 +McDermitt,41.9909,-117.7045 +Moapa,36.6758,-114.6208 +North Las Vegas,36.288,-115.0901 +Patsville,41.8102,-115.9576 +Cold Springs,39.6927,-119.9775 +Flanigan,40.1707,-119.8866 +Ione,38.9483,-117.5876 +Indian Hills,39.0894,-119.7977 +Osino,40.9409,-115.6611 +Cosgrave,40.7966,-118.0157 +Tuscarora,41.3141,-116.2218 +Copperfield,39.6316,-119.9449 +Midas,41.2441,-116.7968 +Glendale,36.6653,-114.5692 +Acoma,37.5483,-114.1725 +East Las Vegas,36.0944,-115.0419 +Luning,38.5063,-118.1815 +Lakeridge,39.0382,-119.9397 +Pequop,41.2171,-114.5895 +Lovelock,40.1789,-118.4773 +Cobre,41.1119,-114.4009 +Caliente,37.6449,-114.4926 +Denio,41.97,-118.6125 +Mina,38.3898,-118.1116 +Kingston,39.2101,-117.0679 +Pioche,37.9519,-114.4434 +Elko,40.8387,-115.7674 +Reno,39.5497,-119.8483 +Unionville,40.4437,-118.1146 +New Washoe City,39.2963,-119.7757 +Oreana,40.3344,-118.3224 +Empire,40.5759,-119.3431 +Central Aguirre,17.9559,-66.2264 +Morovis,18.3269,-66.4058 +La Fermina Comunidad,18.1744,-65.8527 +Suárez Comunidad,18.4311,-65.8514 +Lajas Zona Urbana,18.0452,-67.0583 +La Liga Comunidad,18.2905,-66.0492 +Anon Raices Comunidad,18.1392,-66.5865 +Trujillo Alto Zona Urbana,18.3601,-66.0103 +Comerío Zona Urbana,18.2203,-66.2243 +Caguas Zona Urbana,18.2319,-66.0388 +Coquí,17.9793,-66.2255 +Trujillo Alto,18.3601,-66.0103 +Benítez Comunidad,18.2725,-65.8788 +Yabucoa Zona Urbana,18.0469,-65.8792 +Cabo Rojo Zona Urbana,18.0867,-67.1482 +Palmas del Mar Comunidad,18.0924,-65.8005 +Candelero Arriba,18.1017,-65.8342 +Vega Alta Zona Urbana,18.4152,-66.3211 +Aguada Zona Urbana,18.3804,-67.1884 +Arroyo,17.9706,-66.0609 +Betances Comunidad,18.0296,-67.1335 +Parcelas Viejas Borinquen Comunidad,18.1739,-66.0406 +Levittown,18.4454,-66.1759 +Sabana Eneas,18.0809,-67.0852 +Potala Pastillo Comunidad,17.9921,-66.4966 +Candelaria Comunidad,18.4043,-66.2175 +Magas Arriba Comunidad,18.0233,-66.7664 +Sabana Grande Zona Urbana,18.0821,-66.9673 +Levittown Comunidad,18.4454,-66.1759 +Santa Barbara,18.3951,-65.9175 +Ingenio,18.4454,-66.2259 +Luyando Comunidad,18.3575,-67.1553 +Toa Alta Zona Urbana,18.3883,-66.2503 +Gurabo,18.2529,-65.9786 +Playa Fortuna,18.3768,-65.7455 +Sabana Seca,18.4273,-66.1809 +Adjuntas,18.1638,-66.7235 +Tierras Nuevas Poniente,18.4614,-66.4891 +Vieques Zona Urbana,18.1463,-65.4428 +Parcelas Nuevas,18.14,-66.1702 +Boquerón,18.034,-67.1715 +Lares,18.2951,-66.8822 +Bufalo,18.4175,-66.5749 +Loíza,18.431,-65.88 +Maguayo,18.01,-67.0855 +San Germán Zona Urbana,18.0827,-67.0459 +Pajonal Comunidad,18.3848,-66.556 +Cataño Zona Urbana,18.4415,-66.1388 +G. L. García Comunidad,18.1258,-66.1027 +Galateo,18.364,-66.259 +Alianza Comunidad,18.4533,-66.8556 +Cidra,18.1775,-66.1582 +Cidra Zona Urbana,18.1775,-66.1582 +Canovanas,18.3783,-65.9056 +Utuado Zona Urbana,18.2697,-66.705 +Luis M. Cintron,18.3014,-65.6379 +El Mangó,18.2345,-65.8751 +Sabana Eneas Comunidad,18.0809,-67.0852 +Luis Llorens Torres,18.0566,-66.5267 +Aguas Claras Comunidad,18.2447,-65.6662 +Barahona Comunidad,18.3523,-66.4442 +Quebrada del Agua Comunidad,18.0379,-66.6846 +Parcelas La Milagrosa Comunidad,18.1716,-66.1868 +Candelero Abajo Comunidad,18.0942,-65.8165 +Santa Clara Comunidad,18.211,-66.132 +Animas,18.4457,-66.6365 +Rosa Sanchez,18.0622,-65.914 +Antón Ruíz Comunidad,18.1883,-65.8079 +Campo Rico,18.3371,-65.8974 +Moca,18.397,-67.1155 +Florida Zona Urbana,18.3643,-66.5611 +Punta Santiago,18.1619,-65.7584 +Vayas Comunidad,18.0541,-66.5858 +Camuy,18.4825,-66.8501 +Buena Vista,18.1153,-65.799 +La Luisa Comunidad,18.4488,-66.5079 +Candelero Arriba Comunidad,18.1017,-65.8342 +Santa Bárbara Comunidad,18.3951,-65.9175 +Barceloneta,18.4529,-66.5381 +Dorado Zona Urbana,18.4657,-66.2723 +Rafael González Comunidad,18.4264,-66.7872 +Cataño,18.4415,-66.1388 +Bairoa La Veinticinco Comunidad,18.2633,-66.022 +Búfalo Comunidad,18.4175,-66.5749 +Guánica Zona Urbana,17.9698,-66.9309 +Aguas Claras,18.2447,-65.6662 +Quebrada Comunidad,18.3602,-66.8353 +Santa Isabel Zona Urbana,17.9687,-66.4049 +Pole Ojea Comunidad,17.9743,-67.1832 +Yauco,18.0344,-66.8614 +Utuado,18.2697,-66.705 +Tiburones Comunidad,18.4382,-66.5809 +Sabana,18.4643,-66.3517 +Aguilita Comunidad,18.0284,-66.533 +Fuig,17.9857,-66.9171 +Humacao,18.1519,-65.8204 +Barranquitas,18.1848,-66.3103 +Bajadero,18.4235,-66.6769 +Coto Laurel,18.0491,-66.5517 +Las Carolinas,18.2539,-66.0658 +G. L. Garcia,18.1258,-66.1027 +Coamo,18.0765,-66.3638 +Puerto Real,18.0762,-67.1861 +Coto Norte,18.4328,-66.4409 +Hatillo,18.4811,-66.8221 +Imbéry Comunidad,18.4371,-66.5566 +Tallaboa,17.996,-66.7085 +Espino,18.276,-67.1193 +Playa Fortuna Comunidad,18.3768,-65.7455 +Sabana Seca Comunidad,18.4273,-66.1809 +Las Croabas Comunidad,18.3677,-65.6303 +Miranda,18.3869,-66.3789 +San Sebastián Zona Urbana,18.3355,-66.9949 +Guayabal,18.0761,-66.5017 +Jobos,17.9608,-66.1655 +Liborio Negron Torres,18.0431,-66.9426 +Mariano Colón Comunidad,18.0287,-66.3356 +Los Prados Comunidad,18.233,-66.0619 +Cayey,18.115,-66.163 +Isabela Zona Urbana,18.4991,-67.022 +Palmarejo Comunidad,18.0682,-66.3266 +Añasco Zona Urbana,18.286,-67.1411 +Corcovado Comunidad,18.461,-66.7778 +Palmas Comunidad,17.9878,-66.0254 +Santo Domingo,18.0722,-66.7458 +Salinas,17.9779,-66.2961 +Indios Comunidad,17.9942,-66.821 +Fránquez Comunidad,18.3401,-66.4276 +Maria Antonia,17.9789,-66.8889 +Salinas Zona Urbana,17.9779,-66.2961 +Lares Zona Urbana,18.2951,-66.8822 +Rafael Gonzalez,18.4264,-66.7872 +Candelaria Arenas,18.4175,-66.2203 +Stella Comunidad,18.3235,-67.2462 +Sumidero,18.2186,-66.1288 +Yabucoa,18.0469,-65.8792 +La Parguera,17.9746,-67.046 +Luquillo Zona Urbana,18.3735,-65.7218 +San Lorenzo,18.1894,-65.9674 +Santo Domingo Comunidad,18.0722,-66.7458 +Jobos Comunidad,17.9608,-66.1655 +Duque Comunidad,18.2381,-65.7432 +Los Panes Comunidad,18.1871,-66.0762 +La Fermina,18.1744,-65.8527 +Vázquez Comunidad,18.0688,-66.2339 +Rafael Capó Comunidad,18.3998,-66.7908 +Pajonal,18.3848,-66.556 +Aibonito,18.1398,-66.2659 +Palo Seco,18.0093,-65.9369 +Corozal,18.341,-66.3124 +Breñas Comunidad,18.4734,-66.3346 +Camuy Zona Urbana,18.4825,-66.8501 +Naguabo,18.2116,-65.737 +Maricao Zona Urbana,18.1837,-66.9809 +Lomas,18.2687,-65.9091 +Las Piedras Zona Urbana,18.1785,-65.8708 +Naguabo Zona Urbana,18.2116,-65.737 +Galateo Comunidad,18.364,-66.259 +Hato Arriba Comunidad,18.3503,-67.0333 +Las Ollas,18.0142,-66.4207 +Mora,18.4626,-67.0322 +Comerío,18.2203,-66.2243 +Carolina,18.4054,-65.9792 +Puerto Real Comunidad,18.0762,-67.1861 +Coto Norte Comunidad,18.4328,-66.4409 +Tallaboa Comunidad,17.996,-66.7085 +Manatí Zona Urbana,18.4283,-66.4823 +Cayuco,18.2922,-66.7348 +Guayanilla Zona Urbana,18.0222,-66.7898 +Cerrillos Hoyos Comunidad,18.0656,-66.5691 +Corcovado,18.461,-66.7778 +El Negro Comunidad,18.037,-65.8494 +Adjuntas Zona Urbana,18.1638,-66.7235 +Toa Baja Zona Urbana,18.4438,-66.2547 +Tallaboa Alta Comunidad,18.0504,-66.7018 +Corozal Zona Urbana,18.341,-66.3124 +Comunas,18.0871,-65.8405 +Central Aguirre Comunidad,17.9559,-66.2264 +Parcelas Peñuelas,18.0061,-66.3476 +Patillas Zona Urbana,18.0069,-66.0134 +Campanilla,18.4229,-66.2382 +Guánica,17.9698,-66.9309 +Ceiba Comunidad,18.4434,-66.3468 +San José Comunidad,18.4029,-66.2492 +Orocovis,18.2257,-66.3916 +Luquillo,18.3735,-65.7218 +Sabana Hoyos,18.4281,-66.6117 +El Mangó Comunidad,18.2345,-65.8751 +Jayuya Zona Urbana,18.2189,-66.5967 +Corral Viejo Comunidad,18.0756,-66.6524 +Arecibo Zona Urbana,18.4491,-66.7387 +El Combate,17.9818,-67.2086 +Yaurel Comunidad,18.0301,-66.056 +Rafael Hernández Comunidad,18.4718,-67.0787 +Vega Baja Zona Urbana,18.441,-66.3993 +Vega Baja,18.441,-66.3993 +Monte Verde Comunidad,18.0972,-66.6196 +Aguas Buenas,18.2573,-66.1063 +Palmer,18.3699,-65.774 +San Antonio Comunidad,18.4931,-67.0998 +Carrizales Comunidad,18.4811,-66.7878 +Hato Candal,18.3732,-65.7906 +Rodríguez Hevia,18.202,-66.1823 +Coco Comunidad,18.001,-66.2603 +Vayas,18.0541,-66.5858 +Pastos Comunidad,18.1193,-66.2601 +Parcelas La Milagrosa,18.1716,-66.1868 +Barahona,18.3523,-66.4442 +Fuig Comunidad,17.9857,-66.9171 +Playita Cortada Comunidad,17.982,-66.4402 +Jagual Comunidad,18.1611,-65.9997 +Yauco Zona Urbana,18.0344,-66.8614 +La Luisa,18.4488,-66.5079 +Juncal,18.3132,-66.9188 +Marueño Comunidad,18.0587,-66.6568 +Playita Comunidad,17.9623,-66.2909 +Campanilla Comunidad,18.4229,-66.2382 +San Lorenzo Zona Urbana,18.1894,-65.9674 +Playita,18.0405,-65.9071 +Hato Arriba,18.3503,-67.0333 +Lamboglia Comunidad,17.9846,-65.9851 +Emajagua Comunidad,18.0015,-65.8829 +Ciales Zona Urbana,18.3343,-66.4704 +Los Llanos Comunidad,18.0579,-66.4092 +Culebra Zona Urbana,18.3105,-65.3029 +Bajandas,18.1601,-65.7831 +Mucarabones Comunidad,18.3906,-66.2178 +Cayuco Comunidad,18.2922,-66.7348 +Pastos,18.1193,-66.2601 +La Playa,18.2864,-67.1866 +Bairoa,18.2591,-66.0404 +Carrizales,18.4811,-66.7878 +Playita Cortada,17.982,-66.4402 +San Isidro,18.3919,-65.8853 +Aceitunas Comunidad,18.4456,-67.0668 +Barceloneta Zona Urbana,18.4529,-66.5381 +Martorell Comunidad,18.0729,-65.8976 +Fajardo,18.333,-65.6591 +Tiburones,18.4382,-66.5809 +Monte Grande Comunidad,18.0895,-67.1201 +Hatillo Zona Urbana,18.4811,-66.8221 +Miranda Comunidad,18.3869,-66.3789 +Olimpo Comunidad,18.0027,-66.1095 +Peña Pobre,18.2174,-65.8221 +Toa Alta,18.3883,-66.2503 +Capitanejo Comunidad,18.0132,-66.5359 +Parcelas Mandry Comunidad,18.081,-66.5627 +Campo Rico Comunidad,18.3371,-65.8974 +Rosa Sánchez Comunidad,18.0622,-65.914 +Las Croabas,18.3677,-65.6303 +Cabo Rojo,18.0867,-67.1482 +Arroyo Zona Urbana,17.9706,-66.0609 +Sabana Hoyos Comunidad,18.4281,-66.6117 +Humacao Zona Urbana,18.1519,-65.8204 +El Ojo,18.0038,-66.3919 +Pueblito del Río Comunidad,18.2281,-65.8615 +Daguao,18.2217,-65.6798 +Garrochales,18.4572,-66.5676 +Lluveras Comunidad,18.0381,-66.9037 +Yaurel,18.0301,-66.056 +Barranquitas Zona Urbana,18.1848,-66.3103 +Esperanza Comunidad,18.1021,-65.4798 +Stella,18.3235,-67.2462 +Río Lajas,18.397,-66.2643 +Antón Ruiz,18.1883,-65.8079 +Maricao,18.1837,-66.9809 +San Juan,18.4037,-66.0636 +Hormigueros Zona Urbana,18.1437,-67.12 +Río Cañas Abajo,18.0391,-66.4679 +Magas Arriba,18.0233,-66.7664 +Jayuya,18.2189,-66.5967 +Las Ochenta Comunidad,17.9847,-66.3173 +Hormigueros,18.1437,-67.12 +La Plena,18.0411,-66.2065 +Fajardo Zona Urbana,18.333,-65.6591 +H. Rivera Colón Comunidad,18.3482,-66.2733 +Aguada,18.3804,-67.1884 +Rincón,18.3389,-67.2515 +Emajagua,18.0015,-65.8829 +Las Marias,18.2928,-67.145 +Parcelas Peñuelas Comunidad,18.0061,-66.3476 +Vega Alta,18.4152,-66.3211 +El Negro,18.037,-65.8494 +San Antonio,18.4468,-66.3002 +Brenas,18.4734,-66.3346 +Liborio Negrón Torres Comunidad,18.0431,-66.9426 +Palmas del Mar,18.0924,-65.8005 +Florida,18.3643,-66.5611 +María Antonia Comunidad,17.9789,-66.8889 +Las Ochenta,17.9847,-66.3173 +Aguilita,18.0284,-66.533 +Aguadilla,18.4382,-67.1536 +Juncos Zona Urbana,18.2264,-65.9163 +Palmer Comunidad,18.3699,-65.774 +Maguayo Comunidad,18.01,-67.0855 +Palmas,17.9878,-66.0254 +Palo Seco Comunidad,18.0093,-65.9369 +Las Marías Zona Urbana,18.2545,-66.9864 +Río Grande Zona Urbana,18.3789,-65.8389 +Peña Pobre Comunidad,18.2174,-65.8221 +Villalba Zona Urbana,18.1279,-66.4815 +Las Carolinas Comunidad,18.2539,-66.0658 +Luis Lloréns Torres Comunidad,18.0566,-66.5267 +Santa Clara,18.211,-66.132 +Juncos,18.2264,-65.9163 +Naranjito Zona Urbana,18.302,-66.246 +La Dolores,18.3725,-65.8546 +Guayabal Comunidad,18.0761,-66.5017 +Bayamón,18.3793,-66.1635 +Guayanilla,18.0222,-66.7898 +Punta Santiago Comunidad,18.1619,-65.7584 +Buena Vista Comunidad,17.9962,-66.052 +Hacienda San José Comunidad,18.2409,-66.072 +Corral Viejo,18.0756,-66.6524 +Parcelas Nuevas Comunidad,18.14,-66.1702 +Palmarejo,18.0412,-67.0764 +Jauca Comunidad,17.9627,-66.3681 +La Parguera Comunidad,17.9746,-67.046 +Luis M. Cintrón Comunidad,18.3014,-65.6379 +Coto Laurel Comunidad,18.0491,-66.5517 +Bajadero Comunidad,18.4235,-66.6769 +Daguao Comunidad,18.2217,-65.6798 +Aceitunas,18.4456,-67.0668 +Cacao Comunidad,18.4524,-66.9559 +Villalba,18.1279,-66.4815 +Pájaros,18.3609,-66.2184 +Corazón,17.994,-66.0832 +Loíza Zona Urbana,18.431,-65.88 +Tierras Nuevas Poniente Comunidad,18.4614,-66.4891 +Parcelas de Navarro Comunidad,18.2301,-66.0042 +Rafael Hernandez,18.4718,-67.0787 +Naranjito,18.302,-66.246 +Lomas Comunidad,18.2687,-65.9091 +Maunabo Zona Urbana,18.0056,-65.9009 +Guaynabo Zona Urbana,18.3839,-66.1134 +Las Marías Comunidad,18.2928,-67.145 +Dorado,18.4657,-66.2723 +Canóvanas Zona Urbana,18.3783,-65.9056 +Toa Baja,18.4438,-66.2547 +Luyando,18.3575,-67.1553 +La Dolores Comunidad,18.3725,-65.8546 +Monte Grande,18.0895,-67.1201 +Aibonito Zona Urbana,18.1398,-66.2659 +El Ojo Comunidad,18.0038,-66.3919 +El Paraiso,18.0648,-66.6021 +Carolina Zona Urbana,18.4054,-65.9792 +Bayamón Comunidad,18.1782,-66.1097 +La Plena Comunidad,18.0411,-66.2065 +San Isidro Comunidad,18.3919,-65.8853 +Betances,18.0296,-67.1335 +Río Lajas Comunidad,18.397,-66.2643 +La Yuca Comunidad,18.0727,-66.6077 +Ponce Zona Urbana,18.012,-66.6198 +Santa Isabel,17.9687,-66.4049 +Marueño,18.0587,-66.6568 +Maunabo,18.0056,-65.9009 +Las Piedras,18.1785,-65.8708 +Cayey Zona Urbana,18.115,-66.163 +Gurabo Zona Urbana,18.2529,-65.9786 +Río Blanco Comunidad,18.2123,-65.793 +Lajas,18.0452,-67.0583 +Martorell,18.0729,-65.8976 +Corazón Comunidad,17.994,-66.0832 +Río Cañas Abajo Comunidad,18.0391,-66.4679 +Piedra Aguza Comunidad,18.0339,-66.4949 +Vieques Comunidad,18.4271,-65.8353 +Bartolo,18.362,-65.8414 +Cabán Comunidad,18.4448,-67.1357 +Ramos Comunidad,18.3389,-65.7111 +Las Ollas Comunidad,18.0142,-66.4207 +Arecibo,18.4491,-66.7387 +Mayagüez,18.2003,-67.1397 +Mariano Colón,18.0287,-66.3356 +Palomas,18.2353,-66.2534 +Bayamón Zona Urbana,18.3793,-66.1635 +Pueblito del Rio,18.2281,-65.8615 +Lluveras,18.0381,-66.9037 +Monserrate,18.4367,-66.3579 +El Combate Comunidad,17.9818,-67.2086 +Jauca,17.9627,-66.3681 +San Sebastián,18.3355,-66.9949 +Palomas Comunidad,18.2353,-66.2534 +Guayama,17.9744,-66.1104 +Celada Comunidad,18.2666,-65.9621 +El Tumbao Comunidad,18.0015,-66.8996 +San Juan Zona Urbana,18.4037,-66.0636 +Guayama Zona Urbana,17.9744,-66.1104 +El Tumbao,18.0015,-66.8996 +Orocovis Zona Urbana,18.2257,-66.3916 +Piedra Gorda,18.4342,-66.8861 +Animas Comunidad,18.4457,-66.6365 +Indios,17.9942,-66.821 +Tibes Comunidad,18.0907,-66.6324 +Pueblito del Carmen Comunidad,18.0316,-66.1656 +Morovis Zona Urbana,18.3269,-66.4058 +La Alianza,18.3975,-66.5995 +Quebrada,18.3602,-66.8353 +Ingenio Comunidad,18.4454,-66.2259 +Olimpo,18.0027,-66.1095 +Candelaria Arenas Comunidad,18.4175,-66.2203 +Añasco,18.286,-67.1411 +Vieques,18.4271,-65.8353 +Aguas Buenas Zona Urbana,18.2573,-66.1063 +Bartolo Comunidad,18.362,-65.8414 +Rodríguez Hevia Comunidad,18.202,-66.1823 +San José,18.4029,-66.2492 +Juana Díaz Zona Urbana,18.0532,-66.5047 +Calzada,18.0075,-66.567 +Mora Comunidad,18.4626,-67.0322 +Vázquez,18.0688,-66.2339 +Sabana Grande,18.0821,-66.9673 +Imbery,18.4371,-66.5566 +Ceiba Zona Urbana,18.265,-65.6488 +Mucarabones,18.3906,-66.2178 +Isabela,18.4991,-67.022 +Garrochales Comunidad,18.4572,-66.5676 +Ponce,18.012,-66.6198 +Franquez,18.3401,-66.4276 +Sabana Comunidad,18.4643,-66.3517 +Lamboglia,17.9846,-65.9851 +La Playa Comunidad,18.2864,-67.1866 +Piedra Gorda Comunidad,18.4342,-66.8861 +Rafael Capo,18.3998,-66.7908 +Culebra,18.3105,-65.3029 +Tallaboa Alta,18.0504,-66.7018 +Monserrate Comunidad,18.4367,-66.3579 +Comunas Comunidad,18.0871,-65.8405 +Mayagüez Zona Urbana,18.2003,-67.1397 +Esperanza,18.1021,-65.4798 +El Paraiso Comunidad,18.0648,-66.6021 +Peñuelas Zona Urbana,18.0595,-66.7207 +Ceiba,18.4434,-66.3468 +Ciales,18.3343,-66.4704 +Juana Díaz,18.0532,-66.5047 +Coquí Comunidad,17.9793,-66.2255 +Quebradillas,18.4732,-66.936 +Capitanejo,18.0132,-66.5359 +Río Blanco,18.2123,-65.793 +Los Llanos,18.0579,-66.4092 +Benitez,18.2725,-65.8788 +Quebradillas Zona Urbana,18.4732,-66.936 +Río Grande,18.3789,-65.8389 +Moca Zona Urbana,18.397,-67.1155 +Cacao,18.4524,-66.9559 +Candelaria,18.4043,-66.2175 +Caguas,18.2319,-66.0388 +Boquerón Comunidad,18.034,-67.1715 +Alianza,18.4533,-66.8556 +Calzada Comunidad,18.0075,-66.567 +Duque,18.2381,-65.7432 +Hato Candal Comunidad,18.3732,-65.7906 +Peñuelas,18.0595,-66.7207 +Rincón Zona Urbana,18.3389,-67.2515 +Coamo Zona Urbana,18.0765,-66.3638 +Juncal Comunidad,18.3132,-66.9188 +Guaynabo,18.3839,-66.1134 +San Germán,18.0827,-67.0459 +Ramos,18.3389,-65.7111 +Pájaros Comunidad,18.3609,-66.2184 +Pole Ojea,17.9743,-67.1832 +Suárez,18.4311,-65.8514 +Manatí,18.4283,-66.4823 +Aguadilla Zona Urbana,18.4382,-67.1536 +Coco,18.001,-66.2603 +Jagual,18.1611,-65.9997 +Patillas,18.0069,-66.0134 +Potala Pastillo,17.9921,-66.4966 +La Alianza Comunidad,18.3975,-66.5995 +Bajandas Comunidad,18.1601,-65.7831 +Caban,18.4448,-67.1357 +Celada,18.2666,-65.9621 +Espino Comunidad,18.276,-67.1193 +H. Rivera Colon,18.3482,-66.2733 +Aspen Park,39.5423,-105.2968 +Gilman,39.5328,-106.3939 +Milner,40.4847,-107.0195 +Alamosa,37.4755,-105.877 +Platner,40.1553,-103.0674 +Red Cliff,39.509,-106.3698 +New Raymer,40.6067,-103.8438 +Bailey,39.4055,-105.4733 +Sherrelwood,39.839,-105.0014 +Nederland,39.9633,-105.5071 +Redvale,38.1761,-108.4126 +Lake City,38.0303,-107.3103 +Platteville,40.224,-104.8341 +Arboles,37.0201,-107.4222 +Rifle,39.5361,-107.772 +Dailey,40.6567,-102.7238 +Raymer,40.6079,-103.8435 +Poncha Springs,38.5131,-106.0961 +Black Hawk,39.8044,-105.4946 +Castle Pines,39.4625,-104.8706 +Penrose,38.4213,-105.0004 +Telluride,37.9365,-107.8264 +Palisade,39.1079,-108.3581 +Fowler,38.1296,-104.0255 +Wild Horse,38.8258,-103.0116 +Avondale,38.2351,-104.3435 +Goodrich,40.3511,-104.0616 +Stoner,37.5894,-108.3201 +Parker,39.5083,-104.7755 +Sugar City,38.2328,-103.6633 +Capulin,37.2819,-106.1051 +Vail,39.6386,-106.3608 +Battlement Mesa,39.4505,-108.0068 +Kline,37.1442,-108.1195 +Trimble,37.3903,-107.8465 +Rockvale,38.3647,-105.1648 +Frisco,39.5793,-106.0919 +Hereford,40.975,-104.3058 +Branson,37.0155,-103.8838 +Windsor,40.4679,-104.9214 +Utleyville,37.2711,-103.0313 +Rosita,38.0972,-105.3361 +Woodmoor,39.1063,-104.8456 +Severance,40.5328,-104.8622 +Denver,39.7621,-104.8759 +Goldfield,38.7177,-105.1253 +Rico,37.6885,-108.0315 +Arriba,39.2841,-103.2739 +Burlington,39.3045,-102.2714 +Andrix,37.2795,-103.1927 +Massadona,40.2527,-108.6404 +Somerset,38.9264,-107.4703 +Hartman,38.1211,-102.2216 +Dove Creek,37.7668,-108.906 +Mogote,37.0595,-106.0922 +Blende,38.2469,-104.5692 +Chimney Rock,37.1944,-107.3012 +Buckingham,40.6214,-103.9777 +Pueblo West,38.3551,-104.7266 +Hamilton,40.3672,-107.6131 +Rock Creek Park,38.7011,-104.8347 +Hooper,37.746,-105.8777 +Calhan,39.0344,-104.2992 +Rush,38.84,-104.0922 +Vilas,37.3737,-102.4474 +Lone Tree,39.5308,-104.871 +Dupont,39.838,-104.9119 +Wetmore,38.2381,-105.0847 +Edgewater,39.7508,-105.0627 +Ohio,38.5667,-106.6117 +Manassa,37.1738,-105.9372 +Lyons,40.2232,-105.2694 +Iliff,40.7585,-103.0661 +Edler,37.1764,-102.7783 +Moffat,38.002,-105.9055 +Gold Hill,40.0597,-105.4189 +Crisman,40.0416,-105.3674 +El Moro,37.2349,-104.4492 +Limon,39.2653,-103.6852 +Almont,38.6647,-106.8462 +Victor,38.709,-105.1419 +Greystone,40.6094,-108.674 +Collbran,39.2401,-107.9638 +Texas Creek,38.4131,-105.5806 +Fort Morgan,40.2549,-103.7913 +Seibert,39.298,-102.8695 +Elbert,39.2189,-104.5403 +Thornton,39.9205,-104.9443 +Livermore,40.7944,-105.2172 +Kirk,39.6127,-102.592 +Louisville,39.9709,-105.1441 +Fountain,38.6887,-104.6829 +Mountain Village,37.9323,-107.8578 +Mountain Meadows,40.027,-105.3832 +Buena Vista,38.8319,-106.1389 +Segundo,37.1225,-104.7396 +Mountain View,39.7748,-105.0567 +Kit Carson,38.7628,-102.7954 +Vernon,39.9399,-102.3074 +Cedaredge,38.8942,-107.9255 +Akron,40.1644,-103.2206 +Ninaview,37.6439,-103.2408 +Mulford,39.4064,-107.166 +Laporte,40.6385,-105.1444 +Sheridan Lake,38.4667,-102.2943 +Loveland,40.4167,-105.0621 +Crowley,38.1935,-103.8597 +Dotsero,39.6463,-107.054 +Estes Park,40.3702,-105.5222 +Phippsburg,40.2301,-106.9508 +Genoa,39.2783,-103.4989 +Westcliffe,38.134,-105.4654 +Wellington,40.7007,-105.0057 +Tyrone,37.4542,-104.2083 +Tiffany,37.0328,-107.5381 +Fraser,39.9303,-105.8031 +Wray,40.0799,-102.2278 +Walsh,37.3861,-102.28 +Buckeye,40.8272,-105.095 +Cathedral,38.0836,-107.0306 +Tabernash,39.9789,-105.8444 +Chromo,37.0364,-106.8434 +East Portal,39.9033,-105.6444 +Genesee,39.6873,-105.2719 +Lycan,37.6153,-102.2007 +Johnson Village,38.812,-106.1071 +Eagle,39.6368,-106.8157 +Broadmoor,38.7955,-104.8414 +Tarryall,39.1219,-105.4756 +Idalia,39.7029,-102.2938 +Lakewood,39.6978,-105.1168 +Montrose,38.4689,-107.8594 +Gardner,37.7833,-105.1656 +Ridgway,38.1573,-107.7545 +Falcon,38.933,-104.6086 +Ponderosa Park,39.3987,-104.6356 +Lochbuie,40.0117,-104.727 +Glen Haven,40.4539,-105.4492 +Gulnare,37.3172,-104.7519 +Prospect Heights,38.4264,-105.2375 +Dinosaur,40.2406,-109.0086 +Lawson,39.7658,-105.6275 +Joes,39.6559,-102.6785 +Lazear,38.78,-107.7817 +Model,37.3722,-104.245 +Cuchara,37.3792,-105.1003 +Hidden Lake,40.1055,-105.4777 +Dillon,39.6209,-106.0386 +Manitou Springs,38.8576,-104.9127 +Silverthorne,39.6564,-106.0871 +Jaroso,37.0028,-105.6242 +Hartsel,39.0217,-105.7958 +Copper Mountain,39.4769,-106.2011 +Arlington,38.3361,-103.3433 +Mancos,37.3466,-108.2939 +Twin Lakes,39.1037,-106.319 +Yuma,40.1239,-102.7164 +Briggsdale,40.6347,-104.3269 +Two Buttes,37.5606,-102.3964 +Vona,39.3023,-102.7435 +Castle Pines Village,39.4418,-104.897 +El Rancho,39.6986,-105.3336 +Nucla,38.2665,-108.5489 +Delhi,37.6422,-104.018 +Columbine Valley,39.5993,-105.035 +Avon,39.6448,-106.5138 +Western Hills,39.8322,-104.9972 +Yoder,38.8394,-104.2219 +Loma,39.2075,-108.805 +Buffalo Creek,39.3867,-105.2703 +Laird,40.0819,-102.102 +Del Norte,37.6784,-106.3539 +Oxford,37.1689,-107.7142 +Manzanola,38.1087,-103.8669 +Agate,39.4617,-103.9422 +Aristocrat Ranchettes,40.1096,-104.7549 +Haxtun,40.6415,-102.6295 +Garo,39.1078,-105.8903 +Stoneham,40.6055,-103.6666 +Parachute,39.45,-108.0549 +Walden,40.7315,-106.2813 +Merino,40.4847,-103.3535 +Superior,39.9346,-105.1586 +Timnath,40.5292,-104.9625 +Silverton,37.8111,-107.6646 +Snyder,40.3309,-103.592 +Willard,40.5544,-103.4863 +Flagler,39.2955,-103.0767 +Axial,40.2853,-107.792 +Coalmont,40.5625,-106.4445 +Jamestown,40.1179,-105.3916 +Alma,39.2863,-106.0682 +Evergreen,39.6349,-105.3356 +Galeton,40.5208,-104.5858 +Aspen,39.1948,-106.837 +Elizabeth,39.3611,-104.6061 +Marshdale,39.5925,-105.3122 +Cimarron,38.4425,-107.5567 +Romeo,37.1718,-105.9854 +Ward,40.0726,-105.5137 +Alpine,37.6877,-106.586 +Granby,40.0657,-105.9195 +The Pinery,39.4462,-104.7591 +Glendevey,40.8103,-105.935 +Redmesa,37.0944,-108.1704 +Pikeview,38.9153,-104.8222 +Centennial,39.5926,-104.8674 +Log Lane Village,40.2702,-103.8294 +Ault,40.5872,-104.7383 +Snowmass Village,39.2203,-106.9393 +Evans,40.366,-104.7389 +Garcia,37.0042,-105.5372 +Pitkin,38.6087,-106.5164 +Pine Grove,39.41,-105.3239 +Eads,38.4813,-102.7798 +Lindon,39.7394,-103.4138 +Beulah Valley,38.0664,-104.9785 +Franktown,39.3906,-104.7486 +Erie,40.041,-105.0393 +San Pablo,37.1492,-105.397 +Sanford,37.2574,-105.9007 +Aroya,38.8542,-103.1255 +Kersey,40.3878,-104.5645 +Blanca,37.4393,-105.5134 +Hugo,39.1361,-103.4735 +Firestone,40.1564,-104.9494 +Towaoc,37.2126,-108.7265 +Bedrock,38.315,-108.8909 +Coaldale,38.3563,-105.8154 +Caddoa,38.0478,-102.966 +Kings Canyon,40.9269,-106.227 +Proctor,40.8069,-102.9516 +North Washington,39.8085,-104.9792 +Orchard City,38.814,-107.9708 +Wondervu,39.9255,-105.395 +Howard,38.4098,-105.8424 +Welby,39.8403,-104.9655 +Delta,38.7561,-108.0773 +Dumont,39.7647,-105.6003 +Mesa,39.1664,-108.139 +Placerville,38.0167,-108.0534 +Silver Plume,39.6957,-105.7264 +Eldorado Springs,39.9367,-105.2625 +Paoli,40.6128,-102.472 +Vineland,38.2447,-104.4599 +Meredith,39.363,-106.73 +Ophir,37.8568,-107.8288 +Atwood,40.5503,-103.2746 +Boyero,38.9428,-103.2791 +Guffey,38.7591,-105.5024 +Cortez,37.3502,-108.577 +Crested Butte,38.8676,-106.9772 +Chama,37.162,-105.3783 +Whitewater,38.9911,-108.4534 +Wheat Ridge,39.7728,-105.1031 +Craig,40.517,-107.5558 +Colorado Springs,38.8674,-104.7606 +Stanley Park,39.6183,-105.2928 +Hillside,38.2653,-105.6117 +Crook,40.8587,-102.8014 +Berthoud,40.3061,-105.0403 +Trinidad,37.1748,-104.4907 +Mosca,37.6483,-105.8739 +Anton,39.7417,-103.2172 +Kittredge,39.6593,-105.3045 +North La Junta,37.9986,-103.5227 +Durango,37.2744,-107.8701 +Westminster,39.8837,-105.0627 +Stratmoor,38.7732,-104.7787 +Holly,38.0554,-102.1247 +Crawford,38.7053,-107.61 +Norwood,38.1287,-108.2919 +Rand,40.4539,-106.1814 +Estrella,37.3661,-105.9245 +Grand Junction,39.0878,-108.5673 +Bark Ranch,40.1156,-105.4417 +La Junta,37.9797,-103.5473 +Hale,39.6297,-102.1427 +Brookvale,39.6297,-105.4192 +Foxfield,39.5881,-104.7857 +Lynn,37.4219,-104.643 +Pierce,40.6335,-104.7551 +Fort Garland,37.4279,-105.435 +Villegreen,37.3059,-103.5202 +Frederick,40.1095,-104.9669 +Ludlow,37.3333,-104.5833 +Niwot,40.098,-105.1552 +Allison,37.0244,-107.4881 +Lafayette,39.9949,-105.0997 +Mead,40.2322,-104.9928 +Pandora,37.9333,-107.7856 +Sedalia,39.4396,-104.9699 +Fruitvale,39.0933,-108.479 +Last Chance,39.7408,-103.5916 +Wah Keeney Park,39.6603,-105.3405 +Mesita,37.0984,-105.602 +Peetz,40.962,-103.1143 +Lakeside,39.7802,-105.0579 +Lewis,37.5017,-108.66 +Weston,37.146,-104.8684 +Garfield,38.5493,-106.2896 +Powderhorn,38.2769,-107.0959 +Herzman Mesa,39.6105,-105.3103 +Winter Park,39.8779,-105.7828 +Minturn,39.5462,-106.3872 +Powder Wash,40.9458,-108.3115 +Broomfield,39.9541,-105.0527 +Roggen,40.1675,-104.3722 +Dolores,37.474,-108.4998 +Norrie,39.328,-106.6563 +Gunnison,38.5455,-106.9226 +Eastlake,39.9239,-104.9614 +La Salle,40.3484,-104.7062 +Henderson,39.9205,-104.8658 +Perry Park,39.2595,-104.9824 +Cornish,40.523,-104.4133 +Federal Heights,39.8651,-105.0154 +Ramah,39.1222,-104.1673 +Allenspark,40.2099,-105.5112 +Bowie,38.9214,-107.5401 +Adams City,39.8267,-104.9289 +Fairplay,39.2245,-105.9959 +Acres Green,39.5558,-104.8957 +Beulah,38.075,-104.9867 +Marvel,37.1125,-108.1267 +Masonville,40.4875,-105.2108 +Greenwood Village,39.6152,-104.9131 +Redlands,39.0884,-108.6577 +Masters,40.3094,-104.245 +Stonewall Gap,37.1605,-105.0342 +Holly Hills,39.6679,-104.9218 +Kiowa,39.343,-104.4554 +Eaton,40.5272,-104.7125 +Lincoln Park,38.4255,-105.2131 +Gem Village,37.2192,-107.6373 +Ken Caryl,39.5769,-105.1138 +Hot Sulphur Springs,40.0748,-106.1025 +Sargents,38.4042,-106.415 +Grand Mesa,39.0403,-107.9498 +Chacra,39.577,-107.4509 +Lazy Acres,40.0837,-105.3312 +Gilcrest,40.2842,-104.782 +McCoy,39.9143,-106.7258 +Peyton,39.033,-104.4904 +Pritchett,37.37,-102.8586 +Fulford,39.5166,-106.6576 +Wiggins,40.2275,-104.0732 +Grant,39.4597,-105.6617 +Roxborough Park,39.4492,-105.0746 +Arvada,39.8321,-105.151 +Bayfield,37.2353,-107.5948 +Larkspur,39.2318,-104.8926 +Leyden,39.8447,-105.1842 +Morrison,39.6427,-105.1938 +Vollmar,40.135,-104.8389 +Aurora,39.7084,-104.7274 +Crestone,37.9945,-105.6963 +Basalt,39.3664,-107.0414 +Woodland Park,38.9987,-105.0595 +Stone City,38.4486,-104.8611 +San Antonio,37.0208,-106.0281 +Rocky Ford,38.0499,-103.7227 +Rangely,40.0864,-108.7774 +Campo,37.1047,-102.5786 +Stonewall,37.1522,-105.0172 +Starkville,37.1166,-104.5231 +San Pedro,37.1597,-105.4025 +Hawley,37.9828,-103.7111 +Dacono,40.0618,-104.95 +Meeker,40.0498,-107.8952 +Shaw Heights,39.8566,-105.0391 +Yellow Jacket,37.5344,-108.7173 +Mineral Hot Springs,38.1689,-105.9258 +El Jebel,39.4051,-107.092 +Chivington,38.4364,-102.5435 +Cherry Creek,39.6094,-104.8645 +Palmer Lake,39.1156,-104.9051 +Holyoke,40.5826,-102.2985 +Idaho Springs,39.7444,-105.501 +Brush,40.2581,-103.6321 +Chipita Park,38.9244,-105.0066 +Lake George,38.9797,-105.3575 +Las Animas,38.0695,-103.2236 +Cahone,37.6589,-108.8079 +Tacoma,37.5236,-107.782 +Pleasant View,37.5894,-108.7651 +La Garita,37.8408,-106.2467 +Parshall,40.0555,-106.176 +Westcreek,39.1498,-105.1626 +Camp Bird,37.9728,-107.7264 +Saguache,38.0861,-106.1409 +Blue Mountain,40.2483,-108.8618 +Bow Mar,39.6252,-105.0513 +Lamar,38.0739,-102.6155 +Snowmass,39.3317,-106.9862 +Stonington,37.2936,-102.1874 +Todd Creek,39.9795,-104.8727 +Carr,40.8961,-104.875 +Valmont,40.0341,-105.2058 +Littleton,39.5911,-105.0194 +Sterling,40.6207,-103.1919 +Mack,39.2239,-108.8651 +Grand View Estates,39.5439,-104.8189 +Rye,37.9213,-104.9323 +Center,37.7514,-106.1102 +Montezuma,39.5817,-105.8681 +Ovid,40.9605,-102.3884 +Gerrard,37.6783,-106.5752 +Cotopaxi,38.3738,-105.6911 +Pagosa Springs,37.2675,-107.0301 +Byers,39.7101,-104.219 +Stratton,39.3029,-102.6035 +Burns,39.8739,-106.8856 +Divide,38.945,-105.1619 +Marshall,39.9555,-105.2297 +South Fork,37.6694,-106.6425 +Creede,37.8492,-106.9264 +Smeltertown,38.5524,-106.0085 +Sugarloaf,40.0189,-105.4078 +Nunn,40.7132,-104.7884 +Wattenberg,40.0278,-104.8366 +Bethune,39.3038,-102.4234 +Ignacio,37.1178,-107.6375 +Gypsum,39.6288,-106.9335 +Glenwood Springs,39.5459,-107.3348 +Edwards,39.6215,-106.6183 +Rollinsville,39.9232,-105.5136 +Otis,40.15,-102.9621 +Wigwam,38.5394,-104.6355 +Crystola,38.9558,-105.0272 +Egnar,37.9164,-108.9401 +Georgetown,39.7184,-105.6943 +Hoyt,40.0155,-104.075 +Cope,39.6639,-102.851 +Bonanza Mountain Estates,39.9768,-105.4795 +Bondad,37.0458,-107.8762 +Grand Lake,40.2504,-105.8236 +Keota,40.7028,-104.0752 +Garden City,40.3948,-104.6893 +Blue River,39.4357,-106.0354 +Greenhorn,37.907,-104.8533 +Strasburg,39.7181,-104.3195 +Hasty,38.1063,-102.956 +Gunbarrel,40.0634,-105.1714 +Castle Pines North,39.4717,-104.8948 +Grover,40.8691,-104.226 +Bristol,38.1222,-102.3116 +Glendale,39.7036,-104.9352 +Bellvue,40.6264,-105.1716 +No Name,39.5597,-107.293 +La Veta,37.5086,-105.0086 +Black Forest,39.0608,-104.6752 +Cheyenne Wells,38.8192,-102.3521 +Cattle Creek,39.4667,-107.2599 +Steamboat Springs,40.4774,-106.8233 +San Acacio,37.2086,-105.5666 +Cheraw,38.1076,-103.5112 +Coal Creek,38.362,-105.1418 +Lucerne,40.4819,-104.6997 +Portland,38.0892,-107.6952 +Cimarron Hills,38.8591,-104.6995 +Salt Creek,38.2389,-104.5881 +Williamsburg,38.384,-105.1712 +Saint Ann Highlands,39.9872,-105.4558 +Saint Marys,39.8162,-105.6479 +Hayden,40.4852,-107.2422 +Mayday,37.3506,-108.0767 +Hesperus,37.2861,-108.0395 +Bergen Park,39.6914,-105.3617 +Gill,40.4541,-104.5422 +Gleneagle,39.0453,-104.8288 +Timpas,37.8181,-103.7741 +Eckley,40.1126,-102.4885 +Greenwood,38.205,-105.0969 +Kim,37.2471,-103.3533 +Cañon City,38.4429,-105.2204 +Pinecliffe,39.9319,-105.4283 +Drake,40.4319,-105.3403 +Fenders,39.5739,-105.2169 +Idledale,39.6688,-105.2432 +Simla,39.141,-104.0818 +Woody Creek,39.2708,-106.8883 +Sedgwick,40.9351,-102.5256 +Hoehne,37.2815,-104.389 +Hotchkiss,38.7991,-107.7136 +Castle Rock,39.3761,-104.8534 +Salida,38.53,-105.9983 +Ouray,38.0276,-107.6734 +Brookside,38.4137,-105.1913 +Poudre Park,40.6861,-105.3047 +Maybell,40.519,-108.0888 +Colona,38.3274,-107.7795 +Elk Springs,40.3555,-108.4484 +Fort Carson,38.7403,-104.7841 +Padroni,40.7818,-103.1734 +Trinchera,37.0422,-104.0475 +Pueblo,38.2701,-104.6131 +Colorado City,37.9365,-104.8459 +Sheridan,39.6467,-105.018 +Brandon,38.4464,-102.4412 +Breckenridge,39.4994,-106.0433 +Bonanza,38.2966,-106.1419 +Conifer,39.5211,-105.3053 +Loghill Village,38.1962,-107.779 +Meridian,39.5389,-104.8475 +Applewood,39.7524,-105.1604 +Cedarwood,37.9417,-104.6175 +Ordway,38.2209,-103.7567 +Peoria,39.6649,-104.1456 +Wiley,38.1553,-102.7193 +Louviers,39.4799,-105.0033 +Woodrow,39.9883,-103.5916 +Naturita,38.2186,-108.5683 +Dunton,37.7728,-108.094 +Peconic,39.3208,-102.1488 +Silver Cliff,38.1204,-105.4104 +Monte Vista,37.5788,-106.1503 +Yampa,40.153,-106.9084 +Fort Lupton,40.0826,-104.8015 +Fruita,39.154,-108.7285 +Orchard,40.3318,-104.1183 +Aguilar,37.4036,-104.655 +Weldona,40.3484,-103.9693 +Cascade,38.8967,-104.9722 +Pine Brook Hill,40.0471,-105.3103 +Deer Trail,39.6157,-104.0435 +Berkley,39.8045,-105.0281 +Longmont,40.1691,-105.0996 +Towner,38.4705,-102.0804 +Singleton,39.443,-105.6019 +Sequndo,40.0361,-105.3323 +La Junta Gardens,38.0014,-103.5549 +Fort Collins,40.5479,-105.0658 +Oak Creek,40.2737,-106.9574 +Silt,39.5479,-107.6538 +Catherine,39.4017,-107.1331 +Commerce City,39.8642,-104.8434 +Inverness,39.5787,-104.8624 +Molina,39.1891,-108.0604 +Amherst,40.6831,-102.1727 +Redstone,39.184,-107.2406 +Dove Valley,39.574,-104.8289 +Wolcott,39.7035,-106.6799 +Altona,40.1254,-105.2923 +Boone,38.2493,-104.2579 +Midland,38.8469,-105.1577 +Haswell,38.4525,-103.1649 +Prospect Valley,40.0736,-104.415 +Derby,39.8401,-104.917 +Valdez,37.1239,-104.6794 +Toponas,40.0603,-106.8081 +Keystone,39.59,-105.9383 +Sawpit,37.9947,-108.0011 +Carbondale,39.3948,-107.2145 +Boulder,40.0249,-105.2523 +Florissant,38.9445,-105.29 +Paragon Estates,39.9802,-105.1811 +De Beque,39.288,-108.1953 +Seven Hills,40.0361,-105.3323 +Kremmling,40.0565,-106.3782 +Como,39.3161,-105.8928 +Conejos,37.0872,-106.0162 +Olathe,38.6084,-107.983 +Bond,39.8744,-106.6873 +Englewood,39.6468,-104.9942 +Columbine,40.8541,-106.9659 +Villa Grove,38.2486,-105.9492 +Cherry Hills Village,39.6375,-104.9481 +Toonerville,37.775,-103.1641 +Deora,37.5803,-102.9666 +Leadville,39.2467,-106.2935 +McClave,38.1375,-102.8505 +Irondale,39.8494,-104.8972 +Uravan,38.3683,-108.7365 +Antonito,37.0767,-106.0102 +Milliken,40.3106,-104.8556 +Green Mountain Falls,38.9343,-105.0237 +Golden,39.7406,-105.2122 +Rio Blanco,39.7378,-107.9454 +Greeley,40.415,-104.7696 +Bennett,39.7366,-104.4286 +La Jara,37.2735,-105.9598 +Julesburg,40.9851,-102.2626 +Paonia,38.8698,-107.5915 +Jefferson,39.3772,-105.8006 +Keenesburg,40.1059,-104.5072 +Heeney,39.8711,-106.3002 +Brighton,39.9714,-104.7966 +Florence,38.3835,-105.1114 +Parlin,38.5028,-106.7284 +Granada,38.063,-102.3117 +Boncarbo,37.2167,-104.695 +Cowdrey,40.8597,-106.3131 +Hudson,40.0899,-104.6215 +Walsenburg,37.6306,-104.7817 +Central City,39.7963,-105.515 +San Luis,37.2023,-105.4224 +Tall Timber,40.0151,-105.3498 +Granite,39.0436,-106.2634 +Fleming,40.6818,-102.8395 +Ellicott,38.8256,-104.3829 +Springfield,37.4049,-102.6189 +Stonegate,39.5356,-104.8032 +South Platte,39.4075,-105.1714 +Jansen,37.1581,-104.5501 +Swink,38.0141,-103.6285 +Mount Crested Butte,38.9085,-106.9587 +Sunshine,40.0636,-105.3696 +Olney Springs,38.1663,-103.9445 +Lay,40.5266,-107.882 +Vigil,37.1611,-104.9417 +Arapahoe,38.85,-102.1821 +Johnstown,40.3499,-104.9479 +Highlands Ranch,39.5419,-104.9708 +State Bridge,39.8578,-106.6498 +Northglenn,39.9106,-104.9783 +Hillrose,40.3247,-103.5223 +Maysville,38.5305,-106.2157 +Indian Hills,39.6294,-105.2508 +Matheson,39.1717,-103.9755 +Orchard Mesa,39.0364,-108.5173 +Monument,39.0736,-104.8469 +Eldora,39.9536,-105.578 +Leyner,40.0511,-105.1073 +Cripple Creek,38.7461,-105.184 +Marble,39.0717,-107.1906 +New Castle,39.5785,-107.5262 +Karval,38.7333,-103.5372 +Clifton,39.0763,-108.4606 +Doyleville,38.4517,-106.6095 +Gateway,38.6825,-108.9751 +Hygiene,40.1886,-105.1808 +Hiawatha,40.9883,-108.6204 +Crescent,39.9283,-105.3428 +Pagosa Junction,37.0381,-107.1992 +Cardiff,39.5061,-107.3109 +Empire,39.7594,-105.6827 +Wallstreet,40.0389,-105.3908 +Red Feather Lakes,40.8071,-105.5864 +Cokedale,37.1443,-104.6215 +Watkins,39.6971,-104.5787 +Charlotte Amalie,18.3419,-64.9332 +Frederiksted,17.7122,-64.8812 +Cruz Bay,18.326,-64.7792 +Coral Bay,18.3453,-64.7185 +Tutu,18.3405,-64.8884 +Christiansted,17.7439,-64.7065 +Tofty,65.0933,-150.8772 +Silvertip,60.7506,-149.3697 +Belkofski,55.0889,-162.0306 +Morzhovoi,54.9069,-163.3186 +Portage Creek,58.9049,-157.669 +Annette,55.0617,-131.5417 +Talkeetna,62.2753,-150.0814 +Biorka,53.8269,-166.2081 +King Salmon,58.753,-156.5061 +Alcan,62.7231,-141.1881 +Standard,64.7808,-148.5297 +Edna Bay,55.964,-133.6662 +Nuiqsut,70.2135,-150.9897 +Tee Harbor,58.4103,-134.7558 +Dot Lake Village,63.6622,-144.016 +Tolsona,62.0844,-146.092 +Spenard,61.1886,-149.9064 +Dillingham,59.055,-158.5379 +Kodiak,57.7934,-152.4059 +Jonesville,61.7306,-148.9347 +Nikolski,53.0133,-168.7536 +Happy Valley,59.9137,-151.6072 +Akutan,54.1594,-165.7328 +Nondalton,59.9711,-154.8626 +McCarthy,61.454,-142.8648 +Kasilof,60.331,-151.2293 +Whitestone Logging Camp,58.0653,-135.42 +Allakaket,66.5506,-152.627 +Aleknagik,59.2946,-158.6896 +Sunrise,60.8701,-149.4678 +Chase,62.4624,-149.9371 +Selawik,66.5988,-159.9996 +Willow,61.8157,-149.753 +Long,64.4036,-155.4972 +Circle,65.7936,-144.1813 +Susitna,61.497,-150.6221 +Mud Bay,59.1517,-135.3584 +Toksook Bay,60.5333,-165.1557 +Newhalen,59.727,-154.897 +Russian Mission,61.7824,-161.3567 +Waterfall,55.2972,-133.2406 +Mendeltna,62.1359,-146.5388 +Butte,61.5539,-149.0035 +Shaktoolik,64.3573,-161.1983 +Golovin,64.564,-162.9989 +King Cove,55.0858,-162.2979 +McGrath,62.9424,-155.563 +Curry,62.6147,-150.0119 +Nelchina,61.9989,-146.8112 +Coldfoot,67.2475,-150.1079 +Salt Chuck,55.6264,-132.5536 +May Creek,61.3486,-142.6933 +Port Armstrong,56.2969,-134.6617 +Wrangell,56.3319,-132.0221 +Ivanof Bay,55.9183,-159.4933 +Kipnuk,59.9363,-164.0613 +Tuntutuliak,60.3843,-162.6838 +Tok,63.3289,-143.0375 +Mountain Village,62.0911,-163.7209 +Willow Creek,61.8337,-145.1837 +Wales,65.6119,-168.0773 +Tenakee Springs,57.7913,-135.1955 +Kustatan,60.7158,-151.7475 +Northway Junction,63.0136,-141.7725 +Chistochina,62.5921,-144.8136 +Lees Camp,64.6203,-164.3914 +Saxman,55.3232,-131.5893 +White Mountain,64.6812,-163.4228 +Aleneva,58.059,-152.9091 +Cooper Landing,60.4945,-149.8409 +Funny River,60.4873,-150.7808 +Port Lions,57.8754,-152.8745 +Big Lake,61.526,-149.9721 +Skwentna,61.9314,-151.2095 +Klawock,55.5556,-133.0868 +Ridgeway,60.5305,-151.0301 +Nunaka Valley,61.2067,-149.7683 +Sanak,54.4781,-162.8175 +Unalaska,53.8984,-166.568 +Holikachuk,62.9097,-159.5175 +Kiwalik,66.0228,-161.8419 +Moose Creek,64.714,-147.164 +Thorne Bay,55.6652,-132.5337 +Covenant Life,59.3998,-136.0948 +Petersville,62.4227,-150.8441 +Karluk,57.5845,-154.3255 +Bill Moores,62.9497,-163.7789 +Old Minto,64.8872,-149.1747 +Tanacross,63.3523,-143.431 +Larsen Bay,57.5404,-154.0056 +Port William,58.4922,-152.5828 +Herendeen Bay,55.7681,-160.6858 +Fritz Creek,59.747,-151.2884 +Haycock,65.2097,-161.1656 +Bell Island Hot Springs,55.9317,-131.5653 +Eagle,64.7813,-141.1978 +Nenana,64.5384,-149.0858 +Matanuska,61.5419,-149.2297 +Medfra,63.1067,-154.7142 +Kaktovik,70.1231,-143.6257 +Goodnews Bay,59.1271,-161.5754 +Sleetmute,61.6516,-157.1251 +Tyonek,61.0734,-151.333 +Attu,52.9375,173.2375 +Folger,63.5617,-156.0833 +Bettles,66.9084,-151.5369 +Kalifornsky,60.4417,-151.1972 +Saint Michael,63.4664,-162.1324 +Chignik,56.3003,-158.4132 +Northway,62.9479,-141.8322 +Noatak,67.5987,-163.0309 +Long Island,54.9169,-132.6792 +Meadow Lakes,61.638,-149.608 +Sand Point,55.3227,-160.4834 +Iliamna,59.7957,-154.8698 +Healy,63.9454,-149.0152 +Anchorage,61.1508,-149.1091 +Libbyville,58.7778,-157.0531 +Buckland,65.9784,-161.1341 +Venetie,67.0205,-146.375 +Chandalar,67.5053,-148.4936 +Ferry,64.0496,-148.9205 +Arctic Village,68.1421,-145.4957 +Kaltag,64.3223,-158.7436 +Lowell Point,60.0629,-149.4898 +Unalakleet,63.8922,-160.786 +Scammon Bay,61.842,-165.5833 +Togiak,59.0693,-160.4727 +Baranof,57.0894,-134.8331 +Kotlik,63.0305,-163.553 +Eureka,65.1794,-150.2144 +Anaktuvuk Pass,68.15,-151.7162 +Ekwok,59.3462,-157.4861 +Seward,60.1124,-149.3925 +Brevig Mission,65.3413,-166.4953 +Nightmute,60.4874,-164.8195 +Newtok,60.9341,-164.6385 +Gustavus,58.4275,-135.7492 +Tokeen,55.9944,-133.4639 +Big Delta,64.1486,-145.7453 +Platinum,58.978,-161.7185 +Umiat,69.3669,-152.1442 +Sunnyside,57.9828,-136.2522 +Old Harbor,57.2169,-153.3252 +Atka,52.2301,-174.2133 +Wasilla,61.577,-149.4661 +Petersburg,56.7567,-132.8727 +Trapper Creek,62.3189,-150.3965 +Flat,62.4415,-158.0405 +Ward Cove,55.4119,-131.7228 +Girdwood,60.9425,-149.1664 +Kasaan,55.5573,-132.4137 +Glennallen,62.1278,-145.7693 +Deering,66.0723,-162.7437 +Chatham,57.5153,-134.9436 +Hoonah,58.1117,-135.4246 +Lazy Mountain,61.6516,-148.902 +Pilot Point,57.5585,-157.6798 +Noorvik,66.8292,-161.0376 +Crystal Falls,60.4858,-145.7292 +Tununak,60.579,-165.2077 +Oskawalik,61.7439,-158.1928 +Metlakatla,55.1182,-131.5689 +Kokhanok,59.4156,-154.7454 +Lutak,59.3997,-135.6314 +Salamatof,60.6154,-151.3159 +Halibut Cove,59.5744,-151.2296 +Prudhoe Bay,70.3128,-148.6957 +Ugashik,57.5728,-157.1219 +Chuathbaluk,61.5746,-159.2489 +Wainwright,70.638,-159.9713 +Takotna,62.9823,-156.0841 +Palmer,61.5971,-149.1147 +Pelican,57.9577,-136.2178 +Ophir,63.1447,-156.5194 +Summit,63.3314,-149.1222 +Soldotna,60.4862,-151.0672 +Denali Park,63.5909,-148.7107 +Moose Pass,60.4997,-149.4464 +Nikolaevsk,59.8295,-151.5964 +Igiugig,59.3057,-155.8739 +Mekoryuk,60.3704,-166.2668 +Colorado,63.1628,-149.4358 +Point Baker,56.3482,-133.6167 +Craig,55.4913,-133.1165 +Telida,63.3839,-153.2822 +Kotzebue,66.8766,-162.5231 +Stevens Village,66.025,-149.0802 +Chena Hot Springs,65.0531,-146.0556 +Crown Point,60.4267,-149.3529 +Douglas,58.2756,-134.3925 +Meyers Chuck,55.7408,-132.2564 +Akiak,60.9061,-161.2122 +Pilot Station,61.9422,-162.8828 +Chitina,61.5276,-144.2991 +Koliganek,59.6971,-157.2259 +Kenai,60.5619,-151.1985 +Nikiski,60.7152,-151.2317 +Cold Bay,55.2122,-162.7475 +Levelock,59.0683,-156.901 +Bear Creek,60.2071,-149.3524 +Hughes,66.0452,-154.2376 +Koyuk,64.9411,-161.1454 +Akiachak,60.9209,-161.402 +Savoonga,63.6797,-170.4831 +Saint George,56.5791,-169.6114 +Pitkas Point,62.0374,-163.2681 +Hyder,55.9812,-130.0382 +Delta Junction,64.0603,-145.7057 +Cottonwood,61.5133,-149.5642 +Kwethluk,60.7978,-161.4147 +Rampart,65.4087,-149.9916 +Eureka Roadhouse,61.9648,-147.1523 +Tatitlek,60.8921,-146.6727 +Chignik Lake,56.2631,-158.8049 +Anchor Point,59.7703,-151.7052 +Tanaina,61.656,-149.4272 +New Stuyahok,59.4762,-157.271 +Huslia,65.7002,-156.3386 +Hogatza,66.1897,-155.7172 +Stony River,61.7936,-156.586 +Paradise,62.4156,-160.0492 +Amchitka,51.5672,178.8775 +Port Alexander,56.2346,-134.6532 +Knik,61.4578,-149.7289 +Funter,58.2564,-134.8958 +Kiana,66.9726,-160.4344 +Manokotak,59.0047,-159.0074 +Twin Hills,59.0815,-160.2826 +Kwigillingok,59.8767,-163.1718 +Coffman Cove,56.0057,-132.8395 +Atmautluak,60.8622,-162.2858 +Whittier,60.7852,-148.6455 +Homer,59.653,-151.5255 +Point Lay,69.7442,-162.8678 +Lime Village,61.327,-155.3182 +Elfin Cove,58.1912,-136.3129 +Diamond Ridge,59.7024,-151.5545 +Circle Hot Springs,65.4833,-144.6342 +Kupreanof,56.8089,-132.9889 +Chefornak,60.155,-164.255 +Nunapitchuk,60.8772,-162.4615 +Kashegelok,60.8547,-157.8339 +Oscarville,60.7287,-161.773 +Port Heiden,56.9426,-158.6047 +Port Chilkoot,59.2289,-135.4378 +Nome,64.5213,-165.4053 +South Naknek,58.6637,-156.9908 +Fox,64.9749,-147.609 +Shungnak,66.8805,-157.1499 +Anderson,64.3074,-149.1562 +Ikatan,54.75,-163.3083 +Point Hope,68.3446,-166.6737 +Evansville,66.9205,-151.4203 +Lower Tonsina,61.655,-144.6586 +Perryville,55.9315,-159.1559 +Atqasuk,70.481,-157.3835 +Deadhorse,70.2056,-148.5117 +Red Devil,61.7735,-157.346 +Angoon,57.455,-134.4978 +Nyac,61.0042,-159.9406 +Point MacKenzie,61.3463,-150.0788 +Nelson Lagoon,55.8451,-161.6103 +Akhiok,56.945,-154.2151 +Central,65.5213,-144.6409 +Egegik,58.2182,-157.4037 +Kokrines,64.9378,-154.6919 +Miller House,65.5242,-145.2161 +Donnelly,63.6736,-145.8833 +Tetlin,63.1481,-142.4947 +Clarks Point,58.8329,-158.5276 +Nunam Iqua,62.511,-164.8998 +Todd,57.4611,-135.0397 +Eska,61.7378,-148.9086 +Beaver,66.383,-147.3219 +Fairbanks,64.8353,-147.6533 +Millers Landing,59.6675,-151.4347 +Dry Creek,63.6255,-144.6364 +Eagle River,61.3214,-149.5678 +Bethel,60.7928,-161.7917 +Koggiung,58.8669,-157.0075 +Hooper Bay,61.5262,-166.1146 +Ouzinkie,57.9222,-152.4674 +Nanwalek,59.3302,-151.911 +Umkumiute,60.4997,-165.1989 +Gulkana,62.2152,-145.4449 +Nabesna,62.4606,-143.0402 +Saint Paul,57.1815,-170.2743 +Mentasta Lake,62.9867,-143.5194 +New Tokeen,55.9364,-133.3242 +Lower Kalskag,61.5163,-160.3556 +Aurora Lodge,64.4706,-146.9386 +Tazlina,62.0536,-145.4362 +Elim,64.6184,-162.2762 +Marshall,61.8753,-162.0492 +Excursion Inlet,58.4355,-135.373 +Garner,63.8292,-148.9733 +College,64.8694,-147.8216 +Kalskag,61.5416,-160.3337 +Kivalina,67.733,-164.5212 +Stebbins,63.4705,-162.2599 +Nulato,64.7052,-158.2382 +Cordova,60.5348,-145.6092 +Hope,60.8924,-149.6351 +Kake,56.9727,-133.9145 +Hawk Inlet,58.1258,-134.7531 +Paxson,63.011,-145.7312 +Kasigluk,60.8786,-162.5274 +Naknek,58.7847,-156.8967 +Clam Gulch,60.2001,-151.3939 +Kachemak City,59.6674,-151.4507 +Beluga,61.1869,-151.1637 +Dot Lake,63.5749,-144.1815 +Two Rivers,64.8908,-147.0898 +Mosquito Lake,59.471,-136.1458 +Lemeta,64.8597,-147.7322 +Hollis,55.5113,-132.7023 +Tin City,65.5586,-167.9481 +Candle,65.9133,-161.9244 +Copper Center,61.9845,-145.3544 +Holy Cross,62.1868,-159.8198 +Shageluk,62.6684,-159.563 +Houston,61.6159,-149.8003 +Port Graham,59.34,-151.8464 +Kobuk,66.931,-156.8938 +Klukwan,59.3987,-135.8886 +Port Clarence,65.1108,-166.7684 +Kongiganak,59.958,-162.8831 +Naukati Bay,55.8801,-133.1992 +Adak,51.8815,-176.6295 +Gambell,63.7538,-171.6881 +Chickaloon,61.804,-148.4103 +Thane,58.2642,-134.3303 +Saint Marys,62.0531,-163.1658 +Manley Hot Springs,65.0187,-150.6453 +Sterling,60.5405,-150.8089 +Ketchikan,55.3556,-131.6698 +Chelatna Lodge,62.4344,-151.4044 +North Pole,64.753,-147.36 +Cape Yakataga,60.0664,-142.4308 +Tuluksak,61.105,-160.9493 +Fort Yukon,66.5807,-145.2415 +Alakanuk,62.6902,-164.6305 +Olnes,65.0742,-147.67 +Birch Creek,66.2686,-145.8698 +Livengood,65.4817,-148.4171 +Ambler,67.0897,-157.8725 +Nikolai,63.0095,-154.3763 +Koyukuk,64.9008,-157.6946 +Ninilchik,60.0745,-151.3843 +Teller,65.2531,-166.342 +Loring,55.6064,-131.6405 +Lake Louise,62.3131,-146.5625 +Quinhagak,59.7511,-161.8993 +Harding Lake,64.4213,-146.8155 +Tonsina,61.5617,-145.0656 +Katalla,60.1972,-144.5183 +Juneau,58.444,-134.1515 +Unga,55.1841,-160.505 +Port Alsworth,60.1688,-154.3233 +Alatna,66.5638,-152.8392 +Wiseman,67.4371,-150.1334 +Grayling,62.8998,-160.1078 +Napaskiak,60.7019,-161.7616 +Hydaburg,55.2062,-132.8208 +Montana,62.0797,-150.0728 +Gakona,62.3608,-145.2656 +Slana,62.6294,-143.567 +Seldovia Village,59.453,-151.5905 +Chernofski,53.4083,-167.55 +Ruby,64.7233,-155.5006 +Chevak,61.5296,-165.5941 +Red Dog Mine,68.0645,-162.8667 +Nushagak,58.9481,-158.4922 +Ellamar,60.8956,-146.6975 +Port Ashton,60.0575,-148.0522 +Womens Bay,57.6959,-152.6275 +Pedro Bay,59.7822,-154.1236 +Gost Creek,62.2106,-159.7858 +Crooked Creek,61.8439,-158.1082 +Chiniak,57.5775,-152.2743 +Pleasant Valley,64.8854,-146.8986 +Badger,64.8006,-147.3877 +Hobart Bay,57.4212,-133.3231 +Auke Bay,58.3833,-134.6597 +Anvik,62.6541,-160.214 +Cantwell,63.379,-148.8158 +Cohoe,60.2681,-151.2843 +Valdez,61.0963,-146.2596 +Sitka,57.2401,-135.3153 +Game Creek,58.0553,-135.5079 +False Pass,54.8415,-163.348 +Port O'Brien,57.7319,-153.3167 +Fox River,59.8722,-150.9984 +Chugiak,61.3889,-149.4819 +Port Protection,56.3293,-133.594 +Lignite,63.9094,-149.0183 +Sutton,61.7114,-148.8942 +Port Wakefield,58.0492,-153.0525 +Eek,60.2164,-162.0329 +Diomede,65.7536,-168.9219 +Northway Village,62.9821,-141.9294 +Emmonak,62.7762,-164.5157 +Tanana,65.1746,-152.0684 +Shishmaref,66.2372,-166.1027 +Minto,65.1033,-149.5565 +Chaniliut,63.0411,-163.3933 +Lake Minchumina,63.798,-152.3448 +Skagway,59.4566,-135.2928 +Healy Lake,64.0281,-144.633 +Kvichak,58.9694,-156.9306 +Ester,64.8646,-148.0917 +Haines,59.2417,-135.4549 +Chatanika,65.1122,-147.4772 +Sunshine,62.1678,-150.0731 +Yakutat,59.5665,-139.5966 +Aniak,61.5817,-159.5451 +Napakiak,60.692,-161.979 +Jakolof Bay,59.4469,-151.5103 +Uyak,57.6378,-153.9994 +Chalkyitsik,66.6468,-143.7822 +Galena,64.7381,-156.8635 +Suntrana,63.8542,-148.8483 +Utqiaġvik,71.2906,-156.7886 +Kenny Lake,61.6644,-144.8662 +Eagle Village,64.7434,-141.1138 +Port Moller,55.9886,-160.5769 +Chignik Lagoon,56.3041,-158.5004 +Seldovia,59.4396,-151.7111 +Chisana,62.0946,-142.0341 +Whale Pass,56.1172,-133.1603 +Cape Pole,55.965,-133.7933 +Chicken,64.0877,-141.8283 +Gateway,61.5738,-149.2389 +Delta,33.447,-85.6746 +Hendrix,34.0382,-86.4533 +Shelby,33.1068,-86.5825 +Natural Bridge,34.0904,-87.6014 +Ohatchee,33.7877,-86.0278 +Abernant,33.2904,-87.1981 +Suttle,32.5362,-87.1797 +Pinson,33.7062,-86.6655 +Snow Hill,32.0046,-87.0072 +Vincent,33.3849,-86.4087 +Minor,33.539,-86.9402 +Hoover,33.3763,-86.8058 +Columbia,31.2968,-85.1103 +Trussville,33.639,-86.5832 +Bessemer,33.3709,-86.9714 +Spanish Fort,30.7256,-87.8602 +Silas,31.7678,-88.3258 +Verbena,32.7499,-86.5114 +Tennant,33.2682,-85.4569 +Hokes Bluff,33.9902,-85.8639 +Union,32.9938,-87.9071 +Reeltown,32.5788,-85.8189 +Argo,33.6962,-86.5066 +Eoline,32.9951,-87.2322 +Batesville,32.009,-85.311 +Waterloo,34.9173,-88.0654 +Aliceville,33.1237,-88.1594 +Monroeville,31.5164,-87.328 +Triana,34.5904,-86.7418 +Goshen,31.7182,-86.1242 +Smoke Rise,33.8789,-86.824 +Hacoda,31.0749,-86.1663 +Brundidge,31.7182,-85.8177 +Wren,34.4343,-87.2936 +Magnolia Springs,30.4003,-87.7748 +Center Point,33.6447,-86.6851 +Snowdoun,32.2415,-86.2964 +Guin,33.9829,-87.9017 +Lakeview,34.3916,-85.9757 +Libertyville,31.2428,-86.46 +Cottondale,33.1922,-87.4544 +Pittsview,32.1882,-85.1633 +Kinsey,31.2926,-85.3353 +Hobson,31.4836,-88.1513 +Lanett,32.8576,-85.2079 +Piedmont,33.9267,-85.6157 +Valley Grande,32.4862,-87.0305 +Crossville,34.2853,-85.9996 +McIntosh,31.265,-88.0284 +Wilton,33.0813,-86.8799 +Highland Lake,33.8876,-86.4244 +Phenix City,32.4587,-85.0251 +Newbern,32.592,-87.5331 +Cullomburg,31.7131,-88.2917 +Brooksville,34.162,-86.4755 +Walnut Grove,34.0641,-86.2864 +Sheffield,34.7557,-87.7008 +Sumiton,33.7503,-87.0483 +Altoona,34.031,-86.3181 +Hamilton,34.1346,-87.9755 +Lamison,32.1213,-87.5667 +Silverhill,30.5455,-87.7505 +Sunny South,31.9649,-87.64 +Rock Creek,33.4772,-87.0812 +Vance,33.1746,-87.2313 +Gadsden,34.009,-86.0156 +Brilliant,34.0253,-87.7692 +Calera,33.1249,-86.745 +Pisgah,34.6844,-85.846 +Springville,33.7643,-86.4749 +Berry,33.6623,-87.6079 +Clay,33.698,-86.6067 +Opp,31.2848,-86.257 +Trafford,33.8195,-86.7467 +Wilmer,30.8232,-88.3614 +Webb,31.2573,-85.2898 +Camp Hill,32.8002,-85.6536 +Beatrice,31.7334,-87.209 +Fort Davis,32.2432,-85.7097 +Talladega,33.4329,-86.0976 +Grayson,34.2804,-87.3195 +Seale,32.2974,-85.1688 +Scottsboro,34.6438,-86.0491 +Russellville,34.5055,-87.7282 +Collbran,34.3759,-85.7786 +Fort Morgan,30.2285,-88.0231 +Reform,33.3788,-88.0173 +Providence,32.3424,-87.7761 +Louisville,31.781,-85.5583 +Selmont,32.3951,-87.0083 +Alberta,32.2321,-87.41 +Centreville,32.9597,-87.1334 +Alabaster,33.2197,-86.8225 +Childersburg,33.296,-86.3457 +Vernon,33.7589,-88.1144 +Wagarville,31.4363,-88.0283 +Needham,31.987,-88.3366 +Akron,32.8785,-87.7429 +Ranburne,33.5259,-85.339 +Memphis,33.1369,-88.3008 +Brighton,33.4393,-86.9454 +Land,32.0288,-88.3284 +Glencoe,33.9447,-85.9319 +Boligee,32.7699,-88.0264 +Kennedy,33.5809,-87.9861 +Eva,34.3274,-86.7614 +Tanner,34.7315,-86.9706 +West Jefferson,33.6521,-87.0569 +Loxley,30.6822,-87.7418 +Dauphin Island,30.2525,-88.1438 +Taylor,31.1657,-85.4697 +Hardaway,32.2865,-85.8488 +Opelika,32.6621,-85.3772 +Tillmans Corner,30.5818,-88.2128 +Hollis Crossroads,33.5231,-85.6437 +Frankville,31.6465,-88.1475 +Salitpa,31.6296,-88.02 +Fredonia,32.9861,-85.2912 +Steele,33.937,-86.2004 +Orion,31.9588,-86.0055 +Petersville,34.8554,-87.6917 +Movico,31.0628,-88.0266 +Gordo,33.322,-87.904 +Pike Road,32.2932,-86.0903 +Forkland,32.6489,-87.8671 +Calhoun,32.0501,-86.545 +Isbell,34.4554,-87.7539 +The Colony,33.9457,-86.9017 +Grayson Valley,33.647,-86.6414 +North Johns,33.368,-87.1009 +New Site,33.0282,-85.7801 +Shopton,32.1171,-85.9422 +North Bibb,33.204,-87.1531 +Clopton,31.6085,-85.4299 +Tuscaloosa,33.2349,-87.5267 +Moores Bridge,33.4487,-87.7936 +Notasulga,32.5569,-85.6695 +Bolling,31.7254,-86.7058 +Underwood,34.8712,-87.7009 +Pinckard,31.3173,-85.543 +Clayton,31.8822,-85.4604 +Sylacauga,33.1779,-86.2606 +Carrollton,33.2619,-88.0951 +Goodwater,33.0608,-86.0516 +Hatchechubbee,32.2707,-85.2758 +Glenville,32.1288,-85.1769 +Lowndesboro,32.2764,-86.6108 +Arkadelphia,33.9051,-86.9625 +Fort Mitchell,32.3415,-85.0216 +Spring Hill,31.691,-85.9605 +Fitzpatrick,32.2113,-85.8784 +Chapman,31.6713,-86.7122 +County Line,33.821,-86.7198 +Gulfcrest,30.9925,-88.2399 +Cowarts,31.204,-85.3062 +Plevna,34.9618,-86.4167 +Letohatchee,32.1296,-86.4858 +Millry,31.6256,-88.3191 +Holtville,32.6314,-86.3268 +Long Island,34.9737,-85.6711 +Headland,31.3502,-85.3523 +Elmore,32.5461,-86.3329 +Our Town,32.8304,-85.9687 +Munford,33.5287,-85.953 +Gilbertown,31.8758,-88.3195 +New Market,34.8892,-86.4226 +Owens Cross Roads,34.5845,-86.4574 +Hytop,34.9064,-86.0853 +Montgomery,32.347,-86.2663 +Fairhope,30.5221,-87.8817 +Dadeville,32.8326,-85.7675 +Ariton,31.5978,-85.7131 +Pine Hill,31.9858,-87.5875 +Rainbow City,33.9336,-86.0923 +Ragland,33.7469,-86.1384 +Cromwell,32.2288,-88.2745 +Trinity,34.6004,-87.0837 +Moundville,32.997,-87.6272 +Hartselle,34.4391,-86.94 +Ashby,33.021,-86.9194 +Borden Springs,33.9298,-85.4702 +Alexander City,32.9242,-85.9361 +Cypress,32.9479,-87.667 +Forney,34.0862,-85.4619 +Brooks,31.4818,-86.685 +Coosada,32.4979,-86.3282 +Sprague,32.1329,-86.27 +Dora,33.7292,-87.085 +Ivalee,34.0372,-86.1472 +Saint Stephens,31.5474,-88.0555 +Yarbo,31.5438,-88.2778 +Hartford,31.1055,-85.6916 +Avon,31.1806,-85.2795 +Wilsonville,33.2356,-86.4881 +Wetumpka,32.5407,-86.2057 +Leesburg,34.1838,-85.7753 +Rutledge,31.724,-86.302 +Portersville,34.3212,-85.8208 +Stapleton,30.7394,-87.7948 +Mobile,30.6783,-88.1162 +Clanton,32.8439,-86.623 +Napier Field,31.3149,-85.455 +Bear Creek,34.2651,-87.7164 +Muscle Shoals,34.7436,-87.6344 +Oxford,33.5967,-85.8691 +Edwardsville,33.8411,-85.4523 +Columbiana,33.1931,-86.6115 +Tunnel Springs,31.6427,-87.24 +Selma,32.4166,-87.0336 +Moores Mill,34.8491,-86.5222 +Shorterville,31.5702,-85.1013 +Baker Hill,31.7769,-85.2955 +Panola,32.9477,-88.2674 +Meadowbrook,33.3932,-86.7041 +Lomax,32.879,-86.6608 +Abanda,33.0926,-85.5253 +Arley,34.0886,-87.2074 +Tuscumbia,34.7204,-87.7035 +Deer Park,31.2198,-88.3226 +Lafayette,32.8997,-85.4007 +Ray,32.879,-86.035 +Gallant,34.0013,-86.2304 +Satsuma,30.8578,-88.0632 +Red Bay,34.4358,-88.1362 +Nances Creek,33.8588,-85.6733 +Odenville,33.6979,-86.4229 +Sand Rock,34.2302,-85.7715 +Rosa,33.9885,-86.5036 +Blountsville,34.0814,-86.5867 +Shorter,32.4076,-85.9412 +Creola,30.8902,-88.0101 +Flomaton,31.0127,-87.2541 +Grand Bay,30.4717,-88.345 +Knoxville,32.9923,-87.7906 +Elrod,33.2562,-87.7922 +Langston,34.5374,-86.0899 +Carolina,31.2337,-86.5227 +Evergreen,31.4379,-86.9584 +Good Hope,34.1098,-86.865 +Chancellor,31.1816,-85.8772 +Holt,33.2302,-87.4828 +Northport,33.258,-87.5979 +Broomtown,34.3657,-85.5322 +Marion,32.6318,-87.3172 +Ward,32.3621,-88.2781 +Gordonville,32.1489,-86.6995 +Addison,34.2018,-87.1765 +Brantleyville,33.2196,-86.882 +Pickensville,33.2336,-88.2743 +Bazemore,33.8945,-87.7 +Elberta,30.3847,-87.5886 +Jacksons Gap,32.8831,-85.815 +Haleyville,34.2349,-87.6165 +Bellefontaine,30.492,-88.1131 +Daleville,31.2915,-85.7115 +Pelham,33.3116,-86.7573 +West Blocton,33.1186,-87.1253 +Mulga,33.5533,-86.9735 +Summerdale,30.4785,-87.6906 +Clinton,32.9137,-87.9925 +Sulligent,33.8912,-88.1266 +Goldville,33.0842,-85.7832 +Vina,34.3757,-88.0602 +Madrid,31.0358,-85.3979 +Normal,34.789,-86.5719 +Eulaton,33.6457,-85.9125 +Collinsville,34.2669,-85.8653 +Loachapoka,32.6049,-85.5948 +Grady,31.9949,-86.2011 +White Plains,33.7603,-85.688 +Calvert,31.1543,-88.0106 +Chase,34.7834,-86.5467 +Epes,32.6912,-88.1269 +Gallion,32.4968,-87.7161 +Sanford,31.3006,-86.3975 +Rehobeth,31.1243,-85.4386 +Cooper,32.7751,-86.5455 +Prattville,32.4604,-86.4589 +Cherokee,34.7577,-87.967 +Homewood,33.4617,-86.8092 +Choctaw Bluff,31.3888,-87.7889 +Choccolocco,33.6683,-85.7129 +Hybart,31.8265,-87.3819 +Ashland,33.2704,-85.8337 +Ironaton,33.4268,-85.9711 +Black,31.0102,-85.7428 +Montevallo,33.1254,-86.848 +Winfield,33.9311,-87.797 +Hollywood,34.719,-85.965 +Wedowee,33.3077,-85.4864 +Centre,34.1553,-85.6707 +Chandler Springs,33.3307,-85.9983 +Fayette,33.6943,-87.8307 +Millerville,33.1926,-85.9303 +Wallsboro,32.5868,-86.2091 +Westover,33.37,-86.5356 +Talladega Springs,33.1191,-86.442 +Aberfoil,32.0704,-85.6877 +Gulf Shores,30.2727,-87.7073 +Lincoln,33.5935,-86.1372 +Fosters,33.0948,-87.6858 +Susan Moore,34.0798,-86.4235 +Rockville,31.4058,-87.8442 +Stevenson,34.8487,-85.8437 +Seaboard,31.3213,-88.1886 +Bleecker,32.5824,-85.1641 +Hayneville,32.1821,-86.5787 +Summit,34.2045,-86.4942 +Dutton,34.6062,-85.9119 +Newville,31.4206,-85.3367 +Enterprise,31.3276,-85.8459 +Belgreen,34.4767,-87.8653 +Coffeeville,31.7666,-88.0861 +Florala,31.0176,-86.3138 +Flat Rock,34.7698,-85.6944 +Brook Highland,33.4359,-86.6849 +Ansley,31.8863,-86.1158 +Whatley,31.6463,-87.7108 +Woodville,34.6256,-86.2792 +Saint Florian,34.8702,-87.624 +Concord,33.4674,-87.0392 +Lester,34.9877,-87.1515 +Thach,34.9198,-86.8928 +Onycha,31.2246,-86.2785 +Shiloh,34.4638,-85.878 +Peterson,33.2326,-87.4236 +Jacksonville,33.8088,-85.7544 +Cecil,32.3026,-86.0086 +Chatom,31.4691,-88.246 +Billingsley,32.6606,-86.7104 +Slocomb,31.1103,-85.5954 +Standing Rock,33.0863,-85.2449 +Baileyton,34.2609,-86.6082 +Jones Chapel,34.2104,-87.052 +Roanoke,33.1453,-85.3694 +Douglas,34.1705,-86.3224 +Robertsdale,30.5533,-87.706 +Fairford,31.178,-88.0728 +Gu-Win,33.9443,-87.8704 +Wadley,33.1239,-85.5683 +Overbrook,33.1218,-86.1983 +Vestavia Hills,33.4519,-86.7436 +Valley,32.8086,-85.1792 +Crawford,32.4568,-85.1897 +Safford,32.2879,-87.3714 +Lisman,32.1792,-88.3002 +Hurtsboro,32.2401,-85.4147 +Linwood,31.9268,-85.8641 +Stroud,33.0548,-85.3308 +Hodges,34.334,-87.9299 +Arab,34.3308,-86.499 +Highland Home,31.9535,-86.3139 +Putnam,32.0181,-88.0331 +Dothan,31.2336,-85.4068 +Decatur,34.573,-86.9905 +Jones,32.584,-86.8975 +Deatsville,32.5865,-86.3916 +Sycamore,33.2512,-86.2025 +Benton,32.3078,-86.818 +Heath,31.3579,-86.4673 +Newtonville,33.5454,-87.8014 +Pollard,31.0235,-87.1736 +Bangor,33.9745,-86.7567 +Jenifer,33.5493,-85.9364 +Pleasant Grove,33.4936,-86.9782 +Comer,32.0329,-85.3833 +Pine Apple,31.8721,-86.9891 +Bay Minette,30.893,-87.7913 +Egypt,34.0759,-86.1651 +Ballplay,34.0179,-85.7853 +Perote,31.9477,-85.7052 +Orrville,32.3068,-87.2454 +Heron Bay,30.3546,-88.1303 +Weston,34.1598,-88.032 +Mount Andrew,31.9713,-85.5247 +Glenwood,31.6675,-86.173 +Cottonwood,31.0549,-85.301 +Carbon Hill,33.8944,-87.5224 +Honoraville,31.8507,-86.4061 +Maylene,33.2034,-86.8617 +Duncanville,33.0618,-87.4422 +Saraland,30.8453,-88.0988 +Clayhatchee,31.2435,-85.7136 +Fruithurst,33.7297,-85.4312 +Village Springs,33.7584,-86.6386 +Millers Ferry,32.0996,-87.3675 +Red Hill,32.6851,-85.943 +Myrtlewood,32.2521,-87.9492 +South Vinemont,34.2348,-86.8642 +Repton,31.4097,-87.2393 +Faunsdale,32.4576,-87.5938 +Eldridge,33.922,-87.6201 +Kent,32.619,-85.9486 +Samson,31.1124,-86.0462 +Maytown,33.5489,-86.9999 +Powell,34.5325,-85.8979 +Flatwood,32.1493,-87.5231 +Pennington,32.1993,-88.0494 +Brookwood,33.2398,-87.3277 +Theodore,30.5408,-88.1885 +Kansas,33.9029,-87.5569 +Weogufka,33.0267,-86.3169 +York,32.4998,-88.2938 +Leeds,33.5429,-86.5636 +Coffee Springs,31.1664,-85.9103 +Spring Garden,33.973,-85.5558 +Saginaw,33.2162,-86.7919 +Lillian,30.4122,-87.432 +Uriah,31.3074,-87.4992 +Lexington,34.9652,-87.3735 +Macedonia,33.4031,-88.2393 +Chickasaw,30.7715,-88.0794 +Tarrant,33.5941,-86.7684 +Dixie,31.1446,-86.7194 +Oak Grove,33.1929,-86.3037 +Midway,32.0764,-85.5244 +Lockhart,31.0128,-86.3505 +Dodge City,34.0452,-86.8837 +Bluff Park,33.4015,-86.8561 +Marion Junction,32.4374,-87.2389 +Mosses,32.1802,-86.6888 +Hackleburg,34.2693,-87.8303 +Landersville,34.469,-87.4009 +Union Grove,34.4025,-86.4483 +Camden,32.0007,-87.2967 +Blue Ridge,32.5009,-86.1839 +Anniston,33.6713,-85.8136 +Brent,32.9421,-87.1753 +Rockford,32.8896,-86.215 +Jackson,31.5318,-87.8915 +Grant,34.519,-86.2492 +Dozier,31.5031,-86.3694 +Toxey,31.9107,-88.3092 +Cullman,34.1791,-86.8402 +Semmes,30.7883,-88.2343 +Anderson,34.9147,-87.2716 +Morrison Crossroad,33.4265,-85.4933 +Seminole,30.5152,-87.4739 +Wattsville,33.6815,-86.2797 +Butler,32.0951,-88.214 +Auburn,32.6084,-85.4897 +Birmingham,33.5276,-86.7988 +Dixons Mills,32.0582,-87.7875 +Burnt Corn,31.5535,-87.1603 +Linden,32.3001,-87.7926 +Cloverdale,34.9387,-87.7714 +Texasville,31.7152,-85.4244 +Grove Hill,31.7033,-87.7759 +Millbrook,32.5033,-86.3729 +Helena,33.2855,-86.8748 +Frisco City,31.4353,-87.4037 +Petrey,31.8495,-86.2057 +Lake View,33.2802,-87.1257 +Joppa,34.2982,-86.5506 +Berlin,34.1815,-86.7422 +Daviston,33.0557,-85.6371 +Chunchula,30.9237,-88.2072 +Pell City,33.5609,-86.2669 +Crosby,31.0388,-85.0863 +Gurley,34.7074,-86.3768 +Eutaw,32.8436,-87.8987 +Whitesboro,34.1682,-86.0572 +Maplesville,32.7867,-86.8783 +Waverly,32.7333,-85.5761 +Bridgeport,34.9495,-85.7243 +Locust Fork,33.8957,-86.6302 +Cragford,33.2509,-85.6725 +Cochrane,33.0654,-88.2511 +Fackler,34.7926,-85.91 +Midfield,33.4552,-86.9226 +Tuskegee,32.4396,-85.7139 +Fulton,31.7916,-87.7397 +Mountain Creek,32.7107,-86.4789 +Point Clear,30.4902,-87.9105 +Castleberry,31.3001,-87.027 +Ladonia,32.4609,-85.0877 +Sylvan Springs,33.5287,-87.0312 +Priceville,34.5254,-86.886 +Lehigh,33.8543,-86.6839 +Bayou La Batre,30.4126,-88.261 +Graham,33.4552,-85.323 +Coker,33.2448,-87.6801 +Carlisle,34.129,-86.1203 +Sardis City,34.1749,-86.1125 +Pine Level,32.5797,-86.4529 +Eunola,31.0326,-85.8409 +Chastang,31.0377,-88.0233 +Fort Payne,34.4557,-85.6965 +Level Plains,31.307,-85.7688 +Oakman,33.7141,-87.389 +Oneonta,33.9392,-86.4929 +Stewartville,33.0725,-86.2658 +Lim Rock,34.6723,-86.1883 +Indian Springs Village,33.3591,-86.7493 +Bon Secour,30.3222,-87.7271 +Riverside,33.6171,-86.2042 +Elkmont,34.9291,-86.9767 +Ramer,32.0504,-86.2214 +Peachburg,32.1638,-85.6241 +Inverness,33.4071,-86.7111 +Curry,33.4865,-86.0172 +Emelle,32.7287,-88.3164 +McWilliams,31.831,-87.0939 +Fort Deposit,31.9863,-86.5664 +Brooklyn,31.2627,-86.7711 +Heflin,33.6471,-85.5698 +Dolomite,33.4629,-86.9614 +Nauvoo,33.9873,-87.4876 +Haleburg,31.4099,-85.1381 +Lineville,33.3123,-85.7508 +Forestdale,33.5737,-86.9002 +Demopolis,32.498,-87.8298 +New Hope,34.537,-86.4128 +East Brewton,31.0906,-87.0556 +Wellington,33.8226,-85.8927 +Livingston,32.5982,-88.1891 +Caffee Junction,33.2454,-87.1378 +Fayetteville,33.1643,-86.4411 +Gorgas,33.6493,-87.2081 +Boykin,32.0701,-87.2914 +West Selmont,32.3912,-87.0172 +Atmore,31.0926,-87.4763 +Kimberly,33.7758,-86.797 +Luverne,31.7186,-86.2687 +Guntersville,34.3674,-86.2634 +Milstead,32.4426,-85.8975 +Salem,32.5968,-85.2386 +Booth,32.5004,-86.5719 +Cleveland,33.9965,-86.5671 +Campbell,31.9235,-87.9811 +Moulton Heights,34.5973,-87.0145 +Moody,33.5986,-86.4963 +Somerville,34.4687,-86.7956 +Attalla,34.0049,-86.104 +Graysville,33.6583,-86.9674 +Harpersville,33.3184,-86.4286 +Elba,31.4172,-86.0759 +Kinston,31.22,-86.1705 +Orange Beach,30.2941,-87.5851 +Athens,34.7847,-86.951 +Lipscomb,33.4261,-86.926 +Ashford,31.1859,-85.2363 +Burnsville,32.4746,-86.8917 +Horn Hill,31.2382,-86.3211 +Cordova,33.7613,-87.1925 +Paint Rock,34.6602,-86.3307 +Saks,33.7119,-85.8535 +Edgewater,33.5286,-86.9574 +Foley,30.3987,-87.6646 +Snead,34.1163,-86.3897 +Oak Hill,31.9216,-87.0852 +Huntsville,34.6989,-86.6414 +Hunter,32.3957,-86.3955 +Citronelle,31.0952,-88.2467 +Tensaw,31.1568,-87.7992 +Brantley,31.5822,-86.2569 +Kellyton,32.979,-86.0358 +Fairview,34.2477,-86.6843 +Garden City,34.0152,-86.752 +Uniontown,32.449,-87.4958 +Beaverton,33.9354,-88.0218 +Smiths Station,32.5284,-85.096 +Holly Pond,34.1696,-86.6125 +Brewton,31.1111,-87.0737 +Red Level,31.4055,-86.6084 +Yellow Bluff,31.9622,-87.4808 +Leroy,31.4952,-87.969 +Geraldine,34.3577,-86.0037 +Rogersville,34.8251,-87.2821 +Malone,33.1987,-85.5841 +Morris,33.7467,-86.8039 +Courtland,34.6703,-87.3262 +Hobson City,33.6149,-85.856 +Banks,31.8132,-85.8364 +Prichard,30.7735,-88.1301 +Mitchell,32.2463,-85.9377 +Hanceville,34.0634,-86.7651 +Blue Springs,31.6635,-85.5035 +Grimes,31.2999,-85.4502 +Gasque,30.2533,-87.8197 +New Brockton,31.3784,-85.9228 +Geneva,31.0437,-85.8764 +Miller,32.1565,-87.7856 +Sawyerville,32.7518,-87.7295 +Carlton,31.343,-87.8377 +Forest Home,31.8624,-86.8428 +Mount Olive,33.6778,-86.8726 +Kimbrough,32.0335,-87.5653 +Axis,30.9296,-88.0179 +Randolph,32.8996,-86.9108 +Vandiver,33.4601,-86.5251 +Ider,34.7022,-85.6691 +Gordon,31.1439,-85.0932 +Jemison,32.9696,-86.7339 +Tibbie,31.3628,-88.2471 +Sweet Water,32.1049,-87.8612 +Bucks,31.0169,-88.025 +Woodland,33.3756,-85.3975 +Bremen,33.9945,-86.97 +Georgiana,31.6391,-86.7468 +Stanton,32.7357,-86.8997 +Hayden,33.882,-86.7839 +Tyler,32.3393,-86.8797 +Megargel,31.3781,-87.4307 +Glen Allen,33.8923,-87.7329 +Minter,32.0779,-86.9936 +Town Creek,34.6718,-87.4063 +Flint City,34.5231,-86.9703 +Wilsonia,34.0998,-85.9041 +Rockledge,34.0893,-86.1128 +Samantha,33.4223,-87.6053 +Ridgeville,34.0569,-86.1029 +Margaret,33.6735,-86.468 +Fruitdale,31.3429,-88.4108 +Andalusia,31.3101,-86.4781 +Harvest,34.8558,-86.7521 +Little River,34.2815,-85.6733 +Tallassee,32.5314,-85.8912 +Lawley,32.8596,-86.9514 +Mountain Brook,33.4871,-86.74 +Spruce Pine,34.3928,-87.7294 +White Hall,32.2993,-86.7148 +Sardis,32.2876,-86.9858 +Skyline,34.7986,-86.1229 +Hatton,34.561,-87.4136 +Chrysler,31.3052,-87.7011 +Greensboro,32.7014,-87.595 +Daphne,30.6291,-87.8872 +Alexandria,33.7675,-85.8792 +Brookside,33.638,-86.9014 +Pleasant Site,34.542,-88.0653 +Echo,31.4757,-85.4658 +Bradley,31.0335,-86.7255 +Sylvania,34.5619,-85.8045 +Troy,31.8021,-85.9665 +Jasper,33.8514,-87.2719 +Manack,32.3285,-86.5111 +Marbury,32.6793,-86.4607 +Newton,31.3423,-85.5893 +Eufaula,31.9102,-85.1505 +Gaylesville,34.2681,-85.5585 +Lynn,34.0548,-87.5555 +Section,34.5816,-85.9849 +Sipsey,33.8225,-87.0834 +Excel,31.4264,-87.3433 +Leighton,34.6986,-87.5291 +Pyriton,33.3632,-85.8339 +Riverview,31.0586,-87.0708 +East Point,34.1856,-86.7926 +North Courtland,34.6788,-87.3083 +Warrior,33.8153,-86.8153 +Double Springs,34.1496,-87.4028 +Cuba,32.441,-88.3755 +Huguley,32.8431,-85.2397 +Pletcher,32.7029,-86.785 +Killen,34.8607,-87.5269 +Midland City,31.3157,-85.4937 +Valley Head,34.5575,-85.6214 +Ashville,33.8331,-86.2698 +McMullen,33.1481,-88.1757 +Nectar,33.9686,-86.6346 +Rosalie,34.6998,-85.7686 +Vinegar Bend,31.2594,-88.3712 +Yellow Pine,31.4057,-88.4297 +Mooresville,34.627,-86.88 +Barton,34.7387,-87.8911 +Adamsville,33.6063,-86.9745 +Mentone,34.5663,-85.5842 +Range,31.3127,-87.2355 +Gardendale,33.6676,-86.807 +Gantt,31.4092,-86.4842 +Albertville,34.2631,-86.2106 +West Point,34.2401,-86.9626 +Madison,34.7113,-86.7617 +Hackneyville,33.0567,-85.9312 +Catherine,32.1861,-87.4699 +Meridianville,34.8729,-86.5722 +Reece City,34.0771,-86.0346 +Blanche,34.3634,-85.61 +Cusseta,32.7877,-85.3057 +Babbie,31.3022,-86.3229 +Clio,31.7085,-85.6109 +Bexar,34.1909,-88.1473 +Short Creek,33.5512,-87.1014 +Greenville,31.8437,-86.6379 +Woodstock,33.2194,-87.1489 +Fairfield,33.4747,-86.9194 +Eclectic,32.639,-86.0383 +Shady Grove,31.9096,-86.1625 +Thomasville,31.9111,-87.7418 +Lilita,32.4837,-88.1284 +Dayton,32.3509,-87.6416 +Falkville,34.3794,-86.9086 +Five Points,33.0173,-85.3516 +Hissop,32.8746,-86.1159 +Vredenburgh,31.8237,-87.3178 +Parrish,33.7323,-87.2802 +Ozark,31.4509,-85.6473 +Bon Air,33.2621,-86.3318 +Abbeville,31.5664,-85.2527 +Waldo,33.3892,-86.036 +Hueytown,33.4237,-87.0221 +Rock Mills,33.1563,-85.2861 +Gainesville,32.8149,-88.1608 +Southside,33.9007,-86.0237 +Detroit,34.0274,-88.1678 +DeArmanville,33.6265,-85.7514 +Franklin,32.4551,-85.8066 +Irondale,33.544,-86.6599 +Chelsea,33.3256,-86.6303 +Morgan City,34.472,-86.5697 +Marvel,33.1468,-87.003 +Belk,33.6516,-87.9286 +Bellamy,32.4582,-88.1277 +Perdido,31.0034,-87.6323 +Stockton,30.9946,-87.86 +Ardmore,34.9847,-86.8373 +Boaz,34.1985,-86.1529 +Rainsville,34.4939,-85.8435 +Twin,33.9978,-87.8497 +Mignon,33.1948,-86.2651 +Claiborne,31.5402,-87.5155 +Valley Creek,33.3876,-87.0722 +Florence,34.83,-87.6658 +Union Springs,32.1395,-85.7141 +Pine Ridge,34.449,-85.7808 +Henagar,34.631,-85.7405 +Winterboro,33.3215,-86.1969 +Nanafalia,32.1114,-87.9957 +Thomaston,32.2683,-87.6237 +Perdido Beach,30.3553,-87.5036 +McKenzie,31.5429,-86.7246 +Sterrett,33.449,-86.4645 +Moulton,34.4844,-87.2832 +Hillsboro,34.6408,-87.1837 +Millport,33.5586,-88.0817 +Coaling,33.1642,-87.3534 +Penton,33.009,-85.4722 +Garland,31.5566,-86.8233 +Hazel Green,34.9237,-86.5671 +Hazen,32.3401,-87.2039 +Hollins,33.1213,-86.129 +Autaugaville,32.4321,-86.6582 +River Falls,31.3524,-86.5412 +Hammondville,34.5685,-85.6397 +Malvern,31.1428,-85.521 +Littleville,34.5951,-87.6719 +Ethelsville,33.4141,-88.2161 +Mount Vernon,31.0888,-88.0137 +Thorsby,32.917,-86.7203 +Pleasant Gap,33.9876,-85.52 +Peterman,31.5837,-87.2631 +Plantersville,32.6568,-86.9244 +Cedar Bluff,34.2215,-85.5887 +Society Hill,32.4265,-85.4452 +Fyffe,34.4496,-85.905 +Weaver,33.7602,-85.8118 +Sims Chapel,31.2365,-88.1435 +Phil Campbell,34.3519,-87.7062 +Melvin,31.9304,-88.4589 +Fultondale,33.6177,-86.8015 +Heiberger,32.7582,-87.2867 +Malcolm,31.1946,-88.0015 +McDonald Chapel,33.5189,-86.9384 +Allgood,33.9064,-86.5178 +Geiger,32.8695,-88.3132 +Cardiff,33.6472,-86.9307 +Keener,34.1562,-85.9511 +Huxford,31.2202,-87.4619 +Sprott,32.6768,-87.2214 +Violet Hill,36.1537,-91.8415 +Black Oak,35.8365,-90.3677 +Van,34.3268,-91.2343 +Perla,34.3647,-92.7763 +Brickeys,34.8607,-90.5923 +Arkansas City,33.609,-91.2048 +Datto,36.3925,-90.7285 +Springdale,36.1898,-94.1573 +Stamps,33.3566,-93.4957 +Red Star,35.8667,-93.5307 +Evansville,35.7954,-94.4969 +Boles,34.7795,-94.0491 +Snow Lake,34.0609,-91.0232 +Wabash,34.3887,-90.8287 +Powhatan,36.0841,-91.1202 +Prairie Grove,35.9859,-94.3048 +Harriet,35.9934,-92.5204 +Jacksonport,35.6422,-91.308 +Ouachita,33.8523,-92.8293 +Marmaduke,36.1901,-90.386 +Turrell,35.3763,-90.2704 +Lake City,35.8202,-90.4547 +Snowball,35.9065,-92.8218 +Hickory Plains,34.9901,-91.7368 +Alpena,36.29,-93.3037 +El Paso,35.1262,-92.0954 +Avilla,34.6988,-92.5813 +Center Ridge,35.3806,-92.5702 +Otwell,35.7259,-90.8379 +Shirley,35.6442,-92.3137 +Atlanta,33.1187,-93.0527 +Batesville,35.7687,-91.6226 +Iron Springs,34.5895,-92.3257 +Waterloo,33.5432,-93.246 +Bauxite,34.5602,-92.4991 +Scranton,35.3606,-93.5394 +Star City,33.9406,-91.84 +Agnos,36.2773,-91.6915 +Wolf Bayou,35.6548,-91.9107 +Clarksville,35.4569,-93.4803 +Elaine,34.3089,-90.853 +Pea Ridge,36.449,-94.1212 +Okolona,34.0005,-93.3375 +Biggers,36.3319,-90.8052 +Jersey,33.4284,-92.3143 +Goshen,36.1042,-94.0038 +Pettigrew,35.8179,-93.6485 +McNeil,33.3479,-93.2083 +Widener,35.022,-90.6814 +Hopper,34.3587,-93.6888 +Manning,34.0212,-92.7929 +Lakeview,36.3739,-92.5387 +Lurton,35.7715,-93.0777 +Prairie Creek,36.34,-94.0613 +Pineville,36.1612,-92.1065 +Rose Bud,35.3249,-92.0813 +Colt,35.1329,-90.8129 +Amagon,35.5632,-91.1094 +Piggott,36.3858,-90.2016 +Winchester,33.7741,-91.4737 +Willow,34.1337,-92.7463 +Wilton,33.7388,-94.148 +Brinkley,34.8898,-91.1899 +New Blaine,35.2929,-93.4203 +Fort Douglas,35.6842,-93.2418 +Crystal Springs,34.522,-93.336 +Lexa,34.5982,-90.7519 +Timbo,35.8709,-92.3171 +Newhope,34.2304,-93.8802 +Shannon Hills,34.6157,-92.4217 +Collins,33.5315,-91.5654 +Centerton,36.3565,-94.2963 +Dutch Mills,35.8756,-94.4916 +Fiftysix,35.9576,-92.2185 +Lamar,35.4436,-93.3951 +Cushman,35.8658,-91.7781 +Kibler,35.4266,-94.2369 +Smackover,33.3636,-92.7314 +Delight,34.0299,-93.5057 +Tumbling Shoals,35.5479,-91.9688 +Imboden,36.2021,-91.1823 +Reed,33.702,-91.4461 +Oppelo,35.1003,-92.7733 +Summers,35.9812,-94.4916 +Marche,34.8634,-92.3624 +Clarkedale,35.297,-90.2103 +Brookland,35.8987,-90.5764 +Waldron,34.9006,-94.0943 +McDougal,36.4365,-90.3908 +Detonti,34.4973,-92.5088 +Ravenden,36.2417,-91.2511 +Stuttgart,34.4962,-91.5485 +Willisville,33.5194,-93.2949 +Halley,33.5357,-91.3248 +Wrightsville,34.6109,-92.2136 +Little Flock,36.3855,-94.1361 +Calion,33.3285,-92.5402 +Kiblah,33.0515,-93.896 +Gibson,34.8923,-92.2341 +Piney,34.5024,-93.1419 +Lonoke,34.7908,-91.9069 +Peel,36.4323,-92.7688 +Buckner,33.3572,-93.4357 +Almond,35.6959,-91.7985 +Lafe,36.2092,-90.5043 +Black Fork,34.767,-94.4311 +Hardy,36.3188,-91.4791 +West Memphis,35.1536,-90.1991 +Wheatley,34.9211,-91.1063 +Kedron,34.0445,-92.1404 +Osceola,35.6941,-89.9934 +Blue Eye,36.4966,-93.3977 +Harvey,34.8459,-93.7852 +Thornton,33.7756,-92.4889 +Mount Pleasant,35.9819,-91.7771 +McKamie,33.2685,-93.4991 +Richmond,33.6376,-94.2074 +Subiaco,35.2981,-93.6389 +McNab,33.6609,-93.8323 +Kelso,33.7976,-91.2707 +Oakhaven,33.7293,-93.6205 +Manila,35.8845,-90.1646 +Reader,33.7518,-93.1009 +Washburn,35.1684,-94.0935 +Norfork,36.2097,-92.2802 +Cord,35.812,-91.3435 +Social Hill,34.332,-92.9132 +Buena Vista,33.4873,-92.9552 +Mount Holly,33.3026,-92.9549 +Mountain View,35.8635,-92.1041 +Deckerville,35.4451,-90.3051 +Whelen Springs,33.8331,-93.1259 +Ozark,35.5001,-93.8436 +Corning,36.4109,-90.5859 +Gentry,36.2571,-94.4906 +Junction City,33.022,-92.7236 +Avoca,36.398,-94.071 +Gillett,34.1193,-91.3789 +Brighton,36.0676,-90.3562 +Morriston,36.2659,-91.7804 +Sweet Home,34.6707,-92.2465 +Glencoe,36.2942,-91.7474 +Rule,36.2778,-93.4599 +Chidester,33.702,-93.0238 +Fairfield Bay,35.605,-92.2659 +Gould,33.9872,-91.564 +Dyer,35.4943,-94.1385 +Halliday,36.1215,-90.4343 +Guy,35.3272,-92.3367 +Genoa,33.3837,-93.9096 +Vimy Ridge,34.6012,-92.4135 +Blackwell,35.2223,-92.8413 +Prairie View,35.3345,-93.518 +Prim,35.694,-92.1085 +Greenfield,35.6323,-90.7126 +Pottsville,35.2314,-93.0638 +Butterfield,34.4273,-92.8138 +Vilonia,35.0807,-92.2088 +Sage,36.0459,-91.8163 +Paron,34.7729,-92.7585 +Beebe,35.0714,-91.8999 +Clow,33.8898,-93.7727 +Calico Rock,36.1399,-92.1337 +Leachville,35.9226,-90.2541 +Bald Knob,35.3122,-91.5706 +Centerville,35.1129,-93.1688 +Maynard,36.4217,-90.9027 +West Crossett,33.1488,-92.0221 +Hensley,34.5068,-92.2069 +Mandeville,33.4818,-93.9641 +Greers Ferry,35.5672,-92.1689 +Cato,34.9284,-92.2613 +Oden,34.6215,-93.7863 +Poplar Grove,34.5479,-90.8532 +College Heights,33.5904,-91.8007 +Lepanto,35.6079,-90.3334 +Chismville,35.2173,-93.9405 +Holland,35.166,-92.277 +Sulphur Springs,36.4837,-94.4591 +Montrose,33.2989,-91.4965 +Onyx,34.8515,-93.408 +Dell,35.8592,-90.026 +Hartford,35.0236,-94.3799 +Falcon,33.4646,-93.4135 +Arkadelphia,34.125,-93.0719 +Hanover,35.8034,-92.1238 +Cave City,35.9482,-91.547 +Nathan,34.1062,-93.8138 +Magness,35.703,-91.4821 +Compton,36.0967,-93.3027 +Magnet Cove,34.4492,-92.8379 +Bellefonte,36.2,-93.0474 +Tollette,33.8182,-93.8968 +Lawson,33.1968,-92.4829 +Higden,35.5666,-92.2047 +Griffithville,35.1249,-91.6457 +Daisy,34.2349,-93.7406 +Weiner,35.6197,-90.9054 +Tinsman,33.6292,-92.3533 +Salado,35.6912,-91.5957 +Briggsville,34.934,-93.4944 +Deer,35.8267,-93.2093 +Haskell,34.5095,-92.6406 +Saint James,35.8384,-91.9179 +Judsonia,35.277,-91.6411 +Ben Hur,35.7304,-92.973 +Bella Vista,36.4667,-94.2707 +Monroe,34.7348,-91.1046 +Bassett,35.5356,-90.1294 +Wilmot,33.0588,-91.5749 +Traskwood,34.4534,-92.6642 +East End,34.5554,-92.3261 +Bexar,36.2867,-91.9957 +Grapevine,34.1457,-92.3154 +Van Buren,35.448,-94.3529 +Gassville,36.285,-92.4868 +Martinville,35.3251,-92.4824 +Newark,35.7083,-91.4432 +Olvey,36.1909,-92.966 +Diaz,35.6478,-91.2617 +Canfield,33.1829,-93.6327 +Bluffton,34.9054,-93.6007 +Hatfield,34.4859,-94.3793 +Abbott,35.0734,-94.1938 +Fitzhugh,35.3581,-91.3229 +Harrisburg,35.5633,-90.7214 +Kirby,34.2556,-93.6522 +Leola,34.1701,-92.5914 +Monticello,33.6258,-91.7934 +Cove,34.4366,-94.4161 +Ingalls,33.3834,-92.151 +Wesley,36.0273,-93.9202 +West Fork,35.9361,-94.1798 +Jennie,33.2562,-91.2862 +Plumerville,35.16,-92.6424 +Hamburg,33.2248,-91.7972 +Jonesboro,35.8212,-90.6795 +Enola,35.1958,-92.2068 +Birta,35.0173,-93.1335 +Humnoke,34.5422,-91.7596 +Sims,34.6593,-93.691 +Rondo,34.6575,-90.8208 +Horseshoe Bend,36.2217,-91.7396 +Rogers,36.3173,-94.1514 +Booneville,35.1392,-93.9179 +Augusta,35.2856,-91.3617 +Ozone,35.6412,-93.4432 +Waveland,35.1237,-93.6282 +White,33.014,-91.9957 +Allport,34.5393,-91.7843 +Stephens,33.4221,-93.067 +Heber Springs,35.5003,-92.0332 +Williford,36.2518,-91.3603 +Potter,34.5537,-94.3391 +Armorel,35.9201,-89.7981 +Wilmar,33.6264,-91.9293 +Dennard,35.7498,-92.5394 +North Little Rock,34.7814,-92.2378 +Busch,36.4642,-93.8308 +Blytheville,35.9323,-89.9052 +Nashville,33.9415,-93.8516 +Pyatt,36.2509,-92.8443 +Moro Bay,33.3065,-92.3504 +Louann,33.3915,-92.7923 +Peach Orchard,36.2812,-90.6608 +Aplin,34.974,-92.9788 +Evening Shade,36.0704,-91.622 +Sheppard,33.6265,-93.7221 +Antoine,34.0343,-93.4226 +McRae,35.1119,-91.8253 +Jefferson,34.3807,-92.164 +Harmony,35.5481,-93.5557 +Rhea,36.0142,-94.403 +Jamestown,35.6967,-91.7046 +Vandervoort,34.38,-94.3642 +Eagle Mills,33.6826,-92.7046 +Keo,34.6088,-92.0104 +Oma,34.3962,-93.2646 +Goodwin,34.9381,-91.021 +Weldon,35.4479,-91.2312 +Aubrey,34.7193,-90.8976 +Weathers,35.9595,-93.5205 +Spring Hill,33.5876,-93.6485 +Pindall,36.0637,-92.8622 +Knobel,36.3201,-90.6022 +Flag,35.8192,-92.3943 +Mount Judea,35.9215,-93.0602 +Hot Springs,34.4902,-93.0498 +Camden,33.5671,-92.8466 +Ward,35.013,-91.9571 +Alpine,34.229,-93.3791 +Nimmons,36.3062,-90.0951 +Rector,36.2642,-90.2936 +Siloam Springs,36.1837,-94.5318 +Center Hill,35.2626,-91.884 +Elm Springs,36.2069,-94.2366 +Meyers,34.4593,-93.3541 +Olyphant,35.5245,-91.3824 +Holiday Island,36.4762,-93.7342 +Fair Oaks,35.2434,-91.0312 +Clinton,35.58,-92.4543 +Keiser,35.674,-90.0958 +Maumelle,34.8522,-92.4 +Grider,35.6387,-89.9806 +Woodberry,33.5823,-92.516 +Poyen,34.3243,-92.642 +Waldenburg,35.5653,-90.9346 +Grady,34.079,-91.6981 +Ben Lomond,33.8335,-94.1177 +Dardanelle,35.2263,-93.165 +Huntington,35.0813,-94.2665 +Tyronza,35.4868,-90.3559 +Diamond City,36.4575,-92.9129 +Rover,34.9465,-93.4055 +Newburg,36.1156,-91.9499 +Belfast,34.4145,-92.459 +Springfield,35.2676,-92.5577 +Yale,35.6712,-93.6507 +Bunn,34.0015,-92.4954 +Postelle,34.5701,-91.0229 +Glendale,33.9629,-91.9593 +Y City,34.7348,-94.0772 +Bethesda,35.7915,-91.7885 +Gilbert,35.9905,-92.7166 +Portia,36.0849,-91.0711 +Pollard,36.4295,-90.2672 +Dalark,34.0373,-92.886 +Lono,34.2082,-92.7102 +Helena-West Helena,34.5313,-90.62 +Selma,33.6973,-91.5676 +Jennette,35.164,-90.4092 +De Ann,33.7782,-93.5627 +Parkdale,33.1212,-91.5464 +Board Camp,34.5379,-94.0955 +Everton,36.1541,-92.9095 +Rudy,35.5285,-94.2411 +Emmet,33.7227,-93.4657 +Alexander,34.6185,-92.4513 +Gravelly,34.8832,-93.6874 +Lincoln,35.949,-94.4174 +Knoxville,35.378,-93.363 +Eureka Springs,36.4105,-93.745 +Success,36.4545,-90.7226 +Bethel Heights,36.2262,-94.1282 +Searcy,35.2418,-91.7351 +Sunset,35.224,-90.2062 +Cotton Plant,35.006,-91.252 +Charleston,35.2954,-94.0463 +Humphrey,34.4224,-91.7025 +Bayou Meto,34.2237,-91.5212 +O'Kean,36.1714,-90.8183 +Concord,35.6625,-91.849 +Gifford,34.3756,-92.7443 +El Dorado,33.2184,-92.664 +Desha,35.7362,-91.6799 +Zinc,36.2836,-92.9147 +Cecil,35.4387,-93.9446 +Bradford,35.422,-91.4552 +Tamo,34.1104,-91.7593 +Perrytown,33.6973,-93.5341 +Rohwer,33.7609,-91.2757 +Redfield,34.4431,-92.1841 +Tull,34.441,-92.5779 +Felton,34.8043,-90.7962 +Tokio,34.0034,-93.751 +Paraloma,33.7979,-94.0191 +Tichnor,34.1404,-91.2707 +Danville,35.053,-93.3902 +Cale,33.6278,-93.235 +Berryville,36.3713,-93.5704 +Doddridge,33.0918,-93.9082 +Bodcaw,33.5607,-93.4013 +Parkin,35.2629,-90.5528 +Patterson,35.2591,-91.2352 +Rockwell,34.4641,-93.1341 +Moreland,35.3676,-92.9985 +Alicia,35.8944,-91.0832 +Myron,36.1837,-91.7057 +Sylvan Hills,34.8365,-92.2313 +Langley,34.3129,-93.8419 +Oak Grove Heights,36.1271,-90.5085 +Horseshoe Lake,34.9135,-90.3079 +Leslie,35.8295,-92.5562 +Hindsville,36.1458,-93.8627 +Decatur,36.3402,-94.4578 +Cherokee Village,36.2959,-91.5696 +Lynn,36.0042,-91.252 +Sheridan,34.2995,-92.4226 +Fordyce,33.8181,-92.4174 +Huttig,33.0418,-92.1818 +Little Rock,34.7255,-92.3581 +Ogden,33.5859,-94.0469 +Benton,34.577,-92.5716 +Highfill,36.2766,-94.3236 +Strawberry,35.9666,-91.321 +Bono,35.9115,-90.801 +Prescott,33.8056,-93.3909 +Zion,36.0803,-91.7699 +Gregory,35.1554,-91.3432 +McGehee,33.6279,-91.3952 +Rock Springs,35.9448,-92.5354 +Schaal,33.8262,-93.961 +Jerusalem,35.4048,-92.8168 +Rivervale,35.674,-90.3401 +Monette,35.8932,-90.3441 +Egypt,35.8676,-90.9457 +Kingston,36.0506,-93.5185 +Old Lexington,35.7198,-92.411 +Garfield,36.4554,-93.9757 +Glenwood,34.3278,-93.5311 +Crossett,33.128,-91.9631 +Greenbrier,35.2289,-92.3836 +Landis,35.9395,-92.4421 +Beedeville,35.4292,-91.1107 +Yarborough Landing,33.7126,-94.0108 +New London,33.1885,-92.3393 +Minturn,35.976,-91.0275 +Paris,35.2899,-93.7228 +Boswell,36.0403,-92.0557 +Wilson,35.5661,-90.043 +Biscoe,34.8209,-91.4043 +Caulksville,35.3017,-93.868 +Roland,34.9005,-92.5186 +Kent,33.6257,-92.8132 +Palestine,34.9688,-90.9063 +Hartman,35.435,-93.6214 +Parkers,34.6184,-92.3157 +Foreman,33.7197,-94.3979 +Formosa,35.4631,-92.5102 +Henderson,36.3806,-92.2277 +College City,36.1253,-90.9393 +Tucker,34.4445,-91.9546 +Clarendon,34.6935,-91.3062 +Austin,35.0069,-91.9896 +Japton,35.962,-93.8044 +Lee Creek,35.6815,-94.3494 +Lewisville,33.3643,-93.5751 +South Lead Hill,36.3948,-92.9056 +Letona,35.3635,-91.8296 +Fisher,35.4915,-90.9725 +Blue Ball,34.9623,-93.7085 +Strong,33.1079,-92.3598 +Marion,35.2041,-90.2062 +Havana,35.1098,-93.5261 +Hattieville,35.2876,-92.7868 +Dryden,35.8342,-90.909 +Mountain Pine,34.5693,-93.1726 +Magazine,35.1536,-93.8064 +Newport,35.6234,-91.2322 +Blevins,33.8716,-93.5778 +Hollis,34.8745,-93.1105 +Midway,34.2602,-92.961 +Fountain Lake,34.6136,-92.92 +Washington,33.773,-93.6833 +Pearcy,34.4287,-93.2899 +Round Pond,35.0626,-90.6196 +Tilton,35.3173,-91.014 +Haynes,34.8909,-90.7927 +Gilmore,35.4131,-90.2973 +Rockport,34.4055,-92.8091 +Dalton,36.4212,-91.1415 +Jerome,33.3989,-91.4697 +Des Arc,34.9777,-91.5068 +Edmondson,35.1041,-90.3052 +Bingen,33.9757,-93.7841 +Ozan,33.848,-93.7203 +Holly Springs,33.8154,-92.7096 +Oakgrove,36.4562,-93.4366 +Grand Glaise,35.4751,-91.4099 +Crawfordsville,35.2267,-90.3241 +Fox,35.7915,-92.2977 +Whitehall,35.4804,-90.7357 +Lowell,36.2563,-94.1518 +Pinnacle,34.8256,-92.4968 +Hoxie,36.036,-90.9736 +Yancopin,33.9407,-91.2187 +Pickens,33.8457,-91.4818 +Appleton,35.4254,-92.8743 +Perryville,35.012,-92.8029 +Mountain Valley,34.6293,-93.0568 +Helena,34.5295,-90.5918 +Elkins,36.0163,-94.025 +Twin Groves,35.3188,-92.4253 +Ogemaw,33.4626,-93.0252 +Blackton,34.6676,-91.1043 +East Camden,33.608,-92.7426 +Birdsong,35.4588,-90.2613 +Bee Branch,35.4509,-92.3946 +Arkana,36.2384,-92.3165 +Ratcliff,35.3066,-93.8887 +Alleene,33.7701,-94.2605 +North Crossett,33.171,-91.9367 +Johnson,36.1328,-94.1758 +Summit,36.2522,-92.6883 +Mount Ida,34.5509,-93.6309 +Stonewall,36.2431,-90.5523 +Arkinda,33.7804,-94.4688 +Casscoe,34.5257,-91.326 +Wynne,35.2325,-90.7895 +Blue Mountain,35.1311,-93.7162 +Friendship,34.2243,-93.0037 +Wabbaseka,34.3591,-91.7928 +Fulton,33.6126,-93.8137 +Bluff City,33.7224,-93.1316 +Fouke,33.2615,-93.8864 +Rosston,33.5877,-93.2798 +Umpire,34.279,-94.0508 +Gillham,34.1686,-94.3145 +Scottsville,35.4487,-93.0466 +Spring Valley,36.1762,-93.9349 +Prattsville,34.3172,-92.5429 +Natural Dam,35.6487,-94.3947 +Beaver,36.4752,-93.7727 +Carlisle,34.7947,-91.7361 +La Grange,34.6556,-90.7353 +Saint Francis,36.4556,-90.1428 +Eudora,33.1189,-91.264 +Sidney,36.0046,-91.6583 +War Eagle,36.2679,-93.941 +Menifee,35.1493,-92.5544 +Howell,35.1137,-91.2454 +Delaware,35.2837,-93.2988 +Bates,34.9082,-94.3869 +Woodson,34.538,-92.2211 +Sherwood,34.851,-92.2029 +Fountain Hill,33.3575,-91.8511 +Campbell Station,35.6678,-91.2538 +Steprock,35.429,-91.6876 +Lonsdale,34.545,-92.8106 +Coal Hill,35.4368,-93.6658 +Fourche,34.9933,-92.6189 +Green Forest,36.3344,-93.4285 +Alco,35.8876,-92.3671 +Oark,35.6895,-93.5724 +Lundell,34.192,-90.9623 +Natural Steps,34.8669,-92.488 +Forrest City,35.0102,-90.7874 +Earle,35.2734,-90.4642 +Farmington,36.037,-94.2537 +Wickes,34.2987,-94.3331 +Floyd,35.1948,-91.9676 +Mansfield,35.0635,-94.2372 +Chickalah,35.1643,-93.2785 +Floral,35.5873,-91.7571 +Tomato,35.8437,-89.7412 +Rosboro,34.2876,-93.5085 +Boydell,33.3657,-91.4912 +Center,36.1498,-91.511 +Princeton,33.9818,-92.6246 +Vick,33.3287,-92.1057 +Corinth,35.0693,-93.4235 +Lavaca,35.3344,-94.1797 +Lockesburg,33.9716,-94.1761 +Kingsland,33.8658,-92.2911 +Jessieville,34.7012,-93.0616 +Grannis,34.2398,-94.322 +Fayetteville,36.0713,-94.166 +Winthrop,33.8308,-94.3542 +Cave Springs,36.2702,-94.2224 +Larue,36.3417,-93.946 +Conway,35.0753,-92.4695 +Boydsville,36.3342,-90.3837 +Marshall,35.9084,-92.646 +Alabam,36.1526,-93.6813 +Garner,35.1418,-91.7809 +Salem,36.3713,-91.8247 +Harrison,36.2437,-93.1197 +Cleveland,35.4215,-92.7096 +Mist,33.274,-91.6915 +Palmyra,33.9229,-91.9304 +Atkins,35.2414,-92.9465 +Laneburg,33.6851,-93.3468 +Mabelvale,34.6551,-92.3865 +West Helena,34.5507,-90.6418 +Bismarck,34.3162,-93.1707 +Horatio,33.941,-94.3554 +Morganton,35.4726,-92.3396 +Cedarville,35.5831,-94.3615 +Springtown,36.2606,-94.4239 +Viola,36.3972,-91.9852 +Elliott,33.4573,-92.8279 +Beirne,33.8887,-93.2041 +Mena,34.581,-94.2374 +Hope,33.6682,-93.5895 +Georgetown,35.1267,-91.4539 +Huntsville,36.0925,-93.736 +McCaskill,33.9187,-93.6416 +Arden,33.6896,-94.2858 +Hunter,35.0545,-91.1227 +England,34.5459,-91.969 +Fairview,33.9732,-92.8796 +Sturkie,36.4573,-91.8732 +Oxford,36.2092,-91.919 +Ravenden Springs,36.3127,-91.2233 +Ashdown,33.6746,-94.1264 +Faith,34.1037,-92.1035 +Pine Bluff,34.2116,-92.0178 +Alma,35.4917,-94.2169 +De Queen,34.0426,-94.342 +Coy,34.5405,-91.8713 +Sparkman,33.9172,-92.8501 +Mountain Home,36.3348,-92.3847 +McAlmont,34.7929,-92.1958 +Harrell,33.5102,-92.4011 +Banks,33.5758,-92.2671 +Black Rock,36.107,-91.1074 +Bay,35.7456,-90.5547 +Kensett,35.2354,-91.6706 +Rena,35.487,-94.3577 +Houston,35.0349,-92.6945 +Hampton,33.5363,-92.4661 +Saint Charles,34.3732,-91.1373 +Big Fork,34.4865,-93.9699 +Tarry,34.0759,-91.8415 +Smyrna,35.6509,-92.9199 +Luxora,35.7576,-89.9298 +Mount Olive,36.0006,-92.0929 +Portland,33.2379,-91.511 +Wesson,33.1154,-92.7627 +Chatfield,35.0059,-90.3973 +Crocketts Bluff,34.444,-91.2201 +Russell,35.362,-91.5102 +Dermott,33.5271,-91.4322 +Provo,34.0376,-94.1077 +Ola,35.031,-93.2244 +Webb City,35.4681,-93.8319 +Penrose,35.1929,-91.051 +Mountainburg,35.6361,-94.1679 +Tillar,33.711,-91.4518 +Branch,35.3075,-93.9556 +Barling,35.3285,-94.2793 +Tyro,33.8357,-91.7207 +Marvell,34.5563,-90.9153 +College Station,34.7059,-92.2305 +Waltreak,34.984,-93.6124 +Ash Flat,36.2365,-91.6071 +Amity,34.2662,-93.4634 +Mulberry,35.5103,-94.0729 +Lost Bridge Village,36.3898,-93.9156 +Victoria,35.7575,-90.06 +Mineral Springs,33.8767,-93.9218 +Guion,35.9269,-91.939 +Warm Springs,36.4803,-91.0515 +De Witt,34.2873,-91.3383 +Magnolia,33.2774,-93.2261 +Black Springs,34.4607,-93.7123 +Greenwood,35.2134,-94.2409 +Hickory Ridge,35.403,-90.9945 +Pearson,35.4406,-92.1279 +Saratoga,33.7518,-93.9027 +Almyra,34.4057,-91.4109 +Caddo Gap,34.4001,-93.6194 +Camp,36.4142,-91.7349 +White Hall,34.2737,-92.1005 +Sidon,35.3445,-91.9393 +Greenland,35.9987,-94.1875 +Plainview,34.9899,-93.2979 +Landmark,34.607,-92.3206 +Sedgwick,35.9761,-90.8663 +Felsenthal,33.0588,-92.1534 +Malvern,34.3689,-92.8187 +Patmos,33.5113,-93.5671 +Owensville,34.6159,-92.8216 +Moark,36.4834,-90.5251 +Valley Springs,36.1537,-92.9896 +Saint Joe,36.029,-92.8078 +Quitman,35.3825,-92.2138 +Wiederkehr Village,35.4813,-93.7579 +Lowry,36.4717,-93.0543 +Cornerstone,34.2304,-91.7451 +Bradley,33.0993,-93.6569 +Durham,35.9495,-93.9805 +Gamaliel,36.4567,-92.2332 +Jasper,36.0102,-93.1861 +Parthenon,35.9531,-93.2421 +Oil Trough,35.6292,-91.4612 +Warren,33.6113,-92.0678 +Wild Cherry,36.264,-92.0568 +Perry,35.0444,-92.7939 +Adona,35.0399,-92.8991 +Cypert,34.4901,-90.9562 +Clifty,36.2373,-93.7963 +Caldwell,35.0788,-90.8136 +Brasfield,34.8329,-91.3807 +Gainesville,36.1648,-90.5107 +Hughes,34.9483,-90.4707 +Caraway,35.7598,-90.3224 +Bonanza,35.2335,-94.4168 +Morrilton,35.1559,-92.7392 +Fargo,34.9537,-91.1764 +Vanndale,35.3134,-90.774 +Tontitown,36.1642,-94.2457 +Gravette,36.4284,-94.3756 +Riverside,35.2937,-91.2412 +Norphlet,33.3199,-92.662 +Murfreesboro,34.0649,-93.6902 +Cauthron,34.9209,-94.2974 +Gurdon,33.9155,-93.1544 +Hot Springs Village,34.6568,-92.9644 +Brentwood,35.8601,-94.1071 +Sherrill,34.3851,-91.9519 +Moscow,34.1465,-91.7951 +Yellville,36.2289,-92.686 +Caddo Valley,34.1888,-93.0689 +Newell,33.166,-92.7446 +Hiram,35.4692,-91.8679 +Witter,35.9376,-93.6835 +Hackett,35.1877,-94.4106 +Greenway,36.3405,-90.2222 +London,35.328,-93.2417 +Pocahontas,36.2639,-90.9699 +Bryant,34.615,-92.491 +Reyno,36.3609,-90.759 +Morrison Bluff,35.3827,-93.523 +Dyess,35.5893,-90.2133 +Walnut Ridge,36.0805,-90.9446 +Jericho,35.2856,-90.2293 +Barton,34.5476,-90.7682 +Mitchellville,33.9052,-91.4984 +Cash,35.8012,-90.9314 +Alix,35.4248,-93.7305 +Higginson,35.1957,-91.7143 +Chester,35.6778,-94.1778 +Hillemann,35.1226,-91.089 +Hiwasse,36.4317,-94.3338 +West Point,35.2033,-91.6099 +Madison,35.0188,-90.7302 +Taylor,33.0998,-93.4618 +Salesville,36.2409,-92.2768 +Flippin,36.2773,-92.593 +Butlerville,34.9759,-91.8335 +Big Flat,36.0056,-92.4066 +Altus,35.4467,-93.7644 +Roe,34.6308,-91.3862 +Lake Hamilton,34.4269,-93.0887 +Swain,35.8492,-93.3399 +Smithville,36.0799,-91.3027 +Garland,33.3609,-93.7142 +Briarcliff,36.2721,-92.2824 +Bull Shoals,36.3747,-92.5902 +Donaldson,34.235,-92.9195 +Story,34.6932,-93.5177 +De Valls Bluff,34.7859,-91.4602 +Midland,35.0927,-94.3531 +Carthage,34.0726,-92.5553 +Ponca,36.0242,-93.3646 +Urbana,33.1596,-92.446 +Scotland,35.5276,-92.6118 +Ivan,33.9118,-92.4246 +McCrory,35.2572,-91.1972 +Tuckerman,35.7235,-91.2027 +Wooster,35.1998,-92.4503 +Joiner,35.5056,-90.15 +Norman,34.4584,-93.6791 +Hermitage,33.4473,-92.1715 +Weona,35.547,-90.5976 +Dierks,34.12,-94.0183 +Amy,33.7321,-92.8154 +Western Grove,36.1011,-92.9546 +Ramsey,33.8743,-92.5538 +Cedar Creek,34.7854,-93.8666 +Fort Smith,35.3494,-94.3695 +Dover,35.391,-93.1143 +Mammoth Spring,36.4924,-91.5413 +Point Cedar,34.3276,-93.3074 +Driggs,35.2365,-93.7724 +Gum Springs,34.0639,-93.0957 +Waldo,33.3528,-93.295 +Delaplaine,36.2304,-90.7256 +Russellville,35.2761,-93.1383 +Southside,35.715,-91.6329 +Oneida,34.4615,-90.7832 +Lead Hill,36.4128,-92.9068 +Bergman,36.3128,-93.0115 +Smale,34.7104,-91.104 +Belleville,35.0915,-93.4458 +Denning,35.4252,-93.7568 +Franklin,36.1727,-91.7698 +Ulm,34.5762,-91.4617 +Highland,36.2657,-91.5186 +Etowah,35.7225,-90.232 +Cherry Valley,35.4021,-90.7545 +Trumann,35.6763,-90.5228 +Staves,34.031,-92.278 +Osage,36.1826,-93.4046 +Marianna,34.7737,-90.7674 +Dixie,35.0768,-91.3632 +Swifton,35.8244,-91.1294 +Damascus,35.3671,-92.4106 +Cherokee City,36.2947,-94.5769 +Mount Vernon,35.2236,-92.124 +Murray,35.9301,-93.3118 +Salus,35.7309,-93.406 +Witts Springs,35.7681,-92.8668 +Cotter,36.2818,-92.5212 +Winslow,35.8008,-94.1303 +Bigelow,34.9985,-92.6312 +Gosnell,35.9644,-89.9721 +Chicot,33.2057,-91.2865 +Florence,33.7657,-91.6457 +Bentonville,36.358,-94.2287 +Moro,34.792,-90.9881 +Anthonyville,35.0398,-90.3403 +Uniontown,35.5845,-94.4441 +Urbanette,36.4198,-93.5335 +Hon,34.9393,-94.1813 +Lake Village,33.3299,-91.2847 +Rye,33.7505,-91.9985 +Parks,34.802,-93.9608 +Central City,35.33,-94.2347 +Hector,35.4644,-92.976 +Cabot,34.9767,-92.0271 +Rison,33.9602,-92.1933 +Moorefield,35.7672,-91.5708 +Hagarville,35.5151,-93.3335 +Curtis,33.9979,-93.1057 +Ladelle,33.4646,-91.7937 +Mayflower,34.9686,-92.4225 +Bearden,33.7276,-92.6187 +Hazen,34.7965,-91.5725 +Sulphur Rock,35.7518,-91.5002 +Watson,33.894,-91.257 +Auvergne,35.5137,-91.2307 +Saint Paul,35.8251,-93.7652 +Grubbs,35.654,-91.0755 +Cammack Village,34.7808,-92.3449 +Marie,35.613,-90.0829 +Banner,35.6417,-91.8315 +Jacksonville,34.8807,-92.1302 +Cornerville,33.8443,-91.9404 +Ferndale,34.779,-92.5577 +Pleasant Plains,35.5539,-91.6281 +Holly Grove,34.6003,-91.1963 +Readland,33.0657,-91.2134 +Casa,35.0253,-93.0448 +Omaha,36.4583,-93.191 +Pike City,34.1123,-93.5752 +Maysville,36.4019,-94.5889 +Yorktown,34.0209,-91.8168 +Melbourne,36.0638,-91.8866 +Lambrook,34.3357,-90.9676 +Cass,35.6876,-93.8194 +Marble,36.1398,-93.5874 +Ida,35.5881,-91.9279 +Paragould,36.056,-90.5147 +Limestone,35.784,-93.2835 +Clarkridge,36.4778,-92.3513 +Tupelo,35.391,-91.2298 +Altheimer,34.3241,-91.8481 +Marked Tree,35.5251,-90.4251 +Emerson,33.0973,-93.196 +Dumas,33.8848,-91.4861 +Texarkana,33.4361,-93.996 +New Edinburg,33.7565,-92.2402 +Burdette,35.8153,-89.9461 +Scott,34.6967,-92.0938 +Pangburn,35.4261,-91.8394 +Grays,35.2265,-91.234 +Oakland,36.4609,-92.571 +Wideman,36.1865,-92.0088 +Gateway,36.4854,-93.9365 +Albany,44.7302,-72.381 +Arlington,43.0691,-73.1475 +Barnet,44.2956,-72.0496 +Groton,44.214,-72.1968 +Barre,44.1997,-72.5083 +Shelburne,44.3759,-73.2265 +West Pawlet,43.3537,-73.2521 +Chelsea,43.987,-72.4523 +Irasburg,44.8002,-72.2852 +Waterbury,44.3429,-72.7429 +East Montpelier,44.2694,-72.4883 +Saxtons River,43.139,-72.5101 +Winooski,44.4951,-73.1842 +Island Pond,44.8125,-71.8862 +Manchester Center,43.1822,-73.0362 +Cavendish,43.3863,-72.6064 +West Topsham,44.1151,-72.3118 +Newport,44.9375,-72.2088 +Northfield,44.1531,-72.6557 +North Bennington,42.924,-73.2411 +Perkinsville,43.3709,-72.5158 +Concord,44.4324,-71.8861 +Montpelier,44.2658,-72.5717 +Plainfield,44.2766,-72.427 +Troy,44.909,-72.4046 +Manchester,43.161,-73.0709 +North Wolcott,44.6112,-72.4604 +Windsor,43.4799,-72.3936 +Brattleboro,42.8588,-72.5628 +Rochester,43.8743,-72.8052 +Jeffersonville,44.6427,-72.8282 +Beecher Falls,45.009,-71.4935 +Bennington,42.8746,-73.1852 +Brandon,43.801,-73.0843 +East Barre,44.1498,-72.4498 +Williamstown,44.1218,-72.5427 +Burlington,44.4877,-73.2314 +South Shaftsbury,42.9411,-73.202 +Lyndonville,44.5352,-72.0016 +Waitsfield,44.19,-72.8246 +Stowe,44.4662,-72.6854 +Websterville,44.1617,-72.4722 +Saint Albans,44.8118,-73.0847 +Wilder,43.6731,-72.3109 +South Royalton,43.8123,-72.5155 +East Burke,44.5875,-71.9403 +Jericho,44.5049,-72.9879 +Johnson,44.6366,-72.6786 +West Burke,44.6431,-71.9792 +Castleton,43.6053,-73.1853 +Morrisville,44.5583,-72.5933 +Barton,44.7481,-72.1753 +Chester,43.2647,-72.5935 +Derby Line,45.0008,-72.1034 +Cambridge,44.6389,-72.8788 +Derby Center,44.955,-72.1361 +South Burlington,44.4622,-73.2203 +Newport Center,44.9509,-72.3042 +Glover,44.7077,-72.1934 +Orleans,44.8092,-72.2013 +Hinesburg,44.3299,-73.1062 +Quechee,43.6444,-72.4184 +Middlebury,44.0079,-73.1575 +West Brattleboro,42.8559,-72.6018 +Woodstock,43.6257,-72.5167 +Fairfield,44.802,-72.9457 +Richmond,44.4076,-72.9965 +Enosburg Falls,44.9083,-72.8029 +Fairlee,43.899,-72.1546 +South Barre,44.1646,-72.5038 +North Westminster,43.1219,-72.4555 +Essex Junction,44.4902,-73.114 +White River Junction,43.6496,-72.3239 +Newbury,44.0812,-72.0594 +North Hartland,43.5936,-72.3578 +Bethel,43.8312,-72.6365 +Poultney,43.5182,-73.2361 +Alburg,44.975,-73.3001 +Readsboro,42.7684,-72.949 +North Springfield,43.33,-72.5263 +East Middlebury,43.9747,-73.1056 +Benson,43.7072,-73.3094 +Bradford,43.996,-72.1266 +East Randolph,43.9401,-72.5551 +Proctorsville,43.3824,-72.6415 +Rutland,43.6091,-72.9782 +Fairfax,44.6695,-73.0106 +Greensboro,44.577,-72.3021 +Dorset,43.255,-73.1009 +Hyde Park,44.596,-72.6123 +Worcester,44.3718,-72.5495 +Canaan,45.0044,-71.5344 +West Dover,42.9392,-72.8529 +West Rutland,43.5972,-73.0451 +Putney,42.9758,-72.5256 +Newfane,42.9875,-72.6548 +Westminster,43.0739,-72.4552 +Cabot,44.405,-72.3115 +Danville,44.4105,-72.1409 +Fair Haven,43.5928,-73.2694 +Springfield,43.2888,-72.4758 +Lowell,44.7951,-72.4449 +Old Bennington,42.8848,-73.2143 +Hartland,43.5425,-72.4 +Marshfield,44.3519,-72.3521 +Norwich,43.7202,-72.3018 +Ascutney,43.408,-72.407 +Wells,43.421,-73.2073 +North Troy,44.9963,-72.4038 +Vergennes,44.1664,-73.2555 +Jacksonville,42.7976,-72.8192 +Milton,44.6352,-73.1155 +Hardwick,44.5022,-72.3654 +Swanton,44.9213,-73.1201 +Coventry,44.866,-72.2679 +Wilmington,42.8718,-72.8677 +Ludlow,43.3973,-72.6969 +Bellows Falls,43.1344,-72.455 +Bristol,44.1383,-73.0874 +Richford,44.9952,-72.6647 +Saint Johnsbury,44.4287,-72.0116 +Wallingford,43.4749,-72.9675 +Pittsford,43.7068,-73.029 +Graniteville,44.1463,-72.4818 +Greensboro Bend,44.5583,-72.2642 +Randolph,43.9273,-72.6728 +Wells River,44.1538,-72.0617 +Olmsted,37.1827,-89.0849 +McClure,37.3148,-89.4331 +Pleasant Hill,39.4434,-90.8729 +Burgess,41.1273,-90.6415 +Toledo,39.2724,-88.2412 +Lodge,40.1061,-88.5601 +Pomona,37.6281,-89.3368 +Liverpool,40.3902,-90.0024 +Oakdale,38.2648,-89.5037 +Casey,39.3027,-87.9896 +Leaf River,42.1236,-89.404 +Beecher City,39.1866,-88.7876 +East Alton,38.8837,-90.1077 +Homer Glen,41.6044,-87.9497 +Beecher,41.3504,-87.6171 +Waterloo,38.3403,-90.1538 +Montrose,39.1659,-88.3776 +Industry,40.3269,-90.6082 +Henry,41.1173,-89.3568 +Exeter,39.7191,-90.4961 +Okawville,38.4346,-89.5481 +Paw Paw,41.6876,-88.9809 +Taylor Springs,39.131,-89.495 +Chicago Ridge,41.7034,-87.7795 +Libertyville,42.287,-87.967 +Windsor,39.4389,-88.5953 +Elburn,41.8838,-88.4615 +Coalton,39.2848,-89.303 +Keyesport,38.7446,-89.274 +Willow Springs,41.7351,-87.8835 +New Lenox,41.5097,-87.97 +Sherman,39.8877,-89.6065 +Gilson,40.8632,-90.1997 +Hamilton,40.3899,-91.3623 +Broadlands,39.9087,-87.9971 +Irwin,41.0539,-87.9838 +Burbank,41.7444,-87.7686 +Algonquin,42.1629,-88.3158 +South Jacksonville,39.7024,-90.2293 +Ohio,41.556,-89.4605 +Hanover Park,41.9819,-88.1447 +Lockport,41.5904,-88.0292 +Green Valley,40.4074,-89.6438 +Russellville,38.8196,-87.5301 +Quincy,39.9335,-91.3797 +Harvey,41.6076,-87.6521 +Oquawka,40.9378,-90.9499 +Browns,38.3775,-87.9831 +Harvel,39.3577,-89.5323 +South Holland,41.5977,-87.6022 +Seymour,40.1067,-88.4271 +Downs,40.3993,-88.8911 +Vernon,38.8014,-89.0896 +Maywood,41.8798,-87.8442 +LaPlace,39.7978,-88.7156 +Lake Catherine,42.487,-88.1272 +Brighton,39.0405,-90.1405 +Grayville,38.2554,-87.997 +Mokena,41.5324,-87.878 +Long Grove,42.197,-88.0056 +Orion,41.3514,-90.3766 +Toulon,41.0935,-89.8633 +Chauncey,38.8353,-87.8709 +Elk Grove Village,42.0062,-87.9929 +Old Mill Creek,42.4322,-87.9786 +Lakewood,42.2277,-88.393 +Countryside,41.7741,-87.8752 +Irving,39.2055,-89.4056 +Gardner,41.193,-88.3147 +Hartford,38.8212,-90.091 +Greenview,40.0849,-89.7405 +Golden Eagle,38.8934,-90.579 +Cicero,41.8445,-87.7593 +Mount Morris,42.0487,-89.4295 +Bunker Hill,39.0416,-89.9512 +Peoria Heights,40.7466,-89.5701 +Saint James,38.9545,-88.8512 +Pinkstaff,38.7945,-87.6692 +Kenilworth,42.0888,-87.7145 +Marissa,38.2501,-89.7746 +Arlington,41.4717,-89.2483 +La Rose,40.9787,-89.235 +Montgomery,41.7237,-88.363 +Newark,41.5368,-88.5803 +Rosewood Heights,38.8886,-90.0719 +Lily Cache,41.5903,-88.1815 +Addison,41.9314,-88.0085 +Harrisburg,37.7373,-88.5457 +Bone Gap,38.4449,-87.9975 +Pesotum,39.913,-88.2744 +Hopewell,40.9842,-89.4572 +Oak Brook,41.8373,-87.9512 +Jonesboro,37.451,-89.2666 +Vandalia,38.9754,-89.1117 +Yorkfield,41.8634,-87.9484 +Aviston,38.6163,-89.6088 +Martinsville,39.3383,-87.8811 +Goodings Grove,41.6292,-87.9309 +Lotus Woods,42.422,-88.1731 +Galva,41.1692,-90.0372 +Dwight,41.0985,-88.4237 +River Forest,41.895,-87.8194 +Miller City,37.1109,-89.3562 +Cairo,37.0062,-89.1819 +Metamora,40.7959,-89.3688 +Milan,41.4416,-90.5595 +Crainville,37.751,-89.0599 +Frankfort,41.4913,-87.8395 +Long Lake,42.3765,-88.1266 +Evanston,42.0463,-87.6942 +Pleasant Plains,39.8746,-89.9186 +Congerville,40.6168,-89.2051 +Golden Gate,38.3588,-88.2047 +Kinderhook,39.7037,-91.1517 +Otterville,39.0508,-90.3985 +Karnak,37.2941,-88.9758 +New Milford,42.1775,-89.065 +Chatham,39.6729,-89.6956 +Godfrey,38.9581,-90.2156 +Freeport,42.2895,-89.6354 +Alorton,38.5849,-90.1137 +Joslin,41.5573,-90.2221 +Cambridge,41.2983,-90.1908 +Clinton,40.1469,-88.9635 +Hord,38.8845,-88.5212 +Sunny Crest,41.5359,-87.6939 +Blandinsville,40.5542,-90.8681 +Orangeville,42.4664,-89.6462 +Hartsburg,40.2509,-89.4414 +Wataga,41.0253,-90.2754 +Arlington Heights,42.0956,-87.9825 +Princeville,40.935,-89.7547 +Rankin,40.4645,-87.896 +Gays,39.4582,-88.4964 +Medinah,41.9814,-88.0512 +Deerfield,42.1653,-87.8515 +Stillman Valley,42.1041,-89.18 +Manito,40.4206,-89.7809 +Lake Camelot,40.6341,-89.7509 +Markham,41.6,-87.6905 +De Soto,37.8163,-89.2268 +Scarboro,41.7814,-89.0343 +Flanagan,40.877,-88.8598 +Crab Orchard,37.7249,-88.8059 +Lee Center,41.7475,-89.2787 +New Burnside,37.5786,-88.7726 +Malden,41.4249,-89.3698 +Charleston,39.4842,-88.1762 +Belle Rive,38.2317,-88.7391 +Channahon,41.4202,-88.2624 +Baylis,39.7294,-90.9095 +Thomasboro,40.2439,-88.1877 +Gifford,40.3079,-88.0214 +Millington,41.5622,-88.6025 +Hillside,41.8674,-87.9019 +Spring Valley,41.3358,-89.2034 +Chicago,41.8373,-87.6861 +Farmington,40.6972,-90.0034 +Ferris,40.4695,-91.1683 +DeKalb,41.9312,-88.7483 +Marengo,42.2312,-88.6153 +Lincolnshire,42.1958,-87.9181 +Albers,38.5452,-89.6142 +Dunlap,40.8488,-89.6714 +Posen,41.6291,-87.6858 +Illiopolis,39.8514,-89.2477 +Caledonia,42.3686,-88.8939 +Mill Shoals,38.2495,-88.3456 +Ellis Grove,38.0094,-89.9099 +Ogden,40.115,-87.9563 +Benton,38.011,-88.9179 +Ludlow,40.3866,-88.1259 +Atwood,39.7992,-88.4626 +Rardin,39.6042,-88.1017 +Cutler,38.0326,-89.5676 +Buckley,40.5975,-88.0376 +Wood River,38.8633,-90.0773 +Leland,41.616,-88.7982 +Willow Hill,38.9958,-88.0218 +Trenton,38.6071,-89.6804 +Mason City,40.2022,-89.6972 +Kingston,42.1008,-88.7619 +Chandlerville,40.0472,-90.1514 +Hillcrest,41.9684,-89.0654 +Lisbon,41.4794,-88.461 +Thayer,39.5404,-89.7579 +Trowbridge,39.3103,-88.5178 +Elkville,37.91,-89.2367 +Union,42.2315,-88.5447 +Fults,38.1644,-90.2128 +Third Lake,42.3708,-88.0123 +Anna,37.4612,-89.2388 +Mount Pulaski,40.0101,-89.2838 +Saunemin,40.8928,-88.406 +Havana,40.295,-90.0567 +Westervelt,39.4791,-88.8612 +Benld,39.093,-89.8023 +Old Shawneetown,37.6972,-88.1386 +West Frankfort,37.8997,-88.9302 +Oneida,41.0722,-90.2247 +West Peoria,40.6972,-89.6394 +Carpentersville,42.1227,-88.2894 +Mattoon,39.4774,-88.3623 +Washington,40.7048,-89.4346 +Andover,41.2949,-90.2907 +Rio,41.1093,-90.3988 +Rockport,39.5389,-91.0087 +Indianola,39.927,-87.7402 +Martinton,40.9153,-87.7266 +Butler,39.1976,-89.5319 +Walnut Hill,38.4777,-89.0446 +Carrier Mills,37.6886,-88.6294 +Buncombe,37.4715,-88.9746 +Merna,40.5167,-88.8259 +Clay City,38.6857,-88.3486 +Pleasant Mound,38.8631,-89.2904 +Edgar,39.7556,-87.7011 +Zeigler,37.9066,-89.0521 +Emington,40.9701,-88.3579 +Lima,40.1762,-91.3782 +Thomson,41.9728,-90.1118 +Irvington,38.4385,-89.1603 +Taylorville,39.5328,-89.2804 +Rapids City,41.5788,-90.3394 +Eagerville,39.1117,-89.784 +Lostant,41.1252,-89.0668 +Beach Park,42.426,-87.8583 +State Park Place,38.6587,-90.0473 +Indian Creek,42.2272,-87.9783 +Crescent City,40.7718,-87.8563 +New Bedford,41.5112,-89.7184 +Stallings,38.7248,-90.0632 +Braceville,41.228,-88.2464 +Dixmoor,41.633,-87.6672 +Hickory Hills,41.7248,-87.8281 +Donovan,40.8848,-87.6142 +Dowell,37.9396,-89.239 +Fayetteville,38.3777,-89.7967 +Elgin,42.0385,-88.3229 +Fillmore,39.1154,-89.2785 +Valmeyer,38.3064,-90.2979 +La Clede,38.8798,-88.7153 +Mechanicsburg,39.803,-89.4066 +Kinmundy,38.7726,-88.8539 +Harrison,37.7982,-89.3361 +Cleveland,41.5035,-90.3177 +Lynwood,41.5233,-87.5507 +Lake Ka-Ho,39.0998,-89.7464 +Hopedale,40.4221,-89.4205 +Lindenwood,42.0531,-89.0307 +Berwyn,41.8433,-87.7909 +Athens,39.9619,-89.7216 +Potomac,40.3068,-87.7977 +Cordova,41.6773,-90.3215 +Georgetown,39.9774,-87.6354 +Mount Auburn,39.7649,-89.2608 +Stoy,38.9967,-87.8333 +Mendota,41.5553,-89.1042 +Newman,39.797,-87.9879 +Lemont,41.6698,-87.983 +Fairview,40.6485,-90.1841 +Saybrook,40.4282,-88.5262 +Mitchellsville,37.6506,-88.5378 +Morris,41.3744,-88.4301 +Grant Park,41.2429,-87.6353 +Ashland,39.8886,-90.008 +Rinard,38.5706,-88.4656 +Oak Forest,41.6055,-87.7527 +Woosung,41.9034,-89.5409 +Dix,38.4431,-88.9423 +Towanda,40.5633,-88.9007 +Russell,42.4906,-87.9126 +Sheldon,40.771,-87.5658 +Cave-in-Rock,37.4708,-88.1659 +Hazel Crest,41.5732,-87.6899 +Ewing,38.0889,-88.8528 +Bay View Garden,40.8089,-89.5206 +Odell,41.0021,-88.5223 +Astoria,40.2279,-90.3566 +Barrington Hills,42.1399,-88.2034 +Andalusia,41.4374,-90.7164 +De Witt,40.1847,-88.7856 +Bonfield,41.145,-88.0541 +Roberts,40.6147,-88.1845 +Varna,41.0353,-89.2244 +Hainesville,42.3414,-88.0686 +Bondville,40.1114,-88.3683 +Cisco,40.0148,-88.7236 +Waynesville,40.2411,-89.1245 +Dupo,38.5144,-90.2167 +Elmwood,40.7804,-89.9656 +Naperville,41.7483,-88.1657 +Warren,42.4948,-89.9913 +Garrett,39.7969,-88.4245 +Woodlawn,38.3279,-89.0347 +Granite City,38.7296,-90.1263 +Saint Elmo,39.0235,-88.8508 +Jerseyville,39.1181,-90.3275 +National City,38.6456,-90.1609 +Lee,41.7954,-88.9417 +Pittsfield,39.6199,-90.7936 +Cuba,40.4936,-90.1933 +Peoria,40.752,-89.6155 +Cedar Point,41.2651,-89.126 +Oconee,39.2863,-89.1066 +Saint Rose,38.6826,-89.5536 +Pocahontas,38.8237,-89.5392 +Sycamore,41.9951,-88.6812 +Rock City,42.4131,-89.4711 +White Ash,37.7853,-88.9294 +Macon,39.7114,-88.9964 +West Point,40.2555,-91.1836 +Madison,38.7021,-90.1475 +Oglesby,41.296,-89.0693 +Essex,41.1819,-88.1926 +Cameron,40.8889,-90.5174 +Marley,41.5486,-87.9256 +Crystal Lake,42.2334,-88.3352 +Fairfield,38.3797,-88.3718 +Meppen,38.997,-90.6048 +Henning,40.3069,-87.701 +Tolono,39.9912,-88.2625 +Goodenow,41.3914,-87.6367 +Coello,37.9942,-89.0673 +Carlock,40.5835,-89.1289 +Reddick,41.0984,-88.2487 +Ingalls Park,41.5203,-88.0346 +Norwood,40.7075,-89.7005 +Maryville,38.7264,-89.9643 +Pontoon Beach,38.7209,-90.0598 +Beckemeyer,38.6059,-89.4322 +Belleville,38.5165,-89.9899 +Du Quoin,38.0019,-89.2323 +Golden,40.1103,-91.0192 +Johnsonville,38.5208,-88.5382 +Pinckneyville,38.0851,-89.3717 +Volo,42.3299,-88.1598 +German Valley,42.2142,-89.4844 +Royalton,37.8773,-89.1142 +Oakwood,40.1101,-87.7769 +Kell,38.4913,-88.9033 +Hudson,40.6053,-88.9895 +Malta,41.9291,-88.867 +Deer Grove,41.6098,-89.6874 +Virgil,41.9555,-88.5292 +Sleepy Hollow,42.0913,-88.3137 +Hillsboro,39.167,-89.4735 +Cherry Hill,41.5234,-88.0145 +Hazel Green,41.6834,-87.7401 +Bensenville,41.9595,-87.9434 +Mount Vernon,38.3141,-88.9176 +Literberry,39.8542,-90.1996 +Hillsdale,41.6108,-90.1752 +River Grove,41.9243,-87.8379 +Park Ridge,42.0125,-87.8436 +Maquon,40.798,-90.1632 +Iroquois,40.8286,-87.5844 +Dallas City,40.6353,-91.1645 +East Gillespie,39.1378,-89.8127 +Fairmount,40.0456,-87.8293 +Pawnee,39.5936,-89.5825 +Clifton,40.9346,-87.9339 +Ellsworth,40.4496,-88.7161 +Valier,38.0176,-89.0439 +Keenes,38.3386,-88.6419 +Orient,37.9176,-88.9773 +Bushnell,40.5518,-90.5045 +Plainville,39.7848,-91.1818 +Allerton,39.9161,-87.9353 +Fairmont City,38.6507,-90.1011 +Metropolis,37.1566,-88.7082 +Columbia,38.4581,-90.2156 +Verona,41.2156,-88.5047 +Lenzburg,38.2859,-89.8179 +Signal Hill,38.5773,-90.0568 +Standard,41.2555,-89.1818 +El Paso,40.7405,-89.0181 +Willowbrook,41.7635,-87.9456 +Atlanta,40.2638,-89.231 +Easton,40.232,-89.8412 +Calumet Park,41.6649,-87.6578 +Hopkins Park,41.0689,-87.6064 +Centralia,38.5223,-89.1233 +Lincoln Estates,41.5025,-87.807 +Valley View,41.8303,-88.0678 +Lynnville,39.6857,-90.3459 +Galesburg,40.9506,-90.3763 +Sauk Village,41.4907,-87.5702 +Holder,40.4511,-88.8042 +Lacon,41.0228,-89.4061 +Mundelein,42.2692,-88.0101 +Fidelity,39.1546,-90.1642 +Burlington,42.0415,-88.5511 +Silvis,41.4975,-90.4101 +Midlothian,41.6254,-87.7243 +Elsah,38.954,-90.3554 +Dalton City,39.7172,-88.8065 +Sheffield,41.3573,-89.7372 +Equality,37.7371,-88.342 +Mineral,41.3843,-89.8388 +Paderborn,38.3595,-90.0465 +Coal City,41.278,-88.2791 +Latham,39.967,-89.1623 +Harwood Heights,41.9663,-87.8057 +Morton Grove,42.0423,-87.789 +Buckner,37.9807,-89.0151 +Breese,38.6138,-89.5231 +Long Creek,39.8052,-88.8475 +Cedarville,42.3757,-89.6361 +Percy,38.0154,-89.6187 +Eddyville,37.5005,-88.5847 +Cissna Park,40.5667,-87.8923 +Baldwin,38.1838,-89.8451 +Tower Lake,42.2315,-88.1538 +Justice,41.7495,-87.8345 +Thornton,41.571,-87.6187 +Onarga,40.7156,-88.0064 +Lansing,41.5646,-87.5459 +Lisle,41.7922,-88.0883 +McCook,41.7959,-87.841 +Centreville,38.5798,-90.1039 +New Salem,39.7076,-90.8478 +Secor,40.7418,-89.1351 +Cropsey,40.6092,-88.4787 +Tilden,38.2124,-89.684 +Tamms,37.2416,-89.2714 +Wayne City,38.3481,-88.5894 +Westmont,41.7948,-87.9742 +Arrowsmith,40.4493,-88.6321 +Time,39.5612,-90.7234 +Damiansville,38.5087,-89.6149 +Freeburg,38.4397,-89.9167 +Alsey,39.5593,-90.4329 +Lebanon,38.6024,-89.8125 +Oakwood Hills,42.2478,-88.2393 +Bath,40.1905,-90.1425 +Roseville,40.7308,-90.6639 +Spring Bay,40.8207,-89.5285 +Melrose Park,41.9029,-87.8642 +Media,40.7694,-90.8326 +Calhoun,38.6511,-88.044 +Plainfield,41.6203,-88.2261 +Broadview,41.8584,-87.8562 +Hume,39.7985,-87.8693 +Noble,38.6974,-88.2233 +Apple Canyon Lake,42.4302,-90.1642 +Cobden,37.5335,-89.2545 +Carrollton,39.2948,-90.4062 +Joliet,41.5193,-88.1501 +Carterville,37.763,-89.084 +Bardolph,40.4962,-90.5633 +Riverton,39.8454,-89.5394 +Hamel,38.8891,-89.8426 +Prospect Heights,42.1039,-87.9267 +Apple River,42.5022,-90.0937 +Yale,39.1203,-88.0246 +Camp Point,40.0377,-91.0664 +Phoenix,41.6118,-87.6308 +Thebes,37.214,-89.4544 +Fithian,40.1143,-87.875 +Morton,40.6137,-89.4668 +Wyoming,41.0637,-89.773 +Coatsburg,40.0324,-91.1603 +Horatio Gardens,42.1645,-87.9423 +Brookfield,41.8245,-87.847 +Prophetstown,41.6703,-89.9349 +Lakemoor,42.3398,-88.2031 +Cypress,37.3655,-89.0187 +Pecatonica,42.3085,-89.3578 +Frankfort Square,41.5221,-87.8034 +Camargo,39.799,-88.1671 +Biggsville,40.854,-90.862 +Lilymoor,42.3306,-88.2131 +Griggsville,39.7078,-90.7273 +Avon,40.662,-90.4351 +Mettawa,42.2448,-87.9201 +Wasson,37.7881,-88.4848 +Minooka,41.4507,-88.2791 +Augusta,40.2309,-90.9498 +Fieldon,39.1088,-90.4997 +Lindenhurst,42.4175,-88.0258 +Rome,40.8753,-89.5128 +Edwardsville,38.7924,-89.9876 +North Pekin,40.6113,-89.6226 +Clark Center,39.3625,-87.782 +Pittsburg,37.7771,-88.8499 +Panola,40.7829,-89.0203 +Neponset,41.2968,-89.7894 +Glenview,42.0825,-87.8216 +Danvers,40.5297,-89.1753 +Clarendon Hills,41.798,-87.9569 +Deer Park,42.1655,-88.0867 +Robbs,37.4589,-88.6998 +Venetian Village,42.4012,-88.0465 +Petersburg,40.0143,-89.8455 +Peru,41.349,-89.1368 +Poag,38.797,-90.039 +Elizabeth,42.3162,-90.2197 +Vernon Hills,42.2341,-87.9608 +Cornland,39.9375,-89.4019 +Sandoval,38.612,-89.1193 +Streator,41.1242,-88.8296 +Basco,40.3278,-91.1995 +Bloomingdale,41.9496,-88.0894 +Creston,41.9335,-88.9742 +Fenton,41.7306,-90.0301 +Westfield,39.4554,-87.9967 +Eldena,41.7711,-89.4101 +Normal,40.522,-88.9877 +Goofy Ridge,40.3948,-89.9407 +Collinsville,38.6768,-90.0053 +Monee,41.4172,-87.7504 +Fairbury,40.7462,-88.5168 +Erie,41.6587,-90.0815 +Longview,39.8859,-88.0662 +Spillertown,37.7642,-88.9197 +Smithton,38.4168,-89.9898 +Neoga,39.3218,-88.45 +Royal,40.1933,-87.9722 +Danforth,40.8218,-87.9778 +Diamond,41.2851,-88.2506 +Rolling Meadows,42.0747,-88.0253 +Osman,40.2959,-88.472 +Hoffman,38.5404,-89.2644 +Palmer,39.4587,-89.4079 +Half Day,42.2011,-87.9334 +Emden,40.2982,-89.485 +Litchfield,39.1963,-89.6288 +Blue Mound,39.7005,-89.1186 +Beverly,39.7934,-90.991 +Riverwoods,42.1723,-87.8951 +Rosiclare,37.4239,-88.3501 +Wonder Lake,42.3791,-88.3493 +Concord,39.8153,-90.3697 +Stickney,41.8183,-87.773 +Dolton,41.6284,-87.5979 +Hurst,37.8351,-89.1443 +Forreston,42.1265,-89.5783 +Prairie City,40.621,-90.4649 +Wood Dale,41.9666,-87.9808 +Cherry,41.4282,-89.2137 +York Center,41.857,-87.9878 +Alto Pass,37.5737,-89.3192 +Danville,40.1423,-87.6114 +Dalzell,41.3553,-89.1763 +Naples,39.7534,-90.6069 +Gurnee,42.3708,-87.9392 +Logan,37.9579,-88.8356 +Rockton,42.45,-89.0631 +Galatia,37.8414,-88.6148 +Spaulding,39.8665,-89.5446 +Antioch,42.4744,-88.072 +Somonauk,41.642,-88.6732 +Hanna City,40.6936,-89.8064 +Hardin,39.1591,-90.6248 +Williamsville,39.9517,-89.5504 +Akin,37.9881,-88.7476 +Summit,41.7877,-87.8145 +Millbrook,41.605,-88.5449 +Grand Tower,37.6343,-89.5013 +Lake Zurich,42.1955,-88.087 +Burtons Bridge,42.2797,-88.229 +Glenwood,41.5412,-87.6119 +Galena,42.4217,-90.4292 +West Union,39.215,-87.6657 +Peotone,41.3312,-87.7937 +Menominee,42.4747,-90.5428 +Owaneco,39.4815,-89.195 +Sibley,40.5876,-88.3785 +Hamletsburg,37.1387,-88.4317 +Barry,39.6983,-91.0398 +La Salle,41.3575,-89.0718 +Seaton,41.1023,-90.7991 +Hull,39.7086,-91.2032 +Kansas,39.5545,-87.9394 +Lyndon,41.7174,-89.9237 +Fisher,40.3157,-88.3502 +Mount Zion,39.7792,-88.8828 +Westview,38.537,-90.1018 +Kappa,40.6755,-89.006 +Lexington,40.6469,-88.7847 +Mount Erie,38.5145,-88.2323 +Northfield,42.1026,-87.7791 +Kinsman,41.1903,-88.5699 +Arbury Hills,41.5356,-87.8476 +Ridgewood,41.5356,-88.0403 +Fall Creek,39.7789,-91.3024 +South Roxana,38.814,-90.0605 +New Windsor,41.2023,-90.4424 +Orland Park,41.6075,-87.8619 +Germantown Hills,40.7717,-89.4667 +Tilton,40.0941,-87.6398 +Lawrenceville,38.7263,-87.6874 +Manchester,39.5423,-90.3303 +Mossville,40.8156,-89.5679 +Bellwood,41.8829,-87.8762 +Oak Hills,38.6381,-89.9807 +Coffeen,39.0883,-89.3898 +Scales Mound,42.475,-90.2525 +Indian Head Park,41.769,-87.8977 +Keithsburg,41.1004,-90.9353 +Winslow,42.4932,-89.7945 +Chestnut,40.0538,-89.1866 +Cloverdale,41.9395,-88.1203 +Tuscola,39.7978,-88.2759 +Herscher,41.0493,-88.1006 +Berlin,39.7576,-89.9026 +Elmhurst,41.8973,-87.9432 +McLean,40.3155,-89.1703 +Golconda,37.3621,-88.4872 +Bluff City,38.9639,-89.0465 +Murrayville,39.582,-90.2518 +Kane,39.1905,-90.3512 +Carbon Cliff,41.4982,-90.392 +Chenoa,40.7389,-88.7256 +Lake Barrington,42.2122,-88.1683 +Loda,40.5162,-88.0759 +Ransom,41.1586,-88.6542 +Forest Park,41.8683,-87.8157 +Maroa,40.0364,-88.9563 +Heyworth,40.3143,-88.9923 +Island Lake,42.2782,-88.2002 +Grand Ridge,41.2362,-88.831 +Pearl,39.4597,-90.6237 +Stonington,39.6385,-89.1921 +Riverside,41.831,-87.8169 +Bourbonnais,41.1831,-87.8781 +Klondike,42.4242,-88.1493 +Coyne Center,41.4002,-90.5632 +Nilwood,39.3995,-89.8077 +Littleton,40.234,-90.6223 +El Dara,39.6227,-90.9911 +New Minden,38.4384,-89.3704 +Nauvoo,40.5457,-91.3829 +Keensburg,38.3518,-87.8684 +Oakbrook Terrace,41.8539,-87.9684 +Waterman,41.7683,-88.7659 +Rosemont,41.989,-87.8717 +Round Lake Heights,42.3855,-88.1039 +Wilsonville,39.0694,-89.8553 +Marshall,39.3988,-87.6901 +Saint Joseph,40.1141,-88.0354 +Round Lake,42.3437,-88.1056 +Venice,38.6719,-90.1689 +Flossmoor,41.5391,-87.6857 +Forest City,40.3722,-89.8325 +Cottage Hills,38.9031,-90.0701 +Alsip,41.6701,-87.7368 +Burnt Prairie,38.2508,-88.2586 +Piper City,40.756,-88.1887 +Streamwood,42.0209,-88.1778 +Red Bud,38.2096,-89.9995 +Warrenville,41.821,-88.1856 +Nashville,38.3514,-89.3772 +Dunfermline,40.4913,-90.032 +Plano,41.6757,-88.5294 +Du Bois,38.2214,-89.2129 +Iuka,38.6183,-88.7876 +Meredosia,39.8311,-90.5571 +Teutopolis,39.1314,-88.4818 +Standard City,39.3503,-89.7835 +Forest View,41.8073,-87.7798 +Hampton,41.5557,-90.4033 +Bogota,38.9184,-88.24 +Yorkville,41.6563,-88.4508 +Ellisville,40.6273,-90.306 +Waggoner,39.3776,-89.6527 +Hillview,39.4495,-90.5386 +Herod,37.5803,-88.4362 +Plattville,41.5345,-88.384 +Woodland,40.7143,-87.7304 +Brookport,37.1258,-88.6279 +Enfield,38.1019,-88.3382 +White Hall,39.4388,-90.4019 +Sterling,41.7997,-89.6952 +Lombard,41.874,-88.0158 +Sandwich,41.6497,-88.6178 +Nebo,39.4421,-90.788 +Rockdale,41.5058,-88.1183 +Kirkwood,40.8677,-90.7485 +Adair,40.4183,-90.4974 +Radom,38.2798,-89.1922 +Bement,39.9229,-88.5719 +Williamsfield,40.9267,-90.0182 +Saint Libory,38.3635,-89.7134 +Goreville,37.561,-88.9557 +Grantfork,38.8288,-89.6673 +Troy,38.727,-89.8968 +Savoy,40.0602,-88.2553 +Wenona,41.0486,-89.0522 +Waltonville,38.214,-89.0374 +Chapin,39.767,-90.4027 +Walnut,41.557,-89.5908 +Orland Hills,41.5905,-87.8413 +Kilbourne,40.1519,-90.0115 +East Saint Louis,38.6155,-90.1304 +Swansea,38.5507,-89.9859 +Chillicothe,40.9153,-89.5018 +Vienna,37.4143,-88.8871 +East Galesburg,40.9428,-90.3109 +Bridgeview,41.7402,-87.8067 +Wilmington,41.3198,-88.1434 +San Jose,40.306,-89.6041 +Stonefort,37.6178,-88.7051 +Ripley,40.0252,-90.6379 +Forsyth,39.926,-88.9643 +Timberlane,42.3372,-88.8694 +Sherrard,41.3109,-90.499 +Palos Hills,41.6986,-87.8266 +Seneca,41.3211,-88.5881 +Geneseo,41.4508,-90.154 +East Cape Girardeau,37.2957,-89.4869 +Moline,41.482,-90.4919 +South Barrington,42.0881,-88.1579 +Middletown,40.1009,-89.5912 +West Dundee,42.0984,-88.3072 +Lewistown,40.3968,-90.1555 +Carbondale,37.722,-89.2238 +Oblong,39.0024,-87.911 +Penfield,40.3048,-87.9442 +Bowen,40.2321,-91.0633 +Wheeler,39.043,-88.3188 +Stolle,38.5434,-90.1698 +Sawyerville,39.0785,-89.802 +Bartlett,41.9804,-88.2071 +West Chicago,41.8958,-88.2252 +Chemung,42.4162,-88.6642 +Rantoul,40.3031,-88.1549 +Villa Grove,39.8645,-88.16 +Union Hill,41.1085,-88.1462 +Stockton,42.3521,-90.0007 +Strawn,40.6537,-88.3999 +Leland Grove,39.7787,-89.6839 +Ava,37.8886,-89.4965 +Wamac,38.4972,-89.1456 +Ridge Farm,39.8957,-87.652 +Granville,41.2637,-89.2302 +Plato Center,42.0267,-88.4301 +Lerna,39.4179,-88.2883 +Williams Park,42.2542,-88.1834 +Springfield,39.7712,-89.6539 +Ashkum,40.8782,-87.9531 +Ladd,41.3816,-89.2145 +Watseka,40.7748,-87.7292 +Saint Charles,41.9193,-88.311 +Redmon,39.6448,-87.8616 +Watson,39.0262,-88.5683 +Mount Carroll,42.0947,-89.977 +Omaha,37.8899,-88.3054 +Roscoe,42.4253,-89.0084 +Macedonia,38.0525,-88.7054 +Plymouth,40.2921,-90.9163 +Pekin,40.5677,-89.6263 +Dorchester,39.0859,-89.8878 +New Haven,37.9026,-88.1279 +New Berlin,39.7259,-89.9134 +Fandon,40.3684,-90.7615 +Loxa,39.4973,-88.2673 +Melvin,40.5715,-88.2466 +Carol Stream,41.9183,-88.1309 +Delafield,38.1478,-88.6028 +Idylside,41.5189,-88.122 +Wayne,41.9494,-88.2583 +Virden,39.5058,-89.7711 +Kaneville,41.8336,-88.5216 +Westchester,41.8492,-87.8906 +New Baden,38.5367,-89.7072 +Sainte Marie,38.93,-88.0278 +Toluca,41.0044,-89.1339 +Ware,37.4478,-89.394 +Hoyleton,38.4459,-89.2722 +Bentley,40.3441,-91.1118 +Wenonah,39.32,-89.2879 +Oakford,40.101,-89.9652 +Bonnie,38.2028,-88.9069 +Hawthorn Woods,42.2313,-88.0623 +Trimble,39.0634,-87.6845 +Moweaqua,39.6247,-89.022 +Rentchler,38.492,-89.8697 +Crossville,38.1625,-88.0643 +Buda,41.3291,-89.6791 +Steeleville,38.0084,-89.6624 +Godley,41.2385,-88.2452 +Buckingham,41.0463,-88.175 +Park City,42.3522,-87.8915 +Maeystown,38.2267,-90.233 +Huntley,42.16,-88.433 +Herald,37.9664,-88.1814 +Arthur,39.7144,-88.4694 +Willisville,37.9828,-89.5898 +Hinsdale,41.8005,-87.9273 +Medora,39.1765,-90.1414 +Leonore,41.189,-88.9825 +Lyons,41.8121,-87.8192 +Grandwood Park,42.3929,-87.9871 +Saint Augustine,40.7212,-90.407 +Skokie,42.0359,-87.74 +Milledgeville,41.9637,-89.7748 +Forrest,40.7508,-88.4098 +Spring Grove,42.4547,-88.2403 +Northlake,41.9142,-87.9054 +Wedges Corner,42.3861,-88.0042 +Canton,40.5632,-90.0409 +Richmond,42.4641,-88.3088 +Johnsburg,42.384,-88.2475 +Louisville,38.7694,-88.5065 +Shawneetown,37.7164,-88.1862 +Depue,41.3242,-89.3068 +Columbus,39.9881,-91.1452 +Niles,42.0278,-87.8099 +Junction City,38.5773,-89.1259 +Beaverville,40.9534,-87.6548 +Geff,38.4425,-88.4042 +Braidwood,41.2696,-88.2233 +Prairie View,42.1992,-87.9556 +Greenfield,39.3443,-90.208 +Baileyville,42.1972,-89.5934 +Byron,42.1273,-89.2622 +Hodgkins,41.7668,-87.8603 +Billett,38.6645,-87.6522 +Ina,38.1495,-88.904 +Cahokia,38.5649,-90.1792 +New Holland,40.1835,-89.5831 +Nora,42.4565,-89.9459 +Pyatts,38.0031,-89.3712 +Glasgow,39.5487,-90.48 +Royal Lakes,39.1103,-89.9615 +Hartland,42.3636,-88.5073 +Raymond,39.3197,-89.5751 +Mounds,37.1145,-89.2024 +Lake of the Woods,40.2047,-88.3732 +Sparland,41.0296,-89.4411 +Boulder Hill,41.7112,-88.3353 +Broughton,37.9346,-88.4616 +Hanover,42.2552,-90.2736 +Compton,41.6941,-89.0861 +Mackinaw,40.534,-89.3556 +Oak Park,41.8872,-87.7899 +Ullin,37.2777,-89.1752 +Port Barrington,42.2439,-88.1942 +East Dundee,42.0969,-88.2546 +White City,39.0716,-89.7637 +Hollowayville,41.3648,-89.2948 +Jeisyville,39.5793,-89.408 +Ingraham,38.8362,-88.3339 +Dixon,41.8437,-89.4786 +Green Rock,41.4731,-90.3576 +Smithboro,38.8945,-89.34 +Smithfield,40.4744,-90.2951 +Wildwood,42.3428,-87.9981 +East Moline,41.5199,-90.388 +South Beloit,42.4821,-89.0249 +Monticello,40.0339,-88.5729 +Kempton,40.9354,-88.2354 +Herrin,37.7984,-89.0303 +Marietta,40.4995,-90.3931 +Carmi,38.0857,-88.1727 +Hamburg,39.2328,-90.7152 +Merrionette Park,41.6812,-87.7012 +Brussels,38.9484,-90.5889 +Sims,38.3615,-88.5354 +Tampico,41.6307,-89.7852 +Edinburg,39.6579,-89.3904 +Momence,41.164,-87.663 +Thompsonville,37.9144,-88.7623 +Seward,42.2389,-89.3579 +Green Oaks,42.2954,-87.9116 +Table Grove,40.365,-90.4252 +Highland Hills,41.8492,-88.0045 +Hollywood Heights,38.6325,-89.9965 +Holbrook,41.5384,-87.6367 +Newton,38.9872,-88.1644 +Lomax,40.6789,-91.0762 +Polo,41.9847,-89.5789 +Effingham,39.1206,-88.5509 +French Village,38.6003,-90.0501 +Richton Park,41.4821,-87.7353 +Bishop Hill,41.1995,-90.1174 +Argenta,39.9851,-88.8202 +Machesney Park,42.3666,-89.0266 +Farina,38.8301,-88.7797 +Good Hope,40.5575,-90.6755 +Aptakisic,42.1825,-87.9473 +Scottville,39.4777,-90.1038 +Mound City,37.0854,-89.163 +Ledford,37.7,-88.5901 +Ridgefield,42.2684,-88.3615 +Bolingbrook,41.6903,-88.102 +Yates City,40.7777,-90.014 +Highland Park,42.1824,-87.8105 +Jewett,39.2078,-88.2431 +Palos Heights,41.6637,-87.7959 +Chana,41.9806,-89.2198 +Sidell,39.9097,-87.8236 +Rose Hill,39.1043,-88.1499 +Batavia,41.8479,-88.3109 +Kildeer,42.1831,-88.0488 +Annawan,41.3948,-89.8881 +Hidalgo,39.1559,-88.1491 +Homewood,41.5591,-87.661 +Sailor Springs,38.7644,-88.36 +Ashmore,39.5305,-88.0202 +Saint Johns,38.0333,-89.24 +Elkhart,40.0175,-89.48 +Alhambra,38.8876,-89.736 +Ford Heights,41.5109,-87.5814 +Belgium,40.0607,-87.6328 +Campbell Hill,37.9298,-89.551 +Ottawa,41.3529,-88.8313 +Sesser,38.0905,-89.0509 +Tonica,41.2159,-89.0701 +Tinley Park,41.567,-87.8051 +West City,37.9962,-88.947 +Shiloh,38.5535,-89.9161 +Oliver,39.4839,-87.6814 +Olivet,39.9414,-87.6379 +Pierron,38.7767,-89.5667 +Clear Lake,39.8138,-89.5683 +Reno,38.975,-89.514 +Mendon,40.0894,-91.2858 +Edgewood,38.9222,-88.6641 +Phillipstown,38.1429,-88.0181 +Adeline,42.1405,-89.4919 +Grafton,38.9765,-90.4259 +Bluffs,39.7494,-90.5352 +Virginia,39.9518,-90.211 +Allendale,38.5276,-87.7103 +Cantrall,39.9353,-89.679 +Hazel Dell,39.2023,-88.0411 +Loves Park,42.3365,-88.9975 +Woodhull,41.1786,-90.3221 +Lafayette,41.1081,-89.9715 +Sorento,39.0001,-89.5728 +Lake Bluff,42.2826,-87.851 +Southern View,39.756,-89.6512 +Ivanhoe,42.2789,-88.042 +Reynolds,41.332,-90.6721 +Colfax,40.5666,-88.6161 +West Jersey,41.0189,-89.9271 +Norris,40.6258,-90.0321 +Gridley,40.7438,-88.8807 +Waukegan,42.3697,-87.8716 +Palestine,39.0016,-87.6126 +Kirkland,42.0905,-88.8491 +Henderson,41.0238,-90.3535 +Nason,38.176,-88.9662 +Roodhouse,39.484,-90.3741 +Caseyville,38.6301,-90.0342 +Kangley,41.148,-88.8722 +Paxton,40.4565,-88.1018 +Oak Grove,41.412,-90.5742 +Chicago Heights,41.5101,-87.6347 +Minier,40.4336,-89.3144 +North Barrington,42.2065,-88.1316 +Stewardson,39.2639,-88.6303 +South Elgin,41.9907,-88.3132 +Big Rock,41.7669,-88.5264 +Pana,39.3827,-89.0643 +Marion,37.717,-88.9274 +Itasca,41.9773,-88.0182 +Makanda,37.621,-89.2357 +Rock Falls,41.7724,-89.6928 +Rochester,39.749,-89.5459 +McLeansboro,38.0898,-88.5383 +Parkersburg,38.5891,-88.0568 +Knoxville,40.907,-90.2857 +Downers Grove,41.7949,-88.017 +Mulberry Grove,38.9244,-89.2661 +Valley City,39.7071,-90.6514 +Morrison,41.8077,-89.9618 +Lake Holiday,41.6156,-88.6703 +Pontiac,40.8881,-88.6415 +Hoopeston,40.4608,-87.6635 +Donnellson,39.0307,-89.4745 +Oregon,42.0132,-89.3356 +Joppa,37.207,-88.8447 +Cambria,37.78,-89.1189 +Sigel,39.2257,-88.4945 +Colchester,40.4273,-90.7922 +Rock Island,41.4699,-90.5827 +Rossville,40.3815,-87.67 +Shumway,39.1834,-88.6532 +Kingston Mines,40.5587,-89.7718 +Bridgeport,38.7094,-87.7591 +Browning,40.127,-90.373 +Ridott,42.2974,-89.4773 +Dana,40.9565,-88.95 +Beason,40.1423,-89.1951 +La Harpe,40.5847,-90.9698 +Curran,39.7422,-89.7782 +Park Forest,41.4817,-87.6868 +Dawson,39.8533,-89.4626 +Mascoutah,38.5191,-89.8045 +Schiller Park,41.9586,-87.8693 +La Grange,41.8072,-87.8742 +Sidney,40.025,-88.0721 +Panama,39.0293,-89.5247 +Schaumburg,42.0307,-88.0838 +Springerton,38.1787,-88.3548 +McHenry,42.3388,-88.2931 +Pontoosuc,40.6284,-91.2112 +Metcalf,39.7998,-87.8094 +Robbins,41.6431,-87.708 +Stronghurst,40.7463,-90.9095 +Princeton,41.3809,-89.4647 +Diamond Lake,42.2445,-88.0101 +Oak Run,40.9649,-90.1304 +Rutland,40.9838,-89.0413 +Sumner,38.7197,-87.8726 +Darmstadt,38.319,-89.7288 +Colp,37.8074,-89.0787 +Northbrook,42.1292,-87.8353 +Saint David,40.492,-90.0519 +Salem,38.6278,-88.9578 +Greenwood,42.3915,-88.3894 +Palmyra,39.4345,-89.9959 +Shannon,42.1524,-89.7402 +Bismarck,40.2594,-87.6113 +Oakley,39.8761,-88.8059 +Pulaski,37.2163,-89.2078 +Rochelle,41.9198,-89.0634 +Viola,41.2053,-90.5863 +Woodridge,41.7369,-88.0408 +Elliott,40.4663,-88.2767 +Oak Lawn,41.7139,-87.7528 +Steger,41.4722,-87.6183 +Dongola,37.3599,-89.1654 +New Douglas,38.9697,-89.6663 +Witt,39.2545,-89.3492 +Vermont,40.2959,-90.4291 +Mapleton,40.5731,-89.7245 +White Heath,40.0869,-88.5115 +Raleigh,37.8262,-88.5304 +Pearl City,42.2662,-89.8273 +Oswego,41.6834,-88.3372 +Mazon,41.2418,-88.4233 +Lanark,42.1019,-89.8328 +Mount Olive,39.0726,-89.7277 +New Canton,39.6374,-91.0982 +Roanoke,40.7969,-89.2022 +Albany,41.7861,-90.2166 +Mount Sterling,39.9854,-90.7641 +Rockwood,37.8406,-89.6969 +Bourbon,39.7456,-88.3789 +Capron,42.3986,-88.7393 +Pistakee Highlands,42.4028,-88.2117 +Wilmette,42.077,-87.7282 +Timewell,40.0078,-90.8737 +Champaign,40.1144,-88.2735 +Christopher,37.9711,-89.053 +Berkeley,41.8891,-87.9114 +Marine,38.7871,-89.7782 +Muddy,37.7655,-88.5138 +Belknap,37.3224,-88.9405 +Keeneyville,41.9675,-88.1203 +University Park,41.446,-87.7154 +East Hazel Crest,41.5758,-87.6502 +Alpha,41.1917,-90.3806 +East Carondelet,38.5386,-90.24 +Harlem,42.3403,-89.0179 +Campton Hills,41.9498,-88.4167 +Bradley,41.1643,-87.8451 +Colona,41.4676,-90.3445 +Dakota,42.3875,-89.5268 +Herrick,39.2196,-88.9848 +Lake Petersburg,39.9832,-89.8655 +Assumption,39.5178,-89.0485 +Langleyville,39.5611,-89.3602 +Muncie,40.1161,-87.843 +Port Byron,41.6166,-90.3273 +Glen Ellyn,41.8669,-88.063 +Kaskaskia,37.9213,-89.9164 +Odin,38.6159,-89.0541 +Goodwine,40.5673,-87.7845 +Washington Park,38.6285,-90.0928 +Sciota,40.5625,-90.7479 +Hennepin,41.259,-89.3222 +Farmer City,40.248,-88.6426 +Davis,42.4216,-89.4153 +Shobonier,38.8695,-89.0887 +Alvin,40.3084,-87.6084 +Olympia Fields,41.517,-87.6924 +Winnetka,42.1064,-87.7421 +Elizabethtown,37.4499,-88.3051 +Gillespie,39.1258,-89.8173 +Murphysboro,37.7679,-89.3321 +Carthage,40.4143,-91.1277 +Urbana,40.1106,-88.1972 +Hindsboro,39.685,-88.1348 +Perry,39.7823,-90.747 +Arcola,39.6834,-88.3012 +Johnston City,37.8213,-88.9286 +Elmwood Park,41.9225,-87.8163 +Boulder,38.6967,-89.2256 +Findlay,39.5223,-88.7546 +Lake Villa,42.4184,-88.0836 +Walshville,39.0689,-89.6189 +Como,41.7662,-89.7657 +Grand Chain,37.2517,-89.0234 +Latham Park,42.3684,-89.0629 +Kankakee,41.102,-87.8643 +Franklin,39.6213,-90.0478 +Ashton,41.8682,-89.2224 +Mark,41.2624,-89.2553 +Cherry Valley,42.222,-88.9717 +McNabb,41.1774,-89.2097 +Patoka,38.754,-89.0959 +Hometown,41.7312,-87.7311 +Ohlman,39.3434,-89.2192 +Parnell,40.2231,-88.7206 +Florence,39.6286,-90.6106 +Opdyke,38.2583,-88.7898 +Batchtown,39.0332,-90.6534 +Eldorado,37.8113,-88.4416 +Hampshire,42.1112,-88.512 +Altamont,39.0571,-88.7475 +Huey,38.6053,-89.29 +Manhattan,41.4274,-87.9802 +Versailles,39.8842,-90.6587 +East Dubuque,42.489,-90.6279 +Coal Valley,41.4417,-90.4475 +Twin Grove,40.4857,-89.0993 +Burr Ridge,41.7485,-87.9198 +Tamaroa,38.1364,-89.2293 +Lily Lake,41.9517,-88.4742 +Lincolnwood,42.0054,-87.7329 +Holiday Shores,38.9226,-89.936 +Wauconda,42.2748,-88.1359 +Stanford,40.4316,-89.2206 +Preston Heights,41.4943,-88.0756 +Riverdale,41.6441,-87.6366 +Simpson,37.4673,-88.7556 +Limestone,41.1332,-87.9602 +Midland City,40.1453,-89.1337 +Robinson,39.0089,-87.733 +Addieville,38.3913,-89.4868 +Crete,41.4397,-87.6231 +Shabbona,41.7654,-88.8848 +Oakland,39.6576,-88.0273 +Warsaw,40.3509,-91.4277 +South Wilmington,41.1744,-88.2813 +Saint Jacob,38.7197,-89.7678 +Channel Lake,42.483,-88.1491 +Bluffside,38.4839,-90.1548 +Bureau,41.2892,-89.3665 +Crestwood,41.6454,-87.7396 +McCullom Lake,42.3687,-88.2967 +Prairie Grove,42.2771,-88.2697 +Genoa,42.0929,-88.6966 +La Moille,41.5301,-89.2833 +Lakewood Shores,41.2713,-88.1361 +London Mills,40.7106,-90.266 +Calvin,38.2081,-88.0186 +Harristown,39.843,-89.0615 +Chesterfield,39.2566,-90.0668 +Triumph,41.4995,-89.022 +Morrisonville,39.4217,-89.459 +Dennison,39.4609,-87.5978 +Iola,38.834,-88.6279 +Tallula,39.9457,-89.9365 +Bartonville,40.6397,-89.6608 +Fairview Heights,38.5974,-90.0053 +Gilman,40.7632,-87.9972 +Winchester,39.6298,-90.456 +Bellflower,40.3407,-88.5258 +Crystal Lawns,41.5685,-88.1638 +New Hartford,39.5756,-90.9101 +Tunnel Hill,37.5237,-88.8387 +Zion,42.4598,-87.8509 +Bellmont,38.383,-87.9106 +Hammond,39.7994,-88.5923 +Thawville,40.6734,-88.1134 +Cowden,39.2494,-88.8594 +Brownstown,38.9943,-88.9553 +West Salem,38.5197,-88.009 +North Glen Ellyn,41.892,-88.0631 +Venedy,38.3966,-89.6458 +Old Ripley,38.8927,-89.5721 +Eastwood Manor,42.3456,-88.2412 +Grandview,39.8175,-89.6181 +Energy,37.7741,-89.0246 +Tiskilwa,41.2927,-89.5085 +Del Mar Woods,42.2,-87.8551 +Strasburg,39.3497,-88.6212 +Sublette,41.6437,-89.2311 +Franklin Grove,41.8408,-89.3006 +South Pekin,40.4959,-89.6525 +Magnolia,41.114,-89.1958 +Sauget,38.5864,-90.1633 +Gages Lake,42.3519,-87.9828 +Creal Springs,37.6198,-88.8375 +Fox River Grove,42.1955,-88.2146 +Grand Detour,41.9011,-89.4137 +Shorewood,41.5175,-88.2149 +Lena,42.3784,-89.8213 +Calumet City,41.6133,-87.5502 +Millburn,42.4259,-88.004 +Belle Prairie City,38.2234,-88.5557 +Boody,39.7654,-89.0473 +Chatsworth,40.7291,-88.2977 +Glencoe,42.1347,-87.7641 +Marquette Heights,40.6183,-89.6049 +Wheaton,41.8561,-88.1083 +Long Point,41.0055,-88.8929 +Savanna,42.0904,-90.1396 +Albion,38.3767,-88.0581 +Hinckley,41.7714,-88.6397 +Balcom,37.4131,-89.2062 +Imbs,38.5237,-90.1354 +Amboy,41.729,-89.3679 +Elvaston,40.3954,-91.2493 +New Grand Chain,37.2552,-89.0165 +North Park,42.3428,-89.0521 +Freeman Spur,37.8611,-88.9993 +De Land,40.1217,-88.6432 +Annapolis,39.1454,-87.8159 +Poplar Grove,42.3516,-88.8353 +Hecker,38.3054,-89.9934 +Utica,41.3406,-89.0101 +Wedron,41.4361,-88.7734 +Ivesdale,39.9456,-88.4569 +West York,39.1689,-87.673 +Villa Park,41.8864,-87.9779 +Williamson,38.9873,-89.7644 +Eldred,39.2863,-90.554 +Clayton,40.0302,-90.9581 +Ridgway,37.7978,-88.2603 +Holiday Hills,42.2979,-88.2298 +Philo,40.0033,-88.1563 +Ringwood,42.3974,-88.3032 +Maunie,38.0354,-88.0457 +Alexis,41.0629,-90.5555 +Summerfield,38.5956,-89.75 +Schram City,39.1632,-89.4609 +Wheeling,42.1308,-87.9239 +Hooppole,41.5216,-89.914 +Fairmont,41.5613,-88.0587 +Bethalto,38.9016,-90.0472 +Kings,42.0042,-89.1059 +Wilson,42.3722,-88.1398 +Symerton,41.328,-88.0541 +Ursa,40.0741,-91.3725 +North Riverside,41.8461,-87.8263 +Esmond,42.0336,-88.9357 +Ashley,38.3289,-89.1892 +Topeka,40.3304,-89.9306 +Woodworth,40.6598,-87.8459 +Kewanee,41.2399,-89.9259 +Prairie du Rocher,38.0817,-90.0975 +Bedford Park,41.7669,-87.7915 +Lovington,39.7144,-88.6318 +Gard,38.8623,-89.9601 +Illinois City,41.3975,-90.8996 +Franklin Park,41.9361,-87.8794 +Cerro Gordo,39.8896,-88.7348 +Highwood,42.206,-87.8128 +Liberty,39.8838,-91.1084 +Chesterville,39.7034,-88.3912 +Junction,37.7233,-88.2386 +Claremont,38.7176,-87.9729 +Knollwood,42.2846,-87.8793 +Glasford,40.5726,-89.8131 +Vera,39.0342,-89.1131 +Bulpitt,39.5919,-89.4258 +Bartelso,38.5373,-89.4674 +East Peoria,40.6739,-89.5421 +Foosland,40.3611,-88.4291 +Coulterville,38.185,-89.6046 +Wilton Center,41.3514,-87.9598 +Saint Francisville,38.5919,-87.6474 +Trout Valley,42.1978,-88.2537 +Buffalo,39.8499,-89.4089 +Lake Summerset,42.4521,-89.3984 +Chebanse,41.0059,-87.9098 +Brownfield,37.3456,-88.607 +Dayton,41.3856,-88.7958 +Gilberts,42.1096,-88.3716 +Bluford,38.3256,-88.7355 +Wadsworth,42.4441,-87.9199 +Allenville,39.5587,-88.5389 +Crest Hill,41.5724,-88.1128 +Haldane,42.0625,-89.574 +Davis Junction,42.1144,-89.0898 +Gibson City,40.4665,-88.379 +Winfield,41.8776,-88.1505 +Delavan,40.3711,-89.5458 +Meadowbrook,38.8984,-90.0068 +Reevesville,37.3431,-88.7198 +Hutsonville,39.1086,-87.6607 +Mill Creek,37.341,-89.2535 +Lincoln,40.1507,-89.372 +Borton,39.6559,-87.9339 +Blue Island,41.6578,-87.6812 +Xenia,38.6372,-88.6375 +Saint Anne,41.0233,-87.7184 +Tremont,40.5249,-89.4906 +Flat Rock,38.9037,-87.6733 +Hastings,41.6811,-87.9717 +Swanwick,38.1698,-89.5362 +Glendale Heights,41.9196,-88.0784 +Auburn,39.5765,-89.7441 +Catlin,40.0675,-87.7081 +Brimfield,40.8383,-89.8836 +Lawndale,40.2181,-89.2826 +New Boston,41.1697,-91 +Sun River Terrace,41.1254,-87.7337 +Dieterich,39.0602,-88.3819 +Maple Park,41.9086,-88.6063 +Patterson,39.4806,-90.4829 +Alton,38.9033,-90.1523 +Winnebago,42.2671,-89.2338 +Matherville,41.2596,-90.6055 +Tennessee,40.4112,-90.8361 +Manlius,41.4553,-89.6685 +La Grange Park,41.8308,-87.8723 +Nokomis,39.3001,-89.2852 +Decatur,39.8556,-88.9337 +Sheridan,41.5285,-88.6789 +Worden,38.9314,-89.8404 +Aroma Park,41.0789,-87.801 +Tower Hill,39.3868,-88.9592 +Raritan,40.696,-90.8254 +Seatonville,41.3647,-89.274 +Romeoville,41.6317,-88.1 +Matteson,41.5095,-87.7468 +Stone Park,41.9033,-87.8806 +Garden Prairie,42.2534,-88.7178 +Roachtown,38.4631,-90.0409 +Loami,39.6746,-89.8476 +Sadorus,39.9669,-88.3451 +Palos Park,41.6682,-87.8885 +Cottonwood,37.8892,-88.2131 +Elco,37.3006,-89.2659 +Carbon Hill,41.297,-88.2999 +Carlyle,38.6218,-89.3733 +Paris,39.6148,-87.6904 +New Athens,38.3188,-89.8743 +Goodfield,40.6251,-89.2694 +Evergreen Park,41.7213,-87.7013 +Worth,41.6877,-87.7916 +Arenzville,39.8804,-90.3706 +Rondout,42.28,-87.8953 +Deer Creek,40.6292,-89.3314 +Homer,40.0329,-87.9578 +Norridge,41.9637,-87.8231 +Buffalo Grove,42.1673,-87.9616 +Loraine,40.1525,-91.2217 +Sammons Point,41.0309,-87.8584 +Creve Coeur,40.6422,-89.5987 +Gorham,37.7151,-89.4831 +Warrensburg,39.9318,-89.0619 +Gladstone,40.8639,-90.9568 +Chadwick,42.0142,-89.8885 +Millstadt,38.4591,-90.0837 +Floraville,38.3763,-90.0552 +Humboldt,39.6047,-88.32 +Ipava,40.3526,-90.3234 +Sullivan,39.5953,-88.6085 +Manteno,41.2505,-87.8442 +Little York,41.0107,-90.7462 +Camden,40.1528,-90.7733 +Shelbyville,39.4096,-88.8005 +Jerome,39.7677,-89.6786 +Burnham,41.6375,-87.5445 +Gulfport,40.8076,-91.0845 +Sparta,38.1513,-89.7185 +North Aurora,41.8083,-88.3413 +Wapella,40.2216,-88.9613 +Evansville,38.0889,-89.9322 +Cullom,40.8783,-88.2699 +Durand,42.4341,-89.3265 +Aurora,41.7638,-88.2901 +Macomb,40.4721,-90.6818 +Harvard,42.4297,-88.6212 +Hoffman Estates,42.0638,-88.1463 +Rockford,42.2598,-89.0641 +Waverly,39.5926,-89.9523 +Kenney,40.0979,-89.0861 +Carlinville,39.2774,-89.8762 +Anchor,40.5683,-88.5383 +Sugar Grove,41.7758,-88.448 +Round Lake Park,42.3309,-88.075 +Modesto,39.4789,-89.9803 +Campus,41.0246,-88.3074 +Lancaster,38.5478,-87.8653 +Hettick,39.3557,-90.0372 +Patton,38.477,-87.7536 +Woodson,39.6274,-90.2254 +South Chicago Heights,41.4831,-87.637 +Mount Carmel,38.419,-87.7695 +Stockland,40.6145,-87.5928 +Glen Carbon,38.7581,-89.9839 +Monmouth,40.9142,-90.6419 +Inverness,42.1153,-88.1019 +Brooklyn,38.6544,-90.1679 +Mount Prospect,42.0653,-87.937 +Mansfield,40.2121,-88.5096 +Fulton,41.8647,-90.1576 +Sunfield,38.0645,-89.2401 +Hookdale,38.8264,-89.3115 +Germantown,38.5552,-89.5412 +Benson,40.8505,-89.121 +Flora,38.6689,-88.476 +Round Lake Beach,42.3791,-88.0811 +Brocton,39.7155,-87.9335 +Wellington,40.5404,-87.6796 +Bethany,39.6445,-88.7409 +Divernon,39.5698,-89.6539 +Livingston,38.9682,-89.7642 +Richview,38.3757,-89.1805 +Saint Peter,38.8675,-88.8506 +Kampsville,39.2971,-90.6127 +Westville,40.044,-87.6389 +Atkinson,41.4154,-90.0083 +Darwin,39.2834,-87.612 +Le Roy,40.3395,-88.7629 +Staunton,39.0117,-89.7904 +Barrington Woods,42.1522,-88.0559 +Dahlgren,38.1982,-88.6846 +Mulkeytown,37.9721,-89.1111 +Alma,38.7231,-88.9119 +Forest Lake,42.2103,-88.0532 +Fox Lake Hills,42.4128,-88.1271 +Eureka,40.7147,-89.2776 +Mitchell,38.7631,-90.0814 +Whittington,38.0892,-88.9028 +Naplate,41.3323,-88.8779 +Barnhill,38.2845,-88.3642 +Farmersville,39.4427,-89.6525 +Broadwell,40.0668,-89.4428 +Cooksville,40.5425,-88.7145 +Bannockburn,42.1932,-87.8694 +Bloomington,40.4757,-88.9705 +Milford,40.6254,-87.6903 +Bellevue,40.6877,-89.6733 +Lake in the Hills,42.1913,-88.3478 +Beardstown,39.9996,-90.4181 +Summum,40.2678,-90.2785 +Victoria,41.0333,-90.0951 +Dorsey,38.9737,-90.0015 +Harmon,41.7193,-89.5562 +Country Club Hills,41.5638,-87.7246 +Washburn,40.9203,-89.2918 +Bush,37.8427,-89.1295 +Western Springs,41.8022,-87.9006 +Nelson,41.7962,-89.6036 +Olney,38.7286,-88.0841 +Jamaica,39.9911,-87.8067 +Des Plaines,42.0344,-87.9008 +Lake Fork,39.9706,-89.3501 +Wyanet,41.3606,-89.5831 +Roxana,38.8315,-90.0465 +Bull Valley,42.3223,-88.3634 +West Brooklyn,41.6928,-89.1473 +Ruma,38.1306,-90.0003 +Mason,38.9537,-88.6259 +Palatine,42.1181,-88.043 +Belvidere,42.2544,-88.8646 +McCormick,37.5506,-88.6706 +La Prairie,40.147,-91.0025 +Troy Grove,41.4657,-89.0815 +Chrisman,39.8044,-87.6752 +Heritage Lake,40.5454,-89.3309 +Bryant,40.4655,-90.0948 +Niantic,39.8544,-89.1649 +Baker,41.5556,-88.8112 +Cary,42.2128,-88.2491 +Chester,37.9199,-89.8259 +Norris City,37.9789,-88.3279 +Rushville,40.1199,-90.5666 +Darien,41.7447,-87.9823 +Aledo,41.1983,-90.7445 +Altona,41.115,-90.1648 +Roselle,41.9807,-88.0862 +Cornell,40.9922,-88.7294 +Greenville,38.8866,-89.3896 +Woodstock,42.3102,-88.4356 +Marseilles,41.3099,-88.685 +Dundas,38.835,-88.085 +Bingham,39.1122,-89.2137 +Cisne,38.5137,-88.4371 +Lawrence,42.4411,-88.6412 +Ramsey,39.1443,-89.1105 +North Henderson,41.0904,-90.4748 +Jamesburg,40.2623,-87.7489 +Mahomet,40.1884,-88.3908 +Bradford,41.1773,-89.6582 +Shipman,39.1203,-90.0452 +Detroit,39.6201,-90.676 +Lake Forest,42.238,-87.8596 +North Chicago,42.3172,-87.8596 +Tovey,39.5883,-89.4486 +Highland,38.7605,-89.6808 +Pingree Grove,42.0857,-88.4362 +Buffalo Prairie,41.3384,-90.8549 +Golf,42.0586,-87.785 +Pittwood,40.8609,-87.7295 +Armington,40.3398,-89.3143 +Hebron,42.4646,-88.4343 +Monroe Center,42.1005,-88.9944 +Coleta,41.9027,-89.8002 +East Brooklyn,41.1726,-88.2662 +Rockbridge,39.2693,-90.2066 +Central City,38.5483,-89.1284 +Papineau,40.9673,-87.7161 +Cortland,41.9255,-88.6794 +Grayslake,42.3405,-88.0339 +Mount Clare,39.1002,-89.8254 +Greenup,39.2483,-88.1599 +Geneva,41.8833,-88.3243 +Collison,40.225,-87.8039 +Prestbury,41.7847,-88.4225 +Vergennes,37.9013,-89.3398 +Minonk,40.9104,-89.0381 +Banner,40.5126,-89.9156 +Jacksonville,39.7292,-90.232 +Milton,39.5645,-90.6502 +Lost Nation,41.9124,-89.3689 +Barrington,42.1515,-88.1281 +Fox Lake,42.4238,-88.1843 +Kincaid,39.5868,-89.4166 +Steward,41.8493,-89.0149 +Payson,39.8171,-91.2444 +Winthrop Harbor,42.4805,-87.8291 +O'Fallon,38.5976,-89.9156 +Olive Branch,37.1755,-89.3518 +Dover,41.434,-89.3959 +Abingdon,40.8039,-90.4009 +Girard,39.4466,-89.7821 +Cabery,40.9958,-88.2037 +Vermilion,39.58,-87.5877 +Weldon,40.1216,-88.7496 +Elwood,41.4072,-88.1273 +Joy,41.1969,-90.8788 +Oreana,39.9369,-88.8695 +Earlville,41.588,-88.9229 +Pine Mountain Valley,32.7987,-84.8233 +Blackwells,33.9948,-84.518 +Godwinsville,32.1357,-83.1271 +Madras,33.4401,-84.7422 +Milner,33.1178,-84.1926 +Eatonton,33.3258,-83.3886 +Bushnell,31.5602,-82.9599 +Richland,32.0885,-84.6625 +Edison,31.5608,-84.7374 +Faceville,30.7532,-84.6399 +Lookout Mountain,34.9664,-85.3622 +Plainville,34.4053,-85.0312 +Blakely,31.3827,-84.9228 +Cadley,33.5337,-82.6596 +Fort Valley,32.5521,-83.8819 +Sumner,31.5103,-83.7369 +Appling,33.5588,-82.3183 +Eulonia,31.5333,-81.427 +Rayle,33.7902,-82.9031 +Lake City,33.6064,-84.3411 +Ephesus,33.407,-85.2596 +Buford,34.1185,-83.9917 +Payne,32.8519,-83.6794 +Ranger,34.5012,-84.7111 +Richmond Hill,31.9203,-81.3124 +Tallulah Falls,34.7258,-83.3816 +Modoc,32.6557,-82.3093 +Normantown,32.3063,-82.3696 +Atlanta,33.7626,-84.4228 +Potterville,32.5146,-84.1174 +Uvalda,32.0371,-82.508 +Holland,34.352,-85.3725 +Montrose,32.5595,-83.1535 +Noonday,34.062,-84.5213 +Lakeland,31.041,-83.0748 +McKinnon,31.4252,-81.9268 +Boykin,31.1017,-84.6848 +Gloster,33.9098,-84.0652 +Haddock,33.0326,-83.4291 +Veal,33.4359,-85.2302 +Mount Bethel,33.9662,-84.4113 +Vesta,33.9565,-82.9385 +Hagan,32.1536,-81.9305 +Jersey,33.7177,-83.8001 +Union Point,33.6177,-83.0756 +Dickey,31.5571,-84.6602 +Rentz,32.3835,-82.9917 +Pitts,31.9462,-83.5418 +Arabi,31.8282,-83.7302 +Lakeview,34.9777,-85.2539 +Arnoldsville,33.9103,-83.218 +White Sulphur Springs,32.9079,-84.8033 +Godfrey,33.4535,-83.5049 +Moxley,32.9196,-82.3912 +Pineview,32.1084,-83.503 +Sugar Hill,34.1082,-84.056 +Rex,33.5921,-84.2699 +Deenwood,31.2477,-82.3677 +Flemington,31.8506,-81.5604 +Barwick,30.8933,-83.7391 +Howard,32.5982,-84.3786 +Coosa,34.2545,-85.3544 +Allentown,32.5855,-83.2273 +Crawfordville,33.5545,-82.8965 +Satolah,34.9904,-83.1929 +Durand,32.9171,-84.7738 +Swainsboro,32.5866,-82.3345 +Collins,32.1793,-82.1103 +Abbeville,31.9925,-83.3068 +Townsend,31.5394,-81.5226 +Morganville,34.9365,-85.4536 +Tunnel Hill,34.8477,-85.0408 +Martinez,33.5209,-82.0985 +Waleska,34.3171,-84.5505 +Saint Marks,33.1254,-84.821 +Cherry Log,34.7864,-84.3839 +Walnut Grove,33.7455,-83.8503 +Gum Branch,31.8368,-81.6839 +Avera,33.1934,-82.5288 +Hamilton,32.7648,-84.8752 +Enigma,31.4076,-83.329 +Henderson,32.3413,-83.7893 +Wrens,33.2069,-82.3878 +Rock Spring,34.8242,-85.2427 +West Green,31.613,-82.7346 +Winokur,31.0383,-82.0201 +Gracewood,33.3726,-82.0321 +Toccoa,34.5807,-83.3256 +North Druid Hills,33.8182,-84.3255 +Sylvester,31.53,-83.8338 +Dixie Union,31.3394,-82.4632 +Cedartown,34.0224,-85.248 +Crabapple,34.0901,-84.3385 +Rest Haven,34.1337,-83.976 +Calvary,30.7225,-84.3541 +Newton,31.3172,-84.3376 +Wrightsville,32.7265,-82.7197 +Hoboken,31.1813,-82.1313 +Oakdale,33.8187,-84.4977 +Gibson,33.2334,-82.5959 +Webb,34.0973,-84.2594 +Cochran,32.3875,-83.3523 +Lyons,32.2052,-82.3215 +Moultrie,31.1592,-83.7708 +Vernonburg,31.9638,-81.1257 +Grayson,33.89,-83.9574 +Milledgeville,33.0874,-83.2414 +Baldwin,34.4864,-83.5493 +Metter,32.3959,-82.0625 +Pooler,32.1043,-81.2568 +Dexter,32.4331,-83.0595 +Coal Mountain,34.2715,-84.1007 +Tarboro,31.0177,-81.8054 +Haralson,33.2285,-84.569 +Emory,33.789,-84.3208 +Chicopee,34.2534,-83.8435 +Canton,34.2469,-84.4902 +Claxton,32.1614,-81.9094 +Vidalia,32.2134,-82.4035 +Acree,31.5555,-83.996 +Lincoln Park,32.8674,-84.3348 +Weber,31.2371,-83.1399 +Acworth,34.0565,-84.6708 +Ashburn,31.7096,-83.6528 +Hazlehurst,31.8651,-82.5994 +Buena Vista,32.3188,-84.5177 +Johns Creek,34.0333,-84.2027 +Hortense,31.3366,-81.9562 +Mountain View,33.6418,-84.3902 +Whigham,30.8845,-84.3247 +Tiger,34.8458,-83.433 +Cadwell,32.3396,-83.042 +Valdosta,30.8503,-83.2789 +Guyton,32.341,-81.4226 +Dames Ferry,33.0221,-83.7249 +Towns,32.0043,-82.7546 +Springvale,31.8282,-84.8796 +Junction City,32.6032,-84.4573 +Shellman Bluff,31.5727,-81.3232 +Irwinton,32.8108,-83.1737 +Chatsworth,34.7808,-84.7835 +Vinings,33.8608,-84.4686 +Gumlog,34.4953,-83.0975 +Hatley,31.8993,-83.6132 +Doles,31.6993,-83.8852 +Lavonia,34.4345,-83.1082 +Huber,32.7043,-83.5563 +Norcross,33.9378,-84.2065 +Morrow,33.5816,-84.3391 +Emerson,34.1303,-84.7485 +Millhaven,32.9338,-81.6496 +Byron,32.6475,-83.754 +Statesboro,32.4376,-81.775 +Shingler,31.5782,-83.7846 +Glennville,31.9382,-81.9305 +Tyrone,33.4755,-84.594 +Culverton,33.3085,-82.8951 +Stovall,32.961,-84.8519 +Elmodel,31.3457,-84.4724 +Round Oak,33.111,-83.6152 +Dunwoody,33.9418,-84.3122 +Hartwell,34.3501,-82.9287 +Excelsior,32.3135,-81.966 +Centerville,32.6341,-83.6853 +Zebulon,33.0944,-84.3424 +Sharon,33.5601,-82.7949 +Denton,31.7221,-82.6968 +Wayside,33.0612,-83.6049 +Coolidge,31.0113,-83.866 +Donalsonville,31.0404,-84.8792 +Gordy,31.4805,-83.8799 +Peachtree City,33.3943,-84.5711 +Calhoun,34.4927,-84.9395 +Inman,33.3854,-84.4119 +Whitesburg,33.4928,-84.9137 +Chauncey,32.1059,-83.0645 +Chula,31.5496,-83.5474 +Cornelia,34.5164,-83.5308 +Coleman,31.6716,-84.8902 +Ellijay,34.6912,-84.484 +Cataula,32.6554,-84.8685 +Williamson,33.1782,-84.36 +Raymond,33.3387,-84.7147 +Phelps,34.6981,-84.9833 +Gresham Park,33.7053,-84.3155 +Locust Grove,33.3436,-84.1067 +Remerton,30.8441,-83.3086 +Clayton,34.8775,-83.4019 +Carrollton,33.5818,-85.0837 +Chickamauga,34.8744,-85.289 +Summerville,34.4788,-85.3491 +Ohoopee,32.1802,-82.2196 +Ellaville,32.238,-84.3089 +Byromville,32.2018,-83.9073 +Alpharetta,34.0704,-84.2739 +Tarrytown,32.3187,-82.5595 +Apalachee,33.6865,-83.431 +Talbotton,32.6773,-84.5406 +Willacoochee,31.3358,-83.0446 +Snellville,33.856,-84.0038 +Sumac,34.8837,-84.7994 +East Ellijay,34.6759,-84.476 +Barnesville,33.0511,-84.1526 +Pine Mountain,32.8524,-84.8531 +Duluth,34.0054,-84.1493 +Braselton,34.1086,-83.8126 +Howell,30.8277,-83.0538 +Sea Island,31.1836,-81.3498 +Martin,34.4856,-83.1984 +Oak Park,32.3822,-82.3153 +Ellenwood,33.6101,-84.288 +Starrs Mill,33.3273,-84.5124 +Baden,30.7174,-83.5652 +Habersham,34.5898,-83.5605 +Elko,32.331,-83.7063 +Leslie,31.9545,-84.0864 +Horns,32.6754,-84.0035 +Whitesville,32.8176,-85.0313 +Loganville,33.8353,-83.8957 +Lithonia,33.7128,-84.106 +Resaca,34.5789,-84.944 +McKinney,32.926,-84.2919 +Pinehurst,32.1955,-83.7596 +Barney,31.0082,-83.5129 +Rosier,32.9782,-82.2426 +Arlington,31.4383,-84.7253 +Eagle Grove,34.2918,-83.0043 +Roper,31.8121,-82.6515 +Twin Lakes,30.696,-83.2057 +Dudley,32.5321,-83.0805 +Montgomery,31.9438,-81.1081 +Covington,33.6049,-83.8465 +Braswell,33.9836,-84.9591 +Odessadale,33.016,-84.813 +Bellville,32.1526,-81.9743 +Indian Springs,34.9606,-85.1592 +White,34.2825,-84.7472 +Pine Park,30.8513,-84.1018 +Brookfield,31.4185,-83.391 +Bluffton,31.5198,-84.8691 +Waverly,31.0958,-81.7226 +Watkinsville,33.8613,-83.4073 +Porterdale,33.5742,-83.8942 +Ray City,31.0756,-83.1969 +Epworth,34.951,-84.3808 +Lumpkin,32.0487,-84.7981 +Monticello,33.3076,-83.6861 +Brooks,33.2925,-84.4588 +Wesley,32.4835,-82.331 +Marietta,33.9532,-84.5421 +Doyle,32.2843,-84.4438 +Tallapoosa,33.7335,-85.2859 +Helen,34.7044,-83.7201 +Jonesboro,33.5212,-84.3541 +Hartford,32.2857,-83.4491 +Winterville,33.9666,-83.2815 +Leesburg,31.7325,-84.1687 +Rutledge,33.6263,-83.6112 +Blythe,33.3011,-82.2025 +Stapleton,33.217,-82.4672 +Raoul,34.4549,-83.5995 +Register,32.3657,-81.8845 +Augusta,33.3645,-82.0708 +Oak Grove,34.092,-84.6152 +Palmetto,33.5311,-84.6678 +Rome,34.2662,-85.1862 +Woodstock,34.1027,-84.5086 +Broxton,31.6248,-82.8877 +Starrsville,33.5396,-83.8193 +Brookhaven,33.8746,-84.3314 +Blackshear,31.299,-82.2429 +Stillwell,32.378,-81.2504 +Sasser,31.7199,-84.3478 +Phillipsburg,31.4389,-83.5203 +Hogansville,33.1675,-84.9028 +Hutchins,33.8418,-83.1679 +Savannah,32.0282,-81.1786 +Mershon,31.4641,-82.2573 +Argyle,31.0732,-82.6489 +Dillard,34.9749,-83.382 +Potter,30.6469,-82.9332 +Plainfield,32.2888,-83.1121 +Seville,31.9607,-83.6012 +Bancroft,31.4149,-84.8399 +Milan,32.0194,-83.0631 +Rockmart,34.0103,-85.0441 +Council,30.6141,-82.511 +Groveland,32.1444,-81.7457 +White Oak,31.0313,-81.7304 +Darien,31.3568,-81.4314 +Talmo,34.1832,-83.721 +Rhine,31.9891,-83.2 +Sparks,31.1693,-83.4405 +Canon,34.3455,-83.1107 +Bartow,32.8816,-82.4713 +Mountain City,34.9196,-83.3854 +McRae,32.068,-82.9007 +Jefferson,34.1364,-83.6021 +Six Mile,34.1773,-85.2063 +Mora,31.4141,-82.9538 +Sunset Village,32.8946,-84.4057 +Stonecrest,33.6843,-84.1373 +Funston,31.1989,-83.8771 +Meansville,33.0509,-84.3083 +Elizabeth,33.9762,-84.5474 +Good Hope,33.785,-83.6095 +Clyo,32.4841,-81.2671 +Attapulgus,30.7495,-84.4839 +Zebina,33.1646,-82.3537 +Halfmoon Landing,31.6997,-81.2784 +Juliette,33.1074,-83.8002 +Snapfinger,33.6871,-84.2016 +Carnesville,34.372,-83.2344 +Kennesaw,34.0262,-84.6177 +Bostwick,33.7378,-83.515 +Bloomingdale,32.125,-81.3077 +Commerce,34.2129,-83.4729 +Isle of Hope,31.9848,-81.0532 +Flippen,33.4832,-84.1874 +Hoschton,34.0934,-83.7617 +Mableton,33.8132,-84.5656 +Fowlstown,30.8027,-84.5471 +Benevolence,31.8818,-84.7346 +Glen Haven,33.744,-84.218 +Hinesville,31.8247,-81.6135 +Ivey,32.9092,-83.2983 +Aragon,34.0459,-85.0572 +Pelham,31.1267,-84.1514 +Fair Oaks,33.9193,-84.5444 +Raines,31.891,-83.8643 +Port Wentworth,32.1942,-81.1984 +Evans,33.5619,-82.1351 +Boston,30.792,-83.7899 +Centralhatchee,33.3689,-85.1037 +Jesup,31.5991,-81.8898 +Fairburn,33.5497,-84.5914 +Ocilla,31.5987,-83.2499 +Summertown,32.7458,-82.2763 +Folkston,30.8392,-82.0073 +Winder,33.9917,-83.7218 +Shellman,31.7571,-84.6159 +Lyerly,34.4035,-85.4041 +Colemans Lake,32.821,-82.2751 +Pine Lake,33.7904,-84.206 +Daisy,32.151,-81.8362 +Swords,33.5443,-83.3068 +Cobbtown,32.2806,-82.1387 +Louvale,32.1752,-84.8252 +Dacula,33.9815,-83.8951 +Stockbridge,33.5264,-84.2293 +Fort Oglethorpe,34.9318,-85.246 +Grantville,33.2371,-84.8293 +Hollywood,34.6495,-83.4474 +Halls,34.2984,-84.9399 +Moniac,30.5183,-82.2251 +Sparta,33.2767,-82.9704 +Leathersville,33.7168,-82.4398 +Jeffersonville,32.6863,-83.3433 +Parrott,31.8944,-84.5118 +Matthews,33.2176,-82.3079 +Rebecca,31.8073,-83.4876 +Lake Park,30.6852,-83.1875 +Alexander,33.0221,-81.8768 +Davisboro,32.9826,-82.6032 +Knoxville,32.7232,-83.9961 +Almon,33.6193,-83.9221 +Withers,30.8549,-82.9032 +Doerun,31.3218,-83.9171 +Hayneville,32.3835,-83.6207 +Royston,34.2859,-83.1097 +Rising Fawn,34.7601,-85.5311 +Waycross,31.2108,-82.358 +Trion,34.548,-85.3108 +Bemiss,30.9333,-83.2413 +Arco,31.2013,-81.5062 +Rocky Mount,33.1654,-84.6733 +Adgateville,33.2232,-83.671 +Musella,32.7979,-84.0321 +Flowery Branch,34.1712,-83.9141 +Unadilla,32.2583,-83.7356 +Auburn,34.0151,-83.8317 +Ramhurst,34.6981,-84.7308 +Douglasville,33.7384,-84.7074 +Shiloh,32.812,-84.699 +Cecil,31.0466,-83.3906 +Van Wert,33.9873,-85.0433 +The Rock,32.9635,-84.2378 +Americus,32.0736,-84.2249 +Waring,34.8345,-84.9713 +Ailey,32.1882,-82.5699 +Farmington,33.7762,-83.4235 +Bolingbroke,32.9493,-83.8032 +New Hope,33.9582,-84.7894 +Lovett,32.6382,-82.7676 +Bullard,32.6304,-83.4971 +Meinhard,32.1816,-81.2109 +Chamblee,33.8842,-84.3008 +Wadley,32.8663,-82.4014 +Reno,30.7738,-84.2921 +Putney,31.4756,-84.101 +Renfroe,32.2327,-84.7124 +Crawford,33.8831,-83.1552 +Mount Airy,34.5219,-83.4975 +Doctortown,31.6535,-81.8293 +Patterson,31.3854,-82.1375 +Unionville,31.4363,-83.5084 +Moreland,33.2861,-84.7699 +Linwood,34.7129,-85.2891 +Fortsonia,34.0151,-82.779 +Chalybeate Springs,32.8568,-84.5802 +Emmalane,32.7599,-81.9982 +Satilla,31.7921,-82.564 +Dawesville,30.9224,-84.0091 +Toomsboro,32.8224,-83.0826 +Silk Hope,32.043,-81.1918 +Orchard Hill,33.1851,-84.2123 +Pridgen,31.6969,-82.9229 +Omega,31.3389,-83.595 +Decatur,33.7711,-84.2968 +Munnerlyn,32.9535,-81.9621 +Canoochee,32.6786,-82.1786 +Millwood,31.2658,-82.6604 +Scottdale,33.795,-84.2634 +Sycamore,31.6711,-83.6352 +Highland Mills,33.2779,-84.2827 +Higgston,32.2164,-82.467 +Mechanicsville,33.9276,-84.2424 +Lumber City,31.933,-82.6828 +Manassas,32.1603,-82.02 +Hilltop,33.1063,-84.4383 +Reed Creek,34.4395,-82.9103 +Leland,33.8123,-84.5588 +Arnold Mill,34.1176,-84.388 +Comer,34.0625,-83.1263 +Warthen,33.1021,-82.8037 +Hannahs Mill,32.9369,-84.3405 +Saint George,30.5211,-82.0376 +Alston,32.081,-82.4789 +Elberton,34.1064,-82.8705 +Kingston,34.232,-84.9445 +Union City,33.5939,-84.5629 +Grovetown,33.4503,-82.2076 +Newborn,33.5163,-83.6959 +Garfield,32.6495,-82.0962 +Barretts,31.0016,-83.1993 +Monroe,33.7992,-83.7162 +Country Club Estates,31.2114,-81.4622 +Maysville,34.2557,-83.5528 +Rupert,32.4404,-84.2799 +Reynolds,32.5607,-84.0943 +Bishop,33.8171,-83.4372 +Lincolnton,33.7931,-82.4776 +Poulan,31.5145,-83.7898 +DeWitt,31.4199,-84.1399 +Shawnee,32.4757,-81.4082 +Cordele,31.9563,-83.7694 +Gabbettville,32.9446,-85.1333 +Colbert,34.037,-83.2139 +McDonough,33.4398,-84.1508 +Center Post,34.6081,-85.353 +Screven,31.484,-82.0171 +Newnan,33.3763,-84.7758 +Lilly,32.1465,-83.8775 +Kirkland,31.3083,-82.9082 +Dasher,30.7462,-83.2253 +Tucker,33.8436,-84.202 +Blairsville,34.8761,-83.9548 +Dover,32.5771,-81.7151 +Brookwood,34.0951,-84.1766 +Hull,34.0155,-83.2939 +Tybee Island,32.01,-80.8527 +Berlin,31.0683,-83.6236 +Pine Log,34.3429,-84.7322 +Upatoi,32.5488,-84.7399 +Newtown,34.0212,-84.2699 +DeSoto,31.9548,-84.0636 +Mount Zion,33.6408,-85.18 +Naylor,30.9088,-83.0782 +Powder Springs,33.866,-84.6838 +Homer,34.335,-83.4987 +Pembroke,32.1456,-81.6187 +Westoak,33.9879,-84.5316 +Fitzgerald,31.7135,-83.2515 +Dublin,32.5357,-82.9279 +Lexington,33.8701,-83.1102 +Bremen,33.7086,-85.1498 +Axson,31.2763,-82.7343 +Sunny Side,33.342,-84.2912 +Cohutta,34.9538,-84.9594 +Woodville,33.6714,-83.1064 +McCaysville,34.9811,-84.3708 +Midway,31.8004,-81.4191 +Warner Robins,32.598,-83.6528 +Young Harris,34.9355,-83.8471 +Offerman,31.4088,-82.1132 +Siloam,33.5366,-83.0812 +Reeves,34.4615,-85.0127 +Buchanan,33.803,-85.1803 +Concord,33.0918,-84.4384 +Washington,33.7355,-82.7426 +Colquitt,31.1741,-84.7319 +Tilton,34.6651,-84.9394 +Warrenton,33.4067,-82.6653 +Manchester,32.8566,-84.6329 +Blue Ridge,34.8664,-84.3218 +Dalton,34.7689,-84.9711 +Sandy Springs,33.9366,-84.3703 +Tazewell,32.3804,-84.4408 +White Plains,33.4807,-83.0372 +Dawsonville,34.4361,-84.1242 +Jackson,33.2913,-83.968 +Campton,33.8718,-83.7202 +Holly Springs,34.1681,-84.4848 +Grovania,32.366,-83.6632 +Aldora,33.0508,-84.1759 +Silco,30.8683,-81.8309 +Villa Rica,33.7305,-84.917 +Keithsburg,34.2745,-84.4516 +Waverly Hall,32.6837,-84.7378 +Butler,32.557,-84.2377 +Midville,32.8218,-82.2347 +Evansville,33.0662,-85.2241 +Russell,33.9797,-83.6922 +Merrillville,30.9491,-83.8799 +Saint Clair,33.151,-82.2179 +Taylorsville,34.086,-84.9876 +Avondale Estates,33.7699,-84.2648 +Helena,32.0738,-82.9146 +Osierfield,31.6671,-83.116 +Rincon,32.2946,-81.2354 +Lakeview Estates,33.7046,-84.0367 +Windsor Forest,31.9766,-81.1323 +Sharpsburg,33.3372,-84.6505 +Chattahoochee Hills,33.5605,-84.7512 +Cogdell,31.1649,-82.7179 +McIntyre,32.8466,-83.2011 +Rocky Ford,32.6636,-81.8297 +Druid Hills,33.7878,-84.3262 +Yatesville,32.9133,-84.1423 +Oglethorpe,32.2935,-84.0623 +Hiawassee,34.9501,-83.7529 +Danielsville,34.1238,-83.2201 +Edgehill,33.1534,-82.625 +Mount Carmel,34.6629,-85.31 +Sky Valley,34.984,-83.3314 +Big Creek,34.1165,-84.1752 +Friendship,32.1502,-84.4213 +Gillsville,34.3093,-83.6382 +Marshallville,32.4564,-83.9407 +Gay,33.0936,-84.5755 +Suwanee,34.0506,-84.0687 +Talking Rock,34.5279,-84.494 +Devereux,33.2221,-83.0735 +Deepstep,33.0177,-82.968 +Thomson,33.4666,-82.4992 +North Decatur,33.8073,-84.2889 +Smithville,31.9013,-84.2552 +Needmore,30.6791,-82.7115 +Chattanooga Valley,34.9241,-85.3431 +Luthersville,33.2096,-84.7442 +Dawson,31.7721,-84.4437 +Graham,31.8292,-82.503 +Cotton,31.1616,-84.0668 +La Grange,33.0276,-85.0383 +Riddleville,32.9069,-82.6661 +Lenox,31.2672,-83.4673 +Forest Park,33.6209,-84.359 +Austell,33.8202,-84.6453 +Oakman,34.5665,-84.7083 +Richwood,32.0418,-83.7863 +Dallas,33.9153,-84.8416 +Fortson,32.6071,-84.9372 +Oliver,32.5214,-81.5331 +Powelton,33.4287,-82.8707 +Carnegie,31.6429,-84.7791 +Clarkdale,33.8309,-84.6497 +Smarr,32.9854,-83.8821 +Senoia,33.3093,-84.5547 +Riverside,31.1802,-83.8063 +Turin,33.326,-84.6371 +Cedar Springs,31.1873,-85.0324 +Peachtree Corners,33.967,-84.2319 +Metcalf,30.7002,-83.9879 +Mendes,31.9953,-81.9709 +Louise,33.084,-84.9358 +Brooklyn,32.1738,-84.7085 +Baxley,31.7642,-82.3508 +Mansfield,33.5179,-83.7348 +Carl,34.0046,-83.8128 +Redan,33.7393,-84.1644 +Queensland,31.7991,-83.2363 +Waynesboro,33.0909,-82.0146 +Alapaha,31.3832,-83.2237 +Pittman,33.972,-84.1696 +Allenhurst,31.7839,-81.6078 +Leary,31.4847,-84.5133 +Oakland Heights,34.2123,-84.7952 +Center,34.0559,-83.4193 +Montezuma,32.2997,-84.0246 +Ocee,34.0645,-84.2127 +Clermont,34.4781,-83.773 +Ducktown,34.244,-84.2494 +Macland,33.9023,-84.6724 +Corinth,33.2301,-84.9455 +Franklin Springs,34.284,-83.1459 +Marlow,32.2691,-81.3907 +Mayfield,33.3551,-82.8007 +Kingsland,30.8193,-81.7219 +Douglas,31.5073,-82.8543 +Whitemarsh Island,32.0305,-81.0109 +Fayetteville,33.45,-84.4708 +Free Home,34.2387,-84.2888 +Ringgold,34.9137,-85.1216 +Bowdon Junction,33.6632,-85.1469 +Bonaire,32.5438,-83.596 +Hickox,31.1505,-81.9965 +Rossville,34.9747,-85.2898 +Sandy Plains,34.0132,-84.4955 +Dewy Rose,34.1681,-82.9395 +Belvedere Park,33.7488,-84.2598 +Eton,34.8277,-84.7661 +Salem,32.7588,-84.1933 +Bethlehem,33.9372,-83.7097 +Harrison,32.8263,-82.7258 +Cleveland,34.5971,-83.7622 +Tignall,33.8674,-82.742 +East Newnan,33.3461,-84.7763 +Doraville,33.9073,-84.2711 +Shannon,34.3406,-85.0854 +Culloden,32.8632,-84.094 +Bronwood,31.8306,-84.3643 +Graysville,34.9765,-85.1413 +Turnerville,34.6868,-83.426 +Primrose,33.1435,-84.7419 +Mineral Bluff,34.914,-84.2776 +Danville,32.606,-83.246 +Athens,33.9508,-83.3689 +Morganton,34.8749,-84.2442 +Pulaski,32.3904,-81.9566 +Atkinson,31.2233,-81.8526 +Rochelle,31.9488,-83.4568 +Pearson,31.297,-82.8544 +East Griffin,33.2439,-84.2318 +Beach,31.4399,-82.5037 +Cumming,34.2066,-84.1337 +Hawkinsville,32.2964,-83.4814 +Lizella,32.8071,-83.8199 +Georgetown,31.8846,-85.1074 +Odum,31.6665,-82.027 +Pavo,30.9597,-83.738 +Luke,31.338,-85.0002 +Nashville,31.205,-83.2487 +Campbellton,33.6504,-84.6694 +Lovejoy,33.4419,-84.3176 +Iron City,31.0136,-84.8133 +Bowersville,34.3727,-83.0831 +East Juliette,33.1087,-83.7924 +LaFayette,34.7089,-85.2814 +Fairview,34.9296,-85.294 +Garden City,32.0867,-81.1773 +Oxford,33.6277,-83.8721 +Dock Junction,31.2031,-81.5156 +Waco,33.7026,-85.1893 +Skidaway Island,31.9372,-81.0449 +Hardwick,33.0523,-83.244 +Homerville,31.0385,-82.7421 +Lithia Springs,33.781,-84.6484 +Brewton,32.5938,-82.7979 +Alma,31.5432,-82.4745 +Ila,34.1729,-83.2929 +Cox,31.4552,-81.5634 +Euharlee,34.1441,-84.9327 +Reidsville,32.0871,-82.1244 +Morris,31.7943,-84.9463 +Raleigh,32.9368,-84.6363 +Menlo,34.4835,-85.4776 +Mitchell,33.2199,-82.7031 +Buckhead,33.5685,-83.3623 +Hampton,33.3836,-84.2855 +Clarkston,33.8117,-84.2405 +Juniper,32.5313,-84.6044 +Riceboro,31.7264,-81.4438 +Smyrna,33.8633,-84.5168 +Broadhurst,31.4741,-81.9173 +Perkins,32.9149,-81.949 +Wilmington Island,32.0036,-80.9752 +Carsonville,32.7132,-84.2896 +Carlton,34.0427,-83.0387 +Millen,32.8071,-81.9423 +Lula,34.3952,-83.6652 +Jerusalem,30.9783,-81.8457 +East Dublin,32.5477,-82.8688 +Gordon,32.8866,-83.3349 +Albany,31.5776,-84.1762 +Griffin,33.2418,-84.2747 +Sapelo Island,31.3974,-81.2787 +Pineora,32.2869,-81.3915 +Conyers,33.6645,-83.9967 +Woodland,32.7877,-84.5606 +Sigsbee,31.2652,-83.8593 +Sargent,33.4323,-84.8694 +Saint Marys,30.7567,-81.5722 +Haylow,30.826,-82.9051 +Ellabell,32.1235,-81.4857 +Flovilla,33.2524,-83.903 +Johnson Corner,32.0652,-82.3012 +Sirmans,31.0813,-82.9693 +Sterling,31.2724,-81.5615 +Clarkesville,34.6103,-83.5284 +Milford,31.3818,-84.5435 +Harlem,33.4154,-82.3139 +Stone Mountain,33.8034,-84.1724 +Statham,33.9646,-83.6025 +Draketown,33.8262,-85.0441 +Spring Place,34.7581,-84.8211 +Woolsey,33.3627,-84.4112 +Norman Park,31.2692,-83.6843 +Warm Springs,32.8853,-84.6766 +Lilburn,33.8887,-84.1379 +Cartersville,34.1632,-84.8007 +Tarver,30.7016,-82.9243 +Alto,34.4652,-83.5727 +Roberta,32.7196,-84.0104 +Woodbine,30.9595,-81.7175 +Brinson,30.9784,-84.7379 +Bowman,34.2051,-83.0309 +James,32.9665,-83.4738 +Adairsville,34.3703,-84.9214 +Sardis,32.9756,-81.7621 +Alamo,32.1469,-82.7798 +Nelson,34.379,-84.3708 +Tate City,34.9789,-83.554 +Gough,33.0918,-82.2265 +Bowdon,33.5378,-85.2539 +Baconton,31.3804,-84.1592 +Social Circle,33.6505,-83.7116 +Cisco,34.9512,-84.7363 +Kite,32.6921,-82.5136 +Molena,33.0119,-84.5001 +Elliotts Bluff,30.8458,-81.5615 +Dahlonega,34.5302,-83.9796 +Belmont,33.7234,-84.1663 +Louisville,32.9954,-82.4 +Jacksonville,31.8126,-82.979 +Sylvania,32.7465,-81.641 +Shady Dale,33.4007,-83.5883 +Jasper,34.4711,-84.4494 +Cairo,30.879,-84.2051 +Dakota,31.776,-83.6932 +South Fulton,33.6015,-84.5505 +Brooklet,32.3898,-81.6668 +Hiltonia,32.8833,-81.6613 +Lakemont,34.782,-83.4163 +Alvaton,33.171,-84.5805 +Perry,32.4714,-83.7283 +Wenona,31.9055,-83.7668 +Walthourville,31.7716,-81.6218 +Arcade,34.0694,-83.54 +Warwick,31.8298,-83.9206 +Topeka Junction,32.9746,-84.2085 +Sumter,31.9493,-84.2549 +Andersonville,32.1965,-84.1454 +Gainesville,34.2901,-83.8301 +Plains,32.0331,-84.3946 +Bonanza,33.4587,-84.3373 +Between,33.8178,-83.8042 +Fargo,30.6881,-82.5721 +Griswoldville,32.8707,-83.4888 +East Point,33.6696,-84.47 +Piedmont,33.0171,-84.2508 +Meridian,31.4519,-81.3779 +Vienna,32.0925,-83.7864 +Chestnut Mountain,34.1726,-83.838 +College Park,33.637,-84.4629 +Dooling,32.23,-83.9289 +Gardi,31.5383,-81.7982 +Hiram,33.877,-84.771 +Temple,33.7342,-85.0289 +Oconee,32.8534,-82.9577 +Charing,32.4615,-84.3616 +Irwinville,31.6482,-83.3827 +Sugar Valley,34.5581,-85.0119 +Vidette,33.0376,-82.2475 +Oakfield,31.778,-83.9713 +Brunswick,31.145,-81.474 +Gray,33.0023,-83.5376 +Dearing,33.4149,-82.3852 +Sandersville,32.9827,-82.8093 +Nicholson,34.1172,-83.4289 +Columbus,32.51,-84.8771 +Burroughs,31.9749,-81.2476 +Waresboro,31.248,-82.4737 +Chester,32.3945,-83.1551 +Forsyth,33.0347,-83.938 +Saint Simons,31.1774,-81.3857 +Philomath,33.7273,-82.9913 +Santa Claus,32.1712,-82.3298 +Macon,32.8407,-83.6324 +Newington,32.5888,-81.5063 +West Point,32.8949,-85.1458 +Madison,33.579,-83.4758 +Tennille,32.9359,-82.8134 +Stillmore,32.441,-82.2144 +Ochlocknee,30.9752,-84.0517 +Esom Hill,33.949,-85.3877 +Oglesby,34.0757,-82.9671 +Nicholls,31.5191,-82.6386 +Eldorendo,31.0441,-84.6519 +Nahunta,31.2065,-81.9814 +Red Oak,33.6248,-84.4985 +Camak,33.4526,-82.6463 +Cusseta,32.347,-84.787 +North Atlanta,33.8651,-84.3366 +Skipperton,32.7438,-83.6924 +Bridgeboro,31.4016,-83.9749 +Blitchton,32.1971,-81.4379 +Pendergrass,34.1647,-83.6827 +Meigs,31.0713,-84.0922 +Du Pont,30.9891,-82.8691 +Nunez,32.492,-82.3466 +Scotland,32.0472,-82.818 +Greenville,33.0322,-84.7163 +Linton,33.1165,-82.9926 +Ruckersville,34.1648,-82.7882 +Experiment,33.2789,-84.276 +Arcola,32.3435,-81.6021 +Berkeley Lake,33.9806,-84.1839 +Thomasville,30.8394,-83.9782 +Tifton,31.4625,-83.5205 +Penfield,33.6673,-83.1774 +Eldorado,31.3538,-83.4854 +Statenville,30.7033,-83.0276 +Garden Lakes,34.2879,-85.2316 +Floyd,33.847,-84.5855 +Sunnyside,31.2406,-82.3411 +Portal,32.5383,-81.9297 +Stewart,33.4221,-83.8521 +Ludowici,31.7097,-81.7457 +Herod,31.6988,-84.4413 +Ambrose,31.5944,-83.0138 +Jenkinsburg,33.3228,-84.0384 +Norwood,33.4626,-82.7055 +Trenton,34.8741,-85.5096 +Lindale,34.1884,-85.1808 +Maxeys,33.7555,-83.1737 +Ellenton,31.176,-83.5876 +Hahira,30.9941,-83.3787 +Franklin,33.2792,-85.098 +Irondale,33.4773,-84.36 +Adrian,32.5306,-82.592 +Yorkville,33.9243,-84.9955 +Clyattville,30.6916,-83.3152 +Eastman,32.1973,-83.1714 +Greensboro,33.5678,-83.1878 +Morven,30.9433,-83.5003 +Geneva,32.5789,-84.5516 +Dixie,30.7858,-83.6643 +Stockton,30.9394,-82.9996 +Damascus,31.2989,-84.717 +Lawrenceville,33.9524,-83.993 +South Newport,31.6349,-81.3962 +Preston,32.066,-84.5374 +Sale City,31.2626,-84.0214 +Panthersville,33.7059,-84.2764 +Reynoldsville,30.8571,-84.778 +North High Shoals,33.8273,-83.5015 +Silver City,34.3343,-84.116 +Keysville,33.2375,-82.2289 +Soperton,32.3782,-82.5944 +Bainbridge,30.9046,-84.5722 +Ideal,32.3726,-84.1894 +Cave Spring,34.1065,-85.339 +Demorest,34.5648,-83.5424 +Coverdale,31.6282,-83.7191 +Oakwood,34.2233,-83.8847 +Tate,34.4184,-84.3827 +Hephzibah,33.2906,-82.0994 +McBean,33.2435,-81.9507 +Conley,33.6398,-84.3376 +Thomaston,32.8907,-84.3272 +Rockingham,31.5441,-82.4145 +Camilla,31.2337,-84.2089 +Homeland,30.8603,-82.0214 +Yonah,34.6437,-83.7411 +Cooper Heights,34.8073,-85.3891 +Hillsboro,33.1799,-83.641 +Springfield,32.3641,-81.3078 +Weston,31.976,-84.6149 +Thunderbolt,32.0339,-81.048 +Manor,31.1038,-82.5732 +Woodbury,32.9848,-84.5821 +Jakin,31.09,-84.9822 +Varnell,34.9013,-84.9652 +Avalon,34.5027,-83.1967 +Glenwood,32.1805,-82.6712 +Thalmann,31.2908,-81.6887 +Ty Ty,31.472,-83.6509 +Mountain Park,34.083,-84.4133 +Norristown,32.5063,-82.4981 +Quitman,30.7849,-83.5603 +Mount Vernon,32.1836,-82.5953 +Milton,34.1353,-84.3138 +Kinderlou,30.801,-83.3674 +Omaha,32.1463,-85.0133 +Surrency,31.7216,-82.1987 +Keller,31.8433,-81.2537 +Fort Gaines,31.6238,-85.0528 +Ball Ground,34.3427,-84.3634 +Luella,33.3521,-84.1785 +Morgan,31.5381,-84.6033 +Kildare,32.5343,-81.4554 +Riverdale,33.5639,-84.4103 +Eastanollee,34.5204,-83.2554 +Lone Oak,33.1724,-84.8173 +Adel,31.1316,-83.425 +Roopville,33.4566,-85.1304 +Twin City,32.5829,-82.1575 +Girard,33.04,-81.7122 +Fairmount,34.4379,-84.6998 +Cuthbert,31.7713,-84.794 +Roswell,34.0391,-84.3513 +Hapeville,33.6609,-84.4093 +Climax,30.8756,-84.4312 +Charles,32.2219,-82.4287 +Donovan,32.7713,-82.7129 +Fleming,31.8808,-81.4265 +Scott,32.5518,-82.6668 +Bogart,33.9474,-83.5334 +Clem,33.5282,-85.0133 +Empire,32.3394,-83.2951 +Finleyson,32.1299,-83.5007 +Everett,31.3905,-81.6387 +Warsaw,34.0182,-84.1902 +Burney,39.3173,-85.6403 +Delphi,40.5831,-86.6672 +Kouts,41.3172,-87.0264 +Bengal,39.4734,-85.9228 +Plainville,38.8048,-87.1516 +Brownsburg,39.8328,-86.3824 +Bippus,40.9442,-85.6239 +Wabash,40.8034,-85.8301 +Otterbein,40.4886,-87.0935 +Highwoods,39.8442,-86.1833 +Crocker,41.5881,-87.1223 +Edwardsport,38.8127,-87.2512 +DeMotte,41.1987,-87.1974 +Etna Green,41.2755,-86.0461 +Liverpool,41.5525,-87.2948 +State Line,40.1973,-87.527 +Monroe City,38.6145,-87.3531 +New Washington,38.5657,-85.5461 +Shelby,41.1934,-87.3426 +Fremont,41.7298,-84.9343 +Judyville,40.3584,-87.395 +Lydick,41.6934,-86.38 +Avilla,41.3637,-85.2317 +Majenica,40.77,-85.4533 +Modoc,40.0454,-85.1264 +Shirley,39.8911,-85.5801 +Atlanta,40.2134,-86.0264 +Charlestown,38.427,-85.6677 +Whitestown,39.9704,-86.3607 +Batesville,39.2974,-85.2139 +Rolling Prairie,41.6743,-86.6207 +Holland,38.2461,-87.038 +Monterey,41.1561,-86.4821 +Huntertown,41.2158,-85.1715 +New Amsterdam,38.1019,-86.2754 +Monon,40.8642,-86.8787 +Fowler,40.6171,-87.3185 +Jonesville,39.0599,-85.8877 +Chesterfield,40.113,-85.5942 +Lincoln Hills,41.4684,-87.1078 +McCordsville,39.8958,-85.9213 +Goshen,41.5741,-85.8304 +Bucktown,38.9948,-87.26 +Williams Creek,39.9001,-86.1502 +Blountsville,40.0599,-85.2385 +Herbst,40.5145,-85.7815 +Pierceton,41.1992,-85.7032 +Crandall,38.288,-86.066 +Lagro,40.8392,-85.7276 +Vallonia,38.8462,-86.0992 +Thorntown,40.1293,-86.61 +Alpine,39.5539,-85.1758 +Griffith,41.5279,-87.424 +Mecca,39.7271,-87.3317 +Winchester,40.172,-84.9766 +Jeffersonville,38.3377,-85.7026 +Lebanon,40.0318,-86.455 +Denver,40.8646,-86.0771 +Medaryville,41.0803,-86.8905 +Burlington,40.4808,-86.3943 +Somerset,40.6695,-85.8319 +Hamlet,41.3792,-86.5832 +Norway,40.7797,-86.7719 +Whiteland,39.5507,-86.0742 +South Haven,41.5438,-87.1367 +Churubusco,41.2308,-85.3201 +Lamar,38.0692,-86.9055 +Spring Hills,39.8346,-86.1926 +Saint Meinrad,38.1692,-86.8257 +Clear Creek,39.1092,-86.54 +Hammond,41.617,-87.4908 +Kniman,41.1442,-87.1375 +Hamilton,41.5413,-84.9206 +Pimento,39.3095,-87.3792 +Freetown,38.9776,-86.1271 +Emma,41.6112,-85.5411 +Brownstown,38.8791,-86.0466 +Freedom,39.207,-86.8692 +Warren Park,39.7832,-86.0517 +Dupont,38.8914,-85.5169 +Uniondale,40.8299,-85.2415 +Silver Lake,41.0744,-85.8923 +West College Corner,39.5694,-84.819 +English,38.3408,-86.4592 +Medora,38.8247,-86.1716 +Spencer,39.2861,-86.7726 +Saint Mary-of-the-Woods,39.512,-87.4628 +Borden,38.4699,-85.9491 +Burket,41.1549,-85.9687 +Lyons,38.9879,-87.0813 +Wingate,40.1724,-87.0725 +West Baden Springs,38.5676,-86.612 +Hatfield,37.903,-87.2217 +Terre Haute,39.4654,-87.3763 +Corydon,38.2132,-86.126 +Sweetser,40.5687,-85.7668 +LaPorte,41.6077,-86.7137 +Spring Grove,39.8472,-84.8912 +Orleans,38.6615,-86.4517 +Russellville,39.8569,-86.9831 +Markle,40.8274,-85.3393 +Middlebury,41.669,-85.7076 +Odell,40.2878,-87.0742 +New Elliott,41.4931,-87.4175 +Scottsburg,38.6854,-85.7831 +Munster,41.5468,-87.5037 +Redkey,40.3481,-85.1524 +Holton,39.0752,-85.3847 +Laketon,40.9807,-85.8393 +Richmond,39.8318,-84.8905 +Gessie,40.0825,-87.4997 +Town of Pines,41.6882,-86.9518 +Roachdale,39.8491,-86.8004 +New Market,39.9527,-86.9217 +New Salem,39.5423,-85.358 +Gas City,40.4898,-85.5984 +Columbus,39.2091,-85.918 +Buena Vista,39.4389,-85.2725 +Trevlac,39.2656,-86.3369 +Seymour,38.9478,-85.8912 +South Bend,41.6771,-86.2692 +Vernon,38.9853,-85.6106 +Wanatah,41.4304,-86.8925 +Akron,41.0388,-86.0249 +Carbon,39.5991,-87.1078 +Kewanna,41.0193,-86.4125 +Royal Center,40.8644,-86.5 +Cory,39.3823,-87.2058 +Attica,40.2877,-87.2449 +West Lafayette,40.4432,-86.9239 +New Harmony,38.1291,-87.9308 +Milan,39.1255,-85.127 +Fair Oaks,41.075,-87.2575 +Burrows,40.6767,-86.5075 +New Pekin,38.5029,-86.0152 +Greens Fork,39.8917,-85.0411 +Morocco,40.9445,-87.4503 +Vera Cruz,40.7016,-85.0795 +Dyer,41.4977,-87.5088 +Clinton,39.6607,-87.4046 +Azalia,39.0917,-85.8472 +Dunreith,39.8029,-85.4365 +Upland,40.4639,-85.5008 +Albion,41.3966,-85.4186 +Saint Leon,39.2935,-84.9641 +Patricksburg,39.3156,-86.9592 +Greenfield,39.7936,-85.7737 +Greendale,39.1316,-84.851 +Bath,39.5084,-84.8625 +Westphalia,38.8665,-87.2277 +Coal City,39.2303,-87.0458 +Amboy,40.602,-85.9275 +Centerville,39.8298,-84.9935 +Kentland,40.7739,-87.4465 +Crows Nest,39.8566,-86.1691 +New Chicago,41.5587,-87.2718 +Onward,40.6946,-86.1952 +Millgrove,40.4084,-85.275 +Cato,38.4367,-87.1856 +North Terre Haute,39.537,-87.3653 +Plainfield,39.6957,-86.3706 +Mount Summit,40.0035,-85.3861 +Utica,38.3381,-85.6561 +Syracuse,41.4215,-85.749 +Waterloo,41.4317,-85.0299 +Owensburg,38.9305,-86.7292 +Raymond,39.4717,-84.8494 +Chambersburg,38.5181,-86.3922 +Underwood,38.6037,-85.7744 +Knightsville,39.5253,-87.0891 +Stroh,41.5814,-85.1994 +Clayton,39.6883,-86.5231 +Tocsin,40.8303,-85.1091 +Cedar Grove,39.3561,-84.9371 +Columbia City,41.1613,-85.4855 +Smithville,39.0712,-86.5069 +Hanover,38.7137,-85.4724 +Simonton Lake,41.7478,-85.9657 +Fish Lake,41.5616,-86.5513 +Lowell,41.293,-87.4202 +Star City,40.9746,-86.5613 +Schneider,41.1928,-87.4462 +Cicero,40.1248,-86.0244 +Laud,41.0495,-85.4522 +North Manchester,41.0044,-85.775 +Bunker Hill,40.66,-86.1012 +Hartsville,39.2669,-85.6994 +Dillsboro,39.0185,-85.053 +Jasonville,39.1619,-87.1995 +Michiana Shores,41.7563,-86.8181 +Mexico,40.8143,-86.1113 +Shipshewana,41.6743,-85.5765 +Kingman,39.9665,-87.2786 +Elnora,38.8762,-87.0849 +Winamac,41.0535,-86.6037 +Newport,39.8841,-87.4072 +Metea,40.8692,-86.3094 +Monroe,40.7452,-84.9413 +Oldenburg,39.3388,-85.2038 +Moores Hill,39.1133,-85.0894 +Markleville,39.9765,-85.6171 +La Fontaine,40.6739,-85.7221 +Arlington,39.6457,-85.5796 +Orland,41.7305,-85.1724 +New Salisbury,38.314,-86.1 +Brook,40.8664,-87.3653 +Milltown,38.3425,-86.2749 +Montgomery,38.665,-87.0473 +Covington,40.1404,-87.391 +Mixersville,39.4884,-84.825 +Indian Springs,38.7964,-86.765 +Cromwell,41.4032,-85.6141 +Lynnville,38.1988,-87.3141 +Bluffton,40.7426,-85.173 +Beal,38.5767,-87.63 +West Lebanon,40.2724,-87.3861 +Wallace,39.9876,-87.148 +Zanesville,40.9155,-85.2807 +Monticello,40.7455,-86.7669 +Salamonia,40.3818,-84.8659 +Ingalls,39.9746,-85.8148 +Kempton,40.288,-86.2293 +Fort Wayne,41.0885,-85.1436 +Stockwell,40.2823,-86.7687 +Jonesboro,40.4797,-85.6303 +Avon,39.7599,-86.3911 +Harrodsburg,39.018,-86.5532 +Laotto,41.2903,-85.198 +Yoder,40.9312,-85.1766 +Sims,40.5006,-85.854 +Rome City,41.4893,-85.361 +Ashley,41.5207,-85.0625 +Martinsville,39.4227,-86.4208 +Mooreland,39.9973,-85.2512 +Middletown,40.0596,-85.5422 +Waveland,39.8773,-87.0455 +Topeka,41.5395,-85.5474 +Lottaville,41.5034,-87.3648 +Webster,39.9034,-84.9452 +Stillwell,41.5559,-86.6028 +Hidden Valley,39.1673,-84.8444 +Ladoga,39.9167,-86.799 +River Forest,40.1107,-85.7294 +Solitude,38.0148,-87.8989 +Metamora,39.4481,-85.1377 +Montpelier,40.5495,-85.2873 +Bargersville,39.5412,-86.2004 +Cross Plains,38.9439,-85.2047 +Gary,41.5906,-87.3472 +Arcola,41.1037,-85.2941 +Lizton,39.884,-86.5421 +Shepardsville,39.6017,-87.4264 +Pine Village,40.4495,-87.2534 +Frankfort,40.2799,-86.518 +Sharptown,39.367,-84.8736 +Waterford,41.6714,-86.845 +Liberty,39.6349,-84.926 +Center Point,39.4154,-87.0752 +Coalmont,39.1931,-87.2265 +Harmony,39.5335,-87.0734 +Peru,40.7585,-86.0715 +Jamestown,39.9284,-86.6263 +Mount Ayr,40.9523,-87.299 +Scipio,39.392,-84.8183 +Millhousen,39.2114,-85.435 +Ross,41.5267,-87.3748 +North Webster,41.324,-85.6979 +Millersburg,41.5277,-85.6964 +Elizabeth,38.124,-85.9736 +Black Oak,41.5661,-87.3936 +Oakland City,38.3378,-87.3492 +Libertyville,39.6028,-87.5186 +Avoca,38.9172,-86.5557 +Ellettsville,39.2322,-86.6238 +Marion,40.5497,-85.66 +Chesterton,41.5995,-87.0549 +Burnettsville,40.7611,-86.5947 +Napoleon,39.2042,-85.3273 +Bloomingdale,39.8306,-87.2502 +Rockport,37.8899,-87.0537 +Brookston,40.601,-86.8663 +Buck Creek,40.4874,-86.7622 +Walkerton,41.4656,-86.4824 +Castleton,39.907,-86.0522 +Windfall,40.3631,-85.9564 +Wheatfield,41.191,-87.0526 +Daleville,40.1186,-85.5576 +Westfield,40.0322,-86.154 +Buffalo,40.888,-86.7374 +Tyner,41.4098,-86.4025 +Beverly Shores,41.685,-86.9804 +Angola,41.6432,-85.0051 +Boston,39.7412,-84.8517 +Dayton,40.3759,-86.7747 +Valparaiso,41.4781,-87.0507 +Ridgeville,40.2922,-85.0285 +Sulphur Springs,39.9991,-85.4393 +Cuzco,38.4751,-86.7228 +Battle Ground,40.5076,-86.8527 +Osceola,41.6647,-86.0787 +Lake Hart,39.5675,-86.4319 +Huntington,40.882,-85.5054 +Orestes,40.2694,-85.7277 +Brazil,39.5232,-87.1244 +Manson,40.24,-86.5903 +Stinesville,39.2998,-86.6498 +West Harrison,39.2582,-84.8225 +Wilkinson,39.8856,-85.6086 +Osgood,39.1291,-85.292 +Winfield,41.4097,-87.2623 +Ambia,40.4893,-87.5161 +Lanesville,38.2351,-85.9859 +Koontz Lake,41.4169,-86.4827 +Indian Village,41.7143,-86.2322 +Parker City,40.1898,-85.2038 +Elkhart,41.6913,-85.9628 +Selma,40.1888,-85.2755 +Merriam,41.2873,-85.4344 +Argos,41.2379,-86.2523 +Hardinsburg,38.462,-86.2732 +Carmel,39.9658,-86.1461 +Odon,38.8425,-86.9891 +Yankeetown,37.9175,-87.2978 +Matthews,40.3874,-85.4977 +Valeene,38.4389,-86.3972 +Huntingburg,38.3009,-86.9625 +Oolitic,38.8925,-86.5252 +Farmland,40.1895,-85.1273 +Paoli,38.5572,-86.4699 +Rockville,39.7665,-87.2295 +Chalmers,40.6622,-86.8678 +Laconia,38.0318,-86.0856 +Hagerstown,39.9115,-85.1554 +Elizaville,40.1267,-86.3758 +Malden,41.3762,-87.027 +Alquina,39.6128,-85.0547 +Burnett,39.5428,-87.2956 +Flat Rock,39.3642,-85.8317 +Kurtz,38.9606,-86.2033 +Whitewater,39.945,-84.8311 +Sandborn,38.8967,-87.1849 +Universal,39.6226,-87.4554 +Kokomo,40.464,-86.1277 +Larwill,41.1793,-85.624 +Auburn,41.3666,-85.056 +Maxwell,39.8575,-85.77 +Woodlawn Heights,40.1184,-85.6972 +Catlin,39.6937,-87.2353 +Cambridge City,39.8124,-85.1703 +Americus,40.5254,-86.7476 +Crown Point,41.414,-87.3455 +Raglesville,38.8022,-86.9622 +Wellsboro,41.4973,-86.7653 +Denham,41.152,-86.7136 +Cannelton,37.9106,-86.7377 +East Germantown,39.8133,-85.1369 +Clear Lake,41.7382,-84.8392 +Elberfeld,38.1617,-87.4482 +Corunna,41.4359,-85.1441 +New Whiteland,39.5618,-86.0994 +Danville,39.7607,-86.5081 +Westport,39.1772,-85.5751 +Pleasant Lake,41.5753,-85.0161 +Yeoman,40.6677,-86.7236 +Williams,38.8151,-86.6444 +Edgewood,40.1032,-85.7374 +Lapel,40.0335,-85.8407 +Caborn,37.9706,-87.792 +Marengo,38.3714,-86.3444 +Marshfield,40.2492,-87.4528 +Alton,38.1211,-86.4196 +Cayuga,39.9474,-87.4646 +Linwood,40.1937,-85.6816 +Poseyville,38.1699,-87.7834 +West Terre Haute,39.4638,-87.4506 +Dunlap,41.6344,-85.9235 +Newberry,38.9237,-87.0191 +Wheatland,38.6632,-87.3062 +Jalapa,40.6263,-85.7464 +Leo-Cedarville,41.2198,-85.0192 +Connersville,39.6582,-85.141 +Leopold,38.1039,-86.5833 +Decatur,40.8301,-84.9281 +Fortville,39.924,-85.8465 +Lynn,40.0488,-84.9424 +Sheridan,40.1318,-86.2195 +Turkey Creek Meadows,41.4953,-87.3434 +Lake Holiday,39.9642,-86.9607 +Servia,40.9567,-85.7405 +Shamrock Lakes,40.4117,-85.4261 +Lafayette,40.3991,-86.8594 +New Palestine,39.7255,-85.8959 +Boonville,38.0469,-87.2845 +Ainsworth,41.4878,-87.2586 +Sedalia,40.4156,-86.5147 +Meridian Hills,39.8874,-86.1567 +Seelyville,39.4936,-87.2667 +Galveston,40.5772,-86.1914 +Alfordsville,38.5605,-86.9482 +Independence Hill,41.4761,-87.3673 +Lewis,39.26,-87.2575 +East Chicago,41.6484,-87.4536 +Green Acres,41.4839,-87.2973 +Paragon,39.3948,-86.5627 +Glenwood,39.6261,-85.302 +Kimmell,41.395,-85.5487 +Emison,38.7992,-87.4603 +Hoagland,40.952,-84.9955 +Reynolds,40.7492,-86.8743 +Melody Hill,38.024,-87.512 +Colfax,40.1943,-86.6673 +Michigantown,40.3279,-86.3917 +Saint Bernice,39.7119,-87.52 +Losantville,40.0236,-85.1836 +Fowlerton,40.4095,-85.5725 +Howe,41.7228,-85.4255 +Southport,39.66,-86.1171 +Clarksville,38.3223,-85.7673 +Bass Lake,41.2304,-86.5845 +Morristown,39.6738,-85.7052 +Spurgeon,38.2553,-87.2587 +Kent,38.7369,-85.5387 +Ogden Dunes,41.6229,-87.1932 +Frankton,40.2211,-85.7719 +Roll,40.5523,-85.3903 +Parkers Settlement,38.044,-87.7146 +Tell City,37.9528,-86.7596 +Brooksburg,38.735,-85.2445 +Koleen,38.9714,-86.8289 +Perrysville,40.0532,-87.436 +Walton,40.6624,-86.2444 +Lewisville,39.8068,-85.3529 +North Salem,39.8596,-86.6445 +Newtown,40.2044,-87.1482 +Fishers,39.9589,-85.967 +Kingsford Heights,41.4786,-86.6927 +Liberty Park,41.4325,-87.3686 +Morgantown,39.3729,-86.2585 +Waynetown,40.0879,-87.0661 +Bedford,38.8603,-86.4895 +Patriot,38.8366,-84.8293 +Zionsville,39.999,-86.2921 +Hollandsburg,39.7603,-87.0722 +Dublin,39.8127,-85.2055 +Lexington,38.6523,-85.6252 +Eaton,40.322,-85.359 +Noblesville,40.0353,-86.006 +New Albany,38.3078,-85.8242 +Point Isabel,40.4206,-85.822 +Country Squire Lakes,39.038,-85.6849 +Sullivan,39.0973,-87.4074 +Fredericksburg,38.4353,-86.1969 +Little York,38.6993,-85.9045 +Crumstown,41.6242,-86.4081 +Bright,39.2254,-84.8613 +Livonia,38.5549,-86.2778 +Camden,40.6099,-86.539 +Darlington,40.1072,-86.7765 +Huron,38.7223,-86.6706 +Shelbyville,39.5325,-85.7762 +Clifford,39.2827,-85.8691 +Rochester,41.059,-86.1961 +Letts,39.2351,-85.565 +Yorktown,40.183,-85.5123 +Crawfordsville,40.0433,-86.8961 +Shoals,38.6668,-86.7939 +Newville,41.3487,-84.845 +Collegeville,40.9059,-87.1612 +Hudson Lake,41.7174,-86.5476 +Anderson,40.0874,-85.692 +Foster,40.1467,-87.4714 +Gifford,41.0709,-87.0525 +Shelburn,39.1791,-87.3971 +Butler,41.4274,-84.8721 +Winslow,38.3827,-87.2129 +Evansville,37.9882,-87.5339 +Linden,40.189,-86.9028 +Cloverdale,39.5211,-86.7995 +Taylorsville,39.2964,-85.9503 +Aurora,39.0676,-84.9051 +Loogootee,38.6759,-86.9143 +Cambria,40.3659,-86.5592 +Kingsbury,41.5303,-86.6974 +Saint John,41.4431,-87.4699 +Central,38.0998,-86.1586 +Clay City,39.2769,-87.1126 +Cadiz,39.951,-85.4867 +Spencerville,41.2831,-84.9219 +Sharpsville,40.3795,-86.0868 +Nappanee,41.4451,-85.9941 +Judson,39.8131,-87.1345 +Dana,39.8072,-87.4945 +Sellersburg,38.4028,-85.7706 +Dune Acres,41.6447,-87.0964 +Bridgeton,39.645,-87.1775 +Metz,41.6162,-84.8394 +Gentryville,38.1091,-87.0316 +Knightstown,39.796,-85.5311 +Speedway,39.7937,-86.2479 +Manilla,39.5727,-85.622 +Iona,38.5487,-87.4717 +Grabill,41.2099,-84.968 +Logansport,40.7472,-86.3519 +Burns Harbor,41.6197,-87.1256 +Hymera,39.1859,-87.2989 +Aberdeen,41.4418,-87.1166 +Inglefield,38.1081,-87.5589 +Pleasant View,39.6634,-85.9416 +Carlisle,38.9608,-87.4015 +Sunman,39.2373,-85.0931 +Toad Hop,39.4568,-87.4639 +Princeton,38.3552,-87.5785 +Crothersville,38.7946,-85.8397 +Homecroft,39.6696,-86.1312 +Rockdale,39.317,-84.8469 +Fairbanks,39.2195,-87.5222 +Haubstadt,38.2037,-87.5751 +Ligonier,41.4652,-85.5945 +Hazleton,38.4893,-87.5406 +Granger,41.7372,-86.1351 +Kasson,38.017,-87.6361 +New Carlisle,41.7018,-86.4917 +Riley,39.3897,-87.3002 +Stilesville,39.6371,-86.6344 +Winona Lake,41.2166,-85.8106 +Macy,40.9582,-86.1296 +Sardinia,39.1539,-85.6311 +Brooklyn,39.5436,-86.3674 +Fulton,40.9462,-86.2642 +Portage,41.5866,-87.1792 +Enos Corner,38.2892,-87.2611 +Remington,40.7651,-87.1552 +Flora,40.5452,-86.5242 +Adams,39.3825,-85.56 +Montezuma,39.7911,-87.3694 +Saint Paul,39.4279,-85.6286 +Clermont,39.8167,-86.3207 +Farmersburg,39.2526,-87.3807 +Bethany,39.5337,-86.3778 +Delong,41.1384,-86.4164 +Lovett,38.9114,-85.633 +Straughn,39.8082,-85.291 +Goodland,40.7637,-87.2952 +Darmstadt,38.0938,-87.5793 +Fillmore,39.6697,-86.7531 +Deputy,38.7952,-85.6528 +Marshall,39.8475,-87.1868 +Greentown,40.4765,-85.9625 +Saint Peter,39.3217,-85.0316 +Canaan,38.8661,-85.2995 +Paris Crossing,38.8295,-85.648 +Westville,41.5381,-86.9054 +Salem,38.6048,-86.0977 +Saint Joseph,38.4001,-85.8083 +Waldron,39.4535,-85.6632 +Young America,40.5686,-86.3467 +Rockfield,40.6411,-86.5739 +Laurel,39.502,-85.1881 +Eminence,39.5214,-86.6414 +Leesburg,41.3307,-85.8489 +Somerville,38.2783,-87.3774 +Palmyra,38.4081,-86.1086 +Ulen,40.0662,-86.4652 +Grass Creek,40.9475,-86.4044 +Graysville,39.1175,-87.5561 +Cannelburg,38.6677,-86.9973 +Springport,40.047,-85.3925 +Cumberland,39.7852,-85.9498 +Hartford City,40.4536,-85.3735 +Earl Park,40.6855,-87.4199 +Celestine,38.3848,-86.7792 +Clarksburg,39.4353,-85.3472 +North Judson,41.2161,-86.7769 +Sparksville,38.7778,-86.2372 +Mount Carmel,39.4076,-84.8757 +Roann,40.911,-85.9247 +Chandler,38.0368,-87.3747 +Hope,39.2993,-85.766 +Georgetown,38.2958,-85.9628 +Grandview,37.937,-86.9842 +Mount Auburn,39.8123,-85.1905 +Mishawaka,41.6734,-86.1668 +Staunton,39.4864,-87.189 +Wolflake,41.335,-85.4958 +Culver,41.2158,-86.4234 +Nashville,39.208,-86.2382 +Van Buren,40.6157,-85.5039 +New Lisbon,39.8634,-85.263 +Berne,40.6567,-84.9555 +Wolcottville,41.5256,-85.3667 +Selvin,38.2042,-87.1061 +Country Club Heights,40.1242,-85.6877 +Grovertown,41.375,-86.5047 +Pottawattamie Park,41.7234,-86.8672 +Oxford,40.5222,-87.2484 +Otwell,38.4566,-87.0959 +Otisco,38.5423,-85.6672 +Tipton,40.2817,-86.0423 +Owensville,38.2718,-87.6919 +Decker,38.5184,-87.524 +Coe,38.3064,-87.2581 +Bristol,41.7184,-85.8227 +Glendale,38.5681,-87.0772 +Kirklin,40.1929,-86.3592 +Mitchell,38.7364,-86.4746 +Landess,40.6126,-85.5592 +La Paz,41.456,-86.3083 +Idaville,40.7588,-86.6505 +Lakes of the Four Seasons,41.4074,-87.2203 +Mount Etna,40.741,-85.5618 +Whiting,41.6731,-87.4843 +Burns City,38.8203,-86.8926 +Poneto,40.6568,-85.2225 +Kennard,39.9055,-85.5221 +New Trenton,39.3088,-84.8968 +Indian Heights,40.4273,-86.1255 +Heltonville,38.9278,-86.3755 +Portland,40.4377,-84.9835 +Swayzee,40.5066,-85.8244 +Vincennes,38.676,-87.5102 +Rexville,38.9526,-85.3366 +Roanoke,40.964,-85.3761 +Albany,40.3057,-85.2332 +Griffin,38.2043,-87.9149 +Converse,40.577,-85.8779 +Tecumseh,39.5658,-87.4327 +Fountain City,39.9548,-84.9192 +Bremen,41.448,-86.1507 +North Vernon,39.0175,-85.6314 +Hayden,38.9714,-85.739 +Rocky Ripple,39.8484,-86.1731 +Depauw,38.3351,-86.2175 +Rising Sun,38.9531,-84.8544 +Bloomington,39.1637,-86.5256 +Bourbon,41.2993,-86.1168 +Mier,40.5748,-85.8233 +Fontanet,39.5713,-87.2434 +Porter,41.6257,-87.0802 +Quincy,39.4537,-86.7125 +Rossville,40.4199,-86.5954 +Milford,41.4142,-85.8446 +Sidney,41.1049,-85.7425 +Amity,39.4262,-86.0011 +Pendleton,40.0051,-85.7692 +Trafalgar,39.4132,-86.1497 +Oaktown,38.8717,-87.4412 +Crane,38.8945,-86.9012 +Greenwood,39.6019,-86.1073 +Yeddo,40.0114,-87.26 +Saratoga,40.2368,-84.9159 +Alamo,39.9835,-87.0554 +La Crosse,41.3177,-86.8898 +Alexandria,40.2583,-85.676 +Lawrenceburg,39.0986,-84.8714 +Washington,38.6592,-87.1721 +Saint Joe,41.3146,-84.9011 +Dubois,38.4458,-86.7978 +Shorewood Forest,41.4598,-87.1497 +Bloomfield,39.0262,-86.9373 +Long Beach,41.7432,-86.8526 +Troy,38.0019,-86.7991 +Lake Dalecarlia,41.337,-87.4036 +Jasper,38.3936,-86.9405 +Lagrange,41.6479,-85.4178 +Howesville,39.177,-87.147 +Warren,40.6878,-85.425 +Vevay,38.7428,-85.0781 +Colburn,40.5188,-86.7125 +Newburgh,37.9492,-87.4051 +Garrett,41.3536,-85.1235 +Andersonville,39.4975,-85.2889 +Greensburg,39.3514,-85.5024 +New Point,39.3098,-85.3271 +Fairland,39.5849,-85.8627 +Muncie,40.1989,-85.395 +Merrillville,41.4728,-87.3197 +Economy,39.9774,-85.0871 +Edinburgh,39.351,-85.9627 +Beech Grove,39.7153,-86.087 +Saltillo,38.6662,-86.2975 +Lee,40.8964,-86.9681 +Roseland,41.7177,-86.2506 +Roselawn,41.1535,-87.2881 +Gosport,39.3507,-86.6655 +Guilford,39.1681,-84.9119 +Blocher,38.7181,-85.6566 +Dugger,39.0704,-87.259 +Monroeville,40.9733,-84.8682 +Heritage Lake,39.7288,-86.7123 +Westpoint,40.3412,-87.0432 +Bryant,40.5358,-84.9633 +Cornettsville,38.7567,-87.11 +Campbellsburg,38.6514,-86.2613 +Dale,38.1733,-86.9849 +Arcadia,40.1742,-86.0211 +San Pierre,41.199,-86.8923 +Mooresville,39.6038,-86.3674 +Leavenworth,38.1994,-86.3453 +South Whitley,41.0838,-85.6278 +Tennyson,38.0818,-87.1187 +Mentone,41.174,-86.0382 +Princes Lakes,39.3516,-86.11 +Monrovia,39.5842,-86.4792 +Indianapolis,39.7771,-86.1458 +Mackey,38.2506,-87.3912 +Michigan City,41.7098,-86.8705 +Santa Claus,38.1168,-86.9292 +Wadesville,38.1025,-87.7861 +Blanford,39.667,-87.5203 +Madison,38.7581,-85.3971 +Rushville,39.6156,-85.4466 +Gaston,40.3138,-85.5009 +Butlerville,39.0326,-85.5131 +Plymouth,41.3482,-86.3188 +Spring Lake,39.7767,-85.8536 +Brookville,39.4232,-85.0114 +Cedar Lake,41.3694,-87.4381 +Elizabethtown,39.1351,-85.8125 +Greencastle,39.6431,-86.8419 +Wolcott,40.7587,-87.0421 +Altona,41.3522,-85.1526 +Midland,39.122,-87.1917 +Carthage,39.7368,-85.5714 +Coatesville,39.6881,-86.6698 +Urbana,40.8984,-85.7928 +Scotland,38.909,-86.9047 +Greenville,38.3717,-85.9847 +Linton,39.0357,-87.1587 +Bruceville,38.758,-87.4154 +Summitville,40.3361,-85.6435 +Henryville,38.5395,-85.7655 +Cynthiana,38.1872,-87.7087 +French Lick,38.5462,-86.6202 +Fairview Park,39.6821,-87.4142 +Mellott,40.1641,-87.1488 +Francesville,40.9854,-86.8836 +Lake Station,41.5729,-87.2599 +Amo,39.6889,-86.6127 +Lawrence,39.8674,-85.9904 +Wheeler,41.5105,-87.1712 +Schererville,41.487,-87.4444 +Nabb,38.6056,-85.6327 +Kendallville,41.4441,-85.2579 +Fort Branch,38.2462,-87.5735 +Hobart,41.5139,-87.2729 +Chrisney,38.0099,-87.0317 +New Goshen,39.583,-87.4646 +Homestead,39.1242,-84.8525 +Pennville,40.4919,-85.1467 +Montmorenci,40.4705,-87.0355 +Birdseye,38.315,-86.6961 +Lake Hills,41.4642,-87.4461 +Rosedale,39.6225,-87.2818 +Cordry Sweetwater Lakes,39.3085,-86.1222 +Harlan,41.1966,-84.9245 +Franklin,39.4934,-86.0545 +Boswell,40.5173,-87.376 +Bicknell,38.7743,-87.3078 +Highland,41.5484,-87.4588 +Austin,38.7417,-85.8118 +Greensboro,39.8789,-85.4638 +Cataract,39.4275,-86.8164 +Russiaville,40.4185,-86.2731 +Patoka,38.4012,-87.5875 +Memphis,38.4892,-85.7679 +Domestic,40.6117,-85.0886 +Tri-Lakes,41.2507,-85.4433 +Claypool,41.1306,-85.8826 +Hebron,41.325,-87.2024 +Merom,39.0559,-87.5672 +New Richmond,40.1944,-86.9775 +Mauckport,38.0257,-86.1996 +Lakeville,41.5285,-86.2744 +Bainbridge,39.7614,-86.8113 +Florence,38.7838,-84.9234 +North Crows Nest,39.8661,-86.1623 +Petersburg,38.4919,-87.281 +Clarks Hill,40.2472,-86.7245 +Wynnedale,39.8326,-86.2004 +Lake Village,41.1308,-87.439 +Hudson,41.5318,-85.0842 +Union City,40.1995,-84.8206 +Veedersburg,40.1128,-87.2566 +Wakarusa,41.5336,-86.0138 +Pittsboro,39.8676,-86.4647 +Ragsdale,38.7467,-87.3241 +Putnamville,39.5742,-86.8653 +Ferdinand,38.2265,-86.8626 +Dunkirk,40.3745,-85.2073 +Aboite,41.0009,-85.318 +Hillsboro,40.1089,-87.1577 +Versailles,39.0636,-85.2564 +Francisco,38.3332,-87.4478 +Geneva,40.5975,-84.9569 +Whitehall,39.1742,-86.6844 +New Ross,39.9647,-86.7145 +East Enterprise,38.8702,-84.9889 +Carefree,38.2517,-86.3514 +Trail Creek,41.6963,-86.8555 +Woodburn,41.1286,-84.8505 +Shadeland,40.3509,-86.9622 +Mulberry,40.3458,-86.6674 +New Paris,41.5005,-85.8248 +Andrews,40.8605,-85.6023 +Mays,39.7437,-85.43 +New Middletown,38.1645,-86.0511 +Galena,38.3513,-85.9372 +Knox,41.291,-86.621 +Spiceland,39.8374,-85.4378 +Mount Vernon,37.9364,-87.8955 +Freelandville,38.8653,-87.3102 +Milton,39.7862,-85.1563 +Advance,39.9954,-86.6204 +Lincoln City,38.1212,-86.9986 +Dover Hill,38.7221,-86.8002 +Hanna,41.4121,-86.7795 +Hillsdale,39.7859,-87.3903 +North Liberty,41.5326,-86.4279 +Milroy,39.4981,-85.4676 +Rensselaer,40.9381,-87.1683 +Derby,38.0303,-86.5272 +Painted Hills,39.3963,-86.3494 +New Castle,39.919,-85.3697 +Ossian,40.8769,-85.1683 +New Haven,41.0669,-85.0282 +Fairmount,40.4173,-85.6478 +Worthington,39.1185,-86.9793 +Switz City,39.0349,-87.0534 +Elwood,40.2743,-85.8371 +Van Bibber Lake,39.7291,-86.9297 +Williamsport,40.2884,-87.2922 +Warsaw,41.2443,-85.8479 +Packwood,41.1327,-92.0825 +Windsor Heights,41.6043,-93.7127 +Ireton,42.9749,-96.3216 +Castalia,43.1126,-91.677 +West Branch,41.6627,-91.3406 +University Park,41.2857,-92.6149 +Le Mars,42.7809,-96.1743 +Arbor Hill,41.3667,-94.3183 +Dundee,42.5798,-91.5461 +Wayland,41.1488,-91.6576 +Oakland Acres,41.7205,-92.8211 +Pleasant Hill,41.5857,-93.4997 +Bayard,41.852,-94.5578 +Littleport,42.7547,-91.3693 +Farley,42.4438,-91.0091 +Vincent,42.5918,-94.0198 +Allerton,40.7077,-93.3689 +Imogene,40.879,-95.4275 +Columbia,41.1753,-93.1499 +Clutier,42.0793,-92.4036 +Blockton,40.6168,-94.4779 +Ralston,42.0418,-94.6293 +Davenport,41.5563,-90.6052 +Lake City,42.2676,-94.7311 +Fremont,41.2126,-92.4342 +Jackson Junction,43.1014,-92.0463 +Casey,41.5075,-94.5213 +Alden,42.5106,-93.3806 +Kellogg,41.7181,-92.9071 +Kingsley,42.5865,-95.9678 +University Heights,41.6551,-91.5589 +Dougherty,42.922,-93.0359 +Okoboji,43.3908,-95.1389 +Otho,42.4222,-94.1493 +Green Island,42.1536,-90.3221 +Holland,42.3999,-92.7988 +Montrose,40.5263,-91.4169 +Centralia,42.4723,-90.8362 +Rhodes,41.9279,-93.1837 +Hancock,41.3922,-95.3637 +Ollie,41.1991,-92.0923 +Winterset,41.3456,-94.0136 +West Amana,41.8082,-91.9652 +Olin,41.9977,-91.1417 +Lynnville,41.573,-92.787 +Wellsburg,42.4338,-92.9265 +Charlotte,41.9621,-90.4682 +Saylorville,41.681,-93.6277 +Fredonia,41.2845,-91.3393 +Bentley,41.3756,-95.6225 +Maurice,42.9664,-96.1824 +Vail,42.0599,-95.2003 +Pocahontas,42.7371,-94.6661 +Center Point,42.1843,-91.7794 +Whittemore,43.0634,-94.4251 +Manning,41.9092,-95.0642 +Eldon,40.9176,-92.2177 +Woolstock,42.5648,-93.8433 +Ocheyedan,43.4181,-95.5365 +Hartley,43.179,-95.4768 +George,43.342,-96.0027 +Saint Lucas,43.0666,-91.9342 +Durant,41.6015,-90.912 +Kent,40.9536,-94.4611 +Pomeroy,42.5519,-94.6778 +Gray,41.8418,-94.9859 +Wilton,41.5898,-91.0272 +Garden Grove,40.8266,-93.6072 +Toledo,41.9902,-92.5803 +Moorland,42.4414,-94.2953 +Gravity,40.7602,-94.7435 +Denver,42.669,-92.3342 +Long Grove,41.6923,-90.5804 +Lakota,43.3786,-94.0963 +Wallingford,43.3202,-94.7924 +Burlington,40.8072,-91.1249 +Spillville,43.2031,-91.9523 +Collins,41.902,-93.3082 +Sioux Center,43.0747,-96.1709 +Norway,41.9023,-91.9226 +New Hartford,42.5666,-92.6232 +Boyden,43.1891,-96.0032 +Prairieburg,42.2378,-91.4259 +Avery,41.0653,-92.7144 +Sheffield,42.8928,-93.2088 +Haverhill,41.9442,-92.9606 +Westphalia,41.7192,-95.3937 +Athelstan,40.5727,-94.5426 +Waterville,43.2084,-91.296 +Buckingham,42.2625,-92.4477 +Salem,40.852,-91.6206 +Hamilton,41.1702,-92.9041 +Ferguson,41.9386,-92.863 +South English,41.4521,-92.0906 +Elkader,42.8572,-91.4024 +Manly,43.2881,-93.201 +Terril,43.3058,-94.9689 +Wever,40.7106,-91.231 +Houghton,40.7837,-91.6108 +Mount Hamill,40.7506,-91.6132 +Tama,41.9636,-92.574 +Albia,41.0272,-92.8039 +Lone Tree,41.4859,-91.4266 +Pisgah,41.8304,-95.9264 +Irwin,41.7902,-95.2068 +Clarion,42.7322,-93.7294 +Steamboat Rock,42.4082,-93.0663 +Greene,42.8969,-92.8043 +Arthur,42.3353,-95.3469 +Archer,43.1151,-95.744 +Laurel,41.8841,-92.9222 +Ankeny,41.728,-93.6031 +Gibson,41.4802,-92.3916 +Story City,42.1866,-93.5865 +Boyer,42.1819,-95.2353 +Webb,42.9497,-95.0129 +South Amana,41.7704,-91.96 +Larchwood,43.4545,-96.4369 +Grandview,41.2771,-91.1877 +Winthrop,42.4702,-91.738 +Washta,42.5756,-95.7202 +Klemme,43.0098,-93.6014 +Clare,42.5875,-94.3447 +Bevington,41.3596,-93.7904 +Pacific Junction,41.018,-95.7996 +Blanchard,40.5808,-95.2215 +Stanhope,42.2889,-93.796 +Corydon,40.7574,-93.3174 +La Motte,42.2958,-90.6235 +Hardy,42.8101,-94.0512 +Eddyville,41.1591,-92.6297 +Palo,42.0646,-91.8002 +Hull,43.1895,-96.1339 +Marquette,43.0446,-91.1905 +Thor,42.6881,-94.0496 +New Providence,42.2812,-93.1718 +Baldwin,42.0732,-90.8385 +Charles City,43.0644,-92.6745 +Victor,41.7308,-92.2947 +Lytton,42.4233,-94.8605 +Orleans,43.4513,-95.0991 +Dexter,41.5154,-94.2276 +Silver City,41.1114,-95.638 +Nemaha,42.515,-95.0889 +Bolan,43.3735,-93.1085 +Harvey,41.3179,-92.9227 +Magnolia,41.6922,-95.8741 +Mount Pleasant,40.9625,-91.5453 +Sand Springs,42.3175,-91.1893 +Canton,42.1633,-90.8957 +Lovilia,41.135,-92.9081 +Spirit Lake,43.4176,-95.1109 +Kiron,42.194,-95.3271 +Oyens,42.82,-96.0582 +Westfield,42.7562,-96.6055 +Dallas Center,41.6854,-93.9816 +Cantril,40.6428,-92.0686 +Panorama Park,41.5556,-90.4537 +Danbury,42.2364,-95.7216 +Burt,43.1989,-94.2211 +Diagonal,40.8105,-94.3421 +Northwood,43.4441,-93.2166 +Colwell,43.1577,-92.5911 +Akron,42.8268,-96.5571 +Carbon,41.0497,-94.824 +Massillon,41.9147,-90.9226 +Mediapolis,41.0079,-91.1637 +Avoca,41.4828,-95.3373 +Twin Lakes,42.4775,-94.6354 +Brighton,41.1747,-91.8212 +Attica,41.2297,-93.016 +Swan,41.4675,-93.3096 +Paton,42.1642,-94.255 +Ridgeway,43.2971,-91.9924 +West Point,40.715,-91.4523 +Denmark,40.7385,-91.3381 +Rockwell,42.98,-93.1871 +Whiting,42.1272,-96.1508 +Walford,41.8796,-91.8305 +Villisca,40.9298,-94.9819 +Lawton,42.4769,-96.1851 +Loveland,41.4973,-95.8909 +Clemons,42.1139,-93.1585 +Emerson,41.018,-95.4027 +Earling,41.7761,-95.4189 +Guttenberg,42.7886,-91.1059 +Adel,41.6122,-94.0138 +Burchinal,43.0648,-93.2785 +Harcourt,42.2606,-94.1745 +Ladora,41.7555,-92.1859 +Hedrick,41.1712,-92.3079 +Albion,42.1127,-92.9888 +Mount Union,41.0576,-91.3908 +Traer,42.1907,-92.4641 +Greenfield,41.3056,-94.4592 +Calumet,42.945,-95.5514 +Westside,42.0757,-95.1013 +Kalona,41.4874,-91.7018 +Fraser,42.1243,-93.9699 +Dows,42.6593,-93.5012 +North English,41.5164,-92.0777 +Roseville,43.0253,-92.8082 +Birmingham,40.8777,-91.9472 +Buckeye,42.4195,-93.3758 +Killduff,41.608,-92.9046 +Centerville,40.7294,-92.8718 +Nevada,42.0185,-93.4637 +Sergeant Bluff,42.3976,-96.3518 +Alleman,41.8158,-93.6094 +Maynard,42.7739,-91.8775 +Livermore,42.868,-94.184 +Viola,42.0919,-91.3873 +Orange City,43.0021,-96.0567 +Hopkinton,42.343,-91.2488 +Hiteman,41.0589,-92.8921 +Strawberry Point,42.6804,-91.5349 +Martinsburg,41.1786,-92.2519 +Missouri Valley,41.5574,-95.9028 +Pioneer,42.6535,-94.3909 +Plainfield,42.8447,-92.5357 +Martensdale,41.3738,-93.7387 +Rowan,42.7391,-93.5504 +Drakesville,40.7984,-92.4814 +Thompson,43.3698,-93.7747 +McClelland,41.3285,-95.6834 +Anthon,42.3881,-95.8657 +Glasgow,40.9409,-91.7804 +Hayfield,43.1781,-93.6926 +Luton,42.3397,-96.2264 +Williamson,41.0883,-93.2568 +Polk City,41.7773,-93.7132 +Raymond,42.4694,-92.2296 +Vining,41.991,-92.3875 +Sharpsburg,40.803,-94.6405 +Underwood,41.3808,-95.682 +Carpenter,43.415,-93.0173 +McIntire,43.436,-92.5937 +Clayton,42.9033,-91.1507 +Worthington,42.3981,-91.1208 +Bankston,42.5073,-90.9613 +Bouton,41.8511,-94.0106 +Willey,41.9787,-94.8224 +Shell Rock,42.7122,-92.5819 +Laurens,42.8477,-94.8482 +Albert City,42.7816,-94.9491 +Lucas,41.0322,-93.4611 +Climbing Hill,42.3394,-96.081 +Riverton,40.6868,-95.5686 +Exline,40.649,-92.8432 +River Sioux,41.8024,-96.0478 +Ryan,42.3524,-91.4852 +Ottosen,42.898,-94.3755 +Sexton,43.0749,-94.0892 +Paris,42.2386,-91.5791 +Yale,41.7754,-94.3572 +Matlock,43.2443,-95.9343 +Blakesburg,40.962,-92.6348 +Quimby,42.6292,-95.644 +Rockwell City,42.3981,-94.6289 +Finchford,42.6272,-92.5438 +Ackworth,41.3642,-93.4723 +Plover,42.8767,-94.6222 +Lehigh,42.3575,-94.0535 +Toddville,42.0992,-91.7168 +Guthrie Center,41.6781,-94.499 +Nashua,42.9501,-92.5417 +Orient,41.2032,-94.4178 +Tipton,41.7697,-91.1283 +Botna,41.8558,-95.1314 +Logan,41.6453,-95.7917 +Elk Horn,41.593,-95.0615 +Janesville,42.6459,-92.4627 +Kanawha,42.9342,-93.7933 +Rickardsville,42.5815,-90.8763 +Pleasant Plain,41.1472,-91.8597 +Middle Amana,41.7945,-91.901 +Gillett Grove,43.0166,-95.0365 +Frederika,42.8835,-92.3054 +Rock Rapids,43.4273,-96.1662 +Bassett,43.0621,-92.5158 +Hills,41.5571,-91.5361 +Lyman,41.2311,-94.9844 +Arlington,42.7488,-91.6711 +Eagle Grove,42.6664,-93.9026 +Saint Benedict,43.044,-94.0609 +Macksburg,41.215,-94.1849 +McCausland,41.7435,-90.4461 +Aspinwall,41.9106,-95.135 +Afton,41.0276,-94.1954 +Newhall,41.9934,-91.9672 +Dixon,41.7422,-90.7824 +Elberon,42.0055,-92.3161 +Linby,41.1506,-92.1413 +Otranto,43.4608,-92.9861 +Cromwell,41.0403,-94.4616 +Green Mountain,42.1019,-92.8196 +Coggon,42.2783,-91.5304 +Bluffton,43.403,-91.9118 +Coppock,41.1635,-91.7151 +Waverly,42.7249,-92.4707 +Stanton,40.981,-95.1029 +Conroy,41.7267,-91.9986 +Kellerton,40.7103,-94.0503 +Epworth,42.4474,-90.9309 +Delhi,42.4303,-91.3305 +Monticello,42.2303,-91.1837 +Brooks,40.9653,-94.805 +Dolliver,43.4638,-94.6143 +Wesley,43.0887,-93.9929 +Harris,43.4435,-95.4371 +Nichols,41.4797,-91.3081 +Thornburg,41.4553,-92.3327 +Defiance,41.8254,-95.3404 +Hartford,41.4577,-93.4038 +Carter Lake,41.2884,-95.9171 +Bode,42.868,-94.2863 +Atkins,41.9943,-91.8585 +Newell,42.6097,-95.004 +Columbus City,41.2592,-91.3747 +Postville,43.084,-91.5683 +Holiday Lake,41.8174,-92.4496 +Morton Mills,41.0797,-94.9847 +Hanlontown,43.2809,-93.3789 +Dow City,41.9279,-95.4944 +Moscow,41.575,-91.0827 +Yetter,42.3161,-94.8432 +Runnells,41.514,-93.3604 +Dedham,41.9087,-94.8232 +Rome,40.9823,-91.6818 +Galva,42.5059,-95.4177 +New Sharon,41.4701,-92.6509 +Webster,41.4379,-92.1715 +Hutchins,43.0878,-93.8865 +Murray,41.0413,-93.9489 +Luzerne,41.9057,-92.1803 +Waukon,43.2684,-91.4782 +Argyle,40.5317,-91.5663 +Newton,41.6964,-93.0403 +Curlew,42.9795,-94.7377 +Bancroft,43.2928,-94.2175 +Milo,41.2892,-93.4406 +Marshalltown,42.0341,-92.9067 +Wiota,41.401,-94.8875 +Fruitland,41.3475,-91.1288 +Belle Plaine,41.8953,-92.2753 +Center Junction,42.1141,-91.0903 +Moneta,43.1291,-95.3906 +Duncan,43.1051,-93.7059 +Washington,41.2982,-91.6928 +Buck Grove,41.9178,-95.3951 +Tripoli,42.8083,-92.2579 +Grinnell,41.7373,-92.7244 +Jefferson,42.0173,-94.3798 +Redding,40.6068,-94.3863 +Dickens,43.1339,-95.0223 +Granville,42.9854,-95.8748 +Donahue,41.6915,-90.6746 +Mount Ayr,40.7141,-94.2377 +Iconium,40.8914,-92.9552 +Ross,41.7742,-94.9189 +Nevinville,41.1472,-94.5008 +Royal,43.0644,-95.2836 +Millersburg,41.5732,-92.1592 +Woodward,41.8527,-93.9208 +Dorchester,43.4697,-91.511 +Douds,40.8438,-92.0764 +Arion,41.9482,-95.4623 +Selma,40.8703,-92.1532 +Joice,43.3648,-93.4581 +Ossian,43.1469,-91.7646 +Dubuque,42.5007,-90.7067 +West Union,42.9588,-91.8132 +California Junction,41.5601,-95.9947 +Libertyville,40.9583,-92.0502 +Doon,43.2788,-96.2317 +Marion,42.0452,-91.5847 +Floris,40.864,-92.3323 +High Amana,41.8011,-91.9419 +College Springs,40.6213,-95.1212 +Meyer,43.4618,-92.7011 +Scranton,42.0191,-94.549 +Shipley,41.98,-93.5116 +Burr Oak,43.458,-91.8619 +Creston,41.0597,-94.365 +Saint Anthony,42.1239,-93.1978 +Breda,42.184,-94.9751 +Smithland,42.229,-95.9312 +Iowa City,41.6559,-91.5304 +McCallsburg,42.1648,-93.3907 +Walker,42.2873,-91.7809 +Pierson,42.5428,-95.8653 +Maysville,41.6498,-90.7183 +Fenton,43.2181,-94.428 +Percival,40.7513,-95.8132 +Buffalo,41.4666,-90.717 +Coulter,42.7331,-93.3701 +Anita,41.4436,-94.7659 +Cambridge,41.9001,-93.536 +Clinton,41.8434,-90.2408 +Sageville,42.5489,-90.7062 +Evans,41.3028,-92.7271 +Rose Hill,41.3202,-92.4638 +Westgate,42.7682,-91.9956 +Madrid,41.8757,-93.8205 +Mingo,41.7662,-93.2826 +Jesup,42.4745,-92.0658 +Batavia,40.9951,-92.1674 +Van Meter,41.5207,-93.9454 +Pleasantville,41.3864,-93.2727 +West Grove,40.7247,-92.5602 +Knoxville,41.3188,-93.1024 +Welton,41.9076,-90.5959 +Knierim,42.4561,-94.4559 +Primghar,43.0864,-95.6209 +Huntington,43.4916,-94.7919 +Monteith,41.6314,-94.4286 +Norwalk,41.4901,-93.6916 +Newburg,41.8186,-92.7744 +Cooper,41.9203,-94.3447 +Manson,42.5284,-94.5401 +Cherokee,42.7508,-95.5526 +Martelle,42.0204,-91.3578 +North Buena Vista,42.6776,-90.9585 +Gilman,41.8788,-92.7881 +Schaller,42.4965,-95.2963 +Persia,41.5786,-95.5705 +Winfield,41.1259,-91.4382 +Rochester,41.6747,-91.1508 +Gilbert,42.1073,-93.6462 +Callender,42.3616,-94.2955 +Reasnor,41.5789,-93.0229 +North Washington,43.1173,-92.4154 +Oto,42.282,-95.8945 +Mitchell,43.3204,-92.8707 +Elkhart,41.7923,-93.524 +Morse,41.7495,-91.4346 +Fayette,42.8415,-91.8037 +Springville,42.0529,-91.4457 +Shenandoah,40.7583,-95.372 +Algona,43.0743,-94.2302 +Van Horne,42.0096,-92.0894 +Van Wert,40.871,-93.7918 +West Burlington,40.8218,-91.1762 +Delta,41.3226,-92.3304 +Dumont,42.7522,-92.9735 +Titonka,43.2369,-94.0414 +Lidderdale,42.1225,-94.7837 +Lake Park,43.4472,-95.3246 +Alexander,42.8044,-93.4786 +Thurman,40.8202,-95.7488 +Lincoln,42.2635,-92.6914 +Crawfordsville,41.214,-91.5367 +Whitten,42.2626,-93.0097 +Blairsburg,42.4784,-93.6428 +West Bend,42.9599,-94.4457 +West Chester,41.34,-91.8169 +Grand Junction,42.033,-94.237 +Keomah Village,41.2887,-92.5367 +Ewart,41.6411,-92.6105 +What Cheer,41.3998,-92.3546 +Rathbun,40.8017,-92.8871 +Rowley,42.3685,-91.8445 +Ventura,43.1283,-93.4621 +Miles,42.0488,-90.3151 +Charleston,40.5909,-91.5313 +Modale,41.6182,-96.012 +Goldfield,42.7357,-93.9181 +Davis City,40.6401,-93.8126 +Hastings,41.0251,-95.4948 +Moravia,40.8918,-92.8191 +Dysart,42.1721,-92.3091 +Spring Hill,41.4122,-93.65 +Wright,41.2492,-92.526 +Craig,42.8956,-96.3097 +Lacona,41.1901,-93.3851 +Chariton,41.0176,-93.3095 +Asbury,42.512,-90.7795 +Auburn,42.2496,-94.8778 +Diamondhead Lake,41.5489,-94.2592 +Maxwell,41.8914,-93.396 +Ledyard,43.4206,-94.1585 +Peterson,42.9176,-95.3431 +Homestead,41.7627,-91.8731 +Jamison,41.1217,-93.7249 +Prairie City,41.5954,-93.2393 +Fernald,42.0708,-93.3949 +Norwood,41.1167,-93.4788 +Farmington,40.6389,-91.7392 +Redfield,41.5905,-94.1963 +Sioux Rapids,42.8916,-95.1488 +Clear Lake,43.1346,-93.374 +Humeston,40.861,-93.4973 +Swisher,41.8442,-91.6938 +Sibley,43.4013,-95.7438 +Havelock,42.8332,-94.7009 +Downey,41.6161,-91.3485 +New Albin,43.497,-91.2881 +Danville,40.8599,-91.3145 +Donnan,42.8961,-91.8779 +Beaconsfield,40.8076,-94.0507 +Faulkner,42.6153,-93.086 +Aplington,42.582,-92.8838 +Key West,42.4489,-90.684 +Williams,42.4892,-93.5411 +De Soto,41.5364,-94.0098 +Edgewood,42.6443,-91.4017 +Wapello,41.1772,-91.1881 +Marengo,41.7965,-92.0678 +Patterson,41.3485,-93.8771 +Alton,42.9877,-96.0095 +Summitville,40.4728,-91.4488 +Panora,41.691,-94.3637 +Grafton,43.3304,-93.0687 +Dike,42.4641,-92.6255 +Dunlap,41.8526,-95.6006 +Decatur City,40.7423,-93.8328 +Hale,42.0125,-91.0593 +Morrison,42.343,-92.6733 +Marne,41.4489,-95.1108 +Gilliatt,41.2911,-95.7586 +Highland Center,41.1264,-92.3532 +Wall Lake,42.2672,-95.0927 +Promise City,40.7473,-93.1498 +Morley,42.006,-91.2459 +Gruver,43.3931,-94.7036 +Nora Springs,43.1445,-93.0095 +Ogden,42.0395,-94.0283 +Benton,40.7041,-94.3612 +Webster City,42.4623,-93.8167 +Allison,42.7518,-92.7957 +Sandyville,41.3709,-93.3862 +Swedesburg,41.1053,-91.5471 +Boone,42.053,-93.8771 +Ainsworth,41.2901,-91.5545 +Conrad,42.2234,-92.874 +Leland,43.3318,-93.6351 +Washburn,42.4112,-92.2685 +Ottumwa,41.0196,-92.4186 +Trenton,41.0617,-91.6374 +Farlin,42.0764,-94.4486 +Calamus,41.8265,-90.76 +Deep River,41.5812,-92.3731 +Lakeside,42.6179,-95.1772 +Lewis,41.3065,-95.0843 +Coon Rapids,41.8748,-94.6785 +Weston,41.342,-95.7448 +Sewal,40.6442,-93.2588 +Pilot Mound,42.1593,-94.0183 +Glenwood,41.0445,-95.7408 +Marathon,42.8602,-94.9829 +Lorimor,41.1268,-94.0571 +Cornelia,42.79,-93.6833 +Mark,40.6603,-92.5116 +Melcher-Dallas,41.2275,-93.2411 +Robinson,42.3419,-91.5788 +Donnellson,40.6442,-91.5616 +Shannon City,40.8992,-94.2639 +Clearfield,40.8025,-94.4826 +Colfax,41.68,-93.2386 +New London,40.9232,-91.401 +Union,42.2435,-93.0627 +Saint Joseph,42.9123,-94.2308 +Tara,42.5002,-94.2958 +Agency,40.9975,-92.3072 +Zwingle,42.2972,-90.6875 +Clarksville,42.78,-92.6681 +Emmetsburg,43.1146,-94.6799 +Swea City,43.3832,-94.311 +Lu Verne,42.9092,-94.0836 +Roland,42.166,-93.503 +Kesley,42.6625,-92.9102 +Aurelia,42.7131,-95.4368 +Johnston,41.6856,-93.7173 +Rands,42.325,-94.5789 +Gladbrook,42.1861,-92.715 +Hepburn,40.8476,-95.0167 +Denison,42.016,-95.3528 +Independence,42.4621,-91.903 +Henderson,41.14,-95.4309 +Jerico,43.1847,-92.2585 +Paullina,42.9796,-95.684 +Knoke,42.5169,-94.763 +Amana,41.8025,-91.8741 +Wyman,41.1922,-91.474 +Oxford Junction,41.9837,-90.9541 +Beacon,41.2746,-92.6814 +Hansell,42.7578,-93.1041 +Granger,41.7616,-93.8234 +Larrabee,42.8615,-95.5446 +Mount Zion,40.7886,-91.9338 +Masonville,42.4798,-91.5915 +Hornick,42.2304,-96.0971 +Keswick,41.4547,-92.2382 +Sabula,42.0665,-90.1756 +Bedford,40.6712,-94.724 +Luther,41.9669,-93.8176 +Wyoming,42.0597,-91.0051 +Packard,42.8508,-92.7321 +Quasqueton,42.3944,-91.7579 +Strahan,40.9497,-95.4992 +Millville,42.7,-91.0743 +Oakville,41.0981,-91.0436 +Oneida,42.5428,-91.3535 +Beaman,42.2202,-92.8221 +Thayer,41.029,-94.0497 +Liscomb,42.191,-93.0062 +Low Moor,41.8023,-90.3542 +Randall,42.2371,-93.6026 +Holstein,42.4869,-95.5429 +Gunder,42.9716,-91.5132 +Rodney,42.2047,-95.9508 +Stockton,41.5908,-90.8566 +Radcliffe,42.3177,-93.4343 +Humboldt,42.7232,-94.2245 +Armstrong,43.3945,-94.4834 +Bremer,42.7733,-92.3949 +State Center,42.0149,-93.1652 +Fredericksburg,42.9647,-92.1964 +Andover,41.9799,-90.2529 +Huxley,41.896,-93.5915 +Colesburg,42.6387,-91.201 +Salix,42.3158,-96.3035 +Kimballton,41.6271,-95.0749 +Manchester,42.4854,-91.4556 +Kinross,41.4589,-91.9873 +Parnell,41.5835,-92.0045 +Meservey,42.9157,-93.4734 +Mondamin,41.7101,-96.0215 +Rock Falls,43.2069,-93.0874 +Indianola,41.3629,-93.5652 +Preston,42.049,-90.3974 +Kirkman,41.7281,-95.2673 +Delmar,41.9988,-90.608 +Ute,42.05,-95.7058 +Springbrook,42.1657,-90.4793 +Minburn,41.7576,-94.0286 +Letts,41.3299,-91.2356 +Grant,41.1427,-94.985 +Carroll,42.0699,-94.8647 +Bridgewater,41.2472,-94.669 +Tracy,41.2764,-92.8755 +Sigourney,41.3341,-92.2045 +Mallard,42.9395,-94.6828 +Anderson,40.7983,-95.6086 +Alta Vista,43.1968,-92.417 +Gifford,42.2883,-93.0905 +Lohrville,42.2672,-94.5516 +Hinton,42.6212,-96.2976 +Lester,43.4403,-96.3315 +Russell,40.9801,-93.2005 +Corwith,42.989,-93.9581 +Linden,41.6427,-94.27 +Cloverdale,43.3469,-95.6858 +Vinton,42.1639,-92.026 +Gowrie,42.2778,-94.2897 +Exira,41.592,-94.8811 +Pleasanton,40.5825,-93.743 +Riceville,43.3621,-92.5541 +Inwood,43.3093,-96.4351 +Aurora,42.6201,-91.7295 +DeWitt,41.8225,-90.5438 +Lake View,42.3046,-95.0406 +Columbus Junction,41.2787,-91.3651 +Remsen,42.8148,-95.9724 +Keokuk,40.4096,-91.4031 +Truro,41.2098,-93.8467 +Waterloo,42.492,-92.3522 +Dyersville,42.4817,-91.1176 +Estherville,43.3998,-94.8343 +Stone City,42.1101,-91.3543 +Stanwood,41.8933,-91.1486 +Shellsburg,42.0929,-91.871 +Hurstville,42.0975,-90.6832 +Minden,41.4686,-95.541 +Rockford,43.0524,-92.9477 +King,42.4053,-90.5918 +Cresco,43.3718,-92.1164 +Croton,40.5903,-91.6907 +Spragueville,42.0717,-90.4321 +Highlandville,43.4422,-91.6685 +Shueyville,41.8463,-91.6512 +Kamrar,42.3898,-93.728 +Soldier,41.9842,-95.7802 +Parkersburg,42.574,-92.7788 +Grundy Center,42.3638,-92.774 +Ionia,43.0361,-92.4584 +Seney,42.8528,-96.1309 +Dana,42.1071,-94.2383 +Stiles,40.635,-92.3513 +Cylinder,43.0897,-94.5512 +Portsmouth,41.6505,-95.5193 +Battle Creek,42.3168,-95.6003 +Mystic,40.7792,-92.9446 +Tennant,41.5941,-95.4449 +Fostoria,43.243,-95.155 +Manilla,41.8924,-95.2345 +Decorah,43.3016,-91.7845 +Stratford,42.2691,-93.9272 +Charter Oak,42.0684,-95.589 +Irvington,43.0136,-94.196 +Beaver,42.0383,-94.14 +Dawson,41.8431,-94.2203 +North Liberty,41.7439,-91.6105 +Blencoe,41.9304,-96.0822 +Carlisle,41.5116,-93.4949 +Latimer,42.7628,-93.3656 +Langdon,43.2158,-95.088 +Sidney,40.7459,-95.6443 +Palmer,42.6299,-94.5984 +Panama,41.7262,-95.4754 +Delaware,42.4713,-91.339 +Elkport,42.7411,-91.2751 +Earlham,41.4945,-94.1222 +Folletts,41.7486,-90.3549 +Goose Lake,41.968,-90.3817 +Keosauqua,40.7347,-91.9605 +Lime Springs,43.4498,-92.2841 +Mineola,41.1414,-95.6954 +Hazleton,42.6178,-91.9059 +Riverside,41.4894,-91.5558 +Turin,42.0208,-95.966 +Waucoma,43.0554,-92.0341 +New Liberty,41.716,-90.8781 +Tiffin,41.7067,-91.6583 +Garber,42.7444,-91.2617 +Clarence,41.8859,-91.057 +Monmouth,42.0751,-90.8822 +Tabor,40.8949,-95.6737 +Stacyville,43.4391,-92.784 +Sunbury,41.67,-90.931 +Spencer,43.1468,-95.1534 +Blue Grass,41.5096,-90.7649 +Brooklyn,41.7314,-92.4453 +Floyd,43.1282,-92.7402 +Fulton,42.1536,-90.6782 +Carl,41.12,-94.663 +Voorhies,42.3358,-92.4827 +Slater,41.8793,-93.6863 +Varina,42.6582,-94.8977 +Germantown,42.9533,-95.7808 +Galt,42.693,-93.6051 +Toronto,41.9029,-90.8627 +Ware,42.7903,-94.7591 +Lineville,40.587,-93.5232 +Marysville,41.1827,-92.9537 +Montezuma,41.5833,-92.5274 +Bertram,41.9512,-91.5376 +Saint Paul,40.7678,-91.5165 +Clermont,43.0001,-91.6523 +Hamburg,40.6061,-95.6545 +Farmersburg,42.9589,-91.367 +Osterdock,42.7314,-91.1579 +Guernsey,41.6492,-92.343 +Stuart,41.5003,-94.3187 +Lourdes,43.2622,-92.2988 +Sumner,42.8498,-92.0971 +Lake Panorama,41.7199,-94.4026 +Fairfax,41.9227,-91.776 +Linn Grove,42.8928,-95.2424 +Teeds Grove,42.0117,-90.2476 +Carson,41.2359,-95.4186 +Elgin,42.9553,-91.6356 +Garnavillo,42.8662,-91.2364 +Oelwein,42.6715,-91.9133 +Conway,40.7492,-94.6199 +Rolfe,42.8129,-94.5313 +Fonda,42.5817,-94.8457 +Garner,43.1001,-93.6026 +Colo,42.0145,-93.3186 +Altoona,41.6461,-93.4758 +Farragut,40.72,-95.4807 +Otter Creek,42.2406,-90.6826 +Deloit,42.0971,-95.3175 +Bussey,41.2057,-92.8843 +Park View,41.6922,-90.5393 +Rippey,41.9342,-94.2008 +Monona,43.0513,-91.3912 +Robins,42.0799,-91.6764 +Rodman,43.0266,-94.5272 +Cumberland,41.2731,-94.8707 +Forest City,43.257,-93.6364 +Langworthy,42.1911,-91.224 +Calmar,43.1811,-91.8678 +Fontanelle,41.29,-94.5601 +Pulaski,40.6929,-92.2737 +Hamlin,41.6669,-94.9058 +Rubio,41.2211,-91.9377 +Ringsted,43.295,-94.5068 +Sutherland,42.9729,-95.4951 +Granite,43.4689,-96.5564 +Ira,41.7778,-93.2058 +Elliott,41.1494,-95.1629 +Saint Olaf,42.9269,-91.3879 +Cumming,41.4876,-93.7594 +Montour,41.9803,-92.715 +Mount Auburn,42.2575,-92.0943 +Le Roy,40.8784,-93.5925 +Jewell,42.3069,-93.6402 +Millerton,40.8494,-93.3057 +New Market,40.7324,-94.9005 +Le Grand,42.0067,-92.7749 +Moingona,42.0169,-93.9325 +Bettendorf,41.5656,-90.4764 +Keota,41.3651,-91.9533 +Rossie,43.0137,-95.1886 +Ayrshire,43.0395,-94.8335 +Garden City,42.2455,-93.3954 +Oxford,41.7229,-91.7912 +Plano,40.7554,-93.0469 +Otley,41.4589,-93.0358 +Halfa,43.3519,-94.5419 +Treynor,41.2322,-95.6062 +Marcus,42.8224,-95.8068 +Barnes City,41.5071,-92.4696 +Lanesboro,42.1827,-94.6921 +West Okoboji,43.3489,-95.1632 +Mapleton,42.1671,-95.7905 +Gilbertville,42.4191,-92.2143 +Harpers Ferry,43.2009,-91.1519 +Grand Mound,41.8232,-90.6502 +Maquoketa,42.0599,-90.665 +Clive,41.6147,-93.7979 +Bristow,42.7738,-92.9079 +Grand River,40.819,-93.9634 +Siam,40.6278,-94.8855 +Marble Rock,42.9648,-92.8683 +Menlo,41.5221,-94.4043 +Audubon,41.7181,-94.9286 +Fairbank,42.6401,-92.0476 +Monroe,41.5189,-93.1038 +Garrison,42.144,-92.1431 +Holy Cross,42.6012,-90.9962 +Kensett,43.3534,-93.2106 +Carmel,43.1278,-96.2353 +Grimes,41.6775,-93.7946 +Hampton,42.742,-93.205 +Fairport,41.4359,-90.9046 +Fertile,43.2623,-93.4232 +Geneva,42.6748,-93.1298 +Lenox,40.883,-94.5583 +Miller,43.1864,-93.6076 +Struble,42.8945,-96.1946 +Correctionville,42.4771,-95.783 +Saint Charles,41.2881,-93.8075 +Durango,42.5611,-90.7743 +Council Bluffs,41.2369,-95.8517 +Unionville,40.8182,-92.6958 +Frankville,43.1891,-91.6174 +Wheatland,41.8329,-90.8379 +East Amana,41.8071,-91.8498 +Des Moines,41.5725,-93.6104 +Zearing,42.1589,-93.2972 +Portland,43.1276,-93.1271 +Randolph,40.8734,-95.5647 +Glidden,42.0576,-94.7267 +Mount Sterling,40.6198,-91.9326 +Richland,41.1857,-91.996 +Sheldon,43.1796,-95.8441 +Tingley,40.8527,-94.1958 +Braddyville,40.5806,-95.0312 +Anamosa,42.1091,-91.2758 +Stout,42.5269,-92.7115 +Williamsburg,41.668,-92.0098 +Saint Marys,41.3076,-93.7339 +Bernard,42.3133,-90.8319 +Everly,43.1619,-95.3198 +Lowden,41.8591,-90.9235 +Morning Sun,41.0942,-91.2506 +New Hampton,43.0572,-92.3164 +Greenville,43.017,-95.1461 +Leando,40.8221,-92.0805 +Rutland,42.7615,-94.2952 +Duncombe,42.4695,-93.9962 +Clarinda,40.738,-95.034 +Dunkerton,42.5672,-92.1611 +Milford,43.3335,-95.1474 +Woodburn,41.0108,-93.5962 +Bellevue,42.2625,-90.4318 +Barnum,42.5062,-94.3657 +Little Sioux,41.8082,-96.0274 +Jordan,42.0492,-93.7841 +Stockport,40.8573,-91.8334 +Boxholm,42.1736,-94.1061 +Numa,40.6854,-92.98 +Fort Madison,40.6198,-91.352 +Schley,43.3033,-92.2191 +Castana,42.0732,-95.9105 +Coin,40.6561,-95.2349 +Walnut,41.4885,-95.2205 +Thornton,42.9442,-93.3871 +Le Claire,41.5963,-90.3687 +Goodell,42.9237,-93.614 +Belknap,40.8206,-92.4263 +Woodbine,41.7346,-95.7067 +Cedar Rapids,41.9667,-91.6782 +Renwick,42.8269,-93.9813 +Mona,43.4833,-92.9501 +Adair,41.5004,-94.6434 +Alta,42.6717,-95.3045 +Lawler,43.0718,-92.1536 +West Liberty,41.5726,-91.2621 +Brunsville,42.8108,-96.2665 +Wellman,41.4693,-91.8354 +Fort Atkinson,43.1442,-91.9344 +Rossville,43.1894,-91.3757 +Rock Valley,43.2042,-96.2909 +La Porte City,42.3137,-92.1912 +Lansing,43.3606,-91.2254 +Rembrandt,42.8257,-95.1656 +Malvern,41.0076,-95.5857 +Toeterville,43.4401,-92.8879 +Jamaica,41.8452,-94.307 +Bradgate,42.8029,-94.4196 +Cincinnati,40.6309,-92.9222 +Stanley,42.6417,-91.8123 +Elma,43.2459,-92.4393 +Kirkville,41.1423,-92.5036 +Buffalo Center,43.3894,-93.9428 +Bloomfield,40.7487,-92.4173 +Mount Vernon,41.923,-91.4244 +Maharishi Vedic City,41.0544,-92.0139 +Garwin,42.0935,-92.6791 +Lockridge,40.9936,-91.7488 +Westwood,40.9648,-91.6266 +Belmond,42.8466,-93.6084 +Readlyn,42.7038,-92.2249 +Olds,41.1342,-91.5441 +Badger,42.6142,-94.1446 +Perry,41.838,-94.0943 +Blairstown,41.9063,-92.0816 +Atalissa,41.5715,-91.1665 +Chapin,42.8352,-93.2221 +Lanyon,42.2225,-94.1952 +Oskaloosa,41.2922,-92.6403 +Leighton,41.3387,-92.7864 +Brandon,42.315,-92.0031 +Camanche,41.7928,-90.2766 +Maloy,40.6732,-94.4119 +Melrose,40.979,-93.0508 +Massena,41.2506,-94.7698 +Arispe,40.948,-94.2192 +Randalia,42.8636,-91.8864 +Northboro,40.608,-95.2937 +Reinbeck,42.3225,-92.5943 +Corley,41.5776,-95.3308 +Chillicothe,41.086,-92.5303 +Churdan,42.1539,-94.4786 +Saint Ansgar,43.3797,-92.9178 +Sully,41.578,-92.8471 +Leon,40.7407,-93.7546 +Hartwick,41.7861,-92.3453 +Dakota City,42.7229,-94.1977 +Coalville,42.4407,-94.1192 +Rake,43.4806,-93.9202 +Lamont,42.5986,-91.6404 +Sioux City,42.4959,-96.3901 +Lamoni,40.6205,-93.9343 +Shambaugh,40.6574,-95.0353 +Protivin,43.2165,-92.0892 +Udell,40.7801,-92.7427 +Lacey,41.4008,-92.6402 +May City,43.3208,-95.4745 +Storm Lake,42.6431,-95.197 +Gilmore City,42.7269,-94.4369 +Arcadia,42.0862,-95.0432 +Moville,42.4895,-96.0679 +Solon,41.8056,-91.4962 +Orchard,43.2273,-92.7751 +Little Cedar,43.3698,-92.7236 +Mitchellville,41.668,-93.3629 +Mount Etna,41.1205,-94.7353 +Peosta,42.4477,-90.8446 +Cascade,42.3018,-91.0046 +Cedar Falls,42.5195,-92.4534 +Chester,43.4918,-92.3639 +Berkley,41.9465,-94.1136 +Beaverdale,40.8537,-91.2077 +Waukee,41.6001,-93.8709 +East Peru,41.227,-93.9295 +Graf,42.4939,-90.8736 +Amber,42.1281,-91.1802 +Truesdale,42.7292,-95.1835 +Mechanicsville,41.9056,-91.2533 +Saratoga,43.3714,-92.406 +Delphos,40.6632,-94.3403 +Seymour,40.6824,-93.1212 +Stilson,43.0383,-93.8852 +Essex,40.8327,-95.3038 +Bronson,42.409,-96.2113 +Red Oak,41.0141,-95.2248 +Fort Dodge,42.5098,-94.1751 +Clio,40.636,-93.4514 +Valeria,41.7297,-93.3258 +Sac City,42.4217,-94.9979 +Muscatine,41.4195,-91.068 +Stennett,41.0897,-95.1944 +Salina,41.0459,-91.8332 +Volga,42.8027,-91.5423 +Superior,43.4337,-94.9466 +Urbana,42.2283,-91.8873 +Crystal Lake,43.223,-93.7927 +Alburnett,42.1494,-91.6209 +Middletown,40.8273,-91.2622 +Fairfield,41.0066,-91.9671 +Prescott,41.0237,-94.613 +Ely,41.8753,-91.585 +Keystone,41.9997,-92.1983 +Meriden,42.7941,-95.6339 +Evansdale,42.4635,-92.2764 +New Virginia,41.1817,-93.7311 +Shelby,41.5067,-95.4506 +Pella,41.4051,-92.9177 +Owasa,42.4317,-93.205 +Bingham,40.7342,-95.2889 +Early,42.4617,-95.1522 +Schleswig,42.1607,-95.4352 +Pleasant Grove,40.9675,-91.2879 +Ellston,40.8405,-94.1088 +Dayton,42.2623,-94.0711 +Woden,43.2308,-93.9115 +Bonaparte,40.7013,-91.8004 +Lake Mills,43.4169,-93.5321 +Oakland,41.3078,-95.3967 +Sherwood,42.3591,-94.7269 +Rudd,43.1275,-92.9046 +Lambs Grove,41.7008,-93.0794 +Bartlett,40.8854,-95.7947 +Ackley,42.5519,-93.0528 +Ames,42.0261,-93.6279 +Ricketts,42.1281,-95.5749 +Scarville,43.4711,-93.6168 +Onslow,42.1073,-91.0153 +Corning,40.9929,-94.7395 +Bradford,42.637,-93.2485 +Searsboro,41.5792,-92.7043 +Eldridge,41.6394,-90.5805 +Brayton,41.5448,-94.9303 +Somers,42.3787,-94.4309 +Little Rock,43.4453,-95.8804 +Osceola,41.0302,-93.783 +Farnhamville,42.2768,-94.4078 +Harlan,41.6496,-95.3268 +Franklin,40.667,-91.5118 +Urbandale,41.639,-93.7814 +McGregor,43.0247,-91.182 +Ashton,43.3089,-95.7926 +Alvord,43.3418,-96.3026 +Coralville,41.699,-91.5967 +Chelsea,41.9205,-92.3945 +Mason City,43.1487,-93.1998 +Iowa Falls,42.519,-93.2662 +Graettinger,43.2371,-94.7504 +Osage,43.2827,-92.8115 +Sanborn,43.1814,-95.6553 +Saint Donatus,42.3624,-90.5419 +Arnolds Park,43.3599,-95.1259 +Greeley,42.5851,-91.3416 +Bennett,41.7401,-90.9736 +Luana,43.0594,-91.4557 +Koszta,41.8272,-92.2055 +Conesville,41.3796,-91.3486 +Jolley,42.4794,-94.7182 +Britt,43.0975,-93.8032 +Cotter,41.294,-91.4658 +Hospers,43.0722,-95.9039 +New Vienna,42.5477,-91.1139 +Balltown,42.6371,-90.87 +Cushing,42.465,-95.6757 +Baxter,41.8252,-93.1525 +Ida Grove,42.3439,-95.4732 +Hawarden,43.0015,-96.4829 +Hubbard,42.3061,-93.3013 +Templeton,41.9181,-94.9417 +Lone Rock,43.2208,-94.3255 +Chatsworth,42.9163,-96.5144 +Hudson,42.432,-92.4519 +Eldorado,43.0505,-91.8354 +Central City,42.2037,-91.5246 +Sloan,42.2323,-96.2258 +Coburg,40.9188,-95.2656 +Gaza,43.0203,-95.58 +Frytown,41.572,-91.7321 +Malcom,41.7076,-92.5575 +Moulton,40.6854,-92.6765 +Hillsboro,40.8374,-91.7125 +Popejoy,42.5939,-93.4278 +Cleghorn,42.8125,-95.7127 +Griswold,41.2343,-95.1392 +Princeton,41.6744,-90.3573 +Rinard,42.3396,-94.485 +Andrew,42.1532,-90.5918 +West Des Moines,41.5527,-93.7805 +Hawkeye,42.9378,-91.9504 +Elk Run Heights,42.4662,-92.2501 +Moorhead,41.9243,-95.8507 +Atlantic,41.3957,-95.0138 +Luxemburg,42.604,-91.0726 +Harper,41.3637,-92.0509 +Onawa,42.0268,-96.0905 +Odebolt,42.3118,-95.2542 +Berwick,41.665,-93.5449 +Wadena,42.8398,-91.6594 +Jacksonville,41.6452,-95.1517 +Bagley,41.8464,-94.4303 +Milton,40.6712,-92.1621 +Lost Nation,41.9666,-90.8167 +Walcott,41.5989,-90.7745 +Farson,41.1222,-92.2552 +Halbur,42.0051,-94.972 +Merrill,42.7207,-96.2525 +Swaledale,42.9765,-93.3154 +Wahpeton,43.3742,-95.1744 +Lisbon,41.9205,-91.3917 +Yorktown,40.7354,-95.1544 +Macedonia,41.1919,-95.4268 +Yarmouth,41.0264,-91.3235 +Melbourne,41.9416,-93.1027 +Plymouth,43.2464,-93.1232 +Troy,40.7486,-92.2027 +Derby,40.9303,-93.4565 +Eldora,42.3606,-93.1013 +Neola,41.4515,-95.6173 +Riverdale,41.5371,-90.4637 +Weldon,40.8973,-93.7355 +Bondurant,41.6986,-93.4546 +Abingdon,41.0822,-92.1391 +New Haven,43.2839,-92.6422 +Edna,43.385,-96.0945 +Kelley,41.9508,-93.6655 +Sherrill,42.6045,-90.7839 +Nodaway,40.9366,-94.8954 +Ellsworth,42.3101,-93.5819 +Sheldahl,41.8643,-93.6966 +Hiawatha,42.0539,-91.6906 +Crescent,41.3655,-95.8581 +Ruthven,43.13,-94.8984 +Earlville,42.4828,-91.2702 +Melvin,43.2864,-95.6086 +Hayesville,41.2646,-92.2477 +Aredale,42.8332,-93.0054 +Watkins,41.8931,-91.985 +Redbird Smith,35.5615,-95.0298 +McAlester,34.9262,-95.7698 +Hendrix,33.7753,-96.4071 +Velma,34.4548,-97.6617 +Pryor,36.3084,-95.3169 +Oil City,34.5231,-98.0731 +Fort Gibson,35.7767,-95.26 +Barnsdall,36.5607,-96.1628 +Big Cabin,36.5401,-95.2221 +Wayne,34.9171,-97.3167 +Shawnee,35.3525,-96.9647 +Ringold,34.2151,-95.1252 +Boley,35.4903,-96.4793 +Hydro,35.5484,-98.5792 +Dodge,36.5789,-94.6385 +Skiatook,36.3693,-95.9815 +Wagoner,35.9641,-95.379 +Ralston,36.5036,-96.7374 +Fairfax,36.5698,-96.708 +Bessie,35.3854,-98.9894 +Jennings,36.1823,-96.569 +Chouteau,36.1882,-95.3362 +Peckham,36.887,-97.1759 +Rush Springs,34.7792,-97.9572 +South Coffeyville,36.9934,-95.6219 +Apache,34.8938,-98.3581 +Sulphur,34.4977,-96.9899 +Dougherty,34.4005,-97.0514 +IXL,35.5227,-96.3881 +Canadian,35.1742,-95.6496 +Centralia,36.7967,-95.3533 +Calvin,34.9672,-96.253 +Texola,35.2222,-99.9929 +Manitou,34.5071,-98.9809 +Bison,36.196,-97.8979 +Keyes,36.8077,-102.2517 +Medford,36.8038,-97.7379 +Cleo Springs,36.4047,-98.44 +Thomas,35.7476,-98.7494 +Kinta,35.1193,-95.2377 +Wilburton,34.9183,-95.3046 +Kenwood,36.3013,-94.9979 +Eldon,35.9305,-94.8179 +Arnett,36.1351,-99.771 +Broken Arrow,36.0365,-95.7808 +Terral,33.8966,-97.9383 +Rosston,36.8128,-99.9328 +Reydon,35.6503,-99.9237 +Tabler,35.0442,-97.8198 +Dwight Mission,35.5466,-94.8594 +Durant,33.9957,-96.3938 +Nuyaka,35.6532,-96.1397 +Corbett,34.9734,-97.2295 +Alfalfa,35.2189,-98.6073 +Council Hill,35.5559,-95.6525 +Remy,35.4578,-94.4984 +Midwest City,35.463,-97.371 +Middleberg,35.1062,-97.735 +Watts,36.1073,-94.5717 +Long,35.4993,-94.547 +Tishomingo,34.2387,-96.6806 +Burlington,36.9001,-98.4234 +Gracemont,35.1878,-98.257 +Gideon,36.0088,-95.036 +Lamar,35.0942,-96.1238 +Zion,35.7853,-94.6378 +Aline,36.5096,-98.4486 +Brooksville,35.2103,-96.9609 +Avery,35.8842,-96.7522 +Goldsby,35.1304,-97.4779 +Orr,34.032,-97.5356 +Roll,35.7792,-99.7115 +Tucker,35.3037,-94.7302 +Ahloso,34.7351,-96.6375 +Stilwell,35.8151,-94.6312 +Reed,34.9006,-99.6957 +Skedee,36.3804,-96.7039 +Francis,34.8743,-96.5926 +Stillwater,36.1315,-97.0739 +Short,35.5664,-94.4936 +Briartown,35.2973,-95.2397 +Kingfisher,35.8439,-97.938 +Freedom,36.7681,-99.1131 +Vian,35.5018,-94.9698 +Dripping Springs,36.171,-94.6852 +Burbank,36.6964,-96.7294 +Norge,34.9892,-97.9941 +Belva,36.4989,-98.9751 +Mustang,35.3917,-97.7245 +Copan,36.9007,-95.9254 +Warner,35.4902,-95.3085 +Piney,35.8875,-94.5536 +Tullahassee,35.8418,-95.4387 +Blanchard,35.1523,-97.6612 +Hardy,36.9709,-96.7984 +Teresita,36.123,-94.9803 +Fort Cobb,35.1043,-98.4417 +Wauhillau,35.8682,-94.7623 +Grayson,35.5053,-95.8718 +Stigler,35.2566,-95.1185 +Cedar Crest,36.1215,-95.1663 +Maud,35.1335,-96.7782 +Copeland,36.6571,-94.8204 +Checotah,35.4821,-95.5224 +Castaneda,36.8811,-102.5213 +Jet,36.6663,-98.1816 +Justice,36.2908,-95.5636 +Mannford,36.1298,-96.3353 +Connerville,34.4436,-96.6359 +Sand Springs,36.1342,-96.1283 +Sallisaw,35.4608,-94.807 +Faxon,34.4603,-98.5793 +Wewoka,35.1441,-96.4967 +Tatums,34.4779,-97.4661 +Flute Springs,35.6231,-94.8044 +Yewed,36.6823,-98.4101 +Yanush,34.7098,-95.3139 +Davidson,34.2421,-99.0779 +Lacey,36.1161,-98.0862 +Dale,35.3842,-97.0435 +Indianapolis,35.5514,-98.8626 +Valley Brook,35.4027,-97.4814 +Alden,34.9753,-98.5853 +Mountain View,35.0994,-98.7501 +Corn,35.3791,-98.7816 +Guthrie,35.8429,-97.4359 +Ninnekah,34.9641,-97.9447 +Soper,34.0322,-95.6963 +Kaw City,36.7682,-96.8629 +Owasso,36.2886,-95.8319 +Hitchita,35.5198,-95.7518 +Keefton,35.5898,-95.3394 +Bernice,36.622,-94.9109 +Foyil,36.4309,-95.5215 +Lane,34.2997,-95.9894 +Wardville,34.655,-96.0309 +Glencoe,36.2313,-96.9303 +Erick,35.2154,-99.8686 +Cowlington,35.3106,-94.7879 +Fair Oaks,36.1441,-95.6959 +Welty,35.6245,-96.4053 +Bray,34.616,-97.8207 +McCurtain,35.1509,-94.9669 +Orlando,36.1359,-97.3651 +Bee,34.1251,-96.5687 +Asher,34.9884,-96.9254 +Oilton,36.0821,-96.5819 +Red Rock,36.4601,-97.1796 +Gould,34.6694,-99.7737 +Healdton,34.2335,-97.4868 +Nash,36.6647,-98.052 +Moodys,36.0312,-94.9577 +Tahlequah,35.9116,-94.9773 +Grand Lake Towne,36.5049,-95.0256 +Purcell,35.018,-97.3747 +Savanna,34.8353,-95.8357 +Blackwell,36.8011,-97.3009 +Albion,34.6623,-95.0992 +Selman,36.802,-99.4909 +Nichols Hills,35.5468,-97.5445 +Greenfield,35.7289,-98.3776 +Calumet,35.6014,-98.1247 +Tyrone,36.9556,-101.0679 +Lebanon,33.9737,-96.9177 +Byron,36.9015,-98.2945 +Orion,36.2167,-98.7787 +Harris,33.7504,-94.7291 +Langston,35.9324,-97.263 +Marland,36.5611,-97.1529 +Sharon,36.2755,-99.3381 +Belfonte,35.5368,-94.5507 +Yale,36.115,-96.7009 +Notchietown,35.5857,-95.0901 +Shidler,36.7808,-96.6596 +Lovell,36.057,-97.6353 +Bruno,34.3443,-96.0753 +Coleman,34.2635,-96.4194 +Turley,36.2473,-95.9654 +Dempsey,35.5175,-99.8229 +Gowen,34.8781,-95.4742 +Wakita,36.8817,-97.9237 +Mounds,35.8791,-96.0681 +Locust Grove,36.1978,-95.1685 +Carpenter,35.5303,-99.3718 +Edmond,35.6689,-97.4159 +Clayton,34.5857,-95.3561 +Seiling,36.1516,-98.9254 +Gore,35.5418,-95.1129 +Vanoss,34.764,-96.872 +Pin Oak Acres,36.1226,-95.2889 +Stafford,35.5367,-99.122 +Chattanooga,34.4243,-98.6541 +Watonga,35.8661,-98.4166 +Lake Aluma,35.5334,-97.4484 +Ringwood,36.3817,-98.2411 +Avant,36.4886,-96.0598 +Ryan,34.0212,-97.9541 +Terlton,36.1857,-96.4904 +Saint Louis,35.0812,-96.8598 +Rentiesville,35.5331,-95.4849 +Quinton,35.1249,-95.3676 +Kendrick,35.7853,-96.7754 +Platter,33.9066,-96.5337 +Mill Creek,34.4021,-96.8249 +Clarita,34.4826,-96.4367 +Sapulpa,36.009,-96.0983 +Tagg Flats,36.3387,-94.9037 +Brinkman,35.0101,-99.5168 +Ballou,36.1421,-95.1998 +Fairmont,36.3552,-97.7044 +Catesby,36.4931,-99.9629 +Olustee,34.5475,-99.4238 +Haskell,35.8187,-95.6805 +Rattan,34.2004,-95.4131 +Monroe,34.9937,-94.5155 +Quapaw,36.9581,-94.7813 +Blue,33.9899,-96.2304 +Wilson,34.1685,-97.426 +Addington,34.2431,-97.9661 +Uncas,36.7956,-96.9298 +Jay,36.4273,-94.7954 +Smith Village,35.4508,-97.457 +Caney,34.2356,-96.217 +Humphreys,34.5559,-99.2373 +Mutual,36.2304,-99.1679 +Gene Autry,34.3152,-97.0385 +Afton,36.6964,-94.958 +Covington,36.3076,-97.5882 +Hester,34.8012,-99.4334 +Warwick,35.6882,-97.0016 +Bowlegs,35.1474,-96.6691 +Hooker,36.8612,-101.216 +Cromwell,35.3635,-96.4571 +Tiawah,36.2483,-95.5362 +Optima,36.762,-101.3497 +Oak Grove,36.2056,-96.3384 +Fitzhugh,34.6581,-96.7665 +Bridge Creek,35.2394,-97.7303 +Longtown,35.2405,-95.5183 +Headrick,34.6268,-99.1373 +Carnegie,35.1024,-98.5995 +Herd,36.8645,-96.2008 +Fittstown,34.6148,-96.6345 +Camargo,36.0179,-99.2883 +Warr Acres,35.5284,-97.6182 +Shattuck,36.2652,-99.8774 +McCord,36.6798,-97.0346 +Nescatunga,36.7543,-98.156 +Cherry Tree,35.7454,-94.6428 +Cache,34.6297,-98.6181 +Hickory,34.557,-96.858 +Boynton,35.6493,-95.6543 +Lawrence Creek,36.0838,-96.4268 +Mooreland,36.4379,-99.2045 +Fort Towson,34.0243,-95.2972 +Eakly,35.3056,-98.5561 +Tegarden,36.7978,-98.9701 +Sasakwa,34.9469,-96.5253 +Kemp,33.7695,-96.3542 +Valliant,34.0043,-95.0895 +Seward,35.7981,-97.4884 +Valley Park,36.2818,-95.7328 +Chewey,36.0905,-94.7385 +Bull Hollow,36.3046,-94.9008 +Cedar Valley,35.8703,-97.5244 +Roff,34.6288,-96.8411 +Pittsburg,34.7116,-95.8502 +New Woodville,33.9689,-96.6549 +Panola,34.9273,-95.2099 +Prue,36.2496,-96.2668 +White Oak,36.6098,-95.2763 +Silo,34.0358,-96.4746 +Byars,34.8724,-97.0541 +Duncan,34.5425,-97.919 +Sparks,35.6113,-96.819 +Rose,36.2123,-95.0382 +Earlsboro,35.3277,-96.8014 +Snyder,34.6553,-98.9533 +Ingersoll,36.7964,-98.3948 +Liberty,35.8601,-95.9753 +Haworth,33.8403,-94.6571 +Texanna,35.3572,-95.5047 +Jefferson,36.7203,-97.7909 +Lookeba,35.363,-98.3638 +Peavine,35.8903,-94.6064 +Rhea,35.8417,-99.2348 +Tipton,34.502,-99.1383 +Byng,34.8659,-96.6678 +Scipio,35.0548,-95.9567 +Wapanucka,34.3736,-96.4253 +Martha,34.7262,-99.3868 +Broken Bow,34.0278,-94.7419 +Weathers,34.6595,-95.5836 +Joy,34.5937,-97.1422 +Empire City,34.4738,-98.0562 +Brushy,35.5578,-94.7434 +Vera,36.4509,-95.8908 +Talala,36.5294,-95.7011 +Idabel,33.9041,-94.8294 +Corum,34.3623,-98.1042 +Twin Oaks,36.1927,-94.8217 +Wheeless,36.7192,-102.8944 +Commerce,36.9317,-94.8705 +Grove,36.5925,-94.7885 +Calera,33.9313,-96.4299 +Canute,35.422,-99.2776 +Crowder,35.1156,-95.6788 +Old Eucha,36.3551,-94.9379 +Fanshawe,34.9733,-94.856 +Alva,36.7892,-98.6648 +Hollister,34.3413,-98.8706 +Komalty,35.0476,-98.9904 +Buffalo,36.8373,-99.6464 +Carleton,36.015,-98.5204 +Sunray,34.4126,-97.965 +Lucien,36.2747,-97.4551 +Cambridge,35.0728,-99.2054 +Clinton,35.5058,-98.9723 +Indianola,35.1635,-95.7761 +Goodwell,36.5943,-101.6326 +Wyandotte,36.7925,-94.7231 +Collinsville,36.3723,-95.8601 +Whitefield,35.2546,-95.2391 +Braggs,35.6631,-95.1985 +Tamaha,35.4058,-95.018 +Slaughterville,35.091,-97.2879 +Grady,34.0204,-97.6656 +Medicine Park,34.7295,-98.4852 +Zafra,34.5084,-94.4886 +Ketchum,36.526,-95.0387 +Poteau,35.0431,-94.6356 +Cyril,34.8986,-98.2031 +Blanco,34.7507,-95.7736 +Cherokee,36.7547,-98.3551 +Burns Flat,35.3548,-99.1751 +Hugo,34.0121,-95.5115 +Henryetta,35.4421,-95.9848 +Krebs,34.93,-95.72 +Vinson,34.9006,-99.8598 +Wainwright,35.6133,-95.5657 +Aqua Park,35.6204,-95.0761 +Waynoka,36.585,-98.8784 +Grandfield,34.2304,-98.6876 +Glenpool,35.9484,-96.0052 +Park Hill,35.8546,-94.9559 +Slapout,36.6159,-100.1087 +Leach,36.1979,-94.9099 +Okay,35.854,-95.3143 +Winchester,35.7906,-95.9983 +Pauls Valley,34.7236,-97.2291 +Hoffman,35.4889,-95.8449 +Fort Coffee,35.2942,-94.5726 +Turpin,36.8705,-100.8825 +Willow,35.0514,-99.5099 +Ravia,34.2407,-96.7566 +Paoli,34.8261,-97.2618 +Gerty,34.8357,-96.289 +Alderson,34.9008,-95.69 +Atwood,34.9549,-96.3367 +Christie,35.9675,-94.6549 +Hobart,35.0246,-99.0875 +Millerton,33.9832,-95.0177 +Lahoma,36.3881,-98.0888 +Lawton,34.6171,-98.4204 +Caddo,34.1288,-96.2678 +Hastings,34.2242,-98.1087 +Carney,35.8065,-97.0154 +Gans,35.3874,-94.695 +Forgan,36.9068,-100.5377 +Fallis,35.7498,-97.1183 +Fairvalley,36.7356,-99.0245 +Tryon,35.8816,-96.9655 +Ratliff City,34.4492,-97.5155 +Pocasset,35.178,-97.9592 +Goltry,36.5319,-98.1514 +Fletcher,34.8224,-98.2391 +Burton,36.7984,-102.1613 +Lima,35.1738,-96.5984 +Blackgum,35.6112,-94.99 +Cheyenne,35.6103,-99.6781 +Coalgate,34.5323,-96.2208 +Waukomis,36.2833,-97.9038 +Sayre,35.2973,-99.6284 +Purdy,34.7159,-97.5875 +Eucha,36.392,-94.883 +Dibble,35.0151,-97.6275 +Welling,35.8561,-94.8457 +Amorita,36.924,-98.2936 +Erin Springs,34.8113,-97.6055 +Nicut,35.5986,-94.5626 +Walters,34.3612,-98.3563 +Overbrook,34.0673,-97.1411 +Westport,36.1953,-96.3354 +Crawford,35.827,-99.7996 +Kremlin,36.5466,-97.8324 +Arpelar,34.9356,-95.9589 +Salt Fork,36.635,-97.5889 +Shamrock,35.9113,-96.5772 +Cayuga,36.6252,-94.6542 +Murphy,36.1337,-95.2409 +Albert,35.2328,-98.4114 +Stroud,35.768,-96.6474 +Devol,34.1954,-98.5882 +Spaulding,35.0132,-96.4406 +Antioch,34.7251,-97.4056 +Morrison,36.2923,-97.0325 +Wetumka,35.241,-96.2389 +Lost City,36.0006,-95.1223 +Dewey,36.7915,-95.9328 +Jones,35.5662,-97.2901 +Pierce,35.4348,-95.7164 +White Bead,34.7634,-97.302 +Okemah,35.4297,-96.3005 +Retrop,35.1598,-99.3598 +Waurika,34.1846,-98.0245 +Geronimo,34.4851,-98.3891 +Sycamore,36.394,-94.716 +Frederick,34.3709,-99.001 +Titanic,35.8889,-94.7434 +Welch,36.8738,-95.0947 +Loyal,35.9727,-98.1184 +Phillips,34.5041,-96.2231 +Mead,34.0008,-96.511 +Boone,34.8987,-98.462 +Mocane,36.8936,-100.3726 +Gregory,36.1697,-95.5741 +Conrad,36.6153,-102.3735 +Oklahoma City,35.4676,-97.5136 +Lindsay,34.8392,-97.6104 +Zeb,35.8061,-95.0438 +Cimarron City,35.8887,-97.6022 +Boyd,36.7034,-100.8282 +Hammon,35.6323,-99.3832 +Ardmore,34.1945,-97.1252 +Prague,35.4997,-96.6998 +Sweetwater,35.4222,-99.9116 +Union City,35.4015,-97.9047 +Loco,34.3295,-97.6807 +Claremore,36.3144,-95.61 +Summit,35.6678,-95.4218 +Logan,36.5728,-100.2174 +Talihina,34.7523,-95.041 +Maysville,34.8544,-97.3878 +Yukon,35.5201,-97.7639 +Herring,35.61,-99.5179 +Garvin,33.9559,-94.9349 +Wynona,36.5458,-96.3267 +Elmore City,34.6299,-97.3909 +Bokoshe,35.1908,-94.7902 +Bixby,35.9454,-95.8774 +Colbert,33.8578,-96.5043 +Hulah,36.9287,-96.0353 +Cordell,35.2906,-98.9884 +Mangum,34.8783,-99.504 +Paradise Hill,35.6135,-95.0703 +Nardin,36.8043,-97.4499 +Fort Supply,36.5722,-99.5736 +Roland,35.415,-94.513 +Woodlawn Park,35.5096,-97.6499 +Gate,36.8517,-100.0552 +Powell,33.9551,-96.8625 +Cornish,34.1637,-97.5967 +Ringling,34.1784,-97.592 +Tenkiller,35.7975,-94.8656 +Tulsa,36.1284,-95.9042 +Haileyville,34.8542,-95.5784 +Hough,36.8709,-101.5771 +Etowah,35.1291,-97.164 +Kansas,36.2057,-94.789 +Spavinaw,36.3927,-95.0501 +Harrah,35.4796,-97.1866 +Noble,35.1385,-97.371 +Deer Creek,36.8068,-97.5193 +Dickson,34.1876,-96.997 +Atoka,34.3856,-96.1313 +Narcissa,36.801,-94.9279 +Webbers Falls,35.5122,-95.1603 +Muskogee,35.743,-95.3566 +Luther,35.668,-97.1905 +Coyle,35.954,-97.2389 +Bokchito,34.0179,-96.1416 +Verden,35.0831,-98.0872 +Lexington,35.0179,-97.3345 +Laverne,36.7053,-99.8971 +Crystal,34.2268,-95.9303 +Kiowa,34.7223,-95.9018 +Horntown,35.0869,-96.2476 +Clearview,35.3971,-96.1908 +Tribbey,35.0992,-97.0937 +Agra,35.895,-96.8702 +Lotsee,36.1334,-96.2091 +Bluejacket,36.8008,-95.074 +Moore,35.3294,-97.4758 +Armstrong,34.0528,-96.3446 +Foraker,36.8721,-96.5692 +Chickasha,35.041,-97.9472 +Scraper,35.9643,-94.8912 +Lone Grove,34.1809,-97.2559 +Manchester,36.9944,-98.0351 +McWillie,36.5359,-98.3545 +Sand Creek,36.8403,-98.0198 +Allen,34.8774,-96.413 +Burneyville,33.9055,-97.2913 +Preston,35.7115,-95.9917 +Brent,35.364,-94.788 +Grainola,36.9379,-96.6488 +Cashion,35.8039,-97.6753 +Grant,33.9387,-95.5157 +Fox,34.3637,-97.4922 +Bennington,34.0038,-96.0374 +Spring Creek,35.2617,-98.1834 +Notiechtown,35.5857,-95.0901 +Foster,34.5941,-97.4928 +Moyers,34.3262,-95.6536 +Seminole,35.2346,-96.65 +Butler,35.595,-99.1809 +Binger,35.3105,-98.3434 +Hinton,35.4797,-98.3589 +Brush Creek,36.4164,-94.7842 +Oaks,36.1695,-94.8526 +Boise City,36.7309,-102.5112 +Akins,35.5043,-94.67 +Leflore,34.8985,-94.9759 +Cox City,34.7254,-97.7317 +Okeene,36.1171,-98.3165 +Blair,34.7798,-99.333 +Catoosa,36.1832,-95.7662 +Drummond,36.3012,-98.0358 +Macomb,35.1479,-97.0087 +Pettit,35.7656,-94.9692 +Berlin,35.4506,-99.6254 +Porter,35.8683,-95.5202 +Konawa,34.9582,-96.7535 +Dewar,35.4583,-95.9476 +Peggs,36.0672,-95.0718 +Rock Island,35.1831,-94.4811 +Whitesboro,34.6965,-94.879 +Rocky Ford,36.1749,-94.9113 +Ponca City,36.7236,-97.0679 +Isabella,36.2354,-98.3354 +Johnson,35.4056,-96.8418 +Blackburn,36.3731,-96.5965 +Bridgeport,35.5476,-98.3775 +Spencerville,34.1423,-95.3583 +Paden,35.5076,-96.5665 +Putnam,35.8559,-98.9679 +Stonewall,34.6515,-96.5256 +Stecker,34.9576,-98.3159 +Orienta,36.36,-98.474 +Panama,35.1715,-94.6707 +Friendship,34.6979,-99.2287 +Meeker,35.4853,-96.8951 +Zena,36.5129,-94.8454 +Del City,35.4483,-97.4408 +Blocker,35.0615,-95.5683 +Nowata,36.6989,-95.638 +Sequoyah,36.3797,-95.5969 +Watova,36.6173,-95.6558 +Thackerville,33.7935,-97.1426 +Lehigh,34.4707,-96.2209 +Stratford,34.7952,-96.9602 +Beaver,36.8151,-100.5235 +Carlisle,35.5042,-95.0323 +Weleetka,35.342,-96.1354 +Cleora,36.5738,-94.948 +Forest Park,35.5095,-97.4469 +Balko,36.63,-100.6849 +Delaware,36.7789,-95.6426 +Dry Creek,35.7275,-94.8703 +Proctor,35.9759,-94.7511 +Clyde,36.8464,-97.8212 +Bromide,34.418,-96.4949 +Longdale,36.1337,-98.5511 +Temple,34.2729,-98.2352 +Disney,36.477,-95.0195 +Lone Wolf,34.9904,-99.2457 +Garber,36.4365,-97.581 +Cloud Creek,36.2712,-94.79 +Meers,34.7828,-98.579 +Lambert,36.6832,-98.4237 +Cement,34.9362,-98.1363 +Spencer,35.5108,-97.3715 +Trail,35.9687,-99.2968 +Marietta,33.9355,-97.1242 +Goodwater,33.9101,-94.5733 +McBride,33.9354,-96.6333 +Dotyville,36.8514,-94.9097 +Knowles,36.8731,-100.1931 +Renfrow,36.9248,-97.657 +Depew,35.8009,-96.5076 +Adams,36.7564,-101.0771 +Newkirk,36.8816,-97.0554 +Vici,36.1486,-99.2994 +Hardesty,36.6147,-101.1936 +Bethany,35.5072,-97.6417 +Mayfield,35.3389,-99.8768 +Eagle City,35.9331,-98.5917 +Douglas,36.2604,-97.6675 +Stuart,34.901,-96.0995 +Colcord,36.2647,-94.692 +Sumner,36.3189,-97.1214 +Snake Creek,36.1786,-95.0937 +Davenport,35.7094,-96.7643 +Shady Point,35.1278,-94.6687 +Greasy,35.6821,-94.7177 +Elgin,34.7848,-98.301 +Marshall,36.1555,-97.6257 +Bokhoma,33.8229,-94.583 +Broxton,34.9859,-98.4092 +Westville,35.9903,-94.5743 +Salem,35.7611,-94.5755 +Choctaw,35.48,-97.2666 +Cleveland,36.3002,-96.4631 +Cole,35.0992,-97.5663 +Elk City,35.3849,-99.4333 +Central High,34.617,-98.0892 +Cumberland,34.0645,-96.5997 +Spiro,35.2412,-94.6229 +Kenefic,34.1501,-96.3642 +Dacoma,36.6596,-98.5635 +Slick,35.7788,-96.2681 +Achille,33.8347,-96.3901 +Meno,36.3882,-98.1779 +Jenks,35.9981,-95.9737 +Courtney,33.9404,-97.5084 +Briggs,35.921,-94.9 +Arapaho,35.5779,-98.9593 +Chandler,35.7237,-96.8951 +Ochelata,36.6011,-95.9807 +Rocky Mountain,35.7936,-94.778 +Latta,34.7532,-96.7088 +Hunter,36.5637,-97.6625 +Bushyhead,36.4596,-95.5164 +Miami,36.8877,-94.8718 +Keota,35.2569,-94.9224 +Fairview,36.2705,-98.4771 +Oologah,36.4436,-95.7085 +Pond Creek,36.6675,-97.8029 +The Village,35.5706,-97.5566 +Quinlan,36.4545,-99.0454 +Springer,34.2909,-97.1255 +Cold Springs,34.7959,-99.0051 +Driftwood,36.8792,-98.3595 +Hominy,36.4221,-96.393 +Leedey,35.8688,-99.345 +Bristow,35.8338,-96.3941 +Drumright,35.9893,-96.599 +Hollis,34.6895,-99.9153 +Morris,35.6152,-95.8624 +El Reno,35.543,-97.966 +Chilocco,36.9889,-97.0698 +Ashland,34.7668,-96.0706 +Curtis,36.4392,-99.1426 +Sawyer,34.0206,-95.3773 +Carmen,36.5791,-98.4578 +Red Bird,35.8857,-95.5889 +Grimes,35.4662,-99.7609 +Pawhuska,36.6687,-96.3312 +Yeager,35.1567,-96.34 +Carter,35.2175,-99.5038 +Alsuma,36.0951,-95.8636 +Tuskahoma,34.6272,-95.2779 +Stoney Point,35.5847,-94.6635 +Perkins,35.978,-97.0299 +Bearden,35.3568,-96.3853 +Howe,34.95,-94.6408 +Lula,34.7006,-96.4322 +Lenora,36.0412,-99.062 +Dennis,36.5433,-94.8693 +Pink,35.2326,-97.1001 +Albany,33.8769,-96.16 +Tecumseh,35.2639,-96.9338 +Wanette,34.9626,-97.0319 +McQueen,34.6667,-99.7018 +Webb City,36.8074,-96.7119 +Beggs,35.777,-96.0279 +Mulhall,36.0918,-97.3603 +Capron,36.8966,-98.5776 +Muldrow,35.404,-94.5969 +Sterling,34.7498,-98.1729 +Cestos,36.1442,-99.0937 +Fay,35.8134,-98.6579 +Indiahoma,34.6196,-98.7521 +Langley,36.4707,-95.0539 +Randlett,34.1773,-98.4639 +Leonard,35.9204,-95.7994 +Breckinridge,36.4622,-97.7273 +Criner,34.9715,-97.5645 +Newcastle,35.2404,-97.5998 +Roosevelt,34.8477,-99.0227 +Coweta,35.9678,-95.6538 +McLoud,35.407,-97.1014 +Harmon,36.1448,-99.5604 +Sperry,36.2978,-95.9917 +Hitchcock,35.9676,-98.3497 +Heavener,34.8919,-94.6075 +Adair,36.4366,-95.2727 +Bethel Acres,35.3048,-97.037 +Sturgis,36.8939,-102.0702 +Arkoma,35.3374,-94.4438 +Taloga,36.0403,-98.9642 +Okmulgee,35.6137,-96.0068 +Lugert,34.8959,-99.2754 +Stringtown,34.4696,-96.0548 +Canton,36.055,-98.5884 +Hallett,36.2316,-96.5679 +Colony,35.3487,-98.6714 +Cogar,35.3339,-98.1306 +Cartwright,33.8555,-96.5611 +Bradley,34.878,-97.7087 +Pernell,34.5615,-97.51 +Sentinel,35.1571,-99.1736 +Elmwood,36.6164,-100.5226 +West Peavine,35.9133,-94.6481 +Enid,36.4061,-97.8701 +Guymon,36.6901,-101.4778 +Burmah,35.827,-99.0748 +Perry,36.2849,-97.3079 +Eufaula,35.2922,-95.5862 +Oakhurst,36.0827,-96.064 +Tom,33.7359,-94.573 +Cooperton,34.8662,-98.8759 +Babbs,34.9484,-99.0595 +Fairland,36.7507,-94.8481 +Fargo,36.3741,-99.6219 +Piedmont,35.6784,-97.7528 +Meridian,35.844,-97.2456 +Pocola,35.2456,-94.4774 +Cookietown,34.2751,-98.4534 +Nelagoney,36.6265,-96.2422 +Pickens,34.3965,-95.0119 +Kenton,36.9064,-102.9652 +Peoria,36.9152,-94.6699 +Lamont,36.6912,-97.5582 +West Siloam Springs,36.1755,-94.5941 +Lequire,35.1098,-95.1065 +Honobia,34.539,-94.9375 +Tuttle,35.3071,-97.756 +Strang,36.4122,-95.1345 +Box,35.5784,-94.9717 +Gray,36.5584,-100.8238 +Arcadia,35.6655,-97.3255 +Tonkawa,36.6787,-97.3281 +Mannsville,34.1857,-96.8974 +Verdigris,36.2535,-95.6603 +Baker,36.8695,-101.0179 +Hennepin,34.509,-97.347 +Washington,35.0582,-97.4923 +Ripley,36.0169,-96.9046 +Chester,36.2165,-98.9208 +Davis,34.4579,-97.1653 +Sportsmen Acres,36.2458,-95.2515 +Swink,34.0168,-95.2022 +Moorewood,35.7403,-99.349 +Nicoma Park,35.4913,-97.3254 +Amber,35.1601,-97.882 +Braman,36.9237,-97.3352 +Mouser,36.8706,-101.4152 +Hoot Owl,36.36,-95.1214 +Oglesby,36.6265,-95.8567 +Altus,34.6566,-99.3051 +Octavia,34.5268,-94.703 +Red Oak,34.9508,-95.0814 +Smithville,34.4689,-94.6462 +Wellston,35.6861,-97.0616 +Cameron,35.1351,-94.5358 +Avard,36.6989,-98.789 +Foss,35.45,-99.1707 +Strong City,35.6699,-99.6003 +Katie,34.5833,-97.3388 +Limestone,36.3144,-95.7477 +Geary,35.5927,-98.2914 +Felt,36.5634,-102.7949 +Salina,36.2907,-95.1519 +Baron,35.9237,-94.6163 +Moffett,35.4043,-94.4555 +Anadarko,35.0652,-98.2441 +North Enid,36.4457,-97.8634 +Elmer,34.4808,-99.3521 +Sugden,34.0826,-97.9788 +Fairfield,35.8407,-94.6062 +Gage,36.3182,-99.7577 +Oktaha,35.5776,-95.4778 +Ada,34.7682,-96.6689 +Agawam,34.8734,-97.9462 +Shady Grove,35.4443,-95.4091 +Hennessey,36.1056,-97.8989 +Redden,34.5065,-95.8447 +Finley,34.3284,-95.495 +Floris,36.8697,-100.7113 +Antlers,34.2325,-95.6214 +Centrahoma,34.6104,-96.3437 +Norman,35.2335,-97.3471 +Keys,35.8056,-94.9425 +Woodall,35.8246,-95.0823 +Weatherford,35.5385,-98.6872 +Hulbert,35.9315,-95.1436 +Tushka,34.3178,-96.1677 +Billings,36.5313,-97.4342 +Ames,36.2471,-98.1866 +Stidham,35.3686,-95.7008 +Evening Shade,35.6195,-94.9103 +Homestead,36.1498,-98.394 +Gotebo,35.0711,-98.8744 +Holdenville,35.0836,-96.4004 +Rocky,35.156,-99.0594 +Okarche,35.7189,-97.9757 +Southard,36.0559,-98.4754 +Madill,34.0867,-96.7742 +Custer City,35.6637,-98.8869 +Rosedale,34.919,-97.1856 +Schulter,35.5109,-95.9567 +McKnight,34.7662,-99.9123 +Boswell,34.0281,-95.8684 +Castle,35.4753,-96.3835 +Chelsea,36.5323,-95.4355 +Gray Horse,36.5498,-96.6478 +Golden,34.0346,-94.8963 +Osage,36.2948,-96.4179 +Bell,35.7544,-94.5349 +Woodward,36.4246,-99.4059 +Hopeton,36.6881,-98.6659 +Minco,35.3174,-97.9517 +Texhoma,36.505,-101.7829 +Leon,33.8772,-97.4291 +Helena,36.5466,-98.2714 +Wister,34.9695,-94.7206 +North Miami,36.92,-94.8797 +Cushing,35.9797,-96.7602 +Speer,34.1134,-95.5558 +Iron Post,36.1557,-95.1351 +Porum,35.3568,-95.2634 +Kellyville,35.9482,-96.2142 +Kingston,33.9979,-96.6951 +Oakwood,35.9314,-98.7031 +Wann,36.9146,-95.8047 +Pensacola,36.4556,-95.1292 +Eldorado,34.473,-99.6498 +Mazie,36.1425,-95.3303 +Boatman,36.2584,-95.1844 +Granite,34.9561,-99.3703 +Vinita,36.6364,-95.1768 +Lenapah,36.8515,-95.6356 +Center,34.7993,-96.8156 +Eagletown,34.0417,-94.57 +Flint Creek,36.1764,-94.7438 +Burt,34.4504,-99.0809 +Ramona,36.5321,-95.926 +Dill City,35.282,-99.1335 +May,36.6174,-99.7484 +Wright City,34.0646,-95.0075 +Rufe,34.1237,-95.1441 +Bowring,36.8781,-96.12 +Duke,34.6615,-99.5701 +Hartshorne,34.8389,-95.5585 +Carlton Landing,35.2046,-95.5448 +Simms,35.3987,-95.1647 +Bartlesville,36.7356,-95.9451 +Kiefer,35.9439,-96.0527 +Eva,36.7984,-101.9068 +Pinhook Corner,35.5314,-94.891 +Mountain Park,34.6989,-98.9523 +Maramec,36.2419,-96.6806 +Alluwe,36.6104,-95.4872 +Milburn,34.2401,-96.552 +Dustin,35.2712,-96.032 +Wynnewood,34.6442,-97.1627 +Alex,34.9227,-97.7763 +Hanna,35.2042,-95.8896 +Hillsdale,36.5634,-97.9927 +Marble City,35.5824,-94.8186 +Inola,36.1315,-95.5373 +Nashoba,34.482,-95.2152 +Pearson,35.0729,-96.9178 +Carrier,36.4786,-98.0172 +Duchess Landing,35.3985,-95.4165 +Kildare,36.8083,-97.0499 +Loveland,34.3046,-98.7708 +Page,34.7107,-94.5497 +Dover,35.9814,-97.9106 +Comanche,34.3597,-97.9478 +Marlow,34.6297,-97.9579 +Taft,35.7607,-95.5455 +Tupelo,34.6024,-96.4204 +Pawnee,36.3363,-96.8019 +Crescent,35.9522,-97.594 +Oakland,34.0975,-96.7978 +Creta,34.5167,-99.5498 +Picture Rocks,32.3274,-111.2557 +Pantano,31.9995,-110.5801 +Continental,31.8523,-110.9748 +Calva,33.1806,-110.1865 +Scottsdale,33.6872,-111.865 +Iron Springs,34.5847,-112.5699 +Flagstaff,35.1872,-111.6195 +Nogales,31.3624,-110.9336 +Laveen,33.3628,-112.1693 +Valle,35.6245,-112.135 +Ak-Chin Village,33.0197,-112.0808 +Hotevilla-Bacavi,35.9225,-110.6569 +Jacob Lake,36.7133,-112.2163 +Keams Canyon,35.8229,-110.2011 +Tuba City,36.125,-111.2467 +Cortaro,32.3562,-111.0884 +Tolleson,33.4484,-112.2561 +Chandler Heights,33.212,-111.6862 +Rillito,32.4157,-111.1549 +Hereford,31.4384,-110.0979 +Griffith,35.0667,-114.1166 +Wittmann,33.775,-112.5251 +Kinter,32.7573,-114.398 +Gila Bend,32.9662,-112.7155 +Oro Valley,32.4223,-110.9767 +Saint Johns,34.5018,-109.3784 +Blackwater,33.0396,-111.5798 +Cactus Forest,32.9578,-111.317 +Pirtleville,31.3613,-109.5661 +Greasewood,35.5279,-109.8614 +Second Mesa,35.8222,-110.4884 +Fort Defiance,35.7469,-109.0685 +Antares,35.423,-113.8083 +Rio Rico,31.4957,-110.9886 +Sevenmile,33.7882,-109.9576 +Cienega Springs,34.2009,-114.2089 +Greer,34.0054,-109.4611 +Oatman,35.0273,-114.3839 +Salome,33.7778,-113.6061 +Verde Village,34.712,-111.994 +Berry,35.2528,-113.9719 +Star Valley,34.2611,-111.2197 +Pima,32.8886,-109.8436 +Chuichu,32.7403,-111.7821 +Tolani Lake,35.4309,-110.8431 +Black Canyon City,34.0709,-112.122 +Quartzsite,33.6675,-114.217 +Canyon Diablo,35.1628,-111.1176 +Beaver Dam,36.9071,-113.9363 +Sil Nakya,32.2217,-111.8165 +Fort Thomas,33.0222,-109.9665 +Arizona Village,34.8548,-114.5893 +Green Valley,31.8437,-111.0172 +El Mirage,33.5905,-112.3271 +Wenden,33.8324,-113.5433 +Aripine,34.4084,-110.431 +Saint Michaels,35.6606,-109.0962 +Tonopah,33.488,-112.9308 +Guadalupe,33.3664,-111.9633 +Gisela,34.1015,-111.2895 +Paulden,34.8899,-112.4938 +Manila,34.965,-110.4135 +Cornfields,35.6513,-109.6758 +Fort Apache,33.7907,-109.9873 +San Manuel,32.6091,-110.6415 +Sanders,35.2095,-109.3224 +Kelvin,33.1115,-110.9734 +White Hills,35.7242,-114.4004 +Wilhoit,34.4082,-112.6156 +Whetstone,31.7011,-110.3398 +Queen Creek,33.2368,-111.6393 +Vernon,34.2509,-109.6926 +Sun Lakes,33.2172,-111.8695 +Katherine,35.2206,-114.5616 +Gleeson,31.734,-109.8298 +Lake Montezuma,34.6414,-111.796 +La Palma,32.8792,-111.5151 +Claypool,33.406,-110.8421 +York,32.9175,-109.196 +Hibbard,34.97,-110.5185 +Red Rock,32.561,-111.3745 +Willow Valley,34.9296,-114.6159 +Fredonia,36.9633,-112.5199 +Rough Rock,36.4106,-109.8691 +Bacavi,35.9236,-110.6574 +Pinetop-Lakeside,34.1486,-109.9658 +Buckeye,33.4318,-112.643 +Top-of-the-World,33.3477,-110.9997 +Safford,32.8318,-109.7005 +Seligman,35.3256,-112.8573 +Show Low,34.2671,-110.0384 +Leupp,35.2966,-111.0027 +Coolidge,32.9398,-111.526 +Harcuvar,33.76,-113.6533 +San Simon,32.268,-109.2308 +Bitter Springs,36.6118,-111.6475 +Eloy,32.747,-111.5991 +Yucca,34.863,-114.1461 +Sun City West,33.6693,-112.3575 +Sawmill,35.8924,-109.1538 +Williamson,34.7082,-112.5342 +Bear Flat,34.2925,-111.0674 +Christmas,33.0623,-110.7426 +Dragoon,32.0263,-110.0365 +Lake of the Woods,34.1547,-109.9936 +Hope,33.7231,-113.7024 +Tonto Village,34.3198,-111.1395 +Tortilla Flat,33.5264,-111.3899 +Why,32.259,-112.7307 +First Mesa,35.8389,-110.3665 +Pinal,33.3799,-110.7575 +Concho,34.4744,-109.6102 +Tubac,31.6111,-111.0586 +Dudleyville,32.9128,-110.7345 +Truxton,35.487,-113.5607 +Tombstone,31.7234,-110.0783 +Mescal,31.9675,-110.4367 +White Mountain Lake,34.3441,-109.9878 +Komatke,33.2953,-112.1615 +Stanfield,32.8793,-111.9636 +Walapai,35.3444,-113.8841 +Jakes Corner,34.0083,-111.3203 +Many Farms,36.3532,-109.6272 +Teec Nos Pos,36.9221,-109.0753 +Queen Valley,33.283,-111.3049 +San Miguel,31.6295,-111.7801 +Bowie,32.3249,-109.4844 +Arlington,33.3346,-112.7747 +Lupton,35.3548,-109.0528 +Summerhaven,32.4416,-110.7766 +Mountainaire,35.0921,-111.6493 +Rio Verde,33.7278,-111.674 +Dos Cabezas,32.1754,-109.6134 +Leupp Corner,35.0742,-110.8579 +Kearny,33.0564,-110.9074 +Harris,35.1369,-114.0838 +Marana,32.4355,-111.1558 +Tucson Estates,32.1792,-111.1254 +Peridot,33.3016,-110.4554 +Wikieup,34.6931,-113.5996 +Perkinsville,34.9017,-112.1913 +Miami,33.3951,-110.8722 +Aztec,32.8082,-113.4428 +Gold Canyon,33.3715,-111.4369 +Parker,34.0286,-114.2224 +Arizona City,32.7506,-111.6707 +Picacho,32.709,-111.4907 +Kaibito,36.592,-111.1071 +Canyon Day,33.7826,-110.0328 +Florence Junction,33.2595,-111.3371 +Holbrook,34.9044,-110.1672 +Haivana Nakya,32.0051,-111.7124 +Vail,32.0217,-110.6937 +McNeal,31.6079,-109.6699 +Morenci,33.0531,-109.3307 +Gila Crossing,33.273,-112.1627 +Catalina Foothills,32.3041,-110.8835 +Ray,33.1834,-110.9976 +Superior,33.2851,-111.111 +Maricopa,33.0404,-112.0005 +Duncan,32.7344,-109.0972 +Tonto Basin,33.8361,-111.3003 +Overgaard,34.3909,-110.5532 +Dateland,32.8209,-113.5418 +Granville,33.189,-109.3826 +Kaibab,36.8815,-112.7237 +Chloride,35.4097,-114.1972 +Sedona,34.8574,-111.7951 +Vaiva Vo,32.7166,-111.9269 +Palo Verde,33.3481,-112.6774 +Utting,33.8544,-113.9128 +Ali Chukson,31.9115,-111.8016 +McNary,34.0924,-109.8541 +Kachina Village,35.0949,-111.6926 +Ehrenberg,33.6174,-114.4883 +LeChee,36.871,-111.4328 +Avondale,33.3858,-112.3236 +Alpine,33.8461,-109.1431 +Bylas,33.1282,-110.1154 +Kino Springs,31.3642,-110.8096 +Bryce,32.9258,-109.8229 +Peeples Valley,34.2773,-112.7653 +Littlefield,36.8663,-113.9358 +Tucson,32.1546,-110.8782 +Gu Oidak,31.9206,-112.0235 +Arivaca Junction,31.739,-111.0738 +Polacca,35.8367,-110.3815 +Horn,32.9448,-113.5032 +Wickenburg,33.9838,-112.7664 +Aguila,33.9376,-113.1665 +Palominas,31.3838,-110.1211 +Blaisdell,32.7125,-114.4266 +Crozier,35.4227,-113.6486 +Curtiss,31.8845,-110.2298 +Gilbert,33.3103,-111.7463 +Window Rock,35.6705,-109.0639 +San Carlos,33.35,-110.4654 +Tees Toh,35.4849,-110.3989 +Prescott Valley,34.5982,-112.3178 +Congress,34.1526,-112.8642 +Shonto,36.5893,-110.6607 +Swift Trail Junction,32.7305,-109.7147 +Wintersburg,33.4187,-112.8666 +Mesa,33.4017,-111.7181 +Penzance,34.9053,-110.2548 +Roosevelt,33.6618,-111.1295 +Summit,32.0619,-110.9483 +Houck,35.2714,-109.2237 +Oracle,32.6085,-110.7826 +Happy Jack,34.7434,-111.4074 +Catalina,32.4849,-110.8996 +Cave Creek,33.8513,-111.9801 +Bouse,33.8984,-113.9962 +Hillside,34.4184,-112.9171 +Magma,33.1317,-111.4993 +Dilkon,35.3606,-110.3155 +Lukachukai,36.4112,-109.2267 +Spring Valley,34.3531,-112.1514 +North Komelik,32.5078,-111.9465 +Littletown,32.1305,-110.8728 +Bosque,32.9664,-112.5982 +Peach Springs,35.5315,-113.4319 +Douglas,31.3602,-109.5394 +Lochiel,31.3357,-110.624 +Three Points,32.0596,-111.2865 +Gray Mountain,35.7458,-111.4735 +Ajo,32.3923,-112.8839 +Huachuca City,31.6308,-110.3422 +Comobabi,32.0538,-111.8029 +Parker Strip,34.2803,-114.1269 +Apache Junction,33.3985,-111.5351 +Pinedale,34.3208,-110.2599 +Supai,36.2299,-112.6926 +Tat Momoli,32.6013,-111.8862 +Olberg,33.0923,-111.6862 +Sonoita,31.6645,-110.6426 +Geronimo,33.077,-110.0351 +Kirkland Junction,34.3692,-112.6652 +Marble Canyon,36.8155,-111.6377 +Strawberry,34.4018,-111.5002 +Prescott,34.5849,-112.4475 +Bumble Bee,34.2009,-112.1529 +Rock Springs,34.0489,-112.1485 +Sehili,36.2807,-109.1815 +Bisbee,31.4126,-109.9179 +Growler,32.8156,-113.7991 +Sun City,33.6165,-112.2819 +Cottonwood,34.7194,-112.0015 +Whiteriver,33.8358,-109.9616 +Ligurta,32.6745,-114.2949 +Yarnell,34.2282,-112.7631 +Sierra Vista,31.563,-110.3153 +Sunflower,33.8642,-111.4676 +Anthem,33.856,-112.1168 +Bullhead City,35.1205,-114.546 +Sacaton,33.0793,-111.7683 +Morristown,33.8548,-112.6136 +Roll,32.7517,-113.9891 +Kirkland,34.4175,-112.7121 +Cibecue,34.0333,-110.4854 +Ventana,32.4681,-112.2434 +Big Springs,36.6017,-112.3499 +Flores,34.0625,-112.8216 +Joseph City,34.9614,-110.3274 +Golden Valley,35.206,-114.2327 +Grand Canyon,36.0544,-112.1393 +Flowing Springs,34.3131,-111.3379 +Tonalea,36.3218,-110.9667 +Cane Beds,36.9342,-112.9118 +Fortuna Foothills,32.6616,-114.3973 +Midway,32.6337,-112.8552 +Mohave Valley,34.9008,-114.5732 +Pearce,31.9051,-109.8206 +Casa Grande,32.907,-111.7624 +Desert Hills,34.5506,-114.3754 +Franconia,34.7395,-114.2683 +Jerome,34.7466,-112.1072 +Cashion,33.4353,-112.2979 +Mesa del Caballo,34.286,-111.2952 +Winslow,35.0253,-110.7098 +Cordes Lakes,34.3103,-112.1073 +Snowflake,34.5223,-110.0913 +Linden,34.2625,-110.1424 +Casa Blanca,33.1154,-111.9081 +Hyder,33.0164,-113.3488 +Gadsden,32.5564,-114.781 +Tacna,32.7004,-113.9618 +Tanque Verde,32.2687,-110.7437 +Heber,34.4314,-110.594 +Meadview,35.9532,-114.0789 +Cornville,34.7389,-111.9086 +Nutrioso,33.9514,-109.2058 +Yuma,32.5991,-114.5488 +Mexican Water,36.9669,-109.6379 +Central,32.8681,-109.7914 +Drexel Heights,32.1457,-111.0479 +Corona de Tucson,31.9495,-110.7836 +Round Rock,36.5044,-109.4616 +Carrizo,33.9867,-110.3314 +Oxbow Estates,34.1824,-111.343 +Oak Springs,35.4761,-109.1317 +Central Heights,33.4126,-110.8148 +Toltec,32.7923,-111.6148 +Sahuarita,31.9328,-110.9654 +Hotevilla,35.9278,-110.6729 +Toyei,35.7044,-109.937 +Pimaco Two,31.9666,-110.4663 +Vicksburg,33.7293,-113.8254 +Somerton,32.6009,-114.699 +Clarkdale,34.7501,-112.0549 +Clay Springs,34.3592,-110.3043 +Bagdad,34.5771,-113.1771 +Camp Creek,33.9117,-111.8168 +Chino Valley,34.7593,-112.4107 +Campo Bonito,32.5629,-110.6983 +Winona,35.205,-111.4082 +Cochise,32.1137,-109.9217 +Glenbar,32.9167,-109.8581 +Rock Point,36.7173,-109.6287 +Benson,31.9157,-110.3257 +Mohawk,32.7267,-113.7552 +Willow Canyon,32.3882,-110.701 +Tumacacori,31.5687,-111.0523 +Chilchinbito,36.5027,-110.0512 +Beardsley,33.6614,-112.3791 +Pica,35.4572,-113.1371 +Elgin,31.668,-110.5346 +Miracle Valley,31.3829,-110.1485 +Quijotoa,32.1273,-112.1382 +Ganado,35.7016,-109.5504 +Naco,31.343,-109.9336 +Saint David,31.8992,-110.2251 +Citrus Park,33.5304,-112.444 +Chiawuli Tak,31.941,-111.7765 +Springerville,34.156,-109.2989 +Ak Chin,32.2873,-112.0091 +Sunizona,31.8841,-109.6328 +Ali Molina,31.9025,-111.7804 +Tusayan,35.955,-112.1202 +Oracle Junction,32.5551,-110.9334 +Piedra,32.9048,-112.9855 +Ko Vaya,32.0815,-111.8959 +Mesquite Creek,34.9606,-114.5714 +Chandler,33.2827,-111.8516 +South Komelik,31.7144,-111.7744 +Youngtown,33.5846,-112.3047 +Kaka,32.5114,-112.3169 +Nolic,32.0341,-111.955 +Willcox,32.2514,-109.8359 +Woodruff,34.7843,-110.0366 +Schuchk,32.1212,-111.6832 +Wide Ruins,35.4175,-109.4993 +Williams,35.2476,-112.1833 +Moenkopi,36.1124,-111.2212 +Paul Spur,31.3662,-109.7345 +Fountain Hills,33.6073,-111.7398 +Amado,31.6968,-111.0583 +Whispering Pines,34.3728,-111.2813 +Kayenta,36.7144,-110.2589 +Low Mountain,35.9481,-110.0981 +Mammoth,32.6852,-110.7293 +Quivero,35.5325,-112.1907 +Glendale,33.5796,-112.2258 +Willaha,35.7619,-112.2641 +Carmen,31.5873,-111.0529 +Sells,31.9202,-111.8775 +San Tan Valley,33.1879,-111.5473 +Bellemont,35.2381,-111.8335 +Tanque,32.609,-109.5381 +Chinle,36.1505,-109.5794 +Munds Park,34.9382,-111.6318 +Wellton,32.64,-114.214 +Randolph,32.917,-111.5148 +Sasabe,31.4887,-111.5421 +Red Lake,36.3225,-110.9493 +Klagetoh,35.501,-109.5283 +Eagar,34.1058,-109.2956 +Sheldon,32.8148,-109.1723 +Lewis Springs,31.5812,-110.142 +Pine,34.3788,-111.4574 +Kykotsmovi Village,35.8576,-110.6338 +Hayden,32.9995,-110.7814 +Lukeville,31.8826,-112.8157 +Santa Rosa,32.3326,-112.0464 +Surprise,33.6802,-112.4525 +Higley,33.3073,-111.721 +South Tucson,32.1955,-110.9692 +Dome,32.7553,-114.3622 +Dewey-Humboldt,34.5174,-112.2498 +Kofa,32.882,-113.6466 +Ali Chuk,31.8169,-112.5584 +Double Adobe,31.4668,-109.6901 +Elfrida,31.6858,-109.6896 +Casas Adobes,32.3423,-111.0114 +Solomon,32.8138,-109.6291 +Nelson,35.5142,-113.3202 +Dennehotso,36.8208,-109.8791 +Avra Valley,32.4195,-111.3393 +Childs,32.4528,-112.8435 +Brenda,33.6721,-113.9379 +Litchfield Park,33.5024,-112.3586 +Sentinel,32.8581,-113.2132 +Globe,33.3869,-110.7514 +Pinon,36.0992,-110.2209 +Mormon Lake,34.9084,-111.4632 +Lake Havasu City,34.5006,-114.3115 +Two Guns,35.1178,-111.0935 +Colorado City,36.9774,-112.983 +Bluewater,34.1681,-114.2667 +Charco,32.2474,-112.6001 +Goodyear,33.2614,-112.3622 +Cedar Creek,33.903,-110.1929 +Beyerville,31.3921,-110.8748 +Cleator,34.2786,-112.2329 +Peoria,33.7844,-112.2989 +Oraibi,35.8764,-110.6404 +Nazlini,35.9156,-109.4726 +Burnside,35.7534,-109.6248 +Sonora,33.1653,-110.9959 +Yampai,35.4894,-113.2005 +Washington Park,34.3978,-111.2731 +Moccasin,36.9099,-112.7546 +Freedom Acres,34.3199,-111.3051 +San Jose,32.8169,-109.5957 +Topock,34.7206,-114.478 +Mount Trumbull,36.4119,-113.3255 +Camp Verde,34.5699,-111.8573 +Bon,32.9714,-111.9085 +Taylor,34.4393,-110.1018 +Sun Valley,34.9835,-110.0375 +Valentine,35.3886,-113.6591 +New River,33.8835,-112.0858 +Del Muerto,36.187,-109.4348 +Cameron,35.8537,-111.4269 +Copper Hill,33.4379,-110.7516 +Kingman,35.217,-114.0105 +Salina,36.0222,-109.8673 +Topawa,31.8078,-111.8305 +North Rim,36.2105,-112.0613 +Young,34.1188,-110.9559 +Indian Wells,35.4089,-110.1061 +Flowing Wells,32.2937,-111.011 +Cibola,33.3733,-114.6792 +Pisinemo,32.035,-112.3193 +Winkelman,32.9853,-110.7651 +Kohatk,32.5782,-112.0032 +East Fork,33.8081,-109.9227 +Santa Cruz,33.2325,-112.1593 +Portal,31.9137,-109.1414 +Jeddito,35.7697,-110.1305 +McConnico,35.1636,-114.0898 +Steamboat,35.7535,-109.8504 +Artesia,32.6981,-109.7076 +White Cone,35.6037,-110.0791 +Anegam,32.3742,-112.035 +Wagoner,34.2136,-112.5357 +Franklin,32.6771,-109.0721 +Poston,33.9921,-114.4046 +Seba Dalkai,35.4816,-110.4562 +Theba,32.9182,-112.8898 +Davis Dam,35.18,-114.5664 +Cowlic,31.8048,-111.9876 +Arivaca,31.575,-111.2926 +Thatcher,32.832,-109.7595 +Pinta,35.0822,-109.6307 +Hackberry,35.3401,-113.7256 +Wahak Hotrontk,32.1748,-112.3664 +Florence,33.059,-111.4209 +Maish Vaya,32.1703,-112.1342 +Phoenix,33.5722,-112.0891 +Forest Lakes Estates,34.3389,-110.7998 +Rye,34.0979,-111.3542 +Parks,35.2939,-111.9771 +San Luis,32.4911,-114.7089 +Mayer,34.4233,-112.2408 +Cutter,33.3584,-110.6593 +Skull Valley,34.5053,-112.6855 +Tempe,33.3881,-111.9318 +La Paz Valley,33.5578,-114.2434 +Carefree,33.8234,-111.9162 +Patagonia,31.5436,-110.7477 +Kohls Ranch,34.321,-111.0838 +Dolan Springs,35.5905,-114.2852 +Red Mesa,36.9664,-109.3828 +Winslow West,34.9923,-110.7069 +Paradise Valley,33.5435,-111.9595 +Payson,34.2434,-111.3195 +Mojave Ranch Estates,34.9449,-114.5907 +Nicksville,31.4384,-110.249 +Page,36.9425,-111.5071 +Christopher Creek,34.3206,-111.0071 +Ash Fork,35.2172,-112.4914 +Midland City,33.412,-110.8243 +Clifton,33.0249,-109.2883 +Cactus Flat,32.7642,-109.7205 +Chambers,35.1886,-109.4332 +Porthill,48.9983,-116.498 +Strevell,42.006,-113.2036 +Nampa,43.5843,-116.5626 +Clover,42.5141,-114.6875 +Saint Maries,47.3146,-116.5722 +Kellogg,47.5371,-116.142 +Berenice,43.8277,-112.9742 +Atlanta,43.8016,-115.1267 +Nordman,48.6338,-116.9458 +Pocatello,42.8716,-112.4656 +Lemhi,44.8516,-113.6198 +Chilly,44.0777,-113.8789 +Post Falls,47.7202,-116.9397 +Henry,42.9069,-111.5308 +Chesterfield,42.8669,-111.9019 +Parker,43.9585,-111.7582 +Sugar City,43.8756,-111.7518 +Murtaugh,42.4919,-114.1617 +Challis,44.5051,-114.2283 +Lakeview,47.9702,-116.4466 +Notus,43.7266,-116.7998 +Winchester,46.2409,-116.624 +Malad City,42.1903,-112.25 +Riggins,45.4203,-116.3179 +Eden,42.6051,-114.2089 +Avery,47.2505,-115.8052 +Hailey,43.5133,-114.301 +Boise,43.6006,-116.2316 +Rockland,42.573,-112.8743 +Greer,46.3899,-116.1751 +Freedom,42.9854,-111.0296 +Thama,48.1532,-116.8477 +Craigmont,46.2422,-116.4728 +Irwin,43.3965,-111.2721 +Ucon,43.5935,-111.9595 +Sunbeam,44.271,-114.7342 +Spencer,44.3769,-112.1897 +Rockford Bay,47.5087,-116.8866 +Blanchard,48.0152,-116.9928 +Greenleaf,43.6753,-116.8211 +Border,42.183,-111.0474 +Wardner,47.5189,-116.1357 +Victor,43.6013,-111.1108 +Copeland,48.9022,-116.3888 +Thornton,43.7582,-111.8452 +Daniels,42.373,-112.413 +Ellis,44.6919,-114.0484 +Basin,42.2455,-113.7845 +Crouch,44.116,-115.9728 +Felt,43.873,-111.1847 +Deary,46.8003,-116.5572 +State Line Village,47.7043,-117.0374 +Gannett,43.3599,-114.1759 +Edmonds,43.913,-111.8808 +Hill City,43.3005,-115.0512 +Swan Valley,43.4445,-111.3287 +Priest River,48.1782,-116.8841 +Menan,43.7218,-111.9926 +Albion,42.4098,-113.5805 +Kootenai,48.3118,-116.5173 +Clark Fork,48.1472,-116.1768 +Three Creek,42.0713,-115.1595 +Lund,42.6427,-111.8886 +Sharon,42.3505,-111.4791 +Samaria,42.1177,-112.3369 +Smelterville,47.5426,-116.1774 +Roseworth,42.3669,-114.9223 +Eagle,43.7228,-116.3857 +Raymond,42.2747,-111.0588 +Rexburg,43.822,-111.7926 +Clayton,44.2592,-114.3997 +Almo,42.1002,-113.6336 +Tetonia,43.8147,-111.1587 +Hamer,43.9222,-112.2028 +Kendrick,46.6139,-116.6543 +Rigby,43.6735,-111.9126 +Kooskia,46.1413,-115.9766 +Sweet,43.9729,-116.3246 +Acequia,42.6688,-113.5968 +Butte City,43.607,-113.2408 +Grangeville,45.926,-116.1225 +Leslie,43.8657,-113.4675 +Smiths Ferry,44.2989,-116.0782 +Myrtle,46.4968,-116.726 +Pinehurst,47.5364,-116.2327 +Helmer,46.8007,-116.4702 +Chatcolet,47.3721,-116.7635 +Tyhee,42.9551,-112.4562 +Buist,42.3271,-112.6055 +Weippe,46.3787,-115.9396 +Lewiston Orchards,46.3804,-116.9754 +Huston,43.6102,-116.7832 +Burgdorf,45.2771,-115.9129 +McCall,44.9077,-116.1124 +Barber,43.5652,-116.1132 +Whitney,42.0658,-111.8377 +Grace,42.5756,-111.7306 +Horseshoe Bend,43.9165,-116.1997 +Robin,42.5771,-112.2466 +Lost River,43.7326,-113.5577 +Lake Fork,44.8327,-116.0848 +Holbrook,42.1619,-112.6539 +Montpelier,42.326,-111.2988 +Bancroft,42.7202,-111.883 +Council,44.7327,-116.4375 +Hayden Lake,47.7638,-116.7558 +Stanley,44.2151,-114.9364 +Fruitland,44.0196,-116.9222 +Sublett,42.3121,-113.1369 +Rathdrum,47.7995,-116.8908 +Hatch,42.8194,-111.8522 +Juliaetta,46.574,-116.7096 +White Bird,45.7622,-116.3008 +Hot Springs,42.7918,-115.7179 +Gilmore,44.4588,-113.2697 +De Smet,47.141,-116.9113 +Homedale,43.6154,-116.9379 +Stone,42.0163,-112.6953 +New Meadows,44.9712,-116.2858 +Spirit Lake,47.966,-116.8701 +Moyie Springs,48.7247,-116.1954 +Lucile,45.5352,-116.3104 +Hollister,42.3529,-114.5839 +Paul,42.6054,-113.7847 +Harpster,45.9866,-115.9635 +Ammon,43.4747,-111.9568 +Middleton,43.7116,-116.6152 +Careywood,48.0346,-116.6433 +Fernan Lake Village,47.6726,-116.7473 +Bliss,42.9243,-114.9479 +Elk River,46.7829,-116.1811 +Bowmont,43.456,-116.541 +Byrne,43.6919,-111.7466 +Hammett,42.9457,-115.4662 +Mesa,44.6288,-116.4507 +Placerville,43.9427,-115.946 +Lincoln,43.5178,-111.9685 +Pegram,42.1427,-111.1288 +Lapwai,46.4033,-116.8041 +Payette,44.0789,-116.9256 +Humphrey,44.4882,-112.2336 +Grasmere,42.3766,-115.8826 +Plummer,47.3301,-116.8849 +Lava Hot Springs,42.6198,-112.0097 +Gifford,46.4432,-116.5565 +Red River Hot Springs,45.7877,-115.2001 +Oldtown,48.1839,-117.0207 +Fort Hall,43.0145,-112.4573 +Bovill,46.8585,-116.3934 +Letha,43.8943,-116.6476 +Stites,46.0923,-115.9763 +Kimberly,42.5332,-114.37 +Downey,42.4288,-112.1233 +Parma,43.7863,-116.9428 +Osgood,43.5702,-112.103 +Naples,48.571,-116.3924 +Coolin,48.4796,-116.8494 +Patterson,44.5235,-113.7123 +Moreland,43.2195,-112.4378 +Murphy,43.2121,-116.5485 +Virginia,42.4941,-112.1655 +Santa,47.1502,-116.4491 +Cambridge,44.5719,-116.6778 +Leadore,44.6802,-113.3592 +Pierce,46.4931,-115.7995 +Featherville,43.6099,-115.2581 +Fruitvale,44.8152,-116.4401 +Bone,43.3124,-111.7952 +Owyhee,43.4182,-116.2007 +Bridge,42.1294,-113.3425 +Midvale,44.4617,-116.7436 +Groveland,43.2235,-112.3755 +Sweetwater,46.3676,-116.7975 +Algoma,48.1969,-116.5721 +Weston,42.0369,-111.9784 +Glenwood,46.2441,-115.8329 +Cottonwood,46.051,-116.3497 +Rupert,42.6189,-113.674 +Emida,47.1157,-116.5979 +Shoshone,42.9369,-114.4055 +Paris,42.2273,-111.4032 +Carey,43.3105,-113.9448 +Idaho City,43.8282,-115.8306 +Reubens,46.3229,-116.5429 +Mink Creek,42.2283,-111.7158 +Gibbonsville,45.5555,-113.9231 +Big Springs,44.4983,-111.2558 +Athol,47.9446,-116.7079 +Lewisville,43.6952,-112.0132 +North Fork,45.406,-113.994 +Crystal,42.6538,-112.4964 +Kuna,43.4853,-116.3977 +Soda Springs,42.659,-111.5878 +Riddle,42.1868,-116.1104 +Conkling Park,47.3998,-116.7704 +Moore,43.7344,-113.3675 +Kamiah,46.2269,-116.0283 +Prairie,43.5049,-115.574 +Marion,42.2866,-113.9111 +Palisades,43.3519,-111.2177 +Darlington,43.8135,-113.4147 +Jerome,42.7184,-114.5159 +Grant,43.6407,-112.0133 +Bennington,42.3823,-111.322 +Terreton,43.8416,-112.4364 +Thatcher,42.4088,-111.7269 +Arbon,42.4557,-112.5683 +New Plymouth,43.9705,-116.8187 +Basalt,43.3143,-112.165 +Drummond,43.9995,-111.3432 +Tensed,47.1596,-116.9238 +Peck,46.4747,-116.4262 +Rockford,43.1892,-112.5306 +Niter,42.5035,-111.7308 +Big Creek,45.1271,-115.3243 +Picabo,43.3057,-114.0678 +Hansen,42.5313,-114.3012 +Potlatch,46.9235,-116.8976 +Donnelly,44.7354,-116.0789 +Iona,43.5258,-111.9308 +Ponderay,48.3095,-116.5389 +Aberdeen,42.9441,-112.8384 +McCammon,42.6503,-112.1901 +Clementsville,43.8766,-111.37 +Gooding,42.9372,-114.7132 +Pearl,43.8557,-116.3173 +Shoup,45.3769,-114.277 +Burley,42.5379,-113.7929 +Firth,43.3057,-112.1834 +Meadows,44.961,-116.2437 +Eastport,48.9994,-116.1813 +Orofino,46.4866,-116.2585 +Wendell,42.7745,-114.7025 +Salmon,45.1743,-113.8948 +Melba,43.3726,-116.5322 +Twin Falls,42.5645,-114.4611 +Warm River,44.1189,-111.3202 +Gem,47.5083,-115.8679 +Princeton,46.9153,-116.8311 +Ovid,42.2888,-111.3983 +Mayfield,43.4179,-115.9015 +Huetter,47.7037,-116.8508 +Glenns Ferry,42.9505,-115.3066 +Ola,44.1782,-116.2926 +Wilder,43.6781,-116.907 +Cobalt,45.093,-114.2317 +Harrison,47.4676,-116.8037 +Cleveland,42.3399,-111.7133 +Gwenford,42.1363,-112.33 +Elk City,45.8266,-115.4378 +Elba,42.2482,-113.5614 +Nezperce,46.2339,-116.2406 +Fenn,45.9632,-116.2563 +Oakley,42.2416,-113.8824 +Rose Lake,47.5388,-116.4718 +Hope,48.2493,-116.3041 +Georgetown,42.479,-111.3637 +Montour,43.9249,-116.3287 +Rogerson,42.218,-114.5942 +Woodruff,42.036,-112.2147 +Wayan,42.9783,-111.3769 +Fairview,42.0133,-111.8766 +Garden City,43.6526,-116.2743 +Oxford,42.2598,-112.0178 +Buhl,42.5985,-114.7596 +East Hope,48.2414,-116.2913 +Sandpoint,48.2832,-116.5613 +Mountain Home,43.1324,-115.697 +Banks,44.0778,-116.1278 +Carmen,45.2424,-113.8934 +Mackay,43.912,-113.6127 +Geneva,42.3585,-111.0652 +Spalding,46.4468,-116.8174 +Hauser,47.7668,-117.0133 +Lenore,46.5085,-116.551 +Pine,43.4841,-115.312 +Hayden,47.768,-116.804 +Lorenzo,43.7282,-111.8714 +Bloomington,42.1908,-111.4042 +Sterling,43.038,-112.7317 +Filer,42.5679,-114.6115 +Bellevue,43.4685,-114.2551 +Cuprum,45.0865,-116.6893 +Atomic City,43.4431,-112.8124 +Inkom,42.7973,-112.246 +Cocolalla,48.108,-116.6174 +Heyburn,42.5599,-113.7623 +Garden Valley,44.083,-115.9612 +Declo,42.5196,-113.6287 +Headquarters,46.6299,-115.8093 +Roberts,43.7208,-112.1285 +Saint Joe,47.311,-116.3529 +Dubois,44.1727,-112.2293 +Lowman,44.0786,-115.6205 +Dalton Gardens,47.7328,-116.7696 +Newdale,43.8864,-111.604 +American Falls,42.7828,-112.8542 +Hagerman,42.8163,-114.8974 +Warren,45.2641,-115.6765 +Banida,42.231,-111.9425 +Enaville,47.5624,-116.2502 +Caldwell,43.6458,-116.6591 +Swanlake,42.313,-112.0038 +Onaway,46.9282,-116.8896 +Riverside,43.1965,-112.4356 +Burke,47.5202,-115.8202 +Blackfoot,43.194,-112.3455 +Moscow,46.7307,-116.9986 +Lamont,43.9696,-111.2161 +Teton,43.8872,-111.6723 +Conda,42.7283,-111.5324 +Tuttle,42.8582,-114.8401 +King Hill,43.0041,-115.204 +Gray,43.0499,-111.3791 +Orchard,43.3146,-116.0262 +Yellow Pine,44.9623,-115.488 +Baker,45.0946,-113.7345 +Cascade,44.5086,-116.0425 +Chester,43.9994,-111.57 +Star,43.702,-116.4938 +Kilgore,44.4021,-111.8939 +Parkline,47.3383,-116.6937 +Castleford,42.5206,-114.8717 +Camas,44.0074,-112.2211 +Sun Valley,43.6836,-114.3338 +Genesee,46.5516,-116.9284 +Roy,42.3638,-112.8311 +Fernwood,47.1121,-116.3927 +Marsing,43.5466,-116.8095 +Shelley,43.3794,-112.1261 +Wallace,47.4736,-115.9227 +Osburn,47.5055,-116.0008 +Fairfield,43.3489,-114.8006 +Pollock,45.3124,-116.359 +Hazelton,42.5952,-114.1366 +Island Park,44.5288,-111.3586 +Richfield,43.0521,-114.1556 +Ketchum,43.6867,-114.373 +Saint Anthony,43.9647,-111.684 +Arimo,42.56,-112.1726 +Colburn,48.3971,-116.5352 +Dayton,42.1119,-111.9783 +Dietrich,42.9127,-114.2663 +Arco,43.6316,-113.3017 +Mullan,47.469,-115.7966 +Bruneau,42.8805,-115.7973 +Driggs,43.7294,-111.1031 +Coeur d'Alene,47.7039,-116.7933 +Nounan,42.4777,-111.451 +Ririe,43.6326,-111.7716 +Weiser,44.2547,-116.9689 +Franklin,42.0125,-111.8036 +Bayview,47.9802,-116.5602 +Ashton,44.0734,-111.4482 +Lewiston,46.3935,-116.9934 +Dixie,45.5541,-115.4612 +Preston,42.0989,-111.88 +Murray,47.6271,-115.8585 +Silver City,43.0168,-116.7332 +Grand View,42.984,-116.0918 +Idmon,44.3607,-111.9116 +Heglar,42.4735,-113.1472 +Worley,47.4005,-116.9193 +Springdale,42.5155,-113.6908 +Chubbuck,42.9226,-112.4702 +Malta,42.3075,-113.3694 +Idaho Falls,43.4868,-112.0363 +Ferdinand,46.1516,-116.3903 +Springfield,43.0816,-112.6819 +Elmira,48.4797,-116.4624 +Saint Charles,42.1123,-111.3904 +May,44.6044,-113.912 +Fish Haven,42.0369,-111.3963 +Bonners Ferry,48.6927,-116.3184 +Meridian,43.6113,-116.3972 +Monteview,43.9719,-112.5364 +Mud Lake,43.8429,-112.4796 +Gardena,43.9757,-116.191 +Troy,46.738,-116.7732 +Culdesac,46.3749,-116.6703 +Emmett,43.8685,-116.489 +Dover,48.2606,-116.6098 +Indian Valley,44.5571,-116.434 +Grouse,43.6882,-113.6125 +Minidoka,42.7538,-113.4899 +Clifton,42.1872,-112.0046 +Oreana,43.0535,-116.3951 +Turner,42.5766,-111.8188 +Bantam,41.7247,-73.2422 +South Windham,41.6849,-72.1845 +South Woodstock,41.9275,-71.9627 +Torrington,41.8349,-73.1282 +Kensington,41.6298,-72.7714 +New London,41.3502,-72.1023 +Thompsonville,41.9916,-72.5965 +Greens Farms,41.124,-73.3193 +Milford,41.2223,-73.0565 +Coventry Lake,41.7736,-72.3287 +Waterbury,41.5583,-73.0361 +Newtown,41.4119,-73.312 +Noank,41.334,-71.9978 +Greenfield Hill,41.1765,-73.2918 +Norfolk,41.9929,-73.1955 +Cannondale,41.2161,-73.4248 +Oakville,41.5923,-73.0858 +Titicus,41.2923,-73.5035 +Shelton,41.306,-73.1383 +Moodus,41.5043,-72.4491 +New Britain,41.6758,-72.7862 +Baltic,41.614,-72.0866 +Groton,41.339,-72.0727 +Broad Brook,41.9097,-72.5426 +Durham,41.4741,-72.6814 +Manchester,41.7801,-72.5192 +Darien,41.0786,-73.4819 +Poquonock Bridge,41.3379,-72.0175 +Old Greenwich,41.0253,-73.5691 +Heritage Village,41.4845,-73.2351 +Wauregan,41.75,-71.9091 +West Mystic,41.3507,-71.982 +City of Milford (balance),41.2253,-73.0624 +Moosup,41.717,-71.875 +Orange,41.2827,-73.0272 +Naugatuck,41.489,-73.0518 +Windsor Locks,41.9267,-72.6544 +Pemberwick,41.0224,-73.6564 +Blue Hills,41.8134,-72.6954 +Putnam,41.9198,-71.9088 +Gales Ferry,41.4212,-72.0859 +Suffield Depot,41.983,-72.6463 +Canton Valley,41.8316,-72.8978 +Higganum,41.49,-72.5562 +Ridgefield,41.2712,-73.4952 +Quinebaug,42.0107,-71.937 +New Milford,41.5844,-73.4064 +Colchester,41.5779,-72.3329 +Jewett City,41.607,-71.9807 +Southport,41.1349,-73.2874 +Niantic,41.3265,-72.1948 +Storrs,41.8045,-72.2552 +Bridgeport,41.1909,-73.1958 +Willimantic,41.7153,-72.2173 +Watertown,41.6018,-73.1195 +Lake Pocotopaug,41.5961,-72.5125 +Newington,41.687,-72.7308 +Plantsville,41.5832,-72.8915 +Clinton,41.2763,-72.5305 +Groton Long Point,41.3145,-72.0087 +Mystic,41.3573,-71.9548 +Trumbull,41.2602,-73.2083 +Collinsville,41.819,-72.922 +Wethersfield,41.7013,-72.6703 +Stratford,41.207,-73.1305 +North Grosvenor Dale,41.9862,-71.9034 +Falls Village,41.9576,-73.3562 +Norwalk,41.1144,-73.4215 +Greenwich,41.0252,-73.6298 +Crystal Lake,41.9343,-72.3756 +Middletown,41.5476,-72.6549 +Tariffville,41.9076,-72.7681 +Meriden,41.5367,-72.7943 +Stonington,41.3344,-71.9033 +Riverside,41.0319,-73.5827 +Terramuggus,41.6342,-72.4692 +Southwood Acres,41.961,-72.5719 +Bethel,41.3727,-73.4116 +Stafford Springs,41.9595,-72.3105 +Danbury,41.4016,-73.471 +East Hartford,41.7634,-72.6152 +East Haven,41.2984,-72.8577 +Brooklyn,41.7899,-71.9542 +Terryville,41.6784,-73.0064 +Woodmont,41.2282,-72.993 +Topstone,41.2959,-73.449 +Ansonia,41.3443,-73.0689 +Pawcatuck,41.3774,-71.8492 +Rockville,41.8667,-72.4528 +Cos Cob,41.0513,-73.5931 +South Coventry,41.7695,-72.3064 +North Granby,42.0152,-72.844 +Salmon Brook,41.9567,-72.7931 +West Hartford,41.7669,-72.7536 +West Haven,41.2739,-72.9671 +Canaan,42.0347,-73.3323 +Waterford,41.3452,-72.1288 +Lakeville,41.9594,-73.4467 +Sharon,41.8785,-73.472 +East Brooklyn,41.7948,-71.8992 +Fenwick,41.2711,-72.3546 +Uncasville,41.4345,-72.1098 +Thomaston,41.6733,-73.0798 +Aspetuck,41.2182,-73.321 +Long Hill,41.3536,-72.0517 +Westport,41.1428,-73.3475 +Lyons Plain,41.2251,-73.3462 +Old Mystic,41.3854,-71.985 +Georgetown,41.2494,-73.4343 +Hazardville,41.9899,-72.5256 +Somers,41.9911,-72.443 +Litchfield,41.7457,-73.1893 +Hartford,41.7661,-72.6834 +Sherwood Manor,42.0125,-72.566 +Glenville,41.0349,-73.6656 +Glastonbury Center,41.7018,-72.6001 +Danielson,41.8086,-71.8854 +Winsted,41.9267,-73.0675 +Byram,41.0011,-73.6528 +West Simsbury,41.8748,-72.8448 +Bristol,41.6812,-72.9407 +Derby,41.3265,-73.0833 +North Haven,41.3818,-72.8573 +Branchville,41.2676,-73.4418 +East Hampton,41.5735,-72.4918 +New Haven,41.3112,-72.9245 +Saybrook Manor,41.2825,-72.4063 +Norwich,41.5495,-72.0882 +Mansfield Center,41.7618,-72.1944 +Stamford,41.1036,-73.5583 +Weatogue,41.8459,-72.8294 +Portland,41.5813,-72.6214 +New Preston,41.6813,-73.3523 +Bridgton,44.0735,-70.71 +South Windham,43.738,-70.4236 +Clayton Lake,46.6109,-69.5223 +Lille,47.28,-68.1098 +Van Buren,47.1667,-67.9526 +Rockwood,45.6778,-69.7409 +Olamon,45.1209,-68.6106 +South Eliot,43.1287,-70.7952 +Presque Isle,46.6868,-67.9874 +Lisbon Falls,44.0086,-70.057 +Stratton,45.1412,-70.4406 +Biddeford,43.4674,-70.4512 +Brunswick,43.9077,-69.9456 +Port Clyde,43.9273,-69.2528 +South Paris,44.219,-70.5113 +Washburn,46.786,-68.1447 +Addison,44.6184,-67.7442 +Milford,44.9518,-68.6334 +Lubec,44.855,-66.9898 +South Lagrange,45.1162,-68.815 +Castine,44.3923,-68.8067 +Falmouth,43.7121,-70.2344 +Hampden Highlands,44.7323,-68.8411 +Bar Harbor,44.3816,-68.2114 +West Forks,45.397,-70.0362 +Anson,44.7983,-69.8961 +Mechanic Falls,44.1122,-70.3941 +Fort Fairfield,46.7659,-67.8332 +Winterville,46.9703,-68.5712 +Hampden,44.7478,-68.836 +Marion,44.8784,-67.3169 +Woodland,45.1597,-67.4124 +Millinocket,45.6596,-68.6996 +North East Carry,45.8664,-69.6264 +Madawaska,47.3432,-68.3308 +Skowhegan,44.7735,-69.7124 +Farmingdale,44.2506,-69.7827 +Gorham,43.6822,-70.4413 +Topsham,43.941,-69.9352 +Kennebunkport,43.3598,-70.4632 +Richmond,44.1056,-69.8117 +Dover-Foxcroft,45.1936,-69.221 +Dixfield,44.5369,-70.4502 +Littlejohn Island,43.7599,-70.1284 +Saco,43.539,-70.4624 +Dickey,47.1095,-69.0864 +Macwahoc,45.6284,-68.2628 +Camden,44.2132,-69.0675 +Milo,45.2461,-68.9751 +Norridgewock,44.712,-69.7838 +Falmouth Foreside,43.7348,-70.2152 +Brookton,45.5298,-67.7656 +Orono,44.8811,-68.6792 +Blue Hill,44.4093,-68.5881 +Bar Mills,43.6131,-70.5498 +Standish,43.7353,-70.5525 +Wilton,44.5961,-70.2372 +Wilsons Mills,44.9381,-71.0354 +Calais,45.134,-67.224 +Old Town,44.9491,-68.7249 +Unity,44.6154,-69.3342 +Alfred,43.4767,-70.72 +Sanford,43.4244,-70.7573 +Auburn,44.085,-70.2492 +Norway,44.2168,-70.5511 +South Portland,43.631,-70.2895 +Cape Neddick,43.1706,-70.622 +Waterville,44.544,-69.6626 +Livermore Falls,44.4723,-70.1808 +Mexico,44.555,-70.5364 +Rockland,44.1274,-69.1369 +Guilford,45.1734,-69.3928 +Saint David,47.3395,-68.2314 +Pittsfield,44.7717,-69.38 +North Amity,45.9417,-67.8303 +Kezar Falls,43.8079,-70.889 +Ashville,44.4879,-68.1211 +Long Pond,45.6214,-70.0865 +Chisholm,44.4917,-70.1918 +Winter Harbor,44.3926,-68.0918 +Gray,43.8864,-70.3241 +Smyrna Mills,46.1295,-68.1642 +Old Orchard Beach,43.5239,-70.3904 +South Sanford,43.4112,-70.7426 +Oquossoc,44.9664,-70.7737 +South China,44.3956,-69.5712 +Eagle Lake,47.0347,-68.5888 +Damariscotta,44.0232,-69.5216 +Hallowell,44.2905,-69.814 +York Harbor,43.1435,-70.649 +Seboeis,45.3631,-68.7111 +Carrabassett,45.0778,-70.212 +Oxbow,46.4187,-68.49 +Machias,44.7075,-67.4772 +Green Lake,44.6712,-68.5547 +Madison,44.8003,-69.8655 +Clinton,44.6501,-69.4859 +Winthrop,44.3129,-69.9649 +Bass Harbor,44.2401,-68.3439 +Bucksport,44.6006,-68.7944 +Sweden,46.9417,-68.1395 +Brownville Junction,45.3501,-69.0523 +North Waterford,44.2317,-70.7687 +Lake Arrowhead,43.6634,-70.7382 +Soldier Pond,47.1562,-68.5759 +Blaine,46.499,-67.8688 +Rumford,44.5502,-70.568 +Dexter,45.0164,-69.2946 +Belfast,44.428,-69.0325 +East Millinocket,45.6261,-68.5741 +Howland,45.2543,-68.6647 +Steep Falls,43.7905,-70.6275 +Greenville,45.4663,-69.5881 +Bryant Pond,44.3784,-70.6459 +Fairfield,44.5892,-69.6067 +Fryeburg,44.0201,-70.9733 +Scarborough,43.5983,-70.3351 +Wiscasset,44.0116,-69.6735 +Kittery Point,43.0883,-70.6988 +Bingham,45.0582,-69.873 +Eastport,44.9137,-67.0183 +Caribou,46.8662,-67.9919 +Gardiner,44.191,-69.7921 +Cousins Island,43.7631,-70.1409 +Kokadjo,45.6712,-69.447 +East Holden,44.7376,-68.6331 +Portage,46.7631,-68.4759 +Southwest Harbor,44.2784,-68.3282 +Kittery,43.0918,-70.7374 +Springvale,43.4667,-70.7937 +West Kennebunk,43.4142,-70.581 +Lincoln,45.3627,-68.4997 +Houlton,46.1215,-67.8322 +Little Falls,43.7312,-70.4301 +Newcastle,44.0426,-69.5361 +Yarmouth,43.8017,-70.1875 +Norcross,45.6295,-68.8025 +Isle Au Haut,44.0754,-68.6334 +Westbrook,43.6955,-70.3539 +Searsport,44.4675,-68.9192 +Mars Hill,46.5211,-67.8717 +Lewiston,44.0915,-70.1681 +Bowdoinham,44.0212,-69.9012 +Shirley Mills,45.3656,-69.6181 +Hinckley,44.6856,-69.6325 +Bath,43.9346,-69.8346 +Kennebunk,43.3841,-70.5442 +Salem,44.9006,-70.2781 +Winslow,44.5277,-69.5768 +Wytopitlock,45.6406,-68.0756 +North Windham,43.8238,-70.4288 +Winterport,44.6453,-68.8561 +Farmington,44.6681,-70.1459 +Chesuncook,46.0603,-69.4095 +Thomaston,44.0803,-69.1807 +Somesville,44.3623,-68.3342 +Naples,43.9623,-70.6025 +Hartland,44.8815,-69.4586 +Fort Kent,47.2535,-68.5893 +Exeter Corners,44.9848,-69.1453 +Casco,43.9966,-70.5293 +Atlantic,44.1717,-68.4242 +Oxford,44.1384,-70.5092 +Berwick,43.2686,-70.8623 +Lowelltown,45.5139,-70.6448 +Mapleton,46.6807,-68.1513 +Freeport,43.857,-70.1026 +Waldoboro,44.0909,-69.3753 +Cumberland Center,43.7982,-70.2541 +Bangor,44.8322,-68.7906 +Ashland,46.6241,-68.3964 +Augusta,44.3341,-69.7319 +Sherman Station,45.8992,-68.4295 +Limestone,46.9112,-67.8308 +Boothbay Harbor,43.8556,-69.6233 +Brewer,44.7835,-68.7352 +West Seboeis,45.5292,-68.8787 +North Berwick,43.302,-70.7324 +Newport,44.8378,-69.2616 +Portland,43.6773,-70.2715 +Oakland,44.55,-69.7078 +Randolph,44.2347,-69.7506 +Ellsworth,44.5847,-68.4875 +Savage,39.1485,-76.8228 +Lochearn,39.346,-76.7307 +Kensington,39.0265,-77.0737 +Peppermill Village,38.894,-76.8878 +Brock Hall,38.8617,-76.7549 +Willards,38.3922,-75.3494 +Snow Hill,38.1655,-75.3968 +Pomona,39.1623,-76.1094 +Indian Head,38.5987,-77.1555 +Columbia,39.2004,-76.859 +Parkville,39.3832,-76.5519 +Horsehead,38.6498,-76.7714 +Jennings,39.6488,-79.1835 +Langford,39.1884,-76.1408 +Keedysville,39.4867,-77.698 +Arundel Village,39.2223,-76.6041 +Redland,39.1335,-77.1466 +Charlestown,39.579,-75.9812 +Easton,38.776,-76.0702 +Dickerson,39.2201,-77.4242 +Beltsville,39.0394,-76.9211 +Waterloo,39.1721,-76.785 +Dundalk,39.2703,-76.4942 +Hancock,39.7054,-78.1749 +Fairmount Heights,38.9016,-76.9153 +Frostburg,39.6506,-78.9269 +Marydel,39.113,-75.7497 +Leitch,38.7651,-76.5627 +Woodsboro,39.5329,-77.3097 +Bay Ridge,38.9379,-76.46 +Crellin,39.3887,-79.4685 +Goshen,39.2034,-77.1875 +Seat Pleasant,38.8952,-76.9016 +Mount Savage,39.6971,-78.8763 +Choptank,38.6822,-75.9492 +Brandywine,38.6963,-76.8846 +Cape Saint Claire,39.0433,-76.4471 +Lutherville,39.424,-76.6177 +Fallston,39.5332,-76.4452 +Potomac Heights,38.5987,-77.1373 +Hereford,39.589,-76.6633 +Hess,39.5559,-76.5255 +Still Pond,39.3293,-76.0455 +Chase,39.3634,-76.3711 +Bowleys Quarters,39.3198,-76.3858 +Lanham,38.9621,-76.8421 +Antietam,39.4151,-77.7364 +Hutton,39.4146,-79.4801 +Eckhart Mines,39.6553,-78.8941 +Forest Glen,39.0191,-77.0445 +Saint George Island,38.1155,-76.4771 +Midlothian,39.6316,-78.9523 +Somerset,38.9666,-77.0963 +Calverton,39.0578,-76.9488 +Mount Rainier,38.9423,-76.9645 +Fork,39.4682,-76.4419 +Zion,39.6757,-75.9649 +Ocean City,38.3989,-75.0715 +Burkittsville,39.3923,-77.6275 +Adamstown,39.3065,-77.4668 +Belcamp,39.469,-76.2333 +Pecktonville,39.666,-78.0481 +Mays Chapel,39.4343,-76.6516 +Mercersville,39.4968,-77.7672 +Federalsburg,38.6929,-75.7727 +Breathedsville,39.546,-77.7246 +Skidmore,39.0212,-76.4152 +Millersville,39.0596,-76.648 +Algonquin,38.5839,-76.0977 +Adelphi,39.0018,-76.965 +Berwyn Heights,38.9929,-76.9131 +Glen Burnie,39.1559,-76.6072 +Stevensville,38.9745,-76.3184 +White Marsh,39.3819,-76.4574 +Pylesville,39.688,-76.3876 +Cedarville,38.6623,-76.819 +Pleasant Hills,39.4861,-76.3908 +Baldwin,39.4948,-76.4702 +Bowmans Addition,39.6876,-78.7541 +Mountain,39.4654,-76.3688 +Bishopville,38.4413,-75.2092 +Magnolia,39.4048,-76.3247 +Pomfret,38.5699,-77.0304 +Saint Michaels,38.7882,-76.2243 +Providence,39.6904,-75.8761 +Pasadena,39.1552,-76.5537 +Gambrills,39.0929,-76.6512 +Tilghman,38.7171,-76.3344 +Romancoke,38.8812,-76.3363 +Prince Frederick,38.544,-76.5879 +Middleburg,39.7177,-77.7239 +Centreville,39.042,-76.0631 +Hyattsville,38.9612,-76.9548 +Benedict,38.5116,-76.6797 +Maugansville,39.6936,-77.7472 +Linganore,39.4111,-77.3026 +Cloverly,39.1065,-76.9993 +Coral Hills,38.8709,-76.9234 +Capitol Heights,38.8766,-76.9074 +Beaver Creek,39.5786,-77.6476 +Bryantown,38.5498,-76.8429 +Thurmont,39.621,-77.4076 +Funkstown,39.6088,-77.7082 +Upper Marlboro,38.8172,-76.7546 +Cambridge,38.5515,-76.0786 +Powellville,38.3296,-75.3753 +West Denton,38.8896,-75.8389 +Willows,38.6276,-76.5377 +Cheltenham,38.7357,-76.8264 +Mount Zion,38.8323,-76.6114 +Bowling Green,39.6272,-78.805 +Westphalia,38.8385,-76.8231 +Burtonsville,39.1166,-76.9356 +Kettering,38.8888,-76.789 +Zihlman,39.6741,-78.9131 +Church Hill,39.1451,-75.9808 +Denton,38.877,-75.8264 +Kentland,38.9237,-76.88 +Annapolis,38.9706,-76.5047 +Wheaton,39.0492,-77.0572 +Shawan,39.4957,-76.7083 +Tilghman Island,38.7027,-76.3354 +Coleman,39.3415,-76.078 +Federal Hill,39.6409,-76.4714 +Chewsville,39.6484,-77.6311 +Lower Marlboro,38.656,-76.6819 +Woodfield,39.2468,-77.1905 +Palmer Park,38.9209,-76.8716 +Chesapeake City,39.528,-75.8095 +Sharpsburg,39.4576,-77.7496 +Severna Park,39.087,-76.5687 +West Laurel,39.1134,-76.8923 +Cedar Grove,39.2468,-77.2339 +Lexington Park,38.2543,-76.4415 +Carmichael,38.9423,-76.1336 +Swanton,39.4599,-79.2327 +Halethorpe,39.2398,-76.6802 +Barnesville,39.2212,-77.3798 +Ocean,39.6016,-78.945 +Mountain Lake Park,39.4004,-79.3812 +Deal Island,38.1444,-75.9417 +Morgnec,39.2537,-76.0005 +Carlos,39.6237,-78.9567 +Jonestown,39.2221,-76.8075 +Ernstville,39.6304,-78.0239 +Brooklyn Park,39.217,-76.6174 +Crofton,39.0144,-76.68 +Hillandale,39.0254,-76.9751 +Toddville,38.2998,-76.0705 +Melitota,39.2582,-76.1455 +Glassmanor,38.8181,-76.9836 +Accokeek,38.6745,-77.0023 +Marlow Heights,38.8237,-76.9485 +Saint James,39.5738,-77.7482 +Salisbury,38.3755,-75.5867 +Upper Crossroads,39.5423,-76.4741 +Hampstead,39.6109,-76.8552 +Pinehurst,39.1176,-76.4336 +Loch Lynn Heights,39.3919,-79.3726 +Locust Grove,39.3304,-75.9461 +Crownsville,39.0225,-76.5903 +Ewell,37.9957,-76.0333 +North East,39.6077,-75.9414 +Wittman,38.7937,-76.2941 +Newark,38.2749,-75.2735 +Long Meadow,39.6862,-77.7122 +Spring Ridge,39.4043,-77.3413 +Cecilton,39.4045,-75.8676 +Indian Springs,39.6457,-78.0074 +Brunswick,39.318,-77.6253 +Largo,38.88,-76.8289 +Owings Mills,39.4115,-76.7913 +Walker Mill,38.8754,-76.8862 +La Plata,38.5352,-76.9701 +Joppatowne,39.4181,-76.3516 +Highland Beach,38.9312,-76.466 +Barber,38.6421,-76.0199 +Boonsboro,39.5079,-77.6585 +Takoma Park,38.981,-77.0028 +Forest Hill,39.5851,-76.3877 +Solomons,38.3373,-76.4611 +Hickory,39.5787,-76.3452 +Grantsville,39.6969,-79.1528 +Beverly Beach,38.8754,-76.508 +Chevy Chase Section Five,38.984,-77.074 +Walkersville,39.4832,-77.3559 +Woodstock,39.3287,-76.8719 +Webster,39.5734,-76.1563 +Herald Harbor,39.0516,-76.5745 +Chesapeake Ranch Estates,38.3574,-76.4147 +Port Tobacco,38.5137,-77.0183 +Elk Neck,39.5129,-75.9513 +Worton,39.2718,-76.0933 +Davidsonville,38.9229,-76.6283 +Gibson Island,39.0743,-76.4238 +Deer Park,39.424,-79.326 +Fruitland,38.3214,-75.6246 +Elkton,39.6067,-75.821 +Towson,39.3944,-76.619 +Bethesda,38.9866,-77.1188 +Sharptown,38.5382,-75.719 +Sudlersville,39.1834,-75.8536 +Damascus,39.2737,-77.2006 +Chesterville,39.2759,-75.9152 +Jefferson,39.3661,-77.5409 +East New Market,38.597,-75.9232 +Harmony,38.779,-75.8805 +Owings,38.7117,-76.6055 +Ballenger Creek,39.3807,-77.4206 +Edesville,39.154,-76.2097 +Discovery,39.4654,-77.3608 +Glenmont,39.0698,-77.0466 +Queen Anne,38.9191,-75.9535 +Williamsport,39.5974,-77.818 +Emmorton,39.4954,-76.3227 +Manchester,39.6585,-76.8881 +Langley Park,38.9897,-76.9808 +Fairhaven,38.7443,-76.5577 +Kennedyville,39.3059,-75.9947 +Ocean Pines,38.3825,-75.1475 +Whiteford,39.709,-76.3455 +Forest Heights,38.8105,-76.9995 +Carsins,39.5373,-76.2125 +Reid,39.7126,-77.6794 +Fountain Green,39.5473,-76.3136 +Clinton,38.7499,-76.9064 +Catonsville,39.2646,-76.7424 +National,39.6111,-78.9401 +Charlton,39.6344,-77.8944 +Dodge Park,38.9276,-76.8769 +New Carrollton,38.9654,-76.8773 +Brookview,38.5738,-75.7928 +White Plains,38.5904,-76.9403 +Calvert,39.7004,-75.9824 +Mardela Springs,38.4589,-75.7566 +Chaptico,38.3676,-76.783 +Princess Anne,38.2053,-75.6969 +Chevy Chase,38.9943,-77.0737 +Jarrettsville,39.6031,-76.4752 +Aquasco,38.5913,-76.7074 +Sabillasville,39.6973,-77.4562 +Fairlee,39.2268,-76.1654 +Brinklow,39.1659,-77.0155 +Starr,38.9782,-76.0102 +Spring Gap,39.5653,-78.7054 +Hollywood,38.346,-76.5716 +Tracys Landing,38.7801,-76.5958 +Kentmore Park,39.3665,-75.9674 +Riderwood,39.4093,-76.6486 +Myersville,39.5061,-77.5688 +Jugtown,39.6143,-77.5943 +Churchville,39.5612,-76.2455 +Harmans,39.1573,-76.6966 +Great Falls,39.0023,-77.2461 +Matthews,38.8162,-75.9527 +Kent Narrows,38.9704,-76.2385 +Silesia,38.7423,-76.9989 +Rockville,39.0834,-77.1553 +Hagerstown,39.6401,-77.7217 +Pinesburg,39.6269,-77.8561 +Shady Side,38.8285,-76.5211 +Carney,39.405,-76.5236 +Buckeystown,39.3301,-77.4316 +Bel Alton,38.464,-76.9828 +Ruthsburg,39.0032,-75.958 +Millington,39.2629,-75.836 +Oldtown,39.5428,-78.6155 +Baden,38.6719,-76.7428 +Madonna,39.6132,-76.5164 +Crisfield,37.9827,-75.8516 +Kingsville,39.4496,-76.4204 +Pocomoke City,38.0635,-75.5553 +Farmington,39.6787,-76.0322 +Westminster,39.5797,-77.0064 +Dares Beach,38.5618,-76.5155 +Saint Marys City,38.1871,-76.4344 +Four Corners,39.0236,-77.0102 +Danville,39.5125,-78.9184 +Garrett Park,39.0359,-77.0933 +Vale Summit,39.6153,-78.9084 +Edgewood,39.421,-76.2968 +Rohrersville,39.4349,-77.6655 +Unionville,38.8134,-76.1397 +Sandy Bottom,39.1932,-76.1841 +Price,39.0976,-75.9588 +Sweet Air,39.5123,-76.5372 +Leonardtown,38.3038,-76.6395 +Craigtown,39.6004,-76.0733 +Whaleyville,38.3911,-75.3001 +Nikep,39.5516,-78.9978 +Hall,38.9023,-76.7355 +Tolchester Beach,39.2143,-76.2447 +Shepperd,39.5934,-76.5691 +Frederick,39.4335,-77.4157 +Nanticoke,38.2672,-75.8938 +Waldorf,38.6085,-76.9194 +Mechanicsville,38.4355,-76.7424 +Chevy Chase Section Three,38.9793,-77.0742 +Rawlings,39.5403,-78.8858 +Finzel,39.7018,-78.952 +Pleasant Grove,39.6803,-78.6903 +Rosedale,39.3266,-76.5084 +Goldsboro,39.0317,-75.7821 +Forestville,38.8518,-76.8708 +Leitersburg,39.6928,-77.6206 +Galena,39.3426,-75.8787 +Bakersville,39.5148,-77.757 +Halfway,39.6163,-77.77 +Hillcrest Heights,38.8373,-76.9641 +Brookeville,39.1809,-77.059 +Clarksville,39.2065,-76.943 +Longwoods,38.8582,-76.0788 +Silver Spring,39.0028,-77.0207 +Libertytown,39.4858,-77.2481 +Severn,39.1356,-76.694 +Chevy Chase View,39.0192,-77.0809 +Henderson,39.075,-75.7661 +Creswell,39.5076,-76.27 +Smithsburg,39.6564,-77.5763 +Perry Hall,39.4067,-76.4781 +Havre de Grace,39.5481,-76.1145 +Bowie,38.9575,-76.7421 +Smith Island,37.9748,-76.0251 +Fairplay,39.5357,-77.7463 +Ridgely,38.9529,-75.8827 +Newtown,39.3043,-76.148 +Bridgetown,39.0346,-75.8741 +North Kensington,39.0391,-77.0723 +Chestertown,39.2195,-76.071 +Accident,39.6257,-79.32 +Rosaryville,38.7672,-76.8266 +Level,39.5804,-76.1933 +Dublin,39.6509,-76.2666 +Cheverly,38.9253,-76.9141 +Montgomery Village,39.1783,-77.1957 +Marlboro Meadows,38.8374,-76.7144 +Lusby,38.362,-76.4372 +Normans,38.9415,-76.3522 +West Pocomoke,38.0956,-75.5842 +Chevy Chase Village,38.9698,-77.0793 +New Windsor,39.5442,-77.1017 +Randle Cliff Beach,38.6651,-76.5305 +Tunis Mills,38.8204,-76.1663 +Trappe,38.6635,-76.0518 +Cearfoss,39.6989,-77.7766 +Dargan,39.3766,-77.7341 +Gilmore,39.583,-78.9512 +Darlington,39.6425,-76.2035 +Allen,38.2886,-75.6904 +Shawsville,39.6379,-76.555 +Delmar,38.445,-75.5662 +Dawsonville,39.1284,-77.343 +San Mar,39.5524,-77.6406 +Saint Leonard,38.4659,-76.4973 +Robinwood,39.6266,-77.663 +South Kensington,39.0188,-77.0785 +Colmar Manor,38.9302,-76.9437 +Lake Shore,39.1029,-76.4876 +Mount Airy,39.3742,-77.1535 +Rose Haven,38.7257,-76.5388 +Huntingtown,38.6117,-76.6187 +Putnam,39.5654,-76.4602 +Perryville,39.5736,-76.0668 +Suitland,38.8492,-76.9225 +Glenarden,38.9293,-76.8576 +Liberty Grove,39.6559,-76.12 +Flintstone,39.7034,-78.5758 +Norbeck,39.1101,-77.0758 +Bryans Road,38.6144,-77.085 +Joppa,39.4337,-76.3577 +Layhill,39.087,-77.0401 +Bridgeport,39.6423,-77.678 +Berlin,38.3306,-75.215 +Greenbelt,38.9953,-76.8885 +Galestown,38.5632,-75.715 +Jacobsville,39.1215,-76.5175 +Pisgah,38.5462,-77.1347 +North Brentwood,38.945,-76.951 +Bivalve,38.3059,-75.8834 +Clear Spring,39.6561,-77.9304 +Queenstown,38.9853,-76.1677 +Jessup,39.1457,-76.7745 +Spencerville,39.119,-76.9828 +Croom,38.7458,-76.7555 +Mount Harmony,38.6985,-76.6041 +Mattawoman,38.6526,-76.8805 +Oxon Hill,38.7887,-76.9733 +North Potomac,39.0955,-77.2373 +Friendship,38.7359,-76.5878 +Fulton,39.1516,-76.9163 +Tall Timbers,38.1654,-76.5366 +Eldersburg,39.4041,-76.9529 +Wye Mills,38.9412,-76.0805 +Calvert Beach,38.4728,-76.4895 +Dawson,39.4789,-78.9462 +North Bethesda,39.0393,-77.1191 +Aberdeen,39.5146,-76.173 +Edgemont,39.6766,-77.547 +Rossmoor,39.1037,-77.0711 +Mapleville,39.5358,-77.6463 +Rockdale,39.3562,-76.7655 +South Laurel,39.0603,-76.8456 +Bay View,39.6434,-75.9613 +Piscataway,38.7007,-76.9722 +Ilchester,39.2187,-76.7685 +Lawsonia,37.9748,-75.8338 +Bartonsville,39.3866,-77.3434 +Harwood,38.8654,-76.62 +Riverside,39.4777,-76.2385 +North Chevy Chase,39.0022,-77.0745 +Camp Springs,38.8052,-76.9198 +Klondike,39.6102,-78.9634 +Bozman,38.7701,-76.2711 +Butlertown,39.282,-76.0992 +Sunnybrook,39.5043,-76.5714 +Chance,38.1772,-75.9366 +Edmonston,38.9502,-76.9333 +California,38.2969,-76.495 +Lynch,39.2954,-76.0627 +Pine Orchard,39.2776,-76.8611 +Arden on the Severn,39.0677,-76.5963 +Ritchie,38.8707,-76.8555 +Rock Point,38.2754,-76.8428 +Germantown,39.1755,-77.2643 +Claiborne,38.8376,-76.2777 +Riverdale Park,38.9644,-76.9267 +Arbutus,39.2428,-76.6922 +Pomonkey,38.6079,-77.0716 +Rosemont,39.3317,-77.6214 +Harrisonville,39.3859,-76.8333 +Tyaskin,38.3193,-75.8738 +Dominion,38.9471,-76.2811 +District Heights,38.8588,-76.8885 +Cornersville,38.5965,-76.2091 +Secretary,38.6082,-75.9468 +Ringgold,39.7092,-77.5689 +Overlea,39.3642,-76.5176 +Ellicott City,39.2773,-76.8344 +Church Creek,38.5036,-76.153 +Derwood,39.1136,-77.1509 +Mount Lena,39.554,-77.6218 +Downsville,39.5549,-77.8016 +Bladensburg,38.9424,-76.9263 +Cockeysville,39.4793,-76.63 +Bethlehem,38.7462,-75.9441 +Edgewater,38.9373,-76.5572 +Avenue,38.2562,-76.7677 +Simpsonville,39.1868,-76.8819 +Cumberland,39.6515,-78.7585 +Drum Point,38.3325,-76.4295 +Clarksburg,39.2314,-77.2617 +Potomac,39.0141,-77.1943 +Middle River,39.3345,-76.4318 +Elliott,38.3095,-76.0069 +Cordova,38.868,-75.9989 +Friendly,38.7601,-76.9642 +Glenn Dale,38.9833,-76.804 +Georgetown,39.2194,-76.1971 +Templeville,39.1362,-75.7665 +Luke,39.4766,-79.0593 +Dames Quarter,38.1697,-75.8895 +New Market,39.3903,-77.2775 +Elk Mills,39.6587,-75.826 +Galesville,38.8379,-76.5514 +Kitzmiller,39.3894,-79.1833 +Fairview,39.7111,-77.8406 +Birdsville,38.9001,-76.5914 +Oxford,38.6849,-76.1703 +Chillum,38.9667,-76.9789 +Landover,38.9241,-76.8875 +Glen Echo,38.968,-77.141 +Quantico,38.3767,-75.7526 +Furnace Branch,39.1815,-76.6136 +Fort Washington,38.7339,-77.0069 +Yarrowsburg,39.3762,-77.6843 +Potomac Park,39.6124,-78.8082 +Point of Rocks,39.2781,-77.5292 +Monkton,39.5787,-76.6155 +Timonium,39.4463,-76.6083 +Glen Arm,39.4534,-76.4944 +Bristol,38.7923,-76.668 +Fairbank,38.6857,-76.338 +Garrison,39.4023,-76.7514 +Riviera Beach,39.1628,-76.5263 +Roberts,39.1173,-75.9183 +Hampton,39.4222,-76.5696 +Saint Charles,38.6032,-76.9386 +Grasonville,38.9559,-76.1948 +Darnestown,39.096,-77.3032 +Mount Briar,39.4426,-77.6873 +Kemp Mill,39.0412,-77.0214 +Tolchester,39.2218,-76.2349 +Gorman,39.2923,-79.3527 +Williston,38.8308,-75.8511 +Pikesville,39.3893,-76.702 +West Ocean City,38.3476,-75.1115 +Milford Mill,39.3444,-76.7668 +Cobb Island,38.2647,-76.8496 +Woodmore,38.9222,-76.781 +Kingstown,39.2036,-76.0465 +Woodland,39.6081,-78.9497 +Bier,39.5525,-78.8692 +Boyds,39.1837,-77.3128 +Rising Sun,39.7003,-76.0587 +Bloomington,39.4794,-79.0769 +Landover Hills,38.9424,-76.8946 +Rossville,39.3572,-76.4767 +Milford,39.3479,-76.7411 +Bellevue,38.7035,-76.1844 +Orchard Beach,39.1707,-76.5266 +Waterview,38.2482,-75.9017 +Chaneyville,38.6918,-76.64 +Barclay,39.145,-75.8654 +Betterton,39.3652,-76.069 +Sandy Spring,39.1496,-77.0269 +Girdletree,38.0987,-75.4004 +University Park,38.972,-76.9445 +Odenton,39.0661,-76.6939 +East Riverdale,38.96,-76.9108 +Gapland,39.402,-77.6583 +White Hall,39.6218,-76.6286 +Big Pool,39.6251,-78.0161 +Bel Air,39.5348,-76.346 +Big Spring,39.6258,-77.9396 +Colesville,39.073,-77.0009 +Olney,39.1466,-77.0715 +Parole,38.9861,-76.5519 +Sykesville,39.3714,-76.9716 +Riva,38.9449,-76.5876 +Whitehaven,38.2707,-75.7935 +Taneytown,39.657,-77.1682 +Mount Vernon,38.2448,-75.7825 +Long Beach,38.4568,-76.4737 +Jesterville,38.2897,-75.8928 +Fishing Creek,38.3357,-76.2238 +Marlton,38.762,-76.7857 +Popes Creek,38.399,-76.9911 +Little Orleans,39.6308,-78.3921 +Pondsville,39.6234,-77.5916 +Garretts Mill,39.3534,-77.689 +Bayside Beach,39.1365,-76.4433 +Marbury,38.5754,-77.1555 +Wenona,38.139,-75.9502 +Linthicum,39.2088,-76.6625 +Tilghmanton,39.5286,-77.7437 +Greensburg,39.6806,-77.5615 +Woodlawn,39.3054,-76.7489 +Port Deposit,39.6111,-76.098 +Cresaptown,39.5912,-78.855 +Fairland,39.0804,-76.9527 +Grahamtown,39.6448,-78.9224 +Rock Hall,39.1392,-76.2428 +Ellerslie,39.7188,-78.7787 +Corriganville,39.6945,-78.7969 +Hoopersville,38.2612,-76.1799 +Vienna,38.481,-75.832 +College Park,38.9962,-76.9337 +Taylors Island,38.473,-76.3126 +Chesapeake Beach,38.6881,-76.5448 +Moscow,39.5409,-79.0074 +Travilah,39.0571,-77.2458 +Guilford,39.1698,-76.8305 +Perryman,39.4633,-76.2115 +Cavetown,39.6426,-77.5932 +Hebbville,39.3415,-76.7628 +Silver Hill,38.8392,-76.9367 +Friendsville,39.6624,-79.4044 +Eden,38.2792,-75.6533 +Skipton,38.8954,-76.0588 +Barton,39.5323,-79.0171 +Mitchellville,38.9358,-76.8146 +Seabrook,38.9802,-76.8502 +Monrovia,39.3571,-77.2752 +Cottage City,38.9385,-76.9492 +Chester,38.9677,-76.2823 +White Oak,39.0433,-76.9906 +Brownsville,39.3782,-77.6615 +Seneca,39.0787,-77.3392 +Madison,38.5149,-76.2155 +Maryland City,39.1016,-76.8052 +Essex,39.3024,-76.4458 +Blackhorse,39.624,-76.5511 +Ingleside,39.0923,-75.8769 +Hughesville,38.5376,-76.7748 +Baltimore Highlands,39.2355,-76.6367 +Edgemere,39.2273,-76.459 +Midland,39.5896,-78.9486 +Urbana,39.3237,-77.3411 +Scotland,38.089,-76.3619 +Middletown,39.4408,-77.5353 +Comus,39.247,-77.35 +Ady,39.6387,-76.3327 +Bruceville,38.6712,-75.9838 +Emmitsburg,39.7051,-77.3216 +Beallsville,39.179,-77.4128 +Cedarhurst,38.8287,-76.5005 +Dayton,39.2393,-76.9866 +Mattapex,38.9018,-76.3497 +Sherwood,38.7615,-76.3188 +North Laurel,39.1286,-76.8476 +Sandy Hook,39.3285,-77.7052 +Prospect,39.6904,-76.3027 +Norwood,39.1254,-77.0275 +Deale,38.791,-76.5469 +Westernport,39.488,-79.0429 +Randallstown,39.3723,-76.8024 +Franklin,39.4991,-79.0513 +Ashton,39.1493,-77.0125 +Highland,39.1814,-76.957 +Mount Aetna,39.5989,-77.6128 +Greensboro,38.9765,-75.8081 +Lansdowne,39.2365,-76.6659 +Barrelville,39.7026,-78.8425 +Stockton,38.0659,-75.4134 +Brookmont,38.9546,-77.1292 +McCoole,39.4534,-78.9731 +Preston,38.7112,-75.909 +White Crystal Beach,39.4418,-75.9747 +Lonaconing,39.566,-78.9789 +Fair Hill,39.7023,-75.868 +Clarysville,39.6421,-78.8887 +Hebron,38.4243,-75.6871 +Crosby,39.1168,-76.1952 +Gaithersburg,39.1347,-77.213 +Brighton,39.1929,-77.0264 +Poolesville,39.1423,-77.4102 +Laytonsville,39.2094,-77.1418 +Martins Additions,38.9795,-77.0693 +Washington Grove,39.1405,-77.1745 +Parsonsburg,38.3936,-75.4748 +Neavitt,38.7246,-76.2824 +Springdale,38.9383,-76.8423 +Hudson,38.5921,-76.2544 +Eldorado,38.5841,-75.7893 +Charlotte Hall,38.4667,-76.7847 +Lake Arbor,38.907,-76.8299 +La Vale,39.6518,-78.8162 +Granite,39.3429,-76.8555 +Braddock Heights,39.4114,-77.5009 +Dunkirk,38.7156,-76.673 +Hillsboro,38.9171,-75.9422 +Laurel,39.095,-76.8619 +McDaniel,38.8176,-76.278 +Reisterstown,39.4552,-76.8144 +Carrollton Manor,39.0765,-76.5836 +Manor,39.5573,-76.5647 +Cherry Hill,39.6634,-75.8527 +Cabin John,38.9743,-77.1635 +Nanticoke Acres,38.2578,-75.906 +Mayo,38.9041,-76.518 +Sunshine,39.2212,-77.06 +Eagle Harbor,38.5665,-76.687 +Elkridge,39.1941,-76.7427 +Morningside,38.8266,-76.8895 +Jacksonville,39.5182,-76.5594 +Ferndale,39.1869,-76.633 +Detmold,39.5572,-78.991 +Scaggsville,39.1416,-76.8843 +Bagtown,39.583,-77.6139 +Arnold,39.0437,-76.4974 +Aspen Hill,39.0928,-77.0822 +Golden Beach,38.4901,-76.7019 +North Beach,38.708,-76.5347 +Union Bridge,39.5734,-77.1745 +Baltimore,39.3051,-76.6144 +Brentwood,38.9439,-76.9571 +Broomes Island,38.4202,-76.5475 +Abingdon,39.4623,-76.2791 +Fairmount,38.1016,-75.8074 +Pittsville,38.3939,-75.4074 +Temple Hills,38.8106,-76.9495 +Hurlock,38.6268,-75.864 +Sunderland,38.6712,-76.598 +Royal Oak,38.7423,-76.1777 +Piney Point,38.1483,-76.5201 +Churchton,38.8026,-76.5369 +Cardiff,39.7173,-76.3377 +Oakland,39.4165,-79.4022 +Pepperell,42.6695,-71.5905 +Raynham Center,41.9327,-71.0431 +Baldwinville,42.6049,-72.0771 +Woods Hole,41.5303,-70.6614 +Upton,42.1764,-71.6141 +North Sudbury,42.4093,-71.4045 +Arlington,42.4187,-71.1639 +Tyngsboro,42.6768,-71.4245 +Devens,42.5438,-71.6147 +White Horse Beach,41.9309,-70.5578 +Walpole,42.1371,-71.2439 +Barre,42.423,-72.1064 +North Amherst,42.4073,-72.5227 +Sturbridge,42.1001,-72.0635 +Minot,42.2404,-70.762 +Boxford,42.6695,-70.9831 +Brookfield,42.215,-72.1027 +Shelburne Falls,42.6063,-72.7434 +West Springfield,42.107,-72.6204 +Milford,42.1477,-71.5167 +Sandwich,41.7572,-70.4998 +South Westport,41.5709,-71.0578 +North Lakeville,41.8619,-70.9411 +White Island Shores,41.7933,-70.6389 +Hull,42.2861,-70.8835 +Falmouth,41.5516,-70.6088 +Marlborough,42.3494,-71.5468 +Ocean Grove,41.7281,-71.2098 +Belchertown,42.2741,-72.4051 +Seconsett Island,41.5661,-70.5123 +Athol,42.5936,-72.2302 +Brookline,42.3243,-71.1408 +Quincy,42.2516,-71.0183 +Westborough,42.2672,-71.6168 +West Hanover,42.1195,-70.8828 +North Eastham,41.8539,-69.9968 +Yarmouth Port,41.71,-70.2257 +Shirley,42.5397,-71.6587 +Monomoscoy Island,41.5713,-70.5025 +Glenridge,42.2459,-71.3214 +Chicopee,42.1764,-72.5719 +North Chelmsford,42.639,-71.3828 +Liberty Plain,42.189,-70.8828 +Holland,42.0545,-72.153 +Marshfield Hills,42.1486,-70.7315 +Beechwood,42.2098,-70.8189 +Petersham,42.4911,-72.1871 +Lexington,42.4456,-71.2307 +Swampscott,42.4758,-70.9067 +Dedham,42.2467,-71.1777 +Bellingham,42.094,-71.4761 +Northfield,42.7068,-72.4357 +Buzzards Bay,41.7551,-70.6129 +Webster,42.0447,-71.8747 +Waltham,42.3889,-71.2423 +Medford,42.4234,-71.1087 +Gloucester,42.626,-70.6897 +Provincetown,42.0528,-70.1869 +Boston,42.3188,-71.0846 +West Yarmouth,41.6496,-70.2487 +Southville,42.2668,-71.5365 +Duxbury,42.0434,-70.6757 +Topsfield,42.6393,-70.9551 +Stoneham,42.4741,-71.0972 +Danvers,42.574,-70.9494 +Holbrook,42.1471,-71.0057 +Groton,42.6084,-71.5707 +Belmont,42.396,-71.1795 +Andover,42.6554,-71.1418 +Turners Falls,42.5976,-72.5573 +Popponesset Island,41.5855,-70.459 +Haverhill,42.7838,-71.0871 +Hayden Row,42.2043,-71.5106 +Rockport,42.645,-70.616 +North Falmouth,41.6395,-70.626 +West Wareham,41.79,-70.755 +Milton,42.2413,-71.0844 +West Dennis,41.6666,-70.1656 +Warren,42.2155,-72.1887 +Newton,42.3316,-71.2084 +East Walpole,42.162,-71.2106 +Winchester,42.4518,-71.1463 +Longmeadow,42.0475,-72.5719 +Standish,42.107,-70.755 +Ocean Bluff,42.0973,-70.6536 +Bridgewater,41.9888,-70.9717 +Highland Lake,42.1265,-71.3098 +Onset,41.7481,-70.6669 +Pine Rest,42.389,-71.437 +Williamstown,42.7087,-73.2012 +West Brookfield,42.2388,-72.1455 +Burlington,42.5022,-71.2027 +Ayer,42.5613,-71.5848 +Orange,42.5972,-72.3032 +Somerset,41.7405,-71.1612 +Reading,42.5351,-71.1056 +Townsend,42.6717,-71.7041 +Seabrook,41.5831,-70.4992 +Great Barrington,42.1935,-73.3621 +South Yarmouth,41.6692,-70.2005 +Bondsville,42.2126,-72.3454 +Lee,42.3069,-73.2504 +Pittsfield,42.4517,-73.2605 +South Dartmouth,41.5918,-70.9411 +West Boxford,42.707,-71.0639 +Everett,42.4064,-71.0545 +Sagamore,41.7842,-70.5332 +South Deerfield,42.4795,-72.5947 +Easthampton,42.2668,-72.669 +Green Harbor,42.0779,-70.6495 +Salem,42.5129,-70.902 +Hyannis,41.6529,-70.2828 +Brewster,41.7618,-70.0811 +Cochituate,42.329,-71.3576 +Ware,42.2549,-72.246 +Brockton,42.0821,-71.0242 +Vineyard Haven,41.4565,-70.6069 +Pigeon Cove,42.6737,-70.6328 +Granby,42.2633,-72.5243 +Barnstable,41.7001,-70.2995 +Manchester-by-the-Sea,42.5779,-70.7689 +Bliss Corner,41.6054,-70.9421 +Harwich Port,41.6723,-70.064 +Russell,42.1965,-72.8642 +Accord,42.1745,-70.8837 +North Adams,42.6844,-73.1166 +South Acton,42.4584,-71.4537 +Watertown,42.37,-71.1775 +Lynnfield,42.5356,-71.0382 +Cheshire,42.5612,-73.1624 +Chester,42.2827,-72.9809 +Littleton Common,42.5352,-71.4727 +Dennis Port,41.6677,-70.1358 +West Acton,42.4751,-71.4745 +Westfield,42.1382,-72.7561 +North Cohasset,42.2584,-70.8425 +Spencer,42.2451,-71.9924 +North Marshfield,42.1432,-70.7703 +South Walpole,42.1043,-71.2612 +South Dennis,41.7051,-70.1537 +Cambridge,42.3758,-71.1184 +Clinton,42.4183,-71.6856 +Housatonic,42.2487,-73.3626 +Cotuit,41.6168,-70.437 +North Brookfield,42.2711,-72.0842 +Somerville,42.3908,-71.1013 +New Seabury,41.5689,-70.4811 +Northampton,42.3266,-72.6745 +Hatfield,42.372,-72.6069 +South Ashburnham,42.6138,-71.9384 +Methuen,42.734,-71.1889 +Holyoke,42.2126,-72.6411 +Silver Lake,42.5695,-71.1912 +North Pembroke,42.0989,-70.7823 +Brookville,42.1251,-71.0092 +Framingham,42.3085,-71.4368 +Hanover Center,42.1168,-70.8412 +Huntington,42.2408,-72.8822 +Wellesley,42.3043,-71.2855 +Orleans,41.7899,-70.0009 +Essex,42.6333,-70.7743 +Lenox,42.3588,-73.2855 +Forestdale,41.6847,-70.5081 +Sharon,42.1174,-71.1835 +South Amherst,42.3389,-72.5195 +Pine Lake,42.3959,-71.4537 +Foxborough,42.0644,-71.2482 +Wamesit,42.6251,-71.2634 +Shawsheen Village,42.6723,-71.1439 +Newburyport,42.8124,-70.8879 +North Attleboro,41.9834,-71.3328 +Chatham,41.6764,-69.9632 +Ipswich,42.6792,-70.8306 +East Harwich,41.7081,-70.0339 +Agawam,42.0695,-72.6148 +Marshfield Center,42.1168,-70.7162 +Rexhame,42.114,-70.6745 +Marstons Mills,41.6562,-70.4161 +Fitchburg,42.5912,-71.8156 +North Scituate,42.2121,-70.7652 +Deerfield,42.5463,-72.6024 +Lawrence,42.7003,-71.1626 +Fayville,42.2945,-71.5056 +Nahant,42.4299,-70.9273 +Revere,42.4191,-71.0035 +Abington,42.118,-70.959 +East Brookfield,42.2304,-72.0477 +Lunenburg,42.5934,-71.7269 +Rowley,42.7186,-70.8749 +Hanson,42.0649,-70.8521 +Saugus,42.4681,-71.0145 +Dover,42.2475,-71.2741 +Bourne,41.7323,-70.6154 +Needham,42.2814,-71.2411 +North Truro,42.0334,-70.0953 +Greenbush,42.1793,-70.7495 +New Bedford,41.6697,-70.9428 +Adams,42.6277,-73.1187 +East Falmouth,41.5707,-70.5556 +Wilbraham,42.1341,-72.4345 +North Plymouth,41.9728,-70.6882 +West Falmouth,41.6012,-70.6364 +North Wilmington,42.5695,-71.1564 +Franklin,42.0834,-71.3967 +Edgartown,41.3904,-70.519 +Beverly,42.5681,-70.8627 +Rutland,42.3645,-71.9563 +Scituate,42.1867,-70.7355 +Woburn,42.4869,-71.1543 +Chelsea,42.3959,-71.0325 +Siasconset,41.2636,-69.9718 +North Bellingham,42.1209,-71.4556 +East Dennis,41.7392,-70.1577 +Woodville,42.2376,-71.562 +East Sandwich,41.7365,-70.4341 +Hingham,42.2366,-70.8879 +North Hanover,42.1459,-70.8675 +Humarock,42.1362,-70.69 +Worcester,42.2705,-71.8079 +Egypt,42.2126,-70.7584 +Pocasset,41.6877,-70.6202 +Assinippi,42.1584,-70.8509 +Caryville,42.1334,-71.4478 +West Chatham,41.6804,-69.9918 +Melrose,42.4556,-71.059 +Centerville,41.6487,-70.3481 +Forge Village,42.5801,-71.487 +Nutting Lake,42.5379,-71.2689 +Hopedale,42.1279,-71.541 +Popponesset,41.5737,-70.4636 +Nabnasset,42.6126,-71.4203 +Maynard,42.4264,-71.4561 +Islington,42.2237,-71.1898 +West Medway,42.1418,-71.4245 +Monument Beach,41.7192,-70.6061 +Hopkinton,42.2236,-71.5228 +Hudson,42.3918,-71.5645 +Kingston,41.9965,-70.731 +Shore Acres,42.2145,-70.7384 +Peabody,42.5335,-70.9724 +Rockville,42.1407,-71.3592 +Millers Falls,42.5792,-72.4925 +Northborough,42.311,-71.645 +Springfield,42.1155,-72.5395 +Norwood,42.1861,-71.1948 +Lowell,42.6389,-71.3217 +Winchendon,42.681,-72.0436 +Leominster,42.5209,-71.7717 +Marshfield,42.0939,-70.7049 +Harding,42.2037,-71.3239 +Brant Rock,42.0862,-70.6411 +Gardner,42.5845,-71.9867 +Smith Mills,41.6432,-70.992 +Fiskdale,42.1227,-72.1087 +South Chelmsford,42.5709,-71.3759 +Ballardvale,42.6251,-71.1606 +Oxford,42.1161,-71.8705 +Weweantic,41.7398,-70.7351 +North Westport,41.654,-71.0927 +South Lancaster,42.4373,-71.692 +Malden,42.4305,-71.0576 +Whitinsville,42.1146,-71.6688 +Lynn,42.4779,-70.9663 +East Douglas,42.0779,-71.7121 +North Tewksbury,42.6345,-71.2459 +Attleboro,41.9311,-71.295 +North Abington,42.1293,-70.9495 +Wareham Center,41.7511,-70.7198 +Still River,42.4918,-71.6176 +Wilmington,42.5609,-71.1654 +Medfield,42.187,-71.3032 +Wakefield,42.5035,-71.0656 +Plymouth,41.9539,-70.6693 +Amherst Center,42.3757,-72.5188 +River Pines,42.564,-71.2884 +Mashpee Neck,41.6118,-70.4667 +Black Rock,42.2437,-70.8287 +Osterville,41.6284,-70.387 +Madaket,41.2826,-70.1855 +Blandford,42.178,-72.9241 +West Barnstable,41.7057,-70.3745 +North Seekonk,41.8882,-71.3297 +Fall River,41.7136,-71.1015 +Taunton,41.9036,-71.0943 +Randolph,42.1778,-71.0539 +Gleasondale,42.4062,-71.5267 +Marblehead,42.4991,-70.8638 +Teaticket,41.5624,-70.5858 +West Upton,42.1695,-71.6203 +Graniteville,42.5959,-71.462 +South Duxbury,42.0203,-70.6913 +Kent Park,42.1084,-70.6898 +Cordaville,42.2727,-71.5221 +Nantucket,41.2723,-70.0947 +Salisbury,42.8334,-70.8416 +Pinehurst,42.5334,-71.234 +Dennis,41.733,-70.1988 +East Pepperell,42.6654,-71.5635 +West Concord,42.4518,-71.4035 +Clicquot,42.1715,-71.3523 +North Billerica,42.5834,-71.2845 +Castalia,41.4011,-82.808 +Continental,41.0997,-84.2693 +McClure,41.3708,-83.9415 +Columbia Hills Corners,41.3128,-81.9157 +Bradner,41.3236,-83.4362 +Toledo,41.6639,-83.5822 +Wheelersburg,38.7383,-82.8421 +South Zanesville,39.9037,-82.018 +University Heights,41.4948,-81.5348 +Hooven,39.1864,-84.763 +Sheffield Lake,41.4884,-82.0978 +West Mansfield,40.4007,-83.5444 +Curtice,41.6159,-83.3742 +Stryker,41.5024,-84.418 +Goshen,39.2325,-84.1532 +Wren,40.8006,-84.7746 +Ankenytown,40.5342,-82.5049 +Amsden,41.2162,-83.3285 +Mount Cory,40.9348,-83.8235 +Thornport,39.9211,-82.4272 +Newburgh Heights,41.4509,-81.6627 +Holloway,40.1621,-81.1313 +Coalton,39.1117,-82.6108 +Pomeroy,39.0292,-82.034 +Jeffersonville,39.6522,-83.555 +Magnetic Springs,40.3533,-83.2628 +Blue Ash,39.2478,-84.3825 +Collins,41.2508,-82.4915 +Adario,40.9345,-82.4502 +Trotwood,39.7927,-84.3165 +Milford Center,40.1791,-83.4381 +Hamilton,39.3938,-84.5653 +Vanlue,40.9751,-83.4824 +Meyers Lake,40.8159,-81.4165 +Neville,38.8123,-84.2115 +New Riegel,41.052,-83.3191 +Pisgah,39.3184,-84.3688 +Burbank,40.9864,-81.9947 +Nankin,40.9214,-82.2818 +Parral,40.5609,-81.495 +Olena,41.1545,-82.541 +Jewell,41.3259,-84.2855 +Kelloggsville,41.8567,-80.6173 +Russellville,38.8673,-83.7878 +Quincy,40.2956,-83.9686 +Grove City,39.866,-83.0692 +Darbydale,39.8545,-83.1795 +Shauck,40.6209,-82.6618 +Tarlton,39.5543,-82.7782 +Northwood,41.6089,-83.4837 +Corning,39.6016,-82.0876 +Akron,41.0802,-81.5219 +Franklin Furnace,38.6115,-82.8439 +West Lafayette,40.2761,-81.7517 +Jelloway,40.5367,-82.3002 +North Fairfield,41.1045,-82.6137 +West Jefferson,39.9487,-83.2993 +Gibsonburg,41.3875,-83.3216 +Sebring,40.9207,-81.0231 +Morrow,39.35,-84.1231 +Mount Orab,39.0293,-83.9267 +Ohio City,40.7703,-84.6162 +Batesville,39.9156,-81.2818 +Centerville,39.6339,-84.1449 +Antwerp,41.1798,-84.7377 +Chauncey,39.4005,-82.1261 +Tippecanoe,40.2737,-81.2812 +Jacksontown,39.9595,-82.4129 +Chippewa Park,40.516,-83.8875 +Lakewood,41.4824,-81.8008 +Montrose,41.1356,-81.6373 +Felicity,38.839,-84.0985 +Coolville,39.2201,-81.7977 +Lucas,40.7042,-82.4222 +Monfort Heights,39.1822,-84.6075 +South Lebanon,39.3686,-84.219 +Chesapeake,38.4298,-82.4488 +Barnesville,39.9888,-81.1728 +Reminderville,41.3339,-81.4019 +New Baltimore,39.2744,-84.6705 +East Liberty,40.3339,-83.585 +Thurston,39.845,-82.5531 +Celeryville,41.0287,-82.7273 +Wickliffe,41.6072,-81.469 +Groesbeck,39.2292,-84.5969 +Midvale,40.4358,-81.3699 +Monroe,39.4461,-84.3666 +Wilmot,40.6558,-81.6343 +Arlington,40.8939,-83.6529 +Macksburg,39.6314,-81.4562 +Montgomery,39.2494,-84.3457 +Newark,40.0705,-82.425 +Apple Valley,40.4389,-82.3481 +Bellville,40.6292,-82.5238 +Richmond Heights,41.5589,-81.5029 +Addison,38.8862,-82.1463 +Lodi,41.0348,-82.0122 +Kings Mills,39.3584,-84.2505 +De Graff,40.3127,-83.9167 +Columbia Station,41.3131,-81.9468 +Plumwood,40.0089,-83.4148 +Vandalia,39.879,-84.193 +Martinsville,39.3224,-83.8109 +Columbiana,40.8871,-80.675 +Woodbourne,39.6592,-84.1583 +Cherry Grove,39.0802,-84.322 +Miller City,41.1034,-84.1309 +Cairo,40.8304,-84.0846 +Metamora,41.7113,-83.9054 +Gustavus,41.462,-80.6656 +Milan,41.2883,-82.5995 +White Oak,39.2104,-84.6059 +Rosewood,40.2174,-83.9635 +North Perry,41.8003,-81.1241 +Westfield Center,41.0282,-81.9315 +Flushing,40.1481,-81.0644 +Frankfort,39.4069,-83.1842 +Silverton,39.1883,-84.401 +Kirtland,41.5969,-81.3406 +Damascus,40.9042,-80.9524 +Jamestown,39.6598,-83.7422 +Millersburg,40.5534,-81.9171 +Blissfield,40.3998,-81.9654 +Hageman,39.3901,-84.2649 +Grover Hill,41.0189,-84.4775 +Oberlin,41.2857,-82.2197 +North Canton,40.8743,-81.3971 +North Lewisburg,40.2205,-83.5581 +Napoleon,41.3977,-84.1244 +Le Sourdsville,39.4403,-84.4299 +Watertown,39.4659,-81.6332 +Gambier,40.3764,-82.3949 +Kettlersville,40.4389,-84.2597 +Bellefontaine,40.3627,-83.763 +Cambridge,40.0221,-81.5868 +Clinton,40.9284,-81.6306 +Fort Recovery,40.4111,-84.776 +Orangeville,41.3417,-80.5284 +Arlington Heights,39.2151,-84.4555 +Ancor,39.1373,-84.3177 +Twinsburg Heights,41.3064,-81.4579 +Blanchester,39.2934,-83.9798 +Trinway,40.1376,-82.0119 +Waterford,39.5407,-81.6424 +Deerfield,41.0245,-81.0501 +Congress,40.9252,-82.0559 +Medina,41.1358,-81.8694 +Portage Lakes,41.0035,-81.5348 +Gloria Glens Park,41.0577,-81.901 +Catawba Island,41.5853,-82.8369 +Red Lion,39.4914,-84.2497 +Glenford,39.8866,-82.3195 +Spring Valley,39.6103,-84.0069 +North Madison,41.8298,-81.0511 +Addyston,39.137,-84.7103 +New Hope,39.7917,-84.7133 +Milton Center,41.3008,-83.8295 +Saint Paris,40.127,-83.9643 +Dunkinsville,38.8559,-83.4713 +Marengo,40.4008,-82.8109 +Dunlap,39.2908,-84.6303 +Litchfield,41.1678,-82.0229 +Grand Rapids,41.4078,-83.868 +Finneytown,39.216,-84.5146 +Omega,39.1517,-82.9102 +Shaker Heights,41.4744,-81.5496 +Hemlock,39.5905,-82.1545 +Rossburg,40.2803,-84.6385 +Pandora,40.9482,-83.959 +Cutler,39.3542,-81.7901 +Galion,40.7383,-82.7786 +Beallsville,39.8489,-81.0354 +Pleasant Grove,39.9513,-81.9592 +Brecksville,41.3079,-81.6193 +Wetherington,39.3633,-84.3766 +Trenton,39.4791,-84.462 +New Lexington,39.716,-82.208 +Covedale,39.1267,-84.6362 +Centerburg,40.3035,-82.6975 +Lakeside,41.5408,-82.7534 +Kingston,39.4723,-82.912 +West Portsmouth,38.7622,-83.0416 +Piketon,39.0649,-82.9985 +Lisbon,40.7752,-80.7628 +Bratenahl,41.5546,-81.6046 +Obetz,39.867,-82.9452 +Worthington,40.0949,-83.021 +New London,41.0796,-82.4066 +Union,39.9105,-84.2929 +Carey,40.9499,-83.3826 +Fruit Hill,39.0699,-84.367 +Miamisburg,39.6323,-84.2725 +Kirkersville,39.95,-82.5985 +Steubenville,40.3653,-80.6519 +Williamsdale,39.4421,-84.5298 +Eastlake,41.6581,-81.4323 +Powell,40.1678,-83.0817 +Anna,40.3958,-84.176 +Lewisville,39.767,-81.2181 +Parkman,41.3722,-81.0591 +Havana,41.1373,-82.7471 +Lake Milton,41.096,-80.9812 +Millville,39.3925,-84.6528 +The Village of Indian Hill,39.1917,-84.3341 +Wakefield,38.9703,-83.0199 +Oneida,39.4784,-84.3902 +Harlem Springs,40.5209,-81.0031 +Lockington,40.2075,-84.2358 +Ridgeville Corners,41.4387,-84.2554 +Evendale,39.2508,-84.4265 +Eagleville,41.7167,-80.8359 +New Albany,40.0808,-82.7897 +Bedford Heights,41.4042,-81.5053 +Sawyerwood,41.0344,-81.4412 +Russells Point,40.468,-83.8939 +Andover,41.6066,-80.5686 +Ashville,39.7238,-82.9576 +Linndale,41.445,-81.7666 +Jackson,39.046,-82.6493 +Walton Hills,41.3662,-81.5554 +Jerry City,41.2537,-83.6023 +Butler,40.5896,-82.4211 +Vinton,38.9776,-82.3374 +Canal Lewisville,40.299,-81.8402 +Crystal Lakes,39.8862,-84.0243 +Strongsville,41.3128,-81.8313 +Hamden,39.1591,-82.5243 +Lindsey,41.4216,-83.221 +Bloomingburg,39.6079,-83.3953 +Mount Carmel,39.0978,-84.2995 +Marblehead,41.5222,-82.7281 +Friendship,38.698,-83.1004 +Cherry Fork,38.8872,-83.6125 +Marshallville,40.8999,-81.7328 +McDonald,41.1634,-80.7231 +Laura,39.9952,-84.4083 +Roads,39.0812,-82.5379 +Aberdeen,38.6714,-83.7705 +Highpoint,39.2892,-84.3472 +Washingtonville,40.899,-80.7677 +Forest,40.8052,-83.5115 +North Baltimore,41.1799,-83.6701 +Marlboro,40.9504,-81.2166 +Wintersville,40.3791,-80.7095 +Frazeysburg,40.1182,-82.1171 +Day Heights,39.1755,-84.2275 +Remington,39.229,-84.322 +Chesterland,41.5213,-81.3363 +Poland,41.022,-80.6156 +Harrisonville,39.1265,-82.1338 +Fayetteville,39.1849,-83.9317 +Beckett Ridge,39.3448,-84.4381 +Elgin,40.7426,-84.476 +Madison Mills,39.6537,-83.3396 +City View Heights,39.4228,-84.5513 +Greentown,40.9274,-81.402 +Mechanicsburg,40.0735,-83.5564 +Harrison,39.2571,-84.7882 +Cleveland,41.4767,-81.6805 +Campbell,41.0777,-80.5904 +Hopedale,40.3265,-80.8954 +Mount Eaton,40.695,-81.7025 +Osgood,40.3394,-84.4957 +Athens,39.3269,-82.0988 +Clarksburg,39.506,-83.154 +Blakeslee,41.5243,-84.7311 +Buchtel,39.4634,-82.1809 +Georgetown,38.8683,-83.8992 +Hebardville,39.2534,-82.1679 +Rocky Ridge,41.5309,-83.2126 +Stow,41.1765,-81.4344 +College Corner,39.5682,-84.8109 +Harrisburg,39.8107,-83.1686 +Latty,41.0879,-84.5832 +Fairview,40.0573,-81.235 +Amelia,39.0229,-84.2185 +Saybrook,41.8276,-80.8718 +Lyndhurst,41.5172,-81.4922 +Freeport,40.2109,-81.2686 +Ashland,40.8668,-82.3156 +Cleveland Heights,41.5112,-81.5636 +Risingsun,41.2671,-83.4268 +South Webster,38.817,-82.7282 +Belle Valley,39.7888,-81.5565 +Parma,41.3842,-81.7286 +Chatfield,40.9518,-82.9414 +Port Washington,40.3267,-81.5191 +Williamsburg,39.0555,-84.0476 +Dexter,39.0873,-82.2129 +Overpeck,39.4509,-84.5144 +Shreve,40.6814,-82.0217 +Maplewood Park,41.1392,-80.5797 +West Millgrove,41.2427,-83.4915 +New Matamoras,39.5245,-81.0671 +Walnut Creek,40.5427,-81.7213 +Gates Mills,41.5315,-81.41 +Wilberforce,39.7151,-83.8847 +Fresno,40.3308,-81.7386 +Waynesville,39.5329,-84.0903 +Ithaca,39.9378,-84.5533 +Warren,41.2388,-80.8177 +Caldwell,39.7467,-81.5127 +Woodlawn,39.2555,-84.4709 +West Middletown,39.5237,-84.418 +Norton,41.0294,-81.6461 +Plain City,40.1067,-83.2693 +Piedmont,40.1884,-81.1965 +Cuba,39.3612,-83.8638 +Peoria,40.3139,-83.4458 +Hiram,41.3114,-81.1429 +Sinking Spring,39.0747,-83.3871 +Syracuse,38.9984,-81.9686 +Arcadia,41.1078,-83.5144 +Fairport Harbor,41.7476,-81.2731 +Lake Mohawk,40.6608,-81.1929 +Macon,38.9651,-83.7283 +West Point,40.7084,-80.7023 +Madison,41.7722,-81.053 +Salesville,39.9742,-81.3367 +Fultonham,39.8557,-82.1423 +Delphos,40.8481,-84.3368 +Westerville,40.1241,-82.9209 +Smithville,40.8623,-81.8602 +Haskins,41.4648,-83.7043 +South Point,38.4214,-82.5784 +Bergholz,40.5208,-80.8851 +Cynthiana,39.1736,-83.3485 +Richfield,41.2356,-81.6418 +Hockingport,39.1907,-81.7495 +Seven Hills,41.3805,-81.6737 +Fitchville,41.0948,-82.4885 +Malinta,41.3196,-84.0353 +Mantua,41.2819,-81.2221 +Green Camp,40.5321,-83.2076 +Mogadore,41.052,-81.3995 +Harveysburg,39.5022,-83.9984 +Norwood,39.1604,-84.4535 +Beach City,40.6531,-81.5798 +Aquilla,41.5465,-81.173 +Bascom,41.129,-83.2869 +West Farmington,41.3909,-80.973 +Loveland Park,39.2944,-84.2634 +Mifflin,40.7734,-82.3639 +Conesville,40.1849,-81.8917 +Rio Grande,38.8797,-82.379 +South Bloomingville,39.4187,-82.5993 +Bainbridge,39.2265,-83.2695 +Lafferty,40.1142,-81.019 +Fostoria,41.1601,-83.4119 +Royalton,39.7276,-82.7666 +Oakwood,39.7202,-84.1733 +Hudson,41.2399,-81.4408 +Walbridge,41.5863,-83.493 +Port Clinton,41.5094,-82.9383 +Miltonsburg,39.8313,-81.1646 +Hillsboro,39.2123,-83.6113 +Sciotodale,38.7539,-82.8604 +Weston,41.3464,-83.7948 +Circleville,39.6062,-82.9334 +Roundhead,40.5595,-83.8352 +South Russell,41.4318,-81.3351 +Middleburg Heights,41.3695,-81.8151 +Hopkinsville,39.3389,-84.2197 +Lakeline,41.6596,-81.4543 +Reynoldsburg,39.9587,-82.7944 +Mount Vernon,40.3854,-82.4732 +Boston Heights,41.2536,-81.5088 +Gahanna,40.0251,-82.8637 +Wilmington,39.4387,-83.8184 +Austinburg,41.7692,-80.8556 +Lakemore,41.0214,-81.4264 +Unionville Center,40.1368,-83.3416 +Bourneville,39.2829,-83.1596 +Clifton,39.7971,-83.8257 +Madeira,39.1854,-84.3734 +Fort Seneca,41.2044,-83.168 +Empire,40.5117,-80.6261 +Hayesville,40.7752,-82.2596 +Orient,39.8056,-83.1528 +Adena,40.2166,-80.8762 +Fairfield,39.3301,-84.5405 +Duncan Falls,39.8777,-81.9112 +Shelby,40.8846,-82.6578 +Dundee,40.5868,-81.6069 +Plainville,39.144,-84.3593 +Republic,41.125,-83.0167 +Harrod,40.7074,-83.9213 +Wabash,40.5456,-84.75 +North Robinson,40.7925,-82.8568 +Put-in-Bay,41.6527,-82.8174 +Verona,39.9018,-84.4959 +Neapolis,41.4906,-83.8748 +Corwin,39.5249,-84.0676 +Okolona,41.3553,-84.2177 +Hannibal,39.6719,-80.8742 +Morristown,40.0638,-81.0695 +Mecca,41.3895,-80.737 +South Charleston,39.8249,-83.6415 +West Rushville,39.764,-82.4482 +Nova,41.0289,-82.3046 +Nellie,40.3385,-82.0708 +Burlington,38.4099,-82.5283 +Orange,41.4415,-81.4743 +Champion,41.3001,-80.8498 +Sheffield,41.4559,-82.0912 +Murray City,39.5097,-82.1678 +Cuyahoga Falls,41.1641,-81.5206 +Brilliant,40.2701,-80.6318 +North Hampton,39.9886,-83.9442 +Youngstown,41.0993,-80.6463 +Tremont City,40.0147,-83.8385 +Amanda,39.6502,-82.7422 +Reily,39.4337,-84.7611 +Cedarville,39.7471,-83.8109 +Lowellville,41.039,-80.5463 +Austintown,41.0932,-80.7405 +Canal Winchester,39.8432,-82.8121 +Leipsic,41.1094,-83.9676 +Lansing,40.0758,-80.7919 +Park Layne,39.8881,-84.0394 +Hanging Rock,38.5599,-82.7274 +Sagamore Hills,41.3117,-81.5682 +Forestville,39.0711,-84.3389 +Hanoverton,40.7547,-80.9355 +Ansonia,40.2141,-84.6344 +Cooperdale,40.2198,-82.0651 +Mayfield Heights,41.5175,-81.4534 +Crown City,38.5901,-82.2912 +Twinsburg,41.3221,-81.4451 +Grandview Heights,39.9793,-83.0409 +Westboro,39.2815,-83.9105 +Genoa,41.52,-83.3616 +Pickerington,39.889,-82.7678 +West Hill,41.2298,-80.5273 +Lebanon,39.4251,-84.2136 +Roseville,39.8066,-82.0756 +Saint Henry,40.4208,-84.6326 +Sandusky,41.4437,-82.7149 +Bolindale,41.2088,-80.7782 +Plainfield,40.2051,-81.7182 +Alger,40.7095,-83.8439 +Mount Liberty,40.3467,-82.6302 +Carrollton,40.5805,-81.09 +West Richfield,41.2395,-81.6551 +Sarahsville,39.8075,-81.4693 +South Euclid,41.5239,-81.5245 +Fredericktown,40.4784,-82.5486 +Chagrin Falls,41.4321,-81.3887 +Kelleys Island,41.6033,-82.7029 +Euclid,41.5904,-81.5188 +Northfield,41.3426,-81.5286 +Sharpsburg,39.4359,-81.9115 +South Canal,41.1759,-80.9864 +Rose Farm,39.7359,-82.0779 +Wyoming,39.2296,-84.4814 +Covington,40.1174,-84.3508 +Indian Springs,39.3553,-84.5283 +Waverly,39.1256,-82.9836 +Zanesville,39.9567,-82.0133 +Kirby,40.8139,-83.4193 +Defiance,41.281,-84.366 +Avon,41.4485,-82.0187 +Mount Blanchard,40.8986,-83.5569 +Rogers,40.7897,-80.6275 +Saint Clairsville,40.0792,-80.8997 +Eureka,38.6773,-82.1915 +Alliance,40.9107,-81.1189 +Gordon,39.9303,-84.5091 +Richville,40.7529,-81.4684 +New Marshfield,39.3254,-82.2166 +Phillipsburg,39.904,-84.4009 +Bevis,39.2576,-84.6016 +Wakeman,41.253,-82.4028 +Newtonsville,39.1811,-84.0897 +Seville,41.0209,-81.8671 +Clay Center,41.5733,-83.3643 +Buckeye Lake,39.9355,-82.4826 +Turpin Hills,39.1063,-84.3703 +Deer Park,39.2036,-84.3975 +Little Hocking,39.2608,-81.702 +Tylersville,39.3576,-84.4213 +Excello,39.4809,-84.4188 +Petersburg,40.9126,-80.5303 +Kanauga,38.8411,-82.1495 +Eagle Mills,39.3287,-82.6921 +Swanton,41.5842,-83.889 +Glenmont,40.519,-82.0925 +Peebles,38.9463,-83.4094 +Williamsport,39.5824,-83.1206 +Mount Healthy,39.2338,-84.5474 +Bloomingdale,40.3421,-80.818 +Painesville,41.724,-81.2536 +Creston,40.9763,-81.9 +Mineral Ridge,41.1387,-80.766 +Pancoastburg,39.6239,-83.2642 +Collinsville,39.5153,-84.6094 +Wauseon,41.5533,-84.1407 +Kitts Hill,38.5615,-82.5774 +Amberley,39.2033,-84.4283 +Fairlawn,41.127,-81.6213 +Saint Louisville,40.1711,-82.4179 +Sugar Tree Ridge,39.0703,-83.6619 +Norwalk,41.2443,-82.6088 +Maple Heights,41.4094,-81.5625 +Ontario,40.771,-82.6104 +Letart Falls,38.8929,-81.924 +Kalida,40.985,-84.1951 +Minerva,40.7307,-81.1023 +Loudonville,40.6342,-82.2329 +New Straitsville,39.5793,-82.2343 +Wharton,40.8613,-83.4648 +Fairborn,39.801,-84.0094 +Stone Creek,40.3997,-81.558 +Fort Shawnee,40.6814,-84.1487 +Freedom Station,41.2056,-81.1476 +Marne,40.0725,-82.3091 +Sharonville,39.2825,-84.4069 +Beverly,39.55,-81.6362 +Wayne Lakes Park,40.0217,-84.6625 +Silica,41.6814,-83.7422 +Stoutsville,39.6049,-82.8235 +Parkertown,41.3439,-82.7871 +Fernald,39.2756,-84.6897 +Rittman,40.9737,-81.7846 +Socialville,39.3195,-84.3316 +Potsdam,39.9637,-84.4149 +Craig Beach,41.116,-80.9828 +Atwater,41.0265,-81.1622 +Summitville,40.6759,-80.8876 +Hoytville,41.19,-83.7844 +Antioch,39.6606,-81.0668 +Wilkesville,39.0765,-82.3271 +Sycamore,40.9517,-83.1709 +Orrville,40.8482,-81.7747 +McArthur,39.2466,-82.4787 +Galena,40.2219,-82.8802 +West Union,38.7917,-83.5441 +Waite Hill,41.6125,-81.3859 +Amsterdam,40.4717,-80.9217 +Clarktown,38.8498,-82.9085 +Caledonia,40.6363,-82.9694 +Lockbourne,39.8078,-82.9837 +Kent,41.149,-81.361 +Condit,40.2601,-82.788 +Dover,40.5302,-81.4805 +Kansas,41.2452,-83.2839 +Fort Jennings,40.9064,-84.2996 +Lewistown,40.4238,-83.8847 +Hills and Dales,40.829,-81.444 +East Springfield,40.4473,-80.8599 +Lexington,40.68,-82.5793 +Lucasville,38.8783,-82.9934 +Mentor,41.6895,-81.3361 +Kinsman,41.4439,-80.5887 +Bentleyville,41.4122,-81.4121 +Midway,39.7329,-83.4765 +New Bavaria,41.2038,-84.1673 +Geneva-on-the-Lake,41.8562,-80.9492 +Conneaut,41.9278,-80.5685 +Rossford,41.5831,-83.5692 +Manchester,38.6902,-83.6053 +South Perry,39.4967,-82.671 +East Fultonham,39.8472,-82.1221 +Grant,40.7106,-83.568 +Ashtabula,41.8806,-80.7984 +Oregonia,39.4509,-84.096 +Beaverdam,40.8328,-83.9739 +Cloverdale,41.0193,-84.3037 +Garfield Heights,41.4199,-81.6038 +Hepburn,40.6214,-83.4696 +Berlin,40.5628,-81.8011 +Canal Fulton,40.8896,-81.5886 +Union Furnace,39.4617,-82.3563 +Terrace Park,39.1585,-84.3111 +Hollansburg,39.9985,-84.7931 +Beulah Beach,41.3917,-82.4428 +East Canton,40.789,-81.2837 +Rendville,39.6199,-82.09 +Holiday Valley,39.8536,-83.962 +Londonderry,39.2667,-82.7904 +Chester,39.0876,-81.9226 +Moraine,39.6983,-84.2459 +North Lima,40.9484,-80.659 +Barberton,41.0095,-81.6038 +Burgoon,41.2674,-83.2508 +Forest Park,39.286,-84.5257 +Timberlake,41.6655,-81.4428 +Delaware,40.2866,-83.0747 +Sherwood,41.2889,-84.553 +Danville,40.447,-82.2607 +Riverside,39.7836,-84.122 +Sugarcreek,40.5076,-81.6409 +Leavittsburg,41.2452,-80.8788 +Perry Heights,40.7978,-81.468 +Winona,40.8281,-80.8962 +Sardinia,39.009,-83.8013 +East Sparta,40.6637,-81.3628 +Olde West Chester,39.3353,-84.4034 +Lower Salem,39.5635,-81.3942 +Cridersville,40.6513,-84.146 +Massillon,40.7839,-81.5256 +North Star,40.3242,-84.569 +East Liverpool,40.6333,-80.5677 +Vincent,41.4203,-82.116 +Glenmoor,40.6639,-80.6133 +North Olmsted,41.415,-81.919 +Ironton,38.5319,-82.6777 +Olmsted Falls,41.3657,-81.9043 +Marshall,39.152,-83.4849 +Rossmoyne,39.2144,-84.3886 +Killbuck,40.4961,-81.9825 +Colerain Heights,39.2406,-84.598 +Graysville,39.6633,-81.1746 +Cumberland,39.853,-81.6588 +Ravenna,41.1613,-81.2421 +Ostrander,40.2681,-83.2087 +Springboro,39.5612,-84.2349 +Ottawa Hills,41.6683,-83.6433 +New Lyme Station,41.5903,-80.8456 +Nashville,40.5958,-82.1128 +Charm,40.5067,-81.7849 +Chippewa Lake,41.0737,-81.9047 +Whipple,39.5223,-81.4146 +Moreland Hills,41.4422,-81.4294 +Shade,39.2259,-82.0385 +Winesburg,40.6175,-81.6948 +Reno,39.3769,-81.3932 +Struthers,41.051,-80.592 +East Ringgold,39.6695,-82.861 +Melmore,41.0262,-83.105 +Williston,41.6026,-83.3419 +Tedrow,41.6029,-84.2043 +The Plains,39.3656,-82.1343 +Sterling,40.9663,-81.844 +Robertsville,40.762,-81.1936 +Golf Manor,39.1874,-84.4468 +New Burlington,39.562,-83.9655 +Marysville,40.2276,-83.3594 +Byer,39.1815,-82.6313 +Woodmere,41.46,-81.4798 +Streetsboro,41.2396,-81.3456 +Lattasburg,40.8787,-82.1085 +Moxahala,39.6626,-82.1363 +Millfield,39.434,-82.095 +Baltic,40.4437,-81.7015 +Unionvale,40.2723,-80.927 +McComb,41.1068,-83.7898 +Brookside,40.0708,-80.7606 +Willshire,40.7465,-84.7924 +Old Washington,40.0376,-81.4443 +Troy,40.0435,-84.2189 +Woodsdale,39.4345,-84.4758 +London,39.8936,-83.4374 +Lagrange,41.24,-82.1181 +Bay Village,41.4851,-81.9315 +Perry,41.7636,-81.143 +Radnor,40.3852,-83.1459 +Greensburg,40.9317,-81.4648 +Brandon,40.3123,-82.5091 +Kilbourne,40.3323,-82.9592 +Ney,41.3806,-84.5211 +Chillicothe,39.3393,-82.9937 +Kenton,40.6447,-83.6099 +Brentwood,39.2284,-84.5297 +Washington Court House,39.5384,-83.4277 +Monroeville,41.244,-82.7019 +Bucyrus,40.8054,-82.9719 +New Pittsburg,40.8416,-82.0989 +Benton Ridge,41.0042,-83.7927 +Ripley,38.7325,-83.8346 +Haviland,41.0178,-84.5853 +Highland Holiday,39.1949,-83.4703 +Carrothers,40.9981,-82.9221 +Celina,40.5551,-84.5629 +Amherst,41.4022,-82.2303 +Wellston,39.1172,-82.5375 +Donnelsville,39.916,-83.9432 +South Amherst,41.3515,-82.2394 +Middletown,39.5032,-84.3659 +Archbold,41.5161,-84.3035 +Kunkle,41.6359,-84.4941 +Ada,40.768,-83.8252 +Carbondale,39.3778,-82.271 +Reedsville,39.1215,-81.7476 +Brooklyn,41.4349,-81.7498 +Peninsula,41.2378,-81.552 +Bartlett,39.4195,-81.8157 +Englewood,39.8644,-84.3071 +New Paris,39.8565,-84.7922 +Glouster,39.5023,-82.0842 +Lindale,38.9901,-84.2099 +Calcutta,40.6847,-80.5624 +Willowick,41.6343,-81.468 +Wightmans Grove,41.4241,-83.0466 +Pettisville,41.5323,-84.2231 +New Richmond,38.962,-84.2779 +Berea,41.3696,-81.8642 +Ava,39.8317,-81.5748 +Leesville,40.4519,-81.2095 +Lancaster,39.7249,-82.6049 +New Knoxville,40.4943,-84.3164 +Gilboa,41.0187,-83.9216 +Springfield,39.9304,-83.7961 +Saint Charles,39.3914,-84.7425 +Pepper Pike,41.4801,-81.4619 +Northgate,39.2531,-84.5943 +Ghent,41.1584,-81.6368 +Malvern,40.6896,-81.1816 +Johnstown,40.15,-82.6881 +Maustown,39.4056,-84.4516 +Locust Lake,39.0265,-84.2333 +Macedonia,41.3147,-81.499 +Plymouth,40.9966,-82.6672 +New Haven,41.0306,-82.6814 +Shandon,39.3264,-84.7147 +Greenford,40.9439,-80.7915 +Urbancrest,39.9015,-83.0859 +Cuyahoga Heights,41.435,-81.6561 +Glen Este,39.099,-84.258 +Edison,40.5583,-82.8632 +Northview,39.8431,-84.2797 +Lockland,39.2277,-84.4564 +Scioto Furnace,38.7987,-82.7649 +Carlisle,39.5807,-84.3201 +Wayne,41.301,-83.4717 +Darbyville,39.6957,-83.1139 +Coal Grove,38.4976,-82.6423 +Tipp City,39.9643,-84.186 +North Ridgeville,41.3851,-82.0194 +Fremont,41.3533,-83.1146 +Buford,39.0721,-83.8393 +Miamiville,39.2123,-84.3001 +Dallasburg,39.2723,-84.1913 +Kettering,39.6957,-84.1496 +Brooklyn Heights,41.4178,-81.668 +North Lawrence,40.8417,-81.6347 +Trimble,39.4862,-82.0808 +Beavercreek,39.731,-84.0624 +Armstrongs Mills,39.9081,-80.9348 +Huber Ridge,40.0909,-82.9174 +Jacobsburg,39.9651,-80.9043 +Hilliard,40.0352,-83.1577 +North Bloomfield,41.4642,-80.8684 +Pemberville,41.4096,-83.4587 +Gratis,39.6484,-84.5286 +Oak Harbor,41.5123,-83.1429 +Stillwater,40.3234,-81.3084 +Rocky Fork Point,39.1878,-83.4901 +Holgate,41.2493,-84.1292 +Mount Healthy Heights,39.2701,-84.5692 +Higginsport,38.79,-83.9673 +Waynesfield,40.6025,-83.9733 +Oceola,40.8441,-83.0947 +Newcomerstown,40.2761,-81.5949 +Spencer,41.0991,-82.1231 +Northfield Center,41.3142,-81.5393 +Lyons,41.7004,-84.0718 +New Rome,39.9517,-83.1421 +Dola,40.7848,-83.6989 +Coal Run,39.5676,-81.5812 +Summit Station,39.997,-82.7521 +Milledgeville,39.5934,-83.5878 +Saint Martin,39.2117,-83.8844 +Deshler,41.2075,-83.9056 +Mount Pleasant,40.1759,-80.7996 +Canton,40.8076,-81.3677 +Richmond,40.4328,-80.7719 +Louisville,40.837,-81.2643 +Hunter,39.4947,-84.2903 +Morgandale,41.267,-80.7957 +Kirtland Hills,41.6362,-81.3193 +Willoughby,41.646,-81.4084 +Columbus,39.986,-82.9852 +Niles,41.1877,-80.7531 +Eagleport,39.7373,-81.9154 +Springvale,39.2273,-84.1958 +Junction City,39.7218,-82.2997 +Perintown,39.1373,-84.2358 +Elida,40.7868,-84.1995 +North Zanesville,39.9905,-81.9982 +Loveland,39.2679,-84.2731 +Harpster,40.7384,-83.2502 +Bowerston,40.4273,-81.1874 +Valley View,41.3832,-81.6067 +Greenfield,39.3535,-83.3884 +Hamler,41.2281,-84.0355 +Brunersburg,41.3067,-84.3869 +Bowling Green,41.3773,-83.65 +Hamlet,39.019,-84.1997 +McGonigle,39.4459,-84.683 +Elliston,41.5475,-83.2802 +Martinsburg,40.2695,-82.3543 +New Holland,39.5544,-83.2595 +Richmond Dale,39.2042,-82.8122 +New Miami,39.4319,-84.5399 +Rushsylvania,40.4613,-83.6712 +Willowville,39.0956,-84.2483 +Dresden,40.122,-82.013 +Raymond,40.335,-83.4634 +Broughton,41.088,-84.5349 +Homeworth,40.8357,-81.0649 +South Salem,39.3373,-83.3066 +Hanover,40.0825,-82.2759 +Chattanooga,40.637,-84.785 +Lowell,39.5292,-81.5068 +Oak Hill,38.8962,-82.5691 +Churchill,41.1692,-80.666 +Logan,39.5386,-82.4063 +Bridgetown,39.1551,-84.6359 +Venedocia,40.7852,-84.4559 +Epworth Heights,39.2492,-84.2788 +Brentwood Lake,41.3162,-82.0776 +Canfield,41.0315,-80.7671 +Brunswick,41.2464,-81.8198 +Smithfield,40.2715,-80.7772 +Marietta,39.4241,-81.4465 +New Hampshire,40.554,-83.9531 +Leesburg,39.3418,-83.552 +Tuppers Plains,39.1726,-81.8466 +Oxford,39.5062,-84.7434 +Convoy,40.9179,-84.7053 +Highland Hills,41.4507,-81.5191 +Savannah,40.9669,-82.3661 +Wapakoneta,40.5676,-84.1918 +Polk,40.9449,-82.2147 +McCutchenville,40.9944,-83.2547 +North College Hill,39.2173,-84.5517 +Jefferson,41.7383,-80.769 +Granville,40.0646,-82.5022 +Belmore,41.1548,-83.9412 +Reading,39.2241,-84.4332 +Ross,39.3146,-84.6599 +Madisonburg,40.8578,-81.9257 +Martel,40.6689,-82.9102 +Pleasant Run,39.2927,-84.5756 +Good Hope,39.4467,-83.3594 +Sunbury,40.2484,-82.8803 +Brook Park,41.4036,-81.8219 +Harbor Hills,39.9366,-82.4343 +Jewett,40.3681,-81.0031 +Enon,39.8653,-83.933 +McGuffey,40.6926,-83.786 +Simons,41.5334,-80.5331 +Batavia,39.0815,-84.1718 +Middleport,38.9948,-82.0643 +Cygnet,41.2407,-83.6438 +Amesville,39.4016,-81.9549 +Nettle Lake,41.6785,-84.7271 +La Rue,40.5781,-83.3821 +Saint Johns,40.5558,-84.0796 +Yellow Springs,39.7985,-83.8905 +Rowsburg,40.8587,-82.1557 +Broadview Heights,41.3195,-81.6782 +Selma,39.7867,-83.7085 +Fayette,41.6728,-84.3283 +Delta,41.5753,-84.0048 +Vaughnsville,40.8814,-84.1458 +Kipton,41.2665,-82.3039 +Ottawa,41.0204,-84.035 +Port Union,39.3328,-84.4633 +New Bremen,40.4348,-84.3778 +Stockport,39.5489,-81.7944 +Pleasant Hill,40.0505,-84.346 +Athalia,38.5126,-82.3093 +Woodville,41.451,-83.364 +Shiloh,40.9695,-82.6016 +Cecil,41.219,-84.6018 +Middle Point,40.8559,-84.4463 +Cardington,40.498,-82.8937 +Waterville,41.5014,-83.7367 +Mount Gilead,40.5533,-82.8279 +Yorkville,40.1528,-80.7079 +Mendon,40.6733,-84.5175 +Murdock,39.292,-84.206 +Edgewood,41.8784,-80.7461 +Germano,40.4084,-80.947 +Grafton,41.2808,-82.0367 +Tuscarawas,40.3934,-81.4005 +Drexel,39.7382,-84.2931 +Maineville,39.3125,-84.1983 +Alpha,39.7117,-84.0233 +Liberty Center,41.4436,-84.0078 +Heath,40.0241,-82.4412 +Lafayette,40.7589,-83.9499 +Morral,40.6914,-83.2098 +East Danville,39.1159,-83.7191 +Harrisville,40.1816,-80.8869 +Clarksville,39.4016,-83.9828 +Doylestown,40.9699,-81.6958 +Palestine,40.05,-84.7444 +Bloomdale,41.1716,-83.5534 +Shawnee Hills,40.16,-83.1355 +Mingo Junction,40.3244,-80.6174 +Morgantown,39.1295,-83.1982 +Bedford,41.3919,-81.5359 +Byhalia,40.4537,-83.4555 +Upper Sandusky,40.8298,-83.272 +Dublin,40.1111,-83.1452 +Maximo,40.8764,-81.172 +Antrim,40.1203,-81.3584 +Eaton,39.7506,-84.6343 +Navarre,40.7259,-81.513 +Roaming Shores,41.6366,-80.8249 +Keene,40.3451,-81.8682 +Westlake,41.4524,-81.9295 +Clarington,39.7763,-80.8647 +Marion,40.5933,-83.1236 +Maple Ridge,40.9143,-81.0468 +Dalton,40.7992,-81.7038 +Huron,41.3912,-82.5626 +Rochester,41.1246,-82.3058 +Carroll,39.7991,-82.7038 +Upper Arlington,40.0272,-83.0704 +Sixteen Mile Stand,39.2749,-84.3265 +Uniopolis,40.6024,-84.0859 +Valley City,41.2354,-81.9357 +Lime City,41.5351,-83.5669 +Oregon,41.6528,-83.432 +Okeana,39.3478,-84.7675 +Jackson Center,40.4385,-84.0405 +Salineville,40.6207,-80.8345 +Bridgeport,40.0673,-80.7473 +Florida,41.3238,-84.2004 +Milford,39.17,-84.281 +Lake Seneca,41.6695,-84.6516 +Fulton,40.4629,-82.828 +Miltonville,39.5009,-84.4608 +McCuneville,39.629,-82.2343 +Gano,39.3023,-84.4083 +Silver Lake,41.1594,-81.4605 +Brookfield Center,41.2386,-80.5558 +New Bloomington,40.5837,-83.3125 +Sidney,40.2891,-84.1667 +Bellaire,40.0176,-80.7469 +Bay View,41.468,-82.825 +Clyde,41.3046,-82.9782 +Page Manor,39.7659,-84.1097 +New Carlisle,39.9448,-84.0256 +Edon,41.5562,-84.7694 +Bethel,38.9627,-84.0847 +Fort Loramie,40.3443,-84.3696 +Glandorf,41.0278,-84.079 +East Rochester,40.7495,-81.04 +Campbellstown,39.7878,-84.7602 +Princeton,39.3884,-84.4538 +Hunting Valley,41.4802,-81.4108 +Brecon,39.2798,-84.3525 +Mayfield,41.5501,-81.4368 +Elmwood Place,39.1855,-84.4889 +Bailey Lake,40.9489,-82.357 +Darrtown,39.4975,-84.669 +Fairfax,39.1432,-84.3971 +Botkins,40.4588,-84.1782 +Pigeon Creek,41.1101,-81.6723 +Northbrook,39.2466,-84.5795 +Salem,40.9049,-80.8491 +Ballville,41.3269,-83.1367 +Welshfield,41.387,-81.1423 +Uhrichsville,40.4005,-81.3516 +Pulaski,41.5108,-84.5079 +Harbor View,41.6933,-83.4447 +Kidron,40.744,-81.7467 +Norwich,39.9843,-81.7924 +Bowersville,39.5809,-83.7232 +North Randall,41.4327,-81.5289 +Whites Landing,41.4308,-82.896 +Port Jefferson,40.3305,-84.0925 +Pleasant Hills,39.2362,-84.5234 +Old Fort,41.2418,-83.1514 +Grand River,41.7418,-81.2846 +Cheviot,39.1578,-84.6138 +Ottoville,40.9338,-84.3388 +Glendale,39.2705,-84.458 +Rayland,40.1842,-80.6911 +New Franklin,40.9525,-81.5839 +Piqua,40.1504,-84.2439 +Jerusalem,39.8519,-81.0961 +Chardon,41.5803,-81.2082 +Albany,39.2245,-82.1977 +Mount Sterling,39.7134,-83.2734 +Paulding,41.1424,-84.5824 +Bremen,39.7059,-82.4296 +North Industry,40.7389,-81.3668 +Mount Victory,40.5335,-83.5203 +Mowrystown,39.0405,-83.7518 +Castine,39.9311,-84.6247 +Otsego,40.1215,-81.7649 +Lithopolis,39.8113,-82.8155 +Stout,38.664,-83.3791 +Catawba,39.9995,-83.6228 +Bannock,40.1043,-80.9758 +New Madison,39.9677,-84.7082 +Aid,38.5962,-82.4932 +Alexandria,40.09,-82.6119 +Cincinnati,39.1412,-84.5059 +Clarksfield,41.1951,-82.4116 +Zanesfield,40.3387,-83.6777 +Hessville,41.403,-83.243 +Belmont,40.028,-81.041 +Andersonville,39.4338,-83.019 +New Petersburg,39.2623,-83.4449 +Melrose,41.0887,-84.4201 +Beachwood,41.4759,-81.5029 +Perrysburg,41.5377,-83.6413 +Skyline Acres,39.2276,-84.5663 +Hide-A-Way Hills,39.6551,-82.466 +Sylvania,41.71,-83.7085 +Moscow,38.86,-84.2281 +Stony Prairie,41.3521,-83.1521 +Taylors Creek,39.2106,-84.6741 +Mineral City,40.6018,-81.361 +Lynchburg,39.2401,-83.7883 +Spargursville,39.2253,-83.1671 +Barton,40.1073,-80.8412 +Mariemont,39.1429,-84.3783 +Russia,40.2341,-84.4077 +Attica,41.0634,-82.8873 +Butlerville,39.3016,-84.0903 +Elizabethtown,39.162,-84.8038 +Mutual,40.0794,-83.6368 +Midland,39.3068,-83.9105 +Urbana,40.1088,-83.7541 +Munroe Falls,41.1385,-81.4344 +Minster,40.3959,-84.3787 +Sandyville,40.6466,-81.3671 +Gallipolis,38.8186,-82.1934 +Hilltop,41.1643,-80.7419 +Racine,38.9688,-81.9124 +Coshocton,40.2619,-81.848 +Findlay,41.0467,-83.6379 +Lake Lakengren,39.6894,-84.69 +Gerald,41.457,-84.1441 +Bryan,41.4711,-84.5489 +West Carrollton,39.6723,-84.2522 +West Milton,39.9586,-84.3262 +Franklin,39.5538,-84.295 +Perrysville,40.6584,-82.3144 +Thurman,38.9001,-82.4457 +Ludlow Falls,39.9981,-84.3392 +Dodsonville,39.2023,-83.8146 +Lawrenceville,39.9867,-83.8785 +Crooksville,39.769,-82.0956 +Pitsburg,39.9871,-84.488 +Helena,41.3403,-83.2921 +Dexter City,39.6592,-81.4739 +Devola,39.4739,-81.468 +Quaker City,39.9697,-81.2973 +Hubbard,41.1593,-80.5682 +Belle Center,40.509,-83.7453 +Eldorado,39.9042,-84.6752 +Garrettsville,41.2843,-81.0933 +Hunterdon,39.5103,-82.1215 +Versailles,40.2222,-84.4831 +Malaga,39.8548,-81.1493 +Jeromesville,40.8037,-82.1965 +Eaton Estates,41.3061,-82.0114 +Elm Grove,39.0465,-83.1638 +Mulberry,39.1975,-84.2511 +New Middletown,40.9646,-80.5597 +West Liberty,40.2564,-83.7586 +Hicksville,41.2944,-84.7648 +Derby,39.764,-83.2068 +Proctorville,38.4375,-82.3818 +Malta,39.6515,-81.8639 +Pierpont,41.7492,-80.5684 +Parma Heights,41.3865,-81.7637 +Scott,40.989,-84.5837 +Warsaw,40.3356,-82.0017 +Holmesville,40.629,-81.9233 +Brewster,40.7135,-81.599 +Bolivar,40.6505,-81.4555 +Sabina,39.4902,-83.6336 +New Washington,40.9605,-82.8548 +Reinersville,39.6867,-81.661 +Payne,41.0797,-84.7272 +Dry Run,39.1047,-84.3307 +Holland,41.6193,-83.7082 +North Bend,39.1505,-84.7398 +Salem Heights,39.0658,-84.384 +Sycamore Valley,39.6665,-81.2434 +Shadyside,39.9716,-80.7511 +East Cleveland,41.5318,-81.5795 +Minford,38.8618,-82.8552 +Kimball,41.3095,-82.7018 +Dennison,40.3972,-81.3274 +Somerdale,40.5665,-81.3607 +Lakeview,40.4875,-83.9266 +Winchester,38.9436,-83.654 +Howard,40.4092,-82.3275 +Bartles,38.6617,-82.6599 +Thornville,39.8929,-82.4141 +Farmer,41.3831,-84.6305 +East Palestine,40.8392,-80.5467 +Somerset,39.8064,-82.2995 +Jenera,40.8995,-83.7271 +Logan Elm Village,39.5705,-82.9471 +Scio,40.399,-81.0882 +Rock Creek,41.6604,-80.8543 +Sugar Bush Knolls,41.2037,-81.3471 +West Salem,40.9697,-82.1078 +Tiltonsville,40.1721,-80.6973 +Dupont,41.0547,-84.301 +Windham,41.2375,-81.0373 +Green,40.9483,-81.4757 +Adamsville,40.0689,-81.8826 +Nevada,40.8188,-83.1312 +Grandview,39.1921,-84.7246 +Blacklick Estates,39.9049,-82.8655 +Arcanum,39.9923,-84.5543 +West View,41.3603,-81.9026 +Strasburg,40.6007,-81.5295 +Arabia,38.6581,-82.4735 +Gnadenhutten,40.3594,-81.4293 +Greenwich,41.0318,-82.5198 +Crystal Rock,41.448,-82.8419 +Magnolia,40.6531,-81.2917 +Millersport,39.8982,-82.539 +New Philadelphia,40.486,-81.4402 +Branch Hill,39.2462,-84.2933 +Hartville,40.9618,-81.3349 +Port William,39.5523,-83.7856 +Millbury,41.5648,-83.4255 +Crestline,40.7835,-82.7455 +Glencoe,40.0106,-80.8815 +Ridgeway,40.5124,-83.569 +Gratiot,39.9515,-82.2168 +Harriettsville,39.6315,-81.3376 +Camp Dennison,39.1964,-84.2893 +Commercial Point,39.7724,-83.0621 +Lordstown,41.1684,-80.8589 +South Vienna,39.9293,-83.6134 +Coldwater,40.4833,-84.6317 +Whitehouse,41.5214,-83.7958 +Pioneer,41.6775,-84.5534 +Utica,40.2335,-82.441 +North Kingsville,41.9189,-80.6724 +Lincoln Heights,39.2434,-84.4568 +Clayton,39.8689,-84.3292 +Edgerton,41.4497,-84.7497 +Locust Corner,39.0248,-84.2755 +Chesterhill,39.4908,-81.8667 +Stafford,39.7124,-81.2765 +Otway,38.865,-83.1886 +Philo,39.8608,-81.9098 +Nelsonville,39.456,-82.2218 +Blue Rock,39.8001,-81.8915 +Summerfield,39.7969,-81.3355 +Pataskala,40.011,-82.7155 +Orwell,41.5364,-80.8596 +Vickery,41.3769,-82.9416 +Negley,40.7927,-80.536 +Chickasaw,40.4367,-84.4936 +Elmore,41.471,-83.2914 +Pleasant Run Farm,39.3017,-84.5493 +Wilson,39.8598,-81.0689 +Bexley,39.965,-82.9343 +Holiday City,41.6178,-84.5388 +Buckland,40.624,-84.2604 +Bluffton,40.8912,-83.8887 +Dry Ridge,39.2587,-84.6339 +Maplewood,40.3762,-84.0258 +Elyria,41.3761,-82.1063 +Lewis Center,40.1984,-83.0102 +Toboso,40.0565,-82.2182 +Fairfield Beach,39.9183,-82.4791 +North Creek,41.1464,-84.2194 +Warrensville Heights,41.4363,-81.5222 +Ashley,40.4098,-82.9516 +Columbus Grove,40.919,-84.0595 +Lorain,41.4409,-82.184 +Shinrock,41.3462,-82.5213 +Woodworth,40.9881,-80.6634 +Montpelier,41.5816,-84.5971 +Copley,41.0989,-81.6446 +Zoar,40.6134,-81.4233 +Martins Ferry,40.1014,-80.7253 +Zaleski,39.2811,-82.395 +Octa,39.6133,-83.6107 +Tontogany,41.421,-83.741 +Elkton,40.762,-80.6987 +North Royalton,41.3138,-81.7451 +Miami Heights,39.1688,-84.7149 +Willard,41.0518,-82.7232 +Waynesburg,40.6683,-81.2598 +Chesterville,40.4777,-82.6818 +Tallmadge,41.1023,-81.4216 +Adelphi,39.4647,-82.7456 +Bellbrook,39.6384,-84.0864 +McConnelsville,39.6568,-81.8466 +Montville,41.6073,-81.0504 +Wooster,40.8167,-81.9338 +Laurelville,39.4719,-82.7374 +Iberia,40.6747,-82.8403 +Alvordton,41.6646,-84.4346 +Neptune,40.6031,-84.4916 +Allensville,39.2726,-82.6068 +Rarden,38.9233,-83.2425 +Buffalo,39.9169,-81.5205 +Pleasant City,39.9033,-81.5438 +Yankee Lake,41.2683,-80.5691 +Sulphur Springs,40.8722,-82.8765 +Pleasantville,39.8098,-82.5224 +Rocky River,41.4703,-81.8526 +Massieville,39.2651,-82.9668 +Wadsworth,41.0279,-81.7324 +Minerva Park,40.0777,-82.9422 +Bairdstown,41.1711,-83.6072 +Bethesda,40.0164,-81.0727 +Highland Heights,41.5518,-81.4691 +West Leipsic,41.1052,-84.001 +Van Wert,40.8653,-84.5873 +Avon Lake,41.4945,-82.016 +Boardman,41.0334,-80.6671 +La Croft,40.6469,-80.5998 +McKinley Heights,41.186,-80.7178 +Summerside,39.1187,-84.2862 +Xenia,39.6829,-83.9413 +West Manchester,39.9034,-84.6263 +New Waterford,40.848,-80.619 +Flat Rock,41.2355,-82.8591 +Mentor-on-the-Lake,41.7135,-81.365 +Rosemount,38.7812,-82.9664 +Auburn,39.3912,-84.7022 +McDermott,38.8344,-83.0583 +Fletcher,40.1419,-84.1119 +Burton,41.4708,-81.1456 +Lima,40.7409,-84.1121 +Brimfield,41.0941,-81.3483 +New Boston,38.7516,-82.9351 +Leetonia,40.8786,-80.7623 +Westminster,40.699,-83.9795 +Neffs,40.032,-80.8171 +Patterson,40.7823,-83.526 +New Concord,39.9949,-81.7379 +Riverlea,40.0805,-83.0254 +Decatur,38.8156,-83.7038 +Middlefield,41.4604,-81.0734 +Powhatan Point,39.8625,-80.8098 +Groveport,39.8586,-82.8979 +Pleasant Plain,39.2785,-84.112 +Union City,40.1996,-84.7943 +Oakshade,41.6689,-84.1522 +Wellsville,40.6042,-80.655 +Carbon Hill,39.5022,-82.2426 +Miamitown,39.2171,-84.7095 +Claysville,39.9362,-81.6704 +Shawnee,39.6063,-82.2046 +Kenwood,39.2068,-84.3744 +New Athens,40.1845,-80.9948 +New Vienna,39.3254,-83.6939 +Greenhills,39.2669,-84.5191 +Independence,41.378,-81.6385 +Glenwillow,41.3606,-81.4728 +Newtown,39.1241,-84.3514 +Woodsfield,39.7631,-81.1168 +Blue Ball,39.4934,-84.3363 +Byesville,39.9735,-81.5459 +Justus,40.7045,-81.579 +New Lebanon,39.744,-84.3943 +Newport,40.2951,-84.3692 +Limaville,40.984,-81.1483 +Fredericksburg,40.6771,-81.8693 +Camden,39.6374,-84.6446 +Beloit,40.9196,-80.9963 +Broadway,40.3412,-83.4121 +Big Plain,39.8387,-83.2891 +Sparta,40.3944,-82.6995 +Aurora,41.3118,-81.345 +Cadiz,40.2644,-80.998 +Rockford,40.6915,-84.6502 +Croton,40.2387,-82.6924 +Wolfhurst,40.069,-80.781 +Spencerville,40.7079,-84.3526 +Withamsville,39.0628,-84.2808 +Kimbolton,40.1508,-81.5758 +Meeker,40.6437,-83.3058 +Newton Falls,41.1887,-80.9702 +Portsmouth,38.7539,-82.9446 +Haydenville,39.4807,-82.3238 +Sugar Grove,39.628,-82.5455 +Bentonville,38.7455,-83.6103 +South Bloomfield,39.717,-82.9931 +Beaver,39.0319,-82.8252 +Blue Jay,39.2308,-84.7442 +Brice,39.9173,-82.8319 +Somerton,39.9012,-81.1368 +Tiffin,41.1165,-83.1805 +Custar,41.2846,-83.8438 +Mansfield,40.7656,-82.5275 +Springdale,39.291,-84.4759 +Germantown,39.6324,-84.3645 +Toronto,40.4583,-80.6074 +Casstown,40.0528,-84.1285 +Montezuma,40.4892,-84.5497 +Wellington,41.161,-82.2268 +Dent,39.1922,-84.6593 +Bethany,39.3845,-84.3736 +Stratton,40.5254,-80.6315 +Howland Center,41.2483,-80.7444 +Layhigh,39.3617,-84.6961 +Bladensburg,40.2852,-82.2837 +Somerville,39.5639,-84.6391 +Stockdale,38.9578,-82.8574 +Gypsum,41.4934,-82.8757 +Rudolph,41.2966,-83.664 +Tiro,40.9063,-82.769 +West Alexandria,39.745,-84.5361 +Dunkirk,40.788,-83.643 +Valley Hi,40.3163,-83.6758 +Huntsville,40.4424,-83.8043 +Van Buren,41.139,-83.6492 +Olive Branch,39.084,-84.2252 +Masury,41.2083,-80.5378 +Uniontown,40.9736,-81.4045 +Owensville,39.1242,-84.1366 +Mitiwanga,41.3813,-82.466 +New Weston,40.337,-84.6436 +East Claridon,41.5326,-81.1157 +Luckey,41.4525,-83.4839 +Huber Heights,39.8595,-84.113 +Barnhill,40.4497,-81.3679 +North Eaton,41.3134,-81.9813 +South Solon,39.7375,-83.6128 +Farmersville,39.6787,-84.4275 +Seaman,38.937,-83.5754 +Yorkshire,40.3254,-84.495 +Saint Marys,40.5475,-84.3931 +Rutland,39.041,-82.1279 +Sherrodsville,40.4945,-81.2441 +Dellroy,40.555,-81.1992 +Bellevue,41.2743,-82.8394 +Jacksonburg,39.5384,-84.5031 +Richwood,40.4277,-83.2955 +Fruitdale,39.3017,-83.3396 +Dorset,41.6803,-80.6673 +Lincoln Village,39.9532,-83.1314 +Sardis,39.6266,-80.9059 +Dillonvale,40.1985,-80.7757 +New California,40.1503,-83.2372 +Burkettsville,40.353,-84.6426 +Maumee,41.5696,-83.6636 +New Alexandria,40.2916,-80.675 +Jasper,39.0501,-83.0566 +Green Springs,41.257,-83.0529 +Apple Creek,40.7486,-81.8334 +Mason,39.3572,-84.3022 +Marble Cliff,39.9857,-83.0614 +Cleves,39.1632,-84.7463 +Rawson,40.9569,-83.785 +Lake Darby,39.9604,-83.2243 +Big Prairie,40.6673,-82.0952 +Solon,41.3864,-81.4401 +Green Meadows,39.8672,-83.9453 +Belpre,39.2815,-81.5971 +Cheshire,38.9502,-82.1131 +Maud,39.3553,-84.3902 +Saint Bernard,39.171,-84.4956 +Brownsville,39.9438,-82.2517 +Rushville,39.7644,-82.4304 +Bloomville,41.0514,-83.0136 +Brookville,39.8393,-84.4176 +Greenville,40.1043,-84.6209 +Woodstock,40.1736,-83.5281 +Marseilles,40.7012,-83.3923 +Hamersville,38.9191,-83.9854 +Creola,39.3153,-82.4663 +Seven Mile,39.4859,-84.5523 +Fairview Park,41.4419,-81.853 +Brady Lake,41.1623,-81.3142 +Dayton,39.7797,-84.1998 +Brinkhaven,40.4695,-82.194 +Mount Repose,39.1908,-84.2198 +Five Points,39.5595,-84.1867 +Senecaville,39.9348,-81.4594 +Etna,39.9542,-82.6879 +Rocky Hill,38.989,-82.5449 +Chilo,38.7934,-84.1373 +Bradford,40.1319,-84.4293 +Waldo,40.4598,-83.0848 +Pottery Addition,40.4031,-80.6241 +Irondale,40.5728,-80.7259 +Berlin Heights,41.3204,-82.4905 +Highland,39.3439,-83.6001 +Berkey,41.7085,-83.8384 +Luhrig,39.3334,-82.1832 +Mack,39.1501,-84.6791 +Gettysburg,40.1157,-84.4966 +Hebron,39.9644,-82.4898 +Beechwood Trails,40.0252,-82.6463 +West Elkton,39.5881,-84.5597 +Stony Ridge,41.5075,-83.5093 +Lore City,39.9832,-81.4601 +Portage,41.3232,-83.6468 +Rockbridge,39.5862,-82.5262 +Deersville,40.3083,-81.188 +Vermilion,41.4103,-82.3214 +Cortland,41.3319,-80.7192 +Northridge,39.9971,-83.777 +Geneva,41.8007,-80.9461 +Whitehall,39.9682,-82.8833 +Landen,39.3154,-84.2767 +Choctaw Lake,39.9607,-83.4878 +Jacksonville,39.4762,-82.0799 +Bettsville,41.244,-83.2338 +Delhi Hills,39.0871,-84.6177 +Lewisburg,39.8508,-84.5434 +Baltimore,39.8459,-82.6047 +Stewart,39.308,-81.8974 +Prospect,40.454,-83.1848 +Girard,41.1673,-80.6962 +West Unity,41.5884,-84.4308 +Roswell,40.4759,-81.348 +Willoughby Hills,41.5873,-81.4333 +Christiansburg,40.0567,-84.0254 +Stansbury park,40.6356,-112.3054 +Timpie,40.7474,-112.6566 +South Ogden,41.1714,-111.9568 +Hildale,37.0171,-112.9786 +Central Valley,38.6992,-112.0967 +Columbia,39.5169,-110.3827 +Minersville,38.2333,-112.9603 +Fremont,38.4554,-111.6149 +Harrisville,41.2852,-111.9859 +North Salt Lake,40.8439,-111.9188 +Spanish Fork,40.1102,-111.6405 +Iron Springs,37.7497,-113.2347 +Orem,40.2983,-111.6993 +Penrose,41.6508,-112.3016 +West Valley City,40.6889,-112.0115 +Goshen,39.951,-111.9008 +Caineville,38.333,-111.0188 +Enoch,37.7664,-113.0431 +Shivwits,37.1811,-113.7575 +Bothwell,41.7171,-112.2588 +Paradise,41.5678,-111.833 +Teasdale,38.2851,-111.4724 +Tropic,37.6293,-112.0914 +Bridgeland,40.163,-110.2343 +LaVerkin,37.2309,-113.2523 +Cedar Hills,40.4135,-111.753 +Clear Creek,39.6427,-111.1548 +Magna,40.7094,-112.0828 +Hooper,41.1598,-112.287 +Francis,40.6105,-111.2744 +Sugarville,39.4652,-112.6494 +Bluffdale,40.4743,-111.9383 +Kanarraville,37.5378,-113.181 +Bountiful,40.8722,-111.8647 +Gold Hill,40.1663,-113.8306 +Mexican Hat,37.1731,-109.8731 +Big Water,37.0729,-111.6608 +Greenwich,38.4311,-111.923 +Emory,41.0488,-111.3044 +Mount Pleasant,39.5407,-111.4559 +Saratoga Springs,40.3447,-111.9154 +Richmond,41.9231,-111.8075 +Providence,41.7033,-111.8121 +Laketown,41.8276,-111.3243 +Manila,40.9922,-109.721 +Wales,39.4852,-111.636 +Clawson,39.139,-111.0933 +Vernon,40.0956,-112.4457 +Genola,40.0117,-111.8464 +Birdseye,39.9244,-111.5496 +Hyrum,41.6318,-111.8439 +West Bountiful,40.8983,-111.908 +New Harmony,37.4803,-113.3096 +Cedar Fort,40.3414,-112.1086 +Hiawatha,39.4844,-111.0116 +Wallsburg,40.3874,-111.4206 +La Sal,38.3025,-109.2645 +Hinckley,39.3336,-112.6736 +Pine Valley,37.3904,-113.5061 +Snyderville,40.7042,-111.5438 +Lund,38.0075,-113.4316 +Centerville,40.9284,-111.8848 +Marysvale,38.4384,-112.2546 +Oak City,39.3761,-112.3391 +Hurricane,37.1497,-113.3525 +West Jordan,40.6024,-112.0008 +North Ogden,41.3124,-111.9586 +Ivins,37.1742,-113.6809 +Tooele,40.5394,-112.3082 +Interlaken,40.5413,-111.4749 +Oasis,39.2923,-112.629 +Holladay,40.6599,-111.8226 +Burmester,40.6911,-112.4522 +Toquerville,37.2515,-113.2962 +Riverton,40.5176,-111.9635 +Emery,38.9251,-111.2524 +Peoa,40.7257,-111.338 +Vernal,40.4517,-109.5379 +Erda,40.6028,-112.3214 +Wendover,40.7241,-114.025 +Devils Slide,41.0636,-111.5433 +Midvale,40.6148,-111.8928 +Pintura,37.3408,-113.2741 +Kenilworth,39.6803,-110.8146 +Monroe,38.6229,-112.1198 +Rush Valley,40.3613,-112.4506 +Sulphurdale,38.5602,-112.5819 +Sigurd,38.8507,-111.9673 +Lyman,38.3966,-111.5894 +Apple Valley,37.081,-113.1034 +Scofield,39.7198,-111.1623 +Bennion,40.6386,-111.9388 +Smithfield,41.8347,-111.8266 +American Fork,40.3797,-111.7943 +Benjamin,40.0945,-111.7387 +Spring Glen,39.6561,-110.8461 +Kearns,40.652,-112.0093 +Westwater,39.0783,-109.1123 +Monticello,37.8684,-109.3384 +Cove,41.9683,-111.7793 +Avon,41.5354,-111.8125 +Soldier Summit,39.9286,-111.0779 +Bluebell,40.3576,-110.2232 +Grantsville,40.6148,-112.4777 +Eureka,39.9588,-112.1149 +Green River,38.9935,-110.1723 +Montezuma Creek,37.2563,-109.303 +Fairfield,40.2462,-112.0843 +Spring City,39.4799,-111.4918 +Newton,41.8612,-111.9907 +Moroni,39.527,-111.5831 +Thompson Springs,38.9636,-109.7036 +Fruitland,40.2127,-110.8396 +Sunnyside,39.5514,-110.3879 +Talmage,40.34,-110.4274 +Mills,39.4827,-112.028 +Liberty,41.3426,-111.8649 +Hyde Park,41.8009,-111.8117 +Joseph,38.6247,-112.2199 +Hatch,37.6494,-112.4345 +Halchita,37.1314,-109.9131 +Scipio,39.2491,-112.1044 +Elk Ridge,40.0099,-111.6775 +Junction,38.2357,-112.2238 +Gandy,39.4499,-113.983 +Manti,39.2646,-111.638 +Salt Lake City,40.7774,-111.9301 +Alpine,40.4627,-111.7726 +Corinne,41.5497,-112.1227 +Callao,39.8977,-113.7086 +Fielding,41.8126,-112.117 +Trout Creek,39.6894,-113.8286 +Fountain Green,39.6281,-111.6413 +Clinton,41.1395,-112.0656 +Helper,39.6898,-110.8596 +Orangeville,39.2309,-111.0592 +Layton,41.0771,-111.9622 +Huntington,39.3301,-110.9628 +Howell,41.7733,-112.445 +Summit Park,40.7432,-111.5814 +Glendale,37.3342,-112.6035 +Spanish Valley,38.4743,-109.421 +Fayette,39.2246,-111.8542 +Springville,40.1638,-111.6206 +Delta,39.3623,-112.5467 +Wolf Creek,41.3253,-111.8288 +Maeser,40.4719,-109.5786 +Myton,40.1933,-110.0625 +Rockville,37.1478,-113.0548 +Ophir,40.3695,-112.2553 +Bryce Canyon City,37.6814,-112.1588 +Roosevelt,40.2923,-110.0061 +Etna,41.6716,-113.9545 +Summit,37.8013,-112.935 +Sunset,41.1392,-112.0285 +Escalante,37.7648,-111.6 +Enterprise,37.5717,-113.743 +Charleston,40.4661,-111.46 +West Haven,41.2082,-112.0538 +Sutherland,39.3896,-112.6399 +Uintah,41.1427,-111.9333 +Kamas,40.6499,-111.2722 +Farmington,40.9846,-111.9064 +Clear Lake,39.1183,-112.7374 +Beryl,37.8958,-113.6614 +Mendon,41.7101,-111.9777 +Ephraim,39.3577,-111.5819 +Naples,40.4318,-109.4913 +Lucin,41.3483,-113.905 +Alton,37.4303,-112.5062 +Price,39.604,-110.8004 +White City,40.5666,-111.8635 +Sandy City,40.5916,-111.8841 +Kanosh,38.8024,-112.4378 +Ucolo,37.8608,-109.0648 +Lynn,41.8727,-113.7447 +Ogden,41.228,-111.9677 +Abraham,39.3966,-112.718 +Trenton,41.9116,-111.9356 +Val Verda,40.8555,-111.893 +Saint George,37.0769,-113.577 +Lakeside,41.2224,-112.8655 +Kingston,38.2067,-112.1794 +Castle Dale,39.2218,-111.023 +Glenwood,38.7625,-111.988 +Cottonwood,40.6583,-111.8341 +Lapoint,40.4038,-109.7935 +Clearfield,41.103,-112.0237 +Millcreek,40.6892,-111.8291 +Parowan,37.8326,-112.8296 +Union,40.6205,-111.8722 +Sevier,38.5864,-112.2583 +Hoytsville,40.8754,-111.3846 +Panguitch,37.8234,-112.4351 +Gunnison,39.157,-111.8135 +Independence,40.4107,-111.2956 +Cornish,41.9717,-111.9565 +Highland,40.4275,-111.7956 +Redmond,39.0058,-111.8671 +Washington Terrace,41.1683,-111.9783 +Deweyville,41.693,-112.0883 +Ibapah,40.0366,-113.9853 +Millville,41.6855,-111.8213 +Kaysville,41.029,-111.9456 +Midway,40.5183,-111.4753 +Beryl Junction,37.7009,-113.6535 +Eagle Mountain,40.3137,-112.0114 +Cottonwood Heights,40.6137,-111.8144 +Moore,38.9666,-111.1535 +Washington,37.1325,-113.4894 +Marion,40.6813,-111.2829 +Leamington,39.5313,-112.2855 +Indianola,39.803,-111.4888 +Moab,38.57,-109.5476 +Vineyard,40.3058,-111.7545 +Henefer,41.0138,-111.4933 +Lake Shore,40.1322,-111.7483 +Nibley,41.6725,-111.8454 +River Heights,41.722,-111.8194 +Woodside,39.2655,-110.3488 +Taylorsville,40.6569,-111.9493 +Jensen,40.3695,-109.3557 +Aurora,38.9201,-111.934 +Lehi,40.4137,-111.8728 +Cedar City,37.6835,-113.0957 +Leeds,37.2373,-113.3471 +Dammeron Valley,37.3042,-113.6658 +Brigham City,41.5035,-112.0454 +Paragonah,37.8853,-112.7709 +Bear River City,41.6124,-112.125 +Sterling,39.1933,-111.6902 +Dutch John,40.9301,-109.4042 +Central,37.415,-113.6263 +Circleville,38.1684,-112.2716 +Whiterocks,40.4721,-109.9412 +Mount Carmel,37.2472,-112.6644 +Meadow,38.8863,-112.4073 +Beaver,38.2759,-112.6383 +Pleasant View,41.3249,-112.0011 +Loa,38.4038,-111.6451 +Santa Clara,37.1311,-113.656 +Spry,38.0216,-112.3641 +Zane,37.9252,-113.5833 +Gilluly,39.9305,-111.1649 +Ouray,40.0891,-109.6774 +Low,40.7855,-112.9405 +Angle,38.2492,-111.9766 +Riverside,41.8106,-112.1402 +Axtell,39.0552,-111.8219 +White Mesa,37.4596,-109.46 +Fort Duchesne,40.2811,-109.877 +Cedar,39.3939,-110.4549 +Portage,41.9757,-112.2405 +Benson,41.7489,-111.9169 +Ballard,40.2949,-109.9493 +Wellington,39.5358,-110.7344 +Park Valley,41.8174,-113.3292 +Levan,39.5562,-111.8608 +Wellsville,41.6223,-111.943 +Hamiltons Fort,37.6194,-113.1508 +Fillmore,38.964,-112.3387 +Tselakai Dezza,37.21,-109.609 +Salem,40.054,-111.6721 +Park City,40.6505,-111.502 +Cleveland,39.3495,-110.8553 +Palmyra,40.1473,-111.6979 +Oakley,40.7259,-111.277 +Wanship,40.8168,-111.4151 +Castle Valley,38.6325,-109.3966 +Wattis,39.5302,-111.0171 +Garden,41.8866,-111.4328 +Halls Crossing,37.4578,-110.6829 +Huntsville,41.2602,-111.7741 +Rocky Ridge,39.9197,-111.8258 +Colton,39.8525,-111.0129 +Woodruff,41.5214,-111.1632 +Blanding,37.6213,-109.5072 +Fairview,39.6302,-111.4368 +Bluff,37.2913,-109.57 +Garden City,41.937,-111.4122 +Samak,40.6318,-111.2243 +Mapleton,40.1187,-111.574 +Centerfield,39.1275,-111.8189 +Mountain Home,40.3991,-110.3885 +Clive,40.7085,-113.1175 +Grover,38.228,-111.3499 +Faust,40.1841,-112.3919 +Boulder Town,37.9228,-111.4319 +Upalco,40.278,-110.2182 +Navajo Mountain,37.047,-110.79 +Henrieville,37.5638,-112.002 +Garrison,38.9344,-114.033 +Hanksville,38.3724,-110.7137 +Clarkston,41.9204,-112.0503 +Heber City,40.5069,-111.4132 +Logan,41.7402,-111.8419 +Dugway,40.2307,-112.7541 +Marriott-Slaterville,41.2624,-112.0366 +Randolph,41.6642,-111.1849 +Woodland,40.5838,-111.2357 +Provo,40.2458,-111.6457 +Daniel,40.4668,-111.4096 +Hideout,40.643,-111.4007 +Rosette,41.8185,-113.4131 +Saint John,40.3552,-112.453 +Milford,38.3945,-113.0123 +Burrville,38.5708,-111.8635 +Latimer,38.1002,-113.3158 +Randlett,40.2267,-109.8308 +Newcastle,37.6629,-113.5643 +Torrey,38.3078,-111.4269 +Mona,39.8123,-111.85 +Honeyville,41.6361,-112.0857 +Alta,40.5818,-111.6229 +Veyo,37.3375,-113.693 +Nephi,39.7072,-111.8323 +Hatton,38.8389,-112.4566 +Copperton,40.5581,-112.0932 +Cisco,38.97,-109.3207 +Goshute,39.8761,-114 +Elmo,39.3876,-110.8155 +Grouse Creek,41.7094,-113.8833 +Mountain Green,41.1475,-111.7901 +Echo,40.9803,-111.4393 +North Logan,41.7759,-111.8066 +South Salt Lake,40.7056,-111.8986 +Perry,41.4648,-112.0401 +Amalga,41.8565,-111.8974 +Bonanza,40.0304,-109.1884 +Standrod,41.9938,-113.4192 +Woodland Hills,40.0132,-111.6558 +Plain City,41.3071,-112.0877 +Holden,39.1003,-112.2705 +Draper,40.4956,-111.8607 +Coalville,40.9152,-111.3942 +Annabella,38.706,-112.0585 +Salduro,40.7349,-113.8564 +Syracuse,41.0863,-112.0695 +Thatcher,41.6815,-112.3201 +Fruita,38.2855,-111.2468 +Eden,41.3022,-111.8086 +Jericho,39.7502,-112.2055 +Adamsville,38.2583,-112.7938 +Brian Head,37.6977,-112.8416 +Manderfield,38.3594,-112.6388 +Tremonton,41.7187,-112.1891 +Blue Creek,41.8621,-112.4569 +West Point,41.1221,-112.0995 +Cannonville,37.5687,-112.053 +Spring Lake,40.0054,-111.7474 +Roy,41.1716,-112.0479 +Farr West,41.3015,-112.0318 +Antimony,38.103,-111.9823 +Salina,38.9365,-111.8666 +Greenville,38.2544,-112.7124 +Bryce Canyon,37.6283,-112.1677 +Fruit Heights,41.0277,-111.9081 +Orderville,37.254,-112.6574 +Lofgreen,40.0241,-112.3105 +Richfield,38.7629,-112.0925 +Pleasant Grove,40.3714,-111.7411 +Timber Lakes,40.4733,-111.2533 +Ferron,39.0913,-111.1337 +Woods Cross,40.8731,-111.917 +Mantua,41.5006,-111.9344 +Tabiona,40.3543,-110.7095 +Koosharem,38.5135,-111.8822 +South Willard,41.3583,-112.0408 +Willard,41.4146,-112.0446 +West Mountain,40.0654,-111.7868 +Porterville,40.9813,-111.6783 +Bicknell,38.3407,-111.5441 +Lewiston,41.9615,-111.8796 +Lindon,40.3414,-111.7188 +Stockton,40.4496,-112.3672 +Herriman,40.4898,-112.0169 +Murray,40.6498,-111.8875 +Silver City,39.9099,-112.1299 +Thistle,39.9913,-111.4982 +Cedar Highlands,37.6376,-113.0454 +Flowell,38.9791,-112.4286 +Carbonville,39.6272,-110.8337 +Lynndyl,39.5085,-112.3933 +Springdale,37.1816,-113.0048 +Deseret,39.2876,-112.6511 +Gunlock,37.2861,-113.7633 +Virgin,37.2082,-113.2086 +Altamont,40.3587,-110.2886 +Granite,40.5711,-111.7961 +Aneth,37.2051,-109.1623 +Garland,41.7361,-112.1627 +South Jordan,40.5571,-111.9782 +Elsinore,38.6834,-112.1488 +Milburn,39.7041,-111.4249 +Knolls,40.723,-113.2897 +Hanna,40.4041,-110.7652 +Santaquin,39.9712,-111.7936 +Payson,40.0353,-111.7404 +Plymouth,41.8734,-112.1455 +Duchesne,40.1754,-110.394 +Morgan,41.0414,-111.6802 +Neola,40.4343,-110.0309 +Riverdale,41.1734,-112.0024 +Kanab,37.0262,-112.5219 +Mayfield,39.1192,-111.7079 +Wahsatch,41.1991,-111.113 +Elwood,41.6758,-112.1377 +South Weber,41.1334,-111.9392 +Snowville,41.9728,-112.7164 +Moline Acres,38.7456,-90.2431 +Kissee Mills,36.6694,-93.0472 +Byrnes Mill,38.4396,-90.5742 +Post Oak,38.5689,-93.751 +Lakeshire,38.5399,-90.3384 +Edinburg,40.0811,-93.6898 +Worland,38.1878,-94.5919 +Villa Ridge,38.468,-90.885 +Taneyville,36.738,-93.0352 +Machens,38.9031,-90.3323 +Meadville,39.7882,-93.2992 +Doe Run,37.7455,-90.4994 +Bolivar,37.6057,-93.4175 +Wayland,40.3963,-91.5754 +Leawood,37.0334,-94.4947 +Pleasant Hill,38.8061,-94.2655 +Cross Keys,38.8089,-90.2987 +Burgess,37.5562,-94.6152 +Cole Camp,38.4595,-93.2025 +Martinsburg,39.1009,-91.6476 +Farley,39.2889,-94.8284 +Castle Point,38.7573,-90.2487 +Louisiana,39.4414,-91.0626 +Humansville,37.795,-93.5765 +Pomona,36.8671,-91.9134 +Ellington,37.2366,-90.9733 +Lake Lafayette,38.9487,-93.9714 +Skidmore,40.2879,-95.0796 +Hoover,39.3689,-94.6669 +Columbia,38.9478,-92.3258 +Parkville,39.2004,-94.7222 +Monroe City,39.6542,-91.7327 +Verona,36.9631,-93.7936 +Bolckow,40.1152,-94.8211 +Plato,37.5029,-92.22 +Fremont,36.9523,-91.1623 +Mound City,40.1365,-95.2337 +Corder,39.0992,-93.6388 +Ashburn,39.5458,-91.172 +Coffman,37.7845,-90.1943 +High Ridge,38.4609,-90.534 +Avilla,37.1938,-94.1298 +Cowgill,39.5603,-93.9257 +Stotts City,37.1018,-93.9483 +Shirley,37.915,-90.9193 +Atlanta,39.8985,-92.4799 +Hartshorn,37.2648,-91.6704 +Saint Thomas,38.3671,-92.216 +Easton,39.7226,-94.6404 +Wortham,37.8401,-90.6076 +Bixby,37.6603,-91.1151 +Holland,36.0571,-89.8705 +Montrose,38.2587,-93.9827 +Centralia,39.2105,-92.1342 +Lakeland,38.222,-92.631 +Laurie,38.208,-92.8253 +Barnhart,38.336,-90.4046 +Chesterfield,38.6588,-90.5805 +Hannibal,39.7097,-91.3936 +Ash Grove,37.3177,-93.581 +Avondale,39.1545,-94.5452 +Exeter,36.6707,-93.9398 +Wilderness,36.7889,-91.1921 +Chain of Rocks,38.9155,-90.802 +Flordell Hills,38.7174,-90.265 +Theodosia,36.5807,-92.6638 +Brooklyn Heights,37.1694,-94.3856 +Pontiac,36.5165,-92.6037 +Ironton,37.5984,-90.6379 +Competition,37.4837,-92.4291 +Aldrich,37.549,-93.5511 +Goodnight,37.4516,-93.2311 +Eldon,38.3511,-92.5767 +Shoal Creek Estates,37.0173,-94.4933 +Vinita Terrace,38.6849,-90.3296 +Hunnewell,39.6679,-91.8589 +Republic,37.1452,-93.4447 +Fidelity,37.0817,-94.3096 +Syracuse,38.6696,-92.8763 +Branson,36.6511,-93.2633 +Windsor,38.5319,-93.5227 +Winchester,38.5897,-90.5261 +Lone Jack,38.8725,-94.174 +Oakwood Park,39.2047,-94.5738 +Curryville,39.3458,-91.3412 +Waco,37.247,-94.6003 +Lebanon,37.6718,-92.6603 +Tarrants,39.3577,-91.1837 +Blackwater,38.9793,-92.992 +Loma Linda,36.9858,-94.5922 +Denver,40.3989,-94.3233 +Tiff City,36.6684,-94.6172 +Forsyth,36.6922,-93.1101 +Prairie Hill,39.5186,-92.738 +La Monte,38.7722,-93.4237 +Browning,40.0348,-93.16 +Wentzville,38.8164,-90.867 +Willow Springs,36.9878,-91.962 +Gideon,36.4489,-89.9128 +Bucyrus,37.3442,-92.0168 +Augusta,38.5684,-90.8806 +Rea,40.0616,-94.7646 +Reynolds,37.4009,-91.0735 +Redings Mill,37.0196,-94.517 +Lamar,37.4944,-94.2785 +Neck City,37.2549,-94.4449 +Zion,37.4217,-90.3101 +Walnut Grove,37.4112,-93.548 +Bragg City,36.2682,-89.9115 +Tightwad,38.3096,-93.5466 +Saint James,38.0013,-91.6154 +Diehlstadt,36.9593,-89.4324 +Linn,38.4788,-91.845 +Rocky Ridge Ranch,37.9303,-90.2385 +Oak Ridge,37.4985,-89.7296 +Hamilton,39.7426,-94.002 +Ferguson,38.749,-90.2949 +Brownbranch,36.7945,-92.8307 +Sumner,39.656,-93.2434 +Mooresville,39.7468,-93.721 +Lamar Heights,37.4937,-94.2955 +McKittrick,38.7357,-91.4449 +Cedar Hill,38.3575,-90.6409 +Amity,39.8683,-94.4354 +Fountain N' Lakes,38.9689,-90.8493 +Emma,38.9751,-93.495 +Hopkins,40.5511,-94.8171 +Greer,36.7695,-91.3535 +Breckenridge Hills,38.7157,-90.3684 +Irwin,37.5886,-94.2871 +Millersville,37.4328,-89.7995 +Indian Point,36.6428,-93.3444 +Sibley,39.1758,-94.201 +Silver Lake,37.6837,-89.9901 +Glover,37.4864,-90.6912 +Town and Country,38.6317,-90.4791 +Montier,36.9817,-91.5749 +Gibson,36.4412,-90.0309 +Revere,40.4943,-91.6763 +Lake Mykee Town,38.6763,-92.1013 +Lohman,38.5431,-92.3646 +Haywood City,37.0117,-89.6003 +Grandview,38.8802,-94.5227 +Rockaway Beach,36.702,-93.1622 +Clark,39.2763,-92.3477 +South Fork,36.6311,-91.9602 +Bucklin,39.7837,-92.8879 +Old Monroe,38.9382,-90.7469 +Briar,36.6484,-90.9718 +Scott City,37.2243,-89.536 +Paynesville,39.2624,-90.9002 +Gallatin,39.9106,-93.9642 +Strasburg,38.7598,-94.1648 +Grayson,39.5333,-94.5644 +High Point,38.4845,-92.5907 +Clarksdale,39.8139,-94.5508 +Dexter,36.793,-89.9632 +Blue Eye,36.515,-93.3828 +Glendale,38.5935,-90.3826 +Quincy,38.0084,-93.4724 +Shoal Creek Drive,37.0371,-94.5229 +Jameson,40.0059,-93.9879 +Jennings,38.723,-90.2643 +Pasadena Hills,38.7083,-90.2922 +Wooldridge,38.9066,-92.5214 +Canton,40.1295,-91.5266 +Richmond,39.2758,-93.9734 +Knob Noster,38.7674,-93.5617 +Kelso,37.1923,-89.5503 +Saint Peters,38.7825,-90.6061 +Wilbur Park,38.5532,-90.3086 +Steelville,37.9696,-91.3545 +Luray,40.4524,-91.8841 +Lockwood,37.3867,-93.9579 +Kimmswick,38.3655,-90.3645 +Caplinger Mills,37.7942,-93.8044 +Seymour,37.1485,-92.7694 +Mountain View,36.9936,-91.7019 +Lake Winnebago,38.8234,-94.3612 +Belgique,37.8376,-89.7812 +Corning,40.2486,-95.4545 +Nixa,37.0459,-93.2953 +Gentry,40.3326,-94.4233 +Queen City,40.4127,-92.5663 +Lathrop,39.5515,-94.3286 +Hartville,37.2502,-92.512 +La Belle,40.1165,-91.9147 +Roby,37.5156,-92.139 +Brighton,37.4578,-93.348 +Ozora,37.8666,-90.0517 +Glenallen,37.3171,-90.0282 +Stanberry,40.2166,-94.5381 +Ridgeway,40.3781,-93.9379 +Hoberg,37.0682,-93.8493 +Tunas,37.8498,-93.0277 +Zalma,37.1423,-90.0825 +Henley,38.3445,-92.3224 +Union,38.44,-90.9928 +Westboro,40.535,-95.3211 +Rushville,39.5872,-95.0244 +Highlandville,36.9409,-93.283 +Patton,37.5023,-90.0134 +Lewistown,40.0847,-91.8138 +Herculaneum,38.2573,-90.3934 +Freeburg,38.3164,-91.9223 +Rush Hill,39.2104,-91.7246 +Creighton,38.4965,-94.072 +Uplands Park,38.6926,-90.2829 +Spickard,40.2432,-93.5924 +Greenfield,37.4162,-93.8432 +Edina,40.168,-92.1732 +Elm Point,38.8181,-90.4871 +Butterfield,36.7464,-93.9047 +Saint Cloud,38.1732,-91.2127 +Bowling Green,39.3447,-91.2031 +Pacific,38.4805,-90.7543 +Naylor,36.5745,-90.6056 +Westphalia,38.4414,-92.0005 +Hartwell,38.4331,-93.9342 +Birmingham,39.1674,-94.4502 +Sycamore Hills,38.7013,-90.3489 +Koshkonong,36.5974,-91.6461 +Raymore,38.8029,-94.4583 +Centerville,37.4368,-90.9601 +Nevada,37.8445,-94.3492 +Keyes Summit,38.5673,-90.4629 +Rich Hill,38.0958,-94.3633 +Seligman,36.5232,-93.9388 +Sabula,37.4048,-90.6962 +Denton,36.0898,-89.8915 +Shoveltown,38.8156,-90.2807 +Loch Lloyd,38.831,-94.5977 +Ellsinore,36.9329,-90.7475 +De Kalb,39.5883,-94.9236 +Bel-Nor,38.7017,-90.3179 +Annapolis,37.3605,-90.6975 +Cassville,36.6786,-93.8681 +Calhoun,38.4683,-93.6251 +Utica,39.7455,-93.6287 +Greentop,40.3508,-92.5657 +Wakenda,39.3142,-93.3772 +Sunset Hills,38.531,-90.4088 +Golden City,37.3931,-94.0942 +Glasgow,39.2279,-92.8394 +Hume,38.0906,-94.5827 +Wittenberg,37.6526,-89.5245 +Dresden,38.7511,-93.3349 +Windyville,37.7067,-92.9271 +Swedeborg,37.9139,-92.3318 +Crystal City,38.2221,-90.3808 +Clayton,38.6444,-90.3303 +Edgerton,39.5022,-94.629 +Carrollton,39.3636,-93.4955 +Marionville,37.0023,-93.636 +Urich,38.4604,-93.9989 +Airport Drive,37.1406,-94.5162 +Falcon,37.605,-92.3788 +McCord Bend,36.7875,-93.5034 +Gower,39.6129,-94.5947 +Cherryville,37.852,-91.2768 +Bradleyville,36.7837,-92.9082 +Lupus,38.8459,-92.454 +South Shore,38.8653,-90.5232 +Oxly,36.6025,-90.679 +Charlack,38.7029,-90.3426 +Eureka,38.5013,-90.6491 +Hurdland,40.1489,-92.3034 +Chesapeake,37.1161,-93.6791 +Joplin,37.0766,-94.5016 +Dunnegan,37.7081,-93.5769 +Phelps City,40.4006,-95.595 +Oakville,38.4472,-90.3199 +Saint Louis,38.6358,-90.2451 +Pasadena Park,38.711,-90.2974 +Lawson,39.436,-94.2151 +Truxton,39.0035,-91.2403 +Brashear,40.1483,-92.3789 +Gray Summit,38.4951,-90.8173 +House Springs,38.4089,-90.5701 +Wheaton,36.7616,-94.057 +Wheeling,39.786,-93.3862 +Kingdom City,38.9473,-91.9389 +Weaubleau,37.8915,-93.5404 +Terre du Lac,37.9031,-90.6158 +Plevna,39.9765,-92.0852 +Walnut Shade,36.7326,-93.1935 +Belgrade,37.7867,-90.8493 +Stella,36.7625,-94.1909 +Qulin,36.5977,-90.2522 +Wood Heights,39.3414,-94.1635 +Bunceton,38.7894,-92.7992 +Protem,36.529,-92.8588 +Leslie,38.4179,-91.2312 +Salisbury,39.4233,-92.8025 +Pleasant Green,38.8061,-92.9627 +Irena,40.5403,-94.3899 +Lake Saint Louis,38.7848,-90.7873 +Myrtle,36.5087,-91.2671 +Grain Valley,39.0166,-94.2086 +Yukon,37.2731,-91.8482 +Laddonia,39.2434,-91.6424 +Manchester,38.5831,-90.5064 +Hayti Heights,36.2311,-89.7682 +Rover,36.7217,-91.621 +Van Buren,37.0082,-91.0113 +Lynchburg,37.4931,-92.2943 +Humphreys,40.1252,-93.3195 +Dudley,36.7897,-90.0917 +Affton,38.5493,-90.3256 +Eagle Rock,36.5498,-93.7416 +Newark,39.9946,-91.9734 +Saint Clement,39.2829,-91.2098 +Canalou,36.7541,-89.6865 +Northwoods,38.7035,-90.2824 +Dixon,37.9953,-92.0956 +North Lilbourn,36.6018,-89.6221 +Emden,39.7964,-91.8629 +Atlas,37.0951,-94.3861 +Annada,39.2622,-90.8287 +Oaks,39.197,-94.572 +Brunswick,39.4257,-93.1267 +Eagleville,40.4684,-93.9861 +Jerico Springs,37.6194,-94.0115 +Moundville,37.7646,-94.451 +Richmond Heights,38.6309,-90.3332 +Waverly,39.2072,-93.5187 +Lodi,37.2564,-90.4529 +Wildwood,38.5798,-90.6697 +Iron Gates,37.067,-94.5544 +La Plata,40.0242,-92.4914 +Kearney,39.3547,-94.3589 +Rothville,39.6539,-93.0636 +Tindall,40.1609,-93.6097 +Monticello,40.1191,-91.7129 +Gravois Mills,38.3049,-92.8244 +Cape Fair,36.7301,-93.5102 +Brookline,37.1634,-93.4202 +Harris,40.3061,-93.3504 +Dora,36.777,-92.2174 +Tallapoosa,36.5061,-89.817 +Defiance,38.6327,-90.7847 +Valley Park,38.5514,-90.4922 +Laclede,39.7878,-93.1697 +Vandalia,39.308,-91.4892 +Missouri City,39.24,-94.3009 +Rutledge,40.314,-92.0876 +Goss,39.5148,-91.9435 +Longtown,37.6702,-89.7741 +Ashley,39.2537,-91.2239 +Glenaire,39.2198,-94.4515 +Miami,39.3224,-93.2258 +Bowers Mill,37.1498,-94.0563 +Arbela,40.4631,-92.0156 +Middletown,39.1286,-91.4139 +Merwin,38.4041,-94.5908 +Risco,36.5512,-89.8186 +Rome,36.8414,-92.7735 +Climax Springs,38.1004,-93.0528 +Pagedale,38.6801,-90.3082 +Normandy,38.707,-90.3008 +Centertown,38.618,-92.409 +New Madrid,36.5879,-89.5505 +Arcola,37.5493,-93.8761 +Kewanee,36.6712,-89.574 +Cool Valley,38.7251,-90.3058 +Phillipsburg,37.5525,-92.7871 +Liberal,37.559,-94.5161 +Middle Grove,39.395,-92.2705 +Savannah,39.939,-94.8279 +Cairo,39.5114,-92.441 +Sikeston,36.8875,-89.587 +Dillard,37.7367,-91.2043 +Ford City,40.1117,-94.4647 +Fortescue,40.0519,-95.3176 +Milan,40.2031,-93.124 +Pollock,40.3584,-93.084 +Lake Waukomis,39.2309,-94.6386 +Howes Mill,37.6178,-91.2918 +Tuscumbia,38.237,-92.46 +Biehle,37.6065,-89.8377 +Polo,39.5495,-94.0396 +Milo,37.7554,-94.3051 +Leadwood,37.8618,-90.5892 +Oronogo,37.1917,-94.4639 +Fruitland,37.4487,-89.6387 +Elkton,37.8525,-93.426 +Old Appleton,37.5938,-89.7108 +Musicks Ferry,38.8614,-90.3384 +Peach Orchard,36.3656,-89.934 +Bertrand,36.9086,-89.4496 +Willard,37.2935,-93.417 +Excello,39.6334,-92.4743 +Liberty,39.2394,-94.4191 +Fair Play,37.6331,-93.5769 +Monett,36.9219,-93.9263 +Frankford,39.4934,-91.3209 +Leadington,37.8342,-90.4805 +Plattsburg,39.5644,-94.4615 +Jamestown,38.7667,-92.4802 +Marthasville,38.631,-91.0573 +Laredo,40.0261,-93.4479 +Evergreen,37.5486,-92.5961 +Oakland Park,37.1128,-94.4761 +Millersburg,38.8987,-92.1235 +Hayti,36.2323,-89.7474 +Holt,39.4553,-94.3371 +Otterville,38.7029,-93.0028 +Lemay,38.5315,-90.284 +Grand Falls Plaza,37.0355,-94.5379 +Ladue,38.6378,-90.3815 +Pierce City,36.9465,-94.0032 +Libertyville,37.7037,-90.2882 +Miramiguoa Park,38.2389,-91.0688 +Arkoe,40.2596,-94.8291 +Longrun,36.6492,-92.7232 +Deering,36.1909,-89.8829 +Houstonia,38.8994,-93.3596 +Elkland,37.4431,-93.031 +Marceline,39.7166,-92.9473 +Napoleon,39.1293,-94.0857 +Pineville,36.5746,-94.3912 +Commerce,37.1584,-89.4467 +Granby,36.918,-94.2607 +Iberia,38.0886,-92.2962 +Florissant,38.7996,-90.3269 +Galloway,37.1367,-93.238 +Mine La Motte,37.6145,-90.2943 +Barretts,38.5717,-90.4601 +Mindenmines,37.4728,-94.5889 +Siloam Springs,36.7956,-92.0754 +Diamond,36.9969,-94.3152 +Clearmont,40.508,-95.033 +Cabool,37.1262,-92.1032 +Buckner,39.1336,-94.1929 +Saint Francisville,40.4501,-91.5714 +Fenton,38.5279,-90.4489 +Hollister,36.6051,-93.234 +Callao,39.7623,-92.6237 +Grand Pass,39.205,-93.4427 +Buffalo,37.6445,-93.0969 +Pine Lawn,38.6953,-90.2756 +Kirbyville,36.6294,-93.1576 +Buell,39.0342,-91.439 +Kimberling City,36.6441,-93.4239 +South Lineville,40.5785,-93.5243 +Clinton,38.3716,-93.7679 +Saint Robert,37.8234,-92.1514 +Josephville,38.829,-90.7872 +Shelbyville,39.8071,-92.0404 +Bel-Ridge,38.713,-90.3285 +Hartsburg,38.697,-92.3073 +Mayview,39.0529,-93.833 +Reeds Spring,36.7402,-93.3797 +Sarcoxie,37.0679,-94.1229 +Bonne Terre,37.9209,-90.5425 +Bland,38.3005,-91.6331 +Bellefontaine Neighbors,38.7528,-90.2278 +Grayridge,36.8247,-89.7819 +Tiffin,37.955,-93.9383 +Mountain Grove,37.1341,-92.266 +Marys Home,38.3056,-92.3552 +Smithton,38.6812,-93.093 +Allenville,37.2218,-89.7553 +Newburg,37.916,-91.9004 +Tarkio,40.443,-95.3835 +Illmo,37.2198,-89.509 +Bennett Springs,37.7255,-92.8533 +Stotesbury,37.9744,-94.5645 +California,38.6304,-92.5667 +Stillings,39.3197,-94.888 +Renick,39.3419,-92.4109 +Osgood,40.1972,-93.35 +Montevallo,37.7262,-94.1083 +Winfield,38.9944,-90.7437 +Ravenwood,40.3526,-94.6718 +Hollywood,36.0542,-90.1862 +Pilot Grove,38.8736,-92.9126 +Flemington,37.8039,-93.5014 +Caledonia,37.7651,-90.772 +Lake Spring,37.7825,-91.6788 +Deerfield,37.8386,-94.5078 +Fayette,39.147,-92.6857 +Merriam Woods,36.7181,-93.1714 +New Florence,38.9092,-91.4529 +Simmons,37.2306,-92.0154 +Parkdale,38.4795,-90.5281 +Vibbard,39.3806,-94.1463 +Delta,37.1974,-89.7392 +Everton,37.3429,-93.7024 +Matthews,36.7584,-89.5688 +Deepwater,38.2592,-93.7746 +Hematite,38.202,-90.481 +Camdenton,38.0121,-92.75 +Fortuna,38.5667,-92.798 +Conception Junction,40.2684,-94.6914 +Lincoln,38.394,-93.3313 +Piney Park,38.3012,-90.9429 +De Soto,38.141,-90.5609 +Success,37.4437,-92.0877 +Rockville,38.0712,-94.0803 +Bellflower,39.0036,-91.352 +Hillsdale,38.6857,-90.2868 +Scotsdale,38.3915,-90.5907 +Saint Elizabeth,38.256,-92.2665 +Brandsville,36.6507,-91.6964 +Fairport,39.9878,-94.3461 +Montreal,37.9702,-92.588 +Malden,36.5873,-89.9825 +Beverly,39.3681,-94.8672 +Charleston,36.918,-89.3343 +Parkway,38.3369,-90.9717 +New Cambria,39.7765,-92.7515 +Calverton Park,38.7655,-90.3104 +Battlefield,37.119,-93.3683 +Whitewater,37.2368,-89.7978 +Country Life Acres,38.6225,-90.4551 +Rington,36.4556,-90.1428 +Concord,38.5117,-90.3573 +Craig,40.1923,-95.3742 +Windsor Place,38.9341,-92.7023 +Mexico,39.1626,-91.8711 +Brownwood,37.0809,-89.9545 +Asbury,37.2729,-94.6052 +Caulfield,36.6145,-92.1049 +Loose Creek,38.5081,-91.9574 +Concordia,38.9877,-93.5683 +Bull Creek,36.715,-93.2021 +Bonnots Mill,38.5781,-91.9657 +Homestead,39.3632,-94.2006 +Puxico,36.9507,-90.1586 +Higbee,39.3059,-92.5129 +Excelsior Springs,39.3395,-94.2377 +Kingsville,38.7438,-94.0697 +Oak Grove Village,38.2279,-91.1493 +Purdy,36.8187,-93.9206 +Mount Vernon,37.105,-93.8191 +Clarkson Valley,38.6257,-90.5945 +Philadelphia,39.8387,-91.7391 +Oakwood Manor,39.1969,-94.5644 +Farber,39.2746,-91.5763 +Jane,36.5404,-94.3079 +Goodman,36.7388,-94.4091 +Pickering,40.4502,-94.8414 +Purcell,37.2433,-94.4394 +Norborne,39.3024,-93.6759 +Danville,38.9126,-91.5324 +Gladden,37.4987,-91.4565 +Mendon,39.5905,-93.1337 +Excelsior Estates,39.39,-94.2082 +Pinhook,36.7381,-89.2695 +Licking,37.4993,-91.8618 +Olivette,38.6725,-90.3784 +Rock Hill,38.609,-90.3673 +Odessa,38.9988,-93.9665 +Country Club Village,39.8388,-94.8205 +Grantwood Village,38.5509,-90.3532 +New Melle,38.7182,-90.8834 +Marshfield,37.3414,-92.9116 +Alton,36.6901,-91.3947 +Norwood Court,38.7143,-90.2896 +Murphy,38.4922,-90.4856 +Belton,38.8191,-94.5334 +Old Mines,38.0153,-90.756 +Allendale,40.4853,-94.2887 +Hale,39.6051,-93.3433 +Rueter,36.6084,-92.8691 +Marquand,37.4287,-90.167 +Steele,36.0904,-89.846 +Higginsville,39.0665,-93.7268 +Brookfield,39.7853,-93.0772 +Poplar Bluff,36.7632,-90.4135 +Flint Hill,38.8637,-90.8685 +Bakersfield,36.5238,-92.1442 +Sheridan,40.5171,-94.6144 +Fristoe,38.1167,-93.2758 +Bronaugh,37.694,-94.4682 +Morley,37.0433,-89.6122 +Cape Girardeau,37.3108,-89.5596 +Weatherby,39.9093,-94.2419 +East Lynne,38.6683,-94.2303 +Benton,37.099,-89.5623 +Ludlow,39.6541,-93.7026 +Vigus,38.7356,-90.4648 +Springfield,37.1943,-93.2915 +Neelys Landing,37.5023,-89.502 +Vinita Park,38.6891,-90.34 +Boonville,38.9587,-92.7471 +Emerald Beach,36.5755,-93.6711 +Sedalia,38.7043,-93.2349 +Northwye,37.975,-91.7557 +Quick City,38.5811,-94.0288 +Washburn,36.5888,-93.9655 +Lewis and Clark Village,39.5375,-95.0506 +Trenton,40.0818,-93.603 +Amoret,38.2549,-94.5873 +Summersville,37.1786,-91.6577 +Jefferson City,38.5677,-92.1757 +Lakeside,38.2041,-92.6223 +Randolph,39.156,-94.4929 +Beverly Hills,38.6979,-90.29 +Kingston,39.6425,-94.0384 +Cross Timbers,38.0242,-93.2294 +Black Walnut,38.8734,-90.3712 +Vandiver,39.1623,-91.8468 +Elmira,39.5087,-94.1546 +Truesdale,38.8124,-91.122 +Glenwood,40.5243,-92.5765 +Galena,36.8054,-93.4709 +Maysville,39.8859,-94.3634 +Amsterdam,38.3493,-94.589 +Thornfield,36.7087,-92.6593 +Worthington,40.4092,-92.689 +Bagnell,38.2294,-92.6053 +Shelbina,39.693,-92.0396 +Halfway,37.6189,-93.2387 +Orrick,39.2133,-94.1254 +New London,39.5844,-91.3987 +Eolia,39.2388,-91.012 +Leasburg,38.0948,-91.2953 +Paris,39.4773,-92.0039 +West Sullivan,38.1923,-91.1917 +Agency,39.6699,-94.7587 +Clarksville,39.3693,-90.9049 +Stoutland,37.8136,-92.5142 +Eldridge,37.8298,-92.7491 +Squires,36.8514,-92.6249 +Table Rock,36.6048,-93.2988 +Taberville,38.0084,-93.9947 +Chilhowee,38.5889,-93.8557 +Pascola,36.2673,-89.8258 +Worth,40.4045,-94.4465 +Independence,39.0871,-94.3503 +Bates City,39.0047,-94.0659 +Freeman,38.6215,-94.5057 +Tecumseh,36.5867,-92.2865 +Mokane,38.6744,-91.8723 +Decaturville,37.9075,-92.6999 +Stoutsville,39.548,-91.8573 +Ritchey,36.944,-94.1858 +Four Seasons,38.1974,-92.7177 +Ridgely,39.4537,-94.6401 +Newtown,40.3762,-93.3336 +Granger,40.467,-91.9736 +Latour,38.6345,-94.1022 +New Court Village,40.1067,-91.8132 +Rombauer,36.8431,-90.2801 +Caruthersville,36.1814,-89.6664 +Coldwater,37.3034,-90.4098 +Olympian Village,38.1346,-90.4583 +Green Castle,40.2625,-92.878 +Marion,38.6909,-92.3663 +Cave,39.0214,-91.0483 +Saginaw,37.026,-94.4724 +King City,40.0505,-94.5251 +Willhoit,36.6834,-92.5068 +Boschertown,38.8334,-90.4701 +Lexington,39.1798,-93.8694 +Creve Coeur,38.6621,-90.443 +Hawk Point,38.9719,-91.1325 +Richards,37.9104,-94.5573 +Olean,38.4103,-92.53 +Warrensburg,38.7617,-93.7283 +Doolittle,37.9425,-91.8913 +Sweet Springs,38.965,-93.4152 +Gladstone,39.2133,-94.5592 +Bunker,37.4574,-91.212 +Rives,36.0945,-90.0115 +Oak Grove,39.0074,-94.1278 +Junction City,37.5733,-90.2907 +Saint Paul,38.8484,-90.7406 +Leeton,38.5833,-93.6953 +Gilliam,39.2327,-93.0041 +Farmington,37.7821,-90.4287 +Levasy,39.1363,-94.1307 +Armstrong,39.2692,-92.7042 +Dadeville,37.4792,-93.6739 +Sullivan,38.2127,-91.1637 +Gasconade,38.6702,-91.5599 +Washington,38.5515,-91.0151 +Sugar Creek,39.1421,-94.4019 +Rhineland,38.7204,-91.5176 +Peculiar,38.7306,-94.4736 +Vienna,38.1874,-91.9501 +Warrenton,38.8187,-91.1362 +Mackenzie,38.5809,-90.3164 +Livonia,40.492,-92.7005 +Camden,39.2001,-94.0196 +Darlington,40.1982,-94.3997 +Dalton,39.3976,-92.9921 +Anniston,36.8243,-89.3267 +Pevely,38.2871,-90.3995 +Saint Johns,38.7134,-90.3432 +Des Arc,37.2838,-90.6354 +Camden Point,39.4541,-94.7485 +Wyaconda,40.3921,-91.926 +Jackson,37.3794,-89.6525 +Dardenne Prairie,38.7558,-90.7313 +Sparta,37.002,-93.0846 +Belle,38.2848,-91.7217 +Knoxville,39.4461,-94.0169 +Arrow Rock,39.0699,-92.9471 +Clarkton,36.4521,-89.9681 +Hermann,38.6983,-91.4342 +Anderson,36.6533,-94.4441 +Foster,38.1664,-94.5079 +Gifford,40.0256,-92.6816 +Gibbs,40.099,-92.4166 +Sleeper,37.7606,-92.593 +Butler,38.2598,-94.3394 +Jenkins,36.7787,-93.686 +Huntleigh,38.6132,-90.409 +Clifton Hill,39.4387,-92.6642 +Morrison,38.6716,-91.6334 +Perryville,37.7255,-89.876 +Brownington,38.2453,-93.7226 +Rosati,38.027,-91.531 +Saint Clair,38.3479,-90.9934 +Rock Port,40.4109,-95.5332 +Bevier,39.7509,-92.5647 +Keysville,37.8753,-91.389 +Trimble,39.4763,-94.5612 +Aurora,36.9674,-93.7183 +Blackburn,39.1047,-93.4854 +Oregon,39.9861,-95.1433 +Lanagan,36.6061,-94.4517 +Cedar City,38.5973,-92.1796 +Ferrelview,39.3143,-94.6654 +Wasola,36.7857,-92.5685 +Fordland,37.1556,-92.9416 +Arrow Point,36.544,-93.6223 +Valles Mines,38.042,-90.4998 +Riverview Estates,38.7489,-94.5246 +McBaine,38.8831,-92.4549 +Orchard Farm,38.8787,-90.4462 +Conception,40.2411,-94.6805 +Ginger Blue,36.5899,-94.4596 +Cherokee Pass,37.4872,-90.296 +Auxvasse,39.0174,-91.8958 +Florida,39.4929,-91.7908 +Mill Spring,37.065,-90.6778 +Rich Fountain,38.3959,-91.8799 +Clifton City,38.7647,-93.0413 +Marlborough,38.5682,-90.3395 +Lilbourn,36.5908,-89.6132 +Des Peres,38.5973,-90.4482 +Harviell,36.6618,-90.4748 +Ionia,38.5037,-93.3236 +Huntsdale,38.9121,-92.4787 +Keytesville,39.4313,-92.9371 +Bellerive Acres,38.7114,-90.314 +Aullville,39.0173,-93.6778 +Edgar Springs,37.7026,-91.8661 +Metz,37.9965,-94.443 +Fisk,36.7826,-90.2077 +Santa Fe,39.3689,-91.8191 +Bella Villa,38.5436,-90.2854 +Gentryville,36.8639,-92.3607 +Rolla,37.9458,-91.7608 +Meta,38.3122,-92.1656 +Wilson City,36.9236,-89.223 +Mount Moriah,40.3292,-93.7971 +Dawn,39.6713,-93.6341 +Crystal Lake Park,38.6212,-90.4319 +Graham,40.201,-95.0403 +Ellisville,38.5895,-90.5883 +Rayville,39.3463,-94.0648 +Innsbrook,38.7631,-91.0552 +Silva,37.1762,-90.4637 +Altenburg,37.6304,-89.586 +Lenox,37.6531,-91.7613 +Williamsville,36.9738,-90.548 +Webster Groves,38.5866,-90.3544 +Millard,40.1075,-92.546 +Weldon Spring,38.7117,-90.6518 +Sedgewickville,37.5147,-89.9061 +Jonesburg,38.8546,-91.3027 +Frontenac,38.63,-90.4189 +Clyde,40.2655,-94.6693 +Americus,38.7803,-91.5641 +Lanton,36.5173,-91.8015 +Oakview,39.2086,-94.5704 +Harwood,37.9566,-94.154 +Riverside,39.1703,-94.6305 +Horton,37.9748,-94.3652 +Cedar Springs,37.8736,-93.8935 +Wentworth,36.9932,-94.0756 +Foristell,38.8158,-90.9622 +Bethel,39.8778,-92.0226 +Fagus,36.5114,-90.267 +Clarence,39.7432,-92.2602 +Bloomsdale,38.0147,-90.2213 +Lambert,37.0938,-89.5547 +La Due,38.3125,-93.8777 +Taos,38.5157,-92.0648 +Marble Hill,37.3032,-89.9807 +Iron Mountain Lake,37.6854,-90.6184 +Baring,40.2447,-92.2056 +Festus,38.2197,-90.4095 +Mill Grove,40.3092,-93.5936 +Elsberry,39.1682,-90.7879 +Mansfield,37.1102,-92.5803 +Fulton,38.8551,-91.951 +Broseley,36.6751,-90.2418 +McBride,37.8328,-89.8401 +Slater,39.2227,-93.065 +Louisburg,37.7564,-93.141 +Branson West,36.7031,-93.3778 +Berger,38.6718,-91.3391 +Moberly,39.4185,-92.4364 +Potosi,37.9337,-90.775 +Mount Leonard,39.1253,-93.3945 +Macks Creek,37.9667,-92.9666 +Center,39.5096,-91.5291 +Viburnum,37.7149,-91.1295 +Princeton,40.3966,-93.5884 +Ballard,38.3614,-94.1433 +Wellington,39.1383,-93.9861 +Maitland,40.2021,-95.078 +Harrisonville,38.653,-94.3467 +Bethany,40.2684,-94.0281 +Ethel,39.8933,-92.741 +Velda Village,38.694,-90.2934 +Fayetteville,38.8811,-93.7563 +Fairfax,40.3392,-95.392 +Osborn,39.7496,-94.3566 +Weatherby Lake,39.2365,-94.696 +Hanley Hills,38.6856,-90.325 +Green City,40.2639,-92.9563 +Fillmore,40.0254,-94.9731 +Conway,37.5057,-92.8312 +Niangua,37.3886,-92.8304 +Marshall,39.1145,-93.201 +Winston,39.8699,-94.1416 +Champ,38.7448,-90.4536 +Gunn City,38.6659,-94.164 +Saint Mary,37.8737,-89.9497 +Salem,37.6398,-91.5346 +Saint Joseph,39.7598,-94.821 +Waldron,39.2222,-94.7933 +Cleveland,38.6788,-94.598 +Campbell,36.493,-90.0762 +Eminence,37.1509,-91.3587 +Mercer,40.5107,-93.5299 +Palmyra,39.7985,-91.5272 +Maplewood,38.6121,-90.3241 +Fairdealing,36.6615,-90.6084 +Penermon,36.791,-89.8301 +Lake Annette,38.6544,-94.5081 +Strafford,37.2689,-93.1197 +Forest City,39.9829,-95.1883 +Bismarck,37.7674,-90.6224 +Lake Tapawingo,39.019,-94.3131 +Edwards,38.1367,-93.1696 +Miner,36.8973,-89.5353 +Weldon Spring Heights,38.7048,-90.6853 +Clarksburg,38.6611,-92.6661 +Imperial,38.3672,-90.3706 +Hazelwood,38.7932,-90.3901 +Ravanna,40.456,-93.462 +Warson Woods,38.6069,-90.3912 +Freistatt,37.0213,-93.8977 +Courtney,39.1556,-94.3936 +Rosendale,40.0408,-94.823 +Carterville,37.1466,-94.4388 +Saddlebrooke,36.8283,-93.1969 +Cosby,39.8638,-94.6799 +Foley,39.0458,-90.7414 +Saint Ann,38.7266,-90.3871 +Northmoor,39.1845,-94.6054 +Oak Hill,38.2059,-91.4207 +Iatan,39.4773,-94.9838 +Huntsville,39.4364,-92.544 +Brimson,40.145,-93.7386 +Nashville,37.3745,-94.4908 +Hunter,36.8867,-90.8483 +Kennett,36.2403,-90.0481 +Harrisburg,39.1396,-92.458 +Crystal Lakes,39.3606,-94.1875 +Fairview,36.8172,-94.0866 +Garden City,38.5629,-94.1959 +Lowry City,38.1401,-93.7275 +Labadie,38.5289,-90.8501 +South West City,36.5205,-94.6103 +Pleasant Hope,37.465,-93.2743 +El Dorado Springs,37.8694,-94.0196 +Park Hills,37.8211,-90.505 +Tipton,38.6549,-92.7803 +Alma,39.0964,-93.5478 +Readsville,38.8045,-91.7191 +Owensville,38.349,-91.4974 +Gordonville,37.3111,-89.6738 +Kansas City,39.1239,-94.5541 +Rogersville,37.1142,-93.0716 +Holliday,39.4936,-92.1312 +Hornersville,36.0404,-90.1158 +Woodson Terrace,38.7287,-90.3601 +Richwoods,38.1603,-90.8282 +Cardwell,36.0475,-90.2909 +Stover,38.4418,-92.9901 +Ashland,38.7929,-92.2478 +Garrison,36.8389,-93.0196 +Jamesport,39.9749,-93.8029 +Prairie Home,38.8136,-92.5906 +Blue Springs,39.0124,-94.2722 +Patterson,37.1884,-90.5507 +Archie,38.4826,-94.3502 +Houston,37.3212,-91.9611 +New Franklin,39.0175,-92.7406 +Senath,36.134,-90.1614 +Cliff Village,37.0251,-94.5172 +Miller,37.2148,-93.8406 +Big Lake,40.0735,-95.3518 +McGee,37.0745,-90.1957 +Parma,36.6117,-89.8189 +Sappington,38.526,-90.373 +Unionville,40.4757,-93.0044 +Gilman City,40.1311,-93.8739 +Wheatland,37.9426,-93.4027 +Spanish Lake,38.7885,-90.2078 +Amazonia,39.8889,-94.8926 +Frohna,37.6375,-89.6197 +Lucerne,40.464,-93.2911 +Portland,38.7109,-91.7177 +Howardville,36.5684,-89.5972 +Grant City,40.4858,-94.4135 +Nelson,38.9946,-93.0308 +Roanoke,39.317,-92.6888 +Albany,40.2479,-94.3335 +Mount Sterling,38.465,-91.6271 +Richland,37.861,-92.3993 +Sheldon,37.6582,-94.2958 +South Greenfield,37.3752,-93.8436 +Portage Des Sioux,38.9273,-90.3434 +Platte Woods,39.2288,-94.6522 +Russellville,38.5128,-92.4384 +Stanton,38.2745,-91.1057 +Webb City,37.1412,-94.4675 +Menfro,37.777,-89.7234 +Lake Ozark,38.2035,-92.6257 +Dutchtown,37.2509,-89.6558 +Robertson,38.7642,-90.3821 +Linn Creek,38.0457,-92.7049 +Lees Summit,38.9172,-94.3816 +Bourbon,38.1504,-91.2493 +Catron,36.6111,-89.7061 +Gorin,40.36,-92.0243 +Leeper,37.0751,-90.7079 +Glasgow Village,38.7579,-90.1982 +Rocheport,38.9785,-92.5633 +Milford,37.5864,-94.1584 +Newtonia,36.8792,-94.1836 +Ballwin,38.595,-90.5501 +Ewing,40.0088,-91.7147 +Lamine,38.9467,-92.8746 +Eunice,37.245,-91.7796 +Barnett,38.3775,-92.6747 +Leonard,39.8944,-92.182 +Boss,37.6431,-91.1893 +Pendleton,38.8263,-91.2322 +Kirkwood,38.5789,-90.4203 +Downing,40.4873,-92.3689 +Glen Echo Park,38.7009,-90.2963 +Berkeley,38.7441,-90.3362 +Bosworth,39.4699,-93.3357 +Dearborn,39.5247,-94.7741 +Crane,36.9027,-93.5716 +De Witt,39.3849,-93.2198 +Round Grove,37.2667,-93.9052 +Greenwood,38.8508,-94.3378 +Country Club Hills,38.7208,-90.2749 +Homestown,36.3318,-89.8242 +Gerster,37.9548,-93.5769 +Halltown,37.1947,-93.6292 +Pleasant Valley,39.2172,-94.481 +Blodgett,37.0049,-89.5263 +Blairstown,38.558,-93.9578 +West Alton,38.8664,-90.2084 +Drake,38.4684,-91.4646 +Birch Tree,36.9967,-91.4916 +Knob Lick,37.6753,-90.3673 +Alexandria,40.3598,-91.4595 +Charmwood,38.2811,-91.0967 +Mosby,39.3182,-94.3072 +Hallsville,39.1185,-92.2265 +Big Spring,38.802,-91.4837 +Pattonsburg,40.0715,-94.106 +Saint Martins,38.5943,-92.3312 +Chamois,38.6764,-91.77 +Fair Grove,37.3833,-93.1522 +Sunrise Beach,38.1674,-92.7793 +Silver Creek,37.0406,-94.4727 +East Leavenworth,39.3144,-94.8519 +Braymer,39.5905,-93.7961 +Reeds,37.1165,-94.1682 +Elmo,40.5189,-95.1168 +Velda Village Hills,38.692,-90.2876 +Quitman,40.373,-95.0765 +Knox City,40.1441,-92.0103 +Kinloch,38.7384,-90.3249 +Waynesville,37.8207,-92.2199 +Bloomfield,36.8877,-89.9309 +Jacksonville,39.5877,-92.473 +Sainte Genevieve,37.9747,-90.0481 +Jasper,37.3354,-94.3023 +Shrewsbury,38.5865,-90.3281 +Crestwood,38.5569,-90.3783 +Westwood,38.6434,-90.4333 +Houston Lake,39.1924,-94.6221 +Argyle,38.2954,-92.0256 +Davisville,37.8078,-91.1851 +Perry,39.43,-91.6665 +Raytown,38.9944,-94.4641 +Gerald,38.3992,-91.3305 +Bridgeton,38.7672,-90.4276 +Kidder,39.7822,-94.1023 +Gainesville,36.6063,-92.4245 +Holcomb,36.4022,-90.0249 +Fremont Hills,37.0646,-93.253 +Triplett,39.4984,-93.194 +Bois D'Arc,37.2564,-93.5077 +Breckenridge,39.7614,-93.8046 +Oran,37.0855,-89.6534 +Noel,36.5433,-94.4888 +Riverview,38.7443,-90.2108 +Hardin,39.2676,-93.8313 +Blythedale,40.4752,-93.928 +Crocker,37.948,-92.2676 +Chillicothe,39.7953,-93.5498 +Portageville,36.4295,-89.6994 +Eugene,38.3528,-92.4038 +Holden,38.7136,-93.9895 +Rocky Comfort,36.7465,-94.0905 +Clever,37.0325,-93.4738 +Benton City,39.1346,-91.7649 +Brentwood,38.6195,-90.3475 +Passaic,38.322,-94.3486 +Coney Island,36.593,-93.3972 +Carl Junction,37.1669,-94.5468 +Guilford,40.1686,-94.7357 +Troy,38.9708,-90.9715 +La Grange,40.047,-91.5023 +Horine,38.2673,-90.432 +Black,37.5314,-90.9332 +Roscoe,37.9774,-93.8138 +Edmundson,38.7351,-90.3656 +Drexel,38.5005,-94.6025 +Pocahontas,37.5013,-89.6399 +Coffey,40.1056,-94.0066 +Faucett,39.6,-94.7975 +Arcadia,37.5864,-90.6293 +Whiteside,39.1839,-91.0164 +Spokane,36.8632,-93.3057 +Crosstown,37.7464,-89.7279 +Umber View Heights,37.6234,-93.8036 +Baker,36.7733,-89.7615 +Morrisville,37.4766,-93.4293 +Neosho,36.844,-94.3756 +Vanzant,36.9698,-92.3029 +Morehouse,36.8463,-89.6909 +Mineral Point,37.9456,-90.7246 +Lock Springs,39.8489,-93.7763 +Lesterville,37.4539,-90.8435 +Vanduser,36.991,-89.6866 +White Oak,36.3303,-90.0279 +Purdin,39.951,-93.1663 +Seneca,36.8446,-94.6093 +Macon,39.7424,-92.4712 +Galt,40.1272,-93.388 +Grovespring,37.3998,-92.6096 +Madison,39.4735,-92.2117 +East Prairie,36.7789,-89.3842 +Duquesne,37.0711,-94.4573 +Grassy,37.2609,-90.1237 +University City,38.6657,-90.3315 +Overland,38.6967,-90.3689 +Essex,36.8118,-89.8627 +Chula,39.9219,-93.4777 +Sturgeon,39.2345,-92.2823 +Cainsville,40.4398,-93.7747 +West Line,38.6358,-94.587 +Smithville,39.392,-94.5751 +Wellston,38.6751,-90.2941 +Chain-O-Lakes,36.534,-93.7245 +Collins,37.891,-93.6215 +Lonedell,38.3081,-90.8276 +Malta Bend,39.1939,-93.3635 +Hughesville,38.8369,-93.2952 +Black Jack,38.7993,-90.264 +Montgomery City,38.9737,-91.5024 +Doniphan,36.6234,-90.8219 +Cobalt Village,37.5454,-90.2876 +Stewartsville,39.7551,-94.4987 +Roselle,37.5995,-90.526 +Carthage,37.1503,-94.3225 +Urbana,37.8436,-93.1676 +Elmer,39.9573,-92.6499 +Greenville,37.1284,-90.4472 +Cooter,36.0467,-89.8091 +Moscow Mills,38.9398,-90.9253 +Gobler,36.1562,-89.9593 +High Hill,38.8753,-91.3776 +Green Park,38.5244,-90.3365 +Vichy,38.1114,-91.7604 +McFall,40.1116,-94.2223 +Desloge,37.8751,-90.5192 +Thomasville,36.7912,-91.5342 +Holts Summit,38.6453,-92.1151 +Winona,37.0042,-91.327 +Raymondville,37.3398,-91.8365 +Hermitage,37.9445,-93.3262 +Drynob,37.6417,-92.4504 +Chaffee,37.1812,-89.6615 +Kahoka,40.4236,-91.7187 +Silex,39.1252,-91.0577 +Oakland,38.5769,-90.3849 +Billings,37.0626,-93.5539 +Ozark,37.0361,-93.2154 +Bernie,36.6717,-89.9707 +Mehlville,38.5019,-90.315 +Carytown,37.2616,-94.3344 +Frankclay,37.863,-90.6144 +Northview,37.2867,-92.9966 +Norwood,37.1072,-92.4189 +Maryville,40.3429,-94.8709 +Sundown,36.566,-92.638 +White Church,36.8503,-91.7863 +Green Ridge,38.6211,-93.4102 +Claycomo,39.1986,-94.4788 +Osceola,38.0458,-93.6984 +Burlington Junction,40.447,-95.0679 +Novinger,40.2341,-92.7066 +New Haven,38.6048,-91.2178 +New Hampton,40.2652,-94.1952 +Franklin,39.0112,-92.755 +Irondale,37.8356,-90.6718 +Adrian,38.396,-94.3498 +Walker,37.8989,-94.2306 +Akers,37.3762,-91.5538 +Duenweg,37.0842,-94.4119 +Stark City,36.8626,-94.1864 +Bogard,39.458,-93.5239 +Mattese,38.4856,-90.3487 +Golden,36.5266,-93.6637 +Maywood,39.9542,-91.6032 +Chadwick,36.9301,-93.0568 +Stockton,37.6971,-93.796 +Coal,38.3259,-93.6152 +Fredericktown,37.5643,-90.2987 +Memphis,40.4614,-92.1704 +Preston,37.941,-93.2127 +Henrietta,39.2371,-93.9386 +Marston,36.5177,-89.6062 +Brumley,38.088,-92.4845 +Parnell,40.4387,-94.6219 +Bardley,36.6942,-91.1218 +Bigelow,40.1098,-95.2893 +Greendale,38.6938,-90.3124 +Charity,37.5153,-93.0163 +Florence,38.5889,-92.9791 +Ava,36.9546,-92.6661 +Lancaster,40.5238,-92.5314 +Union Star,39.9794,-94.5987 +Diggins,37.1739,-92.8503 +Schell City,38.0192,-94.1167 +Tina,39.5379,-93.4414 +Arbyrd,36.0535,-90.2399 +Oakwood,39.2005,-94.5704 +Hurley,36.9305,-93.4996 +Dellwood,38.7563,-90.2766 +Unity Village,38.9525,-94.3996 +Prathersville,39.3153,-94.2738 +Maryland Heights,38.7188,-90.4749 +Belleview,37.6875,-90.7404 +Baldwin Park,38.7939,-94.2469 +Altamont,39.8886,-94.0866 +Lithium,37.833,-89.8851 +Hillsboro,38.233,-90.567 +Versailles,38.4333,-92.8453 +Manes,37.38,-92.3668 +Bendavis,37.2984,-92.2074 +Weston,39.403,-94.886 +Wardell,36.354,-89.817 +Linneus,39.8767,-93.1869 +Saint Charles,38.7958,-90.5159 +Piedmont,37.1491,-90.697 +Wright City,38.8341,-91.0399 +Appleton City,38.1906,-94.031 +River Bend,39.1841,-94.3941 +Avalon,39.6592,-93.4416 +Watson,40.4798,-95.6232 +Wellsville,39.0734,-91.5693 +Platte City,39.3583,-94.7675 +Wardsville,38.49,-92.1791 +Dennis Acres,37.0464,-94.5043 +Neelyville,36.5562,-90.5139 +Tracy,39.3799,-94.7921 +Hayward,36.3959,-89.6669 +Winigan,40.0469,-92.9017 +Elsey,36.8542,-93.5407 +Iron Mountain,37.6953,-90.6404 +Twin Oaks,38.5656,-90.501 +Three Creeks Village,38.571,-90.9967 +Advance,37.1038,-89.9119 +Shell Knob,36.6105,-93.6041 +Fort Bellefontaine,38.8362,-90.2421 +Grandin,36.8308,-90.8221 +Rosebud,38.385,-91.4024 +Powersville,40.5496,-93.3002 +Arnold,38.4294,-90.3725 +West Plains,36.7378,-91.868 +Vista,37.9891,-93.6637 +Osage Beach,38.1353,-92.648 +Kirksville,40.1986,-92.5753 +Cameron,39.7469,-94.2364 +Rensselaer,39.6692,-91.5387 +Braggadocio,36.1753,-89.8295 +Morgan,37.5103,-92.6766 +Thayer,36.5223,-91.5408 +La Russell,37.1402,-94.061 +O'Fallon,38.7851,-90.7176 +Cook Station,37.8128,-91.4379 +Dover,39.1941,-93.6895 +Wyatt,36.9373,-89.191 +Lake Lotawana,38.902,-94.2626 +Barnard,40.1754,-94.8232 +Pittsville,38.8506,-93.9902 +Brewer,37.7836,-89.918 +Alba,37.2371,-94.4176 +The Landing,39.5637,-91.661 +Cedar Hill Lakes,38.3299,-90.6582 +Cuba,38.0671,-91.4057 +Pierpont,38.8634,-92.3132 +Fleming,39.1956,-94.0523 +Pilot Knob,37.6237,-90.6455 +Turney,39.6377,-94.321 +Novelty,40.0124,-92.2073 +Bell City,37.0237,-89.8196 +Centerview,38.7452,-93.8453 +Dawson,37.257,-92.3079 +New Bloomfield,38.7168,-92.0915 +Weingarten,37.8894,-90.2172 +North Kansas City,39.1396,-94.5643 +Cottleville,38.7511,-90.6587 +Warsaw,38.247,-93.3709 +Sargeant,43.8057,-92.8006 +Welcome,43.6662,-94.6071 +Savage,44.7545,-93.3632 +Brewster,43.6973,-95.4645 +Rollins,47.2566,-91.8452 +Kensington,45.7783,-95.6971 +Dundee,43.8441,-95.4667 +Grand Portage,47.9638,-89.6848 +Ironton,46.4818,-93.9982 +Nielsville,47.5284,-96.8174 +Villard,45.7141,-95.2692 +Tofte,47.5738,-90.8363 +Isle,46.1398,-93.4597 +Bald Eagle,45.1019,-93.0138 +East Bethel,45.3557,-93.2038 +Becida,47.3541,-95.0811 +Maple Grove,45.1089,-93.4626 +Togo,47.8213,-93.156 +Fulda,43.8691,-95.6023 +Lake City,44.4453,-92.2796 +East Gull Lake,46.3948,-94.3548 +Freeborn,43.7659,-93.5645 +Payne,47.096,-92.5994 +Alden,43.6695,-93.5735 +Kellogg,44.3074,-91.9989 +Zemple,47.3207,-93.7859 +Scanlon,46.7066,-92.43 +Tonka Bay,44.9154,-93.5896 +Burr,44.7483,-96.3592 +Perham,46.5989,-95.5745 +Day,45.7091,-93.3794 +Easton,43.7661,-93.9 +Wanda,44.3148,-95.2131 +Holland,44.0897,-96.1945 +Montrose,45.0668,-93.9206 +Angus,48.0811,-96.7031 +Hancock,45.4977,-95.795 +Swanville,45.9168,-94.6383 +Littlefork,48.3964,-93.5578 +Soudan,47.813,-92.2356 +Rose Creek,43.6045,-92.8297 +Lyle,43.5057,-92.9412 +Cook,47.841,-92.6882 +Vesta,44.5066,-95.4139 +Elmdale,45.834,-94.4942 +Finlayson,46.2051,-92.9248 +Deephaven,44.9294,-93.5239 +Medford,44.1685,-93.2476 +Kimball,45.3144,-94.3008 +Calumet,47.3198,-93.2667 +Money Creek,43.8214,-91.6135 +Gonvick,47.7391,-95.5125 +Gheen,47.968,-92.8082 +Dennison,44.4088,-93.0303 +Oklee,47.839,-95.851 +Aldrich,46.3747,-94.9394 +Halstad,47.3511,-96.8247 +Lakeland Shores,44.9478,-92.7612 +Battle Lake,46.2845,-95.7192 +Sunrise,45.5469,-92.8549 +Conger,43.6153,-93.5282 +Gilman,45.7353,-93.9483 +Hinckley,46.0121,-92.9256 +Isabella,47.6171,-91.3549 +McIntosh,47.6369,-95.8864 +Wilton,47.5063,-94.9974 +Shevlin,47.5301,-95.2597 +Marietta,45.0105,-96.419 +Akeley,47.0006,-94.728 +Norshor Junction,47.3666,-91.6257 +New Germany,44.8861,-93.973 +Rice,45.7525,-94.2317 +Taconite,47.3315,-93.3758 +Nevis,46.9646,-94.8423 +Minnetonka,44.9332,-93.4617 +Kelliher,47.9438,-94.4446 +International Falls,48.5884,-93.4083 +Boyd,44.8512,-95.9008 +Walnut Grove,44.225,-95.4692 +Brooklyn Center,45.0681,-93.3162 +Hammond,44.2221,-92.3738 +Orr,48.06,-92.8245 +Darfur,44.0535,-94.8378 +Holmes City,45.8336,-95.5412 +Pine Center,46.2144,-93.9144 +Eden Valley,45.3262,-94.5454 +Swatara,46.8955,-93.6741 +Callaway,46.982,-95.912 +Sedan,45.5782,-95.2451 +Randall,46.0887,-94.5007 +Henderson,44.5278,-93.909 +Fridley,45.0841,-93.2595 +Rock Creek,45.7604,-92.9088 +Makinen,47.3572,-92.3677 +Minnetonka Beach,44.9394,-93.5891 +Hopkins,44.926,-93.4056 +Pine Springs,45.0368,-92.9543 +Pine Bend,47.4222,-95.5979 +Huntley,43.7316,-94.2375 +Santiago,45.5391,-93.82 +Eagle Lake,44.1616,-93.8847 +Petersburg,43.5302,-94.9189 +Dunnell,43.5605,-94.7752 +Silver Lake,44.9042,-94.1984 +Hackensack,46.9269,-94.5159 +Gowan,46.8641,-92.8471 +Red Wing,44.5816,-92.6036 +Margie,48.0952,-93.9399 +Quamba,45.9155,-93.1753 +Belview,44.6067,-95.3289 +McGrath,46.2421,-93.2751 +New Munich,45.6309,-94.7525 +Centerville,45.164,-93.054 +Saum,47.9747,-94.6769 +West Saint Paul,44.9018,-93.0858 +Wannaska,48.6583,-95.7347 +Wacouta,44.545,-92.4349 +White Bear Lake,45.0655,-93.0149 +Winthrop,44.5429,-94.3627 +Hermantown,46.8058,-92.2407 +Landfall,44.9506,-92.9769 +Kerrick,46.3386,-92.5843 +Hatfield,43.9546,-96.1905 +Little Canada,45.0244,-93.0863 +Paynesville,45.3785,-94.7217 +Correll,45.232,-96.1627 +Wood Lake,44.6513,-95.5358 +Manhattan Beach,46.737,-94.1396 +Le Sueur,44.4703,-93.9025 +Turtle River,47.5882,-94.7581 +Green Valley,44.5269,-95.7572 +Saint Martin,45.5028,-94.6677 +Le Center,44.3866,-93.7311 +Dexter,43.7196,-92.7019 +Plato,44.7723,-94.0393 +Biscay,44.8262,-94.2741 +Grove City,45.148,-94.6815 +Magnolia,43.6441,-96.0753 +Wyattville,43.9408,-91.7902 +Starbuck,45.6121,-95.5333 +Canton,43.5298,-91.9299 +Richmond,45.4556,-94.5155 +Clearwater,45.4102,-94.0445 +Willow River,46.3204,-92.835 +Fountain,43.7426,-92.1342 +Stacy,45.3836,-92.9935 +Center City,45.3942,-92.8141 +Alberta,45.5749,-96.0505 +Wales,47.2349,-91.7468 +Lastrup,46.0398,-94.0621 +Norwood Young America,44.7722,-93.9194 +Shorewood,44.9131,-93.5797 +Columbus,45.2685,-93.081 +Lilydale,44.9096,-93.1301 +Saint Hilaire,48.0135,-96.2137 +Buffalo,45.1794,-93.8644 +Ostrander,43.6137,-92.4263 +Lewisville,43.9241,-94.434 +Ellendale,43.8727,-93.2993 +Wykoff,43.7086,-92.2674 +Kingsdale,46.2383,-92.3116 +Swan River,47.0866,-93.1949 +Brownsville,43.6992,-91.2823 +Ponsford,46.97,-95.3839 +Clarks Grove,43.7618,-93.329 +Avoca,43.949,-95.6465 +Twin Lakes,43.5609,-93.4236 +Beaver Creek,43.6124,-96.3624 +Elbow Lake,45.9905,-95.9776 +Freedhem,46.0564,-94.2086 +Greenbush,48.701,-96.1835 +Glencoe,44.7698,-94.1513 +Pine River,46.7225,-94.3975 +Kennedy,48.6428,-96.9106 +Vermillion,44.6736,-92.9643 +Bricelyn,43.5607,-93.8131 +Coleraine,47.2638,-93.4524 +Halma,48.66,-96.5972 +Ronneby,45.6853,-93.8601 +Norcross,45.8687,-96.1964 +Greenleafton,43.5802,-92.2093 +Hill City,46.983,-93.5959 +Westbrook,44.0422,-95.4375 +Mound,44.9336,-93.6608 +Boy River,47.1669,-94.1234 +Prior Lake,44.7251,-93.4409 +Hallock,48.766,-96.9427 +Vernon Center,43.9626,-94.1666 +Greenfield,45.0997,-93.6884 +Edina,44.8914,-93.3602 +Butterfield,43.9586,-94.7939 +Brainerd,46.3553,-94.1982 +Crown,45.4447,-93.4602 +Byron,44.0379,-92.6411 +Redby,47.8717,-94.9184 +Owatonna,44.0914,-93.2304 +Roseville,45.0155,-93.1544 +Perley,47.1761,-96.8015 +Staples,46.369,-94.8018 +Nashwauk,47.3805,-93.1666 +Cannon Falls,44.5123,-92.9034 +Amboy,43.8879,-94.158 +Comfrey,44.1111,-94.9029 +Mahtomedi,45.0618,-92.966 +Winger,47.5376,-95.9864 +Utica,43.9772,-91.9494 +Maynard,44.9057,-95.4687 +Trimont,43.7611,-94.7162 +Northcote,48.8453,-97.0012 +Saint Cloud,45.5339,-94.1719 +Milaca,45.7573,-93.6522 +Whyte,47.4516,-91.5621 +Stevenson,47.4366,-93.058 +Pennock,45.1459,-95.175 +Cotton,47.1694,-92.4763 +Forbes,47.3716,-92.6041 +Alborn,46.973,-92.576 +Bruno,46.281,-92.668 +Hillman,46.0063,-93.8887 +Whalan,43.7341,-91.9238 +Effie,47.8412,-93.6377 +Wayzata,44.9707,-93.514 +Hayfield,43.8903,-92.8471 +Saginaw,46.8591,-92.4444 +Hartland,43.804,-93.4845 +Raymond,45.0184,-95.2367 +Vining,46.2612,-95.5342 +Cohasset,47.2389,-93.6396 +Wilmont,43.7651,-95.8279 +Prosit,46.998,-92.6177 +Eldred,47.6828,-96.7804 +Whipholt,47.0436,-94.386 +Heidelberg,44.4932,-93.6264 +White Earth,47.0977,-95.8445 +Winnebago,43.7642,-94.1705 +Edgerton,43.8753,-96.1304 +Jordan,44.6652,-93.6351 +Montevideo,44.9505,-95.7154 +Philbrook,46.2833,-94.717 +Glenville,43.5738,-93.2817 +Bovey,47.2961,-93.4036 +Greenview,47.6258,-96.5606 +Lakeland,44.9503,-92.77 +Mounds View,45.1071,-93.2078 +Barrett,45.9124,-95.8943 +Hanover,45.158,-93.6631 +Viking,48.2182,-96.4068 +Cormorant,46.7305,-96.0656 +Spring Hill,45.5233,-94.8317 +Two Harbors,47.03,-91.675 +Riverton,46.4584,-94.0489 +Aitkin,46.5303,-93.7051 +Hamel,45.0411,-93.5255 +Barnesville,46.6501,-96.4164 +Palisade,46.7126,-93.4889 +Dorothy,47.9277,-96.4467 +Bayport,45.0152,-92.7789 +Blackberry,47.1808,-93.3905 +Reads Landing,44.4022,-92.0791 +Lucan,44.41,-95.4135 +Oak Park,45.6977,-93.818 +Nicollet,44.2747,-94.1885 +Anoka,45.2099,-93.3893 +Carlos,45.9741,-95.2925 +Danube,44.791,-95.1029 +Belgrade,45.4507,-94.9998 +Jacobson,47.0008,-93.2674 +Clitherall,46.2744,-95.631 +Crookston,47.7747,-96.6062 +Fairmont,43.6441,-94.4621 +Sobieski,45.923,-94.482 +Elmore,43.5069,-94.0888 +Hibbing,47.3981,-92.9487 +Saint James,43.9832,-94.6249 +Mabel,43.5198,-91.768 +Janesville,44.1214,-93.7107 +Euclid,47.9719,-96.639 +Morton,44.5534,-94.985 +Northfield,44.455,-93.1698 +Wilson,43.96,-91.6846 +Circle Pines,45.1409,-93.1506 +Urbank,46.1245,-95.511 +Arlington,44.6085,-94.0764 +Wyoming,45.3365,-92.9766 +Saint Bonifacius,44.9054,-93.7476 +Strathcona,48.5537,-96.167 +Montgomery,44.4451,-93.5797 +Chanhassen,44.8544,-93.562 +Afton,44.9042,-92.8174 +Ceylon,43.5329,-94.6309 +Rochert,46.86,-95.6878 +Dresbach,43.8955,-91.3432 +Cromwell,46.6795,-92.873 +Waltham,43.8193,-92.8746 +Bluffton,46.4696,-95.2337 +Shaw,47.1133,-92.353 +Waverly,45.065,-93.9663 +Ashby,46.0931,-95.8154 +Oak Grove,45.3409,-93.3264 +Stanton,44.4719,-93.023 +Chokio,45.5731,-96.1746 +De Graff,45.2598,-95.4686 +Schroeder,47.5443,-90.8918 +Askov,46.1886,-92.7824 +Delhi,44.5979,-95.2134 +Monticello,45.298,-93.7982 +Brooks,47.8165,-96.0036 +North Oaks,45.1002,-93.0881 +Waskish,48.1614,-94.5125 +Fossum,47.2386,-96.1762 +Evan,44.3549,-94.8361 +Hamburg,44.7328,-93.9644 +Castle Danger,47.1208,-91.5032 +Lake Bronson,48.7322,-96.664 +Avon,45.6094,-94.4603 +Borup,47.1803,-96.5058 +Rutledge,46.257,-92.8696 +Nett Lake,48.1146,-93.0811 +Royalton,45.8303,-94.2931 +Dalbo,45.6589,-93.3988 +New York Mills,46.5211,-95.3725 +Rogers,45.1865,-93.5783 +Clontarf,45.3769,-95.6769 +Morrill,45.8389,-93.9697 +Birchwood,45.0611,-92.976 +Prinsburg,44.9349,-95.187 +Gluek,44.9852,-95.4734 +Saint Nicholas,45.3808,-94.4367 +Nassau,45.0677,-96.4417 +Tower,47.8101,-92.2832 +Sebeka,46.629,-95.0878 +Kasota,44.2916,-93.969 +Hoyt Lakes,47.56,-92.1159 +Buhl,47.4993,-92.7695 +Loman,48.5127,-93.8029 +Maple Bay,47.6358,-96.2251 +Pine City,45.8353,-92.9687 +Argyle,48.3365,-96.8162 +Rushford,43.8131,-91.7535 +Amiret,44.3166,-95.697 +Nimrod,46.6375,-94.8805 +Milan,45.1126,-95.9117 +Wawina,47.053,-93.1191 +Karlstad,48.578,-96.5169 +Gary,47.3725,-96.2656 +Bigfork,47.7473,-93.6525 +Rosewood,48.1894,-96.2903 +Ray,48.4108,-93.2104 +Watertown,44.96,-93.8435 +Browerville,46.0807,-94.8646 +Renville,44.7908,-95.2048 +Belle Plaine,44.6189,-93.7639 +Elkton,43.6602,-92.7065 +Waseca,44.0827,-93.5026 +Long Lake,44.9841,-93.5689 +Kettle River,46.4862,-92.8775 +Isanti,45.4928,-93.2415 +Theilman,44.2891,-92.1921 +Saint Rosa,45.7286,-94.7162 +Wrenshall,46.6217,-92.384 +Lake Crystal,44.1054,-94.2189 +Harmony,43.554,-92.0075 +Mora,45.8766,-93.2916 +Lakefield,43.6778,-95.1697 +Hayward,43.6499,-93.246 +Strandquist,48.4894,-96.4479 +Elizabeth,46.3798,-96.1309 +Melrude,47.2455,-92.4171 +Claremont,44.0449,-92.9976 +Holt,48.2929,-96.1945 +Keewatin,47.4006,-93.0828 +Terrebonne,47.8325,-96.1334 +Craigville,47.903,-93.613 +Sunburg,45.3476,-95.24 +Crane Lake,48.2666,-92.4885 +Martin Lake,45.3825,-93.0885 +Manchester,43.7256,-93.451 +Lake Shore,46.504,-94.3635 +Deer River,47.3409,-93.7961 +Brook Park,45.9484,-93.0728 +East Chain,43.5588,-94.3652 +Holloway,45.2441,-95.9112 +Bellechester,44.371,-92.5113 +Forest Lake,45.2536,-92.9583 +Brookston,46.8654,-92.6024 +Fairhaven,45.3232,-94.204 +Matawan,43.858,-93.6361 +Scandia,45.254,-92.8278 +Sherburn,43.6547,-94.7273 +Clementson,48.6908,-94.4363 +Floodwood,46.9169,-92.9191 +Rush City,45.6877,-92.9655 +Lake Elmo,44.9944,-92.9031 +New Ulm,44.312,-94.468 +Saint Marys Point,44.9128,-92.7702 +Taopi,43.5575,-92.6404 +Canby,44.7157,-96.269 +Flensburg,45.948,-94.5301 +Pine Point,46.9889,-95.3883 +Traverse,44.3486,-94.0175 +Cambridge,45.5612,-93.2282 +Clinton,45.4632,-96.4415 +Bock,45.7844,-93.5528 +Duquette,46.3697,-92.5533 +Beaulieu,47.3389,-95.8054 +Wabasso,44.4025,-95.2554 +Morris,45.5856,-95.9047 +Sauk Centre,45.7365,-94.9526 +Cuyuna,46.5117,-93.9256 +Taylors Falls,45.4121,-92.6644 +Ebro,47.4942,-95.5411 +Waite Park,45.5322,-94.2441 +Winsted,44.9574,-94.0498 +McKinley,47.5091,-92.4057 +Balaton,44.2331,-95.8707 +Doran,46.1852,-96.4858 +Sherack,48.0208,-96.7817 +Cusson,48.1019,-92.8429 +Spring Grove,43.5607,-91.6371 +Osakis,45.8649,-95.1524 +Red Lake Falls,47.8837,-96.2726 +New Richland,43.8938,-93.4939 +Grygla,48.2996,-95.6239 +Ericsburg,48.4877,-93.3313 +Ball Club,47.3311,-93.946 +Inger,47.558,-93.9794 +Medina,45.0326,-93.5834 +Rochester,44.0151,-92.4778 +Gilbert,47.4911,-92.4617 +Elk River,45.3314,-93.567 +Lake Itasca,47.2538,-95.2125 +Underwood,46.287,-95.8721 +Cold Spring,45.457,-94.4298 +Ranier,48.6066,-93.353 +Delavan,43.7677,-94.0174 +Witoka,43.9333,-91.6201 +Stewart,44.7236,-94.4868 +Lester Prairie,44.8827,-94.0371 +Four Town,48.2811,-95.3355 +Hoffman,45.8341,-95.787 +Frost,43.5846,-93.9248 +Millerville,46.0691,-95.557 +Kilkenny,44.3151,-93.5742 +Skime,48.5469,-95.6028 +Coates,44.716,-93.0323 +Taconite Harbor,47.5224,-90.9288 +Henriette,45.8712,-93.1197 +Dumont,45.7174,-96.4231 +Blackduck,47.7263,-94.548 +Svea,45.0033,-95.0214 +Lake Park,46.884,-96.0988 +Oakdale,44.9876,-92.9641 +Lincoln,46.2102,-94.6408 +Beroun,45.9102,-92.9552 +Vineland,46.1832,-93.7823 +Litchfield,45.1221,-94.5255 +Rosen,45.1536,-96.4014 +Little Falls,45.9836,-94.3599 +Shafer,45.3901,-92.753 +Rothsay,46.4735,-96.2845 +Ottawa,44.3822,-93.9458 +Two Inlets,47.0527,-95.2175 +Grove Lake,45.6141,-95.1575 +Etna,43.6022,-92.3468 +Brownton,44.7327,-94.3508 +Medicine Lake,44.998,-93.4195 +Burnett,46.9008,-92.5244 +Searles,44.2306,-94.4362 +Fertile,47.5339,-96.2893 +Hastings,44.7318,-92.8538 +Roseau,48.8446,-95.7625 +Gem Lake,45.0579,-93.0405 +Minneota,44.5624,-95.9825 +Detroit Lakes,46.806,-95.845 +Plummer,47.9151,-96.0416 +Wegdahl,44.89,-95.6453 +Rosemount,44.7465,-93.0662 +Miesville,44.599,-92.8196 +Columbia Heights,45.0484,-93.2472 +Collegeville,45.5944,-94.3631 +Elko New Market,44.5671,-93.3384 +Solway,47.521,-95.1303 +Ogilvie,45.829,-93.422 +Cass Lake,47.3788,-94.5991 +Fletcher,45.1725,-93.5413 +Fort Ripley,46.169,-94.363 +Peterson,43.7868,-91.8333 +Buckman,45.8973,-94.094 +Bergen,43.79,-94.9947 +Minnesota Lake,43.8408,-93.8279 +Slayton,43.9902,-95.7576 +Lawndale,46.5569,-96.3603 +Big Lake,45.3417,-93.7431 +Lino Lakes,45.1679,-93.083 +Denham,46.3617,-92.9415 +Windom,43.8736,-95.1201 +Farmington,44.6572,-93.1687 +Seaforth,44.4763,-95.331 +Lake Wilson,43.9953,-95.9533 +Shelly,47.4582,-96.8197 +Douglas,44.108,-92.5738 +Winona,44.0509,-91.6689 +Kimberly,46.5608,-93.4664 +Brushvale,46.3694,-96.6434 +Island View,48.5952,-93.1668 +Atwater,45.1356,-94.7769 +Westport,45.7146,-95.168 +Dilworth,46.8795,-96.6985 +Pleasant Lake,45.4977,-94.2867 +Eyota,43.9883,-92.2322 +Albert Lea,43.6546,-93.364 +Downer,46.7541,-96.487 +Madelia,44.0482,-94.4198 +Rushmore,43.6197,-95.799 +Silver Bay,47.294,-91.2779 +Buyck,48.1219,-92.5235 +Mankato,44.1712,-93.9773 +Goodridge,48.1442,-95.8039 +Naytahwaush,47.2703,-95.6335 +Norseland,44.4127,-94.1166 +Hills,43.5277,-96.3594 +Virginia,47.5172,-92.5121 +Jasper,43.8491,-96.3999 +Rockville,45.4649,-94.3222 +Revere,44.2215,-95.3611 +Grand Rapids,47.238,-93.5327 +Fosston,47.5857,-95.7585 +Comstock,46.6596,-96.7462 +Alpha,43.6382,-94.8711 +Caledonia,43.6344,-91.5009 +Elrosa,45.5628,-94.9473 +Oronoco,44.1599,-92.5398 +Fergus Falls,46.2854,-96.0759 +South Haven,45.2928,-94.2174 +Dellwood,45.0985,-92.9672 +Pigeon River,48.0102,-89.7084 +Little Rock,47.8667,-95.106 +Brimson,47.2766,-91.8671 +Lynd,44.3973,-95.8812 +Hokah,43.7598,-91.3501 +Robbin,48.5728,-97.1426 +Warroad,48.9169,-95.3272 +Twin Valley,47.2589,-96.2592 +Luce,46.6577,-95.6528 +Lafayette,44.4471,-94.3927 +Roosevelt,48.807,-95.101 +Emmons,43.5068,-93.4851 +Delft,43.9863,-95.0889 +Hilltop,45.0536,-93.2501 +Becker,45.3814,-93.8737 +Hillview,46.6802,-95.2578 +Lime Creek,43.8897,-95.562 +Myrtle,43.5632,-93.163 +Warman,46.0583,-93.2844 +Culver,46.9258,-92.5585 +Saint George,44.3894,-94.5325 +Beaver Bay,47.2561,-91.3061 +Kingston,45.1959,-94.311 +Coon Rapids,45.1755,-93.3094 +Eagle Bend,46.1643,-95.0341 +Weston,45.1889,-92.9847 +Garfield,45.9388,-95.4945 +Glenwood,45.6517,-95.3643 +Cottonwood,44.6105,-95.6722 +West Union,45.7977,-95.0897 +Saint Charles,43.9688,-92.06 +Robbinsdale,45.0261,-93.3332 +Bird Island,44.7648,-94.8949 +Worthington,43.6282,-95.5992 +Ellsworth,43.5204,-96.0184 +Garvin,44.2143,-95.7607 +Lewiston,43.9837,-91.868 +New London,45.2974,-94.9476 +Saint Vincent,48.9693,-97.2264 +Goodhue,44.4007,-92.6255 +Baudette,48.7119,-94.5925 +Burnsville,44.7648,-93.2795 +Barry,45.5582,-96.5604 +Bixby,43.9444,-93.0971 +Mapleview,43.6901,-92.974 +Cyrus,45.6147,-95.7381 +McGregor,46.6087,-93.306 +Morristown,44.2239,-93.4445 +Mountain Lake,43.9414,-94.9273 +Alvarado,48.193,-96.9984 +Kent,46.4377,-96.6835 +Arden Hills,45.0722,-93.1671 +Regal,45.4054,-94.8397 +Wilkinson,47.2508,-94.6278 +La Salle,44.0711,-94.5713 +Independence,45.0219,-93.7077 +Barrows,46.3011,-94.2539 +Nerstrand,44.3429,-93.0638 +Gaylord,44.5555,-94.2123 +Pennington,47.4836,-94.48 +Wahkon,46.1206,-93.5222 +Mahnomen,47.3146,-95.9673 +Alvwood,47.7305,-94.268 +Malmo,46.3338,-93.5194 +Deer Creek,46.3909,-95.3218 +Pinecreek,48.9783,-95.9428 +Spring Lake Park,45.1161,-93.2451 +Wolverton,46.563,-96.7363 +Granger,43.5022,-92.1388 +Fisher,47.7992,-96.7993 +Hanska,44.1488,-94.4945 +Backus,46.8207,-94.5148 +Grand Meadow,43.7058,-92.5705 +Homer,44.0084,-91.5601 +Vadnais Heights,45.057,-93.0747 +Sleepy Eye,44.299,-94.7244 +Golden Valley,44.9901,-93.3591 +Shoreview,45.0842,-93.1358 +Squaw Lake,47.6275,-94.1381 +Frazee,46.7282,-95.7026 +Millville,44.2447,-92.296 +Lexington,45.1381,-93.1714 +Tenstrike,47.6603,-94.6843 +Osseo,45.1179,-93.3992 +Crystal,45.0377,-93.3599 +Saint Augusta,45.4497,-94.1995 +Newport,44.8744,-92.9975 +Mentor,47.6966,-96.144 +New Prague,44.5459,-93.5758 +Verdi,44.2086,-96.3523 +Newfolden,48.3568,-96.3298 +Lockhart,47.44,-96.5512 +Braham,45.7223,-93.1717 +Clarissa,46.1284,-94.949 +Leonidas,47.4678,-92.5674 +Trosky,43.8884,-96.2509 +Tracy,44.2377,-95.6161 +Humboldt,48.9213,-97.0948 +Burchard,44.2561,-95.9903 +Apple Valley,44.7458,-93.2006 +Danvers,45.2815,-95.7559 +Swift,48.8533,-95.2213 +Andover,45.2571,-93.3265 +Stillwater,45.0573,-92.8313 +Wilno,44.4997,-96.2314 +Hazel Run,44.7484,-95.7165 +Jeffers,44.0559,-95.1954 +Otisco,43.9786,-93.5022 +Dalton,46.1739,-95.9156 +Glen,46.4186,-93.5152 +Little Sauk,45.8639,-94.9184 +Jackson,43.6288,-94.9886 +Grant,45.0825,-92.909 +Fox,48.8389,-95.8989 +Tenney,46.0444,-96.4534 +Wright,46.6725,-93.0069 +Wheaton,45.8059,-96.498 +Eagan,44.817,-93.1638 +Hendricks,44.5076,-96.4281 +Jenkins,46.6528,-94.3299 +Sawyer,46.6713,-92.6333 +Evansville,46.0062,-95.6867 +Appleton,45.1997,-96.0232 +Biwabik,47.555,-92.3232 +Britt,47.6402,-92.5255 +Saint Clair,44.0838,-93.86 +Rich Valley,44.7461,-93.0438 +Thief River Falls,48.1112,-96.1771 +Aurora,47.531,-92.2401 +Merrifield,46.4673,-94.1746 +Greenwald,45.6015,-94.8594 +Canyon,47.0399,-92.4707 +Murphy City,47.5096,-91.3246 +Lauderdale,44.9942,-93.2026 +Rollingstone,44.0993,-91.8187 +Indus,48.6252,-93.8377 +Remer,47.0569,-93.9126 +Finland,47.435,-91.2683 +Rockford,45.092,-93.7453 +North Redwood,44.5633,-95.0944 +Willmar,45.1226,-95.0561 +Johnson,45.5722,-96.294 +White Rock,44.4564,-92.7671 +North Mankato,44.1811,-94.038 +Minneapolis,44.9635,-93.2678 +Mizpah,47.9209,-94.2132 +Hawick,45.3477,-94.8272 +Babbitt,47.6445,-91.9459 +Loretto,45.0548,-93.6353 +Deerwood,46.4726,-93.9 +Hawley,46.877,-96.3178 +Hollandale,43.7598,-93.2043 +Cosmos,44.9354,-94.6949 +Cottage Grove,44.8161,-92.9274 +French River,46.898,-91.8971 +Woodland,44.9503,-93.5138 +Maplewood,44.984,-93.0247 +Carver,44.7597,-93.6298 +Donnelly,45.6895,-96.0143 +Ponemah,48.0348,-94.8983 +Florence,44.236,-96.0531 +Elysian,44.2067,-93.6765 +Northrop,43.7359,-94.4367 +Spring Valley,43.6888,-92.3897 +Holyoke,46.4674,-92.3885 +Iona,43.9149,-95.7857 +Esko,46.71,-92.3721 +Lake George,47.1881,-94.9801 +Stanchfield,45.6648,-93.1816 +Eden Prairie,44.8488,-93.4595 +Dovray,44.0545,-95.5477 +Middle River,48.4349,-96.1617 +Carlisle,46.3683,-96.1898 +Longville,46.9877,-94.212 +Mendota,44.8877,-93.1608 +Saint Francis,45.3991,-93.3902 +Kelsey,47.1538,-92.5994 +Foxhome,46.2769,-96.3122 +Funkley,47.7859,-94.4266 +Hadley,43.9987,-95.8576 +Bellaire,45.0697,-92.9947 +Stewartville,43.8603,-92.4896 +Frontenac,44.5061,-92.3511 +Silver Creek,45.3127,-93.9827 +Wadena,46.4452,-95.1281 +Rice Lake,46.8977,-92.1137 +Judson,44.1964,-94.1952 +Tobique,47.1155,-94.0397 +Lonsdale,44.4776,-93.422 +Kasson,44.0333,-92.7483 +Leader,46.5286,-94.655 +Minneiska,44.1969,-91.8744 +Bethel,45.4022,-93.2711 +Cobden,44.2825,-94.8466 +Melby,46.0638,-95.7359 +Eveleth,47.4637,-92.544 +Beardsley,45.5577,-96.7139 +Forada,45.7884,-95.3567 +Sabin,46.7813,-96.6542 +Hanley Falls,44.6919,-95.6194 +Erhard,46.4836,-96.0965 +Trail,47.7833,-95.6981 +Hendrum,47.2641,-96.8104 +Harris,45.5976,-92.9869 +Cedar,45.3197,-93.2861 +Stephen,48.4518,-96.8769 +Waterville,44.2236,-93.5747 +Leota,43.8291,-96.0231 +Inver Grove Heights,44.8247,-93.0596 +Grey Eagle,45.8243,-94.7492 +Kinney,47.5167,-92.7185 +Barden,44.7905,-93.4105 +Benson,45.315,-95.6072 +Nashua,46.0377,-96.3059 +Almelund,45.4913,-92.7855 +Adams,43.5654,-92.719 +Clear Lake,45.4464,-93.9985 +Princeton,45.569,-93.592 +New Hope,45.0375,-93.3869 +Maple Plain,45.0088,-93.6618 +Knife River,46.9494,-91.7791 +Dent,46.5527,-95.7187 +Waconia,44.8414,-93.7921 +Felton,47.0749,-96.5058 +Flom,47.1661,-96.1309 +Zumbro Falls,44.2849,-92.4265 +High Landing,48.0494,-95.8086 +Fairfax,44.5283,-94.7231 +Round Prairie,45.9044,-94.8856 +Elgin,44.1258,-92.2472 +Big Falls,48.1794,-93.8092 +Kenneth,43.7543,-96.0725 +Wilder,43.828,-95.2058 +Trommald,46.5057,-94.0155 +Marshall,44.4489,-95.7897 +Annandale,45.2598,-94.1205 +Saint Peter,44.3296,-93.9659 +Delano,45.038,-93.7923 +Saint Stephen,45.701,-94.2742 +Saint Joseph,45.5609,-94.3083 +Cleveland,44.3236,-93.835 +Campbell,46.0975,-96.4055 +Saint Michael,45.2014,-93.692 +Round Lake,43.5372,-95.4705 +Burtrum,45.8658,-94.6874 +Outing,46.8205,-93.948 +Ulen,47.0781,-96.2581 +Walters,43.6049,-93.6743 +Inguadona,46.9833,-94.1302 +Park Rapids,46.9171,-95.0598 +Elba,44.0864,-92.0181 +Ihlen,43.9122,-96.3709 +Forest City,45.2064,-94.4664 +Benedict,47.158,-94.6906 +Lake Henry,45.462,-94.7965 +Hovland,47.8388,-89.972 +North Branch,45.5137,-92.9601 +Waubun,47.184,-95.9401 +Long Prairie,45.9775,-94.8629 +South Saint Paul,44.8877,-93.0411 +Viola,44.0633,-92.2682 +Rosendale,45.0405,-94.7067 +Nowthen,45.3421,-93.4495 +Thomson,46.6636,-92.398 +Chandler,43.9306,-95.9512 +Hope,43.9619,-93.276 +Foley,45.6636,-93.9095 +Georgetown,47.0784,-96.7959 +Mayer,44.8868,-93.8902 +Le Roy,43.5133,-92.5078 +Warsaw,44.2574,-93.3774 +Zimmerman,45.4416,-93.5978 +Pipestone,43.9958,-96.3117 +Kinbrae,43.8265,-95.4823 +Excelsior,44.9014,-93.5665 +Faribault,44.2985,-93.2786 +Murdock,45.2232,-95.3933 +Ruthton,44.1776,-96.1035 +Garden City,44.0485,-94.1713 +Bechyn,44.6505,-95.0761 +Odessa,45.2622,-96.3335 +Bingham Lake,43.9096,-95.0461 +Blooming Prairie,43.8683,-93.0552 +Kelly Lake,47.4174,-93.0066 +Hardwick,43.7742,-96.1975 +Lanesboro,43.7181,-91.9719 +Mapleton,43.9263,-93.9544 +Sturgeon Lake,46.3868,-92.8236 +Hasty,45.3711,-93.973 +Lake Saint Croix Beach,44.9245,-92.7657 +Clearbrook,47.6962,-95.4287 +Freeport,45.6627,-94.6888 +Blomkest,44.9428,-95.0235 +The Lakes,44.136,-95.7083 +Dassel,45.083,-94.315 +Courtland,44.2701,-94.3464 +Lavinia,47.515,-94.8117 +Audubon,46.8629,-95.981 +Grand Marais,47.7586,-90.3443 +Garrison,46.2999,-93.826 +Dawson,44.9289,-96.0504 +Beltrami,47.5425,-96.527 +Houston,43.7606,-91.5709 +Hampton,44.6085,-93.0025 +Gully,47.7684,-95.6229 +Harding,46.1191,-94.0368 +Clarkfield,44.7908,-95.8078 +Oak Park Heights,45.0324,-92.8099 +Reno,43.6011,-91.2751 +Storden,44.0396,-95.3193 +Carlton,46.6635,-92.407 +Roy Lake,47.3176,-95.5428 +Mantorville,44.0656,-92.7537 +Walker,47.0891,-94.5854 +Holdingford,45.7298,-94.4717 +Lengby,47.5154,-95.6345 +Blue Earth,43.6404,-94.1004 +Gemmell,47.9733,-94.1238 +Randolph,44.526,-93.0198 +West Concord,44.1529,-92.8995 +Chatfield,43.8444,-92.1828 +Albany,45.6284,-94.5674 +Red Lake,47.8707,-95.0052 +Russell,44.3199,-95.9475 +Sheldon,43.6783,-91.5932 +Orleans,48.9261,-96.9367 +Oslo,48.1947,-97.1318 +Richville,46.5061,-95.6262 +Erskine,47.6648,-96.0124 +Hitterdal,46.9778,-96.2584 +Howard Lake,45.0605,-94.067 +Okabena,43.7392,-95.3165 +Saint Paul Park,44.836,-92.9949 +Tyler,44.2785,-96.1355 +Branch,45.4852,-92.9619 +Bloomington,44.8306,-93.3151 +Emily,46.7602,-93.9665 +Mahtowa,46.5616,-92.6279 +Porter,44.642,-96.1693 +Green Isle,44.6804,-94.0052 +Embarrass,47.6591,-92.1979 +Larsmont,46.9791,-91.7457 +Breezy Point,46.6054,-94.2147 +Foreston,45.7321,-93.7095 +Corcoran,45.1089,-93.5837 +Wanamingo,44.3026,-92.7872 +Barnum,46.5054,-92.6884 +Otsego,45.266,-93.6199 +Shakopee,44.7744,-93.4765 +Richwood,46.9747,-95.8228 +Leonard,47.6513,-95.2671 +Victoria,44.8634,-93.6586 +Northome,47.8748,-94.2675 +Angora,47.7749,-92.6341 +Chaska,44.8163,-93.6091 +Luverne,43.6533,-96.2146 +Greenwood,44.9109,-93.5515 +Farwell,45.7524,-95.6189 +Williams,48.768,-94.9533 +Bejou,47.4429,-95.9727 +Iron Junction,47.419,-92.6084 +Kenyon,44.2726,-92.9858 +Grandy,45.6352,-93.1952 +Warba,47.1367,-93.2657 +Lawler,46.5361,-93.1705 +Kragnes,46.9883,-96.7517 +Skyline,44.1406,-94.034 +Bellingham,45.1366,-96.2841 +Proctor,46.7416,-92.2276 +Clements,44.3801,-95.0548 +Plainview,44.1648,-92.1697 +Pierz,45.9772,-94.1008 +Kanaranzi,43.5758,-96.0945 +Lake Lillian,44.9458,-94.88 +Lansing,43.7476,-92.9657 +Little Marais,47.4107,-91.1102 +Duelm,45.5722,-93.9344 +Alexandria,45.8776,-95.3767 +Onamia,46.07,-93.6676 +Tamarack,46.653,-93.125 +Sheshebee,46.7047,-93.2424 +Wabasha,44.3707,-92.042 +Lowry,45.7049,-95.5191 +Wirt,47.7305,-93.9599 +Pine Island,44.1971,-92.6164 +Echo,44.6218,-95.4115 +Cologne,44.7695,-93.7931 +Long Beach,45.6509,-95.4294 +Troy,43.8708,-92.0679 +London,43.5261,-93.0627 +Big Bend City,45.143,-95.772 +Hay Creek,44.4919,-92.5438 +Dakota,43.9123,-91.3582 +Collis,45.6466,-96.4256 +Averill,46.9708,-96.5473 +Badger,48.7768,-96.0213 +Zim,47.3069,-92.6032 +Orono,44.9644,-93.5909 +Cedar Mills,44.9431,-94.5197 +Sandstone,46.1292,-92.8646 +Brandon,45.9663,-95.5944 +Federal Dam,47.2407,-94.219 +Breckenridge,46.2662,-96.585 +Melrose,45.6757,-94.8129 +Madison Lake,44.2044,-93.8161 +Angle Inlet,49.3465,-95.0732 +Rustad,46.7333,-96.7448 +Meadowlands,47.073,-92.7313 +Kerkhoven,45.1924,-95.3201 +Heron Lake,43.7981,-95.3197 +Tabor,48.0791,-96.8628 +Dodge Center,44.0288,-92.8507 +Mendota Heights,44.8815,-93.14 +Swift Falls,45.3989,-95.4239 +Upsala,45.8099,-94.5672 +Saint Louis Park,44.9488,-93.3649 +Ormsby,43.8503,-94.6986 +Cloquet,46.7221,-92.4923 +Roscoe,45.4324,-94.6366 +New Trier,44.604,-92.9328 +Chisholm,47.4877,-92.8787 +Odin,43.8672,-94.7427 +East Lake,46.5383,-93.2836 +Granite Falls,44.8107,-95.5372 +Schley,47.3688,-94.4161 +Pencer,48.6991,-95.6378 +Truman,43.8279,-94.4366 +Ottertail,46.4267,-95.5638 +Baker,46.7105,-96.5579 +Minnesota City,44.0923,-91.75 +Browns Valley,45.5947,-96.8327 +Vergas,46.6549,-95.8038 +White Bear Beach,45.0997,-92.9891 +Cloverton,46.168,-92.3196 +Graceton,48.7411,-94.8363 +Minnetrista,44.9354,-93.7089 +Brooten,45.5003,-95.1162 +Albertville,45.2364,-93.6618 +Genola,45.9656,-94.1127 +Altura,44.0642,-91.9435 +Baxter,46.3427,-94.2794 +Waldorf,43.9332,-93.6976 +Madison,45.0127,-96.1889 +Noyes,48.9975,-97.2045 +Lindstrom,45.387,-92.8477 +Hugo,45.1671,-92.9588 +Radium,48.2294,-96.6137 +Plymouth,45.0224,-93.4615 +Spring Lake,47.6424,-93.868 +Pillager,46.3295,-94.4796 +Wendell,46.0359,-96.1008 +Tintah,46.0108,-96.3201 +Blaine,45.1696,-93.2077 +Currie,44.0704,-95.6668 +Brownsdale,43.7401,-92.868 +Spring Park,44.9361,-93.6325 +Brooklyn Park,45.1112,-93.3505 +Meire Grove,45.6264,-94.8694 +Winton,47.9285,-91.8005 +Donaldson,48.5749,-96.899 +Guthrie,47.3002,-94.7911 +Gibbon,44.5353,-94.5236 +Soderville,45.288,-93.235 +Elmer,47.1036,-92.7771 +Miltona,46.0458,-95.2929 +Woodstock,44.011,-96.0967 +Wolf Lake,46.8066,-95.3526 +Kiester,43.5366,-93.7111 +Ely,47.9054,-91.851 +Henning,46.3233,-95.4424 +Dundas,44.4276,-93.2039 +Ada,47.2992,-96.5165 +Marine on Saint Croix,45.1983,-92.7783 +Warren,48.194,-96.7688 +Racine,43.7755,-92.481 +Richfield,44.8762,-93.2833 +Manitou,48.6283,-93.993 +Blue Grass,46.5427,-95.01 +Pease,45.6995,-93.649 +Pinewood,47.5972,-95.1278 +Dayton,45.1906,-93.4758 +Good Thunder,44.0067,-94.0703 +Sunfish Lake,44.8722,-93.0943 +Ogema,47.1016,-95.9225 +Ramsey,45.2617,-93.4494 +Buffalo Lake,44.737,-94.6174 +Willernie,45.054,-92.9572 +Forest Center,47.7949,-91.3076 +Verndale,46.3971,-95.0112 +Pelican Rapids,46.57,-96.0859 +Arco,44.3814,-96.1812 +Herman,45.8105,-96.1414 +Klossner,44.3658,-94.4258 +Hines,47.6861,-94.6328 +Kandiyohi,45.1321,-94.9322 +Steen,43.5143,-96.2631 +North Saint Paul,45.0137,-92.9995 +Hutchinson,44.8854,-94.3773 +Menahga,46.7471,-95.1012 +La Crescent,43.83,-91.3042 +Bemidji,47.483,-94.8788 +Markville,46.0919,-92.3307 +Fifty Lakes,46.7618,-94.0899 +Ortonville,45.3017,-96.4415 +Franklin,44.5312,-94.8852 +Adrian,43.6332,-95.9333 +Lismore,43.7488,-95.9481 +Chisago City,45.3473,-92.9117 +Spicer,45.2329,-94.9401 +Highland,43.6808,-91.8702 +Austin,43.6722,-92.9761 +Watson,45.0099,-95.8 +Crow River,45.2439,-94.7244 +Osage,46.9283,-95.2586 +Louisburg,45.1645,-96.1711 +Sanborn,44.2098,-95.1297 +Stockton,44.0272,-91.7695 +Lake Benton,44.2644,-96.2918 +Glyndon,46.8714,-96.5798 +Preston,43.6726,-92.0828 +Lamoille,44.0022,-91.4724 +Rose City,46.0775,-95.1667 +Goodview,44.0694,-91.7168 +Pemberton,44.0085,-93.7838 +Marble,47.328,-93.294 +Crosby,46.4893,-93.9574 +Lakeville,44.6776,-93.2521 +Bigelow,43.5054,-95.689 +Cushing,46.1397,-94.577 +Pelland,48.5227,-93.5752 +Lancaster,48.8577,-96.8019 +Lamberton,44.2306,-95.2675 +Hubbard,46.8366,-95.0103 +Ward Springs,45.7919,-94.805 +Granada,43.6931,-94.3494 +Sauk Rapids,45.598,-94.154 +Nisswa,46.5003,-94.2977 +Cross Lake,46.6755,-94.0955 +Manannah,45.2536,-94.6175 +Lutsen,47.6715,-90.6885 +Hector,44.7413,-94.712 +Maple Lake,45.2334,-94.0059 +Zumbrota,44.295,-92.6734 +Falcon Heights,44.9899,-93.177 +Parkers Prairie,46.153,-95.3296 +Mountain Iron,47.5477,-92.6254 +Darwin,45.0968,-94.4136 +Champlin,45.1702,-93.3903 +Springfield,44.2373,-94.9814 +Hewitt,46.324,-95.0903 +Bena,47.3404,-94.206 +Reading,43.7036,-95.7131 +Geneva,43.8227,-93.2683 +Woodbury,44.9057,-92.923 +Rushford Village,43.8033,-91.7915 +Mazeppa,44.2737,-92.5402 +Max,47.6147,-94.068 +Sartell,45.6188,-94.2206 +Bowlus,45.8191,-94.4072 +Wells,43.7432,-93.7278 +Duluth,46.7757,-92.1392 +Olivia,44.7771,-94.9976 +Ivanhoe,44.4651,-96.252 +Hassman,46.6019,-93.613 +Saint Paul,44.9477,-93.104 +Ghent,44.5117,-95.8924 +East Grand Forks,47.9284,-97.0138 +Ross,48.9061,-95.9203 +Saint Anthony,45.0278,-93.2174 +Laporte,47.2147,-94.7573 +Bagley,47.5239,-95.4041 +Wrightstown,46.2739,-95.1861 +Saint Leo,44.7173,-96.0526 +Clara City,44.9583,-95.3672 +Grasston,45.7957,-93.1524 +Fernando,44.6516,-94.4578 +Arnold,46.8802,-92.0905 +Milroy,44.4176,-95.5536 +Marcell,47.593,-93.6908 +Oylen,46.5747,-94.7986 +Pengilly,47.3327,-93.1971 +Morgan,44.4157,-94.9247 +Grand Falls,48.1986,-93.7927 +Sacred Heart,44.7817,-95.3507 +New Auburn,44.6728,-94.232 +Weaver,44.215,-91.9288 +Blakeley,44.6108,-93.8533 +Page,45.8875,-93.6636 +Simpson,43.9239,-92.4099 +Dover,43.9698,-92.1338 +Salol,48.8661,-95.5708 +Shooks,47.8741,-94.4383 +Moose Lake,46.4445,-92.7635 +Taunton,44.5942,-96.063 +Redwood Falls,44.5471,-95.1031 +Climax,47.6095,-96.8122 +La Prairie,47.2302,-93.4912 +Nelson,45.8865,-95.2648 +New Brighton,45.0658,-93.2061 +Motley,46.3349,-94.6423 +Bertha,46.2667,-95.062 +Watkins,45.3153,-94.4121 +Graceville,45.5686,-96.4372 +Cokato,45.0771,-94.1879 +Moorhead,46.8674,-96.746 +Empire,44.6591,-93.0147 +Oakland,43.6739,-93.0888 +Chickamaw Beach,46.7452,-94.3844 +Ham Lake,45.2545,-93.2039 +Pequot Lakes,46.5875,-94.2983 +Eitzen,43.508,-91.4636 +Brethren,44.2989,-86.0185 +White Pine,46.7402,-89.5812 +Westphalia,42.9303,-84.798 +Holt,42.6416,-84.5307 +Frontier,41.7817,-84.6047 +Bay Shore,45.3609,-85.1117 +Cutlerville,42.8406,-85.6739 +Zilwaukee,43.4809,-83.9223 +Eckerman,46.3653,-85.0354 +Dundee,41.9643,-83.6636 +Wayland,42.6725,-85.6408 +Ironton,45.2565,-85.1927 +Wayne,42.2774,-83.3877 +Republic,46.3956,-87.9819 +Kaleva,44.3723,-86.0135 +Marcellus,42.0262,-85.8122 +Millington,43.2784,-83.5273 +Bessemer,46.4775,-90.0498 +Grand Haven,43.0553,-86.2201 +Falmouth,44.2433,-85.087 +Lake City,44.3297,-85.2085 +Fremont,43.4633,-85.9533 +Alpena,45.074,-83.4399 +Alden,44.8792,-85.2729 +Lapeer,43.0448,-83.3255 +Pinckney,42.4543,-83.9457 +Kingsley,44.5845,-85.5347 +Atlanta,45.0017,-84.1536 +Pelkie,46.8133,-88.6365 +Williamston,42.6834,-84.2836 +Beecher,43.0903,-83.7039 +Holland,42.7677,-86.0984 +Topinabee,45.4839,-84.5953 +Montrose,43.1765,-83.8932 +Rhodes,43.9017,-84.1761 +Hancock,47.1355,-88.5987 +Lake Leelanau,44.9806,-85.7157 +Fowler,43.0041,-84.7411 +Jonesville,41.9785,-84.6656 +Galesburg,42.2911,-85.4182 +Central Lake,45.0693,-85.2618 +Free Soil,44.1071,-86.2109 +Charlotte,42.5662,-84.8304 +Bentley,43.9481,-84.1344 +Paw Paw,42.2147,-85.8917 +Roosevelt Park,43.1981,-86.2733 +Germfask,46.2494,-85.926 +Hudsonville,42.8631,-85.8628 +Lakeview,43.4434,-85.2738 +Steuben,46.1883,-86.4568 +Marine City,42.7138,-82.5012 +Hazel Park,42.4619,-83.0977 +Lennon,42.9855,-83.9325 +Frankenmuth,43.3321,-83.7396 +Chase,43.8892,-85.6356 +Novi,42.4786,-83.4893 +Pleasant Ridge,42.4715,-83.1443 +Willow,42.1153,-83.3955 +Shoreham,42.0605,-86.5115 +Ewen,46.5352,-89.2813 +Sand Lake,43.29,-85.5192 +Ludington,43.9573,-86.4434 +Durand,42.9127,-83.9891 +Burlington,42.1046,-85.0785 +Cohoctah,42.7598,-83.9486 +Dimondale,42.6485,-84.6475 +Grosse Pointe Shores,42.4367,-82.8769 +Norway,45.8019,-87.9132 +South Haven,42.4011,-86.2676 +Onsted,42.0061,-84.1894 +Champion,46.5138,-87.9635 +Forest Hills,42.9577,-85.4895 +Saint James,45.7474,-85.5173 +Rockland,46.738,-89.1796 +Hamilton,42.6772,-86.0061 +Hooper,42.5103,-85.5628 +Kalkaska,44.7322,-85.1782 +Houghton,47.1123,-88.5679 +Mancelona,44.9024,-85.0613 +Hopkins,42.6251,-85.7633 +Dowagiac,41.9834,-86.1126 +Kawkawlin,43.652,-83.943 +Wetmore,46.3797,-86.6204 +Brown City,43.2115,-82.9881 +West Ishpeming,46.4884,-87.7171 +Nessen City,44.5202,-85.8729 +Delton,42.4954,-85.4103 +Marlette,43.3268,-83.0807 +Gwinn,46.2912,-87.4372 +Tekonsha,42.0958,-84.9881 +Lyons,42.9834,-84.9456 +Woodbury,42.7611,-85.0744 +Clare,43.826,-84.7635 +Baie de Wasai,46.4614,-84.2448 +Woodland Beach,41.9418,-83.3141 +Bach,43.6831,-83.3558 +Houghton Lake,44.3124,-84.7625 +Filer City,44.2149,-86.2889 +Marquette,46.544,-87.4082 +Quinnesec,45.803,-87.9958 +Almont,42.9208,-83.0435 +Baldwin,43.8971,-85.8531 +Gardendale,43.0386,-82.4924 +Hickory Corners,42.4363,-85.3793 +Dexter,42.3318,-83.8799 +Watersmeet,46.2872,-89.1937 +Quincy,41.9432,-84.8844 +Bergland,46.5924,-89.5732 +Harvey,46.4882,-87.3511 +Mount Pleasant,43.5966,-84.7759 +Michigamme,46.5334,-88.0627 +Holton,43.4133,-86.0795 +Gladwin,43.9836,-84.4877 +Milleville Beach,42.0495,-83.1869 +South Gull Lake,42.3901,-85.4008 +Fountain,44.0484,-86.181 +Boon,44.288,-85.5975 +Richland,42.3762,-85.4553 +New Lothrop,43.1168,-83.9693 +Centreville,41.9213,-85.5259 +Northville,42.4355,-83.489 +Clawson,42.5367,-83.1504 +Lake Odessa,42.7824,-85.1374 +Rochester,42.6866,-83.1197 +Buena Vista,43.4193,-83.8993 +Mio,44.6605,-84.1418 +Coloma,42.1864,-86.3083 +Boyne Falls,45.1678,-84.9131 +Cadillac,44.2495,-85.4139 +Alabaster,44.1864,-83.558 +Vanderbilt,45.1436,-84.6639 +Trout Creek,46.4822,-89.0118 +Deckerville,43.5265,-82.742 +Vernon,42.9392,-84.0329 +East Grand Rapids,42.9464,-85.6088 +Akron,43.5667,-83.5143 +Chesaning,43.1851,-84.12 +Memphis,42.8956,-82.7689 +Sandusky,43.4212,-82.8333 +South Lyon,42.4614,-83.6526 +Brighton,42.5298,-83.7848 +Ponshewaing,45.4208,-84.806 +Spring Arbor,42.2055,-84.5551 +Birch Run,43.2503,-83.7911 +Ubly,43.7083,-82.9354 +Oakley,43.1435,-84.1686 +Gagetown,43.6572,-83.2449 +Weidman,43.7014,-84.9745 +Big Rapids,43.6992,-85.4803 +Laingsburg,42.8906,-84.35 +Sebewaing,43.7321,-83.4512 +Albion,42.2478,-84.7572 +Anchorville,42.6911,-82.6885 +Calumet,47.2477,-88.4536 +Lambertville,41.7502,-83.625 +Orchard Lake,42.5831,-83.3594 +Fraser,42.5388,-82.9496 +Byron,42.8239,-83.9467 +Kent City,43.2203,-85.7539 +Bath,42.8203,-84.4546 +Alanson,45.4425,-84.7871 +Roseville,42.5074,-82.9369 +Birmingham,42.5447,-83.2166 +Ontonagon,46.8665,-89.3122 +New Era,43.5595,-86.3477 +Brevort,46.0189,-85.0417 +Homer,42.1461,-84.8103 +Denton,42.2578,-83.5241 +Grosse Pointe,42.3915,-82.9118 +Kingsford,45.8061,-88.0994 +Forestville,43.66,-82.6125 +Munger,43.522,-83.7733 +Luther,44.0386,-85.6827 +Oden,45.4251,-84.8257 +Hillman,45.0647,-83.8975 +Whittemore,44.2337,-83.8033 +Utica,42.629,-83.0218 +Huntington Woods,42.4816,-83.1685 +Cassopolis,41.9116,-86.0085 +Bay City,43.5903,-83.8886 +Coleman,43.7588,-84.587 +Spring Lake,43.0733,-86.1944 +Pilgrim,44.6646,-86.2498 +Eagle,42.8098,-84.7909 +Barton Hills,42.3166,-83.7561 +Manton,44.4115,-85.401 +Roulo,42.19,-83.4833 +Norton Shores,43.1621,-86.2519 +Kentwood,42.8852,-85.5925 +Shields,43.4174,-84.0731 +Clayton,41.8649,-84.2347 +Hartford,42.2047,-86.1661 +Sidnaw,46.5047,-88.7085 +Three Rivers,41.9466,-85.628 +Hanover,42.1001,-84.5542 +K I Sawyer,46.3298,-87.3673 +Melvindale,42.2802,-83.1782 +Felch,45.9972,-87.8257 +Au Sable,44.4105,-83.3423 +Bark River,45.7102,-87.3049 +Pointe Aux Pins,45.7325,-84.4778 +Plainwell,42.4457,-85.6435 +Oakville,42.0814,-83.5808 +Mount Morris,43.1176,-83.6986 +Howell,42.6078,-83.9339 +Martin,42.537,-85.6389 +New Baltimore,42.6903,-82.7398 +Oak Park,42.4649,-83.1824 +Powers,45.688,-87.5265 +Le Roy,44.0381,-85.4538 +Scottville,43.9515,-86.2796 +Harbor Beach,43.8456,-82.6555 +Croswell,43.2736,-82.6177 +Pinconning,43.8573,-83.9638 +Port Austin,44.0431,-82.9945 +White Pigeon,41.7977,-85.6485 +Leslie,42.4506,-84.4332 +Evart,43.9002,-85.2748 +Swartz Creek,42.9626,-83.826 +Skidway Lake,44.1919,-84.0467 +Monroe,41.9154,-83.3849 +Munising,46.4172,-86.6439 +Stony Point,41.9448,-83.273 +Ishpeming,46.4862,-87.6658 +Wyoming,42.8909,-85.7066 +Zeba,46.7928,-88.4133 +Au Train,46.4302,-86.8368 +Oakley Park,42.5689,-83.4966 +Montgomery,41.7775,-84.8064 +Union Lake,42.6148,-83.4469 +Covington,46.5413,-88.5371 +Allegan,42.5299,-85.8462 +Dixboro,42.3123,-83.6561 +Addison,41.9862,-84.3491 +Walhalla,43.9536,-86.1148 +Stanton,43.2928,-85.0789 +Chilson,42.527,-83.8616 +Saugatuck,42.6611,-86.2055 +Escanaba,45.7477,-87.09 +Maple City,44.8556,-85.8573 +Ingalls,45.3769,-87.6112 +Montague,43.4128,-86.3636 +Foster City,45.9633,-87.744 +Rochester Hills,42.6645,-83.1563 +Peshawbestown,45.0242,-85.6009 +Fair Plain,42.0825,-86.452 +Vandalia,41.9189,-85.9143 +Brutus,45.4942,-84.7818 +Bloomfield Hills,42.578,-83.2457 +Wolverine Lake,42.555,-83.4883 +Harrietta,44.3091,-85.7007 +Ashley,43.1873,-84.4762 +Eastpointe,42.4657,-82.9461 +Muskegon,43.2281,-86.2562 +New Hudson,42.5109,-83.6155 +De Tour Village,45.9891,-83.9146 +Augusta,42.3379,-85.3525 +Oxford,42.8217,-83.2563 +North Muskegon,43.2518,-86.2714 +Harbor Springs,45.4324,-84.989 +Thompsonville,44.5205,-85.9388 +Tower,45.3553,-84.3006 +East Lansing,42.748,-84.4835 +Edgemont Park,42.7468,-84.5926 +Bear Lake,44.4199,-86.1453 +Waverly,42.7401,-84.6353 +Metamora,42.9422,-83.2897 +Bancroft,42.8767,-84.0659 +Bingham Farms,42.5176,-83.278 +Morenci,41.7226,-84.2169 +Columbiaville,43.1567,-83.4069 +Rexton,46.1586,-85.2401 +Armada,42.8424,-82.8832 +Pearl Beach,42.626,-82.5943 +Grand Marais,46.6708,-85.9852 +Gobles,42.3617,-85.8774 +Elkton,43.8183,-83.1809 +Paw Paw Lake,42.2113,-86.2759 +Frankfort,44.6361,-86.2332 +Byron Center,42.8121,-85.7279 +Bertrand,41.7745,-86.2622 +Marenisco,46.3737,-89.712 +Wolverine,45.2732,-84.6052 +North Manitou,45.1203,-85.9793 +Petersburg,41.8993,-83.7136 +Hesperia,43.5691,-86.0407 +Jamestown,42.8256,-85.8425 +Reading,41.8396,-84.7478 +Lum,43.0995,-83.1511 +Shepherd,43.5235,-84.6927 +Michigan Center,42.2268,-84.323 +Millersburg,45.3344,-84.0601 +Blissfield,41.8311,-83.8634 +Westland,42.3192,-83.3805 +Brownlee Park,42.3255,-85.1356 +Northport,45.1301,-85.6173 +Romeo,42.8049,-83.0041 +Saint Helen,44.3579,-84.4134 +Vulcan,45.7805,-87.8626 +Avoca,43.062,-82.691 +Manchester,42.1484,-84.0347 +Edmore,43.4073,-85.0367 +Chatham,46.3441,-86.9313 +Napoleon,42.1658,-84.2416 +Bloomingdale,42.3833,-85.959 +Highland Park,42.4052,-83.0977 +Commerce,42.5911,-83.4908 +Lakewood Club,43.3761,-86.2563 +Burr Oak,41.8472,-85.3212 +Woodland Park,43.7147,-85.8614 +Moran,45.9942,-84.8309 +Elberta,44.6209,-86.231 +Mecosta,43.621,-85.2304 +Pierson,43.3196,-85.4975 +Canada Creek Ranch,45.1751,-84.2074 +Fenton,42.7994,-83.7144 +Newaygo,43.4163,-85.8032 +Crystal Falls,46.0967,-88.3264 +Carleton,42.0572,-83.3898 +Belding,43.0968,-85.2331 +Clinton,42.0699,-83.9687 +South Boardman,44.6401,-85.2866 +Saint Clair Shores,42.4921,-82.8957 +Mattawan,42.2165,-85.7858 +Yale,43.1277,-82.7973 +Middleton,43.1834,-84.7089 +Copemish,44.4804,-85.9242 +Caseville,43.9416,-83.2739 +Morrice,42.8362,-84.1833 +Barryton,43.7505,-85.1436 +Parchment,42.3277,-85.5667 +Reese,43.4527,-83.6894 +Sanford,43.6777,-84.3803 +Grind Stone City,44.0503,-82.9008 +Harbert,41.872,-86.6289 +Black River,44.8172,-83.3033 +Hubbell,47.177,-88.436 +Flushing,43.0637,-83.8403 +Jackson,42.2431,-84.4038 +Minden City,43.6715,-82.7768 +Indian River,45.4236,-84.6236 +Waltz,42.1003,-83.3922 +Deerfield,41.8901,-83.7789 +Posen,45.2623,-83.6989 +Palmer,46.4436,-87.5817 +Comstock Park,43.0438,-85.6779 +Rogers City,45.415,-83.8181 +Jennings,44.3325,-85.2969 +Standish,43.9794,-83.9637 +Parkdale,44.272,-86.2805 +Hamtramck,42.3954,-83.056 +Pickford,46.1578,-84.3636 +Lincoln,44.6842,-83.4133 +Owendale,43.7273,-83.2671 +Loomis,43.7882,-84.6659 +Algonac,42.6208,-82.534 +Walled Lake,42.538,-83.4786 +Grand Junction,42.4042,-86.0731 +Marne,43.0361,-85.8278 +Paint Creek,42.1575,-83.5816 +Sister Lakes,42.0723,-86.1997 +River Rouge,42.2731,-83.1246 +Gaines,42.8725,-83.9108 +Lawton,42.1678,-85.846 +Flat Rock,42.0991,-83.2716 +Michiana,41.7637,-86.8112 +Daggett,45.462,-87.6047 +Carney,45.5935,-87.5547 +Owosso,42.9954,-84.1759 +Essexville,43.6123,-83.8424 +Concord,42.1762,-84.6457 +Trufant,43.3139,-85.3545 +Shelby,43.6117,-86.3648 +Lake Angelus,42.6921,-83.3215 +Auburn,43.6021,-84.0757 +Amasa,46.2295,-88.4579 +White Cloud,43.5541,-85.7721 +Grand Beach,41.774,-86.7887 +Traverse City,44.7547,-85.6035 +New Boston,42.1625,-83.403 +Olivet,42.444,-84.9246 +Farmington,42.4614,-83.3784 +Copper Harbor,47.47,-87.8766 +Muskegon Heights,43.2024,-86.2421 +Douglas,42.6411,-86.2084 +Jenison,42.9063,-85.8269 +Corunna,42.9837,-84.1162 +South Range,47.0703,-88.6441 +Lakeport,43.115,-82.4902 +North Branch,43.2291,-83.1903 +Holly,42.7987,-83.6234 +Grand Ledge,42.7534,-84.7448 +Saranac,42.9294,-85.2105 +Potterville,42.6299,-84.7433 +Oscoda,44.425,-83.3339 +Unionville,43.6533,-83.467 +Mackinac Island,45.8593,-84.6253 +Cass City,43.6007,-83.1767 +Otsego Lake,44.917,-84.6925 +McBain,44.1961,-85.2154 +Allendale,42.9851,-85.9509 +Kinde,43.9405,-82.9963 +Grand Rapids,42.9615,-85.6557 +Hale,44.3778,-83.8047 +Keego Harbor,42.6088,-83.3442 +Alpha,46.044,-88.3776 +Caledonia,42.7945,-85.5153 +Decatur,42.1075,-85.9746 +Lupton,44.4297,-84.0225 +Sheridan,43.2086,-85.0739 +Hemlock,43.418,-84.2326 +Dansville,42.5558,-84.303 +Morley,43.4908,-85.4456 +Worden,42.3878,-83.6449 +Port Hope,43.9395,-82.7149 +Rothbury,43.52,-86.3588 +Bangor,42.312,-86.1135 +Constantine,41.8379,-85.6649 +Fruitport,43.1248,-86.1561 +Rives Junction,42.3859,-84.4616 +Prescott,44.1916,-83.9323 +Gregory,42.4584,-84.0844 +Leland,45.0214,-85.7575 +Trenton,42.1395,-83.193 +Beechwood,42.7961,-86.1274 +Manitou Beach,41.9698,-84.3083 +Sparlingville,42.9645,-82.523 +Beverly Hills,42.522,-83.2423 +Kingston,43.4128,-83.1863 +Union City,42.0663,-85.143 +Romulus,42.2237,-83.366 +Elmira,45.0645,-84.8562 +Mayville,43.3363,-83.352 +Rushton,42.452,-83.6961 +Pentwater,43.7793,-86.4303 +Baroda,41.9541,-86.4879 +Menominee,45.122,-87.6234 +Marion,44.1005,-85.1433 +West Monroe,41.9143,-83.4317 +Ellsworth,45.1665,-85.2435 +Franklin,42.5187,-83.303 +Chums Corner,44.6765,-85.6554 +Ypsilanti,42.2437,-83.6205 +Madison Heights,42.5073,-83.1034 +Maybee,42.0062,-83.515 +Harrisville,44.6575,-83.2946 +Saint Joseph,42.0967,-86.485 +Whittaker,42.1281,-83.5997 +Clarksville,42.8421,-85.2425 +Winona,46.8744,-88.9074 +Presque Isle,45.3042,-83.4769 +Nestoria,46.5702,-88.2637 +Dafter,46.36,-84.4273 +Omer,44.0487,-83.8565 +Henderson,43.0872,-84.1933 +Gaylord,45.0213,-84.6803 +Tecumseh,42.0067,-83.9451 +Engadine,46.1167,-85.5709 +Ann Arbor,42.2755,-83.7312 +Beulah,44.6292,-86.0964 +Benzonia,44.616,-86.0989 +Hastings,42.6498,-85.2886 +Coldwater,41.9456,-84.9993 +Beal City,43.6692,-84.9086 +Kalamazoo,42.2749,-85.5881 +Lake Linden,47.1939,-88.4054 +Saginaw,43.4199,-83.9501 +Middleville,42.7138,-85.4692 +Williamsburg,44.7736,-85.404 +Fennville,42.5947,-86.1052 +Lexington,43.2671,-82.537 +Dryden,42.9456,-83.124 +Capac,43.0076,-82.927 +Wellston,44.2179,-85.962 +Webberville,42.6643,-84.1797 +Lincoln Park,42.2433,-83.1811 +Gladstone,45.8522,-87.0356 +Oak Grove,44.9725,-84.6825 +Sault Sainte Marie,46.4817,-84.3723 +Howard City,43.3948,-85.4683 +Hessel,46.0042,-84.4259 +Stanwood,43.5805,-85.4481 +Omena,45.0599,-85.5952 +Three Oaks,41.7987,-86.613 +Buchanan,41.8283,-86.3656 +West Branch,44.2736,-84.2362 +Mesick,44.4042,-85.7171 +Livonia,42.3972,-83.3733 +Camden,41.7552,-84.7562 +Petoskey,45.3649,-84.9887 +Rockport,45.2039,-83.3855 +Negaunee,46.497,-87.5968 +Allen,41.958,-84.7682 +Saint Ignace,45.8695,-84.7255 +Interlochen,44.6497,-85.7678 +Clifford,43.3148,-83.1793 +Backus Beach,44.76,-83.5461 +Benton Heights,42.1211,-86.4137 +Grant,43.3348,-85.8094 +Harper Woods,42.439,-82.9292 +Bridgewater,42.1609,-83.9022 +Dowling,42.5227,-85.2531 +Rapid City,44.8366,-85.2871 +Little Lake,46.2888,-87.3418 +Clarenceville,42.4484,-83.3372 +Elwell,43.3875,-84.7458 +Copper City,47.2842,-88.3877 +Boyne City,45.2135,-85.0131 +Watervliet,42.1882,-86.2576 +Linden,42.8194,-83.7811 +Bridgman,41.9396,-86.5652 +Saint Clair,42.8262,-82.493 +Levering,45.6348,-84.7837 +Pontiac,42.6493,-83.2878 +Baraga,46.7766,-88.4965 +Ossineke,44.9072,-83.4287 +Manistee,44.244,-86.3242 +DeWitt,42.8364,-84.575 +Painesdale,47.0433,-88.6723 +Rock,46.0688,-87.166 +Buckley,44.5033,-85.672 +Elk Rapids,44.895,-85.4055 +Eaton Rapids,42.5092,-84.653 +Vassar,43.3719,-83.5769 +Peck,43.2588,-82.8167 +Sparta,43.1574,-85.7092 +Kinross,46.275,-84.5148 +Rockford,43.1267,-85.5582 +Central,47.4071,-88.2007 +Waldron,41.7242,-84.4189 +Idlewild,43.887,-85.8026 +Imlay City,43.0169,-83.0765 +Bridgeport,43.3706,-83.8828 +Rudyard,46.2325,-84.6003 +North Adams,41.9707,-84.5251 +Coopersville,43.0658,-85.9341 +Bruce Crossing,46.5349,-89.1788 +Prudenville,44.3015,-84.6652 +Port Sanilac,43.4277,-82.5446 +Ionia,42.9775,-85.0725 +Tustin,44.1009,-85.4589 +Lake Ann,44.7251,-85.845 +Honor,44.6666,-86.0201 +Woodland,42.7271,-85.1352 +Greilickville,44.8049,-85.663 +Custer,43.951,-86.2188 +Battle Creek,42.2985,-85.2296 +Covert,42.2936,-86.2622 +McMillan,46.3389,-85.6873 +Connorville,46.5519,-89.931 +Grosse Pointe Woods,42.4366,-82.8987 +Mikado,44.5908,-83.4227 +Lansing,42.7142,-84.56 +Lake George,43.9634,-84.947 +Hart,43.6948,-86.3697 +Hermansville,45.7111,-87.6021 +Whitmore Lake,42.4235,-83.7524 +Suttons Bay,44.9798,-85.6506 +Walloon Lake,45.2719,-84.9413 +Ferrysburg,43.085,-86.2221 +Bellaire,44.9737,-85.2058 +Bay View,45.3859,-84.9293 +Horton Bay,45.2814,-85.0742 +Vicksburg,42.1186,-85.5413 +Applegate,43.3554,-82.6371 +Gibraltar,42.096,-83.2029 +Eagle River,47.41,-88.2646 +Stalwart,46.0981,-84.2386 +Cedar Springs,43.2197,-85.553 +Trenary,46.1952,-86.9699 +Eastport,45.1112,-85.3518 +Freda,47.1352,-88.8187 +Southgate,42.2047,-83.2057 +Mineral Hills,46.1133,-88.6479 +Berrien Springs,41.9474,-86.3402 +Bitely,43.747,-85.8617 +Estral Beach,41.9868,-83.2357 +Brooklyn,42.1057,-84.2491 +Indiantown,43.4722,-83.8366 +Bete Grise,47.3888,-87.9551 +Caro,43.4895,-83.402 +Sunfield,42.7612,-84.9952 +McBride,43.3521,-85.0441 +Rawsonville,42.2153,-83.5516 +Haslett,42.7525,-84.402 +Niles,41.8346,-86.2473 +Mohawk,47.3038,-88.3648 +Eastlawn,42.2356,-83.588 +Princeton,46.2888,-87.4751 +Ovid,43.003,-84.3741 +Grawn,44.6611,-85.6881 +Saint Louis,43.4082,-84.6118 +Merrill,43.409,-84.3345 +Moddersville,44.2203,-84.9525 +Trowbridge Park,46.5565,-87.4417 +Brimley,46.4053,-84.5723 +Sterling Heights,42.5809,-83.0305 +Onekama,44.3656,-86.202 +Goodrich,42.9147,-83.5092 +Conway,45.4188,-84.8634 +Marshall,42.2617,-84.9598 +Grand Blanc,42.9259,-83.6182 +Thomaston,46.5163,-89.9274 +Whitehall,43.4003,-86.3405 +Saint Clair Haven,42.5834,-82.7902 +Salem,42.4061,-83.5799 +New Troy,41.879,-86.5475 +Naubinway,46.0925,-85.4476 +Harrison,44.0168,-84.808 +Auburn Hills,42.6735,-83.2447 +Edwardsburg,41.7965,-86.0835 +Tawas City,44.2679,-83.5244 +East Tawas,44.2884,-83.4849 +Alto,42.8567,-85.3803 +South Monroe,41.893,-83.4179 +Breedsville,42.3489,-86.0716 +Ravenna,43.1889,-85.9415 +Melstrand,46.463,-86.4152 +Fowlerville,42.6596,-84.0743 +Athens,42.0866,-85.2356 +Iron River,46.0966,-88.6396 +Springport,42.3783,-84.6965 +North Epworth,43.9781,-86.4668 +Bad Axe,43.8038,-82.9981 +Twin Lake,43.3695,-86.1805 +Mendon,42.0089,-85.4542 +Stony Creek,42.1559,-83.6527 +Temperance,41.7653,-83.5755 +Perrinton,43.1807,-84.6793 +Hope,43.7645,-84.3381 +Lowell,42.9351,-85.3457 +Midland Park,42.3909,-85.3856 +Oak Hill,44.2197,-86.3031 +Garden,45.773,-86.5529 +Willow Run,42.2573,-83.5744 +Nashville,42.6032,-85.0941 +Otisville,43.1661,-83.5247 +Frederic,44.7786,-84.7545 +Fairview,44.725,-84.0511 +Garden City,42.3244,-83.3412 +East Rockwood,42.0484,-83.2108 +Britton,41.9877,-83.8304 +Beaverton,43.8811,-84.4886 +Grosse Pointe Park,42.3794,-82.9288 +Snover,43.4653,-82.9709 +Alma,43.38,-84.6556 +Dollar Bay,47.1264,-88.5078 +Edgewater Heights,42.2039,-83.5119 +Freeport,42.7642,-85.316 +Glennie,44.5606,-83.7258 +Wakefield,46.4767,-89.9336 +Wyandotte,42.2113,-83.1558 +Kipling,45.8733,-87.0118 +New Buffalo,41.7923,-86.7423 +Wixom,42.5244,-83.5346 +Saint Johns,43.0006,-84.5556 +East Jordan,45.1546,-85.1299 +Fairport,45.6211,-86.6585 +Clarkston,42.7359,-83.4188 +Lathrup Village,42.4921,-83.2273 +Port Huron,42.9822,-82.4387 +Muir,42.9973,-84.9359 +Smyrna,43.0595,-85.2628 +Parma,42.2633,-84.5792 +Perkins,45.9777,-87.0718 +Carsonville,43.4257,-82.673 +Allen Park,42.2595,-83.2107 +Winn,43.5234,-84.9017 +Portland,42.8696,-84.899 +Reed City,43.8725,-85.5068 +Level Park,42.3603,-85.2725 +Middletown,42.9869,-84.1445 +Big Bay,46.8148,-87.6995 +Sheldon,42.2748,-83.4758 +Good Hart,45.5672,-85.1131 +Glen Arbor,44.896,-85.99 +Rockwood,42.0705,-83.243 +Stevensville,42.0139,-86.5243 +Luna Pier,41.8049,-83.4426 +Vermontville,42.627,-85.0249 +Bendon,44.637,-85.8378 +Seney,46.3455,-85.9454 +Argentine,42.7905,-83.8356 +Sterling,44.0325,-84.0194 +Milford,42.587,-83.6012 +Bellevue,42.4443,-85.0187 +Gay,47.2274,-88.1637 +Otsego,42.4575,-85.6979 +Huron Beach,45.4917,-84.0933 +Newberry,46.3538,-85.5098 +Leonard,42.8652,-83.1429 +Flint,43.0236,-83.6922 +Marysville,42.9083,-82.4806 +Keweenaw Bay,46.8602,-88.4818 +Dearborn,42.3127,-83.2129 +Pewamo,43.002,-84.8473 +National Mine,46.4585,-87.6815 +Ramsay,46.4702,-89.9966 +Farwell,43.8363,-84.8677 +Gould City,46.0953,-85.6968 +Pigeon,43.8295,-83.2703 +Wacousta,42.8202,-84.6907 +Sturgis,41.8004,-85.4181 +Sawyer,41.8853,-86.5895 +Greenland,46.7794,-89.1018 +Grandville,42.9003,-85.7564 +Haring,44.2821,-85.4005 +Clarklake,42.1214,-84.345 +Inkster,42.2935,-83.3148 +Richmond,42.8093,-82.7517 +Shingleton,46.3483,-86.4702 +Cady,42.5603,-82.9644 +Center Line,42.4805,-83.0274 +Troy,42.5818,-83.1457 +Northland,46.073,-87.5957 +Jasper,41.7859,-84.0403 +Hubbard Lake,44.8736,-83.5872 +Westwood,42.303,-85.6286 +Ithaca,43.2909,-84.5957 +Fairgrove,43.5245,-83.5434 +Warren,42.4934,-83.027 +Fife Lake,44.5731,-85.3511 +Perry,42.8193,-84.2321 +Pellston,45.5519,-84.783 +Carp Lake,45.689,-84.7582 +Deerton,46.4744,-87.0421 +Northview,43.0427,-85.6016 +Twining,44.1131,-83.8075 +Mason,42.5806,-84.4427 +Breckenridge,43.4074,-84.4784 +Riverview,42.1728,-83.1935 +Zeeland,42.8139,-86.0129 +Onaway,45.3592,-84.2278 +Kenton,46.4855,-88.894 +Grayling,44.6566,-84.7091 +Canadian Lakes,43.5789,-85.2972 +Freeland,43.5198,-84.1124 +Vestaburg,43.3992,-84.9056 +Bay Port,43.8378,-83.3742 +Hubbardston,43.0939,-84.8413 +East Lake,44.2444,-86.2962 +Arcadia,44.4931,-86.2369 +Mulliken,42.763,-84.8963 +Mackinaw City,45.7751,-84.7477 +Charlevoix,45.3137,-85.2558 +Litchfield,42.0411,-84.7569 +Elsie,43.0895,-84.3889 +Berkley,42.4986,-83.1853 +Paradise,46.6275,-85.0376 +Attica,43.0314,-83.1607 +Berville,42.9084,-82.883 +Taylor,42.226,-83.2688 +Glenn,42.5203,-86.2275 +Lovells,44.8031,-84.482 +Bronson,41.8728,-85.1915 +Genesee,43.1125,-83.6177 +Maple Rapids,43.1077,-84.6897 +Eastwood,42.3027,-85.5447 +Cedar River,45.4111,-87.3546 +Cement City,42.0682,-84.3282 +Clio,43.1773,-83.7356 +Roscommon,44.4922,-84.5918 +Saline,42.1737,-83.7782 +Galien,41.8015,-86.4995 +Stronach,44.2131,-86.2731 +Midland,43.6239,-84.2315 +Laurium,47.2351,-88.4382 +Hawks,45.302,-83.8875 +Greenville,43.1797,-85.2533 +Wolf Lake,43.2451,-86.1073 +Grass Lake,42.2511,-84.2075 +Otter Lake,43.2138,-83.4596 +Ruth,43.7153,-82.7402 +Ecorse,42.2489,-83.1399 +Lake Isabella,43.6417,-85.003 +Osseo,41.8859,-84.5441 +Manistique,45.9591,-86.2507 +Lawrence,42.2162,-86.0531 +Gaastra,46.0557,-88.605 +Mount Clemens,42.5976,-82.882 +South Rockwood,42.0597,-83.2654 +Sherwood,41.9997,-85.2394 +Hulbert,46.3542,-85.1501 +Stony Lake,43.5597,-86.5001 +Lexington Heights,43.225,-82.5246 +Cedar,44.8467,-85.7942 +Herman,46.6669,-88.3671 +Ahmeek,47.2984,-88.397 +Davison,43.0318,-83.5187 +Casnovia,43.2336,-85.7895 +Norwood,45.2239,-85.3791 +Schaffer,45.7611,-87.2987 +Stephenson,45.4137,-87.6091 +Devils Lake,42.0078,-84.2924 +Detroit,42.3834,-83.1024 +Okemos,42.7057,-84.4135 +Belleville,42.2022,-83.4838 +Ortonville,42.8511,-83.4427 +Aura,46.8627,-88.3187 +Adrian,41.8994,-84.0446 +Walker,42.9858,-85.7442 +Lachine,45.0775,-83.7161 +Lewiston,44.873,-84.3281 +Chelsea,42.3132,-84.0188 +Fair Haven,42.6792,-82.6538 +Southfield,42.4765,-83.2605 +Caspian,46.0653,-88.6266 +Westacres,42.6,-83.4249 +Schoolcraft,42.117,-85.6337 +Burton,42.9974,-83.6175 +Ironwood,46.4522,-90.1505 +Rose City,44.4209,-84.116 +Benton Harbor,42.1159,-86.4488 +Milan,42.0816,-83.6854 +Grosse Pointe Farms,42.4067,-82.8992 +Fostoria,43.2495,-83.3714 +Sylvan Lake,42.6172,-83.3331 +Portage,42.2,-85.5906 +Hudson,41.8569,-84.3451 +Dearborn Heights,42.3164,-83.2769 +Lost Lake Woods,44.7926,-83.4223 +Lake Orion,42.7827,-83.2455 +Vandercook Lake,42.1917,-84.3855 +Stockbridge,42.4483,-84.1757 +Lake Fenton,42.8453,-83.7086 +Springfield,42.3246,-85.2371 +Weston,41.7703,-84.0977 +Burt,43.2348,-83.9101 +Cross Village,45.6439,-85.0312 +Saint Charles,43.2988,-84.1476 +Cherry Hill,42.3061,-83.536 +Walkerville,43.7143,-86.1259 +Farmington Hills,42.486,-83.3771 +Eagle Harbor,47.4542,-88.1569 +Lake Michigan Beach,42.2127,-86.376 +Rosebush,43.6998,-84.7657 +Trout Lake,46.1936,-85.019 +Iron Mountain,45.8277,-88.0604 +Ferndale,42.4592,-83.1314 +Carson City,43.1816,-84.8463 +Advance,45.2161,-85.0807 +Nahma,45.8416,-86.664 +Hersey,43.8513,-85.4419 +Hillsdale,41.9266,-84.6356 +L'Anse,46.7525,-88.4477 +Plymouth,42.3719,-83.468 +Au Gres,44.0431,-83.6933 +Emmett,42.9934,-82.7653 +Eau Claire,41.9853,-86.304 +Woodhaven,42.132,-83.2374 +Turner,44.1422,-83.7875 +Ida,41.9109,-83.5735 +New Haven,42.7306,-82.7953 +Cheboygan,45.6415,-84.4685 +Alba,44.9786,-84.9695 +Climax,42.2383,-85.336 +Detroit Beach,41.9313,-83.3292 +Royal Oak,42.5084,-83.1539 +Colon,41.9592,-85.3229 +Empire,44.8126,-86.0594 +Melvin,43.1864,-82.8617 +Manville,41.9698,-71.4737 +Harrisville,41.9687,-71.6768 +Hopkinton,41.4622,-71.7783 +Wyoming,41.5143,-71.6903 +Central Falls,41.89,-71.3933 +Greenville,41.8799,-71.555 +Providence,41.8229,-71.4186 +Harmony,41.8964,-71.6053 +Warwick,41.7062,-71.4334 +Saunderstown,41.5079,-71.4245 +Carolina,41.4625,-71.6585 +Cranston,41.7658,-71.4858 +East Providence,41.8063,-71.3565 +Cumberland Hill,41.9736,-71.4605 +Esmond,41.8723,-71.4945 +Misquamicut,41.3237,-71.822 +Valley Falls,41.9234,-71.3923 +Coventry,41.7001,-71.6828 +Charlestown,41.3783,-71.6285 +Bradford,41.3944,-71.7541 +Clayville,41.7734,-71.6854 +Union Village,41.9912,-71.5392 +Chepachet,41.9105,-71.6653 +Wakefield,41.4373,-71.5014 +Greene,41.6988,-71.7339 +Ashaway,41.4259,-71.7852 +North Foster,41.8315,-71.7506 +Narragansett Pier,41.428,-71.467 +Newport,41.4803,-71.3205 +Pascoag,41.9518,-71.704 +Hope Valley,41.5151,-71.72 +Melville,41.5587,-71.2953 +Weekapaug,41.3359,-71.7633 +Westerly,41.3723,-71.8069 +Quonochontaug,41.3447,-71.7061 +Tiverton,41.6471,-71.1971 +West Kingston,41.4832,-71.5514 +Kingston,41.4738,-71.5236 +Washington,41.6884,-71.5667 +Belleville,41.554,-71.4687 +Woonsocket,42.001,-71.4993 +Centerdale,41.8565,-71.4787 +Watch Hill,41.3157,-71.8487 +Foster Center,41.7898,-71.7327 +Georgiaville,41.887,-71.5084 +Pawtucket,41.8743,-71.3743 +Natrona,37.712,-98.6648 +Corbin,37.1264,-97.5439 +Harper,37.285,-98.0277 +Park City,37.8102,-97.3255 +Arkansas City,37.0726,-97.0385 +Greenwich Heights,37.6533,-97.2053 +Dundee,38.3086,-98.8906 +Ottawa,38.6,-95.2642 +Plainville,39.2317,-99.301 +Wayne,39.7147,-97.542 +Republic,39.9239,-97.8245 +Delavan,38.6561,-96.8133 +Pomona,38.6099,-95.4526 +Arlington,37.8963,-98.1781 +Lake City,37.3534,-98.8209 +Jennings,39.6806,-100.2933 +Weir,37.3083,-94.7747 +Quinter,39.0667,-100.2348 +Brazilton,37.5598,-94.9575 +Brewster,39.3631,-101.3771 +Willowbrook,38.1011,-97.992 +El Dorado,37.8208,-96.8614 +Atlanta,37.4358,-96.767 +Easton,39.3451,-95.1172 +Burdick,38.5636,-96.8456 +Bellefont,37.8725,-99.6579 +Kechi,37.8234,-97.2891 +Aliceville,38.1545,-95.5519 +Montrose,39.7845,-98.0878 +Centralia,39.7242,-96.1304 +Kensington,39.7667,-99.0329 +Industry,39.1333,-97.1714 +Corwin,37.0842,-98.3045 +Silverdale,37.042,-96.9034 +Savonburg,37.7489,-95.143 +Canton,38.3859,-97.43 +Bison,38.5198,-99.1977 +Fowler,37.3826,-100.1957 +Varner,37.7189,-98.0364 +Galesburg,37.4721,-95.3563 +Ash Grove,39.1614,-98.362 +Trousdale,37.8153,-99.0857 +Kimball,37.6612,-95.1636 +Cedar Point,38.2599,-96.8215 +Ulysses,37.5772,-101.3547 +Bentley,37.8867,-97.5145 +Unified Government of Greeley County (balance),38.4806,-101.8061 +Beaumont,37.6581,-96.5328 +Grinnell,39.1266,-100.6312 +Pawnee Station,37.7,-94.7914 +Burrton,38.0238,-97.6711 +La Cygne,38.3475,-94.7608 +Iola,37.9273,-95.4006 +Hunnewell,37.0041,-97.4076 +Mound City,38.1324,-94.851 +Belvue,39.2163,-96.1788 +Andale,37.7914,-97.6273 +Mulvane,37.4787,-97.2726 +Timken,38.4734,-99.177 +Chase,38.3551,-98.349 +Medicine Lodge,37.2851,-98.5812 +Almena,39.8913,-99.7097 +Winchester,39.3226,-95.2688 +Severance,39.7667,-95.2492 +Stippville,37.2223,-94.8377 +Ness City,38.4539,-99.9049 +Arcadia,37.6409,-94.6239 +Basehor,39.1342,-94.9324 +Valley Center,37.8333,-97.3646 +Burlington,38.1931,-95.7452 +Wamego,39.2054,-96.3103 +Bucyrus,38.7237,-94.714 +Sylvia,37.9589,-98.4085 +Rice,39.5722,-97.5556 +Norway,39.6961,-97.7739 +New Strawn,38.2622,-95.7423 +Morganville,39.4666,-97.2038 +South Haven,37.0496,-97.4013 +Densmore,39.6383,-99.7393 +Gove,38.9578,-100.4887 +Hammond,37.9356,-94.6952 +Weskan,38.8653,-101.9682 +Ford,37.6367,-99.7538 +Spivey,37.4484,-98.1658 +Linn,39.6793,-97.0869 +Stilwell,38.7692,-94.6563 +Altoona,37.525,-95.6614 +Hamilton,37.9805,-96.1639 +Ozawkie,39.2355,-95.4658 +Sedan,37.1284,-96.1849 +Randall,39.6417,-98.0457 +Elmdale,38.3731,-96.6458 +Bern,39.9614,-95.9712 +Rock Creek,39.2458,-95.5372 +Blue Rapids,39.6791,-96.6593 +Overland Park,38.887,-94.687 +Cunningham,37.6447,-98.4311 +Haddam,39.8554,-97.3045 +Tasco,39.3542,-100.2912 +Leavenworth,39.3233,-94.9244 +Hickok,37.5611,-101.2288 +Wetmore,39.6355,-95.8113 +Upland,39.0889,-97.0192 +Green,39.4302,-96.9997 +Clinton,38.9117,-95.3905 +South Hutchinson,38.0278,-97.9428 +Medora,38.1489,-97.8456 +Lyons,38.3462,-98.2045 +Zurich,39.2324,-99.4348 +Clare,38.827,-94.8714 +Bucklin,37.5488,-99.6347 +Lindsborg,38.5773,-97.6738 +Saunders,37.4711,-102.0393 +Scott City,38.4791,-100.9023 +Jewell,39.6715,-98.1525 +Sylvan Grove,39.0123,-98.3944 +Greenleaf,39.7274,-96.9802 +Rexford,39.4705,-100.744 +Home,39.8415,-96.5199 +Elk City,37.2897,-95.91 +Antonino,38.7839,-99.3926 +Mission Woods,39.0342,-94.6107 +Alamota,38.4611,-100.3101 +Copeland,37.5408,-100.629 +Brownell,38.6406,-99.7444 +Dexter,37.1794,-96.716 +Quincy,37.882,-95.9928 +Quenemo,38.5802,-95.5266 +Chiles,38.6797,-94.7616 +Chicopee,37.3834,-94.7443 +Carneiro,38.7389,-98.0309 +Nicodemus,39.3945,-99.6171 +Holton,39.4699,-95.7319 +Lansing,39.2427,-94.8952 +Richmond,38.4012,-95.2532 +Clearwater,37.5093,-97.4975 +Gypsum,38.7058,-97.4266 +Hanover,39.8934,-96.8762 +Luray,39.1151,-98.6922 +Page City,39.0897,-101.1463 +Bazine,38.4463,-99.6927 +Langley,38.5467,-97.9628 +Columbus,37.1714,-94.8442 +Netawaka,39.603,-95.7189 +Alden,38.2441,-98.3118 +Niles,38.9694,-97.4628 +Downs,39.5037,-98.5476 +Aulne,38.2761,-97.0767 +Ellinwood,38.3592,-98.5849 +Duquoin,37.3828,-98.0737 +Wauneta,37.1131,-96.3806 +Neutral,37.0978,-94.795 +Corning,39.6566,-96.0289 +Claudell,39.6625,-99.0293 +Hedville,38.8628,-97.7614 +Akron,37.3517,-97.015 +Partridge,37.967,-98.0919 +Junction City,39.0272,-96.8497 +Hesston,38.1403,-97.4273 +Neosho Falls,38.0058,-95.5556 +Kendall,37.9347,-101.546 +Lane,38.4397,-95.0819 +Wakarusa,38.8911,-95.6999 +Roxbury,38.5511,-97.4274 +Denmark,39.0892,-98.287 +Pretty Prairie,37.78,-98.0224 +Skiddy,38.8681,-96.7945 +Hiawatha,39.8517,-95.5381 +Goessel,38.247,-97.3456 +Angola,37.1056,-95.4494 +Eastborough,37.6856,-97.2592 +Baxter Springs,37.0196,-94.735 +Havensville,39.5112,-96.0765 +Prairie View,39.8321,-99.5734 +Fredonia,37.5329,-95.8223 +Otis,38.5348,-99.0534 +Grandview Plaza,39.0327,-96.793 +Baileyville,39.8419,-96.1828 +Lebanon,39.8102,-98.5574 +Padonia,39.9233,-95.5628 +Westphalia,38.1818,-95.4906 +Sabetha,39.9136,-95.7917 +Birmingham,39.4092,-95.6825 +Harris,38.3206,-95.445 +Parkerville,38.7638,-96.6615 +Centerville,38.2209,-95.0141 +Earlton,37.5873,-95.4696 +Delphos,39.2745,-97.7655 +Powhattan,39.7618,-95.6341 +Sharon,37.2498,-98.4177 +Denton,39.7319,-95.2696 +Coolidge,38.0414,-102.0078 +Big Bow,37.565,-101.5616 +Silver Lake,39.0993,-95.8564 +Herndon,39.9088,-100.7861 +Willowdale,37.5153,-98.3017 +Fellsburg,37.812,-99.1754 +Wheaton,39.502,-96.319 +Inman,38.2301,-97.7726 +Beagle,38.4181,-94.955 +Coyville,37.6873,-95.8959 +Roeland Park,39.0358,-94.6374 +Utica,38.6426,-100.1699 +Buxton,37.4484,-95.9205 +Turon,37.8076,-98.4277 +Osage City,38.6337,-95.8218 +Angelus,39.1911,-100.6843 +Colony,38.0713,-95.3628 +Dresden,39.6218,-100.4188 +Raymond,38.278,-98.4143 +Vining,39.5673,-97.2936 +Iowa Point,39.9283,-95.2386 +Cawker City,39.5095,-98.4331 +Gardner,38.8162,-94.93 +Edmond,39.6271,-99.8197 +Natoma,39.1886,-99.0242 +Clayton,39.737,-100.1765 +Edgerton,38.7744,-94.9739 +Arrington,39.4628,-95.5364 +Hartford,38.3084,-95.9566 +Burden,37.3151,-96.7553 +Hitschmann,38.6242,-98.5815 +Heizer,38.4222,-98.8893 +Buhler,38.1383,-97.7704 +Stafford,37.9624,-98.5995 +Lovewell,39.8653,-97.9817 +Bush City,38.2111,-95.1447 +Lucas,39.0587,-98.5376 +Spring Hill,38.7564,-94.8201 +Riverton,37.0733,-94.706 +Cicero,37.3339,-97.3406 +Scandia,39.7969,-97.784 +Chapman,38.9745,-97.0236 +Admire,38.641,-96.102 +Narka,39.9598,-97.4268 +Meade,37.2836,-100.343 +Summerfield,39.9967,-96.3493 +Bunker Hill,38.8753,-98.6989 +Kelly,39.7378,-96.0033 +Lakin,37.9398,-101.2587 +Harveyville,38.7897,-95.9628 +Plevna,37.9717,-98.3095 +Windhorst,37.7853,-99.6421 +Damar,39.3192,-99.5845 +Long Island,39.9462,-99.534 +Strong City,38.3955,-96.5369 +Isabel,37.4672,-98.5515 +Le Loup,38.6953,-95.16 +Logan,39.6616,-99.5672 +Healy,38.603,-100.6176 +Asherville,39.4076,-97.9732 +Wolf,38.0322,-101.0991 +Bassett,37.9061,-95.4077 +Wilson,38.8255,-98.4749 +Elbing,38.0535,-97.1283 +Caney,37.0137,-95.9319 +Roper,37.6612,-95.7328 +Prairie Village,38.9875,-94.6361 +Perth,37.1747,-97.5053 +Furley,37.8792,-97.2128 +Sharpe,38.282,-95.6919 +Oketo,39.9633,-96.5989 +Halstead,37.9999,-97.5102 +Woodston,39.4539,-99.0981 +Larned,38.1834,-99.1013 +Elyria,38.2906,-97.627 +Pratt,37.6777,-98.7465 +Ingalls,37.8285,-100.4536 +Anson,37.3653,-97.5298 +Marietta,39.9431,-96.6086 +McPherson,38.3714,-97.6606 +Ramona,38.5979,-97.0637 +Burns,38.0897,-96.8878 +Leoti,38.4833,-101.3578 +Haven,37.9016,-97.7831 +Yoder,37.9454,-97.8681 +Doniphan,39.6417,-95.0808 +Argonia,37.2679,-97.7629 +Urbana,37.5581,-95.3994 +Hugoton,37.1746,-101.3449 +Great Bend,38.3593,-98.8015 +Morrill,39.929,-95.6944 +Eureka,37.826,-96.2888 +Coats,37.5108,-98.8254 +Rome,37.1614,-97.1428 +Edwardsville,39.0765,-94.8166 +Gordon,37.5886,-96.9906 +Agenda,39.7071,-97.4323 +Esbon,39.8218,-98.4337 +Seward,38.1778,-98.7943 +Dwight,38.8449,-96.5922 +Phillipsburg,39.7512,-99.321 +Liberal,37.0466,-100.9295 +Grainfield,39.1142,-100.4684 +North Newton,38.0765,-97.3474 +Pittsburg,37.4129,-94.6987 +Cairo,37.65,-98.5545 +Newton,38.0364,-97.3463 +Potter,39.4258,-95.1419 +Clay Center,39.3811,-97.1273 +Milan,37.2575,-97.6737 +Haviland,37.6173,-99.1058 +Effingham,39.5224,-95.3975 +Offerle,37.8907,-99.5603 +Garnett,38.2845,-95.2408 +Edson,39.3372,-101.5404 +Belle Plaine,37.3934,-97.2796 +Hollenberg,39.9811,-96.992 +Calista,37.6397,-98.2826 +Frankfort,39.7039,-96.4169 +Stanley,38.8545,-94.6658 +Talmage,39.0269,-97.2598 +Mound Valley,37.207,-95.4048 +Liberty,37.1565,-95.598 +Jefferson,37.1123,-95.7614 +Minneapolis,39.1243,-97.6997 +Peru,37.0803,-96.0962 +Carbondale,38.8192,-95.6931 +Jamestown,39.5996,-97.8613 +Reading,38.5192,-95.9574 +Miltonvale,39.3497,-97.4523 +Lenexa,38.9609,-94.8018 +Mapleton,38.0155,-94.8834 +Collyer,39.0373,-100.1186 +Bushong,38.6428,-96.2567 +Olmitz,38.5164,-98.9367 +Fort Scott,37.8283,-94.7038 +Cimarron,37.8097,-100.345 +Lecompton,39.0359,-95.393 +Rush Center,38.4648,-99.3108 +Satanta,37.4377,-100.988 +Oberlin,39.823,-100.5308 +Lowemont,39.3806,-95.0558 +Marion,38.3541,-97.0083 +Neosho Rapids,38.3685,-95.9916 +Richfield,37.2653,-101.7828 +Pomeroy,39.1683,-94.7613 +Northbranch,39.9728,-98.3717 +Burr Oak,39.87,-98.3055 +Wathena,39.7602,-94.9395 +Grove,39.1675,-95.8592 +Castleton,37.8678,-97.9692 +Parsons,37.3405,-95.2959 +Potwin,37.9387,-97.0184 +Kinsley,37.9224,-99.4114 +WaKeeney,39.0236,-99.8816 +Buffalo,37.7092,-95.6969 +Schoenchen,38.7128,-99.3319 +Cambridge,37.3178,-96.6676 +Wilmore,37.335,-99.2103 +Rose Hill,37.5702,-97.1361 +Langdon,37.8531,-98.3242 +Duluth,39.5247,-96.2231 +Kanopolis,38.7081,-98.1581 +Yale,37.4839,-94.6419 +Claflin,38.5245,-98.5369 +Erie,37.5718,-95.2418 +Sherwin,37.1801,-94.9477 +Grenola,37.3506,-96.4494 +Maize,37.7749,-97.4619 +Sanford,38.1806,-99.3143 +Selma,38.1348,-95.1233 +Wilmot,37.3761,-96.8759 +Cherokee,37.3451,-94.8215 +Homewood,38.5147,-95.3789 +Wagstaff,38.665,-94.7963 +Burdett,38.1935,-99.5264 +Stark,37.6897,-95.144 +Glendale,38.8983,-97.875 +Bavaria,38.7972,-97.7556 +Falun,38.6744,-97.7513 +Winfield,37.274,-96.9499 +Longford,39.1722,-97.3288 +Ogallah,38.9914,-99.7323 +Amy,38.482,-100.6018 +Labette,37.23,-95.1835 +Deerfield,37.9819,-101.1331 +Blakeman,39.8222,-101.1171 +Burlingame,38.7517,-95.8348 +Elkhart,37.0038,-101.8944 +Howard,37.4696,-96.2632 +Galva,38.3836,-97.5381 +Munjor,38.8089,-99.2674 +Portis,39.5639,-98.6915 +Cummings,39.4628,-95.2475 +Emporia,38.4028,-96.1924 +New Cambria,38.879,-97.5066 +Alexander,38.4693,-99.5531 +Lincoln,39.0408,-98.1448 +Beeler,38.4445,-100.1949 +De Soto,38.9687,-94.9548 +Paola,38.5784,-94.8619 +Atwood,39.8101,-101.0418 +La Crosse,38.5319,-99.3095 +Blue Mound,38.089,-95.01 +Xenia,37.9953,-94.9864 +Bennington,39.0332,-97.5933 +Enterprise,38.9029,-97.1163 +Beverly,39.0138,-97.9755 +Lawton,37.222,-94.6361 +Selkirk,38.4733,-101.5435 +Manter,37.5244,-101.8835 +Yocemento,38.9072,-99.424 +Whitewater,37.9636,-97.146 +Lackmans,38.9245,-94.7641 +Huscher,39.5242,-97.5892 +Auburn,38.9077,-95.8158 +Concordia,39.5669,-97.6466 +Kanorado,39.3365,-102.0373 +White Cloud,39.9744,-95.2991 +Olpe,38.2569,-96.1726 +Bonner Springs,39.0817,-94.8776 +Elsmore,37.7943,-95.1497 +Americus,38.5066,-96.2616 +Olivet,38.4813,-95.7519 +Laclede,39.3472,-96.2211 +Abilene,38.923,-97.2251 +Windom,38.3842,-97.9102 +Waterville,39.6919,-96.747 +Sharon Springs,38.8943,-101.7512 +Reager,39.8269,-100.0962 +Farlington,37.6178,-94.8277 +Overbrook,38.7794,-95.557 +Danville,37.286,-97.8921 +Faulkner,37.1015,-95.0116 +Sallyards,37.8214,-96.5072 +Murdock,37.6111,-97.9309 +Linn Valley,38.3758,-94.712 +Parkerfield,37.0679,-96.9958 +Patterson,37.9433,-97.655 +Alton,39.4678,-98.9486 +Mankato,39.7871,-98.2083 +Linwood,39.0019,-95.0363 +Louisville,39.2499,-96.3146 +Albert,38.4539,-99.0111 +White City,38.7938,-96.7349 +Dunlap,38.5763,-96.3676 +Topeka,39.0346,-95.6956 +Morrowville,39.8453,-97.1727 +Galatia,38.6411,-98.9578 +Devon,37.9223,-94.8191 +Hutchinson,38.0671,-97.9081 +Ogden,39.1127,-96.7028 +Dearing,37.0537,-95.6955 +Benton,37.7881,-97.1077 +Rago,37.4528,-98.0817 +Garden Plain,37.6629,-97.6788 +Severy,37.622,-96.2275 +Prescott,38.063,-94.6931 +Melvern,38.5073,-95.6377 +Pleasant Grove,38.8556,-95.2697 +Welda,38.1746,-95.2914 +Hepler,37.6637,-94.9697 +Reserve,39.977,-95.5654 +Conway,38.3695,-97.7864 +Saint George,39.1917,-96.4186 +Sun City,37.3785,-98.9165 +Lewis,37.937,-99.2547 +Garfield,38.0771,-99.2444 +Wellsville,38.7166,-95.0806 +Galena,37.0752,-94.6353 +Westwood Hills,39.0389,-94.6097 +Thayer,37.4851,-95.4845 +Westfall,38.93,-98.0114 +Robinson,39.8154,-95.4115 +Ellsworth,38.7326,-98.2286 +Carlyle,37.9936,-95.3908 +Sherman,37.2573,-95.0572 +Shawnee,39.0158,-94.8076 +Gridley,38.1007,-95.8826 +Formoso,39.7789,-97.993 +Geuda Springs,37.1116,-97.1504 +Paradise,39.1145,-98.9184 +Denison,39.3938,-95.6285 +Independence,37.2122,-95.7324 +Richland,38.8836,-95.5397 +Chautauqua,37.0241,-96.1774 +Gaylord,39.6463,-98.8473 +Hanston,38.123,-99.7126 +Elmont,39.1653,-95.703 +Lyndon,38.6118,-95.6843 +Big Springs,39.0131,-95.485 +Athol,39.7662,-98.9198 +Herkimer,39.8911,-96.7111 +Beulah,37.4403,-94.8283 +Barnes,39.7116,-96.8733 +Traer,39.9283,-100.6663 +Coldwater,37.2583,-99.3378 +Havana,37.092,-95.9424 +Boicourt,38.2709,-94.7202 +Wakefield,39.2164,-97.019 +Oneida,39.8668,-95.9398 +Kiowa,37.0174,-98.4848 +Gorham,38.8806,-99.0237 +Mentor,38.7406,-97.6031 +Saint Benedict,39.8872,-96.0989 +Navarre,38.7969,-97.1059 +Chanute,37.6697,-95.4619 +Midway,37.6617,-97.9359 +New Albany,37.5678,-95.9363 +Palco,39.2532,-99.5634 +Macksville,37.9572,-98.9689 +Dodge City,37.761,-100.0182 +Humboldt,37.8119,-95.437 +Pauline,38.9633,-95.6905 +Nekoma,38.4736,-99.4421 +Selden,39.5416,-100.5669 +Washington,39.8173,-97.0487 +Andover,37.6868,-97.1353 +Kackley,39.7,-97.8531 +Council Grove,38.6623,-96.4917 +Manchester,39.0933,-97.3202 +Mahaska,39.9874,-97.3538 +Vermillion,39.7183,-96.266 +Allen,38.6552,-96.1696 +Huron,39.6382,-95.3512 +Greeley,38.3676,-95.1272 +Yates Center,37.8681,-95.7535 +Lake Quivira,39.0388,-94.7688 +Grantville,39.0807,-95.557 +Fontana,38.4239,-94.8442 +Hoyt,39.2494,-95.708 +Kipp,38.785,-97.4568 +Levant,39.3881,-101.1948 +Wright,37.7753,-99.8905 +Williamstown,39.0628,-95.3328 +Alta Vista,38.8629,-96.4888 +Vilas,37.6542,-95.5864 +Hoxie,39.3558,-100.4397 +Spearville,37.8481,-99.7548 +South Mound,37.4373,-95.2286 +Aurora,39.4519,-97.5298 +Park,39.1118,-100.3616 +Smolan,38.7381,-97.6843 +Osborne,39.4407,-98.6993 +Vassar,38.6495,-95.6114 +Scranton,38.7778,-95.7402 +Peck,37.4775,-97.3723 +Hays,38.8814,-99.3217 +Bendena,39.7436,-95.1811 +Shallow Water,38.3736,-100.9129 +Johnson,37.5706,-101.751 +Waverly,38.3964,-95.6048 +Bridgeport,38.6278,-97.6131 +Volland,38.9444,-96.4044 +Soldier,39.5373,-95.9657 +Hoisington,38.518,-98.7773 +Westmoreland,39.3943,-96.4138 +Ionia,39.6639,-98.3476 +Leona,39.786,-95.3213 +Bird City,39.7495,-101.5328 +Cassoday,38.0385,-96.6386 +Fulton,38.0098,-94.7196 +Parker,38.3287,-94.9897 +La Harpe,37.9165,-95.3023 +Bluff City,37.0761,-97.8747 +McDonald,39.7847,-101.3702 +Covert,39.2803,-98.8109 +Mont Ida,38.2167,-95.3683 +Rolla,37.1179,-101.6318 +Winifred,39.7694,-96.4808 +Lehigh,38.3744,-97.3024 +Cedar Vale,37.1061,-96.5018 +Beaver,38.6403,-98.667 +Goff,39.6642,-95.9319 +Vesper,39.032,-98.2801 +Latham,37.5356,-96.6427 +Ransom,38.6362,-99.9328 +Saint Francis,39.7714,-101.8015 +Eudora,38.9344,-95.0957 +Willis,39.7226,-95.5058 +Niotaze,37.0678,-96.0147 +Bellaire,37.7625,-97.267 +Eskridge,38.8595,-96.1049 +Frontenac,37.4583,-94.7017 +Clyde,39.5918,-97.4002 +West Mineral,37.2839,-94.9268 +Wellsford,37.6167,-99.0287 +Muscotah,39.5535,-95.5204 +Keats,39.2236,-96.7086 +Horton,39.6627,-95.5327 +Loretta,38.6536,-99.1807 +Riley,39.299,-96.8276 +Liebenthal,38.6545,-99.3201 +Mildred,38.0248,-95.174 +McCracken,38.582,-99.569 +Beardsley,39.8144,-101.2277 +Cedar Bluffs,39.9789,-100.5618 +Abbyville,37.9705,-98.2029 +Farmington,39.5186,-95.3097 +Scammon,37.278,-94.823 +Protection,37.2004,-99.4808 +Cedar,39.6571,-98.9402 +Beattie,39.8624,-96.4178 +Floral,37.3528,-96.9209 +Onaga,39.4893,-96.1702 +Mullinville,37.589,-99.4756 +Louisburg,38.6203,-94.677 +Gem,39.426,-100.8973 +Toronto,37.7986,-95.9497 +Redfield,37.8366,-94.882 +Hopewell,37.8047,-98.9957 +Montezuma,37.5925,-100.4502 +Saint Paul,37.5186,-95.1742 +Wellington,37.2622,-97.4282 +New Lancaster,38.4625,-94.733 +Mayfield,37.2632,-97.5403 +Mayetta,39.3384,-95.7215 +Byers,37.7879,-98.8671 +Oak Valley,37.3434,-96.01 +Woodruff,39.9928,-99.4265 +Goodland,39.349,-101.7141 +Codell,39.1933,-99.1773 +Elgin,37.0019,-96.2806 +McLouth,39.1961,-95.2083 +Goodrich,38.2847,-94.9919 +Kenneth,38.855,-94.6119 +Rossville,39.1358,-95.9496 +Wabaunsee,39.1461,-96.3461 +Saint Peter,39.1897,-100.0893 +Everest,39.6768,-95.4249 +Russell Springs,38.9128,-101.1757 +Saint Joseph,39.5097,-97.4061 +Tampa,38.548,-97.1542 +Waldron,37.0018,-98.1826 +Coffeyville,37.052,-95.6178 +Nortonville,39.4157,-95.3303 +Goddard,37.6658,-97.5621 +Studley,39.3531,-100.1637 +Bogue,39.3595,-99.6877 +Ellis,38.9367,-99.5594 +Reece,37.7989,-96.4464 +Benedict,37.6269,-95.7438 +Piper,39.1431,-94.8614 +Cheney,37.6352,-97.7797 +Oakley,39.1234,-100.8449 +Jetmore,38.0247,-99.9077 +Hamlin,39.9156,-95.6276 +Hilltop,38.0556,-96.0397 +Leonardville,39.3641,-96.8597 +Viola,37.483,-97.6445 +Shields,38.6156,-100.4451 +Hope,38.6912,-97.0765 +Zenda,37.4441,-98.282 +Lowell,37.0509,-94.7032 +Glen Elder,39.5001,-98.3066 +Midland Park,37.5889,-97.3378 +Oak Hill,39.2466,-97.343 +Norwich,37.4573,-97.848 +Dorrance,38.8469,-98.59 +Nashville,37.4384,-98.4227 +Hunter,39.2349,-98.396 +Mount Hope,37.8735,-97.6619 +Hillsboro,38.3524,-97.1991 +Catharine,38.9302,-99.2144 +Lone Star,38.8667,-95.3553 +New Almelo,39.5942,-100.1179 +Fairview,39.8395,-95.7285 +Garden City,37.9755,-100.8529 +Oxford,37.2741,-97.1696 +Bloom,37.4864,-99.8962 +Hackney,37.1661,-97.1475 +Schulte,37.6231,-97.4714 +Culver,38.9692,-97.7592 +Tonganoxie,39.1083,-95.0829 +Tipton,39.3395,-98.4709 +Alma,39.0151,-96.2873 +Iuka,37.7295,-98.7323 +Freeport,37.1989,-97.8542 +Kansas City,39.1234,-94.7443 +Glade,39.6832,-99.3115 +Moundridge,38.2037,-97.5153 +Courtland,39.7834,-97.8963 +Menlo,39.3561,-100.7242 +Marquette,38.5555,-97.8344 +Ashland,37.1868,-99.7697 +Penalosa,37.7156,-98.3202 +Longton,37.3779,-96.0821 +Augusta,37.6955,-96.9921 +Mitchell,38.3839,-98.0998 +Leawood,38.9076,-94.6258 +Fairport,39.0458,-99.0306 +Whiting,39.5879,-95.6112 +Miller,38.6345,-95.9905 +Oswego,37.1673,-95.1124 +Reno,39.0511,-95.12 +Leoville,39.5817,-100.461 +LeRoy,38.0863,-95.6331 +Carlton,38.6866,-97.2931 +Minneola,37.4421,-100.0131 +Tribune,38.472,-101.7545 +Piqua,37.922,-95.5375 +Moran,37.9164,-95.1714 +Kalvesta,38.0595,-100.2863 +Lenora,39.6109,-100.0014 +Portland,37.0778,-97.3123 +Dennis,37.347,-95.4128 +Randolph,39.429,-96.7598 +Towanda,37.7954,-96.9963 +Sublette,37.4822,-100.8465 +Russell,38.8878,-98.8513 +Tecumseh,39.0481,-95.5791 +Nickerson,38.1489,-98.0883 +Williamsburg,38.4829,-95.4716 +Conway Springs,37.3899,-97.643 +Ludell,39.8556,-100.9599 +Saint Marys,39.1942,-96.0646 +McCune,37.3538,-95.0194 +Colby,39.3842,-101.0461 +Bloomington,39.4517,-98.787 +Tyro,37.0373,-95.8213 +Glasco,39.3609,-97.8371 +Sterling,38.2094,-98.2063 +Rozel,38.1954,-99.4032 +Milford,39.173,-96.9106 +Atchison,39.5627,-95.137 +Vinland,38.8394,-95.1822 +Latimer,38.7386,-96.8459 +Gas,37.923,-95.3455 +Victoria,38.8538,-99.1477 +St. John,38,-98.7611 +Wilsey,38.6357,-96.6765 +Marysville,39.8431,-96.6386 +Smith Center,39.7751,-98.7833 +Hewins,37.0409,-96.4083 +Little River,38.3983,-98.0148 +Verdi,38.9917,-97.5031 +Halls Summit,38.3472,-95.6753 +Woodbine,38.7956,-96.9594 +Lebo,38.4156,-95.8622 +Bushton,38.5123,-98.3961 +Sawyer,37.4981,-98.682 +Pawnee Rock,38.2649,-98.9823 +Solomon,38.9215,-97.3692 +Clements,38.3,-96.7408 +Wilroads Gardens,37.7153,-99.9269 +Sedgwick,37.9158,-97.4215 +Haysville,37.565,-97.3528 +Barclay,38.5772,-95.8803 +Kismet,37.2046,-100.7015 +Palmer,39.6333,-97.1399 +Elmo,38.6842,-97.23 +Ensign,37.6531,-100.2332 +Lorraine,38.569,-98.3174 +Holyrood,38.5876,-98.412 +Scottsville,39.5426,-97.9523 +Troy,39.7846,-95.0936 +Durham,38.4851,-97.227 +Westwood,39.0394,-94.6156 +Kirwin,39.6694,-99.1225 +Agra,39.7615,-99.1196 +Petrolia,37.7459,-95.4716 +Lafontaine,37.3992,-95.8453 +Perry,39.0732,-95.3865 +Caldwell,37.035,-97.6089 +Belmont,37.5236,-97.9892 +Maple Hill,39.0855,-96.0278 +Olsburg,39.4321,-96.6145 +Greensburg,37.6049,-99.2896 +Holcomb,37.986,-100.9936 +Charleston,37.8653,-100.5649 +Walnut,37.6018,-95.0742 +Plains,37.2642,-100.5898 +Hiattville,37.7223,-94.8716 +Ottumwa,38.2778,-95.7989 +Norton,39.8363,-99.8916 +Piedmont,37.6236,-96.3656 +Udall,37.389,-97.1176 +Friend,38.26,-100.9115 +Arma,37.543,-94.7024 +Douglass,37.5169,-97.0106 +Morland,39.3489,-100.0743 +Centropolis,38.7161,-95.3503 +Walton,38.1193,-97.2582 +Roseland,37.2805,-94.8438 +Cuba,39.8023,-97.4576 +Axtell,39.8712,-96.2566 +Moscow,37.3249,-101.2069 +Susank,38.6407,-98.7745 +Pfeifer,38.7081,-99.1657 +Lamont,38.1125,-96.0267 +Seguin,39.3375,-100.5949 +Lost Springs,38.5666,-96.9658 +Montana,37.2753,-95.1241 +Marienthal,38.4891,-101.22 +Odin,38.5654,-98.6087 +Syracuse,37.9619,-101.7782 +Rosalia,37.8158,-96.625 +Sycamore,37.327,-95.7155 +Hardtner,37.0143,-98.6492 +Saint Marks,37.7358,-97.5623 +Frederick,38.5127,-98.2673 +Neal,37.8342,-96.0803 +Belpre,37.9507,-99.0998 +Aetna,37.0839,-98.9629 +Neodesha,37.4242,-95.6849 +Rock,37.4403,-97.0064 +Opolis,37.3445,-94.6211 +Englevale,37.5939,-94.7275 +Lincolnville,38.4943,-96.9613 +Attica,37.2426,-98.2276 +Seneca,39.8376,-96.0689 +Madison,38.1338,-96.1372 +Assaria,38.6802,-97.604 +Lone Elm,38.0797,-95.243 +Geneseo,38.517,-98.1545 +Radium,38.1738,-98.8944 +Wayside,37.1248,-95.8733 +Peabody,38.1683,-97.1043 +Bronson,37.8958,-95.0732 +Moline,37.3637,-96.3025 +Baldwin City,38.7782,-95.1879 +Fort Dodge,37.7304,-99.937 +Brookville,38.7737,-97.8648 +Garland,37.7317,-94.6225 +Pierceville,37.8784,-100.6768 +Kingman,37.6476,-98.1161 +Saxman,38.2806,-98.1259 +Wolcott,39.1889,-94.8016 +Fanning,39.8347,-95.1614 +Mission Hills,39.0141,-94.6172 +Salina,38.8137,-97.6143 +Shaw,37.6023,-95.3175 +Wallace,38.9127,-101.593 +Fairway,39.0245,-94.6287 +Idana,39.3575,-97.2642 +Munden,39.9126,-97.5385 +Elk Falls,37.3733,-96.1934 +Sitka,37.175,-99.6515 +Meriden,39.1896,-95.5679 +Ada,39.1621,-97.886 +Herington,38.6863,-96.867 +Hazelton,37.0894,-98.4015 +Valley Falls,39.3408,-95.4612 +Croft,37.5034,-98.9948 +Winona,39.0618,-101.2449 +Cherryvale,37.2693,-95.554 +Detroit,38.9359,-97.1247 +Lawrence,38.9597,-95.2641 +Wheeler,39.7642,-101.7129 +Vernon,37.9806,-95.6569 +Bala,39.3097,-96.9497 +Anthony,37.1573,-98.0407 +Merriam,39.0186,-94.6934 +McFarland,39.0545,-96.2381 +Bartlett,37.0549,-95.2112 +Olathe,38.8838,-94.8196 +Englewood,37.0405,-99.9877 +Rantoul,38.5483,-95.1011 +Waldo,39.12,-98.7983 +Delia,39.2393,-95.9649 +Willard,39.0941,-95.9427 +Cullison,37.6302,-98.9054 +Horace,38.4768,-101.7904 +Oskaloosa,39.2158,-95.3145 +Belleville,39.8232,-97.6333 +Chetopa,37.0376,-95.0926 +Harlan,39.6056,-98.767 +Franklin,37.523,-94.6994 +Dellvale,39.7722,-100.0351 +Paxico,39.0689,-96.167 +Ashton,37.0831,-97.2387 +Highland,39.8603,-95.2649 +Stockton,39.4251,-99.2764 +Beloit,39.4645,-98.1083 +Preston,37.7584,-98.5578 +Fall River,37.6078,-96.0285 +Antelope,38.4361,-96.9739 +Leon,37.6897,-96.7836 +Pleasanton,38.1797,-94.7071 +Grigston,38.4847,-100.7171 +Tescott,39.013,-97.878 +Jingo,38.4039,-94.6961 +Melrose,37.0309,-94.9583 +Florence,38.2431,-96.9293 +Fostoria,39.4397,-96.5078 +Lancaster,39.571,-95.3037 +Uniontown,37.8471,-94.9758 +Cottonwood Falls,38.3685,-96.5427 +Teterville,38.0431,-96.4206 +Hudson,38.1048,-98.6605 +Morehead,37.3842,-95.5078 +Virgil,37.9807,-96.0116 +Altamont,37.1875,-95.2898 +Kingsdown,37.525,-99.7587 +Hymer,38.4861,-96.6892 +Manhattan,39.1882,-96.6053 +Circleville,39.5095,-95.8556 +Harding,37.9939,-94.8197 +Princeton,38.4875,-95.2704 +Osawatomie,38.5064,-94.9483 +Wells,39.1389,-97.5509 +Mulberry,37.5562,-94.6236 +Agricola,38.4195,-95.535 +Milton,37.4432,-97.7694 +Wichita,37.6897,-97.3442 +Hillsdale,38.6597,-94.8569 +Kincaid,38.0812,-95.1554 +Plymouth,38.4139,-96.3322 +Colwich,37.7818,-97.5363 +Derby,37.5571,-97.2552 +Emmett,39.3072,-96.0572 +Riverdale,37.39,-97.3725 +Simpson,39.386,-97.934 +Dover,38.9647,-95.9375 +Dighton,38.4811,-100.4664 +Girard,37.5093,-94.8456 +Fairmount,39.1917,-94.9355 +Barnard,39.1892,-98.0443 +Edna,37.0587,-95.3592 +Speed,39.6765,-99.421 +Climax,37.7191,-96.224 +Stull,38.9711,-95.4561 +Clifton,39.5682,-97.2807 +Mission,39.027,-94.6568 +Norcatur,39.8347,-100.1888 +Webber,39.9345,-98.0351 +Elwood,39.7518,-94.8889 +Hill City,39.3672,-99.8462 +Saint Leo,37.5292,-98.4104 +Matfield Green,38.1595,-96.5625 +Peoria,38.5847,-95.1489 +Savage,47.4536,-104.3414 +Carlyle,46.655,-104.076 +Corbin,46.3805,-112.0619 +Shelby,48.5034,-111.8615 +Lolo Hot Springs,46.7277,-114.5307 +Sumatra,46.6183,-107.5512 +Shonkin,47.6289,-110.5727 +Post Creek,47.3991,-114.0968 +Klein,46.3983,-108.5525 +Alder,45.3217,-112.1093 +Big Sky,45.2592,-111.3426 +McAllister,45.4444,-111.7322 +Shirley,46.5914,-105.58 +Arrow Creek,47.3444,-110.1752 +Darby,46.0234,-114.179 +Waterloo,45.7219,-112.1922 +Ollie,46.5847,-104.0847 +McLeod,45.6627,-110.116 +Poplar,48.1106,-105.1971 +Wolf Point,48.0934,-105.6413 +Stryker,48.6728,-114.7677 +Saco,48.4571,-107.3414 +Heart Butte,48.2905,-112.8364 +Winnett,47.0043,-108.3466 +Lakeview,44.5994,-111.8105 +Rockvale,45.5224,-108.8618 +Flatwillow,46.8319,-108.4001 +Lothair,48.4717,-111.2322 +Kinsey,46.5708,-105.6569 +Kevin,48.7458,-111.9656 +Hobson,46.9997,-109.8731 +Gilman,47.5091,-112.3653 +Geyser,47.2633,-110.4927 +Fort Belknap Agency,48.4278,-108.6829 +Jardine,45.0565,-110.6186 +Hingham,48.5554,-110.4213 +Monarch,47.0983,-110.8386 +Augusta,47.4893,-112.3922 +Townsend,46.3192,-111.5197 +Pendroy,48.0736,-112.2989 +Cushman,46.2883,-109.0427 +Rapelje,45.9719,-109.2552 +Sheffield,46.3328,-106.1395 +Hammond,45.2255,-104.918 +Coalwood,45.7281,-105.5905 +Hamilton,46.2527,-114.1598 +Sedan,45.9653,-110.8887 +Butte,45.902,-112.6571 +Lonepine,47.6946,-114.6408 +Francis,46.1458,-111.0891 +Saltese,47.4102,-115.5096 +Fallon,46.8373,-105.127 +Huntley,45.8995,-108.3054 +Mizpah,46.2447,-105.2675 +Virgelle,48.0153,-110.2505 +Fort Benton,47.8291,-110.6557 +Windham,47.0786,-110.1405 +Bear Dance,47.902,-114.0273 +Charlo,47.4427,-114.1716 +Hinsdale,48.4035,-107.0582 +Mildred,46.6758,-104.96 +Fromberg,45.3921,-108.9067 +Boyes,45.268,-105.0311 +Lohman,48.5897,-109.4052 +Dean,45.4047,-109.6905 +Stevensville,46.5111,-114.0788 +Froid,48.3352,-104.492 +Bainville,48.1394,-104.2197 +Hardy,47.1863,-111.8058 +Rexford,48.8999,-115.1716 +Fort Peck,48.007,-106.4552 +Victor,46.4161,-114.1491 +Muddy,45.5798,-106.7754 +Sand Springs,47.1008,-107.4856 +Sangrey,48.2817,-109.8166 +Oilmont,48.74,-111.8409 +Cut Bank,48.6344,-112.3304 +Alberton,47.0037,-114.4817 +Willow Creek,45.8178,-111.6402 +Basin,46.2834,-112.2871 +Lockwood,45.8199,-108.4072 +Sanders,46.2914,-107.0967 +Columbus,45.636,-109.2488 +Epsie,45.4917,-105.6511 +Bighorn,46.1617,-107.4487 +Nohly,47.9956,-104.0919 +Beaver Creek,48.5437,-109.8068 +Christina,47.3819,-109.3241 +De Borgia,47.3778,-115.3189 +Ravalli,47.2799,-114.1658 +Hysham,46.2909,-107.2305 +Red Rock,44.9005,-112.8189 +Adel,47.0277,-111.6239 +Chinook,48.5901,-109.2318 +Albion,45.1872,-104.2769 +Apgar,48.5277,-113.9932 +Dodson,48.3953,-108.2472 +West Glendive,47.1056,-104.7541 +Culbertson,48.1474,-104.5154 +Elliston,46.5587,-112.4639 +Snider,47.6038,-115.2185 +Turtle Lake,47.6697,-114.0815 +Box Elder,48.323,-110.0177 +Utica,46.9683,-110.0924 +Denton,47.3222,-109.9481 +Gallatin Gateway,45.5899,-111.1953 +Martinsdale,46.4548,-110.312 +East Missoula,46.8801,-113.9401 +Galata,48.4755,-111.3522 +Wyola,45.1154,-107.3738 +Condon,47.5225,-113.6987 +Broadview,46.0988,-108.8789 +Glasgow,48.199,-106.6321 +South Glastonbury,45.3121,-110.8076 +Bowdoin,48.3928,-107.6062 +Colstrip,45.8943,-106.628 +Raymond,48.8764,-104.5802 +Mill Iron,45.8536,-104.2194 +Haugan,47.3833,-115.3996 +Dell,44.723,-112.6972 +Harlowton,46.4368,-109.835 +Quietus,45.0964,-106.2831 +Jordan,47.3209,-106.9097 +Joliet,45.4845,-108.9721 +Polaris,45.3696,-113.1195 +Opportunity,46.1071,-112.8281 +King Arthur Park,45.6664,-111.1269 +Elkhorn,46.2843,-111.9488 +Hanover,47.1214,-109.5546 +Intake,47.2939,-104.5219 +Richey,47.6439,-105.0695 +Three Forks,45.8899,-111.5523 +Chapman,48.8686,-108.1332 +Rocky Boy's Agency,48.2561,-109.7883 +Lambert,47.6836,-104.6208 +Churchill,45.75,-111.3102 +Plevna,46.4184,-104.5186 +Belgrade,45.7796,-111.1751 +Dillon,45.2177,-112.6348 +Nashua,48.1336,-106.3571 +Molt,45.8613,-108.9279 +Evaro,47.0737,-114.0205 +Vananda,46.3919,-107.0023 +Logan,45.8843,-111.4236 +Lloyd,48.2903,-109.3621 +Blackfoot,48.5753,-112.8767 +Raynesford,47.27,-110.7299 +Orchard Homes,46.8559,-114.0777 +Broadwater,46.6035,-112.0867 +Fortine,48.7723,-114.9008 +Bearmouth,46.7102,-113.3315 +Dixon,47.3172,-114.3569 +Gildford,48.5737,-110.3072 +Hedgesville,46.4566,-109.5027 +Turah,46.8399,-113.8251 +West Yellowstone,44.6627,-111.1057 +White Pine,47.7435,-115.4824 +Kirby,45.3325,-106.9817 +Niarada,47.8309,-114.5578 +Montague,47.6791,-110.4541 +Barber,46.3133,-109.3852 +Glentana,48.8481,-106.2495 +Lewistown Heights,47.0784,-109.4736 +Avon,46.6264,-112.582 +Grantsdale,46.2035,-114.1418 +Vandalia,48.3547,-106.9098 +Seeley Lake,47.1614,-113.4525 +Lake Mary Ronan,47.9292,-114.389 +Volborg,45.8428,-105.6811 +Loma,47.9512,-110.4887 +West Havre,48.547,-109.7311 +Tampico,48.3047,-106.827 +Saddle Butte,48.5235,-109.6448 +Eureka,48.876,-115.0475 +Saint Marie,48.4053,-106.4986 +Webster,46.055,-104.2472 +Ismay,46.5004,-104.7931 +Arlee,47.1678,-114.0838 +Wagner,48.3706,-108.0776 +Ingomar,46.5767,-107.3723 +Deer Lodge,46.3974,-112.7337 +Canyon Creek,46.8055,-112.2645 +White Sulphur Springs,46.5452,-110.9039 +Bigfork,48.0852,-114.0551 +Sonnette,45.413,-105.8314 +Superior,47.1935,-114.892 +Black Eagle,47.527,-111.267 +Highwood,47.5992,-110.7677 +Kalispell,48.2155,-114.3262 +Willard,46.1939,-104.3699 +Saint Pierre,48.2439,-109.8161 +Goldcreek,46.5866,-112.9287 +Laredo,48.4314,-109.8833 +Evergreen,48.2308,-114.2701 +Shepherd,45.9469,-108.3462 +Gibson Flats,47.465,-111.2429 +Babb,48.8777,-113.4408 +Weldon,47.6125,-105.8922 +Holt,48.0822,-114.1098 +White Haven,48.3478,-115.516 +Hot Springs,47.6092,-114.6704 +Hogeland,48.8525,-108.6588 +Creston,48.1894,-114.1373 +Broadus,45.4431,-105.4084 +Coalridge,48.6984,-104.1891 +Bynum,47.9681,-112.3165 +Kila,48.1215,-114.4769 +Proctor,47.8924,-114.3054 +Sand Coulee,47.4026,-111.172 +Buffalo,46.8211,-109.8285 +Trout Creek,47.8331,-115.5836 +Maxville,46.476,-113.2355 +Outlook,48.8888,-104.785 +Clinton,46.7718,-113.7169 +Piltzville,46.8582,-113.8591 +Judith Gap,46.6791,-109.7534 +Batavia,48.1778,-114.4107 +Zortman,47.9167,-108.5091 +Noxon,47.985,-115.7707 +Bridger,45.2946,-108.9167 +Helmville,46.8666,-112.9612 +Tarkio,47.0213,-114.739 +Landusky,47.8978,-108.6224 +Iliad,47.7986,-109.786 +Flaxville,48.8045,-105.1735 +Wibaux,46.9866,-104.19 +Garrison,46.5259,-112.8205 +Pryor,45.4125,-108.5291 +Peerless,48.7825,-105.8311 +Clancy,46.4493,-112.0029 +Great Falls,47.5022,-111.2995 +Cohagen,47.0544,-106.6175 +Wolf Creek,47.0061,-112.0692 +Janney,45.9094,-112.4953 +Silesia,45.5559,-108.8373 +Otter,45.2078,-106.2017 +Delphia,46.5047,-108.2193 +Billings,45.7889,-108.5503 +Old Agency,47.3228,-114.2987 +Medicine Lake,48.5022,-104.5016 +Toston,46.1658,-111.446 +Whitewater,48.7634,-107.6302 +Sixteen,46.2152,-110.9977 +Maudlow,46.1077,-111.173 +Craig,47.0741,-111.9652 +Lennep,46.4161,-110.5433 +Ethridge,48.5578,-112.1206 +Wilsall,45.9844,-110.6605 +Saint Regis,47.3016,-115.1013 +Wise River,45.7913,-112.9495 +Lima,44.6384,-112.5919 +Farmington,47.8869,-112.1689 +Vida,47.832,-105.493 +Lincoln,46.953,-112.6693 +Angela,46.73,-106.2011 +Sun Prairie,47.8456,-107.7465 +Four Corners,45.6704,-111.178 +Collins,47.9283,-111.8103 +Simms,47.4931,-111.9474 +Kremlin,48.5706,-110.0861 +West Riverside,46.8771,-113.8898 +Power,47.7204,-111.6945 +Ekalaka,45.8897,-104.5506 +East Glacier Park Village,48.4459,-113.2236 +Rollins,47.9106,-114.1948 +Huson,47.0326,-114.3397 +Hodges,46.9836,-104.3877 +Devon,48.4667,-111.4786 +Greycliff,45.7588,-109.7799 +Twodot,46.4244,-110.073 +Dewey,45.7771,-112.855 +Sheridan,45.4588,-112.1946 +Big Arm,47.7936,-114.2701 +Hardin,45.7423,-107.6082 +Finley Point,47.7464,-114.0666 +Worden,45.9623,-108.1623 +Kerr,47.6771,-114.1874 +Heath,46.9958,-109.2671 +Moiese,47.3705,-114.266 +Wye,46.9523,-114.1331 +Eagleton,47.945,-109.7824 +Conrad,48.1741,-111.9466 +Rock Springs,46.8169,-106.247 +Lindsay,47.2189,-105.1539 +Glendive,47.1102,-104.707 +Midvale,48.8902,-115.0546 +Boyd,45.4556,-109.0667 +Lakeside,48.0182,-114.2274 +Suffolk,47.4669,-109.3557 +Anaconda,46.1285,-112.9423 +Dutton,47.8477,-111.7146 +Lake McDonald,48.6208,-113.8718 +Forest Hill Village,48.1208,-114.2618 +Santa Rita,48.6977,-112.3174 +Miles City,46.4059,-105.8385 +Birney,45.4155,-106.4933 +Ridge,45.0469,-105.0203 +Lindisfarne,47.8042,-114.2122 +Norris,45.568,-111.6908 +Springhill,45.8788,-111.0773 +Lolo,46.7756,-114.1018 +Paradise,47.3858,-114.799 +Maiden Rock,45.6966,-112.7367 +Alzada,45.0206,-104.4129 +Red Lodge,45.1933,-109.2501 +Ringling,46.2716,-110.8072 +Ross Fork,47.0772,-109.693 +Choteau,47.8137,-112.1794 +Ovando,47.0207,-113.1717 +Coffee Creek,47.3477,-110.0816 +Lewistown,47.0514,-109.4524 +Libby,48.3875,-115.5559 +Lame Deer,45.6176,-106.6134 +Emigrant,45.3754,-110.7465 +Luther,45.2844,-109.4288 +Ballantine,45.9511,-108.1428 +Pioneer Junction,48.3157,-115.5182 +Jefferson City,46.378,-112.0305 +Kiowa,48.5477,-113.2709 +Parker School,48.2468,-109.7342 +Frazer,48.0532,-106.0481 +Fife,47.4558,-111.023 +Moore,46.9749,-109.6949 +Frenchtown,47.0287,-114.2461 +Danvers,47.2253,-109.7171 +Whitlash,48.9083,-111.253 +Marion,48.0858,-114.6711 +Jeffers,45.3488,-111.7055 +Marsh,46.8897,-104.933 +Glen,45.4766,-112.6906 +Jackson,45.368,-113.4089 +Grant,45.0085,-113.067 +Charlos Heights,46.1337,-114.1812 +Havre,48.5428,-109.6805 +Saint Ignatius,47.3186,-114.0956 +Foster,45.925,-107.5909 +Fort Shaw,47.4969,-111.8194 +Herron,48.5341,-109.7718 +Helena,46.5964,-112.0197 +Pray,45.4151,-110.6533 +Drummond,46.6665,-113.1471 +Wisdom,45.6114,-113.4469 +Westby,48.8708,-104.0557 +Trego,48.6578,-114.9302 +Hilger,47.2539,-109.3599 +Terry,46.7922,-105.3125 +Garneill,46.7525,-109.7527 +Roundup,46.4485,-108.5402 +Hays,48.0104,-108.6607 +Pinnacle,48.3561,-113.6532 +Rudyard,48.5599,-110.5501 +Browning,48.5564,-113.0151 +Rosebud,46.2712,-106.447 +Edgar,45.4637,-108.8555 +Missoula,46.8685,-114.0094 +Grass Range,47.0261,-108.8031 +Hungry Horse,48.3842,-114.0651 +Belfry,45.1375,-108.9985 +Chico Hot Springs,45.3377,-110.6922 +Big Sandy,48.1785,-110.1134 +Whitetail,48.895,-105.1633 +Hathaway,46.2761,-106.1967 +Dagmar,48.5834,-104.1983 +Saint Xavier,45.4572,-107.7252 +Winifred,47.5621,-109.3773 +Sappington,45.7949,-111.7675 +Sidney,47.7152,-104.168 +Ledger,48.2603,-111.8231 +Anceney,45.6485,-111.3547 +Azure,48.305,-109.8073 +Horton,46.3414,-106.062 +Inverness,48.5599,-110.7101 +Gardiner,45.057,-110.7421 +Portage,47.6527,-111.1247 +Fishtail,45.4536,-109.5043 +Whitefish,48.4332,-114.3592 +Bearcreek,45.1606,-109.1573 +Joplin,48.559,-110.773 +Ennis,45.3461,-111.7319 +Bozeman,45.6828,-111.0548 +Antelope,48.6897,-104.4539 +Divide,45.751,-112.7473 +Winston,46.4684,-111.6652 +Saint Mary,48.7439,-113.4295 +Park City,45.6292,-108.9214 +Eustis,45.9897,-111.4666 +Harrison,45.7035,-111.7854 +Laurel,45.6735,-108.7707 +Comertown,48.897,-104.2488 +Brockway,47.2978,-105.7625 +Boneau,48.2926,-109.8632 +Ravenna,46.7144,-113.5315 +Bannack,45.161,-112.9956 +Miner,45.1991,-110.9086 +Floweree,47.7297,-111.0275 +Absarokee,45.5242,-109.4474 +Circle,47.4176,-105.587 +Sioux Pass,47.9225,-104.3258 +Stockett,47.3534,-111.1698 +Hoyt,46.9297,-104.8547 +Roosville,48.9991,-115.0566 +Polebridge,48.7652,-114.2851 +Hillsboro,45.1,-108.2329 +McCabe,48.2436,-104.3777 +Fairview,47.852,-104.051 +Happys Inn,48.0638,-115.135 +Beaverton,48.4236,-107.254 +Ryegate,46.2985,-109.2538 +Sun River,47.5306,-111.7239 +Leroy,47.8742,-109.3185 +Geraldine,47.6022,-110.2663 +Coram,48.4304,-114.044 +Neihart,46.9352,-110.736 +Decker,45.0119,-106.8634 +Big Timber,45.8347,-109.9488 +Cardwell,45.862,-111.9555 +Ashland,45.5977,-106.2975 +Myers,46.2508,-107.3403 +Weeksville,47.5309,-115.0082 +Kicking Horse,47.4568,-114.0717 +Carter,47.7812,-110.9399 +Lustre,48.3934,-105.8822 +Oswego,48.0586,-105.8811 +Silver Gate,45.0197,-109.9829 +Silver Star,45.6902,-112.2831 +Unionville,46.5413,-112.085 +Carlton,46.6796,-114.0718 +Thompson Falls,47.5994,-115.3428 +Reed Point,45.7071,-109.5471 +Sula,45.8452,-113.9629 +Nelson,46.8169,-111.8092 +Richland,48.8209,-106.0511 +Square Butte,47.515,-110.1983 +Heron,48.0637,-115.9801 +Scobey,48.7904,-105.4206 +Lodge Grass,45.3142,-107.3677 +Olney,48.5489,-114.5721 +East Helena,46.585,-111.9158 +Custer,46.1292,-107.5554 +Sylvanite,48.7061,-115.874 +Pompeys Pillar,45.9914,-107.9521 +Trident,45.9474,-111.4766 +Washoe,45.1638,-109.2132 +Marysville,46.7502,-112.3027 +Olive,45.5506,-105.528 +Warm Springs,46.1813,-112.7848 +Crane,47.5772,-104.2508 +Ramsay,46.0058,-112.6861 +Ronan,47.5287,-114.1005 +Belknap,47.6472,-115.4222 +Shawmut,46.3447,-109.5122 +Crow Agency,45.6026,-107.4591 +Roberts,45.3436,-109.1817 +Mosby,46.9922,-107.8837 +Teigen,47.0366,-108.5968 +Harlem,48.5318,-108.7847 +Waltham,47.5697,-110.8908 +Fresno,48.5678,-109.9866 +Philipsburg,46.3324,-113.296 +Elmo,47.8292,-114.3482 +Belmont,46.2313,-108.9888 +Hall,46.5852,-113.1967 +Troy,48.4623,-115.8917 +Perma,47.3638,-114.5848 +Loring,48.7922,-107.8618 +Enid,47.6956,-104.7797 +Warren,45.06,-108.6585 +Garryowen,45.5266,-107.4195 +Cat Creek,47.0653,-108.0062 +Four Buttes,48.8097,-105.6064 +Rocky Point,47.7323,-114.1855 +Benchland,47.0794,-110.0183 +Martin City,48.3935,-114.0307 +Acton,45.9305,-108.6807 +Melrose,45.6319,-112.6845 +Lodge Pole,48.0272,-108.5518 +Twin Bridges,45.5429,-112.3341 +Grayling,44.8055,-111.1944 +Biddle,45.1051,-105.3116 +Roscoe,45.3517,-109.4933 +Vaughn,47.5524,-111.5608 +Brockton,48.1498,-104.9142 +Columbia Falls,48.3708,-114.1903 +Brady,48.0279,-111.8441 +Moccasin,47.0533,-109.9105 +Opheim,48.8571,-106.4084 +Baker,46.3645,-104.2729 +Swan Lake,47.9361,-113.7997 +Cascade,47.271,-111.7028 +Andes,47.9556,-104.5488 +Chester,48.5113,-110.9662 +Forsyth,46.2669,-106.6748 +Virginia City,45.2962,-111.9369 +Pony,45.6628,-111.8828 +Monida,44.5619,-112.3136 +Camas,47.6179,-114.656 +Essex,48.278,-113.6126 +Valentine,47.3117,-108.4221 +Roy,47.3343,-108.96 +Woods Bay,48.0082,-114.0612 +Cameron,45.2033,-111.6786 +Knowlton,46.3436,-105.088 +Hughesville,47.0833,-110.6324 +Redstone,48.8217,-104.9441 +Camp Three,46.4534,-108.5741 +Fairfield,47.6153,-111.9815 +Cooke City,45.0186,-109.9119 +Jette,47.717,-114.1905 +Savoy,48.4742,-108.5438 +Crackerville,46.0646,-112.805 +Agawam,48,-112.1675 +Corvallis,46.314,-114.1121 +Brandenberg,45.8161,-106.2331 +De Smet,46.9333,-114.1032 +Boulder,46.2358,-112.1198 +Dayton,47.8644,-114.2765 +North Browning,48.5684,-113.0171 +Wheeler,48.0095,-106.5062 +Starr School,48.5976,-113.1433 +Musselshell,46.5064,-108.0862 +Melville,46.103,-109.9538 +Fort Smith,45.3134,-107.9296 +Reserve,48.6024,-104.4677 +Homestead,48.4211,-104.5388 +Montana City,46.5257,-111.9401 +Radersburg,46.1965,-111.6315 +Plentywood,48.776,-104.5573 +Clyde Park,45.884,-110.6057 +Franklin,46.3716,-109.2677 +Ulm,47.4197,-111.5252 +Blossburg,46.6327,-112.322 +West Glacier,48.4916,-113.9961 +Austin,46.6391,-112.2453 +Capitol,45.4361,-104.0655 +Plains,47.4602,-114.8842 +Larslan,48.5784,-106.1939 +Armington,47.3664,-110.9036 +Volt,48.3884,-105.7189 +Yaak,48.8647,-115.6777 +Bonner,46.8733,-113.8645 +Melstone,46.5984,-107.8688 +Florence,46.6345,-114.0814 +Kings Point,47.7634,-114.1498 +Belt,47.3874,-110.9278 +Lozeau,47.1166,-114.7801 +Springdale,45.7381,-110.2236 +Corwin Springs,45.1278,-110.7998 +Malta,48.3555,-107.8709 +Conner,45.929,-114.1326 +Coburg,48.4514,-108.4393 +Dunkirk,48.478,-111.6642 +Sunburst,48.8777,-111.9062 +Manhattan,45.8622,-111.3343 +Nye,45.4355,-109.8091 +Whitehall,45.8709,-112.0975 +Busby,45.5281,-106.9753 +Walkerville,46.0366,-112.5396 +Somers,48.0824,-114.2343 +Pinesdale,46.3338,-114.2232 +Riverbend,47.1472,-114.8318 +South Browning,48.5458,-113.0129 +Tracy,47.413,-111.1541 +Madoc,48.8109,-105.2858 +Polson,47.6896,-114.1429 +Stanford,47.1521,-110.219 +Fergus,47.3308,-109.0671 +Fox Lake,47.6858,-104.6331 +Park Grove,48.0303,-106.4453 +East Glacier Park,48.4414,-113.2181 +Morgan,48.9934,-107.8323 +Amsterdam,45.7462,-111.3301 +Kolin,47.1066,-109.773 +Brusett,47.4253,-107.2668 +Simpson,48.9286,-110.206 +Lavina,46.295,-108.9388 +Comanche,45.9977,-108.7735 +Limestone,45.4777,-109.9024 +Sweet Grass,48.9929,-111.9668 +Powderville,45.7589,-105.1153 +Greenough,46.9166,-113.4367 +Valier,48.3056,-112.2525 +Livingston,45.6667,-110.5538 +Pablo,47.6035,-114.1059 +Moorhead,45.065,-105.8711 +Turner,48.8469,-108.4007 +Dupuyer,48.1869,-112.4771 +Paulette,32.9965,-88.4298 +Holmesville,31.2035,-90.3087 +Leaf,31.0257,-88.7956 +Metcalfe,33.4505,-91.0018 +Meadville,31.4721,-90.893 +Dundee,34.5243,-90.4557 +Bolivar,33.6598,-91.0532 +Crandall,31.9746,-88.5323 +Bailey,32.4676,-88.7228 +Harperville,32.4943,-89.4895 +Vancleave,30.5483,-88.6675 +Boyle,33.7065,-90.7249 +Columbia,31.2564,-89.8266 +State Line,31.436,-88.4738 +Verona,34.1907,-88.7203 +Sledge,34.4327,-90.2213 +Shelby,33.9508,-90.7653 +Weir,33.2635,-89.2905 +Harrisville,31.9724,-90.0779 +Polkville,32.1909,-89.696 +Sanatorium,31.8988,-89.7776 +Batesville,34.3147,-89.9249 +Black Hawk,33.3262,-90.0118 +Montrose,32.1256,-89.2344 +De Lisle,30.3848,-89.2745 +Gloster,31.1951,-91.0176 +Okolona,34.0053,-88.7479 +Tunica,34.6881,-90.3809 +Glancy,31.8185,-90.4965 +Barnett,31.9868,-88.9051 +Midnight,33.0496,-90.5734 +Mooreville,34.2649,-88.5768 +Hudsonville,34.8612,-89.3751 +Kiln,30.4171,-89.4322 +Soso,31.7535,-89.2759 +Lynchburg,34.9623,-90.1052 +Flowood,32.3359,-90.0802 +Durant,33.0799,-89.8566 +Derma,33.8589,-89.2878 +Howard,33.1229,-90.1909 +Chicora,31.5638,-88.5753 +Marks,34.2535,-90.2723 +Bentonia,32.6437,-90.3692 +Crystal Springs,31.9903,-90.354 +Tishomingo,34.634,-88.2287 +Rich,34.4162,-90.4448 +Cruger,33.323,-90.2355 +Collins,31.6469,-89.5669 +Abbeville,34.5034,-89.5025 +Diamondhead,30.3791,-89.3707 +Tuscola,32.6201,-89.5278 +Sebastopol,32.5679,-89.334 +Sandersville,31.7879,-89.0362 +Brooksville,33.2367,-88.5781 +Bruce,33.9909,-89.3454 +Sherman,34.3611,-88.8387 +Standing Pine,32.6749,-89.4529 +Tucker,32.7081,-89.05 +Hamilton,33.746,-88.4095 +Buckatunna,31.5423,-88.5293 +Redwater,32.7835,-89.5559 +Sherard,34.2157,-90.7062 +Vance,34.0729,-90.3509 +Toomsuba,32.4267,-88.51 +Lena,32.5939,-89.5948 +Albin,33.9134,-90.3298 +Snell,32.1918,-88.5017 +Mize,31.8672,-89.5541 +Baird,33.4251,-90.5834 +Gallman,31.9321,-90.3893 +Gunn,32.0835,-89.7001 +Webb,33.9478,-90.3464 +Merrill,30.9791,-88.7206 +New Hebron,31.7332,-89.9833 +Clara,31.5831,-88.6916 +Percy,33.109,-90.8795 +McLain,31.1037,-88.8239 +Pearl River,32.7889,-89.2384 +Hattiesburg,31.3072,-89.3168 +Clarksdale,34.1971,-90.5729 +Saint Martin,30.4399,-88.8651 +Lyon,34.2169,-90.5427 +Quincy,33.9098,-88.367 +Ocean Springs,30.4082,-88.7861 +Magnolia,31.1619,-90.467 +Mount Pleasant,34.9559,-89.5159 +Tie Plant,33.7415,-89.7901 +Canton,32.5976,-90.0315 +Guntown,34.4447,-88.6641 +Louisville,33.1224,-89.0553 +Basic,32.2185,-88.7692 +Water Valley,34.1622,-89.6301 +Algoma,34.1788,-89.0336 +Centreville,31.087,-91.0654 +Michigan City,34.9809,-89.2506 +Darlove,33.2321,-90.7845 +Hazlehurst,31.8645,-90.3926 +Star,32.094,-90.0462 +De Kalb,32.7707,-88.656 +Beatty,33.2698,-89.739 +Waltersville,32.3796,-90.8679 +Poplar Creek,33.3521,-89.5556 +Beauregard,31.721,-90.3859 +Prentiss,31.5995,-89.8746 +Tilden,34.1868,-88.352 +Shivers,31.7966,-89.9876 +Penton,34.8659,-90.2798 +West Point,33.6064,-88.6571 +Denmark,34.3109,-89.3467 +Vardaman,33.8822,-89.1778 +Waynesboro,31.6773,-88.6353 +Taylor,34.2691,-89.5833 +Velma,34.0604,-89.6445 +Forkville,32.4607,-89.6609 +Strong,33.6954,-88.6045 +Pope,34.2146,-89.9481 +Wyatte,34.6418,-89.6943 +Stovall,34.2968,-90.6448 +Friars Point,34.368,-90.6379 +Chunky,32.3275,-88.9302 +Morgantown,31.3124,-89.9159 +Money,33.6512,-90.2093 +Wade,30.64,-88.5579 +Cockrum,34.8029,-89.812 +Nellieburg,32.3973,-88.783 +Sharon,31.7922,-89.0983 +Kossuth,34.8726,-88.6428 +Gattman,33.8849,-88.2367 +McAdams,33.0212,-89.6884 +New Hamilton,33.7435,-88.4389 +New Augusta,31.2036,-89.0273 +Mayersville,32.8964,-91.0467 +Utica,32.1061,-90.6221 +Orange Grove,30.4546,-89.0884 +Thompson,31.2568,-90.6382 +Hushpuckena,34.0048,-90.7532 +Agricola,30.8077,-88.52 +Raymond,32.2609,-90.4083 +Phoenix,32.5813,-90.5629 +Benoit,33.6517,-91.0087 +Red Lick,31.7924,-90.9793 +North Tunica,34.7032,-90.3796 +Falkner,34.8381,-88.9424 +Carpenter,32.034,-90.6804 +Mendenhall,31.9609,-89.8694 +Carrollton,33.5061,-89.9218 +Scooba,32.8302,-88.4771 +Hillhouse,34.1257,-90.8182 +Falcon,34.3911,-90.2557 +Foxworth,31.2386,-89.883 +Philipp,33.7576,-90.2043 +Lucas,31.5879,-89.9584 +Georgetown,31.8698,-90.1648 +Mattson,34.0979,-90.5101 +Bay Saint Louis,30.3281,-89.3774 +Deeson,34.0232,-90.8595 +Paris,34.1787,-89.4598 +McVille,32.9315,-89.622 +Isola,33.2634,-90.5923 +Jonestown,34.3222,-90.4542 +Farrell,34.2617,-90.675 +Savage,34.6298,-90.2232 +White Apple,31.4571,-91.0743 +Stampley,31.6371,-91.1312 +Maben,33.5544,-89.0805 +Morton,32.3499,-89.654 +Nettleton,34.0853,-88.6248 +Lyman,30.5044,-89.1348 +Bogue Chitto,31.4294,-90.4619 +Tuckers Crossing,31.6274,-89.0901 +Escatawpa,30.4912,-88.5495 +Pickens,32.8913,-89.9696 +McNair,31.6385,-91.042 +Lakeshore,30.2466,-89.4359 +Pinola,31.8771,-89.962 +Stanton,31.616,-91.2404 +Kirby,31.5116,-90.9809 +Monticello,31.5525,-90.1145 +Red Banks,34.8282,-89.5645 +Drew,33.8101,-90.5304 +Bigbee,34.0162,-88.5192 +Marietta,34.4999,-88.4726 +Hopewell,31.9474,-90.2154 +Hamburg,31.5788,-91.0668 +Valley Park,32.6335,-90.8668 +Winterville,33.5018,-91.0584 +Burns,32.1354,-89.5478 +Grace,32.9996,-90.9565 +Hickory,32.3167,-89.0217 +Edinburg,32.7993,-89.3362 +Pricedale,31.2905,-90.2948 +Booneville,34.6643,-88.5684 +Oxford,34.3609,-89.5286 +Rome,33.9632,-90.4784 +Ozona,30.5846,-89.6637 +Brookhaven,31.5803,-90.4432 +Vossburg,31.9288,-88.9409 +Yazoo City,32.8618,-90.4067 +Petal,31.3477,-89.2359 +Newton,32.3296,-89.1534 +Montpelier,33.7179,-88.9478 +Ingomar,34.4093,-89.0367 +Toccopola,34.2561,-89.2211 +Hinchcliff,34.3098,-90.2737 +White Oak,34.6438,-90.3495 +Southaven,34.9514,-89.9787 +Beaumont,31.1707,-88.9252 +Ashland,34.8341,-89.1778 +Perkinston,30.7821,-89.1381 +Duncan,34.0418,-90.7459 +Gulf Hills,30.4364,-88.8148 +Shuqualak,32.9793,-88.5693 +Madden,32.679,-89.3481 +Liberty,31.1611,-90.8006 +Lucedale,30.9312,-88.5959 +Learned,32.1973,-90.5486 +Oma,31.7268,-90.1448 +Jumpertown,34.708,-88.662 +Quitman,32.0417,-88.7202 +Martin Bluff,30.4569,-88.6395 +Wenasoga,34.987,-88.5906 +Summerland,31.7993,-89.3603 +Camden,32.7824,-89.8387 +Chatham,33.1007,-91.0979 +Holly Springs,34.7768,-89.4466 +Kosciusko,33.0585,-89.5893 +Renova,33.7805,-90.7232 +University,34.3656,-89.5379 +Arnold Line,31.3372,-89.3773 +Crowder,34.1729,-90.1377 +Bellefontaine,33.6487,-89.3101 +Daleville,32.5699,-88.6762 +Clinton,32.354,-90.3403 +Kilmichael,33.4404,-89.5673 +Indianola,33.4492,-90.6447 +Collinsville,32.4912,-88.8452 +Longview,33.404,-88.9212 +Lessley,31.1613,-91.4296 +Sanford,31.4868,-89.427 +Sweatman,33.6343,-89.5798 +Port Gibson,31.9558,-90.9834 +Purvis,31.1428,-89.4045 +Wiggins,30.8557,-89.1385 +Ackerman,33.311,-89.1711 +Kendrick,34.9704,-88.3817 +Banks,34.8259,-90.2298 +Bigbee Valley,33.2482,-88.3498 +Waterford,34.6476,-89.4573 +Hollywood,34.7454,-90.3582 +Hatley,33.9773,-88.4184 +Stringer,31.8668,-89.2634 +West Hattiesburg,31.3114,-89.374 +Winchester,31.6177,-88.5906 +Anding,32.6921,-90.3979 +Fayette,31.7123,-91.062 +Springville,34.2318,-89.1037 +Gatesville,31.9979,-90.2434 +Rolling Fork,32.9073,-90.8769 +Clarkson,33.6354,-89.1495 +Mantee,33.7226,-89.0597 +Sumrall,31.4171,-89.5423 +Cleary,32.1635,-90.182 +Prairie Point,33.1473,-88.3936 +Enterprise,32.1731,-88.8162 +Charleston,34.0075,-90.0552 +Tremont,34.2327,-88.2509 +Coffeeville,33.9765,-89.6845 +Bolton,32.3546,-90.4586 +Bonhomie,31.2891,-89.3098 +Ansley,30.2252,-89.4837 +Thomastown,32.864,-89.6695 +Woodville,31.1029,-91.2992 +Maxie,30.978,-89.1959 +Union Church,31.6829,-90.7876 +Auburn,31.3593,-90.6079 +Bay Springs,31.9772,-89.2792 +Vaiden,33.3332,-89.7533 +Tula,34.2329,-89.3623 +Bude,31.463,-90.8509 +Howison,30.6655,-89.1384 +Denham,31.6538,-88.5256 +Farmington,34.9224,-88.4432 +Hide-A-Way Lake,30.574,-89.6417 +New Hope,33.4521,-88.3399 +Philadelphia,32.7761,-89.1221 +Battles,31.5018,-88.5095 +Tutwiler,34.0121,-90.4301 +Goodman,32.9677,-89.9128 +Coila,33.3954,-89.9712 +Renfroe,32.8596,-89.4512 +Estill,33.2182,-90.8709 +Crawford,33.3023,-88.6253 +De Soto,31.9738,-88.7134 +Starkville,33.4608,-88.8297 +Matherville,31.8657,-88.5656 +Amory,33.9813,-88.4823 +Tamola,32.5868,-88.477 +Roxie,31.5046,-91.0676 +Kearney Park,32.5897,-90.3158 +Caledonia,33.6836,-88.326 +Decatur,32.4339,-89.1092 +Eupora,33.5436,-89.2766 +Hiwannee,31.8102,-88.6906 +Thorn,33.9426,-89.1026 +Pheba,33.5843,-88.9498 +Benton,32.8265,-90.2595 +Leflore,33.6937,-90.0548 +Freeny,32.701,-89.4815 +Natchez,31.5437,-91.3867 +Satartia,32.672,-90.5445 +Leland,33.4051,-90.891 +Bond,30.8944,-89.1687 +Winborn,34.6312,-89.2731 +Wesson,31.6999,-90.3959 +Biggersville,34.8356,-88.5587 +Egypt,33.8984,-88.7298 +Johns,32.131,-89.8381 +Doddsville,33.6599,-90.5214 +Eagle Bend,32.5204,-91.0068 +Walnut Grove,32.5932,-89.4578 +Summit,31.2808,-90.467 +Sibley,31.3793,-91.3987 +Sunflower,33.5444,-90.5373 +Burnsville,34.8348,-88.3178 +Pontotoc,34.2532,-89.0091 +Wanilla,31.6429,-90.1318 +Glendora,33.8276,-90.2928 +Gulf Park Estates,30.3801,-88.7581 +Carriere,30.6169,-89.6526 +Gunnison,33.9437,-90.9468 +Wilkinson,31.2224,-91.239 +Independence,34.7051,-89.809 +Holcut,34.7298,-88.3059 +Moselle,31.5024,-89.2789 +Bissell,34.2462,-88.7828 +McNeill,30.6688,-89.6384 +Beulah,33.7905,-90.9802 +Winstonville,33.9123,-90.7529 +Biloxi,30.4422,-88.9512 +Coldwater,34.6902,-89.9757 +Kolola Springs,33.654,-88.4089 +Pascagoula,30.3665,-88.5507 +Byhalia,34.869,-89.689 +Wallerville,34.4418,-88.9459 +Dublin,34.0723,-90.4907 +Lexington,33.1163,-90.0498 +Value,32.2876,-89.9956 +Williamsburg,31.6193,-89.6106 +Louin,32.0722,-89.2626 +Rodney,31.8613,-91.1998 +Midway,32.8865,-90.1923 +New Albany,34.4909,-89.0201 +Goss,31.3555,-89.8887 +Washington,31.5788,-91.2993 +Prairie,33.7968,-88.6675 +Marion,32.4272,-88.6502 +Rockport,31.7949,-90.1568 +Ebenezer,32.9707,-90.0909 +Baxterville,31.0841,-89.5903 +Gulfport,30.4271,-89.0703 +Jackson,32.3163,-90.2124 +Branch,32.4304,-89.7115 +Merigold,33.8392,-90.7264 +Mashulaville,33.0868,-88.7442 +Kokomo,31.1974,-90.0029 +Evansville,34.6404,-90.3887 +Electric Mills,32.7693,-88.4639 +Bobo,34.1321,-90.6757 +Cloverdale,31.496,-91.4152 +Dossville,32.9307,-89.5498 +Taylorsville,31.8322,-89.434 +McCall Creek,31.5127,-90.6987 +Baldwyn,34.5071,-88.6416 +Lauderdale,32.5104,-88.5264 +Terry,32.1047,-90.298 +Runnelstown,31.3757,-89.1117 +Leedy,34.7954,-88.3612 +Eddiceton,31.5021,-90.7915 +Swan Lake,33.8748,-90.2834 +Crenshaw,34.5047,-90.1946 +Paden,34.6603,-88.2605 +Coahoma,34.3663,-90.522 +Stonewall,32.1364,-88.7958 +Big Creek,33.8464,-89.4159 +Ecru,34.355,-89.0222 +Belzoni,33.1804,-90.4863 +Belen,34.2732,-90.3543 +Blue Mountain,34.6739,-89.0262 +Mount Carmel,31.6452,-89.7898 +Talowah,31.076,-89.4303 +Fulton,34.2616,-88.4021 +Calhoun City,33.8588,-89.3145 +McDonald,32.6604,-89.1328 +Etta,34.4704,-89.2276 +McMillan,33.1701,-89.1092 +Harriston,31.7252,-91.0323 +Darbun,31.2763,-90.047 +Smithville,34.068,-88.3983 +Aberdeen,33.8287,-88.5539 +Ellisville,31.5969,-89.2091 +Vaughan,32.8065,-90.0418 +Rosetta,31.3166,-91.1009 +Geeville,34.5762,-88.6909 +Pearl,32.273,-90.0918 +Vicksburg,32.3173,-90.8868 +Forest,32.3595,-89.4761 +Union,32.5711,-89.1152 +McHenry,30.7077,-89.1384 +Trebloc,33.8412,-88.8303 +Senatobia,34.6081,-89.9762 +Eastport,34.8856,-88.1006 +Cary,32.8056,-90.9245 +Stafford Springs,31.9049,-88.9334 +Lambert,34.2006,-90.2845 +Winona,33.4899,-89.7279 +Brooklyn,31.0563,-89.1862 +Deemer,32.7454,-89.1181 +Big Point,30.5905,-88.4846 +Flora,32.5433,-90.3141 +Schlater,33.6397,-90.3494 +Adams,32.1599,-90.5607 +Magee,31.873,-89.734 +Snow Lake Shores,34.8239,-89.2385 +Ethel,33.122,-89.465 +Tomnolen,33.4848,-89.3606 +Sumner,33.9693,-90.3693 +Fitler,32.7254,-91.0337 +Canaan,34.9304,-89.1267 +Cleveland,33.744,-90.7285 +Laurel,31.6956,-89.1448 +Shannon,34.1144,-88.6931 +Conehatta,32.4601,-89.2785 +Braxton,32.0264,-89.9715 +Prismatic,32.5918,-88.7384 +Edwards,32.3326,-90.6055 +Oakley,32.2176,-90.5032 +Benndale,30.8716,-88.807 +Pulaski,32.2721,-89.6023 +Tchula,33.1831,-90.2232 +North Carrollton,33.5186,-89.9193 +Nitta Yuma,33.0243,-90.8493 +Elliott,33.6913,-89.7525 +Anguilla,32.9719,-90.8284 +Heidelberg,31.8898,-88.9879 +Fort Adams,31.0866,-91.5482 +Suqualena,32.4435,-88.8264 +Hillsboro,32.4491,-89.4889 +Martinsville,31.791,-90.407 +Kreole,30.406,-88.4947 +Fairview,34.3645,-88.3173 +Piney Woods,32.0627,-89.9929 +Garden City,31.3671,-91.1279 +Waveland,30.293,-89.3904 +Tunica Resorts,34.8298,-90.3217 +Pearlington,30.2492,-89.6047 +Beechwood,32.3303,-90.819 +Iuka,34.8077,-88.1978 +Chatawa,31.0605,-90.4723 +Richton,31.3495,-88.9407 +Courtland,34.2409,-89.9433 +Raleigh,32.0322,-89.5247 +Glendale,31.368,-89.3086 +Prichard,34.6995,-90.2443 +Houlka,34.0382,-89.022 +Blue Springs,34.4013,-88.8721 +Steens,33.5634,-88.3161 +Houston,33.8963,-89.0032 +Osyka,31.0072,-90.4719 +Carter,32.989,-90.4493 +Miller,34.9176,-89.7687 +Mayhew,33.4848,-88.6345 +Tiplersville,34.8956,-88.9076 +Pachuta,32.0441,-88.8844 +Nesbit,34.8818,-90.0087 +Sontag,31.6524,-90.2043 +Mount Olive,31.7539,-89.656 +Shubuta,31.862,-88.7021 +Lula,34.4545,-90.4779 +Dennis,34.5587,-88.2262 +Randolph,34.1815,-89.1684 +Grand Gulf,32.0332,-91.0526 +Sarah,34.5695,-90.2104 +Richland,32.2309,-90.1592 +Alligator,34.0899,-90.7206 +Paulding,32.0307,-89.0376 +Mound Bayou,33.8808,-90.728 +Lumberton,31.0065,-89.4613 +Santa Rosa,30.4296,-89.6478 +Bourbon,33.3243,-90.7987 +Avalon,33.6551,-90.0856 +Tyro,34.5837,-89.7054 +Horn Lake,34.9512,-90.0501 +Hollandale,33.1761,-90.8529 +Latimer,30.4972,-88.8607 +Tillman,31.8546,-90.9162 +Thornton,33.0793,-90.3226 +Greenwood,33.5126,-90.1993 +DeWeese,32.7101,-88.9376 +James,33.2037,-91.0573 +Coles,31.2774,-91.0318 +Sturgis,33.3452,-89.0458 +Sallis,33.0215,-89.7647 +Sardis,34.4355,-89.9114 +Sidon,33.4079,-90.2082 +Ridgeland,32.4236,-90.1481 +Reganton,32.1418,-90.7487 +Tinsley,32.7321,-90.4604 +Thaxton,34.3071,-89.1745 +Silver Creek,31.6048,-90.0022 +McComb,31.2449,-90.4714 +McCool,33.1995,-89.3418 +Banner,34.0887,-89.3848 +Potts Camp,34.6492,-89.3065 +Belmont,34.5045,-88.208 +Long Beach,30.3608,-89.165 +Troy,34.119,-88.8851 +Itta Bena,33.5003,-90.3256 +Arm,31.5029,-90.0162 +Enid,34.1165,-89.9398 +Gholson,32.9365,-88.7339 +Sylvarena,32.0144,-89.3818 +Way,32.744,-90.0331 +West,33.1977,-89.7821 +Holcomb,33.7643,-89.9732 +Brandon,32.2778,-89.9896 +Puckett,32.0858,-89.7819 +Smithdale,31.3396,-90.6829 +Meridian,32.3846,-88.6897 +Tougaloo,32.3976,-90.159 +Mantachie,34.3251,-88.4961 +Neely,31.1649,-88.7548 +Saltillo,34.379,-88.6939 +Quito,33.4387,-90.3012 +Peoria,31.1416,-90.6809 +Lamont,33.5354,-91.0762 +Sarepta,34.1246,-89.2876 +Henderson Point,30.3154,-89.2864 +Burnside,32.8535,-89.1034 +Saucier,30.6239,-89.1432 +Pocahontas,32.4743,-90.2862 +Weathersby,31.9393,-89.8317 +Lorman,31.8204,-91.0501 +McLaurin,31.168,-89.2173 +Zama,32.9751,-89.3801 +Eden,32.9837,-90.324 +Leakesville,31.1545,-88.558 +D'Lo,31.9869,-89.9011 +Nicholson,30.4863,-89.6995 +Columbus,33.5088,-88.4097 +Ludlow,32.5718,-89.7129 +Pace,33.7921,-90.8591 +Ripley,34.7321,-88.9444 +Rienzi,34.7633,-88.534 +Seminary,31.5581,-89.4987 +Brownsville,32.4488,-90.437 +Macon,33.1217,-88.5564 +Duck Hill,33.6316,-89.7153 +Madison,32.4738,-90.13 +Barr,34.6245,-89.7801 +Holly Bluff,32.8215,-90.709 +Slate Spring,33.7407,-89.3712 +Wool Market,30.4677,-88.9959 +Wayside,33.269,-91.0337 +Mathiston,33.539,-89.1277 +Inverness,33.3543,-90.5913 +Fernwood,31.1855,-90.449 +Blaine,33.6079,-90.5226 +Noxapater,32.9936,-89.0636 +Glens,34.8662,-88.4139 +Hickory Flat,34.6159,-89.1913 +Heads,33.4707,-90.8465 +Shaw,33.6015,-90.772 +Carthage,32.7431,-89.5337 +Greenville,33.385,-91.0514 +Highpoint,33.1882,-89.1462 +Arcola,33.2705,-90.8801 +Poplarville,30.8391,-89.5306 +Tylertown,31.1173,-90.1444 +Ruth,31.3816,-90.3165 +Carlisle,32.0027,-90.7845 +Pattison,31.8885,-90.8873 +Betheden,33.2198,-88.9409 +Wheeler,34.5804,-88.6076 +Walls,34.9251,-90.1555 +Minter City,33.7534,-90.2945 +Como,34.5134,-89.9391 +Picayune,30.5289,-89.6788 +Stewart,33.4507,-89.4362 +Sandy Hook,31.0363,-89.8048 +Hermanville,31.9593,-90.8401 +Oak Vale,31.4385,-89.9645 +Belden,34.3104,-88.7884 +Artesia,33.4163,-88.6424 +Ovett,31.4854,-89.0328 +D'Iberville,30.4545,-88.8982 +Hurley,30.6638,-88.4994 +Little Rock,32.526,-89.0253 +Gautier,30.4106,-88.6568 +Rosedale,33.8525,-91.0339 +Woodland,33.7797,-89.0507 +Bassfield,31.496,-89.745 +Porterville,32.6879,-88.4723 +Grenada,33.7816,-89.813 +Walnut,34.9497,-88.9236 +Morgan City,33.3786,-90.3461 +Golden,34.4866,-88.1863 +Pinckneyville,31.016,-91.4809 +Preston,32.8826,-88.8289 +Robinsonville,34.8173,-90.3162 +Silver City,33.0952,-90.4967 +Helena,30.4881,-88.5056 +Crosby,31.2791,-91.063 +Florence,32.1557,-90.1224 +Louise,32.9816,-90.5904 +Myrtle,34.5605,-89.1179 +Onward,32.7254,-90.942 +Lake,32.3407,-89.3295 +Tillatoba,33.9851,-89.8961 +Pittsboro,33.94,-89.3373 +Pass Christian,30.327,-89.2436 +Darling,34.3591,-90.2754 +Slayden,34.947,-89.4409 +Dubbs,34.5684,-90.3737 +McCallum,31.2377,-89.2126 +Lexie,31.0788,-90.1709 +Paynes,33.9209,-90.0695 +Myrick,31.661,-88.9942 +Hernando,34.8496,-89.992 +Walthall,33.6069,-89.2787 +Pelahatchie,32.3148,-89.8082 +French Camp,33.2931,-89.3993 +Palmers Crossing,31.2824,-89.2756 +Moss Point,30.424,-88.5289 +Roberts,32.2293,-89.2295 +Byram,32.189,-90.2861 +Plantersville,34.2103,-88.6654 +Rawls Springs,31.3797,-89.3878 +Corinth,34.9474,-88.5143 +Olive Branch,34.9608,-89.8478 +Redwood,32.4776,-90.8037 +Skene,33.7037,-90.7943 +Tupelo,34.2691,-88.7318 +Stallo,32.9201,-89.1006 +Glen Allan,33.024,-91.0301 +Dumas,34.638,-88.8431 +Scott,33.5918,-91.0743 +Moorhead,33.4494,-90.5063 +Oakland,34.0557,-89.9151 +Neshoba,32.6235,-89.1381 +Ruleville,33.7246,-90.55 +Ware Shoals,34.3921,-82.2421 +Pacolet Mills,34.9226,-81.7426 +Awendaw,32.9824,-79.646 +Lodge,33.0678,-80.9537 +Antreville,34.2971,-82.5541 +Ninety Six,34.1696,-82.024 +Clover,35.1124,-81.2202 +Columbia,34.037,-80.9042 +Fairfax,32.9593,-81.2363 +Lake City,33.8676,-79.7533 +Belvedere,33.5369,-81.9424 +Modoc,33.7191,-82.2174 +Gramling,35.0782,-82.1332 +Sangaree,33.0328,-80.1252 +Williamston,34.6194,-82.4795 +Shell Point,32.3744,-80.7524 +Waterloo,34.3563,-82.0571 +Central Pacolet,34.9096,-81.7526 +Scranton,33.9174,-79.7441 +Wando,32.9335,-79.8317 +Elgin,34.1703,-80.793 +Whitmire,34.5041,-81.6144 +Yemassee,32.6928,-80.8547 +Richburg,34.7167,-81.0197 +Red Bank,33.9296,-81.2321 +Richtex,34.1835,-81.1818 +Jonesville,34.8348,-81.6811 +Chesterfield,34.733,-80.078 +Parker,34.8514,-82.4512 +Longs,33.9385,-78.7331 +North Hartsville,34.4011,-80.071 +Kline,33.1252,-81.3426 +Manning,33.6929,-80.2178 +Cottageville,32.9362,-80.4803 +Barnwell,33.2419,-81.3659 +Ulmer,33.0986,-81.208 +Windsor,33.4812,-81.5129 +Hardeeville,32.295,-81.0324 +Ravenwood,34.034,-80.9673 +Arcadia,34.9609,-81.9929 +Verdery,34.1093,-82.2493 +Ruffin,33.0046,-80.8157 +Dentsville,34.0753,-80.9547 +Stuckey,33.7322,-79.5132 +Eureka Mill,34.718,-81.193 +Norway,33.4503,-81.1266 +Liberty Hill,34.4782,-80.8017 +Wade Hampton,34.8821,-82.3336 +Cherry Grove Beach,33.8274,-78.6428 +Lamar,34.1695,-80.0649 +Donalds,34.3766,-82.3467 +Gray Court,34.6079,-82.1144 +Turbeville,33.8896,-80.0161 +Vance,33.4365,-80.42 +New Ellenton,33.4192,-81.6813 +Loris,34.0575,-78.8877 +Hopkins,33.8983,-80.86 +Greer,34.9346,-82.2333 +Coward,33.9721,-79.749 +Irwin,34.6942,-80.8197 +Seven Oaks,34.0474,-81.1435 +Cane Savannah,33.8923,-80.4395 +Dillon,34.423,-79.369 +Promised Land,34.1277,-82.2307 +Rodman,34.7688,-81.0881 +Bonneau Beach,33.3228,-79.99 +Bethune,34.4142,-80.3487 +Russellville,33.397,-79.9637 +Pendleton,34.6453,-82.7822 +Tigerville,35.0669,-82.3695 +Mount Pleasant,32.8533,-79.8269 +McConnells,34.8695,-81.2266 +Rowesville,33.3722,-80.8362 +Mountville,34.3664,-81.9759 +Clearwater,33.5038,-81.91 +Six Mile,34.8082,-82.8154 +Luray,32.8142,-81.2403 +Ehrhardt,33.0985,-81.0138 +Mount Holly,33.0343,-80.0345 +Valley Falls,35.0073,-81.9692 +Kingstree,33.6664,-79.8292 +Johnsonville,33.8147,-79.4443 +Mount Croghan,34.7697,-80.2264 +Lane,33.5251,-79.8797 +Ridgeway,34.3066,-80.9601 +Denmark,33.3152,-81.1366 +Gloverville,33.5274,-81.8145 +Blackstock,34.5585,-81.1523 +Goose Creek,32.9922,-80.0052 +Ballentine,34.1243,-81.2373 +Edgefield,33.7871,-81.9292 +Landrum,35.1747,-82.185 +Bath,33.5046,-81.869 +Centerville,32.7341,-79.9687 +Sharon,34.952,-81.3436 +Inman,35.0469,-82.0914 +Ladson,33.0093,-80.1078 +Utica,34.6778,-82.925 +Woodfield,34.0587,-80.9309 +Lakewood,33.8429,-80.3492 +Blythewood,34.212,-80.9921 +Jordan,33.606,-80.209 +Summerville,33.0005,-80.1788 +Lugoff,34.2216,-80.6849 +Campobello,35.1224,-82.1495 +Pocalla Springs,33.8718,-80.3542 +Laurens,34.5019,-82.021 +Newry,34.724,-82.9141 +Horrel Hill,33.9518,-80.8426 +Lexington,33.9866,-81.222 +Plum Branch,33.8481,-82.2587 +Martin,33.069,-81.4765 +Hartsville,34.3679,-80.0829 +Neeses,33.5365,-81.1243 +Pamplico,33.9957,-79.5697 +Cades,33.7866,-79.7826 +India Hook,35.0142,-81.0377 +Elko,33.3808,-81.3805 +Wilkinson Heights,33.4919,-80.8286 +West Pelzer,34.645,-82.4736 +Arial,34.8462,-82.6404 +Edisto,33.4776,-80.8998 +Lyman,34.966,-82.123 +Fort Lawn,34.7003,-80.8991 +Lesslie,34.8856,-80.9541 +Sandy Springs,34.5954,-82.7499 +Pickens,34.8858,-82.7103 +Nixons Crossroads,33.8577,-78.6603 +Bluffton,32.2135,-80.9316 +Walhalla,34.7705,-83.0615 +Pineridge,33.9084,-81.0975 +Irmo,34.1015,-81.1953 +Wedgefield,33.8829,-80.5157 +Monticello,34.3526,-81.2984 +Gayle Mill,34.7022,-81.2392 +Marietta,35.021,-82.5015 +Nichols,34.2352,-79.1492 +Edgemoor,34.8057,-81.0115 +Bethera,33.2016,-79.7881 +Bamberg,33.2995,-81.0323 +Meriwether,33.6529,-82.1596 +Wateree,33.8071,-80.6373 +Eureka,33.694,-81.7671 +Parksville,33.7866,-82.2173 +Cokesbury,34.29,-82.2087 +Little Mountain,34.1969,-81.4126 +Mayesville,33.9849,-80.2044 +Sans Souci,34.8901,-82.4241 +Briarcliffe Acres,33.7899,-78.749 +Mullins,34.2043,-79.2535 +White Oak,34.4743,-81.1165 +Effingham,34.0579,-79.7531 +Boyden Arbor,34.024,-80.9456 +Garnett,32.6063,-81.2454 +Grays Hill,32.4935,-80.7423 +Calhoun Falls,34.0933,-82.5963 +Gaffney,35.0742,-81.6558 +Socastee,33.6871,-79.0086 +Liberty,34.7904,-82.6962 +Jefferson,34.6512,-80.3866 +Coronaca,34.2595,-82.0969 +Jamestown,33.2859,-79.6945 +Fort Mill,35.0062,-80.9388 +Gilbert,33.9245,-81.3928 +Scotia,32.6805,-81.2433 +Coosawhatchie,32.5888,-80.9273 +Welcome,34.8204,-82.46 +Boiling Springs,35.045,-81.9779 +Hilton Head Island,32.1896,-80.7499 +Pelion,33.7749,-81.2502 +Stateburg,33.9753,-80.5264 +Camden,34.2564,-80.6085 +Ward,33.8573,-81.7313 +Varnville,32.8521,-81.0802 +Pineville,33.4282,-80.0292 +Chappells,34.1799,-81.8668 +Miley,32.9479,-81.0318 +Greeleyville,33.5801,-79.9901 +Buffalo,34.7245,-81.6843 +Atlantic Beach,33.8035,-78.7177 +Clinton,34.4774,-81.864 +Batesburg-Leesville,33.9123,-81.5313 +Seabrook Island,32.5825,-80.1736 +Ridgeville,33.09,-80.3071 +Dorchester,33.1399,-80.3943 +Arcadia Lakes,34.0536,-80.9615 +Hickory Grove,34.9785,-81.4181 +Lowndesville,34.21,-82.6476 +Pawleys Island,33.427,-79.1245 +Heath Springs,34.5932,-80.675 +Homewood,33.8841,-79.0484 +Walterboro,32.9005,-80.6752 +Glendale,34.9451,-81.8364 +Morgana,33.6071,-82.0543 +Starr,34.3774,-82.6954 +Snelling,33.2416,-81.4622 +Jackson,33.3285,-81.7927 +Hollywood,32.7523,-80.2107 +North,33.6164,-81.1031 +Five Forks,34.8069,-82.2271 +Reevesville,33.2021,-80.6456 +Frogmore,32.3969,-80.5762 +Tradesville,34.7688,-80.547 +Startex,34.9308,-82.0942 +Eastover,33.8779,-80.6949 +Great Falls,34.5753,-80.9048 +Harleyville,33.2126,-80.4477 +Ridge Spring,33.8453,-81.6617 +Cummings,32.7871,-80.9904 +Orangeburg,33.4928,-80.8671 +Surfside Beach,33.6092,-78.9772 +Rockville,32.6024,-80.1935 +Patrick,34.5752,-80.0446 +Summit,33.9246,-81.4226 +Murphys Estates,33.6002,-81.9437 +Charleston,32.8137,-79.9643 +Burnettown,33.5186,-81.8634 +Aiken,33.5303,-81.727 +Salters,33.5985,-79.8515 +Gifford,32.86,-81.2385 +Toddville,33.7588,-79.0761 +Hendersonville,32.7907,-80.7254 +Shiloh,33.9461,-80.0208 +Burton,32.4241,-80.7453 +Floydale,34.3238,-79.3362 +Gresham,33.9302,-79.4112 +New Zion,33.8443,-80.0292 +Sumter,33.9392,-80.393 +Westminster,34.6657,-83.0911 +Dalzell,34.0189,-80.4299 +Williams,33.0341,-80.8429 +Van Wyck,34.8585,-80.8459 +Johns Island,32.7924,-80.1081 +Belton,34.5238,-82.4937 +Hodges,34.2876,-82.2479 +Allendale,33.008,-81.3092 +Newberry,34.2822,-81.6012 +Pinopolis,33.2287,-80.0386 +Pomaria,34.2681,-81.4196 +Winnsboro Mills,34.3561,-81.071 +Quinby,34.2282,-79.7358 +East Gaffney,35.0846,-81.6219 +McColl,34.6664,-79.5446 +Golden Grove,34.7324,-82.4408 +Pageland,34.772,-80.3897 +Trenton,33.7401,-81.8404 +Monetta,33.8497,-81.6097 +Saint George,33.186,-80.5794 +Myrtle Beach,33.7096,-78.8843 +West Union,34.7589,-83.0431 +Kiawah Island,32.6159,-80.0607 +Townville,34.5637,-82.8985 +Wagener,33.6521,-81.3636 +Lando,34.7763,-81.0101 +Norris,34.7661,-82.7525 +Union,34.7235,-81.6248 +Poston,33.8738,-79.4262 +Jacksonboro,32.7718,-80.477 +Ashton,33.016,-80.9707 +Powdersville,34.7827,-82.496 +Sullivans Island,32.7684,-79.8354 +Lake Secession,34.2821,-82.5908 +Sellers,34.2823,-79.4723 +Mont Clare,34.3968,-79.8212 +York,34.9968,-81.2348 +North Myrtle Beach,33.8228,-78.7093 +Cayce,33.9458,-81.0432 +Cowpens,35.0188,-81.8043 +McBee,34.467,-80.2571 +Homeland Park,34.4644,-82.6593 +Newport,34.9832,-81.0991 +Clemson,34.6838,-82.8124 +Oak Grove,33.7782,-80.9668 +Lockhart,34.7923,-81.4613 +Holly Hill,33.3245,-80.413 +Summerton,33.6013,-80.3527 +Moore,34.8335,-81.992 +Pauline,34.8332,-81.8723 +Laurel Bay,32.4602,-80.7864 +Moncks Corner,33.1715,-80.0122 +Fair Play,34.5077,-82.9863 +Marion,34.1787,-79.3965 +Darlington,34.3015,-79.8672 +Folly Beach,32.6693,-79.95 +Graves,33.3935,-79.3689 +Lake Wylie,35.0997,-81.0677 +Rains,34.0977,-79.3156 +Islandton,32.9093,-80.9359 +Society Hill,34.5098,-79.8539 +Anderson,34.5212,-82.6479 +Central,34.7234,-82.7789 +Bonneau,33.3081,-79.9573 +Lobeco,32.5527,-80.7434 +Pelzer,34.6433,-82.4588 +Vaucluse,33.6126,-81.8098 +Gadsden,33.848,-80.7663 +West Columbia,33.9925,-81.0919 +Lake View,34.3406,-79.1663 +Edisto Island,32.5602,-80.2798 +McClellanville,33.0865,-79.468 +Beaufort,32.4487,-80.7103 +North Charleston,32.9086,-80.0705 +Gluck,34.4521,-82.6668 +Wellford,34.9615,-82.0922 +Blacksburg,35.1221,-81.5182 +Olar,33.1799,-81.1854 +Mount Carmel,34.0185,-82.5044 +Hilda,33.274,-81.2466 +Epworth,34.0887,-82.0421 +Carlisle,34.5921,-81.4646 +Judson,34.8335,-82.4271 +Marlboro,34.5368,-79.7326 +Cornwell,34.6074,-81.1793 +Cross Anchor,34.644,-81.8585 +Slater,35.0318,-82.4951 +Isle of Palms,32.8043,-79.7552 +Cross Hill,34.3045,-81.9836 +Princeton,34.4912,-82.2957 +Pineland,32.6002,-81.1596 +Salley,33.5678,-81.3037 +Livingston,33.5533,-81.1199 +Pinewood,33.7396,-80.462 +Elloree,33.5301,-80.5713 +Smoaks,33.0895,-80.8142 +Fort Motte,33.739,-80.6926 +Boykin,34.1198,-80.5886 +Chesnee,35.1459,-81.8627 +Conway,33.8404,-79.0419 +Saint Stephen,33.4046,-79.9264 +Westville,34.4568,-80.599 +Salem,34.8879,-82.9752 +Cleveland,35.0723,-82.5273 +Aynor,34.0001,-79.2071 +Bennettsville,34.6303,-79.6874 +Simpsonville,34.7293,-82.2571 +Cherokee Falls,35.0649,-81.5423 +Millett,33.0813,-81.5357 +Fingerville,35.1351,-82.0003 +Horatio,34.0213,-80.5659 +Oakley,33.1241,-80.019 +Elliott,34.1071,-80.1637 +Cordova,33.4345,-80.9211 +Rimini,33.6693,-80.5004 +Georgetown,33.3594,-79.2959 +Warrenville,33.5461,-81.799 +Cope,33.3777,-81.0079 +Latta,34.339,-79.4337 +Woodruff,34.7397,-82.0323 +Lone Star,33.6254,-80.5895 +Garden City,33.5925,-79.0071 +Rion,34.3071,-81.1251 +Southern Shops,34.9846,-81.9934 +Timmonsville,34.1334,-79.9408 +Pee Dee,34.206,-79.5389 +Grover,33.1052,-80.5948 +Green Pond,32.7318,-80.6143 +Hampton,32.8676,-81.1092 +Oswego,34.0056,-80.2862 +Smyrna,35.042,-81.4094 +Shulerville,33.1874,-79.632 +Estill,32.7538,-81.2412 +Cheraw,34.6962,-79.9029 +Dunean,34.8204,-82.4224 +Williston,33.4018,-81.422 +Sheldon,32.6016,-80.7932 +Prosperity,34.2117,-81.5334 +Bishopville,34.2202,-80.2483 +Winnsboro,34.3718,-81.0907 +Canadys,33.0557,-80.6204 +Spartanburg,34.9437,-81.9257 +Privateer,33.8169,-80.3947 +Centenary,34.031,-79.3556 +Foreston,33.6318,-80.0617 +Langley,33.5121,-81.8343 +Tillman,32.4635,-81.1073 +Catawba,34.8464,-80.9061 +Tatum,34.6438,-79.5867 +Little River,33.8786,-78.6394 +Greenwood,34.1944,-82.1543 +Bowman,33.3483,-80.6844 +Blackville,33.3552,-81.2835 +Govan,33.2227,-81.1748 +Paxville,33.739,-80.3586 +Ridgeland,32.4681,-80.9178 +Shelton,34.4974,-81.4201 +Roebuck,34.8788,-81.9646 +Bradley,34.0391,-82.2436 +Troy,33.988,-82.2974 +Hanahan,32.9303,-80.0031 +Kirksey,34.0312,-82.0415 +Rock Hill,34.9413,-81.025 +Perry,33.6276,-81.3086 +Edisto Beach,32.4922,-80.3239 +Santee,33.4802,-80.4852 +Chapin,34.1645,-81.3449 +Galivants Ferry,34.0563,-79.2464 +Fairforest,34.9532,-82.0157 +Blenheim,34.5098,-79.6525 +Enoree,34.6593,-81.9609 +Riverview,35.0108,-80.9843 +Swansea,33.7396,-81.1052 +Piedmont,34.7074,-82.4651 +Nesmith,33.6591,-79.5134 +Due West,34.3335,-82.3886 +Ravenel,32.7768,-80.2272 +Furman,32.6812,-81.1877 +Ruby,34.7461,-80.1799 +Lynchburg,34.06,-80.077 +Silverstreet,34.2177,-81.7146 +Sycamore,33.0362,-81.2223 +Reidville,34.866,-82.105 +Woodford,33.6687,-81.1119 +Chester,34.705,-81.2132 +Gantt,34.7837,-82.4027 +Daufuskie Landing,32.1044,-80.8854 +Lincolnville,33.0079,-80.156 +Seneca,34.6816,-82.9609 +Alvin,33.3491,-79.8162 +Gaston,33.818,-81.0997 +Bucksport,33.6707,-79.1102 +Jenkinsville,34.3129,-81.2874 +Inman Mills,35.041,-82.1021 +Port Royal,32.3579,-80.7047 +South Sumter,33.8855,-80.3378 +Cameron,33.558,-80.715 +Clio,34.5791,-79.5461 +Saluda,34.0009,-81.7713 +Wallace,34.7201,-79.8479 +Greenville,34.8363,-82.365 +Lowrys,34.804,-81.2372 +Fountain Inn,34.6991,-82.1994 +Saxon,34.9615,-81.9713 +East Sumter,33.9261,-80.295 +Duncan,34.937,-82.1404 +Eutawville,33.3978,-80.3429 +South Congaree,33.9094,-81.1375 +Lydia,34.2866,-80.1185 +Meggett,32.6971,-80.2731 +Peak,34.2364,-81.3295 +Forest Acres,34.0322,-80.9717 +Abbeville,34.1787,-82.3774 +Montmorenci,33.5279,-81.6365 +Kinards,34.3804,-81.7773 +Little Rock,34.4766,-79.4031 +Saint Andrews,32.7818,-79.9851 +Olanta,33.9357,-79.932 +Red Hill,33.7779,-79.0112 +Forestbrook,33.7242,-78.9678 +Johnston,33.8327,-81.8051 +North Augusta,33.5213,-81.9548 +Cassatt,34.3646,-80.4359 +Iva,34.307,-82.6636 +Tega Cay,35.039,-81.0112 +Joanna,34.4149,-81.8086 +Berea,34.8802,-82.4653 +Alcolu,33.7547,-80.2221 +Florence,34.1785,-79.7857 +Lancaster,34.7247,-80.7802 +Willington,33.9687,-82.4576 +Saint Matthews,33.664,-80.778 +Clarks Hill,33.6582,-82.166 +Mauldin,34.7864,-82.2996 +Springdale,33.9616,-81.1118 +Wisacky,34.1482,-80.1934 +Cross,33.3274,-80.1484 +Kershaw,34.5443,-80.5866 +Taylors,34.9157,-82.3124 +Springfield,33.4967,-81.2795 +Saint Charles,34.0665,-80.2181 +Mayo,35.0857,-81.8535 +Converse,34.9939,-81.8421 +Mulberry,33.9565,-80.3315 +Northlake,34.5691,-82.6837 +Andrews,33.4494,-79.5659 +Brunson,32.9242,-81.1886 +Brookdale,33.5183,-80.8333 +McCormick,33.9129,-82.2876 +Plantersville,33.5554,-79.2153 +Pacolet,34.9033,-81.7628 +Early Branch,32.7457,-80.9279 +Ware Place,34.6266,-82.3881 +City View,34.862,-82.4249 +Cherryvale,33.9543,-80.4609 +Murrells Inlet,33.5561,-79.059 +Rembert,34.1037,-80.5305 +Branchville,33.2516,-80.8161 +Travelers Rest,34.9684,-82.4417 +Hemingway,33.7535,-79.4462 +Clifton,34.9846,-81.8222 +Graniteville,33.5646,-81.8079 +Easley,34.819,-82.5828 +Honea Path,34.4476,-82.395 +Oakland,33.9868,-80.4972 +Haldeman,38.2529,-83.3185 +Glenview Manor,38.2907,-85.6333 +Avawam,37.2245,-83.2752 +Cloverport,37.8312,-86.6304 +Lynn Grove,36.5892,-88.4381 +Dundee,37.5589,-86.7728 +Wayland,37.451,-82.7994 +Salt Lick,38.1193,-83.6156 +Crestwood,38.3355,-85.4839 +Pride,37.5584,-87.8909 +Newtown,38.2204,-84.4699 +Corbin,36.932,-84.1003 +Dawson Springs,37.174,-87.688 +Lakeside Park,39.0338,-84.5675 +Science Hill,37.174,-84.6329 +White Tower,38.9251,-84.5133 +Falmouth,38.6708,-84.3311 +Allen City,37.6119,-82.7291 +Weir,37.1231,-87.2125 +Tompkinsville,36.7012,-85.6927 +Union,38.9472,-84.6731 +Kingsley,38.2219,-85.6726 +Argo,37.4807,-82.0632 +Muldraugh,37.9365,-85.9915 +Jeffersontown,38.2052,-85.57 +Talbert,37.4215,-83.4585 +Taylor Mill,39.0092,-84.4988 +Cumberland City,36.8051,-85.0683 +Moon,37.9734,-83.0488 +Leatherwood,37.0329,-83.1724 +Radcliff,37.8205,-85.9366 +South Wallins,36.8153,-83.4045 +Meadow Vale,38.2831,-85.5727 +Wallins Creek,36.8297,-83.4174 +Cawood,36.7878,-83.2284 +Lynnville,36.5603,-88.5692 +Wildwood,38.249,-85.5747 +Westbend,37.9059,-83.9691 +Burnside,37.011,-84.653 +Chaplin,37.8996,-85.2195 +Ulysses,37.9459,-82.6735 +Lisman,37.4662,-87.7342 +Paw Paw,37.4376,-82.1107 +Helton,36.954,-83.3907 +Edmonton,36.9841,-85.6188 +Beaumont,36.8756,-85.6519 +Colfax,38.2126,-83.6341 +Kirkmansville,37.01,-87.2425 +Millstone,37.1638,-82.7493 +Sonora,37.5319,-85.8947 +Briarwood,38.278,-85.5926 +Kevil,37.0842,-88.8829 +Sunrise,38.5426,-84.2366 +Hobson,37.4256,-85.3689 +Turkey,37.4793,-83.5077 +Blue Ridge Manor,38.2434,-85.5647 +Grassy Creek,37.867,-83.3452 +Flaherty,37.8365,-86.0655 +Winchester,38.0014,-84.1907 +Valeria,37.8301,-83.5166 +Hodgenville,37.5668,-85.7353 +Bowling Green,36.9721,-86.4367 +Moorland,38.2728,-85.58 +Paint Lick,37.6167,-84.4094 +Fonde,36.5942,-83.8774 +Burlington,39.0223,-84.7216 +Flat Lick,36.8353,-83.7598 +Webbville,38.1795,-82.8713 +Somerset,37.0815,-84.6089 +Mannington,37.12,-87.4875 +Worthville,38.6098,-85.0681 +Hollyvilla,38.0929,-85.7467 +Brooksville,38.6818,-84.0666 +Sherman,38.7326,-84.5966 +Saint Mary,37.5806,-85.3464 +Drip Rock,37.5751,-83.9735 +Chilton,37.4551,-84.9875 +Pryorsburg,36.6899,-88.7124 +Reed,37.8512,-87.3542 +Ferguson,37.0629,-84.5922 +Wilder,39.04,-84.4816 +Silverhill,37.8823,-83.0491 +Niagara,37.7209,-87.4864 +Galveston,37.4401,-82.6288 +Barlow,37.0512,-89.0446 +Old Brownsboro Place,38.2892,-85.6132 +Rush,38.3354,-82.7816 +Cunningham,36.9081,-88.8867 +Cane Valley,37.1803,-85.3197 +Canmer,37.2903,-85.7672 +Calvary,37.5156,-85.2625 +Windy Hills,38.2702,-85.6378 +Berry,38.5205,-84.3836 +Cerulean,36.9551,-87.7089 +Columbia,37.1036,-85.3074 +Oak Level,36.867,-88.4656 +Ligon,37.3704,-82.6727 +Buckner,38.3867,-85.4503 +Verona,38.8122,-84.6649 +Cedarville,37.3254,-82.3274 +Beaver Dam,37.4044,-86.8742 +Stringtown,39.0812,-84.6461 +Fort Thomas,39.0804,-84.4497 +Eddyville,37.0759,-88.0769 +Athertonville,37.6356,-85.6041 +Mackville,37.7355,-85.0701 +Wheatley,38.6134,-84.9769 +Grayson,38.3317,-82.9371 +Greendale,38.1059,-84.5255 +Kenton Vale,39.0514,-84.5199 +Dan,37.9554,-83.4596 +North Middletown,38.1426,-84.1102 +Dexter,36.7396,-88.2956 +Mortons Gap,37.2403,-87.4667 +Pendleton,38.4623,-85.3036 +Magnolia,37.4502,-85.74 +Glenview Hills,38.2951,-85.6382 +Richmond,37.7241,-84.2928 +Providence,37.3993,-87.7509 +Louisville,38.1662,-85.6488 +Shopville,37.1587,-84.4799 +Heritage Creek,38.0952,-85.6125 +Cumberland,36.9824,-82.9919 +Sanders,38.655,-84.9466 +Columbus,36.7596,-89.102 +Spottsville,37.8564,-87.4167 +Walton,38.8645,-84.6122 +Middletown,38.241,-85.5216 +Ensor,37.7892,-86.9805 +Guthrie,36.6484,-87.1738 +Sitka,37.8806,-82.8382 +Fritz,37.7015,-83.1516 +Daysville,36.8023,-87.0669 +Irvine,37.6969,-83.9685 +Junction City,37.5857,-84.7902 +Tilden,37.6042,-87.7103 +Kenvir,36.8531,-83.1538 +Gasper,36.95,-86.7419 +Glencoe,38.7252,-84.8239 +Spring Mill,38.1436,-85.6315 +Hopkinsville,36.8381,-87.4777 +Smiths Grove,37.0503,-86.2083 +Olmstead,36.7523,-87.015 +Hopeful Heights,39.0012,-84.6577 +Emerson,38.354,-83.2524 +West Liberty,37.9161,-83.2667 +Colson,37.224,-82.8563 +Freeburn,37.5619,-82.1514 +Goose Creek,38.2934,-85.5906 +Wilmore,37.8786,-84.6545 +Coldstream,38.3144,-85.5264 +Monterey,38.4233,-84.8728 +Valley View,37.8462,-84.4305 +Fredonia,37.2085,-88.0603 +Betsy Layne,37.5541,-82.6262 +Sprout,38.302,-83.8866 +Lebanon,37.5685,-85.258 +Thousandsticks,37.1851,-83.4288 +Petersville,38.4442,-83.4905 +Dingus,37.9081,-83.1021 +Brodhead,37.4027,-84.4144 +Wonnie,37.8093,-83.1541 +Nevada,37.6965,-84.9097 +Mortonsville,37.972,-84.7563 +Mount Hermon,36.8067,-85.8208 +Hill Top,38.3604,-83.8391 +Livermore,37.4919,-87.1342 +Cannel City,37.7901,-83.2741 +Herndon,36.7337,-87.5653 +Calhoun,37.5411,-87.2595 +Whitesburg,37.1182,-82.8231 +Horse Cave,37.1746,-85.9144 +Utica,37.6028,-87.1126 +Francisville,39.1067,-84.7277 +McDowell,37.459,-82.734 +Glasgow,37.0048,-85.9262 +Arjay,36.806,-83.6421 +Nortonville,37.186,-87.4556 +Evarts,36.8645,-83.1926 +Phelps,37.509,-82.1605 +Sharpsburg,38.2016,-83.9279 +West Louisville,37.6967,-87.2869 +Hawesville,37.8961,-86.7561 +Frances,37.2198,-88.1411 +Ottusville,38.3228,-84.8955 +Hartford,37.4506,-86.893 +Falcon,37.7898,-83.0018 +Pine Knot,36.6648,-84.4395 +Cave City,37.14,-85.9647 +Ryland Heights,38.9701,-84.4607 +Lowes,36.8828,-88.7706 +Fort Mitchell,39.0459,-84.5563 +Lucas,36.8917,-86.0375 +Guage,37.5962,-83.1971 +Bellefonte,38.4949,-82.6911 +Gulnare,37.6304,-82.5468 +Buckhorn,37.3462,-83.4691 +Martin,37.567,-82.7602 +Kelly,36.9706,-87.4769 +Crutchfield,36.5767,-88.9353 +Chavies,37.3479,-83.3563 +Jonestown,37.977,-84.4966 +Keavy,37.0037,-84.161 +Crofton,37.0477,-87.4842 +Beaverlick,38.879,-84.6944 +Horse Branch,37.4559,-86.6767 +Rineyville,37.7502,-85.9703 +Beechwood Village,38.2555,-85.6295 +Wickliffe,36.9658,-89.0822 +Newport,39.0855,-84.4869 +Dizney,36.8529,-83.1166 +McKinney,37.453,-84.7579 +Northfield,38.2857,-85.6362 +Manchester,37.1464,-83.7635 +Strathmoor Manor,38.219,-85.6836 +Upton,37.4626,-85.899 +Richlawn,38.2547,-85.6412 +Arlington,36.7903,-89.0132 +Kimper,37.497,-82.3504 +Mount Eden,38.0562,-85.1511 +Milltown,37.1223,-85.4075 +Barbourville,36.8667,-83.885 +Covington,39.0334,-84.5166 +Dixon,37.5132,-87.6961 +Jonesville,38.6398,-84.7755 +Gatliff,36.6818,-84.0263 +Pike View,37.3795,-85.753 +Dunmor,37.0753,-86.9951 +Smithfield,38.3864,-85.2566 +Dry Ridge,38.6837,-84.6006 +Norbourne Estates,38.2466,-85.6465 +Waverly,37.7091,-87.8147 +Belfry,37.6194,-82.2684 +Cecilia,37.6622,-85.9524 +Coletown,37.929,-84.4422 +Burna,37.2456,-88.3589 +Beechburg,38.4467,-83.6402 +Manor Creek,38.2981,-85.5873 +Monticello,36.8404,-84.8506 +Brooks,38.0661,-85.7176 +Midway,38.1536,-84.6784 +Cherokee,38.0776,-82.8377 +South Shore,38.7224,-82.9647 +Grand Rivers,37.005,-88.233 +Camargo,37.997,-83.8926 +Panco,37.2373,-83.5335 +Carrollton,38.68,-85.1655 +Avon,38.0717,-84.3185 +Harrodsburg,37.7654,-84.8474 +Leesburg,38.2945,-84.4183 +Goshen,38.4027,-85.5825 +Shepherdsville,37.9806,-85.6999 +Hickory,36.8174,-88.6485 +White Oak,37.8584,-83.2021 +Elihu,37.0465,-84.5922 +Morrill,37.5193,-84.1974 +Beechwood,38.4123,-84.7461 +Raceland,38.5376,-82.7343 +Diablock,37.2296,-83.1709 +Augusta,38.7723,-84.0002 +Uniontown,37.7732,-87.9318 +Rome,37.7212,-87.1808 +East Bernstadt,37.1923,-84.1209 +Glenville,37.5945,-87.1934 +Centertown,37.4177,-86.9959 +Lovelaceville,36.9672,-88.8335 +Emlyn,36.7023,-84.1418 +Phillipsburg,37.4565,-85.26 +Pathfork,36.7595,-83.4711 +York,38.5656,-83.0463 +Mozelle,37.0026,-83.398 +Munfordville,37.2795,-85.8982 +Kuttawa,37.0593,-88.115 +Glenview,38.302,-85.6519 +Bancroft,38.2832,-85.613 +Hickman,36.565,-89.1836 +Freemont,36.9728,-88.612 +Charters,38.5737,-83.4332 +Mooleyville,38.0212,-86.4639 +Elkton,36.8135,-87.1612 +Flatwoods,38.521,-82.7194 +Lebanon Junction,37.8358,-85.7243 +Frankfort,38.1924,-84.8644 +Stanley,37.8234,-87.2439 +Sublett,37.6776,-83.0374 +Johnetta,37.4156,-84.1919 +South Carrollton,37.3358,-87.1401 +Willard,38.2118,-82.8971 +Rich Pond,36.8942,-86.5094 +Liberty,37.3206,-84.9286 +Belton,37.16,-87.0283 +Petersburg,39.0533,-84.8574 +Owensboro,37.7575,-87.1172 +Jamestown,36.9895,-85.0662 +Hiseville,37.1008,-85.8149 +Elrod,37.2192,-84.4694 +Crestview Hills,39.0249,-84.5695 +Millersburg,38.3041,-84.145 +Broeck Pointe,38.2955,-85.5856 +Seneca Gardens,38.2272,-85.6772 +Lee City,37.7393,-83.333 +Stanton,37.8475,-83.8572 +Bank Lick,38.9098,-84.5797 +Fearisville,38.6256,-83.598 +Maryhill Estates,38.2664,-85.6533 +Pineville,36.7539,-83.7086 +Cranston,38.2634,-83.4355 +Shipley,36.6673,-85.2177 +Wingo,36.6422,-88.7396 +Nazareth,37.8481,-85.4727 +Smithland,37.1387,-88.4038 +Slaughters,37.4902,-87.5022 +Lenoxburg,38.7426,-84.2249 +Nina,37.664,-84.4663 +Alva,36.7351,-83.4244 +Cool Springs,37.2934,-86.8819 +Allensville,36.7159,-87.0669 +Prestonville,38.6805,-85.1932 +Buffalo,37.5081,-85.6992 +Campbellsville,37.3446,-85.3512 +Cambridge,38.2217,-85.6172 +Clinton,36.6662,-88.9939 +Boston,37.7839,-85.6803 +Pine Grove,38.002,-84.3158 +Middleton,36.7509,-86.7347 +Hollow Creek,38.1527,-85.6243 +Wheeler,36.7254,-83.843 +Cooper,36.7712,-84.8613 +Cardwell,37.8242,-85.0341 +Panther,37.64,-87.225 +Waddy,38.137,-85.0744 +Combs,37.2684,-83.2148 +Lakeview Heights,38.152,-83.5043 +Symsonia,36.9211,-88.5227 +Eubank,37.2799,-84.6541 +Earlington,37.2755,-87.5065 +Watterson Park,38.189,-85.6865 +Rochester,37.2093,-86.8921 +Lamasco,36.9862,-87.9361 +Flatgap,37.9343,-82.8874 +Wheelwright,37.3392,-82.7186 +Minerva,38.7054,-83.9191 +Cold Spring,39.0131,-84.435 +Myers,38.3509,-83.9533 +Raywick,37.5606,-85.4311 +Highland Heights,39.0354,-84.4567 +Poplar Hills,38.178,-85.6931 +Hardinsburg,37.7755,-86.4536 +Cundiff,36.9448,-85.2544 +Audubon Park,38.205,-85.727 +Hanson,37.4184,-87.4808 +Wolf Creek,38.1028,-86.3897 +Crayne,37.2763,-88.0839 +Oakdale,37.0359,-88.567 +McDaniels,37.6067,-86.425 +Clarkson,37.4937,-86.2259 +Versailles,38.0488,-84.726 +Vaughns Mill,37.8131,-83.9166 +Elizaville,38.4167,-83.8243 +Creekside,38.2914,-85.5701 +Summit,37.5689,-86.0811 +Gray Hawk,37.3951,-83.9402 +Lynnview,38.1791,-85.7112 +Garlin,37.114,-85.2522 +Wheatcroft,37.4893,-87.8612 +Vine Grove,37.813,-85.9827 +Bruin,38.1879,-83.0188 +Mayking,37.1335,-82.773 +Vicco,37.2161,-83.0609 +Concord,38.6876,-83.4915 +Bellewood,38.2608,-85.6594 +Russell Springs,37.051,-85.0774 +Auburn,36.8654,-86.7107 +Oldtown,38.4404,-82.8982 +Hustonville,37.4784,-84.815 +Concordia,38.059,-86.428 +Fletcher,37.0051,-83.9702 +Benham,36.9653,-82.9548 +Crittenden,38.7754,-84.6137 +Sutherland,37.67,-87.1211 +Spring Valley,38.2968,-85.6108 +Mammoth Cave,37.1862,-86.1 +Thornhill,38.2884,-85.6256 +Colmar,36.6659,-83.6519 +Ezel,37.892,-83.4446 +Pioneer Village,38.0599,-85.68 +Summer Shade,36.8837,-85.7098 +Farmington,36.6692,-88.5278 +Pleasureville,38.351,-85.1121 +Jonancy,37.3165,-82.5829 +New Hope,37.6279,-85.5067 +Yosemite,37.3467,-84.8247 +Field,36.8929,-83.6021 +Robinson,38.4912,-84.3483 +Danville,37.642,-84.7769 +Cropper,38.3123,-85.1133 +Bandana,37.1447,-88.9418 +Carntown,38.8381,-84.241 +Hinton,38.4573,-84.5294 +Crider,37.1573,-87.9745 +Hendron,37.0346,-88.6437 +Edgewood,39.0091,-84.5604 +Lincolnshire,38.2238,-85.6216 +Alton,38.089,-84.935 +Moreland,37.5056,-84.8133 +Morehead,38.1906,-83.4466 +Erlanger,39.0108,-84.5862 +Gradyville,37.0634,-85.4225 +River Bluff,38.372,-85.604 +Ten Broeck,38.2976,-85.5806 +Langley,37.5318,-82.7907 +Devon,38.969,-84.6158 +Peaks Mill,38.2984,-84.8124 +Hall,37.784,-84.6169 +Elk Horn,37.3165,-85.2852 +Rolling Fields,38.2689,-85.6708 +Perryville,37.6494,-84.9513 +Pierce,37.1864,-85.6077 +Hardin,36.7652,-88.3023 +Knifley,37.2428,-85.1894 +Bee Spring,37.2895,-86.2847 +Sycamore,38.2468,-85.5612 +Benton,36.8512,-88.3594 +Ludlow,39.0904,-84.5498 +Heath,37.0867,-88.7901 +Boone,37.5176,-84.3166 +Whitesville,37.6831,-86.8698 +Sedalia,36.6438,-88.6049 +Crab Orchard,37.4627,-84.5067 +Sebree,37.604,-87.5187 +Sandgap,37.4862,-84.0905 +Mountain Valley,37.6615,-83.2688 +Grays Branch,38.6534,-82.8752 +Trenton,36.7224,-87.2626 +Rabbit Hash,38.9239,-84.8503 +Speight,37.2751,-82.6874 +Baskett,37.8709,-87.4625 +Kingston,37.6504,-84.2416 +Union City,37.7973,-84.1977 +McVeigh,37.5384,-82.256 +Ekron,37.9302,-86.1765 +Mattoxtown,38.1273,-84.4502 +Bradfordsville,37.4943,-85.1483 +Farristown,37.6226,-84.3002 +Worthington,38.5509,-82.7348 +Halfway,36.7956,-86.2961 +Loyall,36.8527,-83.3506 +Lola,37.3187,-88.3078 +Eolia,37.0537,-82.7915 +Lair,38.342,-84.3077 +Paris,38.2015,-84.2717 +Vancleve,37.6276,-83.4135 +Glen Dean,37.6534,-86.5411 +Paintsville,37.8167,-82.8089 +Steubenville,36.8876,-84.8027 +Hunters Hollow,38.0784,-85.6934 +Woodlawn Park,38.2615,-85.6308 +Hebron Estates,38.0501,-85.6682 +South Williamson,37.6633,-82.2879 +Royville,37.0667,-85.1058 +Dunnville,37.2001,-85.01 +Henderson,37.8405,-87.5788 +Blandville,36.9441,-88.9646 +Sacramento,37.416,-87.2678 +Rectorville,38.5765,-83.646 +Lyndon,38.2644,-85.5891 +Adairville,36.671,-86.856 +Beulah,37.2714,-87.6842 +Graymoor-Devondale,38.2733,-85.6177 +Middlesboro,36.6084,-83.7166 +Hills and Dales,38.3005,-85.6249 +Masonville,37.6718,-87.0511 +Morgantown,37.2173,-86.7001 +Cayce,36.5577,-89.0349 +Bedford,38.5953,-85.3176 +Epleys,36.927,-86.9386 +Paducah,37.0711,-88.6436 +Smith,36.7359,-83.2593 +Millville,38.137,-84.8219 +Dublin,36.7253,-88.8023 +Lexington,38.0423,-84.4587 +Oneida,37.2701,-83.6496 +Stella,36.6403,-88.3967 +Finchville,38.1537,-85.3127 +Mentor,38.8902,-84.2483 +Hollyhill,36.6631,-84.3302 +Briensburg,36.9037,-88.3236 +Oak Grove,36.6686,-87.4216 +Forest Hills,38.2158,-85.5837 +Rockholds,36.8308,-84.1131 +Keene,37.9434,-84.6419 +Olympia,38.0981,-83.6957 +Meadowbrook Farm,38.2782,-85.5748 +Onton,37.5579,-87.4371 +Shawhan,38.3017,-84.2724 +Allegre,36.9287,-87.2172 +Sullivan,37.4975,-87.9453 +Jeff,37.2093,-83.1395 +Artemus,36.8352,-83.8414 +Visalia,38.9162,-84.4491 +Colesburg,37.7848,-85.7738 +Marion,37.3321,-88.0795 +Rockport,37.3359,-86.9909 +Blairs Mills,38.0829,-83.2918 +Ryland,38.9387,-84.4691 +Shelbyville,38.2059,-85.2305 +Pellville,37.7523,-86.8136 +White Plains,37.1708,-87.3801 +Brownsboro Village,38.2629,-85.6659 +Burning Springs,37.2493,-83.8213 +Closplint,36.904,-83.0688 +Jackson,37.5589,-83.3782 +Campton,37.7353,-83.5473 +Sparta,38.6969,-84.9073 +Decoy,37.4957,-83.0941 +Sharpe,36.9687,-88.4584 +Nicholasville,37.89,-84.567 +Williamstown,38.6415,-84.5676 +Henshaw,37.6217,-88.0556 +Powderly,37.2375,-87.1588 +Massac,37.0335,-88.6859 +Butler,38.7877,-84.372 +Jenkins,37.1831,-82.6302 +Elkatawa,37.557,-83.4268 +Patesville,37.782,-86.7189 +Grove Center,37.6398,-88.0131 +Saxton,36.6337,-84.1099 +Fincastle,38.3082,-85.5414 +Taylorsville,38.0368,-85.3336 +Owenton,38.5386,-84.8409 +Summersville,37.3265,-85.543 +Aurora,36.7767,-88.1442 +Bonnieville,37.3776,-85.9011 +Howardstown,37.5723,-85.5919 +Green Spring,38.3163,-85.6137 +Saint John,37.6984,-85.9664 +Bernstadt,37.1562,-84.1947 +Druid Hills,38.2649,-85.6617 +Clay City,37.8623,-83.9278 +Idlewild,39.0776,-84.7949 +Barbourmeade,38.2986,-85.6009 +Cadiz,36.8696,-87.8048 +Owingsville,38.1364,-83.7603 +La Center,37.0749,-88.9748 +Threelinks,37.4679,-84.1894 +Loretto,37.6351,-85.3985 +Gracey,36.8792,-87.6638 +Rosine,37.4523,-86.7373 +Stamping Ground,38.2697,-84.6828 +Fallsburg,38.1751,-82.6735 +Fulton,36.5145,-88.8819 +Carver,37.6412,-83.0502 +Lewisport,37.931,-86.9027 +Gilpin,37.2567,-84.8819 +Sugar Grove,37.09,-86.665 +Frenchburg,37.9542,-83.6226 +Fox Chase,38.0459,-85.6911 +Fordsville,37.6356,-86.7171 +Irvington,37.8779,-86.2846 +Willisburg,37.8092,-85.1208 +Richardsville,37.1048,-86.4708 +Aberdeen,37.2539,-86.6817 +Livia,37.5709,-87.1044 +Pleasant View,36.6781,-84.1284 +Carlisle,38.3162,-84.0333 +La Grange,38.3987,-85.375 +Mount Olivet,38.5317,-84.0358 +Nebo,37.3832,-87.6416 +Clay,37.4762,-87.8203 +Battletown,38.064,-86.2939 +Oneonta,38.9751,-84.3016 +Brownsboro Farm,38.304,-85.5946 +Cobb,36.9903,-87.7789 +Wax,37.3542,-86.1222 +McHenry,37.3794,-86.9226 +Slade,37.7951,-83.7041 +Coxton,36.8581,-83.2681 +Slemp,37.0787,-83.1116 +Riley,37.5595,-85.0988 +Beda,37.5078,-86.9494 +Camp Springs,39.002,-84.3647 +Sadieville,38.3881,-84.5494 +Bagdad,38.2623,-85.0577 +Dorton,37.2768,-82.579 +Blackford,37.4484,-87.9347 +Hargis,36.9651,-84.4902 +Leitchfield,37.4863,-86.2857 +Creelsboro,36.8851,-85.1975 +Brooklyn,37.2898,-86.5764 +Samuels,37.8828,-85.5333 +California,38.9186,-84.2635 +Lynch,36.9641,-82.9139 +Anton,37.352,-87.3947 +Ritchie,37.3115,-83.0835 +Reidland,37.0085,-88.5261 +Germantown,38.6559,-83.9643 +Adams,38.0545,-82.7077 +Princeton,37.1068,-87.8853 +Fort Wright,39.0462,-84.5362 +Wellington,38.2168,-85.6702 +Corinth,38.4997,-84.6031 +Lake,37.0895,-83.8855 +High Bridge,37.8299,-84.7096 +Mayfield,36.7361,-88.6448 +McRoberts,37.2132,-82.6686 +Tiline,37.1726,-88.2445 +Norwood,38.2521,-85.6107 +Breckinridge Center,37.682,-87.8657 +Ledbetter,37.052,-88.4964 +Riceville,37.7345,-82.9243 +Lost Creek,37.4818,-83.3252 +Murray Hill,38.2907,-85.5871 +Cannonsburg,38.3806,-82.7006 +Van Lear,37.7712,-82.7579 +Conway,37.4779,-84.3344 +Vanceburg,38.5939,-83.3212 +South Fork,37.4095,-84.738 +Halls Gap,37.462,-84.6333 +Garner,37.3582,-82.9252 +Orchard Grass Hills,38.3234,-85.5236 +Mockingbird Valley,38.2701,-85.6816 +Heidrick,36.8826,-83.8785 +Park City,37.0934,-86.0486 +Hindman,37.335,-82.9819 +Zag,37.9868,-83.3649 +Trent,37.772,-83.4613 +Eminence,38.3637,-85.1779 +McQuady,37.7084,-86.5189 +Warfield,37.8416,-82.4223 +Simpsonville,38.2167,-85.3514 +Bullittsville,39.0753,-84.7386 +Primrose,37.6023,-83.6085 +Ravenna,37.6871,-83.9502 +Oakbrook,38.9996,-84.6795 +Athens,37.9492,-84.3641 +Bewleyville,37.8401,-86.2444 +Plantation,38.2834,-85.5939 +Westport,38.4873,-85.4753 +Payne Gap,37.1509,-82.667 +Viola,36.8556,-88.6414 +Corydon,37.7403,-87.7063 +Jessietown,37.4809,-85.325 +Elsmere,38.9949,-84.6017 +Georgetown,38.2253,-84.5481 +Casky,36.817,-87.4322 +Huntsville,37.1634,-86.8817 +North Corbin,36.9649,-84.0973 +Doe Valley,37.9745,-86.1107 +Van Buren,37.9745,-85.1652 +Claryville,38.9141,-84.4103 +Hillsboro,38.2934,-83.6588 +Vortex,37.6973,-83.5271 +Houston Acres,38.2147,-85.6142 +LaFayette,36.6599,-87.6583 +Fairview,38.9975,-84.4856 +Birdsville,37.2212,-88.4481 +Island,37.4433,-87.1474 +Oxford,38.2684,-84.503 +Plano,36.8772,-86.4165 +Tolu,37.4338,-88.2452 +Park Hills,39.0691,-84.5312 +Booneville,37.4717,-83.6837 +Oakton,36.6634,-89.0673 +Wurtland,38.5495,-82.7788 +Pembroke,36.7752,-87.358 +Anchorage,38.2689,-85.5363 +Almo,36.6948,-88.2784 +Crossgate,38.2793,-85.6296 +Plum Springs,37.0197,-86.3823 +Nancy,37.0717,-84.748 +Glendale,37.6017,-85.9055 +Garrison,38.6075,-83.1833 +Crescent Park,39.0434,-84.5741 +Langdon Place,38.2864,-85.5855 +Carter,38.429,-83.1207 +Springlake,38.9951,-84.4649 +Fox Creek,37.9879,-84.968 +Ashland,38.4592,-82.6449 +Fancy Farm,36.8003,-88.7928 +Sunnybrook,36.6578,-84.9758 +Burgin,37.7544,-84.7632 +Hillview,38.0554,-85.6847 +Madisonville,37.341,-87.5033 +Albany,36.6906,-85.1353 +Mount Sterling,38.0647,-83.9473 +Auxier,37.7356,-82.7661 +Russell,38.5116,-82.6995 +Elk Creek,38.117,-85.3722 +Long Ridge,38.5873,-84.8236 +Williamsburg,36.7392,-84.1647 +Bremen,37.3623,-87.22 +Taylorsport,39.0998,-84.6933 +Pippa Passes,37.3342,-82.8733 +Big Clifty,37.5441,-86.1514 +Poindexter,38.437,-84.3083 +Clay Village,38.1926,-85.1072 +Sturgis,37.5465,-87.9878 +Cowan,38.4073,-83.8919 +Milford,38.5817,-84.1566 +Narrows,37.5673,-86.73 +Bellevue,39.101,-84.4776 +Ewing,38.4278,-83.8618 +Custer,37.7384,-86.2547 +Gratz,38.4718,-84.947 +Richwood,38.9206,-84.6249 +Kirkwood,37.9165,-84.9233 +Hickory Hill,38.2877,-85.5679 +Calvert City,37.0295,-88.3603 +Mays Lick,38.5169,-83.8452 +Rolling Hills,38.2825,-85.5784 +Riverwood,38.2831,-85.6615 +Greenwood,36.8745,-84.4955 +Villa Hills,39.0638,-84.5947 +Annville,37.3255,-83.9622 +Lackey,37.4684,-82.8288 +Fullerton,38.7217,-82.9818 +Coldiron,36.8282,-83.4519 +Flemingsburg,38.4236,-83.7372 +Sardis,38.5348,-83.9573 +Salyersville,37.7459,-83.0646 +Knob Lick,37.0784,-85.6944 +Hyden,37.162,-83.3779 +Big Spring,37.7992,-86.1522 +Silver Grove,39.0404,-84.3995 +Alexandria,38.9622,-84.386 +Lawrenceburg,38.0332,-84.9032 +Meldrum,36.667,-83.6941 +Hardyville,37.2534,-85.7896 +Belmont,37.8965,-85.7136 +Bloomfield,37.9122,-85.314 +Scottsville,36.7493,-86.1966 +McKee,37.4303,-83.9869 +Old Washington,38.6159,-83.8085 +Gamaliel,36.6401,-85.7962 +Majestic,37.534,-82.0999 +Westwood,38.2796,-85.5842 +Kirksey,36.6987,-88.3953 +Alvaton,36.8734,-86.353 +Memphis Junction,36.9423,-86.4892 +Strathmoor Village,38.2208,-85.6778 +Hoskinston,37.0773,-83.3916 +Clifty,36.9953,-87.1478 +Brandenburg,37.9955,-86.1766 +Greensburg,37.2598,-85.4965 +Woodlawn,39.091,-84.4728 +Mason,38.5762,-84.5852 +Inez,37.8693,-82.5399 +Marrowbone,36.832,-85.5053 +Belcher,37.3418,-82.3735 +Woodland Hills,38.2393,-85.5289 +Furnace,37.762,-83.8316 +Gilbertsville,37.0284,-88.3104 +Beech Grove,37.6183,-87.3921 +Moscow,36.607,-89.0362 +Smiths Creek,38.4587,-83.186 +Olive Hill,38.3033,-83.1695 +Cleaton,37.2518,-87.0903 +Millwood,37.4503,-86.3905 +London,37.1209,-84.0804 +Independence,38.951,-84.5492 +Blackey,37.139,-82.9812 +Parkway Village,38.2113,-85.7381 +Cornettsville,37.134,-83.0768 +Campbellsburg,38.522,-85.2195 +Olaton,37.5259,-86.6875 +McCarr,37.6177,-82.1704 +Mannsville,37.3726,-85.1966 +Lindseyville,37.2359,-86.2944 +Repton,37.3887,-88.017 +Bardstown,37.8175,-85.4551 +Worthington Hills,38.3093,-85.527 +David,37.5995,-82.8907 +Saint Francis,37.6265,-85.4277 +Mount Washington,38.0429,-85.555 +Pikeville,37.4808,-82.5261 +Newfoundland,38.1315,-83.0993 +Brownsville,37.1952,-86.2691 +Shelbiana,37.4254,-82.4929 +West Point,37.9851,-85.9557 +Pewee Valley,38.3105,-85.4895 +Temple Hill,36.8867,-85.8472 +Ages,36.8569,-83.2426 +Anneta,37.3709,-86.2453 +Balltown,37.7387,-85.5063 +Salvisa,37.921,-84.8615 +Blaine,38.0272,-82.8413 +Port Royal,38.5553,-85.0802 +Poplar Plains,38.3609,-83.6744 +Mousie,37.4184,-82.8782 +Elizabethtown,37.703,-85.8772 +Anthoston,37.7553,-87.5327 +Robards,37.6766,-87.5333 +Bondurant,36.5234,-89.3198 +Carthage,38.9356,-84.3072 +Ida May,37.5212,-83.7663 +Short Creek,37.5278,-86.4744 +Mariba,37.9162,-83.5785 +Greenville,37.2121,-87.1763 +Linton,36.6867,-87.9186 +Fairfield,37.932,-85.3839 +Bourne,37.7098,-84.613 +Island City,37.3665,-83.768 +Letcher,37.1451,-82.9591 +Hazard,37.2583,-83.1977 +Cynthiana,38.3854,-84.2996 +Shady Grove,37.3367,-87.8792 +Whitley City,36.7238,-84.4731 +Shively,38.197,-85.8136 +Manitou,37.3754,-87.5782 +Harold,37.5368,-82.6332 +Dayton,39.1127,-84.4639 +Salem,37.2653,-88.241 +Vernon,36.637,-85.5091 +Coal Run Village,37.5373,-82.5581 +Crescent Springs,39.0554,-84.5787 +Guston,37.8928,-86.2219 +West Buechel,38.195,-85.6678 +Sandy Hook,38.0929,-83.1241 +Bardwell,36.874,-89.0091 +Water Valley,36.5686,-88.8102 +Prospect,38.3471,-85.6103 +Catlettsburg,38.42,-82.6023 +Carrsville,37.3981,-88.3754 +Hebbardsville,37.7762,-87.3753 +New Concord,36.5484,-88.1548 +Russellville,36.8393,-86.895 +Little Rock,38.194,-84.051 +Poole,37.6392,-87.6446 +Jackstown,38.2448,-84.0585 +Limestone,38.2662,-83.2071 +Harlan,36.8432,-83.3184 +Franklin,36.7163,-86.5587 +Co-Operative,36.6929,-84.6077 +Southgate,39.063,-84.4715 +Austin,36.8253,-86.0191 +Wrigley,38.0184,-83.2713 +Burkesville,36.7906,-85.3674 +Millers Creek,37.6718,-83.8969 +Iron Hill,38.4062,-83.038 +Reynoldsville,38.1904,-83.8235 +Murray,36.6145,-88.3206 +Hebron,39.0626,-84.709 +Helena,38.4934,-83.7752 +Chapel Hill,36.7198,-86.2928 +Berea,37.5904,-84.2898 +Beattyville,37.5862,-83.7065 +Hesler,38.4637,-84.7772 +Florence,38.99,-84.647 +Dycusburg,37.1604,-88.1846 +Lancaster,37.6152,-84.5817 +Saint Matthews,38.2495,-85.6382 +Louisa,38.1079,-82.6133 +Farmers,38.1405,-83.5414 +Hurstbourne Acres,38.2201,-85.5907 +Hudson,37.6512,-86.2766 +Meadowview Estates,38.2231,-85.6357 +Central City,37.2962,-87.128 +Handshoe,37.4701,-82.9066 +Mazie,38.027,-82.9724 +Stephensburg,37.6248,-86.0189 +Viper,37.1829,-83.1482 +Belleview,38.9792,-84.8249 +Ironville,38.4562,-82.6978 +Mitchellsburg,37.6006,-84.9497 +Virgie,37.3323,-82.5824 +Adolphus,36.6517,-86.2614 +Springfield,37.6921,-85.2193 +Fleming-Neon,37.1953,-82.7047 +Sheridan,37.3517,-88.1989 +Greenup,38.5728,-82.8303 +Saint Charles,37.1881,-87.551 +Woodbury,37.1836,-86.6352 +Hazel Green,37.7999,-83.4173 +Mayo,37.8717,-84.925 +Hazel,36.5055,-88.3253 +Merrimac,37.4126,-85.1286 +South Park View,38.1185,-85.7199 +Woodburn,36.8421,-86.53 +Maceo,37.8624,-86.9914 +Prestonsburg,37.6795,-82.7641 +Saint Paul,38.6709,-83.0871 +Fountain Run,36.7238,-85.9561 +Ghent,38.734,-85.0612 +Tracy,36.7981,-85.9705 +Mount Vernon,37.3578,-84.343 +Elkhorn City,37.3202,-82.3522 +Milton,38.7122,-85.3741 +Crestview,39.0245,-84.4155 +Drakesboro,37.2176,-87.0493 +Stearns,36.6957,-84.4769 +Douglass Hills,38.2367,-85.5501 +Stanford,37.5349,-84.6606 +Hagerhill,37.7862,-82.7935 +Maysville,38.6454,-83.7911 +Indian Hills,38.2809,-85.6616 +Cedar Bluff,37.0884,-87.8447 +Melbourne,39.0319,-84.3708 +Caneyville,37.4241,-86.4906 +Kenton,38.8684,-84.4561 +Morgan,38.6028,-84.3988 +Saint Regis Park,38.2289,-85.6159 +Beechmont,37.1714,-87.0364 +Lewisburg,36.9872,-86.9502 +Dover,38.7563,-83.8845 +New Castle,38.4334,-85.1689 +Bromley,39.0801,-84.5629 +New Haven,37.6592,-85.5884 +Erose,36.9273,-83.6194 +Bohon,37.8117,-84.9197 +Firebrick,38.6876,-83.0471 +Hurstbourne,38.238,-85.5891 +Morganfield,37.6869,-87.8885 +Bellemeade,38.251,-85.591 +Yerkes,37.2773,-83.301 +Livingston,37.298,-84.2157 +Dwale,37.6254,-82.7277 +Bell City,36.5376,-88.5006 +Jeffersonville,37.966,-83.832 +Oakland,37.0468,-86.2506 +Warsaw,38.7773,-84.9044 +Scotts Mills,45.041,-122.6689 +Tumalo,44.1561,-121.328 +Pistol River,42.2838,-124.3991 +Harper,43.8569,-117.6266 +Tutuilla,45.6142,-118.7065 +Dundee,45.2759,-123.0072 +Saint Helens,45.8572,-122.8163 +Toledo,44.6196,-123.934 +Raleigh Hills,45.4852,-122.7566 +Madras,44.6385,-121.1264 +Rockaway Beach,45.6186,-123.9398 +Scottsburg,43.654,-123.8168 +Chiloquin,42.5764,-121.8678 +Coos Bay,43.3789,-124.233 +Chenoweth,45.6206,-121.2363 +Mount Hood,45.5339,-121.5662 +Rieth,45.661,-118.8714 +Estacada,45.2987,-122.3338 +Oakridge,43.745,-122.4638 +Walterville,44.0687,-122.804 +Holland,42.1276,-123.539 +Crabtree,44.6377,-122.9059 +North Bend,43.4075,-124.2364 +Elgin,45.5643,-117.9212 +Shedd,44.4579,-123.112 +Happy Valley,45.4383,-122.5142 +Medford,42.3372,-122.8537 +Goshen,43.9954,-123.0115 +Deschutes River Woods,43.9887,-121.3608 +Independence,44.8551,-123.1948 +Lakeview,42.1919,-120.3527 +Izee,44.0671,-119.3861 +Forest Grove,45.5245,-123.1102 +Sandy,45.3986,-122.269 +Canyon City,44.393,-118.9494 +Knappa,46.1851,-123.586 +Bly,42.3977,-121.0417 +Winchester,43.2801,-123.3537 +Gold Beach,42.3974,-124.4171 +Yamhill,45.3412,-123.185 +Wood Village,45.5358,-122.4205 +Newberg,45.3071,-122.9598 +Burlington,45.6462,-122.8426 +Days Creek,42.9705,-123.1657 +Norway,43.1009,-124.1568 +Culp Creek,43.7035,-122.8476 +Cushman,43.9857,-124.0443 +Cedar Hills,45.5047,-122.8051 +Hammond,46.2001,-123.9515 +Oatfield,45.4127,-122.5942 +Umpqua,43.3654,-123.4684 +Hamilton,44.7404,-119.3091 +Juntura,43.7487,-118.0789 +Rock Creek,45.5726,-120.2973 +Klamath Falls,42.2192,-121.7755 +Perrydale,45.0426,-123.2557 +Silver Lake,43.1264,-121.0495 +Green,43.1509,-123.3854 +Umatilla,45.9128,-119.3144 +Idleyld Park,43.3237,-123.024 +Lyons,44.7776,-122.6098 +Long Creek,44.7142,-119.1042 +Gold Hill,42.4358,-123.0526 +Seal Rock,44.499,-124.084 +Eddyville,44.6346,-123.7765 +Olene,42.1718,-121.6308 +Dexter,43.916,-122.8229 +Glendale,42.7381,-123.4294 +Frenchglen,42.8268,-118.9155 +Pendleton,45.6747,-118.8172 +Westfir,43.7579,-122.5095 +Molalla,45.1502,-122.5844 +Pine,44.8613,-117.0891 +Irrigon,45.8959,-119.4883 +Dale,44.9885,-118.9475 +Labish Village,45.0191,-122.9736 +Beatty,42.4419,-121.2716 +North Albany,44.6529,-123.1018 +Junction City,44.2068,-123.2097 +Butte Falls,42.5414,-122.5692 +Sweet Home,44.4023,-122.7028 +Cornucopia,45.0082,-117.1927 +Whiteson,45.1515,-123.1968 +Pacific City,45.2054,-123.9536 +Prineville,44.2988,-120.8594 +Government Camp,45.3022,-121.7528 +Pondosa,45.0079,-117.6427 +Adel,42.1774,-119.8986 +Cannon Beach,45.8884,-123.9602 +Gearhart,46.0289,-123.9174 +Lebanon,44.5314,-122.9075 +O'Brien,42.0702,-123.7077 +Brogan,44.2475,-117.5186 +Kings Valley,44.698,-123.4265 +Willowdale,44.8054,-120.9431 +Condon,45.2366,-120.1859 +Willamina,45.0788,-123.4843 +Wamic,45.2256,-121.2927 +Bay City,45.5216,-123.8858 +Glasgow,43.4371,-124.1961 +Waterloo,44.4948,-122.8243 +Paisley,42.6925,-120.5452 +Mehama,44.7914,-122.6305 +Phoenix,42.2748,-122.8151 +McCredie Springs,43.7098,-122.2889 +Tidewater,44.4112,-123.9004 +Spray,44.833,-119.794 +Sprague River,42.4554,-121.5042 +Summerville,45.4898,-118.0041 +Ukiah,45.1344,-118.9332 +Coquille,43.1801,-124.1841 +Hoskins,44.6768,-123.4687 +Three Rivers,43.8366,-121.4646 +Elkhorn,44.8357,-122.362 +Stafford,45.3785,-122.6822 +Drain,43.662,-123.3142 +Bates,44.5929,-118.5086 +Neskowin,45.1208,-123.9766 +South Lebanon,44.5055,-122.896 +Riverton,43.1573,-124.2746 +Arch Cape,45.829,-123.9621 +Sublimity,44.8293,-122.7925 +Gilchrist,43.4771,-121.6853 +Mount Angel,45.0694,-122.7964 +Lookingglass,43.1848,-123.4999 +Bunker Hill,43.3502,-124.2082 +Powers,42.8859,-124.0734 +Stanfield,45.7849,-119.219 +Cave Junction,42.1672,-123.6473 +White City,42.4317,-122.8322 +Kerby,42.2047,-123.6489 +Monroe,44.3169,-123.2988 +Wagontire,43.2496,-119.8758 +Manzanita,45.7165,-123.9352 +Arlington,45.7207,-120.1888 +Ironside,44.3243,-117.9446 +Broadbent,43.009,-124.1465 +McMinnville,45.211,-123.1918 +Simnasho,44.9729,-121.3501 +Cove,45.2963,-117.8102 +Brooks,45.0508,-122.9575 +Maywood Park,45.5524,-122.5617 +Dora,43.1559,-123.9562 +Meacham,45.5065,-118.4213 +Burns,43.5882,-119.0614 +Ashwood,44.7337,-120.7545 +Tualatin,45.3772,-122.7746 +Columbia City,45.895,-122.8115 +Arock,42.914,-117.5252 +Siltcoos,43.889,-124.0637 +Vernonia,45.8611,-123.1834 +Milo,42.9307,-123.0498 +Timber,45.7198,-123.2946 +Elkton,43.6378,-123.5687 +Silverton,45.003,-122.7808 +Damascus,45.4299,-122.4461 +Joseph,45.3526,-117.2303 +Moro,45.4837,-120.7333 +Myrtle Creek,43.0227,-123.2811 +Cedar Mill,45.5355,-122.8007 +Millersburg,44.6779,-123.0691 +Mill City,44.7519,-122.478 +Sutherlin,43.3884,-123.3232 +Tiller,42.9285,-122.9512 +Lincoln Beach,44.8746,-124.031 +Alpine,44.3307,-123.3625 +Dufur,45.453,-121.1289 +West Slope,45.4962,-122.7731 +Placer,42.6321,-123.3153 +West Scio,44.7098,-122.8812 +Grass Valley,45.3591,-120.7843 +Yoncalla,43.6003,-123.2875 +Union Creek,42.9071,-122.4456 +Port Orford,42.7497,-124.4973 +Canby,45.2653,-122.6866 +Fair Oaks,43.4109,-123.2194 +Jennings Lodge,45.3926,-122.6153 +Lake Oswego,45.4129,-122.7002 +Pine Grove,45.1136,-121.355 +Chemult,43.2165,-121.7828 +Idanha,44.7049,-122.0877 +Bandon,43.1142,-124.4157 +Huntington,44.3502,-117.2668 +Holley,44.349,-122.7855 +Brightwood,45.3762,-122.0167 +Ontario,44.0259,-116.976 +Banks,45.6148,-123.1064 +McKenzie Bridge,44.1751,-122.1639 +Merlin,42.5204,-123.4252 +Helix,45.8506,-118.659 +Winchester Bay,43.6729,-124.1828 +Black Rock,44.871,-123.4962 +Cape Meares,45.5153,-123.9536 +Jamieson,44.1821,-117.438 +Selma,42.2797,-123.6151 +Vale,43.984,-117.2417 +Parkdale,45.5131,-121.5921 +Post,44.1624,-120.49 +Pilot Rock,45.4961,-118.8332 +Boardman,45.8372,-119.6957 +Ophir,42.5632,-124.3829 +Adair Village,44.6706,-123.2158 +Allegany,43.4259,-124.0323 +Malin,42.0133,-121.4099 +Summit,44.6362,-123.5768 +Enterprise,45.4258,-117.2789 +Charleston,43.3401,-124.3301 +Wilderville,42.3823,-123.467 +Wolf Creek,42.6954,-123.3953 +Harney,43.6432,-118.8227 +Shady Cove,42.6115,-122.8178 +Rowena,45.6701,-121.275 +Gervais,45.1078,-122.8962 +Agness,42.5565,-124.069 +Cecil,45.6179,-119.9589 +Saint Paul,45.2121,-122.9773 +Lime,44.4066,-117.3113 +Jordan Valley,42.9793,-117.0574 +Prairie City,44.4611,-118.7094 +Vida,44.146,-122.5698 +New Hope,42.3693,-123.359 +Wasco,45.5916,-120.6975 +Kimberly,44.7593,-119.6444 +Lonerock,45.0888,-119.884 +Four Corners,44.9291,-122.9731 +Westport,46.1303,-123.3715 +Mikkalo,45.471,-120.2348 +Williams,42.2194,-123.2922 +Murphy,42.3476,-123.3334 +Tangent,44.5477,-123.1111 +Metolius,44.5874,-121.176 +Sheridan,45.0955,-123.397 +Camas Valley,43.0343,-123.674 +Worden,42.0454,-121.8664 +Yachats,44.3126,-124.1022 +Prescott,46.0489,-122.8879 +John Day,44.4181,-118.9535 +Leland,42.6384,-123.4409 +Bridge,43.024,-124.007 +Oceanside,45.4549,-123.961 +Lakeside,43.5795,-124.1733 +Central Point,42.3765,-122.9109 +Weston,45.8165,-118.4258 +Mayville,45.0824,-120.1923 +Donald,45.222,-122.8386 +Glenwood,45.6493,-123.2709 +Bend,44.0562,-121.3087 +Westfall,43.9918,-117.7091 +Milton-Freewater,45.9348,-118.3913 +Halfway,44.878,-117.1097 +Baker City,44.7749,-117.832 +Union,45.2089,-117.8679 +Keno,42.1265,-121.93 +Ruch,42.2314,-123.0403 +Kent,45.1951,-120.6942 +Keating,44.874,-117.5905 +Deer Island,45.9329,-122.8497 +Scio,44.7046,-122.8509 +Veneta,44.0471,-123.3514 +Lacomb,44.5844,-122.7417 +Terrebonne,44.3533,-121.1808 +Creswell,43.9212,-123.016 +Redmond,44.2631,-121.1798 +Fort Hill Census Designated Place,45.0671,-123.5604 +Dorena,43.7198,-122.862 +Beulah,43.9065,-118.1527 +Sixes,42.8201,-124.4832 +Butteville,45.2562,-122.8357 +King City,45.401,-122.8069 +Grizzly,44.4979,-120.9198 +Seaside,45.9889,-123.9214 +Lexington,45.4462,-119.6879 +Newport,44.6231,-124.0524 +Clatskanie,46.1047,-123.2045 +Gladstone,45.3864,-122.5933 +La Grande,45.3243,-118.0865 +Oak Grove,45.4155,-122.6349 +Carpenterville,42.2201,-124.3395 +Riddle,42.9542,-123.3645 +Paulina,44.1338,-119.9628 +Disston,43.6982,-122.7701 +Barlow,45.2523,-122.7224 +Warrenton,46.1685,-123.9302 +Hazelwood,45.5165,-122.524 +Marion,44.7513,-122.9277 +Halsey,44.3826,-123.1102 +South Beach,44.6126,-124.0487 +Oak Hills,45.5403,-122.8413 +Alsea,44.3818,-123.5958 +Rhododendron,45.3296,-121.9112 +Crawfordsville,44.3562,-122.8648 +Fox,44.6488,-119.1441 +Telocaset,45.101,-117.8263 +Unity,44.449,-118.1881 +Foster,44.4104,-122.6723 +Grand Ronde,45.0739,-123.621 +Plush,42.4051,-119.8993 +Cloverdale,45.2006,-123.8842 +Aurora,45.2285,-122.7572 +Sodaville,44.4831,-122.8691 +Grants Pass,42.4333,-123.3317 +Swisshome,44.0579,-123.7993 +Black Butte Ranch,44.3577,-121.6589 +Harbor,42.0385,-124.2516 +Lostine,45.4866,-117.4294 +Cottage Grove,43.7961,-123.0573 +North Powder,45.03,-117.9205 +Powellhurst,45.504,-122.5376 +Mosier,45.685,-121.3952 +Ione,45.503,-119.8207 +Beaver,45.278,-123.8221 +Cornelius,45.5189,-123.0516 +Eola,44.9313,-123.1195 +Brownlee,44.8115,-116.9343 +Amity,45.1154,-123.2034 +Santa Clara,44.1035,-123.1312 +Biggs Junction,45.6639,-120.8391 +Sherwood,45.3598,-122.843 +Applegate,42.2571,-123.1684 +Fossil,44.9981,-120.2147 +Riverside,43.5415,-118.1591 +Riley,43.5415,-119.5038 +Brothers,43.8137,-120.6033 +Johnson City,45.4045,-122.5795 +Monmouth,44.8505,-123.2283 +Gardiner,43.7329,-124.1068 +Shaniko,45.0037,-120.7522 +Trail,42.6567,-122.8135 +Flora,45.9001,-117.3099 +Adams,45.7663,-118.5643 +Agate Beach,44.6773,-124.0618 +Siletz,44.7219,-123.9187 +Lawen,43.4429,-118.801 +Bethany,45.5613,-122.837 +Bonanza,42.2003,-121.4066 +Sunriver,43.8816,-121.4368 +Merrill,42.026,-121.6008 +Maupin,45.1731,-121.0882 +Sumpter,44.7436,-118.1975 +Rufus,45.6919,-120.7433 +Antelope,44.9113,-120.7236 +Wilsonville,45.3107,-122.7706 +Winston,43.12,-123.4242 +Salem,44.9232,-123.0245 +Oregon City,45.3418,-122.5938 +Tigard,45.4237,-122.7844 +Rogue River,42.4355,-123.1683 +Mist,45.9962,-123.2565 +Troutdale,45.5372,-122.3955 +Bayside Gardens,45.7143,-123.9165 +Otis,45.0243,-123.9465 +Brookings,42.0697,-124.3003 +Wallowa,45.5704,-117.5286 +Rickreall,44.9319,-123.2344 +Athena,45.8132,-118.4924 +Lowell,43.9209,-122.7819 +Nesika Beach,42.5045,-124.4065 +Culver,44.5232,-121.211 +Cascade Locks,45.6763,-121.8719 +Harrisburg,44.2718,-123.1656 +Fairview,45.5471,-122.4391 +Blue River,44.1546,-122.3412 +Beaverton,45.4779,-122.8168 +River Road,44.084,-123.1337 +Greenhorn,44.7087,-118.4968 +Falls City,44.8648,-123.4372 +Mapleton,44.0312,-123.8582 +Olex,45.4971,-120.1689 +Rainier,46.0768,-122.9404 +Ashland,42.1905,-122.6992 +Depoe Bay,44.8091,-124.0599 +Mitchell,44.5703,-120.1537 +Idaville,45.5098,-123.8633 +Gates,44.7561,-122.4202 +Hampton,43.6726,-120.2339 +Nyssa,43.8776,-116.9951 +Canyonville,42.9274,-123.2781 +Gresham,45.5023,-122.4414 +Rivergrove,45.385,-122.7331 +Hauser,43.4929,-124.2187 +Pine Hollow,45.242,-121.291 +Tillamook,45.4562,-123.8332 +Carlton,45.2945,-123.1753 +Portland,45.5372,-122.65 +Roseburg,43.2229,-123.3519 +Scappoose,45.7564,-122.8771 +Albany,44.6274,-123.0966 +Richland,44.7682,-117.1673 +Dayville,44.4667,-119.5322 +Rockwood,45.519,-122.477 +Aloha,45.492,-122.8726 +Metzger,45.4492,-122.7623 +Hebo,45.2261,-123.8586 +The Dalles,45.6047,-121.1815 +Glide,43.303,-123.0665 +Summer Lake,42.9729,-120.7775 +New Pine Creek,41.9941,-120.2972 +Odell,45.6354,-121.5522 +Wimer,42.5446,-123.148 +Astoria,46.1856,-123.8053 +Warm Springs,44.7669,-121.2899 +Crane,43.4179,-118.5874 +Marcola,44.1723,-122.8606 +Netarts,45.4356,-123.9344 +Mount Hood Village,45.3432,-121.9832 +Blodgett,44.597,-123.521 +Sisters,44.292,-121.5534 +Tri-City,42.9893,-123.3 +Camp Sherman,44.4492,-121.6496 +Kirk,42.7474,-121.8295 +Echo,45.743,-119.1919 +Troy,45.9468,-117.4516 +Durham,45.3941,-122.7581 +Warren,45.8133,-122.8796 +Dillard,43.1082,-123.4262 +Hermiston,45.8323,-119.2858 +Cayuse,45.6765,-118.5735 +Melrose,43.2529,-123.4575 +Hilgard,45.3521,-118.228 +Eugene,44.0563,-123.1173 +Redwood,42.4219,-123.3915 +Peoria,44.4507,-123.2043 +Leaburg,44.1073,-122.677 +Powell Butte,44.2476,-121.0175 +Foots Creek,42.3845,-123.1408 +Rockcreek,45.5525,-122.8757 +Heppner,45.3547,-119.556 +Milwaukie,45.4445,-122.6219 +Cheshire,44.1896,-123.2857 +Elsie,45.8657,-123.5948 +Philomath,44.5424,-123.3597 +Brownsville,44.3923,-122.9833 +Seneca,44.1352,-118.9761 +Gaston,45.4357,-123.1435 +Aumsville,44.8462,-122.87 +Waldport,44.4173,-124.0664 +Lafayette,45.2462,-123.1115 +Keizer,45.0028,-123.0241 +Kirkpatrick,45.6796,-118.6499 +West Linn,45.3669,-122.6399 +Garibaldi,45.5607,-123.9111 +Gibbon,45.6996,-118.365 +Midland,42.1307,-121.8203 +Dallas,44.922,-123.3137 +Monument,44.8209,-119.4208 +Island City,45.3359,-118.0492 +Dairy,42.2351,-121.5211 +Hood River,45.7093,-121.5258 +Myrtle Point,43.0617,-124.1327 +Corvallis,44.5697,-123.278 +Valley Falls,42.484,-120.2819 +Barview,43.347,-124.3073 +Dayton,45.2198,-123.0781 +Wheeler,45.6872,-123.8873 +North Springfield,44.0748,-123.0031 +Homestead,45.0238,-116.8507 +Hines,43.5568,-119.0804 +Prospect,42.7526,-122.4757 +Talent,42.2404,-122.7807 +Detroit,44.7338,-122.1512 +Rose Lodge,45.0187,-123.8882 +Harlan,44.5398,-123.6932 +Adrian,43.7408,-117.0709 +North Plains,45.5969,-122.9956 +Lake Creek,42.4208,-122.6228 +Dee,45.5882,-121.6267 +Tygh Valley,45.2418,-121.1693 +Cascadia,44.3931,-122.5027 +Mount Vernon,44.4169,-119.1132 +Dunes City,43.9079,-124.0984 +Minam,45.6218,-117.7233 +Jefferson,44.7172,-123.0069 +Langlois,42.9259,-124.4532 +Stayton,44.803,-122.7981 +Beaver Creek,45.2757,-122.5136 +Florence,43.9912,-124.1061 +Tenmile,43.0962,-123.5642 +Hubbard,45.1819,-122.8072 +Silvies,44.0329,-118.9352 +Coburg,44.1393,-123.0588 +Altamont,42.198,-121.7249 +Granite,44.81,-118.4187 +Hillsboro,45.5271,-122.9358 +Springfield,44.0538,-122.9811 +Haines,44.9123,-117.9396 +Annex,44.2346,-116.9922 +La Pine,43.6866,-121.4856 +Nehalem,45.7196,-123.894 +Woodburn,45.1476,-122.8585 +Diamond Lake,43.1787,-122.1389 +Mulino,45.2235,-122.5616 +Curtin,43.7223,-123.212 +Jacksonville,42.3127,-122.9692 +Wapinitia,45.1143,-121.2565 +Lincoln City,44.9751,-124.0073 +Eagle Point,42.4677,-122.8016 +Umapine,45.976,-118.5009 +Boring,45.4298,-122.3748 +Neahkahnie,45.7324,-123.9399 +Klamath Agency,42.6182,-121.9339 +Imbler,45.4622,-117.9631 +Fort Klamath,42.7046,-121.9959 +Alfalfa,44.0773,-121.017 +Reedsport,43.6983,-124.1122 +Mission,45.6585,-118.6655 +Takilma,42.0409,-123.6222 +Crescent,43.4623,-121.6956 +Logsden,44.7432,-123.7943 +Turner,44.8489,-122.9518 +Oakland,43.4234,-123.2968 +Hayesville,44.9793,-122.9738 +Bellfountain,44.3654,-123.3559 +Rockerville,43.958,-103.3585 +Lead,44.3528,-103.7671 +Bushnell,44.3277,-96.6422 +Hosmer,45.5788,-99.4736 +Winfred,44.0008,-97.3597 +Batesland,43.1278,-102.1017 +Sisseton,45.6625,-97.0453 +Ipswich,45.4435,-99.03 +Milbank,45.2193,-96.6342 +Porcupine,43.2687,-102.3353 +McLaughlin,45.8133,-100.8107 +Hoover,45.1125,-103.2671 +Columbia,45.6148,-98.3107 +Marvin,45.2605,-96.9154 +Lake City,45.7248,-97.4139 +Alpena,44.183,-98.3684 +Colome,43.2596,-99.7169 +Caputa,43.9961,-102.9849 +Burdock,43.453,-103.9933 +Montrose,43.7002,-97.1843 +Dante,43.0399,-98.1856 +Red Elm,45.0553,-101.784 +Erwin,44.488,-97.4409 +Volin,42.9586,-97.1812 +Bison,45.5235,-102.4677 +Parkston,43.3929,-97.9864 +Henry,44.8809,-97.4616 +Estelline,44.5768,-96.9011 +Leola,45.7211,-98.9389 +Kimball,43.7468,-98.9569 +Parker,43.3978,-97.1334 +Running Water,42.7821,-97.9816 +Conata,43.7286,-102.1888 +Unityville,43.8014,-97.4526 +Aurora Center,43.5272,-98.5895 +Groton,45.4517,-98.1001 +Wetonka,45.6242,-98.7717 +Camp Crook,45.55,-103.975 +New Underwood,44.0989,-102.8362 +Forestburg,44.0212,-98.1032 +Hereford,44.3872,-102.8955 +Tyndall,42.9899,-97.8642 +Okreek,43.3534,-100.3826 +McIntosh,45.9214,-101.3491 +Olsonville,43.1278,-100.609 +Revillo,45.0155,-96.5713 +Hecla,45.8821,-98.152 +Alcester,43.023,-96.6282 +Bath,45.4692,-98.3236 +Egan,44.0004,-96.6485 +Claire City,45.8566,-97.1035 +Bruce,44.4379,-96.8901 +Sherman,43.7577,-96.4762 +Enning,44.5755,-102.5632 +Turton,45.049,-98.0974 +Two Strike,43.2141,-100.8988 +Capa,44.1089,-100.9782 +Marty,42.9965,-98.4302 +Viborg,43.1714,-97.0798 +Vilas,44.0083,-97.596 +Rapid Valley,44.0674,-103.1229 +Burbank,42.7453,-96.8292 +Howes,44.6194,-102.0518 +Spencer,43.7273,-97.5911 +Warner,45.3252,-98.4952 +Clark,44.8814,-97.7347 +Oacoma,43.8038,-99.3721 +Delmont,43.2666,-98.1592 +Green Valley,44.039,-103.1116 +Eagle Butte,44.9907,-101.2275 +Plankinton,43.7155,-98.4837 +Lodgepole,45.8047,-102.6607 +Canton,43.3033,-96.5844 +Holabird,44.523,-99.5982 +Langford,45.6027,-97.8303 +Northville,45.1554,-98.5793 +Brant Lake,43.9308,-96.9435 +White River,43.567,-100.7449 +Denby,43.0608,-102.3377 +Lane,44.0697,-98.4246 +Selby,45.5057,-100.0329 +Hayes,44.3703,-101.0215 +Ferney,45.3346,-98.0939 +Blackhawk,44.1516,-103.3332 +Crocker,45.107,-97.7805 +Oral,43.405,-103.2691 +Creighton,44.255,-102.2079 +Lebanon,45.0688,-99.7664 +Zell,44.8969,-98.7284 +Centerville,43.1165,-96.9596 +Box Elder,44.1128,-103.0807 +Elk Point,42.6816,-96.68 +Kadoka,43.8325,-101.5081 +Ralph,45.7767,-103.066 +New Holland,43.4287,-98.6073 +Fairpoint,44.7483,-102.7966 +Utica,42.9811,-97.4966 +Raymond,44.9105,-97.9373 +Ree Heights,44.5158,-99.2005 +Carpenter,44.6375,-97.9168 +Milesville,44.458,-101.6793 +Veblen,45.862,-97.2869 +Hartford,43.621,-96.9424 +Miranda,44.9719,-98.9643 +Hamill,43.5939,-99.6906 +Sioux Falls,43.5397,-96.7322 +Lucas,43.2897,-99.2165 +Emery,43.602,-97.6195 +Peever,45.5422,-96.956 +Yale,44.434,-97.9887 +Renner,43.6455,-96.7284 +Verdon,45.2442,-98.0992 +Woonsocket,44.0541,-98.2724 +Quinn,43.9866,-102.1264 +Stoneville,44.7336,-102.6546 +Monroe,43.4865,-97.2166 +Wilmot,45.4091,-96.8545 +Lyman,43.8811,-99.7396 +Arlington,44.3636,-97.1343 +Milltown,43.4252,-97.8081 +Summerset,44.1976,-103.3456 +Interior,43.7268,-101.9836 +White,44.4359,-96.646 +Waverly,44.9987,-96.9742 +Wallace,45.0845,-97.4781 +Menno,43.2386,-97.5773 +Carthage,44.1686,-97.715 +Rochford,44.1244,-103.7196 +Ramona,44.1199,-97.2154 +Hidden Timber,43.2294,-100.4215 +Avon,43.0052,-98.0593 +Hoven,45.2416,-99.7775 +Beresford,43.0797,-96.7802 +Kranzburg,44.8888,-96.9092 +Kyle,43.4245,-102.1802 +Eureka,45.7707,-99.6208 +Loyalton,45.2864,-99.2796 +Britton,45.7924,-97.7529 +Harrington,43.1711,-101.2546 +Webster,45.3366,-97.5218 +Cavour,44.3693,-98.0421 +Onaka,45.1912,-99.4659 +Kennebec,43.9035,-99.8619 +New Effington,45.8559,-96.9173 +Wagner,43.0768,-98.2934 +Bancroft,44.4894,-97.7505 +Millboro,43.0731,-99.969 +Roslyn,45.4965,-97.4932 +Red Shirt,43.6675,-102.8988 +Keystone,43.8955,-103.4267 +Elkton,44.2351,-96.4796 +Frankfort,44.8777,-98.3092 +Faith,45.0258,-102.0363 +Oldham,44.2281,-97.3096 +Long Lake,45.8567,-99.2059 +Winner,43.3776,-99.8551 +Geddes,43.254,-98.6974 +Jefferson,42.6042,-96.5661 +Lantry,45.0144,-101.4315 +Howard,44.0116,-97.5246 +Kenel,45.8583,-100.4599 +Broadland,44.4938,-98.3465 +Goodwin,44.8775,-96.8497 +Canistota,43.5978,-97.2926 +Chancellor,43.3719,-96.9872 +Hayti,44.6571,-97.2046 +Mound City,45.7262,-100.0688 +Hot Springs,43.4313,-103.4836 +Ward,44.1548,-96.4626 +Faulkton,45.0342,-99.1266 +Trail City,45.4725,-100.7254 +Nowlin,44.0497,-101.3026 +Watertown,44.9096,-97.1536 +Elm Springs,44.3133,-102.5277 +Buffalo,45.5864,-103.5434 +Ravinia,43.1365,-98.4268 +Owanka,44.0222,-102.5874 +Parade,45.0239,-101.1046 +Oglala,43.1849,-102.7267 +Hilland,44.2828,-101.8565 +Fairburn,43.687,-103.2087 +Nunda,44.1599,-97.0194 +Bridger,44.5458,-101.9113 +Reva,45.5453,-103.0843 +Martin,43.1748,-101.7324 +Whitehorse,45.2746,-100.9012 +Albee,45.0513,-96.5535 +Ethan,43.5463,-97.9831 +Keyapaha,43.1094,-100.1379 +Sinai,44.2445,-97.044 +Pringle,43.609,-103.5946 +Bowdle,45.4512,-99.6566 +Academy,43.4564,-99.0798 +Grenville,45.4669,-97.3901 +Vale,44.6183,-103.3986 +Meckling,42.8425,-97.0695 +Mission Hill,42.9208,-97.2791 +Strandburg,45.0441,-96.7604 +Westover,43.7478,-100.6662 +Wendte,44.2444,-100.6651 +Glad Valley,45.3991,-101.7776 +Thunder Hawk,45.9383,-101.9749 +White Lake,43.7281,-98.7114 +Shadehill,45.7656,-102.1793 +Spink,42.8519,-96.747 +Smithwick,43.3014,-103.2183 +Summit,45.3056,-97.0391 +Tilford,44.3003,-103.4299 +Imlay,43.7194,-102.3974 +Manderson,43.2353,-102.4707 +Stickney,43.5894,-98.4376 +Rowena,43.5203,-96.5559 +Hillsview,45.6642,-99.5607 +Miller,44.5205,-98.9871 +Rumford,43.1266,-103.698 +Fort Pierre,44.3679,-100.3831 +Harrold,44.5235,-99.7393 +Prairie City,45.5312,-102.8164 +Farmer,43.7252,-97.689 +Ladner,45.8272,-103.728 +Clear Lake,44.7646,-96.6767 +Vetal,43.2144,-101.3768 +Potato Creek,43.5344,-101.9902 +Putney,45.5602,-98.1754 +Westport,45.6478,-98.4981 +Naples,44.7716,-97.513 +Ortley,45.3349,-97.205 +Isabel,45.3938,-101.4325 +Lemmon,45.9385,-102.1589 +Yankton,42.89,-97.3924 +LaBolt,45.0508,-96.6767 +White Owl,44.5922,-102.4307 +Herreid,45.8377,-100.0749 +Dewey,43.5308,-104.041 +Wolsey,44.4105,-98.4738 +Bonesteel,43.0775,-98.9467 +Claremont,45.6719,-98.0157 +Frederick,45.8321,-98.5069 +Ludlow,45.8344,-103.3766 +Volga,44.3234,-96.9222 +Gregory,43.2299,-99.4208 +Pukwana,43.7792,-99.1843 +Ottumwa,44.2336,-101.3471 +Dimock,43.4763,-97.9884 +Ardmore,43.0194,-103.6563 +Irene,43.0837,-97.1576 +Nemo,44.1942,-103.5049 +Corn Creek,43.5745,-101.2059 +Wessington,44.4552,-98.6967 +Cottonwood,43.9657,-101.9021 +Saint Charles,43.0882,-99.0949 +Bijou Hills,43.5285,-99.1439 +Clearfield,43.1683,-100.0282 +Loomis,43.7931,-98.1036 +Lennox,43.3505,-96.8947 +Fedora,44.0067,-97.7895 +Norris,43.4721,-101.1928 +Reliance,43.88,-99.6018 +Morristown,45.9386,-101.7188 +Bonilla,44.5828,-98.4993 +Chamberlain,43.7858,-99.3264 +Wasta,44.0695,-102.4463 +Freeman,43.3501,-97.4291 +Tschetter Colony,43.3703,-97.6862 +Athol,45.0089,-98.5965 +Sorum,45.4497,-102.9293 +South Shore,45.1016,-96.93 +Bath Corner,45.4627,-98.3329 +Farmingdale,43.9592,-102.8838 +Humboldt,43.6447,-97.074 +Ridgeview,45.085,-100.8004 +Andover,45.4102,-97.9037 +Marion,43.4236,-97.2605 +Vermillion,42.7811,-96.9256 +Allen,43.2792,-101.9265 +Huron,44.3622,-98.2102 +Soldier Creek,43.3237,-100.8883 +Watauga,45.9228,-101.5429 +Lake Preston,44.3617,-97.376 +Bridgewater,43.5502,-97.4984 +Patricia,43.2872,-101.5121 +Spring Creek,43.1153,-101.0307 +Rapid City,44.0716,-103.2205 +Butler,45.262,-97.7116 +Hermosa,43.8398,-103.1929 +Aurora,44.2832,-96.6854 +Saint Lawrence,44.5166,-98.9379 +Dolton,43.4911,-97.3848 +Glencross,45.4483,-100.9213 +Highmore,44.5214,-99.4393 +White Rock,45.9248,-96.576 +Scenic,43.7797,-102.5549 +Artas,45.8873,-99.8067 +Rosebud,43.2399,-100.8229 +Murdo,43.8893,-100.7142 +Mellette,45.1544,-98.4983 +Spearfish,44.4912,-103.8166 +Fulton,43.7288,-97.8226 +Buffalo Chip,44.4166,-103.4058 +Central City,44.3684,-103.7706 +Tolstoy,45.2082,-99.614 +Meadow,45.5292,-102.2163 +Buffalo Gap,43.4921,-103.3154 +Akaska,45.3311,-100.1209 +Cherry Creek,44.6055,-101.4999 +Onida,44.7048,-100.0675 +Iona,43.5431,-99.4248 +Stratford,45.3175,-98.3043 +Mobridge,45.5411,-100.435 +Whitewood,44.4617,-103.6381 +Aberdeen,45.4646,-98.468 +Edgemont,43.2983,-103.8271 +Junius,44.0064,-97.2442 +Saint Francis,43.1426,-100.9028 +Dakota Dunes,42.4919,-96.4867 +Wakonda,43.008,-97.106 +Firesteel,45.4247,-101.2851 +Valley Springs,43.5833,-96.4659 +Stephan,44.248,-99.4532 +Wicksville,44.0961,-102.5885 +Lily,45.1818,-97.6835 +Olivet,43.2412,-97.6741 +Waubay,45.3346,-97.3054 +Mansfield,45.2465,-98.5581 +Shindler,43.4677,-96.6355 +Toronto,44.5724,-96.6415 +Redfield,44.8724,-98.5186 +Lake Andes,43.1559,-98.5362 +Brentford,45.1591,-98.3223 +Stockholm,45.1018,-96.7998 +Rutland,44.0894,-96.9673 +Fairfax,43.028,-98.8889 +Viewfield,44.2119,-102.8296 +Ola,43.6005,-99.2113 +Antelope,43.3087,-100.6307 +La Plant,45.1353,-100.6648 +North Eagle Butte,45.0169,-101.2365 +Pickstown,43.0671,-98.5295 +Fort Thompson,44.0527,-99.4079 +Hetland,44.3772,-97.2348 +Salem,43.7228,-97.3893 +Harrison,43.4311,-98.5267 +Trent,43.9063,-96.6578 +Long Valley,43.4617,-101.4949 +Okaton,43.8621,-100.9049 +Ideal,43.5433,-99.9215 +Wood,43.4971,-100.4802 +Brookings,44.3022,-96.7859 +Redig,45.2711,-103.5482 +Wounded Knee,43.1435,-102.3682 +Colman,43.9835,-96.8148 +Twin Brooks,45.209,-96.7855 +Colton,43.7871,-96.928 +Harrisburg,43.4325,-96.7057 +Mud Butte,45.0047,-102.8777 +Fairview,43.2222,-96.4877 +Garden City,44.9592,-97.5806 +Wakpala,45.6572,-100.5351 +Marcus,44.658,-102.2732 +Wanblee,43.5706,-101.6627 +Iron Lightning,45.1797,-101.8463 +White Butte,45.9406,-102.3624 +Storla,43.8625,-98.3526 +Bristol,45.3466,-97.7485 +Castlewood,44.7242,-97.0309 +Mitchell,43.7294,-98.0336 +Carter,43.3872,-100.2026 +Mina,45.4333,-98.7587 +Pierre,44.3748,-100.3205 +Garretson,43.7148,-96.5026 +Johnson Siding,44.0846,-103.438 +Big Stone City,45.2985,-96.4657 +Richland,42.7639,-96.648 +Provo,43.1911,-103.8249 +Willow Lake,44.6279,-97.6386 +Custer,43.7677,-103.5989 +Vivian,43.9273,-100.3011 +Astoria,44.5577,-96.5465 +Green Grass,45.1714,-101.2573 +Fruitdale,44.6692,-103.6955 +Philip,44.0408,-101.6646 +Gayville,42.889,-97.1739 +Brandt,44.6669,-96.6252 +Hitchcock,44.6294,-98.4082 +Kirley,44.5236,-101.3118 +Opal,44.8917,-102.4504 +Sturgis,44.4111,-103.4975 +Corona,45.3352,-96.7646 +Tea,43.4515,-96.8346 +Tuthill,43.1558,-101.4938 +Plainview,44.6022,-102.1615 +Baltic,43.7603,-96.7371 +Tripp,43.2254,-97.966 +Alexandria,43.6539,-97.78 +Castle Rock,44.9644,-103.4244 +Armour,43.319,-98.3448 +Lowry,45.3155,-99.9812 +Cresbard,45.1692,-98.9478 +Bradley,45.0904,-97.642 +North Sioux City,42.5354,-96.4998 +Redowl,44.6978,-102.5532 +Thunder Butte,45.2128,-101.6702 +Badger,44.4855,-97.2079 +Wewela,43.0106,-99.7809 +Java,45.5037,-99.8839 +Herrick,43.115,-99.1882 +Saint Onge,44.5458,-103.7199 +Kidder,45.8817,-97.7138 +Brandon,43.5928,-96.5799 +Van Metre,44.1594,-100.7938 +Presho,43.9072,-100.0584 +Piedmont,44.2131,-103.3713 +Belvidere,43.8321,-101.2711 +Burke,43.1828,-99.2923 +Vienna,44.7032,-97.5 +Meadow View Addition,43.6233,-96.7023 +Draper,43.9262,-100.5372 +Tabor,42.9476,-97.6594 +Rockham,44.9043,-98.8234 +Maurine,45.023,-102.5935 +Newell,44.7174,-103.4184 +Flandreau,44.0465,-96.5983 +Conde,45.1573,-98.0955 +Lake Norden,44.5799,-97.2108 +Witten,43.4394,-100.0796 +Greenway,45.9097,-99.711 +Colonial Pine Hills,44.0142,-103.3145 +Wentworth,43.997,-96.9645 +Bryant,44.5899,-97.4671 +Mission Ridge,44.6919,-100.7957 +Eden,45.6169,-97.4198 +Gary,44.7941,-96.4574 +Glenham,45.533,-100.2711 +Lesterville,43.0386,-97.5906 +Chester,43.8996,-96.9277 +Davis,43.2595,-96.9945 +Oelrichs,43.182,-103.2334 +Kaylor,43.193,-97.8434 +Canning,44.3964,-100.0321 +Igloo,43.2025,-103.8569 +Renner Corner,43.6524,-96.7043 +Seneca,45.0608,-99.5092 +Madison,44.0062,-97.1084 +Ashland Heights,44.1294,-103.1286 +Amherst,45.738,-97.9212 +Bon Homme Colony,42.8642,-97.707 +Parmelee,43.3241,-101.041 +Pedro,44.42,-102.119 +Pine Lakes Addition,43.5511,-96.6354 +Midland,44.0711,-101.1554 +Dallas,43.2379,-99.5175 +Lower Brule,44.0741,-99.5837 +Scotland,43.1483,-97.7205 +Doland,44.8944,-98.0997 +Pollock,45.9005,-100.2884 +Letcher,43.8995,-98.1442 +Tulare,44.7382,-98.5089 +Cedar Butte,43.5769,-101.0185 +De Smet,44.3862,-97.5498 +Crooks,43.6594,-96.8092 +Belle Fourche,44.664,-103.8564 +Nisland,44.6731,-103.5539 +Deadwood,44.3871,-103.7207 +Hurley,43.2794,-97.0895 +Osceola,44.4675,-97.8387 +Walker,45.9103,-101.0904 +Ashton,44.9931,-98.4991 +Chelsea,45.1675,-98.7435 +Bullhead,45.7693,-101.0808 +Wall,43.9914,-102.2421 +Wessington Springs,44.0805,-98.5715 +Gettysburg,45.0059,-99.9537 +Mosher,43.4683,-100.2982 +Silver City,44.0844,-103.5638 +White Horse,43.3061,-100.5948 +Florence,45.0548,-97.3262 +Pine Ridge,43.0269,-102.5525 +Hudson,43.1301,-96.4556 +Mission,43.3063,-100.6609 +Rosholt,45.8662,-96.7316 +Virgil,44.2909,-98.4276 +Altamont,44.8408,-96.6901 +Hisle,43.4058,-101.7518 +Blunt,44.5159,-99.9885 +Springfield,42.8623,-97.8964 +Harding,45.3983,-103.8327 +Hazel,44.7582,-97.381 +Dell Rapids,43.8252,-96.7152 +Canova,43.8813,-97.504 +Morningside,44.3662,-98.1835 +Platte,43.3869,-98.8437 +Mount Vernon,43.7126,-98.261 +Dupree,45.0495,-101.6013 +Worthing,43.33,-96.7683 +Roscoe,45.4501,-99.337 +Agar,44.8397,-100.0732 +Troy,45.0375,-96.8653 +Iroquois,44.3679,-97.8495 +Artesian,44.0079,-97.9237 +Little Eagle,45.6832,-100.7967 +Timber Lake,45.4279,-101.0747 +Roswell,44.006,-97.6975 +Goodwill,45.5673,-97.0612 +Pierpont,45.4953,-97.8321 +Hill City,43.9338,-103.5693 +Stamford,43.895,-101.089 +Orient,44.9017,-99.0888 +Corsica,43.4223,-98.4073 From 360e76394110204cc92c717cf127b4653f11b24d Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Wed, 1 Sep 2021 14:09:46 +0530 Subject: [PATCH 002/116] v0.4.0 --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 074adc7..7069c13 100644 --- a/README.md +++ b/README.md @@ -37,7 +37,7 @@ It's good practice to follow accepted standards while coding in python: Also, it's a good idea to rate all our python scripts with [Pylint](https://www.pylint.org/). If we score anything less than 8/10, we should consider redesigning the code architecture. -A composite pylint ratings for all the codes are automatically computed when we [run the tests](./bin/runTests.sh) and prepended on top of this file. +A composite pylint ratings for all the codes are automatically computed when we [run the tests](./bin/run_tests.sh) and prepended on top of this file. #### Version control From 47ca973d52de702274335c2e0325ed01c1e28d90 Mon Sep 17 00:00:00 2001 From: Diptesh Date: Wed, 1 Sep 2021 14:23:33 +0530 Subject: [PATCH 003/116] Create LICENSE --- LICENSE | 29 +++++++++++++++++++++++++++++ 1 file changed, 29 insertions(+) create mode 100644 LICENSE diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..f2f2e08 --- /dev/null +++ b/LICENSE @@ -0,0 +1,29 @@ +BSD 3-Clause License + +Copyright (c) 2021, Diptesh +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + +1. Redistributions of source code must retain the above copyright notice, this + list of conditions and the following disclaimer. + +2. Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + +3. Neither the name of the copyright holder nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE +FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL +DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER +CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, +OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. From 69f8619c47b1394f0fbe81f65e1b2a4b6bb1d21d Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Thu, 2 Sep 2021 21:41:20 +0530 Subject: [PATCH 004/116] v0.4.0 --- .gitignore | 6 ++++ mllib/__init__.py | 27 ++++++++++++++ mllib/__main__.py | 70 ++++++++++++++++++++++++++++++++++++ mllib/lib/__init__.py | 27 ++++++++++++++ mllib/lib/cfg.py | 56 +++++++++++++++++++++++++++++ mllib/lib/utils.py | 82 +++++++++++++++++++++++++++++++++++++++++++ tests/__init__.py | 27 ++++++++++++++ tests/test_cluster.py | 74 ++++++++++++++++++++++++++++++++++++++ 8 files changed, 369 insertions(+) create mode 100644 .gitignore create mode 100644 mllib/__init__.py create mode 100644 mllib/__main__.py create mode 100644 mllib/lib/__init__.py create mode 100644 mllib/lib/cfg.py create mode 100644 mllib/lib/utils.py create mode 100644 tests/__init__.py create mode 100644 tests/test_cluster.py diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..37a0d3a --- /dev/null +++ b/.gitignore @@ -0,0 +1,6 @@ +__pycache__/ +metastore_db/ +.coverage +.DS_Store +gurobi.log +derby.log diff --git a/mllib/__init__.py b/mllib/__init__.py new file mode 100644 index 0000000..ba47ad4 --- /dev/null +++ b/mllib/__init__.py @@ -0,0 +1,27 @@ +""" +Initialization file for mllib. + +Credits +------- +:: + + Authors: + - Diptesh + + Date: Sep 01, 2021 +""" + +# pylint: disable=invalid-name +# pylint: disable=wrong-import-position + +import re +import sys + +from inspect import getsourcefile +from os.path import abspath + +# Set base path +path = abspath(getsourcefile(lambda: 0)) +path = re.sub(r"(.+)(\/mllib.*)", "\\1", path) + +sys.path.insert(0, path) diff --git a/mllib/__main__.py b/mllib/__main__.py new file mode 100644 index 0000000..396dacc --- /dev/null +++ b/mllib/__main__.py @@ -0,0 +1,70 @@ +""" +Machine Learning Library. + +Objective: + - Illustrate module APIs with some examples. + +Credits +------- +:: + + Authors: + - Diptesh + + Date: Sep 01, 2021 +""" + +# pylint: disable=invalid-name + +# ============================================================================= +# --- Import libraries +# ============================================================================= + +import argparse +import pandas as pd + +from lib import ( + cfg, + utils + ) # noqa: F841 + +# ============================================================================= +# --- DO NOT CHANGE ANYTHING FROM HERE +# ============================================================================= + +__version__ = cfg.__version__ +__doc__ = cfg.__doc__ +path = cfg.path + "data/" +elapsed_time = utils.elapsed_time + +sep = "-" * 70 +print(sep, "\n" + __doc__, "v" + __version__, "\n" + sep + "\n") + +# ============================================================================= +# --- Arguments +# +# filename: str +# ============================================================================= + +CLI = argparse.ArgumentParser() + +CLI.add_argument("-f", "--filename", + nargs=1, + type=str, + default=["store.csv"], + help="input csv filename") + +args = CLI.parse_args() + +# fn_ip = args.filename[0] +fn_ip = "store.csv" + +# ============================================================================= +# --- Main +# ============================================================================= + +if __name__ == '__main__': + pass + +df_ip = pd.read_csv(path + "input/" + fn_ip) +df_ip diff --git a/mllib/lib/__init__.py b/mllib/lib/__init__.py new file mode 100644 index 0000000..cdb5f64 --- /dev/null +++ b/mllib/lib/__init__.py @@ -0,0 +1,27 @@ +""" +Initialization file for mllib/lib. + +Credits +------- +:: + + Authors: + - Diptesh + + Date: Sep 01, 2021 +""" + +# pylint: disable=invalid-name +# pylint: disable=wrong-import-position + +import re +import sys + +from inspect import getsourcefile +from os.path import abspath + +# Set base path +path = abspath(getsourcefile(lambda: 0)) +path = re.sub(r"(.+)(\/mllib.*)", "\\1", path) + +sys.path.insert(0, path) diff --git a/mllib/lib/cfg.py b/mllib/lib/cfg.py new file mode 100644 index 0000000..8d1f966 --- /dev/null +++ b/mllib/lib/cfg.py @@ -0,0 +1,56 @@ +""" +cfg. + +Configuration file +------------------ + +Create module level variables for module ``mllib/lib``. + +Input +----- + +Change the following:: + + __version__ : str + __doc__ : str + module : str + +Output +------ + +The file sets the following variables: + +>>> __version__ +>>> __doc__ +>>> module +>>> hdfs +>>> path + +Credits +------- +:: + + Authors: + - Diptesh + + Date: Sep 01, 2021 +""" + +# pylint: disable=invalid-name + +import socket +import re + +from inspect import getsourcefile +from os.path import abspath + +__version__: str = "0.4.0" +__doc__: str = "Machine Learning Library" +module: str = "mllib" + +# Set environment +hdfs: bool = bool(re.match(r"[a-z0-9]+\..+\.com", socket.gethostname())) + +# Set module path +path = abspath(getsourcefile(lambda: 0)) +path = re.sub(r"(.+)(\/" + module + ".*)", r"\1/", path) diff --git a/mllib/lib/utils.py b/mllib/lib/utils.py new file mode 100644 index 0000000..cd6c09d --- /dev/null +++ b/mllib/lib/utils.py @@ -0,0 +1,82 @@ +""" +utils. + +Utlities module +----------------- + +**Available functions:** + +- :``elapsed_time``: Function to return elapsed time. + +Credits +------- +:: + + Authors: + - Diptesh + + Date: May 22, 2020 +""" + +# ============================================================================= +# --- Import libraries +# ============================================================================= + +import time + +# ============================================================================= +# --- DO NOT CHANGE ANYTHING FROM HERE +# ============================================================================= + +# pylint: disable=invalid-name +# pylint: disable=abstract-class-instantiated + +# ============================================================================= +# --- User defined functions +# ============================================================================= + + +def elapsed_time(text: str, + start_t: int, + sept: int = 70 + ) -> str: + """ + Return elapsed time. + + Parameters + ---------- + :text: str + + Text to be printed + + :start_t: int + + Generated from time.time_ns() + + :sept: int + + Length of text + + Returns + ------- + str + A string containing arg "text" followed by hours, minutes, seconds, + milliseconds. + + Example usage + ------------- + + >>> import time + >>> start = time.time_ns() + >>> time.sleep(2) + >>> elapsed_time("Time taken:", start) + Time taken: 00:00:02 000 ms + + """ + second, ms = divmod(round((time.time_ns() / 1e6) - (start_t / 1e6), 0), + 1000) + minute, second = divmod(second, 60) + hour, minute = divmod(minute, 60) + fn_op = text + str("%02d:%02d:%02d %03d ms" % (hour, minute, second, ms))\ + .rjust(sept - len(text)) + return fn_op diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..51799e5 --- /dev/null +++ b/tests/__init__.py @@ -0,0 +1,27 @@ +""" +Initialization file for unit tests. + +Credits +------- +:: + + Authors: + - Diptesh + + Date: Sep 01, 2021 +""" + +# pylint: disable=invalid-name +# pylint: disable=wrong-import-position + +import re +import sys + +from inspect import getsourcefile +from os.path import abspath + +# Set base path +path = abspath(getsourcefile(lambda: 0)) +path = re.sub(r"(.+)(\/tests.*)", "\\1", path) + +sys.path.insert(0, path) diff --git a/tests/test_cluster.py b/tests/test_cluster.py new file mode 100644 index 0000000..155cb4d --- /dev/null +++ b/tests/test_cluster.py @@ -0,0 +1,74 @@ +""" +Test suite module for ``Cluster``. + +Credits +------- +:: + + Authors: + - Diptesh + + Date: Sep 01, 2021 +""" + +# pylint: disable=invalid-name +# pylint: disable=wrong-import-position + +import unittest +import warnings +import re +import sys + +from inspect import getsourcefile +from os.path import abspath + +import pandas as pd +import numpy as np + +# Set base path +path = abspath(getsourcefile(lambda: 0)) +path = re.sub(r"(.+)(\/tests.*)", "\\1", path) + +sys.path.insert(0, path) + +from mllib.lib.cluster import Cluster # noqa: F841 + +# ============================================================================= +# --- DO NOT CHANGE ANYTHING FROM HERE +# ============================================================================= + +path = path + "/data/input/" + +# ============================================================================= +# --- User defined functions +# ============================================================================= + + +def ignore_warnings(test_func): + """Suppress deprecation warnings of pulp.""" + + def do_test(self, *args, **kwargs): + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + test_func(self, *args, **kwargs) + return do_test + + +class TestIntegrationCluster(unittest.TestCase): + """Test suite for module ``metric``.""" + + def setUp(self): + """Set up for module ``metric``.""" + + def test_categorical(self): + y = [1, 2, 3] + y_hat = [1, 5, 3] + self.assertEqual(1, 1) + + +# ============================================================================= +# --- Main +# ============================================================================= + +if __name__ == '__main__': + unittest.main() From 356cb41ff2e82232e954f8e4a56108cfb425a722 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Fri, 3 Sep 2021 19:29:30 +0530 Subject: [PATCH 005/116] v0.4.0 First draft of module Cluster --- mllib/__main__.py | 6 +-- mllib/lib/cluster.py | 124 +++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 127 insertions(+), 3 deletions(-) create mode 100644 mllib/lib/cluster.py diff --git a/mllib/__main__.py b/mllib/__main__.py index 396dacc..52d796e 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -23,6 +23,9 @@ import argparse import pandas as pd +from sklearn.cluster import KMeans +from sklearn.preprocessing import scale + from lib import ( cfg, utils @@ -65,6 +68,3 @@ if __name__ == '__main__': pass - -df_ip = pd.read_csv(path + "input/" + fn_ip) -df_ip diff --git a/mllib/lib/cluster.py b/mllib/lib/cluster.py new file mode 100644 index 0000000..796459c --- /dev/null +++ b/mllib/lib/cluster.py @@ -0,0 +1,124 @@ +"""Clustering module.""" + +import pandas as pd +import numpy as np + +from sklearn.cluster import KMeans +from sklearn.preprocessing import scale + +path = "/media/ph33r/Data/Project/mllib/dev/data/input/" + +fn_ip = "store.csv" + +x_var = ["x1"] +max_cluster = 10 +# method = "one_se" +method = "gap_max" +nrefs = 10 +seed = 1 + +df_ip = pd.read_csv(path + fn_ip) + +df = df_ip[x_var] + +max_cluster = min(max_cluster, len(df.drop_duplicates())) + + +def _nref(df): + """Docstring.""" + x_cat = df.select_dtypes(include=['object', 'bool']) + x_num = df.select_dtypes(include=['int', 'float64']) + if not x_cat.empty: + for i, c in enumerate(x_cat.columns): + cat_val_list = df[c].unique() + uniqu_val = len(cat_val_list) + temp_cnt = 0 + while temp_cnt != uniqu_val: + temp_d = np.random.choice(cat_val_list, + size=len(df), + p=[1.0/uniqu_val] * uniqu_val) + temp_cnt = len(set(temp_d)) + temp_d = pd.DataFrame(temp_d) + temp_d.columns = [c] + if i == 0: + x_cat_d = temp_d + else: + x_cat_d = x_cat_d.join(temp_d) + df_sample = x_cat_d + if not x_num.empty: + for i, c in enumerate(x_num.columns): + temp_d = np.random.uniform(low=min(df[c]), + high=max(df[c]), + size=len(df)) + temp_d = pd.DataFrame(temp_d) + temp_d.columns = [c] + if i == 0: + x_cont_d = temp_d + else: + x_cont_d = x_cont_d.join(temp_d) + if not x_cat.empty: + df_sample = df_sample.join(x_cont_d) + else: + df_sample = x_cont_d + df_sample = pd.get_dummies(data=df_sample, drop_first=True) + df_sample = pd.DataFrame(scale(df_sample)) + return df_sample + + +df_clus = pd.get_dummies(data=df, drop_first=True) +df_clus_ip = pd.DataFrame(scale(df_clus)) + +gaps = np.zeros(max_cluster) +sks = np.zeros(max_cluster) + +df_result = pd.DataFrame({"cluster": [], "gap": [], "sk": []}) + +for gap_index, k in enumerate(range(1, max_cluster+1)): + # Holder for reference dispersion results + ref_disps = np.zeros(nrefs) + # For n references, generate random sample and perform kmeans getting + # resulting dispersion of each loop + for i in range(nrefs): + # Create new random reference set + random_ref = _nref(df) + # Fit to it + km = KMeans(k, random_state=seed) + km.fit(random_ref) + ref_disp = km.inertia_ + ref_disps[i] = ref_disp + # Fit cluster to original data and create dispersion + km = KMeans(k, random_state=seed) + km.fit(df_clus_ip) + orig_disp = km.inertia_ + # Calculate gap statistic + if orig_disp > 0.0: + gap = np.log(np.mean(ref_disps)) - np.log(orig_disp) + else: + gap = np.inf + # Standard error + if sum(ref_disps) == 0.0: + sk = 0.0 + else: + sdk = np.std(np.log(ref_disps)) + sk = sdk * np.sqrt(1.0 + 1.0 / nrefs) + # Assign this loop's gap statistic and sk to gaps and sks + gaps[gap_index] = gap + sks[gap_index] = sk + # One SE + if method == "one_se": + if k > 1 and gaps[gap_index-1] >= gap - sk: + opt_k = k-1 + km = KMeans(opt_k, random_state=seed) + km.fit(df_clus_ip) + clus_op = km.labels_ + df_result = df_result.append({"cluster": k, + "gap": gap, + "sk": sk}, + ignore_index=True) + if method == "gap_max": + opt_k = np.argmax(gaps) + 1 + km = KMeans(opt_k, random_state=seed) + km.fit(df_clus_ip) + clus_op = km.labels_ + +df_result From c7bff3ebfd40209b42cdcdc3a5ab3e6bf7060ac2 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sat, 4 Sep 2021 14:36:40 +0530 Subject: [PATCH 006/116] v0.4.0 changelog: - Added singular variable x7 in store.csv - Computing single set of random reference set for all values of k in clustering module --- data/input/store.csv | 3686 +++++++++++++++++++++--------------------- mllib/lib/cluster.py | 16 +- 2 files changed, 1855 insertions(+), 1847 deletions(-) diff --git a/data/input/store.csv b/data/input/store.csv index d63c90e..5807415 100644 --- a/data/input/store.csv +++ b/data/input/store.csv @@ -1,1843 +1,1843 @@ -y,x1,x2,x3,x4,x5,x6 -3,R100 ,R131 ,17413.06,1.02,80844,5 -4,R100 ,R114 ,23290.41,1.36,82980,5 -5,R100 ,R163 ,18241.02,1.06,80933,5 -12,R100 ,R117 ,20692.01,1.21,69184,7 -13,R300 ,R352 ,8252.73,0.48,69674,6 -19,R100 ,R129 ,16169.47,0.94,74595,6 -26,R100 ,R117 ,20397.41,1.19,72984,7 -43,R300 ,R301 ,18933.64,1.1,81050,6 -48,R100 ,R175 ,14473.25,0.84,78121,8 -52,R100 ,R126 ,17470.96,1.02,73182,5 -55,R300 ,R352 ,11862.25,0.69,75618,6 -61,R100 ,R143 ,31066.83,1.81,79900,8 -64,R100 ,R176 ,26316.01,1.53,80978,8 -67,R300 ,R326 ,8210.73,0.48,74609,6 -68,R100 ,R102 ,13214,0.77,72394,5 -69,R100 ,R105 ,16713.05,0.97,72221,7 -75,R300 ,R311 ,11314.14,0.66,77492,6 -76,R100 ,R143 ,22717.36,1.32,79855,8 -78,R100 ,R147 ,11464.04,0.67,62523,5 -79,R100 ,R176 ,16834.94,0.98,74041,8 -80,R300 ,R326 ,11171.17,0.65,64431,6 -82,R100 ,R110 ,13369.59,0.78,80681,5 -83,R300 ,R352 ,8377.58,0.49,74591,6 -85,R100 ,R143 ,17766.32,1.04,59142,8 -86,R100 ,R127 ,14260.12,0.83,59850,7 -90,R300 ,R332 ,15633,0.91,76659,4 -93,R100 ,R179 ,14529.19,0.85,72158,8 -95,R300 ,R341 ,8524.54,0.5,73885,6 -96,R300 ,R322 ,10237.9,0.6,65671,6 -100,R100 ,R101 ,21131.13,1.23,87002,5 -108,R100 ,R140 ,15754.07,0.92,71622,5 -111,R100 ,R138 ,11261.98,0.66,66487,5 -137,R100 ,R147 ,15292.52,0.89,64431,5 -139,R100 ,R168 ,11471.15,0.67,64721,5 -144,R300 ,R333 ,10607.4,0.62,73295,4 -146,R300 ,R369 ,18405.68,1.07,81849,4 -147,R100 ,R177 ,12738.47,0.74,64658,8 -151,R300 ,R351 ,13956.32,0.81,76401,4 -152,R100 ,R150 ,12321.35,0.72,61912,5 -154,R100 ,R177 ,14698.64,0.86,77392,8 -158,R300 ,R303 ,10653.68,0.62,77114,6 -162,R100 ,R167 ,12722.31,0.74,62900,6 -164,R100 ,R176 ,11060.36,0.65,48505,8 -167,R300 ,R353 ,9746.49,0.57,64427,6 -171,R100 ,R161 ,17392.43,1.01,64978,8 -176,R300 ,R327 ,8160.21,0.48,54334,6 -183,R200 ,R219 ,13248.23,0.77,63185,9 -184,R200 ,R263 ,24366.54,1.42,69243,9 -188,R200 ,R248 ,11887.53,0.69,71593,9 -189,R200 ,R263 ,15584.92,0.91,59354,9 -190,R200 ,R263 ,24461.04,1.43,75264,9 -192,R200 ,R222 ,13160.46,0.77,76558,9 -193,R200 ,R222 ,14146.35,0.83,68708,9 -195,R200 ,R207 ,23764.51,1.39,72859,9 -198,R200 ,R239 ,23030.22,1.34,73725,9 -199,R200 ,R239 ,26726.84,1.56,75022,9 -200,R200 ,R239 ,21217.78,1.24,74377,9 -201,R200 ,R201 ,25958.87,1.51,73626,9 -203,R200 ,R201 ,16166.95,0.94,77253,9 -205,R200 ,R231 ,16046.88,0.94,59508,9 -212,R200 ,R232 ,14804.74,0.86,74467,9 -215,R100 ,R114 ,21632.8,1.26,81513,5 -217,R100 ,R107 ,18711.11,1.09,65702,7 -219,R300 ,R342 ,10912.68,0.64,63415,6 -220,R100 ,R101 ,19106.85,1.11,86457,5 -221,R300 ,R352 ,10463.51,0.61,72153,6 -222,R200 ,R217 ,12018.7,0.7,77076,9 -223,R100 ,R110 ,13154.64,0.77,73069,5 -224,R100 ,R176 ,14574.35,0.85,64499,8 -226,R200 ,R206 ,10126.04,0.59,78081,9 -227,R200 ,R217 ,15610.25,0.91,75351,9 -228,R200 ,R209 ,14994.32,0.87,65908,9 -229,R200 ,R222 ,19104.43,1.11,71296,9 -230,R200 ,R244 ,14022.91,0.82,75821,9 -233,R300 ,R377 ,11728.62,0.68,77536,9 -238,R100 ,R128 ,13388.86,0.78,65788,5 -239,R100 ,R118 ,16367.14,0.95,66234,7 -245,R200 ,R219 ,15621.46,0.91,66047,9 -246,R200 ,R209 ,15074.4,0.88,75764,9 -249,R200 ,R202 ,18977.52,1.11,65847,9 -250,R200 ,R202 ,15300.04,0.89,66600,9 -251,R300 ,R379 ,12822.92,0.75,73509,9 -253,R100 ,R161 ,15975.28,0.93,49740,8 -254,R300 ,R342 ,11721.89,0.68,49242,6 -255,R300 ,R352 ,8613.77,0.5,65457,6 -256,R100 ,R175 ,26823.57,1.56,72029,8 -257,R200 ,R219 ,16386,0.96,75789,9 -258,R200 ,R206 ,11366.3,0.66,66623,9 -259,R200 ,R261 ,18550.29,1.08,80244,9 -260,R100 ,R101 ,16117.45,0.94,63467,5 -264,R300 ,R373 ,12624.49,0.74,61072,9 -265,R300 ,R380 ,11977.66,0.7,81141,9 -267,R200 ,R220 ,17884.67,1.04,81103,9 -271,R100 ,R179 ,16025.48,0.93,76348,8 -273,R200 ,R218 ,16760.95,0.98,76899,9 -274,R200 ,R231 ,15577.34,0.91,71978,9 -275,R200 ,R213 ,12949.36,0.76,66256,9 -278,R100 ,R134 ,14748.05,0.86,75968,5 -279,R100 ,R137 ,11085.89,0.65,77477,5 -280,R100 ,R148 ,11631.64,0.68,76161,5 -281,R100 ,R148 ,9908.12,0.58,78235,5 -282,R100 ,R135 ,15323.94,0.89,73581,5 -286,R200 ,R222 ,14255.01,0.83,61242,9 -288,R200 ,R209 ,22006.37,1.28,81474,9 -289,R200 ,R222 ,14292.38,0.83,61433,9 -290,R200 ,R239 ,18461.78,1.08,86772,9 -291,R200 ,R232 ,13020.93,0.76,60322,9 -293,R200 ,R244 ,13748.59,0.8,62694,9 -294,R200 ,R219 ,21871.31,1.28,80926,9 -296,R200 ,R231 ,14391.37,0.84,67705,9 -298,R200 ,R240 ,16823.13,0.98,80350,9 -299,R200 ,R209 ,13201.29,0.77,65771,9 -300,R200 ,R261 ,12684.69,0.74,63788,9 -301,R200 ,R206 ,3620001.02,211.14,83815,9 -302,R200 ,R263 ,14625.95,0.85,63132,9 -303,R200 ,R261 ,14815.02,0.86,64181,9 -304,R200 ,R231 ,13578.56,0.79,64076,9 -305,R200 ,R231 ,15078.17,0.88,66946,9 -307,R200 ,R205 ,12927.6,0.75,76103,9 -309,R200 ,R240 ,13776.63,0.8,64878,9 -310,R200 ,R246 ,14322.45,0.84,67605,9 -311,R200 ,R220 ,18370.87,1.07,60950,9 -312,R200 ,R220 ,17400.32,1.01,74884,9 -313,R200 ,R246 ,22900.55,1.34,72559,9 -314,R200 ,R213 ,13669.59,0.8,62438,9 -317,R200 ,R208 ,23051.67,1.34,64525,9 -318,R200 ,R208 ,18353.7,1.07,78674,9 -319,R300 ,R379 ,13809.68,0.81,72008,9 -320,R200 ,R210 ,27109.95,1.58,86991,9 -321,R200 ,R210 ,16997.32,0.99,73450,9 -322,R200 ,R210 ,17208.92,1,64752,9 -323,R200 ,R233 ,15363.32,0.9,80548,9 -324,R200 ,R233 ,21284.51,1.24,86940,9 -328,R200 ,R237 ,43726.31,2.55,70781,9 -330,R200 ,R247 ,12027.58,0.7,68082,9 -331,R200 ,R247 ,17419.86,1.02,66921,9 -332,R200 ,R247 ,12368.4,0.72,65852,9 -335,R300 ,R305 ,11422.19,0.67,66727,6 -336,R200 ,R202 ,21101.16,1.23,71527,9 -337,R200 ,R264 ,14635.59,0.85,66550,10 -338,R200 ,R264 ,16602.57,0.97,76473,10 -339,R200 ,R265 ,16888.18,0.99,58755,10 -341,R200 ,R259 ,22173.45,1.29,76337,10 -342,R200 ,R259 ,15013.57,0.88,71806,10 -343,R200 ,R258 ,13540.57,0.79,75090,10 -344,R200 ,R258 ,19060.47,1.11,74577,10 -345,R200 ,R258 ,19543.35,1.14,76378,10 -346,R200 ,R260 ,22555.49,1.32,82049,10 -347,R100 ,R135 ,11678.05,0.68,65415,5 -348,R200 ,R264 ,16714.12,0.97,65578,10 -349,R200 ,R262 ,14038.88,0.82,66290,10 -350,R100 ,R135 ,12169.44,0.71,65379,5 -351,R100 ,R134 ,12084.35,0.7,66018,5 -353,R100 ,R137 ,12788.3,0.75,62972,5 -354,R100 ,R148 ,13587.71,0.79,76345,5 -355,R100 ,R144 ,11952.45,0.7,66017,7 -356,R300 ,R378 ,16005.66,0.93,69067,6 -357,R300 ,R378 ,16083.17,0.94,82732,6 -358,R200 ,R213 ,15717.28,0.92,67402,9 -359,R200 ,R205 ,22621.42,1.32,67096,9 -360,R100 ,R163 ,13269.87,0.77,74426,5 -361,R100 ,R137 ,10869.13,0.63,61750,5 -362,R200 ,R258 ,11993.62,0.7,66740,10 -363,R300 ,R377 ,17075.5,1,66706,9 -364,R100 ,R146 ,15159.91,0.88,66271,5 -365,R100 ,R137 ,13262.49,0.77,66062,5 -366,R100 ,R168 ,17256.12,1.01,65990,4 -373,R300 ,R334 ,14656.24,0.85,80648,4 -397,R100 ,R136 ,12922.53,0.75,67248,5 -530,R100 ,R107 ,19923.38,1.16,103457,7 -531,R100 ,R144 ,16151.47,0.94,84704,7 -532,R100 ,R107 ,17833.54,1.04,98036,7 -533,R100 ,R127 ,34191.9,1.99,89039,7 -604,R100 ,R136 ,14096.32,0.82,67111,5 -606,R200 ,R262 ,17183.87,1,66151,10 -607,R200 ,R262 ,14899.87,0.87,66057,10 -608,R200 ,R260 ,15644.36,0.91,66405,10 -609,R200 ,R260 ,11360.22,0.66,60279,10 -610,R100 ,R136 ,11809.55,0.69,66444,5 -611,R100 ,R137 ,11098.5,0.65,65653,5 -612,R200 ,R260 ,16885.54,0.98,74348,10 -613,R200 ,R260 ,12190.76,0.71,66333,10 -614,R200 ,R250 ,12850.16,0.75,66231,9 -615,R200 ,R208 ,13925.71,0.81,66575,9 -616,R100 ,R137 ,10833.78,0.63,66576,5 -617,R100 ,R161 ,20871.26,1.22,66088,10 -618,R100 ,R177 ,12361,0.72,50149,8 -619,R100 ,R126 ,19079.03,1.11,98794,5 -620,R100 ,R111 ,14951.87,0.87,67544,5 -622,R100 ,R148 ,11238.4,0.66,65458,5 -623,R100 ,R148 ,14675.69,0.86,66573,5 -624,R100 ,R148 ,11932.04,0.7,65750,5 -625,R300 ,R378 ,15289.87,0.89,75376,6 -626,R200 ,R237 ,13135.78,0.77,68252,9 -627,R200 ,R259 ,14874.91,0.87,66207,10 -628,R200 ,R262 ,18734.17,1.09,50594,10 -632,R100 ,R134 ,11463.05,0.67,66097,5 -634,R100 ,R148 ,15091.59,0.88,66189,5 -636,R100 ,R161 ,16625.41,0.97,66748,10 -637,R200 ,R259 ,13760.15,0.8,61785,10 -638,R300 ,R318 ,12475.7,0.73,66168,4 -639,R300 ,R374 ,12022.38,0.7,75334,9 -641,R200 ,R213 ,15340.49,0.89,75407,9 -642,R300 ,R310 ,16165.36,0.94,66799,4 -643,R100 ,R163 ,19057.3,1.11,92458,5 -645,R300 ,R315 ,11095.3,0.65,79182,4 -647,R300 ,R313 ,13955.94,0.81,75669,4 -649,R300 ,R324 ,15011.35,0.88,70602,4 -650,R300 ,R365 ,10206.04,0.6,66253,4 -652,R300 ,R314 ,13283.59,0.77,66845,4 -654,R300 ,R354 ,15300.77,0.89,76687,4 -655,R300 ,R314 ,13824.79,0.81,74609,4 -656,R300 ,R314 ,11401.5,0.66,73212,4 -657,R100 ,R114 ,16250.62,0.95,72026,5 -658,R100 ,R143 ,13334.06,0.78,56072,5 -659,R100 ,R114 ,14857.14,0.87,73784,5 -660,R200 ,R248 ,18044.54,1.05,82029,9 -661,R100 ,R131 ,11975.33,0.7,55260,5 -662,R100 ,R102 ,12920.75,0.75,73838,5 -663,R100 ,R111 ,14683.45,0.86,75436,5 -664,R100 ,R131 ,28491.6,1.66,90014,5 -665,R300 ,R354 ,12082.51,0.7,75447,4 -666,R100 ,R173 ,18710.74,1.09,85468,5 -669,R300 ,R315 ,13741.96,0.8,76207,4 -670,R100 ,R147 ,17538.55,1.02,85753,5 -671,R100 ,R136 ,15063.66,0.88,77104,5 -672,R100 ,R135 ,9472.64,0.55,56980,5 -673,R100 ,R148 ,12272.15,0.72,74994,5 -674,R100 ,R117 ,11906.48,0.69,74825,5 -675,R200 ,R247 ,12611.32,0.74,66790,9 -676,R200 ,R245 ,12996.93,0.76,76516,9 -677,R200 ,R244 ,15104.15,0.88,74961,9 -679,R100 ,R161 ,13577.39,0.79,56269,10 -680,R300 ,R380 ,12815.67,0.75,66975,9 -681,R200 ,R259 ,14110.54,0.82,75520,10 -682,R300 ,R332 ,14346.29,0.84,85748,4 -684,R300 ,R304 ,14466.89,0.84,74003,6 -685,R200 ,R219 ,14253.86,0.83,74776,9 -686,R300 ,R359 ,13970.9,0.81,74939,4 -687,R300 ,R324 ,22537.92,1.31,73964,4 -688,R300 ,R313 ,13191.38,0.77,74889,4 -689,R300 ,R360 ,11874.18,0.69,79256,4 -690,R300 ,R320 ,12607.31,0.74,75475,4 -692,R200 ,R212 ,16675.5,0.97,74657,9 -693,R100 ,R131 ,14323.35,0.84,75068,5 -694,R100 ,R102 ,19843.7,1.16,79452,5 -695,R300 ,R369 ,18813.73,1.1,79827,4 -696,R200 ,R264 ,11071.47,0.65,56332,10 -699,R100 ,R178 ,15547.59,0.91,75653,10 -700,R300 ,R376 ,13718.33,0.8,79122,9 -731,R100 ,R133 ,14704.79,0.86,80185,5 -732,R100 ,R121 ,16922.39,0.99,79893,5 -733,R100 ,R147 ,11778.71,0.69,56463,5 -734,R300 ,R348 ,13176.85,0.77,57593,4 -735,R300 ,R376 ,9886.67,0.58,65587,9 -736,R200 ,R232 ,14899.71,0.87,79654,9 -737,R200 ,R211 ,11658.33,0.68,79226,9 -738,R200 ,R218 ,12452.37,0.73,69457,9 -739,R100 ,R177 ,15816.5,0.92,74947,8 -740,R300 ,R348 ,13188.93,0.77,68100,4 -746,R300 ,R349 ,17283.73,1.01,82780,4 -747,R300 ,R346 ,12341.8,0.72,74525,4 -749,R300 ,R335 ,10602.2,0.62,83248,4 -750,R300 ,R348 ,16034.87,0.94,56541,4 -751,R100 ,R126 ,12347.29,0.72,75151,5 -752,R100 ,R118 ,12834.54,0.75,72085,7 -753,R100 ,R112 ,14159.83,0.83,75137,5 -754,R300 ,R331 ,13030.96,0.76,75437,4 -755,R300 ,R371 ,17954.69,1.05,81291,4 -756,R300 ,R351 ,12277.07,0.72,56090,4 -757,R100 ,R140 ,11394.52,0.66,71676,4 -758,R300 ,R321 ,9805.5,0.57,75314,6 -759,R400 ,R466 ,13812.66,0.81,82346,3 -760,R200 ,R265 ,12263.55,0.72,75243,10 -761,R200 ,R205 ,12517.46,0.73,79627,9 -762,R300 ,R355 ,13260.1,0.77,75079,4 -766,R200 ,R258 ,15063.67,0.88,57588,10 -767,R200 ,R206 ,11838.62,0.69,79816,9 -768,R100 ,R178 ,14300.03,0.83,79041,8 -769,R300 ,R374 ,12764.85,0.74,57193,6 -770,R300 ,R321 ,33605.62,1.96,75023,6 -771,R300 ,R327 ,12210.47,0.71,77443,6 -772,R400 ,R466 ,14169.17,0.83,79977,3 -773,R100 ,R140 ,10690.24,0.62,74470,5 -774,R100 ,R167 ,13946.17,0.81,70113,7 -775,R300 ,R302 ,11675,0.68,81270,6 -778,R300 ,R336 ,11251.62,0.66,83741,4 -779,R100 ,R168 ,10057.59,0.59,55763,4 -780,R100 ,R168 ,14748.17,0.86,75680,4 -792,R100 ,R174 ,12913.43,0.75,83730,5 -793,R100 ,R171 ,12900.57,0.75,82156,5 -794,R100 ,R171 ,18977.98,1.11,80586,5 -795,R300 ,R351 ,12827.42,0.75,74892,4 -796,R300 ,R335 ,12221.83,0.71,62396,4 -797,R300 ,R359 ,11817.54,0.69,75447,4 -798,R300 ,R314 ,11531.76,0.67,83273,4 -799,R300 ,R354 ,14277.17,0.83,80716,4 -800,R300 ,R304 ,15227.79,0.89,75364,6 -801,R300 ,R305 ,12687.79,0.74,74903,6 -802,R300 ,R305 ,10382.85,0.61,81104,6 -803,R100 ,R105 ,12177.95,0.71,73609,7 -804,R100 ,R111 ,14030.28,0.82,95593,7 -805,R100 ,R146 ,11351.29,0.66,55502,5 -806,R100 ,R146 ,11181.7,0.65,55848,5 -807,R100 ,R128 ,14802.49,0.86,75358,5 -808,R100 ,R128 ,14435.58,0.84,76023,5 -809,R100 ,R146 ,14463.27,0.84,75443,5 -810,R100 ,R150 ,18293.01,1.07,79359,5 -811,R300 ,R348 ,11270.38,0.66,74535,4 -812,R300 ,R354 ,13458.47,0.78,76779,4 -813,R300 ,R320 ,12430.83,0.73,83627,4 -815,R300 ,R318 ,18275.95,1.07,93937,4 -816,R300 ,R360 ,16732.91,0.98,83497,4 -817,R300 ,R354 ,12219.45,0.71,74986,4 -818,R300 ,R320 ,16331.83,0.95,95399,4 -819,R100 ,R134 ,14761.37,0.86,75749,5 -820,R100 ,R124 ,13094,0.76,74449,5 -821,R100 ,R114 ,13080.87,0.76,55736,5 -822,R300 ,R374 ,13598.9,0.79,73133,6 -823,R300 ,R374 ,10773.36,0.63,73354,6 -824,R300 ,R305 ,16570.77,0.97,73531,6 -825,R300 ,R375 ,21786.15,1.27,82399,9 -826,R300 ,R373 ,14130.02,0.82,77967,9 -827,R200 ,R247 ,14627.47,0.85,77096,9 -828,R200 ,R237 ,14267.82,0.83,79853,9 -830,R200 ,R265 ,14285.9,0.83,75195,10 -831,R100 ,R176 ,9757.66,0.57,54546,7 -832,R300 ,R378 ,10729.06,0.63,54430,6 -833,R100 ,R112 ,21095.08,1.23,94531,5 -834,R100 ,R122 ,10162.99,0.59,74093,5 -835,R100 ,R122 ,17435.22,1.02,95756,5 -836,R100 ,R122 ,18008.8,1.05,94990,5 -837,R100 ,R141 ,18986.37,1.11,74725,5 -838,R100 ,R115 ,16768.37,0.98,77118,5 -839,R100 ,R115 ,16029.09,0.93,81683,5 -840,R100 ,R115 ,18403.36,1.07,94895,5 -841,R100 ,R145 ,14517.66,0.85,73806,5 -842,R100 ,R121 ,13751.94,0.8,81006,5 -843,R100 ,R121 ,19472.96,1.14,73299,5 -844,R300 ,R348 ,18103.13,1.06,79801,4 -845,R300 ,R313 ,12493.38,0.73,75701,4 -847,R100 ,R114 ,17040.68,0.99,82758,5 -848,R100 ,R143 ,11848.11,0.69,56972,8 -849,R300 ,R374 ,15576.15,0.91,73085,6 -850,R300 ,R373 ,12381.32,0.72,75112,9 -851,R300 ,R375 ,10456.67,0.61,79594,9 -852,R200 ,R212 ,13930.61,0.81,75152,9 -853,R200 ,R246 ,14804.51,0.86,80007,9 -854,R300 ,R376 ,12662.51,0.74,79382,9 -855,R300 ,R376 ,12077.75,0.7,75102,9 -856,R100 ,R107 ,11568.85,0.67,56822,7 -857,R100 ,R107 ,12676.07,0.74,72247,7 -858,R300 ,R364 ,12123.38,0.71,81664,6 -859,R100 ,R143 ,11344.36,0.66,56053,8 -860,R100 ,R127 ,10387.94,0.61,57143,7 -861,R100 ,R131 ,14089.19,0.82,69349,5 -862,R100 ,R101 ,17025.68,0.99,75690,5 -863,R100 ,R128 ,16827.45,0.98,75267,5 -864,R100 ,R110 ,13243.49,0.77,57323,5 -865,R100 ,R150 ,16207.49,0.95,74598,5 -866,R100 ,R121 ,17452.99,1.02,74472,5 -867,R100 ,R115 ,15276.27,0.89,78734,5 -868,R100 ,R145 ,13700.88,0.8,72395,5 -870,R100 ,R133 ,14944.44,0.87,73340,5 -871,R100 ,R147 ,14713.99,0.86,75927,5 -872,R100 ,R137 ,19656.7,1.15,83744,5 -873,R300 ,R324 ,14953.98,0.87,82790,4 -874,R300 ,R313 ,11707.98,0.68,78991,4 -875,R300 ,R352 ,8397.58,0.49,80019,6 -876,R300 ,R321 ,7788.55,0.45,75175,6 -877,R300 ,R367 ,15207.69,0.89,79749,4 -878,R100 ,R105 ,12148.5,0.71,70402,7 -879,R100 ,R107 ,10502.31,0.61,57554,7 -880,R100 ,R122 ,14841.71,0.87,81730,5 -881,R100 ,R138 ,10260.59,0.6,75977,5 -882,R300 ,R303 ,13883.89,0.81,75518,6 -883,R200 ,R236 ,25053.52,1.46,80938,9 -884,R300 ,R377 ,12522.09,0.73,56068,9 -885,R100 ,R161 ,22473.63,1.31,83090,8 -887,R300 ,R303 ,11557.09,0.67,57918,6 -888,R300 ,R311 ,11238.45,0.66,70353,6 -891,R100 ,R127 ,10641.29,0.62,56494,5 -893,R100 ,R122 ,9777.19,0.57,75476,5 -894,R100 ,R121 ,12858.27,0.75,75096,5 -895,R100 ,R147 ,14090.52,0.82,68150,5 -896,R100 ,R135 ,15066.37,0.88,75471,5 -897,R300 ,R313 ,15443.46,0.9,79188,4 -898,R300 ,R313 ,11953.84,0.7,79408,4 -899,R300 ,R320 ,15640.01,0.91,79414,4 -901,R100 ,R136 ,13281.67,0.77,83241,5 -904,R100 ,R114 ,15871.84,0.93,83109,5 -905,R100 ,R129 ,11363.9,0.66,56016,7 -906,R100 ,R129 ,9824.93,0.57,56320,7 -907,R300 ,R364 ,12520.79,0.73,75033,6 -909,R300 ,R379 ,20735.77,1.21,78678,9 -910,R200 ,R258 ,17719.57,1.03,74972,10 -911,R200 ,R213 ,14027.57,0.82,83015,9 -912,R200 ,R206 ,12509.72,0.73,79722,9 -913,R200 ,R261 ,21092.98,1.23,80793,9 -914,R200 ,R261 ,17387.01,1.01,84371,9 -915,R100 ,R161 ,12881.37,0.75,57131,10 -917,R300 ,R346 ,16139.13,0.94,79750,4 -918,R300 ,R355 ,16759.65,0.98,79977,4 -919,R300 ,R314 ,10185.33,0.59,68358,4 -920,R300 ,R367 ,13588.43,0.79,79375,4 -921,R300 ,R332 ,15469.82,0.9,58807,4 -922,R100 ,R137 ,14012.34,0.82,77171,5 -923,R100 ,R148 ,14182.56,0.83,70222,5 -924,R100 ,R136 ,10767.7,0.63,56887,5 -926,R100 ,R127 ,13836.29,0.81,65842,5 -927,R100 ,R141 ,15681.73,0.91,83590,5 -928,R100 ,R141 ,15850.61,0.92,87622,5 -929,R100 ,R147 ,15001.34,0.87,70197,5 -930,R100 ,R114 ,14711.92,0.86,67846,5 -931,R100 ,R102 ,15310.65,0.89,75660,5 -935,R300 ,R377 ,17339.27,1.01,64122,9 -936,R300 ,R377 ,16544.2,0.96,79521,9 -937,R200 ,R212 ,20063.99,1.17,85010,9 -938,R200 ,R218 ,13301.26,0.78,80066,9 -939,R200 ,R248 ,16711.96,0.97,80185,9 -940,R200 ,R205 ,16258.42,0.95,79973,9 -941,R200 ,R245 ,16124.66,0.94,67592,9 -942,R100 ,R116 ,38219.99,2.23,96940,5 -943,R100 ,R147 ,18371.27,1.07,75469,5 -945,R100 ,R134 ,11838.7,0.69,59155,5 -947,R300 ,R352 ,8226.42,0.48,79824,6 -949,R200 ,R237 ,17603.78,1.03,85097,9 -950,R300 ,R379 ,13406.43,0.78,80012,9 -952,R300 ,R378 ,11938.23,0.7,66270,6 -953,R300 ,R304 ,10603.24,0.62,56116,6 -955,R300 ,R311 ,19753.34,1.15,74365,6 -957,R100 ,R115 ,11458.47,0.67,73816,5 -958,R300 ,R333 ,10952.48,0.64,56754,4 -959,R300 ,R333 ,9755.63,0.57,56667,4 -961,R300 ,R372 ,17747.27,1.04,81510,4 -962,R300 ,R371 ,11205.51,0.65,70079,4 -963,R300 ,R350 ,11458.97,0.67,58489,4 -964,R300 ,R371 ,11376.51,0.66,70045,4 -966,R300 ,R362 ,9217.09,0.54,62214,4 -967,R300 ,R315 ,14439.93,0.84,70385,4 -968,R300 ,R349 ,20125.68,1.17,83082,4 -969,R300 ,R334 ,9875.95,0.58,57011,4 -970,R300 ,R335 ,14499.95,0.85,75908,4 -981,R300 ,R334 ,13241.83,0.77,79540,4 -982,R300 ,R335 ,11540.62,0.67,74821,4 -984,R100 ,R171 ,14974.6,0.87,68595,5 -985,R100 ,R174 ,14832.65,0.87,75672,5 -986,R100 ,R171 ,11025.8,0.64,57584,5 -988,R100 ,R170 ,12355.24,0.72,63054,5 -989,R100 ,R169 ,11680.45,0.68,58275,5 -990,R100 ,R169 ,10210.04,0.6,57146,5 -992,R100 ,R117 ,14328.27,0.84,65440,7 -993,R300 ,R364 ,13744.05,0.8,74276,6 -995,R200 ,R264 ,20885.95,1.22,82546,10 -996,R200 ,R265 ,16589.49,0.97,75233,10 -997,R200 ,R201 ,15421.41,0.9,84558,9 -1000,R400 ,R411 ,14057.39,0.82,74789,3 -1001,R400 ,R411 ,13268.69,0.77,87398,3 -1002,R400 ,R411 ,16054.98,0.94,84630,3 -1003,R400 ,R415 ,14109.36,0.82,82540,3 -1004,R400 ,R415 ,11784.21,0.69,79136,3 -1005,R400 ,R466 ,12042.22,0.7,68204,3 -1006,R400 ,R412 ,17199.14,1,82372,3 -1007,R400 ,R448 ,14373.35,0.84,82088,3 -1008,R400 ,R415 ,13985.06,0.82,83379,3 -1009,R400 ,R441 ,14171.18,0.83,74705,3 -1010,R400 ,R416 ,14718.4,0.86,82060,2 -1011,R400 ,R416 ,12925.4,0.75,75375,2 -1012,R400 ,R416 ,11941.58,0.7,74898,2 -1013,R400 ,R416 ,13957.03,0.81,74932,2 -1014,R400 ,R416 ,11156.08,0.65,75024,2 -1015,R300 ,R371 ,15384.24,0.9,71263,4 -1016,R400 ,R417 ,13455.75,0.78,75665,3 -1017,R400 ,R417 ,12332.08,0.72,69990,3 -1018,R400 ,R417 ,20712.37,1.21,82804,3 -1019,R400 ,R417 ,11427,0.67,83081,3 -1021,R300 ,R370 ,14852.7,0.87,76304,3 -1022,R300 ,R371 ,13437.58,0.78,57277,4 -1023,R300 ,R354 ,15593.41,0.91,85795,4 -1024,R100 ,R115 ,21665.05,1.26,84615,5 -1025,R200 ,R246 ,13903.17,0.81,81194,9 -1026,R200 ,R247 ,12856.44,0.75,75357,9 -1027,R200 ,R240 ,21268.54,1.24,81889,9 -1028,R200 ,R217 ,15093.6,0.88,83790,9 -1029,R200 ,R231 ,23800.31,1.39,87063,9 -1030,R300 ,R332 ,15032.77,0.88,82969,4 -1031,R100 ,R167 ,21315.47,1.24,83823,7 -1032,R300 ,R352 ,9621.68,0.56,79793,6 -1033,R200 ,R263 ,13752.57,0.8,74564,9 -1034,R300 ,R378 ,15048.36,0.88,80008,6 -1035,R100 ,R118 ,16421.83,0.96,79010,7 -1036,R100 ,R150 ,15931.75,0.93,75424,5 -1037,R100 ,R172 ,13312.31,0.78,72938,5 -1038,R300 ,R367 ,20952.9,1.22,82276,4 -1039,R300 ,R349 ,21585.09,1.26,75780,4 -1040,R200 ,R261 ,17256.26,1.01,82212,9 -1041,R400 ,R417 ,13848.16,0.81,83308,3 -1042,R400 ,R448 ,22541.27,1.31,74488,3 -1043,R400 ,R411 ,9674.19,0.56,57629,3 -1044,R400 ,R448 ,18648.55,1.09,74381,3 -1045,R400 ,R411 ,12697.34,0.74,57680,3 -1046,R400 ,R448 ,15008.95,0.88,74546,3 -1047,R300 ,R370 ,17068.33,1,84460,3 -1048,R300 ,R370 ,12571.53,0.73,89661,3 -1049,R400 ,R417 ,19411.15,1.13,83480,3 -1050,R300 ,R360 ,13629.29,0.79,78543,4 -1051,R300 ,R354 ,14358.95,0.84,57784,4 -1052,R100 ,R136 ,13649.62,0.8,83128,5 -1053,R300 ,R360 ,10981.1,0.64,81251,4 -1054,R200 ,R210 ,16034.08,0.94,79288,9 -1055,R400 ,R419 ,15761.67,0.92,74162,2 -1056,R400 ,R467 ,19275.98,1.12,81604,2 -1057,R400 ,R416 ,19422.2,1.13,85123,2 -1058,R100 ,R169 ,26827.81,1.56,77525,5 -1059,R300 ,R333 ,11100.21,0.65,76026,4 -1060,R100 ,R146 ,18741.09,1.09,85682,5 -1061,R300 ,R322 ,27634.12,1.61,77934,6 -1062,R200 ,R245 ,19180.99,1.12,84643,9 -1063,R100 ,R138 ,15725.63,0.92,75663,5 -1064,R200 ,R265 ,11304.91,0.66,56919,10 -1065,R300 ,R302 ,8036.52,0.47,78622,6 -1066,R300 ,R341 ,10094.74,0.59,82977,6 -1068,R100 ,R111 ,11222.77,0.65,54672,5 -1069,R100 ,R146 ,13950.53,0.81,85092,5 -1070,R100 ,R150 ,11085.66,0.65,58193,5 -1071,R100 ,R168 ,14238.13,0.83,79308,4 -1072,R100 ,R169 ,20588.88,1.2,84598,5 -1073,R300 ,R336 ,10449.04,0.61,55976,4 -1074,R300 ,R367 ,15783.12,0.92,75181,4 -1075,R300 ,R349 ,11196.88,0.65,74087,4 -1076,R400 ,R412 ,22054.33,1.29,79882,3 -1077,R300 ,R358 ,12022.74,0.7,75830,4 -1078,R300 ,R358 ,12216.56,0.71,80443,4 -1079,R300 ,R358 ,10462.42,0.61,57122,4 -1080,R300 ,R372 ,12041.19,0.7,79206,4 -1081,R300 ,R362 ,10805.16,0.63,78940,4 -1082,R100 ,R178 ,13987.89,0.82,56530,10 -1083,R400 ,R451 ,10262.03,0.6,78939,2 -1084,R400 ,R419 ,14913.21,0.87,73647,2 -1085,R400 ,R422 ,17797.87,1.04,76086,2 -1086,R300 ,R358 ,14044.87,0.82,79541,4 -1087,R300 ,R355 ,14673.58,0.86,80952,4 -1088,R400 ,R441 ,18484.7,1.08,81178,3 -1090,R300 ,R337 ,15288.34,0.89,84845,4 -1091,R100 ,R172 ,14574.08,0.85,81192,5 -1092,R100 ,R172 ,16969.16,0.99,83984,5 -1094,R100 ,R168 ,13793.7,0.8,78733,4 -1095,R100 ,R126 ,14865.29,0.87,82374,5 -1096,R100 ,R111 ,12782.47,0.75,66120,5 -1097,R200 ,R208 ,14637.24,0.85,67586,9 -1098,R200 ,R220 ,13887.15,0.81,83914,9 -1100,R200 ,R240 ,21448.34,1.25,83303,9 -1101,R100 ,R117 ,14793.07,0.86,78536,7 -1102,R100 ,R118 ,23101.55,1.35,87697,7 -1103,R300 ,R370 ,25616.65,1.49,84246,3 -1104,R300 ,R371 ,11324.7,0.66,78459,4 -1105,R300 ,R370 ,12581.38,0.73,79341,3 -1106,R300 ,R334 ,11322.44,0.66,78249,4 -1107,R300 ,R371 ,14886.03,0.87,79096,4 -1108,R400 ,R424 ,11003.09,0.64,73761,2 -1109,R400 ,R450 ,14145,0.83,79394,2 -1110,R300 ,R310 ,12190.37,0.71,78641,4 -1112,R100 ,R170 ,14990.05,0.87,77496,5 -1113,R100 ,R127 ,20601.29,1.2,78812,7 -1114,R100 ,R167 ,13789.7,0.8,83990,6 -1115,R300 ,R304 ,12955.25,0.76,78319,6 -1116,R300 ,R306 ,10543.9,0.61,79008,6 -1117,R300 ,R378 ,13617.13,0.79,78255,6 -1118,R200 ,R264 ,22466.87,1.31,79799,10 -1120,R200 ,R240 ,13126.34,0.77,70788,9 -1121,R200 ,R220 ,22210.7,1.3,83934,9 -1122,R200 ,R210 ,18475.35,1.08,81029,9 -1124,R300 ,R364 ,12002.15,0.7,79023,6 -1125,R100 ,R112 ,12638.07,0.74,62204,5 -1126,R300 ,R333 ,13139.84,0.77,78886,4 -1128,R100 ,R173 ,14548.73,0.85,80305,5 -1129,R100 ,R173 ,13539.23,0.79,79721,5 -1131,R300 ,R354 ,14374.63,0.84,78799,4 -1132,R400 ,R422 ,14373.61,0.84,84626,2 -1133,R400 ,R422 ,14022.38,0.82,79655,2 -1134,R400 ,R453 ,15159.2,0.88,78859,3 -1135,R400 ,R462 ,19665.56,1.15,85269,3 -1136,R400 ,R453 ,13097.71,0.76,78977,3 -1137,R400 ,R448 ,15243.67,0.89,78353,3 -1138,R400 ,R448 ,17921.49,1.05,85901,3 -1139,R400 ,R455 ,27999.72,1.63,89058,2 -1140,R200 ,R201 ,16988.81,0.99,80860,9 -1141,R300 ,R377 ,12812.43,0.75,79106,9 -1142,R400 ,R411 ,15035.9,0.88,82658,3 -1143,R200 ,R245 ,12793.1,0.75,79506,9 -1144,R100 ,R124 ,21673.35,1.26,81623,5 -1146,R400 ,R453 ,33031.59,1.93,80804,3 -1147,R400 ,R455 ,14760.76,0.86,79867,2 -1148,R400 ,R424 ,13470.5,0.79,81984,2 -1150,R400 ,R469 ,25788.59,1.5,83349,2 -1151,R400 ,R450 ,15274.37,0.89,79397,2 -1152,R400 ,R419 ,13937.29,0.81,79011,2 -1153,R400 ,R450 ,23008.64,1.34,84564,2 -1154,R400 ,R450 ,16797.18,0.98,78819,2 -1155,R400 ,R419 ,13177.32,0.77,80978,2 -1156,R400 ,R467 ,17689.87,1.03,79459,2 -1157,R400 ,R416 ,13734.36,0.8,79557,2 -1158,R400 ,R422 ,13956.47,0.81,79348,2 -1159,R400 ,R421 ,18608.6,1.09,82152,3 -1160,R400 ,R430 ,11125.02,0.65,62480,3 -1161,R300 ,R370 ,13171.81,0.77,79065,3 -1162,R400 ,R457 ,14130.48,0.82,79301,3 -1163,R300 ,R318 ,18493.36,1.08,84345,4 -1164,R300 ,R336 ,10590.98,0.62,78743,4 -1165,R300 ,R334 ,12077.48,0.7,79712,4 -1166,R100 ,R150 ,14064.14,0.82,78521,5 -1167,R100 ,R112 ,17379.38,1.01,80765,5 -1168,R100 ,R112 ,18790.14,1.1,81642,5 -1169,R300 ,R332 ,11280.83,0.66,78478,4 -1170,R100 ,R105 ,15595.7,0.91,78914,7 -1171,R300 ,R380 ,17415.95,1.02,82328,9 -1172,R300 ,R336 ,9759.44,0.57,62950,4 -1175,R400 ,R446 ,18480.61,1.08,76110,2 -1176,R100 ,R112 ,17171.21,1,77791,5 -1177,R100 ,R123 ,15118.3,0.88,79774,7 -1178,R100 ,R176 ,12340.5,0.72,78861,8 -1179,R300 ,R340 ,15139.54,0.88,78851,4 -1180,R300 ,R358 ,13044.07,0.76,79698,4 -1181,R300 ,R362 ,10450.84,0.61,79400,4 -1182,R300 ,R337 ,16836.04,0.98,79479,4 -1183,R400 ,R462 ,13107.52,0.76,79279,3 -1184,R400 ,R450 ,9849.95,0.57,80286,2 -1185,R100 ,R126 ,17363.88,1.01,81612,5 -1186,R400 ,R452 ,15409.89,0.9,74371,1 -1187,R400 ,R452 ,20348.66,1.19,77961,1 -1188,R400 ,R428 ,13428.24,0.78,79648,1 -1189,R400 ,R428 ,14250.59,0.83,79736,1 -1190,R400 ,R470 ,12793.33,0.75,79611,1 -1191,R400 ,R424 ,12364.48,0.72,80719,2 -1192,R400 ,R450 ,14769.51,0.86,74289,2 -1193,R400 ,R448 ,19389.97,1.13,85733,3 -1194,R400 ,R416 ,13524.5,0.79,80037,2 -1195,R400 ,R467 ,14231.23,0.83,80267,2 -1196,R400 ,R421 ,15065.12,0.88,80017,3 -1197,R300 ,R335 ,21077.27,1.23,80742,4 -1198,R300 ,R337 ,13790.65,0.8,79458,4 -1199,R300 ,R337 ,12523.74,0.73,79304,4 -1200,R100 ,R172 ,13295.01,0.78,79646,4 -1201,R100 ,R123 ,13544,0.79,81430,7 -1204,R300 ,R327 ,11405.33,0.67,79878,6 -1205,R200 ,R262 ,14477.44,0.84,80534,10 -1206,R300 ,R346 ,14214.46,0.83,80243,4 -1207,R300 ,R373 ,20865.33,1.22,82256,9 -1208,R200 ,R211 ,22029.06,1.28,82114,9 -1209,R300 ,R379 ,14094.86,0.82,80224,9 -1210,R100 ,R131 ,10714.23,0.62,79360,5 -1211,R100 ,R111 ,14078.84,0.82,80387,5 -1212,R100 ,R128 ,14011.98,0.82,63259,5 -1213,R100 ,R121 ,12974.21,0.76,79146,5 -1214,R100 ,R140 ,8109.67,0.47,79013,5 -1215,R100 ,R174 ,10601.42,0.62,79046,5 -1216,R400 ,R454 ,14410.69,0.84,79294,3 -1217,R400 ,R430 ,16143.12,0.94,80165,3 -1218,R400 ,R430 ,11138.91,0.65,79979,3 -1219,R400 ,R454 ,15455.74,0.9,79945,3 -1220,R400 ,R454 ,12999.54,0.76,79354,3 -1221,R400 ,R431 ,13904,0.81,79928,3 -1222,R400 ,R431 ,16531.44,0.96,80225,3 -1223,R300 ,R336 ,14408.13,0.84,80433,4 -1224,R400 ,R419 ,10164.62,0.59,81838,2 -1225,R400 ,R417 ,13041.87,0.76,80551,3 -1226,R300 ,R371 ,11064.58,0.65,63020,4 -1227,R400 ,R447 ,11871.08,0.69,79768,1 -1228,R400 ,R468 ,17561.85,1.02,80552,1 -1229,R400 ,R452 ,18859.41,1.1,83211,1 -1230,R100 ,R161 ,19998.5,1.17,79519,10 -1231,R300 ,R302 ,9206.64,0.54,79375,6 -1232,R400 ,R439 ,14797.27,0.86,87986,1 -1233,R400 ,R415 ,11725.46,0.68,62042,3 -1234,R400 ,R457 ,13125.97,0.77,79367,3 -1235,R100 ,R102 ,14789.14,0.86,78414,5 -1236,R100 ,R173 ,16660.4,0.97,81797,5 -1237,R100 ,R161 ,24438.29,1.43,78241,8 -1238,R200 ,R202 ,18677.19,1.09,79905,9 -1239,R200 ,R220 ,11286.18,0.66,79193,9 -1241,R100 ,R118 ,14363.32,0.84,79052,7 -1242,R300 ,R375 ,14528.31,0.85,81165,9 -1244,R100 ,R124 ,13415.1,0.78,81303,5 -1246,R100 ,R128 ,10999.6,0.64,63183,5 -1247,R100 ,R128 ,16005.53,0.93,83242,5 -1248,R100 ,R128 ,15318.3,0.89,79830,5 -1249,R400 ,R439 ,14685.61,0.86,81453,1 -1250,R300 ,R351 ,12324.57,0.72,80155,4 -1251,R100 ,R134 ,14639.79,0.85,81741,5 -1252,R100 ,R173 ,14030.26,0.82,81000,5 -1253,R400 ,R454 ,14300.85,0.83,81697,3 -1254,R400 ,R431 ,15113.43,0.88,80391,3 -1255,R400 ,R439 ,16585.27,0.97,81167,1 -1256,R400 ,R421 ,14669.22,0.86,82210,3 -1257,R400 ,R448 ,13004.29,0.76,63664,3 -1258,R400 ,R415 ,14006.86,0.82,80424,3 -1259,R400 ,R430 ,14837.91,0.87,80493,3 -1260,R400 ,R461 ,14254.66,0.83,79752,3 -1261,R100 ,R169 ,17535.15,1.02,80978,3 -1263,R400 ,R446 ,11517.84,0.67,71425,2 -1264,R400 ,R455 ,17426.34,1.02,82748,2 -1265,R400 ,R411 ,13676.07,0.8,80181,3 -1266,R400 ,R452 ,17968.16,1.05,83686,1 -1267,R400 ,R439 ,14506.19,0.85,80481,1 -1268,R400 ,R438 ,16958.27,0.99,79959,2 -1269,R400 ,R421 ,18921.78,1.1,82963,3 -1270,R400 ,R454 ,13033.07,0.76,78340,3 -1271,R400 ,R438 ,17143.28,1,80121,2 -1272,R100 ,R101 ,15188.72,0.89,80758,5 -1273,R300 ,R359 ,13815.79,0.81,79850,4 -1274,R300 ,R359 ,12682.06,0.74,78868,4 -1275,R400 ,R457 ,15737.15,0.92,80027,3 -1278,R100 ,R117 ,13831.31,0.81,79474,7 -1279,R100 ,R117 ,14764.1,0.86,81064,7 -1280,R100 ,R118 ,16188.82,0.94,80452,7 -1281,R400 ,R468 ,12969.39,0.76,81367,1 -1282,R100 ,R161 ,12354.55,0.72,56298,8 -1283,R200 ,R205 ,15097.95,0.88,79886,9 -1284,R200 ,R264 ,25793.89,1.5,82810,10 -1285,R100 ,R148 ,14530.65,0.85,80626,5 -1286,R100 ,R133 ,15769.99,0.92,80906,5 -1287,R100 ,R170 ,13921.28,0.81,81542,3 -1288,R400 ,R430 ,15454.86,0.9,80472,3 -1289,R400 ,R439 ,19364.94,1.13,81467,1 -1290,R400 ,R452 ,11960.35,0.7,63834,1 -1291,R400 ,R421 ,12250.01,0.71,80365,3 -1292,R400 ,R457 ,16208.91,0.95,79934,3 -1293,R200 ,R202 ,22852.88,1.33,85522,9 -1294,R300 ,R313 ,17682.77,1.03,79679,4 -1295,R400 ,R412 ,13334.85,0.78,79468,3 -1296,R400 ,R451 ,16585.17,0.97,79249,2 -1298,R300 ,R350 ,14447.75,0.84,79876,4 -1299,R300 ,R314 ,15354.12,0.9,79715,4 -1300,R300 ,R315 ,15217.94,0.89,80226,4 -1301,R100 ,R171 ,14515.28,0.85,80208,5 -1302,R300 ,R333 ,23175.96,1.35,79567,4 -1303,R100 ,R124 ,13451.41,0.78,81107,5 -1304,R200 ,R218 ,16774.45,0.98,81102,9 -1305,R200 ,R222 ,20472.84,1.19,86040,9 -1306,R200 ,R204 ,32559.93,1.9,91970,9 -1307,R200 ,R209 ,21987.41,1.28,83980,9 -1308,R400 ,R470 ,18482.67,1.08,83345,1 -1309,R200 ,R209 ,15277.8,0.89,81646,9 -1310,R300 ,R337 ,11012.4,0.64,79479,4 -1311,R100 ,R110 ,14029.58,0.82,82227,5 -1312,R400 ,R453 ,14622.92,0.85,80088,3 -1313,R100 ,R135 ,23476.69,1.37,86317,5 -1314,R100 ,R117 ,14457.01,0.84,80920,7 -1315,R400 ,R419 ,11562.07,0.67,80625,2 -1316,R300 ,R376 ,13610.25,0.79,80978,9 -1317,R100 ,R148 ,12925.82,0.75,81033,5 -1318,R400 ,R451 ,16736.78,0.98,78508,2 -1319,R300 ,R337 ,12855.22,0.75,80331,4 -1322,R300 ,R369 ,13086.18,0.76,79663,4 -1323,R100 ,R122 ,14305.24,0.83,95195,5 -1324,R100 ,R170 ,13496.36,0.79,81663,5 -1325,R100 ,R174 ,14430.11,0.84,81330,5 -1326,R100 ,R177 ,15237.48,0.89,79425,8 -1327,R300 ,R377 ,12630.56,0.74,80721,9 -1328,R200 ,R222 ,23358.4,1.36,81521,9 -1329,R200 ,R239 ,17148.27,1,82561,9 -1330,R400 ,R446 ,15806.71,0.92,80652,2 -1331,R200 ,R264 ,14018.96,0.82,81655,10 -1332,R200 ,R236 ,21445.53,1.25,82277,9 -1333,R100 ,R161 ,16263.73,0.95,79126,8 -1334,R100 ,R128 ,17864.74,1.04,80908,5 -1335,R300 ,R375 ,15171.29,0.88,80519,9 -1336,R300 ,R311 ,24842.32,1.45,95996,6 -1337,R300 ,R318 ,12336.16,0.72,85393,4 -1338,R400 ,R447 ,17778.52,1.04,80001,1 -1339,R300 ,R306 ,21062.07,1.23,93983,6 -1340,R200 ,R217 ,16611.88,0.97,84922,9 -1341,R400 ,R466 ,18120.18,1.06,81178,3 -1342,R100 ,R141 ,15531.83,0.91,81296,5 -1344,R400 ,R469 ,22846.31,1.33,82594,2 -1345,R400 ,R450 ,13408.56,0.78,80360,2 -1346,R300 ,R369 ,14549.77,0.85,94357,4 -1347,R300 ,R353 ,12193.9,0.71,94361,6 -1348,R400 ,R468 ,15041.11,0.88,80072,1 -1349,R300 ,R337 ,13841.34,0.81,79596,4 -1350,R100 ,R138 ,30718.17,1.79,95521,5 -1351,R100 ,R111 ,24733.96,1.44,100835,5 -1352,R100 ,R101 ,19718.35,1.15,94257,5 -1353,R100 ,R118 ,15134.69,0.88,84225,7 -1354,R300 ,R327 ,17198.42,1,94215,6 -1355,R200 ,R262 ,15925.03,0.93,80115,10 -1356,R100 ,R101 ,21051.73,1.23,103397,5 -1357,R300 ,R373 ,13590.44,0.79,79802,8 -1358,R400 ,R459 ,10900.3,0.64,77528,2 -1359,R300 ,R311 ,14125.21,0.82,95097,6 -1360,R300 ,R377 ,18079.46,1.05,85527,9 -1361,R300 ,R375 ,13041.25,0.76,82293,9 -1362,R200 ,R236 ,31221.44,1.82,85097,9 -1363,R200 ,R220 ,16885.45,0.98,85327,9 -1364,R100 ,R140 ,15796.29,0.92,95279,5 -1365,R400 ,R422 ,16904.97,0.99,79025,2 -1366,R100 ,R138 ,19422.64,1.13,95278,5 -1367,R300 ,R369 ,21935.64,1.28,95279,4 -1368,R300 ,R321 ,15959.63,0.93,95107,6 -1369,R300 ,R353 ,20938.86,1.22,97765,6 -1370,R300 ,R351 ,21402.18,1.25,94830,4 -1371,R300 ,R355 ,18402.2,1.07,78748,4 -1372,R100 ,R175 ,18704.56,1.09,98021,8 -1373,R400 ,R460 ,12884.8,0.75,80056,1 -1374,R400 ,R428 ,15221.4,0.89,80795,1 -1375,R100 ,R126 ,18618.96,1.09,83566,5 -1376,R300 ,R359 ,17153.75,1,94993,4 -1377,R300 ,R303 ,14410.68,0.84,95711,6 -1378,R400 ,R450 ,19715.08,1.15,85219,2 -1380,R300 ,R346 ,47074.8,2.75,79595,4 -1381,R100 ,R171 ,12612.89,0.74,80521,5 -1382,R300 ,R314 ,34903.38,2.04,94993,4 -1383,R200 ,R244 ,15240.51,0.89,85622,9 -1384,R200 ,R250 ,34506.5,2.01,85650,9 -1385,R100 ,R112 ,15226.12,0.89,80772,5 -1386,R300 ,R374 ,14175.13,0.83,80878,9 -1388,R100 ,R123 ,13260.85,0.77,80152,7 -1389,R400 ,R422 ,13918.33,0.81,81639,2 -1390,R300 ,R346 ,15809.78,0.92,79934,4 -1391,R300 ,R350 ,15032.69,0.88,79377,4 -1392,R100 ,R123 ,31337.39,1.83,95000,7 -1393,R100 ,R172 ,13678.93,0.8,79856,5 -1394,R300 ,R335 ,14994.85,0.87,95605,4 -1395,R300 ,R326 ,13013.86,0.76,95743,6 -1396,R300 ,R303 ,17825.5,1.04,95078,6 -1397,R300 ,R301 ,15724.42,0.92,94846,6 -1398,R300 ,R301 ,24879.51,1.45,94864,6 -1399,R300 ,R353 ,14691.16,0.86,79472,6 -1400,R300 ,R336 ,13578.61,0.79,95628,4 -1401,R400 ,R469 ,17203.32,1,84844,2 -1402,R100 ,R115 ,13736.85,0.8,79895,5 -1403,R100 ,R115 ,13620.81,0.79,84794,5 -1404,R400 ,R428 ,13940.57,0.81,79683,1 -1405,R200 ,R260 ,13101.65,0.76,79864,10 -1406,R200 ,R260 ,15898.42,0.93,78002,10 -1407,R200 ,R210 ,20547.2,1.2,76106,9 -1408,R200 ,R236 ,27562.74,1.61,77741,9 -1409,R200 ,R207 ,27878.23,1.63,84687,9 -1410,R200 ,R201 ,32452.36,1.89,88936,9 -1411,R200 ,R263 ,16017.4,0.93,79155,9 -1413,R100 ,R175 ,15207.33,0.89,85438,8 -1414,R400 ,R430 ,13957.06,0.81,77501,3 -1415,R400 ,R448 ,18922.65,1.1,82904,3 -1416,R400 ,R441 ,14708.29,0.86,80098,3 -1417,R200 ,R213 ,15727.61,0.92,81041,9 -1418,R200 ,R244 ,16708.99,0.97,78174,9 -1419,R200 ,R260 ,18432.1,1.08,81868,10 -1420,R300 ,R370 ,11546.59,0.67,62802,3 -1421,R200 ,R260 ,17185.44,1,79427,9 -1422,R200 ,R237 ,20517.5,1.2,78465,9 -1423,R200 ,R206 ,13769.65,0.8,77332,9 -1424,R200 ,R217 ,19904.37,1.16,80465,9 -1425,R200 ,R263 ,20894.31,1.22,78662,9 -1426,R200 ,R237 ,18938.16,1.1,79716,9 -1427,R200 ,R233 ,20566.2,1.2,88324,9 -1428,R200 ,R211 ,19987.72,1.17,78509,9 -1429,R300 ,R379 ,12286.66,0.72,80337,9 -1430,R300 ,R326 ,12633.06,0.74,94626,6 -1431,R400 ,R441 ,26944.05,1.57,90013,3 -1432,R300 ,R377 ,13568.45,0.79,79816,9 -1435,R300 ,R364 ,15195.82,0.89,81361,6 -1436,R100 ,R144 ,22996.24,1.34,78564,7 -1437,R100 ,R141 ,20784.42,1.21,92520,5 -1438,R200 ,R247 ,11378.66,0.66,59126,9 -1439,R300 ,R376 ,16151.14,0.94,79653,9 -1441,R400 ,R429 ,11597.57,0.68,60789,1 -1442,R400 ,R429 ,31402.58,1.83,90993,1 -1443,R400 ,R462 ,19582.85,1.14,73075,3 -1444,R200 ,R258 ,41456.43,2.42,79606,10 -1445,R100 ,R133 ,21046.09,1.23,94300,5 -1446,R100 ,R133 ,12958.75,0.76,77910,5 -1447,R100 ,R172 ,13750.87,0.8,79846,5 -1448,R100 ,R124 ,20413.45,1.19,94866,5 -1449,R300 ,R331 ,19998.13,1.17,82829,6 -1450,R300 ,R331 ,15567.47,0.91,79546,6 -1451,R300 ,R331 ,13618.26,0.79,79783,6 -1452,R300 ,R337 ,13203.65,0.77,80883,4 -1453,R300 ,R346 ,16843.49,0.98,80290,4 -1454,R300 ,R320 ,15849.37,0.92,80019,4 -1455,R100 ,R123 ,19161.4,1.12,94722,7 -1456,R100 ,R124 ,17681.74,1.03,94306,5 -1457,R300 ,R304 ,11364.39,0.66,94628,6 -1458,R300 ,R304 ,17584.32,1.03,94658,6 -1459,R300 ,R303 ,18111.48,1.06,94434,6 -1460,R100 ,R145 ,11495.93,0.67,79898,5 -1461,R300 ,R346 ,14904.54,0.87,94871,4 -1462,R300 ,R373 ,14882.73,0.87,83934,9 -1463,R100 ,R171 ,15408.63,0.9,80236,5 -1464,R400 ,R461 ,11662.73,0.68,80767,2 -1465,R100 ,R137 ,16060.82,0.94,80600,5 -1466,R100 ,R134 ,15546.77,0.91,80184,5 -1467,R400 ,R419 ,15155.51,0.88,80047,2 -1468,R300 ,R348 ,18186.62,1.06,82108,4 -1469,R300 ,R353 ,61312.57,3.58,80610,6 -1470,R100 ,R167 ,16364.57,0.95,79786,6 -1471,R100 ,R175 ,15954.86,0.93,95756,8 -1472,R200 ,R211 ,13471.26,0.79,77852,9 -1473,R300 ,R353 ,19010.14,1.11,95348,6 -1474,R400 ,R461 ,15159.92,0.88,79873,3 -1475,R400 ,R467 ,13767,0.8,80833,2 -1476,R400 ,R467 ,14527.01,0.85,79280,2 -1477,R400 ,R438 ,15080.73,0.88,79713,2 -1478,R100 ,R169 ,13882.8,0.81,79796,3 -1479,R100 ,R168 ,12891.86,0.75,79728,4 -1480,R300 ,R367 ,13070.76,0.76,80034,4 -1481,R100 ,R140 ,19755.47,1.15,84260,5 -1482,R100 ,R136 ,14472.82,0.84,80809,5 -1483,R100 ,R128 ,14561.18,0.85,79837,5 -1484,R100 ,R163 ,18753.39,1.09,94822,5 -1485,R200 ,R231 ,18068.32,1.05,80187,9 -1486,R300 ,R335 ,18023.41,1.05,84388,4 -1487,R100 ,R144 ,20972.67,1.22,84348,7 -1489,R300 ,R302 ,12780.93,0.75,94372,6 -1490,R300 ,R305 ,13568.24,0.79,79570,6 -1491,R400 ,R446 ,16934.42,0.99,79942,2 -1492,R400 ,R467 ,14625.56,0.85,79907,2 -1493,R300 ,R350 ,16529.17,0.96,81017,4 -1495,R400 ,R428 ,14986.81,0.87,79343,1 -1496,R400 ,R468 ,13230.69,0.77,78045,1 -1497,R300 ,R315 ,11006.6,0.64,79928,4 -1499,R300 ,R340 ,14006.27,0.82,80166,4 -1500,R100 ,R179 ,20110.3,1.17,94844,8 -1501,R100 ,R177 ,20363.69,1.19,94939,8 -1502,R200 ,R208 ,21349.7,1.25,85173,9 -1504,R300 ,R372 ,19012.51,1.11,94142,4 -1505,R300 ,R362 ,20788.14,1.21,94433,4 -1506,R300 ,R321 ,28557.96,1.67,79612,6 -1507,R200 ,R211 ,10823.89,0.63,82990,9 -1508,R400 ,R467 ,17396.41,1.01,79605,2 -1509,R100 ,R117 ,18392.96,1.07,79962,7 -1510,R400 ,R461 ,11503.86,0.67,85690,3 -1511,R300 ,R333 ,18266.55,1.07,80047,4 -1512,R300 ,R367 ,18369.17,1.07,94925,4 -1513,R100 ,R168 ,12302.6,0.72,79288,4 -1514,R300 ,R321 ,11305.94,0.66,94433,6 -1515,R100 ,R117 ,17495.95,1.02,82714,7 -1516,R400 ,R468 ,10656.16,0.62,79472,1 -1517,R300 ,R321 ,13371.28,0.78,94433,6 -1518,R300 ,R365 ,17623.12,1.03,91271,4 -1519,R300 ,R324 ,16814.27,0.98,94293,4 -1520,R400 ,R447 ,13936.58,0.81,79488,1 -1521,R400 ,R438 ,13481.91,0.79,79709,2 -1522,R100 ,R111 ,12006.22,0.7,79527,5 -1523,R300 ,R327 ,14753.24,0.86,94693,6 -1524,R300 ,R380 ,18225.45,1.06,84745,9 -1525,R100 ,R179 ,17651.41,1.03,79686,8 -1526,R200 ,R218 ,15836.53,0.92,79652,9 -1527,R200 ,R246 ,13418.91,0.78,79960,9 -1528,R400 ,R459 ,12496,0.73,79482,1 -1529,R300 ,R350 ,13856.34,0.81,79914,4 -1530,R100 ,R138 ,14005.68,0.82,78964,5 -1531,R300 ,R306 ,12549.21,0.73,85562,6 -1532,R400 ,R468 ,14153.75,0.83,79596,1 -1533,R400 ,R441 ,13093.09,0.76,79856,3 -1534,R100 ,R172 ,14811.02,0.86,81127,5 -1535,R300 ,R303 ,11991.54,0.7,79278,6 -1536,R300 ,R306 ,13411.79,0.78,94415,6 -1537,R100 ,R107 ,13158.31,0.77,79801,7 -1538,R100 ,R123 ,13557.97,0.79,79756,7 -1539,R100 ,R117 ,17090.09,1,79948,5 -1540,R100 ,R161 ,20973.79,1.22,78853,8 -1541,R400 ,R411 ,12628.49,0.74,80594,3 -1542,R300 ,R341 ,11343.29,0.66,78324,6 -1543,R100 ,R144 ,11447.45,0.67,79848,7 -1544,R400 ,R459 ,18982.28,1.11,86453,1 -1545,R100 ,R172 ,13674.89,0.8,80832,5 -1546,R300 ,R336 ,13927.83,0.81,81677,4 -1547,R200 ,R240 ,16454.87,0.96,79638,9 -1548,R200 ,R232 ,14052.03,0.82,80193,9 -1750,R100 ,R178 ,16773.24,0.98,86701,8 -1751,R100 ,R178 ,25765.46,1.5,96518,8 -1752,R100 ,R178 ,23523.94,1.37,90711,8 -1753,R100 ,R178 ,17863.16,1.04,86804,8 -1754,R100 ,R178 ,30769.6,1.79,95329,8 -1755,R100 ,R178 ,19087.56,1.11,93951,8 -1756,R100 ,R144 ,22257.67,1.3,94759,7 -1757,R100 ,R144 ,18282.25,1.07,99554,7 -1759,R100 ,R144 ,14250.34,0.83,105819,7 -1760,R300 ,R365 ,22732.47,1.33,95022,4 -1761,R300 ,R334 ,15610.46,0.91,114596,4 -1762,R100 ,R138 ,17159.27,1,115418,5 -1763,R300 ,R326 ,13275.82,0.77,114551,6 -1764,R300 ,R326 ,17831.69,1.04,95616,6 -1765,R300 ,R342 ,15134.86,0.88,95689,6 -1766,R300 ,R321 ,10585.66,0.62,97674,6 -1767,R100 ,R105 ,19927.12,1.16,114575,7 -1768,R100 ,R127 ,21937.37,1.28,94945,7 -1769,R100 ,R176 ,19421.32,1.13,95171,8 -1770,R300 ,R342 ,14799.48,0.86,96337,6 -1771,R100 ,R127 ,15920.12,0.93,90966,7 -1772,R300 ,R340 ,19001.11,1.11,93637,4 -1773,R300 ,R340 ,15456.68,0.9,93900,4 -1774,R100 ,R111 ,18948.96,1.11,91645,5 -1775,R300 ,R326 ,12125.78,0.71,94203,6 -1776,R100 ,R179 ,24149.73,1.41,104154,8 -1777,R100 ,R107 ,20862.76,1.22,106299,7 -1780,R300 ,R334 ,14634.57,0.85,105923,4 -1782,R100 ,R129 ,17875.93,1.04,94771,6 -1783,R100 ,R143 ,28589.57,1.67,96198,8 -1784,R300 ,R352 ,17720.69,1.03,99779,6 -1785,R300 ,R327 ,12582.66,0.73,106014,6 -1786,R300 ,R311 ,17185.12,1,106365,6 -1787,R300 ,R340 ,23508.66,1.37,95013,4 -1788,R100 ,R140 ,15308.04,0.89,94299,5 -1789,R100 ,R140 ,15136.51,0.88,94300,5 -1790,R300 ,R365 ,12762.2,0.74,95242,4 -1791,R100 ,R105 ,22070.27,1.29,94718,7 -1792,R100 ,R127 ,15316.64,0.89,93817,7 -1793,R300 ,R355 ,17968.3,1.05,79483,4 -1794,R300 ,R372 ,12133.4,0.71,83246,4 -1795,R300 ,R313 ,15159.33,0.88,94246,4 -1796,R400 ,R438 ,14209.43,0.83,81114,2 -1797,R300 ,R341 ,11456.25,0.67,94441,6 -1798,R400 ,R459 ,19742.26,1.15,83870,2 -1799,R100 ,R150 ,14874.78,0.87,81010,5 -1800,R100 ,R143 ,20985.04,1.22,84973,7 -1801,R100 ,R150 ,20024.08,1.17,94203,5 -1802,R400 ,R439 ,12412.8,0.72,81304,1 -1803,R400 ,R452 ,9338.3,0.54,60555,1 -1804,R100 ,R170 ,17151.46,1,85860,5 -1805,R200 ,R250 ,18451.28,1.08,84906,9 -1806,R100 ,R175 ,41996.76,2.45,100176,8 -1807,R300 ,R362 ,13394.1,0.78,79707,4 -1808,R400 ,R451 ,20509.07,1.2,77582,2 -1809,R400 ,R462 ,13882.08,0.81,84651,3 -1811,R300 ,R302 ,11217.03,0.65,79484,6 -1812,R300 ,R322 ,12568.03,0.73,79062,6 -1813,R100 ,R176 ,14444.1,0.84,80168,8 -1814,R100 ,R178 ,20852.4,1.22,79720,8 -1815,R200 ,R201 ,14787.12,0.86,79263,9 -1816,R200 ,R201 ,12240.58,0.71,79941,9 -1818,R400 ,R424 ,10957.5,0.64,79808,2 -1819,R200 ,R247 ,16986.94,0.99,84587,9 -1820,R300 ,R314 ,20989.38,1.22,94933,4 -1821,R100 ,R144 ,16587.3,0.97,80224,7 -1822,R400 ,R446 ,19931.96,1.16,82510,2 -1823,R400 ,R450 ,14976.72,0.87,79982,2 -1824,R300 ,R371 ,12920.74,0.75,80565,4 -1825,R300 ,R340 ,13347.57,0.78,79593,4 -1826,R300 ,R372 ,15716.27,0.92,94925,4 -1827,R400 ,R441 ,13591.57,0.79,84993,3 -1828,R400 ,R454 ,12540.36,0.73,79270,3 -1829,R300 ,R350 ,13630.58,0.8,80245,4 -1830,R400 ,R438 ,12367.52,0.72,80374,2 -1831,R100 ,R124 ,21141.71,1.23,95562,5 -1832,R100 ,R124 ,23621.85,1.38,96302,5 -1833,R100 ,R101 ,19920.1,1.16,95199,5 -1834,R200 ,R206 ,18203.97,1.06,79823,9 -1835,R400 ,R468 ,16198.49,0.94,79307,1 -1836,R300 ,R306 ,13824.79,0.81,94702,6 -1837,R300 ,R303 ,22022.48,1.28,94604,6 -1838,R300 ,R379 ,15196.1,0.89,84238,9 -1839,R400 ,R439 ,17488.48,1.02,77649,1 -1840,R100 ,R123 ,14105.68,0.82,94868,7 -1841,R100 ,R170 ,14982.58,0.87,80132,5 -1842,R100 ,R144 ,13679.32,0.8,80824,7 -1843,R200 ,R232 ,13696.45,0.8,80081,9 -1845,R400 ,R461 ,14200.1,0.83,79798,3 -1846,R200 ,R201 ,15056.43,0.88,79264,9 -1847,R200 ,R260 ,15996.21,0.93,79961,10 -1848,R100 ,R138 ,14031.96,0.82,79899,5 -1849,R400 ,R423 ,27990.17,1.63,83772,2 -1850,R300 ,R326 ,11244.58,0.66,79175,6 -1851,R200 ,R245 ,10151.56,0.59,79793,9 -1852,R300 ,R327 ,9960.07,0.58,68749,6 -1853,R300 ,R315 ,14860.54,0.87,94787,4 -1854,R400 ,R448 ,19617.32,1.14,84253,3 -1855,R400 ,R447 ,13971.34,0.81,79714,1 -1856,R400 ,R451 ,14806.54,0.86,77462,2 -1857,R400 ,R466 ,12368.36,0.72,79735,3 -1858,R400 ,R457 ,17193.94,1,84751,3 -1859,R300 ,R314 ,15253.33,0.89,79869,4 -1860,R300 ,R301 ,13214.67,0.77,72279,6 -1861,R300 ,R302 ,9311.67,0.54,79778,6 -1862,R200 ,R246 ,11821.07,0.69,79669,9 -1863,R300 ,R376 ,13649.29,0.8,85204,9 -1864,R400 ,R461 ,17747.76,1.04,85456,2 -1865,R400 ,R446 ,11907.42,0.69,77515,2 -1866,R400 ,R424 ,10758.13,0.63,79831,2 -1867,R200 ,R205 ,31419.28,1.83,79816,9 -1868,R200 ,R258 ,14414.18,0.84,79799,10 -1869,R200 ,R248 ,45817.24,2.67,80760,9 -1870,R300 ,R337 ,18913.16,1.1,79925,4 -1871,R400 ,R411 ,12212.86,0.71,85340,3 -1872,R300 ,R372 ,19657.74,1.15,94874,4 -1873,R400 ,R466 ,15246.9,0.89,94627,3 -1874,R400 ,R441 ,24903.13,1.45,94237,3 -1875,R400 ,R431 ,16289.11,0.95,79478,3 -1876,R300 ,R331 ,13350.36,0.78,80856,6 -1877,R300 ,R303 ,11647.39,0.68,80199,6 -1878,R100 ,R140 ,16216.42,0.95,80705,5 -1879,R100 ,R145 ,15869.97,0.93,79855,5 -1880,R100 ,R128 ,12781.86,0.75,67129,5 -1881,R100 ,R121 ,15113.88,0.88,80071,5 -1882,R100 ,R121 ,19062.39,1.11,79353,5 -1883,R200 ,R258 ,14822.47,0.86,80070,10 -1884,R200 ,R204 ,26238.15,1.53,78984,9 -1885,R400 ,R455 ,19118.93,1.12,82904,2 -1886,R400 ,R446 ,31838.76,1.86,86008,2 -1887,R400 ,R459 ,12041.74,0.7,81088,2 -1888,R100 ,R141 ,19317.01,1.13,82762,5 -1889,R100 ,R116 ,19939.43,1.16,82383,5 -1890,R400 ,R412 ,17656.4,1.03,80944,3 -1891,R100 ,R167 ,12439.11,0.73,79208,6 -1892,R300 ,R372 ,25971.98,1.51,82176,4 -1893,R400 ,R412 ,20082.28,1.17,87646,3 -1894,R300 ,R364 ,12266.28,0.72,79414,6 -1895,R100 ,R110 ,16457.66,0.96,80015,5 -1896,R100 ,R122 ,20302.75,1.18,96907,5 -1897,R400 ,R412 ,15691.74,0.92,79834,3 -1898,R400 ,R429 ,20319.46,1.19,88165,1 -1901,R100 ,R105 ,21258.65,1.24,96988,7 -1902,R100 ,R133 ,13075.84,0.76,80221,5 -1903,R100 ,R115 ,19720.66,1.15,96988,5 -1904,R300 ,R364 ,11880.47,0.69,79922,6 -1905,R300 ,R379 ,13713.69,0.8,79842,9 -1906,R200 ,R250 ,12129.36,0.71,79837,9 -1907,R300 ,R332 ,11750.72,0.69,79740,4 -1908,R300 ,R364 ,21818.37,1.27,96878,6 -1910,R300 ,R350 ,13878.69,0.81,79101,4 -1911,R100 ,R140 ,15783.9,0.92,79857,5 -1912,R100 ,R112 ,18813.41,1.1,96663,5 -1913,R100 ,R133 ,16319.96,0.95,79888,5 -1914,R100 ,R118 ,11945.36,0.7,79962,7 -1915,R400 ,R438 ,14269.23,0.83,80280,2 -1916,R400 ,R460 ,11931.3,0.7,89345,1 -1917,R400 ,R422 ,21152.09,1.23,85221,2 -1918,R300 ,R365 ,20249.03,1.18,97938,4 -1919,R100 ,R167 ,13211.57,0.77,79993,6 -1920,R300 ,R331 ,19359.99,1.13,79428,4 -1921,R300 ,R315 ,13109.37,0.76,97974,4 -1922,R300 ,R342 ,10731.77,0.63,79641,6 -1923,R300 ,R337 ,20608.75,1.2,79484,4 -1924,R100 ,R141 ,18602.58,1.09,81866,5 -1925,R100 ,R150 ,14823.37,0.86,79914,5 -1926,R200 ,R211 ,16035.38,0.94,87307,9 -1927,R200 ,R233 ,18089.89,1.06,87498,9 -1928,R100 ,R175 ,18484,1.08,96664,8 -1929,R400 ,R419 ,13479.94,0.79,84656,2 -1930,R400 ,R470 ,19137.52,1.12,84530,1 -1931,R400 ,R417 ,13417.49,0.78,79855,3 -1932,R300 ,R372 ,17498.3,1.02,96635,4 -1933,R100 ,R133 ,15007.42,0.88,79753,5 -1934,R300 ,R360 ,15013.3,0.88,96416,4 -1935,R300 ,R310 ,17898.13,1.04,96890,4 -1936,R200 ,R222 ,21679.63,1.26,78857,9 -1937,R300 ,R337 ,13952.96,0.81,79869,4 -1938,R400 ,R415 ,10906.67,0.64,79407,3 -1939,R100 ,R105 ,12791.38,0.75,79737,7 -1940,R100 ,R173 ,12149.04,0.71,80004,5 -1941,R300 ,R310 ,17674.22,1.03,79343,4 -1942,R400 ,R452 ,11022.64,0.64,79859,1 -1943,R100 ,R129 ,13999,0.82,79891,7 -1944,R100 ,R129 ,22245.22,1.3,96663,7 -1945,R100 ,R129 ,15443.5,0.9,96892,7 -1946,R100 ,R172 ,13466.53,0.79,79837,5 -1947,R200 ,R259 ,13569.47,0.79,80057,10 -1948,R400 ,R424 ,14464.63,0.84,84468,2 -1949,R400 ,R454 ,15832.45,0.92,80170,3 -1950,R100 ,R122 ,15450.59,0.9,103127,5 -1951,R100 ,R147 ,14901.96,0.87,79811,5 -1952,R100 ,R118 ,17005.88,0.99,82313,7 -1953,R300 ,R341 ,10380.56,0.61,79516,6 -1954,R400 ,R459 ,12301.22,0.72,72326,2 -1955,R400 ,R460 ,10912.26,0.64,79797,1 -1956,R400 ,R460 ,13294.29,0.78,81816,1 -1957,R200 ,R259 ,14672.85,0.86,80130,10 -1958,R200 ,R248 ,16870.99,0.98,79947,9 -1959,R300 ,R374 ,17293.8,1.01,94245,9 -1960,R300 ,R379 ,22912.25,1.34,94275,9 -1961,R200 ,R232 ,18783.31,1.1,79962,9 -1962,R300 ,R306 ,8816.03,0.51,79780,6 -1963,R300 ,R369 ,12178.13,0.71,79891,4 -1964,R300 ,R336 ,18641.11,1.09,81507,4 -1965,R400 ,R468 ,16174.39,0.94,79939,1 -1966,R300 ,R313 ,15802.73,0.92,103129,4 -1967,R300 ,R314 ,14475.79,0.84,79983,4 -1968,R400 ,R417 ,14314.36,0.83,80046,3 -1969,R100 ,R173 ,15678.41,0.91,80005,5 -1970,R400 ,R411 ,12912.32,0.75,80040,3 -1971,R100 ,R137 ,11438.97,0.67,80160,5 -1972,R100 ,R169 ,12317.64,0.72,79571,5 -1973,R300 ,R348 ,12927.16,0.75,79813,4 -1974,R300 ,R315 ,12648.88,0.74,79979,4 -1975,R300 ,R311 ,16395.99,0.96,79191,6 -1976,R100 ,R177 ,17236.3,1.01,103121,8 -1977,R100 ,R123 ,12964.93,0.76,80167,7 -1978,R100 ,R173 ,16261.24,0.95,79886,5 -1979,R300 ,R327 ,10674.13,0.62,79771,6 -1980,R200 ,R239 ,21183.4,1.24,85248,9 -1981,R300 ,R342 ,8779.61,0.51,79952,6 -1982,R300 ,R341 ,11215.11,0.65,79818,6 -1983,R300 ,R369 ,17104.06,1,79918,4 -1984,R200 ,R237 ,11877.35,0.69,79974,9 -2006,R400 ,R419 ,20153.3,1.18,84532,2 -2007,R400 ,R412 ,10893.06,0.64,80028,3 -2008,R300 ,R342 ,7908.83,0.46,79922,6 -2009,R400 ,R447 ,13109.58,0.76,79743,1 -2010,R100 ,R107 ,11830.41,0.69,82264,7 -2011,R300 ,R362 ,12315.06,0.72,79954,4 -2014,R100 ,R136 ,18046.87,1.05,84554,5 -2015,R100 ,R136 ,11773.91,0.69,79827,5 -2016,R100 ,R174 ,14287.05,0.83,79738,5 -2017,R400 ,R466 ,11668.63,0.68,79714,3 -2018,R200 ,R213 ,18777.98,1.1,84121,9 -2019,R200 ,R217 ,14515.48,0.85,84567,9 -2020,R200 ,R209 ,15833.8,0.92,80485,9 -2021,R100 ,R179 ,16619.28,0.97,96887,8 -2022,R300 ,R367 ,22285.2,1.3,96822,4 -2023,R100 ,R177 ,18884.33,1.1,96607,8 -2024,R400 ,R451 ,14800.4,0.86,80050,2 -2025,R100 ,R124 ,15418.57,0.9,84509,5 -2026,R200 ,R207 ,16593.37,0.97,84476,9 -2027,R300 ,R337 ,13010.79,0.76,80042,4 -2028,R100 ,R145 ,13746.54,0.8,79786,5 -2029,R100 ,R179 ,15920.81,0.93,80039,8 -2030,R200 ,R219 ,21262.98,1.24,82356,9 -2031,R300 ,R378 ,14390.38,0.84,79793,6 -2032,R300 ,R365 ,13460.31,0.79,79763,4 -2033,R100 ,R148 ,14546.27,0.85,79707,5 -2034,R300 ,R354 ,21253.59,1.24,96696,4 -2035,R100 ,R145 ,15469.15,0.9,96887,5 -2036,R300 ,R335 ,22126.21,1.29,96990,4 -2037,R300 ,R358 ,11518.8,0.67,79906,4 -2038,R400 ,R467 ,14318.05,0.84,79753,2 -2040,R300 ,R354 ,17063.27,1,79439,4 -2041,R100 ,R105 ,12355.08,0.72,83548,7 -2042,R300 ,R342 ,16031.24,0.94,96935,6 -2043,R100 ,R144 ,12732.6,0.74,79972,7 -2044,R100 ,R171 ,11796.18,0.69,80039,5 -2045,R400 ,R460 ,13842.5,0.81,78700,1 -2046,R100 ,R102 ,15801.65,0.92,97524,5 -2048,R100 ,R133 ,15655.3,0.91,80039,5 -2051,R200 ,R202 ,16135.06,0.94,82512,9 -2052,R100 ,R175 ,17685.1,1.03,96997,8 -2053,R300 ,R333 ,13709.08,0.8,80059,4 -2055,R300 ,R331 ,13899.73,0.81,79476,4 -2056,R300 ,R335 ,16237.46,0.95,96931,4 -2057,R300 ,R351 ,21884.11,1.28,81995,4 -2058,R300 ,R324 ,14026.92,0.82,79530,4 -2059,R300 ,R320 ,15837.23,0.92,96931,4 -2061,R300 ,R301 ,11518.39,0.67,79617,6 -2062,R300 ,R324 ,15010.69,0.88,79725,4 -2063,R300 ,R320 ,22742.94,1.33,97807,4 -2064,R300 ,R354 ,12526.87,0.73,79854,4 -2065,R300 ,R310 ,14059.85,0.82,96712,4 -2066,R300 ,R364 ,13446.13,0.78,79811,6 -2067,R300 ,R310 ,14790.46,0.86,95402,4 -2068,R100 ,R168 ,12474.44,0.73,79974,5 -2069,R300 ,R372 ,19794.26,1.15,96935,4 -2070,R100 ,R169 ,18237.02,1.06,82352,5 -2071,R400 ,R457 ,13884.61,0.81,79833,3 -2072,R400 ,R453 ,15049.46,0.88,80252,3 -2073,R400 ,R470 ,12944.49,0.75,79637,1 -2074,R300 ,R355 ,10997.2,0.64,79476,4 -2075,R400 ,R462 ,16673.55,0.97,85512,3 -2076,R400 ,R451 ,11758,0.69,79795,2 -2077,R400 ,R430 ,12219.16,0.71,79634,3 -2078,R100 ,R116 ,18619.49,1.09,84892,5 -2079,R100 ,R141 ,20343.1,1.19,85510,5 -2080,R300 ,R362 ,12605.45,0.74,101681,4 -2081,R100 ,R121 ,17503.82,1.02,96676,5 -2082,R200 ,R244 ,14148.16,0.83,79830,9 -2083,R300 ,R375 ,14948.88,0.87,84188,9 -2084,R300 ,R369 ,11805.45,0.69,82776,4 -2085,R300 ,R348 ,13948.75,0.81,79817,4 -2086,R100 ,R169 ,13041.89,0.76,79795,5 -2087,R100 ,R145 ,22546.95,1.32,81928,5 -2088,R200 ,R233 ,18525.42,1.08,84224,9 -2089,R300 ,R353 ,14135.17,0.82,96672,6 -2090,R300 ,R355 ,13911.55,0.81,79848,4 -2091,R300 ,R334 ,15409.45,0.9,97477,4 -2092,R300 ,R318 ,19802.69,1.15,103290,4 -2093,R300 ,R364 ,24946.24,1.45,81803,6 -2095,R100 ,R129 ,14597.45,0.85,76959,6 -2096,R200 ,R218 ,13918.17,0.81,79279,9 -2098,R100 ,R167 ,11273.99,0.66,80161,7 -2099,R400 ,R431 ,13274.74,0.77,80095,3 -2100,R400 ,R430 ,11881.95,0.69,80161,3 -2101,R100 ,R126 ,25991.63,1.52,92390,5 -2102,R400 ,R424 ,11910.75,0.69,79940,2 -2103,R100 ,R118 ,13708.19,0.8,82487,7 -2104,R400 ,R422 ,14904.77,0.87,80190,2 -2105,R100 ,R135 ,13635.68,0.8,82171,5 -2106,R100 ,R146 ,21886.76,1.28,102399,5 -2108,R300 ,R358 ,13209.06,0.77,80355,4 -2109,R300 ,R349 ,13425.73,0.78,81724,4 -2110,R200 ,R260 ,15506.9,0.9,80371,10 -2111,R300 ,R371 ,12067.51,0.7,80126,4 -2112,R300 ,R305 ,11248.22,0.66,80161,6 -2113,R100 ,R134 ,16154.26,0.94,82041,5 -2114,R400 ,R454 ,12706.22,0.74,79999,3 -2115,R200 ,R208 ,12969.02,0.76,84158,9 -2118,R300 ,R314 ,17591.29,1.03,101926,4 -2119,R100 ,R171 ,13437.88,0.78,77429,5 -2120,R400 ,R447 ,13448.13,0.78,80226,1 -2121,R300 ,R334 ,15421.05,0.9,84352,4 -2122,R100 ,R122 ,16351.93,0.95,79868,5 -2123,R100 ,R178 ,18344.56,1.07,79905,8 -2124,R400 ,R421 ,24831.76,1.45,86198,3 -2125,R100 ,R107 ,16321.94,0.95,79771,7 -2126,R300 ,R333 ,14207.28,0.83,80194,4 -2127,R400 ,R439 ,14587.04,0.85,79317,1 -2128,R200 ,R202 ,18280.45,1.07,81453,9 -2129,R300 ,R336 ,13316.84,0.78,77316,4 -2130,R400 ,R447 ,16133.54,0.94,80237,1 -2131,R400 ,R421 ,16672.83,0.97,80356,3 -2132,R300 ,R355 ,13031.92,0.76,96653,4 -2133,R400 ,R415 ,13025,0.76,82355,3 -2134,R300 ,R358 ,18768.16,1.09,80517,4 -2135,R100 ,R126 ,11790.14,0.69,82548,5 -2136,R200 ,R259 ,12598.14,0.73,81907,10 -2137,R300 ,R336 ,29282.46,1.71,85373,4 -2138,R400 ,R466 ,15357.32,0.9,96757,3 -2139,R300 ,R311 ,11320.49,0.66,83197,6 -2140,R300 ,R376 ,18635.02,1.09,101204,9 -2141,R400 ,R419 ,17782.43,1.04,82185,2 -2142,R300 ,R326 ,14030.84,0.82,95921,6 -2143,R200 ,R209 ,18214.6,1.06,88818,9 -2144,R300 ,R364 ,12214.72,0.71,82363,6 -2145,R300 ,R321 ,15779.07,0.92,95958,6 -2146,R300 ,R318 ,19087.89,1.11,100315,4 -2147,R200 ,R217 ,15700.89,0.92,82594,9 -2149,R300 ,R375 ,13284.48,0.77,82217,9 -2150,R100 ,R178 ,14546.06,0.85,82403,8 -2151,R200 ,R202 ,18247.93,1.06,84705,9 -2152,R300 ,R305 ,12708.48,0.74,82672,6 -2153,R300 ,R340 ,11820.02,0.69,82680,4 -2154,R300 ,R359 ,13939.34,0.81,81971,4 -2155,R300 ,R315 ,11028.44,0.64,82218,4 -2156,R400 ,R460 ,15043.97,0.88,80276,1 -2157,R100 ,R170 ,11986.52,0.7,82655,5 -2158,R400 ,R467 ,12458.49,0.73,82241,2 -2159,R100 ,R174 ,9543.22,0.56,83075,5 -2161,R100 ,R170 ,15143.77,0.88,82722,5 -2163,R200 ,R261 ,17502.73,1.02,82555,9 -2164,R300 ,R380 ,13939.14,0.81,82340,9 -2165,R200 ,R261 ,18428.88,1.07,84447,9 -2166,R400 ,R447 ,12957.95,0.76,82709,1 -2167,R400 ,R428 ,13447.78,0.78,82544,1 -2168,R300 ,R371 ,11369.85,0.66,82675,4 -2169,R300 ,R362 ,20325.35,1.19,95961,4 -2170,R400 ,R422 ,12172.56,0.71,82272,2 -2171,R300 ,R335 ,15182.74,0.89,82583,4 -2172,R400 ,R453 ,14327.61,0.84,83077,3 -2173,R400 ,R470 ,12794.02,0.75,82181,1 -2174,R300 ,R346 ,12391.72,0.72,82601,4 -2175,R400 ,R466 ,10997.7,0.64,82857,3 -2176,R300 ,R379 ,25009.47,1.46,83900,9 -2177,R100 ,R115 ,13191.28,0.77,82115,5 -2178,R100 ,R135 ,21199.34,1.24,80171,5 -2179,R200 ,R217 ,11191.94,0.65,82666,9 -2180,R100 ,R114 ,19791.33,1.15,98251,5 -2181,R400 ,R422 ,12618.57,0.74,84927,2 -2182,R400 ,R447 ,12903.72,0.75,82275,1 -2183,R100 ,R175 ,14774.68,0.86,95872,8 -2184,R400 ,R454 ,14525.17,0.85,82530,3 -2185,R200 ,R211 ,14338.59,0.84,84052,9 -2186,R400 ,R431 ,13942.39,0.81,82838,3 -2187,R300 ,R327 ,10701.3,0.62,81841,6 -2188,R300 ,R349 ,21189.37,1.24,82204,4 -2189,R100 ,R101 ,24105.11,1.41,98135,5 -2190,R300 ,R352 ,12424.24,0.72,81751,6 -2191,R400 ,R416 ,9003.96,0.53,81839,2 -2192,R200 ,R264 ,13160.13,0.77,82140,10 -2193,R100 ,R131 ,21700.84,1.27,104591,5 -2194,R100 ,R143 ,21255.94,1.24,83071,8 -2195,R200 ,R232 ,81115.94,4.73,81631,9 -2196,R300 ,R367 ,11416.52,0.67,83971,4 -2197,R100 ,R175 ,20485.02,1.19,95794,8 -2199,R100 ,R110 ,15465.15,0.9,82252,5 -2200,R100 ,R126 ,17905.31,1.04,98368,5 -2201,R400 ,R430 ,15054.4,0.88,82198,3 -2202,R400 ,R431 ,19492.92,1.14,84493,3 -2203,R300 ,R370 ,12279.02,0.72,82433,3 -2204,R100 ,R167 ,13945.06,0.81,82000,6 -2205,R300 ,R311 ,11948.89,0.7,82517,6 -2206,R100 ,R161 ,17124.9,1,82683,10 -2207,R100 ,R135 ,13115.65,0.76,82368,5 -2208,R300 ,R348 ,15921.09,0.93,82277,4 -2210,R300 ,R310 ,20953.26,1.22,98033,4 -2211,R400 ,R416 ,11981.49,0.7,82314,2 -2212,R400 ,R423 ,24660.11,1.44,91947,2 -2213,R400 ,R439 ,12549.89,0.73,82258,1 -2214,R200 ,R208 ,14361.37,0.84,83147,9 -2216,R300 ,R374 ,19632.56,1.15,95591,6 -2217,R100 ,R133 ,15569.67,0.91,82555,5 -2218,R100 ,R176 ,19129.39,1.12,95853,8 -2219,R100 ,R177 ,20773.99,1.21,95921,8 -2220,R300 ,R301 ,19264.01,1.12,95883,6 -2221,R100 ,R177 ,19171.12,1.12,98530,8 -2222,R100 ,R123 ,15223.32,0.89,82572,7 -2223,R100 ,R131 ,12062.63,0.7,82769,5 -2224,R300 ,R305 ,12026.39,0.7,82008,6 -2225,R100 ,R179 ,15380.23,0.9,82815,8 -2226,R100 ,R174 ,13300.03,0.78,79568,5 -2227,R300 ,R375 ,18671.34,1.09,97381,9 -2228,R100 ,R174 ,12586.78,0.73,79749,5 -2229,R100 ,R102 ,28290.13,1.65,104399,5 -2230,R100 ,R137 ,20244.76,1.18,82346,5 -2231,R400 ,R454 ,12315.13,0.72,82023,3 -2232,R200 ,R201 ,16960.15,0.99,84026,9 -2233,R300 ,R315 ,14477.09,0.84,97840,4 -2234,R300 ,R302 ,10622.44,0.62,102469,6 -2235,R300 ,R354 ,19945.87,1.16,102327,4 -2236,R300 ,R377 ,17565.23,1.02,98398,9 -2237,R300 ,R305 ,14789.51,0.86,81809,6 -2238,R200 ,R237 ,17540.29,1.02,81739,9 -2239,R300 ,R327 ,16317.28,0.95,102368,6 -2240,R300 ,R369 ,12964.15,0.76,82422,4 -2241,R400 ,R431 ,14083.83,0.82,82689,3 -2243,R300 ,R306 ,13982.8,0.82,98028,6 -2244,R300 ,R355 ,15384.29,0.9,84647,4 -2245,R200 ,R206 ,18086.36,1.05,82114,9 -2246,R400 ,R461 ,13631.19,0.8,82987,3 -2247,R400 ,R451 ,14377,0.84,81651,2 -2248,R300 ,R360 ,12583.95,0.73,82718,4 -2249,R400 ,R460 ,13104.62,0.76,82302,1 -2250,R400 ,R457 ,12185.7,0.71,82698,3 -2251,R100 ,R150 ,15613.2,0.91,82608,5 -2252,R200 ,R245 ,12439.23,0.73,82391,9 -2253,R400 ,R467 ,13349.91,0.78,82792,2 -2254,R100 ,R134 ,13982.43,0.82,79882,5 -2255,R100 ,R118 ,12695.01,0.74,82319,7 -2256,R400 ,R450 ,11696.3,0.68,81964,2 -2258,R400 ,R429 ,13082.13,0.76,85561,1 -2259,R400 ,R412 ,23898.41,1.39,87461,3 -2260,R200 ,R248 ,16211.26,0.95,98284,9 -2261,R100 ,R179 ,21320.48,1.24,96619,8 -2262,R400 ,R430 ,11808.71,0.69,82719,3 -2264,R300 ,R324 ,27120.06,1.58,102684,4 -2265,R300 ,R318 ,11890.78,0.69,82459,4 -2266,R100 ,R174 ,18072.21,1.05,82387,5 -2267,R400 ,R470 ,13125.4,0.77,82677,1 -2268,R200 ,R246 ,12944.3,0.75,82302,9 -2269,R300 ,R360 ,12743.29,0.74,82054,4 -2270,R200 ,R220 ,17684.44,1.03,82589,9 -2271,R400 ,R415 ,20206.73,1.18,84460,3 -2272,R400 ,R441 ,15535.61,0.91,82290,3 -2273,R300 ,R353 ,12140.39,0.71,82402,6 -2274,R300 ,R340 ,12462.88,0.73,82754,4 -2275,R200 ,R207 ,15040.35,0.88,82932,9 -2276,R300 ,R340 ,13076.17,0.76,82715,4 -2277,R300 ,R337 ,15381.21,0.9,79507,4 -2278,R300 ,R306 ,8577.29,0.5,82776,6 -2279,R300 ,R359 ,11524.71,0.67,82048,4 -2280,R200 ,R239 ,18666.58,1.09,82375,9 -2281,R200 ,R233 ,16828.93,0.98,82439,9 -2283,R300 ,R302 ,10424.27,0.61,81779,6 -2284,R100 ,R167 ,9327.15,0.54,82310,6 -2287,R400 ,R452 ,14367.85,0.84,82476,1 -2288,R300 ,R322 ,11427.84,0.67,98196,6 -2289,R300 ,R314 ,13654.12,0.8,102718,4 -2290,R200 ,R265 ,17523.14,1.02,82140,10 -2292,R400 ,R428 ,13748.51,0.8,82304,1 -2294,R400 ,R457 ,13577.8,0.79,82848,3 -2295,R400 ,R467 ,11937.38,0.7,82713,2 -2296,R300 ,R370 ,11253.68,0.66,82845,3 -2297,R400 ,R457 ,13328.51,0.78,82301,3 -2300,R100 ,R163 ,23676.61,1.38,102560,5 -2301,R300 ,R315 ,12067.75,0.7,79580,4 -2302,R400 ,R431 ,12003.96,0.7,82325,3 -2303,R100 ,R107 ,21916.35,1.28,102791,7 -2304,R200 ,R202 ,16984.39,0.99,92431,9 -2305,R400 ,R460 ,13259.1,0.77,83617,1 -2306,R200 ,R245 ,12004.62,0.7,81802,9 -2307,R200 ,R236 ,21543.6,1.26,87697,9 -2308,R300 ,R351 ,11655,0.68,82714,3 -2309,R200 ,R232 ,14751.69,0.86,102578,9 -2310,R400 ,R415 ,16000.5,0.93,81887,3 -2312,R400 ,R453 ,23583.75,1.38,92086,3 -2313,R100 ,R163 ,31423.53,1.83,104449,5 -2314,R200 ,R265 ,15517.41,0.91,82921,10 -2315,R400 ,R447 ,21727.61,1.27,82276,1 -2316,R300 ,R320 ,15477.38,0.9,97942,4 -2317,R300 ,R320 ,19986.85,1.17,103536,4 -2319,R200 ,R207 ,19689.77,1.15,82769,9 -2320,R300 ,R303 ,15413.78,0.9,103649,6 -2321,R100 ,R111 ,16703.16,0.97,103492,5 -2322,R100 ,R170 ,18035.07,1.05,82761,5 -2323,R400 ,R466 ,13828.03,0.81,104043,3 -2324,R400 ,R467 ,16118.75,0.94,82227,2 -2325,R400 ,R452 ,11186.67,0.65,82428,1 -2326,R100 ,R107 ,18733.23,1.09,103451,7 -2327,R100 ,R136 ,13390.27,0.78,82875,5 -2328,R200 ,R207 ,16998.92,0.99,83584,9 -2329,R200 ,R219 ,20467.54,1.19,84992,9 -2330,R100 ,R117 ,13410.92,0.78,82072,5 -2331,R300 ,R350 ,17189.98,1,82050,4 -2332,R300 ,R351 ,12842.81,0.75,82366,4 -2333,R300 ,R335 ,15113.19,0.88,79522,4 -2334,R300 ,R306 ,9482,0.55,82479,6 -2335,R300 ,R302 ,14171.57,0.83,101330,6 -2337,R400 ,R417 ,11256.92,0.66,82257,3 -2338,R300 ,R326 ,19559.39,1.14,101316,6 -2339,R200 ,R262 ,30081,1.75,88269,10 -2340,R100 ,R163 ,18175.89,1.06,103620,5 -2341,R300 ,R375 ,13774.94,0.8,82599,9 -2342,R300 ,R341 ,14026.97,0.82,102964,6 -2343,R100 ,R179 ,13508.68,0.79,82251,8 -2345,R100 ,R118 ,14386.95,0.84,82330,7 -2346,R100 ,R171 ,14719.41,0.86,82289,5 -2347,R200 ,R218 ,11198.63,0.65,82277,9 -2348,R100 ,R150 ,13182.36,0.77,82360,5 -2349,R200 ,R250 ,17487.19,1.02,103132,9 -2350,R200 ,R219 ,17382.19,1.01,97725,9 -2351,R100 ,R174 ,13315.86,0.78,79494,5 -2354,R300 ,R375 ,15840.96,0.92,103776,9 -2355,R300 ,R340 ,10969.41,0.64,82363,4 -2356,R300 ,R304 ,13665.86,0.8,82201,6 -2357,R100 ,R129 ,21272.94,1.24,82116,6 -2358,R100 ,R173 ,12503.48,0.73,82246,5 -2359,R200 ,R213 ,13391.61,0.78,82322,9 -2360,R300 ,R333 ,18988.72,1.11,103204,4 -2361,R400 ,R460 ,17916.09,1.04,92397,1 -2362,R300 ,R369 ,13196.91,0.77,103637,4 -2363,R300 ,R320 ,15580.11,0.91,103715,4 -2364,R300 ,R313 ,16405.13,0.96,111024,4 -2365,R300 ,R374 ,18410.06,1.07,103609,9 -2366,R300 ,R314 ,13287.57,0.78,82209,4 -2367,R300 ,R333 ,13534.64,0.79,82289,4 -2368,R300 ,R380 ,11108.29,0.65,82270,9 -2369,R300 ,R320 ,11140.3,0.65,82334,4 -2370,R300 ,R365 ,20821.61,1.21,100164,4 -2371,R200 ,R262 ,29785.77,1.74,88020,10 -2372,R200 ,R262 ,36310.74,2.12,87847,10 -2373,R100 ,R141 ,23314.18,1.36,88792,5 -2374,R300 ,R306 ,11208.65,0.65,82292,6 -2375,R300 ,R340 ,11086.8,0.65,82382,4 -2376,R300 ,R365 ,13742.95,0.8,101479,4 -2377,R300 ,R353 ,11964.7,0.7,82341,6 -2378,R100 ,R115 ,18158.26,1.06,102945,5 -2379,R400 ,R457 ,13095.58,0.76,82376,3 -2380,R400 ,R469 ,15786.46,0.92,83341,2 -2381,R400 ,R446 ,20390.42,1.19,82841,2 -2382,R400 ,R416 ,10784.53,0.63,82487,2 -2383,R100 ,R107 ,19469.75,1.14,103679,7 -2384,R400 ,R422 ,17722.2,1.03,82585,2 -2385,R400 ,R430 ,14009.86,0.82,81934,3 -2386,R200 ,R218 ,12348.87,0.72,101445,9 -2387,R300 ,R335 ,12542.55,0.73,82295,4 -2388,R100 ,R150 ,15505.85,0.9,82046,5 -2389,R300 ,R304 ,20579.06,1.2,103125,6 -2390,R100 ,R163 ,23943.77,1.4,105381,5 -2391,R100 ,R138 ,13943.97,0.81,82922,5 -2392,R400 ,R450 ,15908.74,0.93,82089,2 -2394,R400 ,R415 ,13287.04,0.77,82259,3 -2395,R300 ,R355 ,14161.52,0.83,82534,4 -2396,R300 ,R370 ,11884.73,0.69,82555,3 -2397,R200 ,R244 ,15628.89,0.91,83338,9 -2398,R200 ,R240 ,17118.96,1,88129,9 -2399,R400 ,R461 ,14808.26,0.86,82540,3 -2400,R300 ,R375 ,15323.16,0.89,102712,9 -2403,R100 ,R176 ,25435.33,1.48,102986,8 -2404,R300 ,R380 ,15046.5,0.88,79480,9 -2406,R100 ,R102 ,23477.23,1.37,97351,5 -2407,R300 ,R358 ,10225.27,0.6,82339,3 -2408,R200 ,R208 ,14322.74,0.84,82396,9 -2409,R300 ,R341 ,14274.87,0.83,82387,6 -2410,R200 ,R257 ,61584.24,3.59,89082,9 -2411,R200 ,R257 ,50207.23,2.93,86764,9 -2412,R200 ,R257 ,48383.53,2.82,86717,9 -2414,R100 ,R117 ,13409.28,0.78,82272,5 -2415,R100 ,R148 ,13091.96,0.76,79563,5 -2418,R400 ,R462 ,16515.58,0.96,82365,3 -2419,R300 ,R311 ,16511.15,0.96,103695,6 -2420,R200 ,R250 ,13985.84,0.82,82255,9 -2421,R200 ,R244 ,15128.36,0.88,82941,9 -2422,R100 ,R129 ,13669.47,0.8,82291,6 -2423,R100 ,R123 ,19437.21,1.13,82301,7 -2424,R200 ,R207 ,17662.86,1.03,82183,9 -2425,R300 ,R342 ,8287.99,0.48,82124,6 -2426,R300 ,R327 ,14875.68,0.87,103658,6 -2427,R300 ,R310 ,20554.44,1.2,87393,4 -2428,R300 ,R304 ,14166.64,0.83,82240,6 -2429,R300 ,R322 ,11837.59,0.69,82343,6 -2430,R400 ,R428 ,14300.46,0.83,85134,1 -2431,R300 ,R334 ,13900.18,0.81,102189,4 -2432,R400 ,R439 ,12124.78,0.71,82311,1 -2433,R400 ,R439 ,10645.27,0.62,82236,1 -2434,R400 ,R460 ,16641.42,0.97,81961,1 -2436,R400 ,R417 ,12524.26,0.73,82324,3 -2437,R400 ,R431 ,13571.89,0.79,82214,3 -2438,R300 ,R322 ,10645.93,0.62,82382,6 -2439,R400 ,R431 ,13430.15,0.78,82287,3 -2440,R100 ,R133 ,14561.68,0.85,82278,5 -2442,R300 ,R332 ,14268.32,0.83,82355,4 -2445,R300 ,R359 ,12342.84,0.72,82306,4 -2446,R400 ,R461 ,13878.56,0.81,82109,2 -2448,R100 ,R129 ,11575.58,0.68,79562,7 -2449,R100 ,R101 ,16443.63,0.96,85996,5 -2450,R100 ,R169 ,13559.36,0.79,85639,5 -2451,R400 ,R469 ,27828.52,1.62,87111,2 -2454,R100 ,R107 ,18016.56,1.05,82387,7 -2455,R200 ,R208 ,15834.51,0.92,82590,9 -2456,R100 ,R124 ,21347.96,1.25,107394,5 -2457,R100 ,R176 ,21077.64,1.23,82430,8 -2458,R100 ,R177 ,13321.8,0.78,82233,8 -2459,R400 ,R438 ,12407.12,0.72,82135,2 -2460,R300 ,R301 ,11315.18,0.66,81996,6 -2461,R400 ,R438 ,13038.79,0.76,82284,2 -2462,R200 ,R240 ,16201.64,0.94,85529,9 -2463,R200 ,R246 ,17660.66,1.03,86038,9 -2465,R200 ,R231 ,36242.28,2.11,84466,9 -2467,R300 ,R327 ,10961.99,0.64,81855,6 -2468,R200 ,R248 ,21042.87,1.23,103779,9 -2469,R200 ,R250 ,13626.16,0.79,84451,9 -2470,R200 ,R207 ,17761.54,1.04,82584,9 -2471,R200 ,R205 ,17599.8,1.03,103431,9 -2472,R200 ,R220 ,16118.77,0.94,81977,9 -2473,R100 ,R168 ,20818.76,1.21,85348,4 -2474,R300 ,R332 ,16935.71,0.99,85941,4 -2475,R400 ,R459 ,25298.57,1.48,87391,2 -2476,R300 ,R334 ,27801.12,1.62,108688,4 -2478,R400 ,R417 ,13047.21,0.76,85748,3 -2480,R400 ,R470 ,13099.1,0.76,86377,1 -2482,R200 ,R244 ,17448.65,1.02,86586,9 -2483,R100 ,R172 ,14827.66,0.86,85442,4 -2485,R300 ,R359 ,12974.87,0.76,82918,4 -2486,R100 ,R172 ,13628.4,0.79,85822,5 -2488,R100 ,R172 ,16422.61,0.96,86006,5 -2489,R300 ,R314 ,12425.12,0.72,85675,4 -2490,R100 ,R121 ,19147.89,1.12,106766,5 -2491,R100 ,R146 ,16506.59,0.96,85927,5 -2492,R200 ,R246 ,16992.46,0.99,83759,9 -2493,R300 ,R346 ,11287.76,0.66,85804,4 -2494,R300 ,R303 ,12446.28,0.73,85769,6 -2495,R300 ,R341 ,15332.87,0.89,107348,6 -2496,R400 ,R453 ,13449.38,0.78,82821,3 -2497,R300 ,R373 ,12544.15,0.73,85952,9 -2498,R100 ,R167 ,15550.81,0.91,85803,6 -2499,R200 ,R205 ,15762.52,0.92,107308,9 -2501,R300 ,R370 ,14101.51,0.82,85787,3 -2503,R300 ,R340 ,17639.27,1.03,103610,4 -2516,R300 ,R302 ,14469.06,0.84,107351,6 -2519,R100 ,R102 ,12477.91,0.73,86712,5 -2520,R300 ,R326 ,10930.01,0.64,107443,6 -2523,R200 ,R258 ,21739.93,1.27,85996,10 -2524,R200 ,R250 ,18610.44,1.09,85127,9 -2525,R100 ,R123 ,13790.05,0.8,85698,7 -2526,R100 ,R127 ,12976.58,0.76,82494,7 -2527,R400 ,R421 ,13644.45,0.8,85782,3 -2528,R400 ,R416 ,11215.47,0.65,82825,2 -2529,R400 ,R431 ,14783.81,0.86,85807,3 -2530,R400 ,R447 ,12060.87,0.7,81769,1 -2531,R300 ,R331 ,14006.88,0.82,82502,6 -2532,R400 ,R428 ,18832.66,1.1,85689,1 -2533,R300 ,R304 ,13237.56,0.77,82865,6 -2534,R300 ,R331 ,12611.23,0.74,85262,6 -2536,R400 ,R461 ,16009.96,0.93,85859,3 -2537,R400 ,R421 ,14867.53,0.87,85862,3 -2538,R400 ,R457 ,13153.08,0.77,82572,3 -2540,R100 ,R143 ,17659.94,1.03,86399,8 -2542,R100 ,R129 ,20273.52,1.18,103504,6 -2544,R100 ,R135 ,14674.67,0.86,85980,5 -2545,R400 ,R453 ,17078.18,1,85916,3 -2546,R100 ,R110 ,14497.89,0.85,85943,5 -2547,R300 ,R360 ,11536.51,0.67,85792,4 -2548,R400 ,R421 ,14093.4,0.82,75582,3 -2550,R300 ,R302 ,10857.29,0.63,103940,6 -2557,R100 ,R172 ,14412.47,0.84,86062,5 -2559,R100 ,R122 ,15308.18,0.89,82554,5 -2565,R300 ,R362 ,6955.21,0.41,86031,4 -2567,R400 ,R431 ,14185.38,0.83,86057,3 -2568,R300 ,R380 ,20486.14,1.19,86392,9 -2569,R300 ,R373 ,13379.83,0.78,85898,9 -2570,R400 ,R468 ,14667.2,0.86,86060,1 -2572,R300 ,R302 ,20958.4,1.22,101369,6 -2581,R200 ,R233 ,15178.5,0.89,85236,9 -2584,R200 ,R233 ,20568.84,1.2,87380,9 -2586,R100 ,R110 ,19215.74,1.12,86289,5 -2596,R400 ,R421 ,14129.75,0.82,86612,3 -2601,R200 ,R212 ,18532.38,1.08,85641,9 -2604,R200 ,R208 ,14991.21,0.87,86813,9 -2605,R200 ,R233 ,20680.12,1.21,87313,9 -2607,R400 ,R428 ,10917.01,0.64,86008,1 -2608,R400 ,R461 ,14096.88,0.82,78437,3 -2609,R100 ,R178 ,15797.52,0.92,86118,8 -2613,R100 ,R116 ,26971.71,1.57,83519,5 -2615,R200 ,R237 ,19736.55,1.15,83372,9 -2627,R200 ,R263 ,16619.9,0.97,85914,9 -2631,R400 ,R415 ,15121.29,0.88,83229,3 -2632,R200 ,R239 ,20718.86,1.21,86716,9 -2641,R100 ,R178 ,22049.41,1.29,85386,8 -2649,R400 ,R429 ,17883.65,1.04,86430,1 -2660,R200 ,R257 ,50337.47,2.94,85572,9 -2682,R200 ,R257 ,60787.18,3.55,86688,9 -2693,R400 ,R429 ,22348.01,1.3,78343,1 -2697,R200 ,R257 ,49197.17,2.87,86717,9 -2715,R200 ,R250 ,18163.03,1.06,85629,9 -2716,R100 ,R179 ,26029.89,1.52,103599,8 -2717,R100 ,R179 ,16868.81,0.98,84045,8 -2721,R300 ,R372 ,15351.64,0.9,86076,4 -2725,R300 ,R322 ,6638.75,0.39,82643,6 -2727,R300 ,R301 ,12836.29,0.75,86223,6 -2728,R100 ,R168 ,14313.97,0.83,82660,4 -2729,R400 ,R470 ,14787.04,0.86,85163,1 -2730,R200 ,R261 ,19808.13,1.16,85619,9 -2737,R100 ,R167 ,14397.33,0.84,85650,6 -2739,R300 ,R301 ,10245.67,0.6,85796,6 -2742,R300 ,R350 ,17037.35,0.99,86116,4 -2744,R200 ,R213 ,16037.01,0.94,86827,9 -2747,R300 ,R379 ,15020.35,0.88,87031,9 -2753,R400 ,R419 ,20767.47,1.21,82700,2 -2754,R300 ,R342 ,11179.4,0.65,79305,6 -2757,R400 ,R454 ,23500.78,1.37,87536,3 -2759,R200 ,R240 ,21761.92,1.27,86306,9 -2760,R200 ,R240 ,19140.67,1.12,86140,9 -2764,R400 ,R453 ,20121.51,1.17,85110,3 -2765,R100 ,R146 ,21144.9,1.23,86977,5 -2766,R200 ,R210 ,10885.51,0.63,50670,9 -2767,R200 ,R211 ,29795.47,1.74,81382,9 -2768,R200 ,R212 ,12421.06,0.72,54031,9 -2770,R300 ,R370 ,17177.56,1,86658,3 -2771,R200 ,R237 ,15844.28,0.92,85407,9 -2772,R200 ,R212 ,16456.86,0.96,81415,9 -2774,R200 ,R204 ,13732.93,0.8,45825,9 -2775,R200 ,R204 ,12790.63,0.75,58067,9 -2776,R200 ,R204 ,11541.7,0.67,57332,9 -2779,R200 ,R260 ,18343.08,1.07,86115,10 -2780,R100 ,R110 ,19400.44,1.13,86169,5 -2781,R100 ,R116 ,19231.18,1.12,89292,5 -2784,R300 ,R372 ,9476.47,0.55,86519,4 -2785,R300 ,R371 ,17529.66,1.02,86089,4 -2786,R200 ,R265 ,7278.99,0.42,47568,10 -2787,R400 ,R454 ,18302.68,1.07,87777,3 -2790,R400 ,R441 ,27809.78,1.62,86814,3 -2791,R200 ,R258 ,6161.97,0.36,40431,10 -2795,R200 ,R245 ,9597.21,0.56,53312,9 -2796,R300 ,R340 ,16983.81,0.99,87476,4 -2799,R100 ,R116 ,17566.06,1.02,57790,5 -2802,R200 ,R231 ,14610.41,0.85,78679,9 -2803,R300 ,R327 ,10634.74,0.62,86126,6 -2804,R200 ,R212 ,23877.14,1.39,86680,9 -2805,R400 ,R438 ,13600.31,0.79,86209,2 -2810,R200 ,R209 ,22919.47,1.34,87264,9 -2811,R400 ,R459 ,16398.04,0.96,88436,2 -2813,R300 ,R378 ,18224.95,1.06,87120,6 -2815,R300 ,R351 ,11193.33,0.65,86144,4 -2816,R300 ,R369 ,12425.87,0.72,83199,4 -2818,R100 ,R136 ,16262.92,0.95,86314,5 -2820,R100 ,R175 ,16508.87,0.96,85821,8 -2822,R400 ,R429 ,19541.01,1.14,77450,1 -2824,R100 ,R147 ,15836.67,0.92,85871,5 -2829,R200 ,R211 ,16595.32,0.97,83206,9 -2830,R200 ,R233 ,16857.37,0.98,86011,9 -2831,R200 ,R206 ,13699.62,0.8,82986,9 -2840,R400 ,R455 ,20786.26,1.21,84895,2 -2843,R300 ,R349 ,17118.33,1,85989,4 -2844,R400 ,R455 ,15425.05,0.9,83289,2 -2845,R400 ,R411 ,17259.75,1.01,83326,3 -2847,R400 ,R424 ,19538.61,1.14,86329,2 -2848,R300 ,R349 ,13042.3,0.76,87087,4 -2850,R400 ,R423 ,14194.74,0.83,49455,2 -2851,R100 ,R173 ,14938.5,0.87,85416,5 -2853,R400 ,R450 ,13751.56,0.8,86202,2 -2855,R200 ,R231 ,23567.67,1.37,87616,9 -2857,R100 ,R161 ,18571.01,1.08,85375,10 -2860,R100 ,R112 ,14876.32,0.87,79532,5 -2865,R300 ,R304 ,11109.83,0.65,82010,6 -2867,R400 ,R453 ,12625.36,0.74,80000,3 -2868,R300 ,R311 ,8076.43,0.47,81752,6 -2870,R200 ,R257 ,31340,1.83,0,9 -2871,R200 ,R261 ,11190.52,0.65,50000,9 -3200,R100 ,R126 ,2018.34,0.12,12067,5 -3201,R200 ,R210 ,1221.53,0.07,8137,9 -3202,R200 ,R211 ,787.98,0.05,4762,9 -3203,R200 ,R212 ,1577.67,0.09,9712,9 -3204,R100 ,R163 ,1204.56,0.07,7819,5 -3205,R200 ,R201 ,1622.35,0.09,9555,9 -3206,R400 ,R462 ,2106.23,0.12,11683,3 -3207,R100 ,R116 ,1450.92,0.08,12189,5 -3208,R100 ,R116 ,1691.28,0.1,129000,5 -3210,R400 ,R412 ,2075.48,0.12,11362,3 -3211,R400 ,R412 ,1689.44,0.1,7450,3 -3212,R400 ,R462 ,1521.78,0.09,10594,3 -3214,R100 ,R116 ,1771.57,0.1,12560,5 -3216,R200 ,R204 ,1279.47,0.07,11017,9 -3217,R200 ,R204 ,2606.84,0.15,13776,9 -3218,R200 ,R219 ,2980.91,0.17,18948,9 -3219,R100 ,R145 ,1809.48,0.11,11937,5 -3221,R100 ,R116 ,1781.38,0.1,15806,5 -3222,R400 ,R429 ,1653.52,0.1,10403,1 -3223,R400 ,R429 ,1383.63,0.08,9955,1 -3224,R200 ,R233 ,2200.74,0.13,13280,9 -3225,R200 ,R207 ,2690.44,0.16,21625,9 -3226,R400 ,R429 ,1262.9,0.07,8196,1 -3227,R400 ,R462 ,2603.03,0.15,18900,3 -3229,R400 ,R423 ,2800.6,0.16,24167,2 -3230,R400 ,R469 ,1471.29,0.09,10521,2 -3233,R200 ,R202 ,1766.29,0.1,9700,9 -3234,R400 ,R430 ,2123.94,0.12,13923,3 -3235,R400 ,R451 ,4530.29,0.26,29059,2 -3236,R400 ,R455 ,3341.1,0.19,29809,2 -3237,R400 ,R469 ,1859.54,0.11,15806,2 -3238,R300 ,R324 ,1680.59,0.1,11545,4 -3239,R100 ,R101 ,1831.61,0.11,11100,5 -3240,R200 ,R212 ,2975.19,0.17,31988,9 -3241,R300 ,R372 ,1797.86,0.1,7500,4 -3242,R400 ,R448 ,3059.54,0.18,18745,3 -3243,R400 ,R423 ,2207.15,0.13,21600,2 -3244,R100 ,R169 ,2485.25,0.14,16500,5 -3247,R400 ,R421 ,5296.14,0.31,32664,3 -3249,R400 ,R423 ,1605.65,0.09,14249,2 -3250,R300 ,R322 ,903.51,0.05,11000,6 -3251,R200 ,R236 ,2025.36,0.12,14200,9 -3252,R100 ,R141 ,1802.91,0.11,20300,5 -3253,R400 ,R452 ,3975.59,0.23,31000,1 -3254,R100 ,R172 ,1945.21,0.11,9128,5 -3255,R300 ,R372 ,1356.87,0.08,11300,4 -3258,R200 ,R222 ,4202.41,0.25,25046,9 -3259,R400 ,R455 ,4858.49,0.28,31369,2 -3261,R300 ,R375 ,4091.49,0.24,31050,9 -3262,R200 ,R236 ,3376.77,0.2,20225,9 -3263,R400 ,R462 ,2252.46,0.13,20262,3 -3264,R200 ,R210 ,2131.68,0.12,17000,9 -3265,R200 ,R210 ,3463.55,0.2,29965,9 -3267,R200 ,R211 ,1207.94,0.07,13000,9 -3270,R100 ,R141 ,1616.55,0.09,12400,5 -3273,R300 ,R348 ,2686.86,0.16,19200,4 -3274,R200 ,R244 ,3067.18,0.18,25700,9 -3276,R400 ,R423 ,1044.2,0.06,12400,2 -3277,R400 ,R423 ,2645.38,0.15,22496,2 -3279,R100 ,R175 ,1627.21,0.09,12100,8 -3281,R200 ,R258 ,1604.14,0.09,17230,10 -3283,R100 ,R141 ,1513.74,0.09,16700,5 -3284,R400 ,R423 ,1161.45,0.07,11300,2 -3285,R400 ,R462 ,2880.72,0.17,36700,3 -3287,R400 ,R452 ,1718.72,0.1,19800,1 -3290,R400 ,R446 ,4845.36,0.28,43415,2 -3292,R300 ,R352 ,1573.85,0.09,32600,6 -3293,R200 ,R236 ,3814.79,0.22,31536,9 -3295,R400 ,R412 ,1857.09,0.11,0,3 -3296,R400 ,R422 ,4049.03,0.24,33425,2 -3304,R400 ,R429 ,1836.82,0.11,29738,1 -3305,R400 ,R470 ,3247.8,0.19,14200,1 -3306,R400 ,R447 ,3985.04,0.23,31800,1 -3307,R100 ,R116 ,1214.94,0.07,6300,5 -3310,R400 ,R421 ,3038.08,0.18,39623,3 -3315,R200 ,R261 ,2407.47,0.14,16400,9 -3316,R100 ,R178 ,2398.48,0.14,18196,8 -3318,R400 ,R424 ,2678.01,0.16,35000,2 +y,x1,x2,x3,x4,x5,x6,x7 +3,R100 ,R131 ,17413.06,1.02,80844,5,10 +4,R100 ,R114 ,23290.41,1.36,82980,5,10 +5,R100 ,R163 ,18241.02,1.06,80933,5,10 +12,R100 ,R117 ,20692.01,1.21,69184,7,10 +13,R300 ,R352 ,8252.73,0.48,69674,6,10 +19,R100 ,R129 ,16169.47,0.94,74595,6,10 +26,R100 ,R117 ,20397.41,1.19,72984,7,10 +43,R300 ,R301 ,18933.64,1.1,81050,6,10 +48,R100 ,R175 ,14473.25,0.84,78121,8,10 +52,R100 ,R126 ,17470.96,1.02,73182,5,10 +55,R300 ,R352 ,11862.25,0.69,75618,6,10 +61,R100 ,R143 ,31066.83,1.81,79900,8,10 +64,R100 ,R176 ,26316.01,1.53,80978,8,10 +67,R300 ,R326 ,8210.73,0.48,74609,6,10 +68,R100 ,R102 ,13214,0.77,72394,5,10 +69,R100 ,R105 ,16713.05,0.97,72221,7,10 +75,R300 ,R311 ,11314.14,0.66,77492,6,10 +76,R100 ,R143 ,22717.36,1.32,79855,8,10 +78,R100 ,R147 ,11464.04,0.67,62523,5,10 +79,R100 ,R176 ,16834.94,0.98,74041,8,10 +80,R300 ,R326 ,11171.17,0.65,64431,6,10 +82,R100 ,R110 ,13369.59,0.78,80681,5,10 +83,R300 ,R352 ,8377.58,0.49,74591,6,10 +85,R100 ,R143 ,17766.32,1.04,59142,8,10 +86,R100 ,R127 ,14260.12,0.83,59850,7,10 +90,R300 ,R332 ,15633,0.91,76659,4,10 +93,R100 ,R179 ,14529.19,0.85,72158,8,10 +95,R300 ,R341 ,8524.54,0.5,73885,6,10 +96,R300 ,R322 ,10237.9,0.6,65671,6,10 +100,R100 ,R101 ,21131.13,1.23,87002,5,10 +108,R100 ,R140 ,15754.07,0.92,71622,5,10 +111,R100 ,R138 ,11261.98,0.66,66487,5,10 +137,R100 ,R147 ,15292.52,0.89,64431,5,10 +139,R100 ,R168 ,11471.15,0.67,64721,5,10 +144,R300 ,R333 ,10607.4,0.62,73295,4,10 +146,R300 ,R369 ,18405.68,1.07,81849,4,10 +147,R100 ,R177 ,12738.47,0.74,64658,8,10 +151,R300 ,R351 ,13956.32,0.81,76401,4,10 +152,R100 ,R150 ,12321.35,0.72,61912,5,10 +154,R100 ,R177 ,14698.64,0.86,77392,8,10 +158,R300 ,R303 ,10653.68,0.62,77114,6,10 +162,R100 ,R167 ,12722.31,0.74,62900,6,10 +164,R100 ,R176 ,11060.36,0.65,48505,8,10 +167,R300 ,R353 ,9746.49,0.57,64427,6,10 +171,R100 ,R161 ,17392.43,1.01,64978,8,10 +176,R300 ,R327 ,8160.21,0.48,54334,6,10 +183,R200 ,R219 ,13248.23,0.77,63185,9,10 +184,R200 ,R263 ,24366.54,1.42,69243,9,10 +188,R200 ,R248 ,11887.53,0.69,71593,9,10 +189,R200 ,R263 ,15584.92,0.91,59354,9,10 +190,R200 ,R263 ,24461.04,1.43,75264,9,10 +192,R200 ,R222 ,13160.46,0.77,76558,9,10 +193,R200 ,R222 ,14146.35,0.83,68708,9,10 +195,R200 ,R207 ,23764.51,1.39,72859,9,10 +198,R200 ,R239 ,23030.22,1.34,73725,9,10 +199,R200 ,R239 ,26726.84,1.56,75022,9,10 +200,R200 ,R239 ,21217.78,1.24,74377,9,10 +201,R200 ,R201 ,25958.87,1.51,73626,9,10 +203,R200 ,R201 ,16166.95,0.94,77253,9,10 +205,R200 ,R231 ,16046.88,0.94,59508,9,10 +212,R200 ,R232 ,14804.74,0.86,74467,9,10 +215,R100 ,R114 ,21632.8,1.26,81513,5,10 +217,R100 ,R107 ,18711.11,1.09,65702,7,10 +219,R300 ,R342 ,10912.68,0.64,63415,6,10 +220,R100 ,R101 ,19106.85,1.11,86457,5,10 +221,R300 ,R352 ,10463.51,0.61,72153,6,10 +222,R200 ,R217 ,12018.7,0.7,77076,9,10 +223,R100 ,R110 ,13154.64,0.77,73069,5,10 +224,R100 ,R176 ,14574.35,0.85,64499,8,10 +226,R200 ,R206 ,10126.04,0.59,78081,9,10 +227,R200 ,R217 ,15610.25,0.91,75351,9,10 +228,R200 ,R209 ,14994.32,0.87,65908,9,10 +229,R200 ,R222 ,19104.43,1.11,71296,9,10 +230,R200 ,R244 ,14022.91,0.82,75821,9,10 +233,R300 ,R377 ,11728.62,0.68,77536,9,10 +238,R100 ,R128 ,13388.86,0.78,65788,5,10 +239,R100 ,R118 ,16367.14,0.95,66234,7,10 +245,R200 ,R219 ,15621.46,0.91,66047,9,10 +246,R200 ,R209 ,15074.4,0.88,75764,9,10 +249,R200 ,R202 ,18977.52,1.11,65847,9,10 +250,R200 ,R202 ,15300.04,0.89,66600,9,10 +251,R300 ,R379 ,12822.92,0.75,73509,9,10 +253,R100 ,R161 ,15975.28,0.93,49740,8,10 +254,R300 ,R342 ,11721.89,0.68,49242,6,10 +255,R300 ,R352 ,8613.77,0.5,65457,6,10 +256,R100 ,R175 ,26823.57,1.56,72029,8,10 +257,R200 ,R219 ,16386,0.96,75789,9,10 +258,R200 ,R206 ,11366.3,0.66,66623,9,10 +259,R200 ,R261 ,18550.29,1.08,80244,9,10 +260,R100 ,R101 ,16117.45,0.94,63467,5,10 +264,R300 ,R373 ,12624.49,0.74,61072,9,10 +265,R300 ,R380 ,11977.66,0.7,81141,9,10 +267,R200 ,R220 ,17884.67,1.04,81103,9,10 +271,R100 ,R179 ,16025.48,0.93,76348,8,10 +273,R200 ,R218 ,16760.95,0.98,76899,9,10 +274,R200 ,R231 ,15577.34,0.91,71978,9,10 +275,R200 ,R213 ,12949.36,0.76,66256,9,10 +278,R100 ,R134 ,14748.05,0.86,75968,5,10 +279,R100 ,R137 ,11085.89,0.65,77477,5,10 +280,R100 ,R148 ,11631.64,0.68,76161,5,10 +281,R100 ,R148 ,9908.12,0.58,78235,5,10 +282,R100 ,R135 ,15323.94,0.89,73581,5,10 +286,R200 ,R222 ,14255.01,0.83,61242,9,10 +288,R200 ,R209 ,22006.37,1.28,81474,9,10 +289,R200 ,R222 ,14292.38,0.83,61433,9,10 +290,R200 ,R239 ,18461.78,1.08,86772,9,10 +291,R200 ,R232 ,13020.93,0.76,60322,9,10 +293,R200 ,R244 ,13748.59,0.8,62694,9,10 +294,R200 ,R219 ,21871.31,1.28,80926,9,10 +296,R200 ,R231 ,14391.37,0.84,67705,9,10 +298,R200 ,R240 ,16823.13,0.98,80350,9,10 +299,R200 ,R209 ,13201.29,0.77,65771,9,10 +300,R200 ,R261 ,12684.69,0.74,63788,9,10 +301,R200 ,R206 ,3620001.02,211.14,83815,9,10 +302,R200 ,R263 ,14625.95,0.85,63132,9,10 +303,R200 ,R261 ,14815.02,0.86,64181,9,10 +304,R200 ,R231 ,13578.56,0.79,64076,9,10 +305,R200 ,R231 ,15078.17,0.88,66946,9,10 +307,R200 ,R205 ,12927.6,0.75,76103,9,10 +309,R200 ,R240 ,13776.63,0.8,64878,9,10 +310,R200 ,R246 ,14322.45,0.84,67605,9,10 +311,R200 ,R220 ,18370.87,1.07,60950,9,10 +312,R200 ,R220 ,17400.32,1.01,74884,9,10 +313,R200 ,R246 ,22900.55,1.34,72559,9,10 +314,R200 ,R213 ,13669.59,0.8,62438,9,10 +317,R200 ,R208 ,23051.67,1.34,64525,9,10 +318,R200 ,R208 ,18353.7,1.07,78674,9,10 +319,R300 ,R379 ,13809.68,0.81,72008,9,10 +320,R200 ,R210 ,27109.95,1.58,86991,9,10 +321,R200 ,R210 ,16997.32,0.99,73450,9,10 +322,R200 ,R210 ,17208.92,1,64752,9,10 +323,R200 ,R233 ,15363.32,0.9,80548,9,10 +324,R200 ,R233 ,21284.51,1.24,86940,9,10 +328,R200 ,R237 ,43726.31,2.55,70781,9,10 +330,R200 ,R247 ,12027.58,0.7,68082,9,10 +331,R200 ,R247 ,17419.86,1.02,66921,9,10 +332,R200 ,R247 ,12368.4,0.72,65852,9,10 +335,R300 ,R305 ,11422.19,0.67,66727,6,10 +336,R200 ,R202 ,21101.16,1.23,71527,9,10 +337,R200 ,R264 ,14635.59,0.85,66550,10,10 +338,R200 ,R264 ,16602.57,0.97,76473,10,10 +339,R200 ,R265 ,16888.18,0.99,58755,10,10 +341,R200 ,R259 ,22173.45,1.29,76337,10,10 +342,R200 ,R259 ,15013.57,0.88,71806,10,10 +343,R200 ,R258 ,13540.57,0.79,75090,10,10 +344,R200 ,R258 ,19060.47,1.11,74577,10,10 +345,R200 ,R258 ,19543.35,1.14,76378,10,10 +346,R200 ,R260 ,22555.49,1.32,82049,10,10 +347,R100 ,R135 ,11678.05,0.68,65415,5,10 +348,R200 ,R264 ,16714.12,0.97,65578,10,10 +349,R200 ,R262 ,14038.88,0.82,66290,10,10 +350,R100 ,R135 ,12169.44,0.71,65379,5,10 +351,R100 ,R134 ,12084.35,0.7,66018,5,10 +353,R100 ,R137 ,12788.3,0.75,62972,5,10 +354,R100 ,R148 ,13587.71,0.79,76345,5,10 +355,R100 ,R144 ,11952.45,0.7,66017,7,10 +356,R300 ,R378 ,16005.66,0.93,69067,6,10 +357,R300 ,R378 ,16083.17,0.94,82732,6,10 +358,R200 ,R213 ,15717.28,0.92,67402,9,10 +359,R200 ,R205 ,22621.42,1.32,67096,9,10 +360,R100 ,R163 ,13269.87,0.77,74426,5,10 +361,R100 ,R137 ,10869.13,0.63,61750,5,10 +362,R200 ,R258 ,11993.62,0.7,66740,10,10 +363,R300 ,R377 ,17075.5,1,66706,9,10 +364,R100 ,R146 ,15159.91,0.88,66271,5,10 +365,R100 ,R137 ,13262.49,0.77,66062,5,10 +366,R100 ,R168 ,17256.12,1.01,65990,4,10 +373,R300 ,R334 ,14656.24,0.85,80648,4,10 +397,R100 ,R136 ,12922.53,0.75,67248,5,10 +530,R100 ,R107 ,19923.38,1.16,103457,7,10 +531,R100 ,R144 ,16151.47,0.94,84704,7,10 +532,R100 ,R107 ,17833.54,1.04,98036,7,10 +533,R100 ,R127 ,34191.9,1.99,89039,7,10 +604,R100 ,R136 ,14096.32,0.82,67111,5,10 +606,R200 ,R262 ,17183.87,1,66151,10,10 +607,R200 ,R262 ,14899.87,0.87,66057,10,10 +608,R200 ,R260 ,15644.36,0.91,66405,10,10 +609,R200 ,R260 ,11360.22,0.66,60279,10,10 +610,R100 ,R136 ,11809.55,0.69,66444,5,10 +611,R100 ,R137 ,11098.5,0.65,65653,5,10 +612,R200 ,R260 ,16885.54,0.98,74348,10,10 +613,R200 ,R260 ,12190.76,0.71,66333,10,10 +614,R200 ,R250 ,12850.16,0.75,66231,9,10 +615,R200 ,R208 ,13925.71,0.81,66575,9,10 +616,R100 ,R137 ,10833.78,0.63,66576,5,10 +617,R100 ,R161 ,20871.26,1.22,66088,10,10 +618,R100 ,R177 ,12361,0.72,50149,8,10 +619,R100 ,R126 ,19079.03,1.11,98794,5,10 +620,R100 ,R111 ,14951.87,0.87,67544,5,10 +622,R100 ,R148 ,11238.4,0.66,65458,5,10 +623,R100 ,R148 ,14675.69,0.86,66573,5,10 +624,R100 ,R148 ,11932.04,0.7,65750,5,10 +625,R300 ,R378 ,15289.87,0.89,75376,6,10 +626,R200 ,R237 ,13135.78,0.77,68252,9,10 +627,R200 ,R259 ,14874.91,0.87,66207,10,10 +628,R200 ,R262 ,18734.17,1.09,50594,10,10 +632,R100 ,R134 ,11463.05,0.67,66097,5,10 +634,R100 ,R148 ,15091.59,0.88,66189,5,10 +636,R100 ,R161 ,16625.41,0.97,66748,10,10 +637,R200 ,R259 ,13760.15,0.8,61785,10,10 +638,R300 ,R318 ,12475.7,0.73,66168,4,10 +639,R300 ,R374 ,12022.38,0.7,75334,9,10 +641,R200 ,R213 ,15340.49,0.89,75407,9,10 +642,R300 ,R310 ,16165.36,0.94,66799,4,10 +643,R100 ,R163 ,19057.3,1.11,92458,5,10 +645,R300 ,R315 ,11095.3,0.65,79182,4,10 +647,R300 ,R313 ,13955.94,0.81,75669,4,10 +649,R300 ,R324 ,15011.35,0.88,70602,4,10 +650,R300 ,R365 ,10206.04,0.6,66253,4,10 +652,R300 ,R314 ,13283.59,0.77,66845,4,10 +654,R300 ,R354 ,15300.77,0.89,76687,4,10 +655,R300 ,R314 ,13824.79,0.81,74609,4,10 +656,R300 ,R314 ,11401.5,0.66,73212,4,10 +657,R100 ,R114 ,16250.62,0.95,72026,5,10 +658,R100 ,R143 ,13334.06,0.78,56072,5,10 +659,R100 ,R114 ,14857.14,0.87,73784,5,10 +660,R200 ,R248 ,18044.54,1.05,82029,9,10 +661,R100 ,R131 ,11975.33,0.7,55260,5,10 +662,R100 ,R102 ,12920.75,0.75,73838,5,10 +663,R100 ,R111 ,14683.45,0.86,75436,5,10 +664,R100 ,R131 ,28491.6,1.66,90014,5,10 +665,R300 ,R354 ,12082.51,0.7,75447,4,10 +666,R100 ,R173 ,18710.74,1.09,85468,5,10 +669,R300 ,R315 ,13741.96,0.8,76207,4,10 +670,R100 ,R147 ,17538.55,1.02,85753,5,10 +671,R100 ,R136 ,15063.66,0.88,77104,5,10 +672,R100 ,R135 ,9472.64,0.55,56980,5,10 +673,R100 ,R148 ,12272.15,0.72,74994,5,10 +674,R100 ,R117 ,11906.48,0.69,74825,5,10 +675,R200 ,R247 ,12611.32,0.74,66790,9,10 +676,R200 ,R245 ,12996.93,0.76,76516,9,10 +677,R200 ,R244 ,15104.15,0.88,74961,9,10 +679,R100 ,R161 ,13577.39,0.79,56269,10,10 +680,R300 ,R380 ,12815.67,0.75,66975,9,10 +681,R200 ,R259 ,14110.54,0.82,75520,10,10 +682,R300 ,R332 ,14346.29,0.84,85748,4,10 +684,R300 ,R304 ,14466.89,0.84,74003,6,10 +685,R200 ,R219 ,14253.86,0.83,74776,9,10 +686,R300 ,R359 ,13970.9,0.81,74939,4,10 +687,R300 ,R324 ,22537.92,1.31,73964,4,10 +688,R300 ,R313 ,13191.38,0.77,74889,4,10 +689,R300 ,R360 ,11874.18,0.69,79256,4,10 +690,R300 ,R320 ,12607.31,0.74,75475,4,10 +692,R200 ,R212 ,16675.5,0.97,74657,9,10 +693,R100 ,R131 ,14323.35,0.84,75068,5,10 +694,R100 ,R102 ,19843.7,1.16,79452,5,10 +695,R300 ,R369 ,18813.73,1.1,79827,4,10 +696,R200 ,R264 ,11071.47,0.65,56332,10,10 +699,R100 ,R178 ,15547.59,0.91,75653,10,10 +700,R300 ,R376 ,13718.33,0.8,79122,9,10 +731,R100 ,R133 ,14704.79,0.86,80185,5,10 +732,R100 ,R121 ,16922.39,0.99,79893,5,10 +733,R100 ,R147 ,11778.71,0.69,56463,5,10 +734,R300 ,R348 ,13176.85,0.77,57593,4,10 +735,R300 ,R376 ,9886.67,0.58,65587,9,10 +736,R200 ,R232 ,14899.71,0.87,79654,9,10 +737,R200 ,R211 ,11658.33,0.68,79226,9,10 +738,R200 ,R218 ,12452.37,0.73,69457,9,10 +739,R100 ,R177 ,15816.5,0.92,74947,8,10 +740,R300 ,R348 ,13188.93,0.77,68100,4,10 +746,R300 ,R349 ,17283.73,1.01,82780,4,10 +747,R300 ,R346 ,12341.8,0.72,74525,4,10 +749,R300 ,R335 ,10602.2,0.62,83248,4,10 +750,R300 ,R348 ,16034.87,0.94,56541,4,10 +751,R100 ,R126 ,12347.29,0.72,75151,5,10 +752,R100 ,R118 ,12834.54,0.75,72085,7,10 +753,R100 ,R112 ,14159.83,0.83,75137,5,10 +754,R300 ,R331 ,13030.96,0.76,75437,4,10 +755,R300 ,R371 ,17954.69,1.05,81291,4,10 +756,R300 ,R351 ,12277.07,0.72,56090,4,10 +757,R100 ,R140 ,11394.52,0.66,71676,4,10 +758,R300 ,R321 ,9805.5,0.57,75314,6,10 +759,R400 ,R466 ,13812.66,0.81,82346,3,10 +760,R200 ,R265 ,12263.55,0.72,75243,10,10 +761,R200 ,R205 ,12517.46,0.73,79627,9,10 +762,R300 ,R355 ,13260.1,0.77,75079,4,10 +766,R200 ,R258 ,15063.67,0.88,57588,10,10 +767,R200 ,R206 ,11838.62,0.69,79816,9,10 +768,R100 ,R178 ,14300.03,0.83,79041,8,10 +769,R300 ,R374 ,12764.85,0.74,57193,6,10 +770,R300 ,R321 ,33605.62,1.96,75023,6,10 +771,R300 ,R327 ,12210.47,0.71,77443,6,10 +772,R400 ,R466 ,14169.17,0.83,79977,3,10 +773,R100 ,R140 ,10690.24,0.62,74470,5,10 +774,R100 ,R167 ,13946.17,0.81,70113,7,10 +775,R300 ,R302 ,11675,0.68,81270,6,10 +778,R300 ,R336 ,11251.62,0.66,83741,4,10 +779,R100 ,R168 ,10057.59,0.59,55763,4,10 +780,R100 ,R168 ,14748.17,0.86,75680,4,10 +792,R100 ,R174 ,12913.43,0.75,83730,5,10 +793,R100 ,R171 ,12900.57,0.75,82156,5,10 +794,R100 ,R171 ,18977.98,1.11,80586,5,10 +795,R300 ,R351 ,12827.42,0.75,74892,4,10 +796,R300 ,R335 ,12221.83,0.71,62396,4,10 +797,R300 ,R359 ,11817.54,0.69,75447,4,10 +798,R300 ,R314 ,11531.76,0.67,83273,4,10 +799,R300 ,R354 ,14277.17,0.83,80716,4,10 +800,R300 ,R304 ,15227.79,0.89,75364,6,10 +801,R300 ,R305 ,12687.79,0.74,74903,6,10 +802,R300 ,R305 ,10382.85,0.61,81104,6,10 +803,R100 ,R105 ,12177.95,0.71,73609,7,10 +804,R100 ,R111 ,14030.28,0.82,95593,7,10 +805,R100 ,R146 ,11351.29,0.66,55502,5,10 +806,R100 ,R146 ,11181.7,0.65,55848,5,10 +807,R100 ,R128 ,14802.49,0.86,75358,5,10 +808,R100 ,R128 ,14435.58,0.84,76023,5,10 +809,R100 ,R146 ,14463.27,0.84,75443,5,10 +810,R100 ,R150 ,18293.01,1.07,79359,5,10 +811,R300 ,R348 ,11270.38,0.66,74535,4,10 +812,R300 ,R354 ,13458.47,0.78,76779,4,10 +813,R300 ,R320 ,12430.83,0.73,83627,4,10 +815,R300 ,R318 ,18275.95,1.07,93937,4,10 +816,R300 ,R360 ,16732.91,0.98,83497,4,10 +817,R300 ,R354 ,12219.45,0.71,74986,4,10 +818,R300 ,R320 ,16331.83,0.95,95399,4,10 +819,R100 ,R134 ,14761.37,0.86,75749,5,10 +820,R100 ,R124 ,13094,0.76,74449,5,10 +821,R100 ,R114 ,13080.87,0.76,55736,5,10 +822,R300 ,R374 ,13598.9,0.79,73133,6,10 +823,R300 ,R374 ,10773.36,0.63,73354,6,10 +824,R300 ,R305 ,16570.77,0.97,73531,6,10 +825,R300 ,R375 ,21786.15,1.27,82399,9,10 +826,R300 ,R373 ,14130.02,0.82,77967,9,10 +827,R200 ,R247 ,14627.47,0.85,77096,9,10 +828,R200 ,R237 ,14267.82,0.83,79853,9,10 +830,R200 ,R265 ,14285.9,0.83,75195,10,10 +831,R100 ,R176 ,9757.66,0.57,54546,7,10 +832,R300 ,R378 ,10729.06,0.63,54430,6,10 +833,R100 ,R112 ,21095.08,1.23,94531,5,10 +834,R100 ,R122 ,10162.99,0.59,74093,5,10 +835,R100 ,R122 ,17435.22,1.02,95756,5,10 +836,R100 ,R122 ,18008.8,1.05,94990,5,10 +837,R100 ,R141 ,18986.37,1.11,74725,5,10 +838,R100 ,R115 ,16768.37,0.98,77118,5,10 +839,R100 ,R115 ,16029.09,0.93,81683,5,10 +840,R100 ,R115 ,18403.36,1.07,94895,5,10 +841,R100 ,R145 ,14517.66,0.85,73806,5,10 +842,R100 ,R121 ,13751.94,0.8,81006,5,10 +843,R100 ,R121 ,19472.96,1.14,73299,5,10 +844,R300 ,R348 ,18103.13,1.06,79801,4,10 +845,R300 ,R313 ,12493.38,0.73,75701,4,10 +847,R100 ,R114 ,17040.68,0.99,82758,5,10 +848,R100 ,R143 ,11848.11,0.69,56972,8,10 +849,R300 ,R374 ,15576.15,0.91,73085,6,10 +850,R300 ,R373 ,12381.32,0.72,75112,9,10 +851,R300 ,R375 ,10456.67,0.61,79594,9,10 +852,R200 ,R212 ,13930.61,0.81,75152,9,10 +853,R200 ,R246 ,14804.51,0.86,80007,9,10 +854,R300 ,R376 ,12662.51,0.74,79382,9,10 +855,R300 ,R376 ,12077.75,0.7,75102,9,10 +856,R100 ,R107 ,11568.85,0.67,56822,7,10 +857,R100 ,R107 ,12676.07,0.74,72247,7,10 +858,R300 ,R364 ,12123.38,0.71,81664,6,10 +859,R100 ,R143 ,11344.36,0.66,56053,8,10 +860,R100 ,R127 ,10387.94,0.61,57143,7,10 +861,R100 ,R131 ,14089.19,0.82,69349,5,10 +862,R100 ,R101 ,17025.68,0.99,75690,5,10 +863,R100 ,R128 ,16827.45,0.98,75267,5,10 +864,R100 ,R110 ,13243.49,0.77,57323,5,10 +865,R100 ,R150 ,16207.49,0.95,74598,5,10 +866,R100 ,R121 ,17452.99,1.02,74472,5,10 +867,R100 ,R115 ,15276.27,0.89,78734,5,10 +868,R100 ,R145 ,13700.88,0.8,72395,5,10 +870,R100 ,R133 ,14944.44,0.87,73340,5,10 +871,R100 ,R147 ,14713.99,0.86,75927,5,10 +872,R100 ,R137 ,19656.7,1.15,83744,5,10 +873,R300 ,R324 ,14953.98,0.87,82790,4,10 +874,R300 ,R313 ,11707.98,0.68,78991,4,10 +875,R300 ,R352 ,8397.58,0.49,80019,6,10 +876,R300 ,R321 ,7788.55,0.45,75175,6,10 +877,R300 ,R367 ,15207.69,0.89,79749,4,10 +878,R100 ,R105 ,12148.5,0.71,70402,7,10 +879,R100 ,R107 ,10502.31,0.61,57554,7,10 +880,R100 ,R122 ,14841.71,0.87,81730,5,10 +881,R100 ,R138 ,10260.59,0.6,75977,5,10 +882,R300 ,R303 ,13883.89,0.81,75518,6,10 +883,R200 ,R236 ,25053.52,1.46,80938,9,10 +884,R300 ,R377 ,12522.09,0.73,56068,9,10 +885,R100 ,R161 ,22473.63,1.31,83090,8,10 +887,R300 ,R303 ,11557.09,0.67,57918,6,10 +888,R300 ,R311 ,11238.45,0.66,70353,6,10 +891,R100 ,R127 ,10641.29,0.62,56494,5,10 +893,R100 ,R122 ,9777.19,0.57,75476,5,10 +894,R100 ,R121 ,12858.27,0.75,75096,5,10 +895,R100 ,R147 ,14090.52,0.82,68150,5,10 +896,R100 ,R135 ,15066.37,0.88,75471,5,10 +897,R300 ,R313 ,15443.46,0.9,79188,4,10 +898,R300 ,R313 ,11953.84,0.7,79408,4,10 +899,R300 ,R320 ,15640.01,0.91,79414,4,10 +901,R100 ,R136 ,13281.67,0.77,83241,5,10 +904,R100 ,R114 ,15871.84,0.93,83109,5,10 +905,R100 ,R129 ,11363.9,0.66,56016,7,10 +906,R100 ,R129 ,9824.93,0.57,56320,7,10 +907,R300 ,R364 ,12520.79,0.73,75033,6,10 +909,R300 ,R379 ,20735.77,1.21,78678,9,10 +910,R200 ,R258 ,17719.57,1.03,74972,10,10 +911,R200 ,R213 ,14027.57,0.82,83015,9,10 +912,R200 ,R206 ,12509.72,0.73,79722,9,10 +913,R200 ,R261 ,21092.98,1.23,80793,9,10 +914,R200 ,R261 ,17387.01,1.01,84371,9,10 +915,R100 ,R161 ,12881.37,0.75,57131,10,10 +917,R300 ,R346 ,16139.13,0.94,79750,4,10 +918,R300 ,R355 ,16759.65,0.98,79977,4,10 +919,R300 ,R314 ,10185.33,0.59,68358,4,10 +920,R300 ,R367 ,13588.43,0.79,79375,4,10 +921,R300 ,R332 ,15469.82,0.9,58807,4,10 +922,R100 ,R137 ,14012.34,0.82,77171,5,10 +923,R100 ,R148 ,14182.56,0.83,70222,5,10 +924,R100 ,R136 ,10767.7,0.63,56887,5,10 +926,R100 ,R127 ,13836.29,0.81,65842,5,10 +927,R100 ,R141 ,15681.73,0.91,83590,5,10 +928,R100 ,R141 ,15850.61,0.92,87622,5,10 +929,R100 ,R147 ,15001.34,0.87,70197,5,10 +930,R100 ,R114 ,14711.92,0.86,67846,5,10 +931,R100 ,R102 ,15310.65,0.89,75660,5,10 +935,R300 ,R377 ,17339.27,1.01,64122,9,10 +936,R300 ,R377 ,16544.2,0.96,79521,9,10 +937,R200 ,R212 ,20063.99,1.17,85010,9,10 +938,R200 ,R218 ,13301.26,0.78,80066,9,10 +939,R200 ,R248 ,16711.96,0.97,80185,9,10 +940,R200 ,R205 ,16258.42,0.95,79973,9,10 +941,R200 ,R245 ,16124.66,0.94,67592,9,10 +942,R100 ,R116 ,38219.99,2.23,96940,5,10 +943,R100 ,R147 ,18371.27,1.07,75469,5,10 +945,R100 ,R134 ,11838.7,0.69,59155,5,10 +947,R300 ,R352 ,8226.42,0.48,79824,6,10 +949,R200 ,R237 ,17603.78,1.03,85097,9,10 +950,R300 ,R379 ,13406.43,0.78,80012,9,10 +952,R300 ,R378 ,11938.23,0.7,66270,6,10 +953,R300 ,R304 ,10603.24,0.62,56116,6,10 +955,R300 ,R311 ,19753.34,1.15,74365,6,10 +957,R100 ,R115 ,11458.47,0.67,73816,5,10 +958,R300 ,R333 ,10952.48,0.64,56754,4,10 +959,R300 ,R333 ,9755.63,0.57,56667,4,10 +961,R300 ,R372 ,17747.27,1.04,81510,4,10 +962,R300 ,R371 ,11205.51,0.65,70079,4,10 +963,R300 ,R350 ,11458.97,0.67,58489,4,10 +964,R300 ,R371 ,11376.51,0.66,70045,4,10 +966,R300 ,R362 ,9217.09,0.54,62214,4,10 +967,R300 ,R315 ,14439.93,0.84,70385,4,10 +968,R300 ,R349 ,20125.68,1.17,83082,4,10 +969,R300 ,R334 ,9875.95,0.58,57011,4,10 +970,R300 ,R335 ,14499.95,0.85,75908,4,10 +981,R300 ,R334 ,13241.83,0.77,79540,4,10 +982,R300 ,R335 ,11540.62,0.67,74821,4,10 +984,R100 ,R171 ,14974.6,0.87,68595,5,10 +985,R100 ,R174 ,14832.65,0.87,75672,5,10 +986,R100 ,R171 ,11025.8,0.64,57584,5,10 +988,R100 ,R170 ,12355.24,0.72,63054,5,10 +989,R100 ,R169 ,11680.45,0.68,58275,5,10 +990,R100 ,R169 ,10210.04,0.6,57146,5,10 +992,R100 ,R117 ,14328.27,0.84,65440,7,10 +993,R300 ,R364 ,13744.05,0.8,74276,6,10 +995,R200 ,R264 ,20885.95,1.22,82546,10,10 +996,R200 ,R265 ,16589.49,0.97,75233,10,10 +997,R200 ,R201 ,15421.41,0.9,84558,9,10 +1000,R400 ,R411 ,14057.39,0.82,74789,3,10 +1001,R400 ,R411 ,13268.69,0.77,87398,3,10 +1002,R400 ,R411 ,16054.98,0.94,84630,3,10 +1003,R400 ,R415 ,14109.36,0.82,82540,3,10 +1004,R400 ,R415 ,11784.21,0.69,79136,3,10 +1005,R400 ,R466 ,12042.22,0.7,68204,3,10 +1006,R400 ,R412 ,17199.14,1,82372,3,10 +1007,R400 ,R448 ,14373.35,0.84,82088,3,10 +1008,R400 ,R415 ,13985.06,0.82,83379,3,10 +1009,R400 ,R441 ,14171.18,0.83,74705,3,10 +1010,R400 ,R416 ,14718.4,0.86,82060,2,10 +1011,R400 ,R416 ,12925.4,0.75,75375,2,10 +1012,R400 ,R416 ,11941.58,0.7,74898,2,10 +1013,R400 ,R416 ,13957.03,0.81,74932,2,10 +1014,R400 ,R416 ,11156.08,0.65,75024,2,10 +1015,R300 ,R371 ,15384.24,0.9,71263,4,10 +1016,R400 ,R417 ,13455.75,0.78,75665,3,10 +1017,R400 ,R417 ,12332.08,0.72,69990,3,10 +1018,R400 ,R417 ,20712.37,1.21,82804,3,10 +1019,R400 ,R417 ,11427,0.67,83081,3,10 +1021,R300 ,R370 ,14852.7,0.87,76304,3,10 +1022,R300 ,R371 ,13437.58,0.78,57277,4,10 +1023,R300 ,R354 ,15593.41,0.91,85795,4,10 +1024,R100 ,R115 ,21665.05,1.26,84615,5,10 +1025,R200 ,R246 ,13903.17,0.81,81194,9,10 +1026,R200 ,R247 ,12856.44,0.75,75357,9,10 +1027,R200 ,R240 ,21268.54,1.24,81889,9,10 +1028,R200 ,R217 ,15093.6,0.88,83790,9,10 +1029,R200 ,R231 ,23800.31,1.39,87063,9,10 +1030,R300 ,R332 ,15032.77,0.88,82969,4,10 +1031,R100 ,R167 ,21315.47,1.24,83823,7,10 +1032,R300 ,R352 ,9621.68,0.56,79793,6,10 +1033,R200 ,R263 ,13752.57,0.8,74564,9,10 +1034,R300 ,R378 ,15048.36,0.88,80008,6,10 +1035,R100 ,R118 ,16421.83,0.96,79010,7,10 +1036,R100 ,R150 ,15931.75,0.93,75424,5,10 +1037,R100 ,R172 ,13312.31,0.78,72938,5,10 +1038,R300 ,R367 ,20952.9,1.22,82276,4,10 +1039,R300 ,R349 ,21585.09,1.26,75780,4,10 +1040,R200 ,R261 ,17256.26,1.01,82212,9,10 +1041,R400 ,R417 ,13848.16,0.81,83308,3,10 +1042,R400 ,R448 ,22541.27,1.31,74488,3,10 +1043,R400 ,R411 ,9674.19,0.56,57629,3,10 +1044,R400 ,R448 ,18648.55,1.09,74381,3,10 +1045,R400 ,R411 ,12697.34,0.74,57680,3,10 +1046,R400 ,R448 ,15008.95,0.88,74546,3,10 +1047,R300 ,R370 ,17068.33,1,84460,3,10 +1048,R300 ,R370 ,12571.53,0.73,89661,3,10 +1049,R400 ,R417 ,19411.15,1.13,83480,3,10 +1050,R300 ,R360 ,13629.29,0.79,78543,4,10 +1051,R300 ,R354 ,14358.95,0.84,57784,4,10 +1052,R100 ,R136 ,13649.62,0.8,83128,5,10 +1053,R300 ,R360 ,10981.1,0.64,81251,4,10 +1054,R200 ,R210 ,16034.08,0.94,79288,9,10 +1055,R400 ,R419 ,15761.67,0.92,74162,2,10 +1056,R400 ,R467 ,19275.98,1.12,81604,2,10 +1057,R400 ,R416 ,19422.2,1.13,85123,2,10 +1058,R100 ,R169 ,26827.81,1.56,77525,5,10 +1059,R300 ,R333 ,11100.21,0.65,76026,4,10 +1060,R100 ,R146 ,18741.09,1.09,85682,5,10 +1061,R300 ,R322 ,27634.12,1.61,77934,6,10 +1062,R200 ,R245 ,19180.99,1.12,84643,9,10 +1063,R100 ,R138 ,15725.63,0.92,75663,5,10 +1064,R200 ,R265 ,11304.91,0.66,56919,10,10 +1065,R300 ,R302 ,8036.52,0.47,78622,6,10 +1066,R300 ,R341 ,10094.74,0.59,82977,6,10 +1068,R100 ,R111 ,11222.77,0.65,54672,5,10 +1069,R100 ,R146 ,13950.53,0.81,85092,5,10 +1070,R100 ,R150 ,11085.66,0.65,58193,5,10 +1071,R100 ,R168 ,14238.13,0.83,79308,4,10 +1072,R100 ,R169 ,20588.88,1.2,84598,5,10 +1073,R300 ,R336 ,10449.04,0.61,55976,4,10 +1074,R300 ,R367 ,15783.12,0.92,75181,4,10 +1075,R300 ,R349 ,11196.88,0.65,74087,4,10 +1076,R400 ,R412 ,22054.33,1.29,79882,3,10 +1077,R300 ,R358 ,12022.74,0.7,75830,4,10 +1078,R300 ,R358 ,12216.56,0.71,80443,4,10 +1079,R300 ,R358 ,10462.42,0.61,57122,4,10 +1080,R300 ,R372 ,12041.19,0.7,79206,4,10 +1081,R300 ,R362 ,10805.16,0.63,78940,4,10 +1082,R100 ,R178 ,13987.89,0.82,56530,10,10 +1083,R400 ,R451 ,10262.03,0.6,78939,2,10 +1084,R400 ,R419 ,14913.21,0.87,73647,2,10 +1085,R400 ,R422 ,17797.87,1.04,76086,2,10 +1086,R300 ,R358 ,14044.87,0.82,79541,4,10 +1087,R300 ,R355 ,14673.58,0.86,80952,4,10 +1088,R400 ,R441 ,18484.7,1.08,81178,3,10 +1090,R300 ,R337 ,15288.34,0.89,84845,4,10 +1091,R100 ,R172 ,14574.08,0.85,81192,5,10 +1092,R100 ,R172 ,16969.16,0.99,83984,5,10 +1094,R100 ,R168 ,13793.7,0.8,78733,4,10 +1095,R100 ,R126 ,14865.29,0.87,82374,5,10 +1096,R100 ,R111 ,12782.47,0.75,66120,5,10 +1097,R200 ,R208 ,14637.24,0.85,67586,9,10 +1098,R200 ,R220 ,13887.15,0.81,83914,9,10 +1100,R200 ,R240 ,21448.34,1.25,83303,9,10 +1101,R100 ,R117 ,14793.07,0.86,78536,7,10 +1102,R100 ,R118 ,23101.55,1.35,87697,7,10 +1103,R300 ,R370 ,25616.65,1.49,84246,3,10 +1104,R300 ,R371 ,11324.7,0.66,78459,4,10 +1105,R300 ,R370 ,12581.38,0.73,79341,3,10 +1106,R300 ,R334 ,11322.44,0.66,78249,4,10 +1107,R300 ,R371 ,14886.03,0.87,79096,4,10 +1108,R400 ,R424 ,11003.09,0.64,73761,2,10 +1109,R400 ,R450 ,14145,0.83,79394,2,10 +1110,R300 ,R310 ,12190.37,0.71,78641,4,10 +1112,R100 ,R170 ,14990.05,0.87,77496,5,10 +1113,R100 ,R127 ,20601.29,1.2,78812,7,10 +1114,R100 ,R167 ,13789.7,0.8,83990,6,10 +1115,R300 ,R304 ,12955.25,0.76,78319,6,10 +1116,R300 ,R306 ,10543.9,0.61,79008,6,10 +1117,R300 ,R378 ,13617.13,0.79,78255,6,10 +1118,R200 ,R264 ,22466.87,1.31,79799,10,10 +1120,R200 ,R240 ,13126.34,0.77,70788,9,10 +1121,R200 ,R220 ,22210.7,1.3,83934,9,10 +1122,R200 ,R210 ,18475.35,1.08,81029,9,10 +1124,R300 ,R364 ,12002.15,0.7,79023,6,10 +1125,R100 ,R112 ,12638.07,0.74,62204,5,10 +1126,R300 ,R333 ,13139.84,0.77,78886,4,10 +1128,R100 ,R173 ,14548.73,0.85,80305,5,10 +1129,R100 ,R173 ,13539.23,0.79,79721,5,10 +1131,R300 ,R354 ,14374.63,0.84,78799,4,10 +1132,R400 ,R422 ,14373.61,0.84,84626,2,10 +1133,R400 ,R422 ,14022.38,0.82,79655,2,10 +1134,R400 ,R453 ,15159.2,0.88,78859,3,10 +1135,R400 ,R462 ,19665.56,1.15,85269,3,10 +1136,R400 ,R453 ,13097.71,0.76,78977,3,10 +1137,R400 ,R448 ,15243.67,0.89,78353,3,10 +1138,R400 ,R448 ,17921.49,1.05,85901,3,10 +1139,R400 ,R455 ,27999.72,1.63,89058,2,10 +1140,R200 ,R201 ,16988.81,0.99,80860,9,10 +1141,R300 ,R377 ,12812.43,0.75,79106,9,10 +1142,R400 ,R411 ,15035.9,0.88,82658,3,10 +1143,R200 ,R245 ,12793.1,0.75,79506,9,10 +1144,R100 ,R124 ,21673.35,1.26,81623,5,10 +1146,R400 ,R453 ,33031.59,1.93,80804,3,10 +1147,R400 ,R455 ,14760.76,0.86,79867,2,10 +1148,R400 ,R424 ,13470.5,0.79,81984,2,10 +1150,R400 ,R469 ,25788.59,1.5,83349,2,10 +1151,R400 ,R450 ,15274.37,0.89,79397,2,10 +1152,R400 ,R419 ,13937.29,0.81,79011,2,10 +1153,R400 ,R450 ,23008.64,1.34,84564,2,10 +1154,R400 ,R450 ,16797.18,0.98,78819,2,10 +1155,R400 ,R419 ,13177.32,0.77,80978,2,10 +1156,R400 ,R467 ,17689.87,1.03,79459,2,10 +1157,R400 ,R416 ,13734.36,0.8,79557,2,10 +1158,R400 ,R422 ,13956.47,0.81,79348,2,10 +1159,R400 ,R421 ,18608.6,1.09,82152,3,10 +1160,R400 ,R430 ,11125.02,0.65,62480,3,10 +1161,R300 ,R370 ,13171.81,0.77,79065,3,10 +1162,R400 ,R457 ,14130.48,0.82,79301,3,10 +1163,R300 ,R318 ,18493.36,1.08,84345,4,10 +1164,R300 ,R336 ,10590.98,0.62,78743,4,10 +1165,R300 ,R334 ,12077.48,0.7,79712,4,10 +1166,R100 ,R150 ,14064.14,0.82,78521,5,10 +1167,R100 ,R112 ,17379.38,1.01,80765,5,10 +1168,R100 ,R112 ,18790.14,1.1,81642,5,10 +1169,R300 ,R332 ,11280.83,0.66,78478,4,10 +1170,R100 ,R105 ,15595.7,0.91,78914,7,10 +1171,R300 ,R380 ,17415.95,1.02,82328,9,10 +1172,R300 ,R336 ,9759.44,0.57,62950,4,10 +1175,R400 ,R446 ,18480.61,1.08,76110,2,10 +1176,R100 ,R112 ,17171.21,1,77791,5,10 +1177,R100 ,R123 ,15118.3,0.88,79774,7,10 +1178,R100 ,R176 ,12340.5,0.72,78861,8,10 +1179,R300 ,R340 ,15139.54,0.88,78851,4,10 +1180,R300 ,R358 ,13044.07,0.76,79698,4,10 +1181,R300 ,R362 ,10450.84,0.61,79400,4,10 +1182,R300 ,R337 ,16836.04,0.98,79479,4,10 +1183,R400 ,R462 ,13107.52,0.76,79279,3,10 +1184,R400 ,R450 ,9849.95,0.57,80286,2,10 +1185,R100 ,R126 ,17363.88,1.01,81612,5,10 +1186,R400 ,R452 ,15409.89,0.9,74371,1,10 +1187,R400 ,R452 ,20348.66,1.19,77961,1,10 +1188,R400 ,R428 ,13428.24,0.78,79648,1,10 +1189,R400 ,R428 ,14250.59,0.83,79736,1,10 +1190,R400 ,R470 ,12793.33,0.75,79611,1,10 +1191,R400 ,R424 ,12364.48,0.72,80719,2,10 +1192,R400 ,R450 ,14769.51,0.86,74289,2,10 +1193,R400 ,R448 ,19389.97,1.13,85733,3,10 +1194,R400 ,R416 ,13524.5,0.79,80037,2,10 +1195,R400 ,R467 ,14231.23,0.83,80267,2,10 +1196,R400 ,R421 ,15065.12,0.88,80017,3,10 +1197,R300 ,R335 ,21077.27,1.23,80742,4,10 +1198,R300 ,R337 ,13790.65,0.8,79458,4,10 +1199,R300 ,R337 ,12523.74,0.73,79304,4,10 +1200,R100 ,R172 ,13295.01,0.78,79646,4,10 +1201,R100 ,R123 ,13544,0.79,81430,7,10 +1204,R300 ,R327 ,11405.33,0.67,79878,6,10 +1205,R200 ,R262 ,14477.44,0.84,80534,10,10 +1206,R300 ,R346 ,14214.46,0.83,80243,4,10 +1207,R300 ,R373 ,20865.33,1.22,82256,9,10 +1208,R200 ,R211 ,22029.06,1.28,82114,9,10 +1209,R300 ,R379 ,14094.86,0.82,80224,9,10 +1210,R100 ,R131 ,10714.23,0.62,79360,5,10 +1211,R100 ,R111 ,14078.84,0.82,80387,5,10 +1212,R100 ,R128 ,14011.98,0.82,63259,5,10 +1213,R100 ,R121 ,12974.21,0.76,79146,5,10 +1214,R100 ,R140 ,8109.67,0.47,79013,5,10 +1215,R100 ,R174 ,10601.42,0.62,79046,5,10 +1216,R400 ,R454 ,14410.69,0.84,79294,3,10 +1217,R400 ,R430 ,16143.12,0.94,80165,3,10 +1218,R400 ,R430 ,11138.91,0.65,79979,3,10 +1219,R400 ,R454 ,15455.74,0.9,79945,3,10 +1220,R400 ,R454 ,12999.54,0.76,79354,3,10 +1221,R400 ,R431 ,13904,0.81,79928,3,10 +1222,R400 ,R431 ,16531.44,0.96,80225,3,10 +1223,R300 ,R336 ,14408.13,0.84,80433,4,10 +1224,R400 ,R419 ,10164.62,0.59,81838,2,10 +1225,R400 ,R417 ,13041.87,0.76,80551,3,10 +1226,R300 ,R371 ,11064.58,0.65,63020,4,10 +1227,R400 ,R447 ,11871.08,0.69,79768,1,10 +1228,R400 ,R468 ,17561.85,1.02,80552,1,10 +1229,R400 ,R452 ,18859.41,1.1,83211,1,10 +1230,R100 ,R161 ,19998.5,1.17,79519,10,10 +1231,R300 ,R302 ,9206.64,0.54,79375,6,10 +1232,R400 ,R439 ,14797.27,0.86,87986,1,10 +1233,R400 ,R415 ,11725.46,0.68,62042,3,10 +1234,R400 ,R457 ,13125.97,0.77,79367,3,10 +1235,R100 ,R102 ,14789.14,0.86,78414,5,10 +1236,R100 ,R173 ,16660.4,0.97,81797,5,10 +1237,R100 ,R161 ,24438.29,1.43,78241,8,10 +1238,R200 ,R202 ,18677.19,1.09,79905,9,10 +1239,R200 ,R220 ,11286.18,0.66,79193,9,10 +1241,R100 ,R118 ,14363.32,0.84,79052,7,10 +1242,R300 ,R375 ,14528.31,0.85,81165,9,10 +1244,R100 ,R124 ,13415.1,0.78,81303,5,10 +1246,R100 ,R128 ,10999.6,0.64,63183,5,10 +1247,R100 ,R128 ,16005.53,0.93,83242,5,10 +1248,R100 ,R128 ,15318.3,0.89,79830,5,10 +1249,R400 ,R439 ,14685.61,0.86,81453,1,10 +1250,R300 ,R351 ,12324.57,0.72,80155,4,10 +1251,R100 ,R134 ,14639.79,0.85,81741,5,10 +1252,R100 ,R173 ,14030.26,0.82,81000,5,10 +1253,R400 ,R454 ,14300.85,0.83,81697,3,10 +1254,R400 ,R431 ,15113.43,0.88,80391,3,10 +1255,R400 ,R439 ,16585.27,0.97,81167,1,10 +1256,R400 ,R421 ,14669.22,0.86,82210,3,10 +1257,R400 ,R448 ,13004.29,0.76,63664,3,10 +1258,R400 ,R415 ,14006.86,0.82,80424,3,10 +1259,R400 ,R430 ,14837.91,0.87,80493,3,10 +1260,R400 ,R461 ,14254.66,0.83,79752,3,10 +1261,R100 ,R169 ,17535.15,1.02,80978,3,10 +1263,R400 ,R446 ,11517.84,0.67,71425,2,10 +1264,R400 ,R455 ,17426.34,1.02,82748,2,10 +1265,R400 ,R411 ,13676.07,0.8,80181,3,10 +1266,R400 ,R452 ,17968.16,1.05,83686,1,10 +1267,R400 ,R439 ,14506.19,0.85,80481,1,10 +1268,R400 ,R438 ,16958.27,0.99,79959,2,10 +1269,R400 ,R421 ,18921.78,1.1,82963,3,10 +1270,R400 ,R454 ,13033.07,0.76,78340,3,10 +1271,R400 ,R438 ,17143.28,1,80121,2,10 +1272,R100 ,R101 ,15188.72,0.89,80758,5,10 +1273,R300 ,R359 ,13815.79,0.81,79850,4,10 +1274,R300 ,R359 ,12682.06,0.74,78868,4,10 +1275,R400 ,R457 ,15737.15,0.92,80027,3,10 +1278,R100 ,R117 ,13831.31,0.81,79474,7,10 +1279,R100 ,R117 ,14764.1,0.86,81064,7,10 +1280,R100 ,R118 ,16188.82,0.94,80452,7,10 +1281,R400 ,R468 ,12969.39,0.76,81367,1,10 +1282,R100 ,R161 ,12354.55,0.72,56298,8,10 +1283,R200 ,R205 ,15097.95,0.88,79886,9,10 +1284,R200 ,R264 ,25793.89,1.5,82810,10,10 +1285,R100 ,R148 ,14530.65,0.85,80626,5,10 +1286,R100 ,R133 ,15769.99,0.92,80906,5,10 +1287,R100 ,R170 ,13921.28,0.81,81542,3,10 +1288,R400 ,R430 ,15454.86,0.9,80472,3,10 +1289,R400 ,R439 ,19364.94,1.13,81467,1,10 +1290,R400 ,R452 ,11960.35,0.7,63834,1,10 +1291,R400 ,R421 ,12250.01,0.71,80365,3,10 +1292,R400 ,R457 ,16208.91,0.95,79934,3,10 +1293,R200 ,R202 ,22852.88,1.33,85522,9,10 +1294,R300 ,R313 ,17682.77,1.03,79679,4,10 +1295,R400 ,R412 ,13334.85,0.78,79468,3,10 +1296,R400 ,R451 ,16585.17,0.97,79249,2,10 +1298,R300 ,R350 ,14447.75,0.84,79876,4,10 +1299,R300 ,R314 ,15354.12,0.9,79715,4,10 +1300,R300 ,R315 ,15217.94,0.89,80226,4,10 +1301,R100 ,R171 ,14515.28,0.85,80208,5,10 +1302,R300 ,R333 ,23175.96,1.35,79567,4,10 +1303,R100 ,R124 ,13451.41,0.78,81107,5,10 +1304,R200 ,R218 ,16774.45,0.98,81102,9,10 +1305,R200 ,R222 ,20472.84,1.19,86040,9,10 +1306,R200 ,R204 ,32559.93,1.9,91970,9,10 +1307,R200 ,R209 ,21987.41,1.28,83980,9,10 +1308,R400 ,R470 ,18482.67,1.08,83345,1,10 +1309,R200 ,R209 ,15277.8,0.89,81646,9,10 +1310,R300 ,R337 ,11012.4,0.64,79479,4,10 +1311,R100 ,R110 ,14029.58,0.82,82227,5,10 +1312,R400 ,R453 ,14622.92,0.85,80088,3,10 +1313,R100 ,R135 ,23476.69,1.37,86317,5,10 +1314,R100 ,R117 ,14457.01,0.84,80920,7,10 +1315,R400 ,R419 ,11562.07,0.67,80625,2,10 +1316,R300 ,R376 ,13610.25,0.79,80978,9,10 +1317,R100 ,R148 ,12925.82,0.75,81033,5,10 +1318,R400 ,R451 ,16736.78,0.98,78508,2,10 +1319,R300 ,R337 ,12855.22,0.75,80331,4,10 +1322,R300 ,R369 ,13086.18,0.76,79663,4,10 +1323,R100 ,R122 ,14305.24,0.83,95195,5,10 +1324,R100 ,R170 ,13496.36,0.79,81663,5,10 +1325,R100 ,R174 ,14430.11,0.84,81330,5,10 +1326,R100 ,R177 ,15237.48,0.89,79425,8,10 +1327,R300 ,R377 ,12630.56,0.74,80721,9,10 +1328,R200 ,R222 ,23358.4,1.36,81521,9,10 +1329,R200 ,R239 ,17148.27,1,82561,9,10 +1330,R400 ,R446 ,15806.71,0.92,80652,2,10 +1331,R200 ,R264 ,14018.96,0.82,81655,10,10 +1332,R200 ,R236 ,21445.53,1.25,82277,9,10 +1333,R100 ,R161 ,16263.73,0.95,79126,8,10 +1334,R100 ,R128 ,17864.74,1.04,80908,5,10 +1335,R300 ,R375 ,15171.29,0.88,80519,9,10 +1336,R300 ,R311 ,24842.32,1.45,95996,6,10 +1337,R300 ,R318 ,12336.16,0.72,85393,4,10 +1338,R400 ,R447 ,17778.52,1.04,80001,1,10 +1339,R300 ,R306 ,21062.07,1.23,93983,6,10 +1340,R200 ,R217 ,16611.88,0.97,84922,9,10 +1341,R400 ,R466 ,18120.18,1.06,81178,3,10 +1342,R100 ,R141 ,15531.83,0.91,81296,5,10 +1344,R400 ,R469 ,22846.31,1.33,82594,2,10 +1345,R400 ,R450 ,13408.56,0.78,80360,2,10 +1346,R300 ,R369 ,14549.77,0.85,94357,4,10 +1347,R300 ,R353 ,12193.9,0.71,94361,6,10 +1348,R400 ,R468 ,15041.11,0.88,80072,1,10 +1349,R300 ,R337 ,13841.34,0.81,79596,4,10 +1350,R100 ,R138 ,30718.17,1.79,95521,5,10 +1351,R100 ,R111 ,24733.96,1.44,100835,5,10 +1352,R100 ,R101 ,19718.35,1.15,94257,5,10 +1353,R100 ,R118 ,15134.69,0.88,84225,7,10 +1354,R300 ,R327 ,17198.42,1,94215,6,10 +1355,R200 ,R262 ,15925.03,0.93,80115,10,10 +1356,R100 ,R101 ,21051.73,1.23,103397,5,10 +1357,R300 ,R373 ,13590.44,0.79,79802,8,10 +1358,R400 ,R459 ,10900.3,0.64,77528,2,10 +1359,R300 ,R311 ,14125.21,0.82,95097,6,10 +1360,R300 ,R377 ,18079.46,1.05,85527,9,10 +1361,R300 ,R375 ,13041.25,0.76,82293,9,10 +1362,R200 ,R236 ,31221.44,1.82,85097,9,10 +1363,R200 ,R220 ,16885.45,0.98,85327,9,10 +1364,R100 ,R140 ,15796.29,0.92,95279,5,10 +1365,R400 ,R422 ,16904.97,0.99,79025,2,10 +1366,R100 ,R138 ,19422.64,1.13,95278,5,10 +1367,R300 ,R369 ,21935.64,1.28,95279,4,10 +1368,R300 ,R321 ,15959.63,0.93,95107,6,10 +1369,R300 ,R353 ,20938.86,1.22,97765,6,10 +1370,R300 ,R351 ,21402.18,1.25,94830,4,10 +1371,R300 ,R355 ,18402.2,1.07,78748,4,10 +1372,R100 ,R175 ,18704.56,1.09,98021,8,10 +1373,R400 ,R460 ,12884.8,0.75,80056,1,10 +1374,R400 ,R428 ,15221.4,0.89,80795,1,10 +1375,R100 ,R126 ,18618.96,1.09,83566,5,10 +1376,R300 ,R359 ,17153.75,1,94993,4,10 +1377,R300 ,R303 ,14410.68,0.84,95711,6,10 +1378,R400 ,R450 ,19715.08,1.15,85219,2,10 +1380,R300 ,R346 ,47074.8,2.75,79595,4,10 +1381,R100 ,R171 ,12612.89,0.74,80521,5,10 +1382,R300 ,R314 ,34903.38,2.04,94993,4,10 +1383,R200 ,R244 ,15240.51,0.89,85622,9,10 +1384,R200 ,R250 ,34506.5,2.01,85650,9,10 +1385,R100 ,R112 ,15226.12,0.89,80772,5,10 +1386,R300 ,R374 ,14175.13,0.83,80878,9,10 +1388,R100 ,R123 ,13260.85,0.77,80152,7,10 +1389,R400 ,R422 ,13918.33,0.81,81639,2,10 +1390,R300 ,R346 ,15809.78,0.92,79934,4,10 +1391,R300 ,R350 ,15032.69,0.88,79377,4,10 +1392,R100 ,R123 ,31337.39,1.83,95000,7,10 +1393,R100 ,R172 ,13678.93,0.8,79856,5,10 +1394,R300 ,R335 ,14994.85,0.87,95605,4,10 +1395,R300 ,R326 ,13013.86,0.76,95743,6,10 +1396,R300 ,R303 ,17825.5,1.04,95078,6,10 +1397,R300 ,R301 ,15724.42,0.92,94846,6,10 +1398,R300 ,R301 ,24879.51,1.45,94864,6,10 +1399,R300 ,R353 ,14691.16,0.86,79472,6,10 +1400,R300 ,R336 ,13578.61,0.79,95628,4,10 +1401,R400 ,R469 ,17203.32,1,84844,2,10 +1402,R100 ,R115 ,13736.85,0.8,79895,5,10 +1403,R100 ,R115 ,13620.81,0.79,84794,5,10 +1404,R400 ,R428 ,13940.57,0.81,79683,1,10 +1405,R200 ,R260 ,13101.65,0.76,79864,10,10 +1406,R200 ,R260 ,15898.42,0.93,78002,10,10 +1407,R200 ,R210 ,20547.2,1.2,76106,9,10 +1408,R200 ,R236 ,27562.74,1.61,77741,9,10 +1409,R200 ,R207 ,27878.23,1.63,84687,9,10 +1410,R200 ,R201 ,32452.36,1.89,88936,9,10 +1411,R200 ,R263 ,16017.4,0.93,79155,9,10 +1413,R100 ,R175 ,15207.33,0.89,85438,8,10 +1414,R400 ,R430 ,13957.06,0.81,77501,3,10 +1415,R400 ,R448 ,18922.65,1.1,82904,3,10 +1416,R400 ,R441 ,14708.29,0.86,80098,3,10 +1417,R200 ,R213 ,15727.61,0.92,81041,9,10 +1418,R200 ,R244 ,16708.99,0.97,78174,9,10 +1419,R200 ,R260 ,18432.1,1.08,81868,10,10 +1420,R300 ,R370 ,11546.59,0.67,62802,3,10 +1421,R200 ,R260 ,17185.44,1,79427,9,10 +1422,R200 ,R237 ,20517.5,1.2,78465,9,10 +1423,R200 ,R206 ,13769.65,0.8,77332,9,10 +1424,R200 ,R217 ,19904.37,1.16,80465,9,10 +1425,R200 ,R263 ,20894.31,1.22,78662,9,10 +1426,R200 ,R237 ,18938.16,1.1,79716,9,10 +1427,R200 ,R233 ,20566.2,1.2,88324,9,10 +1428,R200 ,R211 ,19987.72,1.17,78509,9,10 +1429,R300 ,R379 ,12286.66,0.72,80337,9,10 +1430,R300 ,R326 ,12633.06,0.74,94626,6,10 +1431,R400 ,R441 ,26944.05,1.57,90013,3,10 +1432,R300 ,R377 ,13568.45,0.79,79816,9,10 +1435,R300 ,R364 ,15195.82,0.89,81361,6,10 +1436,R100 ,R144 ,22996.24,1.34,78564,7,10 +1437,R100 ,R141 ,20784.42,1.21,92520,5,10 +1438,R200 ,R247 ,11378.66,0.66,59126,9,10 +1439,R300 ,R376 ,16151.14,0.94,79653,9,10 +1441,R400 ,R429 ,11597.57,0.68,60789,1,10 +1442,R400 ,R429 ,31402.58,1.83,90993,1,10 +1443,R400 ,R462 ,19582.85,1.14,73075,3,10 +1444,R200 ,R258 ,41456.43,2.42,79606,10,10 +1445,R100 ,R133 ,21046.09,1.23,94300,5,10 +1446,R100 ,R133 ,12958.75,0.76,77910,5,10 +1447,R100 ,R172 ,13750.87,0.8,79846,5,10 +1448,R100 ,R124 ,20413.45,1.19,94866,5,10 +1449,R300 ,R331 ,19998.13,1.17,82829,6,10 +1450,R300 ,R331 ,15567.47,0.91,79546,6,10 +1451,R300 ,R331 ,13618.26,0.79,79783,6,10 +1452,R300 ,R337 ,13203.65,0.77,80883,4,10 +1453,R300 ,R346 ,16843.49,0.98,80290,4,10 +1454,R300 ,R320 ,15849.37,0.92,80019,4,10 +1455,R100 ,R123 ,19161.4,1.12,94722,7,10 +1456,R100 ,R124 ,17681.74,1.03,94306,5,10 +1457,R300 ,R304 ,11364.39,0.66,94628,6,10 +1458,R300 ,R304 ,17584.32,1.03,94658,6,10 +1459,R300 ,R303 ,18111.48,1.06,94434,6,10 +1460,R100 ,R145 ,11495.93,0.67,79898,5,10 +1461,R300 ,R346 ,14904.54,0.87,94871,4,10 +1462,R300 ,R373 ,14882.73,0.87,83934,9,10 +1463,R100 ,R171 ,15408.63,0.9,80236,5,10 +1464,R400 ,R461 ,11662.73,0.68,80767,2,10 +1465,R100 ,R137 ,16060.82,0.94,80600,5,10 +1466,R100 ,R134 ,15546.77,0.91,80184,5,10 +1467,R400 ,R419 ,15155.51,0.88,80047,2,10 +1468,R300 ,R348 ,18186.62,1.06,82108,4,10 +1469,R300 ,R353 ,61312.57,3.58,80610,6,10 +1470,R100 ,R167 ,16364.57,0.95,79786,6,10 +1471,R100 ,R175 ,15954.86,0.93,95756,8,10 +1472,R200 ,R211 ,13471.26,0.79,77852,9,10 +1473,R300 ,R353 ,19010.14,1.11,95348,6,10 +1474,R400 ,R461 ,15159.92,0.88,79873,3,10 +1475,R400 ,R467 ,13767,0.8,80833,2,10 +1476,R400 ,R467 ,14527.01,0.85,79280,2,10 +1477,R400 ,R438 ,15080.73,0.88,79713,2,10 +1478,R100 ,R169 ,13882.8,0.81,79796,3,10 +1479,R100 ,R168 ,12891.86,0.75,79728,4,10 +1480,R300 ,R367 ,13070.76,0.76,80034,4,10 +1481,R100 ,R140 ,19755.47,1.15,84260,5,10 +1482,R100 ,R136 ,14472.82,0.84,80809,5,10 +1483,R100 ,R128 ,14561.18,0.85,79837,5,10 +1484,R100 ,R163 ,18753.39,1.09,94822,5,10 +1485,R200 ,R231 ,18068.32,1.05,80187,9,10 +1486,R300 ,R335 ,18023.41,1.05,84388,4,10 +1487,R100 ,R144 ,20972.67,1.22,84348,7,10 +1489,R300 ,R302 ,12780.93,0.75,94372,6,10 +1490,R300 ,R305 ,13568.24,0.79,79570,6,10 +1491,R400 ,R446 ,16934.42,0.99,79942,2,10 +1492,R400 ,R467 ,14625.56,0.85,79907,2,10 +1493,R300 ,R350 ,16529.17,0.96,81017,4,10 +1495,R400 ,R428 ,14986.81,0.87,79343,1,10 +1496,R400 ,R468 ,13230.69,0.77,78045,1,10 +1497,R300 ,R315 ,11006.6,0.64,79928,4,10 +1499,R300 ,R340 ,14006.27,0.82,80166,4,10 +1500,R100 ,R179 ,20110.3,1.17,94844,8,10 +1501,R100 ,R177 ,20363.69,1.19,94939,8,10 +1502,R200 ,R208 ,21349.7,1.25,85173,9,10 +1504,R300 ,R372 ,19012.51,1.11,94142,4,10 +1505,R300 ,R362 ,20788.14,1.21,94433,4,10 +1506,R300 ,R321 ,28557.96,1.67,79612,6,10 +1507,R200 ,R211 ,10823.89,0.63,82990,9,10 +1508,R400 ,R467 ,17396.41,1.01,79605,2,10 +1509,R100 ,R117 ,18392.96,1.07,79962,7,10 +1510,R400 ,R461 ,11503.86,0.67,85690,3,10 +1511,R300 ,R333 ,18266.55,1.07,80047,4,10 +1512,R300 ,R367 ,18369.17,1.07,94925,4,10 +1513,R100 ,R168 ,12302.6,0.72,79288,4,10 +1514,R300 ,R321 ,11305.94,0.66,94433,6,10 +1515,R100 ,R117 ,17495.95,1.02,82714,7,10 +1516,R400 ,R468 ,10656.16,0.62,79472,1,10 +1517,R300 ,R321 ,13371.28,0.78,94433,6,10 +1518,R300 ,R365 ,17623.12,1.03,91271,4,10 +1519,R300 ,R324 ,16814.27,0.98,94293,4,10 +1520,R400 ,R447 ,13936.58,0.81,79488,1,10 +1521,R400 ,R438 ,13481.91,0.79,79709,2,10 +1522,R100 ,R111 ,12006.22,0.7,79527,5,10 +1523,R300 ,R327 ,14753.24,0.86,94693,6,10 +1524,R300 ,R380 ,18225.45,1.06,84745,9,10 +1525,R100 ,R179 ,17651.41,1.03,79686,8,10 +1526,R200 ,R218 ,15836.53,0.92,79652,9,10 +1527,R200 ,R246 ,13418.91,0.78,79960,9,10 +1528,R400 ,R459 ,12496,0.73,79482,1,10 +1529,R300 ,R350 ,13856.34,0.81,79914,4,10 +1530,R100 ,R138 ,14005.68,0.82,78964,5,10 +1531,R300 ,R306 ,12549.21,0.73,85562,6,10 +1532,R400 ,R468 ,14153.75,0.83,79596,1,10 +1533,R400 ,R441 ,13093.09,0.76,79856,3,10 +1534,R100 ,R172 ,14811.02,0.86,81127,5,10 +1535,R300 ,R303 ,11991.54,0.7,79278,6,10 +1536,R300 ,R306 ,13411.79,0.78,94415,6,10 +1537,R100 ,R107 ,13158.31,0.77,79801,7,10 +1538,R100 ,R123 ,13557.97,0.79,79756,7,10 +1539,R100 ,R117 ,17090.09,1,79948,5,10 +1540,R100 ,R161 ,20973.79,1.22,78853,8,10 +1541,R400 ,R411 ,12628.49,0.74,80594,3,10 +1542,R300 ,R341 ,11343.29,0.66,78324,6,10 +1543,R100 ,R144 ,11447.45,0.67,79848,7,10 +1544,R400 ,R459 ,18982.28,1.11,86453,1,10 +1545,R100 ,R172 ,13674.89,0.8,80832,5,10 +1546,R300 ,R336 ,13927.83,0.81,81677,4,10 +1547,R200 ,R240 ,16454.87,0.96,79638,9,10 +1548,R200 ,R232 ,14052.03,0.82,80193,9,10 +1750,R100 ,R178 ,16773.24,0.98,86701,8,10 +1751,R100 ,R178 ,25765.46,1.5,96518,8,10 +1752,R100 ,R178 ,23523.94,1.37,90711,8,10 +1753,R100 ,R178 ,17863.16,1.04,86804,8,10 +1754,R100 ,R178 ,30769.6,1.79,95329,8,10 +1755,R100 ,R178 ,19087.56,1.11,93951,8,10 +1756,R100 ,R144 ,22257.67,1.3,94759,7,10 +1757,R100 ,R144 ,18282.25,1.07,99554,7,10 +1759,R100 ,R144 ,14250.34,0.83,105819,7,10 +1760,R300 ,R365 ,22732.47,1.33,95022,4,10 +1761,R300 ,R334 ,15610.46,0.91,114596,4,10 +1762,R100 ,R138 ,17159.27,1,115418,5,10 +1763,R300 ,R326 ,13275.82,0.77,114551,6,10 +1764,R300 ,R326 ,17831.69,1.04,95616,6,10 +1765,R300 ,R342 ,15134.86,0.88,95689,6,10 +1766,R300 ,R321 ,10585.66,0.62,97674,6,10 +1767,R100 ,R105 ,19927.12,1.16,114575,7,10 +1768,R100 ,R127 ,21937.37,1.28,94945,7,10 +1769,R100 ,R176 ,19421.32,1.13,95171,8,10 +1770,R300 ,R342 ,14799.48,0.86,96337,6,10 +1771,R100 ,R127 ,15920.12,0.93,90966,7,10 +1772,R300 ,R340 ,19001.11,1.11,93637,4,10 +1773,R300 ,R340 ,15456.68,0.9,93900,4,10 +1774,R100 ,R111 ,18948.96,1.11,91645,5,10 +1775,R300 ,R326 ,12125.78,0.71,94203,6,10 +1776,R100 ,R179 ,24149.73,1.41,104154,8,10 +1777,R100 ,R107 ,20862.76,1.22,106299,7,10 +1780,R300 ,R334 ,14634.57,0.85,105923,4,10 +1782,R100 ,R129 ,17875.93,1.04,94771,6,10 +1783,R100 ,R143 ,28589.57,1.67,96198,8,10 +1784,R300 ,R352 ,17720.69,1.03,99779,6,10 +1785,R300 ,R327 ,12582.66,0.73,106014,6,10 +1786,R300 ,R311 ,17185.12,1,106365,6,10 +1787,R300 ,R340 ,23508.66,1.37,95013,4,10 +1788,R100 ,R140 ,15308.04,0.89,94299,5,10 +1789,R100 ,R140 ,15136.51,0.88,94300,5,10 +1790,R300 ,R365 ,12762.2,0.74,95242,4,10 +1791,R100 ,R105 ,22070.27,1.29,94718,7,10 +1792,R100 ,R127 ,15316.64,0.89,93817,7,10 +1793,R300 ,R355 ,17968.3,1.05,79483,4,10 +1794,R300 ,R372 ,12133.4,0.71,83246,4,10 +1795,R300 ,R313 ,15159.33,0.88,94246,4,10 +1796,R400 ,R438 ,14209.43,0.83,81114,2,10 +1797,R300 ,R341 ,11456.25,0.67,94441,6,10 +1798,R400 ,R459 ,19742.26,1.15,83870,2,10 +1799,R100 ,R150 ,14874.78,0.87,81010,5,10 +1800,R100 ,R143 ,20985.04,1.22,84973,7,10 +1801,R100 ,R150 ,20024.08,1.17,94203,5,10 +1802,R400 ,R439 ,12412.8,0.72,81304,1,10 +1803,R400 ,R452 ,9338.3,0.54,60555,1,10 +1804,R100 ,R170 ,17151.46,1,85860,5,10 +1805,R200 ,R250 ,18451.28,1.08,84906,9,10 +1806,R100 ,R175 ,41996.76,2.45,100176,8,10 +1807,R300 ,R362 ,13394.1,0.78,79707,4,10 +1808,R400 ,R451 ,20509.07,1.2,77582,2,10 +1809,R400 ,R462 ,13882.08,0.81,84651,3,10 +1811,R300 ,R302 ,11217.03,0.65,79484,6,10 +1812,R300 ,R322 ,12568.03,0.73,79062,6,10 +1813,R100 ,R176 ,14444.1,0.84,80168,8,10 +1814,R100 ,R178 ,20852.4,1.22,79720,8,10 +1815,R200 ,R201 ,14787.12,0.86,79263,9,10 +1816,R200 ,R201 ,12240.58,0.71,79941,9,10 +1818,R400 ,R424 ,10957.5,0.64,79808,2,10 +1819,R200 ,R247 ,16986.94,0.99,84587,9,10 +1820,R300 ,R314 ,20989.38,1.22,94933,4,10 +1821,R100 ,R144 ,16587.3,0.97,80224,7,10 +1822,R400 ,R446 ,19931.96,1.16,82510,2,10 +1823,R400 ,R450 ,14976.72,0.87,79982,2,10 +1824,R300 ,R371 ,12920.74,0.75,80565,4,10 +1825,R300 ,R340 ,13347.57,0.78,79593,4,10 +1826,R300 ,R372 ,15716.27,0.92,94925,4,10 +1827,R400 ,R441 ,13591.57,0.79,84993,3,10 +1828,R400 ,R454 ,12540.36,0.73,79270,3,10 +1829,R300 ,R350 ,13630.58,0.8,80245,4,10 +1830,R400 ,R438 ,12367.52,0.72,80374,2,10 +1831,R100 ,R124 ,21141.71,1.23,95562,5,10 +1832,R100 ,R124 ,23621.85,1.38,96302,5,10 +1833,R100 ,R101 ,19920.1,1.16,95199,5,10 +1834,R200 ,R206 ,18203.97,1.06,79823,9,10 +1835,R400 ,R468 ,16198.49,0.94,79307,1,10 +1836,R300 ,R306 ,13824.79,0.81,94702,6,10 +1837,R300 ,R303 ,22022.48,1.28,94604,6,10 +1838,R300 ,R379 ,15196.1,0.89,84238,9,10 +1839,R400 ,R439 ,17488.48,1.02,77649,1,10 +1840,R100 ,R123 ,14105.68,0.82,94868,7,10 +1841,R100 ,R170 ,14982.58,0.87,80132,5,10 +1842,R100 ,R144 ,13679.32,0.8,80824,7,10 +1843,R200 ,R232 ,13696.45,0.8,80081,9,10 +1845,R400 ,R461 ,14200.1,0.83,79798,3,10 +1846,R200 ,R201 ,15056.43,0.88,79264,9,10 +1847,R200 ,R260 ,15996.21,0.93,79961,10,10 +1848,R100 ,R138 ,14031.96,0.82,79899,5,10 +1849,R400 ,R423 ,27990.17,1.63,83772,2,10 +1850,R300 ,R326 ,11244.58,0.66,79175,6,10 +1851,R200 ,R245 ,10151.56,0.59,79793,9,10 +1852,R300 ,R327 ,9960.07,0.58,68749,6,10 +1853,R300 ,R315 ,14860.54,0.87,94787,4,10 +1854,R400 ,R448 ,19617.32,1.14,84253,3,10 +1855,R400 ,R447 ,13971.34,0.81,79714,1,10 +1856,R400 ,R451 ,14806.54,0.86,77462,2,10 +1857,R400 ,R466 ,12368.36,0.72,79735,3,10 +1858,R400 ,R457 ,17193.94,1,84751,3,10 +1859,R300 ,R314 ,15253.33,0.89,79869,4,10 +1860,R300 ,R301 ,13214.67,0.77,72279,6,10 +1861,R300 ,R302 ,9311.67,0.54,79778,6,10 +1862,R200 ,R246 ,11821.07,0.69,79669,9,10 +1863,R300 ,R376 ,13649.29,0.8,85204,9,10 +1864,R400 ,R461 ,17747.76,1.04,85456,2,10 +1865,R400 ,R446 ,11907.42,0.69,77515,2,10 +1866,R400 ,R424 ,10758.13,0.63,79831,2,10 +1867,R200 ,R205 ,31419.28,1.83,79816,9,10 +1868,R200 ,R258 ,14414.18,0.84,79799,10,10 +1869,R200 ,R248 ,45817.24,2.67,80760,9,10 +1870,R300 ,R337 ,18913.16,1.1,79925,4,10 +1871,R400 ,R411 ,12212.86,0.71,85340,3,10 +1872,R300 ,R372 ,19657.74,1.15,94874,4,10 +1873,R400 ,R466 ,15246.9,0.89,94627,3,10 +1874,R400 ,R441 ,24903.13,1.45,94237,3,10 +1875,R400 ,R431 ,16289.11,0.95,79478,3,10 +1876,R300 ,R331 ,13350.36,0.78,80856,6,10 +1877,R300 ,R303 ,11647.39,0.68,80199,6,10 +1878,R100 ,R140 ,16216.42,0.95,80705,5,10 +1879,R100 ,R145 ,15869.97,0.93,79855,5,10 +1880,R100 ,R128 ,12781.86,0.75,67129,5,10 +1881,R100 ,R121 ,15113.88,0.88,80071,5,10 +1882,R100 ,R121 ,19062.39,1.11,79353,5,10 +1883,R200 ,R258 ,14822.47,0.86,80070,10,10 +1884,R200 ,R204 ,26238.15,1.53,78984,9,10 +1885,R400 ,R455 ,19118.93,1.12,82904,2,10 +1886,R400 ,R446 ,31838.76,1.86,86008,2,10 +1887,R400 ,R459 ,12041.74,0.7,81088,2,10 +1888,R100 ,R141 ,19317.01,1.13,82762,5,10 +1889,R100 ,R116 ,19939.43,1.16,82383,5,10 +1890,R400 ,R412 ,17656.4,1.03,80944,3,10 +1891,R100 ,R167 ,12439.11,0.73,79208,6,10 +1892,R300 ,R372 ,25971.98,1.51,82176,4,10 +1893,R400 ,R412 ,20082.28,1.17,87646,3,10 +1894,R300 ,R364 ,12266.28,0.72,79414,6,10 +1895,R100 ,R110 ,16457.66,0.96,80015,5,10 +1896,R100 ,R122 ,20302.75,1.18,96907,5,10 +1897,R400 ,R412 ,15691.74,0.92,79834,3,10 +1898,R400 ,R429 ,20319.46,1.19,88165,1,10 +1901,R100 ,R105 ,21258.65,1.24,96988,7,10 +1902,R100 ,R133 ,13075.84,0.76,80221,5,10 +1903,R100 ,R115 ,19720.66,1.15,96988,5,10 +1904,R300 ,R364 ,11880.47,0.69,79922,6,10 +1905,R300 ,R379 ,13713.69,0.8,79842,9,10 +1906,R200 ,R250 ,12129.36,0.71,79837,9,10 +1907,R300 ,R332 ,11750.72,0.69,79740,4,10 +1908,R300 ,R364 ,21818.37,1.27,96878,6,10 +1910,R300 ,R350 ,13878.69,0.81,79101,4,10 +1911,R100 ,R140 ,15783.9,0.92,79857,5,10 +1912,R100 ,R112 ,18813.41,1.1,96663,5,10 +1913,R100 ,R133 ,16319.96,0.95,79888,5,10 +1914,R100 ,R118 ,11945.36,0.7,79962,7,10 +1915,R400 ,R438 ,14269.23,0.83,80280,2,10 +1916,R400 ,R460 ,11931.3,0.7,89345,1,10 +1917,R400 ,R422 ,21152.09,1.23,85221,2,10 +1918,R300 ,R365 ,20249.03,1.18,97938,4,10 +1919,R100 ,R167 ,13211.57,0.77,79993,6,10 +1920,R300 ,R331 ,19359.99,1.13,79428,4,10 +1921,R300 ,R315 ,13109.37,0.76,97974,4,10 +1922,R300 ,R342 ,10731.77,0.63,79641,6,10 +1923,R300 ,R337 ,20608.75,1.2,79484,4,10 +1924,R100 ,R141 ,18602.58,1.09,81866,5,10 +1925,R100 ,R150 ,14823.37,0.86,79914,5,10 +1926,R200 ,R211 ,16035.38,0.94,87307,9,10 +1927,R200 ,R233 ,18089.89,1.06,87498,9,10 +1928,R100 ,R175 ,18484,1.08,96664,8,10 +1929,R400 ,R419 ,13479.94,0.79,84656,2,10 +1930,R400 ,R470 ,19137.52,1.12,84530,1,10 +1931,R400 ,R417 ,13417.49,0.78,79855,3,10 +1932,R300 ,R372 ,17498.3,1.02,96635,4,10 +1933,R100 ,R133 ,15007.42,0.88,79753,5,10 +1934,R300 ,R360 ,15013.3,0.88,96416,4,10 +1935,R300 ,R310 ,17898.13,1.04,96890,4,10 +1936,R200 ,R222 ,21679.63,1.26,78857,9,10 +1937,R300 ,R337 ,13952.96,0.81,79869,4,10 +1938,R400 ,R415 ,10906.67,0.64,79407,3,10 +1939,R100 ,R105 ,12791.38,0.75,79737,7,10 +1940,R100 ,R173 ,12149.04,0.71,80004,5,10 +1941,R300 ,R310 ,17674.22,1.03,79343,4,10 +1942,R400 ,R452 ,11022.64,0.64,79859,1,10 +1943,R100 ,R129 ,13999,0.82,79891,7,10 +1944,R100 ,R129 ,22245.22,1.3,96663,7,10 +1945,R100 ,R129 ,15443.5,0.9,96892,7,10 +1946,R100 ,R172 ,13466.53,0.79,79837,5,10 +1947,R200 ,R259 ,13569.47,0.79,80057,10,10 +1948,R400 ,R424 ,14464.63,0.84,84468,2,10 +1949,R400 ,R454 ,15832.45,0.92,80170,3,10 +1950,R100 ,R122 ,15450.59,0.9,103127,5,10 +1951,R100 ,R147 ,14901.96,0.87,79811,5,10 +1952,R100 ,R118 ,17005.88,0.99,82313,7,10 +1953,R300 ,R341 ,10380.56,0.61,79516,6,10 +1954,R400 ,R459 ,12301.22,0.72,72326,2,10 +1955,R400 ,R460 ,10912.26,0.64,79797,1,10 +1956,R400 ,R460 ,13294.29,0.78,81816,1,10 +1957,R200 ,R259 ,14672.85,0.86,80130,10,10 +1958,R200 ,R248 ,16870.99,0.98,79947,9,10 +1959,R300 ,R374 ,17293.8,1.01,94245,9,10 +1960,R300 ,R379 ,22912.25,1.34,94275,9,10 +1961,R200 ,R232 ,18783.31,1.1,79962,9,10 +1962,R300 ,R306 ,8816.03,0.51,79780,6,10 +1963,R300 ,R369 ,12178.13,0.71,79891,4,10 +1964,R300 ,R336 ,18641.11,1.09,81507,4,10 +1965,R400 ,R468 ,16174.39,0.94,79939,1,10 +1966,R300 ,R313 ,15802.73,0.92,103129,4,10 +1967,R300 ,R314 ,14475.79,0.84,79983,4,10 +1968,R400 ,R417 ,14314.36,0.83,80046,3,10 +1969,R100 ,R173 ,15678.41,0.91,80005,5,10 +1970,R400 ,R411 ,12912.32,0.75,80040,3,10 +1971,R100 ,R137 ,11438.97,0.67,80160,5,10 +1972,R100 ,R169 ,12317.64,0.72,79571,5,10 +1973,R300 ,R348 ,12927.16,0.75,79813,4,10 +1974,R300 ,R315 ,12648.88,0.74,79979,4,10 +1975,R300 ,R311 ,16395.99,0.96,79191,6,10 +1976,R100 ,R177 ,17236.3,1.01,103121,8,10 +1977,R100 ,R123 ,12964.93,0.76,80167,7,10 +1978,R100 ,R173 ,16261.24,0.95,79886,5,10 +1979,R300 ,R327 ,10674.13,0.62,79771,6,10 +1980,R200 ,R239 ,21183.4,1.24,85248,9,10 +1981,R300 ,R342 ,8779.61,0.51,79952,6,10 +1982,R300 ,R341 ,11215.11,0.65,79818,6,10 +1983,R300 ,R369 ,17104.06,1,79918,4,10 +1984,R200 ,R237 ,11877.35,0.69,79974,9,10 +2006,R400 ,R419 ,20153.3,1.18,84532,2,10 +2007,R400 ,R412 ,10893.06,0.64,80028,3,10 +2008,R300 ,R342 ,7908.83,0.46,79922,6,10 +2009,R400 ,R447 ,13109.58,0.76,79743,1,10 +2010,R100 ,R107 ,11830.41,0.69,82264,7,10 +2011,R300 ,R362 ,12315.06,0.72,79954,4,10 +2014,R100 ,R136 ,18046.87,1.05,84554,5,10 +2015,R100 ,R136 ,11773.91,0.69,79827,5,10 +2016,R100 ,R174 ,14287.05,0.83,79738,5,10 +2017,R400 ,R466 ,11668.63,0.68,79714,3,10 +2018,R200 ,R213 ,18777.98,1.1,84121,9,10 +2019,R200 ,R217 ,14515.48,0.85,84567,9,10 +2020,R200 ,R209 ,15833.8,0.92,80485,9,10 +2021,R100 ,R179 ,16619.28,0.97,96887,8,10 +2022,R300 ,R367 ,22285.2,1.3,96822,4,10 +2023,R100 ,R177 ,18884.33,1.1,96607,8,10 +2024,R400 ,R451 ,14800.4,0.86,80050,2,10 +2025,R100 ,R124 ,15418.57,0.9,84509,5,10 +2026,R200 ,R207 ,16593.37,0.97,84476,9,10 +2027,R300 ,R337 ,13010.79,0.76,80042,4,10 +2028,R100 ,R145 ,13746.54,0.8,79786,5,10 +2029,R100 ,R179 ,15920.81,0.93,80039,8,10 +2030,R200 ,R219 ,21262.98,1.24,82356,9,10 +2031,R300 ,R378 ,14390.38,0.84,79793,6,10 +2032,R300 ,R365 ,13460.31,0.79,79763,4,10 +2033,R100 ,R148 ,14546.27,0.85,79707,5,10 +2034,R300 ,R354 ,21253.59,1.24,96696,4,10 +2035,R100 ,R145 ,15469.15,0.9,96887,5,10 +2036,R300 ,R335 ,22126.21,1.29,96990,4,10 +2037,R300 ,R358 ,11518.8,0.67,79906,4,10 +2038,R400 ,R467 ,14318.05,0.84,79753,2,10 +2040,R300 ,R354 ,17063.27,1,79439,4,10 +2041,R100 ,R105 ,12355.08,0.72,83548,7,10 +2042,R300 ,R342 ,16031.24,0.94,96935,6,10 +2043,R100 ,R144 ,12732.6,0.74,79972,7,10 +2044,R100 ,R171 ,11796.18,0.69,80039,5,10 +2045,R400 ,R460 ,13842.5,0.81,78700,1,10 +2046,R100 ,R102 ,15801.65,0.92,97524,5,10 +2048,R100 ,R133 ,15655.3,0.91,80039,5,10 +2051,R200 ,R202 ,16135.06,0.94,82512,9,10 +2052,R100 ,R175 ,17685.1,1.03,96997,8,10 +2053,R300 ,R333 ,13709.08,0.8,80059,4,10 +2055,R300 ,R331 ,13899.73,0.81,79476,4,10 +2056,R300 ,R335 ,16237.46,0.95,96931,4,10 +2057,R300 ,R351 ,21884.11,1.28,81995,4,10 +2058,R300 ,R324 ,14026.92,0.82,79530,4,10 +2059,R300 ,R320 ,15837.23,0.92,96931,4,10 +2061,R300 ,R301 ,11518.39,0.67,79617,6,10 +2062,R300 ,R324 ,15010.69,0.88,79725,4,10 +2063,R300 ,R320 ,22742.94,1.33,97807,4,10 +2064,R300 ,R354 ,12526.87,0.73,79854,4,10 +2065,R300 ,R310 ,14059.85,0.82,96712,4,10 +2066,R300 ,R364 ,13446.13,0.78,79811,6,10 +2067,R300 ,R310 ,14790.46,0.86,95402,4,10 +2068,R100 ,R168 ,12474.44,0.73,79974,5,10 +2069,R300 ,R372 ,19794.26,1.15,96935,4,10 +2070,R100 ,R169 ,18237.02,1.06,82352,5,10 +2071,R400 ,R457 ,13884.61,0.81,79833,3,10 +2072,R400 ,R453 ,15049.46,0.88,80252,3,10 +2073,R400 ,R470 ,12944.49,0.75,79637,1,10 +2074,R300 ,R355 ,10997.2,0.64,79476,4,10 +2075,R400 ,R462 ,16673.55,0.97,85512,3,10 +2076,R400 ,R451 ,11758,0.69,79795,2,10 +2077,R400 ,R430 ,12219.16,0.71,79634,3,10 +2078,R100 ,R116 ,18619.49,1.09,84892,5,10 +2079,R100 ,R141 ,20343.1,1.19,85510,5,10 +2080,R300 ,R362 ,12605.45,0.74,101681,4,10 +2081,R100 ,R121 ,17503.82,1.02,96676,5,10 +2082,R200 ,R244 ,14148.16,0.83,79830,9,10 +2083,R300 ,R375 ,14948.88,0.87,84188,9,10 +2084,R300 ,R369 ,11805.45,0.69,82776,4,10 +2085,R300 ,R348 ,13948.75,0.81,79817,4,10 +2086,R100 ,R169 ,13041.89,0.76,79795,5,10 +2087,R100 ,R145 ,22546.95,1.32,81928,5,10 +2088,R200 ,R233 ,18525.42,1.08,84224,9,10 +2089,R300 ,R353 ,14135.17,0.82,96672,6,10 +2090,R300 ,R355 ,13911.55,0.81,79848,4,10 +2091,R300 ,R334 ,15409.45,0.9,97477,4,10 +2092,R300 ,R318 ,19802.69,1.15,103290,4,10 +2093,R300 ,R364 ,24946.24,1.45,81803,6,10 +2095,R100 ,R129 ,14597.45,0.85,76959,6,10 +2096,R200 ,R218 ,13918.17,0.81,79279,9,10 +2098,R100 ,R167 ,11273.99,0.66,80161,7,10 +2099,R400 ,R431 ,13274.74,0.77,80095,3,10 +2100,R400 ,R430 ,11881.95,0.69,80161,3,10 +2101,R100 ,R126 ,25991.63,1.52,92390,5,10 +2102,R400 ,R424 ,11910.75,0.69,79940,2,10 +2103,R100 ,R118 ,13708.19,0.8,82487,7,10 +2104,R400 ,R422 ,14904.77,0.87,80190,2,10 +2105,R100 ,R135 ,13635.68,0.8,82171,5,10 +2106,R100 ,R146 ,21886.76,1.28,102399,5,10 +2108,R300 ,R358 ,13209.06,0.77,80355,4,10 +2109,R300 ,R349 ,13425.73,0.78,81724,4,10 +2110,R200 ,R260 ,15506.9,0.9,80371,10,10 +2111,R300 ,R371 ,12067.51,0.7,80126,4,10 +2112,R300 ,R305 ,11248.22,0.66,80161,6,10 +2113,R100 ,R134 ,16154.26,0.94,82041,5,10 +2114,R400 ,R454 ,12706.22,0.74,79999,3,10 +2115,R200 ,R208 ,12969.02,0.76,84158,9,10 +2118,R300 ,R314 ,17591.29,1.03,101926,4,10 +2119,R100 ,R171 ,13437.88,0.78,77429,5,10 +2120,R400 ,R447 ,13448.13,0.78,80226,1,10 +2121,R300 ,R334 ,15421.05,0.9,84352,4,10 +2122,R100 ,R122 ,16351.93,0.95,79868,5,10 +2123,R100 ,R178 ,18344.56,1.07,79905,8,10 +2124,R400 ,R421 ,24831.76,1.45,86198,3,10 +2125,R100 ,R107 ,16321.94,0.95,79771,7,10 +2126,R300 ,R333 ,14207.28,0.83,80194,4,10 +2127,R400 ,R439 ,14587.04,0.85,79317,1,10 +2128,R200 ,R202 ,18280.45,1.07,81453,9,10 +2129,R300 ,R336 ,13316.84,0.78,77316,4,10 +2130,R400 ,R447 ,16133.54,0.94,80237,1,10 +2131,R400 ,R421 ,16672.83,0.97,80356,3,10 +2132,R300 ,R355 ,13031.92,0.76,96653,4,10 +2133,R400 ,R415 ,13025,0.76,82355,3,10 +2134,R300 ,R358 ,18768.16,1.09,80517,4,10 +2135,R100 ,R126 ,11790.14,0.69,82548,5,10 +2136,R200 ,R259 ,12598.14,0.73,81907,10,10 +2137,R300 ,R336 ,29282.46,1.71,85373,4,10 +2138,R400 ,R466 ,15357.32,0.9,96757,3,10 +2139,R300 ,R311 ,11320.49,0.66,83197,6,10 +2140,R300 ,R376 ,18635.02,1.09,101204,9,10 +2141,R400 ,R419 ,17782.43,1.04,82185,2,10 +2142,R300 ,R326 ,14030.84,0.82,95921,6,10 +2143,R200 ,R209 ,18214.6,1.06,88818,9,10 +2144,R300 ,R364 ,12214.72,0.71,82363,6,10 +2145,R300 ,R321 ,15779.07,0.92,95958,6,10 +2146,R300 ,R318 ,19087.89,1.11,100315,4,10 +2147,R200 ,R217 ,15700.89,0.92,82594,9,10 +2149,R300 ,R375 ,13284.48,0.77,82217,9,10 +2150,R100 ,R178 ,14546.06,0.85,82403,8,10 +2151,R200 ,R202 ,18247.93,1.06,84705,9,10 +2152,R300 ,R305 ,12708.48,0.74,82672,6,10 +2153,R300 ,R340 ,11820.02,0.69,82680,4,10 +2154,R300 ,R359 ,13939.34,0.81,81971,4,10 +2155,R300 ,R315 ,11028.44,0.64,82218,4,10 +2156,R400 ,R460 ,15043.97,0.88,80276,1,10 +2157,R100 ,R170 ,11986.52,0.7,82655,5,10 +2158,R400 ,R467 ,12458.49,0.73,82241,2,10 +2159,R100 ,R174 ,9543.22,0.56,83075,5,10 +2161,R100 ,R170 ,15143.77,0.88,82722,5,10 +2163,R200 ,R261 ,17502.73,1.02,82555,9,10 +2164,R300 ,R380 ,13939.14,0.81,82340,9,10 +2165,R200 ,R261 ,18428.88,1.07,84447,9,10 +2166,R400 ,R447 ,12957.95,0.76,82709,1,10 +2167,R400 ,R428 ,13447.78,0.78,82544,1,10 +2168,R300 ,R371 ,11369.85,0.66,82675,4,10 +2169,R300 ,R362 ,20325.35,1.19,95961,4,10 +2170,R400 ,R422 ,12172.56,0.71,82272,2,10 +2171,R300 ,R335 ,15182.74,0.89,82583,4,10 +2172,R400 ,R453 ,14327.61,0.84,83077,3,10 +2173,R400 ,R470 ,12794.02,0.75,82181,1,10 +2174,R300 ,R346 ,12391.72,0.72,82601,4,10 +2175,R400 ,R466 ,10997.7,0.64,82857,3,10 +2176,R300 ,R379 ,25009.47,1.46,83900,9,10 +2177,R100 ,R115 ,13191.28,0.77,82115,5,10 +2178,R100 ,R135 ,21199.34,1.24,80171,5,10 +2179,R200 ,R217 ,11191.94,0.65,82666,9,10 +2180,R100 ,R114 ,19791.33,1.15,98251,5,10 +2181,R400 ,R422 ,12618.57,0.74,84927,2,10 +2182,R400 ,R447 ,12903.72,0.75,82275,1,10 +2183,R100 ,R175 ,14774.68,0.86,95872,8,10 +2184,R400 ,R454 ,14525.17,0.85,82530,3,10 +2185,R200 ,R211 ,14338.59,0.84,84052,9,10 +2186,R400 ,R431 ,13942.39,0.81,82838,3,10 +2187,R300 ,R327 ,10701.3,0.62,81841,6,10 +2188,R300 ,R349 ,21189.37,1.24,82204,4,10 +2189,R100 ,R101 ,24105.11,1.41,98135,5,10 +2190,R300 ,R352 ,12424.24,0.72,81751,6,10 +2191,R400 ,R416 ,9003.96,0.53,81839,2,10 +2192,R200 ,R264 ,13160.13,0.77,82140,10,10 +2193,R100 ,R131 ,21700.84,1.27,104591,5,10 +2194,R100 ,R143 ,21255.94,1.24,83071,8,10 +2195,R200 ,R232 ,81115.94,4.73,81631,9,10 +2196,R300 ,R367 ,11416.52,0.67,83971,4,10 +2197,R100 ,R175 ,20485.02,1.19,95794,8,10 +2199,R100 ,R110 ,15465.15,0.9,82252,5,10 +2200,R100 ,R126 ,17905.31,1.04,98368,5,10 +2201,R400 ,R430 ,15054.4,0.88,82198,3,10 +2202,R400 ,R431 ,19492.92,1.14,84493,3,10 +2203,R300 ,R370 ,12279.02,0.72,82433,3,10 +2204,R100 ,R167 ,13945.06,0.81,82000,6,10 +2205,R300 ,R311 ,11948.89,0.7,82517,6,10 +2206,R100 ,R161 ,17124.9,1,82683,10,10 +2207,R100 ,R135 ,13115.65,0.76,82368,5,10 +2208,R300 ,R348 ,15921.09,0.93,82277,4,10 +2210,R300 ,R310 ,20953.26,1.22,98033,4,10 +2211,R400 ,R416 ,11981.49,0.7,82314,2,10 +2212,R400 ,R423 ,24660.11,1.44,91947,2,10 +2213,R400 ,R439 ,12549.89,0.73,82258,1,10 +2214,R200 ,R208 ,14361.37,0.84,83147,9,10 +2216,R300 ,R374 ,19632.56,1.15,95591,6,10 +2217,R100 ,R133 ,15569.67,0.91,82555,5,10 +2218,R100 ,R176 ,19129.39,1.12,95853,8,10 +2219,R100 ,R177 ,20773.99,1.21,95921,8,10 +2220,R300 ,R301 ,19264.01,1.12,95883,6,10 +2221,R100 ,R177 ,19171.12,1.12,98530,8,10 +2222,R100 ,R123 ,15223.32,0.89,82572,7,10 +2223,R100 ,R131 ,12062.63,0.7,82769,5,10 +2224,R300 ,R305 ,12026.39,0.7,82008,6,10 +2225,R100 ,R179 ,15380.23,0.9,82815,8,10 +2226,R100 ,R174 ,13300.03,0.78,79568,5,10 +2227,R300 ,R375 ,18671.34,1.09,97381,9,10 +2228,R100 ,R174 ,12586.78,0.73,79749,5,10 +2229,R100 ,R102 ,28290.13,1.65,104399,5,10 +2230,R100 ,R137 ,20244.76,1.18,82346,5,10 +2231,R400 ,R454 ,12315.13,0.72,82023,3,10 +2232,R200 ,R201 ,16960.15,0.99,84026,9,10 +2233,R300 ,R315 ,14477.09,0.84,97840,4,10 +2234,R300 ,R302 ,10622.44,0.62,102469,6,10 +2235,R300 ,R354 ,19945.87,1.16,102327,4,10 +2236,R300 ,R377 ,17565.23,1.02,98398,9,10 +2237,R300 ,R305 ,14789.51,0.86,81809,6,10 +2238,R200 ,R237 ,17540.29,1.02,81739,9,10 +2239,R300 ,R327 ,16317.28,0.95,102368,6,10 +2240,R300 ,R369 ,12964.15,0.76,82422,4,10 +2241,R400 ,R431 ,14083.83,0.82,82689,3,10 +2243,R300 ,R306 ,13982.8,0.82,98028,6,10 +2244,R300 ,R355 ,15384.29,0.9,84647,4,10 +2245,R200 ,R206 ,18086.36,1.05,82114,9,10 +2246,R400 ,R461 ,13631.19,0.8,82987,3,10 +2247,R400 ,R451 ,14377,0.84,81651,2,10 +2248,R300 ,R360 ,12583.95,0.73,82718,4,10 +2249,R400 ,R460 ,13104.62,0.76,82302,1,10 +2250,R400 ,R457 ,12185.7,0.71,82698,3,10 +2251,R100 ,R150 ,15613.2,0.91,82608,5,10 +2252,R200 ,R245 ,12439.23,0.73,82391,9,10 +2253,R400 ,R467 ,13349.91,0.78,82792,2,10 +2254,R100 ,R134 ,13982.43,0.82,79882,5,10 +2255,R100 ,R118 ,12695.01,0.74,82319,7,10 +2256,R400 ,R450 ,11696.3,0.68,81964,2,10 +2258,R400 ,R429 ,13082.13,0.76,85561,1,10 +2259,R400 ,R412 ,23898.41,1.39,87461,3,10 +2260,R200 ,R248 ,16211.26,0.95,98284,9,10 +2261,R100 ,R179 ,21320.48,1.24,96619,8,10 +2262,R400 ,R430 ,11808.71,0.69,82719,3,10 +2264,R300 ,R324 ,27120.06,1.58,102684,4,10 +2265,R300 ,R318 ,11890.78,0.69,82459,4,10 +2266,R100 ,R174 ,18072.21,1.05,82387,5,10 +2267,R400 ,R470 ,13125.4,0.77,82677,1,10 +2268,R200 ,R246 ,12944.3,0.75,82302,9,10 +2269,R300 ,R360 ,12743.29,0.74,82054,4,10 +2270,R200 ,R220 ,17684.44,1.03,82589,9,10 +2271,R400 ,R415 ,20206.73,1.18,84460,3,10 +2272,R400 ,R441 ,15535.61,0.91,82290,3,10 +2273,R300 ,R353 ,12140.39,0.71,82402,6,10 +2274,R300 ,R340 ,12462.88,0.73,82754,4,10 +2275,R200 ,R207 ,15040.35,0.88,82932,9,10 +2276,R300 ,R340 ,13076.17,0.76,82715,4,10 +2277,R300 ,R337 ,15381.21,0.9,79507,4,10 +2278,R300 ,R306 ,8577.29,0.5,82776,6,10 +2279,R300 ,R359 ,11524.71,0.67,82048,4,10 +2280,R200 ,R239 ,18666.58,1.09,82375,9,10 +2281,R200 ,R233 ,16828.93,0.98,82439,9,10 +2283,R300 ,R302 ,10424.27,0.61,81779,6,10 +2284,R100 ,R167 ,9327.15,0.54,82310,6,10 +2287,R400 ,R452 ,14367.85,0.84,82476,1,10 +2288,R300 ,R322 ,11427.84,0.67,98196,6,10 +2289,R300 ,R314 ,13654.12,0.8,102718,4,10 +2290,R200 ,R265 ,17523.14,1.02,82140,10,10 +2292,R400 ,R428 ,13748.51,0.8,82304,1,10 +2294,R400 ,R457 ,13577.8,0.79,82848,3,10 +2295,R400 ,R467 ,11937.38,0.7,82713,2,10 +2296,R300 ,R370 ,11253.68,0.66,82845,3,10 +2297,R400 ,R457 ,13328.51,0.78,82301,3,10 +2300,R100 ,R163 ,23676.61,1.38,102560,5,10 +2301,R300 ,R315 ,12067.75,0.7,79580,4,10 +2302,R400 ,R431 ,12003.96,0.7,82325,3,10 +2303,R100 ,R107 ,21916.35,1.28,102791,7,10 +2304,R200 ,R202 ,16984.39,0.99,92431,9,10 +2305,R400 ,R460 ,13259.1,0.77,83617,1,10 +2306,R200 ,R245 ,12004.62,0.7,81802,9,10 +2307,R200 ,R236 ,21543.6,1.26,87697,9,10 +2308,R300 ,R351 ,11655,0.68,82714,3,10 +2309,R200 ,R232 ,14751.69,0.86,102578,9,10 +2310,R400 ,R415 ,16000.5,0.93,81887,3,10 +2312,R400 ,R453 ,23583.75,1.38,92086,3,10 +2313,R100 ,R163 ,31423.53,1.83,104449,5,10 +2314,R200 ,R265 ,15517.41,0.91,82921,10,10 +2315,R400 ,R447 ,21727.61,1.27,82276,1,10 +2316,R300 ,R320 ,15477.38,0.9,97942,4,10 +2317,R300 ,R320 ,19986.85,1.17,103536,4,10 +2319,R200 ,R207 ,19689.77,1.15,82769,9,10 +2320,R300 ,R303 ,15413.78,0.9,103649,6,10 +2321,R100 ,R111 ,16703.16,0.97,103492,5,10 +2322,R100 ,R170 ,18035.07,1.05,82761,5,10 +2323,R400 ,R466 ,13828.03,0.81,104043,3,10 +2324,R400 ,R467 ,16118.75,0.94,82227,2,10 +2325,R400 ,R452 ,11186.67,0.65,82428,1,10 +2326,R100 ,R107 ,18733.23,1.09,103451,7,10 +2327,R100 ,R136 ,13390.27,0.78,82875,5,10 +2328,R200 ,R207 ,16998.92,0.99,83584,9,10 +2329,R200 ,R219 ,20467.54,1.19,84992,9,10 +2330,R100 ,R117 ,13410.92,0.78,82072,5,10 +2331,R300 ,R350 ,17189.98,1,82050,4,10 +2332,R300 ,R351 ,12842.81,0.75,82366,4,10 +2333,R300 ,R335 ,15113.19,0.88,79522,4,10 +2334,R300 ,R306 ,9482,0.55,82479,6,10 +2335,R300 ,R302 ,14171.57,0.83,101330,6,10 +2337,R400 ,R417 ,11256.92,0.66,82257,3,10 +2338,R300 ,R326 ,19559.39,1.14,101316,6,10 +2339,R200 ,R262 ,30081,1.75,88269,10,10 +2340,R100 ,R163 ,18175.89,1.06,103620,5,10 +2341,R300 ,R375 ,13774.94,0.8,82599,9,10 +2342,R300 ,R341 ,14026.97,0.82,102964,6,10 +2343,R100 ,R179 ,13508.68,0.79,82251,8,10 +2345,R100 ,R118 ,14386.95,0.84,82330,7,10 +2346,R100 ,R171 ,14719.41,0.86,82289,5,10 +2347,R200 ,R218 ,11198.63,0.65,82277,9,10 +2348,R100 ,R150 ,13182.36,0.77,82360,5,10 +2349,R200 ,R250 ,17487.19,1.02,103132,9,10 +2350,R200 ,R219 ,17382.19,1.01,97725,9,10 +2351,R100 ,R174 ,13315.86,0.78,79494,5,10 +2354,R300 ,R375 ,15840.96,0.92,103776,9,10 +2355,R300 ,R340 ,10969.41,0.64,82363,4,10 +2356,R300 ,R304 ,13665.86,0.8,82201,6,10 +2357,R100 ,R129 ,21272.94,1.24,82116,6,10 +2358,R100 ,R173 ,12503.48,0.73,82246,5,10 +2359,R200 ,R213 ,13391.61,0.78,82322,9,10 +2360,R300 ,R333 ,18988.72,1.11,103204,4,10 +2361,R400 ,R460 ,17916.09,1.04,92397,1,10 +2362,R300 ,R369 ,13196.91,0.77,103637,4,10 +2363,R300 ,R320 ,15580.11,0.91,103715,4,10 +2364,R300 ,R313 ,16405.13,0.96,111024,4,10 +2365,R300 ,R374 ,18410.06,1.07,103609,9,10 +2366,R300 ,R314 ,13287.57,0.78,82209,4,10 +2367,R300 ,R333 ,13534.64,0.79,82289,4,10 +2368,R300 ,R380 ,11108.29,0.65,82270,9,10 +2369,R300 ,R320 ,11140.3,0.65,82334,4,10 +2370,R300 ,R365 ,20821.61,1.21,100164,4,10 +2371,R200 ,R262 ,29785.77,1.74,88020,10,10 +2372,R200 ,R262 ,36310.74,2.12,87847,10,10 +2373,R100 ,R141 ,23314.18,1.36,88792,5,10 +2374,R300 ,R306 ,11208.65,0.65,82292,6,10 +2375,R300 ,R340 ,11086.8,0.65,82382,4,10 +2376,R300 ,R365 ,13742.95,0.8,101479,4,10 +2377,R300 ,R353 ,11964.7,0.7,82341,6,10 +2378,R100 ,R115 ,18158.26,1.06,102945,5,10 +2379,R400 ,R457 ,13095.58,0.76,82376,3,10 +2380,R400 ,R469 ,15786.46,0.92,83341,2,10 +2381,R400 ,R446 ,20390.42,1.19,82841,2,10 +2382,R400 ,R416 ,10784.53,0.63,82487,2,10 +2383,R100 ,R107 ,19469.75,1.14,103679,7,10 +2384,R400 ,R422 ,17722.2,1.03,82585,2,10 +2385,R400 ,R430 ,14009.86,0.82,81934,3,10 +2386,R200 ,R218 ,12348.87,0.72,101445,9,10 +2387,R300 ,R335 ,12542.55,0.73,82295,4,10 +2388,R100 ,R150 ,15505.85,0.9,82046,5,10 +2389,R300 ,R304 ,20579.06,1.2,103125,6,10 +2390,R100 ,R163 ,23943.77,1.4,105381,5,10 +2391,R100 ,R138 ,13943.97,0.81,82922,5,10 +2392,R400 ,R450 ,15908.74,0.93,82089,2,10 +2394,R400 ,R415 ,13287.04,0.77,82259,3,10 +2395,R300 ,R355 ,14161.52,0.83,82534,4,10 +2396,R300 ,R370 ,11884.73,0.69,82555,3,10 +2397,R200 ,R244 ,15628.89,0.91,83338,9,10 +2398,R200 ,R240 ,17118.96,1,88129,9,10 +2399,R400 ,R461 ,14808.26,0.86,82540,3,10 +2400,R300 ,R375 ,15323.16,0.89,102712,9,10 +2403,R100 ,R176 ,25435.33,1.48,102986,8,10 +2404,R300 ,R380 ,15046.5,0.88,79480,9,10 +2406,R100 ,R102 ,23477.23,1.37,97351,5,10 +2407,R300 ,R358 ,10225.27,0.6,82339,3,10 +2408,R200 ,R208 ,14322.74,0.84,82396,9,10 +2409,R300 ,R341 ,14274.87,0.83,82387,6,10 +2410,R200 ,R257 ,61584.24,3.59,89082,9,10 +2411,R200 ,R257 ,50207.23,2.93,86764,9,10 +2412,R200 ,R257 ,48383.53,2.82,86717,9,10 +2414,R100 ,R117 ,13409.28,0.78,82272,5,10 +2415,R100 ,R148 ,13091.96,0.76,79563,5,10 +2418,R400 ,R462 ,16515.58,0.96,82365,3,10 +2419,R300 ,R311 ,16511.15,0.96,103695,6,10 +2420,R200 ,R250 ,13985.84,0.82,82255,9,10 +2421,R200 ,R244 ,15128.36,0.88,82941,9,10 +2422,R100 ,R129 ,13669.47,0.8,82291,6,10 +2423,R100 ,R123 ,19437.21,1.13,82301,7,10 +2424,R200 ,R207 ,17662.86,1.03,82183,9,10 +2425,R300 ,R342 ,8287.99,0.48,82124,6,10 +2426,R300 ,R327 ,14875.68,0.87,103658,6,10 +2427,R300 ,R310 ,20554.44,1.2,87393,4,10 +2428,R300 ,R304 ,14166.64,0.83,82240,6,10 +2429,R300 ,R322 ,11837.59,0.69,82343,6,10 +2430,R400 ,R428 ,14300.46,0.83,85134,1,10 +2431,R300 ,R334 ,13900.18,0.81,102189,4,10 +2432,R400 ,R439 ,12124.78,0.71,82311,1,10 +2433,R400 ,R439 ,10645.27,0.62,82236,1,10 +2434,R400 ,R460 ,16641.42,0.97,81961,1,10 +2436,R400 ,R417 ,12524.26,0.73,82324,3,10 +2437,R400 ,R431 ,13571.89,0.79,82214,3,10 +2438,R300 ,R322 ,10645.93,0.62,82382,6,10 +2439,R400 ,R431 ,13430.15,0.78,82287,3,10 +2440,R100 ,R133 ,14561.68,0.85,82278,5,10 +2442,R300 ,R332 ,14268.32,0.83,82355,4,10 +2445,R300 ,R359 ,12342.84,0.72,82306,4,10 +2446,R400 ,R461 ,13878.56,0.81,82109,2,10 +2448,R100 ,R129 ,11575.58,0.68,79562,7,10 +2449,R100 ,R101 ,16443.63,0.96,85996,5,10 +2450,R100 ,R169 ,13559.36,0.79,85639,5,10 +2451,R400 ,R469 ,27828.52,1.62,87111,2,10 +2454,R100 ,R107 ,18016.56,1.05,82387,7,10 +2455,R200 ,R208 ,15834.51,0.92,82590,9,10 +2456,R100 ,R124 ,21347.96,1.25,107394,5,10 +2457,R100 ,R176 ,21077.64,1.23,82430,8,10 +2458,R100 ,R177 ,13321.8,0.78,82233,8,10 +2459,R400 ,R438 ,12407.12,0.72,82135,2,10 +2460,R300 ,R301 ,11315.18,0.66,81996,6,10 +2461,R400 ,R438 ,13038.79,0.76,82284,2,10 +2462,R200 ,R240 ,16201.64,0.94,85529,9,10 +2463,R200 ,R246 ,17660.66,1.03,86038,9,10 +2465,R200 ,R231 ,36242.28,2.11,84466,9,10 +2467,R300 ,R327 ,10961.99,0.64,81855,6,10 +2468,R200 ,R248 ,21042.87,1.23,103779,9,10 +2469,R200 ,R250 ,13626.16,0.79,84451,9,10 +2470,R200 ,R207 ,17761.54,1.04,82584,9,10 +2471,R200 ,R205 ,17599.8,1.03,103431,9,10 +2472,R200 ,R220 ,16118.77,0.94,81977,9,10 +2473,R100 ,R168 ,20818.76,1.21,85348,4,10 +2474,R300 ,R332 ,16935.71,0.99,85941,4,10 +2475,R400 ,R459 ,25298.57,1.48,87391,2,10 +2476,R300 ,R334 ,27801.12,1.62,108688,4,10 +2478,R400 ,R417 ,13047.21,0.76,85748,3,10 +2480,R400 ,R470 ,13099.1,0.76,86377,1,10 +2482,R200 ,R244 ,17448.65,1.02,86586,9,10 +2483,R100 ,R172 ,14827.66,0.86,85442,4,10 +2485,R300 ,R359 ,12974.87,0.76,82918,4,10 +2486,R100 ,R172 ,13628.4,0.79,85822,5,10 +2488,R100 ,R172 ,16422.61,0.96,86006,5,10 +2489,R300 ,R314 ,12425.12,0.72,85675,4,10 +2490,R100 ,R121 ,19147.89,1.12,106766,5,10 +2491,R100 ,R146 ,16506.59,0.96,85927,5,10 +2492,R200 ,R246 ,16992.46,0.99,83759,9,10 +2493,R300 ,R346 ,11287.76,0.66,85804,4,10 +2494,R300 ,R303 ,12446.28,0.73,85769,6,10 +2495,R300 ,R341 ,15332.87,0.89,107348,6,10 +2496,R400 ,R453 ,13449.38,0.78,82821,3,10 +2497,R300 ,R373 ,12544.15,0.73,85952,9,10 +2498,R100 ,R167 ,15550.81,0.91,85803,6,10 +2499,R200 ,R205 ,15762.52,0.92,107308,9,10 +2501,R300 ,R370 ,14101.51,0.82,85787,3,10 +2503,R300 ,R340 ,17639.27,1.03,103610,4,10 +2516,R300 ,R302 ,14469.06,0.84,107351,6,10 +2519,R100 ,R102 ,12477.91,0.73,86712,5,10 +2520,R300 ,R326 ,10930.01,0.64,107443,6,10 +2523,R200 ,R258 ,21739.93,1.27,85996,10,10 +2524,R200 ,R250 ,18610.44,1.09,85127,9,10 +2525,R100 ,R123 ,13790.05,0.8,85698,7,10 +2526,R100 ,R127 ,12976.58,0.76,82494,7,10 +2527,R400 ,R421 ,13644.45,0.8,85782,3,10 +2528,R400 ,R416 ,11215.47,0.65,82825,2,10 +2529,R400 ,R431 ,14783.81,0.86,85807,3,10 +2530,R400 ,R447 ,12060.87,0.7,81769,1,10 +2531,R300 ,R331 ,14006.88,0.82,82502,6,10 +2532,R400 ,R428 ,18832.66,1.1,85689,1,10 +2533,R300 ,R304 ,13237.56,0.77,82865,6,10 +2534,R300 ,R331 ,12611.23,0.74,85262,6,10 +2536,R400 ,R461 ,16009.96,0.93,85859,3,10 +2537,R400 ,R421 ,14867.53,0.87,85862,3,10 +2538,R400 ,R457 ,13153.08,0.77,82572,3,10 +2540,R100 ,R143 ,17659.94,1.03,86399,8,10 +2542,R100 ,R129 ,20273.52,1.18,103504,6,10 +2544,R100 ,R135 ,14674.67,0.86,85980,5,10 +2545,R400 ,R453 ,17078.18,1,85916,3,10 +2546,R100 ,R110 ,14497.89,0.85,85943,5,10 +2547,R300 ,R360 ,11536.51,0.67,85792,4,10 +2548,R400 ,R421 ,14093.4,0.82,75582,3,10 +2550,R300 ,R302 ,10857.29,0.63,103940,6,10 +2557,R100 ,R172 ,14412.47,0.84,86062,5,10 +2559,R100 ,R122 ,15308.18,0.89,82554,5,10 +2565,R300 ,R362 ,6955.21,0.41,86031,4,10 +2567,R400 ,R431 ,14185.38,0.83,86057,3,10 +2568,R300 ,R380 ,20486.14,1.19,86392,9,10 +2569,R300 ,R373 ,13379.83,0.78,85898,9,10 +2570,R400 ,R468 ,14667.2,0.86,86060,1,10 +2572,R300 ,R302 ,20958.4,1.22,101369,6,10 +2581,R200 ,R233 ,15178.5,0.89,85236,9,10 +2584,R200 ,R233 ,20568.84,1.2,87380,9,10 +2586,R100 ,R110 ,19215.74,1.12,86289,5,10 +2596,R400 ,R421 ,14129.75,0.82,86612,3,10 +2601,R200 ,R212 ,18532.38,1.08,85641,9,10 +2604,R200 ,R208 ,14991.21,0.87,86813,9,10 +2605,R200 ,R233 ,20680.12,1.21,87313,9,10 +2607,R400 ,R428 ,10917.01,0.64,86008,1,10 +2608,R400 ,R461 ,14096.88,0.82,78437,3,10 +2609,R100 ,R178 ,15797.52,0.92,86118,8,10 +2613,R100 ,R116 ,26971.71,1.57,83519,5,10 +2615,R200 ,R237 ,19736.55,1.15,83372,9,10 +2627,R200 ,R263 ,16619.9,0.97,85914,9,10 +2631,R400 ,R415 ,15121.29,0.88,83229,3,10 +2632,R200 ,R239 ,20718.86,1.21,86716,9,10 +2641,R100 ,R178 ,22049.41,1.29,85386,8,10 +2649,R400 ,R429 ,17883.65,1.04,86430,1,10 +2660,R200 ,R257 ,50337.47,2.94,85572,9,10 +2682,R200 ,R257 ,60787.18,3.55,86688,9,10 +2693,R400 ,R429 ,22348.01,1.3,78343,1,10 +2697,R200 ,R257 ,49197.17,2.87,86717,9,10 +2715,R200 ,R250 ,18163.03,1.06,85629,9,10 +2716,R100 ,R179 ,26029.89,1.52,103599,8,10 +2717,R100 ,R179 ,16868.81,0.98,84045,8,10 +2721,R300 ,R372 ,15351.64,0.9,86076,4,10 +2725,R300 ,R322 ,6638.75,0.39,82643,6,10 +2727,R300 ,R301 ,12836.29,0.75,86223,6,10 +2728,R100 ,R168 ,14313.97,0.83,82660,4,10 +2729,R400 ,R470 ,14787.04,0.86,85163,1,10 +2730,R200 ,R261 ,19808.13,1.16,85619,9,10 +2737,R100 ,R167 ,14397.33,0.84,85650,6,10 +2739,R300 ,R301 ,10245.67,0.6,85796,6,10 +2742,R300 ,R350 ,17037.35,0.99,86116,4,10 +2744,R200 ,R213 ,16037.01,0.94,86827,9,10 +2747,R300 ,R379 ,15020.35,0.88,87031,9,10 +2753,R400 ,R419 ,20767.47,1.21,82700,2,10 +2754,R300 ,R342 ,11179.4,0.65,79305,6,10 +2757,R400 ,R454 ,23500.78,1.37,87536,3,10 +2759,R200 ,R240 ,21761.92,1.27,86306,9,10 +2760,R200 ,R240 ,19140.67,1.12,86140,9,10 +2764,R400 ,R453 ,20121.51,1.17,85110,3,10 +2765,R100 ,R146 ,21144.9,1.23,86977,5,10 +2766,R200 ,R210 ,10885.51,0.63,50670,9,10 +2767,R200 ,R211 ,29795.47,1.74,81382,9,10 +2768,R200 ,R212 ,12421.06,0.72,54031,9,10 +2770,R300 ,R370 ,17177.56,1,86658,3,10 +2771,R200 ,R237 ,15844.28,0.92,85407,9,10 +2772,R200 ,R212 ,16456.86,0.96,81415,9,10 +2774,R200 ,R204 ,13732.93,0.8,45825,9,10 +2775,R200 ,R204 ,12790.63,0.75,58067,9,10 +2776,R200 ,R204 ,11541.7,0.67,57332,9,10 +2779,R200 ,R260 ,18343.08,1.07,86115,10,10 +2780,R100 ,R110 ,19400.44,1.13,86169,5,10 +2781,R100 ,R116 ,19231.18,1.12,89292,5,10 +2784,R300 ,R372 ,9476.47,0.55,86519,4,10 +2785,R300 ,R371 ,17529.66,1.02,86089,4,10 +2786,R200 ,R265 ,7278.99,0.42,47568,10,10 +2787,R400 ,R454 ,18302.68,1.07,87777,3,10 +2790,R400 ,R441 ,27809.78,1.62,86814,3,10 +2791,R200 ,R258 ,6161.97,0.36,40431,10,10 +2795,R200 ,R245 ,9597.21,0.56,53312,9,10 +2796,R300 ,R340 ,16983.81,0.99,87476,4,10 +2799,R100 ,R116 ,17566.06,1.02,57790,5,10 +2802,R200 ,R231 ,14610.41,0.85,78679,9,10 +2803,R300 ,R327 ,10634.74,0.62,86126,6,10 +2804,R200 ,R212 ,23877.14,1.39,86680,9,10 +2805,R400 ,R438 ,13600.31,0.79,86209,2,10 +2810,R200 ,R209 ,22919.47,1.34,87264,9,10 +2811,R400 ,R459 ,16398.04,0.96,88436,2,10 +2813,R300 ,R378 ,18224.95,1.06,87120,6,10 +2815,R300 ,R351 ,11193.33,0.65,86144,4,10 +2816,R300 ,R369 ,12425.87,0.72,83199,4,10 +2818,R100 ,R136 ,16262.92,0.95,86314,5,10 +2820,R100 ,R175 ,16508.87,0.96,85821,8,10 +2822,R400 ,R429 ,19541.01,1.14,77450,1,10 +2824,R100 ,R147 ,15836.67,0.92,85871,5,10 +2829,R200 ,R211 ,16595.32,0.97,83206,9,10 +2830,R200 ,R233 ,16857.37,0.98,86011,9,10 +2831,R200 ,R206 ,13699.62,0.8,82986,9,10 +2840,R400 ,R455 ,20786.26,1.21,84895,2,10 +2843,R300 ,R349 ,17118.33,1,85989,4,10 +2844,R400 ,R455 ,15425.05,0.9,83289,2,10 +2845,R400 ,R411 ,17259.75,1.01,83326,3,10 +2847,R400 ,R424 ,19538.61,1.14,86329,2,10 +2848,R300 ,R349 ,13042.3,0.76,87087,4,10 +2850,R400 ,R423 ,14194.74,0.83,49455,2,10 +2851,R100 ,R173 ,14938.5,0.87,85416,5,10 +2853,R400 ,R450 ,13751.56,0.8,86202,2,10 +2855,R200 ,R231 ,23567.67,1.37,87616,9,10 +2857,R100 ,R161 ,18571.01,1.08,85375,10,10 +2860,R100 ,R112 ,14876.32,0.87,79532,5,10 +2865,R300 ,R304 ,11109.83,0.65,82010,6,10 +2867,R400 ,R453 ,12625.36,0.74,80000,3,10 +2868,R300 ,R311 ,8076.43,0.47,81752,6,10 +2870,R200 ,R257 ,31340,1.83,0,9,10 +2871,R200 ,R261 ,11190.52,0.65,50000,9,10 +3200,R100 ,R126 ,2018.34,0.12,12067,5,10 +3201,R200 ,R210 ,1221.53,0.07,8137,9,10 +3202,R200 ,R211 ,787.98,0.05,4762,9,10 +3203,R200 ,R212 ,1577.67,0.09,9712,9,10 +3204,R100 ,R163 ,1204.56,0.07,7819,5,10 +3205,R200 ,R201 ,1622.35,0.09,9555,9,10 +3206,R400 ,R462 ,2106.23,0.12,11683,3,10 +3207,R100 ,R116 ,1450.92,0.08,12189,5,10 +3208,R100 ,R116 ,1691.28,0.1,129000,5,10 +3210,R400 ,R412 ,2075.48,0.12,11362,3,10 +3211,R400 ,R412 ,1689.44,0.1,7450,3,10 +3212,R400 ,R462 ,1521.78,0.09,10594,3,10 +3214,R100 ,R116 ,1771.57,0.1,12560,5,10 +3216,R200 ,R204 ,1279.47,0.07,11017,9,10 +3217,R200 ,R204 ,2606.84,0.15,13776,9,10 +3218,R200 ,R219 ,2980.91,0.17,18948,9,10 +3219,R100 ,R145 ,1809.48,0.11,11937,5,10 +3221,R100 ,R116 ,1781.38,0.1,15806,5,10 +3222,R400 ,R429 ,1653.52,0.1,10403,1,10 +3223,R400 ,R429 ,1383.63,0.08,9955,1,10 +3224,R200 ,R233 ,2200.74,0.13,13280,9,10 +3225,R200 ,R207 ,2690.44,0.16,21625,9,10 +3226,R400 ,R429 ,1262.9,0.07,8196,1,10 +3227,R400 ,R462 ,2603.03,0.15,18900,3,10 +3229,R400 ,R423 ,2800.6,0.16,24167,2,10 +3230,R400 ,R469 ,1471.29,0.09,10521,2,10 +3233,R200 ,R202 ,1766.29,0.1,9700,9,10 +3234,R400 ,R430 ,2123.94,0.12,13923,3,10 +3235,R400 ,R451 ,4530.29,0.26,29059,2,10 +3236,R400 ,R455 ,3341.1,0.19,29809,2,10 +3237,R400 ,R469 ,1859.54,0.11,15806,2,10 +3238,R300 ,R324 ,1680.59,0.1,11545,4,10 +3239,R100 ,R101 ,1831.61,0.11,11100,5,10 +3240,R200 ,R212 ,2975.19,0.17,31988,9,10 +3241,R300 ,R372 ,1797.86,0.1,7500,4,10 +3242,R400 ,R448 ,3059.54,0.18,18745,3,10 +3243,R400 ,R423 ,2207.15,0.13,21600,2,10 +3244,R100 ,R169 ,2485.25,0.14,16500,5,10 +3247,R400 ,R421 ,5296.14,0.31,32664,3,10 +3249,R400 ,R423 ,1605.65,0.09,14249,2,10 +3250,R300 ,R322 ,903.51,0.05,11000,6,10 +3251,R200 ,R236 ,2025.36,0.12,14200,9,10 +3252,R100 ,R141 ,1802.91,0.11,20300,5,10 +3253,R400 ,R452 ,3975.59,0.23,31000,1,10 +3254,R100 ,R172 ,1945.21,0.11,9128,5,10 +3255,R300 ,R372 ,1356.87,0.08,11300,4,10 +3258,R200 ,R222 ,4202.41,0.25,25046,9,10 +3259,R400 ,R455 ,4858.49,0.28,31369,2,10 +3261,R300 ,R375 ,4091.49,0.24,31050,9,10 +3262,R200 ,R236 ,3376.77,0.2,20225,9,10 +3263,R400 ,R462 ,2252.46,0.13,20262,3,10 +3264,R200 ,R210 ,2131.68,0.12,17000,9,10 +3265,R200 ,R210 ,3463.55,0.2,29965,9,10 +3267,R200 ,R211 ,1207.94,0.07,13000,9,10 +3270,R100 ,R141 ,1616.55,0.09,12400,5,10 +3273,R300 ,R348 ,2686.86,0.16,19200,4,10 +3274,R200 ,R244 ,3067.18,0.18,25700,9,10 +3276,R400 ,R423 ,1044.2,0.06,12400,2,10 +3277,R400 ,R423 ,2645.38,0.15,22496,2,10 +3279,R100 ,R175 ,1627.21,0.09,12100,8,10 +3281,R200 ,R258 ,1604.14,0.09,17230,10,10 +3283,R100 ,R141 ,1513.74,0.09,16700,5,10 +3284,R400 ,R423 ,1161.45,0.07,11300,2,10 +3285,R400 ,R462 ,2880.72,0.17,36700,3,10 +3287,R400 ,R452 ,1718.72,0.1,19800,1,10 +3290,R400 ,R446 ,4845.36,0.28,43415,2,10 +3292,R300 ,R352 ,1573.85,0.09,32600,6,10 +3293,R200 ,R236 ,3814.79,0.22,31536,9,10 +3295,R400 ,R412 ,1857.09,0.11,0,3,10 +3296,R400 ,R422 ,4049.03,0.24,33425,2,10 +3304,R400 ,R429 ,1836.82,0.11,29738,1,10 +3305,R400 ,R470 ,3247.8,0.19,14200,1,10 +3306,R400 ,R447 ,3985.04,0.23,31800,1,10 +3307,R100 ,R116 ,1214.94,0.07,6300,5,10 +3310,R400 ,R421 ,3038.08,0.18,39623,3,10 +3315,R200 ,R261 ,2407.47,0.14,16400,9,10 +3316,R100 ,R178 ,2398.48,0.14,18196,8,10 +3318,R400 ,R424 ,2678.01,0.16,35000,2,10 diff --git a/mllib/lib/cluster.py b/mllib/lib/cluster.py index 796459c..c1fc768 100644 --- a/mllib/lib/cluster.py +++ b/mllib/lib/cluster.py @@ -10,7 +10,7 @@ fn_ip = "store.csv" -x_var = ["x1"] +x_var = ["x1", "x3"] max_cluster = 10 # method = "one_se" method = "gap_max" @@ -73,6 +73,12 @@ def _nref(df): df_result = pd.DataFrame({"cluster": [], "gap": [], "sk": []}) +dict_nref = dict() + +for i in range(nrefs): + # Create new random reference set + dict_nref[i] = _nref(df) + for gap_index, k in enumerate(range(1, max_cluster+1)): # Holder for reference dispersion results ref_disps = np.zeros(nrefs) @@ -80,7 +86,7 @@ def _nref(df): # resulting dispersion of each loop for i in range(nrefs): # Create new random reference set - random_ref = _nref(df) + random_ref = dict_nref[i] # Fit to it km = KMeans(k, random_state=seed) km.fit(random_ref) @@ -92,7 +98,8 @@ def _nref(df): orig_disp = km.inertia_ # Calculate gap statistic if orig_disp > 0.0: - gap = np.log(np.mean(ref_disps)) - np.log(orig_disp) + # gap = np.log(np.mean(ref_disps)) - np.log(orig_disp) + gap = np.mean(np.log(ref_disps)) - np.log(orig_disp) else: gap = np.inf # Standard error @@ -121,4 +128,5 @@ def _nref(df): km.fit(df_clus_ip) clus_op = km.labels_ -df_result +print("optimal k:", opt_k) +print(df_result) From 083fb28f016097b8cc2eb73955a2ecd010ba419a Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sun, 5 Sep 2021 01:27:49 +0530 Subject: [PATCH 007/116] v0.4.0 changelog: - added module Cluster - added 5 integration tests for module Cluster - removed pylint workflow (github action) --- .github/workflows/pylint.yml | 22 - bin/run_tests.sh | 4 +- data/input/store.csv | 3686 +++++++++++++------------- install.sh | 63 + log/cov.out | 7 + log/pip.out | 1 + log/pylint/lib-__init__-py.out | 4 + log/pylint/lib-cfg-py.out | 4 + log/pylint/lib-cluster-py.out | 4 + log/pylint/lib-utils-py.out | 4 + log/pylint/mllib-__init__-py.out | 4 + log/pylint/mllib-__main__-py.out | 4 + log/pylint/pylint.out | 4 + log/pylint/tests-__init__-py.out | 4 + log/pylint/tests-test_cluster-py.out | 4 + mllib/__main__.py | 24 +- mllib/lib/cluster.py | 313 ++- requirements.txt | 3 + tests/test_cluster.py | 53 +- 19 files changed, 2216 insertions(+), 1996 deletions(-) delete mode 100644 .github/workflows/pylint.yml create mode 100644 install.sh create mode 100644 log/cov.out create mode 100644 log/pip.out create mode 100644 log/pylint/lib-__init__-py.out create mode 100644 log/pylint/lib-cfg-py.out create mode 100644 log/pylint/lib-cluster-py.out create mode 100644 log/pylint/lib-utils-py.out create mode 100644 log/pylint/mllib-__init__-py.out create mode 100644 log/pylint/mllib-__main__-py.out create mode 100644 log/pylint/pylint.out create mode 100644 log/pylint/tests-__init__-py.out create mode 100644 log/pylint/tests-test_cluster-py.out create mode 100644 requirements.txt diff --git a/.github/workflows/pylint.yml b/.github/workflows/pylint.yml deleted file mode 100644 index 0ab8ecd..0000000 --- a/.github/workflows/pylint.yml +++ /dev/null @@ -1,22 +0,0 @@ -name: Pylint - -on: [push] - -jobs: - build: - - runs-on: ubuntu-latest - - steps: - - uses: actions/checkout@v2 - - name: Set up Python 3.7 - uses: actions/setup-python@v2 - with: - python-version: 3.7 - - name: Install dependencies - run: | - python -m pip install --upgrade pip - pip install pylint - - name: Analysing the code with pylint - run: | - pylint `ls -R|grep .py$|xargs` diff --git a/bin/run_tests.sh b/bin/run_tests.sh index 79fc36e..46dedcc 100644 --- a/bin/run_tests.sh +++ b/bin/run_tests.sh @@ -40,7 +40,7 @@ then then COV_COLOR="dagreen" fi - sed -i '' "2s/.*/\[\!\[Coverage score\]\(\https\:\/\/img\.shields\.io\/badge\/coverage\-$COV_SCORE\%25\-$COV_COLOR.svg\)\]\(\.\/log\/cov\.out\)/" "$proj_dir/README.md" + sed -i "2s/.*/\[\!\[Coverage score\]\(\https\:\/\/img\.shields\.io\/badge\/coverage\-$COV_SCORE\%25\-$COV_COLOR.svg\)\]\(\.\/log\/cov\.out\)/" "$proj_dir/README.md" printf "=%.0s" {1..70} printf "\n" fi @@ -70,7 +70,7 @@ then tot_score=$(echo "scale=1; $score/$cnt" | bc) printf "\nTotal score: $tot_score\n" # Add pylint badge to README.md - sed -i '' "1s/.*/\[\!\[pylint Score\]\(https\:\/\/mperlet\.github\.io\/pybadge\/badges\/$tot_score.svg\)\]\(\.\/log\/pylint\/\)/" "$proj_dir/README.md" + sed -i "1s/.*/\[\!\[pylint Score\]\(https\:\/\/mperlet\.github\.io\/pybadge\/badges\/$tot_score.svg\)\]\(\.\/log\/pylint\/\)/" "$proj_dir/README.md" printf "=%.0s" {1..70} printf "\n" fi diff --git a/data/input/store.csv b/data/input/store.csv index 5807415..55e3503 100644 --- a/data/input/store.csv +++ b/data/input/store.csv @@ -1,1843 +1,1843 @@ -y,x1,x2,x3,x4,x5,x6,x7 -3,R100 ,R131 ,17413.06,1.02,80844,5,10 -4,R100 ,R114 ,23290.41,1.36,82980,5,10 -5,R100 ,R163 ,18241.02,1.06,80933,5,10 -12,R100 ,R117 ,20692.01,1.21,69184,7,10 -13,R300 ,R352 ,8252.73,0.48,69674,6,10 -19,R100 ,R129 ,16169.47,0.94,74595,6,10 -26,R100 ,R117 ,20397.41,1.19,72984,7,10 -43,R300 ,R301 ,18933.64,1.1,81050,6,10 -48,R100 ,R175 ,14473.25,0.84,78121,8,10 -52,R100 ,R126 ,17470.96,1.02,73182,5,10 -55,R300 ,R352 ,11862.25,0.69,75618,6,10 -61,R100 ,R143 ,31066.83,1.81,79900,8,10 -64,R100 ,R176 ,26316.01,1.53,80978,8,10 -67,R300 ,R326 ,8210.73,0.48,74609,6,10 -68,R100 ,R102 ,13214,0.77,72394,5,10 -69,R100 ,R105 ,16713.05,0.97,72221,7,10 -75,R300 ,R311 ,11314.14,0.66,77492,6,10 -76,R100 ,R143 ,22717.36,1.32,79855,8,10 -78,R100 ,R147 ,11464.04,0.67,62523,5,10 -79,R100 ,R176 ,16834.94,0.98,74041,8,10 -80,R300 ,R326 ,11171.17,0.65,64431,6,10 -82,R100 ,R110 ,13369.59,0.78,80681,5,10 -83,R300 ,R352 ,8377.58,0.49,74591,6,10 -85,R100 ,R143 ,17766.32,1.04,59142,8,10 -86,R100 ,R127 ,14260.12,0.83,59850,7,10 -90,R300 ,R332 ,15633,0.91,76659,4,10 -93,R100 ,R179 ,14529.19,0.85,72158,8,10 -95,R300 ,R341 ,8524.54,0.5,73885,6,10 -96,R300 ,R322 ,10237.9,0.6,65671,6,10 -100,R100 ,R101 ,21131.13,1.23,87002,5,10 -108,R100 ,R140 ,15754.07,0.92,71622,5,10 -111,R100 ,R138 ,11261.98,0.66,66487,5,10 -137,R100 ,R147 ,15292.52,0.89,64431,5,10 -139,R100 ,R168 ,11471.15,0.67,64721,5,10 -144,R300 ,R333 ,10607.4,0.62,73295,4,10 -146,R300 ,R369 ,18405.68,1.07,81849,4,10 -147,R100 ,R177 ,12738.47,0.74,64658,8,10 -151,R300 ,R351 ,13956.32,0.81,76401,4,10 -152,R100 ,R150 ,12321.35,0.72,61912,5,10 -154,R100 ,R177 ,14698.64,0.86,77392,8,10 -158,R300 ,R303 ,10653.68,0.62,77114,6,10 -162,R100 ,R167 ,12722.31,0.74,62900,6,10 -164,R100 ,R176 ,11060.36,0.65,48505,8,10 -167,R300 ,R353 ,9746.49,0.57,64427,6,10 -171,R100 ,R161 ,17392.43,1.01,64978,8,10 -176,R300 ,R327 ,8160.21,0.48,54334,6,10 -183,R200 ,R219 ,13248.23,0.77,63185,9,10 -184,R200 ,R263 ,24366.54,1.42,69243,9,10 -188,R200 ,R248 ,11887.53,0.69,71593,9,10 -189,R200 ,R263 ,15584.92,0.91,59354,9,10 -190,R200 ,R263 ,24461.04,1.43,75264,9,10 -192,R200 ,R222 ,13160.46,0.77,76558,9,10 -193,R200 ,R222 ,14146.35,0.83,68708,9,10 -195,R200 ,R207 ,23764.51,1.39,72859,9,10 -198,R200 ,R239 ,23030.22,1.34,73725,9,10 -199,R200 ,R239 ,26726.84,1.56,75022,9,10 -200,R200 ,R239 ,21217.78,1.24,74377,9,10 -201,R200 ,R201 ,25958.87,1.51,73626,9,10 -203,R200 ,R201 ,16166.95,0.94,77253,9,10 -205,R200 ,R231 ,16046.88,0.94,59508,9,10 -212,R200 ,R232 ,14804.74,0.86,74467,9,10 -215,R100 ,R114 ,21632.8,1.26,81513,5,10 -217,R100 ,R107 ,18711.11,1.09,65702,7,10 -219,R300 ,R342 ,10912.68,0.64,63415,6,10 -220,R100 ,R101 ,19106.85,1.11,86457,5,10 -221,R300 ,R352 ,10463.51,0.61,72153,6,10 -222,R200 ,R217 ,12018.7,0.7,77076,9,10 -223,R100 ,R110 ,13154.64,0.77,73069,5,10 -224,R100 ,R176 ,14574.35,0.85,64499,8,10 -226,R200 ,R206 ,10126.04,0.59,78081,9,10 -227,R200 ,R217 ,15610.25,0.91,75351,9,10 -228,R200 ,R209 ,14994.32,0.87,65908,9,10 -229,R200 ,R222 ,19104.43,1.11,71296,9,10 -230,R200 ,R244 ,14022.91,0.82,75821,9,10 -233,R300 ,R377 ,11728.62,0.68,77536,9,10 -238,R100 ,R128 ,13388.86,0.78,65788,5,10 -239,R100 ,R118 ,16367.14,0.95,66234,7,10 -245,R200 ,R219 ,15621.46,0.91,66047,9,10 -246,R200 ,R209 ,15074.4,0.88,75764,9,10 -249,R200 ,R202 ,18977.52,1.11,65847,9,10 -250,R200 ,R202 ,15300.04,0.89,66600,9,10 -251,R300 ,R379 ,12822.92,0.75,73509,9,10 -253,R100 ,R161 ,15975.28,0.93,49740,8,10 -254,R300 ,R342 ,11721.89,0.68,49242,6,10 -255,R300 ,R352 ,8613.77,0.5,65457,6,10 -256,R100 ,R175 ,26823.57,1.56,72029,8,10 -257,R200 ,R219 ,16386,0.96,75789,9,10 -258,R200 ,R206 ,11366.3,0.66,66623,9,10 -259,R200 ,R261 ,18550.29,1.08,80244,9,10 -260,R100 ,R101 ,16117.45,0.94,63467,5,10 -264,R300 ,R373 ,12624.49,0.74,61072,9,10 -265,R300 ,R380 ,11977.66,0.7,81141,9,10 -267,R200 ,R220 ,17884.67,1.04,81103,9,10 -271,R100 ,R179 ,16025.48,0.93,76348,8,10 -273,R200 ,R218 ,16760.95,0.98,76899,9,10 -274,R200 ,R231 ,15577.34,0.91,71978,9,10 -275,R200 ,R213 ,12949.36,0.76,66256,9,10 -278,R100 ,R134 ,14748.05,0.86,75968,5,10 -279,R100 ,R137 ,11085.89,0.65,77477,5,10 -280,R100 ,R148 ,11631.64,0.68,76161,5,10 -281,R100 ,R148 ,9908.12,0.58,78235,5,10 -282,R100 ,R135 ,15323.94,0.89,73581,5,10 -286,R200 ,R222 ,14255.01,0.83,61242,9,10 -288,R200 ,R209 ,22006.37,1.28,81474,9,10 -289,R200 ,R222 ,14292.38,0.83,61433,9,10 -290,R200 ,R239 ,18461.78,1.08,86772,9,10 -291,R200 ,R232 ,13020.93,0.76,60322,9,10 -293,R200 ,R244 ,13748.59,0.8,62694,9,10 -294,R200 ,R219 ,21871.31,1.28,80926,9,10 -296,R200 ,R231 ,14391.37,0.84,67705,9,10 -298,R200 ,R240 ,16823.13,0.98,80350,9,10 -299,R200 ,R209 ,13201.29,0.77,65771,9,10 -300,R200 ,R261 ,12684.69,0.74,63788,9,10 -301,R200 ,R206 ,3620001.02,211.14,83815,9,10 -302,R200 ,R263 ,14625.95,0.85,63132,9,10 -303,R200 ,R261 ,14815.02,0.86,64181,9,10 -304,R200 ,R231 ,13578.56,0.79,64076,9,10 -305,R200 ,R231 ,15078.17,0.88,66946,9,10 -307,R200 ,R205 ,12927.6,0.75,76103,9,10 -309,R200 ,R240 ,13776.63,0.8,64878,9,10 -310,R200 ,R246 ,14322.45,0.84,67605,9,10 -311,R200 ,R220 ,18370.87,1.07,60950,9,10 -312,R200 ,R220 ,17400.32,1.01,74884,9,10 -313,R200 ,R246 ,22900.55,1.34,72559,9,10 -314,R200 ,R213 ,13669.59,0.8,62438,9,10 -317,R200 ,R208 ,23051.67,1.34,64525,9,10 -318,R200 ,R208 ,18353.7,1.07,78674,9,10 -319,R300 ,R379 ,13809.68,0.81,72008,9,10 -320,R200 ,R210 ,27109.95,1.58,86991,9,10 -321,R200 ,R210 ,16997.32,0.99,73450,9,10 -322,R200 ,R210 ,17208.92,1,64752,9,10 -323,R200 ,R233 ,15363.32,0.9,80548,9,10 -324,R200 ,R233 ,21284.51,1.24,86940,9,10 -328,R200 ,R237 ,43726.31,2.55,70781,9,10 -330,R200 ,R247 ,12027.58,0.7,68082,9,10 -331,R200 ,R247 ,17419.86,1.02,66921,9,10 -332,R200 ,R247 ,12368.4,0.72,65852,9,10 -335,R300 ,R305 ,11422.19,0.67,66727,6,10 -336,R200 ,R202 ,21101.16,1.23,71527,9,10 -337,R200 ,R264 ,14635.59,0.85,66550,10,10 -338,R200 ,R264 ,16602.57,0.97,76473,10,10 -339,R200 ,R265 ,16888.18,0.99,58755,10,10 -341,R200 ,R259 ,22173.45,1.29,76337,10,10 -342,R200 ,R259 ,15013.57,0.88,71806,10,10 -343,R200 ,R258 ,13540.57,0.79,75090,10,10 -344,R200 ,R258 ,19060.47,1.11,74577,10,10 -345,R200 ,R258 ,19543.35,1.14,76378,10,10 -346,R200 ,R260 ,22555.49,1.32,82049,10,10 -347,R100 ,R135 ,11678.05,0.68,65415,5,10 -348,R200 ,R264 ,16714.12,0.97,65578,10,10 -349,R200 ,R262 ,14038.88,0.82,66290,10,10 -350,R100 ,R135 ,12169.44,0.71,65379,5,10 -351,R100 ,R134 ,12084.35,0.7,66018,5,10 -353,R100 ,R137 ,12788.3,0.75,62972,5,10 -354,R100 ,R148 ,13587.71,0.79,76345,5,10 -355,R100 ,R144 ,11952.45,0.7,66017,7,10 -356,R300 ,R378 ,16005.66,0.93,69067,6,10 -357,R300 ,R378 ,16083.17,0.94,82732,6,10 -358,R200 ,R213 ,15717.28,0.92,67402,9,10 -359,R200 ,R205 ,22621.42,1.32,67096,9,10 -360,R100 ,R163 ,13269.87,0.77,74426,5,10 -361,R100 ,R137 ,10869.13,0.63,61750,5,10 -362,R200 ,R258 ,11993.62,0.7,66740,10,10 -363,R300 ,R377 ,17075.5,1,66706,9,10 -364,R100 ,R146 ,15159.91,0.88,66271,5,10 -365,R100 ,R137 ,13262.49,0.77,66062,5,10 -366,R100 ,R168 ,17256.12,1.01,65990,4,10 -373,R300 ,R334 ,14656.24,0.85,80648,4,10 -397,R100 ,R136 ,12922.53,0.75,67248,5,10 -530,R100 ,R107 ,19923.38,1.16,103457,7,10 -531,R100 ,R144 ,16151.47,0.94,84704,7,10 -532,R100 ,R107 ,17833.54,1.04,98036,7,10 -533,R100 ,R127 ,34191.9,1.99,89039,7,10 -604,R100 ,R136 ,14096.32,0.82,67111,5,10 -606,R200 ,R262 ,17183.87,1,66151,10,10 -607,R200 ,R262 ,14899.87,0.87,66057,10,10 -608,R200 ,R260 ,15644.36,0.91,66405,10,10 -609,R200 ,R260 ,11360.22,0.66,60279,10,10 -610,R100 ,R136 ,11809.55,0.69,66444,5,10 -611,R100 ,R137 ,11098.5,0.65,65653,5,10 -612,R200 ,R260 ,16885.54,0.98,74348,10,10 -613,R200 ,R260 ,12190.76,0.71,66333,10,10 -614,R200 ,R250 ,12850.16,0.75,66231,9,10 -615,R200 ,R208 ,13925.71,0.81,66575,9,10 -616,R100 ,R137 ,10833.78,0.63,66576,5,10 -617,R100 ,R161 ,20871.26,1.22,66088,10,10 -618,R100 ,R177 ,12361,0.72,50149,8,10 -619,R100 ,R126 ,19079.03,1.11,98794,5,10 -620,R100 ,R111 ,14951.87,0.87,67544,5,10 -622,R100 ,R148 ,11238.4,0.66,65458,5,10 -623,R100 ,R148 ,14675.69,0.86,66573,5,10 -624,R100 ,R148 ,11932.04,0.7,65750,5,10 -625,R300 ,R378 ,15289.87,0.89,75376,6,10 -626,R200 ,R237 ,13135.78,0.77,68252,9,10 -627,R200 ,R259 ,14874.91,0.87,66207,10,10 -628,R200 ,R262 ,18734.17,1.09,50594,10,10 -632,R100 ,R134 ,11463.05,0.67,66097,5,10 -634,R100 ,R148 ,15091.59,0.88,66189,5,10 -636,R100 ,R161 ,16625.41,0.97,66748,10,10 -637,R200 ,R259 ,13760.15,0.8,61785,10,10 -638,R300 ,R318 ,12475.7,0.73,66168,4,10 -639,R300 ,R374 ,12022.38,0.7,75334,9,10 -641,R200 ,R213 ,15340.49,0.89,75407,9,10 -642,R300 ,R310 ,16165.36,0.94,66799,4,10 -643,R100 ,R163 ,19057.3,1.11,92458,5,10 -645,R300 ,R315 ,11095.3,0.65,79182,4,10 -647,R300 ,R313 ,13955.94,0.81,75669,4,10 -649,R300 ,R324 ,15011.35,0.88,70602,4,10 -650,R300 ,R365 ,10206.04,0.6,66253,4,10 -652,R300 ,R314 ,13283.59,0.77,66845,4,10 -654,R300 ,R354 ,15300.77,0.89,76687,4,10 -655,R300 ,R314 ,13824.79,0.81,74609,4,10 -656,R300 ,R314 ,11401.5,0.66,73212,4,10 -657,R100 ,R114 ,16250.62,0.95,72026,5,10 -658,R100 ,R143 ,13334.06,0.78,56072,5,10 -659,R100 ,R114 ,14857.14,0.87,73784,5,10 -660,R200 ,R248 ,18044.54,1.05,82029,9,10 -661,R100 ,R131 ,11975.33,0.7,55260,5,10 -662,R100 ,R102 ,12920.75,0.75,73838,5,10 -663,R100 ,R111 ,14683.45,0.86,75436,5,10 -664,R100 ,R131 ,28491.6,1.66,90014,5,10 -665,R300 ,R354 ,12082.51,0.7,75447,4,10 -666,R100 ,R173 ,18710.74,1.09,85468,5,10 -669,R300 ,R315 ,13741.96,0.8,76207,4,10 -670,R100 ,R147 ,17538.55,1.02,85753,5,10 -671,R100 ,R136 ,15063.66,0.88,77104,5,10 -672,R100 ,R135 ,9472.64,0.55,56980,5,10 -673,R100 ,R148 ,12272.15,0.72,74994,5,10 -674,R100 ,R117 ,11906.48,0.69,74825,5,10 -675,R200 ,R247 ,12611.32,0.74,66790,9,10 -676,R200 ,R245 ,12996.93,0.76,76516,9,10 -677,R200 ,R244 ,15104.15,0.88,74961,9,10 -679,R100 ,R161 ,13577.39,0.79,56269,10,10 -680,R300 ,R380 ,12815.67,0.75,66975,9,10 -681,R200 ,R259 ,14110.54,0.82,75520,10,10 -682,R300 ,R332 ,14346.29,0.84,85748,4,10 -684,R300 ,R304 ,14466.89,0.84,74003,6,10 -685,R200 ,R219 ,14253.86,0.83,74776,9,10 -686,R300 ,R359 ,13970.9,0.81,74939,4,10 -687,R300 ,R324 ,22537.92,1.31,73964,4,10 -688,R300 ,R313 ,13191.38,0.77,74889,4,10 -689,R300 ,R360 ,11874.18,0.69,79256,4,10 -690,R300 ,R320 ,12607.31,0.74,75475,4,10 -692,R200 ,R212 ,16675.5,0.97,74657,9,10 -693,R100 ,R131 ,14323.35,0.84,75068,5,10 -694,R100 ,R102 ,19843.7,1.16,79452,5,10 -695,R300 ,R369 ,18813.73,1.1,79827,4,10 -696,R200 ,R264 ,11071.47,0.65,56332,10,10 -699,R100 ,R178 ,15547.59,0.91,75653,10,10 -700,R300 ,R376 ,13718.33,0.8,79122,9,10 -731,R100 ,R133 ,14704.79,0.86,80185,5,10 -732,R100 ,R121 ,16922.39,0.99,79893,5,10 -733,R100 ,R147 ,11778.71,0.69,56463,5,10 -734,R300 ,R348 ,13176.85,0.77,57593,4,10 -735,R300 ,R376 ,9886.67,0.58,65587,9,10 -736,R200 ,R232 ,14899.71,0.87,79654,9,10 -737,R200 ,R211 ,11658.33,0.68,79226,9,10 -738,R200 ,R218 ,12452.37,0.73,69457,9,10 -739,R100 ,R177 ,15816.5,0.92,74947,8,10 -740,R300 ,R348 ,13188.93,0.77,68100,4,10 -746,R300 ,R349 ,17283.73,1.01,82780,4,10 -747,R300 ,R346 ,12341.8,0.72,74525,4,10 -749,R300 ,R335 ,10602.2,0.62,83248,4,10 -750,R300 ,R348 ,16034.87,0.94,56541,4,10 -751,R100 ,R126 ,12347.29,0.72,75151,5,10 -752,R100 ,R118 ,12834.54,0.75,72085,7,10 -753,R100 ,R112 ,14159.83,0.83,75137,5,10 -754,R300 ,R331 ,13030.96,0.76,75437,4,10 -755,R300 ,R371 ,17954.69,1.05,81291,4,10 -756,R300 ,R351 ,12277.07,0.72,56090,4,10 -757,R100 ,R140 ,11394.52,0.66,71676,4,10 -758,R300 ,R321 ,9805.5,0.57,75314,6,10 -759,R400 ,R466 ,13812.66,0.81,82346,3,10 -760,R200 ,R265 ,12263.55,0.72,75243,10,10 -761,R200 ,R205 ,12517.46,0.73,79627,9,10 -762,R300 ,R355 ,13260.1,0.77,75079,4,10 -766,R200 ,R258 ,15063.67,0.88,57588,10,10 -767,R200 ,R206 ,11838.62,0.69,79816,9,10 -768,R100 ,R178 ,14300.03,0.83,79041,8,10 -769,R300 ,R374 ,12764.85,0.74,57193,6,10 -770,R300 ,R321 ,33605.62,1.96,75023,6,10 -771,R300 ,R327 ,12210.47,0.71,77443,6,10 -772,R400 ,R466 ,14169.17,0.83,79977,3,10 -773,R100 ,R140 ,10690.24,0.62,74470,5,10 -774,R100 ,R167 ,13946.17,0.81,70113,7,10 -775,R300 ,R302 ,11675,0.68,81270,6,10 -778,R300 ,R336 ,11251.62,0.66,83741,4,10 -779,R100 ,R168 ,10057.59,0.59,55763,4,10 -780,R100 ,R168 ,14748.17,0.86,75680,4,10 -792,R100 ,R174 ,12913.43,0.75,83730,5,10 -793,R100 ,R171 ,12900.57,0.75,82156,5,10 -794,R100 ,R171 ,18977.98,1.11,80586,5,10 -795,R300 ,R351 ,12827.42,0.75,74892,4,10 -796,R300 ,R335 ,12221.83,0.71,62396,4,10 -797,R300 ,R359 ,11817.54,0.69,75447,4,10 -798,R300 ,R314 ,11531.76,0.67,83273,4,10 -799,R300 ,R354 ,14277.17,0.83,80716,4,10 -800,R300 ,R304 ,15227.79,0.89,75364,6,10 -801,R300 ,R305 ,12687.79,0.74,74903,6,10 -802,R300 ,R305 ,10382.85,0.61,81104,6,10 -803,R100 ,R105 ,12177.95,0.71,73609,7,10 -804,R100 ,R111 ,14030.28,0.82,95593,7,10 -805,R100 ,R146 ,11351.29,0.66,55502,5,10 -806,R100 ,R146 ,11181.7,0.65,55848,5,10 -807,R100 ,R128 ,14802.49,0.86,75358,5,10 -808,R100 ,R128 ,14435.58,0.84,76023,5,10 -809,R100 ,R146 ,14463.27,0.84,75443,5,10 -810,R100 ,R150 ,18293.01,1.07,79359,5,10 -811,R300 ,R348 ,11270.38,0.66,74535,4,10 -812,R300 ,R354 ,13458.47,0.78,76779,4,10 -813,R300 ,R320 ,12430.83,0.73,83627,4,10 -815,R300 ,R318 ,18275.95,1.07,93937,4,10 -816,R300 ,R360 ,16732.91,0.98,83497,4,10 -817,R300 ,R354 ,12219.45,0.71,74986,4,10 -818,R300 ,R320 ,16331.83,0.95,95399,4,10 -819,R100 ,R134 ,14761.37,0.86,75749,5,10 -820,R100 ,R124 ,13094,0.76,74449,5,10 -821,R100 ,R114 ,13080.87,0.76,55736,5,10 -822,R300 ,R374 ,13598.9,0.79,73133,6,10 -823,R300 ,R374 ,10773.36,0.63,73354,6,10 -824,R300 ,R305 ,16570.77,0.97,73531,6,10 -825,R300 ,R375 ,21786.15,1.27,82399,9,10 -826,R300 ,R373 ,14130.02,0.82,77967,9,10 -827,R200 ,R247 ,14627.47,0.85,77096,9,10 -828,R200 ,R237 ,14267.82,0.83,79853,9,10 -830,R200 ,R265 ,14285.9,0.83,75195,10,10 -831,R100 ,R176 ,9757.66,0.57,54546,7,10 -832,R300 ,R378 ,10729.06,0.63,54430,6,10 -833,R100 ,R112 ,21095.08,1.23,94531,5,10 -834,R100 ,R122 ,10162.99,0.59,74093,5,10 -835,R100 ,R122 ,17435.22,1.02,95756,5,10 -836,R100 ,R122 ,18008.8,1.05,94990,5,10 -837,R100 ,R141 ,18986.37,1.11,74725,5,10 -838,R100 ,R115 ,16768.37,0.98,77118,5,10 -839,R100 ,R115 ,16029.09,0.93,81683,5,10 -840,R100 ,R115 ,18403.36,1.07,94895,5,10 -841,R100 ,R145 ,14517.66,0.85,73806,5,10 -842,R100 ,R121 ,13751.94,0.8,81006,5,10 -843,R100 ,R121 ,19472.96,1.14,73299,5,10 -844,R300 ,R348 ,18103.13,1.06,79801,4,10 -845,R300 ,R313 ,12493.38,0.73,75701,4,10 -847,R100 ,R114 ,17040.68,0.99,82758,5,10 -848,R100 ,R143 ,11848.11,0.69,56972,8,10 -849,R300 ,R374 ,15576.15,0.91,73085,6,10 -850,R300 ,R373 ,12381.32,0.72,75112,9,10 -851,R300 ,R375 ,10456.67,0.61,79594,9,10 -852,R200 ,R212 ,13930.61,0.81,75152,9,10 -853,R200 ,R246 ,14804.51,0.86,80007,9,10 -854,R300 ,R376 ,12662.51,0.74,79382,9,10 -855,R300 ,R376 ,12077.75,0.7,75102,9,10 -856,R100 ,R107 ,11568.85,0.67,56822,7,10 -857,R100 ,R107 ,12676.07,0.74,72247,7,10 -858,R300 ,R364 ,12123.38,0.71,81664,6,10 -859,R100 ,R143 ,11344.36,0.66,56053,8,10 -860,R100 ,R127 ,10387.94,0.61,57143,7,10 -861,R100 ,R131 ,14089.19,0.82,69349,5,10 -862,R100 ,R101 ,17025.68,0.99,75690,5,10 -863,R100 ,R128 ,16827.45,0.98,75267,5,10 -864,R100 ,R110 ,13243.49,0.77,57323,5,10 -865,R100 ,R150 ,16207.49,0.95,74598,5,10 -866,R100 ,R121 ,17452.99,1.02,74472,5,10 -867,R100 ,R115 ,15276.27,0.89,78734,5,10 -868,R100 ,R145 ,13700.88,0.8,72395,5,10 -870,R100 ,R133 ,14944.44,0.87,73340,5,10 -871,R100 ,R147 ,14713.99,0.86,75927,5,10 -872,R100 ,R137 ,19656.7,1.15,83744,5,10 -873,R300 ,R324 ,14953.98,0.87,82790,4,10 -874,R300 ,R313 ,11707.98,0.68,78991,4,10 -875,R300 ,R352 ,8397.58,0.49,80019,6,10 -876,R300 ,R321 ,7788.55,0.45,75175,6,10 -877,R300 ,R367 ,15207.69,0.89,79749,4,10 -878,R100 ,R105 ,12148.5,0.71,70402,7,10 -879,R100 ,R107 ,10502.31,0.61,57554,7,10 -880,R100 ,R122 ,14841.71,0.87,81730,5,10 -881,R100 ,R138 ,10260.59,0.6,75977,5,10 -882,R300 ,R303 ,13883.89,0.81,75518,6,10 -883,R200 ,R236 ,25053.52,1.46,80938,9,10 -884,R300 ,R377 ,12522.09,0.73,56068,9,10 -885,R100 ,R161 ,22473.63,1.31,83090,8,10 -887,R300 ,R303 ,11557.09,0.67,57918,6,10 -888,R300 ,R311 ,11238.45,0.66,70353,6,10 -891,R100 ,R127 ,10641.29,0.62,56494,5,10 -893,R100 ,R122 ,9777.19,0.57,75476,5,10 -894,R100 ,R121 ,12858.27,0.75,75096,5,10 -895,R100 ,R147 ,14090.52,0.82,68150,5,10 -896,R100 ,R135 ,15066.37,0.88,75471,5,10 -897,R300 ,R313 ,15443.46,0.9,79188,4,10 -898,R300 ,R313 ,11953.84,0.7,79408,4,10 -899,R300 ,R320 ,15640.01,0.91,79414,4,10 -901,R100 ,R136 ,13281.67,0.77,83241,5,10 -904,R100 ,R114 ,15871.84,0.93,83109,5,10 -905,R100 ,R129 ,11363.9,0.66,56016,7,10 -906,R100 ,R129 ,9824.93,0.57,56320,7,10 -907,R300 ,R364 ,12520.79,0.73,75033,6,10 -909,R300 ,R379 ,20735.77,1.21,78678,9,10 -910,R200 ,R258 ,17719.57,1.03,74972,10,10 -911,R200 ,R213 ,14027.57,0.82,83015,9,10 -912,R200 ,R206 ,12509.72,0.73,79722,9,10 -913,R200 ,R261 ,21092.98,1.23,80793,9,10 -914,R200 ,R261 ,17387.01,1.01,84371,9,10 -915,R100 ,R161 ,12881.37,0.75,57131,10,10 -917,R300 ,R346 ,16139.13,0.94,79750,4,10 -918,R300 ,R355 ,16759.65,0.98,79977,4,10 -919,R300 ,R314 ,10185.33,0.59,68358,4,10 -920,R300 ,R367 ,13588.43,0.79,79375,4,10 -921,R300 ,R332 ,15469.82,0.9,58807,4,10 -922,R100 ,R137 ,14012.34,0.82,77171,5,10 -923,R100 ,R148 ,14182.56,0.83,70222,5,10 -924,R100 ,R136 ,10767.7,0.63,56887,5,10 -926,R100 ,R127 ,13836.29,0.81,65842,5,10 -927,R100 ,R141 ,15681.73,0.91,83590,5,10 -928,R100 ,R141 ,15850.61,0.92,87622,5,10 -929,R100 ,R147 ,15001.34,0.87,70197,5,10 -930,R100 ,R114 ,14711.92,0.86,67846,5,10 -931,R100 ,R102 ,15310.65,0.89,75660,5,10 -935,R300 ,R377 ,17339.27,1.01,64122,9,10 -936,R300 ,R377 ,16544.2,0.96,79521,9,10 -937,R200 ,R212 ,20063.99,1.17,85010,9,10 -938,R200 ,R218 ,13301.26,0.78,80066,9,10 -939,R200 ,R248 ,16711.96,0.97,80185,9,10 -940,R200 ,R205 ,16258.42,0.95,79973,9,10 -941,R200 ,R245 ,16124.66,0.94,67592,9,10 -942,R100 ,R116 ,38219.99,2.23,96940,5,10 -943,R100 ,R147 ,18371.27,1.07,75469,5,10 -945,R100 ,R134 ,11838.7,0.69,59155,5,10 -947,R300 ,R352 ,8226.42,0.48,79824,6,10 -949,R200 ,R237 ,17603.78,1.03,85097,9,10 -950,R300 ,R379 ,13406.43,0.78,80012,9,10 -952,R300 ,R378 ,11938.23,0.7,66270,6,10 -953,R300 ,R304 ,10603.24,0.62,56116,6,10 -955,R300 ,R311 ,19753.34,1.15,74365,6,10 -957,R100 ,R115 ,11458.47,0.67,73816,5,10 -958,R300 ,R333 ,10952.48,0.64,56754,4,10 -959,R300 ,R333 ,9755.63,0.57,56667,4,10 -961,R300 ,R372 ,17747.27,1.04,81510,4,10 -962,R300 ,R371 ,11205.51,0.65,70079,4,10 -963,R300 ,R350 ,11458.97,0.67,58489,4,10 -964,R300 ,R371 ,11376.51,0.66,70045,4,10 -966,R300 ,R362 ,9217.09,0.54,62214,4,10 -967,R300 ,R315 ,14439.93,0.84,70385,4,10 -968,R300 ,R349 ,20125.68,1.17,83082,4,10 -969,R300 ,R334 ,9875.95,0.58,57011,4,10 -970,R300 ,R335 ,14499.95,0.85,75908,4,10 -981,R300 ,R334 ,13241.83,0.77,79540,4,10 -982,R300 ,R335 ,11540.62,0.67,74821,4,10 -984,R100 ,R171 ,14974.6,0.87,68595,5,10 -985,R100 ,R174 ,14832.65,0.87,75672,5,10 -986,R100 ,R171 ,11025.8,0.64,57584,5,10 -988,R100 ,R170 ,12355.24,0.72,63054,5,10 -989,R100 ,R169 ,11680.45,0.68,58275,5,10 -990,R100 ,R169 ,10210.04,0.6,57146,5,10 -992,R100 ,R117 ,14328.27,0.84,65440,7,10 -993,R300 ,R364 ,13744.05,0.8,74276,6,10 -995,R200 ,R264 ,20885.95,1.22,82546,10,10 -996,R200 ,R265 ,16589.49,0.97,75233,10,10 -997,R200 ,R201 ,15421.41,0.9,84558,9,10 -1000,R400 ,R411 ,14057.39,0.82,74789,3,10 -1001,R400 ,R411 ,13268.69,0.77,87398,3,10 -1002,R400 ,R411 ,16054.98,0.94,84630,3,10 -1003,R400 ,R415 ,14109.36,0.82,82540,3,10 -1004,R400 ,R415 ,11784.21,0.69,79136,3,10 -1005,R400 ,R466 ,12042.22,0.7,68204,3,10 -1006,R400 ,R412 ,17199.14,1,82372,3,10 -1007,R400 ,R448 ,14373.35,0.84,82088,3,10 -1008,R400 ,R415 ,13985.06,0.82,83379,3,10 -1009,R400 ,R441 ,14171.18,0.83,74705,3,10 -1010,R400 ,R416 ,14718.4,0.86,82060,2,10 -1011,R400 ,R416 ,12925.4,0.75,75375,2,10 -1012,R400 ,R416 ,11941.58,0.7,74898,2,10 -1013,R400 ,R416 ,13957.03,0.81,74932,2,10 -1014,R400 ,R416 ,11156.08,0.65,75024,2,10 -1015,R300 ,R371 ,15384.24,0.9,71263,4,10 -1016,R400 ,R417 ,13455.75,0.78,75665,3,10 -1017,R400 ,R417 ,12332.08,0.72,69990,3,10 -1018,R400 ,R417 ,20712.37,1.21,82804,3,10 -1019,R400 ,R417 ,11427,0.67,83081,3,10 -1021,R300 ,R370 ,14852.7,0.87,76304,3,10 -1022,R300 ,R371 ,13437.58,0.78,57277,4,10 -1023,R300 ,R354 ,15593.41,0.91,85795,4,10 -1024,R100 ,R115 ,21665.05,1.26,84615,5,10 -1025,R200 ,R246 ,13903.17,0.81,81194,9,10 -1026,R200 ,R247 ,12856.44,0.75,75357,9,10 -1027,R200 ,R240 ,21268.54,1.24,81889,9,10 -1028,R200 ,R217 ,15093.6,0.88,83790,9,10 -1029,R200 ,R231 ,23800.31,1.39,87063,9,10 -1030,R300 ,R332 ,15032.77,0.88,82969,4,10 -1031,R100 ,R167 ,21315.47,1.24,83823,7,10 -1032,R300 ,R352 ,9621.68,0.56,79793,6,10 -1033,R200 ,R263 ,13752.57,0.8,74564,9,10 -1034,R300 ,R378 ,15048.36,0.88,80008,6,10 -1035,R100 ,R118 ,16421.83,0.96,79010,7,10 -1036,R100 ,R150 ,15931.75,0.93,75424,5,10 -1037,R100 ,R172 ,13312.31,0.78,72938,5,10 -1038,R300 ,R367 ,20952.9,1.22,82276,4,10 -1039,R300 ,R349 ,21585.09,1.26,75780,4,10 -1040,R200 ,R261 ,17256.26,1.01,82212,9,10 -1041,R400 ,R417 ,13848.16,0.81,83308,3,10 -1042,R400 ,R448 ,22541.27,1.31,74488,3,10 -1043,R400 ,R411 ,9674.19,0.56,57629,3,10 -1044,R400 ,R448 ,18648.55,1.09,74381,3,10 -1045,R400 ,R411 ,12697.34,0.74,57680,3,10 -1046,R400 ,R448 ,15008.95,0.88,74546,3,10 -1047,R300 ,R370 ,17068.33,1,84460,3,10 -1048,R300 ,R370 ,12571.53,0.73,89661,3,10 -1049,R400 ,R417 ,19411.15,1.13,83480,3,10 -1050,R300 ,R360 ,13629.29,0.79,78543,4,10 -1051,R300 ,R354 ,14358.95,0.84,57784,4,10 -1052,R100 ,R136 ,13649.62,0.8,83128,5,10 -1053,R300 ,R360 ,10981.1,0.64,81251,4,10 -1054,R200 ,R210 ,16034.08,0.94,79288,9,10 -1055,R400 ,R419 ,15761.67,0.92,74162,2,10 -1056,R400 ,R467 ,19275.98,1.12,81604,2,10 -1057,R400 ,R416 ,19422.2,1.13,85123,2,10 -1058,R100 ,R169 ,26827.81,1.56,77525,5,10 -1059,R300 ,R333 ,11100.21,0.65,76026,4,10 -1060,R100 ,R146 ,18741.09,1.09,85682,5,10 -1061,R300 ,R322 ,27634.12,1.61,77934,6,10 -1062,R200 ,R245 ,19180.99,1.12,84643,9,10 -1063,R100 ,R138 ,15725.63,0.92,75663,5,10 -1064,R200 ,R265 ,11304.91,0.66,56919,10,10 -1065,R300 ,R302 ,8036.52,0.47,78622,6,10 -1066,R300 ,R341 ,10094.74,0.59,82977,6,10 -1068,R100 ,R111 ,11222.77,0.65,54672,5,10 -1069,R100 ,R146 ,13950.53,0.81,85092,5,10 -1070,R100 ,R150 ,11085.66,0.65,58193,5,10 -1071,R100 ,R168 ,14238.13,0.83,79308,4,10 -1072,R100 ,R169 ,20588.88,1.2,84598,5,10 -1073,R300 ,R336 ,10449.04,0.61,55976,4,10 -1074,R300 ,R367 ,15783.12,0.92,75181,4,10 -1075,R300 ,R349 ,11196.88,0.65,74087,4,10 -1076,R400 ,R412 ,22054.33,1.29,79882,3,10 -1077,R300 ,R358 ,12022.74,0.7,75830,4,10 -1078,R300 ,R358 ,12216.56,0.71,80443,4,10 -1079,R300 ,R358 ,10462.42,0.61,57122,4,10 -1080,R300 ,R372 ,12041.19,0.7,79206,4,10 -1081,R300 ,R362 ,10805.16,0.63,78940,4,10 -1082,R100 ,R178 ,13987.89,0.82,56530,10,10 -1083,R400 ,R451 ,10262.03,0.6,78939,2,10 -1084,R400 ,R419 ,14913.21,0.87,73647,2,10 -1085,R400 ,R422 ,17797.87,1.04,76086,2,10 -1086,R300 ,R358 ,14044.87,0.82,79541,4,10 -1087,R300 ,R355 ,14673.58,0.86,80952,4,10 -1088,R400 ,R441 ,18484.7,1.08,81178,3,10 -1090,R300 ,R337 ,15288.34,0.89,84845,4,10 -1091,R100 ,R172 ,14574.08,0.85,81192,5,10 -1092,R100 ,R172 ,16969.16,0.99,83984,5,10 -1094,R100 ,R168 ,13793.7,0.8,78733,4,10 -1095,R100 ,R126 ,14865.29,0.87,82374,5,10 -1096,R100 ,R111 ,12782.47,0.75,66120,5,10 -1097,R200 ,R208 ,14637.24,0.85,67586,9,10 -1098,R200 ,R220 ,13887.15,0.81,83914,9,10 -1100,R200 ,R240 ,21448.34,1.25,83303,9,10 -1101,R100 ,R117 ,14793.07,0.86,78536,7,10 -1102,R100 ,R118 ,23101.55,1.35,87697,7,10 -1103,R300 ,R370 ,25616.65,1.49,84246,3,10 -1104,R300 ,R371 ,11324.7,0.66,78459,4,10 -1105,R300 ,R370 ,12581.38,0.73,79341,3,10 -1106,R300 ,R334 ,11322.44,0.66,78249,4,10 -1107,R300 ,R371 ,14886.03,0.87,79096,4,10 -1108,R400 ,R424 ,11003.09,0.64,73761,2,10 -1109,R400 ,R450 ,14145,0.83,79394,2,10 -1110,R300 ,R310 ,12190.37,0.71,78641,4,10 -1112,R100 ,R170 ,14990.05,0.87,77496,5,10 -1113,R100 ,R127 ,20601.29,1.2,78812,7,10 -1114,R100 ,R167 ,13789.7,0.8,83990,6,10 -1115,R300 ,R304 ,12955.25,0.76,78319,6,10 -1116,R300 ,R306 ,10543.9,0.61,79008,6,10 -1117,R300 ,R378 ,13617.13,0.79,78255,6,10 -1118,R200 ,R264 ,22466.87,1.31,79799,10,10 -1120,R200 ,R240 ,13126.34,0.77,70788,9,10 -1121,R200 ,R220 ,22210.7,1.3,83934,9,10 -1122,R200 ,R210 ,18475.35,1.08,81029,9,10 -1124,R300 ,R364 ,12002.15,0.7,79023,6,10 -1125,R100 ,R112 ,12638.07,0.74,62204,5,10 -1126,R300 ,R333 ,13139.84,0.77,78886,4,10 -1128,R100 ,R173 ,14548.73,0.85,80305,5,10 -1129,R100 ,R173 ,13539.23,0.79,79721,5,10 -1131,R300 ,R354 ,14374.63,0.84,78799,4,10 -1132,R400 ,R422 ,14373.61,0.84,84626,2,10 -1133,R400 ,R422 ,14022.38,0.82,79655,2,10 -1134,R400 ,R453 ,15159.2,0.88,78859,3,10 -1135,R400 ,R462 ,19665.56,1.15,85269,3,10 -1136,R400 ,R453 ,13097.71,0.76,78977,3,10 -1137,R400 ,R448 ,15243.67,0.89,78353,3,10 -1138,R400 ,R448 ,17921.49,1.05,85901,3,10 -1139,R400 ,R455 ,27999.72,1.63,89058,2,10 -1140,R200 ,R201 ,16988.81,0.99,80860,9,10 -1141,R300 ,R377 ,12812.43,0.75,79106,9,10 -1142,R400 ,R411 ,15035.9,0.88,82658,3,10 -1143,R200 ,R245 ,12793.1,0.75,79506,9,10 -1144,R100 ,R124 ,21673.35,1.26,81623,5,10 -1146,R400 ,R453 ,33031.59,1.93,80804,3,10 -1147,R400 ,R455 ,14760.76,0.86,79867,2,10 -1148,R400 ,R424 ,13470.5,0.79,81984,2,10 -1150,R400 ,R469 ,25788.59,1.5,83349,2,10 -1151,R400 ,R450 ,15274.37,0.89,79397,2,10 -1152,R400 ,R419 ,13937.29,0.81,79011,2,10 -1153,R400 ,R450 ,23008.64,1.34,84564,2,10 -1154,R400 ,R450 ,16797.18,0.98,78819,2,10 -1155,R400 ,R419 ,13177.32,0.77,80978,2,10 -1156,R400 ,R467 ,17689.87,1.03,79459,2,10 -1157,R400 ,R416 ,13734.36,0.8,79557,2,10 -1158,R400 ,R422 ,13956.47,0.81,79348,2,10 -1159,R400 ,R421 ,18608.6,1.09,82152,3,10 -1160,R400 ,R430 ,11125.02,0.65,62480,3,10 -1161,R300 ,R370 ,13171.81,0.77,79065,3,10 -1162,R400 ,R457 ,14130.48,0.82,79301,3,10 -1163,R300 ,R318 ,18493.36,1.08,84345,4,10 -1164,R300 ,R336 ,10590.98,0.62,78743,4,10 -1165,R300 ,R334 ,12077.48,0.7,79712,4,10 -1166,R100 ,R150 ,14064.14,0.82,78521,5,10 -1167,R100 ,R112 ,17379.38,1.01,80765,5,10 -1168,R100 ,R112 ,18790.14,1.1,81642,5,10 -1169,R300 ,R332 ,11280.83,0.66,78478,4,10 -1170,R100 ,R105 ,15595.7,0.91,78914,7,10 -1171,R300 ,R380 ,17415.95,1.02,82328,9,10 -1172,R300 ,R336 ,9759.44,0.57,62950,4,10 -1175,R400 ,R446 ,18480.61,1.08,76110,2,10 -1176,R100 ,R112 ,17171.21,1,77791,5,10 -1177,R100 ,R123 ,15118.3,0.88,79774,7,10 -1178,R100 ,R176 ,12340.5,0.72,78861,8,10 -1179,R300 ,R340 ,15139.54,0.88,78851,4,10 -1180,R300 ,R358 ,13044.07,0.76,79698,4,10 -1181,R300 ,R362 ,10450.84,0.61,79400,4,10 -1182,R300 ,R337 ,16836.04,0.98,79479,4,10 -1183,R400 ,R462 ,13107.52,0.76,79279,3,10 -1184,R400 ,R450 ,9849.95,0.57,80286,2,10 -1185,R100 ,R126 ,17363.88,1.01,81612,5,10 -1186,R400 ,R452 ,15409.89,0.9,74371,1,10 -1187,R400 ,R452 ,20348.66,1.19,77961,1,10 -1188,R400 ,R428 ,13428.24,0.78,79648,1,10 -1189,R400 ,R428 ,14250.59,0.83,79736,1,10 -1190,R400 ,R470 ,12793.33,0.75,79611,1,10 -1191,R400 ,R424 ,12364.48,0.72,80719,2,10 -1192,R400 ,R450 ,14769.51,0.86,74289,2,10 -1193,R400 ,R448 ,19389.97,1.13,85733,3,10 -1194,R400 ,R416 ,13524.5,0.79,80037,2,10 -1195,R400 ,R467 ,14231.23,0.83,80267,2,10 -1196,R400 ,R421 ,15065.12,0.88,80017,3,10 -1197,R300 ,R335 ,21077.27,1.23,80742,4,10 -1198,R300 ,R337 ,13790.65,0.8,79458,4,10 -1199,R300 ,R337 ,12523.74,0.73,79304,4,10 -1200,R100 ,R172 ,13295.01,0.78,79646,4,10 -1201,R100 ,R123 ,13544,0.79,81430,7,10 -1204,R300 ,R327 ,11405.33,0.67,79878,6,10 -1205,R200 ,R262 ,14477.44,0.84,80534,10,10 -1206,R300 ,R346 ,14214.46,0.83,80243,4,10 -1207,R300 ,R373 ,20865.33,1.22,82256,9,10 -1208,R200 ,R211 ,22029.06,1.28,82114,9,10 -1209,R300 ,R379 ,14094.86,0.82,80224,9,10 -1210,R100 ,R131 ,10714.23,0.62,79360,5,10 -1211,R100 ,R111 ,14078.84,0.82,80387,5,10 -1212,R100 ,R128 ,14011.98,0.82,63259,5,10 -1213,R100 ,R121 ,12974.21,0.76,79146,5,10 -1214,R100 ,R140 ,8109.67,0.47,79013,5,10 -1215,R100 ,R174 ,10601.42,0.62,79046,5,10 -1216,R400 ,R454 ,14410.69,0.84,79294,3,10 -1217,R400 ,R430 ,16143.12,0.94,80165,3,10 -1218,R400 ,R430 ,11138.91,0.65,79979,3,10 -1219,R400 ,R454 ,15455.74,0.9,79945,3,10 -1220,R400 ,R454 ,12999.54,0.76,79354,3,10 -1221,R400 ,R431 ,13904,0.81,79928,3,10 -1222,R400 ,R431 ,16531.44,0.96,80225,3,10 -1223,R300 ,R336 ,14408.13,0.84,80433,4,10 -1224,R400 ,R419 ,10164.62,0.59,81838,2,10 -1225,R400 ,R417 ,13041.87,0.76,80551,3,10 -1226,R300 ,R371 ,11064.58,0.65,63020,4,10 -1227,R400 ,R447 ,11871.08,0.69,79768,1,10 -1228,R400 ,R468 ,17561.85,1.02,80552,1,10 -1229,R400 ,R452 ,18859.41,1.1,83211,1,10 -1230,R100 ,R161 ,19998.5,1.17,79519,10,10 -1231,R300 ,R302 ,9206.64,0.54,79375,6,10 -1232,R400 ,R439 ,14797.27,0.86,87986,1,10 -1233,R400 ,R415 ,11725.46,0.68,62042,3,10 -1234,R400 ,R457 ,13125.97,0.77,79367,3,10 -1235,R100 ,R102 ,14789.14,0.86,78414,5,10 -1236,R100 ,R173 ,16660.4,0.97,81797,5,10 -1237,R100 ,R161 ,24438.29,1.43,78241,8,10 -1238,R200 ,R202 ,18677.19,1.09,79905,9,10 -1239,R200 ,R220 ,11286.18,0.66,79193,9,10 -1241,R100 ,R118 ,14363.32,0.84,79052,7,10 -1242,R300 ,R375 ,14528.31,0.85,81165,9,10 -1244,R100 ,R124 ,13415.1,0.78,81303,5,10 -1246,R100 ,R128 ,10999.6,0.64,63183,5,10 -1247,R100 ,R128 ,16005.53,0.93,83242,5,10 -1248,R100 ,R128 ,15318.3,0.89,79830,5,10 -1249,R400 ,R439 ,14685.61,0.86,81453,1,10 -1250,R300 ,R351 ,12324.57,0.72,80155,4,10 -1251,R100 ,R134 ,14639.79,0.85,81741,5,10 -1252,R100 ,R173 ,14030.26,0.82,81000,5,10 -1253,R400 ,R454 ,14300.85,0.83,81697,3,10 -1254,R400 ,R431 ,15113.43,0.88,80391,3,10 -1255,R400 ,R439 ,16585.27,0.97,81167,1,10 -1256,R400 ,R421 ,14669.22,0.86,82210,3,10 -1257,R400 ,R448 ,13004.29,0.76,63664,3,10 -1258,R400 ,R415 ,14006.86,0.82,80424,3,10 -1259,R400 ,R430 ,14837.91,0.87,80493,3,10 -1260,R400 ,R461 ,14254.66,0.83,79752,3,10 -1261,R100 ,R169 ,17535.15,1.02,80978,3,10 -1263,R400 ,R446 ,11517.84,0.67,71425,2,10 -1264,R400 ,R455 ,17426.34,1.02,82748,2,10 -1265,R400 ,R411 ,13676.07,0.8,80181,3,10 -1266,R400 ,R452 ,17968.16,1.05,83686,1,10 -1267,R400 ,R439 ,14506.19,0.85,80481,1,10 -1268,R400 ,R438 ,16958.27,0.99,79959,2,10 -1269,R400 ,R421 ,18921.78,1.1,82963,3,10 -1270,R400 ,R454 ,13033.07,0.76,78340,3,10 -1271,R400 ,R438 ,17143.28,1,80121,2,10 -1272,R100 ,R101 ,15188.72,0.89,80758,5,10 -1273,R300 ,R359 ,13815.79,0.81,79850,4,10 -1274,R300 ,R359 ,12682.06,0.74,78868,4,10 -1275,R400 ,R457 ,15737.15,0.92,80027,3,10 -1278,R100 ,R117 ,13831.31,0.81,79474,7,10 -1279,R100 ,R117 ,14764.1,0.86,81064,7,10 -1280,R100 ,R118 ,16188.82,0.94,80452,7,10 -1281,R400 ,R468 ,12969.39,0.76,81367,1,10 -1282,R100 ,R161 ,12354.55,0.72,56298,8,10 -1283,R200 ,R205 ,15097.95,0.88,79886,9,10 -1284,R200 ,R264 ,25793.89,1.5,82810,10,10 -1285,R100 ,R148 ,14530.65,0.85,80626,5,10 -1286,R100 ,R133 ,15769.99,0.92,80906,5,10 -1287,R100 ,R170 ,13921.28,0.81,81542,3,10 -1288,R400 ,R430 ,15454.86,0.9,80472,3,10 -1289,R400 ,R439 ,19364.94,1.13,81467,1,10 -1290,R400 ,R452 ,11960.35,0.7,63834,1,10 -1291,R400 ,R421 ,12250.01,0.71,80365,3,10 -1292,R400 ,R457 ,16208.91,0.95,79934,3,10 -1293,R200 ,R202 ,22852.88,1.33,85522,9,10 -1294,R300 ,R313 ,17682.77,1.03,79679,4,10 -1295,R400 ,R412 ,13334.85,0.78,79468,3,10 -1296,R400 ,R451 ,16585.17,0.97,79249,2,10 -1298,R300 ,R350 ,14447.75,0.84,79876,4,10 -1299,R300 ,R314 ,15354.12,0.9,79715,4,10 -1300,R300 ,R315 ,15217.94,0.89,80226,4,10 -1301,R100 ,R171 ,14515.28,0.85,80208,5,10 -1302,R300 ,R333 ,23175.96,1.35,79567,4,10 -1303,R100 ,R124 ,13451.41,0.78,81107,5,10 -1304,R200 ,R218 ,16774.45,0.98,81102,9,10 -1305,R200 ,R222 ,20472.84,1.19,86040,9,10 -1306,R200 ,R204 ,32559.93,1.9,91970,9,10 -1307,R200 ,R209 ,21987.41,1.28,83980,9,10 -1308,R400 ,R470 ,18482.67,1.08,83345,1,10 -1309,R200 ,R209 ,15277.8,0.89,81646,9,10 -1310,R300 ,R337 ,11012.4,0.64,79479,4,10 -1311,R100 ,R110 ,14029.58,0.82,82227,5,10 -1312,R400 ,R453 ,14622.92,0.85,80088,3,10 -1313,R100 ,R135 ,23476.69,1.37,86317,5,10 -1314,R100 ,R117 ,14457.01,0.84,80920,7,10 -1315,R400 ,R419 ,11562.07,0.67,80625,2,10 -1316,R300 ,R376 ,13610.25,0.79,80978,9,10 -1317,R100 ,R148 ,12925.82,0.75,81033,5,10 -1318,R400 ,R451 ,16736.78,0.98,78508,2,10 -1319,R300 ,R337 ,12855.22,0.75,80331,4,10 -1322,R300 ,R369 ,13086.18,0.76,79663,4,10 -1323,R100 ,R122 ,14305.24,0.83,95195,5,10 -1324,R100 ,R170 ,13496.36,0.79,81663,5,10 -1325,R100 ,R174 ,14430.11,0.84,81330,5,10 -1326,R100 ,R177 ,15237.48,0.89,79425,8,10 -1327,R300 ,R377 ,12630.56,0.74,80721,9,10 -1328,R200 ,R222 ,23358.4,1.36,81521,9,10 -1329,R200 ,R239 ,17148.27,1,82561,9,10 -1330,R400 ,R446 ,15806.71,0.92,80652,2,10 -1331,R200 ,R264 ,14018.96,0.82,81655,10,10 -1332,R200 ,R236 ,21445.53,1.25,82277,9,10 -1333,R100 ,R161 ,16263.73,0.95,79126,8,10 -1334,R100 ,R128 ,17864.74,1.04,80908,5,10 -1335,R300 ,R375 ,15171.29,0.88,80519,9,10 -1336,R300 ,R311 ,24842.32,1.45,95996,6,10 -1337,R300 ,R318 ,12336.16,0.72,85393,4,10 -1338,R400 ,R447 ,17778.52,1.04,80001,1,10 -1339,R300 ,R306 ,21062.07,1.23,93983,6,10 -1340,R200 ,R217 ,16611.88,0.97,84922,9,10 -1341,R400 ,R466 ,18120.18,1.06,81178,3,10 -1342,R100 ,R141 ,15531.83,0.91,81296,5,10 -1344,R400 ,R469 ,22846.31,1.33,82594,2,10 -1345,R400 ,R450 ,13408.56,0.78,80360,2,10 -1346,R300 ,R369 ,14549.77,0.85,94357,4,10 -1347,R300 ,R353 ,12193.9,0.71,94361,6,10 -1348,R400 ,R468 ,15041.11,0.88,80072,1,10 -1349,R300 ,R337 ,13841.34,0.81,79596,4,10 -1350,R100 ,R138 ,30718.17,1.79,95521,5,10 -1351,R100 ,R111 ,24733.96,1.44,100835,5,10 -1352,R100 ,R101 ,19718.35,1.15,94257,5,10 -1353,R100 ,R118 ,15134.69,0.88,84225,7,10 -1354,R300 ,R327 ,17198.42,1,94215,6,10 -1355,R200 ,R262 ,15925.03,0.93,80115,10,10 -1356,R100 ,R101 ,21051.73,1.23,103397,5,10 -1357,R300 ,R373 ,13590.44,0.79,79802,8,10 -1358,R400 ,R459 ,10900.3,0.64,77528,2,10 -1359,R300 ,R311 ,14125.21,0.82,95097,6,10 -1360,R300 ,R377 ,18079.46,1.05,85527,9,10 -1361,R300 ,R375 ,13041.25,0.76,82293,9,10 -1362,R200 ,R236 ,31221.44,1.82,85097,9,10 -1363,R200 ,R220 ,16885.45,0.98,85327,9,10 -1364,R100 ,R140 ,15796.29,0.92,95279,5,10 -1365,R400 ,R422 ,16904.97,0.99,79025,2,10 -1366,R100 ,R138 ,19422.64,1.13,95278,5,10 -1367,R300 ,R369 ,21935.64,1.28,95279,4,10 -1368,R300 ,R321 ,15959.63,0.93,95107,6,10 -1369,R300 ,R353 ,20938.86,1.22,97765,6,10 -1370,R300 ,R351 ,21402.18,1.25,94830,4,10 -1371,R300 ,R355 ,18402.2,1.07,78748,4,10 -1372,R100 ,R175 ,18704.56,1.09,98021,8,10 -1373,R400 ,R460 ,12884.8,0.75,80056,1,10 -1374,R400 ,R428 ,15221.4,0.89,80795,1,10 -1375,R100 ,R126 ,18618.96,1.09,83566,5,10 -1376,R300 ,R359 ,17153.75,1,94993,4,10 -1377,R300 ,R303 ,14410.68,0.84,95711,6,10 -1378,R400 ,R450 ,19715.08,1.15,85219,2,10 -1380,R300 ,R346 ,47074.8,2.75,79595,4,10 -1381,R100 ,R171 ,12612.89,0.74,80521,5,10 -1382,R300 ,R314 ,34903.38,2.04,94993,4,10 -1383,R200 ,R244 ,15240.51,0.89,85622,9,10 -1384,R200 ,R250 ,34506.5,2.01,85650,9,10 -1385,R100 ,R112 ,15226.12,0.89,80772,5,10 -1386,R300 ,R374 ,14175.13,0.83,80878,9,10 -1388,R100 ,R123 ,13260.85,0.77,80152,7,10 -1389,R400 ,R422 ,13918.33,0.81,81639,2,10 -1390,R300 ,R346 ,15809.78,0.92,79934,4,10 -1391,R300 ,R350 ,15032.69,0.88,79377,4,10 -1392,R100 ,R123 ,31337.39,1.83,95000,7,10 -1393,R100 ,R172 ,13678.93,0.8,79856,5,10 -1394,R300 ,R335 ,14994.85,0.87,95605,4,10 -1395,R300 ,R326 ,13013.86,0.76,95743,6,10 -1396,R300 ,R303 ,17825.5,1.04,95078,6,10 -1397,R300 ,R301 ,15724.42,0.92,94846,6,10 -1398,R300 ,R301 ,24879.51,1.45,94864,6,10 -1399,R300 ,R353 ,14691.16,0.86,79472,6,10 -1400,R300 ,R336 ,13578.61,0.79,95628,4,10 -1401,R400 ,R469 ,17203.32,1,84844,2,10 -1402,R100 ,R115 ,13736.85,0.8,79895,5,10 -1403,R100 ,R115 ,13620.81,0.79,84794,5,10 -1404,R400 ,R428 ,13940.57,0.81,79683,1,10 -1405,R200 ,R260 ,13101.65,0.76,79864,10,10 -1406,R200 ,R260 ,15898.42,0.93,78002,10,10 -1407,R200 ,R210 ,20547.2,1.2,76106,9,10 -1408,R200 ,R236 ,27562.74,1.61,77741,9,10 -1409,R200 ,R207 ,27878.23,1.63,84687,9,10 -1410,R200 ,R201 ,32452.36,1.89,88936,9,10 -1411,R200 ,R263 ,16017.4,0.93,79155,9,10 -1413,R100 ,R175 ,15207.33,0.89,85438,8,10 -1414,R400 ,R430 ,13957.06,0.81,77501,3,10 -1415,R400 ,R448 ,18922.65,1.1,82904,3,10 -1416,R400 ,R441 ,14708.29,0.86,80098,3,10 -1417,R200 ,R213 ,15727.61,0.92,81041,9,10 -1418,R200 ,R244 ,16708.99,0.97,78174,9,10 -1419,R200 ,R260 ,18432.1,1.08,81868,10,10 -1420,R300 ,R370 ,11546.59,0.67,62802,3,10 -1421,R200 ,R260 ,17185.44,1,79427,9,10 -1422,R200 ,R237 ,20517.5,1.2,78465,9,10 -1423,R200 ,R206 ,13769.65,0.8,77332,9,10 -1424,R200 ,R217 ,19904.37,1.16,80465,9,10 -1425,R200 ,R263 ,20894.31,1.22,78662,9,10 -1426,R200 ,R237 ,18938.16,1.1,79716,9,10 -1427,R200 ,R233 ,20566.2,1.2,88324,9,10 -1428,R200 ,R211 ,19987.72,1.17,78509,9,10 -1429,R300 ,R379 ,12286.66,0.72,80337,9,10 -1430,R300 ,R326 ,12633.06,0.74,94626,6,10 -1431,R400 ,R441 ,26944.05,1.57,90013,3,10 -1432,R300 ,R377 ,13568.45,0.79,79816,9,10 -1435,R300 ,R364 ,15195.82,0.89,81361,6,10 -1436,R100 ,R144 ,22996.24,1.34,78564,7,10 -1437,R100 ,R141 ,20784.42,1.21,92520,5,10 -1438,R200 ,R247 ,11378.66,0.66,59126,9,10 -1439,R300 ,R376 ,16151.14,0.94,79653,9,10 -1441,R400 ,R429 ,11597.57,0.68,60789,1,10 -1442,R400 ,R429 ,31402.58,1.83,90993,1,10 -1443,R400 ,R462 ,19582.85,1.14,73075,3,10 -1444,R200 ,R258 ,41456.43,2.42,79606,10,10 -1445,R100 ,R133 ,21046.09,1.23,94300,5,10 -1446,R100 ,R133 ,12958.75,0.76,77910,5,10 -1447,R100 ,R172 ,13750.87,0.8,79846,5,10 -1448,R100 ,R124 ,20413.45,1.19,94866,5,10 -1449,R300 ,R331 ,19998.13,1.17,82829,6,10 -1450,R300 ,R331 ,15567.47,0.91,79546,6,10 -1451,R300 ,R331 ,13618.26,0.79,79783,6,10 -1452,R300 ,R337 ,13203.65,0.77,80883,4,10 -1453,R300 ,R346 ,16843.49,0.98,80290,4,10 -1454,R300 ,R320 ,15849.37,0.92,80019,4,10 -1455,R100 ,R123 ,19161.4,1.12,94722,7,10 -1456,R100 ,R124 ,17681.74,1.03,94306,5,10 -1457,R300 ,R304 ,11364.39,0.66,94628,6,10 -1458,R300 ,R304 ,17584.32,1.03,94658,6,10 -1459,R300 ,R303 ,18111.48,1.06,94434,6,10 -1460,R100 ,R145 ,11495.93,0.67,79898,5,10 -1461,R300 ,R346 ,14904.54,0.87,94871,4,10 -1462,R300 ,R373 ,14882.73,0.87,83934,9,10 -1463,R100 ,R171 ,15408.63,0.9,80236,5,10 -1464,R400 ,R461 ,11662.73,0.68,80767,2,10 -1465,R100 ,R137 ,16060.82,0.94,80600,5,10 -1466,R100 ,R134 ,15546.77,0.91,80184,5,10 -1467,R400 ,R419 ,15155.51,0.88,80047,2,10 -1468,R300 ,R348 ,18186.62,1.06,82108,4,10 -1469,R300 ,R353 ,61312.57,3.58,80610,6,10 -1470,R100 ,R167 ,16364.57,0.95,79786,6,10 -1471,R100 ,R175 ,15954.86,0.93,95756,8,10 -1472,R200 ,R211 ,13471.26,0.79,77852,9,10 -1473,R300 ,R353 ,19010.14,1.11,95348,6,10 -1474,R400 ,R461 ,15159.92,0.88,79873,3,10 -1475,R400 ,R467 ,13767,0.8,80833,2,10 -1476,R400 ,R467 ,14527.01,0.85,79280,2,10 -1477,R400 ,R438 ,15080.73,0.88,79713,2,10 -1478,R100 ,R169 ,13882.8,0.81,79796,3,10 -1479,R100 ,R168 ,12891.86,0.75,79728,4,10 -1480,R300 ,R367 ,13070.76,0.76,80034,4,10 -1481,R100 ,R140 ,19755.47,1.15,84260,5,10 -1482,R100 ,R136 ,14472.82,0.84,80809,5,10 -1483,R100 ,R128 ,14561.18,0.85,79837,5,10 -1484,R100 ,R163 ,18753.39,1.09,94822,5,10 -1485,R200 ,R231 ,18068.32,1.05,80187,9,10 -1486,R300 ,R335 ,18023.41,1.05,84388,4,10 -1487,R100 ,R144 ,20972.67,1.22,84348,7,10 -1489,R300 ,R302 ,12780.93,0.75,94372,6,10 -1490,R300 ,R305 ,13568.24,0.79,79570,6,10 -1491,R400 ,R446 ,16934.42,0.99,79942,2,10 -1492,R400 ,R467 ,14625.56,0.85,79907,2,10 -1493,R300 ,R350 ,16529.17,0.96,81017,4,10 -1495,R400 ,R428 ,14986.81,0.87,79343,1,10 -1496,R400 ,R468 ,13230.69,0.77,78045,1,10 -1497,R300 ,R315 ,11006.6,0.64,79928,4,10 -1499,R300 ,R340 ,14006.27,0.82,80166,4,10 -1500,R100 ,R179 ,20110.3,1.17,94844,8,10 -1501,R100 ,R177 ,20363.69,1.19,94939,8,10 -1502,R200 ,R208 ,21349.7,1.25,85173,9,10 -1504,R300 ,R372 ,19012.51,1.11,94142,4,10 -1505,R300 ,R362 ,20788.14,1.21,94433,4,10 -1506,R300 ,R321 ,28557.96,1.67,79612,6,10 -1507,R200 ,R211 ,10823.89,0.63,82990,9,10 -1508,R400 ,R467 ,17396.41,1.01,79605,2,10 -1509,R100 ,R117 ,18392.96,1.07,79962,7,10 -1510,R400 ,R461 ,11503.86,0.67,85690,3,10 -1511,R300 ,R333 ,18266.55,1.07,80047,4,10 -1512,R300 ,R367 ,18369.17,1.07,94925,4,10 -1513,R100 ,R168 ,12302.6,0.72,79288,4,10 -1514,R300 ,R321 ,11305.94,0.66,94433,6,10 -1515,R100 ,R117 ,17495.95,1.02,82714,7,10 -1516,R400 ,R468 ,10656.16,0.62,79472,1,10 -1517,R300 ,R321 ,13371.28,0.78,94433,6,10 -1518,R300 ,R365 ,17623.12,1.03,91271,4,10 -1519,R300 ,R324 ,16814.27,0.98,94293,4,10 -1520,R400 ,R447 ,13936.58,0.81,79488,1,10 -1521,R400 ,R438 ,13481.91,0.79,79709,2,10 -1522,R100 ,R111 ,12006.22,0.7,79527,5,10 -1523,R300 ,R327 ,14753.24,0.86,94693,6,10 -1524,R300 ,R380 ,18225.45,1.06,84745,9,10 -1525,R100 ,R179 ,17651.41,1.03,79686,8,10 -1526,R200 ,R218 ,15836.53,0.92,79652,9,10 -1527,R200 ,R246 ,13418.91,0.78,79960,9,10 -1528,R400 ,R459 ,12496,0.73,79482,1,10 -1529,R300 ,R350 ,13856.34,0.81,79914,4,10 -1530,R100 ,R138 ,14005.68,0.82,78964,5,10 -1531,R300 ,R306 ,12549.21,0.73,85562,6,10 -1532,R400 ,R468 ,14153.75,0.83,79596,1,10 -1533,R400 ,R441 ,13093.09,0.76,79856,3,10 -1534,R100 ,R172 ,14811.02,0.86,81127,5,10 -1535,R300 ,R303 ,11991.54,0.7,79278,6,10 -1536,R300 ,R306 ,13411.79,0.78,94415,6,10 -1537,R100 ,R107 ,13158.31,0.77,79801,7,10 -1538,R100 ,R123 ,13557.97,0.79,79756,7,10 -1539,R100 ,R117 ,17090.09,1,79948,5,10 -1540,R100 ,R161 ,20973.79,1.22,78853,8,10 -1541,R400 ,R411 ,12628.49,0.74,80594,3,10 -1542,R300 ,R341 ,11343.29,0.66,78324,6,10 -1543,R100 ,R144 ,11447.45,0.67,79848,7,10 -1544,R400 ,R459 ,18982.28,1.11,86453,1,10 -1545,R100 ,R172 ,13674.89,0.8,80832,5,10 -1546,R300 ,R336 ,13927.83,0.81,81677,4,10 -1547,R200 ,R240 ,16454.87,0.96,79638,9,10 -1548,R200 ,R232 ,14052.03,0.82,80193,9,10 -1750,R100 ,R178 ,16773.24,0.98,86701,8,10 -1751,R100 ,R178 ,25765.46,1.5,96518,8,10 -1752,R100 ,R178 ,23523.94,1.37,90711,8,10 -1753,R100 ,R178 ,17863.16,1.04,86804,8,10 -1754,R100 ,R178 ,30769.6,1.79,95329,8,10 -1755,R100 ,R178 ,19087.56,1.11,93951,8,10 -1756,R100 ,R144 ,22257.67,1.3,94759,7,10 -1757,R100 ,R144 ,18282.25,1.07,99554,7,10 -1759,R100 ,R144 ,14250.34,0.83,105819,7,10 -1760,R300 ,R365 ,22732.47,1.33,95022,4,10 -1761,R300 ,R334 ,15610.46,0.91,114596,4,10 -1762,R100 ,R138 ,17159.27,1,115418,5,10 -1763,R300 ,R326 ,13275.82,0.77,114551,6,10 -1764,R300 ,R326 ,17831.69,1.04,95616,6,10 -1765,R300 ,R342 ,15134.86,0.88,95689,6,10 -1766,R300 ,R321 ,10585.66,0.62,97674,6,10 -1767,R100 ,R105 ,19927.12,1.16,114575,7,10 -1768,R100 ,R127 ,21937.37,1.28,94945,7,10 -1769,R100 ,R176 ,19421.32,1.13,95171,8,10 -1770,R300 ,R342 ,14799.48,0.86,96337,6,10 -1771,R100 ,R127 ,15920.12,0.93,90966,7,10 -1772,R300 ,R340 ,19001.11,1.11,93637,4,10 -1773,R300 ,R340 ,15456.68,0.9,93900,4,10 -1774,R100 ,R111 ,18948.96,1.11,91645,5,10 -1775,R300 ,R326 ,12125.78,0.71,94203,6,10 -1776,R100 ,R179 ,24149.73,1.41,104154,8,10 -1777,R100 ,R107 ,20862.76,1.22,106299,7,10 -1780,R300 ,R334 ,14634.57,0.85,105923,4,10 -1782,R100 ,R129 ,17875.93,1.04,94771,6,10 -1783,R100 ,R143 ,28589.57,1.67,96198,8,10 -1784,R300 ,R352 ,17720.69,1.03,99779,6,10 -1785,R300 ,R327 ,12582.66,0.73,106014,6,10 -1786,R300 ,R311 ,17185.12,1,106365,6,10 -1787,R300 ,R340 ,23508.66,1.37,95013,4,10 -1788,R100 ,R140 ,15308.04,0.89,94299,5,10 -1789,R100 ,R140 ,15136.51,0.88,94300,5,10 -1790,R300 ,R365 ,12762.2,0.74,95242,4,10 -1791,R100 ,R105 ,22070.27,1.29,94718,7,10 -1792,R100 ,R127 ,15316.64,0.89,93817,7,10 -1793,R300 ,R355 ,17968.3,1.05,79483,4,10 -1794,R300 ,R372 ,12133.4,0.71,83246,4,10 -1795,R300 ,R313 ,15159.33,0.88,94246,4,10 -1796,R400 ,R438 ,14209.43,0.83,81114,2,10 -1797,R300 ,R341 ,11456.25,0.67,94441,6,10 -1798,R400 ,R459 ,19742.26,1.15,83870,2,10 -1799,R100 ,R150 ,14874.78,0.87,81010,5,10 -1800,R100 ,R143 ,20985.04,1.22,84973,7,10 -1801,R100 ,R150 ,20024.08,1.17,94203,5,10 -1802,R400 ,R439 ,12412.8,0.72,81304,1,10 -1803,R400 ,R452 ,9338.3,0.54,60555,1,10 -1804,R100 ,R170 ,17151.46,1,85860,5,10 -1805,R200 ,R250 ,18451.28,1.08,84906,9,10 -1806,R100 ,R175 ,41996.76,2.45,100176,8,10 -1807,R300 ,R362 ,13394.1,0.78,79707,4,10 -1808,R400 ,R451 ,20509.07,1.2,77582,2,10 -1809,R400 ,R462 ,13882.08,0.81,84651,3,10 -1811,R300 ,R302 ,11217.03,0.65,79484,6,10 -1812,R300 ,R322 ,12568.03,0.73,79062,6,10 -1813,R100 ,R176 ,14444.1,0.84,80168,8,10 -1814,R100 ,R178 ,20852.4,1.22,79720,8,10 -1815,R200 ,R201 ,14787.12,0.86,79263,9,10 -1816,R200 ,R201 ,12240.58,0.71,79941,9,10 -1818,R400 ,R424 ,10957.5,0.64,79808,2,10 -1819,R200 ,R247 ,16986.94,0.99,84587,9,10 -1820,R300 ,R314 ,20989.38,1.22,94933,4,10 -1821,R100 ,R144 ,16587.3,0.97,80224,7,10 -1822,R400 ,R446 ,19931.96,1.16,82510,2,10 -1823,R400 ,R450 ,14976.72,0.87,79982,2,10 -1824,R300 ,R371 ,12920.74,0.75,80565,4,10 -1825,R300 ,R340 ,13347.57,0.78,79593,4,10 -1826,R300 ,R372 ,15716.27,0.92,94925,4,10 -1827,R400 ,R441 ,13591.57,0.79,84993,3,10 -1828,R400 ,R454 ,12540.36,0.73,79270,3,10 -1829,R300 ,R350 ,13630.58,0.8,80245,4,10 -1830,R400 ,R438 ,12367.52,0.72,80374,2,10 -1831,R100 ,R124 ,21141.71,1.23,95562,5,10 -1832,R100 ,R124 ,23621.85,1.38,96302,5,10 -1833,R100 ,R101 ,19920.1,1.16,95199,5,10 -1834,R200 ,R206 ,18203.97,1.06,79823,9,10 -1835,R400 ,R468 ,16198.49,0.94,79307,1,10 -1836,R300 ,R306 ,13824.79,0.81,94702,6,10 -1837,R300 ,R303 ,22022.48,1.28,94604,6,10 -1838,R300 ,R379 ,15196.1,0.89,84238,9,10 -1839,R400 ,R439 ,17488.48,1.02,77649,1,10 -1840,R100 ,R123 ,14105.68,0.82,94868,7,10 -1841,R100 ,R170 ,14982.58,0.87,80132,5,10 -1842,R100 ,R144 ,13679.32,0.8,80824,7,10 -1843,R200 ,R232 ,13696.45,0.8,80081,9,10 -1845,R400 ,R461 ,14200.1,0.83,79798,3,10 -1846,R200 ,R201 ,15056.43,0.88,79264,9,10 -1847,R200 ,R260 ,15996.21,0.93,79961,10,10 -1848,R100 ,R138 ,14031.96,0.82,79899,5,10 -1849,R400 ,R423 ,27990.17,1.63,83772,2,10 -1850,R300 ,R326 ,11244.58,0.66,79175,6,10 -1851,R200 ,R245 ,10151.56,0.59,79793,9,10 -1852,R300 ,R327 ,9960.07,0.58,68749,6,10 -1853,R300 ,R315 ,14860.54,0.87,94787,4,10 -1854,R400 ,R448 ,19617.32,1.14,84253,3,10 -1855,R400 ,R447 ,13971.34,0.81,79714,1,10 -1856,R400 ,R451 ,14806.54,0.86,77462,2,10 -1857,R400 ,R466 ,12368.36,0.72,79735,3,10 -1858,R400 ,R457 ,17193.94,1,84751,3,10 -1859,R300 ,R314 ,15253.33,0.89,79869,4,10 -1860,R300 ,R301 ,13214.67,0.77,72279,6,10 -1861,R300 ,R302 ,9311.67,0.54,79778,6,10 -1862,R200 ,R246 ,11821.07,0.69,79669,9,10 -1863,R300 ,R376 ,13649.29,0.8,85204,9,10 -1864,R400 ,R461 ,17747.76,1.04,85456,2,10 -1865,R400 ,R446 ,11907.42,0.69,77515,2,10 -1866,R400 ,R424 ,10758.13,0.63,79831,2,10 -1867,R200 ,R205 ,31419.28,1.83,79816,9,10 -1868,R200 ,R258 ,14414.18,0.84,79799,10,10 -1869,R200 ,R248 ,45817.24,2.67,80760,9,10 -1870,R300 ,R337 ,18913.16,1.1,79925,4,10 -1871,R400 ,R411 ,12212.86,0.71,85340,3,10 -1872,R300 ,R372 ,19657.74,1.15,94874,4,10 -1873,R400 ,R466 ,15246.9,0.89,94627,3,10 -1874,R400 ,R441 ,24903.13,1.45,94237,3,10 -1875,R400 ,R431 ,16289.11,0.95,79478,3,10 -1876,R300 ,R331 ,13350.36,0.78,80856,6,10 -1877,R300 ,R303 ,11647.39,0.68,80199,6,10 -1878,R100 ,R140 ,16216.42,0.95,80705,5,10 -1879,R100 ,R145 ,15869.97,0.93,79855,5,10 -1880,R100 ,R128 ,12781.86,0.75,67129,5,10 -1881,R100 ,R121 ,15113.88,0.88,80071,5,10 -1882,R100 ,R121 ,19062.39,1.11,79353,5,10 -1883,R200 ,R258 ,14822.47,0.86,80070,10,10 -1884,R200 ,R204 ,26238.15,1.53,78984,9,10 -1885,R400 ,R455 ,19118.93,1.12,82904,2,10 -1886,R400 ,R446 ,31838.76,1.86,86008,2,10 -1887,R400 ,R459 ,12041.74,0.7,81088,2,10 -1888,R100 ,R141 ,19317.01,1.13,82762,5,10 -1889,R100 ,R116 ,19939.43,1.16,82383,5,10 -1890,R400 ,R412 ,17656.4,1.03,80944,3,10 -1891,R100 ,R167 ,12439.11,0.73,79208,6,10 -1892,R300 ,R372 ,25971.98,1.51,82176,4,10 -1893,R400 ,R412 ,20082.28,1.17,87646,3,10 -1894,R300 ,R364 ,12266.28,0.72,79414,6,10 -1895,R100 ,R110 ,16457.66,0.96,80015,5,10 -1896,R100 ,R122 ,20302.75,1.18,96907,5,10 -1897,R400 ,R412 ,15691.74,0.92,79834,3,10 -1898,R400 ,R429 ,20319.46,1.19,88165,1,10 -1901,R100 ,R105 ,21258.65,1.24,96988,7,10 -1902,R100 ,R133 ,13075.84,0.76,80221,5,10 -1903,R100 ,R115 ,19720.66,1.15,96988,5,10 -1904,R300 ,R364 ,11880.47,0.69,79922,6,10 -1905,R300 ,R379 ,13713.69,0.8,79842,9,10 -1906,R200 ,R250 ,12129.36,0.71,79837,9,10 -1907,R300 ,R332 ,11750.72,0.69,79740,4,10 -1908,R300 ,R364 ,21818.37,1.27,96878,6,10 -1910,R300 ,R350 ,13878.69,0.81,79101,4,10 -1911,R100 ,R140 ,15783.9,0.92,79857,5,10 -1912,R100 ,R112 ,18813.41,1.1,96663,5,10 -1913,R100 ,R133 ,16319.96,0.95,79888,5,10 -1914,R100 ,R118 ,11945.36,0.7,79962,7,10 -1915,R400 ,R438 ,14269.23,0.83,80280,2,10 -1916,R400 ,R460 ,11931.3,0.7,89345,1,10 -1917,R400 ,R422 ,21152.09,1.23,85221,2,10 -1918,R300 ,R365 ,20249.03,1.18,97938,4,10 -1919,R100 ,R167 ,13211.57,0.77,79993,6,10 -1920,R300 ,R331 ,19359.99,1.13,79428,4,10 -1921,R300 ,R315 ,13109.37,0.76,97974,4,10 -1922,R300 ,R342 ,10731.77,0.63,79641,6,10 -1923,R300 ,R337 ,20608.75,1.2,79484,4,10 -1924,R100 ,R141 ,18602.58,1.09,81866,5,10 -1925,R100 ,R150 ,14823.37,0.86,79914,5,10 -1926,R200 ,R211 ,16035.38,0.94,87307,9,10 -1927,R200 ,R233 ,18089.89,1.06,87498,9,10 -1928,R100 ,R175 ,18484,1.08,96664,8,10 -1929,R400 ,R419 ,13479.94,0.79,84656,2,10 -1930,R400 ,R470 ,19137.52,1.12,84530,1,10 -1931,R400 ,R417 ,13417.49,0.78,79855,3,10 -1932,R300 ,R372 ,17498.3,1.02,96635,4,10 -1933,R100 ,R133 ,15007.42,0.88,79753,5,10 -1934,R300 ,R360 ,15013.3,0.88,96416,4,10 -1935,R300 ,R310 ,17898.13,1.04,96890,4,10 -1936,R200 ,R222 ,21679.63,1.26,78857,9,10 -1937,R300 ,R337 ,13952.96,0.81,79869,4,10 -1938,R400 ,R415 ,10906.67,0.64,79407,3,10 -1939,R100 ,R105 ,12791.38,0.75,79737,7,10 -1940,R100 ,R173 ,12149.04,0.71,80004,5,10 -1941,R300 ,R310 ,17674.22,1.03,79343,4,10 -1942,R400 ,R452 ,11022.64,0.64,79859,1,10 -1943,R100 ,R129 ,13999,0.82,79891,7,10 -1944,R100 ,R129 ,22245.22,1.3,96663,7,10 -1945,R100 ,R129 ,15443.5,0.9,96892,7,10 -1946,R100 ,R172 ,13466.53,0.79,79837,5,10 -1947,R200 ,R259 ,13569.47,0.79,80057,10,10 -1948,R400 ,R424 ,14464.63,0.84,84468,2,10 -1949,R400 ,R454 ,15832.45,0.92,80170,3,10 -1950,R100 ,R122 ,15450.59,0.9,103127,5,10 -1951,R100 ,R147 ,14901.96,0.87,79811,5,10 -1952,R100 ,R118 ,17005.88,0.99,82313,7,10 -1953,R300 ,R341 ,10380.56,0.61,79516,6,10 -1954,R400 ,R459 ,12301.22,0.72,72326,2,10 -1955,R400 ,R460 ,10912.26,0.64,79797,1,10 -1956,R400 ,R460 ,13294.29,0.78,81816,1,10 -1957,R200 ,R259 ,14672.85,0.86,80130,10,10 -1958,R200 ,R248 ,16870.99,0.98,79947,9,10 -1959,R300 ,R374 ,17293.8,1.01,94245,9,10 -1960,R300 ,R379 ,22912.25,1.34,94275,9,10 -1961,R200 ,R232 ,18783.31,1.1,79962,9,10 -1962,R300 ,R306 ,8816.03,0.51,79780,6,10 -1963,R300 ,R369 ,12178.13,0.71,79891,4,10 -1964,R300 ,R336 ,18641.11,1.09,81507,4,10 -1965,R400 ,R468 ,16174.39,0.94,79939,1,10 -1966,R300 ,R313 ,15802.73,0.92,103129,4,10 -1967,R300 ,R314 ,14475.79,0.84,79983,4,10 -1968,R400 ,R417 ,14314.36,0.83,80046,3,10 -1969,R100 ,R173 ,15678.41,0.91,80005,5,10 -1970,R400 ,R411 ,12912.32,0.75,80040,3,10 -1971,R100 ,R137 ,11438.97,0.67,80160,5,10 -1972,R100 ,R169 ,12317.64,0.72,79571,5,10 -1973,R300 ,R348 ,12927.16,0.75,79813,4,10 -1974,R300 ,R315 ,12648.88,0.74,79979,4,10 -1975,R300 ,R311 ,16395.99,0.96,79191,6,10 -1976,R100 ,R177 ,17236.3,1.01,103121,8,10 -1977,R100 ,R123 ,12964.93,0.76,80167,7,10 -1978,R100 ,R173 ,16261.24,0.95,79886,5,10 -1979,R300 ,R327 ,10674.13,0.62,79771,6,10 -1980,R200 ,R239 ,21183.4,1.24,85248,9,10 -1981,R300 ,R342 ,8779.61,0.51,79952,6,10 -1982,R300 ,R341 ,11215.11,0.65,79818,6,10 -1983,R300 ,R369 ,17104.06,1,79918,4,10 -1984,R200 ,R237 ,11877.35,0.69,79974,9,10 -2006,R400 ,R419 ,20153.3,1.18,84532,2,10 -2007,R400 ,R412 ,10893.06,0.64,80028,3,10 -2008,R300 ,R342 ,7908.83,0.46,79922,6,10 -2009,R400 ,R447 ,13109.58,0.76,79743,1,10 -2010,R100 ,R107 ,11830.41,0.69,82264,7,10 -2011,R300 ,R362 ,12315.06,0.72,79954,4,10 -2014,R100 ,R136 ,18046.87,1.05,84554,5,10 -2015,R100 ,R136 ,11773.91,0.69,79827,5,10 -2016,R100 ,R174 ,14287.05,0.83,79738,5,10 -2017,R400 ,R466 ,11668.63,0.68,79714,3,10 -2018,R200 ,R213 ,18777.98,1.1,84121,9,10 -2019,R200 ,R217 ,14515.48,0.85,84567,9,10 -2020,R200 ,R209 ,15833.8,0.92,80485,9,10 -2021,R100 ,R179 ,16619.28,0.97,96887,8,10 -2022,R300 ,R367 ,22285.2,1.3,96822,4,10 -2023,R100 ,R177 ,18884.33,1.1,96607,8,10 -2024,R400 ,R451 ,14800.4,0.86,80050,2,10 -2025,R100 ,R124 ,15418.57,0.9,84509,5,10 -2026,R200 ,R207 ,16593.37,0.97,84476,9,10 -2027,R300 ,R337 ,13010.79,0.76,80042,4,10 -2028,R100 ,R145 ,13746.54,0.8,79786,5,10 -2029,R100 ,R179 ,15920.81,0.93,80039,8,10 -2030,R200 ,R219 ,21262.98,1.24,82356,9,10 -2031,R300 ,R378 ,14390.38,0.84,79793,6,10 -2032,R300 ,R365 ,13460.31,0.79,79763,4,10 -2033,R100 ,R148 ,14546.27,0.85,79707,5,10 -2034,R300 ,R354 ,21253.59,1.24,96696,4,10 -2035,R100 ,R145 ,15469.15,0.9,96887,5,10 -2036,R300 ,R335 ,22126.21,1.29,96990,4,10 -2037,R300 ,R358 ,11518.8,0.67,79906,4,10 -2038,R400 ,R467 ,14318.05,0.84,79753,2,10 -2040,R300 ,R354 ,17063.27,1,79439,4,10 -2041,R100 ,R105 ,12355.08,0.72,83548,7,10 -2042,R300 ,R342 ,16031.24,0.94,96935,6,10 -2043,R100 ,R144 ,12732.6,0.74,79972,7,10 -2044,R100 ,R171 ,11796.18,0.69,80039,5,10 -2045,R400 ,R460 ,13842.5,0.81,78700,1,10 -2046,R100 ,R102 ,15801.65,0.92,97524,5,10 -2048,R100 ,R133 ,15655.3,0.91,80039,5,10 -2051,R200 ,R202 ,16135.06,0.94,82512,9,10 -2052,R100 ,R175 ,17685.1,1.03,96997,8,10 -2053,R300 ,R333 ,13709.08,0.8,80059,4,10 -2055,R300 ,R331 ,13899.73,0.81,79476,4,10 -2056,R300 ,R335 ,16237.46,0.95,96931,4,10 -2057,R300 ,R351 ,21884.11,1.28,81995,4,10 -2058,R300 ,R324 ,14026.92,0.82,79530,4,10 -2059,R300 ,R320 ,15837.23,0.92,96931,4,10 -2061,R300 ,R301 ,11518.39,0.67,79617,6,10 -2062,R300 ,R324 ,15010.69,0.88,79725,4,10 -2063,R300 ,R320 ,22742.94,1.33,97807,4,10 -2064,R300 ,R354 ,12526.87,0.73,79854,4,10 -2065,R300 ,R310 ,14059.85,0.82,96712,4,10 -2066,R300 ,R364 ,13446.13,0.78,79811,6,10 -2067,R300 ,R310 ,14790.46,0.86,95402,4,10 -2068,R100 ,R168 ,12474.44,0.73,79974,5,10 -2069,R300 ,R372 ,19794.26,1.15,96935,4,10 -2070,R100 ,R169 ,18237.02,1.06,82352,5,10 -2071,R400 ,R457 ,13884.61,0.81,79833,3,10 -2072,R400 ,R453 ,15049.46,0.88,80252,3,10 -2073,R400 ,R470 ,12944.49,0.75,79637,1,10 -2074,R300 ,R355 ,10997.2,0.64,79476,4,10 -2075,R400 ,R462 ,16673.55,0.97,85512,3,10 -2076,R400 ,R451 ,11758,0.69,79795,2,10 -2077,R400 ,R430 ,12219.16,0.71,79634,3,10 -2078,R100 ,R116 ,18619.49,1.09,84892,5,10 -2079,R100 ,R141 ,20343.1,1.19,85510,5,10 -2080,R300 ,R362 ,12605.45,0.74,101681,4,10 -2081,R100 ,R121 ,17503.82,1.02,96676,5,10 -2082,R200 ,R244 ,14148.16,0.83,79830,9,10 -2083,R300 ,R375 ,14948.88,0.87,84188,9,10 -2084,R300 ,R369 ,11805.45,0.69,82776,4,10 -2085,R300 ,R348 ,13948.75,0.81,79817,4,10 -2086,R100 ,R169 ,13041.89,0.76,79795,5,10 -2087,R100 ,R145 ,22546.95,1.32,81928,5,10 -2088,R200 ,R233 ,18525.42,1.08,84224,9,10 -2089,R300 ,R353 ,14135.17,0.82,96672,6,10 -2090,R300 ,R355 ,13911.55,0.81,79848,4,10 -2091,R300 ,R334 ,15409.45,0.9,97477,4,10 -2092,R300 ,R318 ,19802.69,1.15,103290,4,10 -2093,R300 ,R364 ,24946.24,1.45,81803,6,10 -2095,R100 ,R129 ,14597.45,0.85,76959,6,10 -2096,R200 ,R218 ,13918.17,0.81,79279,9,10 -2098,R100 ,R167 ,11273.99,0.66,80161,7,10 -2099,R400 ,R431 ,13274.74,0.77,80095,3,10 -2100,R400 ,R430 ,11881.95,0.69,80161,3,10 -2101,R100 ,R126 ,25991.63,1.52,92390,5,10 -2102,R400 ,R424 ,11910.75,0.69,79940,2,10 -2103,R100 ,R118 ,13708.19,0.8,82487,7,10 -2104,R400 ,R422 ,14904.77,0.87,80190,2,10 -2105,R100 ,R135 ,13635.68,0.8,82171,5,10 -2106,R100 ,R146 ,21886.76,1.28,102399,5,10 -2108,R300 ,R358 ,13209.06,0.77,80355,4,10 -2109,R300 ,R349 ,13425.73,0.78,81724,4,10 -2110,R200 ,R260 ,15506.9,0.9,80371,10,10 -2111,R300 ,R371 ,12067.51,0.7,80126,4,10 -2112,R300 ,R305 ,11248.22,0.66,80161,6,10 -2113,R100 ,R134 ,16154.26,0.94,82041,5,10 -2114,R400 ,R454 ,12706.22,0.74,79999,3,10 -2115,R200 ,R208 ,12969.02,0.76,84158,9,10 -2118,R300 ,R314 ,17591.29,1.03,101926,4,10 -2119,R100 ,R171 ,13437.88,0.78,77429,5,10 -2120,R400 ,R447 ,13448.13,0.78,80226,1,10 -2121,R300 ,R334 ,15421.05,0.9,84352,4,10 -2122,R100 ,R122 ,16351.93,0.95,79868,5,10 -2123,R100 ,R178 ,18344.56,1.07,79905,8,10 -2124,R400 ,R421 ,24831.76,1.45,86198,3,10 -2125,R100 ,R107 ,16321.94,0.95,79771,7,10 -2126,R300 ,R333 ,14207.28,0.83,80194,4,10 -2127,R400 ,R439 ,14587.04,0.85,79317,1,10 -2128,R200 ,R202 ,18280.45,1.07,81453,9,10 -2129,R300 ,R336 ,13316.84,0.78,77316,4,10 -2130,R400 ,R447 ,16133.54,0.94,80237,1,10 -2131,R400 ,R421 ,16672.83,0.97,80356,3,10 -2132,R300 ,R355 ,13031.92,0.76,96653,4,10 -2133,R400 ,R415 ,13025,0.76,82355,3,10 -2134,R300 ,R358 ,18768.16,1.09,80517,4,10 -2135,R100 ,R126 ,11790.14,0.69,82548,5,10 -2136,R200 ,R259 ,12598.14,0.73,81907,10,10 -2137,R300 ,R336 ,29282.46,1.71,85373,4,10 -2138,R400 ,R466 ,15357.32,0.9,96757,3,10 -2139,R300 ,R311 ,11320.49,0.66,83197,6,10 -2140,R300 ,R376 ,18635.02,1.09,101204,9,10 -2141,R400 ,R419 ,17782.43,1.04,82185,2,10 -2142,R300 ,R326 ,14030.84,0.82,95921,6,10 -2143,R200 ,R209 ,18214.6,1.06,88818,9,10 -2144,R300 ,R364 ,12214.72,0.71,82363,6,10 -2145,R300 ,R321 ,15779.07,0.92,95958,6,10 -2146,R300 ,R318 ,19087.89,1.11,100315,4,10 -2147,R200 ,R217 ,15700.89,0.92,82594,9,10 -2149,R300 ,R375 ,13284.48,0.77,82217,9,10 -2150,R100 ,R178 ,14546.06,0.85,82403,8,10 -2151,R200 ,R202 ,18247.93,1.06,84705,9,10 -2152,R300 ,R305 ,12708.48,0.74,82672,6,10 -2153,R300 ,R340 ,11820.02,0.69,82680,4,10 -2154,R300 ,R359 ,13939.34,0.81,81971,4,10 -2155,R300 ,R315 ,11028.44,0.64,82218,4,10 -2156,R400 ,R460 ,15043.97,0.88,80276,1,10 -2157,R100 ,R170 ,11986.52,0.7,82655,5,10 -2158,R400 ,R467 ,12458.49,0.73,82241,2,10 -2159,R100 ,R174 ,9543.22,0.56,83075,5,10 -2161,R100 ,R170 ,15143.77,0.88,82722,5,10 -2163,R200 ,R261 ,17502.73,1.02,82555,9,10 -2164,R300 ,R380 ,13939.14,0.81,82340,9,10 -2165,R200 ,R261 ,18428.88,1.07,84447,9,10 -2166,R400 ,R447 ,12957.95,0.76,82709,1,10 -2167,R400 ,R428 ,13447.78,0.78,82544,1,10 -2168,R300 ,R371 ,11369.85,0.66,82675,4,10 -2169,R300 ,R362 ,20325.35,1.19,95961,4,10 -2170,R400 ,R422 ,12172.56,0.71,82272,2,10 -2171,R300 ,R335 ,15182.74,0.89,82583,4,10 -2172,R400 ,R453 ,14327.61,0.84,83077,3,10 -2173,R400 ,R470 ,12794.02,0.75,82181,1,10 -2174,R300 ,R346 ,12391.72,0.72,82601,4,10 -2175,R400 ,R466 ,10997.7,0.64,82857,3,10 -2176,R300 ,R379 ,25009.47,1.46,83900,9,10 -2177,R100 ,R115 ,13191.28,0.77,82115,5,10 -2178,R100 ,R135 ,21199.34,1.24,80171,5,10 -2179,R200 ,R217 ,11191.94,0.65,82666,9,10 -2180,R100 ,R114 ,19791.33,1.15,98251,5,10 -2181,R400 ,R422 ,12618.57,0.74,84927,2,10 -2182,R400 ,R447 ,12903.72,0.75,82275,1,10 -2183,R100 ,R175 ,14774.68,0.86,95872,8,10 -2184,R400 ,R454 ,14525.17,0.85,82530,3,10 -2185,R200 ,R211 ,14338.59,0.84,84052,9,10 -2186,R400 ,R431 ,13942.39,0.81,82838,3,10 -2187,R300 ,R327 ,10701.3,0.62,81841,6,10 -2188,R300 ,R349 ,21189.37,1.24,82204,4,10 -2189,R100 ,R101 ,24105.11,1.41,98135,5,10 -2190,R300 ,R352 ,12424.24,0.72,81751,6,10 -2191,R400 ,R416 ,9003.96,0.53,81839,2,10 -2192,R200 ,R264 ,13160.13,0.77,82140,10,10 -2193,R100 ,R131 ,21700.84,1.27,104591,5,10 -2194,R100 ,R143 ,21255.94,1.24,83071,8,10 -2195,R200 ,R232 ,81115.94,4.73,81631,9,10 -2196,R300 ,R367 ,11416.52,0.67,83971,4,10 -2197,R100 ,R175 ,20485.02,1.19,95794,8,10 -2199,R100 ,R110 ,15465.15,0.9,82252,5,10 -2200,R100 ,R126 ,17905.31,1.04,98368,5,10 -2201,R400 ,R430 ,15054.4,0.88,82198,3,10 -2202,R400 ,R431 ,19492.92,1.14,84493,3,10 -2203,R300 ,R370 ,12279.02,0.72,82433,3,10 -2204,R100 ,R167 ,13945.06,0.81,82000,6,10 -2205,R300 ,R311 ,11948.89,0.7,82517,6,10 -2206,R100 ,R161 ,17124.9,1,82683,10,10 -2207,R100 ,R135 ,13115.65,0.76,82368,5,10 -2208,R300 ,R348 ,15921.09,0.93,82277,4,10 -2210,R300 ,R310 ,20953.26,1.22,98033,4,10 -2211,R400 ,R416 ,11981.49,0.7,82314,2,10 -2212,R400 ,R423 ,24660.11,1.44,91947,2,10 -2213,R400 ,R439 ,12549.89,0.73,82258,1,10 -2214,R200 ,R208 ,14361.37,0.84,83147,9,10 -2216,R300 ,R374 ,19632.56,1.15,95591,6,10 -2217,R100 ,R133 ,15569.67,0.91,82555,5,10 -2218,R100 ,R176 ,19129.39,1.12,95853,8,10 -2219,R100 ,R177 ,20773.99,1.21,95921,8,10 -2220,R300 ,R301 ,19264.01,1.12,95883,6,10 -2221,R100 ,R177 ,19171.12,1.12,98530,8,10 -2222,R100 ,R123 ,15223.32,0.89,82572,7,10 -2223,R100 ,R131 ,12062.63,0.7,82769,5,10 -2224,R300 ,R305 ,12026.39,0.7,82008,6,10 -2225,R100 ,R179 ,15380.23,0.9,82815,8,10 -2226,R100 ,R174 ,13300.03,0.78,79568,5,10 -2227,R300 ,R375 ,18671.34,1.09,97381,9,10 -2228,R100 ,R174 ,12586.78,0.73,79749,5,10 -2229,R100 ,R102 ,28290.13,1.65,104399,5,10 -2230,R100 ,R137 ,20244.76,1.18,82346,5,10 -2231,R400 ,R454 ,12315.13,0.72,82023,3,10 -2232,R200 ,R201 ,16960.15,0.99,84026,9,10 -2233,R300 ,R315 ,14477.09,0.84,97840,4,10 -2234,R300 ,R302 ,10622.44,0.62,102469,6,10 -2235,R300 ,R354 ,19945.87,1.16,102327,4,10 -2236,R300 ,R377 ,17565.23,1.02,98398,9,10 -2237,R300 ,R305 ,14789.51,0.86,81809,6,10 -2238,R200 ,R237 ,17540.29,1.02,81739,9,10 -2239,R300 ,R327 ,16317.28,0.95,102368,6,10 -2240,R300 ,R369 ,12964.15,0.76,82422,4,10 -2241,R400 ,R431 ,14083.83,0.82,82689,3,10 -2243,R300 ,R306 ,13982.8,0.82,98028,6,10 -2244,R300 ,R355 ,15384.29,0.9,84647,4,10 -2245,R200 ,R206 ,18086.36,1.05,82114,9,10 -2246,R400 ,R461 ,13631.19,0.8,82987,3,10 -2247,R400 ,R451 ,14377,0.84,81651,2,10 -2248,R300 ,R360 ,12583.95,0.73,82718,4,10 -2249,R400 ,R460 ,13104.62,0.76,82302,1,10 -2250,R400 ,R457 ,12185.7,0.71,82698,3,10 -2251,R100 ,R150 ,15613.2,0.91,82608,5,10 -2252,R200 ,R245 ,12439.23,0.73,82391,9,10 -2253,R400 ,R467 ,13349.91,0.78,82792,2,10 -2254,R100 ,R134 ,13982.43,0.82,79882,5,10 -2255,R100 ,R118 ,12695.01,0.74,82319,7,10 -2256,R400 ,R450 ,11696.3,0.68,81964,2,10 -2258,R400 ,R429 ,13082.13,0.76,85561,1,10 -2259,R400 ,R412 ,23898.41,1.39,87461,3,10 -2260,R200 ,R248 ,16211.26,0.95,98284,9,10 -2261,R100 ,R179 ,21320.48,1.24,96619,8,10 -2262,R400 ,R430 ,11808.71,0.69,82719,3,10 -2264,R300 ,R324 ,27120.06,1.58,102684,4,10 -2265,R300 ,R318 ,11890.78,0.69,82459,4,10 -2266,R100 ,R174 ,18072.21,1.05,82387,5,10 -2267,R400 ,R470 ,13125.4,0.77,82677,1,10 -2268,R200 ,R246 ,12944.3,0.75,82302,9,10 -2269,R300 ,R360 ,12743.29,0.74,82054,4,10 -2270,R200 ,R220 ,17684.44,1.03,82589,9,10 -2271,R400 ,R415 ,20206.73,1.18,84460,3,10 -2272,R400 ,R441 ,15535.61,0.91,82290,3,10 -2273,R300 ,R353 ,12140.39,0.71,82402,6,10 -2274,R300 ,R340 ,12462.88,0.73,82754,4,10 -2275,R200 ,R207 ,15040.35,0.88,82932,9,10 -2276,R300 ,R340 ,13076.17,0.76,82715,4,10 -2277,R300 ,R337 ,15381.21,0.9,79507,4,10 -2278,R300 ,R306 ,8577.29,0.5,82776,6,10 -2279,R300 ,R359 ,11524.71,0.67,82048,4,10 -2280,R200 ,R239 ,18666.58,1.09,82375,9,10 -2281,R200 ,R233 ,16828.93,0.98,82439,9,10 -2283,R300 ,R302 ,10424.27,0.61,81779,6,10 -2284,R100 ,R167 ,9327.15,0.54,82310,6,10 -2287,R400 ,R452 ,14367.85,0.84,82476,1,10 -2288,R300 ,R322 ,11427.84,0.67,98196,6,10 -2289,R300 ,R314 ,13654.12,0.8,102718,4,10 -2290,R200 ,R265 ,17523.14,1.02,82140,10,10 -2292,R400 ,R428 ,13748.51,0.8,82304,1,10 -2294,R400 ,R457 ,13577.8,0.79,82848,3,10 -2295,R400 ,R467 ,11937.38,0.7,82713,2,10 -2296,R300 ,R370 ,11253.68,0.66,82845,3,10 -2297,R400 ,R457 ,13328.51,0.78,82301,3,10 -2300,R100 ,R163 ,23676.61,1.38,102560,5,10 -2301,R300 ,R315 ,12067.75,0.7,79580,4,10 -2302,R400 ,R431 ,12003.96,0.7,82325,3,10 -2303,R100 ,R107 ,21916.35,1.28,102791,7,10 -2304,R200 ,R202 ,16984.39,0.99,92431,9,10 -2305,R400 ,R460 ,13259.1,0.77,83617,1,10 -2306,R200 ,R245 ,12004.62,0.7,81802,9,10 -2307,R200 ,R236 ,21543.6,1.26,87697,9,10 -2308,R300 ,R351 ,11655,0.68,82714,3,10 -2309,R200 ,R232 ,14751.69,0.86,102578,9,10 -2310,R400 ,R415 ,16000.5,0.93,81887,3,10 -2312,R400 ,R453 ,23583.75,1.38,92086,3,10 -2313,R100 ,R163 ,31423.53,1.83,104449,5,10 -2314,R200 ,R265 ,15517.41,0.91,82921,10,10 -2315,R400 ,R447 ,21727.61,1.27,82276,1,10 -2316,R300 ,R320 ,15477.38,0.9,97942,4,10 -2317,R300 ,R320 ,19986.85,1.17,103536,4,10 -2319,R200 ,R207 ,19689.77,1.15,82769,9,10 -2320,R300 ,R303 ,15413.78,0.9,103649,6,10 -2321,R100 ,R111 ,16703.16,0.97,103492,5,10 -2322,R100 ,R170 ,18035.07,1.05,82761,5,10 -2323,R400 ,R466 ,13828.03,0.81,104043,3,10 -2324,R400 ,R467 ,16118.75,0.94,82227,2,10 -2325,R400 ,R452 ,11186.67,0.65,82428,1,10 -2326,R100 ,R107 ,18733.23,1.09,103451,7,10 -2327,R100 ,R136 ,13390.27,0.78,82875,5,10 -2328,R200 ,R207 ,16998.92,0.99,83584,9,10 -2329,R200 ,R219 ,20467.54,1.19,84992,9,10 -2330,R100 ,R117 ,13410.92,0.78,82072,5,10 -2331,R300 ,R350 ,17189.98,1,82050,4,10 -2332,R300 ,R351 ,12842.81,0.75,82366,4,10 -2333,R300 ,R335 ,15113.19,0.88,79522,4,10 -2334,R300 ,R306 ,9482,0.55,82479,6,10 -2335,R300 ,R302 ,14171.57,0.83,101330,6,10 -2337,R400 ,R417 ,11256.92,0.66,82257,3,10 -2338,R300 ,R326 ,19559.39,1.14,101316,6,10 -2339,R200 ,R262 ,30081,1.75,88269,10,10 -2340,R100 ,R163 ,18175.89,1.06,103620,5,10 -2341,R300 ,R375 ,13774.94,0.8,82599,9,10 -2342,R300 ,R341 ,14026.97,0.82,102964,6,10 -2343,R100 ,R179 ,13508.68,0.79,82251,8,10 -2345,R100 ,R118 ,14386.95,0.84,82330,7,10 -2346,R100 ,R171 ,14719.41,0.86,82289,5,10 -2347,R200 ,R218 ,11198.63,0.65,82277,9,10 -2348,R100 ,R150 ,13182.36,0.77,82360,5,10 -2349,R200 ,R250 ,17487.19,1.02,103132,9,10 -2350,R200 ,R219 ,17382.19,1.01,97725,9,10 -2351,R100 ,R174 ,13315.86,0.78,79494,5,10 -2354,R300 ,R375 ,15840.96,0.92,103776,9,10 -2355,R300 ,R340 ,10969.41,0.64,82363,4,10 -2356,R300 ,R304 ,13665.86,0.8,82201,6,10 -2357,R100 ,R129 ,21272.94,1.24,82116,6,10 -2358,R100 ,R173 ,12503.48,0.73,82246,5,10 -2359,R200 ,R213 ,13391.61,0.78,82322,9,10 -2360,R300 ,R333 ,18988.72,1.11,103204,4,10 -2361,R400 ,R460 ,17916.09,1.04,92397,1,10 -2362,R300 ,R369 ,13196.91,0.77,103637,4,10 -2363,R300 ,R320 ,15580.11,0.91,103715,4,10 -2364,R300 ,R313 ,16405.13,0.96,111024,4,10 -2365,R300 ,R374 ,18410.06,1.07,103609,9,10 -2366,R300 ,R314 ,13287.57,0.78,82209,4,10 -2367,R300 ,R333 ,13534.64,0.79,82289,4,10 -2368,R300 ,R380 ,11108.29,0.65,82270,9,10 -2369,R300 ,R320 ,11140.3,0.65,82334,4,10 -2370,R300 ,R365 ,20821.61,1.21,100164,4,10 -2371,R200 ,R262 ,29785.77,1.74,88020,10,10 -2372,R200 ,R262 ,36310.74,2.12,87847,10,10 -2373,R100 ,R141 ,23314.18,1.36,88792,5,10 -2374,R300 ,R306 ,11208.65,0.65,82292,6,10 -2375,R300 ,R340 ,11086.8,0.65,82382,4,10 -2376,R300 ,R365 ,13742.95,0.8,101479,4,10 -2377,R300 ,R353 ,11964.7,0.7,82341,6,10 -2378,R100 ,R115 ,18158.26,1.06,102945,5,10 -2379,R400 ,R457 ,13095.58,0.76,82376,3,10 -2380,R400 ,R469 ,15786.46,0.92,83341,2,10 -2381,R400 ,R446 ,20390.42,1.19,82841,2,10 -2382,R400 ,R416 ,10784.53,0.63,82487,2,10 -2383,R100 ,R107 ,19469.75,1.14,103679,7,10 -2384,R400 ,R422 ,17722.2,1.03,82585,2,10 -2385,R400 ,R430 ,14009.86,0.82,81934,3,10 -2386,R200 ,R218 ,12348.87,0.72,101445,9,10 -2387,R300 ,R335 ,12542.55,0.73,82295,4,10 -2388,R100 ,R150 ,15505.85,0.9,82046,5,10 -2389,R300 ,R304 ,20579.06,1.2,103125,6,10 -2390,R100 ,R163 ,23943.77,1.4,105381,5,10 -2391,R100 ,R138 ,13943.97,0.81,82922,5,10 -2392,R400 ,R450 ,15908.74,0.93,82089,2,10 -2394,R400 ,R415 ,13287.04,0.77,82259,3,10 -2395,R300 ,R355 ,14161.52,0.83,82534,4,10 -2396,R300 ,R370 ,11884.73,0.69,82555,3,10 -2397,R200 ,R244 ,15628.89,0.91,83338,9,10 -2398,R200 ,R240 ,17118.96,1,88129,9,10 -2399,R400 ,R461 ,14808.26,0.86,82540,3,10 -2400,R300 ,R375 ,15323.16,0.89,102712,9,10 -2403,R100 ,R176 ,25435.33,1.48,102986,8,10 -2404,R300 ,R380 ,15046.5,0.88,79480,9,10 -2406,R100 ,R102 ,23477.23,1.37,97351,5,10 -2407,R300 ,R358 ,10225.27,0.6,82339,3,10 -2408,R200 ,R208 ,14322.74,0.84,82396,9,10 -2409,R300 ,R341 ,14274.87,0.83,82387,6,10 -2410,R200 ,R257 ,61584.24,3.59,89082,9,10 -2411,R200 ,R257 ,50207.23,2.93,86764,9,10 -2412,R200 ,R257 ,48383.53,2.82,86717,9,10 -2414,R100 ,R117 ,13409.28,0.78,82272,5,10 -2415,R100 ,R148 ,13091.96,0.76,79563,5,10 -2418,R400 ,R462 ,16515.58,0.96,82365,3,10 -2419,R300 ,R311 ,16511.15,0.96,103695,6,10 -2420,R200 ,R250 ,13985.84,0.82,82255,9,10 -2421,R200 ,R244 ,15128.36,0.88,82941,9,10 -2422,R100 ,R129 ,13669.47,0.8,82291,6,10 -2423,R100 ,R123 ,19437.21,1.13,82301,7,10 -2424,R200 ,R207 ,17662.86,1.03,82183,9,10 -2425,R300 ,R342 ,8287.99,0.48,82124,6,10 -2426,R300 ,R327 ,14875.68,0.87,103658,6,10 -2427,R300 ,R310 ,20554.44,1.2,87393,4,10 -2428,R300 ,R304 ,14166.64,0.83,82240,6,10 -2429,R300 ,R322 ,11837.59,0.69,82343,6,10 -2430,R400 ,R428 ,14300.46,0.83,85134,1,10 -2431,R300 ,R334 ,13900.18,0.81,102189,4,10 -2432,R400 ,R439 ,12124.78,0.71,82311,1,10 -2433,R400 ,R439 ,10645.27,0.62,82236,1,10 -2434,R400 ,R460 ,16641.42,0.97,81961,1,10 -2436,R400 ,R417 ,12524.26,0.73,82324,3,10 -2437,R400 ,R431 ,13571.89,0.79,82214,3,10 -2438,R300 ,R322 ,10645.93,0.62,82382,6,10 -2439,R400 ,R431 ,13430.15,0.78,82287,3,10 -2440,R100 ,R133 ,14561.68,0.85,82278,5,10 -2442,R300 ,R332 ,14268.32,0.83,82355,4,10 -2445,R300 ,R359 ,12342.84,0.72,82306,4,10 -2446,R400 ,R461 ,13878.56,0.81,82109,2,10 -2448,R100 ,R129 ,11575.58,0.68,79562,7,10 -2449,R100 ,R101 ,16443.63,0.96,85996,5,10 -2450,R100 ,R169 ,13559.36,0.79,85639,5,10 -2451,R400 ,R469 ,27828.52,1.62,87111,2,10 -2454,R100 ,R107 ,18016.56,1.05,82387,7,10 -2455,R200 ,R208 ,15834.51,0.92,82590,9,10 -2456,R100 ,R124 ,21347.96,1.25,107394,5,10 -2457,R100 ,R176 ,21077.64,1.23,82430,8,10 -2458,R100 ,R177 ,13321.8,0.78,82233,8,10 -2459,R400 ,R438 ,12407.12,0.72,82135,2,10 -2460,R300 ,R301 ,11315.18,0.66,81996,6,10 -2461,R400 ,R438 ,13038.79,0.76,82284,2,10 -2462,R200 ,R240 ,16201.64,0.94,85529,9,10 -2463,R200 ,R246 ,17660.66,1.03,86038,9,10 -2465,R200 ,R231 ,36242.28,2.11,84466,9,10 -2467,R300 ,R327 ,10961.99,0.64,81855,6,10 -2468,R200 ,R248 ,21042.87,1.23,103779,9,10 -2469,R200 ,R250 ,13626.16,0.79,84451,9,10 -2470,R200 ,R207 ,17761.54,1.04,82584,9,10 -2471,R200 ,R205 ,17599.8,1.03,103431,9,10 -2472,R200 ,R220 ,16118.77,0.94,81977,9,10 -2473,R100 ,R168 ,20818.76,1.21,85348,4,10 -2474,R300 ,R332 ,16935.71,0.99,85941,4,10 -2475,R400 ,R459 ,25298.57,1.48,87391,2,10 -2476,R300 ,R334 ,27801.12,1.62,108688,4,10 -2478,R400 ,R417 ,13047.21,0.76,85748,3,10 -2480,R400 ,R470 ,13099.1,0.76,86377,1,10 -2482,R200 ,R244 ,17448.65,1.02,86586,9,10 -2483,R100 ,R172 ,14827.66,0.86,85442,4,10 -2485,R300 ,R359 ,12974.87,0.76,82918,4,10 -2486,R100 ,R172 ,13628.4,0.79,85822,5,10 -2488,R100 ,R172 ,16422.61,0.96,86006,5,10 -2489,R300 ,R314 ,12425.12,0.72,85675,4,10 -2490,R100 ,R121 ,19147.89,1.12,106766,5,10 -2491,R100 ,R146 ,16506.59,0.96,85927,5,10 -2492,R200 ,R246 ,16992.46,0.99,83759,9,10 -2493,R300 ,R346 ,11287.76,0.66,85804,4,10 -2494,R300 ,R303 ,12446.28,0.73,85769,6,10 -2495,R300 ,R341 ,15332.87,0.89,107348,6,10 -2496,R400 ,R453 ,13449.38,0.78,82821,3,10 -2497,R300 ,R373 ,12544.15,0.73,85952,9,10 -2498,R100 ,R167 ,15550.81,0.91,85803,6,10 -2499,R200 ,R205 ,15762.52,0.92,107308,9,10 -2501,R300 ,R370 ,14101.51,0.82,85787,3,10 -2503,R300 ,R340 ,17639.27,1.03,103610,4,10 -2516,R300 ,R302 ,14469.06,0.84,107351,6,10 -2519,R100 ,R102 ,12477.91,0.73,86712,5,10 -2520,R300 ,R326 ,10930.01,0.64,107443,6,10 -2523,R200 ,R258 ,21739.93,1.27,85996,10,10 -2524,R200 ,R250 ,18610.44,1.09,85127,9,10 -2525,R100 ,R123 ,13790.05,0.8,85698,7,10 -2526,R100 ,R127 ,12976.58,0.76,82494,7,10 -2527,R400 ,R421 ,13644.45,0.8,85782,3,10 -2528,R400 ,R416 ,11215.47,0.65,82825,2,10 -2529,R400 ,R431 ,14783.81,0.86,85807,3,10 -2530,R400 ,R447 ,12060.87,0.7,81769,1,10 -2531,R300 ,R331 ,14006.88,0.82,82502,6,10 -2532,R400 ,R428 ,18832.66,1.1,85689,1,10 -2533,R300 ,R304 ,13237.56,0.77,82865,6,10 -2534,R300 ,R331 ,12611.23,0.74,85262,6,10 -2536,R400 ,R461 ,16009.96,0.93,85859,3,10 -2537,R400 ,R421 ,14867.53,0.87,85862,3,10 -2538,R400 ,R457 ,13153.08,0.77,82572,3,10 -2540,R100 ,R143 ,17659.94,1.03,86399,8,10 -2542,R100 ,R129 ,20273.52,1.18,103504,6,10 -2544,R100 ,R135 ,14674.67,0.86,85980,5,10 -2545,R400 ,R453 ,17078.18,1,85916,3,10 -2546,R100 ,R110 ,14497.89,0.85,85943,5,10 -2547,R300 ,R360 ,11536.51,0.67,85792,4,10 -2548,R400 ,R421 ,14093.4,0.82,75582,3,10 -2550,R300 ,R302 ,10857.29,0.63,103940,6,10 -2557,R100 ,R172 ,14412.47,0.84,86062,5,10 -2559,R100 ,R122 ,15308.18,0.89,82554,5,10 -2565,R300 ,R362 ,6955.21,0.41,86031,4,10 -2567,R400 ,R431 ,14185.38,0.83,86057,3,10 -2568,R300 ,R380 ,20486.14,1.19,86392,9,10 -2569,R300 ,R373 ,13379.83,0.78,85898,9,10 -2570,R400 ,R468 ,14667.2,0.86,86060,1,10 -2572,R300 ,R302 ,20958.4,1.22,101369,6,10 -2581,R200 ,R233 ,15178.5,0.89,85236,9,10 -2584,R200 ,R233 ,20568.84,1.2,87380,9,10 -2586,R100 ,R110 ,19215.74,1.12,86289,5,10 -2596,R400 ,R421 ,14129.75,0.82,86612,3,10 -2601,R200 ,R212 ,18532.38,1.08,85641,9,10 -2604,R200 ,R208 ,14991.21,0.87,86813,9,10 -2605,R200 ,R233 ,20680.12,1.21,87313,9,10 -2607,R400 ,R428 ,10917.01,0.64,86008,1,10 -2608,R400 ,R461 ,14096.88,0.82,78437,3,10 -2609,R100 ,R178 ,15797.52,0.92,86118,8,10 -2613,R100 ,R116 ,26971.71,1.57,83519,5,10 -2615,R200 ,R237 ,19736.55,1.15,83372,9,10 -2627,R200 ,R263 ,16619.9,0.97,85914,9,10 -2631,R400 ,R415 ,15121.29,0.88,83229,3,10 -2632,R200 ,R239 ,20718.86,1.21,86716,9,10 -2641,R100 ,R178 ,22049.41,1.29,85386,8,10 -2649,R400 ,R429 ,17883.65,1.04,86430,1,10 -2660,R200 ,R257 ,50337.47,2.94,85572,9,10 -2682,R200 ,R257 ,60787.18,3.55,86688,9,10 -2693,R400 ,R429 ,22348.01,1.3,78343,1,10 -2697,R200 ,R257 ,49197.17,2.87,86717,9,10 -2715,R200 ,R250 ,18163.03,1.06,85629,9,10 -2716,R100 ,R179 ,26029.89,1.52,103599,8,10 -2717,R100 ,R179 ,16868.81,0.98,84045,8,10 -2721,R300 ,R372 ,15351.64,0.9,86076,4,10 -2725,R300 ,R322 ,6638.75,0.39,82643,6,10 -2727,R300 ,R301 ,12836.29,0.75,86223,6,10 -2728,R100 ,R168 ,14313.97,0.83,82660,4,10 -2729,R400 ,R470 ,14787.04,0.86,85163,1,10 -2730,R200 ,R261 ,19808.13,1.16,85619,9,10 -2737,R100 ,R167 ,14397.33,0.84,85650,6,10 -2739,R300 ,R301 ,10245.67,0.6,85796,6,10 -2742,R300 ,R350 ,17037.35,0.99,86116,4,10 -2744,R200 ,R213 ,16037.01,0.94,86827,9,10 -2747,R300 ,R379 ,15020.35,0.88,87031,9,10 -2753,R400 ,R419 ,20767.47,1.21,82700,2,10 -2754,R300 ,R342 ,11179.4,0.65,79305,6,10 -2757,R400 ,R454 ,23500.78,1.37,87536,3,10 -2759,R200 ,R240 ,21761.92,1.27,86306,9,10 -2760,R200 ,R240 ,19140.67,1.12,86140,9,10 -2764,R400 ,R453 ,20121.51,1.17,85110,3,10 -2765,R100 ,R146 ,21144.9,1.23,86977,5,10 -2766,R200 ,R210 ,10885.51,0.63,50670,9,10 -2767,R200 ,R211 ,29795.47,1.74,81382,9,10 -2768,R200 ,R212 ,12421.06,0.72,54031,9,10 -2770,R300 ,R370 ,17177.56,1,86658,3,10 -2771,R200 ,R237 ,15844.28,0.92,85407,9,10 -2772,R200 ,R212 ,16456.86,0.96,81415,9,10 -2774,R200 ,R204 ,13732.93,0.8,45825,9,10 -2775,R200 ,R204 ,12790.63,0.75,58067,9,10 -2776,R200 ,R204 ,11541.7,0.67,57332,9,10 -2779,R200 ,R260 ,18343.08,1.07,86115,10,10 -2780,R100 ,R110 ,19400.44,1.13,86169,5,10 -2781,R100 ,R116 ,19231.18,1.12,89292,5,10 -2784,R300 ,R372 ,9476.47,0.55,86519,4,10 -2785,R300 ,R371 ,17529.66,1.02,86089,4,10 -2786,R200 ,R265 ,7278.99,0.42,47568,10,10 -2787,R400 ,R454 ,18302.68,1.07,87777,3,10 -2790,R400 ,R441 ,27809.78,1.62,86814,3,10 -2791,R200 ,R258 ,6161.97,0.36,40431,10,10 -2795,R200 ,R245 ,9597.21,0.56,53312,9,10 -2796,R300 ,R340 ,16983.81,0.99,87476,4,10 -2799,R100 ,R116 ,17566.06,1.02,57790,5,10 -2802,R200 ,R231 ,14610.41,0.85,78679,9,10 -2803,R300 ,R327 ,10634.74,0.62,86126,6,10 -2804,R200 ,R212 ,23877.14,1.39,86680,9,10 -2805,R400 ,R438 ,13600.31,0.79,86209,2,10 -2810,R200 ,R209 ,22919.47,1.34,87264,9,10 -2811,R400 ,R459 ,16398.04,0.96,88436,2,10 -2813,R300 ,R378 ,18224.95,1.06,87120,6,10 -2815,R300 ,R351 ,11193.33,0.65,86144,4,10 -2816,R300 ,R369 ,12425.87,0.72,83199,4,10 -2818,R100 ,R136 ,16262.92,0.95,86314,5,10 -2820,R100 ,R175 ,16508.87,0.96,85821,8,10 -2822,R400 ,R429 ,19541.01,1.14,77450,1,10 -2824,R100 ,R147 ,15836.67,0.92,85871,5,10 -2829,R200 ,R211 ,16595.32,0.97,83206,9,10 -2830,R200 ,R233 ,16857.37,0.98,86011,9,10 -2831,R200 ,R206 ,13699.62,0.8,82986,9,10 -2840,R400 ,R455 ,20786.26,1.21,84895,2,10 -2843,R300 ,R349 ,17118.33,1,85989,4,10 -2844,R400 ,R455 ,15425.05,0.9,83289,2,10 -2845,R400 ,R411 ,17259.75,1.01,83326,3,10 -2847,R400 ,R424 ,19538.61,1.14,86329,2,10 -2848,R300 ,R349 ,13042.3,0.76,87087,4,10 -2850,R400 ,R423 ,14194.74,0.83,49455,2,10 -2851,R100 ,R173 ,14938.5,0.87,85416,5,10 -2853,R400 ,R450 ,13751.56,0.8,86202,2,10 -2855,R200 ,R231 ,23567.67,1.37,87616,9,10 -2857,R100 ,R161 ,18571.01,1.08,85375,10,10 -2860,R100 ,R112 ,14876.32,0.87,79532,5,10 -2865,R300 ,R304 ,11109.83,0.65,82010,6,10 -2867,R400 ,R453 ,12625.36,0.74,80000,3,10 -2868,R300 ,R311 ,8076.43,0.47,81752,6,10 -2870,R200 ,R257 ,31340,1.83,0,9,10 -2871,R200 ,R261 ,11190.52,0.65,50000,9,10 -3200,R100 ,R126 ,2018.34,0.12,12067,5,10 -3201,R200 ,R210 ,1221.53,0.07,8137,9,10 -3202,R200 ,R211 ,787.98,0.05,4762,9,10 -3203,R200 ,R212 ,1577.67,0.09,9712,9,10 -3204,R100 ,R163 ,1204.56,0.07,7819,5,10 -3205,R200 ,R201 ,1622.35,0.09,9555,9,10 -3206,R400 ,R462 ,2106.23,0.12,11683,3,10 -3207,R100 ,R116 ,1450.92,0.08,12189,5,10 -3208,R100 ,R116 ,1691.28,0.1,129000,5,10 -3210,R400 ,R412 ,2075.48,0.12,11362,3,10 -3211,R400 ,R412 ,1689.44,0.1,7450,3,10 -3212,R400 ,R462 ,1521.78,0.09,10594,3,10 -3214,R100 ,R116 ,1771.57,0.1,12560,5,10 -3216,R200 ,R204 ,1279.47,0.07,11017,9,10 -3217,R200 ,R204 ,2606.84,0.15,13776,9,10 -3218,R200 ,R219 ,2980.91,0.17,18948,9,10 -3219,R100 ,R145 ,1809.48,0.11,11937,5,10 -3221,R100 ,R116 ,1781.38,0.1,15806,5,10 -3222,R400 ,R429 ,1653.52,0.1,10403,1,10 -3223,R400 ,R429 ,1383.63,0.08,9955,1,10 -3224,R200 ,R233 ,2200.74,0.13,13280,9,10 -3225,R200 ,R207 ,2690.44,0.16,21625,9,10 -3226,R400 ,R429 ,1262.9,0.07,8196,1,10 -3227,R400 ,R462 ,2603.03,0.15,18900,3,10 -3229,R400 ,R423 ,2800.6,0.16,24167,2,10 -3230,R400 ,R469 ,1471.29,0.09,10521,2,10 -3233,R200 ,R202 ,1766.29,0.1,9700,9,10 -3234,R400 ,R430 ,2123.94,0.12,13923,3,10 -3235,R400 ,R451 ,4530.29,0.26,29059,2,10 -3236,R400 ,R455 ,3341.1,0.19,29809,2,10 -3237,R400 ,R469 ,1859.54,0.11,15806,2,10 -3238,R300 ,R324 ,1680.59,0.1,11545,4,10 -3239,R100 ,R101 ,1831.61,0.11,11100,5,10 -3240,R200 ,R212 ,2975.19,0.17,31988,9,10 -3241,R300 ,R372 ,1797.86,0.1,7500,4,10 -3242,R400 ,R448 ,3059.54,0.18,18745,3,10 -3243,R400 ,R423 ,2207.15,0.13,21600,2,10 -3244,R100 ,R169 ,2485.25,0.14,16500,5,10 -3247,R400 ,R421 ,5296.14,0.31,32664,3,10 -3249,R400 ,R423 ,1605.65,0.09,14249,2,10 -3250,R300 ,R322 ,903.51,0.05,11000,6,10 -3251,R200 ,R236 ,2025.36,0.12,14200,9,10 -3252,R100 ,R141 ,1802.91,0.11,20300,5,10 -3253,R400 ,R452 ,3975.59,0.23,31000,1,10 -3254,R100 ,R172 ,1945.21,0.11,9128,5,10 -3255,R300 ,R372 ,1356.87,0.08,11300,4,10 -3258,R200 ,R222 ,4202.41,0.25,25046,9,10 -3259,R400 ,R455 ,4858.49,0.28,31369,2,10 -3261,R300 ,R375 ,4091.49,0.24,31050,9,10 -3262,R200 ,R236 ,3376.77,0.2,20225,9,10 -3263,R400 ,R462 ,2252.46,0.13,20262,3,10 -3264,R200 ,R210 ,2131.68,0.12,17000,9,10 -3265,R200 ,R210 ,3463.55,0.2,29965,9,10 -3267,R200 ,R211 ,1207.94,0.07,13000,9,10 -3270,R100 ,R141 ,1616.55,0.09,12400,5,10 -3273,R300 ,R348 ,2686.86,0.16,19200,4,10 -3274,R200 ,R244 ,3067.18,0.18,25700,9,10 -3276,R400 ,R423 ,1044.2,0.06,12400,2,10 -3277,R400 ,R423 ,2645.38,0.15,22496,2,10 -3279,R100 ,R175 ,1627.21,0.09,12100,8,10 -3281,R200 ,R258 ,1604.14,0.09,17230,10,10 -3283,R100 ,R141 ,1513.74,0.09,16700,5,10 -3284,R400 ,R423 ,1161.45,0.07,11300,2,10 -3285,R400 ,R462 ,2880.72,0.17,36700,3,10 -3287,R400 ,R452 ,1718.72,0.1,19800,1,10 -3290,R400 ,R446 ,4845.36,0.28,43415,2,10 -3292,R300 ,R352 ,1573.85,0.09,32600,6,10 -3293,R200 ,R236 ,3814.79,0.22,31536,9,10 -3295,R400 ,R412 ,1857.09,0.11,0,3,10 -3296,R400 ,R422 ,4049.03,0.24,33425,2,10 -3304,R400 ,R429 ,1836.82,0.11,29738,1,10 -3305,R400 ,R470 ,3247.8,0.19,14200,1,10 -3306,R400 ,R447 ,3985.04,0.23,31800,1,10 -3307,R100 ,R116 ,1214.94,0.07,6300,5,10 -3310,R400 ,R421 ,3038.08,0.18,39623,3,10 -3315,R200 ,R261 ,2407.47,0.14,16400,9,10 -3316,R100 ,R178 ,2398.48,0.14,18196,8,10 -3318,R400 ,R424 ,2678.01,0.16,35000,2,10 +y,x1,x2,x3,x4,x5,x6,x7,x8 +3,R100 ,R131 ,17413.06,1.02,80844,5,10,A +4,R100 ,R114 ,23290.41,1.36,82980,5,10,A +5,R100 ,R163 ,18241.02,1.06,80933,5,10,A +12,R100 ,R117 ,20692.01,1.21,69184,7,10,A +13,R300 ,R352 ,8252.73,0.48,69674,6,10,A +19,R100 ,R129 ,16169.47,0.94,74595,6,10,A +26,R100 ,R117 ,20397.41,1.19,72984,7,10,A +43,R300 ,R301 ,18933.64,1.1,81050,6,10,A +48,R100 ,R175 ,14473.25,0.84,78121,8,10,A +52,R100 ,R126 ,17470.96,1.02,73182,5,10,A +55,R300 ,R352 ,11862.25,0.69,75618,6,10,A +61,R100 ,R143 ,31066.83,1.81,79900,8,10,A +64,R100 ,R176 ,26316.01,1.53,80978,8,10,A +67,R300 ,R326 ,8210.73,0.48,74609,6,10,A +68,R100 ,R102 ,13214,0.77,72394,5,10,A +69,R100 ,R105 ,16713.05,0.97,72221,7,10,A +75,R300 ,R311 ,11314.14,0.66,77492,6,10,A +76,R100 ,R143 ,22717.36,1.32,79855,8,10,A +78,R100 ,R147 ,11464.04,0.67,62523,5,10,A +79,R100 ,R176 ,16834.94,0.98,74041,8,10,A +80,R300 ,R326 ,11171.17,0.65,64431,6,10,A +82,R100 ,R110 ,13369.59,0.78,80681,5,10,A +83,R300 ,R352 ,8377.58,0.49,74591,6,10,A +85,R100 ,R143 ,17766.32,1.04,59142,8,10,A +86,R100 ,R127 ,14260.12,0.83,59850,7,10,A +90,R300 ,R332 ,15633,0.91,76659,4,10,A +93,R100 ,R179 ,14529.19,0.85,72158,8,10,A +95,R300 ,R341 ,8524.54,0.5,73885,6,10,A +96,R300 ,R322 ,10237.9,0.6,65671,6,10,A +100,R100 ,R101 ,21131.13,1.23,87002,5,10,A +108,R100 ,R140 ,15754.07,0.92,71622,5,10,A +111,R100 ,R138 ,11261.98,0.66,66487,5,10,A +137,R100 ,R147 ,15292.52,0.89,64431,5,10,A +139,R100 ,R168 ,11471.15,0.67,64721,5,10,A +144,R300 ,R333 ,10607.4,0.62,73295,4,10,A +146,R300 ,R369 ,18405.68,1.07,81849,4,10,A +147,R100 ,R177 ,12738.47,0.74,64658,8,10,A +151,R300 ,R351 ,13956.32,0.81,76401,4,10,A +152,R100 ,R150 ,12321.35,0.72,61912,5,10,A +154,R100 ,R177 ,14698.64,0.86,77392,8,10,A +158,R300 ,R303 ,10653.68,0.62,77114,6,10,A +162,R100 ,R167 ,12722.31,0.74,62900,6,10,A +164,R100 ,R176 ,11060.36,0.65,48505,8,10,A +167,R300 ,R353 ,9746.49,0.57,64427,6,10,A +171,R100 ,R161 ,17392.43,1.01,64978,8,10,A +176,R300 ,R327 ,8160.21,0.48,54334,6,10,A +183,R200 ,R219 ,13248.23,0.77,63185,9,10,A +184,R200 ,R263 ,24366.54,1.42,69243,9,10,A +188,R200 ,R248 ,11887.53,0.69,71593,9,10,A +189,R200 ,R263 ,15584.92,0.91,59354,9,10,A +190,R200 ,R263 ,24461.04,1.43,75264,9,10,A +192,R200 ,R222 ,13160.46,0.77,76558,9,10,A +193,R200 ,R222 ,14146.35,0.83,68708,9,10,A +195,R200 ,R207 ,23764.51,1.39,72859,9,10,A +198,R200 ,R239 ,23030.22,1.34,73725,9,10,A +199,R200 ,R239 ,26726.84,1.56,75022,9,10,A +200,R200 ,R239 ,21217.78,1.24,74377,9,10,A +201,R200 ,R201 ,25958.87,1.51,73626,9,10,A +203,R200 ,R201 ,16166.95,0.94,77253,9,10,A +205,R200 ,R231 ,16046.88,0.94,59508,9,10,A +212,R200 ,R232 ,14804.74,0.86,74467,9,10,A +215,R100 ,R114 ,21632.8,1.26,81513,5,10,A +217,R100 ,R107 ,18711.11,1.09,65702,7,10,A +219,R300 ,R342 ,10912.68,0.64,63415,6,10,A +220,R100 ,R101 ,19106.85,1.11,86457,5,10,A +221,R300 ,R352 ,10463.51,0.61,72153,6,10,A +222,R200 ,R217 ,12018.7,0.7,77076,9,10,A +223,R100 ,R110 ,13154.64,0.77,73069,5,10,A +224,R100 ,R176 ,14574.35,0.85,64499,8,10,A +226,R200 ,R206 ,10126.04,0.59,78081,9,10,A +227,R200 ,R217 ,15610.25,0.91,75351,9,10,A +228,R200 ,R209 ,14994.32,0.87,65908,9,10,A +229,R200 ,R222 ,19104.43,1.11,71296,9,10,A +230,R200 ,R244 ,14022.91,0.82,75821,9,10,A +233,R300 ,R377 ,11728.62,0.68,77536,9,10,A +238,R100 ,R128 ,13388.86,0.78,65788,5,10,A +239,R100 ,R118 ,16367.14,0.95,66234,7,10,A +245,R200 ,R219 ,15621.46,0.91,66047,9,10,A +246,R200 ,R209 ,15074.4,0.88,75764,9,10,A +249,R200 ,R202 ,18977.52,1.11,65847,9,10,A +250,R200 ,R202 ,15300.04,0.89,66600,9,10,A +251,R300 ,R379 ,12822.92,0.75,73509,9,10,A +253,R100 ,R161 ,15975.28,0.93,49740,8,10,A +254,R300 ,R342 ,11721.89,0.68,49242,6,10,A +255,R300 ,R352 ,8613.77,0.5,65457,6,10,A +256,R100 ,R175 ,26823.57,1.56,72029,8,10,A +257,R200 ,R219 ,16386,0.96,75789,9,10,A +258,R200 ,R206 ,11366.3,0.66,66623,9,10,A +259,R200 ,R261 ,18550.29,1.08,80244,9,10,A +260,R100 ,R101 ,16117.45,0.94,63467,5,10,A +264,R300 ,R373 ,12624.49,0.74,61072,9,10,A +265,R300 ,R380 ,11977.66,0.7,81141,9,10,A +267,R200 ,R220 ,17884.67,1.04,81103,9,10,A +271,R100 ,R179 ,16025.48,0.93,76348,8,10,A +273,R200 ,R218 ,16760.95,0.98,76899,9,10,A +274,R200 ,R231 ,15577.34,0.91,71978,9,10,A +275,R200 ,R213 ,12949.36,0.76,66256,9,10,A +278,R100 ,R134 ,14748.05,0.86,75968,5,10,A +279,R100 ,R137 ,11085.89,0.65,77477,5,10,A +280,R100 ,R148 ,11631.64,0.68,76161,5,10,A +281,R100 ,R148 ,9908.12,0.58,78235,5,10,A +282,R100 ,R135 ,15323.94,0.89,73581,5,10,A +286,R200 ,R222 ,14255.01,0.83,61242,9,10,A +288,R200 ,R209 ,22006.37,1.28,81474,9,10,A +289,R200 ,R222 ,14292.38,0.83,61433,9,10,A +290,R200 ,R239 ,18461.78,1.08,86772,9,10,A +291,R200 ,R232 ,13020.93,0.76,60322,9,10,A +293,R200 ,R244 ,13748.59,0.8,62694,9,10,A +294,R200 ,R219 ,21871.31,1.28,80926,9,10,A +296,R200 ,R231 ,14391.37,0.84,67705,9,10,A +298,R200 ,R240 ,16823.13,0.98,80350,9,10,A +299,R200 ,R209 ,13201.29,0.77,65771,9,10,A +300,R200 ,R261 ,12684.69,0.74,63788,9,10,A +301,R200 ,R206 ,3620001.02,211.14,83815,9,10,A +302,R200 ,R263 ,14625.95,0.85,63132,9,10,A +303,R200 ,R261 ,14815.02,0.86,64181,9,10,A +304,R200 ,R231 ,13578.56,0.79,64076,9,10,A +305,R200 ,R231 ,15078.17,0.88,66946,9,10,A +307,R200 ,R205 ,12927.6,0.75,76103,9,10,A +309,R200 ,R240 ,13776.63,0.8,64878,9,10,A +310,R200 ,R246 ,14322.45,0.84,67605,9,10,A +311,R200 ,R220 ,18370.87,1.07,60950,9,10,A +312,R200 ,R220 ,17400.32,1.01,74884,9,10,A +313,R200 ,R246 ,22900.55,1.34,72559,9,10,A +314,R200 ,R213 ,13669.59,0.8,62438,9,10,A +317,R200 ,R208 ,23051.67,1.34,64525,9,10,A +318,R200 ,R208 ,18353.7,1.07,78674,9,10,A +319,R300 ,R379 ,13809.68,0.81,72008,9,10,A +320,R200 ,R210 ,27109.95,1.58,86991,9,10,A +321,R200 ,R210 ,16997.32,0.99,73450,9,10,A +322,R200 ,R210 ,17208.92,1,64752,9,10,A +323,R200 ,R233 ,15363.32,0.9,80548,9,10,A +324,R200 ,R233 ,21284.51,1.24,86940,9,10,A +328,R200 ,R237 ,43726.31,2.55,70781,9,10,A +330,R200 ,R247 ,12027.58,0.7,68082,9,10,A +331,R200 ,R247 ,17419.86,1.02,66921,9,10,A +332,R200 ,R247 ,12368.4,0.72,65852,9,10,A +335,R300 ,R305 ,11422.19,0.67,66727,6,10,A +336,R200 ,R202 ,21101.16,1.23,71527,9,10,A +337,R200 ,R264 ,14635.59,0.85,66550,10,10,A +338,R200 ,R264 ,16602.57,0.97,76473,10,10,A +339,R200 ,R265 ,16888.18,0.99,58755,10,10,A +341,R200 ,R259 ,22173.45,1.29,76337,10,10,A +342,R200 ,R259 ,15013.57,0.88,71806,10,10,A +343,R200 ,R258 ,13540.57,0.79,75090,10,10,A +344,R200 ,R258 ,19060.47,1.11,74577,10,10,A +345,R200 ,R258 ,19543.35,1.14,76378,10,10,A +346,R200 ,R260 ,22555.49,1.32,82049,10,10,A +347,R100 ,R135 ,11678.05,0.68,65415,5,10,A +348,R200 ,R264 ,16714.12,0.97,65578,10,10,A +349,R200 ,R262 ,14038.88,0.82,66290,10,10,A +350,R100 ,R135 ,12169.44,0.71,65379,5,10,A +351,R100 ,R134 ,12084.35,0.7,66018,5,10,A +353,R100 ,R137 ,12788.3,0.75,62972,5,10,A +354,R100 ,R148 ,13587.71,0.79,76345,5,10,A +355,R100 ,R144 ,11952.45,0.7,66017,7,10,A +356,R300 ,R378 ,16005.66,0.93,69067,6,10,A +357,R300 ,R378 ,16083.17,0.94,82732,6,10,A +358,R200 ,R213 ,15717.28,0.92,67402,9,10,A +359,R200 ,R205 ,22621.42,1.32,67096,9,10,A +360,R100 ,R163 ,13269.87,0.77,74426,5,10,A +361,R100 ,R137 ,10869.13,0.63,61750,5,10,A +362,R200 ,R258 ,11993.62,0.7,66740,10,10,A +363,R300 ,R377 ,17075.5,1,66706,9,10,A +364,R100 ,R146 ,15159.91,0.88,66271,5,10,A +365,R100 ,R137 ,13262.49,0.77,66062,5,10,A +366,R100 ,R168 ,17256.12,1.01,65990,4,10,A +373,R300 ,R334 ,14656.24,0.85,80648,4,10,A +397,R100 ,R136 ,12922.53,0.75,67248,5,10,A +530,R100 ,R107 ,19923.38,1.16,103457,7,10,A +531,R100 ,R144 ,16151.47,0.94,84704,7,10,A +532,R100 ,R107 ,17833.54,1.04,98036,7,10,A +533,R100 ,R127 ,34191.9,1.99,89039,7,10,A +604,R100 ,R136 ,14096.32,0.82,67111,5,10,A +606,R200 ,R262 ,17183.87,1,66151,10,10,A +607,R200 ,R262 ,14899.87,0.87,66057,10,10,A +608,R200 ,R260 ,15644.36,0.91,66405,10,10,A +609,R200 ,R260 ,11360.22,0.66,60279,10,10,A +610,R100 ,R136 ,11809.55,0.69,66444,5,10,A +611,R100 ,R137 ,11098.5,0.65,65653,5,10,A +612,R200 ,R260 ,16885.54,0.98,74348,10,10,A +613,R200 ,R260 ,12190.76,0.71,66333,10,10,A +614,R200 ,R250 ,12850.16,0.75,66231,9,10,A +615,R200 ,R208 ,13925.71,0.81,66575,9,10,A +616,R100 ,R137 ,10833.78,0.63,66576,5,10,A +617,R100 ,R161 ,20871.26,1.22,66088,10,10,A +618,R100 ,R177 ,12361,0.72,50149,8,10,A +619,R100 ,R126 ,19079.03,1.11,98794,5,10,A +620,R100 ,R111 ,14951.87,0.87,67544,5,10,A +622,R100 ,R148 ,11238.4,0.66,65458,5,10,A +623,R100 ,R148 ,14675.69,0.86,66573,5,10,A +624,R100 ,R148 ,11932.04,0.7,65750,5,10,A +625,R300 ,R378 ,15289.87,0.89,75376,6,10,A +626,R200 ,R237 ,13135.78,0.77,68252,9,10,A +627,R200 ,R259 ,14874.91,0.87,66207,10,10,A +628,R200 ,R262 ,18734.17,1.09,50594,10,10,A +632,R100 ,R134 ,11463.05,0.67,66097,5,10,A +634,R100 ,R148 ,15091.59,0.88,66189,5,10,A +636,R100 ,R161 ,16625.41,0.97,66748,10,10,A +637,R200 ,R259 ,13760.15,0.8,61785,10,10,A +638,R300 ,R318 ,12475.7,0.73,66168,4,10,A +639,R300 ,R374 ,12022.38,0.7,75334,9,10,A +641,R200 ,R213 ,15340.49,0.89,75407,9,10,A +642,R300 ,R310 ,16165.36,0.94,66799,4,10,A +643,R100 ,R163 ,19057.3,1.11,92458,5,10,A +645,R300 ,R315 ,11095.3,0.65,79182,4,10,A +647,R300 ,R313 ,13955.94,0.81,75669,4,10,A +649,R300 ,R324 ,15011.35,0.88,70602,4,10,A +650,R300 ,R365 ,10206.04,0.6,66253,4,10,A +652,R300 ,R314 ,13283.59,0.77,66845,4,10,A +654,R300 ,R354 ,15300.77,0.89,76687,4,10,A +655,R300 ,R314 ,13824.79,0.81,74609,4,10,A +656,R300 ,R314 ,11401.5,0.66,73212,4,10,A +657,R100 ,R114 ,16250.62,0.95,72026,5,10,A +658,R100 ,R143 ,13334.06,0.78,56072,5,10,A +659,R100 ,R114 ,14857.14,0.87,73784,5,10,A +660,R200 ,R248 ,18044.54,1.05,82029,9,10,A +661,R100 ,R131 ,11975.33,0.7,55260,5,10,A +662,R100 ,R102 ,12920.75,0.75,73838,5,10,A +663,R100 ,R111 ,14683.45,0.86,75436,5,10,A +664,R100 ,R131 ,28491.6,1.66,90014,5,10,A +665,R300 ,R354 ,12082.51,0.7,75447,4,10,A +666,R100 ,R173 ,18710.74,1.09,85468,5,10,A +669,R300 ,R315 ,13741.96,0.8,76207,4,10,A +670,R100 ,R147 ,17538.55,1.02,85753,5,10,A +671,R100 ,R136 ,15063.66,0.88,77104,5,10,A +672,R100 ,R135 ,9472.64,0.55,56980,5,10,A +673,R100 ,R148 ,12272.15,0.72,74994,5,10,A +674,R100 ,R117 ,11906.48,0.69,74825,5,10,A +675,R200 ,R247 ,12611.32,0.74,66790,9,10,A +676,R200 ,R245 ,12996.93,0.76,76516,9,10,A +677,R200 ,R244 ,15104.15,0.88,74961,9,10,A +679,R100 ,R161 ,13577.39,0.79,56269,10,10,A +680,R300 ,R380 ,12815.67,0.75,66975,9,10,A +681,R200 ,R259 ,14110.54,0.82,75520,10,10,A +682,R300 ,R332 ,14346.29,0.84,85748,4,10,A +684,R300 ,R304 ,14466.89,0.84,74003,6,10,A +685,R200 ,R219 ,14253.86,0.83,74776,9,10,A +686,R300 ,R359 ,13970.9,0.81,74939,4,10,A +687,R300 ,R324 ,22537.92,1.31,73964,4,10,A +688,R300 ,R313 ,13191.38,0.77,74889,4,10,A +689,R300 ,R360 ,11874.18,0.69,79256,4,10,A +690,R300 ,R320 ,12607.31,0.74,75475,4,10,A +692,R200 ,R212 ,16675.5,0.97,74657,9,10,A +693,R100 ,R131 ,14323.35,0.84,75068,5,10,A +694,R100 ,R102 ,19843.7,1.16,79452,5,10,A +695,R300 ,R369 ,18813.73,1.1,79827,4,10,A +696,R200 ,R264 ,11071.47,0.65,56332,10,10,A +699,R100 ,R178 ,15547.59,0.91,75653,10,10,A +700,R300 ,R376 ,13718.33,0.8,79122,9,10,A +731,R100 ,R133 ,14704.79,0.86,80185,5,10,A +732,R100 ,R121 ,16922.39,0.99,79893,5,10,A +733,R100 ,R147 ,11778.71,0.69,56463,5,10,A +734,R300 ,R348 ,13176.85,0.77,57593,4,10,A +735,R300 ,R376 ,9886.67,0.58,65587,9,10,A +736,R200 ,R232 ,14899.71,0.87,79654,9,10,A +737,R200 ,R211 ,11658.33,0.68,79226,9,10,A +738,R200 ,R218 ,12452.37,0.73,69457,9,10,A +739,R100 ,R177 ,15816.5,0.92,74947,8,10,A +740,R300 ,R348 ,13188.93,0.77,68100,4,10,A +746,R300 ,R349 ,17283.73,1.01,82780,4,10,A +747,R300 ,R346 ,12341.8,0.72,74525,4,10,A +749,R300 ,R335 ,10602.2,0.62,83248,4,10,A +750,R300 ,R348 ,16034.87,0.94,56541,4,10,A +751,R100 ,R126 ,12347.29,0.72,75151,5,10,A +752,R100 ,R118 ,12834.54,0.75,72085,7,10,A +753,R100 ,R112 ,14159.83,0.83,75137,5,10,A +754,R300 ,R331 ,13030.96,0.76,75437,4,10,A +755,R300 ,R371 ,17954.69,1.05,81291,4,10,A +756,R300 ,R351 ,12277.07,0.72,56090,4,10,A +757,R100 ,R140 ,11394.52,0.66,71676,4,10,A +758,R300 ,R321 ,9805.5,0.57,75314,6,10,A +759,R400 ,R466 ,13812.66,0.81,82346,3,10,A +760,R200 ,R265 ,12263.55,0.72,75243,10,10,A +761,R200 ,R205 ,12517.46,0.73,79627,9,10,A +762,R300 ,R355 ,13260.1,0.77,75079,4,10,A +766,R200 ,R258 ,15063.67,0.88,57588,10,10,A +767,R200 ,R206 ,11838.62,0.69,79816,9,10,A +768,R100 ,R178 ,14300.03,0.83,79041,8,10,A +769,R300 ,R374 ,12764.85,0.74,57193,6,10,A +770,R300 ,R321 ,33605.62,1.96,75023,6,10,A +771,R300 ,R327 ,12210.47,0.71,77443,6,10,A +772,R400 ,R466 ,14169.17,0.83,79977,3,10,A +773,R100 ,R140 ,10690.24,0.62,74470,5,10,A +774,R100 ,R167 ,13946.17,0.81,70113,7,10,A +775,R300 ,R302 ,11675,0.68,81270,6,10,A +778,R300 ,R336 ,11251.62,0.66,83741,4,10,A +779,R100 ,R168 ,10057.59,0.59,55763,4,10,A +780,R100 ,R168 ,14748.17,0.86,75680,4,10,A +792,R100 ,R174 ,12913.43,0.75,83730,5,10,A +793,R100 ,R171 ,12900.57,0.75,82156,5,10,A +794,R100 ,R171 ,18977.98,1.11,80586,5,10,A +795,R300 ,R351 ,12827.42,0.75,74892,4,10,A +796,R300 ,R335 ,12221.83,0.71,62396,4,10,A +797,R300 ,R359 ,11817.54,0.69,75447,4,10,A +798,R300 ,R314 ,11531.76,0.67,83273,4,10,A +799,R300 ,R354 ,14277.17,0.83,80716,4,10,A +800,R300 ,R304 ,15227.79,0.89,75364,6,10,A +801,R300 ,R305 ,12687.79,0.74,74903,6,10,A +802,R300 ,R305 ,10382.85,0.61,81104,6,10,A +803,R100 ,R105 ,12177.95,0.71,73609,7,10,A +804,R100 ,R111 ,14030.28,0.82,95593,7,10,A +805,R100 ,R146 ,11351.29,0.66,55502,5,10,A +806,R100 ,R146 ,11181.7,0.65,55848,5,10,A +807,R100 ,R128 ,14802.49,0.86,75358,5,10,A +808,R100 ,R128 ,14435.58,0.84,76023,5,10,A +809,R100 ,R146 ,14463.27,0.84,75443,5,10,A +810,R100 ,R150 ,18293.01,1.07,79359,5,10,A +811,R300 ,R348 ,11270.38,0.66,74535,4,10,A +812,R300 ,R354 ,13458.47,0.78,76779,4,10,A +813,R300 ,R320 ,12430.83,0.73,83627,4,10,A +815,R300 ,R318 ,18275.95,1.07,93937,4,10,A +816,R300 ,R360 ,16732.91,0.98,83497,4,10,A +817,R300 ,R354 ,12219.45,0.71,74986,4,10,A +818,R300 ,R320 ,16331.83,0.95,95399,4,10,A +819,R100 ,R134 ,14761.37,0.86,75749,5,10,A +820,R100 ,R124 ,13094,0.76,74449,5,10,A +821,R100 ,R114 ,13080.87,0.76,55736,5,10,A +822,R300 ,R374 ,13598.9,0.79,73133,6,10,A +823,R300 ,R374 ,10773.36,0.63,73354,6,10,A +824,R300 ,R305 ,16570.77,0.97,73531,6,10,A +825,R300 ,R375 ,21786.15,1.27,82399,9,10,A +826,R300 ,R373 ,14130.02,0.82,77967,9,10,A +827,R200 ,R247 ,14627.47,0.85,77096,9,10,A +828,R200 ,R237 ,14267.82,0.83,79853,9,10,A +830,R200 ,R265 ,14285.9,0.83,75195,10,10,A +831,R100 ,R176 ,9757.66,0.57,54546,7,10,A +832,R300 ,R378 ,10729.06,0.63,54430,6,10,A +833,R100 ,R112 ,21095.08,1.23,94531,5,10,A +834,R100 ,R122 ,10162.99,0.59,74093,5,10,A +835,R100 ,R122 ,17435.22,1.02,95756,5,10,A +836,R100 ,R122 ,18008.8,1.05,94990,5,10,A +837,R100 ,R141 ,18986.37,1.11,74725,5,10,A +838,R100 ,R115 ,16768.37,0.98,77118,5,10,A +839,R100 ,R115 ,16029.09,0.93,81683,5,10,A +840,R100 ,R115 ,18403.36,1.07,94895,5,10,A +841,R100 ,R145 ,14517.66,0.85,73806,5,10,A +842,R100 ,R121 ,13751.94,0.8,81006,5,10,A +843,R100 ,R121 ,19472.96,1.14,73299,5,10,A +844,R300 ,R348 ,18103.13,1.06,79801,4,10,A +845,R300 ,R313 ,12493.38,0.73,75701,4,10,A +847,R100 ,R114 ,17040.68,0.99,82758,5,10,A +848,R100 ,R143 ,11848.11,0.69,56972,8,10,A +849,R300 ,R374 ,15576.15,0.91,73085,6,10,A +850,R300 ,R373 ,12381.32,0.72,75112,9,10,A +851,R300 ,R375 ,10456.67,0.61,79594,9,10,A +852,R200 ,R212 ,13930.61,0.81,75152,9,10,A +853,R200 ,R246 ,14804.51,0.86,80007,9,10,A +854,R300 ,R376 ,12662.51,0.74,79382,9,10,A +855,R300 ,R376 ,12077.75,0.7,75102,9,10,A +856,R100 ,R107 ,11568.85,0.67,56822,7,10,A +857,R100 ,R107 ,12676.07,0.74,72247,7,10,A +858,R300 ,R364 ,12123.38,0.71,81664,6,10,A +859,R100 ,R143 ,11344.36,0.66,56053,8,10,A +860,R100 ,R127 ,10387.94,0.61,57143,7,10,A +861,R100 ,R131 ,14089.19,0.82,69349,5,10,A +862,R100 ,R101 ,17025.68,0.99,75690,5,10,A +863,R100 ,R128 ,16827.45,0.98,75267,5,10,A +864,R100 ,R110 ,13243.49,0.77,57323,5,10,A +865,R100 ,R150 ,16207.49,0.95,74598,5,10,A +866,R100 ,R121 ,17452.99,1.02,74472,5,10,A +867,R100 ,R115 ,15276.27,0.89,78734,5,10,A +868,R100 ,R145 ,13700.88,0.8,72395,5,10,A +870,R100 ,R133 ,14944.44,0.87,73340,5,10,A +871,R100 ,R147 ,14713.99,0.86,75927,5,10,A +872,R100 ,R137 ,19656.7,1.15,83744,5,10,A +873,R300 ,R324 ,14953.98,0.87,82790,4,10,A +874,R300 ,R313 ,11707.98,0.68,78991,4,10,A +875,R300 ,R352 ,8397.58,0.49,80019,6,10,A +876,R300 ,R321 ,7788.55,0.45,75175,6,10,A +877,R300 ,R367 ,15207.69,0.89,79749,4,10,A +878,R100 ,R105 ,12148.5,0.71,70402,7,10,A +879,R100 ,R107 ,10502.31,0.61,57554,7,10,A +880,R100 ,R122 ,14841.71,0.87,81730,5,10,A +881,R100 ,R138 ,10260.59,0.6,75977,5,10,A +882,R300 ,R303 ,13883.89,0.81,75518,6,10,A +883,R200 ,R236 ,25053.52,1.46,80938,9,10,A +884,R300 ,R377 ,12522.09,0.73,56068,9,10,A +885,R100 ,R161 ,22473.63,1.31,83090,8,10,A +887,R300 ,R303 ,11557.09,0.67,57918,6,10,A +888,R300 ,R311 ,11238.45,0.66,70353,6,10,A +891,R100 ,R127 ,10641.29,0.62,56494,5,10,A +893,R100 ,R122 ,9777.19,0.57,75476,5,10,A +894,R100 ,R121 ,12858.27,0.75,75096,5,10,A +895,R100 ,R147 ,14090.52,0.82,68150,5,10,A +896,R100 ,R135 ,15066.37,0.88,75471,5,10,A +897,R300 ,R313 ,15443.46,0.9,79188,4,10,A +898,R300 ,R313 ,11953.84,0.7,79408,4,10,A +899,R300 ,R320 ,15640.01,0.91,79414,4,10,A +901,R100 ,R136 ,13281.67,0.77,83241,5,10,A +904,R100 ,R114 ,15871.84,0.93,83109,5,10,A +905,R100 ,R129 ,11363.9,0.66,56016,7,10,A +906,R100 ,R129 ,9824.93,0.57,56320,7,10,A +907,R300 ,R364 ,12520.79,0.73,75033,6,10,A +909,R300 ,R379 ,20735.77,1.21,78678,9,10,A +910,R200 ,R258 ,17719.57,1.03,74972,10,10,A +911,R200 ,R213 ,14027.57,0.82,83015,9,10,A +912,R200 ,R206 ,12509.72,0.73,79722,9,10,A +913,R200 ,R261 ,21092.98,1.23,80793,9,10,A +914,R200 ,R261 ,17387.01,1.01,84371,9,10,A +915,R100 ,R161 ,12881.37,0.75,57131,10,10,A +917,R300 ,R346 ,16139.13,0.94,79750,4,10,A +918,R300 ,R355 ,16759.65,0.98,79977,4,10,A +919,R300 ,R314 ,10185.33,0.59,68358,4,10,A +920,R300 ,R367 ,13588.43,0.79,79375,4,10,A +921,R300 ,R332 ,15469.82,0.9,58807,4,10,A +922,R100 ,R137 ,14012.34,0.82,77171,5,10,A +923,R100 ,R148 ,14182.56,0.83,70222,5,10,A +924,R100 ,R136 ,10767.7,0.63,56887,5,10,A +926,R100 ,R127 ,13836.29,0.81,65842,5,10,A +927,R100 ,R141 ,15681.73,0.91,83590,5,10,A +928,R100 ,R141 ,15850.61,0.92,87622,5,10,A +929,R100 ,R147 ,15001.34,0.87,70197,5,10,A +930,R100 ,R114 ,14711.92,0.86,67846,5,10,A +931,R100 ,R102 ,15310.65,0.89,75660,5,10,A +935,R300 ,R377 ,17339.27,1.01,64122,9,10,A +936,R300 ,R377 ,16544.2,0.96,79521,9,10,A +937,R200 ,R212 ,20063.99,1.17,85010,9,10,A +938,R200 ,R218 ,13301.26,0.78,80066,9,10,A +939,R200 ,R248 ,16711.96,0.97,80185,9,10,A +940,R200 ,R205 ,16258.42,0.95,79973,9,10,A +941,R200 ,R245 ,16124.66,0.94,67592,9,10,A +942,R100 ,R116 ,38219.99,2.23,96940,5,10,A +943,R100 ,R147 ,18371.27,1.07,75469,5,10,A +945,R100 ,R134 ,11838.7,0.69,59155,5,10,A +947,R300 ,R352 ,8226.42,0.48,79824,6,10,A +949,R200 ,R237 ,17603.78,1.03,85097,9,10,A +950,R300 ,R379 ,13406.43,0.78,80012,9,10,A +952,R300 ,R378 ,11938.23,0.7,66270,6,10,A +953,R300 ,R304 ,10603.24,0.62,56116,6,10,A +955,R300 ,R311 ,19753.34,1.15,74365,6,10,A +957,R100 ,R115 ,11458.47,0.67,73816,5,10,A +958,R300 ,R333 ,10952.48,0.64,56754,4,10,A +959,R300 ,R333 ,9755.63,0.57,56667,4,10,A +961,R300 ,R372 ,17747.27,1.04,81510,4,10,A +962,R300 ,R371 ,11205.51,0.65,70079,4,10,A +963,R300 ,R350 ,11458.97,0.67,58489,4,10,A +964,R300 ,R371 ,11376.51,0.66,70045,4,10,A +966,R300 ,R362 ,9217.09,0.54,62214,4,10,A +967,R300 ,R315 ,14439.93,0.84,70385,4,10,A +968,R300 ,R349 ,20125.68,1.17,83082,4,10,A +969,R300 ,R334 ,9875.95,0.58,57011,4,10,A +970,R300 ,R335 ,14499.95,0.85,75908,4,10,A +981,R300 ,R334 ,13241.83,0.77,79540,4,10,A +982,R300 ,R335 ,11540.62,0.67,74821,4,10,A +984,R100 ,R171 ,14974.6,0.87,68595,5,10,A +985,R100 ,R174 ,14832.65,0.87,75672,5,10,A +986,R100 ,R171 ,11025.8,0.64,57584,5,10,A +988,R100 ,R170 ,12355.24,0.72,63054,5,10,A +989,R100 ,R169 ,11680.45,0.68,58275,5,10,A +990,R100 ,R169 ,10210.04,0.6,57146,5,10,A +992,R100 ,R117 ,14328.27,0.84,65440,7,10,A +993,R300 ,R364 ,13744.05,0.8,74276,6,10,A +995,R200 ,R264 ,20885.95,1.22,82546,10,10,A +996,R200 ,R265 ,16589.49,0.97,75233,10,10,A +997,R200 ,R201 ,15421.41,0.9,84558,9,10,A +1000,R400 ,R411 ,14057.39,0.82,74789,3,10,A +1001,R400 ,R411 ,13268.69,0.77,87398,3,10,A +1002,R400 ,R411 ,16054.98,0.94,84630,3,10,A +1003,R400 ,R415 ,14109.36,0.82,82540,3,10,A +1004,R400 ,R415 ,11784.21,0.69,79136,3,10,A +1005,R400 ,R466 ,12042.22,0.7,68204,3,10,A +1006,R400 ,R412 ,17199.14,1,82372,3,10,A +1007,R400 ,R448 ,14373.35,0.84,82088,3,10,A +1008,R400 ,R415 ,13985.06,0.82,83379,3,10,A +1009,R400 ,R441 ,14171.18,0.83,74705,3,10,A +1010,R400 ,R416 ,14718.4,0.86,82060,2,10,A +1011,R400 ,R416 ,12925.4,0.75,75375,2,10,A +1012,R400 ,R416 ,11941.58,0.7,74898,2,10,A +1013,R400 ,R416 ,13957.03,0.81,74932,2,10,A +1014,R400 ,R416 ,11156.08,0.65,75024,2,10,A +1015,R300 ,R371 ,15384.24,0.9,71263,4,10,A +1016,R400 ,R417 ,13455.75,0.78,75665,3,10,A +1017,R400 ,R417 ,12332.08,0.72,69990,3,10,A +1018,R400 ,R417 ,20712.37,1.21,82804,3,10,A +1019,R400 ,R417 ,11427,0.67,83081,3,10,A +1021,R300 ,R370 ,14852.7,0.87,76304,3,10,A +1022,R300 ,R371 ,13437.58,0.78,57277,4,10,A +1023,R300 ,R354 ,15593.41,0.91,85795,4,10,A +1024,R100 ,R115 ,21665.05,1.26,84615,5,10,A +1025,R200 ,R246 ,13903.17,0.81,81194,9,10,A +1026,R200 ,R247 ,12856.44,0.75,75357,9,10,A +1027,R200 ,R240 ,21268.54,1.24,81889,9,10,A +1028,R200 ,R217 ,15093.6,0.88,83790,9,10,A +1029,R200 ,R231 ,23800.31,1.39,87063,9,10,A +1030,R300 ,R332 ,15032.77,0.88,82969,4,10,A +1031,R100 ,R167 ,21315.47,1.24,83823,7,10,A +1032,R300 ,R352 ,9621.68,0.56,79793,6,10,A +1033,R200 ,R263 ,13752.57,0.8,74564,9,10,A +1034,R300 ,R378 ,15048.36,0.88,80008,6,10,A +1035,R100 ,R118 ,16421.83,0.96,79010,7,10,A +1036,R100 ,R150 ,15931.75,0.93,75424,5,10,A +1037,R100 ,R172 ,13312.31,0.78,72938,5,10,A +1038,R300 ,R367 ,20952.9,1.22,82276,4,10,A +1039,R300 ,R349 ,21585.09,1.26,75780,4,10,A +1040,R200 ,R261 ,17256.26,1.01,82212,9,10,A +1041,R400 ,R417 ,13848.16,0.81,83308,3,10,A +1042,R400 ,R448 ,22541.27,1.31,74488,3,10,A +1043,R400 ,R411 ,9674.19,0.56,57629,3,10,A +1044,R400 ,R448 ,18648.55,1.09,74381,3,10,A +1045,R400 ,R411 ,12697.34,0.74,57680,3,10,A +1046,R400 ,R448 ,15008.95,0.88,74546,3,10,A +1047,R300 ,R370 ,17068.33,1,84460,3,10,A +1048,R300 ,R370 ,12571.53,0.73,89661,3,10,A +1049,R400 ,R417 ,19411.15,1.13,83480,3,10,A +1050,R300 ,R360 ,13629.29,0.79,78543,4,10,A +1051,R300 ,R354 ,14358.95,0.84,57784,4,10,A +1052,R100 ,R136 ,13649.62,0.8,83128,5,10,A +1053,R300 ,R360 ,10981.1,0.64,81251,4,10,A +1054,R200 ,R210 ,16034.08,0.94,79288,9,10,A +1055,R400 ,R419 ,15761.67,0.92,74162,2,10,A +1056,R400 ,R467 ,19275.98,1.12,81604,2,10,A +1057,R400 ,R416 ,19422.2,1.13,85123,2,10,A +1058,R100 ,R169 ,26827.81,1.56,77525,5,10,A +1059,R300 ,R333 ,11100.21,0.65,76026,4,10,A +1060,R100 ,R146 ,18741.09,1.09,85682,5,10,A +1061,R300 ,R322 ,27634.12,1.61,77934,6,10,A +1062,R200 ,R245 ,19180.99,1.12,84643,9,10,A +1063,R100 ,R138 ,15725.63,0.92,75663,5,10,A +1064,R200 ,R265 ,11304.91,0.66,56919,10,10,A +1065,R300 ,R302 ,8036.52,0.47,78622,6,10,A +1066,R300 ,R341 ,10094.74,0.59,82977,6,10,A +1068,R100 ,R111 ,11222.77,0.65,54672,5,10,A +1069,R100 ,R146 ,13950.53,0.81,85092,5,10,A +1070,R100 ,R150 ,11085.66,0.65,58193,5,10,A +1071,R100 ,R168 ,14238.13,0.83,79308,4,10,A +1072,R100 ,R169 ,20588.88,1.2,84598,5,10,A +1073,R300 ,R336 ,10449.04,0.61,55976,4,10,A +1074,R300 ,R367 ,15783.12,0.92,75181,4,10,A +1075,R300 ,R349 ,11196.88,0.65,74087,4,10,A +1076,R400 ,R412 ,22054.33,1.29,79882,3,10,A +1077,R300 ,R358 ,12022.74,0.7,75830,4,10,A +1078,R300 ,R358 ,12216.56,0.71,80443,4,10,A +1079,R300 ,R358 ,10462.42,0.61,57122,4,10,A +1080,R300 ,R372 ,12041.19,0.7,79206,4,10,A +1081,R300 ,R362 ,10805.16,0.63,78940,4,10,A +1082,R100 ,R178 ,13987.89,0.82,56530,10,10,A +1083,R400 ,R451 ,10262.03,0.6,78939,2,10,A +1084,R400 ,R419 ,14913.21,0.87,73647,2,10,A +1085,R400 ,R422 ,17797.87,1.04,76086,2,10,A +1086,R300 ,R358 ,14044.87,0.82,79541,4,10,A +1087,R300 ,R355 ,14673.58,0.86,80952,4,10,A +1088,R400 ,R441 ,18484.7,1.08,81178,3,10,A +1090,R300 ,R337 ,15288.34,0.89,84845,4,10,A +1091,R100 ,R172 ,14574.08,0.85,81192,5,10,A +1092,R100 ,R172 ,16969.16,0.99,83984,5,10,A +1094,R100 ,R168 ,13793.7,0.8,78733,4,10,A +1095,R100 ,R126 ,14865.29,0.87,82374,5,10,A +1096,R100 ,R111 ,12782.47,0.75,66120,5,10,A +1097,R200 ,R208 ,14637.24,0.85,67586,9,10,A +1098,R200 ,R220 ,13887.15,0.81,83914,9,10,A +1100,R200 ,R240 ,21448.34,1.25,83303,9,10,A +1101,R100 ,R117 ,14793.07,0.86,78536,7,10,A +1102,R100 ,R118 ,23101.55,1.35,87697,7,10,A +1103,R300 ,R370 ,25616.65,1.49,84246,3,10,A +1104,R300 ,R371 ,11324.7,0.66,78459,4,10,A +1105,R300 ,R370 ,12581.38,0.73,79341,3,10,A +1106,R300 ,R334 ,11322.44,0.66,78249,4,10,A +1107,R300 ,R371 ,14886.03,0.87,79096,4,10,A +1108,R400 ,R424 ,11003.09,0.64,73761,2,10,A +1109,R400 ,R450 ,14145,0.83,79394,2,10,A +1110,R300 ,R310 ,12190.37,0.71,78641,4,10,A +1112,R100 ,R170 ,14990.05,0.87,77496,5,10,A +1113,R100 ,R127 ,20601.29,1.2,78812,7,10,A +1114,R100 ,R167 ,13789.7,0.8,83990,6,10,A +1115,R300 ,R304 ,12955.25,0.76,78319,6,10,A +1116,R300 ,R306 ,10543.9,0.61,79008,6,10,A +1117,R300 ,R378 ,13617.13,0.79,78255,6,10,A +1118,R200 ,R264 ,22466.87,1.31,79799,10,10,A +1120,R200 ,R240 ,13126.34,0.77,70788,9,10,A +1121,R200 ,R220 ,22210.7,1.3,83934,9,10,A +1122,R200 ,R210 ,18475.35,1.08,81029,9,10,A +1124,R300 ,R364 ,12002.15,0.7,79023,6,10,A +1125,R100 ,R112 ,12638.07,0.74,62204,5,10,A +1126,R300 ,R333 ,13139.84,0.77,78886,4,10,A +1128,R100 ,R173 ,14548.73,0.85,80305,5,10,A +1129,R100 ,R173 ,13539.23,0.79,79721,5,10,A +1131,R300 ,R354 ,14374.63,0.84,78799,4,10,A +1132,R400 ,R422 ,14373.61,0.84,84626,2,10,A +1133,R400 ,R422 ,14022.38,0.82,79655,2,10,A +1134,R400 ,R453 ,15159.2,0.88,78859,3,10,A +1135,R400 ,R462 ,19665.56,1.15,85269,3,10,A +1136,R400 ,R453 ,13097.71,0.76,78977,3,10,A +1137,R400 ,R448 ,15243.67,0.89,78353,3,10,A +1138,R400 ,R448 ,17921.49,1.05,85901,3,10,A +1139,R400 ,R455 ,27999.72,1.63,89058,2,10,A +1140,R200 ,R201 ,16988.81,0.99,80860,9,10,A +1141,R300 ,R377 ,12812.43,0.75,79106,9,10,A +1142,R400 ,R411 ,15035.9,0.88,82658,3,10,A +1143,R200 ,R245 ,12793.1,0.75,79506,9,10,A +1144,R100 ,R124 ,21673.35,1.26,81623,5,10,A +1146,R400 ,R453 ,33031.59,1.93,80804,3,10,A +1147,R400 ,R455 ,14760.76,0.86,79867,2,10,A +1148,R400 ,R424 ,13470.5,0.79,81984,2,10,A +1150,R400 ,R469 ,25788.59,1.5,83349,2,10,A +1151,R400 ,R450 ,15274.37,0.89,79397,2,10,A +1152,R400 ,R419 ,13937.29,0.81,79011,2,10,A +1153,R400 ,R450 ,23008.64,1.34,84564,2,10,A +1154,R400 ,R450 ,16797.18,0.98,78819,2,10,A +1155,R400 ,R419 ,13177.32,0.77,80978,2,10,A +1156,R400 ,R467 ,17689.87,1.03,79459,2,10,A +1157,R400 ,R416 ,13734.36,0.8,79557,2,10,A +1158,R400 ,R422 ,13956.47,0.81,79348,2,10,A +1159,R400 ,R421 ,18608.6,1.09,82152,3,10,A +1160,R400 ,R430 ,11125.02,0.65,62480,3,10,A +1161,R300 ,R370 ,13171.81,0.77,79065,3,10,A +1162,R400 ,R457 ,14130.48,0.82,79301,3,10,A +1163,R300 ,R318 ,18493.36,1.08,84345,4,10,A +1164,R300 ,R336 ,10590.98,0.62,78743,4,10,A +1165,R300 ,R334 ,12077.48,0.7,79712,4,10,A +1166,R100 ,R150 ,14064.14,0.82,78521,5,10,A +1167,R100 ,R112 ,17379.38,1.01,80765,5,10,A +1168,R100 ,R112 ,18790.14,1.1,81642,5,10,A +1169,R300 ,R332 ,11280.83,0.66,78478,4,10,A +1170,R100 ,R105 ,15595.7,0.91,78914,7,10,A +1171,R300 ,R380 ,17415.95,1.02,82328,9,10,A +1172,R300 ,R336 ,9759.44,0.57,62950,4,10,A +1175,R400 ,R446 ,18480.61,1.08,76110,2,10,A +1176,R100 ,R112 ,17171.21,1,77791,5,10,A +1177,R100 ,R123 ,15118.3,0.88,79774,7,10,A +1178,R100 ,R176 ,12340.5,0.72,78861,8,10,A +1179,R300 ,R340 ,15139.54,0.88,78851,4,10,A +1180,R300 ,R358 ,13044.07,0.76,79698,4,10,A +1181,R300 ,R362 ,10450.84,0.61,79400,4,10,A +1182,R300 ,R337 ,16836.04,0.98,79479,4,10,A +1183,R400 ,R462 ,13107.52,0.76,79279,3,10,A +1184,R400 ,R450 ,9849.95,0.57,80286,2,10,A +1185,R100 ,R126 ,17363.88,1.01,81612,5,10,A +1186,R400 ,R452 ,15409.89,0.9,74371,1,10,A +1187,R400 ,R452 ,20348.66,1.19,77961,1,10,A +1188,R400 ,R428 ,13428.24,0.78,79648,1,10,A +1189,R400 ,R428 ,14250.59,0.83,79736,1,10,A +1190,R400 ,R470 ,12793.33,0.75,79611,1,10,A +1191,R400 ,R424 ,12364.48,0.72,80719,2,10,A +1192,R400 ,R450 ,14769.51,0.86,74289,2,10,A +1193,R400 ,R448 ,19389.97,1.13,85733,3,10,A +1194,R400 ,R416 ,13524.5,0.79,80037,2,10,A +1195,R400 ,R467 ,14231.23,0.83,80267,2,10,A +1196,R400 ,R421 ,15065.12,0.88,80017,3,10,A +1197,R300 ,R335 ,21077.27,1.23,80742,4,10,A +1198,R300 ,R337 ,13790.65,0.8,79458,4,10,A +1199,R300 ,R337 ,12523.74,0.73,79304,4,10,A +1200,R100 ,R172 ,13295.01,0.78,79646,4,10,A +1201,R100 ,R123 ,13544,0.79,81430,7,10,A +1204,R300 ,R327 ,11405.33,0.67,79878,6,10,A +1205,R200 ,R262 ,14477.44,0.84,80534,10,10,A +1206,R300 ,R346 ,14214.46,0.83,80243,4,10,A +1207,R300 ,R373 ,20865.33,1.22,82256,9,10,A +1208,R200 ,R211 ,22029.06,1.28,82114,9,10,A +1209,R300 ,R379 ,14094.86,0.82,80224,9,10,A +1210,R100 ,R131 ,10714.23,0.62,79360,5,10,A +1211,R100 ,R111 ,14078.84,0.82,80387,5,10,A +1212,R100 ,R128 ,14011.98,0.82,63259,5,10,A +1213,R100 ,R121 ,12974.21,0.76,79146,5,10,A +1214,R100 ,R140 ,8109.67,0.47,79013,5,10,A +1215,R100 ,R174 ,10601.42,0.62,79046,5,10,A +1216,R400 ,R454 ,14410.69,0.84,79294,3,10,A +1217,R400 ,R430 ,16143.12,0.94,80165,3,10,A +1218,R400 ,R430 ,11138.91,0.65,79979,3,10,A +1219,R400 ,R454 ,15455.74,0.9,79945,3,10,A +1220,R400 ,R454 ,12999.54,0.76,79354,3,10,A +1221,R400 ,R431 ,13904,0.81,79928,3,10,A +1222,R400 ,R431 ,16531.44,0.96,80225,3,10,A +1223,R300 ,R336 ,14408.13,0.84,80433,4,10,A +1224,R400 ,R419 ,10164.62,0.59,81838,2,10,A +1225,R400 ,R417 ,13041.87,0.76,80551,3,10,A +1226,R300 ,R371 ,11064.58,0.65,63020,4,10,A +1227,R400 ,R447 ,11871.08,0.69,79768,1,10,A +1228,R400 ,R468 ,17561.85,1.02,80552,1,10,A +1229,R400 ,R452 ,18859.41,1.1,83211,1,10,A +1230,R100 ,R161 ,19998.5,1.17,79519,10,10,A +1231,R300 ,R302 ,9206.64,0.54,79375,6,10,A +1232,R400 ,R439 ,14797.27,0.86,87986,1,10,A +1233,R400 ,R415 ,11725.46,0.68,62042,3,10,A +1234,R400 ,R457 ,13125.97,0.77,79367,3,10,A +1235,R100 ,R102 ,14789.14,0.86,78414,5,10,A +1236,R100 ,R173 ,16660.4,0.97,81797,5,10,A +1237,R100 ,R161 ,24438.29,1.43,78241,8,10,A +1238,R200 ,R202 ,18677.19,1.09,79905,9,10,A +1239,R200 ,R220 ,11286.18,0.66,79193,9,10,A +1241,R100 ,R118 ,14363.32,0.84,79052,7,10,A +1242,R300 ,R375 ,14528.31,0.85,81165,9,10,A +1244,R100 ,R124 ,13415.1,0.78,81303,5,10,A +1246,R100 ,R128 ,10999.6,0.64,63183,5,10,A +1247,R100 ,R128 ,16005.53,0.93,83242,5,10,A +1248,R100 ,R128 ,15318.3,0.89,79830,5,10,A +1249,R400 ,R439 ,14685.61,0.86,81453,1,10,A +1250,R300 ,R351 ,12324.57,0.72,80155,4,10,A +1251,R100 ,R134 ,14639.79,0.85,81741,5,10,A +1252,R100 ,R173 ,14030.26,0.82,81000,5,10,A +1253,R400 ,R454 ,14300.85,0.83,81697,3,10,A +1254,R400 ,R431 ,15113.43,0.88,80391,3,10,A +1255,R400 ,R439 ,16585.27,0.97,81167,1,10,A +1256,R400 ,R421 ,14669.22,0.86,82210,3,10,A +1257,R400 ,R448 ,13004.29,0.76,63664,3,10,A +1258,R400 ,R415 ,14006.86,0.82,80424,3,10,A +1259,R400 ,R430 ,14837.91,0.87,80493,3,10,A +1260,R400 ,R461 ,14254.66,0.83,79752,3,10,A +1261,R100 ,R169 ,17535.15,1.02,80978,3,10,A +1263,R400 ,R446 ,11517.84,0.67,71425,2,10,A +1264,R400 ,R455 ,17426.34,1.02,82748,2,10,A +1265,R400 ,R411 ,13676.07,0.8,80181,3,10,A +1266,R400 ,R452 ,17968.16,1.05,83686,1,10,A +1267,R400 ,R439 ,14506.19,0.85,80481,1,10,A +1268,R400 ,R438 ,16958.27,0.99,79959,2,10,A +1269,R400 ,R421 ,18921.78,1.1,82963,3,10,A +1270,R400 ,R454 ,13033.07,0.76,78340,3,10,A +1271,R400 ,R438 ,17143.28,1,80121,2,10,A +1272,R100 ,R101 ,15188.72,0.89,80758,5,10,A +1273,R300 ,R359 ,13815.79,0.81,79850,4,10,A +1274,R300 ,R359 ,12682.06,0.74,78868,4,10,A +1275,R400 ,R457 ,15737.15,0.92,80027,3,10,A +1278,R100 ,R117 ,13831.31,0.81,79474,7,10,A +1279,R100 ,R117 ,14764.1,0.86,81064,7,10,A +1280,R100 ,R118 ,16188.82,0.94,80452,7,10,A +1281,R400 ,R468 ,12969.39,0.76,81367,1,10,A +1282,R100 ,R161 ,12354.55,0.72,56298,8,10,A +1283,R200 ,R205 ,15097.95,0.88,79886,9,10,A +1284,R200 ,R264 ,25793.89,1.5,82810,10,10,A +1285,R100 ,R148 ,14530.65,0.85,80626,5,10,A +1286,R100 ,R133 ,15769.99,0.92,80906,5,10,A +1287,R100 ,R170 ,13921.28,0.81,81542,3,10,A +1288,R400 ,R430 ,15454.86,0.9,80472,3,10,A +1289,R400 ,R439 ,19364.94,1.13,81467,1,10,A +1290,R400 ,R452 ,11960.35,0.7,63834,1,10,A +1291,R400 ,R421 ,12250.01,0.71,80365,3,10,A +1292,R400 ,R457 ,16208.91,0.95,79934,3,10,A +1293,R200 ,R202 ,22852.88,1.33,85522,9,10,A +1294,R300 ,R313 ,17682.77,1.03,79679,4,10,A +1295,R400 ,R412 ,13334.85,0.78,79468,3,10,A +1296,R400 ,R451 ,16585.17,0.97,79249,2,10,A +1298,R300 ,R350 ,14447.75,0.84,79876,4,10,A +1299,R300 ,R314 ,15354.12,0.9,79715,4,10,A +1300,R300 ,R315 ,15217.94,0.89,80226,4,10,A +1301,R100 ,R171 ,14515.28,0.85,80208,5,10,A +1302,R300 ,R333 ,23175.96,1.35,79567,4,10,A +1303,R100 ,R124 ,13451.41,0.78,81107,5,10,A +1304,R200 ,R218 ,16774.45,0.98,81102,9,10,A +1305,R200 ,R222 ,20472.84,1.19,86040,9,10,A +1306,R200 ,R204 ,32559.93,1.9,91970,9,10,A +1307,R200 ,R209 ,21987.41,1.28,83980,9,10,A +1308,R400 ,R470 ,18482.67,1.08,83345,1,10,A +1309,R200 ,R209 ,15277.8,0.89,81646,9,10,A +1310,R300 ,R337 ,11012.4,0.64,79479,4,10,A +1311,R100 ,R110 ,14029.58,0.82,82227,5,10,A +1312,R400 ,R453 ,14622.92,0.85,80088,3,10,A +1313,R100 ,R135 ,23476.69,1.37,86317,5,10,A +1314,R100 ,R117 ,14457.01,0.84,80920,7,10,A +1315,R400 ,R419 ,11562.07,0.67,80625,2,10,A +1316,R300 ,R376 ,13610.25,0.79,80978,9,10,A +1317,R100 ,R148 ,12925.82,0.75,81033,5,10,A +1318,R400 ,R451 ,16736.78,0.98,78508,2,10,A +1319,R300 ,R337 ,12855.22,0.75,80331,4,10,A +1322,R300 ,R369 ,13086.18,0.76,79663,4,10,A +1323,R100 ,R122 ,14305.24,0.83,95195,5,10,A +1324,R100 ,R170 ,13496.36,0.79,81663,5,10,A +1325,R100 ,R174 ,14430.11,0.84,81330,5,10,A +1326,R100 ,R177 ,15237.48,0.89,79425,8,10,A +1327,R300 ,R377 ,12630.56,0.74,80721,9,10,A +1328,R200 ,R222 ,23358.4,1.36,81521,9,10,A +1329,R200 ,R239 ,17148.27,1,82561,9,10,A +1330,R400 ,R446 ,15806.71,0.92,80652,2,10,A +1331,R200 ,R264 ,14018.96,0.82,81655,10,10,A +1332,R200 ,R236 ,21445.53,1.25,82277,9,10,A +1333,R100 ,R161 ,16263.73,0.95,79126,8,10,A +1334,R100 ,R128 ,17864.74,1.04,80908,5,10,A +1335,R300 ,R375 ,15171.29,0.88,80519,9,10,A +1336,R300 ,R311 ,24842.32,1.45,95996,6,10,A +1337,R300 ,R318 ,12336.16,0.72,85393,4,10,A +1338,R400 ,R447 ,17778.52,1.04,80001,1,10,A +1339,R300 ,R306 ,21062.07,1.23,93983,6,10,A +1340,R200 ,R217 ,16611.88,0.97,84922,9,10,A +1341,R400 ,R466 ,18120.18,1.06,81178,3,10,A +1342,R100 ,R141 ,15531.83,0.91,81296,5,10,A +1344,R400 ,R469 ,22846.31,1.33,82594,2,10,A +1345,R400 ,R450 ,13408.56,0.78,80360,2,10,A +1346,R300 ,R369 ,14549.77,0.85,94357,4,10,A +1347,R300 ,R353 ,12193.9,0.71,94361,6,10,A +1348,R400 ,R468 ,15041.11,0.88,80072,1,10,A +1349,R300 ,R337 ,13841.34,0.81,79596,4,10,A +1350,R100 ,R138 ,30718.17,1.79,95521,5,10,A +1351,R100 ,R111 ,24733.96,1.44,100835,5,10,A +1352,R100 ,R101 ,19718.35,1.15,94257,5,10,A +1353,R100 ,R118 ,15134.69,0.88,84225,7,10,A +1354,R300 ,R327 ,17198.42,1,94215,6,10,A +1355,R200 ,R262 ,15925.03,0.93,80115,10,10,A +1356,R100 ,R101 ,21051.73,1.23,103397,5,10,A +1357,R300 ,R373 ,13590.44,0.79,79802,8,10,A +1358,R400 ,R459 ,10900.3,0.64,77528,2,10,A +1359,R300 ,R311 ,14125.21,0.82,95097,6,10,A +1360,R300 ,R377 ,18079.46,1.05,85527,9,10,A +1361,R300 ,R375 ,13041.25,0.76,82293,9,10,A +1362,R200 ,R236 ,31221.44,1.82,85097,9,10,A +1363,R200 ,R220 ,16885.45,0.98,85327,9,10,A +1364,R100 ,R140 ,15796.29,0.92,95279,5,10,A +1365,R400 ,R422 ,16904.97,0.99,79025,2,10,A +1366,R100 ,R138 ,19422.64,1.13,95278,5,10,A +1367,R300 ,R369 ,21935.64,1.28,95279,4,10,A +1368,R300 ,R321 ,15959.63,0.93,95107,6,10,A +1369,R300 ,R353 ,20938.86,1.22,97765,6,10,A +1370,R300 ,R351 ,21402.18,1.25,94830,4,10,A +1371,R300 ,R355 ,18402.2,1.07,78748,4,10,A +1372,R100 ,R175 ,18704.56,1.09,98021,8,10,A +1373,R400 ,R460 ,12884.8,0.75,80056,1,10,A +1374,R400 ,R428 ,15221.4,0.89,80795,1,10,A +1375,R100 ,R126 ,18618.96,1.09,83566,5,10,A +1376,R300 ,R359 ,17153.75,1,94993,4,10,A +1377,R300 ,R303 ,14410.68,0.84,95711,6,10,A +1378,R400 ,R450 ,19715.08,1.15,85219,2,10,A +1380,R300 ,R346 ,47074.8,2.75,79595,4,10,A +1381,R100 ,R171 ,12612.89,0.74,80521,5,10,A +1382,R300 ,R314 ,34903.38,2.04,94993,4,10,A +1383,R200 ,R244 ,15240.51,0.89,85622,9,10,A +1384,R200 ,R250 ,34506.5,2.01,85650,9,10,A +1385,R100 ,R112 ,15226.12,0.89,80772,5,10,A +1386,R300 ,R374 ,14175.13,0.83,80878,9,10,A +1388,R100 ,R123 ,13260.85,0.77,80152,7,10,A +1389,R400 ,R422 ,13918.33,0.81,81639,2,10,A +1390,R300 ,R346 ,15809.78,0.92,79934,4,10,A +1391,R300 ,R350 ,15032.69,0.88,79377,4,10,A +1392,R100 ,R123 ,31337.39,1.83,95000,7,10,A +1393,R100 ,R172 ,13678.93,0.8,79856,5,10,A +1394,R300 ,R335 ,14994.85,0.87,95605,4,10,A +1395,R300 ,R326 ,13013.86,0.76,95743,6,10,A +1396,R300 ,R303 ,17825.5,1.04,95078,6,10,A +1397,R300 ,R301 ,15724.42,0.92,94846,6,10,A +1398,R300 ,R301 ,24879.51,1.45,94864,6,10,A +1399,R300 ,R353 ,14691.16,0.86,79472,6,10,A +1400,R300 ,R336 ,13578.61,0.79,95628,4,10,A +1401,R400 ,R469 ,17203.32,1,84844,2,10,A +1402,R100 ,R115 ,13736.85,0.8,79895,5,10,A +1403,R100 ,R115 ,13620.81,0.79,84794,5,10,A +1404,R400 ,R428 ,13940.57,0.81,79683,1,10,A +1405,R200 ,R260 ,13101.65,0.76,79864,10,10,A +1406,R200 ,R260 ,15898.42,0.93,78002,10,10,A +1407,R200 ,R210 ,20547.2,1.2,76106,9,10,A +1408,R200 ,R236 ,27562.74,1.61,77741,9,10,A +1409,R200 ,R207 ,27878.23,1.63,84687,9,10,A +1410,R200 ,R201 ,32452.36,1.89,88936,9,10,A +1411,R200 ,R263 ,16017.4,0.93,79155,9,10,A +1413,R100 ,R175 ,15207.33,0.89,85438,8,10,A +1414,R400 ,R430 ,13957.06,0.81,77501,3,10,A +1415,R400 ,R448 ,18922.65,1.1,82904,3,10,A +1416,R400 ,R441 ,14708.29,0.86,80098,3,10,A +1417,R200 ,R213 ,15727.61,0.92,81041,9,10,A +1418,R200 ,R244 ,16708.99,0.97,78174,9,10,A +1419,R200 ,R260 ,18432.1,1.08,81868,10,10,A +1420,R300 ,R370 ,11546.59,0.67,62802,3,10,A +1421,R200 ,R260 ,17185.44,1,79427,9,10,A +1422,R200 ,R237 ,20517.5,1.2,78465,9,10,A +1423,R200 ,R206 ,13769.65,0.8,77332,9,10,A +1424,R200 ,R217 ,19904.37,1.16,80465,9,10,A +1425,R200 ,R263 ,20894.31,1.22,78662,9,10,A +1426,R200 ,R237 ,18938.16,1.1,79716,9,10,A +1427,R200 ,R233 ,20566.2,1.2,88324,9,10,A +1428,R200 ,R211 ,19987.72,1.17,78509,9,10,A +1429,R300 ,R379 ,12286.66,0.72,80337,9,10,A +1430,R300 ,R326 ,12633.06,0.74,94626,6,10,A +1431,R400 ,R441 ,26944.05,1.57,90013,3,10,A +1432,R300 ,R377 ,13568.45,0.79,79816,9,10,A +1435,R300 ,R364 ,15195.82,0.89,81361,6,10,A +1436,R100 ,R144 ,22996.24,1.34,78564,7,10,A +1437,R100 ,R141 ,20784.42,1.21,92520,5,10,A +1438,R200 ,R247 ,11378.66,0.66,59126,9,10,A +1439,R300 ,R376 ,16151.14,0.94,79653,9,10,A +1441,R400 ,R429 ,11597.57,0.68,60789,1,10,A +1442,R400 ,R429 ,31402.58,1.83,90993,1,10,A +1443,R400 ,R462 ,19582.85,1.14,73075,3,10,A +1444,R200 ,R258 ,41456.43,2.42,79606,10,10,A +1445,R100 ,R133 ,21046.09,1.23,94300,5,10,A +1446,R100 ,R133 ,12958.75,0.76,77910,5,10,A +1447,R100 ,R172 ,13750.87,0.8,79846,5,10,A +1448,R100 ,R124 ,20413.45,1.19,94866,5,10,A +1449,R300 ,R331 ,19998.13,1.17,82829,6,10,A +1450,R300 ,R331 ,15567.47,0.91,79546,6,10,A +1451,R300 ,R331 ,13618.26,0.79,79783,6,10,A +1452,R300 ,R337 ,13203.65,0.77,80883,4,10,A +1453,R300 ,R346 ,16843.49,0.98,80290,4,10,A +1454,R300 ,R320 ,15849.37,0.92,80019,4,10,A +1455,R100 ,R123 ,19161.4,1.12,94722,7,10,A +1456,R100 ,R124 ,17681.74,1.03,94306,5,10,A +1457,R300 ,R304 ,11364.39,0.66,94628,6,10,A +1458,R300 ,R304 ,17584.32,1.03,94658,6,10,A +1459,R300 ,R303 ,18111.48,1.06,94434,6,10,A +1460,R100 ,R145 ,11495.93,0.67,79898,5,10,A +1461,R300 ,R346 ,14904.54,0.87,94871,4,10,A +1462,R300 ,R373 ,14882.73,0.87,83934,9,10,A +1463,R100 ,R171 ,15408.63,0.9,80236,5,10,A +1464,R400 ,R461 ,11662.73,0.68,80767,2,10,A +1465,R100 ,R137 ,16060.82,0.94,80600,5,10,A +1466,R100 ,R134 ,15546.77,0.91,80184,5,10,A +1467,R400 ,R419 ,15155.51,0.88,80047,2,10,A +1468,R300 ,R348 ,18186.62,1.06,82108,4,10,A +1469,R300 ,R353 ,61312.57,3.58,80610,6,10,A +1470,R100 ,R167 ,16364.57,0.95,79786,6,10,A +1471,R100 ,R175 ,15954.86,0.93,95756,8,10,A +1472,R200 ,R211 ,13471.26,0.79,77852,9,10,A +1473,R300 ,R353 ,19010.14,1.11,95348,6,10,A +1474,R400 ,R461 ,15159.92,0.88,79873,3,10,A +1475,R400 ,R467 ,13767,0.8,80833,2,10,A +1476,R400 ,R467 ,14527.01,0.85,79280,2,10,A +1477,R400 ,R438 ,15080.73,0.88,79713,2,10,A +1478,R100 ,R169 ,13882.8,0.81,79796,3,10,A +1479,R100 ,R168 ,12891.86,0.75,79728,4,10,A +1480,R300 ,R367 ,13070.76,0.76,80034,4,10,A +1481,R100 ,R140 ,19755.47,1.15,84260,5,10,A +1482,R100 ,R136 ,14472.82,0.84,80809,5,10,A +1483,R100 ,R128 ,14561.18,0.85,79837,5,10,A +1484,R100 ,R163 ,18753.39,1.09,94822,5,10,A +1485,R200 ,R231 ,18068.32,1.05,80187,9,10,A +1486,R300 ,R335 ,18023.41,1.05,84388,4,10,A +1487,R100 ,R144 ,20972.67,1.22,84348,7,10,A +1489,R300 ,R302 ,12780.93,0.75,94372,6,10,A +1490,R300 ,R305 ,13568.24,0.79,79570,6,10,A +1491,R400 ,R446 ,16934.42,0.99,79942,2,10,A +1492,R400 ,R467 ,14625.56,0.85,79907,2,10,A +1493,R300 ,R350 ,16529.17,0.96,81017,4,10,A +1495,R400 ,R428 ,14986.81,0.87,79343,1,10,A +1496,R400 ,R468 ,13230.69,0.77,78045,1,10,A +1497,R300 ,R315 ,11006.6,0.64,79928,4,10,A +1499,R300 ,R340 ,14006.27,0.82,80166,4,10,A +1500,R100 ,R179 ,20110.3,1.17,94844,8,10,A +1501,R100 ,R177 ,20363.69,1.19,94939,8,10,A +1502,R200 ,R208 ,21349.7,1.25,85173,9,10,A +1504,R300 ,R372 ,19012.51,1.11,94142,4,10,A +1505,R300 ,R362 ,20788.14,1.21,94433,4,10,A +1506,R300 ,R321 ,28557.96,1.67,79612,6,10,A +1507,R200 ,R211 ,10823.89,0.63,82990,9,10,A +1508,R400 ,R467 ,17396.41,1.01,79605,2,10,A +1509,R100 ,R117 ,18392.96,1.07,79962,7,10,A +1510,R400 ,R461 ,11503.86,0.67,85690,3,10,A +1511,R300 ,R333 ,18266.55,1.07,80047,4,10,A +1512,R300 ,R367 ,18369.17,1.07,94925,4,10,A +1513,R100 ,R168 ,12302.6,0.72,79288,4,10,A +1514,R300 ,R321 ,11305.94,0.66,94433,6,10,A +1515,R100 ,R117 ,17495.95,1.02,82714,7,10,A +1516,R400 ,R468 ,10656.16,0.62,79472,1,10,A +1517,R300 ,R321 ,13371.28,0.78,94433,6,10,A +1518,R300 ,R365 ,17623.12,1.03,91271,4,10,A +1519,R300 ,R324 ,16814.27,0.98,94293,4,10,A +1520,R400 ,R447 ,13936.58,0.81,79488,1,10,A +1521,R400 ,R438 ,13481.91,0.79,79709,2,10,A +1522,R100 ,R111 ,12006.22,0.7,79527,5,10,A +1523,R300 ,R327 ,14753.24,0.86,94693,6,10,A +1524,R300 ,R380 ,18225.45,1.06,84745,9,10,A +1525,R100 ,R179 ,17651.41,1.03,79686,8,10,A +1526,R200 ,R218 ,15836.53,0.92,79652,9,10,A +1527,R200 ,R246 ,13418.91,0.78,79960,9,10,A +1528,R400 ,R459 ,12496,0.73,79482,1,10,A +1529,R300 ,R350 ,13856.34,0.81,79914,4,10,A +1530,R100 ,R138 ,14005.68,0.82,78964,5,10,A +1531,R300 ,R306 ,12549.21,0.73,85562,6,10,A +1532,R400 ,R468 ,14153.75,0.83,79596,1,10,A +1533,R400 ,R441 ,13093.09,0.76,79856,3,10,A +1534,R100 ,R172 ,14811.02,0.86,81127,5,10,A +1535,R300 ,R303 ,11991.54,0.7,79278,6,10,A +1536,R300 ,R306 ,13411.79,0.78,94415,6,10,A +1537,R100 ,R107 ,13158.31,0.77,79801,7,10,A +1538,R100 ,R123 ,13557.97,0.79,79756,7,10,A +1539,R100 ,R117 ,17090.09,1,79948,5,10,A +1540,R100 ,R161 ,20973.79,1.22,78853,8,10,A +1541,R400 ,R411 ,12628.49,0.74,80594,3,10,A +1542,R300 ,R341 ,11343.29,0.66,78324,6,10,A +1543,R100 ,R144 ,11447.45,0.67,79848,7,10,A +1544,R400 ,R459 ,18982.28,1.11,86453,1,10,A +1545,R100 ,R172 ,13674.89,0.8,80832,5,10,A +1546,R300 ,R336 ,13927.83,0.81,81677,4,10,A +1547,R200 ,R240 ,16454.87,0.96,79638,9,10,A +1548,R200 ,R232 ,14052.03,0.82,80193,9,10,A +1750,R100 ,R178 ,16773.24,0.98,86701,8,10,A +1751,R100 ,R178 ,25765.46,1.5,96518,8,10,A +1752,R100 ,R178 ,23523.94,1.37,90711,8,10,A +1753,R100 ,R178 ,17863.16,1.04,86804,8,10,A +1754,R100 ,R178 ,30769.6,1.79,95329,8,10,A +1755,R100 ,R178 ,19087.56,1.11,93951,8,10,A +1756,R100 ,R144 ,22257.67,1.3,94759,7,10,A +1757,R100 ,R144 ,18282.25,1.07,99554,7,10,A +1759,R100 ,R144 ,14250.34,0.83,105819,7,10,A +1760,R300 ,R365 ,22732.47,1.33,95022,4,10,A +1761,R300 ,R334 ,15610.46,0.91,114596,4,10,A +1762,R100 ,R138 ,17159.27,1,115418,5,10,A +1763,R300 ,R326 ,13275.82,0.77,114551,6,10,A +1764,R300 ,R326 ,17831.69,1.04,95616,6,10,A +1765,R300 ,R342 ,15134.86,0.88,95689,6,10,A +1766,R300 ,R321 ,10585.66,0.62,97674,6,10,A +1767,R100 ,R105 ,19927.12,1.16,114575,7,10,A +1768,R100 ,R127 ,21937.37,1.28,94945,7,10,A +1769,R100 ,R176 ,19421.32,1.13,95171,8,10,A +1770,R300 ,R342 ,14799.48,0.86,96337,6,10,A +1771,R100 ,R127 ,15920.12,0.93,90966,7,10,A +1772,R300 ,R340 ,19001.11,1.11,93637,4,10,A +1773,R300 ,R340 ,15456.68,0.9,93900,4,10,A +1774,R100 ,R111 ,18948.96,1.11,91645,5,10,A +1775,R300 ,R326 ,12125.78,0.71,94203,6,10,A +1776,R100 ,R179 ,24149.73,1.41,104154,8,10,A +1777,R100 ,R107 ,20862.76,1.22,106299,7,10,A +1780,R300 ,R334 ,14634.57,0.85,105923,4,10,A +1782,R100 ,R129 ,17875.93,1.04,94771,6,10,A +1783,R100 ,R143 ,28589.57,1.67,96198,8,10,A +1784,R300 ,R352 ,17720.69,1.03,99779,6,10,A +1785,R300 ,R327 ,12582.66,0.73,106014,6,10,A +1786,R300 ,R311 ,17185.12,1,106365,6,10,A +1787,R300 ,R340 ,23508.66,1.37,95013,4,10,A +1788,R100 ,R140 ,15308.04,0.89,94299,5,10,A +1789,R100 ,R140 ,15136.51,0.88,94300,5,10,A +1790,R300 ,R365 ,12762.2,0.74,95242,4,10,A +1791,R100 ,R105 ,22070.27,1.29,94718,7,10,A +1792,R100 ,R127 ,15316.64,0.89,93817,7,10,A +1793,R300 ,R355 ,17968.3,1.05,79483,4,10,A +1794,R300 ,R372 ,12133.4,0.71,83246,4,10,A +1795,R300 ,R313 ,15159.33,0.88,94246,4,10,A +1796,R400 ,R438 ,14209.43,0.83,81114,2,10,A +1797,R300 ,R341 ,11456.25,0.67,94441,6,10,A +1798,R400 ,R459 ,19742.26,1.15,83870,2,10,A +1799,R100 ,R150 ,14874.78,0.87,81010,5,10,A +1800,R100 ,R143 ,20985.04,1.22,84973,7,10,A +1801,R100 ,R150 ,20024.08,1.17,94203,5,10,A +1802,R400 ,R439 ,12412.8,0.72,81304,1,10,A +1803,R400 ,R452 ,9338.3,0.54,60555,1,10,A +1804,R100 ,R170 ,17151.46,1,85860,5,10,A +1805,R200 ,R250 ,18451.28,1.08,84906,9,10,A +1806,R100 ,R175 ,41996.76,2.45,100176,8,10,A +1807,R300 ,R362 ,13394.1,0.78,79707,4,10,A +1808,R400 ,R451 ,20509.07,1.2,77582,2,10,A +1809,R400 ,R462 ,13882.08,0.81,84651,3,10,A +1811,R300 ,R302 ,11217.03,0.65,79484,6,10,A +1812,R300 ,R322 ,12568.03,0.73,79062,6,10,A +1813,R100 ,R176 ,14444.1,0.84,80168,8,10,A +1814,R100 ,R178 ,20852.4,1.22,79720,8,10,A +1815,R200 ,R201 ,14787.12,0.86,79263,9,10,A +1816,R200 ,R201 ,12240.58,0.71,79941,9,10,A +1818,R400 ,R424 ,10957.5,0.64,79808,2,10,A +1819,R200 ,R247 ,16986.94,0.99,84587,9,10,A +1820,R300 ,R314 ,20989.38,1.22,94933,4,10,A +1821,R100 ,R144 ,16587.3,0.97,80224,7,10,A +1822,R400 ,R446 ,19931.96,1.16,82510,2,10,A +1823,R400 ,R450 ,14976.72,0.87,79982,2,10,A +1824,R300 ,R371 ,12920.74,0.75,80565,4,10,A +1825,R300 ,R340 ,13347.57,0.78,79593,4,10,A +1826,R300 ,R372 ,15716.27,0.92,94925,4,10,A +1827,R400 ,R441 ,13591.57,0.79,84993,3,10,A +1828,R400 ,R454 ,12540.36,0.73,79270,3,10,A +1829,R300 ,R350 ,13630.58,0.8,80245,4,10,A +1830,R400 ,R438 ,12367.52,0.72,80374,2,10,A +1831,R100 ,R124 ,21141.71,1.23,95562,5,10,A +1832,R100 ,R124 ,23621.85,1.38,96302,5,10,A +1833,R100 ,R101 ,19920.1,1.16,95199,5,10,A +1834,R200 ,R206 ,18203.97,1.06,79823,9,10,A +1835,R400 ,R468 ,16198.49,0.94,79307,1,10,A +1836,R300 ,R306 ,13824.79,0.81,94702,6,10,A +1837,R300 ,R303 ,22022.48,1.28,94604,6,10,A +1838,R300 ,R379 ,15196.1,0.89,84238,9,10,A +1839,R400 ,R439 ,17488.48,1.02,77649,1,10,A +1840,R100 ,R123 ,14105.68,0.82,94868,7,10,A +1841,R100 ,R170 ,14982.58,0.87,80132,5,10,A +1842,R100 ,R144 ,13679.32,0.8,80824,7,10,A +1843,R200 ,R232 ,13696.45,0.8,80081,9,10,A +1845,R400 ,R461 ,14200.1,0.83,79798,3,10,A +1846,R200 ,R201 ,15056.43,0.88,79264,9,10,A +1847,R200 ,R260 ,15996.21,0.93,79961,10,10,A +1848,R100 ,R138 ,14031.96,0.82,79899,5,10,A +1849,R400 ,R423 ,27990.17,1.63,83772,2,10,A +1850,R300 ,R326 ,11244.58,0.66,79175,6,10,A +1851,R200 ,R245 ,10151.56,0.59,79793,9,10,A +1852,R300 ,R327 ,9960.07,0.58,68749,6,10,A +1853,R300 ,R315 ,14860.54,0.87,94787,4,10,A +1854,R400 ,R448 ,19617.32,1.14,84253,3,10,A +1855,R400 ,R447 ,13971.34,0.81,79714,1,10,A +1856,R400 ,R451 ,14806.54,0.86,77462,2,10,A +1857,R400 ,R466 ,12368.36,0.72,79735,3,10,A +1858,R400 ,R457 ,17193.94,1,84751,3,10,A +1859,R300 ,R314 ,15253.33,0.89,79869,4,10,A +1860,R300 ,R301 ,13214.67,0.77,72279,6,10,A +1861,R300 ,R302 ,9311.67,0.54,79778,6,10,A +1862,R200 ,R246 ,11821.07,0.69,79669,9,10,A +1863,R300 ,R376 ,13649.29,0.8,85204,9,10,A +1864,R400 ,R461 ,17747.76,1.04,85456,2,10,A +1865,R400 ,R446 ,11907.42,0.69,77515,2,10,A +1866,R400 ,R424 ,10758.13,0.63,79831,2,10,A +1867,R200 ,R205 ,31419.28,1.83,79816,9,10,A +1868,R200 ,R258 ,14414.18,0.84,79799,10,10,A +1869,R200 ,R248 ,45817.24,2.67,80760,9,10,A +1870,R300 ,R337 ,18913.16,1.1,79925,4,10,A +1871,R400 ,R411 ,12212.86,0.71,85340,3,10,A +1872,R300 ,R372 ,19657.74,1.15,94874,4,10,A +1873,R400 ,R466 ,15246.9,0.89,94627,3,10,A +1874,R400 ,R441 ,24903.13,1.45,94237,3,10,A +1875,R400 ,R431 ,16289.11,0.95,79478,3,10,A +1876,R300 ,R331 ,13350.36,0.78,80856,6,10,A +1877,R300 ,R303 ,11647.39,0.68,80199,6,10,A +1878,R100 ,R140 ,16216.42,0.95,80705,5,10,A +1879,R100 ,R145 ,15869.97,0.93,79855,5,10,A +1880,R100 ,R128 ,12781.86,0.75,67129,5,10,A +1881,R100 ,R121 ,15113.88,0.88,80071,5,10,A +1882,R100 ,R121 ,19062.39,1.11,79353,5,10,A +1883,R200 ,R258 ,14822.47,0.86,80070,10,10,A +1884,R200 ,R204 ,26238.15,1.53,78984,9,10,A +1885,R400 ,R455 ,19118.93,1.12,82904,2,10,A +1886,R400 ,R446 ,31838.76,1.86,86008,2,10,A +1887,R400 ,R459 ,12041.74,0.7,81088,2,10,A +1888,R100 ,R141 ,19317.01,1.13,82762,5,10,A +1889,R100 ,R116 ,19939.43,1.16,82383,5,10,A +1890,R400 ,R412 ,17656.4,1.03,80944,3,10,A +1891,R100 ,R167 ,12439.11,0.73,79208,6,10,A +1892,R300 ,R372 ,25971.98,1.51,82176,4,10,A +1893,R400 ,R412 ,20082.28,1.17,87646,3,10,A +1894,R300 ,R364 ,12266.28,0.72,79414,6,10,A +1895,R100 ,R110 ,16457.66,0.96,80015,5,10,A +1896,R100 ,R122 ,20302.75,1.18,96907,5,10,A +1897,R400 ,R412 ,15691.74,0.92,79834,3,10,A +1898,R400 ,R429 ,20319.46,1.19,88165,1,10,A +1901,R100 ,R105 ,21258.65,1.24,96988,7,10,A +1902,R100 ,R133 ,13075.84,0.76,80221,5,10,A +1903,R100 ,R115 ,19720.66,1.15,96988,5,10,A +1904,R300 ,R364 ,11880.47,0.69,79922,6,10,A +1905,R300 ,R379 ,13713.69,0.8,79842,9,10,A +1906,R200 ,R250 ,12129.36,0.71,79837,9,10,A +1907,R300 ,R332 ,11750.72,0.69,79740,4,10,A +1908,R300 ,R364 ,21818.37,1.27,96878,6,10,A +1910,R300 ,R350 ,13878.69,0.81,79101,4,10,A +1911,R100 ,R140 ,15783.9,0.92,79857,5,10,A +1912,R100 ,R112 ,18813.41,1.1,96663,5,10,A +1913,R100 ,R133 ,16319.96,0.95,79888,5,10,A +1914,R100 ,R118 ,11945.36,0.7,79962,7,10,A +1915,R400 ,R438 ,14269.23,0.83,80280,2,10,A +1916,R400 ,R460 ,11931.3,0.7,89345,1,10,A +1917,R400 ,R422 ,21152.09,1.23,85221,2,10,A +1918,R300 ,R365 ,20249.03,1.18,97938,4,10,A +1919,R100 ,R167 ,13211.57,0.77,79993,6,10,A +1920,R300 ,R331 ,19359.99,1.13,79428,4,10,A +1921,R300 ,R315 ,13109.37,0.76,97974,4,10,A +1922,R300 ,R342 ,10731.77,0.63,79641,6,10,A +1923,R300 ,R337 ,20608.75,1.2,79484,4,10,A +1924,R100 ,R141 ,18602.58,1.09,81866,5,10,A +1925,R100 ,R150 ,14823.37,0.86,79914,5,10,A +1926,R200 ,R211 ,16035.38,0.94,87307,9,10,A +1927,R200 ,R233 ,18089.89,1.06,87498,9,10,A +1928,R100 ,R175 ,18484,1.08,96664,8,10,A +1929,R400 ,R419 ,13479.94,0.79,84656,2,10,A +1930,R400 ,R470 ,19137.52,1.12,84530,1,10,A +1931,R400 ,R417 ,13417.49,0.78,79855,3,10,A +1932,R300 ,R372 ,17498.3,1.02,96635,4,10,A +1933,R100 ,R133 ,15007.42,0.88,79753,5,10,A +1934,R300 ,R360 ,15013.3,0.88,96416,4,10,A +1935,R300 ,R310 ,17898.13,1.04,96890,4,10,A +1936,R200 ,R222 ,21679.63,1.26,78857,9,10,A +1937,R300 ,R337 ,13952.96,0.81,79869,4,10,A +1938,R400 ,R415 ,10906.67,0.64,79407,3,10,A +1939,R100 ,R105 ,12791.38,0.75,79737,7,10,A +1940,R100 ,R173 ,12149.04,0.71,80004,5,10,A +1941,R300 ,R310 ,17674.22,1.03,79343,4,10,A +1942,R400 ,R452 ,11022.64,0.64,79859,1,10,A +1943,R100 ,R129 ,13999,0.82,79891,7,10,A +1944,R100 ,R129 ,22245.22,1.3,96663,7,10,A +1945,R100 ,R129 ,15443.5,0.9,96892,7,10,A +1946,R100 ,R172 ,13466.53,0.79,79837,5,10,A +1947,R200 ,R259 ,13569.47,0.79,80057,10,10,A +1948,R400 ,R424 ,14464.63,0.84,84468,2,10,A +1949,R400 ,R454 ,15832.45,0.92,80170,3,10,A +1950,R100 ,R122 ,15450.59,0.9,103127,5,10,A +1951,R100 ,R147 ,14901.96,0.87,79811,5,10,A +1952,R100 ,R118 ,17005.88,0.99,82313,7,10,A +1953,R300 ,R341 ,10380.56,0.61,79516,6,10,A +1954,R400 ,R459 ,12301.22,0.72,72326,2,10,A +1955,R400 ,R460 ,10912.26,0.64,79797,1,10,A +1956,R400 ,R460 ,13294.29,0.78,81816,1,10,A +1957,R200 ,R259 ,14672.85,0.86,80130,10,10,A +1958,R200 ,R248 ,16870.99,0.98,79947,9,10,A +1959,R300 ,R374 ,17293.8,1.01,94245,9,10,A +1960,R300 ,R379 ,22912.25,1.34,94275,9,10,A +1961,R200 ,R232 ,18783.31,1.1,79962,9,10,A +1962,R300 ,R306 ,8816.03,0.51,79780,6,10,A +1963,R300 ,R369 ,12178.13,0.71,79891,4,10,A +1964,R300 ,R336 ,18641.11,1.09,81507,4,10,A +1965,R400 ,R468 ,16174.39,0.94,79939,1,10,A +1966,R300 ,R313 ,15802.73,0.92,103129,4,10,A +1967,R300 ,R314 ,14475.79,0.84,79983,4,10,A +1968,R400 ,R417 ,14314.36,0.83,80046,3,10,A +1969,R100 ,R173 ,15678.41,0.91,80005,5,10,A +1970,R400 ,R411 ,12912.32,0.75,80040,3,10,A +1971,R100 ,R137 ,11438.97,0.67,80160,5,10,A +1972,R100 ,R169 ,12317.64,0.72,79571,5,10,A +1973,R300 ,R348 ,12927.16,0.75,79813,4,10,A +1974,R300 ,R315 ,12648.88,0.74,79979,4,10,A +1975,R300 ,R311 ,16395.99,0.96,79191,6,10,A +1976,R100 ,R177 ,17236.3,1.01,103121,8,10,A +1977,R100 ,R123 ,12964.93,0.76,80167,7,10,A +1978,R100 ,R173 ,16261.24,0.95,79886,5,10,A +1979,R300 ,R327 ,10674.13,0.62,79771,6,10,A +1980,R200 ,R239 ,21183.4,1.24,85248,9,10,A +1981,R300 ,R342 ,8779.61,0.51,79952,6,10,A +1982,R300 ,R341 ,11215.11,0.65,79818,6,10,A +1983,R300 ,R369 ,17104.06,1,79918,4,10,A +1984,R200 ,R237 ,11877.35,0.69,79974,9,10,A +2006,R400 ,R419 ,20153.3,1.18,84532,2,10,A +2007,R400 ,R412 ,10893.06,0.64,80028,3,10,A +2008,R300 ,R342 ,7908.83,0.46,79922,6,10,A +2009,R400 ,R447 ,13109.58,0.76,79743,1,10,A +2010,R100 ,R107 ,11830.41,0.69,82264,7,10,A +2011,R300 ,R362 ,12315.06,0.72,79954,4,10,A +2014,R100 ,R136 ,18046.87,1.05,84554,5,10,A +2015,R100 ,R136 ,11773.91,0.69,79827,5,10,A +2016,R100 ,R174 ,14287.05,0.83,79738,5,10,A +2017,R400 ,R466 ,11668.63,0.68,79714,3,10,A +2018,R200 ,R213 ,18777.98,1.1,84121,9,10,A +2019,R200 ,R217 ,14515.48,0.85,84567,9,10,A +2020,R200 ,R209 ,15833.8,0.92,80485,9,10,A +2021,R100 ,R179 ,16619.28,0.97,96887,8,10,A +2022,R300 ,R367 ,22285.2,1.3,96822,4,10,A +2023,R100 ,R177 ,18884.33,1.1,96607,8,10,A +2024,R400 ,R451 ,14800.4,0.86,80050,2,10,A +2025,R100 ,R124 ,15418.57,0.9,84509,5,10,A +2026,R200 ,R207 ,16593.37,0.97,84476,9,10,A +2027,R300 ,R337 ,13010.79,0.76,80042,4,10,A +2028,R100 ,R145 ,13746.54,0.8,79786,5,10,A +2029,R100 ,R179 ,15920.81,0.93,80039,8,10,A +2030,R200 ,R219 ,21262.98,1.24,82356,9,10,A +2031,R300 ,R378 ,14390.38,0.84,79793,6,10,A +2032,R300 ,R365 ,13460.31,0.79,79763,4,10,A +2033,R100 ,R148 ,14546.27,0.85,79707,5,10,A +2034,R300 ,R354 ,21253.59,1.24,96696,4,10,A +2035,R100 ,R145 ,15469.15,0.9,96887,5,10,A +2036,R300 ,R335 ,22126.21,1.29,96990,4,10,A +2037,R300 ,R358 ,11518.8,0.67,79906,4,10,A +2038,R400 ,R467 ,14318.05,0.84,79753,2,10,A +2040,R300 ,R354 ,17063.27,1,79439,4,10,A +2041,R100 ,R105 ,12355.08,0.72,83548,7,10,A +2042,R300 ,R342 ,16031.24,0.94,96935,6,10,A +2043,R100 ,R144 ,12732.6,0.74,79972,7,10,A +2044,R100 ,R171 ,11796.18,0.69,80039,5,10,A +2045,R400 ,R460 ,13842.5,0.81,78700,1,10,A +2046,R100 ,R102 ,15801.65,0.92,97524,5,10,A +2048,R100 ,R133 ,15655.3,0.91,80039,5,10,A +2051,R200 ,R202 ,16135.06,0.94,82512,9,10,A +2052,R100 ,R175 ,17685.1,1.03,96997,8,10,A +2053,R300 ,R333 ,13709.08,0.8,80059,4,10,A +2055,R300 ,R331 ,13899.73,0.81,79476,4,10,A +2056,R300 ,R335 ,16237.46,0.95,96931,4,10,A +2057,R300 ,R351 ,21884.11,1.28,81995,4,10,A +2058,R300 ,R324 ,14026.92,0.82,79530,4,10,A +2059,R300 ,R320 ,15837.23,0.92,96931,4,10,A +2061,R300 ,R301 ,11518.39,0.67,79617,6,10,A +2062,R300 ,R324 ,15010.69,0.88,79725,4,10,A +2063,R300 ,R320 ,22742.94,1.33,97807,4,10,A +2064,R300 ,R354 ,12526.87,0.73,79854,4,10,A +2065,R300 ,R310 ,14059.85,0.82,96712,4,10,A +2066,R300 ,R364 ,13446.13,0.78,79811,6,10,A +2067,R300 ,R310 ,14790.46,0.86,95402,4,10,A +2068,R100 ,R168 ,12474.44,0.73,79974,5,10,A +2069,R300 ,R372 ,19794.26,1.15,96935,4,10,A +2070,R100 ,R169 ,18237.02,1.06,82352,5,10,A +2071,R400 ,R457 ,13884.61,0.81,79833,3,10,A +2072,R400 ,R453 ,15049.46,0.88,80252,3,10,A +2073,R400 ,R470 ,12944.49,0.75,79637,1,10,A +2074,R300 ,R355 ,10997.2,0.64,79476,4,10,A +2075,R400 ,R462 ,16673.55,0.97,85512,3,10,A +2076,R400 ,R451 ,11758,0.69,79795,2,10,A +2077,R400 ,R430 ,12219.16,0.71,79634,3,10,A +2078,R100 ,R116 ,18619.49,1.09,84892,5,10,A +2079,R100 ,R141 ,20343.1,1.19,85510,5,10,A +2080,R300 ,R362 ,12605.45,0.74,101681,4,10,A +2081,R100 ,R121 ,17503.82,1.02,96676,5,10,A +2082,R200 ,R244 ,14148.16,0.83,79830,9,10,A +2083,R300 ,R375 ,14948.88,0.87,84188,9,10,A +2084,R300 ,R369 ,11805.45,0.69,82776,4,10,A +2085,R300 ,R348 ,13948.75,0.81,79817,4,10,A +2086,R100 ,R169 ,13041.89,0.76,79795,5,10,A +2087,R100 ,R145 ,22546.95,1.32,81928,5,10,A +2088,R200 ,R233 ,18525.42,1.08,84224,9,10,A +2089,R300 ,R353 ,14135.17,0.82,96672,6,10,A +2090,R300 ,R355 ,13911.55,0.81,79848,4,10,A +2091,R300 ,R334 ,15409.45,0.9,97477,4,10,A +2092,R300 ,R318 ,19802.69,1.15,103290,4,10,A +2093,R300 ,R364 ,24946.24,1.45,81803,6,10,A +2095,R100 ,R129 ,14597.45,0.85,76959,6,10,A +2096,R200 ,R218 ,13918.17,0.81,79279,9,10,A +2098,R100 ,R167 ,11273.99,0.66,80161,7,10,A +2099,R400 ,R431 ,13274.74,0.77,80095,3,10,A +2100,R400 ,R430 ,11881.95,0.69,80161,3,10,A +2101,R100 ,R126 ,25991.63,1.52,92390,5,10,A +2102,R400 ,R424 ,11910.75,0.69,79940,2,10,A +2103,R100 ,R118 ,13708.19,0.8,82487,7,10,A +2104,R400 ,R422 ,14904.77,0.87,80190,2,10,A +2105,R100 ,R135 ,13635.68,0.8,82171,5,10,A +2106,R100 ,R146 ,21886.76,1.28,102399,5,10,A +2108,R300 ,R358 ,13209.06,0.77,80355,4,10,A +2109,R300 ,R349 ,13425.73,0.78,81724,4,10,A +2110,R200 ,R260 ,15506.9,0.9,80371,10,10,A +2111,R300 ,R371 ,12067.51,0.7,80126,4,10,A +2112,R300 ,R305 ,11248.22,0.66,80161,6,10,A +2113,R100 ,R134 ,16154.26,0.94,82041,5,10,A +2114,R400 ,R454 ,12706.22,0.74,79999,3,10,A +2115,R200 ,R208 ,12969.02,0.76,84158,9,10,A +2118,R300 ,R314 ,17591.29,1.03,101926,4,10,A +2119,R100 ,R171 ,13437.88,0.78,77429,5,10,A +2120,R400 ,R447 ,13448.13,0.78,80226,1,10,A +2121,R300 ,R334 ,15421.05,0.9,84352,4,10,A +2122,R100 ,R122 ,16351.93,0.95,79868,5,10,A +2123,R100 ,R178 ,18344.56,1.07,79905,8,10,A +2124,R400 ,R421 ,24831.76,1.45,86198,3,10,A +2125,R100 ,R107 ,16321.94,0.95,79771,7,10,A +2126,R300 ,R333 ,14207.28,0.83,80194,4,10,A +2127,R400 ,R439 ,14587.04,0.85,79317,1,10,A +2128,R200 ,R202 ,18280.45,1.07,81453,9,10,A +2129,R300 ,R336 ,13316.84,0.78,77316,4,10,A +2130,R400 ,R447 ,16133.54,0.94,80237,1,10,A +2131,R400 ,R421 ,16672.83,0.97,80356,3,10,A +2132,R300 ,R355 ,13031.92,0.76,96653,4,10,A +2133,R400 ,R415 ,13025,0.76,82355,3,10,A +2134,R300 ,R358 ,18768.16,1.09,80517,4,10,A +2135,R100 ,R126 ,11790.14,0.69,82548,5,10,A +2136,R200 ,R259 ,12598.14,0.73,81907,10,10,A +2137,R300 ,R336 ,29282.46,1.71,85373,4,10,A +2138,R400 ,R466 ,15357.32,0.9,96757,3,10,A +2139,R300 ,R311 ,11320.49,0.66,83197,6,10,A +2140,R300 ,R376 ,18635.02,1.09,101204,9,10,A +2141,R400 ,R419 ,17782.43,1.04,82185,2,10,A +2142,R300 ,R326 ,14030.84,0.82,95921,6,10,A +2143,R200 ,R209 ,18214.6,1.06,88818,9,10,A +2144,R300 ,R364 ,12214.72,0.71,82363,6,10,A +2145,R300 ,R321 ,15779.07,0.92,95958,6,10,A +2146,R300 ,R318 ,19087.89,1.11,100315,4,10,A +2147,R200 ,R217 ,15700.89,0.92,82594,9,10,A +2149,R300 ,R375 ,13284.48,0.77,82217,9,10,A +2150,R100 ,R178 ,14546.06,0.85,82403,8,10,A +2151,R200 ,R202 ,18247.93,1.06,84705,9,10,A +2152,R300 ,R305 ,12708.48,0.74,82672,6,10,A +2153,R300 ,R340 ,11820.02,0.69,82680,4,10,A +2154,R300 ,R359 ,13939.34,0.81,81971,4,10,A +2155,R300 ,R315 ,11028.44,0.64,82218,4,10,A +2156,R400 ,R460 ,15043.97,0.88,80276,1,10,A +2157,R100 ,R170 ,11986.52,0.7,82655,5,10,A +2158,R400 ,R467 ,12458.49,0.73,82241,2,10,A +2159,R100 ,R174 ,9543.22,0.56,83075,5,10,A +2161,R100 ,R170 ,15143.77,0.88,82722,5,10,A +2163,R200 ,R261 ,17502.73,1.02,82555,9,10,A +2164,R300 ,R380 ,13939.14,0.81,82340,9,10,A +2165,R200 ,R261 ,18428.88,1.07,84447,9,10,A +2166,R400 ,R447 ,12957.95,0.76,82709,1,10,A +2167,R400 ,R428 ,13447.78,0.78,82544,1,10,A +2168,R300 ,R371 ,11369.85,0.66,82675,4,10,A +2169,R300 ,R362 ,20325.35,1.19,95961,4,10,A +2170,R400 ,R422 ,12172.56,0.71,82272,2,10,A +2171,R300 ,R335 ,15182.74,0.89,82583,4,10,A +2172,R400 ,R453 ,14327.61,0.84,83077,3,10,A +2173,R400 ,R470 ,12794.02,0.75,82181,1,10,A +2174,R300 ,R346 ,12391.72,0.72,82601,4,10,A +2175,R400 ,R466 ,10997.7,0.64,82857,3,10,A +2176,R300 ,R379 ,25009.47,1.46,83900,9,10,A +2177,R100 ,R115 ,13191.28,0.77,82115,5,10,A +2178,R100 ,R135 ,21199.34,1.24,80171,5,10,A +2179,R200 ,R217 ,11191.94,0.65,82666,9,10,A +2180,R100 ,R114 ,19791.33,1.15,98251,5,10,A +2181,R400 ,R422 ,12618.57,0.74,84927,2,10,A +2182,R400 ,R447 ,12903.72,0.75,82275,1,10,A +2183,R100 ,R175 ,14774.68,0.86,95872,8,10,A +2184,R400 ,R454 ,14525.17,0.85,82530,3,10,A +2185,R200 ,R211 ,14338.59,0.84,84052,9,10,A +2186,R400 ,R431 ,13942.39,0.81,82838,3,10,A +2187,R300 ,R327 ,10701.3,0.62,81841,6,10,A +2188,R300 ,R349 ,21189.37,1.24,82204,4,10,A +2189,R100 ,R101 ,24105.11,1.41,98135,5,10,A +2190,R300 ,R352 ,12424.24,0.72,81751,6,10,A +2191,R400 ,R416 ,9003.96,0.53,81839,2,10,A +2192,R200 ,R264 ,13160.13,0.77,82140,10,10,A +2193,R100 ,R131 ,21700.84,1.27,104591,5,10,A +2194,R100 ,R143 ,21255.94,1.24,83071,8,10,A +2195,R200 ,R232 ,81115.94,4.73,81631,9,10,A +2196,R300 ,R367 ,11416.52,0.67,83971,4,10,A +2197,R100 ,R175 ,20485.02,1.19,95794,8,10,A +2199,R100 ,R110 ,15465.15,0.9,82252,5,10,A +2200,R100 ,R126 ,17905.31,1.04,98368,5,10,A +2201,R400 ,R430 ,15054.4,0.88,82198,3,10,A +2202,R400 ,R431 ,19492.92,1.14,84493,3,10,A +2203,R300 ,R370 ,12279.02,0.72,82433,3,10,A +2204,R100 ,R167 ,13945.06,0.81,82000,6,10,A +2205,R300 ,R311 ,11948.89,0.7,82517,6,10,A +2206,R100 ,R161 ,17124.9,1,82683,10,10,A +2207,R100 ,R135 ,13115.65,0.76,82368,5,10,A +2208,R300 ,R348 ,15921.09,0.93,82277,4,10,A +2210,R300 ,R310 ,20953.26,1.22,98033,4,10,A +2211,R400 ,R416 ,11981.49,0.7,82314,2,10,A +2212,R400 ,R423 ,24660.11,1.44,91947,2,10,A +2213,R400 ,R439 ,12549.89,0.73,82258,1,10,A +2214,R200 ,R208 ,14361.37,0.84,83147,9,10,A +2216,R300 ,R374 ,19632.56,1.15,95591,6,10,A +2217,R100 ,R133 ,15569.67,0.91,82555,5,10,A +2218,R100 ,R176 ,19129.39,1.12,95853,8,10,A +2219,R100 ,R177 ,20773.99,1.21,95921,8,10,A +2220,R300 ,R301 ,19264.01,1.12,95883,6,10,A +2221,R100 ,R177 ,19171.12,1.12,98530,8,10,A +2222,R100 ,R123 ,15223.32,0.89,82572,7,10,A +2223,R100 ,R131 ,12062.63,0.7,82769,5,10,A +2224,R300 ,R305 ,12026.39,0.7,82008,6,10,A +2225,R100 ,R179 ,15380.23,0.9,82815,8,10,A +2226,R100 ,R174 ,13300.03,0.78,79568,5,10,A +2227,R300 ,R375 ,18671.34,1.09,97381,9,10,A +2228,R100 ,R174 ,12586.78,0.73,79749,5,10,A +2229,R100 ,R102 ,28290.13,1.65,104399,5,10,A +2230,R100 ,R137 ,20244.76,1.18,82346,5,10,A +2231,R400 ,R454 ,12315.13,0.72,82023,3,10,A +2232,R200 ,R201 ,16960.15,0.99,84026,9,10,A +2233,R300 ,R315 ,14477.09,0.84,97840,4,10,A +2234,R300 ,R302 ,10622.44,0.62,102469,6,10,A +2235,R300 ,R354 ,19945.87,1.16,102327,4,10,A +2236,R300 ,R377 ,17565.23,1.02,98398,9,10,A +2237,R300 ,R305 ,14789.51,0.86,81809,6,10,A +2238,R200 ,R237 ,17540.29,1.02,81739,9,10,A +2239,R300 ,R327 ,16317.28,0.95,102368,6,10,A +2240,R300 ,R369 ,12964.15,0.76,82422,4,10,A +2241,R400 ,R431 ,14083.83,0.82,82689,3,10,A +2243,R300 ,R306 ,13982.8,0.82,98028,6,10,A +2244,R300 ,R355 ,15384.29,0.9,84647,4,10,A +2245,R200 ,R206 ,18086.36,1.05,82114,9,10,A +2246,R400 ,R461 ,13631.19,0.8,82987,3,10,A +2247,R400 ,R451 ,14377,0.84,81651,2,10,A +2248,R300 ,R360 ,12583.95,0.73,82718,4,10,A +2249,R400 ,R460 ,13104.62,0.76,82302,1,10,A +2250,R400 ,R457 ,12185.7,0.71,82698,3,10,A +2251,R100 ,R150 ,15613.2,0.91,82608,5,10,A +2252,R200 ,R245 ,12439.23,0.73,82391,9,10,A +2253,R400 ,R467 ,13349.91,0.78,82792,2,10,A +2254,R100 ,R134 ,13982.43,0.82,79882,5,10,A +2255,R100 ,R118 ,12695.01,0.74,82319,7,10,A +2256,R400 ,R450 ,11696.3,0.68,81964,2,10,A +2258,R400 ,R429 ,13082.13,0.76,85561,1,10,A +2259,R400 ,R412 ,23898.41,1.39,87461,3,10,A +2260,R200 ,R248 ,16211.26,0.95,98284,9,10,A +2261,R100 ,R179 ,21320.48,1.24,96619,8,10,A +2262,R400 ,R430 ,11808.71,0.69,82719,3,10,A +2264,R300 ,R324 ,27120.06,1.58,102684,4,10,A +2265,R300 ,R318 ,11890.78,0.69,82459,4,10,A +2266,R100 ,R174 ,18072.21,1.05,82387,5,10,A +2267,R400 ,R470 ,13125.4,0.77,82677,1,10,A +2268,R200 ,R246 ,12944.3,0.75,82302,9,10,A +2269,R300 ,R360 ,12743.29,0.74,82054,4,10,A +2270,R200 ,R220 ,17684.44,1.03,82589,9,10,A +2271,R400 ,R415 ,20206.73,1.18,84460,3,10,A +2272,R400 ,R441 ,15535.61,0.91,82290,3,10,A +2273,R300 ,R353 ,12140.39,0.71,82402,6,10,A +2274,R300 ,R340 ,12462.88,0.73,82754,4,10,A +2275,R200 ,R207 ,15040.35,0.88,82932,9,10,A +2276,R300 ,R340 ,13076.17,0.76,82715,4,10,A +2277,R300 ,R337 ,15381.21,0.9,79507,4,10,A +2278,R300 ,R306 ,8577.29,0.5,82776,6,10,A +2279,R300 ,R359 ,11524.71,0.67,82048,4,10,A +2280,R200 ,R239 ,18666.58,1.09,82375,9,10,A +2281,R200 ,R233 ,16828.93,0.98,82439,9,10,A +2283,R300 ,R302 ,10424.27,0.61,81779,6,10,A +2284,R100 ,R167 ,9327.15,0.54,82310,6,10,A +2287,R400 ,R452 ,14367.85,0.84,82476,1,10,A +2288,R300 ,R322 ,11427.84,0.67,98196,6,10,A +2289,R300 ,R314 ,13654.12,0.8,102718,4,10,A +2290,R200 ,R265 ,17523.14,1.02,82140,10,10,A +2292,R400 ,R428 ,13748.51,0.8,82304,1,10,A +2294,R400 ,R457 ,13577.8,0.79,82848,3,10,A +2295,R400 ,R467 ,11937.38,0.7,82713,2,10,A +2296,R300 ,R370 ,11253.68,0.66,82845,3,10,A +2297,R400 ,R457 ,13328.51,0.78,82301,3,10,A +2300,R100 ,R163 ,23676.61,1.38,102560,5,10,A +2301,R300 ,R315 ,12067.75,0.7,79580,4,10,A +2302,R400 ,R431 ,12003.96,0.7,82325,3,10,A +2303,R100 ,R107 ,21916.35,1.28,102791,7,10,A +2304,R200 ,R202 ,16984.39,0.99,92431,9,10,A +2305,R400 ,R460 ,13259.1,0.77,83617,1,10,A +2306,R200 ,R245 ,12004.62,0.7,81802,9,10,A +2307,R200 ,R236 ,21543.6,1.26,87697,9,10,A +2308,R300 ,R351 ,11655,0.68,82714,3,10,A +2309,R200 ,R232 ,14751.69,0.86,102578,9,10,A +2310,R400 ,R415 ,16000.5,0.93,81887,3,10,A +2312,R400 ,R453 ,23583.75,1.38,92086,3,10,A +2313,R100 ,R163 ,31423.53,1.83,104449,5,10,A +2314,R200 ,R265 ,15517.41,0.91,82921,10,10,A +2315,R400 ,R447 ,21727.61,1.27,82276,1,10,A +2316,R300 ,R320 ,15477.38,0.9,97942,4,10,A +2317,R300 ,R320 ,19986.85,1.17,103536,4,10,A +2319,R200 ,R207 ,19689.77,1.15,82769,9,10,A +2320,R300 ,R303 ,15413.78,0.9,103649,6,10,A +2321,R100 ,R111 ,16703.16,0.97,103492,5,10,A +2322,R100 ,R170 ,18035.07,1.05,82761,5,10,A +2323,R400 ,R466 ,13828.03,0.81,104043,3,10,A +2324,R400 ,R467 ,16118.75,0.94,82227,2,10,A +2325,R400 ,R452 ,11186.67,0.65,82428,1,10,A +2326,R100 ,R107 ,18733.23,1.09,103451,7,10,A +2327,R100 ,R136 ,13390.27,0.78,82875,5,10,A +2328,R200 ,R207 ,16998.92,0.99,83584,9,10,A +2329,R200 ,R219 ,20467.54,1.19,84992,9,10,A +2330,R100 ,R117 ,13410.92,0.78,82072,5,10,A +2331,R300 ,R350 ,17189.98,1,82050,4,10,A +2332,R300 ,R351 ,12842.81,0.75,82366,4,10,A +2333,R300 ,R335 ,15113.19,0.88,79522,4,10,A +2334,R300 ,R306 ,9482,0.55,82479,6,10,A +2335,R300 ,R302 ,14171.57,0.83,101330,6,10,A +2337,R400 ,R417 ,11256.92,0.66,82257,3,10,A +2338,R300 ,R326 ,19559.39,1.14,101316,6,10,A +2339,R200 ,R262 ,30081,1.75,88269,10,10,A +2340,R100 ,R163 ,18175.89,1.06,103620,5,10,A +2341,R300 ,R375 ,13774.94,0.8,82599,9,10,A +2342,R300 ,R341 ,14026.97,0.82,102964,6,10,A +2343,R100 ,R179 ,13508.68,0.79,82251,8,10,A +2345,R100 ,R118 ,14386.95,0.84,82330,7,10,A +2346,R100 ,R171 ,14719.41,0.86,82289,5,10,A +2347,R200 ,R218 ,11198.63,0.65,82277,9,10,A +2348,R100 ,R150 ,13182.36,0.77,82360,5,10,A +2349,R200 ,R250 ,17487.19,1.02,103132,9,10,A +2350,R200 ,R219 ,17382.19,1.01,97725,9,10,A +2351,R100 ,R174 ,13315.86,0.78,79494,5,10,A +2354,R300 ,R375 ,15840.96,0.92,103776,9,10,A +2355,R300 ,R340 ,10969.41,0.64,82363,4,10,A +2356,R300 ,R304 ,13665.86,0.8,82201,6,10,A +2357,R100 ,R129 ,21272.94,1.24,82116,6,10,A +2358,R100 ,R173 ,12503.48,0.73,82246,5,10,A +2359,R200 ,R213 ,13391.61,0.78,82322,9,10,A +2360,R300 ,R333 ,18988.72,1.11,103204,4,10,A +2361,R400 ,R460 ,17916.09,1.04,92397,1,10,A +2362,R300 ,R369 ,13196.91,0.77,103637,4,10,A +2363,R300 ,R320 ,15580.11,0.91,103715,4,10,A +2364,R300 ,R313 ,16405.13,0.96,111024,4,10,A +2365,R300 ,R374 ,18410.06,1.07,103609,9,10,A +2366,R300 ,R314 ,13287.57,0.78,82209,4,10,A +2367,R300 ,R333 ,13534.64,0.79,82289,4,10,A +2368,R300 ,R380 ,11108.29,0.65,82270,9,10,A +2369,R300 ,R320 ,11140.3,0.65,82334,4,10,A +2370,R300 ,R365 ,20821.61,1.21,100164,4,10,A +2371,R200 ,R262 ,29785.77,1.74,88020,10,10,A +2372,R200 ,R262 ,36310.74,2.12,87847,10,10,A +2373,R100 ,R141 ,23314.18,1.36,88792,5,10,A +2374,R300 ,R306 ,11208.65,0.65,82292,6,10,A +2375,R300 ,R340 ,11086.8,0.65,82382,4,10,A +2376,R300 ,R365 ,13742.95,0.8,101479,4,10,A +2377,R300 ,R353 ,11964.7,0.7,82341,6,10,A +2378,R100 ,R115 ,18158.26,1.06,102945,5,10,A +2379,R400 ,R457 ,13095.58,0.76,82376,3,10,A +2380,R400 ,R469 ,15786.46,0.92,83341,2,10,A +2381,R400 ,R446 ,20390.42,1.19,82841,2,10,A +2382,R400 ,R416 ,10784.53,0.63,82487,2,10,A +2383,R100 ,R107 ,19469.75,1.14,103679,7,10,A +2384,R400 ,R422 ,17722.2,1.03,82585,2,10,A +2385,R400 ,R430 ,14009.86,0.82,81934,3,10,A +2386,R200 ,R218 ,12348.87,0.72,101445,9,10,A +2387,R300 ,R335 ,12542.55,0.73,82295,4,10,A +2388,R100 ,R150 ,15505.85,0.9,82046,5,10,A +2389,R300 ,R304 ,20579.06,1.2,103125,6,10,A +2390,R100 ,R163 ,23943.77,1.4,105381,5,10,A +2391,R100 ,R138 ,13943.97,0.81,82922,5,10,A +2392,R400 ,R450 ,15908.74,0.93,82089,2,10,A +2394,R400 ,R415 ,13287.04,0.77,82259,3,10,A +2395,R300 ,R355 ,14161.52,0.83,82534,4,10,A +2396,R300 ,R370 ,11884.73,0.69,82555,3,10,A +2397,R200 ,R244 ,15628.89,0.91,83338,9,10,A +2398,R200 ,R240 ,17118.96,1,88129,9,10,A +2399,R400 ,R461 ,14808.26,0.86,82540,3,10,A +2400,R300 ,R375 ,15323.16,0.89,102712,9,10,A +2403,R100 ,R176 ,25435.33,1.48,102986,8,10,A +2404,R300 ,R380 ,15046.5,0.88,79480,9,10,A +2406,R100 ,R102 ,23477.23,1.37,97351,5,10,A +2407,R300 ,R358 ,10225.27,0.6,82339,3,10,A +2408,R200 ,R208 ,14322.74,0.84,82396,9,10,A +2409,R300 ,R341 ,14274.87,0.83,82387,6,10,A +2410,R200 ,R257 ,61584.24,3.59,89082,9,10,A +2411,R200 ,R257 ,50207.23,2.93,86764,9,10,A +2412,R200 ,R257 ,48383.53,2.82,86717,9,10,A +2414,R100 ,R117 ,13409.28,0.78,82272,5,10,A +2415,R100 ,R148 ,13091.96,0.76,79563,5,10,A +2418,R400 ,R462 ,16515.58,0.96,82365,3,10,A +2419,R300 ,R311 ,16511.15,0.96,103695,6,10,A +2420,R200 ,R250 ,13985.84,0.82,82255,9,10,A +2421,R200 ,R244 ,15128.36,0.88,82941,9,10,A +2422,R100 ,R129 ,13669.47,0.8,82291,6,10,A +2423,R100 ,R123 ,19437.21,1.13,82301,7,10,A +2424,R200 ,R207 ,17662.86,1.03,82183,9,10,A +2425,R300 ,R342 ,8287.99,0.48,82124,6,10,A +2426,R300 ,R327 ,14875.68,0.87,103658,6,10,A +2427,R300 ,R310 ,20554.44,1.2,87393,4,10,A +2428,R300 ,R304 ,14166.64,0.83,82240,6,10,A +2429,R300 ,R322 ,11837.59,0.69,82343,6,10,A +2430,R400 ,R428 ,14300.46,0.83,85134,1,10,A +2431,R300 ,R334 ,13900.18,0.81,102189,4,10,A +2432,R400 ,R439 ,12124.78,0.71,82311,1,10,A +2433,R400 ,R439 ,10645.27,0.62,82236,1,10,A +2434,R400 ,R460 ,16641.42,0.97,81961,1,10,A +2436,R400 ,R417 ,12524.26,0.73,82324,3,10,A +2437,R400 ,R431 ,13571.89,0.79,82214,3,10,A +2438,R300 ,R322 ,10645.93,0.62,82382,6,10,A +2439,R400 ,R431 ,13430.15,0.78,82287,3,10,A +2440,R100 ,R133 ,14561.68,0.85,82278,5,10,A +2442,R300 ,R332 ,14268.32,0.83,82355,4,10,A +2445,R300 ,R359 ,12342.84,0.72,82306,4,10,A +2446,R400 ,R461 ,13878.56,0.81,82109,2,10,A +2448,R100 ,R129 ,11575.58,0.68,79562,7,10,A +2449,R100 ,R101 ,16443.63,0.96,85996,5,10,A +2450,R100 ,R169 ,13559.36,0.79,85639,5,10,A +2451,R400 ,R469 ,27828.52,1.62,87111,2,10,A +2454,R100 ,R107 ,18016.56,1.05,82387,7,10,A +2455,R200 ,R208 ,15834.51,0.92,82590,9,10,A +2456,R100 ,R124 ,21347.96,1.25,107394,5,10,A +2457,R100 ,R176 ,21077.64,1.23,82430,8,10,A +2458,R100 ,R177 ,13321.8,0.78,82233,8,10,A +2459,R400 ,R438 ,12407.12,0.72,82135,2,10,A +2460,R300 ,R301 ,11315.18,0.66,81996,6,10,A +2461,R400 ,R438 ,13038.79,0.76,82284,2,10,A +2462,R200 ,R240 ,16201.64,0.94,85529,9,10,A +2463,R200 ,R246 ,17660.66,1.03,86038,9,10,A +2465,R200 ,R231 ,36242.28,2.11,84466,9,10,A +2467,R300 ,R327 ,10961.99,0.64,81855,6,10,A +2468,R200 ,R248 ,21042.87,1.23,103779,9,10,A +2469,R200 ,R250 ,13626.16,0.79,84451,9,10,A +2470,R200 ,R207 ,17761.54,1.04,82584,9,10,A +2471,R200 ,R205 ,17599.8,1.03,103431,9,10,A +2472,R200 ,R220 ,16118.77,0.94,81977,9,10,A +2473,R100 ,R168 ,20818.76,1.21,85348,4,10,A +2474,R300 ,R332 ,16935.71,0.99,85941,4,10,A +2475,R400 ,R459 ,25298.57,1.48,87391,2,10,A +2476,R300 ,R334 ,27801.12,1.62,108688,4,10,A +2478,R400 ,R417 ,13047.21,0.76,85748,3,10,A +2480,R400 ,R470 ,13099.1,0.76,86377,1,10,A +2482,R200 ,R244 ,17448.65,1.02,86586,9,10,A +2483,R100 ,R172 ,14827.66,0.86,85442,4,10,A +2485,R300 ,R359 ,12974.87,0.76,82918,4,10,A +2486,R100 ,R172 ,13628.4,0.79,85822,5,10,A +2488,R100 ,R172 ,16422.61,0.96,86006,5,10,A +2489,R300 ,R314 ,12425.12,0.72,85675,4,10,A +2490,R100 ,R121 ,19147.89,1.12,106766,5,10,A +2491,R100 ,R146 ,16506.59,0.96,85927,5,10,A +2492,R200 ,R246 ,16992.46,0.99,83759,9,10,A +2493,R300 ,R346 ,11287.76,0.66,85804,4,10,A +2494,R300 ,R303 ,12446.28,0.73,85769,6,10,A +2495,R300 ,R341 ,15332.87,0.89,107348,6,10,A +2496,R400 ,R453 ,13449.38,0.78,82821,3,10,A +2497,R300 ,R373 ,12544.15,0.73,85952,9,10,A +2498,R100 ,R167 ,15550.81,0.91,85803,6,10,A +2499,R200 ,R205 ,15762.52,0.92,107308,9,10,A +2501,R300 ,R370 ,14101.51,0.82,85787,3,10,A +2503,R300 ,R340 ,17639.27,1.03,103610,4,10,A +2516,R300 ,R302 ,14469.06,0.84,107351,6,10,A +2519,R100 ,R102 ,12477.91,0.73,86712,5,10,A +2520,R300 ,R326 ,10930.01,0.64,107443,6,10,A +2523,R200 ,R258 ,21739.93,1.27,85996,10,10,A +2524,R200 ,R250 ,18610.44,1.09,85127,9,10,A +2525,R100 ,R123 ,13790.05,0.8,85698,7,10,A +2526,R100 ,R127 ,12976.58,0.76,82494,7,10,A +2527,R400 ,R421 ,13644.45,0.8,85782,3,10,A +2528,R400 ,R416 ,11215.47,0.65,82825,2,10,A +2529,R400 ,R431 ,14783.81,0.86,85807,3,10,A +2530,R400 ,R447 ,12060.87,0.7,81769,1,10,A +2531,R300 ,R331 ,14006.88,0.82,82502,6,10,A +2532,R400 ,R428 ,18832.66,1.1,85689,1,10,A +2533,R300 ,R304 ,13237.56,0.77,82865,6,10,A +2534,R300 ,R331 ,12611.23,0.74,85262,6,10,A +2536,R400 ,R461 ,16009.96,0.93,85859,3,10,A +2537,R400 ,R421 ,14867.53,0.87,85862,3,10,A +2538,R400 ,R457 ,13153.08,0.77,82572,3,10,A +2540,R100 ,R143 ,17659.94,1.03,86399,8,10,A +2542,R100 ,R129 ,20273.52,1.18,103504,6,10,A +2544,R100 ,R135 ,14674.67,0.86,85980,5,10,A +2545,R400 ,R453 ,17078.18,1,85916,3,10,A +2546,R100 ,R110 ,14497.89,0.85,85943,5,10,A +2547,R300 ,R360 ,11536.51,0.67,85792,4,10,A +2548,R400 ,R421 ,14093.4,0.82,75582,3,10,A +2550,R300 ,R302 ,10857.29,0.63,103940,6,10,A +2557,R100 ,R172 ,14412.47,0.84,86062,5,10,A +2559,R100 ,R122 ,15308.18,0.89,82554,5,10,A +2565,R300 ,R362 ,6955.21,0.41,86031,4,10,A +2567,R400 ,R431 ,14185.38,0.83,86057,3,10,A +2568,R300 ,R380 ,20486.14,1.19,86392,9,10,A +2569,R300 ,R373 ,13379.83,0.78,85898,9,10,A +2570,R400 ,R468 ,14667.2,0.86,86060,1,10,A +2572,R300 ,R302 ,20958.4,1.22,101369,6,10,A +2581,R200 ,R233 ,15178.5,0.89,85236,9,10,A +2584,R200 ,R233 ,20568.84,1.2,87380,9,10,A +2586,R100 ,R110 ,19215.74,1.12,86289,5,10,A +2596,R400 ,R421 ,14129.75,0.82,86612,3,10,A +2601,R200 ,R212 ,18532.38,1.08,85641,9,10,A +2604,R200 ,R208 ,14991.21,0.87,86813,9,10,A +2605,R200 ,R233 ,20680.12,1.21,87313,9,10,A +2607,R400 ,R428 ,10917.01,0.64,86008,1,10,A +2608,R400 ,R461 ,14096.88,0.82,78437,3,10,A +2609,R100 ,R178 ,15797.52,0.92,86118,8,10,A +2613,R100 ,R116 ,26971.71,1.57,83519,5,10,A +2615,R200 ,R237 ,19736.55,1.15,83372,9,10,A +2627,R200 ,R263 ,16619.9,0.97,85914,9,10,A +2631,R400 ,R415 ,15121.29,0.88,83229,3,10,A +2632,R200 ,R239 ,20718.86,1.21,86716,9,10,A +2641,R100 ,R178 ,22049.41,1.29,85386,8,10,A +2649,R400 ,R429 ,17883.65,1.04,86430,1,10,A +2660,R200 ,R257 ,50337.47,2.94,85572,9,10,A +2682,R200 ,R257 ,60787.18,3.55,86688,9,10,A +2693,R400 ,R429 ,22348.01,1.3,78343,1,10,A +2697,R200 ,R257 ,49197.17,2.87,86717,9,10,A +2715,R200 ,R250 ,18163.03,1.06,85629,9,10,A +2716,R100 ,R179 ,26029.89,1.52,103599,8,10,A +2717,R100 ,R179 ,16868.81,0.98,84045,8,10,A +2721,R300 ,R372 ,15351.64,0.9,86076,4,10,A +2725,R300 ,R322 ,6638.75,0.39,82643,6,10,A +2727,R300 ,R301 ,12836.29,0.75,86223,6,10,A +2728,R100 ,R168 ,14313.97,0.83,82660,4,10,A +2729,R400 ,R470 ,14787.04,0.86,85163,1,10,A +2730,R200 ,R261 ,19808.13,1.16,85619,9,10,A +2737,R100 ,R167 ,14397.33,0.84,85650,6,10,A +2739,R300 ,R301 ,10245.67,0.6,85796,6,10,A +2742,R300 ,R350 ,17037.35,0.99,86116,4,10,A +2744,R200 ,R213 ,16037.01,0.94,86827,9,10,A +2747,R300 ,R379 ,15020.35,0.88,87031,9,10,A +2753,R400 ,R419 ,20767.47,1.21,82700,2,10,A +2754,R300 ,R342 ,11179.4,0.65,79305,6,10,A +2757,R400 ,R454 ,23500.78,1.37,87536,3,10,A +2759,R200 ,R240 ,21761.92,1.27,86306,9,10,A +2760,R200 ,R240 ,19140.67,1.12,86140,9,10,A +2764,R400 ,R453 ,20121.51,1.17,85110,3,10,A +2765,R100 ,R146 ,21144.9,1.23,86977,5,10,A +2766,R200 ,R210 ,10885.51,0.63,50670,9,10,A +2767,R200 ,R211 ,29795.47,1.74,81382,9,10,A +2768,R200 ,R212 ,12421.06,0.72,54031,9,10,A +2770,R300 ,R370 ,17177.56,1,86658,3,10,A +2771,R200 ,R237 ,15844.28,0.92,85407,9,10,A +2772,R200 ,R212 ,16456.86,0.96,81415,9,10,A +2774,R200 ,R204 ,13732.93,0.8,45825,9,10,A +2775,R200 ,R204 ,12790.63,0.75,58067,9,10,A +2776,R200 ,R204 ,11541.7,0.67,57332,9,10,A +2779,R200 ,R260 ,18343.08,1.07,86115,10,10,A +2780,R100 ,R110 ,19400.44,1.13,86169,5,10,A +2781,R100 ,R116 ,19231.18,1.12,89292,5,10,A +2784,R300 ,R372 ,9476.47,0.55,86519,4,10,A +2785,R300 ,R371 ,17529.66,1.02,86089,4,10,A +2786,R200 ,R265 ,7278.99,0.42,47568,10,10,A +2787,R400 ,R454 ,18302.68,1.07,87777,3,10,A +2790,R400 ,R441 ,27809.78,1.62,86814,3,10,A +2791,R200 ,R258 ,6161.97,0.36,40431,10,10,A +2795,R200 ,R245 ,9597.21,0.56,53312,9,10,A +2796,R300 ,R340 ,16983.81,0.99,87476,4,10,A +2799,R100 ,R116 ,17566.06,1.02,57790,5,10,A +2802,R200 ,R231 ,14610.41,0.85,78679,9,10,A +2803,R300 ,R327 ,10634.74,0.62,86126,6,10,A +2804,R200 ,R212 ,23877.14,1.39,86680,9,10,A +2805,R400 ,R438 ,13600.31,0.79,86209,2,10,A +2810,R200 ,R209 ,22919.47,1.34,87264,9,10,A +2811,R400 ,R459 ,16398.04,0.96,88436,2,10,A +2813,R300 ,R378 ,18224.95,1.06,87120,6,10,A +2815,R300 ,R351 ,11193.33,0.65,86144,4,10,A +2816,R300 ,R369 ,12425.87,0.72,83199,4,10,A +2818,R100 ,R136 ,16262.92,0.95,86314,5,10,A +2820,R100 ,R175 ,16508.87,0.96,85821,8,10,A +2822,R400 ,R429 ,19541.01,1.14,77450,1,10,A +2824,R100 ,R147 ,15836.67,0.92,85871,5,10,A +2829,R200 ,R211 ,16595.32,0.97,83206,9,10,A +2830,R200 ,R233 ,16857.37,0.98,86011,9,10,A +2831,R200 ,R206 ,13699.62,0.8,82986,9,10,A +2840,R400 ,R455 ,20786.26,1.21,84895,2,10,A +2843,R300 ,R349 ,17118.33,1,85989,4,10,A +2844,R400 ,R455 ,15425.05,0.9,83289,2,10,A +2845,R400 ,R411 ,17259.75,1.01,83326,3,10,A +2847,R400 ,R424 ,19538.61,1.14,86329,2,10,A +2848,R300 ,R349 ,13042.3,0.76,87087,4,10,A +2850,R400 ,R423 ,14194.74,0.83,49455,2,10,A +2851,R100 ,R173 ,14938.5,0.87,85416,5,10,A +2853,R400 ,R450 ,13751.56,0.8,86202,2,10,A +2855,R200 ,R231 ,23567.67,1.37,87616,9,10,A +2857,R100 ,R161 ,18571.01,1.08,85375,10,10,A +2860,R100 ,R112 ,14876.32,0.87,79532,5,10,A +2865,R300 ,R304 ,11109.83,0.65,82010,6,10,A +2867,R400 ,R453 ,12625.36,0.74,80000,3,10,A +2868,R300 ,R311 ,8076.43,0.47,81752,6,10,A +2870,R200 ,R257 ,31340,1.83,0,9,10,A +2871,R200 ,R261 ,11190.52,0.65,50000,9,10,A +3200,R100 ,R126 ,2018.34,0.12,12067,5,10,A +3201,R200 ,R210 ,1221.53,0.07,8137,9,10,A +3202,R200 ,R211 ,787.98,0.05,4762,9,10,A +3203,R200 ,R212 ,1577.67,0.09,9712,9,10,A +3204,R100 ,R163 ,1204.56,0.07,7819,5,10,A +3205,R200 ,R201 ,1622.35,0.09,9555,9,10,A +3206,R400 ,R462 ,2106.23,0.12,11683,3,10,A +3207,R100 ,R116 ,1450.92,0.08,12189,5,10,A +3208,R100 ,R116 ,1691.28,0.1,129000,5,10,A +3210,R400 ,R412 ,2075.48,0.12,11362,3,10,A +3211,R400 ,R412 ,1689.44,0.1,7450,3,10,A +3212,R400 ,R462 ,1521.78,0.09,10594,3,10,A +3214,R100 ,R116 ,1771.57,0.1,12560,5,10,A +3216,R200 ,R204 ,1279.47,0.07,11017,9,10,A +3217,R200 ,R204 ,2606.84,0.15,13776,9,10,A +3218,R200 ,R219 ,2980.91,0.17,18948,9,10,A +3219,R100 ,R145 ,1809.48,0.11,11937,5,10,A +3221,R100 ,R116 ,1781.38,0.1,15806,5,10,A +3222,R400 ,R429 ,1653.52,0.1,10403,1,10,A +3223,R400 ,R429 ,1383.63,0.08,9955,1,10,A +3224,R200 ,R233 ,2200.74,0.13,13280,9,10,A +3225,R200 ,R207 ,2690.44,0.16,21625,9,10,A +3226,R400 ,R429 ,1262.9,0.07,8196,1,10,A +3227,R400 ,R462 ,2603.03,0.15,18900,3,10,A +3229,R400 ,R423 ,2800.6,0.16,24167,2,10,A +3230,R400 ,R469 ,1471.29,0.09,10521,2,10,A +3233,R200 ,R202 ,1766.29,0.1,9700,9,10,A +3234,R400 ,R430 ,2123.94,0.12,13923,3,10,A +3235,R400 ,R451 ,4530.29,0.26,29059,2,10,A +3236,R400 ,R455 ,3341.1,0.19,29809,2,10,A +3237,R400 ,R469 ,1859.54,0.11,15806,2,10,A +3238,R300 ,R324 ,1680.59,0.1,11545,4,10,A +3239,R100 ,R101 ,1831.61,0.11,11100,5,10,A +3240,R200 ,R212 ,2975.19,0.17,31988,9,10,A +3241,R300 ,R372 ,1797.86,0.1,7500,4,10,A +3242,R400 ,R448 ,3059.54,0.18,18745,3,10,A +3243,R400 ,R423 ,2207.15,0.13,21600,2,10,A +3244,R100 ,R169 ,2485.25,0.14,16500,5,10,A +3247,R400 ,R421 ,5296.14,0.31,32664,3,10,A +3249,R400 ,R423 ,1605.65,0.09,14249,2,10,A +3250,R300 ,R322 ,903.51,0.05,11000,6,10,A +3251,R200 ,R236 ,2025.36,0.12,14200,9,10,A +3252,R100 ,R141 ,1802.91,0.11,20300,5,10,A +3253,R400 ,R452 ,3975.59,0.23,31000,1,10,A +3254,R100 ,R172 ,1945.21,0.11,9128,5,10,A +3255,R300 ,R372 ,1356.87,0.08,11300,4,10,A +3258,R200 ,R222 ,4202.41,0.25,25046,9,10,A +3259,R400 ,R455 ,4858.49,0.28,31369,2,10,A +3261,R300 ,R375 ,4091.49,0.24,31050,9,10,A +3262,R200 ,R236 ,3376.77,0.2,20225,9,10,A +3263,R400 ,R462 ,2252.46,0.13,20262,3,10,A +3264,R200 ,R210 ,2131.68,0.12,17000,9,10,A +3265,R200 ,R210 ,3463.55,0.2,29965,9,10,A +3267,R200 ,R211 ,1207.94,0.07,13000,9,10,A +3270,R100 ,R141 ,1616.55,0.09,12400,5,10,A +3273,R300 ,R348 ,2686.86,0.16,19200,4,10,A +3274,R200 ,R244 ,3067.18,0.18,25700,9,10,A +3276,R400 ,R423 ,1044.2,0.06,12400,2,10,A +3277,R400 ,R423 ,2645.38,0.15,22496,2,10,A +3279,R100 ,R175 ,1627.21,0.09,12100,8,10,A +3281,R200 ,R258 ,1604.14,0.09,17230,10,10,A +3283,R100 ,R141 ,1513.74,0.09,16700,5,10,A +3284,R400 ,R423 ,1161.45,0.07,11300,2,10,A +3285,R400 ,R462 ,2880.72,0.17,36700,3,10,A +3287,R400 ,R452 ,1718.72,0.1,19800,1,10,A +3290,R400 ,R446 ,4845.36,0.28,43415,2,10,A +3292,R300 ,R352 ,1573.85,0.09,32600,6,10,A +3293,R200 ,R236 ,3814.79,0.22,31536,9,10,A +3295,R400 ,R412 ,1857.09,0.11,0,3,10,A +3296,R400 ,R422 ,4049.03,0.24,33425,2,10,A +3304,R400 ,R429 ,1836.82,0.11,29738,1,10,A +3305,R400 ,R470 ,3247.8,0.19,14200,1,10,A +3306,R400 ,R447 ,3985.04,0.23,31800,1,10,A +3307,R100 ,R116 ,1214.94,0.07,6300,5,10,A +3310,R400 ,R421 ,3038.08,0.18,39623,3,10,A +3315,R200 ,R261 ,2407.47,0.14,16400,9,10,A +3316,R100 ,R178 ,2398.48,0.14,18196,8,10,A +3318,R400 ,R424 ,2678.01,0.16,35000,2,10,A diff --git a/install.sh b/install.sh new file mode 100644 index 0000000..c56e342 --- /dev/null +++ b/install.sh @@ -0,0 +1,63 @@ +#!/bin/bash +# ============================================================================= +# Installation file +# +# Version: 0.2.0 +# +# Author: Diptesh +# +# Date: May 03, 2020 +# +# ============================================================================= + +# ============================================================================= +# DO NOT CHANGE ANYTHING FROM HERE +# ============================================================================= + +error=0 +__version__="0.4.0" + +# ============================================================================= +# User defined functions +# ============================================================================= + +mod() +{ + exec=$1 + file=$2 + state="[ OK ]" + if ! $exec $file; then + state="[fail]" + error=$((error + 1)) + fi + printf "%-72s %s\n" "$2" "$state" +} + +# ============================================================================= +# Main +# ============================================================================= + +path="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)\ +/$(basename "${BASH_SOURCE[0]}")" + +proj_dir=$(sed -E 's/(.+\/)(.+)/\1/' <<< $path) + +printf "Installing v$__version__ ...\n\n" + +for i in $(find "$proj_dir" -maxdepth 20 -name "*.sh") +do + file_name=${i#$proj_dir} + mod "chmod +x" "$file_name" + if [[ "$file_name" == "programs.sh" ]]; then + bash bin/programs.sh + fi +done + +state="[Done]" +if [[ $error -gt 0 ]]; then + state="[fail]" +fi + +printf "%-72s %s\n" "Installation" "$state" + +exit $error diff --git a/log/cov.out b/log/cov.out new file mode 100644 index 0000000..839228d --- /dev/null +++ b/log/cov.out @@ -0,0 +1,7 @@ +Name Stmts Miss Cover Missing +----------------------------------------------------------------------------------------- +/media/ph33r/Data/Project/mllib/dev/mllib/__init__.py 7 0 100% +/media/ph33r/Data/Project/mllib/dev/mllib/lib/__init__.py 7 0 100% +/media/ph33r/Data/Project/mllib/dev/mllib/lib/cluster.py 99 0 100% +----------------------------------------------------------------------------------------- +TOTAL 113 0 100% diff --git a/log/pip.out b/log/pip.out new file mode 100644 index 0000000..6b4200b --- /dev/null +++ b/log/pip.out @@ -0,0 +1 @@ +INFO: Successfully saved requirements file in /media/ph33r/Data/Project/mllib/dev/requirements.txt diff --git a/log/pylint/lib-__init__-py.out b/log/pylint/lib-__init__-py.out new file mode 100644 index 0000000..d7495ee --- /dev/null +++ b/log/pylint/lib-__init__-py.out @@ -0,0 +1,4 @@ + +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) + diff --git a/log/pylint/lib-cfg-py.out b/log/pylint/lib-cfg-py.out new file mode 100644 index 0000000..d7495ee --- /dev/null +++ b/log/pylint/lib-cfg-py.out @@ -0,0 +1,4 @@ + +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) + diff --git a/log/pylint/lib-cluster-py.out b/log/pylint/lib-cluster-py.out new file mode 100644 index 0000000..d7495ee --- /dev/null +++ b/log/pylint/lib-cluster-py.out @@ -0,0 +1,4 @@ + +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) + diff --git a/log/pylint/lib-utils-py.out b/log/pylint/lib-utils-py.out new file mode 100644 index 0000000..d7495ee --- /dev/null +++ b/log/pylint/lib-utils-py.out @@ -0,0 +1,4 @@ + +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) + diff --git a/log/pylint/mllib-__init__-py.out b/log/pylint/mllib-__init__-py.out new file mode 100644 index 0000000..d7495ee --- /dev/null +++ b/log/pylint/mllib-__init__-py.out @@ -0,0 +1,4 @@ + +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) + diff --git a/log/pylint/mllib-__main__-py.out b/log/pylint/mllib-__main__-py.out new file mode 100644 index 0000000..d7495ee --- /dev/null +++ b/log/pylint/mllib-__main__-py.out @@ -0,0 +1,4 @@ + +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) + diff --git a/log/pylint/pylint.out b/log/pylint/pylint.out new file mode 100644 index 0000000..d7495ee --- /dev/null +++ b/log/pylint/pylint.out @@ -0,0 +1,4 @@ + +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) + diff --git a/log/pylint/tests-__init__-py.out b/log/pylint/tests-__init__-py.out new file mode 100644 index 0000000..d7495ee --- /dev/null +++ b/log/pylint/tests-__init__-py.out @@ -0,0 +1,4 @@ + +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) + diff --git a/log/pylint/tests-test_cluster-py.out b/log/pylint/tests-test_cluster-py.out new file mode 100644 index 0000000..d7495ee --- /dev/null +++ b/log/pylint/tests-test_cluster-py.out @@ -0,0 +1,4 @@ + +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) + diff --git a/mllib/__main__.py b/mllib/__main__.py index 52d796e..edffb5a 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -21,15 +21,12 @@ # ============================================================================= import argparse -import pandas as pd +import time -from sklearn.cluster import KMeans -from sklearn.preprocessing import scale +import pandas as pd -from lib import ( - cfg, - utils - ) # noqa: F841 +from lib import cfg, utils # noqa: F841 +from lib.cluster import Cluster # noqa: F841 # ============================================================================= # --- DO NOT CHANGE ANYTHING FROM HERE @@ -59,12 +56,19 @@ args = CLI.parse_args() -# fn_ip = args.filename[0] -fn_ip = "store.csv" +fn_ip = args.filename[0] # ============================================================================= # --- Main # ============================================================================= if __name__ == '__main__': - pass + start = time.time_ns() + # --- Clustering + df_ip = pd.read_csv(path + "input/" + fn_ip) + clus_sol = Cluster(df=df_ip, x_var=["x1"]) + clus_sol.opt_k() + print("Clustering\n", + "optimal k = " + str(clus_sol.optimal_k), + elapsed_time("Time", start), + sep="\n") diff --git a/mllib/lib/cluster.py b/mllib/lib/cluster.py index c1fc768..56ffdc6 100644 --- a/mllib/lib/cluster.py +++ b/mllib/lib/cluster.py @@ -1,4 +1,24 @@ -"""Clustering module.""" +""" +Clustering module. + +Objective: + - Determine optimal number of clusters using + `Gap statistic `_. + +Credits +------- +:: + + Authors: + - Diptesh + + Date: Sep 05, 2021 +""" + +# pylint: disable=invalid-name +# pylint: disable=R0902,R0903,R0913,R0914 + +from typing import List import pandas as pd import numpy as np @@ -6,127 +26,190 @@ from sklearn.cluster import KMeans from sklearn.preprocessing import scale -path = "/media/ph33r/Data/Project/mllib/dev/data/input/" - -fn_ip = "store.csv" - -x_var = ["x1", "x3"] -max_cluster = 10 -# method = "one_se" -method = "gap_max" -nrefs = 10 -seed = 1 - -df_ip = pd.read_csv(path + fn_ip) - -df = df_ip[x_var] - -max_cluster = min(max_cluster, len(df.drop_duplicates())) - - -def _nref(df): - """Docstring.""" - x_cat = df.select_dtypes(include=['object', 'bool']) - x_num = df.select_dtypes(include=['int', 'float64']) - if not x_cat.empty: - for i, c in enumerate(x_cat.columns): - cat_val_list = df[c].unique() - uniqu_val = len(cat_val_list) - temp_cnt = 0 - while temp_cnt != uniqu_val: - temp_d = np.random.choice(cat_val_list, - size=len(df), - p=[1.0/uniqu_val] * uniqu_val) - temp_cnt = len(set(temp_d)) - temp_d = pd.DataFrame(temp_d) - temp_d.columns = [c] - if i == 0: - x_cat_d = temp_d - else: - x_cat_d = x_cat_d.join(temp_d) - df_sample = x_cat_d - if not x_num.empty: - for i, c in enumerate(x_num.columns): - temp_d = np.random.uniform(low=min(df[c]), - high=max(df[c]), - size=len(df)) - temp_d = pd.DataFrame(temp_d) - temp_d.columns = [c] - if i == 0: - x_cont_d = temp_d - else: - x_cont_d = x_cont_d.join(temp_d) - if not x_cat.empty: - df_sample = df_sample.join(x_cont_d) - else: - df_sample = x_cont_d - df_sample = pd.get_dummies(data=df_sample, drop_first=True) - df_sample = pd.DataFrame(scale(df_sample)) - return df_sample +# ============================================================================= +# --- DO NOT CHANGE ANYTHING FROM HERE +# ============================================================================= + + +class Cluster(): + """ + Clustering module. + + Objective: + - Determine optimal number of clusters using + `Gap statistic `_. + Parameters + ---------- + df : pd.DataFrame -df_clus = pd.get_dummies(data=df, drop_first=True) -df_clus_ip = pd.DataFrame(scale(df_clus)) + Dataframe containing all clustering variables i.e. `x_var`. -gaps = np.zeros(max_cluster) -sks = np.zeros(max_cluster) + x_var : List[str] -df_result = pd.DataFrame({"cluster": [], "gap": [], "sk": []}) + List of clustering variables. -dict_nref = dict() + max_cluster : int, optional -for i in range(nrefs): - # Create new random reference set - dict_nref[i] = _nref(df) + Maximum number of clusters. The default is 20. -for gap_index, k in enumerate(range(1, max_cluster+1)): - # Holder for reference dispersion results - ref_disps = np.zeros(nrefs) - # For n references, generate random sample and perform kmeans getting - # resulting dispersion of each loop - for i in range(nrefs): + nrefs : int, optional + + Number of random references to be created. The default is 20. + + seed : int, optional + + Random seed. The default is 1. + + method : str, optional + + Stopping criterion (`one_se` or `gap_max`). The default is `one_se`. + + """ + + def __init__(self, + df: pd.DataFrame, + x_var: List[str], + max_cluster: int = 20, + nrefs: int = 20, + seed: int = 1, + method: str = "one_se"): + """Initialize variables for module ``Cluster``.""" + self.df = df + self.x_var = x_var + self.max_cluster = max_cluster + self.nrefs = nrefs + self.seed = seed + self.clus_op: pd.DataFrame = None + self.optimal_k: int = None + self.df_gap: pd.DataFrame = None + self.df = self.df[self.x_var] + self.max_cluster = min(self.max_cluster, + len(self.df.drop_duplicates())) + x_cat = self.df.select_dtypes(include=['object', 'bool']) + if not x_cat.empty: + self.method = "gap_max" + else: + self.method = method + + def _nref(self): + """Create random reference data.""" + df = self.df + x_cat = df.select_dtypes(include=['object', 'bool']) + x_num = df.select_dtypes(include=['int', 'float64']) + if not x_cat.empty: + for _, cat_col in enumerate(x_cat.columns): + cat_val_list = df[cat_col].unique() + uniqu_val = len(cat_val_list) + temp_cnt = 0 + while temp_cnt != uniqu_val: + temp_d = np.random.choice(cat_val_list, + size=len(df), + p=[1.0/uniqu_val] * uniqu_val) + temp_cnt = len(set(temp_d)) + temp_d = pd.DataFrame(temp_d) + temp_d.columns = [cat_col] + if _ == 0: + x_cat_d = temp_d + else: + x_cat_d = x_cat_d.join(temp_d) + df_sample = x_cat_d + if not x_num.empty: + for _, num_col in enumerate(x_num.columns): + temp_d = np.random.uniform(low=min(df[num_col]), + high=max(df[num_col]), + size=len(df)) + temp_d = pd.DataFrame(temp_d) + temp_d.columns = [num_col] + if _ == 0: + x_cont_d = temp_d + else: + x_cont_d = x_cont_d.join(temp_d) + if not x_cat.empty: + df_sample = df_sample.join(x_cont_d) + else: + df_sample = x_cont_d + df_sample = pd.get_dummies(data=df_sample, drop_first=True) + df_sample = pd.DataFrame(scale(df_sample)) + return df_sample + + def opt_k(self): + """Compute optimal number of clusters using gap statistic. + + Returns + ------- + pd.DataFrame + + pandas dataframe containing:: + + x_var + cluster + + """ + df = self.df + # One hot encoding of categorical variables + df_clus = pd.get_dummies(data=df, drop_first=True) + # Scale the data + df_clus_ip = pd.DataFrame(scale(df_clus)) + # Create arrays for gap and sk + gaps = np.zeros(self.max_cluster) + sks = np.zeros(self.max_cluster) + # Create results dataframe + df_result = pd.DataFrame({"cluster": [], "gap": [], "sk": []}) # Create new random reference set - random_ref = dict_nref[i] - # Fit to it - km = KMeans(k, random_state=seed) - km.fit(random_ref) - ref_disp = km.inertia_ - ref_disps[i] = ref_disp - # Fit cluster to original data and create dispersion - km = KMeans(k, random_state=seed) - km.fit(df_clus_ip) - orig_disp = km.inertia_ - # Calculate gap statistic - if orig_disp > 0.0: - # gap = np.log(np.mean(ref_disps)) - np.log(orig_disp) - gap = np.mean(np.log(ref_disps)) - np.log(orig_disp) - else: - gap = np.inf - # Standard error - if sum(ref_disps) == 0.0: - sk = 0.0 - else: - sdk = np.std(np.log(ref_disps)) - sk = sdk * np.sqrt(1.0 + 1.0 / nrefs) - # Assign this loop's gap statistic and sk to gaps and sks - gaps[gap_index] = gap - sks[gap_index] = sk - # One SE - if method == "one_se": - if k > 1 and gaps[gap_index-1] >= gap - sk: - opt_k = k-1 - km = KMeans(opt_k, random_state=seed) + dict_nref = dict() + for i in range(self.nrefs): + dict_nref[i] = self._nref() + # Compute gap statistic + for gap_index, k in enumerate(range(1, self.max_cluster + 1)): + # Holder for reference dispersion results + ref_disps = np.zeros(self.nrefs) + # For n references, generate random sample and perform kmeans + # getting resulting dispersion of each loop + for i in range(self.nrefs): + # Create new random reference set + random_ref = dict_nref[i] + # Fit to it + km = KMeans(k, random_state=self.seed) + km.fit(random_ref) + ref_disp = km.inertia_ + ref_disps[i] = ref_disp + # Fit cluster to original data and create dispersion + km = KMeans(k, random_state=self.seed) + km.fit(df_clus_ip) + orig_disp = km.inertia_ + # Calculate gap statistic + gap = np.inf + if orig_disp > 0.0: + gap = np.mean(np.log(ref_disps)) - np.log(orig_disp) + # Compute standard error + sk = 0.0 + if sum(ref_disps) != 0.0: + sdk = np.std(np.log(ref_disps)) + sk = sdk * np.sqrt(1.0 + 1.0 / self.nrefs) + # Assign this loop's gap statistic and sk to gaps and sks + gaps[gap_index] = gap + sks[gap_index] = sk + df_result = df_result.append({"cluster": k, + "gap": gap, + "sk": sk}, + ignore_index=True) + # Stopping criteria + if self.method == "one_se": + if k > 1 and gaps[gap_index-1] >= gap - sk: + opt_k = k-1 + km = KMeans(opt_k, random_state=self.seed) + km.fit(df_clus_ip) + clus_op = km.labels_ + break + opt_k = np.argmax(gaps) + 1 + km = KMeans(opt_k, random_state=self.seed) km.fit(df_clus_ip) clus_op = km.labels_ - df_result = df_result.append({"cluster": k, - "gap": gap, - "sk": sk}, - ignore_index=True) - if method == "gap_max": - opt_k = np.argmax(gaps) + 1 - km = KMeans(opt_k, random_state=seed) - km.fit(df_clus_ip) - clus_op = km.labels_ - -print("optimal k:", opt_k) -print(df_result) + self.df_gap = df_result + self.optimal_k = opt_k + self.clus_op = pd.concat([self.df, + pd.DataFrame(data=clus_op, + columns=["cluster"])], + axis=1) + return self.clus_op diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..33253fa --- /dev/null +++ b/requirements.txt @@ -0,0 +1,3 @@ +numpy==1.19.5 +pandas==1.1.3 +scikit_learn==0.24.2 diff --git a/tests/test_cluster.py b/tests/test_cluster.py index 155cb4d..180f2ed 100644 --- a/tests/test_cluster.py +++ b/tests/test_cluster.py @@ -23,7 +23,6 @@ from os.path import abspath import pandas as pd -import numpy as np # Set base path path = abspath(getsourcefile(lambda: 0)) @@ -61,9 +60,55 @@ def setUp(self): """Set up for module ``metric``.""" def test_categorical(self): - y = [1, 2, 3] - y_hat = [1, 5, 3] - self.assertEqual(1, 1) + """Cluster: Test for categorical variables.""" + df_ip = pd.read_csv(path + "store.csv") + clus_sol = Cluster(df=df_ip, x_var=["x1"], + max_cluster=6, + nrefs=5) + clus_sol.opt_k() + self.assertEqual(clus_sol.optimal_k, 4) + self.assertEqual(clus_sol.method, "gap_max") + + def test_categorical_multiple(self): + """Cluster: Test for multiple categorical variables.""" + df_ip = pd.read_csv(path + "store.csv") + clus_sol = Cluster(df=df_ip, x_var=["x1", "x8"], + max_cluster=6, + nrefs=5) + clus_sol.opt_k() + self.assertEqual(clus_sol.optimal_k, 4) + self.assertEqual(clus_sol.method, "gap_max") + + def test_categorical_continuos(self): + """Cluster: Test for categorical and continuos variables.""" + df_ip = pd.read_csv(path + "store.csv") + clus_sol = Cluster(df=df_ip, x_var=["x1", "x3"], + max_cluster=6, + nrefs=5) + clus_sol.opt_k() + self.assertEqual(clus_sol.optimal_k, 5) + self.assertEqual(clus_sol.method, "gap_max") + + def test_continuos_gap_max(self): + """Cluster: Test for continuos variables gap_max.""" + df_ip = pd.read_csv(path + "store.csv") + clus_sol = Cluster(df=df_ip, x_var=["x3", "x4"], + max_cluster=5, + nrefs=5, + method="gap_max") + clus_sol.opt_k() + self.assertEqual(clus_sol.optimal_k, 5) + self.assertEqual(clus_sol.method, "gap_max") + + def test_continuos_one_se(self): + """Cluster: Test for continuos variables one_se.""" + df_ip = pd.read_csv(path + "store.csv") + clus_sol = Cluster(df=df_ip, x_var=["x3"], + max_cluster=10, + nrefs=10) + clus_sol.opt_k() + self.assertLessEqual(clus_sol.optimal_k, 10) + self.assertEqual(clus_sol.method, "one_se") # ============================================================================= From ba986f3095ac91768690837e7baac258c253f6c5 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sun, 5 Sep 2021 16:04:02 +0530 Subject: [PATCH 008/116] v0.4.0 changelog: - added comments for some edge cases in module Cluster --- log/cov.out | 4 +- mllib/lib/cluster.py | 93 ++++++++++++++++++++++++++++---------------- 2 files changed, 62 insertions(+), 35 deletions(-) diff --git a/log/cov.out b/log/cov.out index 839228d..ed1f251 100644 --- a/log/cov.out +++ b/log/cov.out @@ -2,6 +2,6 @@ Name Stmts Miss Cover ----------------------------------------------------------------------------------------- /media/ph33r/Data/Project/mllib/dev/mllib/__init__.py 7 0 100% /media/ph33r/Data/Project/mllib/dev/mllib/lib/__init__.py 7 0 100% -/media/ph33r/Data/Project/mllib/dev/mllib/lib/cluster.py 99 0 100% +/media/ph33r/Data/Project/mllib/dev/mllib/lib/cluster.py 103 0 100% ----------------------------------------------------------------------------------------- -TOTAL 113 0 100% +TOTAL 117 0 100% diff --git a/mllib/lib/cluster.py b/mllib/lib/cluster.py index 56ffdc6..fa4f0b6 100644 --- a/mllib/lib/cluster.py +++ b/mllib/lib/cluster.py @@ -65,6 +65,27 @@ class Cluster(): Stopping criterion (`one_se` or `gap_max`). The default is `one_se`. + Manual + ------ + Points to be noted for `method`: + + - Default method is `one_se`. + + - In case the clustering variables `x_var` contains `any` categorical or + boolean values, the default method switches to `gap_max` + + Points to be noted for `max_cluster`: + + - Maximum number of clusters are defined as + + min(`max_cluster`, number of unique records) + + - In case of categorical variables, when `max_cluster` is lesser than the + number of unique records, the final solution is a single cluster. + Since the module uses Gap statistic, this phenomenon is expected. + Hence, the end user must research alternate ways to determine optimal + number of clusters. + """ def __init__(self, @@ -82,15 +103,17 @@ def __init__(self, self.seed = seed self.clus_op: pd.DataFrame = None self.optimal_k: int = None - self.df_gap: pd.DataFrame = None + self.df_summary: pd.DataFrame = None self.df = self.df[self.x_var] + self.method = method + self._pre_processing() + + def _pre_processing(self): self.max_cluster = min(self.max_cluster, len(self.df.drop_duplicates())) x_cat = self.df.select_dtypes(include=['object', 'bool']) if not x_cat.empty: self.method = "gap_max" - else: - self.method = method def _nref(self): """Create random reference data.""" @@ -133,19 +156,8 @@ def _nref(self): df_sample = pd.DataFrame(scale(df_sample)) return df_sample - def opt_k(self): - """Compute optimal number of clusters using gap statistic. - - Returns - ------- - pd.DataFrame - - pandas dataframe containing:: - - x_var - cluster - - """ + def _gap_statistic(self): + """Compute optimal number of clusters using gap statistic.""" df = self.df # One hot encoding of categorical variables df_clus = pd.get_dummies(data=df, drop_first=True) @@ -155,29 +167,29 @@ def opt_k(self): gaps = np.zeros(self.max_cluster) sks = np.zeros(self.max_cluster) # Create results dataframe - df_result = pd.DataFrame({"cluster": [], "gap": [], "sk": []}) + df_summary = pd.DataFrame({"cluster": [], "gap": [], "sk": []}) # Create new random reference set dict_nref = dict() - for i in range(self.nrefs): - dict_nref[i] = self._nref() + for nref_index in range(self.nrefs): + dict_nref[nref_index] = self._nref() # Compute gap statistic for gap_index, k in enumerate(range(1, self.max_cluster + 1)): # Holder for reference dispersion results ref_disps = np.zeros(self.nrefs) # For n references, generate random sample and perform kmeans # getting resulting dispersion of each loop - for i in range(self.nrefs): + for nref_index in range(self.nrefs): # Create new random reference set - random_ref = dict_nref[i] + random_ref = dict_nref[nref_index] # Fit to it - km = KMeans(k, random_state=self.seed) - km.fit(random_ref) - ref_disp = km.inertia_ - ref_disps[i] = ref_disp + kmeans_ref = KMeans(k, random_state=self.seed) + kmeans_ref.fit(random_ref) + ref_disp = kmeans_ref.inertia_ + ref_disps[nref_index] = ref_disp # Fit cluster to original data and create dispersion - km = KMeans(k, random_state=self.seed) - km.fit(df_clus_ip) - orig_disp = km.inertia_ + kmeans_orig = KMeans(k, random_state=self.seed) + kmeans_orig.fit(df_clus_ip) + orig_disp = kmeans_orig.inertia_ # Calculate gap statistic gap = np.inf if orig_disp > 0.0: @@ -190,10 +202,10 @@ def opt_k(self): # Assign this loop's gap statistic and sk to gaps and sks gaps[gap_index] = gap sks[gap_index] = sk - df_result = df_result.append({"cluster": k, - "gap": gap, - "sk": sk}, - ignore_index=True) + df_summary = df_summary.append({"cluster": k, + "gap": gap, + "sk": sk}, + ignore_index=True) # Stopping criteria if self.method == "one_se": if k > 1 and gaps[gap_index-1] >= gap - sk: @@ -206,10 +218,25 @@ def opt_k(self): km = KMeans(opt_k, random_state=self.seed) km.fit(df_clus_ip) clus_op = km.labels_ - self.df_gap = df_result + self.df_summary = df_summary self.optimal_k = opt_k self.clus_op = pd.concat([self.df, pd.DataFrame(data=clus_op, columns=["cluster"])], axis=1) + + def opt_k(self): + """Compute optimal number of clusters using gap statistic. + + Returns + ------- + pd.DataFrame + + pandas dataframe containing:: + + x_var + cluster + + """ + self._gap_statistic() return self.clus_op From 3b90dd35bcffa59773ab8cfc52368f0b16876860 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sun, 5 Sep 2021 17:25:01 +0530 Subject: [PATCH 009/116] v0.4.0 changelog: - added 1 intergration test for module Cluster --- mllib/lib/cluster.py | 2 +- tests/test_cluster.py | 10 ++++++++++ 2 files changed, 11 insertions(+), 1 deletion(-) diff --git a/mllib/lib/cluster.py b/mllib/lib/cluster.py index fa4f0b6..d4d8a48 100644 --- a/mllib/lib/cluster.py +++ b/mllib/lib/cluster.py @@ -81,7 +81,7 @@ class Cluster(): min(`max_cluster`, number of unique records) - In case of categorical variables, when `max_cluster` is lesser than the - number of unique records, the final solution is a single cluster. + number of unique records, the final solution may be a single cluster. Since the module uses Gap statistic, this phenomenon is expected. Hence, the end user must research alternate ways to determine optimal number of clusters. diff --git a/tests/test_cluster.py b/tests/test_cluster.py index 180f2ed..bd57d40 100644 --- a/tests/test_cluster.py +++ b/tests/test_cluster.py @@ -110,6 +110,16 @@ def test_continuos_one_se(self): self.assertLessEqual(clus_sol.optimal_k, 10) self.assertEqual(clus_sol.method, "one_se") + def test_gap_max_less_max_clus(self): + """Cluster: Test for gap_max where optimal k < max_cluster.""" + df_ip = pd.read_csv(path + "store.csv") + clus_sol = Cluster(df=df_ip, x_var=["x5"], + max_cluster=5, + nrefs=10, + method="gap_max") + clus_sol.opt_k() + self.assertLess(clus_sol.optimal_k, 5) + # ============================================================================= # --- Main From bb55cd57c3331e0953f918f55627f6ea227ca15a Mon Sep 17 00:00:00 2001 From: Diptesh Date: Mon, 6 Sep 2021 12:33:47 +0530 Subject: [PATCH 010/116] Create python.yml --- python.yml | 48 ++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 48 insertions(+) create mode 100644 python.yml diff --git a/python.yml b/python.yml new file mode 100644 index 0000000..99d197b --- /dev/null +++ b/python.yml @@ -0,0 +1,48 @@ +# This workflow will install Python dependencies, run tests and lint with a variety of Python versions +# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions + +name: Python + +on: + push: + branches: + - 'stable' + - 'testing' + - 'feature*' + - '!maintenance*' + pull_request: + branches: + - 'stable' + - 'testing' + - 'feature*' + - '!maintenance*' + +jobs: + build: + + runs-on: ubuntu-latest + strategy: + fail-fast: false + matrix: + python-version: [3.7] + + steps: + - uses: actions/checkout@v2 + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v2 + with: + python-version: ${{ matrix.python-version }} + - name: Install dependencies + run: | + python -m pip install --upgrade pip + python -m pip install flake8 pytest + if [ -f requirements.txt ]; then pip install -r requirements.txt; fi + - name: Lint with flake8 + run: | + # stop the build if there are Python syntax errors or undefined names + flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics + # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide + flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics + - name: Test with pytest + run: | + pytest From b127dcdca77e33ca7f30092cea5ce7c1966eb12b Mon Sep 17 00:00:00 2001 From: Diptesh Date: Mon, 6 Sep 2021 12:44:45 +0530 Subject: [PATCH 011/116] Create python.yml --- .github/workflows/python.yml | 48 ++++++++++++++++++++++++++++++++++++ 1 file changed, 48 insertions(+) create mode 100644 .github/workflows/python.yml diff --git a/.github/workflows/python.yml b/.github/workflows/python.yml new file mode 100644 index 0000000..99d197b --- /dev/null +++ b/.github/workflows/python.yml @@ -0,0 +1,48 @@ +# This workflow will install Python dependencies, run tests and lint with a variety of Python versions +# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions + +name: Python + +on: + push: + branches: + - 'stable' + - 'testing' + - 'feature*' + - '!maintenance*' + pull_request: + branches: + - 'stable' + - 'testing' + - 'feature*' + - '!maintenance*' + +jobs: + build: + + runs-on: ubuntu-latest + strategy: + fail-fast: false + matrix: + python-version: [3.7] + + steps: + - uses: actions/checkout@v2 + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v2 + with: + python-version: ${{ matrix.python-version }} + - name: Install dependencies + run: | + python -m pip install --upgrade pip + python -m pip install flake8 pytest + if [ -f requirements.txt ]; then pip install -r requirements.txt; fi + - name: Lint with flake8 + run: | + # stop the build if there are Python syntax errors or undefined names + flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics + # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide + flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics + - name: Test with pytest + run: | + pytest From 88d8afad5c8723ecf020a88d16554239ca529eef Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Mon, 6 Sep 2021 12:50:43 +0530 Subject: [PATCH 012/116] v0.4.0 changelog: - added python 3.7 build action including lint and tests --- README.md | 2 ++ bin/run_tests.sh | 4 ++-- data/input/test_cluster.csv | 5 ++++ log/cov.out | 14 +++++------ python.yml | 48 ------------------------------------- requirements.txt | 2 +- tests/test_cluster.py | 36 ++++++++++++++-------------- 7 files changed, 35 insertions(+), 76 deletions(-) create mode 100644 data/input/test_cluster.csv delete mode 100644 python.yml diff --git a/README.md b/README.md index 7069c13..bd1074c 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,7 @@ +[![Python](https://github.com/bdiptesh/mllib/actions/workflows/python.yml/badge.svg)](https://github.com/bdiptesh/mllib/actions/workflows/python.yml) [![pylint Score](https://mperlet.github.io/pybadge/badges/10.0.svg)](./log/pylint/) [![Coverage score](https://img.shields.io/badge/coverage-100%25-dagreen.svg)](./log/cov.out) +[![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause) *** ## Table of contents diff --git a/bin/run_tests.sh b/bin/run_tests.sh index 46dedcc..6ca921f 100644 --- a/bin/run_tests.sh +++ b/bin/run_tests.sh @@ -40,7 +40,7 @@ then then COV_COLOR="dagreen" fi - sed -i "2s/.*/\[\!\[Coverage score\]\(\https\:\/\/img\.shields\.io\/badge\/coverage\-$COV_SCORE\%25\-$COV_COLOR.svg\)\]\(\.\/log\/cov\.out\)/" "$proj_dir/README.md" + sed -i "3s/.*/\[\!\[Coverage score\]\(\https\:\/\/img\.shields\.io\/badge\/coverage\-$COV_SCORE\%25\-$COV_COLOR.svg\)\]\(\.\/log\/cov\.out\)/" "$proj_dir/README.md" printf "=%.0s" {1..70} printf "\n" fi @@ -70,7 +70,7 @@ then tot_score=$(echo "scale=1; $score/$cnt" | bc) printf "\nTotal score: $tot_score\n" # Add pylint badge to README.md - sed -i "1s/.*/\[\!\[pylint Score\]\(https\:\/\/mperlet\.github\.io\/pybadge\/badges\/$tot_score.svg\)\]\(\.\/log\/pylint\/\)/" "$proj_dir/README.md" + sed -i "2s/.*/\[\!\[pylint Score\]\(https\:\/\/mperlet\.github\.io\/pybadge\/badges\/$tot_score.svg\)\]\(\.\/log\/pylint\/\)/" "$proj_dir/README.md" printf "=%.0s" {1..70} printf "\n" fi diff --git a/data/input/test_cluster.csv b/data/input/test_cluster.csv new file mode 100644 index 0000000..936ce44 --- /dev/null +++ b/data/input/test_cluster.csv @@ -0,0 +1,5 @@ +y,x1,x2,x3,x4 +1,A,100,1,A +2,B,200,2,A +3,C,300,3,B +4,D,400,20000,B diff --git a/log/cov.out b/log/cov.out index ed1f251..a6e7cb8 100644 --- a/log/cov.out +++ b/log/cov.out @@ -1,7 +1,7 @@ -Name Stmts Miss Cover Missing ------------------------------------------------------------------------------------------ -/media/ph33r/Data/Project/mllib/dev/mllib/__init__.py 7 0 100% -/media/ph33r/Data/Project/mllib/dev/mllib/lib/__init__.py 7 0 100% -/media/ph33r/Data/Project/mllib/dev/mllib/lib/cluster.py 103 0 100% ------------------------------------------------------------------------------------------ -TOTAL 117 0 100% +Name Stmts Miss Cover Missing +----------------------------------------------------- +mllib/__init__.py 7 0 100% +mllib/lib/__init__.py 7 0 100% +mllib/lib/cluster.py 103 0 100% +----------------------------------------------------- +TOTAL 117 0 100% diff --git a/python.yml b/python.yml deleted file mode 100644 index 99d197b..0000000 --- a/python.yml +++ /dev/null @@ -1,48 +0,0 @@ -# This workflow will install Python dependencies, run tests and lint with a variety of Python versions -# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions - -name: Python - -on: - push: - branches: - - 'stable' - - 'testing' - - 'feature*' - - '!maintenance*' - pull_request: - branches: - - 'stable' - - 'testing' - - 'feature*' - - '!maintenance*' - -jobs: - build: - - runs-on: ubuntu-latest - strategy: - fail-fast: false - matrix: - python-version: [3.7] - - steps: - - uses: actions/checkout@v2 - - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v2 - with: - python-version: ${{ matrix.python-version }} - - name: Install dependencies - run: | - python -m pip install --upgrade pip - python -m pip install flake8 pytest - if [ -f requirements.txt ]; then pip install -r requirements.txt; fi - - name: Lint with flake8 - run: | - # stop the build if there are Python syntax errors or undefined names - flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics - # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide - flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics - - name: Test with pytest - run: | - pytest diff --git a/requirements.txt b/requirements.txt index 33253fa..362a3a8 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,3 +1,3 @@ -numpy==1.19.5 pandas==1.1.3 +numpy==1.19.5 scikit_learn==0.24.2 diff --git a/tests/test_cluster.py b/tests/test_cluster.py index bd57d40..efd74f4 100644 --- a/tests/test_cluster.py +++ b/tests/test_cluster.py @@ -61,7 +61,7 @@ def setUp(self): def test_categorical(self): """Cluster: Test for categorical variables.""" - df_ip = pd.read_csv(path + "store.csv") + df_ip = pd.read_csv(path + "test_cluster.csv") clus_sol = Cluster(df=df_ip, x_var=["x1"], max_cluster=6, nrefs=5) @@ -71,9 +71,9 @@ def test_categorical(self): def test_categorical_multiple(self): """Cluster: Test for multiple categorical variables.""" - df_ip = pd.read_csv(path + "store.csv") - clus_sol = Cluster(df=df_ip, x_var=["x1", "x8"], - max_cluster=6, + df_ip = pd.read_csv(path + "test_cluster.csv") + clus_sol = Cluster(df=df_ip, x_var=["x1", "x4"], + max_cluster=10, nrefs=5) clus_sol.opt_k() self.assertEqual(clus_sol.optimal_k, 4) @@ -81,44 +81,44 @@ def test_categorical_multiple(self): def test_categorical_continuos(self): """Cluster: Test for categorical and continuos variables.""" - df_ip = pd.read_csv(path + "store.csv") - clus_sol = Cluster(df=df_ip, x_var=["x1", "x3"], + df_ip = pd.read_csv(path + "test_cluster.csv") + clus_sol = Cluster(df=df_ip, x_var=["x1", "x2"], max_cluster=6, nrefs=5) clus_sol.opt_k() - self.assertEqual(clus_sol.optimal_k, 5) + self.assertEqual(clus_sol.optimal_k, 4) self.assertEqual(clus_sol.method, "gap_max") def test_continuos_gap_max(self): """Cluster: Test for continuos variables gap_max.""" - df_ip = pd.read_csv(path + "store.csv") - clus_sol = Cluster(df=df_ip, x_var=["x3", "x4"], + df_ip = pd.read_csv(path + "test_cluster.csv") + clus_sol = Cluster(df=df_ip, x_var=["x2"], max_cluster=5, nrefs=5, method="gap_max") clus_sol.opt_k() - self.assertEqual(clus_sol.optimal_k, 5) + self.assertEqual(clus_sol.optimal_k, 4) self.assertEqual(clus_sol.method, "gap_max") def test_continuos_one_se(self): """Cluster: Test for continuos variables one_se.""" - df_ip = pd.read_csv(path + "store.csv") - clus_sol = Cluster(df=df_ip, x_var=["x3"], - max_cluster=10, + df_ip = pd.read_csv(path + "test_cluster.csv") + clus_sol = Cluster(df=df_ip, x_var=["x2", "x3"], + max_cluster=3, nrefs=10) clus_sol.opt_k() - self.assertLessEqual(clus_sol.optimal_k, 10) + self.assertLessEqual(clus_sol.optimal_k, 2) self.assertEqual(clus_sol.method, "one_se") def test_gap_max_less_max_clus(self): """Cluster: Test for gap_max where optimal k < max_cluster.""" - df_ip = pd.read_csv(path + "store.csv") - clus_sol = Cluster(df=df_ip, x_var=["x5"], - max_cluster=5, + df_ip = pd.read_csv(path + "test_cluster.csv") + clus_sol = Cluster(df=df_ip, x_var=["x3"], + max_cluster=3, nrefs=10, method="gap_max") clus_sol.opt_k() - self.assertLess(clus_sol.optimal_k, 5) + self.assertLess(clus_sol.optimal_k, 3) # ============================================================================= From 354155a658f853f7542d80a0b2a53eedeb199512 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Mon, 6 Sep 2021 15:01:28 +0530 Subject: [PATCH 013/116] v0.4.0 changelog: - added module GLMNet --- log/pylint/lib-glmnet-py.out | 4 ++ mllib/__main__.py | 6 ++ mllib/lib/cluster.py | 12 ++-- mllib/lib/glmnet.py | 115 +++++++++++++++++++++++++++++++++++ requirements.txt | 2 +- 5 files changed, 132 insertions(+), 7 deletions(-) create mode 100644 log/pylint/lib-glmnet-py.out create mode 100644 mllib/lib/glmnet.py diff --git a/log/pylint/lib-glmnet-py.out b/log/pylint/lib-glmnet-py.out new file mode 100644 index 0000000..d7495ee --- /dev/null +++ b/log/pylint/lib-glmnet-py.out @@ -0,0 +1,4 @@ + +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) + diff --git a/mllib/__main__.py b/mllib/__main__.py index edffb5a..6c6fb9e 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -27,6 +27,7 @@ from lib import cfg, utils # noqa: F841 from lib.cluster import Cluster # noqa: F841 +from lib.glmnet import GLMNet # noqa: F841 # ============================================================================= # --- DO NOT CHANGE ANYTHING FROM HERE @@ -72,3 +73,8 @@ "optimal k = " + str(clus_sol.optimal_k), elapsed_time("Time", start), sep="\n") + # --- GLMNet + df_ip = pd.read_csv(path + "input/test_glmnet.csv") + glm_mod = GLMNet(df=df_ip, + y_var=["y"], + x_var=["x1", "x2", "x3"]) diff --git a/mllib/lib/cluster.py b/mllib/lib/cluster.py index d4d8a48..b2844b9 100644 --- a/mllib/lib/cluster.py +++ b/mllib/lib/cluster.py @@ -51,21 +51,21 @@ class Cluster(): max_cluster : int, optional - Maximum number of clusters. The default is 20. + Maximum number of clusters (the default is 20). nrefs : int, optional - Number of random references to be created. The default is 20. + Number of random references to be created (the default is 20). seed : int, optional - Random seed. The default is 1. + Random seed (the default is 1). method : str, optional - Stopping criterion (`one_se` or `gap_max`). The default is `one_se`. + Stopping criterion: `one_se` or `gap_max` (the default is "one_se"). - Manual + README ------ Points to be noted for `method`: @@ -225,7 +225,7 @@ def _gap_statistic(self): columns=["cluster"])], axis=1) - def opt_k(self): + def opt_k(self) -> pd.DataFrame: """Compute optimal number of clusters using gap statistic. Returns diff --git a/mllib/lib/glmnet.py b/mllib/lib/glmnet.py new file mode 100644 index 0000000..2855247 --- /dev/null +++ b/mllib/lib/glmnet.py @@ -0,0 +1,115 @@ +""" +GLMNet module. + +Objective: + - Build + `GLMNet `_ + model using optimal alpha and lambda + +Credits +------- +:: + + Authors: + - Diptesh + + Date: Sep 06, 2021 +""" + +# pylint: disable=invalid-name +# pylint: disable=R0902,R0903,R0913,R0914 + +from typing import List, Dict + +import pandas as pd +import numpy as np + +# ============================================================================= +# --- DO NOT CHANGE ANYTHING FROM HERE +# ============================================================================= + + +class GLMNet(): + """GLMNet module. + + Objective: + - Build + `GLMNet `_ + model using optimal alpha and lambda + + Parameters + ---------- + df : pd.DataFrame + + Pandas dataframe containing `y_var` and `x_var` variables. + + y_var : List[str] + + Dependant variables. + + x_var : List[str] + + Independant variables. + + timeseries : bool, optional + + Boolean value to indicate time-series inputs (the default is False). + + param : Dict, optional + + GLMNet parameters (the default is None). + In case of None, the parameters will default to:: + + seed: 1 + a_inc: 0.05 + test_perc: 0.25 + n_jobs: -1 + k_fold: 10 + lambda_param: [1e-5, 1e-4, 1e-3, 1e-2, 1e-1, 1.0, 10.0, 100.0] + timeseries: False + + """ + + def __init__(self, + df: pd.DataFrame, + y_var: List[str], + x_var: List[str], + timeseries: bool = False, + param: Dict = None): + """Initialize variables for module ``GLMNet``.""" + self.df = df + self.y_var = y_var + self.x_var = x_var + if param is None: + param = {"seed": 1, + "a_inc": 0.05, + "test_perc": 0.25, + "n_jobs": -1, + "k_fold": 10, + "lambda_param": [1e-5, 1e-4, 1e-3, 1e-2, 1e-1, + 1.0, 10.0, 100.0]} + self.param = param + self.param["l1_range"] = list(np.array(range(5, 105, + int(self.param["a_inc"] + * 100.0))) / 100.0) + self.param["timeseries"] = timeseries + + def fit(self): + """Fit the best GLMNet model.""" + + def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: + """Short summary. + + Parameters + ---------- + df_predict : pd.DataFrame + + Pandas dataframe containing `x_var`. + + Returns + ------- + pd.DataFrame + + Pandas dataframe containing predicted `y_var` and `x_var`. + + """ diff --git a/requirements.txt b/requirements.txt index 362a3a8..33253fa 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,3 +1,3 @@ -pandas==1.1.3 numpy==1.19.5 +pandas==1.1.3 scikit_learn==0.24.2 From 67dcbeab70ea70245895b75c9bfdbb354585d5e1 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Tue, 7 Sep 2021 20:52:40 +0530 Subject: [PATCH 014/116] v0.4.0 changelog: - added udf to create lag variables for time series input with associated tests --- README.md | 2 +- data/input/test_lag_var.csv | 13 ++++ data/input/test_timeseries.csv | 105 +++++++++++++++++++++++++++++ log/cov.out | 15 +++-- log/pip.out | 2 +- log/pylint/lib-model-py.out | 4 ++ log/pylint/tests-test_model-py.out | 4 ++ mllib/__main__.py | 3 +- mllib/lib/{glmnet.py => model.py} | 67 +++++++++++++++--- requirements.txt | 2 +- tests/test_model.py | 88 ++++++++++++++++++++++++ 11 files changed, 285 insertions(+), 20 deletions(-) create mode 100644 data/input/test_lag_var.csv create mode 100644 data/input/test_timeseries.csv create mode 100644 log/pylint/lib-model-py.out create mode 100644 log/pylint/tests-test_model-py.out rename mllib/lib/{glmnet.py => model.py} (59%) create mode 100644 tests/test_model.py diff --git a/README.md b/README.md index bd1074c..d1e0f33 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ [![Python](https://github.com/bdiptesh/mllib/actions/workflows/python.yml/badge.svg)](https://github.com/bdiptesh/mllib/actions/workflows/python.yml) [![pylint Score](https://mperlet.github.io/pybadge/badges/10.0.svg)](./log/pylint/) -[![Coverage score](https://img.shields.io/badge/coverage-100%25-dagreen.svg)](./log/cov.out) +[![Coverage score](https://img.shields.io/badge/coverage-95%25-red.svg)](./log/cov.out) [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause) *** diff --git a/data/input/test_lag_var.csv b/data/input/test_lag_var.csv new file mode 100644 index 0000000..e5ba31d --- /dev/null +++ b/data/input/test_lag_var.csv @@ -0,0 +1,13 @@ +week,y,lag_6,lag_4,lag_3,lag_2,lag_1,x1,x2 +1,14,,,,,,2,18 +2,12,,,,,,2,15 +3,14,,,,,,1,13 +4,11,,,,,,1,13 +5,15,,,,,,1,16 +6,17,,,,,,1,17 +7,16,14,14,11,15,17,3,20 +8,14,12,11,15,17,16,2,18 +9,19,14,15,17,16,14,2,15 +10,19,11,17,16,14,19,2,11 +11,21,15,16,14,19,19,1,19 +12,15,17,14,19,19,21,3,14 diff --git a/data/input/test_timeseries.csv b/data/input/test_timeseries.csv new file mode 100644 index 0000000..8d3f020 --- /dev/null +++ b/data/input/test_timeseries.csv @@ -0,0 +1,105 @@ +week,y,x1,x2 +1,14,2,18 +2,12,2,15 +3,14,1,13 +4,11,1,13 +5,15,1,16 +6,17,1,17 +7,16,3,20 +8,14,2,18 +9,19,2,15 +10,19,2,11 +11,21,1,19 +12,15,3,14 +13,21,2,13 +14,22,2,17 +15,25,1,13 +16,19,2,19 +17,23,3,16 +18,27,3,11 +19,31,1,18 +20,21,3,11 +21,25,2,16 +22,30,3,17 +23,36,2,10 +24,23,3,16 +25,31,1,14 +26,32,1,14 +27,39,2,11 +28,27,2,15 +29,33,3,12 +30,34,2,20 +31,41,1,13 +32,30,2,10 +33,36,1,17 +34,39,2,14 +35,44,1,14 +36,34,2,15 +37,41,1,20 +38,41,2,11 +39,50,3,18 +40,40,3,20 +41,46,2,17 +42,48,1,19 +43,56,2,11 +44,45,1,11 +45,51,3,18 +46,52,2,16 +47,61,1,11 +48,51,3,15 +49,58,3,13 +50,56,1,17 +51,68,1,11 +52,57,3,14 +53,65,3,20 +54,62,3,13 +55,72,3,15 +56,61,3,16 +57,69,2,18 +58,70,1,18 +59,79,1,12 +60,67,2,10 +61,77,1,11 +62,74,2,19 +63,84,3,18 +64,73,1,20 +65,83,2,15 +66,82,3,20 +67,91,1,12 +68,78,1,10 +69,88,1,18 +70,87,3,13 +71,99,2,15 +72,85,1,18 +73,94,1,16 +74,94,3,13 +75,105,2,19 +76,92,1,13 +77,101,1,13 +78,99,1,16 +79,113,3,17 +80,100,1,17 +81,107,3,17 +82,108,3,13 +83,123,1,10 +84,109,1,12 +85,115,1,16 +86,116,1,16 +87,132,1,13 +88,118,3,15 +89,121,2,14 +90,123,1,19 +91,139,1,20 +92,128,1,12 +93,129,2,10 +94,134,3,18 +95,150,2,15 +96,135,3,14 +97,138,3,13 +98,143,2,17 +99,160,1,15 +100,146,3,16 +101,146,3,17 +102,152,3,20 +103,171,3,19 +104,155,3,10 diff --git a/log/cov.out b/log/cov.out index a6e7cb8..cfe714a 100644 --- a/log/cov.out +++ b/log/cov.out @@ -1,7 +1,8 @@ -Name Stmts Miss Cover Missing ------------------------------------------------------ -mllib/__init__.py 7 0 100% -mllib/lib/__init__.py 7 0 100% -mllib/lib/cluster.py 103 0 100% ------------------------------------------------------ -TOTAL 117 0 100% +Name Stmts Miss Cover Missing +-------------------------------------------------------------------------------------------- +/media/ph33r/Data/Project/mllib/GitHub/mllib/__init__.py 7 0 100% +/media/ph33r/Data/Project/mllib/GitHub/mllib/lib/__init__.py 7 0 100% +/media/ph33r/Data/Project/mllib/GitHub/mllib/lib/cluster.py 103 0 100% +/media/ph33r/Data/Project/mllib/GitHub/mllib/lib/model.py 31 8 74% 129-144 +-------------------------------------------------------------------------------------------- +TOTAL 148 8 95% diff --git a/log/pip.out b/log/pip.out index 6b4200b..b25fea1 100644 --- a/log/pip.out +++ b/log/pip.out @@ -1 +1 @@ -INFO: Successfully saved requirements file in /media/ph33r/Data/Project/mllib/dev/requirements.txt +INFO: Successfully saved requirements file in /media/ph33r/Data/Project/mllib/GitHub/requirements.txt diff --git a/log/pylint/lib-model-py.out b/log/pylint/lib-model-py.out new file mode 100644 index 0000000..d7495ee --- /dev/null +++ b/log/pylint/lib-model-py.out @@ -0,0 +1,4 @@ + +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) + diff --git a/log/pylint/tests-test_model-py.out b/log/pylint/tests-test_model-py.out new file mode 100644 index 0000000..d7495ee --- /dev/null +++ b/log/pylint/tests-test_model-py.out @@ -0,0 +1,4 @@ + +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) + diff --git a/mllib/__main__.py b/mllib/__main__.py index 6c6fb9e..50bf96e 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -27,7 +27,7 @@ from lib import cfg, utils # noqa: F841 from lib.cluster import Cluster # noqa: F841 -from lib.glmnet import GLMNet # noqa: F841 +from lib.model import GLMNet # noqa: F841 # ============================================================================= # --- DO NOT CHANGE ANYTHING FROM HERE @@ -58,6 +58,7 @@ args = CLI.parse_args() fn_ip = args.filename[0] +fn_ip = "store.csv" # ============================================================================= # --- Main diff --git a/mllib/lib/glmnet.py b/mllib/lib/model.py similarity index 59% rename from mllib/lib/glmnet.py rename to mllib/lib/model.py index 2855247..2d7b097 100644 --- a/mllib/lib/glmnet.py +++ b/mllib/lib/model.py @@ -1,10 +1,9 @@ """ -GLMNet module. +Module for commonly used machine learning modelling algorithms. -Objective: - - Build - `GLMNet `_ - model using optimal alpha and lambda +**Available routines:** + +- class ``GLMNet``: Builds GLMnet model using cross validation. Credits ------- @@ -29,6 +28,56 @@ # ============================================================================= +def create_lag_vars(df: pd.DataFrame, + y_var: List[str], + x_var: List[str], + n_interval: str = None) -> pd.DataFrame: + """Create lag variables for time series data. + + Parameters + ---------- + df : pd.DataFrame + + Pandas dataframe containing `y_var`, `x_var` and `n_interval` + (if provided). + + y_var : List[str] + + Dependant variable. + + x_var : List[str] + Independant variables. + + n_interval : str, optional + + Column name of the time interval variable (the default is None). + + Returns + ------- + pd.DataFrame + + Pandas dataframe containing `y_var`, lag variables (`lag_xx`) and + `x_var`. + + """ + if n_interval is None: + y_lag = df[y_var].reset_index(drop=True) + else: + y_lag = df.sort_values(by=n_interval) + y_lag = y_lag[y_var].reset_index(drop=True) + time_int = len(y_lag) + lag_interval = [] + while time_int > 8: + time_int = int(np.floor(time_int/2)) + lag_interval.extend([time_int]) + lag_interval.extend([4, 3, 2, 1]) + for lag in lag_interval: + y_lag.loc[:, "lag_" + str(lag)] = y_lag["y"].shift(lag) + y_lag = y_lag.join(df[x_var]) + op = y_lag.dropna().reset_index(drop=True) + return op + + class GLMNet(): """GLMNet module. @@ -45,7 +94,7 @@ class GLMNet(): y_var : List[str] - Dependant variables. + Dependant variable. x_var : List[str] @@ -89,9 +138,9 @@ def __init__(self, "lambda_param": [1e-5, 1e-4, 1e-3, 1e-2, 1e-1, 1.0, 10.0, 100.0]} self.param = param - self.param["l1_range"] = list(np.array(range(5, 105, - int(self.param["a_inc"] - * 100.0))) / 100.0) + self.param["l1_range"] = list(np.round(np.arange(0.0, 1.01, + self.param["a_inc"]), + 10)) self.param["timeseries"] = timeseries def fit(self): diff --git a/requirements.txt b/requirements.txt index 33253fa..362a3a8 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,3 +1,3 @@ -numpy==1.19.5 pandas==1.1.3 +numpy==1.19.5 scikit_learn==0.24.2 diff --git a/tests/test_model.py b/tests/test_model.py new file mode 100644 index 0000000..ae8bcd9 --- /dev/null +++ b/tests/test_model.py @@ -0,0 +1,88 @@ +""" +Test suite module for ``model``. + +Credits +------- +:: + + Authors: + - Diptesh + + Date: Sep 07, 2021 +""" + +# pylint: disable=invalid-name +# pylint: disable=wrong-import-position + +import unittest +import warnings +import re +import sys + +from inspect import getsourcefile +from os.path import abspath + +import pandas as pd + +# Set base path +path = abspath(getsourcefile(lambda: 0)) +path = re.sub(r"(.+)(\/tests.*)", "\\1", path) + +sys.path.insert(0, path) + +from mllib.lib.model import create_lag_vars # noqa: F841 + +# ============================================================================= +# --- DO NOT CHANGE ANYTHING FROM HERE +# ============================================================================= + +path = path + "/data/input/" + +# ============================================================================= +# --- User defined functions +# ============================================================================= + + +def ignore_warnings(test_func): + """Suppress deprecation warnings of pulp.""" + + def do_test(self, *args, **kwargs): + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + test_func(self, *args, **kwargs) + return do_test + + +class TestCreateLagVars(unittest.TestCase): + """Test suite for module ``metric``.""" + + def setUp(self): + """Set up for module ``metric``.""" + + def test_no_interval_specified(self): + """Lag vars: Test when no interval is specified.""" + df_ip = pd.read_csv(path + "test_lag_var.csv") + df_op = create_lag_vars(df=df_ip, + y_var=["y"], + x_var=["x1", "x2"]) + exp_op = df_ip[list(df_ip.columns[1:])].dropna().reset_index(drop=True) + self.assertEqual(df_op.equals(exp_op), True) + + def test_interval_specified(self): + """Lag vars: Test when interval is specified.""" + df_ip = pd.read_csv(path + "test_lag_var.csv") + df_op = create_lag_vars(df=df_ip, + y_var=["y"], + x_var=["x1", "x2"], + n_interval="week") + exp_op = df_ip[list(df_ip.columns[1:])].dropna().reset_index(drop=True) + self.assertEqual(df_op.equals(exp_op), True) + + +# ============================================================================= +# --- Main +# ============================================================================= + + +if __name__ == '__main__': + unittest.main() From 8061cf2f3d0fd52a402fc619f5f1ec30bb068b76 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Tue, 7 Sep 2021 20:54:25 +0530 Subject: [PATCH 015/116] v0.4.0 --- mllib/lib/model.py | 1 + 1 file changed, 1 insertion(+) diff --git a/mllib/lib/model.py b/mllib/lib/model.py index 2d7b097..b5b0f3f 100644 --- a/mllib/lib/model.py +++ b/mllib/lib/model.py @@ -3,6 +3,7 @@ **Available routines:** +- udf ``create_lag_vars``: Create lag variables for time series data. - class ``GLMNet``: Builds GLMnet model using cross validation. Credits From 0e3ef0de5b275065b8c79cc7c38a5c6be056802e Mon Sep 17 00:00:00 2001 From: MadhuTangudu Date: Tue, 7 Sep 2021 22:57:37 +0530 Subject: [PATCH 016/116] v0.4.0 changelog: - glmnet class added to model.py --- mllib/__main__.py | 1 + mllib/lib/model.py | 72 +++++++++++++++++++++++++++++++++++++++++----- 2 files changed, 66 insertions(+), 7 deletions(-) diff --git a/mllib/__main__.py b/mllib/__main__.py index 50bf96e..e44bb42 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -79,3 +79,4 @@ glm_mod = GLMNet(df=df_ip, y_var=["y"], x_var=["x1", "x2", "x3"]) + glm_mod.fit() diff --git a/mllib/lib/model.py b/mllib/lib/model.py index b5b0f3f..10ff0c2 100644 --- a/mllib/lib/model.py +++ b/mllib/lib/model.py @@ -23,7 +23,10 @@ import pandas as pd import numpy as np - +from sklearn.model_selection import TimeSeriesSplit as ts_split +from sklearn.linear_model import ElasticNet +from sklearn.model_selection import RandomizedSearchCV +from sklearn.model_selection import GridSearchCV # ============================================================================= # --- DO NOT CHANGE ANYTHING FROM HERE # ============================================================================= @@ -105,6 +108,15 @@ class GLMNet(): Boolean value to indicate time-series inputs (the default is False). + search_method : str, optional + + String to indicate the hyper parameter search method. Possible values + are "grid", "random" (the default is "random") + + n_interval : str, optional + + Column name of the time interval variable (the default is None). + param : Dict, optional GLMNet parameters (the default is None). @@ -117,6 +129,7 @@ class GLMNet(): k_fold: 10 lambda_param: [1e-5, 1e-4, 1e-3, 1e-2, 1e-1, 1.0, 10.0, 100.0] timeseries: False + search_method: "random" """ @@ -125,9 +138,11 @@ def __init__(self, y_var: List[str], x_var: List[str], timeseries: bool = False, + search_method: str = "random", + n_interval: str = None, param: Dict = None): """Initialize variables for module ``GLMNet``.""" - self.df = df + self.df = df[y_var].join(df[x_var]) self.y_var = y_var self.x_var = x_var if param is None: @@ -137,15 +152,52 @@ def __init__(self, "n_jobs": -1, "k_fold": 10, "lambda_param": [1e-5, 1e-4, 1e-3, 1e-2, 1e-1, - 1.0, 10.0, 100.0]} + 1.0, 10.0, 100.0]} self.param = param - self.param["l1_range"] = list(np.round(np.arange(0.0, 1.01, - self.param["a_inc"]), - 10)) + self.param["l1_range"] = \ + [x*self.param["a_inc"] for x in range(\ + 1, int(1/self.param["a_inc"])+1)] self.param["timeseries"] = timeseries - + self.param["search_method"] = search_method + # if self.param["timeseries"]: + # self.df = create_lag_vars(self.df, y_var, x_var, n_interval) + # self.x_var = list(self.df) + # self.y_var = [self.x_var.pop(0)] + def fit(self): """Fit the best GLMNet model.""" + train_x = self.df[self.x_var] + train_x = pd.get_dummies(data=train_x, drop_first=True) + train_y = self.df[self.y_var] + if self.param["timeseries"]: + folds = ts_split(n_splits=self.param["k_fold"]) + folds = folds.split(X=train_y) + else: + folds = self.param["k_fold"] + est_glmnet = ElasticNet(random_state=self.param["seed"]) + grid = {"l1_ratio":self.param["l1_range"], + "alpha":self.param["lambda_param"]} + if self.param["search_method"]=="grid": + self.model = GridSearchCV(estimator=est_glmnet, + param_grid=grid, + n_jobs=-1, + cv=folds, + verbose=0, + scoring="neg_mean_squared_error") + self.model.fit(train_x, train_y) + if self.param["search_method"]=="random": + # n_iter = 30% of grid hyper parameter combinations + sample_perc = 0.3 + n_iter = int(np.ceil(len(self.param["l1_range"])*\ + len(self.param["lambda_param"])*sample_perc)) + self.model = RandomizedSearchCV(estimator=est_glmnet, + param_distributions=grid, + n_jobs=self.param["n_jobs"], + n_iter=n_iter, + cv=folds, + verbose=1, + scoring="neg_mean_squared_error") + self.model.fit(train_x, train_y) def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: """Short summary. @@ -163,3 +215,9 @@ def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: Pandas dataframe containing predicted `y_var` and `x_var`. """ + df_predict_cp = df_predict.copy(deep=True) + df_predict = pd.get_dummies(data=df_predict, drop_first=True) + df_op = pd.DataFrame(self.model.predict(df_predict)) + df_op.columns = ["y_hat"] + df_op = df_op.join(df_predict_cp) + return df_op From 1238736ed42d2248e7fdafd49df975221ecc7412 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Wed, 8 Sep 2021 12:12:59 +0530 Subject: [PATCH 017/116] v0.4.0 --- README.md | 2 +- log/cov.out | 4 ++-- mllib/lib/model.py | 38 +++++++++++++++++++------------------- requirements.txt | 2 +- 4 files changed, 23 insertions(+), 23 deletions(-) diff --git a/README.md b/README.md index d1e0f33..f41ff89 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ [![Python](https://github.com/bdiptesh/mllib/actions/workflows/python.yml/badge.svg)](https://github.com/bdiptesh/mllib/actions/workflows/python.yml) [![pylint Score](https://mperlet.github.io/pybadge/badges/10.0.svg)](./log/pylint/) -[![Coverage score](https://img.shields.io/badge/coverage-95%25-red.svg)](./log/cov.out) +[![Coverage score](https://img.shields.io/badge/coverage-81%25-red.svg)](./log/cov.out) [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause) *** diff --git a/log/cov.out b/log/cov.out index cfe714a..a66fd78 100644 --- a/log/cov.out +++ b/log/cov.out @@ -3,6 +3,6 @@ Name Stmts Miss Cov /media/ph33r/Data/Project/mllib/GitHub/mllib/__init__.py 7 0 100% /media/ph33r/Data/Project/mllib/GitHub/mllib/lib/__init__.py 7 0 100% /media/ph33r/Data/Project/mllib/GitHub/mllib/lib/cluster.py 103 0 100% -/media/ph33r/Data/Project/mllib/GitHub/mllib/lib/model.py 31 8 74% 129-144 +/media/ph33r/Data/Project/mllib/GitHub/mllib/lib/model.py 61 34 44% 146-164, 168-200, 218-223 -------------------------------------------------------------------------------------------- -TOTAL 148 8 95% +TOTAL 178 34 81% diff --git a/mllib/lib/model.py b/mllib/lib/model.py index 10ff0c2..9af74ea 100644 --- a/mllib/lib/model.py +++ b/mllib/lib/model.py @@ -27,6 +27,7 @@ from sklearn.linear_model import ElasticNet from sklearn.model_selection import RandomizedSearchCV from sklearn.model_selection import GridSearchCV + # ============================================================================= # --- DO NOT CHANGE ANYTHING FROM HERE # ============================================================================= @@ -110,9 +111,9 @@ class GLMNet(): search_method : str, optional - String to indicate the hyper parameter search method. Possible values - are "grid", "random" (the default is "random") - + String to indicate the hyper parameter search method. Possible values + are "grid", "random" (the default is "random") + n_interval : str, optional Column name of the time interval variable (the default is None). @@ -145,6 +146,8 @@ def __init__(self, self.df = df[y_var].join(df[x_var]) self.y_var = y_var self.x_var = x_var + self.model = None + self.n_interval = n_interval if param is None: param = {"seed": 1, "a_inc": 0.05, @@ -152,18 +155,14 @@ def __init__(self, "n_jobs": -1, "k_fold": 10, "lambda_param": [1e-5, 1e-4, 1e-3, 1e-2, 1e-1, - 1.0, 10.0, 100.0]} + 1.0, 10.0, 100.0]} self.param = param - self.param["l1_range"] = \ - [x*self.param["a_inc"] for x in range(\ - 1, int(1/self.param["a_inc"])+1)] + self.param["l1_range"] = list(np.round(np.arange(0.0, 1.01, + self.param["a_inc"]), + 10)) self.param["timeseries"] = timeseries self.param["search_method"] = search_method - # if self.param["timeseries"]: - # self.df = create_lag_vars(self.df, y_var, x_var, n_interval) - # self.x_var = list(self.df) - # self.y_var = [self.x_var.pop(0)] - + def fit(self): """Fit the best GLMNet model.""" train_x = self.df[self.x_var] @@ -175,9 +174,9 @@ def fit(self): else: folds = self.param["k_fold"] est_glmnet = ElasticNet(random_state=self.param["seed"]) - grid = {"l1_ratio":self.param["l1_range"], - "alpha":self.param["lambda_param"]} - if self.param["search_method"]=="grid": + grid = {"l1_ratio": self.param["l1_range"], + "alpha": self.param["lambda_param"]} + if self.param["search_method"] == "grid": self.model = GridSearchCV(estimator=est_glmnet, param_grid=grid, n_jobs=-1, @@ -185,11 +184,12 @@ def fit(self): verbose=0, scoring="neg_mean_squared_error") self.model.fit(train_x, train_y) - if self.param["search_method"]=="random": + if self.param["search_method"] == "random": # n_iter = 30% of grid hyper parameter combinations sample_perc = 0.3 - n_iter = int(np.ceil(len(self.param["l1_range"])*\ - len(self.param["lambda_param"])*sample_perc)) + n_iter = int(np.ceil(len(self.param["l1_range"]) + * len(self.param["lambda_param"]) + * sample_perc)) self.model = RandomizedSearchCV(estimator=est_glmnet, param_distributions=grid, n_jobs=self.param["n_jobs"], @@ -200,7 +200,7 @@ def fit(self): self.model.fit(train_x, train_y) def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: - """Short summary. + """Predict y_var/target variable. Parameters ---------- diff --git a/requirements.txt b/requirements.txt index 362a3a8..33253fa 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,3 +1,3 @@ -pandas==1.1.3 numpy==1.19.5 +pandas==1.1.3 scikit_learn==0.24.2 From 4d551908bdf8d8d5f0221105a3cfe9dbf952e061 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Wed, 8 Sep 2021 21:02:49 +0530 Subject: [PATCH 018/116] v0.4.0 changelog: - added GLMNet module with associated test cases --- README.md | 4 +- log/cov.out | 4 +- mllib/__main__.py | 10 +++- mllib/lib/cluster.py | 4 +- mllib/lib/model.py | 109 ++++++++++++++++--------------------------- requirements.txt | 2 +- tests/test_model.py | 42 +++++++++++++++-- 7 files changed, 92 insertions(+), 83 deletions(-) diff --git a/README.md b/README.md index f41ff89..addf166 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ [![Python](https://github.com/bdiptesh/mllib/actions/workflows/python.yml/badge.svg)](https://github.com/bdiptesh/mllib/actions/workflows/python.yml) [![pylint Score](https://mperlet.github.io/pybadge/badges/10.0.svg)](./log/pylint/) -[![Coverage score](https://img.shields.io/badge/coverage-81%25-red.svg)](./log/cov.out) -[![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause) +[![Coverage score](https://img.shields.io/badge/coverage-100%25-dagreen.svg)](./log/cov.out) +[![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](./LICENSE) *** ## Table of contents diff --git a/log/cov.out b/log/cov.out index a66fd78..f87518b 100644 --- a/log/cov.out +++ b/log/cov.out @@ -3,6 +3,6 @@ Name Stmts Miss Cov /media/ph33r/Data/Project/mllib/GitHub/mllib/__init__.py 7 0 100% /media/ph33r/Data/Project/mllib/GitHub/mllib/lib/__init__.py 7 0 100% /media/ph33r/Data/Project/mllib/GitHub/mllib/lib/cluster.py 103 0 100% -/media/ph33r/Data/Project/mllib/GitHub/mllib/lib/model.py 61 34 44% 146-164, 168-200, 218-223 +/media/ph33r/Data/Project/mllib/GitHub/mllib/lib/model.py 44 0 100% -------------------------------------------------------------------------------------------- -TOTAL 178 34 81% +TOTAL 161 0 100% diff --git a/mllib/__main__.py b/mllib/__main__.py index e44bb42..ef53af1 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -67,16 +67,22 @@ if __name__ == '__main__': start = time.time_ns() # --- Clustering + start_t = time.time_ns() df_ip = pd.read_csv(path + "input/" + fn_ip) clus_sol = Cluster(df=df_ip, x_var=["x1"]) clus_sol.opt_k() print("Clustering\n", "optimal k = " + str(clus_sol.optimal_k), - elapsed_time("Time", start), + elapsed_time("Time", start_t), sep="\n") # --- GLMNet + start_t = time.time_ns() df_ip = pd.read_csv(path + "input/test_glmnet.csv") glm_mod = GLMNet(df=df_ip, y_var=["y"], x_var=["x1", "x2", "x3"]) - glm_mod.fit() + print("\nGLMNet\n", + elapsed_time("Time", start_t), + sep="\n") + # --- EOF + print(sep, elapsed_time("Total time", start), sep, sep="\n") diff --git a/mllib/lib/cluster.py b/mllib/lib/cluster.py index b2844b9..b0e9d14 100644 --- a/mllib/lib/cluster.py +++ b/mllib/lib/cluster.py @@ -65,8 +65,8 @@ class Cluster(): Stopping criterion: `one_se` or `gap_max` (the default is "one_se"). - README - ------ + Notes + ----- Points to be noted for `method`: - Default method is `one_se`. diff --git a/mllib/lib/model.py b/mllib/lib/model.py index 9af74ea..ab283b8 100644 --- a/mllib/lib/model.py +++ b/mllib/lib/model.py @@ -23,10 +23,9 @@ import pandas as pd import numpy as np -from sklearn.model_selection import TimeSeriesSplit as ts_split -from sklearn.linear_model import ElasticNet -from sklearn.model_selection import RandomizedSearchCV -from sklearn.model_selection import GridSearchCV + +from sklearn.linear_model import ElasticNetCV +from sklearn.model_selection import train_test_split as split # ============================================================================= # --- DO NOT CHANGE ANYTHING FROM HERE @@ -105,18 +104,9 @@ class GLMNet(): Independant variables. - timeseries : bool, optional - - Boolean value to indicate time-series inputs (the default is False). - - search_method : str, optional - - String to indicate the hyper parameter search method. Possible values - are "grid", "random" (the default is "random") + strata : pd.DataFrame, optional - n_interval : str, optional - - Column name of the time interval variable (the default is None). + A pandas dataframe column defining the strata (the default is None). param : Dict, optional @@ -128,9 +118,6 @@ class GLMNet(): test_perc: 0.25 n_jobs: -1 k_fold: 10 - lambda_param: [1e-5, 1e-4, 1e-3, 1e-2, 1e-1, 1.0, 10.0, 100.0] - timeseries: False - search_method: "random" """ @@ -138,66 +125,50 @@ def __init__(self, df: pd.DataFrame, y_var: List[str], x_var: List[str], - timeseries: bool = False, - search_method: str = "random", - n_interval: str = None, + strata: str = None, param: Dict = None): """Initialize variables for module ``GLMNet``.""" - self.df = df[y_var].join(df[x_var]) + self.df = df[y_var + x_var] self.y_var = y_var self.x_var = x_var - self.model = None - self.n_interval = n_interval + self.strata = strata if param is None: param = {"seed": 1, "a_inc": 0.05, "test_perc": 0.25, "n_jobs": -1, - "k_fold": 10, - "lambda_param": [1e-5, 1e-4, 1e-3, 1e-2, 1e-1, - 1.0, 10.0, 100.0]} + "k_fold": 10} self.param = param - self.param["l1_range"] = list(np.round(np.arange(0.0, 1.01, + self.param["l1_range"] = list(np.round(np.arange(0.0001, 1.01, self.param["a_inc"]), 10)) - self.param["timeseries"] = timeseries - self.param["search_method"] = search_method + self._fit() - def fit(self): + def _fit(self) -> None: """Fit the best GLMNet model.""" - train_x = self.df[self.x_var] - train_x = pd.get_dummies(data=train_x, drop_first=True) - train_y = self.df[self.y_var] - if self.param["timeseries"]: - folds = ts_split(n_splits=self.param["k_fold"]) - folds = folds.split(X=train_y) - else: - folds = self.param["k_fold"] - est_glmnet = ElasticNet(random_state=self.param["seed"]) - grid = {"l1_ratio": self.param["l1_range"], - "alpha": self.param["lambda_param"]} - if self.param["search_method"] == "grid": - self.model = GridSearchCV(estimator=est_glmnet, - param_grid=grid, - n_jobs=-1, - cv=folds, - verbose=0, - scoring="neg_mean_squared_error") - self.model.fit(train_x, train_y) - if self.param["search_method"] == "random": - # n_iter = 30% of grid hyper parameter combinations - sample_perc = 0.3 - n_iter = int(np.ceil(len(self.param["l1_range"]) - * len(self.param["lambda_param"]) - * sample_perc)) - self.model = RandomizedSearchCV(estimator=est_glmnet, - param_distributions=grid, - n_jobs=self.param["n_jobs"], - n_iter=n_iter, - cv=folds, - verbose=1, - scoring="neg_mean_squared_error") - self.model.fit(train_x, train_y) + train_x, test_x,\ + train_y, test_y = split(self.df[self.x_var], + self.df[self.y_var], + test_size=self.param["test_perc"], + random_state=self.param["seed"], + stratify=self.strata) + mod = ElasticNetCV(l1_ratio=self.param["l1_range"], + fit_intercept=True, + alphas=[1e-5, 1e-4, 1e-3, 1e-2, 1e-1, + 1.0, 10.0, 100.0], + normalize=True, + cv=self.param["k_fold"], + n_jobs=self.param["n_jobs"], + random_state=self.param["seed"]) + mod.fit(train_x, train_y.values.ravel()) + opt = {"alpha": mod.l1_ratio_, + "lambda": mod.alpha_, + "intercept": mod.intercept_, + "coef": mod.coef_, + "train_v": mod.score(train_x, train_y), + "test_v": mod.score(test_x, test_y)} + self.model = mod + self.opt = opt def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: """Predict y_var/target variable. @@ -215,9 +186,7 @@ def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: Pandas dataframe containing predicted `y_var` and `x_var`. """ - df_predict_cp = df_predict.copy(deep=True) - df_predict = pd.get_dummies(data=df_predict, drop_first=True) - df_op = pd.DataFrame(self.model.predict(df_predict)) - df_op.columns = ["y_hat"] - df_op = df_op.join(df_predict_cp) - return df_op + y_hat = self.model.predict(df_predict) + df_predict = df_predict.copy() + df_predict["y"] = y_hat + return df_predict diff --git a/requirements.txt b/requirements.txt index 33253fa..362a3a8 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,3 +1,3 @@ -numpy==1.19.5 pandas==1.1.3 +numpy==1.19.5 scikit_learn==0.24.2 diff --git a/tests/test_model.py b/tests/test_model.py index ae8bcd9..f505633 100644 --- a/tests/test_model.py +++ b/tests/test_model.py @@ -23,6 +23,7 @@ from os.path import abspath import pandas as pd +import numpy as np # Set base path path = abspath(getsourcefile(lambda: 0)) @@ -31,6 +32,7 @@ sys.path.insert(0, path) from mllib.lib.model import create_lag_vars # noqa: F841 +from mllib.lib.model import GLMNet # noqa: F841 # ============================================================================= # --- DO NOT CHANGE ANYTHING FROM HERE @@ -44,7 +46,7 @@ def ignore_warnings(test_func): - """Suppress deprecation warnings of pulp.""" + """Suppress deprecation warnings.""" def do_test(self, *args, **kwargs): with warnings.catch_warnings(): @@ -54,10 +56,10 @@ def do_test(self, *args, **kwargs): class TestCreateLagVars(unittest.TestCase): - """Test suite for module ``metric``.""" + """Test suite for UDF ``create_lag_vars``.""" def setUp(self): - """Set up for module ``metric``.""" + """Set up for UDF ``create_lag_vars``.""" def test_no_interval_specified(self): """Lag vars: Test when no interval is specified.""" @@ -79,10 +81,42 @@ def test_interval_specified(self): self.assertEqual(df_op.equals(exp_op), True) +class TestGLMNet(unittest.TestCase): + """Test suite for module ``GLMNet``.""" + + def setUp(self): + """Set up for module ``GLMNet``.""" + + def test_known_equation(self): + """GLMNet: Test a known equation.""" + df_ip = pd.read_csv(path + "test_glmnet.csv") + mod = GLMNet(df=df_ip, + y_var=["y"], + x_var=["x1", "x2", "x3"]) + op = mod.opt + self.assertEqual(np.round(op.get('intercept'), 0), 100.0) + self.assertEqual(np.round(op.get('coef')[0], 0), 2.0) + self.assertEqual(np.round(op.get('coef')[1], 0), 3.0) + self.assertEqual(np.round(op.get('coef')[2], 0), 0.0) + + def test_predict_target_variable(self): + """GLMNet: Test to predict a target variable.""" + df_ip = pd.read_csv(path + "test_glmnet.csv") + mod = GLMNet(df=df_ip, + y_var=["y"], + x_var=["x1", "x2", "x3"]) + df_predict = pd.DataFrame({"x1": [10, 20], + "x2": [5, 10], + "x3": [100, 0]}) + op = mod.predict(df_predict) + op = np.round(np.array(op["y"]), 1) + exp_op = np.array([135.0, 170.0]) + self.assertEqual((op == exp_op).all(), True) + + # ============================================================================= # --- Main # ============================================================================= - if __name__ == '__main__': unittest.main() From 68fba90eb8f80f9107ed790853690d3f832873aa Mon Sep 17 00:00:00 2001 From: MadhuTangudu Date: Fri, 10 Sep 2021 01:02:16 +0530 Subject: [PATCH 019/116] v0.4.0 changelog: - glmnet_ts.py module is added for tim series --- mllib/lib/glmnet_ts.py | 150 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 150 insertions(+) create mode 100644 mllib/lib/glmnet_ts.py diff --git a/mllib/lib/glmnet_ts.py b/mllib/lib/glmnet_ts.py new file mode 100644 index 0000000..9e4de01 --- /dev/null +++ b/mllib/lib/glmnet_ts.py @@ -0,0 +1,150 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +Created on Thu Sep 9 15:25:51 2021 + +@author: madhu +""" + +from typing import List, Dict + +import pandas as pd +import numpy as np + +from sklearn.linear_model import ElasticNetCV +from sklearn.model_selection import train_test_split as split +from sklearn.model_selection import TimeSeriesSplit as ts_split + +def create_lag_vars(df: pd.DataFrame, + y_var: List[str], + x_var: List[str], + n_interval: str = None) -> pd.DataFrame: + """Create lag variables for time series data. + + Parameters + ---------- + df : pd.DataFrame + + Pandas dataframe containing `y_var`, `x_var` and `n_interval` + (if provided). + + y_var : List[str] + + Dependant variable. + + x_var : List[str] + Independant variables. + + n_interval : str, optional + + Column name of the time interval variable (the default is None). + + Returns + ------- + pd.DataFrame + + Pandas dataframe containing `y_var`, lag variables (`lag_xx`) and + `x_var`. + + """ + if n_interval is None: + y_lag = df[y_var].reset_index(drop=True) + else: + y_lag = df.sort_values(by=n_interval) + y_lag = y_lag[y_var].reset_index(drop=True) + time_int = len(y_lag) + lag_interval = [] + while time_int > 8: + time_int = int(np.floor(time_int/2)) + lag_interval.extend([time_int]) + lag_interval.extend([4, 3, 2, 1]) + for lag in lag_interval: + y_lag.loc[:, "lag_" + str(lag)] = y_lag["y"].shift(lag) + y_lag = y_lag.join(df[x_var]) + op = y_lag.dropna().reset_index(drop=True) + return op + + +df_ip = pd.read_csv("/media/madhu/Data/gitHub_kubuntu/mllib/data/" + "input/test_timeseries.csv") + +y_var=["y"] +x_var=["x1", "x2"] + +param = {} +param["a_inc"] = 0.015 +param["k_fold"] = 5 +param["test_perc"] = 0.2 +param["n_jobs"] = -1 +param["seed"] = 1 +param["l1_range"] = \ + [x*param["a_inc"] for x in range(\ + 1, int(1/param["a_inc"])+1)] + + +df_ip = create_lag_vars(df_ip, y_var, x_var, "week") +# modify create lag function to get lag list +lag_var = [52, 26, 13, 6, 4, 3, 2, 1] +x_var = list(df_ip.columns) +x_var.remove(y_var[0]) + +max_epoch = df_ip.index.max() + 1 + +# For prediction +df_pred_data = df_ip[y_var] + +df_train = df_ip[df_ip.index <= max_epoch *(1-param["test_perc"])] +df_test = df_ip[df_ip.index > (max_epoch) *(1-param["test_perc"])] + +train_x = df_train[x_var] +train_y = df_train[y_var] + +test_x = df_train[x_var] +test_y = df_train[y_var] + +param["k_fold"] = ts_split(n_splits=param["k_fold"]) +param["k_fold"] = param["k_fold"].split(X=train_y) + + +mod = ElasticNetCV(l1_ratio=param["l1_range"], + fit_intercept=True, + alphas=[1e-5, 1e-4, 1e-3, 1e-2, 1e-1, + 1.0, 10.0, 100.0], + normalize=True, + cv=param["k_fold"], + n_jobs=param["n_jobs"], + random_state=param["seed"]) + +mod.fit(train_x, train_y.values.ravel()) + +opt = {"alpha": mod.l1_ratio_, + "lambda": mod.alpha_, + "intercept": mod.intercept_, + "coef": mod.coef_, + "train_v": mod.score(train_x, train_y), + "test_v": mod.score(test_x, test_y)} +model = mod +opt = opt + + +# Prediction +df_predict = df_test.copy(deep=True) +# reset index +df_predict = df_predict.reset_index(drop=True) +df_predict = df_predict[["x1", "x2"]] +df_predict["y"] = -1 + +for i in range(0,len(df_test)): + df_pred = df_predict[df_predict.index == i].reset_index(drop=True) + df_pred = df_pred[["x1", "x2"]] + df_pred_x = pd.DataFrame({"lag_"+str(lag_var[0]):df_pred_data.iloc[len(df_pred_data)-lag_var[0]]}) + for j in range(1,len(lag_var)): + df_tmp = pd.DataFrame({"lag_"+str(lag_var[j]):df_pred_data.iloc[len(df_pred_data)-lag_var[j]]}) + df_pred_x = df_pred_x.join(df_tmp) + df_pred_x = df_pred_x.reset_index(drop=True) + df_pred_x = df_pred_x.join(df_pred) + y_hat = model.predict(df_pred_x) + df_tmp = pd.DataFrame() + df_tmp['y'] = y_hat + df_pred_data=df_pred_data.append(df_tmp).reset_index(drop=True) + df_predict["y"][i] = y_hat + From 63d603f7d4d490ccda54536ebf0eb95ba168a67b Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Fri, 10 Sep 2021 02:19:40 +0530 Subject: [PATCH 020/116] v0.4.0 changelog: - added binary for module metrics --- README.md | 2 +- bin/metrics/build.sh | 27 + .../metrics.cpython-37m-x86_64-linux-gnu.so | Bin 0 -> 181888 bytes .../build/temp.linux-x86_64-3.7/metrics.o | Bin 0 -> 395416 bytes bin/metrics/metrics.c | 4319 +++++++++++++++++ bin/metrics/metrics.pyx | 181 + bin/metrics/metrics.so | Bin 0 -> 181888 bytes bin/metrics/setup.py | 7 + log/pylint/lib-glmnet_ts-py.out | 55 + log/pylint/metrics-setup-py.out | 4 + log/pylint/tests-test_metrics-py.out | 10 + mllib/lib/metrics.so | Bin 0 -> 181888 bytes mllib/lib/model.py | 1 + requirements.txt | 3 +- tests/test_metrics.py | 102 + 15 files changed, 4709 insertions(+), 2 deletions(-) create mode 100644 bin/metrics/build.sh create mode 100644 bin/metrics/build/lib.linux-x86_64-3.7/metrics.cpython-37m-x86_64-linux-gnu.so create mode 100644 bin/metrics/build/temp.linux-x86_64-3.7/metrics.o create mode 100644 bin/metrics/metrics.c create mode 100644 bin/metrics/metrics.pyx create mode 100644 bin/metrics/metrics.so create mode 100644 bin/metrics/setup.py create mode 100644 log/pylint/lib-glmnet_ts-py.out create mode 100644 log/pylint/metrics-setup-py.out create mode 100644 log/pylint/tests-test_metrics-py.out create mode 100644 mllib/lib/metrics.so create mode 100644 tests/test_metrics.py diff --git a/README.md b/README.md index addf166..f4fd7de 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@ [![Python](https://github.com/bdiptesh/mllib/actions/workflows/python.yml/badge.svg)](https://github.com/bdiptesh/mllib/actions/workflows/python.yml) -[![pylint Score](https://mperlet.github.io/pybadge/badges/10.0.svg)](./log/pylint/) +[![pylint Score](https://mperlet.github.io/pybadge/badges/9.5.svg)](./log/pylint/) [![Coverage score](https://img.shields.io/badge/coverage-100%25-dagreen.svg)](./log/cov.out) [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](./LICENSE) *** diff --git a/bin/metrics/build.sh b/bin/metrics/build.sh new file mode 100644 index 0000000..c233a63 --- /dev/null +++ b/bin/metrics/build.sh @@ -0,0 +1,27 @@ +#!/bin/bash +# ============================================================================= +# Shared objects +# +# Objective: Build compiled shared objects (*.so files) from *pyx files. +# +# Version: 0.1.0 +# +# Author: Diptesh +# +# Date: Apr 17, 2020 +# +# ============================================================================= + +python setup.py build_ext --inplace + +pat="\.\/[^\/]+\.so" + +for i in $(find -name "*.so") +do + if [[ $i =~ $pat ]] + then + file_new=$(sed -E 's/(\.\/)([a-z0-9]+)(\..+\.so)/\2.so/' <<< $i) + file_old=$(sed -E 's/(\.\/)(.+)/\2/' <<< $i) + mv $file_old $file_new + fi +done diff --git a/bin/metrics/build/lib.linux-x86_64-3.7/metrics.cpython-37m-x86_64-linux-gnu.so b/bin/metrics/build/lib.linux-x86_64-3.7/metrics.cpython-37m-x86_64-linux-gnu.so new file mode 100644 index 0000000000000000000000000000000000000000..be2e20a9dc98f48bf2a6abb303aef09021bc1a31 GIT binary patch literal 181888 zcmeFa3wRV&(l_3nOp{5P%ycpd441$F2?U&k1dK_*XaWgLB!O^K@Ro!mkSHWEnJBn| zxJg{baTIse#p|N$1$Es;U6n<}fau_^7x0R=HQr~$3*xG*7xMk8PWPlUl6QB%|MPtR z?|r^^o`>$LI(6#QsZ*y;ozorq(z1#Nv(6h9H8Ly}Z16-X+s z8B#j)S|TMs2a3lCnsJvjfm0g_fiAk>=i+PRexOp|#@$?x+iTVNqwb%nf^OW+^@gCR zX1yq{2@JeTc7Z!}{fv6lYpU0(*K5`58TVf52!6)hDo}}Zq<`CVvqj%sI-hZmuD4IG 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CYTHON_USE_PYTYPE_LOOKUP 0 + #if PY_VERSION_HEX < 0x03050000 + #undef CYTHON_USE_ASYNC_SLOTS + #define CYTHON_USE_ASYNC_SLOTS 0 + #elif !defined(CYTHON_USE_ASYNC_SLOTS) + #define CYTHON_USE_ASYNC_SLOTS 1 + #endif + #undef CYTHON_USE_PYLIST_INTERNALS + #define CYTHON_USE_PYLIST_INTERNALS 0 + #undef CYTHON_USE_UNICODE_INTERNALS + #define CYTHON_USE_UNICODE_INTERNALS 0 + #undef CYTHON_USE_UNICODE_WRITER + #define CYTHON_USE_UNICODE_WRITER 0 + #undef CYTHON_USE_PYLONG_INTERNALS + #define CYTHON_USE_PYLONG_INTERNALS 0 + #undef CYTHON_AVOID_BORROWED_REFS + #define CYTHON_AVOID_BORROWED_REFS 1 + #undef CYTHON_ASSUME_SAFE_MACROS + #define CYTHON_ASSUME_SAFE_MACROS 0 + #undef CYTHON_UNPACK_METHODS + #define CYTHON_UNPACK_METHODS 0 + #undef CYTHON_FAST_THREAD_STATE + #define CYTHON_FAST_THREAD_STATE 0 + #undef CYTHON_FAST_PYCALL + #define CYTHON_FAST_PYCALL 0 + #undef CYTHON_PEP489_MULTI_PHASE_INIT + #define CYTHON_PEP489_MULTI_PHASE_INIT 0 + #undef CYTHON_USE_TP_FINALIZE + #define CYTHON_USE_TP_FINALIZE 0 + #undef CYTHON_USE_DICT_VERSIONS + #define CYTHON_USE_DICT_VERSIONS 0 + #undef CYTHON_USE_EXC_INFO_STACK + #define CYTHON_USE_EXC_INFO_STACK 0 +#elif defined(PYSTON_VERSION) + #define CYTHON_COMPILING_IN_PYPY 0 + #define CYTHON_COMPILING_IN_PYSTON 1 + #define CYTHON_COMPILING_IN_CPYTHON 0 + #ifndef CYTHON_USE_TYPE_SLOTS + #define CYTHON_USE_TYPE_SLOTS 1 + #endif + #undef CYTHON_USE_PYTYPE_LOOKUP + #define CYTHON_USE_PYTYPE_LOOKUP 0 + #undef CYTHON_USE_ASYNC_SLOTS + #define CYTHON_USE_ASYNC_SLOTS 0 + #undef CYTHON_USE_PYLIST_INTERNALS + #define CYTHON_USE_PYLIST_INTERNALS 0 + #ifndef CYTHON_USE_UNICODE_INTERNALS + #define CYTHON_USE_UNICODE_INTERNALS 1 + #endif + #undef CYTHON_USE_UNICODE_WRITER + #define CYTHON_USE_UNICODE_WRITER 0 + #undef CYTHON_USE_PYLONG_INTERNALS + #define CYTHON_USE_PYLONG_INTERNALS 0 + #ifndef CYTHON_AVOID_BORROWED_REFS + #define CYTHON_AVOID_BORROWED_REFS 0 + #endif + #ifndef CYTHON_ASSUME_SAFE_MACROS + #define CYTHON_ASSUME_SAFE_MACROS 1 + #endif + #ifndef CYTHON_UNPACK_METHODS + #define CYTHON_UNPACK_METHODS 1 + #endif + #undef CYTHON_FAST_THREAD_STATE + #define CYTHON_FAST_THREAD_STATE 0 + #undef CYTHON_FAST_PYCALL + #define CYTHON_FAST_PYCALL 0 + #undef CYTHON_PEP489_MULTI_PHASE_INIT + #define CYTHON_PEP489_MULTI_PHASE_INIT 0 + #undef CYTHON_USE_TP_FINALIZE + #define CYTHON_USE_TP_FINALIZE 0 + #undef CYTHON_USE_DICT_VERSIONS + #define CYTHON_USE_DICT_VERSIONS 0 + #undef CYTHON_USE_EXC_INFO_STACK + #define CYTHON_USE_EXC_INFO_STACK 0 +#else + #define CYTHON_COMPILING_IN_PYPY 0 + #define CYTHON_COMPILING_IN_PYSTON 0 + #define CYTHON_COMPILING_IN_CPYTHON 1 + #ifndef CYTHON_USE_TYPE_SLOTS + #define CYTHON_USE_TYPE_SLOTS 1 + #endif + #if PY_VERSION_HEX < 0x02070000 + #undef CYTHON_USE_PYTYPE_LOOKUP + #define CYTHON_USE_PYTYPE_LOOKUP 0 + #elif !defined(CYTHON_USE_PYTYPE_LOOKUP) + #define CYTHON_USE_PYTYPE_LOOKUP 1 + #endif + #if PY_MAJOR_VERSION < 3 + #undef CYTHON_USE_ASYNC_SLOTS + #define CYTHON_USE_ASYNC_SLOTS 0 + #elif !defined(CYTHON_USE_ASYNC_SLOTS) + #define CYTHON_USE_ASYNC_SLOTS 1 + #endif + #if PY_VERSION_HEX < 0x02070000 + #undef CYTHON_USE_PYLONG_INTERNALS + #define CYTHON_USE_PYLONG_INTERNALS 0 + #elif !defined(CYTHON_USE_PYLONG_INTERNALS) + #define CYTHON_USE_PYLONG_INTERNALS 1 + #endif + #ifndef CYTHON_USE_PYLIST_INTERNALS + #define CYTHON_USE_PYLIST_INTERNALS 1 + #endif + #ifndef CYTHON_USE_UNICODE_INTERNALS + #define CYTHON_USE_UNICODE_INTERNALS 1 + #endif + #if PY_VERSION_HEX < 0x030300F0 + #undef CYTHON_USE_UNICODE_WRITER + #define CYTHON_USE_UNICODE_WRITER 0 + #elif !defined(CYTHON_USE_UNICODE_WRITER) + #define CYTHON_USE_UNICODE_WRITER 1 + #endif + #ifndef CYTHON_AVOID_BORROWED_REFS + #define CYTHON_AVOID_BORROWED_REFS 0 + #endif + #ifndef CYTHON_ASSUME_SAFE_MACROS + #define CYTHON_ASSUME_SAFE_MACROS 1 + #endif + #ifndef CYTHON_UNPACK_METHODS + #define CYTHON_UNPACK_METHODS 1 + #endif + #ifndef CYTHON_FAST_THREAD_STATE + #define CYTHON_FAST_THREAD_STATE 1 + #endif + #ifndef CYTHON_FAST_PYCALL + #define CYTHON_FAST_PYCALL 1 + #endif + #ifndef CYTHON_PEP489_MULTI_PHASE_INIT + #define CYTHON_PEP489_MULTI_PHASE_INIT (PY_VERSION_HEX >= 0x03050000) + #endif + #ifndef CYTHON_USE_TP_FINALIZE + #define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1) + #endif + #ifndef CYTHON_USE_DICT_VERSIONS + #define CYTHON_USE_DICT_VERSIONS (PY_VERSION_HEX >= 0x030600B1) + #endif + #ifndef CYTHON_USE_EXC_INFO_STACK + #define CYTHON_USE_EXC_INFO_STACK (PY_VERSION_HEX >= 0x030700A3) + #endif +#endif +#if !defined(CYTHON_FAST_PYCCALL) +#define CYTHON_FAST_PYCCALL (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1) +#endif +#if CYTHON_USE_PYLONG_INTERNALS + #include "longintrepr.h" + #undef SHIFT + #undef BASE + #undef MASK + #ifdef SIZEOF_VOID_P + enum { __pyx_check_sizeof_voidp = 1 / (int)(SIZEOF_VOID_P == sizeof(void*)) }; + #endif +#endif +#ifndef __has_attribute + #define __has_attribute(x) 0 +#endif +#ifndef __has_cpp_attribute + #define __has_cpp_attribute(x) 0 +#endif +#ifndef CYTHON_RESTRICT + #if defined(__GNUC__) + #define CYTHON_RESTRICT __restrict__ + #elif defined(_MSC_VER) && _MSC_VER >= 1400 + #define CYTHON_RESTRICT __restrict + #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L + #define CYTHON_RESTRICT restrict + #else + #define CYTHON_RESTRICT + #endif +#endif +#ifndef CYTHON_UNUSED +# if defined(__GNUC__) +# if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4)) +# define CYTHON_UNUSED __attribute__ ((__unused__)) +# else +# define CYTHON_UNUSED +# endif +# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER)) +# define CYTHON_UNUSED __attribute__ ((__unused__)) +# else +# define CYTHON_UNUSED +# endif +#endif +#ifndef CYTHON_MAYBE_UNUSED_VAR +# if defined(__cplusplus) + template void CYTHON_MAYBE_UNUSED_VAR( const T& ) { } +# else +# define CYTHON_MAYBE_UNUSED_VAR(x) (void)(x) +# endif +#endif +#ifndef CYTHON_NCP_UNUSED +# if CYTHON_COMPILING_IN_CPYTHON +# define CYTHON_NCP_UNUSED +# else +# define CYTHON_NCP_UNUSED CYTHON_UNUSED +# endif +#endif +#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None) +#ifdef _MSC_VER + #ifndef _MSC_STDINT_H_ + #if _MSC_VER < 1300 + typedef unsigned char uint8_t; + typedef unsigned int uint32_t; + #else + typedef unsigned __int8 uint8_t; + typedef unsigned __int32 uint32_t; + #endif + #endif +#else + #include +#endif +#ifndef CYTHON_FALLTHROUGH + #if defined(__cplusplus) && __cplusplus >= 201103L + #if __has_cpp_attribute(fallthrough) + #define CYTHON_FALLTHROUGH [[fallthrough]] + #elif __has_cpp_attribute(clang::fallthrough) + #define CYTHON_FALLTHROUGH [[clang::fallthrough]] + #elif __has_cpp_attribute(gnu::fallthrough) + #define CYTHON_FALLTHROUGH [[gnu::fallthrough]] + #endif + #endif + #ifndef CYTHON_FALLTHROUGH + #if __has_attribute(fallthrough) + #define CYTHON_FALLTHROUGH __attribute__((fallthrough)) + #else + #define CYTHON_FALLTHROUGH + #endif + #endif + #if defined(__clang__ ) && defined(__apple_build_version__) + #if __apple_build_version__ < 7000000 + #undef CYTHON_FALLTHROUGH + #define CYTHON_FALLTHROUGH + #endif + #endif +#endif + +#ifndef CYTHON_INLINE + #if defined(__clang__) + #define CYTHON_INLINE __inline__ __attribute__ ((__unused__)) + #elif defined(__GNUC__) + #define CYTHON_INLINE __inline__ + #elif defined(_MSC_VER) + #define CYTHON_INLINE __inline + #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L + #define CYTHON_INLINE inline + #else + #define CYTHON_INLINE + #endif +#endif + +#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag) + #define Py_OptimizeFlag 0 +#endif +#define __PYX_BUILD_PY_SSIZE_T "n" +#define CYTHON_FORMAT_SSIZE_T "z" +#if PY_MAJOR_VERSION < 3 + #define __Pyx_BUILTIN_MODULE_NAME "__builtin__" + #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ + PyCode_New(a+k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) + #define __Pyx_DefaultClassType PyClass_Type +#else + #define __Pyx_BUILTIN_MODULE_NAME "builtins" +#if PY_VERSION_HEX >= 0x030800A4 && PY_VERSION_HEX < 0x030800B2 + #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ + PyCode_New(a, 0, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) +#else + #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ + PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) +#endif + #define __Pyx_DefaultClassType PyType_Type +#endif +#ifndef Py_TPFLAGS_CHECKTYPES + #define Py_TPFLAGS_CHECKTYPES 0 +#endif +#ifndef Py_TPFLAGS_HAVE_INDEX + #define Py_TPFLAGS_HAVE_INDEX 0 +#endif +#ifndef Py_TPFLAGS_HAVE_NEWBUFFER + #define Py_TPFLAGS_HAVE_NEWBUFFER 0 +#endif +#ifndef Py_TPFLAGS_HAVE_FINALIZE + #define Py_TPFLAGS_HAVE_FINALIZE 0 +#endif +#ifndef METH_STACKLESS + #define METH_STACKLESS 0 +#endif +#if PY_VERSION_HEX <= 0x030700A3 || !defined(METH_FASTCALL) + #ifndef METH_FASTCALL + #define METH_FASTCALL 0x80 + #endif + typedef PyObject *(*__Pyx_PyCFunctionFast) (PyObject *self, PyObject *const *args, Py_ssize_t nargs); + typedef PyObject *(*__Pyx_PyCFunctionFastWithKeywords) (PyObject *self, PyObject *const *args, + Py_ssize_t nargs, PyObject *kwnames); +#else + #define __Pyx_PyCFunctionFast _PyCFunctionFast + #define __Pyx_PyCFunctionFastWithKeywords _PyCFunctionFastWithKeywords +#endif +#if CYTHON_FAST_PYCCALL +#define __Pyx_PyFastCFunction_Check(func)\ + ((PyCFunction_Check(func) && (METH_FASTCALL == (PyCFunction_GET_FLAGS(func) & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS))))) +#else +#define __Pyx_PyFastCFunction_Check(func) 0 +#endif +#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Malloc) + #define PyObject_Malloc(s) PyMem_Malloc(s) + #define PyObject_Free(p) PyMem_Free(p) + #define PyObject_Realloc(p) PyMem_Realloc(p) +#endif +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030400A1 + #define PyMem_RawMalloc(n) PyMem_Malloc(n) + #define PyMem_RawRealloc(p, n) PyMem_Realloc(p, n) + #define PyMem_RawFree(p) PyMem_Free(p) +#endif +#if CYTHON_COMPILING_IN_PYSTON + #define __Pyx_PyCode_HasFreeVars(co) PyCode_HasFreeVars(co) + #define __Pyx_PyFrame_SetLineNumber(frame, lineno) PyFrame_SetLineNumber(frame, lineno) +#else + #define __Pyx_PyCode_HasFreeVars(co) (PyCode_GetNumFree(co) > 0) + #define __Pyx_PyFrame_SetLineNumber(frame, lineno) (frame)->f_lineno = (lineno) +#endif +#if !CYTHON_FAST_THREAD_STATE || PY_VERSION_HEX < 0x02070000 + #define __Pyx_PyThreadState_Current PyThreadState_GET() +#elif PY_VERSION_HEX >= 0x03060000 + #define __Pyx_PyThreadState_Current _PyThreadState_UncheckedGet() +#elif PY_VERSION_HEX >= 0x03000000 + #define __Pyx_PyThreadState_Current PyThreadState_GET() +#else + #define __Pyx_PyThreadState_Current _PyThreadState_Current +#endif +#if PY_VERSION_HEX < 0x030700A2 && !defined(PyThread_tss_create) && !defined(Py_tss_NEEDS_INIT) +#include "pythread.h" +#define Py_tss_NEEDS_INIT 0 +typedef int Py_tss_t; +static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) { + *key = PyThread_create_key(); + return 0; +} +static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) { + Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t)); + *key = Py_tss_NEEDS_INIT; + return key; +} +static CYTHON_INLINE void PyThread_tss_free(Py_tss_t *key) { + PyObject_Free(key); +} +static CYTHON_INLINE int PyThread_tss_is_created(Py_tss_t *key) { + return *key != Py_tss_NEEDS_INIT; +} +static CYTHON_INLINE void PyThread_tss_delete(Py_tss_t *key) { + PyThread_delete_key(*key); + *key = Py_tss_NEEDS_INIT; +} +static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) { + return PyThread_set_key_value(*key, value); +} +static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) { + return PyThread_get_key_value(*key); +} +#endif +#if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized) +#define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n)) +#else +#define __Pyx_PyDict_NewPresized(n) PyDict_New() +#endif +#if PY_MAJOR_VERSION >= 3 || CYTHON_FUTURE_DIVISION + #define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y) + #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y) +#else + #define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y) + #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y) +#endif +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 && CYTHON_USE_UNICODE_INTERNALS +#define __Pyx_PyDict_GetItemStr(dict, name) _PyDict_GetItem_KnownHash(dict, name, ((PyASCIIObject *) name)->hash) +#else +#define __Pyx_PyDict_GetItemStr(dict, name) PyDict_GetItem(dict, name) +#endif +#if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND) + #define CYTHON_PEP393_ENABLED 1 + #define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ?\ + 0 : _PyUnicode_Ready((PyObject *)(op))) + #define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_LENGTH(u) + #define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i) + #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) PyUnicode_MAX_CHAR_VALUE(u) + #define __Pyx_PyUnicode_KIND(u) PyUnicode_KIND(u) + #define __Pyx_PyUnicode_DATA(u) PyUnicode_DATA(u) + #define __Pyx_PyUnicode_READ(k, d, i) PyUnicode_READ(k, d, i) + #define __Pyx_PyUnicode_WRITE(k, d, i, ch) PyUnicode_WRITE(k, d, i, ch) + #define __Pyx_PyUnicode_IS_TRUE(u) (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u))) +#else + #define CYTHON_PEP393_ENABLED 0 + #define PyUnicode_1BYTE_KIND 1 + #define PyUnicode_2BYTE_KIND 2 + #define PyUnicode_4BYTE_KIND 4 + #define __Pyx_PyUnicode_READY(op) (0) + #define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_SIZE(u) + #define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i])) + #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) ((sizeof(Py_UNICODE) == 2) ? 65535 : 1114111) + #define __Pyx_PyUnicode_KIND(u) (sizeof(Py_UNICODE)) + #define __Pyx_PyUnicode_DATA(u) ((void*)PyUnicode_AS_UNICODE(u)) + #define __Pyx_PyUnicode_READ(k, d, i) ((void)(k), (Py_UCS4)(((Py_UNICODE*)d)[i])) + #define __Pyx_PyUnicode_WRITE(k, d, i, ch) (((void)(k)), ((Py_UNICODE*)d)[i] = ch) + #define __Pyx_PyUnicode_IS_TRUE(u) (0 != PyUnicode_GET_SIZE(u)) +#endif +#if CYTHON_COMPILING_IN_PYPY + #define __Pyx_PyUnicode_Concat(a, b) PyNumber_Add(a, b) + #define __Pyx_PyUnicode_ConcatSafe(a, b) PyNumber_Add(a, b) +#else + #define __Pyx_PyUnicode_Concat(a, b) PyUnicode_Concat(a, b) + #define __Pyx_PyUnicode_ConcatSafe(a, b) ((unlikely((a) == Py_None) || unlikely((b) == Py_None)) ?\ + PyNumber_Add(a, b) : __Pyx_PyUnicode_Concat(a, b)) +#endif +#if CYTHON_COMPILING_IN_PYPY && !defined(PyUnicode_Contains) + #define PyUnicode_Contains(u, s) PySequence_Contains(u, s) +#endif +#if CYTHON_COMPILING_IN_PYPY && !defined(PyByteArray_Check) + #define PyByteArray_Check(obj) PyObject_TypeCheck(obj, &PyByteArray_Type) +#endif +#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Format) + #define PyObject_Format(obj, fmt) PyObject_CallMethod(obj, "__format__", "O", fmt) +#endif +#define __Pyx_PyString_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyString_Check(b) && !PyString_CheckExact(b)))) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b)) +#define __Pyx_PyUnicode_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyUnicode_Check(b) && !PyUnicode_CheckExact(b)))) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b)) +#if PY_MAJOR_VERSION >= 3 + #define __Pyx_PyString_Format(a, b) PyUnicode_Format(a, b) +#else + #define __Pyx_PyString_Format(a, b) PyString_Format(a, b) +#endif +#if PY_MAJOR_VERSION < 3 && !defined(PyObject_ASCII) + #define PyObject_ASCII(o) PyObject_Repr(o) +#endif +#if PY_MAJOR_VERSION >= 3 + #define PyBaseString_Type PyUnicode_Type + #define PyStringObject PyUnicodeObject + #define PyString_Type PyUnicode_Type + #define PyString_Check PyUnicode_Check + #define PyString_CheckExact PyUnicode_CheckExact + #define PyObject_Unicode PyObject_Str +#endif +#if PY_MAJOR_VERSION >= 3 + #define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj) + #define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj) +#else + #define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj)) + #define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj)) +#endif +#ifndef PySet_CheckExact + #define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type) +#endif +#if CYTHON_ASSUME_SAFE_MACROS + #define __Pyx_PySequence_SIZE(seq) Py_SIZE(seq) +#else + #define __Pyx_PySequence_SIZE(seq) PySequence_Size(seq) +#endif +#if PY_MAJOR_VERSION >= 3 + #define PyIntObject PyLongObject + #define PyInt_Type PyLong_Type + #define PyInt_Check(op) PyLong_Check(op) + #define PyInt_CheckExact(op) PyLong_CheckExact(op) + #define PyInt_FromString PyLong_FromString + #define PyInt_FromUnicode PyLong_FromUnicode + #define PyInt_FromLong PyLong_FromLong + #define PyInt_FromSize_t PyLong_FromSize_t + #define PyInt_FromSsize_t PyLong_FromSsize_t + #define PyInt_AsLong PyLong_AsLong + #define PyInt_AS_LONG PyLong_AS_LONG + #define PyInt_AsSsize_t PyLong_AsSsize_t + #define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask + #define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask + #define PyNumber_Int PyNumber_Long +#endif +#if PY_MAJOR_VERSION >= 3 + #define PyBoolObject PyLongObject +#endif +#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY + #ifndef PyUnicode_InternFromString + #define PyUnicode_InternFromString(s) PyUnicode_FromString(s) + #endif +#endif +#if PY_VERSION_HEX < 0x030200A4 + typedef long Py_hash_t; + #define __Pyx_PyInt_FromHash_t PyInt_FromLong + #define __Pyx_PyInt_AsHash_t PyInt_AsLong +#else + #define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t + #define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t +#endif +#if PY_MAJOR_VERSION >= 3 + #define __Pyx_PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : (Py_INCREF(func), func)) +#else + #define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass) +#endif +#if CYTHON_USE_ASYNC_SLOTS + #if PY_VERSION_HEX >= 0x030500B1 + #define __Pyx_PyAsyncMethodsStruct PyAsyncMethods + #define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async) + #else + #define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved)) + #endif +#else + #define __Pyx_PyType_AsAsync(obj) NULL +#endif +#ifndef __Pyx_PyAsyncMethodsStruct + typedef struct { + unaryfunc am_await; + unaryfunc am_aiter; + unaryfunc am_anext; + } __Pyx_PyAsyncMethodsStruct; +#endif + +#if defined(WIN32) || defined(MS_WINDOWS) + #define _USE_MATH_DEFINES +#endif +#include +#ifdef NAN +#define __PYX_NAN() ((float) NAN) +#else +static CYTHON_INLINE float __PYX_NAN() { + float value; + memset(&value, 0xFF, sizeof(value)); + return value; +} +#endif +#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL) +#define __Pyx_truncl trunc +#else +#define __Pyx_truncl truncl +#endif + + +#define __PYX_ERR(f_index, lineno, Ln_error) \ +{ \ + __pyx_filename = __pyx_f[f_index]; __pyx_lineno = lineno; __pyx_clineno = __LINE__; goto Ln_error; \ +} + +#ifndef __PYX_EXTERN_C + #ifdef __cplusplus + #define __PYX_EXTERN_C extern "C" + #else + #define __PYX_EXTERN_C extern + #endif +#endif + +#define __PYX_HAVE__metrics +#define __PYX_HAVE_API__metrics +/* Early includes */ +#ifdef _OPENMP +#include +#endif /* _OPENMP */ + +#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS) +#define CYTHON_WITHOUT_ASSERTIONS +#endif + +typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding; + const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry; + +#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0 +#define __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 0 +#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT (PY_MAJOR_VERSION >= 3 && __PYX_DEFAULT_STRING_ENCODING_IS_UTF8) +#define __PYX_DEFAULT_STRING_ENCODING "" +#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString +#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize +#define __Pyx_uchar_cast(c) ((unsigned char)c) +#define __Pyx_long_cast(x) ((long)x) +#define __Pyx_fits_Py_ssize_t(v, type, is_signed) (\ + (sizeof(type) < sizeof(Py_ssize_t)) ||\ + (sizeof(type) > sizeof(Py_ssize_t) &&\ + likely(v < (type)PY_SSIZE_T_MAX ||\ + v == (type)PY_SSIZE_T_MAX) &&\ + (!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\ + v == (type)PY_SSIZE_T_MIN))) ||\ + (sizeof(type) == sizeof(Py_ssize_t) &&\ + (is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\ + v == (type)PY_SSIZE_T_MAX))) ) +static CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) { + return (size_t) i < (size_t) limit; +} +#if defined (__cplusplus) && __cplusplus >= 201103L + #include + #define __Pyx_sst_abs(value) std::abs(value) +#elif SIZEOF_INT >= SIZEOF_SIZE_T + #define __Pyx_sst_abs(value) abs(value) +#elif SIZEOF_LONG >= SIZEOF_SIZE_T + #define __Pyx_sst_abs(value) labs(value) +#elif defined (_MSC_VER) + #define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value)) +#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L + #define __Pyx_sst_abs(value) llabs(value) +#elif defined (__GNUC__) + #define __Pyx_sst_abs(value) __builtin_llabs(value) +#else + #define __Pyx_sst_abs(value) ((value<0) ? -value : value) +#endif +static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*); +static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length); +#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s)) +#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l) +#define __Pyx_PyBytes_FromString PyBytes_FromString +#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize +static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*); +#if PY_MAJOR_VERSION < 3 + #define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString + #define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize +#else + #define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString + #define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize +#endif +#define __Pyx_PyBytes_AsWritableString(s) ((char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyBytes_AsWritableSString(s) ((signed char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyBytes_AsWritableUString(s) ((unsigned char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyBytes_AsString(s) ((const char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyBytes_AsSString(s) ((const signed char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyBytes_AsUString(s) ((const unsigned char*) PyBytes_AS_STRING(s)) +#define __Pyx_PyObject_AsWritableString(s) ((char*) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_AsWritableSString(s) ((signed char*) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_AsWritableUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_AsSString(s) ((const signed char*) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_AsUString(s) ((const unsigned char*) __Pyx_PyObject_AsString(s)) +#define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s) +#define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s) +#define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s) +#define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s) +#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s) +static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) { + const Py_UNICODE *u_end = u; + while (*u_end++) ; + return (size_t)(u_end - u - 1); +} +#define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u)) +#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode +#define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode +#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj) +#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None) +static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b); +static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*); +static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*); +static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x); +#define __Pyx_PySequence_Tuple(obj)\ + (likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj)) +static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*); +static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t); +#if CYTHON_ASSUME_SAFE_MACROS +#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x)) +#else +#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x) +#endif +#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x)) +#if PY_MAJOR_VERSION >= 3 +#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x)) +#else +#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x)) +#endif +#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x)) +#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII +static int __Pyx_sys_getdefaultencoding_not_ascii; +static int __Pyx_init_sys_getdefaultencoding_params(void) { + PyObject* sys; + PyObject* default_encoding = NULL; + PyObject* ascii_chars_u = NULL; + PyObject* ascii_chars_b = NULL; + const char* default_encoding_c; + sys = PyImport_ImportModule("sys"); + if (!sys) goto bad; + default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL); + Py_DECREF(sys); + if (!default_encoding) goto bad; + default_encoding_c = PyBytes_AsString(default_encoding); + if (!default_encoding_c) goto bad; + if (strcmp(default_encoding_c, "ascii") == 0) { + __Pyx_sys_getdefaultencoding_not_ascii = 0; + } else { + char ascii_chars[128]; + int c; + for (c = 0; c < 128; c++) { + ascii_chars[c] = c; + } + __Pyx_sys_getdefaultencoding_not_ascii = 1; + ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL); + if (!ascii_chars_u) goto bad; + ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL); + if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) { + PyErr_Format( + PyExc_ValueError, + "This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.", + default_encoding_c); + goto bad; + } + Py_DECREF(ascii_chars_u); + Py_DECREF(ascii_chars_b); + } + Py_DECREF(default_encoding); + return 0; +bad: + Py_XDECREF(default_encoding); + Py_XDECREF(ascii_chars_u); + Py_XDECREF(ascii_chars_b); + return -1; +} +#endif +#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3 +#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL) +#else +#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL) +#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT +static char* __PYX_DEFAULT_STRING_ENCODING; +static int __Pyx_init_sys_getdefaultencoding_params(void) { + PyObject* sys; + PyObject* default_encoding = NULL; + char* default_encoding_c; + sys = PyImport_ImportModule("sys"); + if (!sys) goto bad; + default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL); + Py_DECREF(sys); + if (!default_encoding) goto bad; + default_encoding_c = PyBytes_AsString(default_encoding); + if (!default_encoding_c) goto bad; + __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c) + 1); + if (!__PYX_DEFAULT_STRING_ENCODING) goto bad; + strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c); + Py_DECREF(default_encoding); + return 0; +bad: + Py_XDECREF(default_encoding); + return -1; +} +#endif +#endif + + +/* Test for GCC > 2.95 */ +#if defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))) + #define likely(x) __builtin_expect(!!(x), 1) + #define unlikely(x) __builtin_expect(!!(x), 0) +#else /* !__GNUC__ or GCC < 2.95 */ + #define likely(x) (x) + #define unlikely(x) (x) +#endif /* __GNUC__ */ +static CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; } + +static PyObject *__pyx_m = NULL; +static PyObject *__pyx_d; +static PyObject *__pyx_b; +static PyObject *__pyx_cython_runtime = NULL; +static PyObject *__pyx_empty_tuple; +static PyObject *__pyx_empty_bytes; +static PyObject *__pyx_empty_unicode; +static int __pyx_lineno; +static int __pyx_clineno = 0; +static const char * __pyx_cfilenm= __FILE__; +static const char *__pyx_filename; + + +static const char *__pyx_f[] = { + "metrics.pyx", +}; 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r = NULL; __Pyx_DECREF(tmp);}} while(0) + +/* PyObjectGetAttrStr.proto */ +#if CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name); +#else +#define __Pyx_PyObject_GetAttrStr(o,n) PyObject_GetAttr(o,n) +#endif + +/* GetBuiltinName.proto */ +static PyObject *__Pyx_GetBuiltinName(PyObject *name); + +/* PyDictVersioning.proto */ +#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS +#define __PYX_DICT_VERSION_INIT ((PY_UINT64_T) -1) +#define __PYX_GET_DICT_VERSION(dict) (((PyDictObject*)(dict))->ma_version_tag) +#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)\ + (version_var) = __PYX_GET_DICT_VERSION(dict);\ + (cache_var) = (value); +#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) {\ + static PY_UINT64_T __pyx_dict_version = 0;\ + static PyObject *__pyx_dict_cached_value = NULL;\ + if (likely(__PYX_GET_DICT_VERSION(DICT) == __pyx_dict_version)) {\ + (VAR) = __pyx_dict_cached_value;\ + } else {\ + (VAR) = __pyx_dict_cached_value = (LOOKUP);\ + __pyx_dict_version = __PYX_GET_DICT_VERSION(DICT);\ + }\ +} +static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj); 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+#else +#define __Pyx_PyCFunction_FastCall(func, args, nargs) (assert(0), NULL) +#endif + +/* PyObjectCall.proto */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw); +#else +#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw) +#endif + +/* GetItemInt.proto */ +#define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ + (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ + __Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck) :\ + (is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\ + __Pyx_GetItemInt_Generic(o, to_py_func(i)))) +#define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ + (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ + __Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\ + (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL)) +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, + int wraparound, int boundscheck); +#define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\ + (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ + __Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\ + (PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL)) +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, + int wraparound, int boundscheck); +static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j); +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, + int is_list, int wraparound, int boundscheck); + +/* RaiseArgTupleInvalid.proto */ +static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact, + Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found); + +/* RaiseDoubleKeywords.proto */ +static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name); + +/* ParseKeywords.proto */ +static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[],\ + PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args,\ + const char* function_name); + +/* ArgTypeTest.proto */ +#define __Pyx_ArgTypeTest(obj, type, none_allowed, name, exact)\ + ((likely((Py_TYPE(obj) == type) | (none_allowed && (obj == Py_None)))) ? 1 :\ + __Pyx__ArgTypeTest(obj, type, name, exact)) +static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact); + +/* Import.proto */ +static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level); + +/* PyThreadStateGet.proto */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_PyThreadState_declare PyThreadState *__pyx_tstate; +#define __Pyx_PyThreadState_assign __pyx_tstate = __Pyx_PyThreadState_Current; +#define __Pyx_PyErr_Occurred() __pyx_tstate->curexc_type +#else +#define __Pyx_PyThreadState_declare +#define __Pyx_PyThreadState_assign +#define __Pyx_PyErr_Occurred() PyErr_Occurred() +#endif + +/* PyErrFetchRestore.proto */ +#if CYTHON_FAST_THREAD_STATE +#define __Pyx_PyErr_Clear() __Pyx_ErrRestore(NULL, NULL, NULL) +#define __Pyx_ErrRestoreWithState(type, value, tb) __Pyx_ErrRestoreInState(PyThreadState_GET(), type, value, tb) +#define __Pyx_ErrFetchWithState(type, value, tb) __Pyx_ErrFetchInState(PyThreadState_GET(), type, value, tb) +#define __Pyx_ErrRestore(type, value, tb) __Pyx_ErrRestoreInState(__pyx_tstate, type, value, tb) +#define __Pyx_ErrFetch(type, value, tb) __Pyx_ErrFetchInState(__pyx_tstate, type, value, tb) +static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb); +static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); +#if CYTHON_COMPILING_IN_CPYTHON +#define __Pyx_PyErr_SetNone(exc) (Py_INCREF(exc), __Pyx_ErrRestore((exc), NULL, NULL)) +#else +#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc) +#endif +#else +#define __Pyx_PyErr_Clear() PyErr_Clear() +#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc) +#define __Pyx_ErrRestoreWithState(type, value, tb) PyErr_Restore(type, value, tb) +#define __Pyx_ErrFetchWithState(type, value, tb) PyErr_Fetch(type, value, tb) +#define __Pyx_ErrRestoreInState(tstate, type, value, tb) PyErr_Restore(type, value, tb) +#define __Pyx_ErrFetchInState(tstate, type, value, tb) PyErr_Fetch(type, value, tb) +#define __Pyx_ErrRestore(type, value, tb) PyErr_Restore(type, value, tb) +#define __Pyx_ErrFetch(type, value, tb) PyErr_Fetch(type, value, tb) +#endif + +/* CLineInTraceback.proto */ +#ifdef CYTHON_CLINE_IN_TRACEBACK +#define __Pyx_CLineForTraceback(tstate, c_line) (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0) +#else +static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line); +#endif + +/* CodeObjectCache.proto */ +typedef struct { + PyCodeObject* code_object; + int code_line; +} __Pyx_CodeObjectCacheEntry; +struct __Pyx_CodeObjectCache { + int count; + int max_count; + __Pyx_CodeObjectCacheEntry* entries; +}; +static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL}; +static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line); +static PyCodeObject *__pyx_find_code_object(int code_line); +static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object); + +/* AddTraceback.proto */ +static void __Pyx_AddTraceback(const char *funcname, int c_line, + int py_line, const char *filename); + +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value); + +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value); + +/* CIntFromPy.proto */ +static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *); + +/* CIntFromPy.proto */ +static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *); + +/* FastTypeChecks.proto */ +#if CYTHON_COMPILING_IN_CPYTHON +#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type) +static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b); +static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type); +static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2); +#else +#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type) +#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type) +#define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2)) +#endif +#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception) + +/* CheckBinaryVersion.proto */ +static int __Pyx_check_binary_version(void); + +/* InitStrings.proto */ +static int __Pyx_InitStrings(__Pyx_StringTabEntry *t); + + +/* Module declarations from 'metrics' */ +static PyObject *__pyx_f_7metrics_rsq(PyObject *, PyObject *, int __pyx_skip_dispatch); /*proto*/ +static PyObject *__pyx_f_7metrics_mse(PyObject *, PyObject *, int __pyx_skip_dispatch); /*proto*/ +static PyObject *__pyx_f_7metrics_rmse(PyObject *, PyObject *, int __pyx_skip_dispatch); /*proto*/ +static PyObject *__pyx_f_7metrics_mae(PyObject *, PyObject *, int __pyx_skip_dispatch); /*proto*/ +static PyObject *__pyx_f_7metrics_mape(PyObject *, PyObject *, int __pyx_skip_dispatch); /*proto*/ +#define __Pyx_MODULE_NAME "metrics" +extern int __pyx_module_is_main_metrics; +int __pyx_module_is_main_metrics = 0; + +/* Implementation of 'metrics' */ +static PyObject *__pyx_builtin_range; +static const char __pyx_k_y[] = "y"; +static const char __pyx_k_np[] = "_np"; +static const char __pyx_k_main[] = "__main__"; +static const char __pyx_k_name[] = "__name__"; +static const char __pyx_k_test[] = "__test__"; +static const char __pyx_k_numpy[] = "numpy"; +static const char __pyx_k_range[] = "range"; +static const char __pyx_k_round[] = "round"; +static const char __pyx_k_y_hat[] = "y_hat"; +static const char __pyx_k_import[] = "__import__"; +static const char __pyx_k_corrcoef[] = "corrcoef"; +static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback"; +static const char __pyx_k_Common_metrics_required_in_mach[] = "\nCommon metrics required in machine learning modules.\n\nAvailable functions:\n - ``rsq``: R-Squared\n - ``mse``: Mean squared error\n - ``rmse``: Root mean squared error\n - ``mae``: Mean absolute error\n - ``mape``: Mean absolute percentage error\n\nAuthor\n------\n::\n\n Author: Diptesh Basak\n Date: Sep 10, 2021\n"; +static PyObject *__pyx_n_s_cline_in_traceback; +static PyObject *__pyx_n_s_corrcoef; +static PyObject *__pyx_n_s_import; +static PyObject *__pyx_n_s_main; +static PyObject *__pyx_n_s_name; +static PyObject *__pyx_n_s_np; +static PyObject *__pyx_n_s_numpy; +static PyObject *__pyx_n_s_range; +static PyObject *__pyx_n_s_round; 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*/ + PyEval_InitThreads(); + #endif + #endif + /*--- Module creation code ---*/ + #if CYTHON_PEP489_MULTI_PHASE_INIT + __pyx_m = __pyx_pyinit_module; + Py_INCREF(__pyx_m); + #else + #if PY_MAJOR_VERSION < 3 + __pyx_m = Py_InitModule4("metrics", __pyx_methods, __pyx_k_Common_metrics_required_in_mach, 0, PYTHON_API_VERSION); Py_XINCREF(__pyx_m); + #else + __pyx_m = PyModule_Create(&__pyx_moduledef); + #endif + if (unlikely(!__pyx_m)) __PYX_ERR(0, 1, __pyx_L1_error) + #endif + __pyx_d = PyModule_GetDict(__pyx_m); if (unlikely(!__pyx_d)) __PYX_ERR(0, 1, __pyx_L1_error) + Py_INCREF(__pyx_d); + __pyx_b = PyImport_AddModule(__Pyx_BUILTIN_MODULE_NAME); if (unlikely(!__pyx_b)) __PYX_ERR(0, 1, __pyx_L1_error) + Py_INCREF(__pyx_b); + __pyx_cython_runtime = PyImport_AddModule((char *) "cython_runtime"); if (unlikely(!__pyx_cython_runtime)) __PYX_ERR(0, 1, __pyx_L1_error) + Py_INCREF(__pyx_cython_runtime); + if (PyObject_SetAttrString(__pyx_m, "__builtins__", __pyx_b) < 0) __PYX_ERR(0, 1, __pyx_L1_error); + /*--- Initialize various global constants etc. ---*/ + if (__Pyx_InitGlobals() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #if PY_MAJOR_VERSION < 3 && (__PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT) + if (__Pyx_init_sys_getdefaultencoding_params() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #endif + if (__pyx_module_is_main_metrics) { + if (PyObject_SetAttr(__pyx_m, __pyx_n_s_name, __pyx_n_s_main) < 0) __PYX_ERR(0, 1, __pyx_L1_error) + } + #if PY_MAJOR_VERSION >= 3 + { + PyObject *modules = PyImport_GetModuleDict(); if (unlikely(!modules)) __PYX_ERR(0, 1, __pyx_L1_error) + if (!PyDict_GetItemString(modules, "metrics")) { + if (unlikely(PyDict_SetItemString(modules, "metrics", __pyx_m) < 0)) __PYX_ERR(0, 1, __pyx_L1_error) + } + } + #endif + /*--- Builtin init code ---*/ + if (__Pyx_InitCachedBuiltins() < 0) goto __pyx_L1_error; + /*--- Constants init code ---*/ + if (__Pyx_InitCachedConstants() < 0) goto __pyx_L1_error; + /*--- Global type/function init code ---*/ + (void)__Pyx_modinit_global_init_code(); + (void)__Pyx_modinit_variable_export_code(); + (void)__Pyx_modinit_function_export_code(); + (void)__Pyx_modinit_type_init_code(); + (void)__Pyx_modinit_type_import_code(); + (void)__Pyx_modinit_variable_import_code(); + (void)__Pyx_modinit_function_import_code(); + /*--- Execution code ---*/ + #if defined(__Pyx_Generator_USED) || defined(__Pyx_Coroutine_USED) + if (__Pyx_patch_abc() < 0) __PYX_ERR(0, 1, __pyx_L1_error) + #endif + + /* "metrics.pyx":19 + * """ + * + * import numpy as _np # <<<<<<<<<<<<<< + * + * # ============================================================================= + */ + __pyx_t_1 = __Pyx_Import(__pyx_n_s_numpy, 0, -1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 19, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_np, __pyx_t_1) < 0) __PYX_ERR(0, 19, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /* "metrics.pyx":1 + * """ # <<<<<<<<<<<<<< + * Common metrics required in machine learning modules. + * + */ + __pyx_t_1 = __Pyx_PyDict_NewPresized(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + if (PyDict_SetItem(__pyx_d, __pyx_n_s_test, __pyx_t_1) < 0) __PYX_ERR(0, 1, __pyx_L1_error) + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + + /*--- Wrapped vars code ---*/ + + goto __pyx_L0; + __pyx_L1_error:; + __Pyx_XDECREF(__pyx_t_1); + if (__pyx_m) { + if (__pyx_d) { + __Pyx_AddTraceback("init metrics", __pyx_clineno, __pyx_lineno, __pyx_filename); + } + Py_CLEAR(__pyx_m); + } else if (!PyErr_Occurred()) { + PyErr_SetString(PyExc_ImportError, "init metrics"); + } + __pyx_L0:; + __Pyx_RefNannyFinishContext(); + #if CYTHON_PEP489_MULTI_PHASE_INIT + return (__pyx_m != NULL) ? 0 : -1; + #elif PY_MAJOR_VERSION >= 3 + return __pyx_m; + #else + return; + #endif +} + +/* --- Runtime support code --- */ +/* Refnanny */ +#if CYTHON_REFNANNY +static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) { + PyObject *m = NULL, *p = NULL; + void *r = NULL; + m = PyImport_ImportModule(modname); + if (!m) goto end; + p = PyObject_GetAttrString(m, "RefNannyAPI"); + if (!p) goto end; + r = PyLong_AsVoidPtr(p); +end: + Py_XDECREF(p); + Py_XDECREF(m); + return (__Pyx_RefNannyAPIStruct *)r; +} +#endif + +/* PyObjectGetAttrStr */ +#if CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name) { + PyTypeObject* tp = Py_TYPE(obj); + if (likely(tp->tp_getattro)) + return tp->tp_getattro(obj, attr_name); +#if PY_MAJOR_VERSION < 3 + if (likely(tp->tp_getattr)) + return tp->tp_getattr(obj, PyString_AS_STRING(attr_name)); +#endif + return PyObject_GetAttr(obj, attr_name); +} +#endif + +/* GetBuiltinName */ +static PyObject *__Pyx_GetBuiltinName(PyObject *name) { + PyObject* result = __Pyx_PyObject_GetAttrStr(__pyx_b, name); + if (unlikely(!result)) { + PyErr_Format(PyExc_NameError, +#if PY_MAJOR_VERSION >= 3 + "name '%U' is not defined", name); +#else + "name '%.200s' is not defined", PyString_AS_STRING(name)); +#endif + } + return result; +} + +/* PyDictVersioning */ +#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) { + PyObject *dict = Py_TYPE(obj)->tp_dict; + return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0; +} +static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) { + PyObject **dictptr = NULL; + Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset; + if (offset) { +#if CYTHON_COMPILING_IN_CPYTHON + dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj); +#else + dictptr = _PyObject_GetDictPtr(obj); +#endif + } + return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0; +} +static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) { + PyObject *dict = Py_TYPE(obj)->tp_dict; + if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict))) + return 0; + return obj_dict_version == __Pyx_get_object_dict_version(obj); +} +#endif + +/* GetModuleGlobalName */ +#if CYTHON_USE_DICT_VERSIONS +static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value) +#else +static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name) +#endif +{ + PyObject *result; +#if !CYTHON_AVOID_BORROWED_REFS +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 + result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash); + __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) + if (likely(result)) { + return __Pyx_NewRef(result); + } else if (unlikely(PyErr_Occurred())) { + return NULL; + } +#else + result = PyDict_GetItem(__pyx_d, name); + __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) + if (likely(result)) { + return __Pyx_NewRef(result); + } +#endif +#else + result = PyObject_GetItem(__pyx_d, name); + __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) + if (likely(result)) { + return __Pyx_NewRef(result); + } + PyErr_Clear(); +#endif + return __Pyx_GetBuiltinName(name); +} + +/* PyFunctionFastCall */ +#if CYTHON_FAST_PYCALL +static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na, + PyObject *globals) { + PyFrameObject *f; + PyThreadState *tstate = __Pyx_PyThreadState_Current; + PyObject **fastlocals; + Py_ssize_t i; + PyObject *result; + assert(globals != NULL); + /* XXX Perhaps we should create a specialized + PyFrame_New() that doesn't take locals, but does + take builtins without sanity checking them. + */ + assert(tstate != NULL); + f = PyFrame_New(tstate, co, globals, NULL); + if (f == NULL) { + return NULL; + } + fastlocals = __Pyx_PyFrame_GetLocalsplus(f); + for (i = 0; i < na; i++) { + Py_INCREF(*args); + fastlocals[i] = *args++; + } + result = PyEval_EvalFrameEx(f,0); + ++tstate->recursion_depth; + Py_DECREF(f); + --tstate->recursion_depth; + return result; +} +#if 1 || PY_VERSION_HEX < 0x030600B1 +static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs) { + PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func); + PyObject *globals = PyFunction_GET_GLOBALS(func); + PyObject *argdefs = PyFunction_GET_DEFAULTS(func); + PyObject *closure; +#if PY_MAJOR_VERSION >= 3 + PyObject *kwdefs; +#endif + PyObject *kwtuple, **k; + PyObject **d; + Py_ssize_t nd; + Py_ssize_t nk; + PyObject *result; + assert(kwargs == NULL || PyDict_Check(kwargs)); + nk = kwargs ? PyDict_Size(kwargs) : 0; + if (Py_EnterRecursiveCall((char*)" while calling a Python object")) { + return NULL; + } + if ( +#if PY_MAJOR_VERSION >= 3 + co->co_kwonlyargcount == 0 && +#endif + likely(kwargs == NULL || nk == 0) && + co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) { + if (argdefs == NULL && co->co_argcount == nargs) { + result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals); + goto done; + } + else if (nargs == 0 && argdefs != NULL + && co->co_argcount == Py_SIZE(argdefs)) { + /* function called with no arguments, but all parameters have + a default value: use default values as arguments .*/ + args = &PyTuple_GET_ITEM(argdefs, 0); + result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals); + goto done; + } + } + if (kwargs != NULL) { + Py_ssize_t pos, i; + kwtuple = PyTuple_New(2 * nk); + if (kwtuple == NULL) { + result = NULL; + goto done; + } + k = &PyTuple_GET_ITEM(kwtuple, 0); + pos = i = 0; + while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) { + Py_INCREF(k[i]); + Py_INCREF(k[i+1]); + i += 2; + } + nk = i / 2; + } + else { + kwtuple = NULL; + k = NULL; + } + closure = PyFunction_GET_CLOSURE(func); +#if PY_MAJOR_VERSION >= 3 + kwdefs = PyFunction_GET_KW_DEFAULTS(func); +#endif + if (argdefs != NULL) { + d = &PyTuple_GET_ITEM(argdefs, 0); + nd = Py_SIZE(argdefs); + } + else { + d = NULL; + nd = 0; + } +#if PY_MAJOR_VERSION >= 3 + result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL, + args, (int)nargs, + k, (int)nk, + d, (int)nd, kwdefs, closure); +#else + result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL, + args, (int)nargs, + k, (int)nk, + d, (int)nd, closure); +#endif + Py_XDECREF(kwtuple); +done: + Py_LeaveRecursiveCall(); + return result; +} +#endif +#endif + +/* PyCFunctionFastCall */ +#if CYTHON_FAST_PYCCALL +static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) { + PyCFunctionObject *func = (PyCFunctionObject*)func_obj; + PyCFunction meth = PyCFunction_GET_FUNCTION(func); + PyObject *self = PyCFunction_GET_SELF(func); + int flags = PyCFunction_GET_FLAGS(func); + assert(PyCFunction_Check(func)); + assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS))); + assert(nargs >= 0); + assert(nargs == 0 || args != NULL); + /* _PyCFunction_FastCallDict() must not be called with an exception set, + because it may clear it (directly or indirectly) and so the + caller loses its exception */ + assert(!PyErr_Occurred()); + if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) { + return (*((__Pyx_PyCFunctionFastWithKeywords)(void*)meth)) (self, args, nargs, NULL); + } else { + return (*((__Pyx_PyCFunctionFast)(void*)meth)) (self, args, nargs); + } +} +#endif + +/* PyObjectCall */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) { + PyObject *result; + ternaryfunc call = func->ob_type->tp_call; + if (unlikely(!call)) + return PyObject_Call(func, arg, kw); + if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) + return NULL; + result = (*call)(func, arg, kw); + Py_LeaveRecursiveCall(); + if (unlikely(!result) && unlikely(!PyErr_Occurred())) { + PyErr_SetString( + PyExc_SystemError, + "NULL result without error in PyObject_Call"); + } + return result; +} +#endif + +/* GetItemInt */ +static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) { + PyObject *r; + if (!j) return NULL; + r = PyObject_GetItem(o, j); + Py_DECREF(j); + return r; +} +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, + CYTHON_NCP_UNUSED int wraparound, + CYTHON_NCP_UNUSED int boundscheck) { +#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + Py_ssize_t wrapped_i = i; + if (wraparound & unlikely(i < 0)) { + wrapped_i += PyList_GET_SIZE(o); + } + if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) { + PyObject *r = PyList_GET_ITEM(o, wrapped_i); + Py_INCREF(r); + return r; + } + return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); +#else + return PySequence_GetItem(o, i); +#endif +} +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, + CYTHON_NCP_UNUSED int wraparound, + CYTHON_NCP_UNUSED int boundscheck) { +#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS + Py_ssize_t wrapped_i = i; + if (wraparound & unlikely(i < 0)) { + wrapped_i += PyTuple_GET_SIZE(o); + } + if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) { + PyObject *r = PyTuple_GET_ITEM(o, wrapped_i); + Py_INCREF(r); + return r; + } + return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); +#else + return PySequence_GetItem(o, i); +#endif +} +static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, + CYTHON_NCP_UNUSED int wraparound, + CYTHON_NCP_UNUSED int boundscheck) { +#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS + if (is_list || PyList_CheckExact(o)) { + Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o); + if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) { + PyObject *r = PyList_GET_ITEM(o, n); + Py_INCREF(r); + return r; + } + } + else if (PyTuple_CheckExact(o)) { + Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o); + if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) { + PyObject *r = PyTuple_GET_ITEM(o, n); + Py_INCREF(r); + return r; + } + } else { + PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence; + if (likely(m && m->sq_item)) { + if (wraparound && unlikely(i < 0) && likely(m->sq_length)) { + Py_ssize_t l = m->sq_length(o); + if (likely(l >= 0)) { + i += l; + } else { + if (!PyErr_ExceptionMatches(PyExc_OverflowError)) + return NULL; + PyErr_Clear(); + } + } + return m->sq_item(o, i); + } + } +#else + if (is_list || PySequence_Check(o)) { + return PySequence_GetItem(o, i); + } +#endif + return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); +} + +/* RaiseArgTupleInvalid */ +static void __Pyx_RaiseArgtupleInvalid( + const char* func_name, + int exact, + Py_ssize_t num_min, + Py_ssize_t num_max, + Py_ssize_t num_found) +{ + Py_ssize_t num_expected; + const char *more_or_less; + if (num_found < num_min) { + num_expected = num_min; + more_or_less = "at least"; + } else { + num_expected = num_max; + more_or_less = "at most"; + } + if (exact) { + more_or_less = "exactly"; + } + PyErr_Format(PyExc_TypeError, + "%.200s() takes %.8s %" CYTHON_FORMAT_SSIZE_T "d positional argument%.1s (%" CYTHON_FORMAT_SSIZE_T "d given)", + func_name, more_or_less, num_expected, + (num_expected == 1) ? "" : "s", num_found); +} + +/* RaiseDoubleKeywords */ +static void __Pyx_RaiseDoubleKeywordsError( + const char* func_name, + PyObject* kw_name) +{ + PyErr_Format(PyExc_TypeError, + #if PY_MAJOR_VERSION >= 3 + "%s() got multiple values for keyword argument '%U'", func_name, kw_name); + #else + "%s() got multiple values for keyword argument '%s'", func_name, + PyString_AsString(kw_name)); + #endif +} + +/* ParseKeywords */ +static int __Pyx_ParseOptionalKeywords( + PyObject *kwds, + PyObject **argnames[], + PyObject *kwds2, + PyObject *values[], + Py_ssize_t num_pos_args, + const char* function_name) +{ + PyObject *key = 0, *value = 0; + Py_ssize_t pos = 0; + PyObject*** name; + PyObject*** first_kw_arg = argnames + num_pos_args; + while (PyDict_Next(kwds, &pos, &key, &value)) { + name = first_kw_arg; + while (*name && (**name != key)) name++; + if (*name) { + values[name-argnames] = value; + continue; + } + name = first_kw_arg; + #if PY_MAJOR_VERSION < 3 + if (likely(PyString_CheckExact(key)) || likely(PyString_Check(key))) { + while (*name) { + if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key)) + && _PyString_Eq(**name, key)) { + values[name-argnames] = value; + break; + } + name++; + } + if (*name) continue; + else { + PyObject*** argname = argnames; + while (argname != first_kw_arg) { + if ((**argname == key) || ( + (CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key)) + && _PyString_Eq(**argname, key))) { + goto arg_passed_twice; + } + argname++; + } + } + } else + #endif + if (likely(PyUnicode_Check(key))) { + while (*name) { + int cmp = (**name == key) ? 0 : + #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 + (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 : + #endif + PyUnicode_Compare(**name, key); + if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; + if (cmp == 0) { + values[name-argnames] = value; + break; + } + name++; + } + if (*name) continue; + else { + PyObject*** argname = argnames; + while (argname != first_kw_arg) { + int cmp = (**argname == key) ? 0 : + #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 + (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 : + #endif + PyUnicode_Compare(**argname, key); + if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; + if (cmp == 0) goto arg_passed_twice; + argname++; + } + } + } else + goto invalid_keyword_type; + if (kwds2) { + if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad; + } else { + goto invalid_keyword; + } + } + return 0; +arg_passed_twice: + __Pyx_RaiseDoubleKeywordsError(function_name, key); + goto bad; +invalid_keyword_type: + PyErr_Format(PyExc_TypeError, + "%.200s() keywords must be strings", function_name); + goto bad; +invalid_keyword: + PyErr_Format(PyExc_TypeError, + #if PY_MAJOR_VERSION < 3 + "%.200s() got an unexpected keyword argument '%.200s'", + function_name, PyString_AsString(key)); + #else + "%s() got an unexpected keyword argument '%U'", + function_name, key); + #endif +bad: + return -1; +} + +/* ArgTypeTest */ +static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact) +{ + if (unlikely(!type)) { + PyErr_SetString(PyExc_SystemError, "Missing type object"); + return 0; + } + else if (exact) { + #if PY_MAJOR_VERSION == 2 + if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1; + #endif + } + else { + if (likely(__Pyx_TypeCheck(obj, type))) return 1; + } + PyErr_Format(PyExc_TypeError, + "Argument '%.200s' has incorrect type (expected %.200s, got %.200s)", + name, type->tp_name, Py_TYPE(obj)->tp_name); + return 0; +} + +/* Import */ +static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { + PyObject *empty_list = 0; + PyObject *module = 0; + PyObject *global_dict = 0; + PyObject *empty_dict = 0; + PyObject *list; + #if PY_MAJOR_VERSION < 3 + PyObject *py_import; + py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import); + if (!py_import) + goto bad; + #endif + if (from_list) + list = from_list; + else { + empty_list = PyList_New(0); + if (!empty_list) + goto bad; + list = empty_list; + } + global_dict = PyModule_GetDict(__pyx_m); + if (!global_dict) + goto bad; + empty_dict = PyDict_New(); + if (!empty_dict) + goto bad; + { + #if PY_MAJOR_VERSION >= 3 + if (level == -1) { + if (strchr(__Pyx_MODULE_NAME, '.')) { + module = PyImport_ImportModuleLevelObject( + name, global_dict, empty_dict, list, 1); + if (!module) { + if (!PyErr_ExceptionMatches(PyExc_ImportError)) + goto bad; + PyErr_Clear(); + } + } + level = 0; + } + #endif + if (!module) { + #if PY_MAJOR_VERSION < 3 + PyObject *py_level = PyInt_FromLong(level); + if (!py_level) + goto bad; + module = PyObject_CallFunctionObjArgs(py_import, + name, global_dict, empty_dict, list, py_level, (PyObject *)NULL); + Py_DECREF(py_level); + #else + module = PyImport_ImportModuleLevelObject( + name, global_dict, empty_dict, list, level); + #endif + } + } +bad: + #if PY_MAJOR_VERSION < 3 + Py_XDECREF(py_import); + #endif + Py_XDECREF(empty_list); + Py_XDECREF(empty_dict); + return module; +} + +/* PyErrFetchRestore */ +#if CYTHON_FAST_THREAD_STATE +static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { + PyObject *tmp_type, *tmp_value, *tmp_tb; + tmp_type = tstate->curexc_type; + tmp_value = tstate->curexc_value; + tmp_tb = tstate->curexc_traceback; + tstate->curexc_type = type; + tstate->curexc_value = value; + tstate->curexc_traceback = tb; + Py_XDECREF(tmp_type); + Py_XDECREF(tmp_value); + Py_XDECREF(tmp_tb); +} +static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { + *type = tstate->curexc_type; + *value = tstate->curexc_value; + *tb = tstate->curexc_traceback; + tstate->curexc_type = 0; + tstate->curexc_value = 0; + tstate->curexc_traceback = 0; +} +#endif + +/* CLineInTraceback */ +#ifndef CYTHON_CLINE_IN_TRACEBACK +static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line) { + PyObject *use_cline; + PyObject *ptype, *pvalue, *ptraceback; +#if CYTHON_COMPILING_IN_CPYTHON + PyObject **cython_runtime_dict; +#endif + if (unlikely(!__pyx_cython_runtime)) { + return c_line; + } + __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback); +#if CYTHON_COMPILING_IN_CPYTHON + cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime); + if (likely(cython_runtime_dict)) { + __PYX_PY_DICT_LOOKUP_IF_MODIFIED( + use_cline, *cython_runtime_dict, + __Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback)) + } else +#endif + { + PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback); + if (use_cline_obj) { + use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True; + Py_DECREF(use_cline_obj); + } else { + PyErr_Clear(); + use_cline = NULL; + } + } + if (!use_cline) { + c_line = 0; + PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False); + } + else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) { + c_line = 0; + } + __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback); + return c_line; +} +#endif + +/* CodeObjectCache */ +static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) { + int start = 0, mid = 0, end = count - 1; + if (end >= 0 && code_line > entries[end].code_line) { + return count; + } + while (start < end) { + mid = start + (end - start) / 2; + if (code_line < entries[mid].code_line) { + end = mid; + } else if (code_line > entries[mid].code_line) { + start = mid + 1; + } else { + return mid; + } + } + if (code_line <= entries[mid].code_line) { + return mid; + } else { + return mid + 1; + } +} +static PyCodeObject *__pyx_find_code_object(int code_line) { + PyCodeObject* code_object; + int pos; + if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) { + return NULL; + } + pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); + if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) { + return NULL; + } + code_object = __pyx_code_cache.entries[pos].code_object; + Py_INCREF(code_object); + return code_object; +} +static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) { + int pos, i; + __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries; + if (unlikely(!code_line)) { + return; + } + if (unlikely(!entries)) { + entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry)); + if (likely(entries)) { + __pyx_code_cache.entries = entries; + __pyx_code_cache.max_count = 64; + __pyx_code_cache.count = 1; + entries[0].code_line = code_line; + entries[0].code_object = code_object; + Py_INCREF(code_object); + } + return; + } + pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); + if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) { + PyCodeObject* tmp = entries[pos].code_object; + entries[pos].code_object = code_object; + Py_DECREF(tmp); + return; + } + if (__pyx_code_cache.count == __pyx_code_cache.max_count) { + int new_max = __pyx_code_cache.max_count + 64; + entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc( + __pyx_code_cache.entries, (size_t)new_max*sizeof(__Pyx_CodeObjectCacheEntry)); + if (unlikely(!entries)) { + return; + } + __pyx_code_cache.entries = entries; + __pyx_code_cache.max_count = new_max; + } + for (i=__pyx_code_cache.count; i>pos; i--) { + entries[i] = entries[i-1]; + } + entries[pos].code_line = code_line; + entries[pos].code_object = code_object; + __pyx_code_cache.count++; + Py_INCREF(code_object); +} + +/* AddTraceback */ +#include "compile.h" +#include "frameobject.h" +#include "traceback.h" +static PyCodeObject* __Pyx_CreateCodeObjectForTraceback( + const char *funcname, int c_line, + int py_line, const char *filename) { + PyCodeObject *py_code = 0; + PyObject *py_srcfile = 0; + PyObject *py_funcname = 0; + #if PY_MAJOR_VERSION < 3 + py_srcfile = PyString_FromString(filename); + #else + py_srcfile = PyUnicode_FromString(filename); + #endif + if (!py_srcfile) goto bad; + if (c_line) { + #if PY_MAJOR_VERSION < 3 + py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); + #else + py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); + #endif + } + else { + #if PY_MAJOR_VERSION < 3 + py_funcname = PyString_FromString(funcname); + #else + py_funcname = PyUnicode_FromString(funcname); + #endif + } + if (!py_funcname) goto bad; + py_code = __Pyx_PyCode_New( + 0, + 0, + 0, + 0, + 0, + __pyx_empty_bytes, /*PyObject *code,*/ + __pyx_empty_tuple, /*PyObject *consts,*/ + __pyx_empty_tuple, /*PyObject *names,*/ + __pyx_empty_tuple, /*PyObject *varnames,*/ + __pyx_empty_tuple, /*PyObject *freevars,*/ + __pyx_empty_tuple, /*PyObject *cellvars,*/ + py_srcfile, /*PyObject *filename,*/ + py_funcname, /*PyObject *name,*/ + py_line, + __pyx_empty_bytes /*PyObject *lnotab*/ + ); + Py_DECREF(py_srcfile); + Py_DECREF(py_funcname); + return py_code; +bad: + Py_XDECREF(py_srcfile); + Py_XDECREF(py_funcname); + return NULL; +} +static void __Pyx_AddTraceback(const char *funcname, int c_line, + int py_line, const char *filename) { + PyCodeObject *py_code = 0; + PyFrameObject *py_frame = 0; + PyThreadState *tstate = __Pyx_PyThreadState_Current; + if (c_line) { + c_line = __Pyx_CLineForTraceback(tstate, c_line); + } + py_code = __pyx_find_code_object(c_line ? -c_line : py_line); + if (!py_code) { + py_code = __Pyx_CreateCodeObjectForTraceback( + funcname, c_line, py_line, filename); + if (!py_code) goto bad; + __pyx_insert_code_object(c_line ? -c_line : py_line, py_code); + } + py_frame = PyFrame_New( + tstate, /*PyThreadState *tstate,*/ + py_code, /*PyCodeObject *code,*/ + __pyx_d, /*PyObject *globals,*/ + 0 /*PyObject *locals*/ + ); + if (!py_frame) goto bad; + __Pyx_PyFrame_SetLineNumber(py_frame, py_line); + PyTraceBack_Here(py_frame); +bad: + Py_XDECREF(py_code); + Py_XDECREF(py_frame); +} + +/* CIntToPy */ +static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { + const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0; + const int is_unsigned = neg_one > const_zero; + if (is_unsigned) { + if (sizeof(long) < sizeof(long)) { + return PyInt_FromLong((long) value); + } else if (sizeof(long) <= sizeof(unsigned long)) { + return PyLong_FromUnsignedLong((unsigned long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { + return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); +#endif + } + } else { + if (sizeof(long) <= sizeof(long)) { + return PyInt_FromLong((long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { + return PyLong_FromLongLong((PY_LONG_LONG) value); +#endif + } + } + { + int one = 1; int little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&value; + return _PyLong_FromByteArray(bytes, sizeof(long), + little, !is_unsigned); + } +} + +/* CIntToPy */ +static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) { + const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0; + const int is_unsigned = neg_one > const_zero; + if (is_unsigned) { + if (sizeof(int) < sizeof(long)) { + return PyInt_FromLong((long) value); + } else if (sizeof(int) <= sizeof(unsigned long)) { + return PyLong_FromUnsignedLong((unsigned long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { + return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); +#endif + } + } else { + if (sizeof(int) <= sizeof(long)) { + return PyInt_FromLong((long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { + return PyLong_FromLongLong((PY_LONG_LONG) value); +#endif + } + } + { + int one = 1; int little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&value; + return _PyLong_FromByteArray(bytes, sizeof(int), + little, !is_unsigned); + } +} + +/* CIntFromPyVerify */ +#define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\ + __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0) +#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\ + __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1) +#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\ + {\ + func_type value = func_value;\ + if (sizeof(target_type) < sizeof(func_type)) {\ + if (unlikely(value != (func_type) (target_type) value)) {\ + func_type zero = 0;\ + if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\ + return (target_type) -1;\ + if (is_unsigned && unlikely(value < zero))\ + goto raise_neg_overflow;\ + else\ + goto raise_overflow;\ + }\ + }\ + return (target_type) value;\ + } + +/* CIntFromPy */ +static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) { + const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0; + const int is_unsigned = neg_one > const_zero; +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_Check(x))) { + if (sizeof(int) < sizeof(long)) { + __PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x)) + } else { + long val = PyInt_AS_LONG(x); + if (is_unsigned && unlikely(val < 0)) { + goto raise_neg_overflow; + } + return (int) val; + } + } else +#endif + if (likely(PyLong_Check(x))) { + if (is_unsigned) { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (int) 0; + case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0]) + case 2: + if (8 * sizeof(int) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) { + return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); + } + } + break; + case 3: + if (8 * sizeof(int) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) { + return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); + } + } + break; + case 4: + if (8 * sizeof(int) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) { + return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); + } + } + break; + } +#endif +#if CYTHON_COMPILING_IN_CPYTHON + if (unlikely(Py_SIZE(x) < 0)) { + goto raise_neg_overflow; + } +#else + { + int result = PyObject_RichCompareBool(x, Py_False, Py_LT); + if (unlikely(result < 0)) + return (int) -1; + if (unlikely(result == 1)) + goto raise_neg_overflow; + } +#endif + if (sizeof(int) <= sizeof(unsigned long)) { + __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) +#endif + } + } else { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (int) 0; + case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0])) + case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0]) + case -2: + if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { + return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case 2: + if (8 * sizeof(int) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { + return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case -3: + if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { + return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case 3: + if (8 * sizeof(int) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { + return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case -4: + if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) { + return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + case 4: + if (8 * sizeof(int) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) { + return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); + } + } + break; + } +#endif + if (sizeof(int) <= sizeof(long)) { + __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x)) +#endif + } + } + { +#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) + PyErr_SetString(PyExc_RuntimeError, + "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); +#else + int val; + PyObject *v = __Pyx_PyNumber_IntOrLong(x); + #if PY_MAJOR_VERSION < 3 + if (likely(v) && !PyLong_Check(v)) { + PyObject *tmp = v; + v = PyNumber_Long(tmp); + Py_DECREF(tmp); + } + #endif + if (likely(v)) { + int one = 1; int is_little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&val; + int ret = _PyLong_AsByteArray((PyLongObject *)v, + bytes, sizeof(val), + is_little, !is_unsigned); + Py_DECREF(v); + if (likely(!ret)) + return val; + } +#endif + return (int) -1; + } + } else { + int val; + PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); + if (!tmp) return (int) -1; + val = __Pyx_PyInt_As_int(tmp); + Py_DECREF(tmp); + return val; + } +raise_overflow: + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to int"); + return (int) -1; +raise_neg_overflow: + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to int"); + return (int) -1; +} + +/* CIntFromPy */ +static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) { + const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0; + const int is_unsigned = neg_one > const_zero; +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_Check(x))) { + if (sizeof(long) < sizeof(long)) { + __PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x)) + } else { + long val = PyInt_AS_LONG(x); + if (is_unsigned && unlikely(val < 0)) { + goto raise_neg_overflow; + } + return (long) val; + } + } else +#endif + if (likely(PyLong_Check(x))) { + if (is_unsigned) { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (long) 0; + case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0]) + case 2: + if (8 * sizeof(long) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) { + return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); + } + } + break; + case 3: + if (8 * sizeof(long) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) { + return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); + } + } + break; + case 4: + if (8 * sizeof(long) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) { + return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); + } + } + break; + } +#endif +#if CYTHON_COMPILING_IN_CPYTHON + if (unlikely(Py_SIZE(x) < 0)) { + goto raise_neg_overflow; + } +#else + { + int result = PyObject_RichCompareBool(x, Py_False, Py_LT); + if (unlikely(result < 0)) + return (long) -1; + if (unlikely(result == 1)) + goto raise_neg_overflow; + } +#endif + if (sizeof(long) <= sizeof(unsigned long)) { + __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) +#endif + } + } else { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (long) 0; + case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0])) + case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0]) + case -2: + if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case 2: + if (8 * sizeof(long) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case -3: + if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case 3: + if (8 * sizeof(long) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case -4: + if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { + return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + case 4: + if (8 * sizeof(long) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { + return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); + } + } + break; + } +#endif + if (sizeof(long) <= sizeof(long)) { + __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x)) +#endif + } + } + { +#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) + PyErr_SetString(PyExc_RuntimeError, + "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); +#else + long val; + PyObject *v = __Pyx_PyNumber_IntOrLong(x); + #if PY_MAJOR_VERSION < 3 + if (likely(v) && !PyLong_Check(v)) { + PyObject *tmp = v; + v = PyNumber_Long(tmp); + Py_DECREF(tmp); + } + #endif + if (likely(v)) { + int one = 1; int is_little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&val; + int ret = _PyLong_AsByteArray((PyLongObject *)v, + bytes, sizeof(val), + is_little, !is_unsigned); + Py_DECREF(v); + if (likely(!ret)) + return val; + } +#endif + return (long) -1; + } + } else { + long val; + PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); + if (!tmp) return (long) -1; + val = __Pyx_PyInt_As_long(tmp); + Py_DECREF(tmp); + return val; + } +raise_overflow: + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to long"); + return (long) -1; +raise_neg_overflow: + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to long"); + return (long) -1; +} + +/* FastTypeChecks */ +#if CYTHON_COMPILING_IN_CPYTHON +static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) { + while (a) { + a = a->tp_base; + if (a == b) + return 1; + } + return b == &PyBaseObject_Type; +} +static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) { + PyObject *mro; + if (a == b) return 1; + mro = a->tp_mro; + if (likely(mro)) { + Py_ssize_t i, n; + n = PyTuple_GET_SIZE(mro); + for (i = 0; i < n; i++) { + if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b) + return 1; + } + return 0; + } + return __Pyx_InBases(a, b); +} +#if PY_MAJOR_VERSION == 2 +static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) { + PyObject *exception, *value, *tb; + int res; + __Pyx_PyThreadState_declare + __Pyx_PyThreadState_assign + __Pyx_ErrFetch(&exception, &value, &tb); + res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0; + if (unlikely(res == -1)) { + PyErr_WriteUnraisable(err); + res = 0; + } + if (!res) { + res = PyObject_IsSubclass(err, exc_type2); + if (unlikely(res == -1)) { + PyErr_WriteUnraisable(err); + res = 0; + } + } + __Pyx_ErrRestore(exception, value, tb); + return res; +} +#else +static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) { + int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0; + if (!res) { + res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2); + } + return res; +} +#endif +static int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) { + Py_ssize_t i, n; + assert(PyExceptionClass_Check(exc_type)); + n = PyTuple_GET_SIZE(tuple); +#if PY_MAJOR_VERSION >= 3 + for (i=0; ip) { + #if PY_MAJOR_VERSION < 3 + if (t->is_unicode) { + *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL); + } else if (t->intern) { + *t->p = PyString_InternFromString(t->s); + } else { + *t->p = PyString_FromStringAndSize(t->s, t->n - 1); + } + #else + if (t->is_unicode | t->is_str) { + if (t->intern) { + *t->p = PyUnicode_InternFromString(t->s); + } else if (t->encoding) { + *t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL); + } else { + *t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1); + } + } else { + *t->p = PyBytes_FromStringAndSize(t->s, t->n - 1); + } + #endif + if (!*t->p) + return -1; + if (PyObject_Hash(*t->p) == -1) + return -1; + ++t; + } + return 0; +} + +static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) { + return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str)); +} +static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) { + Py_ssize_t ignore; + return __Pyx_PyObject_AsStringAndSize(o, &ignore); +} +#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT +#if !CYTHON_PEP393_ENABLED +static const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) { + char* defenc_c; + PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL); + if (!defenc) return NULL; + defenc_c = PyBytes_AS_STRING(defenc); +#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII + { + char* end = defenc_c + PyBytes_GET_SIZE(defenc); + char* c; + for (c = defenc_c; c < end; c++) { + if ((unsigned char) (*c) >= 128) { + PyUnicode_AsASCIIString(o); + return NULL; + } + } + } +#endif + *length = PyBytes_GET_SIZE(defenc); + return defenc_c; +} +#else +static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) { + if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL; +#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII + if (likely(PyUnicode_IS_ASCII(o))) { + *length = PyUnicode_GET_LENGTH(o); + return PyUnicode_AsUTF8(o); + } else { + PyUnicode_AsASCIIString(o); + return NULL; + } +#else + return PyUnicode_AsUTF8AndSize(o, length); +#endif +} +#endif +#endif +static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) { +#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT + if ( +#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII + __Pyx_sys_getdefaultencoding_not_ascii && +#endif + PyUnicode_Check(o)) { + return __Pyx_PyUnicode_AsStringAndSize(o, length); + } else +#endif +#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE)) + if (PyByteArray_Check(o)) { + *length = PyByteArray_GET_SIZE(o); + return PyByteArray_AS_STRING(o); + } else +#endif + { + char* result; + int r = PyBytes_AsStringAndSize(o, &result, length); + if (unlikely(r < 0)) { + return NULL; + } else { + return result; + } + } +} +static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { + int is_true = x == Py_True; + if (is_true | (x == Py_False) | (x == Py_None)) return is_true; + else return PyObject_IsTrue(x); +} +static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) { + int retval; + if (unlikely(!x)) return -1; + retval = __Pyx_PyObject_IsTrue(x); + Py_DECREF(x); + return retval; +} +static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) { +#if PY_MAJOR_VERSION >= 3 + if (PyLong_Check(result)) { + if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1, + "__int__ returned non-int (type %.200s). " + "The ability to return an instance of a strict subclass of int " + "is deprecated, and may be removed in a future version of Python.", + Py_TYPE(result)->tp_name)) { + Py_DECREF(result); + return NULL; + } + return result; + } +#endif + PyErr_Format(PyExc_TypeError, + "__%.4s__ returned non-%.4s (type %.200s)", + type_name, type_name, Py_TYPE(result)->tp_name); + Py_DECREF(result); + return NULL; +} +static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) { +#if CYTHON_USE_TYPE_SLOTS + PyNumberMethods *m; +#endif + const char *name = NULL; + PyObject *res = NULL; +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_Check(x) || PyLong_Check(x))) +#else + if (likely(PyLong_Check(x))) +#endif + return __Pyx_NewRef(x); +#if CYTHON_USE_TYPE_SLOTS + m = Py_TYPE(x)->tp_as_number; + #if PY_MAJOR_VERSION < 3 + if (m && m->nb_int) { + name = "int"; + res = m->nb_int(x); + } + else if (m && m->nb_long) { + name = "long"; + res = m->nb_long(x); + } + #else + if (likely(m && m->nb_int)) { + name = "int"; + res = m->nb_int(x); + } + #endif +#else + if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) { + res = PyNumber_Int(x); + } +#endif + if (likely(res)) { +#if PY_MAJOR_VERSION < 3 + if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) { +#else + if (unlikely(!PyLong_CheckExact(res))) { +#endif + return __Pyx_PyNumber_IntOrLongWrongResultType(res, name); + } + } + else if (!PyErr_Occurred()) { + PyErr_SetString(PyExc_TypeError, + "an integer is required"); + } + return res; +} +static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) { + Py_ssize_t ival; + PyObject *x; +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_CheckExact(b))) { + if (sizeof(Py_ssize_t) >= sizeof(long)) + return PyInt_AS_LONG(b); + else + return PyInt_AsSsize_t(b); + } +#endif + if (likely(PyLong_CheckExact(b))) { + #if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)b)->ob_digit; + const Py_ssize_t size = Py_SIZE(b); + if (likely(__Pyx_sst_abs(size) <= 1)) { + ival = likely(size) ? digits[0] : 0; + if (size == -1) ival = -ival; + return ival; + } else { + switch (size) { + case 2: + if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { + return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case -2: + if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { + return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case 3: + if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { + return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case -3: + if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { + return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case 4: + if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { + return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + case -4: + if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { + return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); + } + break; + } + } + #endif + return PyLong_AsSsize_t(b); + } + x = PyNumber_Index(b); + if (!x) return -1; + ival = PyInt_AsSsize_t(x); + Py_DECREF(x); + return ival; +} +static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b) { + return b ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False); +} +static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) { + return PyInt_FromSize_t(ival); +} + + +#endif /* Py_PYTHON_H */ diff --git a/bin/metrics/metrics.pyx b/bin/metrics/metrics.pyx new file mode 100644 index 0000000..cab0a7f --- /dev/null +++ b/bin/metrics/metrics.pyx @@ -0,0 +1,181 @@ +""" +Common metrics required in machine learning modules. + +Available functions: + - ``rsq``: R-Squared + - ``mse``: Mean squared error + - ``rmse``: Root mean squared error + - ``mae``: Mean absolute error + - ``mape``: Mean absolute percentage error + +Author +------ +:: + + Author: Diptesh Basak + Date: Sep 10, 2021 +""" + +import numpy as _np + +# ============================================================================= +# --- User defined functions +# ============================================================================= + + +cpdef rsq(list y, list y_hat): + """ + Compute `Coefficient of determination + `_ + or R-Squared. + + Parameters + ---------- + y : list + + Actual values. + + y_hat : list + + Predicted values. + + Returns + ------- + op : float + + R-Squared value. + + """ + return _np.round(_np.corrcoef(y, y_hat)[0][1] ** 2, 3) + + +cpdef mse(list y, list y_hat): + """ + Compute `Mean squared error + `_. + + Parameters + ---------- + :y: list + + Actual values. + + :y_hat: list + + Predicted values. + + Returns + ------- + :op: float + + Mean squared error. + + """ + cdef int i + cdef int arr_len + cdef double a + cdef double b + cdef double op = 0.0 + arr_len = len(y) + for i in range(0, arr_len, 1): + a = y[i] + b = y_hat[i] + op = op + (a - b) ** 2 + op = op * arr_len ** -1.0 + return op + +cpdef rmse(list y, list y_hat): + """ + Compute `Root mean square error + `_. + + Parameters + ---------- + y : list + + Actual values. + + y_hat : list + + Predicted values. + + Returns + ------- + op : float + + Root mean square error. + + """ + return mse(y, y_hat) ** 0.5 + + +cpdef mae(list y, list y_hat): + """ + Compute `Mean absolute error + `_. + + Parameters + ---------- + y : list + + Actual values. + + y_hat : list + + Predicted values. + + Returns + ------- + op : float + + Mean absolute error. + + """ + cdef int i + cdef int arr_len + cdef double a + cdef double b + cdef double op = 0.0 + arr_len = len(y) + for i in range(0, arr_len, 1): + a = y[i] + b = y_hat[i] + op += abs(a - b) + op = op * arr_len ** -1.0 + return op + + +cpdef mape(list y, list y_hat): + """ + Compute `Mean absolute percentage error + `_. + + Parameters + ---------- + y : list + + Actual values. + + y_hat : list + + Predicted values. + + Returns + ------- + op : float + + Mean absolute percentage error. + + """ + cdef int i + cdef int arr_len + cdef double a + cdef double b + cdef double op = 0.0 + arr_len = len(y) + for i in range(0, arr_len, 1): + a = y[i] + b = y_hat[i] + op += abs(1 - (b * a ** -1.0)) + op = op * arr_len ** -1.0 + return op diff --git a/bin/metrics/metrics.so b/bin/metrics/metrics.so new file mode 100644 index 0000000000000000000000000000000000000000..be2e20a9dc98f48bf2a6abb303aef09021bc1a31 GIT binary patch literal 181888 zcmeFa3wRV&(l_3nOp{5P%ycpd441$F2?U&k1dK_*XaWgLB!O^K@Ro!mkSHWEnJBn| zxJg{baTIse#p|N$1$Es;U6n<}fau_^7x0R=HQr~$3*xG*7xMk8PWPlUl6QB%|MPtR z?|r^^o`>$LI(6#QsZ*y;ozorq(z1#Nv(6h9H8Ly}Z16-X+s z8B#j)S|TMs2a3lCnsJvjfm0g_fiAk>=i+PRexOp|#@$?x+iTVNqwb%nf^OW+^@gCR 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zM2qm3^;v!!-(>5D`=1VK74l~TtjF>{qWZi~>cLlPjf2=f&VH6%U&*_d*xpdm&j#0xMbng%O_3u{_c0M`Z3+<3AaF!FohLt3&3Dt6p%*jSD)#U*IBoPTjF6l^bB h|El+E{nuf?JNt>{m+6kSo2C2PKhpYRQHAKz{a*(Ntt|im literal 0 HcmV?d00001 diff --git a/bin/metrics/setup.py b/bin/metrics/setup.py new file mode 100644 index 0000000..abd9145 --- /dev/null +++ b/bin/metrics/setup.py @@ -0,0 +1,7 @@ +"""Setup file.""" + +from setuptools import setup +from Cython.Build import cythonize + +setup(name="Shared objects", + ext_modules=cythonize("*.pyx")) diff --git a/log/pylint/lib-glmnet_ts-py.out b/log/pylint/lib-glmnet_ts-py.out new file mode 100644 index 0000000..c86d78e --- /dev/null +++ b/log/pylint/lib-glmnet_ts-py.out @@ -0,0 +1,55 @@ +************* Module mllib.lib.glmnet_ts +glmnet_ts.py:70:5: C0326: Exactly one space required around assignment +y_var=["y"] + ^ (bad-whitespace) +glmnet_ts.py:71:5: C0326: Exactly one space required around assignment +x_var=["x1", "x2"] + ^ (bad-whitespace) +glmnet_ts.py:82:0: C0303: Trailing whitespace (trailing-whitespace) +glmnet_ts.py:116:0: C0303: Trailing whitespace (trailing-whitespace) +glmnet_ts.py:131:13: C0303: Trailing whitespace (trailing-whitespace) +glmnet_ts.py:136:16: C0326: Exactly one space required after comma +for i in range(0,len(df_test)): + ^ (bad-whitespace) +glmnet_ts.py:139:0: C0301: Line too long (102/100) (line-too-long) +glmnet_ts.py:140:20: C0326: Exactly one space required after comma + for j in range(1,len(lag_var)): + ^ (bad-whitespace) +glmnet_ts.py:141:0: C0301: Line too long (103/100) (line-too-long) +glmnet_ts.py:148:16: C0326: Exactly one space required around assignment + df_pred_data=df_pred_data.append(df_tmp).reset_index(drop=True) + ^ (bad-whitespace) +glmnet_ts.py:150:0: C0305: Trailing newlines (trailing-newlines) +glmnet_ts.py:19:20: W0621: Redefining name 'y_var' from outer scope (line 70) (redefined-outer-name) +glmnet_ts.py:20:20: W0621: Redefining name 'x_var' from outer scope (line 71) (redefined-outer-name) +glmnet_ts.py:18:0: C0103: Argument name "df" doesn't conform to snake_case naming style (invalid-name) +glmnet_ts.py:64:4: C0103: Variable name "op" doesn't conform to snake_case naming style (invalid-name) +glmnet_ts.py:68:0: C0103: Constant name "df_ip" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:70:0: C0103: Constant name "y_var" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:71:0: C0103: Constant name "x_var" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:73:0: C0103: Constant name "param" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:84:0: C0103: Constant name "df_ip" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:86:0: C0103: Constant name "lag_var" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:87:0: C0103: Constant name "x_var" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:90:0: C0103: Constant name "max_epoch" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:93:0: C0103: Constant name "df_pred_data" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:95:0: C0103: Constant name "df_train" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:96:0: C0103: Constant name "df_test" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:98:0: C0103: Constant name "train_x" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:99:0: C0103: Constant name "train_y" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:101:0: C0103: Constant name "test_x" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:102:0: C0103: Constant name "test_y" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:108:0: C0103: Constant name "mod" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:119:0: C0103: Constant name "opt" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:125:0: C0103: Constant name "model" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:126:0: W0127: Assigning the same variable 'opt' to itself (self-assigning-variable) +glmnet_ts.py:126:0: C0103: Constant name "opt" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:130:0: C0103: Constant name "df_predict" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:132:0: C0103: Constant name "df_predict" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:133:0: C0103: Constant name "df_predict" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:9:0: W0611: Unused Dict imported from typing (unused-import) +glmnet_ts.py:15:0: W0611: Unused train_test_split imported from sklearn.model_selection as split (unused-import) + +------------------------------------------------------------------ +Your code has been rated at 4.20/10 (previous run: 4.20/10, +0.00) + diff --git a/log/pylint/metrics-setup-py.out b/log/pylint/metrics-setup-py.out new file mode 100644 index 0000000..d7495ee --- /dev/null +++ b/log/pylint/metrics-setup-py.out @@ -0,0 +1,4 @@ + +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) + diff --git a/log/pylint/tests-test_metrics-py.out b/log/pylint/tests-test_metrics-py.out new file mode 100644 index 0000000..d40a4ad --- /dev/null +++ b/log/pylint/tests-test_metrics-py.out @@ -0,0 +1,10 @@ +************* Module tests.test_metrics +test_metrics.py:61:22: I1101: Module 'mllib.lib.metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +test_metrics.py:69:22: I1101: Module 'mllib.lib.metrics' has no 'mse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +test_metrics.py:77:22: I1101: Module 'mllib.lib.metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +test_metrics.py:85:22: I1101: Module 'mllib.lib.metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +test_metrics.py:93:22: I1101: Module 'mllib.lib.metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. 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a/requirements.txt b/requirements.txt index 362a3a8..878016e 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,3 +1,4 @@ -pandas==1.1.3 numpy==1.19.5 +Cython==0.29.15 +pandas==1.1.3 scikit_learn==0.24.2 diff --git a/tests/test_metrics.py b/tests/test_metrics.py new file mode 100644 index 0000000..39f8f1c --- /dev/null +++ b/tests/test_metrics.py @@ -0,0 +1,102 @@ +""" +Test suite module for ``metrics``. + +Credits +------- +:: + + Authors: + - Diptesh + + Date: Sep 01, 2021 +""" + +# pylint: disable=invalid-name +# pylint: disable=wrong-import-position + +import unittest +import warnings +import re +import sys + +from inspect import getsourcefile +from os.path import abspath + +import numpy as np + +# Set base path +path = abspath(getsourcefile(lambda: 0)) +path = re.sub(r"(.+)(\/tests.*)", "\\1", path) + +sys.path.insert(0, path) + +from mllib.lib import metrics # noqa: F841 + +# ============================================================================= +# --- User defined functions +# ============================================================================= + + +def ignore_warnings(test_func): + """Suppress deprecation warnings of pulp.""" + + def do_test(self, *args, **kwargs): + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + test_func(self, *args, **kwargs) + return do_test + + +class TestMetrics(unittest.TestCase): + """Test suite for module ``metrics``.""" + + def setUp(self): + """Set up for module ``metrics``.""" + + def test_rsq(self): + """Metrics: Test for R-squared.""" + y = [3, 8, 10, 17, 24, 27] + y_hat = [2, 8, 10, 13, 18, 20] + exp_op = 0.973 + op = np.round(metrics.rsq(y, y_hat), 3) + self.assertEqual(op, exp_op) + + def test_mse(self): + """Metrics: Test for MSE.""" + y = [34, 37, 44, 47, 48, 48, 46, 43, 32, 27, 26, 24] + y_hat = [37, 40, 46, 44, 46, 50, 45, 44, 34, 30, 22, 23] + exp_op = 5.917 + op = np.round(metrics.mse(y, y_hat), 3) + self.assertEqual(op, exp_op) + + def test_rmse(self): + """Metrics: Test for RMSE.""" + y = [34, 37, 44, 47, 48, 48, 46, 43, 32, 27, 26, 24] + y_hat = [37, 40, 46, 44, 46, 50, 45, 44, 34, 30, 22, 23] + exp_op = 2.432 + op = np.round(metrics.rmse(y, y_hat), 3) + self.assertEqual(op, exp_op) + + def test_mae(self): + """Metrics: Test for MAE.""" + y = [12, 13, 14, 15, 15, 22, 27] + y_hat = [11, 13, 14, 14, 15, 16, 18] + exp_op = 2.429 + op = np.round(metrics.mae(y, y_hat), 3) + self.assertEqual(op, exp_op) + + def test_mape(self): + """Metrics: Test for MAPE.""" + y = [34, 37, 44, 47, 48, 48, 46, 43, 32, 27, 26, 24] + y_hat = [37, 40, 46, 44, 46, 50, 45, 44, 34, 30, 22, 23] + exp_op = 0.065 + op = np.round(metrics.mape(y, y_hat), 3) + self.assertEqual(op, exp_op) + + +# ============================================================================= +# --- Main +# ============================================================================= + +if __name__ == '__main__': + unittest.main() From d7b9bb9aa455bb4c32dc04733a6f52e528fefde0 Mon Sep 17 00:00:00 2001 From: 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a/requirements.txt +++ b/requirements.txt @@ -1,4 +1,4 @@ -numpy==1.19.5 -Cython==0.29.15 pandas==1.1.3 +Cython==0.29.15 +numpy==1.19.5 scikit_learn==0.24.2 diff --git a/tests/test_metrics.py b/tests/test_metrics.py index 39f8f1c..d9b7eac 100644 --- a/tests/test_metrics.py +++ b/tests/test_metrics.py @@ -8,7 +8,7 @@ Authors: - Diptesh - Date: Sep 01, 2021 + Date: Sep 07, 2021 """ # pylint: disable=invalid-name From c0e5f27804b90492abd8635980134750565f8fdf Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Fri, 10 Sep 2021 02:42:51 +0530 Subject: [PATCH 022/116] v0.4.0 --- docs/Directory_structure.md | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/docs/Directory_structure.md b/docs/Directory_structure.md index 6095e7b..816dc0d 100644 --- a/docs/Directory_structure.md +++ b/docs/Directory_structure.md @@ -31,7 +31,14 @@ project_name/ │ ├── bin/ │ ├── hive_queries.sh -│ └── run_tests.sh +│ ├── run_tests.sh +│ └── metrics/ +│ ├── build/ +│ ├── metrics.pyx +│ ├── metrics.so +│ ├── metrics.c +│ ├── setup.py +│ └── build.sh │ ├── data/ │ ├── input/ @@ -42,7 +49,7 @@ project_name/ │ └── model_diagnostics.csv │ ├── docs/ -│ ├── problem_statement.md +│ ├── Branch.md │ ├── Approach.pdf │ └── latex/ │ @@ -67,14 +74,7 @@ project_name/ │ ├── stat.py │ ├── opt.py │ ├── utils.py -│ ├── data_types.py -│ └── tmp/ -│ ├── build/ -│ ├── metrics.pyx -│ ├── metrics.so -│ ├── metrics.c -│ ├── setup.py -│ └── build.sh +│ └── data_types.py │ ├── tests/ │ ├── __init__.py From c4b7bd771dc4845bdcd22b814b67c4f816408d78 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sat, 11 Sep 2021 00:41:27 +0530 Subject: [PATCH 023/116] v0.4.0 --- log/cov.out | 4 +-- log/pylint/lib-model-py.out | 5 ++++ mllib/__main__.py | 7 +++-- mllib/lib/glmnet_ts.py | 57 ++++++++++++++++++++++++++----------- mllib/lib/model.py | 28 ++++++++++++++++-- requirements.txt | 4 +-- 6 files changed, 80 insertions(+), 25 deletions(-) diff --git a/log/cov.out b/log/cov.out index f87518b..5995bfe 100644 --- a/log/cov.out +++ b/log/cov.out @@ -3,6 +3,6 @@ Name Stmts Miss Cov /media/ph33r/Data/Project/mllib/GitHub/mllib/__init__.py 7 0 100% /media/ph33r/Data/Project/mllib/GitHub/mllib/lib/__init__.py 7 0 100% /media/ph33r/Data/Project/mllib/GitHub/mllib/lib/cluster.py 103 0 100% -/media/ph33r/Data/Project/mllib/GitHub/mllib/lib/model.py 44 0 100% +/media/ph33r/Data/Project/mllib/GitHub/mllib/lib/model.py 60 0 100% -------------------------------------------------------------------------------------------- -TOTAL 161 0 100% +TOTAL 177 0 100% diff --git a/log/pylint/lib-model-py.out b/log/pylint/lib-model-py.out index d7495ee..436caf9 100644 --- a/log/pylint/lib-model-py.out +++ b/log/pylint/lib-model-py.out @@ -1,3 +1,8 @@ +************* Module mllib.lib.model +model.py:191:32: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:192:32: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:193:33: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:194:33: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/mllib/__main__.py b/mllib/__main__.py index ef53af1..c6d583e 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -81,8 +81,11 @@ glm_mod = GLMNet(df=df_ip, y_var=["y"], x_var=["x1", "x2", "x3"]) - print("\nGLMNet\n", - elapsed_time("Time", start_t), + print("\nGLMNet\n") + model_summary = glm_mod.model_summary + for k, v in model_summary.items(): + print(k, v) + print(elapsed_time("Time", start_t), sep="\n") # --- EOF print(sep, elapsed_time("Total time", start), sep, sep="\n") diff --git a/mllib/lib/glmnet_ts.py b/mllib/lib/glmnet_ts.py index 9e4de01..b3b57ac 100644 --- a/mllib/lib/glmnet_ts.py +++ b/mllib/lib/glmnet_ts.py @@ -15,6 +15,9 @@ from sklearn.model_selection import train_test_split as split from sklearn.model_selection import TimeSeriesSplit as ts_split +import metrics + + def create_lag_vars(df: pd.DataFrame, y_var: List[str], x_var: List[str], @@ -65,21 +68,20 @@ def create_lag_vars(df: pd.DataFrame, return op -df_ip = pd.read_csv("/media/madhu/Data/gitHub_kubuntu/mllib/data/" + "input/test_timeseries.csv") +df_ip = pd.read_csv( + "/media/ph33r/Data/Project/mllib/GitHub/data/input/test_timeseries.csv") -y_var=["y"] -x_var=["x1", "x2"] +y_var = ["y"] +x_var = ["x1", "x2"] param = {} -param["a_inc"] = 0.015 +param["a_inc"] = 0.05 param["k_fold"] = 5 param["test_perc"] = 0.2 param["n_jobs"] = -1 param["seed"] = 1 -param["l1_range"] = \ - [x*param["a_inc"] for x in range(\ - 1, int(1/param["a_inc"])+1)] - +param["l1_range"] = list(np.round(np.arange(0.0001, 1.01, param["a_inc"]), 2)) + df_ip = create_lag_vars(df_ip, y_var, x_var, "week") # modify create lag function to get lag list @@ -87,20 +89,26 @@ def create_lag_vars(df: pd.DataFrame, x_var = list(df_ip.columns) x_var.remove(y_var[0]) +# Use len? max_epoch = df_ip.index.max() + 1 # For prediction df_pred_data = df_ip[y_var] -df_train = df_ip[df_ip.index <= max_epoch *(1-param["test_perc"])] -df_test = df_ip[df_ip.index > (max_epoch) *(1-param["test_perc"])] +# Use iloc +df_train = df_ip[df_ip.index <= max_epoch * (1-param["test_perc"])] +df_test = df_ip[df_ip.index > (max_epoch) * (1-param["test_perc"])] train_x = df_train[x_var] train_y = df_train[y_var] +# Should it not be df_test? test_x = df_train[x_var] test_y = df_train[y_var] +test_x = df_test[x_var] +test_y = df_test[y_var] + param["k_fold"] = ts_split(n_splits=param["k_fold"]) param["k_fold"] = param["k_fold"].split(X=train_y) @@ -113,7 +121,7 @@ def create_lag_vars(df: pd.DataFrame, cv=param["k_fold"], n_jobs=param["n_jobs"], random_state=param["seed"]) - + mod.fit(train_x, train_y.values.ravel()) opt = {"alpha": mod.l1_ratio_, @@ -128,23 +136,38 @@ def create_lag_vars(df: pd.DataFrame, # Prediction df_predict = df_test.copy(deep=True) -# reset index +df_predict = df_ip.copy(deep=True) + +# reset index df_predict = df_predict.reset_index(drop=True) df_predict = df_predict[["x1", "x2"]] df_predict["y"] = -1 -for i in range(0,len(df_test)): +# Is there a way to improve this? +for i in range(0, len(df_test)): + # for i in range(0, len(df_ip)): df_pred = df_predict[df_predict.index == i].reset_index(drop=True) df_pred = df_pred[["x1", "x2"]] - df_pred_x = pd.DataFrame({"lag_"+str(lag_var[0]):df_pred_data.iloc[len(df_pred_data)-lag_var[0]]}) - for j in range(1,len(lag_var)): - df_tmp = pd.DataFrame({"lag_"+str(lag_var[j]):df_pred_data.iloc[len(df_pred_data)-lag_var[j]]}) + df_pred_x = pd.DataFrame( + {"lag_"+str(lag_var[0]): df_pred_data.iloc[len(df_pred_data)-lag_var[0]]}) + for j in range(1, len(lag_var)): + df_tmp = pd.DataFrame( + {"lag_"+str(lag_var[j]): df_pred_data.iloc[len(df_pred_data)-lag_var[j]]}) df_pred_x = df_pred_x.join(df_tmp) df_pred_x = df_pred_x.reset_index(drop=True) df_pred_x = df_pred_x.join(df_pred) y_hat = model.predict(df_pred_x) df_tmp = pd.DataFrame() df_tmp['y'] = y_hat - df_pred_data=df_pred_data.append(df_tmp).reset_index(drop=True) + df_pred_data = df_pred_data.append(df_tmp).reset_index(drop=True) df_predict["y"][i] = y_hat + +y = list(df_ip["y"]) +y_hat = list(df_predict["y"]) +model_summary = {"rsq": metrics.rsq(y, y_hat), + "mae": metrics.mae(y, y_hat), + "mape": metrics.mape(y, y_hat), + "rmse": metrics.rmse(y, y_hat)} +model_summary["mse"] = model_summary["rmse"] ** 2 +model_summary diff --git a/mllib/lib/model.py b/mllib/lib/model.py index fb04cb4..a8c7a61 100644 --- a/mllib/lib/model.py +++ b/mllib/lib/model.py @@ -17,16 +17,27 @@ """ # pylint: disable=invalid-name -# pylint: disable=R0902,R0903,R0913,R0914 +# pylint: disable=R0902,R0903,R0913,R0914,C0413 from typing import List, Dict +import re +import sys +from inspect import getsourcefile +from os.path import abspath + import pandas as pd import numpy as np from sklearn.linear_model import ElasticNetCV from sklearn.model_selection import train_test_split as split +path = abspath(getsourcefile(lambda: 0)) +path = re.sub(r"(.+\/)(.+.py)", "\\1", path) +sys.path.insert(0, path) + +import metrics # noqa: F841 + # ============================================================================= # --- DO NOT CHANGE ANYTHING FROM HERE # ============================================================================= @@ -133,6 +144,7 @@ def __init__(self, self.y_var = y_var self.x_var = x_var self.strata = strata + self.model_summary = None if param is None: param = {"seed": 1, "a_inc": 0.05, @@ -142,8 +154,9 @@ def __init__(self, self.param = param self.param["l1_range"] = list(np.round(np.arange(0.0001, 1.01, self.param["a_inc"]), - 10)) + 2)) self._fit() + self._compute_metrics() def _fit(self) -> None: """Fit the best GLMNet model.""" @@ -171,6 +184,17 @@ def _fit(self) -> None: self.model = mod self.opt = opt + def _compute_metrics(self): + """Compute commonly used metrics to evaluate the model.""" + y = self.df[self.y_var].iloc[:, 0].values.tolist() + y_hat = list(self.predict(self.df[self.x_var])["y"].values) + model_summary = {"rsq": metrics.rsq(y, y_hat), + "mae": metrics.mae(y, y_hat), + "mape": metrics.mape(y, y_hat), + "rmse": metrics.rmse(y, y_hat)} + model_summary["mse"] = model_summary["rmse"] ** 2 + self.model_summary = model_summary + def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: """Predict y_var/target variable. diff --git a/requirements.txt b/requirements.txt index c5b832f..878016e 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,4 +1,4 @@ -pandas==1.1.3 -Cython==0.29.15 numpy==1.19.5 +Cython==0.29.15 +pandas==1.1.3 scikit_learn==0.24.2 From 554e3a3ffbc890d9bf963e490c75231fa944672f Mon Sep 17 00:00:00 2001 From: Diptesh Date: Mon, 13 Sep 2021 20:43:18 +0530 Subject: [PATCH 024/116] v0.4.0 --- .github/workflows/python.yml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.github/workflows/python.yml b/.github/workflows/python.yml index 99d197b..53fe8c0 100644 --- a/.github/workflows/python.yml +++ b/.github/workflows/python.yml @@ -9,12 +9,14 @@ on: - 'stable' - 'testing' - 'feature*' + - 'bug*' - '!maintenance*' pull_request: branches: - 'stable' - 'testing' - 'feature*' + - 'bug*' - '!maintenance*' jobs: From 46afd58c92ef443ccf13e1fdd4445acdac7019dd Mon Sep 17 00:00:00 2001 From: Diptesh Date: Tue, 14 Sep 2021 23:27:10 +0530 Subject: [PATCH 025/116] Update python.yml --- .github/workflows/python.yml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/.github/workflows/python.yml b/.github/workflows/python.yml index 53fe8c0..5571b99 100644 --- a/.github/workflows/python.yml +++ b/.github/workflows/python.yml @@ -37,12 +37,13 @@ jobs: - name: Install dependencies run: | python -m pip install --upgrade pip - python -m pip install flake8 pytest + python -m pip install flake8 pytest pylint if [ -f requirements.txt ]; then pip install -r requirements.txt; fi - name: Lint with flake8 run: | # stop the build if there are Python syntax errors or undefined names - flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics + # flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics + flake8 . --count --show-source --statistics # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics - name: Test with pytest From 5fbecc45a60b6795278224e6ebea80160f692f00 Mon Sep 17 00:00:00 2001 From: Diptesh Date: Tue, 14 Sep 2021 23:38:14 +0530 Subject: [PATCH 026/116] v0.4.0 --- .github/workflows/python.yml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/.github/workflows/python.yml b/.github/workflows/python.yml index 5571b99..f0a54c1 100644 --- a/.github/workflows/python.yml +++ b/.github/workflows/python.yml @@ -42,8 +42,7 @@ jobs: - name: Lint with flake8 run: | # stop the build if there are Python syntax errors or undefined names - # flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics - flake8 . --count --show-source --statistics + flake8 . --count --extend-ignore=E402 --show-source --statistics # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics - name: Test with pytest From cd5aea0153bb71196a6ac743b6c137dbd04b5102 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Wed, 15 Sep 2021 00:05:34 +0530 Subject: [PATCH 027/116] v0.4.0 --- mllib/__main__.py | 7 +++---- mllib/lib/model.py | 13 +++++++------ 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/mllib/__main__.py b/mllib/__main__.py index c6d583e..2fbd285 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -80,11 +80,10 @@ df_ip = pd.read_csv(path + "input/test_glmnet.csv") glm_mod = GLMNet(df=df_ip, y_var=["y"], - x_var=["x1", "x2", "x3"]) + x_var=["x1", "x3"]) print("\nGLMNet\n") - model_summary = glm_mod.model_summary - for k, v in model_summary.items(): - print(k, v) + for k, v in glm_mod.model_summary.items(): + print(k, str(v).rjust(69 - len(k))) print(elapsed_time("Time", start_t), sep="\n") # --- EOF diff --git a/mllib/lib/model.py b/mllib/lib/model.py index a8c7a61..49cf649 100644 --- a/mllib/lib/model.py +++ b/mllib/lib/model.py @@ -152,7 +152,8 @@ def __init__(self, "n_jobs": -1, "k_fold": 10} self.param = param - self.param["l1_range"] = list(np.round(np.arange(0.0001, 1.01, + self.param["l1_range"] = list(np.round(np.arange(self.param["a_inc"], + 1.01, self.param["a_inc"]), 2)) self._fit() @@ -188,11 +189,11 @@ def _compute_metrics(self): """Compute commonly used metrics to evaluate the model.""" y = self.df[self.y_var].iloc[:, 0].values.tolist() y_hat = list(self.predict(self.df[self.x_var])["y"].values) - model_summary = {"rsq": metrics.rsq(y, y_hat), - "mae": metrics.mae(y, y_hat), - "mape": metrics.mape(y, y_hat), - "rmse": metrics.rmse(y, y_hat)} - model_summary["mse"] = model_summary["rmse"] ** 2 + model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), + "mae": np.round(metrics.mae(y, y_hat), 3), + "mape": np.round(metrics.mape(y, y_hat), 3), + "rmse": np.round(metrics.rmse(y, y_hat), 3)} + model_summary["mse"] = np.round(model_summary["rmse"] ** 2, 3) self.model_summary = model_summary def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: From 657584b0a7bc5e765074ad183e841308474eeb07 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Wed, 15 Sep 2021 14:59:49 +0530 Subject: [PATCH 028/116] v0.4.0 --- .github/workflows/{python.yml => build.yml} | 23 +++++++++++++++------ README.md | 2 +- 2 files changed, 18 insertions(+), 7 deletions(-) rename .github/workflows/{python.yml => build.yml} (75%) diff --git a/.github/workflows/python.yml b/.github/workflows/build.yml similarity index 75% rename from .github/workflows/python.yml rename to .github/workflows/build.yml index f0a54c1..56bcd95 100644 --- a/.github/workflows/python.yml +++ b/.github/workflows/build.yml @@ -1,7 +1,20 @@ -# This workflow will install Python dependencies, run tests and lint with a variety of Python versions -# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions +# ============================================================================= +# Build file +# +# Objective: +# - Install python dependencies +# - Run linter +# - Run tests +# +# Version: 0.1.0 +# +# Author: Diptesh +# +# Date: May 03, 2020 +# +# ============================================================================= -name: Python +name: Build on: push: @@ -9,14 +22,12 @@ on: - 'stable' - 'testing' - 'feature*' - - 'bug*' - '!maintenance*' pull_request: branches: - 'stable' - 'testing' - 'feature*' - - 'bug*' - '!maintenance*' jobs: @@ -37,7 +48,7 @@ jobs: - name: Install dependencies run: | python -m pip install --upgrade pip - python -m pip install flake8 pytest pylint + python -m pip install flake8 pytest if [ -f requirements.txt ]; then pip install -r requirements.txt; fi - name: Lint with flake8 run: | diff --git a/README.md b/README.md index f4fd7de..3b7789a 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -[![Python](https://github.com/bdiptesh/mllib/actions/workflows/python.yml/badge.svg)](https://github.com/bdiptesh/mllib/actions/workflows/python.yml) +[![Build](../../actions/workflows/build.yml/badge.svg)](../../actions/workflows/build.yml) [![pylint Score](https://mperlet.github.io/pybadge/badges/9.5.svg)](./log/pylint/) [![Coverage score](https://img.shields.io/badge/coverage-100%25-dagreen.svg)](./log/cov.out) [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](./LICENSE) From d72ef39f5e91bc23476aab8644a15928add41612 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Wed, 15 Sep 2021 15:01:14 +0530 Subject: [PATCH 029/116] v0.4.0 --- .github/workflows/build.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 56bcd95..1b3369a 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -22,6 +22,7 @@ on: - 'stable' - 'testing' - 'feature*' + - 'dev*' - '!maintenance*' pull_request: branches: From 00c9b1e63543d0f50a2aa6dcaaf7dbdcda3f0741 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Wed, 15 Sep 2021 15:05:54 +0530 Subject: [PATCH 030/116] v0.4.0 --- .github/workflows/build.yml | 1 - 1 file changed, 1 deletion(-) diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 1b3369a..56bcd95 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -22,7 +22,6 @@ on: - 'stable' - 'testing' - 'feature*' - - 'dev*' - '!maintenance*' pull_request: branches: From 97316946bc197655a8b063a76a9dfcf18ccaa3ad Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Wed, 15 Sep 2021 15:19:45 +0530 Subject: [PATCH 031/116] v0.4.0 --- .github/PULL_REQUEST_TEMPLATE.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md index 6e3bc20..9652cab 100644 --- a/.github/PULL_REQUEST_TEMPLATE.md +++ b/.github/PULL_REQUEST_TEMPLATE.md @@ -19,7 +19,7 @@ Please select option(s) that are relevant. Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce. Please also list any relevant details for your test configuration -- [ ] Unit tests in the code +- [ ] Unit/Integration tests in the code - [ ] Code runs locally without any warnings/errors with test files ## Checklist: From 72bce4e072e1361369b885cc056d3403cfb5f743 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Fri, 17 Sep 2021 10:56:53 +0530 Subject: [PATCH 032/116] v0.4.0 --- .github/CONTRIBUTING.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/CONTRIBUTING.md b/.github/CONTRIBUTING.md index df5a6ad..fd35775 100644 --- a/.github/CONTRIBUTING.md +++ b/.github/CONTRIBUTING.md @@ -24,7 +24,7 @@ standards. rating of 10/10. - Ensure to profile your modules and move any bottlenecks to a low latency system/module. - Ensure to add unit tests with corner cases and achieve 100% code coverage. -- Limit the use of third party libraries. If you do have to use them, ensure that it exists in [bigRED environment](https://wiki.target.com/tgtwiki/index.php/Portal:BigRED/_Software_Libraries). +- Limit the use of third party libraries. If you do have to use them, ensure that it exists in production environment. - Follow [pull request](PULL_REQUEST_TEMPLATE.md) guidelines. ### Guidelines From 5a72566ba7e57e88441c9c0eb3d4e409afc2e35b Mon Sep 17 00:00:00 2001 From: MadhuTangudu Date: Fri, 17 Sep 2021 11:07:42 +0530 Subject: [PATCH 033/116] v0.4.0 changelog: - glmnet_ts class added to model.py - glmnet_ts.py file removed --- mllib/lib/glmnet_ts.py | 173 --------------------------------- mllib/lib/model.py | 215 ++++++++++++++++++++++++++++++++++++++--- 2 files changed, 203 insertions(+), 185 deletions(-) delete mode 100644 mllib/lib/glmnet_ts.py diff --git a/mllib/lib/glmnet_ts.py b/mllib/lib/glmnet_ts.py deleted file mode 100644 index b3b57ac..0000000 --- a/mllib/lib/glmnet_ts.py +++ /dev/null @@ -1,173 +0,0 @@ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- -""" -Created on Thu Sep 9 15:25:51 2021 - -@author: madhu -""" - -from typing import List, Dict - -import pandas as pd -import numpy as np - -from sklearn.linear_model import ElasticNetCV -from sklearn.model_selection import train_test_split as split -from sklearn.model_selection import TimeSeriesSplit as ts_split - -import metrics - - -def create_lag_vars(df: pd.DataFrame, - y_var: List[str], - x_var: List[str], - n_interval: str = None) -> pd.DataFrame: - """Create lag variables for time series data. - - Parameters - ---------- - df : pd.DataFrame - - Pandas dataframe containing `y_var`, `x_var` and `n_interval` - (if provided). - - y_var : List[str] - - Dependant variable. - - x_var : List[str] - Independant variables. - - n_interval : str, optional - - Column name of the time interval variable (the default is None). - - Returns - ------- - pd.DataFrame - - Pandas dataframe containing `y_var`, lag variables (`lag_xx`) and - `x_var`. - - """ - if n_interval is None: - y_lag = df[y_var].reset_index(drop=True) - else: - y_lag = df.sort_values(by=n_interval) - y_lag = y_lag[y_var].reset_index(drop=True) - time_int = len(y_lag) - lag_interval = [] - while time_int > 8: - time_int = int(np.floor(time_int/2)) - lag_interval.extend([time_int]) - lag_interval.extend([4, 3, 2, 1]) - for lag in lag_interval: - y_lag.loc[:, "lag_" + str(lag)] = y_lag["y"].shift(lag) - y_lag = y_lag.join(df[x_var]) - op = y_lag.dropna().reset_index(drop=True) - return op - - -df_ip = pd.read_csv( - "/media/ph33r/Data/Project/mllib/GitHub/data/input/test_timeseries.csv") - -y_var = ["y"] -x_var = ["x1", "x2"] - -param = {} -param["a_inc"] = 0.05 -param["k_fold"] = 5 -param["test_perc"] = 0.2 -param["n_jobs"] = -1 -param["seed"] = 1 -param["l1_range"] = list(np.round(np.arange(0.0001, 1.01, param["a_inc"]), 2)) - - -df_ip = create_lag_vars(df_ip, y_var, x_var, "week") -# modify create lag function to get lag list -lag_var = [52, 26, 13, 6, 4, 3, 2, 1] -x_var = list(df_ip.columns) -x_var.remove(y_var[0]) - -# Use len? -max_epoch = df_ip.index.max() + 1 - -# For prediction -df_pred_data = df_ip[y_var] - -# Use iloc -df_train = df_ip[df_ip.index <= max_epoch * (1-param["test_perc"])] -df_test = df_ip[df_ip.index > (max_epoch) * (1-param["test_perc"])] - -train_x = df_train[x_var] -train_y = df_train[y_var] - -# Should it not be df_test? -test_x = df_train[x_var] -test_y = df_train[y_var] - -test_x = df_test[x_var] -test_y = df_test[y_var] - -param["k_fold"] = ts_split(n_splits=param["k_fold"]) -param["k_fold"] = param["k_fold"].split(X=train_y) - - -mod = ElasticNetCV(l1_ratio=param["l1_range"], - fit_intercept=True, - alphas=[1e-5, 1e-4, 1e-3, 1e-2, 1e-1, - 1.0, 10.0, 100.0], - normalize=True, - cv=param["k_fold"], - n_jobs=param["n_jobs"], - random_state=param["seed"]) - -mod.fit(train_x, train_y.values.ravel()) - -opt = {"alpha": mod.l1_ratio_, - "lambda": mod.alpha_, - "intercept": mod.intercept_, - "coef": mod.coef_, - "train_v": mod.score(train_x, train_y), - "test_v": mod.score(test_x, test_y)} -model = mod -opt = opt - - -# Prediction -df_predict = df_test.copy(deep=True) -df_predict = df_ip.copy(deep=True) - -# reset index -df_predict = df_predict.reset_index(drop=True) -df_predict = df_predict[["x1", "x2"]] -df_predict["y"] = -1 - -# Is there a way to improve this? -for i in range(0, len(df_test)): - # for i in range(0, len(df_ip)): - df_pred = df_predict[df_predict.index == i].reset_index(drop=True) - df_pred = df_pred[["x1", "x2"]] - df_pred_x = pd.DataFrame( - {"lag_"+str(lag_var[0]): df_pred_data.iloc[len(df_pred_data)-lag_var[0]]}) - for j in range(1, len(lag_var)): - df_tmp = pd.DataFrame( - {"lag_"+str(lag_var[j]): df_pred_data.iloc[len(df_pred_data)-lag_var[j]]}) - df_pred_x = df_pred_x.join(df_tmp) - df_pred_x = df_pred_x.reset_index(drop=True) - df_pred_x = df_pred_x.join(df_pred) - y_hat = model.predict(df_pred_x) - df_tmp = pd.DataFrame() - df_tmp['y'] = y_hat - df_pred_data = df_pred_data.append(df_tmp).reset_index(drop=True) - df_predict["y"][i] = y_hat - - -y = list(df_ip["y"]) -y_hat = list(df_predict["y"]) -model_summary = {"rsq": metrics.rsq(y, y_hat), - "mae": metrics.mae(y, y_hat), - "mape": metrics.mape(y, y_hat), - "rmse": metrics.rmse(y, y_hat)} -model_summary["mse"] = model_summary["rmse"] ** 2 -model_summary diff --git a/mllib/lib/model.py b/mllib/lib/model.py index 49cf649..b9767f8 100644 --- a/mllib/lib/model.py +++ b/mllib/lib/model.py @@ -31,6 +31,7 @@ from sklearn.linear_model import ElasticNetCV from sklearn.model_selection import train_test_split as split +from sklearn.model_selection import TimeSeriesSplit as ts_split path = abspath(getsourcefile(lambda: 0)) path = re.sub(r"(.+\/)(.+.py)", "\\1", path) @@ -46,6 +47,7 @@ def create_lag_vars(df: pd.DataFrame, y_var: List[str], x_var: List[str], + lst_lag: List[int] = None, n_interval: str = None) -> pd.DataFrame: """Create lag variables for time series data. @@ -61,9 +63,12 @@ def create_lag_vars(df: pd.DataFrame, Dependant variable. x_var : List[str] - Independant variables. + lst_lag : List[int] + + Lag values list (the default is None) + n_interval : str, optional Column name of the time interval variable (the default is None). @@ -77,21 +82,29 @@ def create_lag_vars(df: pd.DataFrame, """ if n_interval is None: - y_lag = df[y_var].reset_index(drop=True) + df = df.reset_index(drop=True) + elif len(df) != (df[n_interval].max() - df[n_interval].min() + 1): + sys.exit("Missing/duplicate time instance found in input data") else: - y_lag = df.sort_values(by=n_interval) - y_lag = y_lag[y_var].reset_index(drop=True) + df = df.sort_values(by=n_interval) + df = df.reset_index(drop=True) + y_lag = df[y_var].copy(deep=True) time_int = len(y_lag) - lag_interval = [] - while time_int > 8: - time_int = int(np.floor(time_int/2)) - lag_interval.extend([time_int]) - lag_interval.extend([4, 3, 2, 1]) - for lag in lag_interval: + if lst_lag is None: + lst_lag = [] + while time_int > 8: + time_int = int(np.floor(time_int/2)) + lst_lag.extend([time_int]) + lst_lag.extend([4, 3, 2, 1]) + for lag in lst_lag: y_lag.loc[:, "lag_" + str(lag)] = y_lag["y"].shift(lag) y_lag = y_lag.join(df[x_var]) - op = y_lag.dropna().reset_index(drop=True) - return op + if n_interval: + y_lag = y_lag.join(df[n_interval]) + y_lag = y_lag.set_index(n_interval) + op = y_lag.dropna() + return lst_lag, op + class GLMNet(): @@ -216,3 +229,181 @@ def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: df_predict = df_predict.copy() df_predict["y"] = y_hat return df_predict + +class GLMNet_ts(): + """GLMNet time series module. + + Objective: + - Build + `GLMNet `_ + model using optimal alpha and lambda + + Parameters + ---------- + df : pd.DataFrame + + Pandas dataframe containing `y_var` and `x_var` variables. + + y_var : List[str] + + Dependant variable. + + x_var : List[str] + + Independant variables. + + lst_lag : List[int] + + Lag values list (the default is None) + + n_interval : str, optional + + Column name of the time interval variable (the default is None). + + + param : Dict, optional + + GLMNet parameters (the default is None). + In case of None, the parameters will default to:: + + seed: 1 + a_inc: 0.05 + test_perc: 0.25 + n_jobs: -1 + k_fold: 10 + + """ + + def __init__(self, + df: pd.DataFrame, + y_var: List[str], + x_var: List[str], + lst_lag: List[int] = None, + n_interval: str = None, + param: Dict = None): + """Initialize variables for module ``GLMNet``.""" + self.df = df.sort_values(by=n_interval)[y_var + x_var] + self.y_var = y_var + self.x_var = x_var + self.lst_lag = lst_lag + self.n_interval = n_interval + self.model_summary = None + self.max_epoch = None + if param is None: + param = {"seed": 1, + "a_inc": 0.05, + "test_perc": 0.25, + "n_jobs": -1, + "k_fold": 10} + self.param = param + self.param["l1_range"] = list(np.round(np.arange(self.param["a_inc"], + 1.01, + self.param["a_inc"]), + 2)) + self._fit() + self._compute_metrics() + + def _fit(self) -> None: + """Fit the best GLMNet time series model.""" + if self.n_interval is None: + self.max_epoch = len(self.df) - 1 + else: + self.max_epoch = self.df[self.n_interval].max() + self.lag_var, df_ip = create_lag_vars(self.df, + self.y_var, + self.x_var, + self.lst_lag, + self.n_interval) + self.x_var = list(self.df.columns) + self.x_var.remove(self.y_var[0]) + df_train = df_ip.iloc[0:int(len(df_ip) * (1-self.param["test_perc"]))] + df_test = df_ip.iloc[int(len(df_ip) * (1-self.param["test_perc"])):] + train_x = df_train[self.x_var] + train_y = df_train[self.y_var] + test_x = df_test[self.x_var] + test_y = df_test[self.y_var] + self.param["k_fold"] = ts_split(n_splits=self.param["k_fold"]) + self.param["k_fold"] = self.param["k_fold"].split(X=train_y) + mod = ElasticNetCV(l1_ratio=self.param["l1_range"], + fit_intercept=True, + alphas=[1e-5, 1e-4, 1e-3, 1e-2, 1e-1, + 1.0, 10.0, 100.0], + normalize=True, + cv=self.param["k_fold"], + n_jobs=self.param["n_jobs"], + random_state=self.param["seed"]) + mod.fit(train_x, train_y.values.ravel()) + opt = {"alpha": mod.l1_ratio_, + "lambda": mod.alpha_, + "intercept": mod.intercept_, + "coef": mod.coef_, + "train_v": mod.score(train_x, train_y), + "test_v": mod.score(test_x, test_y)} + self.model = mod + self.opt = opt + + def _compute_metrics(self): + """Compute commonly used metrics to evaluate the model.""" + y = self.df[self.y_var].iloc[:, 0].values.tolist() + y_hat = list(self.predict(self.df[self.x_var])["y"].values) + model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), + "mae": np.round(metrics.mae(y, y_hat), 3), + "mape": np.round(metrics.mape(y, y_hat), 3), + "rmse": np.round(metrics.rmse(y, y_hat), 3)} + model_summary["mse"] = np.round(model_summary["rmse"] ** 2, 3) + self.model_summary = model_summary + + def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: + """Predict y_var/target variable. + + Parameters + ---------- + df_predict : pd.DataFrame + + Pandas dataframe containing `x_var`. + + Returns + ------- + pd.DataFrame + + Pandas dataframe containing predicted `y_var` and `x_var`. + + """ + if self.n_interval is None: + df_predict = df_predict.reset_index(drop=True) + df_predict = \ + df_predict.set_index(df_predict.index+self.max_epoch+1) + elif len(df_predict) != (df_predict[self.n_interval].max() \ + - df_predict[self.n_interval].min() + 1) \ + or df_predict[self.n_interval].min() \ + > self.max_epoch+1: + sys.exit("Missing time instance found in input data") + else: + df_ip = self.df[self.df[self.n_interval] \ + <= df_predict[self.n_interval].min()] + df_predict = df_predict.sort_values(by=self.n_interval) + df_predict = df_predict.set_index(self.n_interval) + df_predict = df_predict[self.x_var] + df_predict["y"] = -1 + for i in range(0, len(df_predict)): + # for i in range(0, len(df_ip)): + df_pred = pd.DataFrame(df_predict.iloc[i]) + df_pred = df_pred.T # Transpose + period_val = df_pred.index + df_pred = df_pred[self.x_var].reset_index(drop=True) + df_pred_x = pd.DataFrame( + {"lag_"+str(self.lst_lag[0]): df_ip.iloc[len(df_ip)\ + -self.lst_lag[0]]}) + for j in range(1, len(self.lst_lag)): + df_tmp = pd.DataFrame( + {"lag_"+str(self.lst_lag[j]): \ + df_ip.iloc[len(df_ip)-self.lst_lag[j]]}) + df_pred_x = df_pred_x.join(df_tmp) + df_pred_x = df_pred_x.reset_index(drop=True) + df_pred_x = df_pred_x.join(df_pred) + y_hat = self.model.predict(df_pred_x) + df_tmp = pd.DataFrame() + df_tmp['y'] = y_hat + df_ip = df_ip.append(df_tmp).reset_index(drop=True) + df_predict.loc[period_val, "y"] = y_hat + return df_predict From 4398d8a1e37055a869c0e34d89fcfecc66216482 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Fri, 17 Sep 2021 11:11:06 +0530 Subject: [PATCH 034/116] v0.4.0 changelog: - changed log to logs - removed redundant links in contribution guidelines --- README.md | 6 +- bin/run_tests.sh | 16 +++--- log/pylint/lib-glmnet_ts-py.out | 55 ------------------- {log => logs}/cov.out | 4 +- {log => logs}/pip.out | 0 {log => logs}/pylint/lib-__init__-py.out | 0 {log => logs}/pylint/lib-cfg-py.out | 0 {log => logs}/pylint/lib-cluster-py.out | 0 {log => logs}/pylint/lib-glmnet-py.out | 0 logs/pylint/lib-glmnet_ts-py.out | 45 +++++++++++++++ {log => logs}/pylint/lib-model-py.out | 8 +-- {log => logs}/pylint/lib-utils-py.out | 0 {log => logs}/pylint/metrics-setup-py.out | 0 {log => logs}/pylint/mllib-__init__-py.out | 0 {log => logs}/pylint/mllib-__main__-py.out | 0 {log => logs}/pylint/pylint.out | 0 {log => logs}/pylint/tests-__init__-py.out | 0 .../pylint/tests-test_cluster-py.out | 0 .../pylint/tests-test_metrics-py.out | 0 {log => logs}/pylint/tests-test_model-py.out | 0 requirements.txt | 2 +- 21 files changed, 63 insertions(+), 73 deletions(-) delete mode 100644 log/pylint/lib-glmnet_ts-py.out rename {log => logs}/cov.out (94%) rename {log => logs}/pip.out (100%) rename {log => logs}/pylint/lib-__init__-py.out (100%) rename {log => logs}/pylint/lib-cfg-py.out (100%) rename {log => logs}/pylint/lib-cluster-py.out (100%) rename {log => logs}/pylint/lib-glmnet-py.out (100%) create mode 100644 logs/pylint/lib-glmnet_ts-py.out rename {log => logs}/pylint/lib-model-py.out (78%) rename {log => logs}/pylint/lib-utils-py.out (100%) rename {log => logs}/pylint/metrics-setup-py.out (100%) rename {log => logs}/pylint/mllib-__init__-py.out (100%) rename {log => logs}/pylint/mllib-__main__-py.out (100%) rename {log => logs}/pylint/pylint.out (100%) rename {log => logs}/pylint/tests-__init__-py.out (100%) rename {log => logs}/pylint/tests-test_cluster-py.out (100%) rename {log => logs}/pylint/tests-test_metrics-py.out (100%) rename {log => logs}/pylint/tests-test_model-py.out (100%) diff --git a/README.md b/README.md index 3b7789a..685a5a6 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ [![Build](../../actions/workflows/build.yml/badge.svg)](../../actions/workflows/build.yml) -[![pylint Score](https://mperlet.github.io/pybadge/badges/9.5.svg)](./log/pylint/) -[![Coverage score](https://img.shields.io/badge/coverage-100%25-dagreen.svg)](./log/cov.out) +[![pylint Score](https://mperlet.github.io/pybadge/badges/9.6.svg)](./logs/pylint/) +[![Coverage score](https://img.shields.io/badge/coverage-100%25-dagreen.svg)](./logs/cov.out) [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](./LICENSE) *** @@ -75,7 +75,7 @@ Available options: -r code rating. ``` The pylint ratings for each python script can be found at -[log/pylint/](./log/pylint/) +[logs/pylint/](./logs/pylint/) *** ## Important links diff --git a/bin/run_tests.sh b/bin/run_tests.sh index 6ca921f..ff63c0e 100644 --- a/bin/run_tests.sh +++ b/bin/run_tests.sh @@ -33,14 +33,14 @@ if [[ $module == "-a" || $module == "-u" ]] then printf "\nRunning unit & integration tests...\n\n" coverage run -m unittest discover -v -s $test_dir -p "test_*.py" - coverage report -m --omit="*/tests/test_*,*/opt/spark-*" > "$proj_dir/log/cov.out" - COV_SCORE=`grep "TOTAL" $proj_dir/log/cov.out | tail -1 | awk '{ printf("%d", $4) }'` + coverage report -m --omit="*/tests/test_*,*/opt/spark-*" > "$proj_dir/logs/cov.out" + COV_SCORE=`grep "TOTAL" $proj_dir/logs/cov.out | tail -1 | awk '{ printf("%d", $4) }'` COV_COLOR="red" if [[ $COV_SCORE == "100" ]] then COV_COLOR="dagreen" fi - sed -i "3s/.*/\[\!\[Coverage score\]\(\https\:\/\/img\.shields\.io\/badge\/coverage\-$COV_SCORE\%25\-$COV_COLOR.svg\)\]\(\.\/log\/cov\.out\)/" "$proj_dir/README.md" + sed -i "3s/.*/\[\!\[Coverage score\]\(\https\:\/\/img\.shields\.io\/badge\/coverage\-$COV_SCORE\%25\-$COV_COLOR.svg\)\]\(\.\/logs\/cov\.out\)/" "$proj_dir/README.md" printf "=%.0s" {1..70} printf "\n" fi @@ -57,11 +57,11 @@ then printf "%-67s %s" "$file" file_dir=$(sed -E 's/(.+\/)(.+\.py)/\1/' <<< $i) cd "$file_dir" - pylint "$i" > "$proj_dir/log/pylint/pylint.out" - PYLINT_SCORE=`grep "Your code has been rated" $proj_dir/log/pylint/pylint.out | cut -d" " -f7 | cut -d"." -f1` + pylint "$i" > "$proj_dir/logs/pylint/pylint.out" + PYLINT_SCORE=`grep "Your code has been rated" $proj_dir/logs/pylint/pylint.out | cut -d" " -f7 | cut -d"." -f1` file_name=$(sed -E 's/(\/)/-/' <<< $file) file_name=$(sed -E 's/(\.)/-/' <<< $file_name) - cp "$proj_dir/log/pylint/pylint.out" "$proj_dir/log/pylint/$file_name.out" + cp "$proj_dir/logs/pylint/pylint.out" "$proj_dir/logs/pylint/$file_name.out" score=$((score + PYLINT_SCORE)) cnt=$((cnt + 1)) printf "$PYLINT_SCORE\n" @@ -70,11 +70,11 @@ then tot_score=$(echo "scale=1; $score/$cnt" | bc) printf "\nTotal score: $tot_score\n" # Add pylint badge to README.md - sed -i "2s/.*/\[\!\[pylint Score\]\(https\:\/\/mperlet\.github\.io\/pybadge\/badges\/$tot_score.svg\)\]\(\.\/log\/pylint\/\)/" "$proj_dir/README.md" + sed -i "2s/.*/\[\!\[pylint Score\]\(https\:\/\/mperlet\.github\.io\/pybadge\/badges\/$tot_score.svg\)\]\(\.\/logs\/pylint\/\)/" "$proj_dir/README.md" printf "=%.0s" {1..70} printf "\n" fi -pipreqs --force $proj_dir &> $proj_dir/log/pip.out +pipreqs --force $proj_dir &> $proj_dir/logs/pip.out exit 0 diff --git a/log/pylint/lib-glmnet_ts-py.out b/log/pylint/lib-glmnet_ts-py.out deleted file mode 100644 index c86d78e..0000000 --- a/log/pylint/lib-glmnet_ts-py.out +++ /dev/null @@ -1,55 +0,0 @@ -************* Module mllib.lib.glmnet_ts -glmnet_ts.py:70:5: C0326: Exactly one space required around assignment -y_var=["y"] - ^ (bad-whitespace) -glmnet_ts.py:71:5: C0326: Exactly one space required around assignment -x_var=["x1", "x2"] - ^ (bad-whitespace) -glmnet_ts.py:82:0: C0303: Trailing whitespace (trailing-whitespace) -glmnet_ts.py:116:0: C0303: Trailing whitespace (trailing-whitespace) -glmnet_ts.py:131:13: C0303: Trailing whitespace (trailing-whitespace) -glmnet_ts.py:136:16: C0326: Exactly one space required after comma -for i in range(0,len(df_test)): - ^ (bad-whitespace) -glmnet_ts.py:139:0: C0301: Line too long (102/100) (line-too-long) -glmnet_ts.py:140:20: C0326: Exactly one space required after comma - for j in range(1,len(lag_var)): - ^ (bad-whitespace) -glmnet_ts.py:141:0: C0301: Line too long (103/100) (line-too-long) -glmnet_ts.py:148:16: C0326: Exactly one space required around assignment - df_pred_data=df_pred_data.append(df_tmp).reset_index(drop=True) - ^ (bad-whitespace) -glmnet_ts.py:150:0: C0305: Trailing newlines (trailing-newlines) -glmnet_ts.py:19:20: W0621: Redefining name 'y_var' from outer scope (line 70) (redefined-outer-name) -glmnet_ts.py:20:20: W0621: Redefining name 'x_var' from outer scope (line 71) (redefined-outer-name) -glmnet_ts.py:18:0: C0103: Argument name "df" doesn't conform to snake_case naming style (invalid-name) -glmnet_ts.py:64:4: C0103: Variable name "op" doesn't conform to snake_case naming style (invalid-name) -glmnet_ts.py:68:0: C0103: Constant name "df_ip" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:70:0: C0103: Constant name "y_var" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:71:0: C0103: Constant name "x_var" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:73:0: C0103: Constant name "param" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:84:0: C0103: Constant name "df_ip" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:86:0: C0103: Constant name "lag_var" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:87:0: C0103: Constant name "x_var" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:90:0: C0103: Constant name "max_epoch" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:93:0: C0103: Constant name "df_pred_data" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:95:0: C0103: Constant name "df_train" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:96:0: C0103: Constant name "df_test" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:98:0: C0103: Constant name "train_x" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:99:0: C0103: Constant name "train_y" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:101:0: C0103: Constant name "test_x" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:102:0: C0103: Constant name "test_y" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:108:0: C0103: Constant name "mod" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:119:0: C0103: Constant name "opt" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:125:0: C0103: Constant name "model" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:126:0: W0127: Assigning the same variable 'opt' to itself (self-assigning-variable) -glmnet_ts.py:126:0: C0103: Constant name "opt" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:130:0: C0103: Constant name "df_predict" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:132:0: C0103: Constant name "df_predict" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:133:0: C0103: Constant name "df_predict" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:9:0: W0611: Unused Dict imported from typing (unused-import) -glmnet_ts.py:15:0: W0611: Unused train_test_split imported from sklearn.model_selection as split (unused-import) - ------------------------------------------------------------------- -Your code has been rated at 4.20/10 (previous run: 4.20/10, +0.00) - diff --git a/log/cov.out b/logs/cov.out similarity index 94% rename from log/cov.out rename to logs/cov.out index 5995bfe..2023a09 100644 --- a/log/cov.out +++ b/logs/cov.out @@ -3,6 +3,6 @@ Name Stmts Miss Cov /media/ph33r/Data/Project/mllib/GitHub/mllib/__init__.py 7 0 100% /media/ph33r/Data/Project/mllib/GitHub/mllib/lib/__init__.py 7 0 100% /media/ph33r/Data/Project/mllib/GitHub/mllib/lib/cluster.py 103 0 100% -/media/ph33r/Data/Project/mllib/GitHub/mllib/lib/model.py 60 0 100% +/media/ph33r/Data/Project/mllib/GitHub/mllib/lib/model.py 59 0 100% -------------------------------------------------------------------------------------------- -TOTAL 177 0 100% +TOTAL 176 0 100% diff --git a/log/pip.out b/logs/pip.out similarity index 100% rename from log/pip.out rename to logs/pip.out diff --git a/log/pylint/lib-__init__-py.out b/logs/pylint/lib-__init__-py.out similarity index 100% rename from log/pylint/lib-__init__-py.out rename to logs/pylint/lib-__init__-py.out diff --git a/log/pylint/lib-cfg-py.out b/logs/pylint/lib-cfg-py.out similarity index 100% rename from log/pylint/lib-cfg-py.out rename to logs/pylint/lib-cfg-py.out diff --git a/log/pylint/lib-cluster-py.out b/logs/pylint/lib-cluster-py.out similarity index 100% rename from log/pylint/lib-cluster-py.out rename to logs/pylint/lib-cluster-py.out diff --git a/log/pylint/lib-glmnet-py.out b/logs/pylint/lib-glmnet-py.out similarity index 100% rename from log/pylint/lib-glmnet-py.out rename to logs/pylint/lib-glmnet-py.out diff --git a/logs/pylint/lib-glmnet_ts-py.out b/logs/pylint/lib-glmnet_ts-py.out new file mode 100644 index 0000000..3ecdf82 --- /dev/null +++ b/logs/pylint/lib-glmnet_ts-py.out @@ -0,0 +1,45 @@ +************* Module mllib.lib.glmnet_ts +glmnet_ts.py:22:20: W0621: Redefining name 'y_var' from outer scope (line 74) (redefined-outer-name) +glmnet_ts.py:23:20: W0621: Redefining name 'x_var' from outer scope (line 75) (redefined-outer-name) +glmnet_ts.py:21:0: C0103: Argument name "df" doesn't conform to snake_case naming style (invalid-name) +glmnet_ts.py:67:4: C0103: Variable name "op" doesn't conform to snake_case naming style (invalid-name) +glmnet_ts.py:71:0: C0103: Constant name "df_ip" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:74:0: C0103: Constant name "y_var" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:75:0: C0103: Constant name "x_var" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:77:0: C0103: Constant name "param" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:86:0: C0103: Constant name "df_ip" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:88:0: C0103: Constant name "lag_var" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:89:0: C0103: Constant name "x_var" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:93:0: C0103: Constant name "max_epoch" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:96:0: C0103: Constant name "df_pred_data" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:99:0: C0103: Constant name "df_train" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:100:0: C0103: Constant name "df_test" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:102:0: C0103: Constant name "train_x" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:103:0: C0103: Constant name "train_y" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:106:0: C0103: Constant name "test_x" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:107:0: C0103: Constant name "test_y" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:109:0: C0103: Constant name "test_x" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:110:0: C0103: Constant name "test_y" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:116:0: C0103: Constant name "mod" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:127:0: C0103: Constant name "opt" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:133:0: C0103: Constant name "model" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:134:0: W0127: Assigning the same variable 'opt' to itself (self-assigning-variable) +glmnet_ts.py:134:0: C0103: Constant name "opt" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:138:0: C0103: Constant name "df_predict" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:139:0: C0103: Constant name "df_predict" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:142:0: C0103: Constant name "df_predict" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:143:0: C0103: Constant name "df_predict" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:166:0: C0103: Constant name "y" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:167:0: C0103: Constant name "y_hat" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:168:0: C0103: Constant name "model_summary" doesn't conform to UPPER_CASE naming style (invalid-name) +glmnet_ts.py:168:24: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +glmnet_ts.py:169:24: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +glmnet_ts.py:170:25: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +glmnet_ts.py:171:25: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +glmnet_ts.py:173:0: W0104: Statement seems to have no effect (pointless-statement) +glmnet_ts.py:9:0: W0611: Unused Dict imported from typing (unused-import) +glmnet_ts.py:15:0: W0611: Unused train_test_split imported from sklearn.model_selection as split (unused-import) + +------------------------------------------------------------------ +Your code has been rated at 5.38/10 (previous run: 5.38/10, +0.00) + diff --git a/log/pylint/lib-model-py.out b/logs/pylint/lib-model-py.out similarity index 78% rename from log/pylint/lib-model-py.out rename to logs/pylint/lib-model-py.out index 436caf9..9727bb7 100644 --- a/log/pylint/lib-model-py.out +++ b/logs/pylint/lib-model-py.out @@ -1,8 +1,8 @@ ************* Module mllib.lib.model -model.py:191:32: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -model.py:192:32: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -model.py:193:33: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -model.py:194:33: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:190:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:191:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:192:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:193:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/log/pylint/lib-utils-py.out b/logs/pylint/lib-utils-py.out similarity index 100% rename from log/pylint/lib-utils-py.out rename to logs/pylint/lib-utils-py.out diff --git a/log/pylint/metrics-setup-py.out b/logs/pylint/metrics-setup-py.out similarity index 100% rename from log/pylint/metrics-setup-py.out rename to logs/pylint/metrics-setup-py.out diff --git a/log/pylint/mllib-__init__-py.out b/logs/pylint/mllib-__init__-py.out similarity index 100% rename from log/pylint/mllib-__init__-py.out rename to logs/pylint/mllib-__init__-py.out diff --git a/log/pylint/mllib-__main__-py.out b/logs/pylint/mllib-__main__-py.out similarity index 100% rename from log/pylint/mllib-__main__-py.out rename to logs/pylint/mllib-__main__-py.out diff --git a/log/pylint/pylint.out b/logs/pylint/pylint.out similarity index 100% rename from log/pylint/pylint.out rename to logs/pylint/pylint.out diff --git a/log/pylint/tests-__init__-py.out b/logs/pylint/tests-__init__-py.out similarity index 100% rename from log/pylint/tests-__init__-py.out rename to logs/pylint/tests-__init__-py.out diff --git a/log/pylint/tests-test_cluster-py.out b/logs/pylint/tests-test_cluster-py.out similarity index 100% rename from log/pylint/tests-test_cluster-py.out rename to logs/pylint/tests-test_cluster-py.out diff --git a/log/pylint/tests-test_metrics-py.out b/logs/pylint/tests-test_metrics-py.out similarity index 100% rename from log/pylint/tests-test_metrics-py.out rename to logs/pylint/tests-test_metrics-py.out diff --git a/log/pylint/tests-test_model-py.out b/logs/pylint/tests-test_model-py.out similarity index 100% rename from log/pylint/tests-test_model-py.out rename to logs/pylint/tests-test_model-py.out diff --git a/requirements.txt b/requirements.txt index 878016e..327fb8a 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,4 +1,4 @@ numpy==1.19.5 -Cython==0.29.15 pandas==1.1.3 +Cython==0.29.15 scikit_learn==0.24.2 From 67db07ca7bd1f1d76007c2642124f68de94d1434 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Fri, 17 Sep 2021 11:24:41 +0530 Subject: [PATCH 035/116] v0.4.0 changelog: - Change unit tests to match new outputs --- README.md | 4 ++-- logs/cov.out | 4 ++-- logs/pylint/lib-model-py.out | 12 ++++++++---- mllib/lib/model.py | 4 ++-- requirements.txt | 2 +- tests/test_model.py | 16 +++++++++------- 6 files changed, 24 insertions(+), 18 deletions(-) diff --git a/README.md b/README.md index 685a5a6..80fe418 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ [![Build](../../actions/workflows/build.yml/badge.svg)](../../actions/workflows/build.yml) -[![pylint Score](https://mperlet.github.io/pybadge/badges/9.6.svg)](./logs/pylint/) -[![Coverage score](https://img.shields.io/badge/coverage-100%25-dagreen.svg)](./logs/cov.out) +[![pylint Score](https://mperlet.github.io/pybadge/badges/10.0.svg)](./logs/pylint/) +[![Coverage score](https://img.shields.io/badge/coverage-74%25-red.svg)](./logs/cov.out) [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](./LICENSE) *** diff --git a/logs/cov.out b/logs/cov.out index 2023a09..27f2c36 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -3,6 +3,6 @@ Name Stmts Miss Cov /media/ph33r/Data/Project/mllib/GitHub/mllib/__init__.py 7 0 100% /media/ph33r/Data/Project/mllib/GitHub/mllib/lib/__init__.py 7 0 100% /media/ph33r/Data/Project/mllib/GitHub/mllib/lib/cluster.py 103 0 100% -/media/ph33r/Data/Project/mllib/GitHub/mllib/lib/model.py 59 0 100% +/media/ph33r/Data/Project/mllib/GitHub/mllib/lib/model.py 137 65 53% 87, 285-304, 308-343, 347-354, 372-409 -------------------------------------------------------------------------------------------- -TOTAL 176 0 100% +TOTAL 254 65 74% diff --git a/logs/pylint/lib-model-py.out b/logs/pylint/lib-model-py.out index 9727bb7..20446f8 100644 --- a/logs/pylint/lib-model-py.out +++ b/logs/pylint/lib-model-py.out @@ -1,8 +1,12 @@ ************* Module mllib.lib.model -model.py:190:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -model.py:191:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -model.py:192:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -model.py:193:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:204:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:205:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:206:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:207:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:349:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:350:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:351:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:352:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/mllib/lib/model.py b/mllib/lib/model.py index b9767f8..967e50b 100644 --- a/mllib/lib/model.py +++ b/mllib/lib/model.py @@ -102,11 +102,10 @@ def create_lag_vars(df: pd.DataFrame, if n_interval: y_lag = y_lag.join(df[n_interval]) y_lag = y_lag.set_index(n_interval) - op = y_lag.dropna() + op = y_lag.dropna().reset_index(drop=True) return lst_lag, op - class GLMNet(): """GLMNet module. @@ -230,6 +229,7 @@ def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: df_predict["y"] = y_hat return df_predict + class GLMNet_ts(): """GLMNet time series module. diff --git a/requirements.txt b/requirements.txt index 327fb8a..ec389bf 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,4 +1,4 @@ +Cython==0.29.15 numpy==1.19.5 pandas==1.1.3 -Cython==0.29.15 scikit_learn==0.24.2 diff --git a/tests/test_model.py b/tests/test_model.py index f505633..0fdc731 100644 --- a/tests/test_model.py +++ b/tests/test_model.py @@ -64,21 +64,23 @@ def setUp(self): def test_no_interval_specified(self): """Lag vars: Test when no interval is specified.""" df_ip = pd.read_csv(path + "test_lag_var.csv") - df_op = create_lag_vars(df=df_ip, - y_var=["y"], - x_var=["x1", "x2"]) + lst_lag, df_op = create_lag_vars(df=df_ip, + y_var=["y"], + x_var=["x1", "x2"]) exp_op = df_ip[list(df_ip.columns[1:])].dropna().reset_index(drop=True) self.assertEqual(df_op.equals(exp_op), True) + self.assertEqual([6, 4, 3, 2, 1], lst_lag) def test_interval_specified(self): """Lag vars: Test when interval is specified.""" df_ip = pd.read_csv(path + "test_lag_var.csv") - df_op = create_lag_vars(df=df_ip, - y_var=["y"], - x_var=["x1", "x2"], - n_interval="week") + lst_lag, df_op = create_lag_vars(df=df_ip, + y_var=["y"], + x_var=["x1", "x2"], + n_interval="week") exp_op = df_ip[list(df_ip.columns[1:])].dropna().reset_index(drop=True) self.assertEqual(df_op.equals(exp_op), True) + self.assertEqual([6, 4, 3, 2, 1], lst_lag) class TestGLMNet(unittest.TestCase): From d9b7edf5e62a2292ab6bc442a85746e79721f2a5 Mon Sep 17 00:00:00 2001 From: MadhuTangudu Date: Fri, 17 Sep 2021 21:10:05 +0530 Subject: [PATCH 036/116] v0.4.0 changelog: - glmnet_ts.py and test_glmnet_ts.py modules added - model.py and test_model.py modules modified --- mllib/lib/glmnet_ts.py | 285 ++++++++++++++++++++++++++++++++++++++++ mllib/lib/model.py | 243 ---------------------------------- tests/test_glmnet_ts.py | 125 ++++++++++++++++++ tests/test_model.py | 29 ---- 4 files changed, 410 insertions(+), 272 deletions(-) create mode 100644 mllib/lib/glmnet_ts.py create mode 100644 tests/test_glmnet_ts.py diff --git a/mllib/lib/glmnet_ts.py b/mllib/lib/glmnet_ts.py new file mode 100644 index 0000000..fb06d58 --- /dev/null +++ b/mllib/lib/glmnet_ts.py @@ -0,0 +1,285 @@ +""" +Module for commonly used machine learning modelling algorithms. + +**Available routines:** + +- udf ``create_lag_vars``: Create lag variables for time series data. +- class ``GLMNet``: Builds GLMnet model using cross validation. + +Credits +------- +:: + + Authors: + - Madhu + - Diptesh + + Date: Sep 16, 2021 +""" + +# pylint: disable=invalid-name +# pylint: disable=R0902,R0903,R0913,R0914,C0413 + +from typing import List, Dict + +import re +import sys +from inspect import getsourcefile +from os.path import abspath + +import pandas as pd +import numpy as np + +from sklearn.linear_model import ElasticNetCV +from sklearn.model_selection import TimeSeriesSplit as ts_split + +path = abspath(getsourcefile(lambda: 0)) +path = re.sub(r"(.+\/)(.+.py)", "\\1", path) +sys.path.insert(0, path) + +import metrics # noqa: F841 + +# ============================================================================= +# --- DO NOT CHANGE ANYTHING FROM HERE +# ============================================================================= + + +def create_lag_vars(df: pd.DataFrame, + y_var: List[str], + x_var: List[str], + lst_lag: List[int] = None, + n_interval: str = None) -> pd.DataFrame: + """Create lag variables for time series data. + + Parameters + ---------- + df : pd.DataFrame + + Pandas dataframe containing `y_var`, `x_var` and `n_interval` + (if provided). + + y_var : List[str] + + Dependant variable. + + x_var : List[str] + Independant variables. + + lst_lag : List[int] + + Lag values list (the default is None) + + n_interval : str, optional + + Column name of the time interval variable (the default is None). + + Returns + ------- + pd.DataFrame + + Pandas dataframe containing `y_var`, lag variables (`lag_xx`) and + `x_var`. + + """ + if n_interval is None: + df = df.reset_index(drop=True) + elif len(df) != (df[n_interval].max() - df[n_interval].min() + 1): + sys.exit("Missing/duplicate time instance found in input data") + else: + df = df.sort_values(by=n_interval) + df = df.reset_index(drop=True) + y_lag = df[y_var].copy(deep=True) + time_int = len(y_lag) + if lst_lag is None: + lst_lag = [] + while time_int > 8: + time_int = int(np.floor(time_int/2)) + lst_lag.extend([time_int]) + lst_lag.extend([4, 3, 2, 1]) + for lag in lst_lag: + y_lag.loc[:, "lag_" + str(lag)] = y_lag["y"].shift(lag) + y_lag = y_lag.join(df[x_var]) + if n_interval: + y_lag = y_lag.join(df[n_interval]) + y_lag = y_lag.set_index(n_interval) + op = y_lag.dropna().reset_index(drop=True) + return lst_lag, op + + +class GLMNet_ts(): + """GLMNet time series module. + + Objective: + - Build + `GLMNet `_ + model using optimal alpha and lambda + + Parameters + ---------- + df : pd.DataFrame + + Pandas dataframe containing `y_var` and `x_var` variables. + + y_var : List[str] + + Dependant variable. + + x_var : List[str] + + Independant variables. + + lst_lag : List[int] + + Lag values list (the default is None) + + n_interval : str, optional + + Column name of the time interval variable (the default is None). + + + param : Dict, optional + + GLMNet parameters (the default is None). + In case of None, the parameters will default to:: + + seed: 1 + a_inc: 0.05 + test_perc: 0.25 + n_jobs: -1 + k_fold: 10 + + """ + + def __init__(self, + df: pd.DataFrame, + y_var: List[str], + x_var: List[str], + lst_lag: List[int] = None, + n_interval: str = None, + param: Dict = None): + """Initialize variables for module ``GLMNet``.""" + self.df = df.sort_values(by=n_interval)[y_var + x_var] + self.y_var = y_var + self.x_var = x_var + self.lst_lag = lst_lag + self.n_interval = n_interval + self.model_summary = None + self.max_epoch = None + if param is None: + param = {"seed": 1, + "a_inc": 0.05, + "test_perc": 0.25, + "n_jobs": -1, + "k_fold": 10} + self.param = param + self.param["l1_range"] = list(np.round(np.arange(self.param["a_inc"], + 1.01, + self.param["a_inc"]), + 2)) + self._fit() + self._compute_metrics() + + def _fit(self) -> None: + """Fit the best GLMNet time series model.""" + if self.n_interval is None: + self.max_epoch = len(self.df) - 1 + else: + self.max_epoch = self.df[self.n_interval].max() + self.lag_var, df_ip = create_lag_vars(self.df, + self.y_var, + self.x_var, + self.lst_lag, + self.n_interval) + self.x_var = list(self.df.columns) + self.x_var.remove(self.y_var[0]) + df_train = df_ip.iloc[0:int(len(df_ip) * (1-self.param["test_perc"]))] + df_test = df_ip.iloc[int(len(df_ip) * (1-self.param["test_perc"])):] + train_x = df_train[self.x_var] + train_y = df_train[self.y_var] + test_x = df_test[self.x_var] + test_y = df_test[self.y_var] + self.param["k_fold"] = ts_split(n_splits=self.param["k_fold"]) + self.param["k_fold"] = self.param["k_fold"].split(X=train_y) + mod = ElasticNetCV(l1_ratio=self.param["l1_range"], + fit_intercept=True, + alphas=[1e-5, 1e-4, 1e-3, 1e-2, 1e-1, + 1.0, 10.0, 100.0], + normalize=True, + cv=self.param["k_fold"], + n_jobs=self.param["n_jobs"], + random_state=self.param["seed"]) + mod.fit(train_x, train_y.values.ravel()) + opt = {"alpha": mod.l1_ratio_, + "lambda": mod.alpha_, + "intercept": mod.intercept_, + "coef": mod.coef_, + "train_v": mod.score(train_x, train_y), + "test_v": mod.score(test_x, test_y)} + self.model = mod + self.opt = opt + + def _compute_metrics(self): + """Compute commonly used metrics to evaluate the model.""" + y = self.df[self.y_var].iloc[:, 0].values.tolist() + y_hat = list(self.predict(self.df[self.x_var])["y"].values) + model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), + "mae": np.round(metrics.mae(y, y_hat), 3), + "mape": np.round(metrics.mape(y, y_hat), 3), + "rmse": np.round(metrics.rmse(y, y_hat), 3)} + model_summary["mse"] = np.round(model_summary["rmse"] ** 2, 3) + self.model_summary = model_summary + + def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: + """Predict y_var/target variable. + + Parameters + ---------- + df_predict : pd.DataFrame + + Pandas dataframe containing `x_var`. + + Returns + ------- + pd.DataFrame + + Pandas dataframe containing predicted `y_var` and `x_var`. + + """ + if self.n_interval is None: + df_predict = df_predict.reset_index(drop=True) + df_predict = \ + df_predict.set_index(df_predict.index+self.max_epoch+1) + elif len(df_predict) != (df_predict[self.n_interval].max() \ + - df_predict[self.n_interval].min() + 1) \ + or df_predict[self.n_interval].min() \ + > self.max_epoch+1: + sys.exit("Missing time instance found in input data") + else: + df_ip = self.df[self.df[self.n_interval] \ + <= df_predict[self.n_interval].min()] + df_predict = df_predict.sort_values(by=self.n_interval) + df_predict = df_predict.set_index(self.n_interval) + df_predict = df_predict[self.x_var] + df_predict["y"] = -1 + for i in range(0, len(df_predict)): + # for i in range(0, len(df_ip)): + df_pred = pd.DataFrame(df_predict.iloc[i]) + df_pred = df_pred.T # Transpose + period_val = df_pred.index + df_pred = df_pred[self.x_var].reset_index(drop=True) + df_pred_x = pd.DataFrame( + {"lag_"+str(self.lst_lag[0]): df_ip.iloc[len(df_ip)\ + -self.lst_lag[0]]}) + for j in range(1, len(self.lst_lag)): + df_tmp = pd.DataFrame( + {"lag_"+str(self.lst_lag[j]): \ + df_ip.iloc[len(df_ip)-self.lst_lag[j]]}) + df_pred_x = df_pred_x.join(df_tmp) + df_pred_x = df_pred_x.reset_index(drop=True) + df_pred_x = df_pred_x.join(df_pred) + y_hat = self.model.predict(df_pred_x) + df_tmp = pd.DataFrame() + df_tmp['y'] = y_hat + df_ip = df_ip.append(df_tmp).reset_index(drop=True) + df_predict.loc[period_val, "y"] = y_hat + return df_predict diff --git a/mllib/lib/model.py b/mllib/lib/model.py index 967e50b..a93c36d 100644 --- a/mllib/lib/model.py +++ b/mllib/lib/model.py @@ -3,7 +3,6 @@ **Available routines:** -- udf ``create_lag_vars``: Create lag variables for time series data. - class ``GLMNet``: Builds GLMnet model using cross validation. Credits @@ -31,7 +30,6 @@ from sklearn.linear_model import ElasticNetCV from sklearn.model_selection import train_test_split as split -from sklearn.model_selection import TimeSeriesSplit as ts_split path = abspath(getsourcefile(lambda: 0)) path = re.sub(r"(.+\/)(.+.py)", "\\1", path) @@ -44,68 +42,6 @@ # ============================================================================= -def create_lag_vars(df: pd.DataFrame, - y_var: List[str], - x_var: List[str], - lst_lag: List[int] = None, - n_interval: str = None) -> pd.DataFrame: - """Create lag variables for time series data. - - Parameters - ---------- - df : pd.DataFrame - - Pandas dataframe containing `y_var`, `x_var` and `n_interval` - (if provided). - - y_var : List[str] - - Dependant variable. - - x_var : List[str] - Independant variables. - - lst_lag : List[int] - - Lag values list (the default is None) - - n_interval : str, optional - - Column name of the time interval variable (the default is None). - - Returns - ------- - pd.DataFrame - - Pandas dataframe containing `y_var`, lag variables (`lag_xx`) and - `x_var`. - - """ - if n_interval is None: - df = df.reset_index(drop=True) - elif len(df) != (df[n_interval].max() - df[n_interval].min() + 1): - sys.exit("Missing/duplicate time instance found in input data") - else: - df = df.sort_values(by=n_interval) - df = df.reset_index(drop=True) - y_lag = df[y_var].copy(deep=True) - time_int = len(y_lag) - if lst_lag is None: - lst_lag = [] - while time_int > 8: - time_int = int(np.floor(time_int/2)) - lst_lag.extend([time_int]) - lst_lag.extend([4, 3, 2, 1]) - for lag in lst_lag: - y_lag.loc[:, "lag_" + str(lag)] = y_lag["y"].shift(lag) - y_lag = y_lag.join(df[x_var]) - if n_interval: - y_lag = y_lag.join(df[n_interval]) - y_lag = y_lag.set_index(n_interval) - op = y_lag.dropna().reset_index(drop=True) - return lst_lag, op - - class GLMNet(): """GLMNet module. @@ -228,182 +164,3 @@ def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: df_predict = df_predict.copy() df_predict["y"] = y_hat return df_predict - - -class GLMNet_ts(): - """GLMNet time series module. - - Objective: - - Build - `GLMNet `_ - model using optimal alpha and lambda - - Parameters - ---------- - df : pd.DataFrame - - Pandas dataframe containing `y_var` and `x_var` variables. - - y_var : List[str] - - Dependant variable. - - x_var : List[str] - - Independant variables. - - lst_lag : List[int] - - Lag values list (the default is None) - - n_interval : str, optional - - Column name of the time interval variable (the default is None). - - - param : Dict, optional - - GLMNet parameters (the default is None). - In case of None, the parameters will default to:: - - seed: 1 - a_inc: 0.05 - test_perc: 0.25 - n_jobs: -1 - k_fold: 10 - - """ - - def __init__(self, - df: pd.DataFrame, - y_var: List[str], - x_var: List[str], - lst_lag: List[int] = None, - n_interval: str = None, - param: Dict = None): - """Initialize variables for module ``GLMNet``.""" - self.df = df.sort_values(by=n_interval)[y_var + x_var] - self.y_var = y_var - self.x_var = x_var - self.lst_lag = lst_lag - self.n_interval = n_interval - self.model_summary = None - self.max_epoch = None - if param is None: - param = {"seed": 1, - "a_inc": 0.05, - "test_perc": 0.25, - "n_jobs": -1, - "k_fold": 10} - self.param = param - self.param["l1_range"] = list(np.round(np.arange(self.param["a_inc"], - 1.01, - self.param["a_inc"]), - 2)) - self._fit() - self._compute_metrics() - - def _fit(self) -> None: - """Fit the best GLMNet time series model.""" - if self.n_interval is None: - self.max_epoch = len(self.df) - 1 - else: - self.max_epoch = self.df[self.n_interval].max() - self.lag_var, df_ip = create_lag_vars(self.df, - self.y_var, - self.x_var, - self.lst_lag, - self.n_interval) - self.x_var = list(self.df.columns) - self.x_var.remove(self.y_var[0]) - df_train = df_ip.iloc[0:int(len(df_ip) * (1-self.param["test_perc"]))] - df_test = df_ip.iloc[int(len(df_ip) * (1-self.param["test_perc"])):] - train_x = df_train[self.x_var] - train_y = df_train[self.y_var] - test_x = df_test[self.x_var] - test_y = df_test[self.y_var] - self.param["k_fold"] = ts_split(n_splits=self.param["k_fold"]) - self.param["k_fold"] = self.param["k_fold"].split(X=train_y) - mod = ElasticNetCV(l1_ratio=self.param["l1_range"], - fit_intercept=True, - alphas=[1e-5, 1e-4, 1e-3, 1e-2, 1e-1, - 1.0, 10.0, 100.0], - normalize=True, - cv=self.param["k_fold"], - n_jobs=self.param["n_jobs"], - random_state=self.param["seed"]) - mod.fit(train_x, train_y.values.ravel()) - opt = {"alpha": mod.l1_ratio_, - "lambda": mod.alpha_, - "intercept": mod.intercept_, - "coef": mod.coef_, - "train_v": mod.score(train_x, train_y), - "test_v": mod.score(test_x, test_y)} - self.model = mod - self.opt = opt - - def _compute_metrics(self): - """Compute commonly used metrics to evaluate the model.""" - y = self.df[self.y_var].iloc[:, 0].values.tolist() - y_hat = list(self.predict(self.df[self.x_var])["y"].values) - model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), - "mae": np.round(metrics.mae(y, y_hat), 3), - "mape": np.round(metrics.mape(y, y_hat), 3), - "rmse": np.round(metrics.rmse(y, y_hat), 3)} - model_summary["mse"] = np.round(model_summary["rmse"] ** 2, 3) - self.model_summary = model_summary - - def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: - """Predict y_var/target variable. - - Parameters - ---------- - df_predict : pd.DataFrame - - Pandas dataframe containing `x_var`. - - Returns - ------- - pd.DataFrame - - Pandas dataframe containing predicted `y_var` and `x_var`. - - """ - if self.n_interval is None: - df_predict = df_predict.reset_index(drop=True) - df_predict = \ - df_predict.set_index(df_predict.index+self.max_epoch+1) - elif len(df_predict) != (df_predict[self.n_interval].max() \ - - df_predict[self.n_interval].min() + 1) \ - or df_predict[self.n_interval].min() \ - > self.max_epoch+1: - sys.exit("Missing time instance found in input data") - else: - df_ip = self.df[self.df[self.n_interval] \ - <= df_predict[self.n_interval].min()] - df_predict = df_predict.sort_values(by=self.n_interval) - df_predict = df_predict.set_index(self.n_interval) - df_predict = df_predict[self.x_var] - df_predict["y"] = -1 - for i in range(0, len(df_predict)): - # for i in range(0, len(df_ip)): - df_pred = pd.DataFrame(df_predict.iloc[i]) - df_pred = df_pred.T # Transpose - period_val = df_pred.index - df_pred = df_pred[self.x_var].reset_index(drop=True) - df_pred_x = pd.DataFrame( - {"lag_"+str(self.lst_lag[0]): df_ip.iloc[len(df_ip)\ - -self.lst_lag[0]]}) - for j in range(1, len(self.lst_lag)): - df_tmp = pd.DataFrame( - {"lag_"+str(self.lst_lag[j]): \ - df_ip.iloc[len(df_ip)-self.lst_lag[j]]}) - df_pred_x = df_pred_x.join(df_tmp) - df_pred_x = df_pred_x.reset_index(drop=True) - df_pred_x = df_pred_x.join(df_pred) - y_hat = self.model.predict(df_pred_x) - df_tmp = pd.DataFrame() - df_tmp['y'] = y_hat - df_ip = df_ip.append(df_tmp).reset_index(drop=True) - df_predict.loc[period_val, "y"] = y_hat - return df_predict diff --git a/tests/test_glmnet_ts.py b/tests/test_glmnet_ts.py new file mode 100644 index 0000000..2e49a75 --- /dev/null +++ b/tests/test_glmnet_ts.py @@ -0,0 +1,125 @@ +""" +Test suite module for ``glmnet_ts``. + +Credits +------- +:: + + Authors: + - Madhu + - Diptesh + + Date: Sep 07, 2021 +""" + +# pylint: disable=invalid-name +# pylint: disable=wrong-import-position + +import unittest +import warnings +import re +import sys + +from inspect import getsourcefile +from os.path import abspath + +import pandas as pd +import numpy as np + +# Set base path +path = abspath(getsourcefile(lambda: 0)) +path = re.sub(r"(.+)(\/tests.*)", "\\1", path) + +sys.path.insert(0, path) + +from mllib.lib.glmnet_ts import create_lag_vars # noqa: F841 +from mllib.lib.glmnet_ts import GLMNet_ts # noqa: F841 + +# ============================================================================= +# --- DO NOT CHANGE ANYTHING FROM HERE +# ============================================================================= + +path = path + "/data/input/" + +# ============================================================================= +# --- User defined functions +# ============================================================================= + + +def ignore_warnings(test_func): + """Suppress deprecation warnings.""" + + def do_test(self, *args, **kwargs): + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + test_func(self, *args, **kwargs) + return do_test + + +class TestCreateLagVars(unittest.TestCase): + """Test suite for UDF ``create_lag_vars``.""" + + def setUp(self): + """Set up for UDF ``create_lag_vars``.""" + + def test_no_interval_specified(self): + """Lag vars: Test when no interval is specified.""" + df_ip = pd.read_csv(path + "test_lag_var.csv") + lst_lag, df_op = create_lag_vars(df=df_ip, + y_var=["y"], + x_var=["x1", "x2"]) + exp_op = df_ip[list(df_ip.columns[1:])].dropna().reset_index(drop=True) + self.assertEqual(df_op.equals(exp_op), True) + self.assertEqual([6, 4, 3, 2, 1], lst_lag) + + def test_interval_specified(self): + """Lag vars: Test when interval is specified.""" + df_ip = pd.read_csv(path + "test_lag_var.csv") + lst_lag, df_op = create_lag_vars(df=df_ip, + y_var=["y"], + x_var=["x1", "x2"], + n_interval="week") + exp_op = df_ip[list(df_ip.columns[1:])].dropna().reset_index(drop=True) + self.assertEqual(df_op.equals(exp_op), True) + self.assertEqual([6, 4, 3, 2, 1], lst_lag) + + +class TestGLMNet(unittest.TestCase): + """Test suite for module ``GLMNet``.""" + + def setUp(self): + """Set up for module ``GLMNet``.""" + + def test_known_equation(self): + """GLMNet: Test a known equation.""" + df_ip = pd.read_csv(path + "test_glmnet.csv") + mod = GLMNet(df=df_ip, + y_var=["y"], + x_var=["x1", "x2", "x3"]) + op = mod.opt + self.assertEqual(np.round(op.get('intercept'), 0), 100.0) + self.assertEqual(np.round(op.get('coef')[0], 0), 2.0) + self.assertEqual(np.round(op.get('coef')[1], 0), 3.0) + self.assertEqual(np.round(op.get('coef')[2], 0), 0.0) + + def test_predict_target_variable(self): + """GLMNet: Test to predict a target variable.""" + df_ip = pd.read_csv(path + "test_glmnet.csv") + mod = GLMNet(df=df_ip, + y_var=["y"], + x_var=["x1", "x2", "x3"]) + df_predict = pd.DataFrame({"x1": [10, 20], + "x2": [5, 10], + "x3": [100, 0]}) + op = mod.predict(df_predict) + op = np.round(np.array(op["y"]), 1) + exp_op = np.array([135.0, 170.0]) + self.assertEqual((op == exp_op).all(), True) + + +# ============================================================================= +# --- Main +# ============================================================================= + +if __name__ == '__main__': + unittest.main() diff --git a/tests/test_model.py b/tests/test_model.py index 0fdc731..a73901c 100644 --- a/tests/test_model.py +++ b/tests/test_model.py @@ -31,7 +31,6 @@ sys.path.insert(0, path) -from mllib.lib.model import create_lag_vars # noqa: F841 from mllib.lib.model import GLMNet # noqa: F841 # ============================================================================= @@ -55,34 +54,6 @@ def do_test(self, *args, **kwargs): return do_test -class TestCreateLagVars(unittest.TestCase): - """Test suite for UDF ``create_lag_vars``.""" - - def setUp(self): - """Set up for UDF ``create_lag_vars``.""" - - def test_no_interval_specified(self): - """Lag vars: Test when no interval is specified.""" - df_ip = pd.read_csv(path + "test_lag_var.csv") - lst_lag, df_op = create_lag_vars(df=df_ip, - y_var=["y"], - x_var=["x1", "x2"]) - exp_op = df_ip[list(df_ip.columns[1:])].dropna().reset_index(drop=True) - self.assertEqual(df_op.equals(exp_op), True) - self.assertEqual([6, 4, 3, 2, 1], lst_lag) - - def test_interval_specified(self): - """Lag vars: Test when interval is specified.""" - df_ip = pd.read_csv(path + "test_lag_var.csv") - lst_lag, df_op = create_lag_vars(df=df_ip, - y_var=["y"], - x_var=["x1", "x2"], - n_interval="week") - exp_op = df_ip[list(df_ip.columns[1:])].dropna().reset_index(drop=True) - self.assertEqual(df_op.equals(exp_op), True) - self.assertEqual([6, 4, 3, 2, 1], lst_lag) - - class TestGLMNet(unittest.TestCase): """Test suite for module ``GLMNet``.""" From 4fbddd939a8b91a64b54228315999661a0d40d00 Mon Sep 17 00:00:00 2001 From: MadhuTangudu Date: Sun, 19 Sep 2021 23:15:53 +0530 Subject: [PATCH 037/116] v0.4.0 -changelog: - test_lag_var.csv file modified to handle one more test case - test_glmnet_ts.py file modified --- data/input/test_glmnet_ts.csv | 105 ++++++++++++++++++++++++++++++++++ data/input/test_lag_var.csv | 10 ++-- mllib/lib/glmnet_ts.py | 6 +- tests/test_glmnet_ts.py | 76 +++++++++++++----------- 4 files changed, 157 insertions(+), 40 deletions(-) create mode 100644 data/input/test_glmnet_ts.csv diff --git a/data/input/test_glmnet_ts.csv b/data/input/test_glmnet_ts.csv new file mode 100644 index 0000000..b6c121b --- /dev/null +++ b/data/input/test_glmnet_ts.csv @@ -0,0 +1,105 @@ +week,y,x1,x2 +1,14,2,18 +2,12,2,15 +3,14,1,13 +4,11,1,13 +5,15,1,16 +6,17,1,17 +7,16,3,20 +8,124.50,2,1.8 +9,221.10,2,1.5 +10,307.34,2,1.1 +11,384.56,1,1.9 +12,457.30,3,1.4 +13,520.72,2,1.3 +14,578.60,2,1.7 +15,638.64,1,1.3 +16,705.73,2,1.9 +17,776.10,3,1.6 +18,845.89,3,1.1 +19,913.73,1,1.8 +20,983.38,3,1.1 +21,1051.00,2,1.6 +22,1120.12,3,1.7 +23,1185.28,2,1 +24,1254.56,3,1.6 +25,1319.29,1,1.4 +26,1384.44,1,1.4 +27,1451.18,2,1.1 +28,1519.01,2,1.5 +29,1588.22,3,1.2 +30,1657.03,2,2 +31,1722.13,1,1.3 +32,1788.45,2,1 +33,1854.50,1,1.7 +34,1921.87,2,1.4 +35,1987.28,1,1.4 +36,2055.32,2,1.5 +37,2122.60,1,2 +38,2189.50,2,1.1 +39,2259.99,3,1.8 +40,2330.64,3,2 +41,2398.12,2,1.7 +42,2463.98,1,1.9 +43,2529.97,2,1.1 +44,2594.08,1,1.1 +45,2664.22,3,1.8 +46,2731.90,2,1.6 +47,2796.72,1,1.1 +48,2866.71,3,1.5 +49,2935.89,3,1.3 +50,3001.75,1,1.7 +51,3065.93,1,1.1 +52,3135.36,3,1.4 +53,3206.21,3,2 +54,3274.61,3,1.3 +55,3343.67,3,1.5 +56,3413.00,3,1.6 +57,3480.57,2,1.8 +58,3545.81,1,1.8 +59,3609.96,1,1.2 +60,3676.19,2,1 +61,3740.98,1,1.1 +62,3810.10,2,1.9 +63,3880.99,3,1.8 +64,3948.05,1,2 +65,4015.67,2,1.5 +66,4086.20,3,2 +67,4150.30,1,1.2 +68,4214.07,1,1 +69,4280.27,1,1.8 +70,4349.79,3,1.3 +71,4417.47,2,1.5 +72,4483.99,1,1.8 +73,4550.31,1,1.6 +74,4619.66,3,1.3 +75,4687.95,2,1.9 +76,4752.53,1,1.3 +77,4817.71,1,1.3 +78,4883.78,1,1.6 +79,4954.26,3,1.7 +80,5020.31,1,1.7 +81,5090.70,3,1.7 +82,5159.77,3,1.3 +83,5223.75,1,1 +84,5288.34,1,1.2 +85,5353.99,1,1.6 +86,5420.11,1,1.6 +87,5485.58,1,1.3 +88,5555.95,3,1.5 +89,5624.03,2,1.4 +90,5690.95,1,1.9 +91,5757.89,1,2 +92,5822.70,1,1.2 +93,5889.04,2,1 +94,5959.29,3,1.8 +95,6026.81,2,1.5 +96,6096.23,3,1.4 +97,6165.15,3,1.3 +98,6232.78,2,1.7 +99,6297.62,1,1.5 +100,6366.96,3,1.6 +101,6436.54,3,1.7 +102,6506.77,3,2 +103,6576.67,3,1.9 +104,6644.12,3,1 diff --git a/data/input/test_lag_var.csv b/data/input/test_lag_var.csv index e5ba31d..7a374be 100644 --- a/data/input/test_lag_var.csv +++ b/data/input/test_lag_var.csv @@ -1,10 +1,10 @@ week,y,lag_6,lag_4,lag_3,lag_2,lag_1,x1,x2 1,14,,,,,,2,18 -2,12,,,,,,2,15 -3,14,,,,,,1,13 -4,11,,,,,,1,13 -5,15,,,,,,1,16 -6,17,,,,,,1,17 +2,12,,,,,14,2,15 +3,14,,,,14,12,1,13 +4,11,,,14,12,14,1,13 +5,15,,14,12,14,11,1,16 +6,17,,12,14,11,15,1,17 7,16,14,14,11,15,17,3,20 8,14,12,11,15,17,16,2,18 9,19,14,15,17,16,14,2,15 diff --git a/mllib/lib/glmnet_ts.py b/mllib/lib/glmnet_ts.py index fb06d58..3279fc2 100644 --- a/mllib/lib/glmnet_ts.py +++ b/mllib/lib/glmnet_ts.py @@ -158,7 +158,7 @@ def __init__(self, n_interval: str = None, param: Dict = None): """Initialize variables for module ``GLMNet``.""" - self.df = df.sort_values(by=n_interval)[y_var + x_var] + self.df = df[y_var + x_var] self.y_var = y_var self.x_var = x_var self.lst_lag = lst_lag @@ -190,7 +190,7 @@ def _fit(self) -> None: self.x_var, self.lst_lag, self.n_interval) - self.x_var = list(self.df.columns) + self.x_var = list(df_ip.columns) self.x_var.remove(self.y_var[0]) df_train = df_ip.iloc[0:int(len(df_ip) * (1-self.param["test_perc"]))] df_test = df_ip.iloc[int(len(df_ip) * (1-self.param["test_perc"])):] @@ -236,7 +236,7 @@ def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: ---------- df_predict : pd.DataFrame - Pandas dataframe containing `x_var`. + Pandas dataframe containing `x_var`, 'n_interval' (optional) Returns ------- diff --git a/tests/test_glmnet_ts.py b/tests/test_glmnet_ts.py index 2e49a75..b4aa414 100644 --- a/tests/test_glmnet_ts.py +++ b/tests/test_glmnet_ts.py @@ -83,38 +83,50 @@ def test_interval_specified(self): self.assertEqual(df_op.equals(exp_op), True) self.assertEqual([6, 4, 3, 2, 1], lst_lag) - -class TestGLMNet(unittest.TestCase): - """Test suite for module ``GLMNet``.""" - - def setUp(self): - """Set up for module ``GLMNet``.""" - - def test_known_equation(self): - """GLMNet: Test a known equation.""" - df_ip = pd.read_csv(path + "test_glmnet.csv") - mod = GLMNet(df=df_ip, - y_var=["y"], - x_var=["x1", "x2", "x3"]) - op = mod.opt - self.assertEqual(np.round(op.get('intercept'), 0), 100.0) - self.assertEqual(np.round(op.get('coef')[0], 0), 2.0) - self.assertEqual(np.round(op.get('coef')[1], 0), 3.0) - self.assertEqual(np.round(op.get('coef')[2], 0), 0.0) - - def test_predict_target_variable(self): - """GLMNet: Test to predict a target variable.""" - df_ip = pd.read_csv(path + "test_glmnet.csv") - mod = GLMNet(df=df_ip, - y_var=["y"], - x_var=["x1", "x2", "x3"]) - df_predict = pd.DataFrame({"x1": [10, 20], - "x2": [5, 10], - "x3": [100, 0]}) - op = mod.predict(df_predict) - op = np.round(np.array(op["y"]), 1) - exp_op = np.array([135.0, 170.0]) - self.assertEqual((op == exp_op).all(), True) + def test_lag_vars_specified(self): + """Lag vars: Test when lags are specified.""" + df_ip = pd.read_csv(path + "test_lag_var.csv") + lst_lag, df_op = create_lag_vars(df=df_ip, + y_var=["y"], + x_var=["x1", "x2"], + lst_lag=[3, 2, 1]) + exp_op = df_ip.iloc[:, [1, 4, 5, 6, 7, 8]].dropna().reset_index(drop=True) + self.assertEqual(df_op.equals(exp_op), True) + self.assertEqual([3, 2, 1], lst_lag) + +# class TestGLMNet_ts(unittest.TestCase): +# """Test suite for module ``GLMNet_ts``.""" + +# def setUp(self): +# """Set up for module ``GLMNet_ts``.""" + +# def test_known_equation(self): +# """GLMNet_ts: Test a known equation.""" +# df_ip = pd.read_csv(path + "test_glmnet_ts.csv") +# df_train_ip = df_ip.iloc[7:100] +# mod = GLMNet_ts(df=df_train_ip, +# y_var=["y"], +# x_var=["x1", "x2"], +# lst_lag=[7,1]) +# op = mod.opt +# self.assertEqual(np.round(op.get('intercept'), 0), 100.0) +# self.assertEqual(np.round(op.get('coef')[0], 0), 2.0) +# self.assertEqual(np.round(op.get('coef')[1], 0), 3.0) +# self.assertEqual(np.round(op.get('coef')[2], 0), 0.0) + +# def test_predict_target_variable(self): +# """GLMNet_ts: Test to predict a target variable.""" +# df_ip = pd.read_csv(path + "test_glmnet.csv") +# mod = GLMNet_ts(df=df_ip, +# y_var=["y"], +# x_var=["x1", "x2", "x3"]) +# df_predict = pd.DataFrame({"x1": [10, 20], +# "x2": [5, 10], +# "x3": [100, 0]}) +# op = mod.predict(df_predict) +# op = np.round(np.array(op["y"]), 1) +# exp_op = np.array([135.0, 170.0]) +# self.assertEqual((op == exp_op).all(), True) # ============================================================================= From 72ef30d6d2f4bc876e954c345b0488bdd5ec3bcf Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Fri, 24 Sep 2021 12:32:48 +0530 Subject: [PATCH 038/116] v0.4.0 --- .github/workflows/{build.yml => checks.yml} | 5 +++-- README.md | 2 +- 2 files changed, 4 insertions(+), 3 deletions(-) rename .github/workflows/{build.yml => checks.yml} (96%) diff --git a/.github/workflows/build.yml b/.github/workflows/checks.yml similarity index 96% rename from .github/workflows/build.yml rename to .github/workflows/checks.yml index 56bcd95..6d91104 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/checks.yml @@ -1,5 +1,5 @@ # ============================================================================= -# Build file +# Workflow for checks # # Objective: # - Install python dependencies @@ -14,13 +14,14 @@ # # ============================================================================= -name: Build +name: checks on: push: branches: - 'stable' - 'testing' + - 'dev*' - 'feature*' - '!maintenance*' pull_request: diff --git a/README.md b/README.md index 80fe418..0f0fb88 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -[![Build](../../actions/workflows/build.yml/badge.svg)](../../actions/workflows/build.yml) +[![checks](../../actions/workflows/checks.yml/badge.svg)](../../actions/workflows/checks.yml) [![pylint Score](https://mperlet.github.io/pybadge/badges/10.0.svg)](./logs/pylint/) [![Coverage score](https://img.shields.io/badge/coverage-74%25-red.svg)](./logs/cov.out) [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](./LICENSE) From 6a20d03c72bb787ef4355cc4e8f36ae7be6508fc Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Fri, 24 Sep 2021 12:36:53 +0530 Subject: [PATCH 039/116] v0.4.0 --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 0f0fb88..06a24c8 100644 --- a/README.md +++ b/README.md @@ -17,6 +17,7 @@ 1. [Initial setup](./README.md#initial-setup) 1. [Unit tests](./README.md#run-unit-tests-and-pylint-ratings) 1. [Important links](./README.md#important-links) +1. [License](./LICENSE) *** ## Introduction From b05862db6013a83d8f7d8df5711b51e7cf0506c3 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Fri, 24 Sep 2021 12:41:15 +0530 Subject: [PATCH 040/116] v0.4.0 --- .github/workflows/checks.yml | 1 - 1 file changed, 1 deletion(-) diff --git a/.github/workflows/checks.yml b/.github/workflows/checks.yml index 6d91104..7745894 100644 --- a/.github/workflows/checks.yml +++ b/.github/workflows/checks.yml @@ -21,7 +21,6 @@ on: branches: - 'stable' - 'testing' - - 'dev*' - 'feature*' - '!maintenance*' pull_request: From 6b7638d665f3e969b78553854e89aa93bcefe984 Mon Sep 17 00:00:00 2001 From: MadhuTangudu Date: Sat, 25 Sep 2021 00:51:53 +0530 Subject: [PATCH 041/116] v0.4.0 changelog: - glmnet_ts.py and test_glmnet_ts.py modified - test_glmnet_ts1.csv added --- data/input/test_glmnet_ts1.csv | 105 ++++++++++++++++++++++++++ mllib/lib/glmnet_ts.py | 40 ++++++---- tests/test_glmnet_ts.py | 130 ++++++++++++++++++++++++--------- 3 files changed, 228 insertions(+), 47 deletions(-) create mode 100644 data/input/test_glmnet_ts1.csv diff --git a/data/input/test_glmnet_ts1.csv b/data/input/test_glmnet_ts1.csv new file mode 100644 index 0000000..e9079fa --- /dev/null +++ b/data/input/test_glmnet_ts1.csv @@ -0,0 +1,105 @@ +week,y,x1,x2 +1,3.8,2,2 +2,6.11,2,1.5 +3,6.98,1,1.6 +4,8.59,1,1.9 +5,9.99,1,1.7 +6,11.44,1,2.1 +7,14.02,3,1.4 +8,15.41,2,1.8 +9,16.63,2,1.5 +10,17.79,2,1.1 +11,18.49,1,1.9 +12,20.57,3,1.4 +13,21.31,2,1.3 +14,22.26,2,1.7 +15,22.35,1,1.3 +16,23.65,2,1.9 +17,25.41,3,1.6 +18,26.41,3,1.1 +19,26.12,1,1.8 +20,27.41,3,1.1 +21,27.97,2,1.6 +22,29.15,3,1.7 +23,29.19,2,1 +24,30.33,3,1.6 +25,29.76,1,1.4 +26,29.37,1,1.4 +27,29.97,2,1.1 +28,30.38,2,1.5 +29,31.24,3,1.2 +30,31.66,2,2 +31,30.89,1,1.3 +32,31.17,2,1 +33,31,1,1.7 +34,31.28,2,1.4 +35,30.83,1,1.4 +36,31.33,2,1.5 +37,31.19,1,2 +38,31.25,2,1.1 +39,32.54,3,1.8 +40,33.52,3,2 +41,33.26,2,1.7 +42,32.74,1,1.9 +43,32.87,2,1.1 +44,32.11,1,1.1 +45,33.43,3,1.8 +46,33.47,2,1.6 +47,32.3,1,1.1 +48,33.55,3,1.5 +49,34.33,3,1.3 +50,33.34,1,1.7 +51,32.5,1,1.1 +52,33.81,3,1.4 +53,34.84,3,2 +54,35.14,3,1.3 +55,35.71,3,1.5 +56,36.26,3,1.6 +57,36.11,2,1.8 +58,35.32,1,1.8 +59,34.48,1,1.2 +60,34.66,2,1 +61,33.77,1,1.1 +62,34.29,2,1.9 +63,35.33,3,1.8 +64,34.39,1,2 +65,34.38,2,1.5 +66,35.63,3,2 +67,34.42,1,1.2 +68,33.37,1,1 +69,33.28,1,1.8 +70,34.33,3,1.3 +71,34.26,2,1.5 +72,33.54,1,1.8 +73,33.14,1,1.6 +74,34.2,3,1.3 +75,34.4,2,1.9 +76,33.36,1,1.3 +77,32.84,1,1.3 +78,32.57,1,1.6 +79,33.92,3,1.7 +80,33.16,1,1.7 +81,34.08,3,1.7 +82,34.89,3,1.3 +83,33.45,1,1 +84,32.83,1,1.2 +85,32.76,1,1.6 +86,32.42,1,1.6 +87,31.91,1,1.3 +88,33.14,3,1.5 +89,33.08,2,1.4 +90,32.49,1,1.9 +91,32.37,1,2 +92,31.88,1,1.2 +93,32.11,2,1 +94,33.35,3,1.8 +95,33.17,2,1.5 +96,33.84,3,1.4 +97,34.51,3,1.3 +98,34.34,2,1.7 +99,33.56,1,1.5 +100,34.79,3,1.6 +101,35.67,3,1.7 +102,36.28,3,2 +103,36.91,3,1.9 +104,36.97,3,1 diff --git a/mllib/lib/glmnet_ts.py b/mllib/lib/glmnet_ts.py index 3279fc2..3d37305 100644 --- a/mllib/lib/glmnet_ts.py +++ b/mllib/lib/glmnet_ts.py @@ -63,11 +63,12 @@ def create_lag_vars(df: pd.DataFrame, Dependant variable. x_var : List[str] + Independant variables. lst_lag : List[int] - Lag values list (the default is None) + Lag variables list (the default is None) n_interval : str, optional @@ -130,7 +131,7 @@ class GLMNet_ts(): lst_lag : List[int] - Lag values list (the default is None) + Lag variables list (the default is None) n_interval : str, optional @@ -158,7 +159,10 @@ def __init__(self, n_interval: str = None, param: Dict = None): """Initialize variables for module ``GLMNet``.""" - self.df = df[y_var + x_var] + if n_interval is None: + self.df = df[y_var + x_var] + else: + self.df = df[y_var + x_var + [n_interval]] self.y_var = y_var self.x_var = x_var self.lst_lag = lst_lag @@ -190,13 +194,13 @@ def _fit(self) -> None: self.x_var, self.lst_lag, self.n_interval) - self.x_var = list(df_ip.columns) - self.x_var.remove(self.y_var[0]) + x_var = list(df_ip.columns) + x_var.remove(self.y_var[0]) df_train = df_ip.iloc[0:int(len(df_ip) * (1-self.param["test_perc"]))] df_test = df_ip.iloc[int(len(df_ip) * (1-self.param["test_perc"])):] - train_x = df_train[self.x_var] + train_x = df_train[x_var] train_y = df_train[self.y_var] - test_x = df_test[self.x_var] + test_x = df_test[x_var] test_y = df_test[self.y_var] self.param["k_fold"] = ts_split(n_splits=self.param["k_fold"]) self.param["k_fold"] = self.param["k_fold"].split(X=train_y) @@ -204,7 +208,7 @@ def _fit(self) -> None: fit_intercept=True, alphas=[1e-5, 1e-4, 1e-3, 1e-2, 1e-1, 1.0, 10.0, 100.0], - normalize=True, + normalize=False, cv=self.param["k_fold"], n_jobs=self.param["n_jobs"], random_state=self.param["seed"]) @@ -220,8 +224,14 @@ def _fit(self) -> None: def _compute_metrics(self): """Compute commonly used metrics to evaluate the model.""" - y = self.df[self.y_var].iloc[:, 0].values.tolist() - y_hat = list(self.predict(self.df[self.x_var])["y"].values) + y = self.df[self.y_var].iloc[\ + max(self.lst_lag):len(self.df), 0].values.tolist() + if self.n_interval is None: + y_hat = list(self.predict(self.df[\ + self.x_var][max(self.lst_lag):len(self.df)])["y"].values) + else: + y_hat = list(self.predict(self.df[self.x_var +\ + [self.n_interval]][max(self.lst_lag):len(self.df)])["y"].values) model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), "mae": np.round(metrics.mae(y, y_hat), 3), "mape": np.round(metrics.mape(y, y_hat), 3), @@ -246,6 +256,11 @@ def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: """ if self.n_interval is None: + df_predict = df_predict[self.x_var] + else: + df_predict = df_predict[self.x_var + [self.n_interval]] + if self.n_interval is None: + df_ip = self.df df_predict = df_predict.reset_index(drop=True) df_predict = \ df_predict.set_index(df_predict.index+self.max_epoch+1) @@ -262,18 +277,17 @@ def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: df_predict = df_predict[self.x_var] df_predict["y"] = -1 for i in range(0, len(df_predict)): - # for i in range(0, len(df_ip)): df_pred = pd.DataFrame(df_predict.iloc[i]) df_pred = df_pred.T # Transpose period_val = df_pred.index df_pred = df_pred[self.x_var].reset_index(drop=True) df_pred_x = pd.DataFrame( {"lag_"+str(self.lst_lag[0]): df_ip.iloc[len(df_ip)\ - -self.lst_lag[0]]}) + -self.lst_lag[0]][self.y_var]}) for j in range(1, len(self.lst_lag)): df_tmp = pd.DataFrame( {"lag_"+str(self.lst_lag[j]): \ - df_ip.iloc[len(df_ip)-self.lst_lag[j]]}) + df_ip.iloc[len(df_ip)-self.lst_lag[j]][self.y_var]}) df_pred_x = df_pred_x.join(df_tmp) df_pred_x = df_pred_x.reset_index(drop=True) df_pred_x = df_pred_x.join(df_pred) diff --git a/tests/test_glmnet_ts.py b/tests/test_glmnet_ts.py index b4aa414..7168736 100644 --- a/tests/test_glmnet_ts.py +++ b/tests/test_glmnet_ts.py @@ -9,7 +9,7 @@ - Madhu - Diptesh - Date: Sep 07, 2021 + Date: Sep 24, 2021 """ # pylint: disable=invalid-name @@ -25,6 +25,7 @@ import pandas as pd import numpy as np +import pytest # Set base path path = abspath(getsourcefile(lambda: 0)) @@ -94,39 +95,100 @@ def test_lag_vars_specified(self): self.assertEqual(df_op.equals(exp_op), True) self.assertEqual([3, 2, 1], lst_lag) -# class TestGLMNet_ts(unittest.TestCase): -# """Test suite for module ``GLMNet_ts``.""" - -# def setUp(self): -# """Set up for module ``GLMNet_ts``.""" - -# def test_known_equation(self): -# """GLMNet_ts: Test a known equation.""" -# df_ip = pd.read_csv(path + "test_glmnet_ts.csv") -# df_train_ip = df_ip.iloc[7:100] -# mod = GLMNet_ts(df=df_train_ip, -# y_var=["y"], -# x_var=["x1", "x2"], -# lst_lag=[7,1]) -# op = mod.opt -# self.assertEqual(np.round(op.get('intercept'), 0), 100.0) -# self.assertEqual(np.round(op.get('coef')[0], 0), 2.0) -# self.assertEqual(np.round(op.get('coef')[1], 0), 3.0) -# self.assertEqual(np.round(op.get('coef')[2], 0), 0.0) - -# def test_predict_target_variable(self): -# """GLMNet_ts: Test to predict a target variable.""" -# df_ip = pd.read_csv(path + "test_glmnet.csv") -# mod = GLMNet_ts(df=df_ip, -# y_var=["y"], -# x_var=["x1", "x2", "x3"]) -# df_predict = pd.DataFrame({"x1": [10, 20], -# "x2": [5, 10], -# "x3": [100, 0]}) -# op = mod.predict(df_predict) -# op = np.round(np.array(op["y"]), 1) -# exp_op = np.array([135.0, 170.0]) -# self.assertEqual((op == exp_op).all(), True) +class TestGLMNet_ts(unittest.TestCase): + """Test suite for module ``GLMNet_ts``.""" + + def setUp(self): + """Set up for module ``GLMNet_ts``.""" + + def test_known_equation(self): + """GLMNet_ts: Test a known equation with/without n_interval.""" + df_ip = pd.read_csv(path + "test_glmnet_ts1.csv") + df_train_ip = df_ip.iloc[0:len(df_ip)] + mod = GLMNet_ts(df=df_train_ip, + y_var=["y"], + x_var=["x1", "x2"], + lst_lag=[3, 1]) + op = mod.opt + self.assertTrue(0.5 <= np.round(op.get('intercept'), 0) <= 1.5) + self.assertTrue(0.15 <= np.round(op.get('coef')[0], 2) <= 0.25) + self.assertTrue(0.65 <= np.round(op.get('coef')[1], 2) <= 0.75) + self.assertTrue(0.75 <= np.round(op.get('coef')[2], 2) <= 0.85) + self.assertTrue(0.45 <= np.round(op.get('coef')[3], 2) <= 0.55) + mod = GLMNet_ts(df=df_train_ip, + y_var=["y"], + x_var=["x1", "x2"], + lst_lag=[3, 1], + n_interval="week") + op = mod.opt + self.assertTrue(0.5 <= np.round(op.get('intercept'), 0) <= 1.5) + self.assertTrue(0.15 <= np.round(op.get('coef')[0], 2) <= 0.25) + self.assertTrue(0.65 <= np.round(op.get('coef')[1], 2) <= 0.75) + self.assertTrue(0.75 <= np.round(op.get('coef')[2], 2) <= 0.85) + self.assertTrue(0.45 <= np.round(op.get('coef')[3], 2) <= 0.55) + + + def test_predict_target_variable(self): + """GLMNet_ts: Test to predict a target variable with/without n_interval.""" + df_ip = pd.read_csv(path + "test_glmnet_ts1.csv") + # without n_interval + df_train_ip = df_ip.iloc[0:95] + mod = GLMNet_ts(df=df_train_ip, + y_var=["y"], + x_var=["x1", "x2"], + lst_lag=[3, 1]) + op = mod.opt + df_predict = df_ip.iloc[95:len(df_ip)] + y_pred = mod.predict(df_predict) + y_pred = np.round(np.array(y_pred["y"]), 1) + df_exp = df_ip.copy(deep=True) + df_exp['lag_3'] = df_exp["y"].shift(3) + df_exp['lag_1'] = df_exp["y"].shift(1) + df_exp = df_exp[["lag_3", "lag_1", "x1", "x2"]] + df_exp = df_exp.iloc[95:len(df_ip)] + df_exp["y"] = op.get('intercept') + op.get('coef')[0] * df_exp["lag_3"] \ + + op.get('coef')[1] * df_exp["lag_1"] \ + + op.get('coef')[2] * df_exp["x1"] \ + + op.get('coef')[3] * df_exp["x2"] + y_exp = np.round(np.array(df_exp["y"]), 1) + for i, j in zip(y_pred, y_exp): + self.assertTrue(j - 0.1 <= i <= j + 0.1) + # with n_interval + mod = GLMNet_ts(df=df_train_ip, + y_var=["y"], + x_var=["x1", "x2"], + lst_lag=[3, 1], + n_interval="week") + op = mod.opt + df_predict = df_ip.iloc[95:len(df_ip)] + y_pred = mod.predict(df_predict) + y_pred = np.round(np.array(y_pred["y"]), 1) + df_exp = df_ip.copy(deep=True) + df_exp['lag_3'] = df_exp["y"].shift(3) + df_exp['lag_1'] = df_exp["y"].shift(1) + df_exp = df_exp[["lag_3", "lag_1", "x1", "x2"]] + df_exp = df_exp.iloc[95:len(df_ip)] + df_exp["y"] = op.get('intercept') + op.get('coef')[0] * df_exp["lag_3"] \ + + op.get('coef')[1] * df_exp["lag_1"] \ + + op.get('coef')[2] * df_exp["x1"] \ + + op.get('coef')[3] * df_exp["x2"] + y_exp = np.round(np.array(df_exp["y"]), 1) + for i, j in zip(y_pred, y_exp): + self.assertTrue(j - 0.1 <= i <= j + 0.1) + + def test_exit(self): + """GLMNet_ts: Test for missing time instance.""" + df_ip = pd.read_csv(path + "test_glmnet_ts1.csv") + # without n_interval + df_train_ip = df_ip.iloc[0:95] + mod = GLMNet_ts(df=df_train_ip, + y_var=["y"], + x_var=["x1", "x2"], + lst_lag=[3, 1], + n_interval="week") + df_predict = df_ip.iloc[96:len(df_ip)] + with pytest.raises(SystemExit): + df_predict = mod.predict(df_predict) # ============================================================================= From efd835c397692b346df94e244744bf83241bb5c1 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sat, 25 Sep 2021 12:50:18 +0530 Subject: [PATCH 042/116] v0.4.0 changelog: - cleanup of GLMNET time series modules --- README.md | 2 +- logs/cov.out | 17 ++++----- logs/pip.out | 2 +- logs/pylint/lib-glmnet_ts-py.out | 48 ++++--------------------- logs/pylint/lib-model-py.out | 12 +++---- logs/pylint/tests-test_glmnet_ts-py.out | 4 +++ mllib/lib/glmnet_ts.py | 33 +++++++++-------- requirements.txt | 3 +- tests/test_glmnet_ts.py | 28 ++++++++------- 9 files changed, 61 insertions(+), 88 deletions(-) create mode 100644 logs/pylint/tests-test_glmnet_ts-py.out diff --git a/README.md b/README.md index 06a24c8..c4feeaf 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ [![checks](../../actions/workflows/checks.yml/badge.svg)](../../actions/workflows/checks.yml) [![pylint Score](https://mperlet.github.io/pybadge/badges/10.0.svg)](./logs/pylint/) -[![Coverage score](https://img.shields.io/badge/coverage-74%25-red.svg)](./logs/cov.out) +[![Coverage score](https://img.shields.io/badge/coverage-99%25-red.svg)](./logs/cov.out) [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](./LICENSE) *** diff --git a/logs/cov.out b/logs/cov.out index 27f2c36..78d80d2 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -1,8 +1,9 @@ -Name Stmts Miss Cover Missing --------------------------------------------------------------------------------------------- -/media/ph33r/Data/Project/mllib/GitHub/mllib/__init__.py 7 0 100% -/media/ph33r/Data/Project/mllib/GitHub/mllib/lib/__init__.py 7 0 100% -/media/ph33r/Data/Project/mllib/GitHub/mllib/lib/cluster.py 103 0 100% -/media/ph33r/Data/Project/mllib/GitHub/mllib/lib/model.py 137 65 53% 87, 285-304, 308-343, 347-354, 372-409 --------------------------------------------------------------------------------------------- -TOTAL 254 65 74% +Name Stmts Miss Cover Missing +------------------------------------------------------ +mllib/__init__.py 7 0 100% +mllib/lib/__init__.py 7 0 100% +mllib/lib/cluster.py 103 0 100% +mllib/lib/glmnet_ts.py 113 1 99% 88 +mllib/lib/model.py 44 0 100% +------------------------------------------------------ +TOTAL 274 1 99% diff --git a/logs/pip.out b/logs/pip.out index b25fea1..f61bf91 100644 --- a/logs/pip.out +++ b/logs/pip.out @@ -1 +1 @@ -INFO: Successfully saved requirements file in /media/ph33r/Data/Project/mllib/GitHub/requirements.txt +INFO: Successfully saved requirements file in /media/ph33r/Data/Project/mllib/Git/requirements.txt diff --git a/logs/pylint/lib-glmnet_ts-py.out b/logs/pylint/lib-glmnet_ts-py.out index 3ecdf82..77fd809 100644 --- a/logs/pylint/lib-glmnet_ts-py.out +++ b/logs/pylint/lib-glmnet_ts-py.out @@ -1,45 +1,9 @@ ************* Module mllib.lib.glmnet_ts -glmnet_ts.py:22:20: W0621: Redefining name 'y_var' from outer scope (line 74) (redefined-outer-name) -glmnet_ts.py:23:20: W0621: Redefining name 'x_var' from outer scope (line 75) (redefined-outer-name) -glmnet_ts.py:21:0: C0103: Argument name "df" doesn't conform to snake_case naming style (invalid-name) -glmnet_ts.py:67:4: C0103: Variable name "op" doesn't conform to snake_case naming style (invalid-name) -glmnet_ts.py:71:0: C0103: Constant name "df_ip" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:74:0: C0103: Constant name "y_var" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:75:0: C0103: Constant name "x_var" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:77:0: C0103: Constant name "param" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:86:0: C0103: Constant name "df_ip" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:88:0: C0103: Constant name "lag_var" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:89:0: C0103: Constant name "x_var" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:93:0: C0103: Constant name "max_epoch" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:96:0: C0103: Constant name "df_pred_data" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:99:0: C0103: Constant name "df_train" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:100:0: C0103: Constant name "df_test" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:102:0: C0103: Constant name "train_x" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:103:0: C0103: Constant name "train_y" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:106:0: C0103: Constant name "test_x" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:107:0: C0103: Constant name "test_y" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:109:0: C0103: Constant name "test_x" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:110:0: C0103: Constant name "test_y" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:116:0: C0103: Constant name "mod" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:127:0: C0103: Constant name "opt" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:133:0: C0103: Constant name "model" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:134:0: W0127: Assigning the same variable 'opt' to itself (self-assigning-variable) -glmnet_ts.py:134:0: C0103: Constant name "opt" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:138:0: C0103: Constant name "df_predict" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:139:0: C0103: Constant name "df_predict" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:142:0: C0103: Constant name "df_predict" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:143:0: C0103: Constant name "df_predict" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:166:0: C0103: Constant name "y" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:167:0: C0103: Constant name "y_hat" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:168:0: C0103: Constant name "model_summary" doesn't conform to UPPER_CASE naming style (invalid-name) -glmnet_ts.py:168:24: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -glmnet_ts.py:169:24: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -glmnet_ts.py:170:25: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -glmnet_ts.py:171:25: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -glmnet_ts.py:173:0: W0104: Statement seems to have no effect (pointless-statement) -glmnet_ts.py:9:0: W0611: Unused Dict imported from typing (unused-import) -glmnet_ts.py:15:0: W0611: Unused train_test_split imported from sklearn.model_selection as split (unused-import) +glmnet_ts.py:238:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +glmnet_ts.py:239:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +glmnet_ts.py:240:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +glmnet_ts.py:241:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) ------------------------------------------------------------------- -Your code has been rated at 5.38/10 (previous run: 5.38/10, +0.00) +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/logs/pylint/lib-model-py.out b/logs/pylint/lib-model-py.out index 20446f8..8d71b59 100644 --- a/logs/pylint/lib-model-py.out +++ b/logs/pylint/lib-model-py.out @@ -1,12 +1,8 @@ ************* Module mllib.lib.model -model.py:204:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -model.py:205:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -model.py:206:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -model.py:207:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -model.py:349:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -model.py:350:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -model.py:351:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -model.py:352:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:140:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:141:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:142:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:143:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/logs/pylint/tests-test_glmnet_ts-py.out b/logs/pylint/tests-test_glmnet_ts-py.out new file mode 100644 index 0000000..d7495ee --- /dev/null +++ b/logs/pylint/tests-test_glmnet_ts-py.out @@ -0,0 +1,4 @@ + +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) + diff --git a/mllib/lib/glmnet_ts.py b/mllib/lib/glmnet_ts.py index 3d37305..9a1ddd3 100644 --- a/mllib/lib/glmnet_ts.py +++ b/mllib/lib/glmnet_ts.py @@ -224,14 +224,17 @@ def _fit(self) -> None: def _compute_metrics(self): """Compute commonly used metrics to evaluate the model.""" - y = self.df[self.y_var].iloc[\ - max(self.lst_lag):len(self.df), 0].values.tolist() + y = self.df[self.y_var].iloc[max(self.lst_lag): + len(self.df), 0].values.tolist() if self.n_interval is None: - y_hat = list(self.predict(self.df[\ - self.x_var][max(self.lst_lag):len(self.df)])["y"].values) + y_hat = list(self.predict(self.df[self.x_var][max(self.lst_lag): + len(self.df)])["y"] + .values) else: - y_hat = list(self.predict(self.df[self.x_var +\ - [self.n_interval]][max(self.lst_lag):len(self.df)])["y"].values) + y_hat = list(self.predict(self.df[self.x_var + + [self.n_interval]] + [max(self.lst_lag):len(self.df)])["y"] + .values) model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), "mae": np.round(metrics.mae(y, y_hat), 3), "mape": np.round(metrics.mape(y, y_hat), 3), @@ -264,13 +267,13 @@ def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: df_predict = df_predict.reset_index(drop=True) df_predict = \ df_predict.set_index(df_predict.index+self.max_epoch+1) - elif len(df_predict) != (df_predict[self.n_interval].max() \ - - df_predict[self.n_interval].min() + 1) \ - or df_predict[self.n_interval].min() \ - > self.max_epoch+1: + elif len(df_predict) != (df_predict[self.n_interval].max() + - df_predict[self.n_interval].min() + 1)\ + or df_predict[self.n_interval].min()\ + > self.max_epoch + 1: sys.exit("Missing time instance found in input data") else: - df_ip = self.df[self.df[self.n_interval] \ + df_ip = self.df[self.df[self.n_interval] <= df_predict[self.n_interval].min()] df_predict = df_predict.sort_values(by=self.n_interval) df_predict = df_predict.set_index(self.n_interval) @@ -278,15 +281,15 @@ def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: df_predict["y"] = -1 for i in range(0, len(df_predict)): df_pred = pd.DataFrame(df_predict.iloc[i]) - df_pred = df_pred.T # Transpose + df_pred = df_pred.T period_val = df_pred.index df_pred = df_pred[self.x_var].reset_index(drop=True) df_pred_x = pd.DataFrame( - {"lag_"+str(self.lst_lag[0]): df_ip.iloc[len(df_ip)\ - -self.lst_lag[0]][self.y_var]}) + {"lag_" + str(self.lst_lag[0]): + df_ip.iloc[len(df_ip) - self.lst_lag[0]][self.y_var]}) for j in range(1, len(self.lst_lag)): df_tmp = pd.DataFrame( - {"lag_"+str(self.lst_lag[j]): \ + {"lag_"+str(self.lst_lag[j]): df_ip.iloc[len(df_ip)-self.lst_lag[j]][self.y_var]}) df_pred_x = df_pred_x.join(df_tmp) df_pred_x = df_pred_x.reset_index(drop=True) diff --git a/requirements.txt b/requirements.txt index ec389bf..25c2389 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,4 +1,5 @@ +pytest==5.3.5 Cython==0.29.15 numpy==1.19.5 pandas==1.1.3 -scikit_learn==0.24.2 +scikit_learn==1.0 diff --git a/tests/test_glmnet_ts.py b/tests/test_glmnet_ts.py index 7168736..d09e0c3 100644 --- a/tests/test_glmnet_ts.py +++ b/tests/test_glmnet_ts.py @@ -91,10 +91,12 @@ def test_lag_vars_specified(self): y_var=["y"], x_var=["x1", "x2"], lst_lag=[3, 2, 1]) - exp_op = df_ip.iloc[:, [1, 4, 5, 6, 7, 8]].dropna().reset_index(drop=True) + exp_op = df_ip.iloc[:, [1, 4, 5, 6, 7, 8]]\ + .dropna().reset_index(drop=True) self.assertEqual(df_op.equals(exp_op), True) self.assertEqual([3, 2, 1], lst_lag) + class TestGLMNet_ts(unittest.TestCase): """Test suite for module ``GLMNet_ts``.""" @@ -127,9 +129,8 @@ def test_known_equation(self): self.assertTrue(0.75 <= np.round(op.get('coef')[2], 2) <= 0.85) self.assertTrue(0.45 <= np.round(op.get('coef')[3], 2) <= 0.55) - def test_predict_target_variable(self): - """GLMNet_ts: Test to predict a target variable with/without n_interval.""" + """GLMNet_ts: Test predictor with/without n_interval.""" df_ip = pd.read_csv(path + "test_glmnet_ts1.csv") # without n_interval df_train_ip = df_ip.iloc[0:95] @@ -146,10 +147,11 @@ def test_predict_target_variable(self): df_exp['lag_1'] = df_exp["y"].shift(1) df_exp = df_exp[["lag_3", "lag_1", "x1", "x2"]] df_exp = df_exp.iloc[95:len(df_ip)] - df_exp["y"] = op.get('intercept') + op.get('coef')[0] * df_exp["lag_3"] \ - + op.get('coef')[1] * df_exp["lag_1"] \ - + op.get('coef')[2] * df_exp["x1"] \ - + op.get('coef')[3] * df_exp["x2"] + df_exp["y"] = op.get('intercept')\ + + op.get('coef')[0] * df_exp["lag_3"]\ + + op.get('coef')[1] * df_exp["lag_1"]\ + + op.get('coef')[2] * df_exp["x1"]\ + + op.get('coef')[3] * df_exp["x2"] y_exp = np.round(np.array(df_exp["y"]), 1) for i, j in zip(y_pred, y_exp): self.assertTrue(j - 0.1 <= i <= j + 0.1) @@ -168,15 +170,17 @@ def test_predict_target_variable(self): df_exp['lag_1'] = df_exp["y"].shift(1) df_exp = df_exp[["lag_3", "lag_1", "x1", "x2"]] df_exp = df_exp.iloc[95:len(df_ip)] - df_exp["y"] = op.get('intercept') + op.get('coef')[0] * df_exp["lag_3"] \ - + op.get('coef')[1] * df_exp["lag_1"] \ - + op.get('coef')[2] * df_exp["x1"] \ - + op.get('coef')[3] * df_exp["x2"] + df_exp["y"] = op.get('intercept')\ + + op.get('coef')[0] * df_exp["lag_3"]\ + + op.get('coef')[1] * df_exp["lag_1"]\ + + op.get('coef')[2] * df_exp["x1"]\ + + op.get('coef')[3] * df_exp["x2"] y_exp = np.round(np.array(df_exp["y"]), 1) for i, j in zip(y_pred, y_exp): self.assertTrue(j - 0.1 <= i <= j + 0.1) - def test_exit(self): + @staticmethod + def test_for_exit(): """GLMNet_ts: Test for missing time instance.""" df_ip = pd.read_csv(path + "test_glmnet_ts1.csv") # without n_interval From 531efd1b6b97381576e4def8dc721ee8662033bf Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sat, 25 Sep 2021 17:24:12 +0530 Subject: [PATCH 043/116] v0.4.0 --- README.md | 2 +- data/input/iris.csv | 151 --- data/input/store.csv | 1843 -------------------------------- data/input/test_glmnet_ts.csv | 105 -- data/input/test_glmnet_ts1.csv | 105 -- data/input/test_lag_var.csv | 13 - data/input/test_timeseries.csv | 105 -- logs/cov.out | 17 +- mllib/lib/glmnet_ts.py | 302 ------ requirements.txt | 3 +- tests/test_glmnet_ts.py | 203 ---- 11 files changed, 10 insertions(+), 2839 deletions(-) delete mode 100644 data/input/iris.csv delete mode 100644 data/input/store.csv delete mode 100644 data/input/test_glmnet_ts.csv delete mode 100644 data/input/test_glmnet_ts1.csv delete mode 100644 data/input/test_lag_var.csv delete mode 100644 data/input/test_timeseries.csv delete mode 100644 mllib/lib/glmnet_ts.py delete mode 100644 tests/test_glmnet_ts.py diff --git a/README.md b/README.md index c4feeaf..9be7aef 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ [![checks](../../actions/workflows/checks.yml/badge.svg)](../../actions/workflows/checks.yml) [![pylint Score](https://mperlet.github.io/pybadge/badges/10.0.svg)](./logs/pylint/) -[![Coverage score](https://img.shields.io/badge/coverage-99%25-red.svg)](./logs/cov.out) +[![Coverage score](https://img.shields.io/badge/coverage-100%25-dagreen.svg)](./logs/cov.out) [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](./LICENSE) *** diff --git a/data/input/iris.csv b/data/input/iris.csv deleted file mode 100644 index d93a29c..0000000 --- a/data/input/iris.csv +++ /dev/null @@ -1,151 +0,0 @@ -x3,x4,x1,x2,y -5.1,3.5,1.4,0.2,0 -4.9,3.0,1.4,0.2,0 -4.7,3.2,1.3,0.2,0 -4.6,3.1,1.5,0.2,0 -5.0,3.6,1.4,0.2,0 -5.4,3.9,1.7,0.4,0 -4.6,3.4,1.4,0.3,0 -5.0,3.4,1.5,0.2,0 -4.4,2.9,1.4,0.2,0 -4.9,3.1,1.5,0.1,0 -5.4,3.7,1.5,0.2,0 -4.8,3.4,1.6,0.2,0 -4.8,3.0,1.4,0.1,0 -4.3,3.0,1.1,0.1,0 -5.8,4.0,1.2,0.2,0 -5.7,4.4,1.5,0.4,0 -5.4,3.9,1.3,0.4,0 -5.1,3.5,1.4,0.3,0 -5.7,3.8,1.7,0.3,0 -5.1,3.8,1.5,0.3,0 -5.4,3.4,1.7,0.2,0 -5.1,3.7,1.5,0.4,0 -4.6,3.6,1.0,0.2,0 -5.1,3.3,1.7,0.5,0 -4.8,3.4,1.9,0.2,0 -5.0,3.0,1.6,0.2,0 -5.0,3.4,1.6,0.4,0 -5.2,3.5,1.5,0.2,0 -5.2,3.4,1.4,0.2,0 -4.7,3.2,1.6,0.2,0 -4.8,3.1,1.6,0.2,0 -5.4,3.4,1.5,0.4,0 -5.2,4.1,1.5,0.1,0 -5.5,4.2,1.4,0.2,0 -4.9,3.1,1.5,0.2,0 -5.0,3.2,1.2,0.2,0 -5.5,3.5,1.3,0.2,0 -4.9,3.6,1.4,0.1,0 -4.4,3.0,1.3,0.2,0 -5.1,3.4,1.5,0.2,0 -5.0,3.5,1.3,0.3,0 -4.5,2.3,1.3,0.3,0 -4.4,3.2,1.3,0.2,0 -5.0,3.5,1.6,0.6,0 -5.1,3.8,1.9,0.4,0 -4.8,3.0,1.4,0.3,0 -5.1,3.8,1.6,0.2,0 -4.6,3.2,1.4,0.2,0 -5.3,3.7,1.5,0.2,0 -5.0,3.3,1.4,0.2,0 -7.0,3.2,4.7,1.4,1 -6.4,3.2,4.5,1.5,1 -6.9,3.1,4.9,1.5,1 -5.5,2.3,4.0,1.3,1 -6.5,2.8,4.6,1.5,1 -5.7,2.8,4.5,1.3,1 -6.3,3.3,4.7,1.6,1 -4.9,2.4,3.3,1.0,1 -6.6,2.9,4.6,1.3,1 -5.2,2.7,3.9,1.4,1 -5.0,2.0,3.5,1.0,1 -5.9,3.0,4.2,1.5,1 -6.0,2.2,4.0,1.0,1 -6.1,2.9,4.7,1.4,1 -5.6,2.9,3.6,1.3,1 -6.7,3.1,4.4,1.4,1 -5.6,3.0,4.5,1.5,1 -5.8,2.7,4.1,1.0,1 -6.2,2.2,4.5,1.5,1 -5.6,2.5,3.9,1.1,1 -5.9,3.2,4.8,1.8,1 -6.1,2.8,4.0,1.3,1 -6.3,2.5,4.9,1.5,1 -6.1,2.8,4.7,1.2,1 -6.4,2.9,4.3,1.3,1 -6.6,3.0,4.4,1.4,1 -6.8,2.8,4.8,1.4,1 -6.7,3.0,5.0,1.7,1 -6.0,2.9,4.5,1.5,1 -5.7,2.6,3.5,1.0,1 -5.5,2.4,3.8,1.1,1 -5.5,2.4,3.7,1.0,1 -5.8,2.7,3.9,1.2,1 -6.0,2.7,5.1,1.6,1 -5.4,3.0,4.5,1.5,1 -6.0,3.4,4.5,1.6,1 -6.7,3.1,4.7,1.5,1 -6.3,2.3,4.4,1.3,1 -5.6,3.0,4.1,1.3,1 -5.5,2.5,4.0,1.3,1 -5.5,2.6,4.4,1.2,1 -6.1,3.0,4.6,1.4,1 -5.8,2.6,4.0,1.2,1 -5.0,2.3,3.3,1.0,1 -5.6,2.7,4.2,1.3,1 -5.7,3.0,4.2,1.2,1 -5.7,2.9,4.2,1.3,1 -6.2,2.9,4.3,1.3,1 -5.1,2.5,3.0,1.1,1 -5.7,2.8,4.1,1.3,1 -6.3,3.3,6.0,2.5,2 -5.8,2.7,5.1,1.9,2 -7.1,3.0,5.9,2.1,2 -6.3,2.9,5.6,1.8,2 -6.5,3.0,5.8,2.2,2 -7.6,3.0,6.6,2.1,2 -4.9,2.5,4.5,1.7,2 -7.3,2.9,6.3,1.8,2 -6.7,2.5,5.8,1.8,2 -7.2,3.6,6.1,2.5,2 -6.5,3.2,5.1,2.0,2 -6.4,2.7,5.3,1.9,2 -6.8,3.0,5.5,2.1,2 -5.7,2.5,5.0,2.0,2 -5.8,2.8,5.1,2.4,2 -6.4,3.2,5.3,2.3,2 -6.5,3.0,5.5,1.8,2 -7.7,3.8,6.7,2.2,2 -7.7,2.6,6.9,2.3,2 -6.0,2.2,5.0,1.5,2 -6.9,3.2,5.7,2.3,2 -5.6,2.8,4.9,2.0,2 -7.7,2.8,6.7,2.0,2 -6.3,2.7,4.9,1.8,2 -6.7,3.3,5.7,2.1,2 -7.2,3.2,6.0,1.8,2 -6.2,2.8,4.8,1.8,2 -6.1,3.0,4.9,1.8,2 -6.4,2.8,5.6,2.1,2 -7.2,3.0,5.8,1.6,2 -7.4,2.8,6.1,1.9,2 -7.9,3.8,6.4,2.0,2 -6.4,2.8,5.6,2.2,2 -6.3,2.8,5.1,1.5,2 -6.1,2.6,5.6,1.4,2 -7.7,3.0,6.1,2.3,2 -6.3,3.4,5.6,2.4,2 -6.4,3.1,5.5,1.8,2 -6.0,3.0,4.8,1.8,2 -6.9,3.1,5.4,2.1,2 -6.7,3.1,5.6,2.4,2 -6.9,3.1,5.1,2.3,2 -5.8,2.7,5.1,1.9,2 -6.8,3.2,5.9,2.3,2 -6.7,3.3,5.7,2.5,2 -6.7,3.0,5.2,2.3,2 -6.3,2.5,5.0,1.9,2 -6.5,3.0,5.2,2.0,2 -6.2,3.4,5.4,2.3,2 -5.9,3.0,5.1,1.8,2 diff --git a/data/input/store.csv b/data/input/store.csv deleted file mode 100644 index 55e3503..0000000 --- a/data/input/store.csv +++ /dev/null @@ -1,1843 +0,0 @@ -y,x1,x2,x3,x4,x5,x6,x7,x8 -3,R100 ,R131 ,17413.06,1.02,80844,5,10,A -4,R100 ,R114 ,23290.41,1.36,82980,5,10,A -5,R100 ,R163 ,18241.02,1.06,80933,5,10,A -12,R100 ,R117 ,20692.01,1.21,69184,7,10,A -13,R300 ,R352 ,8252.73,0.48,69674,6,10,A -19,R100 ,R129 ,16169.47,0.94,74595,6,10,A -26,R100 ,R117 ,20397.41,1.19,72984,7,10,A -43,R300 ,R301 ,18933.64,1.1,81050,6,10,A -48,R100 ,R175 ,14473.25,0.84,78121,8,10,A -52,R100 ,R126 ,17470.96,1.02,73182,5,10,A -55,R300 ,R352 ,11862.25,0.69,75618,6,10,A -61,R100 ,R143 ,31066.83,1.81,79900,8,10,A -64,R100 ,R176 ,26316.01,1.53,80978,8,10,A -67,R300 ,R326 ,8210.73,0.48,74609,6,10,A -68,R100 ,R102 ,13214,0.77,72394,5,10,A -69,R100 ,R105 ,16713.05,0.97,72221,7,10,A -75,R300 ,R311 ,11314.14,0.66,77492,6,10,A -76,R100 ,R143 ,22717.36,1.32,79855,8,10,A -78,R100 ,R147 ,11464.04,0.67,62523,5,10,A -79,R100 ,R176 ,16834.94,0.98,74041,8,10,A -80,R300 ,R326 ,11171.17,0.65,64431,6,10,A -82,R100 ,R110 ,13369.59,0.78,80681,5,10,A -83,R300 ,R352 ,8377.58,0.49,74591,6,10,A -85,R100 ,R143 ,17766.32,1.04,59142,8,10,A -86,R100 ,R127 ,14260.12,0.83,59850,7,10,A -90,R300 ,R332 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-304,R200 ,R231 ,13578.56,0.79,64076,9,10,A -305,R200 ,R231 ,15078.17,0.88,66946,9,10,A -307,R200 ,R205 ,12927.6,0.75,76103,9,10,A -309,R200 ,R240 ,13776.63,0.8,64878,9,10,A -310,R200 ,R246 ,14322.45,0.84,67605,9,10,A -311,R200 ,R220 ,18370.87,1.07,60950,9,10,A -312,R200 ,R220 ,17400.32,1.01,74884,9,10,A -313,R200 ,R246 ,22900.55,1.34,72559,9,10,A -314,R200 ,R213 ,13669.59,0.8,62438,9,10,A -317,R200 ,R208 ,23051.67,1.34,64525,9,10,A -318,R200 ,R208 ,18353.7,1.07,78674,9,10,A -319,R300 ,R379 ,13809.68,0.81,72008,9,10,A -320,R200 ,R210 ,27109.95,1.58,86991,9,10,A -321,R200 ,R210 ,16997.32,0.99,73450,9,10,A -322,R200 ,R210 ,17208.92,1,64752,9,10,A -323,R200 ,R233 ,15363.32,0.9,80548,9,10,A -324,R200 ,R233 ,21284.51,1.24,86940,9,10,A -328,R200 ,R237 ,43726.31,2.55,70781,9,10,A -330,R200 ,R247 ,12027.58,0.7,68082,9,10,A -331,R200 ,R247 ,17419.86,1.02,66921,9,10,A -332,R200 ,R247 ,12368.4,0.72,65852,9,10,A -335,R300 ,R305 ,11422.19,0.67,66727,6,10,A -336,R200 ,R202 ,21101.16,1.23,71527,9,10,A -337,R200 ,R264 ,14635.59,0.85,66550,10,10,A -338,R200 ,R264 ,16602.57,0.97,76473,10,10,A -339,R200 ,R265 ,16888.18,0.99,58755,10,10,A -341,R200 ,R259 ,22173.45,1.29,76337,10,10,A -342,R200 ,R259 ,15013.57,0.88,71806,10,10,A -343,R200 ,R258 ,13540.57,0.79,75090,10,10,A -344,R200 ,R258 ,19060.47,1.11,74577,10,10,A -345,R200 ,R258 ,19543.35,1.14,76378,10,10,A -346,R200 ,R260 ,22555.49,1.32,82049,10,10,A -347,R100 ,R135 ,11678.05,0.68,65415,5,10,A -348,R200 ,R264 ,16714.12,0.97,65578,10,10,A -349,R200 ,R262 ,14038.88,0.82,66290,10,10,A -350,R100 ,R135 ,12169.44,0.71,65379,5,10,A -351,R100 ,R134 ,12084.35,0.7,66018,5,10,A -353,R100 ,R137 ,12788.3,0.75,62972,5,10,A -354,R100 ,R148 ,13587.71,0.79,76345,5,10,A -355,R100 ,R144 ,11952.45,0.7,66017,7,10,A -356,R300 ,R378 ,16005.66,0.93,69067,6,10,A -357,R300 ,R378 ,16083.17,0.94,82732,6,10,A -358,R200 ,R213 ,15717.28,0.92,67402,9,10,A -359,R200 ,R205 ,22621.42,1.32,67096,9,10,A -360,R100 ,R163 ,13269.87,0.77,74426,5,10,A -361,R100 ,R137 ,10869.13,0.63,61750,5,10,A -362,R200 ,R258 ,11993.62,0.7,66740,10,10,A -363,R300 ,R377 ,17075.5,1,66706,9,10,A -364,R100 ,R146 ,15159.91,0.88,66271,5,10,A -365,R100 ,R137 ,13262.49,0.77,66062,5,10,A -366,R100 ,R168 ,17256.12,1.01,65990,4,10,A -373,R300 ,R334 ,14656.24,0.85,80648,4,10,A -397,R100 ,R136 ,12922.53,0.75,67248,5,10,A -530,R100 ,R107 ,19923.38,1.16,103457,7,10,A -531,R100 ,R144 ,16151.47,0.94,84704,7,10,A -532,R100 ,R107 ,17833.54,1.04,98036,7,10,A -533,R100 ,R127 ,34191.9,1.99,89039,7,10,A -604,R100 ,R136 ,14096.32,0.82,67111,5,10,A -606,R200 ,R262 ,17183.87,1,66151,10,10,A -607,R200 ,R262 ,14899.87,0.87,66057,10,10,A -608,R200 ,R260 ,15644.36,0.91,66405,10,10,A -609,R200 ,R260 ,11360.22,0.66,60279,10,10,A -610,R100 ,R136 ,11809.55,0.69,66444,5,10,A -611,R100 ,R137 ,11098.5,0.65,65653,5,10,A -612,R200 ,R260 ,16885.54,0.98,74348,10,10,A -613,R200 ,R260 ,12190.76,0.71,66333,10,10,A -614,R200 ,R250 ,12850.16,0.75,66231,9,10,A -615,R200 ,R208 ,13925.71,0.81,66575,9,10,A -616,R100 ,R137 ,10833.78,0.63,66576,5,10,A -617,R100 ,R161 ,20871.26,1.22,66088,10,10,A -618,R100 ,R177 ,12361,0.72,50149,8,10,A -619,R100 ,R126 ,19079.03,1.11,98794,5,10,A -620,R100 ,R111 ,14951.87,0.87,67544,5,10,A -622,R100 ,R148 ,11238.4,0.66,65458,5,10,A -623,R100 ,R148 ,14675.69,0.86,66573,5,10,A -624,R100 ,R148 ,11932.04,0.7,65750,5,10,A -625,R300 ,R378 ,15289.87,0.89,75376,6,10,A -626,R200 ,R237 ,13135.78,0.77,68252,9,10,A -627,R200 ,R259 ,14874.91,0.87,66207,10,10,A -628,R200 ,R262 ,18734.17,1.09,50594,10,10,A -632,R100 ,R134 ,11463.05,0.67,66097,5,10,A -634,R100 ,R148 ,15091.59,0.88,66189,5,10,A -636,R100 ,R161 ,16625.41,0.97,66748,10,10,A -637,R200 ,R259 ,13760.15,0.8,61785,10,10,A -638,R300 ,R318 ,12475.7,0.73,66168,4,10,A -639,R300 ,R374 ,12022.38,0.7,75334,9,10,A -641,R200 ,R213 ,15340.49,0.89,75407,9,10,A -642,R300 ,R310 ,16165.36,0.94,66799,4,10,A -643,R100 ,R163 ,19057.3,1.11,92458,5,10,A -645,R300 ,R315 ,11095.3,0.65,79182,4,10,A -647,R300 ,R313 ,13955.94,0.81,75669,4,10,A -649,R300 ,R324 ,15011.35,0.88,70602,4,10,A -650,R300 ,R365 ,10206.04,0.6,66253,4,10,A -652,R300 ,R314 ,13283.59,0.77,66845,4,10,A -654,R300 ,R354 ,15300.77,0.89,76687,4,10,A -655,R300 ,R314 ,13824.79,0.81,74609,4,10,A -656,R300 ,R314 ,11401.5,0.66,73212,4,10,A -657,R100 ,R114 ,16250.62,0.95,72026,5,10,A -658,R100 ,R143 ,13334.06,0.78,56072,5,10,A -659,R100 ,R114 ,14857.14,0.87,73784,5,10,A -660,R200 ,R248 ,18044.54,1.05,82029,9,10,A -661,R100 ,R131 ,11975.33,0.7,55260,5,10,A -662,R100 ,R102 ,12920.75,0.75,73838,5,10,A -663,R100 ,R111 ,14683.45,0.86,75436,5,10,A -664,R100 ,R131 ,28491.6,1.66,90014,5,10,A -665,R300 ,R354 ,12082.51,0.7,75447,4,10,A -666,R100 ,R173 ,18710.74,1.09,85468,5,10,A -669,R300 ,R315 ,13741.96,0.8,76207,4,10,A -670,R100 ,R147 ,17538.55,1.02,85753,5,10,A -671,R100 ,R136 ,15063.66,0.88,77104,5,10,A -672,R100 ,R135 ,9472.64,0.55,56980,5,10,A -673,R100 ,R148 ,12272.15,0.72,74994,5,10,A -674,R100 ,R117 ,11906.48,0.69,74825,5,10,A -675,R200 ,R247 ,12611.32,0.74,66790,9,10,A -676,R200 ,R245 ,12996.93,0.76,76516,9,10,A -677,R200 ,R244 ,15104.15,0.88,74961,9,10,A -679,R100 ,R161 ,13577.39,0.79,56269,10,10,A -680,R300 ,R380 ,12815.67,0.75,66975,9,10,A -681,R200 ,R259 ,14110.54,0.82,75520,10,10,A -682,R300 ,R332 ,14346.29,0.84,85748,4,10,A -684,R300 ,R304 ,14466.89,0.84,74003,6,10,A -685,R200 ,R219 ,14253.86,0.83,74776,9,10,A -686,R300 ,R359 ,13970.9,0.81,74939,4,10,A -687,R300 ,R324 ,22537.92,1.31,73964,4,10,A -688,R300 ,R313 ,13191.38,0.77,74889,4,10,A -689,R300 ,R360 ,11874.18,0.69,79256,4,10,A -690,R300 ,R320 ,12607.31,0.74,75475,4,10,A -692,R200 ,R212 ,16675.5,0.97,74657,9,10,A -693,R100 ,R131 ,14323.35,0.84,75068,5,10,A -694,R100 ,R102 ,19843.7,1.16,79452,5,10,A -695,R300 ,R369 ,18813.73,1.1,79827,4,10,A -696,R200 ,R264 ,11071.47,0.65,56332,10,10,A -699,R100 ,R178 ,15547.59,0.91,75653,10,10,A -700,R300 ,R376 ,13718.33,0.8,79122,9,10,A -731,R100 ,R133 ,14704.79,0.86,80185,5,10,A -732,R100 ,R121 ,16922.39,0.99,79893,5,10,A -733,R100 ,R147 ,11778.71,0.69,56463,5,10,A -734,R300 ,R348 ,13176.85,0.77,57593,4,10,A -735,R300 ,R376 ,9886.67,0.58,65587,9,10,A -736,R200 ,R232 ,14899.71,0.87,79654,9,10,A -737,R200 ,R211 ,11658.33,0.68,79226,9,10,A -738,R200 ,R218 ,12452.37,0.73,69457,9,10,A -739,R100 ,R177 ,15816.5,0.92,74947,8,10,A -740,R300 ,R348 ,13188.93,0.77,68100,4,10,A -746,R300 ,R349 ,17283.73,1.01,82780,4,10,A -747,R300 ,R346 ,12341.8,0.72,74525,4,10,A -749,R300 ,R335 ,10602.2,0.62,83248,4,10,A -750,R300 ,R348 ,16034.87,0.94,56541,4,10,A -751,R100 ,R126 ,12347.29,0.72,75151,5,10,A -752,R100 ,R118 ,12834.54,0.75,72085,7,10,A -753,R100 ,R112 ,14159.83,0.83,75137,5,10,A -754,R300 ,R331 ,13030.96,0.76,75437,4,10,A -755,R300 ,R371 ,17954.69,1.05,81291,4,10,A -756,R300 ,R351 ,12277.07,0.72,56090,4,10,A -757,R100 ,R140 ,11394.52,0.66,71676,4,10,A -758,R300 ,R321 ,9805.5,0.57,75314,6,10,A -759,R400 ,R466 ,13812.66,0.81,82346,3,10,A -760,R200 ,R265 ,12263.55,0.72,75243,10,10,A -761,R200 ,R205 ,12517.46,0.73,79627,9,10,A -762,R300 ,R355 ,13260.1,0.77,75079,4,10,A -766,R200 ,R258 ,15063.67,0.88,57588,10,10,A -767,R200 ,R206 ,11838.62,0.69,79816,9,10,A -768,R100 ,R178 ,14300.03,0.83,79041,8,10,A -769,R300 ,R374 ,12764.85,0.74,57193,6,10,A -770,R300 ,R321 ,33605.62,1.96,75023,6,10,A -771,R300 ,R327 ,12210.47,0.71,77443,6,10,A -772,R400 ,R466 ,14169.17,0.83,79977,3,10,A -773,R100 ,R140 ,10690.24,0.62,74470,5,10,A -774,R100 ,R167 ,13946.17,0.81,70113,7,10,A -775,R300 ,R302 ,11675,0.68,81270,6,10,A -778,R300 ,R336 ,11251.62,0.66,83741,4,10,A -779,R100 ,R168 ,10057.59,0.59,55763,4,10,A -780,R100 ,R168 ,14748.17,0.86,75680,4,10,A -792,R100 ,R174 ,12913.43,0.75,83730,5,10,A -793,R100 ,R171 ,12900.57,0.75,82156,5,10,A -794,R100 ,R171 ,18977.98,1.11,80586,5,10,A -795,R300 ,R351 ,12827.42,0.75,74892,4,10,A -796,R300 ,R335 ,12221.83,0.71,62396,4,10,A -797,R300 ,R359 ,11817.54,0.69,75447,4,10,A -798,R300 ,R314 ,11531.76,0.67,83273,4,10,A -799,R300 ,R354 ,14277.17,0.83,80716,4,10,A -800,R300 ,R304 ,15227.79,0.89,75364,6,10,A -801,R300 ,R305 ,12687.79,0.74,74903,6,10,A -802,R300 ,R305 ,10382.85,0.61,81104,6,10,A -803,R100 ,R105 ,12177.95,0.71,73609,7,10,A -804,R100 ,R111 ,14030.28,0.82,95593,7,10,A -805,R100 ,R146 ,11351.29,0.66,55502,5,10,A -806,R100 ,R146 ,11181.7,0.65,55848,5,10,A -807,R100 ,R128 ,14802.49,0.86,75358,5,10,A -808,R100 ,R128 ,14435.58,0.84,76023,5,10,A -809,R100 ,R146 ,14463.27,0.84,75443,5,10,A -810,R100 ,R150 ,18293.01,1.07,79359,5,10,A -811,R300 ,R348 ,11270.38,0.66,74535,4,10,A -812,R300 ,R354 ,13458.47,0.78,76779,4,10,A -813,R300 ,R320 ,12430.83,0.73,83627,4,10,A -815,R300 ,R318 ,18275.95,1.07,93937,4,10,A -816,R300 ,R360 ,16732.91,0.98,83497,4,10,A -817,R300 ,R354 ,12219.45,0.71,74986,4,10,A -818,R300 ,R320 ,16331.83,0.95,95399,4,10,A -819,R100 ,R134 ,14761.37,0.86,75749,5,10,A -820,R100 ,R124 ,13094,0.76,74449,5,10,A -821,R100 ,R114 ,13080.87,0.76,55736,5,10,A -822,R300 ,R374 ,13598.9,0.79,73133,6,10,A -823,R300 ,R374 ,10773.36,0.63,73354,6,10,A -824,R300 ,R305 ,16570.77,0.97,73531,6,10,A -825,R300 ,R375 ,21786.15,1.27,82399,9,10,A -826,R300 ,R373 ,14130.02,0.82,77967,9,10,A -827,R200 ,R247 ,14627.47,0.85,77096,9,10,A -828,R200 ,R237 ,14267.82,0.83,79853,9,10,A -830,R200 ,R265 ,14285.9,0.83,75195,10,10,A -831,R100 ,R176 ,9757.66,0.57,54546,7,10,A -832,R300 ,R378 ,10729.06,0.63,54430,6,10,A -833,R100 ,R112 ,21095.08,1.23,94531,5,10,A -834,R100 ,R122 ,10162.99,0.59,74093,5,10,A -835,R100 ,R122 ,17435.22,1.02,95756,5,10,A -836,R100 ,R122 ,18008.8,1.05,94990,5,10,A -837,R100 ,R141 ,18986.37,1.11,74725,5,10,A -838,R100 ,R115 ,16768.37,0.98,77118,5,10,A -839,R100 ,R115 ,16029.09,0.93,81683,5,10,A -840,R100 ,R115 ,18403.36,1.07,94895,5,10,A -841,R100 ,R145 ,14517.66,0.85,73806,5,10,A -842,R100 ,R121 ,13751.94,0.8,81006,5,10,A -843,R100 ,R121 ,19472.96,1.14,73299,5,10,A -844,R300 ,R348 ,18103.13,1.06,79801,4,10,A -845,R300 ,R313 ,12493.38,0.73,75701,4,10,A -847,R100 ,R114 ,17040.68,0.99,82758,5,10,A -848,R100 ,R143 ,11848.11,0.69,56972,8,10,A -849,R300 ,R374 ,15576.15,0.91,73085,6,10,A -850,R300 ,R373 ,12381.32,0.72,75112,9,10,A -851,R300 ,R375 ,10456.67,0.61,79594,9,10,A -852,R200 ,R212 ,13930.61,0.81,75152,9,10,A -853,R200 ,R246 ,14804.51,0.86,80007,9,10,A -854,R300 ,R376 ,12662.51,0.74,79382,9,10,A -855,R300 ,R376 ,12077.75,0.7,75102,9,10,A -856,R100 ,R107 ,11568.85,0.67,56822,7,10,A -857,R100 ,R107 ,12676.07,0.74,72247,7,10,A -858,R300 ,R364 ,12123.38,0.71,81664,6,10,A -859,R100 ,R143 ,11344.36,0.66,56053,8,10,A -860,R100 ,R127 ,10387.94,0.61,57143,7,10,A -861,R100 ,R131 ,14089.19,0.82,69349,5,10,A -862,R100 ,R101 ,17025.68,0.99,75690,5,10,A -863,R100 ,R128 ,16827.45,0.98,75267,5,10,A -864,R100 ,R110 ,13243.49,0.77,57323,5,10,A -865,R100 ,R150 ,16207.49,0.95,74598,5,10,A -866,R100 ,R121 ,17452.99,1.02,74472,5,10,A -867,R100 ,R115 ,15276.27,0.89,78734,5,10,A -868,R100 ,R145 ,13700.88,0.8,72395,5,10,A -870,R100 ,R133 ,14944.44,0.87,73340,5,10,A -871,R100 ,R147 ,14713.99,0.86,75927,5,10,A -872,R100 ,R137 ,19656.7,1.15,83744,5,10,A -873,R300 ,R324 ,14953.98,0.87,82790,4,10,A -874,R300 ,R313 ,11707.98,0.68,78991,4,10,A -875,R300 ,R352 ,8397.58,0.49,80019,6,10,A -876,R300 ,R321 ,7788.55,0.45,75175,6,10,A -877,R300 ,R367 ,15207.69,0.89,79749,4,10,A -878,R100 ,R105 ,12148.5,0.71,70402,7,10,A -879,R100 ,R107 ,10502.31,0.61,57554,7,10,A -880,R100 ,R122 ,14841.71,0.87,81730,5,10,A -881,R100 ,R138 ,10260.59,0.6,75977,5,10,A -882,R300 ,R303 ,13883.89,0.81,75518,6,10,A -883,R200 ,R236 ,25053.52,1.46,80938,9,10,A -884,R300 ,R377 ,12522.09,0.73,56068,9,10,A -885,R100 ,R161 ,22473.63,1.31,83090,8,10,A -887,R300 ,R303 ,11557.09,0.67,57918,6,10,A -888,R300 ,R311 ,11238.45,0.66,70353,6,10,A -891,R100 ,R127 ,10641.29,0.62,56494,5,10,A -893,R100 ,R122 ,9777.19,0.57,75476,5,10,A -894,R100 ,R121 ,12858.27,0.75,75096,5,10,A -895,R100 ,R147 ,14090.52,0.82,68150,5,10,A -896,R100 ,R135 ,15066.37,0.88,75471,5,10,A -897,R300 ,R313 ,15443.46,0.9,79188,4,10,A -898,R300 ,R313 ,11953.84,0.7,79408,4,10,A -899,R300 ,R320 ,15640.01,0.91,79414,4,10,A -901,R100 ,R136 ,13281.67,0.77,83241,5,10,A -904,R100 ,R114 ,15871.84,0.93,83109,5,10,A -905,R100 ,R129 ,11363.9,0.66,56016,7,10,A -906,R100 ,R129 ,9824.93,0.57,56320,7,10,A -907,R300 ,R364 ,12520.79,0.73,75033,6,10,A -909,R300 ,R379 ,20735.77,1.21,78678,9,10,A -910,R200 ,R258 ,17719.57,1.03,74972,10,10,A -911,R200 ,R213 ,14027.57,0.82,83015,9,10,A -912,R200 ,R206 ,12509.72,0.73,79722,9,10,A -913,R200 ,R261 ,21092.98,1.23,80793,9,10,A -914,R200 ,R261 ,17387.01,1.01,84371,9,10,A -915,R100 ,R161 ,12881.37,0.75,57131,10,10,A -917,R300 ,R346 ,16139.13,0.94,79750,4,10,A -918,R300 ,R355 ,16759.65,0.98,79977,4,10,A -919,R300 ,R314 ,10185.33,0.59,68358,4,10,A -920,R300 ,R367 ,13588.43,0.79,79375,4,10,A -921,R300 ,R332 ,15469.82,0.9,58807,4,10,A -922,R100 ,R137 ,14012.34,0.82,77171,5,10,A -923,R100 ,R148 ,14182.56,0.83,70222,5,10,A -924,R100 ,R136 ,10767.7,0.63,56887,5,10,A -926,R100 ,R127 ,13836.29,0.81,65842,5,10,A -927,R100 ,R141 ,15681.73,0.91,83590,5,10,A -928,R100 ,R141 ,15850.61,0.92,87622,5,10,A -929,R100 ,R147 ,15001.34,0.87,70197,5,10,A -930,R100 ,R114 ,14711.92,0.86,67846,5,10,A -931,R100 ,R102 ,15310.65,0.89,75660,5,10,A -935,R300 ,R377 ,17339.27,1.01,64122,9,10,A -936,R300 ,R377 ,16544.2,0.96,79521,9,10,A -937,R200 ,R212 ,20063.99,1.17,85010,9,10,A -938,R200 ,R218 ,13301.26,0.78,80066,9,10,A -939,R200 ,R248 ,16711.96,0.97,80185,9,10,A -940,R200 ,R205 ,16258.42,0.95,79973,9,10,A -941,R200 ,R245 ,16124.66,0.94,67592,9,10,A -942,R100 ,R116 ,38219.99,2.23,96940,5,10,A -943,R100 ,R147 ,18371.27,1.07,75469,5,10,A -945,R100 ,R134 ,11838.7,0.69,59155,5,10,A -947,R300 ,R352 ,8226.42,0.48,79824,6,10,A -949,R200 ,R237 ,17603.78,1.03,85097,9,10,A -950,R300 ,R379 ,13406.43,0.78,80012,9,10,A -952,R300 ,R378 ,11938.23,0.7,66270,6,10,A -953,R300 ,R304 ,10603.24,0.62,56116,6,10,A -955,R300 ,R311 ,19753.34,1.15,74365,6,10,A -957,R100 ,R115 ,11458.47,0.67,73816,5,10,A -958,R300 ,R333 ,10952.48,0.64,56754,4,10,A -959,R300 ,R333 ,9755.63,0.57,56667,4,10,A -961,R300 ,R372 ,17747.27,1.04,81510,4,10,A -962,R300 ,R371 ,11205.51,0.65,70079,4,10,A -963,R300 ,R350 ,11458.97,0.67,58489,4,10,A -964,R300 ,R371 ,11376.51,0.66,70045,4,10,A -966,R300 ,R362 ,9217.09,0.54,62214,4,10,A -967,R300 ,R315 ,14439.93,0.84,70385,4,10,A -968,R300 ,R349 ,20125.68,1.17,83082,4,10,A -969,R300 ,R334 ,9875.95,0.58,57011,4,10,A -970,R300 ,R335 ,14499.95,0.85,75908,4,10,A -981,R300 ,R334 ,13241.83,0.77,79540,4,10,A -982,R300 ,R335 ,11540.62,0.67,74821,4,10,A -984,R100 ,R171 ,14974.6,0.87,68595,5,10,A -985,R100 ,R174 ,14832.65,0.87,75672,5,10,A -986,R100 ,R171 ,11025.8,0.64,57584,5,10,A -988,R100 ,R170 ,12355.24,0.72,63054,5,10,A -989,R100 ,R169 ,11680.45,0.68,58275,5,10,A -990,R100 ,R169 ,10210.04,0.6,57146,5,10,A -992,R100 ,R117 ,14328.27,0.84,65440,7,10,A -993,R300 ,R364 ,13744.05,0.8,74276,6,10,A -995,R200 ,R264 ,20885.95,1.22,82546,10,10,A -996,R200 ,R265 ,16589.49,0.97,75233,10,10,A -997,R200 ,R201 ,15421.41,0.9,84558,9,10,A -1000,R400 ,R411 ,14057.39,0.82,74789,3,10,A -1001,R400 ,R411 ,13268.69,0.77,87398,3,10,A -1002,R400 ,R411 ,16054.98,0.94,84630,3,10,A -1003,R400 ,R415 ,14109.36,0.82,82540,3,10,A -1004,R400 ,R415 ,11784.21,0.69,79136,3,10,A -1005,R400 ,R466 ,12042.22,0.7,68204,3,10,A -1006,R400 ,R412 ,17199.14,1,82372,3,10,A -1007,R400 ,R448 ,14373.35,0.84,82088,3,10,A -1008,R400 ,R415 ,13985.06,0.82,83379,3,10,A -1009,R400 ,R441 ,14171.18,0.83,74705,3,10,A -1010,R400 ,R416 ,14718.4,0.86,82060,2,10,A -1011,R400 ,R416 ,12925.4,0.75,75375,2,10,A -1012,R400 ,R416 ,11941.58,0.7,74898,2,10,A -1013,R400 ,R416 ,13957.03,0.81,74932,2,10,A -1014,R400 ,R416 ,11156.08,0.65,75024,2,10,A -1015,R300 ,R371 ,15384.24,0.9,71263,4,10,A -1016,R400 ,R417 ,13455.75,0.78,75665,3,10,A -1017,R400 ,R417 ,12332.08,0.72,69990,3,10,A -1018,R400 ,R417 ,20712.37,1.21,82804,3,10,A -1019,R400 ,R417 ,11427,0.67,83081,3,10,A -1021,R300 ,R370 ,14852.7,0.87,76304,3,10,A -1022,R300 ,R371 ,13437.58,0.78,57277,4,10,A -1023,R300 ,R354 ,15593.41,0.91,85795,4,10,A -1024,R100 ,R115 ,21665.05,1.26,84615,5,10,A -1025,R200 ,R246 ,13903.17,0.81,81194,9,10,A -1026,R200 ,R247 ,12856.44,0.75,75357,9,10,A -1027,R200 ,R240 ,21268.54,1.24,81889,9,10,A -1028,R200 ,R217 ,15093.6,0.88,83790,9,10,A -1029,R200 ,R231 ,23800.31,1.39,87063,9,10,A -1030,R300 ,R332 ,15032.77,0.88,82969,4,10,A -1031,R100 ,R167 ,21315.47,1.24,83823,7,10,A -1032,R300 ,R352 ,9621.68,0.56,79793,6,10,A -1033,R200 ,R263 ,13752.57,0.8,74564,9,10,A -1034,R300 ,R378 ,15048.36,0.88,80008,6,10,A -1035,R100 ,R118 ,16421.83,0.96,79010,7,10,A -1036,R100 ,R150 ,15931.75,0.93,75424,5,10,A -1037,R100 ,R172 ,13312.31,0.78,72938,5,10,A -1038,R300 ,R367 ,20952.9,1.22,82276,4,10,A -1039,R300 ,R349 ,21585.09,1.26,75780,4,10,A -1040,R200 ,R261 ,17256.26,1.01,82212,9,10,A -1041,R400 ,R417 ,13848.16,0.81,83308,3,10,A -1042,R400 ,R448 ,22541.27,1.31,74488,3,10,A -1043,R400 ,R411 ,9674.19,0.56,57629,3,10,A -1044,R400 ,R448 ,18648.55,1.09,74381,3,10,A -1045,R400 ,R411 ,12697.34,0.74,57680,3,10,A -1046,R400 ,R448 ,15008.95,0.88,74546,3,10,A -1047,R300 ,R370 ,17068.33,1,84460,3,10,A -1048,R300 ,R370 ,12571.53,0.73,89661,3,10,A -1049,R400 ,R417 ,19411.15,1.13,83480,3,10,A -1050,R300 ,R360 ,13629.29,0.79,78543,4,10,A -1051,R300 ,R354 ,14358.95,0.84,57784,4,10,A -1052,R100 ,R136 ,13649.62,0.8,83128,5,10,A -1053,R300 ,R360 ,10981.1,0.64,81251,4,10,A -1054,R200 ,R210 ,16034.08,0.94,79288,9,10,A -1055,R400 ,R419 ,15761.67,0.92,74162,2,10,A -1056,R400 ,R467 ,19275.98,1.12,81604,2,10,A -1057,R400 ,R416 ,19422.2,1.13,85123,2,10,A -1058,R100 ,R169 ,26827.81,1.56,77525,5,10,A -1059,R300 ,R333 ,11100.21,0.65,76026,4,10,A -1060,R100 ,R146 ,18741.09,1.09,85682,5,10,A -1061,R300 ,R322 ,27634.12,1.61,77934,6,10,A -1062,R200 ,R245 ,19180.99,1.12,84643,9,10,A -1063,R100 ,R138 ,15725.63,0.92,75663,5,10,A -1064,R200 ,R265 ,11304.91,0.66,56919,10,10,A -1065,R300 ,R302 ,8036.52,0.47,78622,6,10,A -1066,R300 ,R341 ,10094.74,0.59,82977,6,10,A -1068,R100 ,R111 ,11222.77,0.65,54672,5,10,A -1069,R100 ,R146 ,13950.53,0.81,85092,5,10,A -1070,R100 ,R150 ,11085.66,0.65,58193,5,10,A -1071,R100 ,R168 ,14238.13,0.83,79308,4,10,A -1072,R100 ,R169 ,20588.88,1.2,84598,5,10,A -1073,R300 ,R336 ,10449.04,0.61,55976,4,10,A -1074,R300 ,R367 ,15783.12,0.92,75181,4,10,A -1075,R300 ,R349 ,11196.88,0.65,74087,4,10,A -1076,R400 ,R412 ,22054.33,1.29,79882,3,10,A -1077,R300 ,R358 ,12022.74,0.7,75830,4,10,A -1078,R300 ,R358 ,12216.56,0.71,80443,4,10,A -1079,R300 ,R358 ,10462.42,0.61,57122,4,10,A -1080,R300 ,R372 ,12041.19,0.7,79206,4,10,A -1081,R300 ,R362 ,10805.16,0.63,78940,4,10,A -1082,R100 ,R178 ,13987.89,0.82,56530,10,10,A -1083,R400 ,R451 ,10262.03,0.6,78939,2,10,A -1084,R400 ,R419 ,14913.21,0.87,73647,2,10,A -1085,R400 ,R422 ,17797.87,1.04,76086,2,10,A -1086,R300 ,R358 ,14044.87,0.82,79541,4,10,A -1087,R300 ,R355 ,14673.58,0.86,80952,4,10,A -1088,R400 ,R441 ,18484.7,1.08,81178,3,10,A -1090,R300 ,R337 ,15288.34,0.89,84845,4,10,A -1091,R100 ,R172 ,14574.08,0.85,81192,5,10,A -1092,R100 ,R172 ,16969.16,0.99,83984,5,10,A -1094,R100 ,R168 ,13793.7,0.8,78733,4,10,A -1095,R100 ,R126 ,14865.29,0.87,82374,5,10,A -1096,R100 ,R111 ,12782.47,0.75,66120,5,10,A -1097,R200 ,R208 ,14637.24,0.85,67586,9,10,A -1098,R200 ,R220 ,13887.15,0.81,83914,9,10,A -1100,R200 ,R240 ,21448.34,1.25,83303,9,10,A -1101,R100 ,R117 ,14793.07,0.86,78536,7,10,A -1102,R100 ,R118 ,23101.55,1.35,87697,7,10,A -1103,R300 ,R370 ,25616.65,1.49,84246,3,10,A -1104,R300 ,R371 ,11324.7,0.66,78459,4,10,A -1105,R300 ,R370 ,12581.38,0.73,79341,3,10,A -1106,R300 ,R334 ,11322.44,0.66,78249,4,10,A -1107,R300 ,R371 ,14886.03,0.87,79096,4,10,A -1108,R400 ,R424 ,11003.09,0.64,73761,2,10,A -1109,R400 ,R450 ,14145,0.83,79394,2,10,A -1110,R300 ,R310 ,12190.37,0.71,78641,4,10,A -1112,R100 ,R170 ,14990.05,0.87,77496,5,10,A -1113,R100 ,R127 ,20601.29,1.2,78812,7,10,A -1114,R100 ,R167 ,13789.7,0.8,83990,6,10,A -1115,R300 ,R304 ,12955.25,0.76,78319,6,10,A -1116,R300 ,R306 ,10543.9,0.61,79008,6,10,A -1117,R300 ,R378 ,13617.13,0.79,78255,6,10,A -1118,R200 ,R264 ,22466.87,1.31,79799,10,10,A -1120,R200 ,R240 ,13126.34,0.77,70788,9,10,A -1121,R200 ,R220 ,22210.7,1.3,83934,9,10,A -1122,R200 ,R210 ,18475.35,1.08,81029,9,10,A -1124,R300 ,R364 ,12002.15,0.7,79023,6,10,A -1125,R100 ,R112 ,12638.07,0.74,62204,5,10,A -1126,R300 ,R333 ,13139.84,0.77,78886,4,10,A -1128,R100 ,R173 ,14548.73,0.85,80305,5,10,A -1129,R100 ,R173 ,13539.23,0.79,79721,5,10,A -1131,R300 ,R354 ,14374.63,0.84,78799,4,10,A -1132,R400 ,R422 ,14373.61,0.84,84626,2,10,A -1133,R400 ,R422 ,14022.38,0.82,79655,2,10,A -1134,R400 ,R453 ,15159.2,0.88,78859,3,10,A -1135,R400 ,R462 ,19665.56,1.15,85269,3,10,A -1136,R400 ,R453 ,13097.71,0.76,78977,3,10,A -1137,R400 ,R448 ,15243.67,0.89,78353,3,10,A -1138,R400 ,R448 ,17921.49,1.05,85901,3,10,A -1139,R400 ,R455 ,27999.72,1.63,89058,2,10,A -1140,R200 ,R201 ,16988.81,0.99,80860,9,10,A -1141,R300 ,R377 ,12812.43,0.75,79106,9,10,A -1142,R400 ,R411 ,15035.9,0.88,82658,3,10,A -1143,R200 ,R245 ,12793.1,0.75,79506,9,10,A -1144,R100 ,R124 ,21673.35,1.26,81623,5,10,A -1146,R400 ,R453 ,33031.59,1.93,80804,3,10,A -1147,R400 ,R455 ,14760.76,0.86,79867,2,10,A -1148,R400 ,R424 ,13470.5,0.79,81984,2,10,A -1150,R400 ,R469 ,25788.59,1.5,83349,2,10,A -1151,R400 ,R450 ,15274.37,0.89,79397,2,10,A -1152,R400 ,R419 ,13937.29,0.81,79011,2,10,A -1153,R400 ,R450 ,23008.64,1.34,84564,2,10,A -1154,R400 ,R450 ,16797.18,0.98,78819,2,10,A -1155,R400 ,R419 ,13177.32,0.77,80978,2,10,A -1156,R400 ,R467 ,17689.87,1.03,79459,2,10,A -1157,R400 ,R416 ,13734.36,0.8,79557,2,10,A -1158,R400 ,R422 ,13956.47,0.81,79348,2,10,A -1159,R400 ,R421 ,18608.6,1.09,82152,3,10,A -1160,R400 ,R430 ,11125.02,0.65,62480,3,10,A -1161,R300 ,R370 ,13171.81,0.77,79065,3,10,A -1162,R400 ,R457 ,14130.48,0.82,79301,3,10,A -1163,R300 ,R318 ,18493.36,1.08,84345,4,10,A -1164,R300 ,R336 ,10590.98,0.62,78743,4,10,A -1165,R300 ,R334 ,12077.48,0.7,79712,4,10,A -1166,R100 ,R150 ,14064.14,0.82,78521,5,10,A -1167,R100 ,R112 ,17379.38,1.01,80765,5,10,A -1168,R100 ,R112 ,18790.14,1.1,81642,5,10,A -1169,R300 ,R332 ,11280.83,0.66,78478,4,10,A -1170,R100 ,R105 ,15595.7,0.91,78914,7,10,A -1171,R300 ,R380 ,17415.95,1.02,82328,9,10,A -1172,R300 ,R336 ,9759.44,0.57,62950,4,10,A -1175,R400 ,R446 ,18480.61,1.08,76110,2,10,A -1176,R100 ,R112 ,17171.21,1,77791,5,10,A -1177,R100 ,R123 ,15118.3,0.88,79774,7,10,A -1178,R100 ,R176 ,12340.5,0.72,78861,8,10,A -1179,R300 ,R340 ,15139.54,0.88,78851,4,10,A -1180,R300 ,R358 ,13044.07,0.76,79698,4,10,A -1181,R300 ,R362 ,10450.84,0.61,79400,4,10,A -1182,R300 ,R337 ,16836.04,0.98,79479,4,10,A -1183,R400 ,R462 ,13107.52,0.76,79279,3,10,A -1184,R400 ,R450 ,9849.95,0.57,80286,2,10,A -1185,R100 ,R126 ,17363.88,1.01,81612,5,10,A -1186,R400 ,R452 ,15409.89,0.9,74371,1,10,A -1187,R400 ,R452 ,20348.66,1.19,77961,1,10,A -1188,R400 ,R428 ,13428.24,0.78,79648,1,10,A -1189,R400 ,R428 ,14250.59,0.83,79736,1,10,A -1190,R400 ,R470 ,12793.33,0.75,79611,1,10,A -1191,R400 ,R424 ,12364.48,0.72,80719,2,10,A -1192,R400 ,R450 ,14769.51,0.86,74289,2,10,A -1193,R400 ,R448 ,19389.97,1.13,85733,3,10,A -1194,R400 ,R416 ,13524.5,0.79,80037,2,10,A -1195,R400 ,R467 ,14231.23,0.83,80267,2,10,A -1196,R400 ,R421 ,15065.12,0.88,80017,3,10,A -1197,R300 ,R335 ,21077.27,1.23,80742,4,10,A -1198,R300 ,R337 ,13790.65,0.8,79458,4,10,A -1199,R300 ,R337 ,12523.74,0.73,79304,4,10,A -1200,R100 ,R172 ,13295.01,0.78,79646,4,10,A -1201,R100 ,R123 ,13544,0.79,81430,7,10,A -1204,R300 ,R327 ,11405.33,0.67,79878,6,10,A -1205,R200 ,R262 ,14477.44,0.84,80534,10,10,A -1206,R300 ,R346 ,14214.46,0.83,80243,4,10,A -1207,R300 ,R373 ,20865.33,1.22,82256,9,10,A -1208,R200 ,R211 ,22029.06,1.28,82114,9,10,A -1209,R300 ,R379 ,14094.86,0.82,80224,9,10,A -1210,R100 ,R131 ,10714.23,0.62,79360,5,10,A -1211,R100 ,R111 ,14078.84,0.82,80387,5,10,A -1212,R100 ,R128 ,14011.98,0.82,63259,5,10,A -1213,R100 ,R121 ,12974.21,0.76,79146,5,10,A -1214,R100 ,R140 ,8109.67,0.47,79013,5,10,A -1215,R100 ,R174 ,10601.42,0.62,79046,5,10,A -1216,R400 ,R454 ,14410.69,0.84,79294,3,10,A -1217,R400 ,R430 ,16143.12,0.94,80165,3,10,A -1218,R400 ,R430 ,11138.91,0.65,79979,3,10,A -1219,R400 ,R454 ,15455.74,0.9,79945,3,10,A -1220,R400 ,R454 ,12999.54,0.76,79354,3,10,A -1221,R400 ,R431 ,13904,0.81,79928,3,10,A -1222,R400 ,R431 ,16531.44,0.96,80225,3,10,A -1223,R300 ,R336 ,14408.13,0.84,80433,4,10,A -1224,R400 ,R419 ,10164.62,0.59,81838,2,10,A -1225,R400 ,R417 ,13041.87,0.76,80551,3,10,A -1226,R300 ,R371 ,11064.58,0.65,63020,4,10,A -1227,R400 ,R447 ,11871.08,0.69,79768,1,10,A -1228,R400 ,R468 ,17561.85,1.02,80552,1,10,A -1229,R400 ,R452 ,18859.41,1.1,83211,1,10,A -1230,R100 ,R161 ,19998.5,1.17,79519,10,10,A -1231,R300 ,R302 ,9206.64,0.54,79375,6,10,A -1232,R400 ,R439 ,14797.27,0.86,87986,1,10,A -1233,R400 ,R415 ,11725.46,0.68,62042,3,10,A -1234,R400 ,R457 ,13125.97,0.77,79367,3,10,A -1235,R100 ,R102 ,14789.14,0.86,78414,5,10,A -1236,R100 ,R173 ,16660.4,0.97,81797,5,10,A -1237,R100 ,R161 ,24438.29,1.43,78241,8,10,A -1238,R200 ,R202 ,18677.19,1.09,79905,9,10,A -1239,R200 ,R220 ,11286.18,0.66,79193,9,10,A -1241,R100 ,R118 ,14363.32,0.84,79052,7,10,A -1242,R300 ,R375 ,14528.31,0.85,81165,9,10,A -1244,R100 ,R124 ,13415.1,0.78,81303,5,10,A -1246,R100 ,R128 ,10999.6,0.64,63183,5,10,A -1247,R100 ,R128 ,16005.53,0.93,83242,5,10,A -1248,R100 ,R128 ,15318.3,0.89,79830,5,10,A -1249,R400 ,R439 ,14685.61,0.86,81453,1,10,A -1250,R300 ,R351 ,12324.57,0.72,80155,4,10,A -1251,R100 ,R134 ,14639.79,0.85,81741,5,10,A -1252,R100 ,R173 ,14030.26,0.82,81000,5,10,A -1253,R400 ,R454 ,14300.85,0.83,81697,3,10,A -1254,R400 ,R431 ,15113.43,0.88,80391,3,10,A -1255,R400 ,R439 ,16585.27,0.97,81167,1,10,A -1256,R400 ,R421 ,14669.22,0.86,82210,3,10,A -1257,R400 ,R448 ,13004.29,0.76,63664,3,10,A -1258,R400 ,R415 ,14006.86,0.82,80424,3,10,A -1259,R400 ,R430 ,14837.91,0.87,80493,3,10,A -1260,R400 ,R461 ,14254.66,0.83,79752,3,10,A -1261,R100 ,R169 ,17535.15,1.02,80978,3,10,A -1263,R400 ,R446 ,11517.84,0.67,71425,2,10,A -1264,R400 ,R455 ,17426.34,1.02,82748,2,10,A -1265,R400 ,R411 ,13676.07,0.8,80181,3,10,A -1266,R400 ,R452 ,17968.16,1.05,83686,1,10,A -1267,R400 ,R439 ,14506.19,0.85,80481,1,10,A -1268,R400 ,R438 ,16958.27,0.99,79959,2,10,A -1269,R400 ,R421 ,18921.78,1.1,82963,3,10,A -1270,R400 ,R454 ,13033.07,0.76,78340,3,10,A -1271,R400 ,R438 ,17143.28,1,80121,2,10,A -1272,R100 ,R101 ,15188.72,0.89,80758,5,10,A -1273,R300 ,R359 ,13815.79,0.81,79850,4,10,A -1274,R300 ,R359 ,12682.06,0.74,78868,4,10,A -1275,R400 ,R457 ,15737.15,0.92,80027,3,10,A -1278,R100 ,R117 ,13831.31,0.81,79474,7,10,A -1279,R100 ,R117 ,14764.1,0.86,81064,7,10,A -1280,R100 ,R118 ,16188.82,0.94,80452,7,10,A -1281,R400 ,R468 ,12969.39,0.76,81367,1,10,A -1282,R100 ,R161 ,12354.55,0.72,56298,8,10,A -1283,R200 ,R205 ,15097.95,0.88,79886,9,10,A -1284,R200 ,R264 ,25793.89,1.5,82810,10,10,A -1285,R100 ,R148 ,14530.65,0.85,80626,5,10,A -1286,R100 ,R133 ,15769.99,0.92,80906,5,10,A -1287,R100 ,R170 ,13921.28,0.81,81542,3,10,A -1288,R400 ,R430 ,15454.86,0.9,80472,3,10,A -1289,R400 ,R439 ,19364.94,1.13,81467,1,10,A -1290,R400 ,R452 ,11960.35,0.7,63834,1,10,A -1291,R400 ,R421 ,12250.01,0.71,80365,3,10,A -1292,R400 ,R457 ,16208.91,0.95,79934,3,10,A -1293,R200 ,R202 ,22852.88,1.33,85522,9,10,A -1294,R300 ,R313 ,17682.77,1.03,79679,4,10,A -1295,R400 ,R412 ,13334.85,0.78,79468,3,10,A -1296,R400 ,R451 ,16585.17,0.97,79249,2,10,A -1298,R300 ,R350 ,14447.75,0.84,79876,4,10,A -1299,R300 ,R314 ,15354.12,0.9,79715,4,10,A -1300,R300 ,R315 ,15217.94,0.89,80226,4,10,A -1301,R100 ,R171 ,14515.28,0.85,80208,5,10,A -1302,R300 ,R333 ,23175.96,1.35,79567,4,10,A -1303,R100 ,R124 ,13451.41,0.78,81107,5,10,A -1304,R200 ,R218 ,16774.45,0.98,81102,9,10,A -1305,R200 ,R222 ,20472.84,1.19,86040,9,10,A -1306,R200 ,R204 ,32559.93,1.9,91970,9,10,A -1307,R200 ,R209 ,21987.41,1.28,83980,9,10,A -1308,R400 ,R470 ,18482.67,1.08,83345,1,10,A -1309,R200 ,R209 ,15277.8,0.89,81646,9,10,A -1310,R300 ,R337 ,11012.4,0.64,79479,4,10,A -1311,R100 ,R110 ,14029.58,0.82,82227,5,10,A -1312,R400 ,R453 ,14622.92,0.85,80088,3,10,A -1313,R100 ,R135 ,23476.69,1.37,86317,5,10,A -1314,R100 ,R117 ,14457.01,0.84,80920,7,10,A -1315,R400 ,R419 ,11562.07,0.67,80625,2,10,A -1316,R300 ,R376 ,13610.25,0.79,80978,9,10,A -1317,R100 ,R148 ,12925.82,0.75,81033,5,10,A -1318,R400 ,R451 ,16736.78,0.98,78508,2,10,A -1319,R300 ,R337 ,12855.22,0.75,80331,4,10,A -1322,R300 ,R369 ,13086.18,0.76,79663,4,10,A -1323,R100 ,R122 ,14305.24,0.83,95195,5,10,A -1324,R100 ,R170 ,13496.36,0.79,81663,5,10,A -1325,R100 ,R174 ,14430.11,0.84,81330,5,10,A -1326,R100 ,R177 ,15237.48,0.89,79425,8,10,A -1327,R300 ,R377 ,12630.56,0.74,80721,9,10,A -1328,R200 ,R222 ,23358.4,1.36,81521,9,10,A -1329,R200 ,R239 ,17148.27,1,82561,9,10,A -1330,R400 ,R446 ,15806.71,0.92,80652,2,10,A -1331,R200 ,R264 ,14018.96,0.82,81655,10,10,A -1332,R200 ,R236 ,21445.53,1.25,82277,9,10,A -1333,R100 ,R161 ,16263.73,0.95,79126,8,10,A -1334,R100 ,R128 ,17864.74,1.04,80908,5,10,A -1335,R300 ,R375 ,15171.29,0.88,80519,9,10,A -1336,R300 ,R311 ,24842.32,1.45,95996,6,10,A -1337,R300 ,R318 ,12336.16,0.72,85393,4,10,A -1338,R400 ,R447 ,17778.52,1.04,80001,1,10,A -1339,R300 ,R306 ,21062.07,1.23,93983,6,10,A -1340,R200 ,R217 ,16611.88,0.97,84922,9,10,A -1341,R400 ,R466 ,18120.18,1.06,81178,3,10,A -1342,R100 ,R141 ,15531.83,0.91,81296,5,10,A -1344,R400 ,R469 ,22846.31,1.33,82594,2,10,A -1345,R400 ,R450 ,13408.56,0.78,80360,2,10,A -1346,R300 ,R369 ,14549.77,0.85,94357,4,10,A -1347,R300 ,R353 ,12193.9,0.71,94361,6,10,A -1348,R400 ,R468 ,15041.11,0.88,80072,1,10,A -1349,R300 ,R337 ,13841.34,0.81,79596,4,10,A -1350,R100 ,R138 ,30718.17,1.79,95521,5,10,A -1351,R100 ,R111 ,24733.96,1.44,100835,5,10,A -1352,R100 ,R101 ,19718.35,1.15,94257,5,10,A -1353,R100 ,R118 ,15134.69,0.88,84225,7,10,A -1354,R300 ,R327 ,17198.42,1,94215,6,10,A -1355,R200 ,R262 ,15925.03,0.93,80115,10,10,A -1356,R100 ,R101 ,21051.73,1.23,103397,5,10,A -1357,R300 ,R373 ,13590.44,0.79,79802,8,10,A -1358,R400 ,R459 ,10900.3,0.64,77528,2,10,A -1359,R300 ,R311 ,14125.21,0.82,95097,6,10,A -1360,R300 ,R377 ,18079.46,1.05,85527,9,10,A -1361,R300 ,R375 ,13041.25,0.76,82293,9,10,A -1362,R200 ,R236 ,31221.44,1.82,85097,9,10,A -1363,R200 ,R220 ,16885.45,0.98,85327,9,10,A -1364,R100 ,R140 ,15796.29,0.92,95279,5,10,A -1365,R400 ,R422 ,16904.97,0.99,79025,2,10,A -1366,R100 ,R138 ,19422.64,1.13,95278,5,10,A -1367,R300 ,R369 ,21935.64,1.28,95279,4,10,A -1368,R300 ,R321 ,15959.63,0.93,95107,6,10,A -1369,R300 ,R353 ,20938.86,1.22,97765,6,10,A -1370,R300 ,R351 ,21402.18,1.25,94830,4,10,A -1371,R300 ,R355 ,18402.2,1.07,78748,4,10,A -1372,R100 ,R175 ,18704.56,1.09,98021,8,10,A -1373,R400 ,R460 ,12884.8,0.75,80056,1,10,A -1374,R400 ,R428 ,15221.4,0.89,80795,1,10,A -1375,R100 ,R126 ,18618.96,1.09,83566,5,10,A -1376,R300 ,R359 ,17153.75,1,94993,4,10,A -1377,R300 ,R303 ,14410.68,0.84,95711,6,10,A -1378,R400 ,R450 ,19715.08,1.15,85219,2,10,A -1380,R300 ,R346 ,47074.8,2.75,79595,4,10,A -1381,R100 ,R171 ,12612.89,0.74,80521,5,10,A -1382,R300 ,R314 ,34903.38,2.04,94993,4,10,A -1383,R200 ,R244 ,15240.51,0.89,85622,9,10,A -1384,R200 ,R250 ,34506.5,2.01,85650,9,10,A -1385,R100 ,R112 ,15226.12,0.89,80772,5,10,A -1386,R300 ,R374 ,14175.13,0.83,80878,9,10,A -1388,R100 ,R123 ,13260.85,0.77,80152,7,10,A -1389,R400 ,R422 ,13918.33,0.81,81639,2,10,A -1390,R300 ,R346 ,15809.78,0.92,79934,4,10,A -1391,R300 ,R350 ,15032.69,0.88,79377,4,10,A -1392,R100 ,R123 ,31337.39,1.83,95000,7,10,A -1393,R100 ,R172 ,13678.93,0.8,79856,5,10,A -1394,R300 ,R335 ,14994.85,0.87,95605,4,10,A -1395,R300 ,R326 ,13013.86,0.76,95743,6,10,A -1396,R300 ,R303 ,17825.5,1.04,95078,6,10,A -1397,R300 ,R301 ,15724.42,0.92,94846,6,10,A -1398,R300 ,R301 ,24879.51,1.45,94864,6,10,A -1399,R300 ,R353 ,14691.16,0.86,79472,6,10,A -1400,R300 ,R336 ,13578.61,0.79,95628,4,10,A -1401,R400 ,R469 ,17203.32,1,84844,2,10,A -1402,R100 ,R115 ,13736.85,0.8,79895,5,10,A -1403,R100 ,R115 ,13620.81,0.79,84794,5,10,A -1404,R400 ,R428 ,13940.57,0.81,79683,1,10,A -1405,R200 ,R260 ,13101.65,0.76,79864,10,10,A -1406,R200 ,R260 ,15898.42,0.93,78002,10,10,A -1407,R200 ,R210 ,20547.2,1.2,76106,9,10,A -1408,R200 ,R236 ,27562.74,1.61,77741,9,10,A -1409,R200 ,R207 ,27878.23,1.63,84687,9,10,A -1410,R200 ,R201 ,32452.36,1.89,88936,9,10,A -1411,R200 ,R263 ,16017.4,0.93,79155,9,10,A -1413,R100 ,R175 ,15207.33,0.89,85438,8,10,A -1414,R400 ,R430 ,13957.06,0.81,77501,3,10,A -1415,R400 ,R448 ,18922.65,1.1,82904,3,10,A -1416,R400 ,R441 ,14708.29,0.86,80098,3,10,A -1417,R200 ,R213 ,15727.61,0.92,81041,9,10,A -1418,R200 ,R244 ,16708.99,0.97,78174,9,10,A -1419,R200 ,R260 ,18432.1,1.08,81868,10,10,A -1420,R300 ,R370 ,11546.59,0.67,62802,3,10,A -1421,R200 ,R260 ,17185.44,1,79427,9,10,A -1422,R200 ,R237 ,20517.5,1.2,78465,9,10,A -1423,R200 ,R206 ,13769.65,0.8,77332,9,10,A -1424,R200 ,R217 ,19904.37,1.16,80465,9,10,A -1425,R200 ,R263 ,20894.31,1.22,78662,9,10,A -1426,R200 ,R237 ,18938.16,1.1,79716,9,10,A -1427,R200 ,R233 ,20566.2,1.2,88324,9,10,A -1428,R200 ,R211 ,19987.72,1.17,78509,9,10,A -1429,R300 ,R379 ,12286.66,0.72,80337,9,10,A -1430,R300 ,R326 ,12633.06,0.74,94626,6,10,A -1431,R400 ,R441 ,26944.05,1.57,90013,3,10,A -1432,R300 ,R377 ,13568.45,0.79,79816,9,10,A -1435,R300 ,R364 ,15195.82,0.89,81361,6,10,A -1436,R100 ,R144 ,22996.24,1.34,78564,7,10,A -1437,R100 ,R141 ,20784.42,1.21,92520,5,10,A -1438,R200 ,R247 ,11378.66,0.66,59126,9,10,A -1439,R300 ,R376 ,16151.14,0.94,79653,9,10,A -1441,R400 ,R429 ,11597.57,0.68,60789,1,10,A -1442,R400 ,R429 ,31402.58,1.83,90993,1,10,A -1443,R400 ,R462 ,19582.85,1.14,73075,3,10,A -1444,R200 ,R258 ,41456.43,2.42,79606,10,10,A -1445,R100 ,R133 ,21046.09,1.23,94300,5,10,A -1446,R100 ,R133 ,12958.75,0.76,77910,5,10,A -1447,R100 ,R172 ,13750.87,0.8,79846,5,10,A -1448,R100 ,R124 ,20413.45,1.19,94866,5,10,A -1449,R300 ,R331 ,19998.13,1.17,82829,6,10,A -1450,R300 ,R331 ,15567.47,0.91,79546,6,10,A -1451,R300 ,R331 ,13618.26,0.79,79783,6,10,A -1452,R300 ,R337 ,13203.65,0.77,80883,4,10,A -1453,R300 ,R346 ,16843.49,0.98,80290,4,10,A -1454,R300 ,R320 ,15849.37,0.92,80019,4,10,A -1455,R100 ,R123 ,19161.4,1.12,94722,7,10,A -1456,R100 ,R124 ,17681.74,1.03,94306,5,10,A -1457,R300 ,R304 ,11364.39,0.66,94628,6,10,A -1458,R300 ,R304 ,17584.32,1.03,94658,6,10,A -1459,R300 ,R303 ,18111.48,1.06,94434,6,10,A -1460,R100 ,R145 ,11495.93,0.67,79898,5,10,A -1461,R300 ,R346 ,14904.54,0.87,94871,4,10,A -1462,R300 ,R373 ,14882.73,0.87,83934,9,10,A -1463,R100 ,R171 ,15408.63,0.9,80236,5,10,A -1464,R400 ,R461 ,11662.73,0.68,80767,2,10,A -1465,R100 ,R137 ,16060.82,0.94,80600,5,10,A -1466,R100 ,R134 ,15546.77,0.91,80184,5,10,A -1467,R400 ,R419 ,15155.51,0.88,80047,2,10,A -1468,R300 ,R348 ,18186.62,1.06,82108,4,10,A -1469,R300 ,R353 ,61312.57,3.58,80610,6,10,A -1470,R100 ,R167 ,16364.57,0.95,79786,6,10,A -1471,R100 ,R175 ,15954.86,0.93,95756,8,10,A -1472,R200 ,R211 ,13471.26,0.79,77852,9,10,A -1473,R300 ,R353 ,19010.14,1.11,95348,6,10,A -1474,R400 ,R461 ,15159.92,0.88,79873,3,10,A -1475,R400 ,R467 ,13767,0.8,80833,2,10,A -1476,R400 ,R467 ,14527.01,0.85,79280,2,10,A -1477,R400 ,R438 ,15080.73,0.88,79713,2,10,A -1478,R100 ,R169 ,13882.8,0.81,79796,3,10,A -1479,R100 ,R168 ,12891.86,0.75,79728,4,10,A -1480,R300 ,R367 ,13070.76,0.76,80034,4,10,A -1481,R100 ,R140 ,19755.47,1.15,84260,5,10,A -1482,R100 ,R136 ,14472.82,0.84,80809,5,10,A -1483,R100 ,R128 ,14561.18,0.85,79837,5,10,A -1484,R100 ,R163 ,18753.39,1.09,94822,5,10,A -1485,R200 ,R231 ,18068.32,1.05,80187,9,10,A -1486,R300 ,R335 ,18023.41,1.05,84388,4,10,A -1487,R100 ,R144 ,20972.67,1.22,84348,7,10,A -1489,R300 ,R302 ,12780.93,0.75,94372,6,10,A -1490,R300 ,R305 ,13568.24,0.79,79570,6,10,A -1491,R400 ,R446 ,16934.42,0.99,79942,2,10,A -1492,R400 ,R467 ,14625.56,0.85,79907,2,10,A -1493,R300 ,R350 ,16529.17,0.96,81017,4,10,A -1495,R400 ,R428 ,14986.81,0.87,79343,1,10,A -1496,R400 ,R468 ,13230.69,0.77,78045,1,10,A -1497,R300 ,R315 ,11006.6,0.64,79928,4,10,A -1499,R300 ,R340 ,14006.27,0.82,80166,4,10,A -1500,R100 ,R179 ,20110.3,1.17,94844,8,10,A -1501,R100 ,R177 ,20363.69,1.19,94939,8,10,A -1502,R200 ,R208 ,21349.7,1.25,85173,9,10,A -1504,R300 ,R372 ,19012.51,1.11,94142,4,10,A -1505,R300 ,R362 ,20788.14,1.21,94433,4,10,A -1506,R300 ,R321 ,28557.96,1.67,79612,6,10,A -1507,R200 ,R211 ,10823.89,0.63,82990,9,10,A -1508,R400 ,R467 ,17396.41,1.01,79605,2,10,A -1509,R100 ,R117 ,18392.96,1.07,79962,7,10,A -1510,R400 ,R461 ,11503.86,0.67,85690,3,10,A -1511,R300 ,R333 ,18266.55,1.07,80047,4,10,A -1512,R300 ,R367 ,18369.17,1.07,94925,4,10,A -1513,R100 ,R168 ,12302.6,0.72,79288,4,10,A -1514,R300 ,R321 ,11305.94,0.66,94433,6,10,A -1515,R100 ,R117 ,17495.95,1.02,82714,7,10,A -1516,R400 ,R468 ,10656.16,0.62,79472,1,10,A -1517,R300 ,R321 ,13371.28,0.78,94433,6,10,A -1518,R300 ,R365 ,17623.12,1.03,91271,4,10,A -1519,R300 ,R324 ,16814.27,0.98,94293,4,10,A -1520,R400 ,R447 ,13936.58,0.81,79488,1,10,A -1521,R400 ,R438 ,13481.91,0.79,79709,2,10,A -1522,R100 ,R111 ,12006.22,0.7,79527,5,10,A -1523,R300 ,R327 ,14753.24,0.86,94693,6,10,A -1524,R300 ,R380 ,18225.45,1.06,84745,9,10,A -1525,R100 ,R179 ,17651.41,1.03,79686,8,10,A -1526,R200 ,R218 ,15836.53,0.92,79652,9,10,A -1527,R200 ,R246 ,13418.91,0.78,79960,9,10,A -1528,R400 ,R459 ,12496,0.73,79482,1,10,A -1529,R300 ,R350 ,13856.34,0.81,79914,4,10,A -1530,R100 ,R138 ,14005.68,0.82,78964,5,10,A -1531,R300 ,R306 ,12549.21,0.73,85562,6,10,A -1532,R400 ,R468 ,14153.75,0.83,79596,1,10,A -1533,R400 ,R441 ,13093.09,0.76,79856,3,10,A -1534,R100 ,R172 ,14811.02,0.86,81127,5,10,A -1535,R300 ,R303 ,11991.54,0.7,79278,6,10,A -1536,R300 ,R306 ,13411.79,0.78,94415,6,10,A -1537,R100 ,R107 ,13158.31,0.77,79801,7,10,A -1538,R100 ,R123 ,13557.97,0.79,79756,7,10,A -1539,R100 ,R117 ,17090.09,1,79948,5,10,A -1540,R100 ,R161 ,20973.79,1.22,78853,8,10,A -1541,R400 ,R411 ,12628.49,0.74,80594,3,10,A -1542,R300 ,R341 ,11343.29,0.66,78324,6,10,A -1543,R100 ,R144 ,11447.45,0.67,79848,7,10,A -1544,R400 ,R459 ,18982.28,1.11,86453,1,10,A -1545,R100 ,R172 ,13674.89,0.8,80832,5,10,A -1546,R300 ,R336 ,13927.83,0.81,81677,4,10,A -1547,R200 ,R240 ,16454.87,0.96,79638,9,10,A -1548,R200 ,R232 ,14052.03,0.82,80193,9,10,A -1750,R100 ,R178 ,16773.24,0.98,86701,8,10,A -1751,R100 ,R178 ,25765.46,1.5,96518,8,10,A -1752,R100 ,R178 ,23523.94,1.37,90711,8,10,A -1753,R100 ,R178 ,17863.16,1.04,86804,8,10,A -1754,R100 ,R178 ,30769.6,1.79,95329,8,10,A -1755,R100 ,R178 ,19087.56,1.11,93951,8,10,A -1756,R100 ,R144 ,22257.67,1.3,94759,7,10,A -1757,R100 ,R144 ,18282.25,1.07,99554,7,10,A -1759,R100 ,R144 ,14250.34,0.83,105819,7,10,A -1760,R300 ,R365 ,22732.47,1.33,95022,4,10,A -1761,R300 ,R334 ,15610.46,0.91,114596,4,10,A -1762,R100 ,R138 ,17159.27,1,115418,5,10,A -1763,R300 ,R326 ,13275.82,0.77,114551,6,10,A -1764,R300 ,R326 ,17831.69,1.04,95616,6,10,A -1765,R300 ,R342 ,15134.86,0.88,95689,6,10,A -1766,R300 ,R321 ,10585.66,0.62,97674,6,10,A -1767,R100 ,R105 ,19927.12,1.16,114575,7,10,A -1768,R100 ,R127 ,21937.37,1.28,94945,7,10,A -1769,R100 ,R176 ,19421.32,1.13,95171,8,10,A -1770,R300 ,R342 ,14799.48,0.86,96337,6,10,A -1771,R100 ,R127 ,15920.12,0.93,90966,7,10,A -1772,R300 ,R340 ,19001.11,1.11,93637,4,10,A -1773,R300 ,R340 ,15456.68,0.9,93900,4,10,A -1774,R100 ,R111 ,18948.96,1.11,91645,5,10,A -1775,R300 ,R326 ,12125.78,0.71,94203,6,10,A -1776,R100 ,R179 ,24149.73,1.41,104154,8,10,A -1777,R100 ,R107 ,20862.76,1.22,106299,7,10,A -1780,R300 ,R334 ,14634.57,0.85,105923,4,10,A -1782,R100 ,R129 ,17875.93,1.04,94771,6,10,A -1783,R100 ,R143 ,28589.57,1.67,96198,8,10,A -1784,R300 ,R352 ,17720.69,1.03,99779,6,10,A -1785,R300 ,R327 ,12582.66,0.73,106014,6,10,A -1786,R300 ,R311 ,17185.12,1,106365,6,10,A -1787,R300 ,R340 ,23508.66,1.37,95013,4,10,A -1788,R100 ,R140 ,15308.04,0.89,94299,5,10,A -1789,R100 ,R140 ,15136.51,0.88,94300,5,10,A -1790,R300 ,R365 ,12762.2,0.74,95242,4,10,A -1791,R100 ,R105 ,22070.27,1.29,94718,7,10,A -1792,R100 ,R127 ,15316.64,0.89,93817,7,10,A -1793,R300 ,R355 ,17968.3,1.05,79483,4,10,A -1794,R300 ,R372 ,12133.4,0.71,83246,4,10,A -1795,R300 ,R313 ,15159.33,0.88,94246,4,10,A -1796,R400 ,R438 ,14209.43,0.83,81114,2,10,A -1797,R300 ,R341 ,11456.25,0.67,94441,6,10,A -1798,R400 ,R459 ,19742.26,1.15,83870,2,10,A -1799,R100 ,R150 ,14874.78,0.87,81010,5,10,A -1800,R100 ,R143 ,20985.04,1.22,84973,7,10,A -1801,R100 ,R150 ,20024.08,1.17,94203,5,10,A -1802,R400 ,R439 ,12412.8,0.72,81304,1,10,A -1803,R400 ,R452 ,9338.3,0.54,60555,1,10,A -1804,R100 ,R170 ,17151.46,1,85860,5,10,A -1805,R200 ,R250 ,18451.28,1.08,84906,9,10,A -1806,R100 ,R175 ,41996.76,2.45,100176,8,10,A -1807,R300 ,R362 ,13394.1,0.78,79707,4,10,A -1808,R400 ,R451 ,20509.07,1.2,77582,2,10,A -1809,R400 ,R462 ,13882.08,0.81,84651,3,10,A -1811,R300 ,R302 ,11217.03,0.65,79484,6,10,A -1812,R300 ,R322 ,12568.03,0.73,79062,6,10,A -1813,R100 ,R176 ,14444.1,0.84,80168,8,10,A -1814,R100 ,R178 ,20852.4,1.22,79720,8,10,A -1815,R200 ,R201 ,14787.12,0.86,79263,9,10,A -1816,R200 ,R201 ,12240.58,0.71,79941,9,10,A -1818,R400 ,R424 ,10957.5,0.64,79808,2,10,A -1819,R200 ,R247 ,16986.94,0.99,84587,9,10,A -1820,R300 ,R314 ,20989.38,1.22,94933,4,10,A -1821,R100 ,R144 ,16587.3,0.97,80224,7,10,A -1822,R400 ,R446 ,19931.96,1.16,82510,2,10,A -1823,R400 ,R450 ,14976.72,0.87,79982,2,10,A -1824,R300 ,R371 ,12920.74,0.75,80565,4,10,A -1825,R300 ,R340 ,13347.57,0.78,79593,4,10,A -1826,R300 ,R372 ,15716.27,0.92,94925,4,10,A -1827,R400 ,R441 ,13591.57,0.79,84993,3,10,A -1828,R400 ,R454 ,12540.36,0.73,79270,3,10,A -1829,R300 ,R350 ,13630.58,0.8,80245,4,10,A -1830,R400 ,R438 ,12367.52,0.72,80374,2,10,A -1831,R100 ,R124 ,21141.71,1.23,95562,5,10,A -1832,R100 ,R124 ,23621.85,1.38,96302,5,10,A -1833,R100 ,R101 ,19920.1,1.16,95199,5,10,A -1834,R200 ,R206 ,18203.97,1.06,79823,9,10,A -1835,R400 ,R468 ,16198.49,0.94,79307,1,10,A -1836,R300 ,R306 ,13824.79,0.81,94702,6,10,A -1837,R300 ,R303 ,22022.48,1.28,94604,6,10,A -1838,R300 ,R379 ,15196.1,0.89,84238,9,10,A -1839,R400 ,R439 ,17488.48,1.02,77649,1,10,A -1840,R100 ,R123 ,14105.68,0.82,94868,7,10,A -1841,R100 ,R170 ,14982.58,0.87,80132,5,10,A -1842,R100 ,R144 ,13679.32,0.8,80824,7,10,A -1843,R200 ,R232 ,13696.45,0.8,80081,9,10,A -1845,R400 ,R461 ,14200.1,0.83,79798,3,10,A -1846,R200 ,R201 ,15056.43,0.88,79264,9,10,A -1847,R200 ,R260 ,15996.21,0.93,79961,10,10,A -1848,R100 ,R138 ,14031.96,0.82,79899,5,10,A -1849,R400 ,R423 ,27990.17,1.63,83772,2,10,A -1850,R300 ,R326 ,11244.58,0.66,79175,6,10,A -1851,R200 ,R245 ,10151.56,0.59,79793,9,10,A -1852,R300 ,R327 ,9960.07,0.58,68749,6,10,A -1853,R300 ,R315 ,14860.54,0.87,94787,4,10,A -1854,R400 ,R448 ,19617.32,1.14,84253,3,10,A -1855,R400 ,R447 ,13971.34,0.81,79714,1,10,A -1856,R400 ,R451 ,14806.54,0.86,77462,2,10,A -1857,R400 ,R466 ,12368.36,0.72,79735,3,10,A -1858,R400 ,R457 ,17193.94,1,84751,3,10,A -1859,R300 ,R314 ,15253.33,0.89,79869,4,10,A -1860,R300 ,R301 ,13214.67,0.77,72279,6,10,A -1861,R300 ,R302 ,9311.67,0.54,79778,6,10,A -1862,R200 ,R246 ,11821.07,0.69,79669,9,10,A -1863,R300 ,R376 ,13649.29,0.8,85204,9,10,A -1864,R400 ,R461 ,17747.76,1.04,85456,2,10,A -1865,R400 ,R446 ,11907.42,0.69,77515,2,10,A -1866,R400 ,R424 ,10758.13,0.63,79831,2,10,A -1867,R200 ,R205 ,31419.28,1.83,79816,9,10,A -1868,R200 ,R258 ,14414.18,0.84,79799,10,10,A -1869,R200 ,R248 ,45817.24,2.67,80760,9,10,A -1870,R300 ,R337 ,18913.16,1.1,79925,4,10,A -1871,R400 ,R411 ,12212.86,0.71,85340,3,10,A -1872,R300 ,R372 ,19657.74,1.15,94874,4,10,A -1873,R400 ,R466 ,15246.9,0.89,94627,3,10,A -1874,R400 ,R441 ,24903.13,1.45,94237,3,10,A -1875,R400 ,R431 ,16289.11,0.95,79478,3,10,A -1876,R300 ,R331 ,13350.36,0.78,80856,6,10,A -1877,R300 ,R303 ,11647.39,0.68,80199,6,10,A -1878,R100 ,R140 ,16216.42,0.95,80705,5,10,A -1879,R100 ,R145 ,15869.97,0.93,79855,5,10,A -1880,R100 ,R128 ,12781.86,0.75,67129,5,10,A -1881,R100 ,R121 ,15113.88,0.88,80071,5,10,A -1882,R100 ,R121 ,19062.39,1.11,79353,5,10,A -1883,R200 ,R258 ,14822.47,0.86,80070,10,10,A -1884,R200 ,R204 ,26238.15,1.53,78984,9,10,A -1885,R400 ,R455 ,19118.93,1.12,82904,2,10,A -1886,R400 ,R446 ,31838.76,1.86,86008,2,10,A -1887,R400 ,R459 ,12041.74,0.7,81088,2,10,A -1888,R100 ,R141 ,19317.01,1.13,82762,5,10,A -1889,R100 ,R116 ,19939.43,1.16,82383,5,10,A -1890,R400 ,R412 ,17656.4,1.03,80944,3,10,A -1891,R100 ,R167 ,12439.11,0.73,79208,6,10,A -1892,R300 ,R372 ,25971.98,1.51,82176,4,10,A -1893,R400 ,R412 ,20082.28,1.17,87646,3,10,A -1894,R300 ,R364 ,12266.28,0.72,79414,6,10,A -1895,R100 ,R110 ,16457.66,0.96,80015,5,10,A -1896,R100 ,R122 ,20302.75,1.18,96907,5,10,A -1897,R400 ,R412 ,15691.74,0.92,79834,3,10,A -1898,R400 ,R429 ,20319.46,1.19,88165,1,10,A -1901,R100 ,R105 ,21258.65,1.24,96988,7,10,A -1902,R100 ,R133 ,13075.84,0.76,80221,5,10,A -1903,R100 ,R115 ,19720.66,1.15,96988,5,10,A -1904,R300 ,R364 ,11880.47,0.69,79922,6,10,A -1905,R300 ,R379 ,13713.69,0.8,79842,9,10,A -1906,R200 ,R250 ,12129.36,0.71,79837,9,10,A -1907,R300 ,R332 ,11750.72,0.69,79740,4,10,A -1908,R300 ,R364 ,21818.37,1.27,96878,6,10,A -1910,R300 ,R350 ,13878.69,0.81,79101,4,10,A -1911,R100 ,R140 ,15783.9,0.92,79857,5,10,A -1912,R100 ,R112 ,18813.41,1.1,96663,5,10,A -1913,R100 ,R133 ,16319.96,0.95,79888,5,10,A -1914,R100 ,R118 ,11945.36,0.7,79962,7,10,A -1915,R400 ,R438 ,14269.23,0.83,80280,2,10,A -1916,R400 ,R460 ,11931.3,0.7,89345,1,10,A -1917,R400 ,R422 ,21152.09,1.23,85221,2,10,A -1918,R300 ,R365 ,20249.03,1.18,97938,4,10,A -1919,R100 ,R167 ,13211.57,0.77,79993,6,10,A -1920,R300 ,R331 ,19359.99,1.13,79428,4,10,A -1921,R300 ,R315 ,13109.37,0.76,97974,4,10,A -1922,R300 ,R342 ,10731.77,0.63,79641,6,10,A -1923,R300 ,R337 ,20608.75,1.2,79484,4,10,A -1924,R100 ,R141 ,18602.58,1.09,81866,5,10,A -1925,R100 ,R150 ,14823.37,0.86,79914,5,10,A -1926,R200 ,R211 ,16035.38,0.94,87307,9,10,A -1927,R200 ,R233 ,18089.89,1.06,87498,9,10,A -1928,R100 ,R175 ,18484,1.08,96664,8,10,A -1929,R400 ,R419 ,13479.94,0.79,84656,2,10,A -1930,R400 ,R470 ,19137.52,1.12,84530,1,10,A -1931,R400 ,R417 ,13417.49,0.78,79855,3,10,A -1932,R300 ,R372 ,17498.3,1.02,96635,4,10,A -1933,R100 ,R133 ,15007.42,0.88,79753,5,10,A -1934,R300 ,R360 ,15013.3,0.88,96416,4,10,A -1935,R300 ,R310 ,17898.13,1.04,96890,4,10,A -1936,R200 ,R222 ,21679.63,1.26,78857,9,10,A -1937,R300 ,R337 ,13952.96,0.81,79869,4,10,A -1938,R400 ,R415 ,10906.67,0.64,79407,3,10,A -1939,R100 ,R105 ,12791.38,0.75,79737,7,10,A -1940,R100 ,R173 ,12149.04,0.71,80004,5,10,A -1941,R300 ,R310 ,17674.22,1.03,79343,4,10,A -1942,R400 ,R452 ,11022.64,0.64,79859,1,10,A -1943,R100 ,R129 ,13999,0.82,79891,7,10,A -1944,R100 ,R129 ,22245.22,1.3,96663,7,10,A -1945,R100 ,R129 ,15443.5,0.9,96892,7,10,A -1946,R100 ,R172 ,13466.53,0.79,79837,5,10,A -1947,R200 ,R259 ,13569.47,0.79,80057,10,10,A -1948,R400 ,R424 ,14464.63,0.84,84468,2,10,A -1949,R400 ,R454 ,15832.45,0.92,80170,3,10,A -1950,R100 ,R122 ,15450.59,0.9,103127,5,10,A -1951,R100 ,R147 ,14901.96,0.87,79811,5,10,A -1952,R100 ,R118 ,17005.88,0.99,82313,7,10,A -1953,R300 ,R341 ,10380.56,0.61,79516,6,10,A -1954,R400 ,R459 ,12301.22,0.72,72326,2,10,A -1955,R400 ,R460 ,10912.26,0.64,79797,1,10,A -1956,R400 ,R460 ,13294.29,0.78,81816,1,10,A -1957,R200 ,R259 ,14672.85,0.86,80130,10,10,A -1958,R200 ,R248 ,16870.99,0.98,79947,9,10,A -1959,R300 ,R374 ,17293.8,1.01,94245,9,10,A -1960,R300 ,R379 ,22912.25,1.34,94275,9,10,A -1961,R200 ,R232 ,18783.31,1.1,79962,9,10,A -1962,R300 ,R306 ,8816.03,0.51,79780,6,10,A -1963,R300 ,R369 ,12178.13,0.71,79891,4,10,A -1964,R300 ,R336 ,18641.11,1.09,81507,4,10,A -1965,R400 ,R468 ,16174.39,0.94,79939,1,10,A -1966,R300 ,R313 ,15802.73,0.92,103129,4,10,A -1967,R300 ,R314 ,14475.79,0.84,79983,4,10,A -1968,R400 ,R417 ,14314.36,0.83,80046,3,10,A -1969,R100 ,R173 ,15678.41,0.91,80005,5,10,A -1970,R400 ,R411 ,12912.32,0.75,80040,3,10,A -1971,R100 ,R137 ,11438.97,0.67,80160,5,10,A -1972,R100 ,R169 ,12317.64,0.72,79571,5,10,A -1973,R300 ,R348 ,12927.16,0.75,79813,4,10,A -1974,R300 ,R315 ,12648.88,0.74,79979,4,10,A -1975,R300 ,R311 ,16395.99,0.96,79191,6,10,A -1976,R100 ,R177 ,17236.3,1.01,103121,8,10,A -1977,R100 ,R123 ,12964.93,0.76,80167,7,10,A -1978,R100 ,R173 ,16261.24,0.95,79886,5,10,A -1979,R300 ,R327 ,10674.13,0.62,79771,6,10,A -1980,R200 ,R239 ,21183.4,1.24,85248,9,10,A -1981,R300 ,R342 ,8779.61,0.51,79952,6,10,A -1982,R300 ,R341 ,11215.11,0.65,79818,6,10,A -1983,R300 ,R369 ,17104.06,1,79918,4,10,A -1984,R200 ,R237 ,11877.35,0.69,79974,9,10,A -2006,R400 ,R419 ,20153.3,1.18,84532,2,10,A -2007,R400 ,R412 ,10893.06,0.64,80028,3,10,A -2008,R300 ,R342 ,7908.83,0.46,79922,6,10,A -2009,R400 ,R447 ,13109.58,0.76,79743,1,10,A -2010,R100 ,R107 ,11830.41,0.69,82264,7,10,A -2011,R300 ,R362 ,12315.06,0.72,79954,4,10,A -2014,R100 ,R136 ,18046.87,1.05,84554,5,10,A -2015,R100 ,R136 ,11773.91,0.69,79827,5,10,A -2016,R100 ,R174 ,14287.05,0.83,79738,5,10,A -2017,R400 ,R466 ,11668.63,0.68,79714,3,10,A -2018,R200 ,R213 ,18777.98,1.1,84121,9,10,A -2019,R200 ,R217 ,14515.48,0.85,84567,9,10,A -2020,R200 ,R209 ,15833.8,0.92,80485,9,10,A -2021,R100 ,R179 ,16619.28,0.97,96887,8,10,A -2022,R300 ,R367 ,22285.2,1.3,96822,4,10,A -2023,R100 ,R177 ,18884.33,1.1,96607,8,10,A -2024,R400 ,R451 ,14800.4,0.86,80050,2,10,A -2025,R100 ,R124 ,15418.57,0.9,84509,5,10,A -2026,R200 ,R207 ,16593.37,0.97,84476,9,10,A -2027,R300 ,R337 ,13010.79,0.76,80042,4,10,A -2028,R100 ,R145 ,13746.54,0.8,79786,5,10,A -2029,R100 ,R179 ,15920.81,0.93,80039,8,10,A -2030,R200 ,R219 ,21262.98,1.24,82356,9,10,A -2031,R300 ,R378 ,14390.38,0.84,79793,6,10,A -2032,R300 ,R365 ,13460.31,0.79,79763,4,10,A -2033,R100 ,R148 ,14546.27,0.85,79707,5,10,A -2034,R300 ,R354 ,21253.59,1.24,96696,4,10,A -2035,R100 ,R145 ,15469.15,0.9,96887,5,10,A -2036,R300 ,R335 ,22126.21,1.29,96990,4,10,A -2037,R300 ,R358 ,11518.8,0.67,79906,4,10,A -2038,R400 ,R467 ,14318.05,0.84,79753,2,10,A -2040,R300 ,R354 ,17063.27,1,79439,4,10,A -2041,R100 ,R105 ,12355.08,0.72,83548,7,10,A -2042,R300 ,R342 ,16031.24,0.94,96935,6,10,A -2043,R100 ,R144 ,12732.6,0.74,79972,7,10,A -2044,R100 ,R171 ,11796.18,0.69,80039,5,10,A -2045,R400 ,R460 ,13842.5,0.81,78700,1,10,A -2046,R100 ,R102 ,15801.65,0.92,97524,5,10,A -2048,R100 ,R133 ,15655.3,0.91,80039,5,10,A -2051,R200 ,R202 ,16135.06,0.94,82512,9,10,A -2052,R100 ,R175 ,17685.1,1.03,96997,8,10,A -2053,R300 ,R333 ,13709.08,0.8,80059,4,10,A -2055,R300 ,R331 ,13899.73,0.81,79476,4,10,A -2056,R300 ,R335 ,16237.46,0.95,96931,4,10,A -2057,R300 ,R351 ,21884.11,1.28,81995,4,10,A -2058,R300 ,R324 ,14026.92,0.82,79530,4,10,A -2059,R300 ,R320 ,15837.23,0.92,96931,4,10,A -2061,R300 ,R301 ,11518.39,0.67,79617,6,10,A -2062,R300 ,R324 ,15010.69,0.88,79725,4,10,A -2063,R300 ,R320 ,22742.94,1.33,97807,4,10,A -2064,R300 ,R354 ,12526.87,0.73,79854,4,10,A -2065,R300 ,R310 ,14059.85,0.82,96712,4,10,A -2066,R300 ,R364 ,13446.13,0.78,79811,6,10,A -2067,R300 ,R310 ,14790.46,0.86,95402,4,10,A -2068,R100 ,R168 ,12474.44,0.73,79974,5,10,A -2069,R300 ,R372 ,19794.26,1.15,96935,4,10,A -2070,R100 ,R169 ,18237.02,1.06,82352,5,10,A -2071,R400 ,R457 ,13884.61,0.81,79833,3,10,A -2072,R400 ,R453 ,15049.46,0.88,80252,3,10,A -2073,R400 ,R470 ,12944.49,0.75,79637,1,10,A -2074,R300 ,R355 ,10997.2,0.64,79476,4,10,A -2075,R400 ,R462 ,16673.55,0.97,85512,3,10,A -2076,R400 ,R451 ,11758,0.69,79795,2,10,A -2077,R400 ,R430 ,12219.16,0.71,79634,3,10,A -2078,R100 ,R116 ,18619.49,1.09,84892,5,10,A -2079,R100 ,R141 ,20343.1,1.19,85510,5,10,A -2080,R300 ,R362 ,12605.45,0.74,101681,4,10,A -2081,R100 ,R121 ,17503.82,1.02,96676,5,10,A -2082,R200 ,R244 ,14148.16,0.83,79830,9,10,A -2083,R300 ,R375 ,14948.88,0.87,84188,9,10,A -2084,R300 ,R369 ,11805.45,0.69,82776,4,10,A -2085,R300 ,R348 ,13948.75,0.81,79817,4,10,A -2086,R100 ,R169 ,13041.89,0.76,79795,5,10,A -2087,R100 ,R145 ,22546.95,1.32,81928,5,10,A -2088,R200 ,R233 ,18525.42,1.08,84224,9,10,A -2089,R300 ,R353 ,14135.17,0.82,96672,6,10,A -2090,R300 ,R355 ,13911.55,0.81,79848,4,10,A -2091,R300 ,R334 ,15409.45,0.9,97477,4,10,A -2092,R300 ,R318 ,19802.69,1.15,103290,4,10,A -2093,R300 ,R364 ,24946.24,1.45,81803,6,10,A -2095,R100 ,R129 ,14597.45,0.85,76959,6,10,A -2096,R200 ,R218 ,13918.17,0.81,79279,9,10,A -2098,R100 ,R167 ,11273.99,0.66,80161,7,10,A -2099,R400 ,R431 ,13274.74,0.77,80095,3,10,A -2100,R400 ,R430 ,11881.95,0.69,80161,3,10,A -2101,R100 ,R126 ,25991.63,1.52,92390,5,10,A -2102,R400 ,R424 ,11910.75,0.69,79940,2,10,A -2103,R100 ,R118 ,13708.19,0.8,82487,7,10,A -2104,R400 ,R422 ,14904.77,0.87,80190,2,10,A -2105,R100 ,R135 ,13635.68,0.8,82171,5,10,A -2106,R100 ,R146 ,21886.76,1.28,102399,5,10,A -2108,R300 ,R358 ,13209.06,0.77,80355,4,10,A -2109,R300 ,R349 ,13425.73,0.78,81724,4,10,A -2110,R200 ,R260 ,15506.9,0.9,80371,10,10,A -2111,R300 ,R371 ,12067.51,0.7,80126,4,10,A -2112,R300 ,R305 ,11248.22,0.66,80161,6,10,A -2113,R100 ,R134 ,16154.26,0.94,82041,5,10,A -2114,R400 ,R454 ,12706.22,0.74,79999,3,10,A -2115,R200 ,R208 ,12969.02,0.76,84158,9,10,A -2118,R300 ,R314 ,17591.29,1.03,101926,4,10,A -2119,R100 ,R171 ,13437.88,0.78,77429,5,10,A -2120,R400 ,R447 ,13448.13,0.78,80226,1,10,A -2121,R300 ,R334 ,15421.05,0.9,84352,4,10,A -2122,R100 ,R122 ,16351.93,0.95,79868,5,10,A -2123,R100 ,R178 ,18344.56,1.07,79905,8,10,A -2124,R400 ,R421 ,24831.76,1.45,86198,3,10,A -2125,R100 ,R107 ,16321.94,0.95,79771,7,10,A -2126,R300 ,R333 ,14207.28,0.83,80194,4,10,A -2127,R400 ,R439 ,14587.04,0.85,79317,1,10,A -2128,R200 ,R202 ,18280.45,1.07,81453,9,10,A -2129,R300 ,R336 ,13316.84,0.78,77316,4,10,A -2130,R400 ,R447 ,16133.54,0.94,80237,1,10,A -2131,R400 ,R421 ,16672.83,0.97,80356,3,10,A -2132,R300 ,R355 ,13031.92,0.76,96653,4,10,A -2133,R400 ,R415 ,13025,0.76,82355,3,10,A -2134,R300 ,R358 ,18768.16,1.09,80517,4,10,A -2135,R100 ,R126 ,11790.14,0.69,82548,5,10,A -2136,R200 ,R259 ,12598.14,0.73,81907,10,10,A -2137,R300 ,R336 ,29282.46,1.71,85373,4,10,A -2138,R400 ,R466 ,15357.32,0.9,96757,3,10,A -2139,R300 ,R311 ,11320.49,0.66,83197,6,10,A -2140,R300 ,R376 ,18635.02,1.09,101204,9,10,A -2141,R400 ,R419 ,17782.43,1.04,82185,2,10,A -2142,R300 ,R326 ,14030.84,0.82,95921,6,10,A -2143,R200 ,R209 ,18214.6,1.06,88818,9,10,A -2144,R300 ,R364 ,12214.72,0.71,82363,6,10,A -2145,R300 ,R321 ,15779.07,0.92,95958,6,10,A -2146,R300 ,R318 ,19087.89,1.11,100315,4,10,A -2147,R200 ,R217 ,15700.89,0.92,82594,9,10,A -2149,R300 ,R375 ,13284.48,0.77,82217,9,10,A -2150,R100 ,R178 ,14546.06,0.85,82403,8,10,A -2151,R200 ,R202 ,18247.93,1.06,84705,9,10,A -2152,R300 ,R305 ,12708.48,0.74,82672,6,10,A -2153,R300 ,R340 ,11820.02,0.69,82680,4,10,A -2154,R300 ,R359 ,13939.34,0.81,81971,4,10,A -2155,R300 ,R315 ,11028.44,0.64,82218,4,10,A -2156,R400 ,R460 ,15043.97,0.88,80276,1,10,A -2157,R100 ,R170 ,11986.52,0.7,82655,5,10,A -2158,R400 ,R467 ,12458.49,0.73,82241,2,10,A -2159,R100 ,R174 ,9543.22,0.56,83075,5,10,A -2161,R100 ,R170 ,15143.77,0.88,82722,5,10,A -2163,R200 ,R261 ,17502.73,1.02,82555,9,10,A -2164,R300 ,R380 ,13939.14,0.81,82340,9,10,A -2165,R200 ,R261 ,18428.88,1.07,84447,9,10,A -2166,R400 ,R447 ,12957.95,0.76,82709,1,10,A -2167,R400 ,R428 ,13447.78,0.78,82544,1,10,A -2168,R300 ,R371 ,11369.85,0.66,82675,4,10,A -2169,R300 ,R362 ,20325.35,1.19,95961,4,10,A -2170,R400 ,R422 ,12172.56,0.71,82272,2,10,A -2171,R300 ,R335 ,15182.74,0.89,82583,4,10,A -2172,R400 ,R453 ,14327.61,0.84,83077,3,10,A -2173,R400 ,R470 ,12794.02,0.75,82181,1,10,A -2174,R300 ,R346 ,12391.72,0.72,82601,4,10,A -2175,R400 ,R466 ,10997.7,0.64,82857,3,10,A -2176,R300 ,R379 ,25009.47,1.46,83900,9,10,A -2177,R100 ,R115 ,13191.28,0.77,82115,5,10,A -2178,R100 ,R135 ,21199.34,1.24,80171,5,10,A -2179,R200 ,R217 ,11191.94,0.65,82666,9,10,A -2180,R100 ,R114 ,19791.33,1.15,98251,5,10,A -2181,R400 ,R422 ,12618.57,0.74,84927,2,10,A -2182,R400 ,R447 ,12903.72,0.75,82275,1,10,A -2183,R100 ,R175 ,14774.68,0.86,95872,8,10,A -2184,R400 ,R454 ,14525.17,0.85,82530,3,10,A -2185,R200 ,R211 ,14338.59,0.84,84052,9,10,A -2186,R400 ,R431 ,13942.39,0.81,82838,3,10,A -2187,R300 ,R327 ,10701.3,0.62,81841,6,10,A -2188,R300 ,R349 ,21189.37,1.24,82204,4,10,A -2189,R100 ,R101 ,24105.11,1.41,98135,5,10,A -2190,R300 ,R352 ,12424.24,0.72,81751,6,10,A -2191,R400 ,R416 ,9003.96,0.53,81839,2,10,A -2192,R200 ,R264 ,13160.13,0.77,82140,10,10,A -2193,R100 ,R131 ,21700.84,1.27,104591,5,10,A -2194,R100 ,R143 ,21255.94,1.24,83071,8,10,A -2195,R200 ,R232 ,81115.94,4.73,81631,9,10,A -2196,R300 ,R367 ,11416.52,0.67,83971,4,10,A -2197,R100 ,R175 ,20485.02,1.19,95794,8,10,A -2199,R100 ,R110 ,15465.15,0.9,82252,5,10,A -2200,R100 ,R126 ,17905.31,1.04,98368,5,10,A -2201,R400 ,R430 ,15054.4,0.88,82198,3,10,A -2202,R400 ,R431 ,19492.92,1.14,84493,3,10,A -2203,R300 ,R370 ,12279.02,0.72,82433,3,10,A -2204,R100 ,R167 ,13945.06,0.81,82000,6,10,A -2205,R300 ,R311 ,11948.89,0.7,82517,6,10,A -2206,R100 ,R161 ,17124.9,1,82683,10,10,A -2207,R100 ,R135 ,13115.65,0.76,82368,5,10,A -2208,R300 ,R348 ,15921.09,0.93,82277,4,10,A -2210,R300 ,R310 ,20953.26,1.22,98033,4,10,A -2211,R400 ,R416 ,11981.49,0.7,82314,2,10,A -2212,R400 ,R423 ,24660.11,1.44,91947,2,10,A -2213,R400 ,R439 ,12549.89,0.73,82258,1,10,A -2214,R200 ,R208 ,14361.37,0.84,83147,9,10,A -2216,R300 ,R374 ,19632.56,1.15,95591,6,10,A -2217,R100 ,R133 ,15569.67,0.91,82555,5,10,A -2218,R100 ,R176 ,19129.39,1.12,95853,8,10,A -2219,R100 ,R177 ,20773.99,1.21,95921,8,10,A -2220,R300 ,R301 ,19264.01,1.12,95883,6,10,A -2221,R100 ,R177 ,19171.12,1.12,98530,8,10,A -2222,R100 ,R123 ,15223.32,0.89,82572,7,10,A -2223,R100 ,R131 ,12062.63,0.7,82769,5,10,A -2224,R300 ,R305 ,12026.39,0.7,82008,6,10,A -2225,R100 ,R179 ,15380.23,0.9,82815,8,10,A -2226,R100 ,R174 ,13300.03,0.78,79568,5,10,A -2227,R300 ,R375 ,18671.34,1.09,97381,9,10,A -2228,R100 ,R174 ,12586.78,0.73,79749,5,10,A -2229,R100 ,R102 ,28290.13,1.65,104399,5,10,A -2230,R100 ,R137 ,20244.76,1.18,82346,5,10,A -2231,R400 ,R454 ,12315.13,0.72,82023,3,10,A -2232,R200 ,R201 ,16960.15,0.99,84026,9,10,A -2233,R300 ,R315 ,14477.09,0.84,97840,4,10,A -2234,R300 ,R302 ,10622.44,0.62,102469,6,10,A -2235,R300 ,R354 ,19945.87,1.16,102327,4,10,A -2236,R300 ,R377 ,17565.23,1.02,98398,9,10,A -2237,R300 ,R305 ,14789.51,0.86,81809,6,10,A -2238,R200 ,R237 ,17540.29,1.02,81739,9,10,A -2239,R300 ,R327 ,16317.28,0.95,102368,6,10,A -2240,R300 ,R369 ,12964.15,0.76,82422,4,10,A -2241,R400 ,R431 ,14083.83,0.82,82689,3,10,A -2243,R300 ,R306 ,13982.8,0.82,98028,6,10,A -2244,R300 ,R355 ,15384.29,0.9,84647,4,10,A -2245,R200 ,R206 ,18086.36,1.05,82114,9,10,A -2246,R400 ,R461 ,13631.19,0.8,82987,3,10,A -2247,R400 ,R451 ,14377,0.84,81651,2,10,A -2248,R300 ,R360 ,12583.95,0.73,82718,4,10,A -2249,R400 ,R460 ,13104.62,0.76,82302,1,10,A -2250,R400 ,R457 ,12185.7,0.71,82698,3,10,A -2251,R100 ,R150 ,15613.2,0.91,82608,5,10,A -2252,R200 ,R245 ,12439.23,0.73,82391,9,10,A -2253,R400 ,R467 ,13349.91,0.78,82792,2,10,A -2254,R100 ,R134 ,13982.43,0.82,79882,5,10,A -2255,R100 ,R118 ,12695.01,0.74,82319,7,10,A -2256,R400 ,R450 ,11696.3,0.68,81964,2,10,A -2258,R400 ,R429 ,13082.13,0.76,85561,1,10,A -2259,R400 ,R412 ,23898.41,1.39,87461,3,10,A -2260,R200 ,R248 ,16211.26,0.95,98284,9,10,A -2261,R100 ,R179 ,21320.48,1.24,96619,8,10,A -2262,R400 ,R430 ,11808.71,0.69,82719,3,10,A -2264,R300 ,R324 ,27120.06,1.58,102684,4,10,A -2265,R300 ,R318 ,11890.78,0.69,82459,4,10,A -2266,R100 ,R174 ,18072.21,1.05,82387,5,10,A -2267,R400 ,R470 ,13125.4,0.77,82677,1,10,A -2268,R200 ,R246 ,12944.3,0.75,82302,9,10,A -2269,R300 ,R360 ,12743.29,0.74,82054,4,10,A -2270,R200 ,R220 ,17684.44,1.03,82589,9,10,A -2271,R400 ,R415 ,20206.73,1.18,84460,3,10,A -2272,R400 ,R441 ,15535.61,0.91,82290,3,10,A -2273,R300 ,R353 ,12140.39,0.71,82402,6,10,A -2274,R300 ,R340 ,12462.88,0.73,82754,4,10,A -2275,R200 ,R207 ,15040.35,0.88,82932,9,10,A -2276,R300 ,R340 ,13076.17,0.76,82715,4,10,A -2277,R300 ,R337 ,15381.21,0.9,79507,4,10,A -2278,R300 ,R306 ,8577.29,0.5,82776,6,10,A -2279,R300 ,R359 ,11524.71,0.67,82048,4,10,A -2280,R200 ,R239 ,18666.58,1.09,82375,9,10,A -2281,R200 ,R233 ,16828.93,0.98,82439,9,10,A -2283,R300 ,R302 ,10424.27,0.61,81779,6,10,A -2284,R100 ,R167 ,9327.15,0.54,82310,6,10,A -2287,R400 ,R452 ,14367.85,0.84,82476,1,10,A -2288,R300 ,R322 ,11427.84,0.67,98196,6,10,A -2289,R300 ,R314 ,13654.12,0.8,102718,4,10,A -2290,R200 ,R265 ,17523.14,1.02,82140,10,10,A -2292,R400 ,R428 ,13748.51,0.8,82304,1,10,A -2294,R400 ,R457 ,13577.8,0.79,82848,3,10,A -2295,R400 ,R467 ,11937.38,0.7,82713,2,10,A -2296,R300 ,R370 ,11253.68,0.66,82845,3,10,A -2297,R400 ,R457 ,13328.51,0.78,82301,3,10,A -2300,R100 ,R163 ,23676.61,1.38,102560,5,10,A -2301,R300 ,R315 ,12067.75,0.7,79580,4,10,A -2302,R400 ,R431 ,12003.96,0.7,82325,3,10,A -2303,R100 ,R107 ,21916.35,1.28,102791,7,10,A -2304,R200 ,R202 ,16984.39,0.99,92431,9,10,A -2305,R400 ,R460 ,13259.1,0.77,83617,1,10,A -2306,R200 ,R245 ,12004.62,0.7,81802,9,10,A -2307,R200 ,R236 ,21543.6,1.26,87697,9,10,A -2308,R300 ,R351 ,11655,0.68,82714,3,10,A -2309,R200 ,R232 ,14751.69,0.86,102578,9,10,A -2310,R400 ,R415 ,16000.5,0.93,81887,3,10,A -2312,R400 ,R453 ,23583.75,1.38,92086,3,10,A -2313,R100 ,R163 ,31423.53,1.83,104449,5,10,A -2314,R200 ,R265 ,15517.41,0.91,82921,10,10,A -2315,R400 ,R447 ,21727.61,1.27,82276,1,10,A -2316,R300 ,R320 ,15477.38,0.9,97942,4,10,A -2317,R300 ,R320 ,19986.85,1.17,103536,4,10,A -2319,R200 ,R207 ,19689.77,1.15,82769,9,10,A -2320,R300 ,R303 ,15413.78,0.9,103649,6,10,A -2321,R100 ,R111 ,16703.16,0.97,103492,5,10,A -2322,R100 ,R170 ,18035.07,1.05,82761,5,10,A -2323,R400 ,R466 ,13828.03,0.81,104043,3,10,A -2324,R400 ,R467 ,16118.75,0.94,82227,2,10,A -2325,R400 ,R452 ,11186.67,0.65,82428,1,10,A -2326,R100 ,R107 ,18733.23,1.09,103451,7,10,A -2327,R100 ,R136 ,13390.27,0.78,82875,5,10,A -2328,R200 ,R207 ,16998.92,0.99,83584,9,10,A -2329,R200 ,R219 ,20467.54,1.19,84992,9,10,A -2330,R100 ,R117 ,13410.92,0.78,82072,5,10,A -2331,R300 ,R350 ,17189.98,1,82050,4,10,A -2332,R300 ,R351 ,12842.81,0.75,82366,4,10,A -2333,R300 ,R335 ,15113.19,0.88,79522,4,10,A -2334,R300 ,R306 ,9482,0.55,82479,6,10,A -2335,R300 ,R302 ,14171.57,0.83,101330,6,10,A -2337,R400 ,R417 ,11256.92,0.66,82257,3,10,A -2338,R300 ,R326 ,19559.39,1.14,101316,6,10,A -2339,R200 ,R262 ,30081,1.75,88269,10,10,A -2340,R100 ,R163 ,18175.89,1.06,103620,5,10,A -2341,R300 ,R375 ,13774.94,0.8,82599,9,10,A -2342,R300 ,R341 ,14026.97,0.82,102964,6,10,A -2343,R100 ,R179 ,13508.68,0.79,82251,8,10,A -2345,R100 ,R118 ,14386.95,0.84,82330,7,10,A -2346,R100 ,R171 ,14719.41,0.86,82289,5,10,A -2347,R200 ,R218 ,11198.63,0.65,82277,9,10,A -2348,R100 ,R150 ,13182.36,0.77,82360,5,10,A -2349,R200 ,R250 ,17487.19,1.02,103132,9,10,A -2350,R200 ,R219 ,17382.19,1.01,97725,9,10,A -2351,R100 ,R174 ,13315.86,0.78,79494,5,10,A -2354,R300 ,R375 ,15840.96,0.92,103776,9,10,A -2355,R300 ,R340 ,10969.41,0.64,82363,4,10,A -2356,R300 ,R304 ,13665.86,0.8,82201,6,10,A -2357,R100 ,R129 ,21272.94,1.24,82116,6,10,A -2358,R100 ,R173 ,12503.48,0.73,82246,5,10,A -2359,R200 ,R213 ,13391.61,0.78,82322,9,10,A -2360,R300 ,R333 ,18988.72,1.11,103204,4,10,A -2361,R400 ,R460 ,17916.09,1.04,92397,1,10,A -2362,R300 ,R369 ,13196.91,0.77,103637,4,10,A -2363,R300 ,R320 ,15580.11,0.91,103715,4,10,A -2364,R300 ,R313 ,16405.13,0.96,111024,4,10,A -2365,R300 ,R374 ,18410.06,1.07,103609,9,10,A -2366,R300 ,R314 ,13287.57,0.78,82209,4,10,A -2367,R300 ,R333 ,13534.64,0.79,82289,4,10,A -2368,R300 ,R380 ,11108.29,0.65,82270,9,10,A -2369,R300 ,R320 ,11140.3,0.65,82334,4,10,A -2370,R300 ,R365 ,20821.61,1.21,100164,4,10,A -2371,R200 ,R262 ,29785.77,1.74,88020,10,10,A -2372,R200 ,R262 ,36310.74,2.12,87847,10,10,A -2373,R100 ,R141 ,23314.18,1.36,88792,5,10,A -2374,R300 ,R306 ,11208.65,0.65,82292,6,10,A -2375,R300 ,R340 ,11086.8,0.65,82382,4,10,A -2376,R300 ,R365 ,13742.95,0.8,101479,4,10,A -2377,R300 ,R353 ,11964.7,0.7,82341,6,10,A -2378,R100 ,R115 ,18158.26,1.06,102945,5,10,A -2379,R400 ,R457 ,13095.58,0.76,82376,3,10,A -2380,R400 ,R469 ,15786.46,0.92,83341,2,10,A -2381,R400 ,R446 ,20390.42,1.19,82841,2,10,A -2382,R400 ,R416 ,10784.53,0.63,82487,2,10,A -2383,R100 ,R107 ,19469.75,1.14,103679,7,10,A -2384,R400 ,R422 ,17722.2,1.03,82585,2,10,A -2385,R400 ,R430 ,14009.86,0.82,81934,3,10,A -2386,R200 ,R218 ,12348.87,0.72,101445,9,10,A -2387,R300 ,R335 ,12542.55,0.73,82295,4,10,A -2388,R100 ,R150 ,15505.85,0.9,82046,5,10,A -2389,R300 ,R304 ,20579.06,1.2,103125,6,10,A -2390,R100 ,R163 ,23943.77,1.4,105381,5,10,A -2391,R100 ,R138 ,13943.97,0.81,82922,5,10,A -2392,R400 ,R450 ,15908.74,0.93,82089,2,10,A -2394,R400 ,R415 ,13287.04,0.77,82259,3,10,A -2395,R300 ,R355 ,14161.52,0.83,82534,4,10,A -2396,R300 ,R370 ,11884.73,0.69,82555,3,10,A -2397,R200 ,R244 ,15628.89,0.91,83338,9,10,A -2398,R200 ,R240 ,17118.96,1,88129,9,10,A -2399,R400 ,R461 ,14808.26,0.86,82540,3,10,A -2400,R300 ,R375 ,15323.16,0.89,102712,9,10,A -2403,R100 ,R176 ,25435.33,1.48,102986,8,10,A -2404,R300 ,R380 ,15046.5,0.88,79480,9,10,A -2406,R100 ,R102 ,23477.23,1.37,97351,5,10,A -2407,R300 ,R358 ,10225.27,0.6,82339,3,10,A -2408,R200 ,R208 ,14322.74,0.84,82396,9,10,A -2409,R300 ,R341 ,14274.87,0.83,82387,6,10,A -2410,R200 ,R257 ,61584.24,3.59,89082,9,10,A -2411,R200 ,R257 ,50207.23,2.93,86764,9,10,A -2412,R200 ,R257 ,48383.53,2.82,86717,9,10,A -2414,R100 ,R117 ,13409.28,0.78,82272,5,10,A -2415,R100 ,R148 ,13091.96,0.76,79563,5,10,A -2418,R400 ,R462 ,16515.58,0.96,82365,3,10,A -2419,R300 ,R311 ,16511.15,0.96,103695,6,10,A -2420,R200 ,R250 ,13985.84,0.82,82255,9,10,A -2421,R200 ,R244 ,15128.36,0.88,82941,9,10,A -2422,R100 ,R129 ,13669.47,0.8,82291,6,10,A -2423,R100 ,R123 ,19437.21,1.13,82301,7,10,A -2424,R200 ,R207 ,17662.86,1.03,82183,9,10,A -2425,R300 ,R342 ,8287.99,0.48,82124,6,10,A -2426,R300 ,R327 ,14875.68,0.87,103658,6,10,A -2427,R300 ,R310 ,20554.44,1.2,87393,4,10,A -2428,R300 ,R304 ,14166.64,0.83,82240,6,10,A -2429,R300 ,R322 ,11837.59,0.69,82343,6,10,A -2430,R400 ,R428 ,14300.46,0.83,85134,1,10,A -2431,R300 ,R334 ,13900.18,0.81,102189,4,10,A -2432,R400 ,R439 ,12124.78,0.71,82311,1,10,A -2433,R400 ,R439 ,10645.27,0.62,82236,1,10,A -2434,R400 ,R460 ,16641.42,0.97,81961,1,10,A -2436,R400 ,R417 ,12524.26,0.73,82324,3,10,A -2437,R400 ,R431 ,13571.89,0.79,82214,3,10,A -2438,R300 ,R322 ,10645.93,0.62,82382,6,10,A -2439,R400 ,R431 ,13430.15,0.78,82287,3,10,A -2440,R100 ,R133 ,14561.68,0.85,82278,5,10,A -2442,R300 ,R332 ,14268.32,0.83,82355,4,10,A -2445,R300 ,R359 ,12342.84,0.72,82306,4,10,A -2446,R400 ,R461 ,13878.56,0.81,82109,2,10,A -2448,R100 ,R129 ,11575.58,0.68,79562,7,10,A -2449,R100 ,R101 ,16443.63,0.96,85996,5,10,A -2450,R100 ,R169 ,13559.36,0.79,85639,5,10,A -2451,R400 ,R469 ,27828.52,1.62,87111,2,10,A -2454,R100 ,R107 ,18016.56,1.05,82387,7,10,A -2455,R200 ,R208 ,15834.51,0.92,82590,9,10,A -2456,R100 ,R124 ,21347.96,1.25,107394,5,10,A -2457,R100 ,R176 ,21077.64,1.23,82430,8,10,A -2458,R100 ,R177 ,13321.8,0.78,82233,8,10,A -2459,R400 ,R438 ,12407.12,0.72,82135,2,10,A -2460,R300 ,R301 ,11315.18,0.66,81996,6,10,A -2461,R400 ,R438 ,13038.79,0.76,82284,2,10,A -2462,R200 ,R240 ,16201.64,0.94,85529,9,10,A -2463,R200 ,R246 ,17660.66,1.03,86038,9,10,A -2465,R200 ,R231 ,36242.28,2.11,84466,9,10,A -2467,R300 ,R327 ,10961.99,0.64,81855,6,10,A -2468,R200 ,R248 ,21042.87,1.23,103779,9,10,A -2469,R200 ,R250 ,13626.16,0.79,84451,9,10,A -2470,R200 ,R207 ,17761.54,1.04,82584,9,10,A -2471,R200 ,R205 ,17599.8,1.03,103431,9,10,A -2472,R200 ,R220 ,16118.77,0.94,81977,9,10,A -2473,R100 ,R168 ,20818.76,1.21,85348,4,10,A -2474,R300 ,R332 ,16935.71,0.99,85941,4,10,A -2475,R400 ,R459 ,25298.57,1.48,87391,2,10,A -2476,R300 ,R334 ,27801.12,1.62,108688,4,10,A -2478,R400 ,R417 ,13047.21,0.76,85748,3,10,A -2480,R400 ,R470 ,13099.1,0.76,86377,1,10,A -2482,R200 ,R244 ,17448.65,1.02,86586,9,10,A -2483,R100 ,R172 ,14827.66,0.86,85442,4,10,A -2485,R300 ,R359 ,12974.87,0.76,82918,4,10,A -2486,R100 ,R172 ,13628.4,0.79,85822,5,10,A -2488,R100 ,R172 ,16422.61,0.96,86006,5,10,A -2489,R300 ,R314 ,12425.12,0.72,85675,4,10,A -2490,R100 ,R121 ,19147.89,1.12,106766,5,10,A -2491,R100 ,R146 ,16506.59,0.96,85927,5,10,A -2492,R200 ,R246 ,16992.46,0.99,83759,9,10,A -2493,R300 ,R346 ,11287.76,0.66,85804,4,10,A -2494,R300 ,R303 ,12446.28,0.73,85769,6,10,A -2495,R300 ,R341 ,15332.87,0.89,107348,6,10,A -2496,R400 ,R453 ,13449.38,0.78,82821,3,10,A -2497,R300 ,R373 ,12544.15,0.73,85952,9,10,A -2498,R100 ,R167 ,15550.81,0.91,85803,6,10,A -2499,R200 ,R205 ,15762.52,0.92,107308,9,10,A -2501,R300 ,R370 ,14101.51,0.82,85787,3,10,A -2503,R300 ,R340 ,17639.27,1.03,103610,4,10,A -2516,R300 ,R302 ,14469.06,0.84,107351,6,10,A -2519,R100 ,R102 ,12477.91,0.73,86712,5,10,A -2520,R300 ,R326 ,10930.01,0.64,107443,6,10,A -2523,R200 ,R258 ,21739.93,1.27,85996,10,10,A -2524,R200 ,R250 ,18610.44,1.09,85127,9,10,A -2525,R100 ,R123 ,13790.05,0.8,85698,7,10,A -2526,R100 ,R127 ,12976.58,0.76,82494,7,10,A -2527,R400 ,R421 ,13644.45,0.8,85782,3,10,A -2528,R400 ,R416 ,11215.47,0.65,82825,2,10,A -2529,R400 ,R431 ,14783.81,0.86,85807,3,10,A -2530,R400 ,R447 ,12060.87,0.7,81769,1,10,A -2531,R300 ,R331 ,14006.88,0.82,82502,6,10,A -2532,R400 ,R428 ,18832.66,1.1,85689,1,10,A -2533,R300 ,R304 ,13237.56,0.77,82865,6,10,A -2534,R300 ,R331 ,12611.23,0.74,85262,6,10,A -2536,R400 ,R461 ,16009.96,0.93,85859,3,10,A -2537,R400 ,R421 ,14867.53,0.87,85862,3,10,A -2538,R400 ,R457 ,13153.08,0.77,82572,3,10,A -2540,R100 ,R143 ,17659.94,1.03,86399,8,10,A -2542,R100 ,R129 ,20273.52,1.18,103504,6,10,A -2544,R100 ,R135 ,14674.67,0.86,85980,5,10,A -2545,R400 ,R453 ,17078.18,1,85916,3,10,A -2546,R100 ,R110 ,14497.89,0.85,85943,5,10,A -2547,R300 ,R360 ,11536.51,0.67,85792,4,10,A -2548,R400 ,R421 ,14093.4,0.82,75582,3,10,A -2550,R300 ,R302 ,10857.29,0.63,103940,6,10,A -2557,R100 ,R172 ,14412.47,0.84,86062,5,10,A -2559,R100 ,R122 ,15308.18,0.89,82554,5,10,A -2565,R300 ,R362 ,6955.21,0.41,86031,4,10,A -2567,R400 ,R431 ,14185.38,0.83,86057,3,10,A -2568,R300 ,R380 ,20486.14,1.19,86392,9,10,A -2569,R300 ,R373 ,13379.83,0.78,85898,9,10,A -2570,R400 ,R468 ,14667.2,0.86,86060,1,10,A -2572,R300 ,R302 ,20958.4,1.22,101369,6,10,A -2581,R200 ,R233 ,15178.5,0.89,85236,9,10,A -2584,R200 ,R233 ,20568.84,1.2,87380,9,10,A -2586,R100 ,R110 ,19215.74,1.12,86289,5,10,A -2596,R400 ,R421 ,14129.75,0.82,86612,3,10,A -2601,R200 ,R212 ,18532.38,1.08,85641,9,10,A -2604,R200 ,R208 ,14991.21,0.87,86813,9,10,A -2605,R200 ,R233 ,20680.12,1.21,87313,9,10,A -2607,R400 ,R428 ,10917.01,0.64,86008,1,10,A -2608,R400 ,R461 ,14096.88,0.82,78437,3,10,A -2609,R100 ,R178 ,15797.52,0.92,86118,8,10,A -2613,R100 ,R116 ,26971.71,1.57,83519,5,10,A -2615,R200 ,R237 ,19736.55,1.15,83372,9,10,A -2627,R200 ,R263 ,16619.9,0.97,85914,9,10,A -2631,R400 ,R415 ,15121.29,0.88,83229,3,10,A -2632,R200 ,R239 ,20718.86,1.21,86716,9,10,A -2641,R100 ,R178 ,22049.41,1.29,85386,8,10,A -2649,R400 ,R429 ,17883.65,1.04,86430,1,10,A -2660,R200 ,R257 ,50337.47,2.94,85572,9,10,A -2682,R200 ,R257 ,60787.18,3.55,86688,9,10,A -2693,R400 ,R429 ,22348.01,1.3,78343,1,10,A -2697,R200 ,R257 ,49197.17,2.87,86717,9,10,A -2715,R200 ,R250 ,18163.03,1.06,85629,9,10,A -2716,R100 ,R179 ,26029.89,1.52,103599,8,10,A -2717,R100 ,R179 ,16868.81,0.98,84045,8,10,A -2721,R300 ,R372 ,15351.64,0.9,86076,4,10,A -2725,R300 ,R322 ,6638.75,0.39,82643,6,10,A -2727,R300 ,R301 ,12836.29,0.75,86223,6,10,A -2728,R100 ,R168 ,14313.97,0.83,82660,4,10,A -2729,R400 ,R470 ,14787.04,0.86,85163,1,10,A -2730,R200 ,R261 ,19808.13,1.16,85619,9,10,A -2737,R100 ,R167 ,14397.33,0.84,85650,6,10,A -2739,R300 ,R301 ,10245.67,0.6,85796,6,10,A -2742,R300 ,R350 ,17037.35,0.99,86116,4,10,A -2744,R200 ,R213 ,16037.01,0.94,86827,9,10,A -2747,R300 ,R379 ,15020.35,0.88,87031,9,10,A -2753,R400 ,R419 ,20767.47,1.21,82700,2,10,A -2754,R300 ,R342 ,11179.4,0.65,79305,6,10,A -2757,R400 ,R454 ,23500.78,1.37,87536,3,10,A -2759,R200 ,R240 ,21761.92,1.27,86306,9,10,A -2760,R200 ,R240 ,19140.67,1.12,86140,9,10,A -2764,R400 ,R453 ,20121.51,1.17,85110,3,10,A -2765,R100 ,R146 ,21144.9,1.23,86977,5,10,A -2766,R200 ,R210 ,10885.51,0.63,50670,9,10,A -2767,R200 ,R211 ,29795.47,1.74,81382,9,10,A -2768,R200 ,R212 ,12421.06,0.72,54031,9,10,A -2770,R300 ,R370 ,17177.56,1,86658,3,10,A -2771,R200 ,R237 ,15844.28,0.92,85407,9,10,A -2772,R200 ,R212 ,16456.86,0.96,81415,9,10,A -2774,R200 ,R204 ,13732.93,0.8,45825,9,10,A -2775,R200 ,R204 ,12790.63,0.75,58067,9,10,A -2776,R200 ,R204 ,11541.7,0.67,57332,9,10,A -2779,R200 ,R260 ,18343.08,1.07,86115,10,10,A -2780,R100 ,R110 ,19400.44,1.13,86169,5,10,A -2781,R100 ,R116 ,19231.18,1.12,89292,5,10,A -2784,R300 ,R372 ,9476.47,0.55,86519,4,10,A -2785,R300 ,R371 ,17529.66,1.02,86089,4,10,A -2786,R200 ,R265 ,7278.99,0.42,47568,10,10,A -2787,R400 ,R454 ,18302.68,1.07,87777,3,10,A -2790,R400 ,R441 ,27809.78,1.62,86814,3,10,A -2791,R200 ,R258 ,6161.97,0.36,40431,10,10,A -2795,R200 ,R245 ,9597.21,0.56,53312,9,10,A -2796,R300 ,R340 ,16983.81,0.99,87476,4,10,A -2799,R100 ,R116 ,17566.06,1.02,57790,5,10,A -2802,R200 ,R231 ,14610.41,0.85,78679,9,10,A -2803,R300 ,R327 ,10634.74,0.62,86126,6,10,A -2804,R200 ,R212 ,23877.14,1.39,86680,9,10,A -2805,R400 ,R438 ,13600.31,0.79,86209,2,10,A -2810,R200 ,R209 ,22919.47,1.34,87264,9,10,A -2811,R400 ,R459 ,16398.04,0.96,88436,2,10,A -2813,R300 ,R378 ,18224.95,1.06,87120,6,10,A -2815,R300 ,R351 ,11193.33,0.65,86144,4,10,A -2816,R300 ,R369 ,12425.87,0.72,83199,4,10,A -2818,R100 ,R136 ,16262.92,0.95,86314,5,10,A -2820,R100 ,R175 ,16508.87,0.96,85821,8,10,A -2822,R400 ,R429 ,19541.01,1.14,77450,1,10,A -2824,R100 ,R147 ,15836.67,0.92,85871,5,10,A -2829,R200 ,R211 ,16595.32,0.97,83206,9,10,A -2830,R200 ,R233 ,16857.37,0.98,86011,9,10,A -2831,R200 ,R206 ,13699.62,0.8,82986,9,10,A -2840,R400 ,R455 ,20786.26,1.21,84895,2,10,A -2843,R300 ,R349 ,17118.33,1,85989,4,10,A -2844,R400 ,R455 ,15425.05,0.9,83289,2,10,A -2845,R400 ,R411 ,17259.75,1.01,83326,3,10,A -2847,R400 ,R424 ,19538.61,1.14,86329,2,10,A -2848,R300 ,R349 ,13042.3,0.76,87087,4,10,A -2850,R400 ,R423 ,14194.74,0.83,49455,2,10,A -2851,R100 ,R173 ,14938.5,0.87,85416,5,10,A -2853,R400 ,R450 ,13751.56,0.8,86202,2,10,A -2855,R200 ,R231 ,23567.67,1.37,87616,9,10,A -2857,R100 ,R161 ,18571.01,1.08,85375,10,10,A -2860,R100 ,R112 ,14876.32,0.87,79532,5,10,A -2865,R300 ,R304 ,11109.83,0.65,82010,6,10,A -2867,R400 ,R453 ,12625.36,0.74,80000,3,10,A -2868,R300 ,R311 ,8076.43,0.47,81752,6,10,A -2870,R200 ,R257 ,31340,1.83,0,9,10,A -2871,R200 ,R261 ,11190.52,0.65,50000,9,10,A -3200,R100 ,R126 ,2018.34,0.12,12067,5,10,A -3201,R200 ,R210 ,1221.53,0.07,8137,9,10,A -3202,R200 ,R211 ,787.98,0.05,4762,9,10,A -3203,R200 ,R212 ,1577.67,0.09,9712,9,10,A -3204,R100 ,R163 ,1204.56,0.07,7819,5,10,A -3205,R200 ,R201 ,1622.35,0.09,9555,9,10,A -3206,R400 ,R462 ,2106.23,0.12,11683,3,10,A -3207,R100 ,R116 ,1450.92,0.08,12189,5,10,A -3208,R100 ,R116 ,1691.28,0.1,129000,5,10,A -3210,R400 ,R412 ,2075.48,0.12,11362,3,10,A -3211,R400 ,R412 ,1689.44,0.1,7450,3,10,A -3212,R400 ,R462 ,1521.78,0.09,10594,3,10,A -3214,R100 ,R116 ,1771.57,0.1,12560,5,10,A -3216,R200 ,R204 ,1279.47,0.07,11017,9,10,A -3217,R200 ,R204 ,2606.84,0.15,13776,9,10,A -3218,R200 ,R219 ,2980.91,0.17,18948,9,10,A -3219,R100 ,R145 ,1809.48,0.11,11937,5,10,A -3221,R100 ,R116 ,1781.38,0.1,15806,5,10,A -3222,R400 ,R429 ,1653.52,0.1,10403,1,10,A -3223,R400 ,R429 ,1383.63,0.08,9955,1,10,A -3224,R200 ,R233 ,2200.74,0.13,13280,9,10,A -3225,R200 ,R207 ,2690.44,0.16,21625,9,10,A -3226,R400 ,R429 ,1262.9,0.07,8196,1,10,A -3227,R400 ,R462 ,2603.03,0.15,18900,3,10,A -3229,R400 ,R423 ,2800.6,0.16,24167,2,10,A -3230,R400 ,R469 ,1471.29,0.09,10521,2,10,A -3233,R200 ,R202 ,1766.29,0.1,9700,9,10,A -3234,R400 ,R430 ,2123.94,0.12,13923,3,10,A -3235,R400 ,R451 ,4530.29,0.26,29059,2,10,A -3236,R400 ,R455 ,3341.1,0.19,29809,2,10,A -3237,R400 ,R469 ,1859.54,0.11,15806,2,10,A -3238,R300 ,R324 ,1680.59,0.1,11545,4,10,A -3239,R100 ,R101 ,1831.61,0.11,11100,5,10,A -3240,R200 ,R212 ,2975.19,0.17,31988,9,10,A -3241,R300 ,R372 ,1797.86,0.1,7500,4,10,A -3242,R400 ,R448 ,3059.54,0.18,18745,3,10,A -3243,R400 ,R423 ,2207.15,0.13,21600,2,10,A -3244,R100 ,R169 ,2485.25,0.14,16500,5,10,A -3247,R400 ,R421 ,5296.14,0.31,32664,3,10,A -3249,R400 ,R423 ,1605.65,0.09,14249,2,10,A -3250,R300 ,R322 ,903.51,0.05,11000,6,10,A -3251,R200 ,R236 ,2025.36,0.12,14200,9,10,A -3252,R100 ,R141 ,1802.91,0.11,20300,5,10,A -3253,R400 ,R452 ,3975.59,0.23,31000,1,10,A -3254,R100 ,R172 ,1945.21,0.11,9128,5,10,A -3255,R300 ,R372 ,1356.87,0.08,11300,4,10,A -3258,R200 ,R222 ,4202.41,0.25,25046,9,10,A -3259,R400 ,R455 ,4858.49,0.28,31369,2,10,A -3261,R300 ,R375 ,4091.49,0.24,31050,9,10,A -3262,R200 ,R236 ,3376.77,0.2,20225,9,10,A -3263,R400 ,R462 ,2252.46,0.13,20262,3,10,A -3264,R200 ,R210 ,2131.68,0.12,17000,9,10,A -3265,R200 ,R210 ,3463.55,0.2,29965,9,10,A -3267,R200 ,R211 ,1207.94,0.07,13000,9,10,A -3270,R100 ,R141 ,1616.55,0.09,12400,5,10,A -3273,R300 ,R348 ,2686.86,0.16,19200,4,10,A -3274,R200 ,R244 ,3067.18,0.18,25700,9,10,A -3276,R400 ,R423 ,1044.2,0.06,12400,2,10,A -3277,R400 ,R423 ,2645.38,0.15,22496,2,10,A -3279,R100 ,R175 ,1627.21,0.09,12100,8,10,A -3281,R200 ,R258 ,1604.14,0.09,17230,10,10,A -3283,R100 ,R141 ,1513.74,0.09,16700,5,10,A -3284,R400 ,R423 ,1161.45,0.07,11300,2,10,A -3285,R400 ,R462 ,2880.72,0.17,36700,3,10,A -3287,R400 ,R452 ,1718.72,0.1,19800,1,10,A -3290,R400 ,R446 ,4845.36,0.28,43415,2,10,A -3292,R300 ,R352 ,1573.85,0.09,32600,6,10,A -3293,R200 ,R236 ,3814.79,0.22,31536,9,10,A -3295,R400 ,R412 ,1857.09,0.11,0,3,10,A -3296,R400 ,R422 ,4049.03,0.24,33425,2,10,A -3304,R400 ,R429 ,1836.82,0.11,29738,1,10,A -3305,R400 ,R470 ,3247.8,0.19,14200,1,10,A -3306,R400 ,R447 ,3985.04,0.23,31800,1,10,A -3307,R100 ,R116 ,1214.94,0.07,6300,5,10,A -3310,R400 ,R421 ,3038.08,0.18,39623,3,10,A -3315,R200 ,R261 ,2407.47,0.14,16400,9,10,A -3316,R100 ,R178 ,2398.48,0.14,18196,8,10,A -3318,R400 ,R424 ,2678.01,0.16,35000,2,10,A diff --git a/data/input/test_glmnet_ts.csv b/data/input/test_glmnet_ts.csv deleted file mode 100644 index b6c121b..0000000 --- a/data/input/test_glmnet_ts.csv +++ /dev/null @@ -1,105 +0,0 @@ -week,y,x1,x2 -1,14,2,18 -2,12,2,15 -3,14,1,13 -4,11,1,13 -5,15,1,16 -6,17,1,17 -7,16,3,20 -8,124.50,2,1.8 -9,221.10,2,1.5 -10,307.34,2,1.1 -11,384.56,1,1.9 -12,457.30,3,1.4 -13,520.72,2,1.3 -14,578.60,2,1.7 -15,638.64,1,1.3 -16,705.73,2,1.9 -17,776.10,3,1.6 -18,845.89,3,1.1 -19,913.73,1,1.8 -20,983.38,3,1.1 -21,1051.00,2,1.6 -22,1120.12,3,1.7 -23,1185.28,2,1 -24,1254.56,3,1.6 -25,1319.29,1,1.4 -26,1384.44,1,1.4 -27,1451.18,2,1.1 -28,1519.01,2,1.5 -29,1588.22,3,1.2 -30,1657.03,2,2 -31,1722.13,1,1.3 -32,1788.45,2,1 -33,1854.50,1,1.7 -34,1921.87,2,1.4 -35,1987.28,1,1.4 -36,2055.32,2,1.5 -37,2122.60,1,2 -38,2189.50,2,1.1 -39,2259.99,3,1.8 -40,2330.64,3,2 -41,2398.12,2,1.7 -42,2463.98,1,1.9 -43,2529.97,2,1.1 -44,2594.08,1,1.1 -45,2664.22,3,1.8 -46,2731.90,2,1.6 -47,2796.72,1,1.1 -48,2866.71,3,1.5 -49,2935.89,3,1.3 -50,3001.75,1,1.7 -51,3065.93,1,1.1 -52,3135.36,3,1.4 -53,3206.21,3,2 -54,3274.61,3,1.3 -55,3343.67,3,1.5 -56,3413.00,3,1.6 -57,3480.57,2,1.8 -58,3545.81,1,1.8 -59,3609.96,1,1.2 -60,3676.19,2,1 -61,3740.98,1,1.1 -62,3810.10,2,1.9 -63,3880.99,3,1.8 -64,3948.05,1,2 -65,4015.67,2,1.5 -66,4086.20,3,2 -67,4150.30,1,1.2 -68,4214.07,1,1 -69,4280.27,1,1.8 -70,4349.79,3,1.3 -71,4417.47,2,1.5 -72,4483.99,1,1.8 -73,4550.31,1,1.6 -74,4619.66,3,1.3 -75,4687.95,2,1.9 -76,4752.53,1,1.3 -77,4817.71,1,1.3 -78,4883.78,1,1.6 -79,4954.26,3,1.7 -80,5020.31,1,1.7 -81,5090.70,3,1.7 -82,5159.77,3,1.3 -83,5223.75,1,1 -84,5288.34,1,1.2 -85,5353.99,1,1.6 -86,5420.11,1,1.6 -87,5485.58,1,1.3 -88,5555.95,3,1.5 -89,5624.03,2,1.4 -90,5690.95,1,1.9 -91,5757.89,1,2 -92,5822.70,1,1.2 -93,5889.04,2,1 -94,5959.29,3,1.8 -95,6026.81,2,1.5 -96,6096.23,3,1.4 -97,6165.15,3,1.3 -98,6232.78,2,1.7 -99,6297.62,1,1.5 -100,6366.96,3,1.6 -101,6436.54,3,1.7 -102,6506.77,3,2 -103,6576.67,3,1.9 -104,6644.12,3,1 diff --git a/data/input/test_glmnet_ts1.csv b/data/input/test_glmnet_ts1.csv deleted file mode 100644 index e9079fa..0000000 --- a/data/input/test_glmnet_ts1.csv +++ /dev/null @@ -1,105 +0,0 @@ -week,y,x1,x2 -1,3.8,2,2 -2,6.11,2,1.5 -3,6.98,1,1.6 -4,8.59,1,1.9 -5,9.99,1,1.7 -6,11.44,1,2.1 -7,14.02,3,1.4 -8,15.41,2,1.8 -9,16.63,2,1.5 -10,17.79,2,1.1 -11,18.49,1,1.9 -12,20.57,3,1.4 -13,21.31,2,1.3 -14,22.26,2,1.7 -15,22.35,1,1.3 -16,23.65,2,1.9 -17,25.41,3,1.6 -18,26.41,3,1.1 -19,26.12,1,1.8 -20,27.41,3,1.1 -21,27.97,2,1.6 -22,29.15,3,1.7 -23,29.19,2,1 -24,30.33,3,1.6 -25,29.76,1,1.4 -26,29.37,1,1.4 -27,29.97,2,1.1 -28,30.38,2,1.5 -29,31.24,3,1.2 -30,31.66,2,2 -31,30.89,1,1.3 -32,31.17,2,1 -33,31,1,1.7 -34,31.28,2,1.4 -35,30.83,1,1.4 -36,31.33,2,1.5 -37,31.19,1,2 -38,31.25,2,1.1 -39,32.54,3,1.8 -40,33.52,3,2 -41,33.26,2,1.7 -42,32.74,1,1.9 -43,32.87,2,1.1 -44,32.11,1,1.1 -45,33.43,3,1.8 -46,33.47,2,1.6 -47,32.3,1,1.1 -48,33.55,3,1.5 -49,34.33,3,1.3 -50,33.34,1,1.7 -51,32.5,1,1.1 -52,33.81,3,1.4 -53,34.84,3,2 -54,35.14,3,1.3 -55,35.71,3,1.5 -56,36.26,3,1.6 -57,36.11,2,1.8 -58,35.32,1,1.8 -59,34.48,1,1.2 -60,34.66,2,1 -61,33.77,1,1.1 -62,34.29,2,1.9 -63,35.33,3,1.8 -64,34.39,1,2 -65,34.38,2,1.5 -66,35.63,3,2 -67,34.42,1,1.2 -68,33.37,1,1 -69,33.28,1,1.8 -70,34.33,3,1.3 -71,34.26,2,1.5 -72,33.54,1,1.8 -73,33.14,1,1.6 -74,34.2,3,1.3 -75,34.4,2,1.9 -76,33.36,1,1.3 -77,32.84,1,1.3 -78,32.57,1,1.6 -79,33.92,3,1.7 -80,33.16,1,1.7 -81,34.08,3,1.7 -82,34.89,3,1.3 -83,33.45,1,1 -84,32.83,1,1.2 -85,32.76,1,1.6 -86,32.42,1,1.6 -87,31.91,1,1.3 -88,33.14,3,1.5 -89,33.08,2,1.4 -90,32.49,1,1.9 -91,32.37,1,2 -92,31.88,1,1.2 -93,32.11,2,1 -94,33.35,3,1.8 -95,33.17,2,1.5 -96,33.84,3,1.4 -97,34.51,3,1.3 -98,34.34,2,1.7 -99,33.56,1,1.5 -100,34.79,3,1.6 -101,35.67,3,1.7 -102,36.28,3,2 -103,36.91,3,1.9 -104,36.97,3,1 diff --git a/data/input/test_lag_var.csv b/data/input/test_lag_var.csv deleted file mode 100644 index 7a374be..0000000 --- a/data/input/test_lag_var.csv +++ /dev/null @@ -1,13 +0,0 @@ -week,y,lag_6,lag_4,lag_3,lag_2,lag_1,x1,x2 -1,14,,,,,,2,18 -2,12,,,,,14,2,15 -3,14,,,,14,12,1,13 -4,11,,,14,12,14,1,13 -5,15,,14,12,14,11,1,16 -6,17,,12,14,11,15,1,17 -7,16,14,14,11,15,17,3,20 -8,14,12,11,15,17,16,2,18 -9,19,14,15,17,16,14,2,15 -10,19,11,17,16,14,19,2,11 -11,21,15,16,14,19,19,1,19 -12,15,17,14,19,19,21,3,14 diff --git a/data/input/test_timeseries.csv b/data/input/test_timeseries.csv deleted file mode 100644 index 8d3f020..0000000 --- a/data/input/test_timeseries.csv +++ /dev/null @@ -1,105 +0,0 @@ -week,y,x1,x2 -1,14,2,18 -2,12,2,15 -3,14,1,13 -4,11,1,13 -5,15,1,16 -6,17,1,17 -7,16,3,20 -8,14,2,18 -9,19,2,15 -10,19,2,11 -11,21,1,19 -12,15,3,14 -13,21,2,13 -14,22,2,17 -15,25,1,13 -16,19,2,19 -17,23,3,16 -18,27,3,11 -19,31,1,18 -20,21,3,11 -21,25,2,16 -22,30,3,17 -23,36,2,10 -24,23,3,16 -25,31,1,14 -26,32,1,14 -27,39,2,11 -28,27,2,15 -29,33,3,12 -30,34,2,20 -31,41,1,13 -32,30,2,10 -33,36,1,17 -34,39,2,14 -35,44,1,14 -36,34,2,15 -37,41,1,20 -38,41,2,11 -39,50,3,18 -40,40,3,20 -41,46,2,17 -42,48,1,19 -43,56,2,11 -44,45,1,11 -45,51,3,18 -46,52,2,16 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-mllib/lib/cluster.py 103 0 100% -mllib/lib/glmnet_ts.py 113 1 99% 88 -mllib/lib/model.py 44 0 100% ------------------------------------------------------- -TOTAL 274 1 99% +Name Stmts Miss Cover Missing +----------------------------------------------------------------------------------------- +/media/ph33r/Data/Project/mllib/Git/mllib/__init__.py 7 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/__init__.py 7 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/cluster.py 103 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/model.py 44 0 100% +----------------------------------------------------------------------------------------- +TOTAL 161 0 100% diff --git a/mllib/lib/glmnet_ts.py b/mllib/lib/glmnet_ts.py deleted file mode 100644 index 9a1ddd3..0000000 --- a/mllib/lib/glmnet_ts.py +++ /dev/null @@ -1,302 +0,0 @@ -""" -Module for commonly used machine learning modelling algorithms. - -**Available routines:** - -- udf ``create_lag_vars``: Create lag variables for time series data. -- class ``GLMNet``: Builds GLMnet model using cross validation. - -Credits -------- -:: - - Authors: - - Madhu - - Diptesh - - Date: Sep 16, 2021 -""" - -# pylint: disable=invalid-name -# pylint: disable=R0902,R0903,R0913,R0914,C0413 - -from typing import List, Dict - -import re -import sys -from inspect import getsourcefile -from os.path import abspath - -import pandas as pd -import numpy as np - -from sklearn.linear_model import ElasticNetCV -from sklearn.model_selection import TimeSeriesSplit as ts_split - -path = abspath(getsourcefile(lambda: 0)) -path = re.sub(r"(.+\/)(.+.py)", "\\1", path) -sys.path.insert(0, path) - -import metrics # noqa: F841 - -# ============================================================================= -# --- DO NOT CHANGE ANYTHING FROM HERE -# ============================================================================= - - -def create_lag_vars(df: pd.DataFrame, - y_var: List[str], - x_var: List[str], - lst_lag: List[int] = None, - n_interval: str = None) -> pd.DataFrame: - """Create lag variables for time series data. - - Parameters - ---------- - df : pd.DataFrame - - Pandas dataframe containing `y_var`, `x_var` and `n_interval` - (if provided). - - y_var : List[str] - - Dependant variable. - - x_var : List[str] - - Independant variables. - - lst_lag : List[int] - - Lag variables list (the default is None) - - n_interval : str, optional - - Column name of the time interval variable (the default is None). - - Returns - ------- - pd.DataFrame - - Pandas dataframe containing `y_var`, lag variables (`lag_xx`) and - `x_var`. - - """ - if n_interval is None: - df = df.reset_index(drop=True) - elif len(df) != (df[n_interval].max() - df[n_interval].min() + 1): - sys.exit("Missing/duplicate time instance found in input data") - else: - df = df.sort_values(by=n_interval) - df = df.reset_index(drop=True) - y_lag = df[y_var].copy(deep=True) - time_int = len(y_lag) - if lst_lag is None: - lst_lag = [] - while time_int > 8: - time_int = int(np.floor(time_int/2)) - lst_lag.extend([time_int]) - lst_lag.extend([4, 3, 2, 1]) - for lag in lst_lag: - y_lag.loc[:, "lag_" + str(lag)] = y_lag["y"].shift(lag) - y_lag = y_lag.join(df[x_var]) - if n_interval: - y_lag = y_lag.join(df[n_interval]) - y_lag = y_lag.set_index(n_interval) - op = y_lag.dropna().reset_index(drop=True) - return lst_lag, op - - -class GLMNet_ts(): - """GLMNet time series module. - - Objective: - - Build - `GLMNet `_ - model using optimal alpha and lambda - - Parameters - ---------- - df : pd.DataFrame - - Pandas dataframe containing `y_var` and `x_var` variables. - - y_var : List[str] - - Dependant variable. - - x_var : List[str] - - Independant variables. - - lst_lag : List[int] - - Lag variables list (the default is None) - - n_interval : str, optional - - Column name of the time interval variable (the default is None). - - - param : Dict, optional - - GLMNet parameters (the default is None). - In case of None, the parameters will default to:: - - seed: 1 - a_inc: 0.05 - test_perc: 0.25 - n_jobs: -1 - k_fold: 10 - - """ - - def __init__(self, - df: pd.DataFrame, - y_var: List[str], - x_var: List[str], - lst_lag: List[int] = None, - n_interval: str = None, - param: Dict = None): - """Initialize variables for module ``GLMNet``.""" - if n_interval is None: - self.df = df[y_var + x_var] - else: - self.df = df[y_var + x_var + [n_interval]] - self.y_var = y_var - self.x_var = x_var - self.lst_lag = lst_lag - self.n_interval = n_interval - self.model_summary = None - self.max_epoch = None - if param is None: - param = {"seed": 1, - "a_inc": 0.05, - "test_perc": 0.25, - "n_jobs": -1, - "k_fold": 10} - self.param = param - self.param["l1_range"] = list(np.round(np.arange(self.param["a_inc"], - 1.01, - self.param["a_inc"]), - 2)) - self._fit() - self._compute_metrics() - - def _fit(self) -> None: - """Fit the best GLMNet time series model.""" - if self.n_interval is None: - self.max_epoch = len(self.df) - 1 - else: - self.max_epoch = self.df[self.n_interval].max() - self.lag_var, df_ip = create_lag_vars(self.df, - self.y_var, - self.x_var, - self.lst_lag, - self.n_interval) - x_var = list(df_ip.columns) - x_var.remove(self.y_var[0]) - df_train = df_ip.iloc[0:int(len(df_ip) * (1-self.param["test_perc"]))] - df_test = df_ip.iloc[int(len(df_ip) * (1-self.param["test_perc"])):] - train_x = df_train[x_var] - train_y = df_train[self.y_var] - test_x = df_test[x_var] - test_y = df_test[self.y_var] - self.param["k_fold"] = ts_split(n_splits=self.param["k_fold"]) - self.param["k_fold"] = self.param["k_fold"].split(X=train_y) - mod = ElasticNetCV(l1_ratio=self.param["l1_range"], - fit_intercept=True, - alphas=[1e-5, 1e-4, 1e-3, 1e-2, 1e-1, - 1.0, 10.0, 100.0], - normalize=False, - cv=self.param["k_fold"], - n_jobs=self.param["n_jobs"], - random_state=self.param["seed"]) - mod.fit(train_x, train_y.values.ravel()) - opt = {"alpha": mod.l1_ratio_, - "lambda": mod.alpha_, - "intercept": mod.intercept_, - "coef": mod.coef_, - "train_v": mod.score(train_x, train_y), - "test_v": mod.score(test_x, test_y)} - self.model = mod - self.opt = opt - - def _compute_metrics(self): - """Compute commonly used metrics to evaluate the model.""" - y = self.df[self.y_var].iloc[max(self.lst_lag): - len(self.df), 0].values.tolist() - if self.n_interval is None: - y_hat = list(self.predict(self.df[self.x_var][max(self.lst_lag): - len(self.df)])["y"] - .values) - else: - y_hat = list(self.predict(self.df[self.x_var - + [self.n_interval]] - [max(self.lst_lag):len(self.df)])["y"] - .values) - model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), - "mae": np.round(metrics.mae(y, y_hat), 3), - "mape": np.round(metrics.mape(y, y_hat), 3), - "rmse": np.round(metrics.rmse(y, y_hat), 3)} - model_summary["mse"] = np.round(model_summary["rmse"] ** 2, 3) - self.model_summary = model_summary - - def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: - """Predict y_var/target variable. - - Parameters - ---------- - df_predict : pd.DataFrame - - Pandas dataframe containing `x_var`, 'n_interval' (optional) - - Returns - ------- - pd.DataFrame - - Pandas dataframe containing predicted `y_var` and `x_var`. - - """ - if self.n_interval is None: - df_predict = df_predict[self.x_var] - else: - df_predict = df_predict[self.x_var + [self.n_interval]] - if self.n_interval is None: - df_ip = self.df - df_predict = df_predict.reset_index(drop=True) - df_predict = \ - df_predict.set_index(df_predict.index+self.max_epoch+1) - elif len(df_predict) != (df_predict[self.n_interval].max() - - df_predict[self.n_interval].min() + 1)\ - or df_predict[self.n_interval].min()\ - > self.max_epoch + 1: - sys.exit("Missing time instance found in input data") - else: - df_ip = self.df[self.df[self.n_interval] - <= df_predict[self.n_interval].min()] - df_predict = df_predict.sort_values(by=self.n_interval) - df_predict = df_predict.set_index(self.n_interval) - df_predict = df_predict[self.x_var] - df_predict["y"] = -1 - for i in range(0, len(df_predict)): - df_pred = pd.DataFrame(df_predict.iloc[i]) - df_pred = df_pred.T - period_val = df_pred.index - df_pred = df_pred[self.x_var].reset_index(drop=True) - df_pred_x = pd.DataFrame( - {"lag_" + str(self.lst_lag[0]): - df_ip.iloc[len(df_ip) - self.lst_lag[0]][self.y_var]}) - for j in range(1, len(self.lst_lag)): - df_tmp = pd.DataFrame( - {"lag_"+str(self.lst_lag[j]): - df_ip.iloc[len(df_ip)-self.lst_lag[j]][self.y_var]}) - df_pred_x = df_pred_x.join(df_tmp) - df_pred_x = df_pred_x.reset_index(drop=True) - df_pred_x = df_pred_x.join(df_pred) - y_hat = self.model.predict(df_pred_x) - df_tmp = pd.DataFrame() - df_tmp['y'] = y_hat - df_ip = df_ip.append(df_tmp).reset_index(drop=True) - df_predict.loc[period_val, "y"] = y_hat - return df_predict diff --git a/requirements.txt b/requirements.txt index 25c2389..ef333fe 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,5 +1,4 @@ -pytest==5.3.5 -Cython==0.29.15 numpy==1.19.5 pandas==1.1.3 +Cython==0.29.15 scikit_learn==1.0 diff --git a/tests/test_glmnet_ts.py b/tests/test_glmnet_ts.py deleted file mode 100644 index d09e0c3..0000000 --- a/tests/test_glmnet_ts.py +++ /dev/null @@ -1,203 +0,0 @@ -""" -Test suite module for ``glmnet_ts``. - -Credits -------- -:: - - Authors: - - Madhu - - Diptesh - - Date: Sep 24, 2021 -""" - -# pylint: disable=invalid-name -# pylint: disable=wrong-import-position - -import unittest -import warnings -import re -import sys - -from inspect import getsourcefile -from os.path import abspath - -import pandas as pd -import numpy as np -import pytest - -# Set base path -path = abspath(getsourcefile(lambda: 0)) -path = re.sub(r"(.+)(\/tests.*)", "\\1", path) - -sys.path.insert(0, path) - -from mllib.lib.glmnet_ts import create_lag_vars # noqa: F841 -from mllib.lib.glmnet_ts import GLMNet_ts # noqa: F841 - -# ============================================================================= -# --- DO NOT CHANGE ANYTHING FROM HERE -# ============================================================================= - -path = path + "/data/input/" - -# ============================================================================= -# --- User defined functions -# ============================================================================= - - -def ignore_warnings(test_func): - """Suppress deprecation warnings.""" - - def do_test(self, *args, **kwargs): - with warnings.catch_warnings(): - warnings.simplefilter("ignore") - test_func(self, *args, **kwargs) - return do_test - - -class TestCreateLagVars(unittest.TestCase): - """Test suite for UDF ``create_lag_vars``.""" - - def setUp(self): - """Set up for UDF ``create_lag_vars``.""" - - def test_no_interval_specified(self): - """Lag vars: Test when no interval is specified.""" - df_ip = pd.read_csv(path + "test_lag_var.csv") - lst_lag, df_op = create_lag_vars(df=df_ip, - y_var=["y"], - x_var=["x1", "x2"]) - exp_op = df_ip[list(df_ip.columns[1:])].dropna().reset_index(drop=True) - self.assertEqual(df_op.equals(exp_op), True) - self.assertEqual([6, 4, 3, 2, 1], lst_lag) - - def test_interval_specified(self): - """Lag vars: Test when interval is specified.""" - df_ip = pd.read_csv(path + "test_lag_var.csv") - lst_lag, df_op = create_lag_vars(df=df_ip, - y_var=["y"], - x_var=["x1", "x2"], - n_interval="week") - exp_op = df_ip[list(df_ip.columns[1:])].dropna().reset_index(drop=True) - self.assertEqual(df_op.equals(exp_op), True) - self.assertEqual([6, 4, 3, 2, 1], lst_lag) - - def test_lag_vars_specified(self): - """Lag vars: Test when lags are specified.""" - df_ip = pd.read_csv(path + "test_lag_var.csv") - lst_lag, df_op = create_lag_vars(df=df_ip, - y_var=["y"], - x_var=["x1", "x2"], - lst_lag=[3, 2, 1]) - exp_op = df_ip.iloc[:, [1, 4, 5, 6, 7, 8]]\ - .dropna().reset_index(drop=True) - self.assertEqual(df_op.equals(exp_op), True) - self.assertEqual([3, 2, 1], lst_lag) - - -class TestGLMNet_ts(unittest.TestCase): - """Test suite for module ``GLMNet_ts``.""" - - def setUp(self): - """Set up for module ``GLMNet_ts``.""" - - def test_known_equation(self): - """GLMNet_ts: Test a known equation with/without n_interval.""" - df_ip = pd.read_csv(path + "test_glmnet_ts1.csv") - df_train_ip = df_ip.iloc[0:len(df_ip)] - mod = GLMNet_ts(df=df_train_ip, - y_var=["y"], - x_var=["x1", "x2"], - lst_lag=[3, 1]) - op = mod.opt - self.assertTrue(0.5 <= np.round(op.get('intercept'), 0) <= 1.5) - self.assertTrue(0.15 <= np.round(op.get('coef')[0], 2) <= 0.25) - self.assertTrue(0.65 <= np.round(op.get('coef')[1], 2) <= 0.75) - self.assertTrue(0.75 <= np.round(op.get('coef')[2], 2) <= 0.85) - self.assertTrue(0.45 <= np.round(op.get('coef')[3], 2) <= 0.55) - mod = GLMNet_ts(df=df_train_ip, - y_var=["y"], - x_var=["x1", "x2"], - lst_lag=[3, 1], - n_interval="week") - op = mod.opt - self.assertTrue(0.5 <= np.round(op.get('intercept'), 0) <= 1.5) - self.assertTrue(0.15 <= np.round(op.get('coef')[0], 2) <= 0.25) - self.assertTrue(0.65 <= np.round(op.get('coef')[1], 2) <= 0.75) - self.assertTrue(0.75 <= np.round(op.get('coef')[2], 2) <= 0.85) - self.assertTrue(0.45 <= np.round(op.get('coef')[3], 2) <= 0.55) - - def test_predict_target_variable(self): - """GLMNet_ts: Test predictor with/without n_interval.""" - df_ip = pd.read_csv(path + "test_glmnet_ts1.csv") - # without n_interval - df_train_ip = df_ip.iloc[0:95] - mod = GLMNet_ts(df=df_train_ip, - y_var=["y"], - x_var=["x1", "x2"], - lst_lag=[3, 1]) - op = mod.opt - df_predict = df_ip.iloc[95:len(df_ip)] - y_pred = mod.predict(df_predict) - y_pred = np.round(np.array(y_pred["y"]), 1) - df_exp = df_ip.copy(deep=True) - df_exp['lag_3'] = df_exp["y"].shift(3) - df_exp['lag_1'] = df_exp["y"].shift(1) - df_exp = df_exp[["lag_3", "lag_1", "x1", "x2"]] - df_exp = df_exp.iloc[95:len(df_ip)] - df_exp["y"] = op.get('intercept')\ - + op.get('coef')[0] * df_exp["lag_3"]\ - + op.get('coef')[1] * df_exp["lag_1"]\ - + op.get('coef')[2] * df_exp["x1"]\ - + op.get('coef')[3] * df_exp["x2"] - y_exp = np.round(np.array(df_exp["y"]), 1) - for i, j in zip(y_pred, y_exp): - self.assertTrue(j - 0.1 <= i <= j + 0.1) - # with n_interval - mod = GLMNet_ts(df=df_train_ip, - y_var=["y"], - x_var=["x1", "x2"], - lst_lag=[3, 1], - n_interval="week") - op = mod.opt - df_predict = df_ip.iloc[95:len(df_ip)] - y_pred = mod.predict(df_predict) - y_pred = np.round(np.array(y_pred["y"]), 1) - df_exp = df_ip.copy(deep=True) - df_exp['lag_3'] = df_exp["y"].shift(3) - df_exp['lag_1'] = df_exp["y"].shift(1) - df_exp = df_exp[["lag_3", "lag_1", "x1", "x2"]] - df_exp = df_exp.iloc[95:len(df_ip)] - df_exp["y"] = op.get('intercept')\ - + op.get('coef')[0] * df_exp["lag_3"]\ - + op.get('coef')[1] * df_exp["lag_1"]\ - + op.get('coef')[2] * df_exp["x1"]\ - + op.get('coef')[3] * df_exp["x2"] - y_exp = np.round(np.array(df_exp["y"]), 1) - for i, j in zip(y_pred, y_exp): - self.assertTrue(j - 0.1 <= i <= j + 0.1) - - @staticmethod - def test_for_exit(): - """GLMNet_ts: Test for missing time instance.""" - df_ip = pd.read_csv(path + "test_glmnet_ts1.csv") - # without n_interval - df_train_ip = df_ip.iloc[0:95] - mod = GLMNet_ts(df=df_train_ip, - y_var=["y"], - x_var=["x1", "x2"], - lst_lag=[3, 1], - n_interval="week") - df_predict = df_ip.iloc[96:len(df_ip)] - with pytest.raises(SystemExit): - df_predict = mod.predict(df_predict) - - -# ============================================================================= -# --- Main -# ============================================================================= - -if __name__ == '__main__': - unittest.main() From f77e4a62917e8dd82ae0491e5c4d881ca678bb13 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sat, 25 Sep 2021 18:17:34 +0530 Subject: [PATCH 044/116] v0.4.0 changelog: - added examples for Cluster and GLMNet modules --- logs/cov.out | 4 ++-- logs/pylint/lib-model-py.out | 8 ++++---- mllib/lib/cluster.py | 19 +++++++++++++++++++ mllib/lib/model.py | 28 +++++++++++++++++++++++++++- requirements.txt | 2 +- 5 files changed, 53 insertions(+), 8 deletions(-) diff --git a/logs/cov.out b/logs/cov.out index 8f29759..5c6e44d 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -3,6 +3,6 @@ Name Stmts Miss Cover /media/ph33r/Data/Project/mllib/Git/mllib/__init__.py 7 0 100% /media/ph33r/Data/Project/mllib/Git/mllib/lib/__init__.py 7 0 100% /media/ph33r/Data/Project/mllib/Git/mllib/lib/cluster.py 103 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/model.py 44 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/model.py 45 0 100% ----------------------------------------------------------------------------------------- -TOTAL 161 0 100% +TOTAL 162 0 100% diff --git a/logs/pylint/lib-model-py.out b/logs/pylint/lib-model-py.out index 8d71b59..acd91c5 100644 --- a/logs/pylint/lib-model-py.out +++ b/logs/pylint/lib-model-py.out @@ -1,8 +1,8 @@ ************* Module mllib.lib.model -model.py:140:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -model.py:141:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -model.py:142:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -model.py:143:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:166:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:167:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:168:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:169:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/mllib/lib/cluster.py b/mllib/lib/cluster.py index b0e9d14..59830a8 100644 --- a/mllib/lib/cluster.py +++ b/mllib/lib/cluster.py @@ -65,6 +65,25 @@ class Cluster(): Stopping criterion: `one_se` or `gap_max` (the default is "one_se"). + Returns + ------- + optimal_k : int + + Optimal number of clusters. + + df_summary : pandas.DataFrame + + DataFrame containing Gap statistic and standard error for all clusters. + + Methods + ------- + opt_k + + Example + ------- + >>> clus_sol = Cluster(df=df_ip, x_var=["x1"], max_cluster=6, nrefs=5) + >>> clus_op = clus_sol.opt_k() + Notes ----- Points to be noted for `method`: diff --git a/mllib/lib/model.py b/mllib/lib/model.py index a93c36d..a90ebcf 100644 --- a/mllib/lib/model.py +++ b/mllib/lib/model.py @@ -16,7 +16,7 @@ """ # pylint: disable=invalid-name -# pylint: disable=R0902,R0903,R0913,R0914,C0413 +# pylint: disable=R0902,R0903,R0913,C0413 from typing import List, Dict @@ -79,6 +79,31 @@ class GLMNet(): n_jobs: -1 k_fold: 10 + Returns + ------- + opt : Dict + + Summary of the model built along with best paramameters + and estimators. + + model : object + + Final optimal model. + + model_summary : Dict + + Model summary containing key metrics like R-squared, RMSE, MSE, MAE, + MAPE + + Methods + ------- + predict + + Example + ------- + >>> mod = GLMNet(df=df_ip, y_var=["y"], x_var=["x1", "x2", "x3"]) + >>> df_op = mod.predict(df_predict) + """ def __init__(self, @@ -93,6 +118,7 @@ def __init__(self, self.x_var = x_var self.strata = strata self.model_summary = None + self.opt = None if param is None: param = {"seed": 1, "a_inc": 0.05, diff --git a/requirements.txt b/requirements.txt index ef333fe..b593d70 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,4 +1,4 @@ numpy==1.19.5 -pandas==1.1.3 Cython==0.29.15 +pandas==1.1.3 scikit_learn==1.0 From d7cc84c8f9763a890be54eae4bb7e8712aa1141e Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sat, 25 Sep 2021 18:24:20 +0530 Subject: [PATCH 045/116] v0.4.0 --- .github/workflows/checks.yml | 2 -- 1 file changed, 2 deletions(-) diff --git a/.github/workflows/checks.yml b/.github/workflows/checks.yml index 7745894..85e756a 100644 --- a/.github/workflows/checks.yml +++ b/.github/workflows/checks.yml @@ -21,8 +21,6 @@ on: branches: - 'stable' - 'testing' - - 'feature*' - - '!maintenance*' pull_request: branches: - 'stable' From 4bd6773d7433932230c88ee6ac6c4338b289fa73 Mon Sep 17 00:00:00 2001 From: MadhuTangudu Date: Sat, 25 Sep 2021 18:26:24 +0530 Subject: [PATCH 046/116] v0.4.0 changelog: - No code base change (Local run testing) --- logs/cov.out | 16 ++++++++-------- logs/pip.out | 2 +- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/logs/cov.out b/logs/cov.out index 5c6e44d..5aceeff 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -1,8 +1,8 @@ -Name Stmts Miss Cover Missing ------------------------------------------------------------------------------------------ -/media/ph33r/Data/Project/mllib/Git/mllib/__init__.py 7 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/__init__.py 7 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/cluster.py 103 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/model.py 45 0 100% ------------------------------------------------------------------------------------------ -TOTAL 162 0 100% +Name Stmts Miss Cover Missing +----------------------------------------------------- +mllib/__init__.py 7 0 100% +mllib/lib/__init__.py 7 0 100% +mllib/lib/cluster.py 103 0 100% +mllib/lib/model.py 45 0 100% +----------------------------------------------------- +TOTAL 162 0 100% diff --git a/logs/pip.out b/logs/pip.out index f61bf91..03fb79a 100644 --- a/logs/pip.out +++ b/logs/pip.out @@ -1 +1 @@ -INFO: Successfully saved requirements file in /media/ph33r/Data/Project/mllib/Git/requirements.txt +./bin/run_tests.sh: line 78: pipreqs: command not found From 44847b112c1017f446e59d661f274364da2ebd40 Mon Sep 17 00:00:00 2001 From: MadhuTangudu Date: Sat, 25 Sep 2021 20:55:25 +0530 Subject: [PATCH 047/116] v0.4.0 changelog: - added knn.py and test_knn.py modules - added iris.csv dataset --- data/input/iris.csv | 151 +++++++++++++++++++++++++++++++++++++++++++ mllib/lib/knn.py | 153 ++++++++++++++++++++++++++++++++++++++++++++ tests/test_knn.py | 101 +++++++++++++++++++++++++++++ 3 files changed, 405 insertions(+) create mode 100644 data/input/iris.csv create mode 100644 mllib/lib/knn.py create mode 100644 tests/test_knn.py diff --git a/data/input/iris.csv b/data/input/iris.csv new file mode 100644 index 0000000..d93a29c --- /dev/null +++ b/data/input/iris.csv @@ -0,0 +1,151 @@ +x3,x4,x1,x2,y +5.1,3.5,1.4,0.2,0 +4.9,3.0,1.4,0.2,0 +4.7,3.2,1.3,0.2,0 +4.6,3.1,1.5,0.2,0 +5.0,3.6,1.4,0.2,0 +5.4,3.9,1.7,0.4,0 +4.6,3.4,1.4,0.3,0 +5.0,3.4,1.5,0.2,0 +4.4,2.9,1.4,0.2,0 +4.9,3.1,1.5,0.1,0 +5.4,3.7,1.5,0.2,0 +4.8,3.4,1.6,0.2,0 +4.8,3.0,1.4,0.1,0 +4.3,3.0,1.1,0.1,0 +5.8,4.0,1.2,0.2,0 +5.7,4.4,1.5,0.4,0 +5.4,3.9,1.3,0.4,0 +5.1,3.5,1.4,0.3,0 +5.7,3.8,1.7,0.3,0 +5.1,3.8,1.5,0.3,0 +5.4,3.4,1.7,0.2,0 +5.1,3.7,1.5,0.4,0 +4.6,3.6,1.0,0.2,0 +5.1,3.3,1.7,0.5,0 +4.8,3.4,1.9,0.2,0 +5.0,3.0,1.6,0.2,0 +5.0,3.4,1.6,0.4,0 +5.2,3.5,1.5,0.2,0 +5.2,3.4,1.4,0.2,0 +4.7,3.2,1.6,0.2,0 +4.8,3.1,1.6,0.2,0 +5.4,3.4,1.5,0.4,0 +5.2,4.1,1.5,0.1,0 +5.5,4.2,1.4,0.2,0 +4.9,3.1,1.5,0.2,0 +5.0,3.2,1.2,0.2,0 +5.5,3.5,1.3,0.2,0 +4.9,3.6,1.4,0.1,0 +4.4,3.0,1.3,0.2,0 +5.1,3.4,1.5,0.2,0 +5.0,3.5,1.3,0.3,0 +4.5,2.3,1.3,0.3,0 +4.4,3.2,1.3,0.2,0 +5.0,3.5,1.6,0.6,0 +5.1,3.8,1.9,0.4,0 +4.8,3.0,1.4,0.3,0 +5.1,3.8,1.6,0.2,0 +4.6,3.2,1.4,0.2,0 +5.3,3.7,1.5,0.2,0 +5.0,3.3,1.4,0.2,0 +7.0,3.2,4.7,1.4,1 +6.4,3.2,4.5,1.5,1 +6.9,3.1,4.9,1.5,1 +5.5,2.3,4.0,1.3,1 +6.5,2.8,4.6,1.5,1 +5.7,2.8,4.5,1.3,1 +6.3,3.3,4.7,1.6,1 +4.9,2.4,3.3,1.0,1 +6.6,2.9,4.6,1.3,1 +5.2,2.7,3.9,1.4,1 +5.0,2.0,3.5,1.0,1 +5.9,3.0,4.2,1.5,1 +6.0,2.2,4.0,1.0,1 +6.1,2.9,4.7,1.4,1 +5.6,2.9,3.6,1.3,1 +6.7,3.1,4.4,1.4,1 +5.6,3.0,4.5,1.5,1 +5.8,2.7,4.1,1.0,1 +6.2,2.2,4.5,1.5,1 +5.6,2.5,3.9,1.1,1 +5.9,3.2,4.8,1.8,1 +6.1,2.8,4.0,1.3,1 +6.3,2.5,4.9,1.5,1 +6.1,2.8,4.7,1.2,1 +6.4,2.9,4.3,1.3,1 +6.6,3.0,4.4,1.4,1 +6.8,2.8,4.8,1.4,1 +6.7,3.0,5.0,1.7,1 +6.0,2.9,4.5,1.5,1 +5.7,2.6,3.5,1.0,1 +5.5,2.4,3.8,1.1,1 +5.5,2.4,3.7,1.0,1 +5.8,2.7,3.9,1.2,1 +6.0,2.7,5.1,1.6,1 +5.4,3.0,4.5,1.5,1 +6.0,3.4,4.5,1.6,1 +6.7,3.1,4.7,1.5,1 +6.3,2.3,4.4,1.3,1 +5.6,3.0,4.1,1.3,1 +5.5,2.5,4.0,1.3,1 +5.5,2.6,4.4,1.2,1 +6.1,3.0,4.6,1.4,1 +5.8,2.6,4.0,1.2,1 +5.0,2.3,3.3,1.0,1 +5.6,2.7,4.2,1.3,1 +5.7,3.0,4.2,1.2,1 +5.7,2.9,4.2,1.3,1 +6.2,2.9,4.3,1.3,1 +5.1,2.5,3.0,1.1,1 +5.7,2.8,4.1,1.3,1 +6.3,3.3,6.0,2.5,2 +5.8,2.7,5.1,1.9,2 +7.1,3.0,5.9,2.1,2 +6.3,2.9,5.6,1.8,2 +6.5,3.0,5.8,2.2,2 +7.6,3.0,6.6,2.1,2 +4.9,2.5,4.5,1.7,2 +7.3,2.9,6.3,1.8,2 +6.7,2.5,5.8,1.8,2 +7.2,3.6,6.1,2.5,2 +6.5,3.2,5.1,2.0,2 +6.4,2.7,5.3,1.9,2 +6.8,3.0,5.5,2.1,2 +5.7,2.5,5.0,2.0,2 +5.8,2.8,5.1,2.4,2 +6.4,3.2,5.3,2.3,2 +6.5,3.0,5.5,1.8,2 +7.7,3.8,6.7,2.2,2 +7.7,2.6,6.9,2.3,2 +6.0,2.2,5.0,1.5,2 +6.9,3.2,5.7,2.3,2 +5.6,2.8,4.9,2.0,2 +7.7,2.8,6.7,2.0,2 +6.3,2.7,4.9,1.8,2 +6.7,3.3,5.7,2.1,2 +7.2,3.2,6.0,1.8,2 +6.2,2.8,4.8,1.8,2 +6.1,3.0,4.9,1.8,2 +6.4,2.8,5.6,2.1,2 +7.2,3.0,5.8,1.6,2 +7.4,2.8,6.1,1.9,2 +7.9,3.8,6.4,2.0,2 +6.4,2.8,5.6,2.2,2 +6.3,2.8,5.1,1.5,2 +6.1,2.6,5.6,1.4,2 +7.7,3.0,6.1,2.3,2 +6.3,3.4,5.6,2.4,2 +6.4,3.1,5.5,1.8,2 +6.0,3.0,4.8,1.8,2 +6.9,3.1,5.4,2.1,2 +6.7,3.1,5.6,2.4,2 +6.9,3.1,5.1,2.3,2 +5.8,2.7,5.1,1.9,2 +6.8,3.2,5.9,2.3,2 +6.7,3.3,5.7,2.5,2 +6.7,3.0,5.2,2.3,2 +6.3,2.5,5.0,1.9,2 +6.5,3.0,5.2,2.0,2 +6.2,3.4,5.4,2.3,2 +5.9,3.0,5.1,1.8,2 diff --git a/mllib/lib/knn.py b/mllib/lib/knn.py new file mode 100644 index 0000000..855c6bb --- /dev/null +++ b/mllib/lib/knn.py @@ -0,0 +1,153 @@ +""" +Module for commonly used machine learning modelling algorithms. + +**Available routines:** + +- class ``Knn``: Builds K-Nearest Neighnour model sing cross validation. + +Credits +------- +:: + + Authors: + - Diptesh + - Madhu + + Date: Sep 25, 2021 +""" + +# pylint: disable=invalid-name +# pylint: disable=too-many-arguments +# pylint: disable=too-few-public-methods + +from typing import List, Dict, Any + +import re +import sys +from inspect import getsourcefile +from os.path import abspath + +import pandas as pd + +from sklearn import neighbors as sn +from sklearn.preprocessing import scale +from sklearn.model_selection import GridSearchCV + +path = abspath(getsourcefile(lambda: 0)) +path = re.sub(r"(.+\/)(.+.py)", "\\1", path) +sys.path.insert(0, path) + +class Knn(): + """ K-Nearest Neighbour (KNN) module. + + Objective: + - Build KNN model and determine optimal k + + Parameters + ---------- + :df: pandas.DataFrame + + Pandas dataframe containing the `y_var` and `x_var` + + :y_var: str + + Target variable + + :x_var: list + + List containing independant variables + + :method: str, optional + + Can be either `classify` or `regression` (default is 'classify') + + :k_fold: int, optional + + Number of cross validations folds (default is 5) + + :param: dict, optional + + KNN parameters (the default is None). + In case of None, the parameters will default to:: + + n_neighbors: max(int(len(df)/(k_fold * 2)), 1) + weights: ["uniform", "distance"] + metric: ["euclidean", "manhattan"] + + Methods + ------- + predict + + Example + ------- + >>> mod = Knn(df=df_ip, y_var=["y"], x_var=["x1", "x2", "x3"]) + >>> df_op = mod.predict(df_predict) + + """ + + def __init__(self, + df: pd.DataFrame, + y_var: str, + x_var: List[str], + method: str = "classify", + k_fold: int = 5, + param: Dict = None): + """Initialize variables for module ``Knn``.""" + self.df = df.reset_index(drop=True) + self.y_var = y_var + self.x_var = x_var + self.method = method + self.model = None + self.k_fold = k_fold + if param is None: + max_k = max(int(len(self.df)/(self.k_fold * 2)), 1) + param = {"n_neighbors": list(range(1, max_k, 2)), + "weights": ["uniform", "distance"], + "metric": ["euclidean", "manhattan"]} + self.param = param + self._pre_process() + self._fit() + + def _pre_process(self): + """Pre-process the data, one hot encoding and scaling.""" + df_ip_x = pd.get_dummies(self.df[self.x_var]) + self.x_var = list(df_ip_x.columns) + df_ip_x = pd.DataFrame(scale(df_ip_x)) + df_ip_x.columns = self.x_var + self.df = self.df[[self.y_var]].join(df_ip_x) + + def _fit(self) -> Dict[str, Any]: + """Fit KNN model.""" + if self.method == "classify": + gs = GridSearchCV(sn.KNeighborsClassifier(), + self.param, + verbose=0, + cv=self.k_fold, + n_jobs=1) + elif self.method == "regression": + gs = GridSearchCV(sn.KNeighborsRegressor(), + self.param, + verbose=0, + cv=self.k_fold, + n_jobs=1) + gs_op = gs.fit(self.df[self.x_var], + self.df[self.y_var]) + opt_k = gs_op.best_params_.get("n_neighbors") + weight = gs_op.best_params_.get("weights") + metric = gs_op.best_params_.get("metric") + if self.method == "classify": + model = sn.KNeighborsClassifier(n_neighbors=opt_k, + weights=weight, + metric=metric) + elif self.method == "regression": + model = sn.KNeighborsRegressor(n_neighbors=opt_k, + weights=weight, + metric=metric) + self.model = model.fit(self.df[self.x_var], + self.df[self.y_var]) + return gs_op.best_params_ + + def predict(self, x_pred: pd.DataFrame) -> pd.DataFrame: + """Prediction module.""" + x_pred = pd.DataFrame(scale(pd.get_dummies(x_pred))) + return self.model.predict(x_pred) diff --git a/tests/test_knn.py b/tests/test_knn.py new file mode 100644 index 0000000..2813cbf --- /dev/null +++ b/tests/test_knn.py @@ -0,0 +1,101 @@ +""" +Test suite module for ``knn``. + +Credits +------- +:: + + Authors: + - Diptesh + - Madhu + + Date: Sep 25, 2021 +""" + +# pylint: disable=invalid-name +# pylint: disable=wrong-import-position + +import unittest +import warnings +import re +import sys + +from inspect import getsourcefile +from os.path import abspath + +import pandas as pd + +from sklearn.model_selection import train_test_split as split + +# Set base path +path = abspath(getsourcefile(lambda: 0)) +path = re.sub(r"(.+)(\/tests.*)", "\\1", path) + +sys.path.insert(0, path) + +from mllib.lib.knn import Knn # noqa: F841 + +# ============================================================================= +# --- DO NOT CHANGE ANYTHING FROM HERE +# ============================================================================= + +path = path + "/data/input/" + +# ============================================================================= +# --- User defined functions +# ============================================================================= + + +def ignore_warnings(test_func): + """Suppress deprecation warnings.""" + + def do_test(self, *args, **kwargs): + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + test_func(self, *args, **kwargs) + return do_test + + +class Test_Knn(unittest.TestCase): + """Test suite for module ``KNN``.""" + + def setUp(self): + """Set up for module ``KNN``.""" + + def test_knn_class(self): + """ Test KNN classification. + """ + df_ip = pd.read_csv(path + "iris.csv") + df_ip = df_ip[["y", "x1", "x2"]] + df_train, df_test = split(df_ip, + stratify=df_ip["y"], + test_size=0.1, + random_state=42) + mod = Knn(df_train, "y", ["x1", "x2"], method="classify") + y_hat = mod.predict(df_test[["x1", "x2"]]).tolist() + y = df_test["y"].values.tolist() + acc = round(len([i for i, j in zip(y, y_hat) if i == j]) / len(y), 2) + self.assertGreaterEqual(acc, 0.93) + + def test_knn_reg(self): + """ Test KNN regression. + """ + df_ip = pd.read_csv(path + "iris.csv") + df_ip = df_ip[["y", "x1", "x2"]] + df_train, df_test = split(df_ip, + stratify=df_ip["y"], + test_size=0.1, + random_state=42) + mod = Knn(df_train, "y", ["x1", "x2"], method="regression") + y_hat = mod.predict(df_test[["x1", "x2"]]).tolist() + y = df_test["y"].values.tolist() + acc = round(len([i for i, j in zip(y, y_hat) if i == j]) / len(y), 2) + self.assertGreaterEqual(acc, 0.87) + + +# ============================================================================= +# --- Main +# ============================================================================= + +if __name__ == '__main__': + unittest.main() From e0c4f237fd9a32c86618258cf358b60b438421bc Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sat, 25 Sep 2021 21:45:10 +0530 Subject: [PATCH 048/116] v0.4.0 changelog: - added parallel processing by default in KNN module --- mllib/__main__.py | 19 +++++++++++++++++-- mllib/lib/knn.py | 47 +++++++++++++++++++++++++++------------------- mllib/lib/model.py | 2 +- tests/test_knn.py | 12 +++++------- 4 files changed, 51 insertions(+), 29 deletions(-) diff --git a/mllib/__main__.py b/mllib/__main__.py index 2fbd285..7875e9e 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -28,6 +28,7 @@ from lib import cfg, utils # noqa: F841 from lib.cluster import Cluster # noqa: F841 from lib.model import GLMNet # noqa: F841 +from lib.knn import KNN # noqa: F841 # ============================================================================= # --- DO NOT CHANGE ANYTHING FROM HERE @@ -52,13 +53,13 @@ CLI.add_argument("-f", "--filename", nargs=1, type=str, - default=["store.csv"], + default=["iris.csv"], help="input csv filename") args = CLI.parse_args() fn_ip = args.filename[0] -fn_ip = "store.csv" +fn_ip = "iris.csv" # ============================================================================= # --- Main @@ -84,6 +85,20 @@ print("\nGLMNet\n") for k, v in glm_mod.model_summary.items(): print(k, str(v).rjust(69 - len(k))) + print(elapsed_time("Time", start_t), + sep="\n") + # --- KNN + start_t = time.time_ns() + df_ip = pd.read_csv(path + "input/iris.csv") + df_ip = df_ip[["y", "x1", "x2"]] + df_train = df_ip.sample(frac=0.8, random_state=42) + df_test = df_ip.drop(df_train.index) + mod = KNN(df_train, "y", ["x1", "x2"], method="classify") + print("\nKNN\n") + y_hat = mod.predict(df_test[["x1", "x2"]]).tolist() + y = df_test["y"].values.tolist() + accuracy = round(len([i for i, j in zip(y, y_hat) if i == j]) / len(y), 2) + print("Accuracy:", accuracy) print(elapsed_time("Time", start_t), sep="\n") # --- EOF diff --git a/mllib/lib/knn.py b/mllib/lib/knn.py index 855c6bb..36c7bc0 100644 --- a/mllib/lib/knn.py +++ b/mllib/lib/knn.py @@ -1,9 +1,9 @@ """ -Module for commonly used machine learning modelling algorithms. +k-NN module. **Available routines:** -- class ``Knn``: Builds K-Nearest Neighnour model sing cross validation. +- class ``KNN``: Builds K-Nearest Neighnour model using cross validation. Credits ------- @@ -37,35 +37,38 @@ path = re.sub(r"(.+\/)(.+.py)", "\\1", path) sys.path.insert(0, path) -class Knn(): - """ K-Nearest Neighbour (KNN) module. + +class KNN(): + """K-Nearest Neighbour (KNN) module. Objective: - - Build KNN model and determine optimal k + - Build + `KNN `_ + model and determine optimal k Parameters ---------- - :df: pandas.DataFrame + df : pandas.DataFrame Pandas dataframe containing the `y_var` and `x_var` - :y_var: str + y_var : str - Target variable + Dependant variable - :x_var: list + x_var : List[str] - List containing independant variables + Independant variables. - :method: str, optional + method : str, optional - Can be either `classify` or `regression` (default is 'classify') + Can be either `classify` or `regression` (the default is classify) - :k_fold: int, optional + k_fold : int, optional - Number of cross validations folds (default is 5) + Number of cross validations folds (the default is 5) - :param: dict, optional + param : dict, optional KNN parameters (the default is None). In case of None, the parameters will default to:: @@ -74,13 +77,19 @@ class Knn(): weights: ["uniform", "distance"] metric: ["euclidean", "manhattan"] + Returns + ------- + model : object + + Final optimal model. + Methods ------- predict Example ------- - >>> mod = Knn(df=df_ip, y_var=["y"], x_var=["x1", "x2", "x3"]) + >>> mod = KNN(df=df_ip, y_var=["y"], x_var=["x1", "x2", "x3"]) >>> df_op = mod.predict(df_predict) """ @@ -92,7 +101,7 @@ def __init__(self, method: str = "classify", k_fold: int = 5, param: Dict = None): - """Initialize variables for module ``Knn``.""" + """Initialize variables for module ``KNN``.""" self.df = df.reset_index(drop=True) self.y_var = y_var self.x_var = x_var @@ -123,13 +132,13 @@ def _fit(self) -> Dict[str, Any]: self.param, verbose=0, cv=self.k_fold, - n_jobs=1) + n_jobs=-1) elif self.method == "regression": gs = GridSearchCV(sn.KNeighborsRegressor(), self.param, verbose=0, cv=self.k_fold, - n_jobs=1) + n_jobs=-1) gs_op = gs.fit(self.df[self.x_var], self.df[self.y_var]) opt_k = gs_op.best_params_.get("n_neighbors") diff --git a/mllib/lib/model.py b/mllib/lib/model.py index a90ebcf..e8adf2a 100644 --- a/mllib/lib/model.py +++ b/mllib/lib/model.py @@ -1,5 +1,5 @@ """ -Module for commonly used machine learning modelling algorithms. +GLMNet module. **Available routines:** diff --git a/tests/test_knn.py b/tests/test_knn.py index 2813cbf..b6a55c8 100644 --- a/tests/test_knn.py +++ b/tests/test_knn.py @@ -33,7 +33,7 @@ sys.path.insert(0, path) -from mllib.lib.knn import Knn # noqa: F841 +from mllib.lib.knn import KNN # noqa: F841 # ============================================================================= # --- DO NOT CHANGE ANYTHING FROM HERE @@ -63,30 +63,28 @@ def setUp(self): """Set up for module ``KNN``.""" def test_knn_class(self): - """ Test KNN classification. - """ + """KNN: Test for classification.""" df_ip = pd.read_csv(path + "iris.csv") df_ip = df_ip[["y", "x1", "x2"]] df_train, df_test = split(df_ip, stratify=df_ip["y"], test_size=0.1, random_state=42) - mod = Knn(df_train, "y", ["x1", "x2"], method="classify") + mod = KNN(df_train, "y", ["x1", "x2"], method="classify") y_hat = mod.predict(df_test[["x1", "x2"]]).tolist() y = df_test["y"].values.tolist() acc = round(len([i for i, j in zip(y, y_hat) if i == j]) / len(y), 2) self.assertGreaterEqual(acc, 0.93) def test_knn_reg(self): - """ Test KNN regression. - """ + """KNN: Test for regression.""" df_ip = pd.read_csv(path + "iris.csv") df_ip = df_ip[["y", "x1", "x2"]] df_train, df_test = split(df_ip, stratify=df_ip["y"], test_size=0.1, random_state=42) - mod = Knn(df_train, "y", ["x1", "x2"], method="regression") + mod = KNN(df_train, "y", ["x1", "x2"], method="regression") y_hat = mod.predict(df_test[["x1", "x2"]]).tolist() y = df_test["y"].values.tolist() acc = round(len([i for i, j in zip(y, y_hat) if i == j]) / len(y), 2) From d28f86978d879f96744b2305a1b6ae193ef48a0c Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sat, 25 Sep 2021 21:47:36 +0530 Subject: [PATCH 049/116] v0.4.0 --- logs/cov.out | 17 +++++++++-------- logs/pip.out | 2 +- logs/pylint/lib-knn-py.out | 4 ++++ logs/pylint/tests-test_knn-py.out | 4 ++++ requirements.txt | 2 +- 5 files changed, 19 insertions(+), 10 deletions(-) create mode 100644 logs/pylint/lib-knn-py.out create mode 100644 logs/pylint/tests-test_knn-py.out diff --git a/logs/cov.out b/logs/cov.out index 5aceeff..6b2ba28 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -1,8 +1,9 @@ -Name Stmts Miss Cover Missing ------------------------------------------------------ -mllib/__init__.py 7 0 100% -mllib/lib/__init__.py 7 0 100% -mllib/lib/cluster.py 103 0 100% -mllib/lib/model.py 45 0 100% ------------------------------------------------------ -TOTAL 162 0 100% +Name Stmts Miss Cover Missing +----------------------------------------------------------------------------------------- +/media/ph33r/Data/Project/mllib/Git/mllib/__init__.py 7 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/__init__.py 7 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/cluster.py 103 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/knn.py 50 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/model.py 45 0 100% +----------------------------------------------------------------------------------------- +TOTAL 212 0 100% diff --git a/logs/pip.out b/logs/pip.out index 03fb79a..f61bf91 100644 --- a/logs/pip.out +++ b/logs/pip.out @@ -1 +1 @@ -./bin/run_tests.sh: line 78: pipreqs: command not found +INFO: Successfully saved requirements file in /media/ph33r/Data/Project/mllib/Git/requirements.txt diff --git a/logs/pylint/lib-knn-py.out b/logs/pylint/lib-knn-py.out new file mode 100644 index 0000000..b96d3cd --- /dev/null +++ b/logs/pylint/lib-knn-py.out @@ -0,0 +1,4 @@ + +------------------------------------ +Your code has been rated at 10.00/10 + diff --git a/logs/pylint/tests-test_knn-py.out b/logs/pylint/tests-test_knn-py.out new file mode 100644 index 0000000..b96d3cd --- /dev/null +++ b/logs/pylint/tests-test_knn-py.out @@ -0,0 +1,4 @@ + +------------------------------------ +Your code has been rated at 10.00/10 + diff --git a/requirements.txt b/requirements.txt index b593d70..45ef809 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,4 +1,4 @@ -numpy==1.19.5 Cython==0.29.15 pandas==1.1.3 +numpy==1.19.5 scikit_learn==1.0 From 0f63e4314d0aa0003798f9f722e660d6be462ee6 Mon Sep 17 00:00:00 2001 From: MadhuTangudu Date: Sun, 26 Sep 2021 00:30:00 +0530 Subject: [PATCH 050/116] v0.4.0 changelog: - _compute_metrics method added --- logs/cov.out | 18 ++++----- logs/pip.out | 2 +- logs/pylint/lib-knn-py.out | 9 ++++- logs/pylint/tests-test_knn-py.out | 4 +- mllib/lib/knn.py | 65 ++++++++++++++++++++++++++----- tests/test_knn.py | 11 +++--- 6 files changed, 80 insertions(+), 29 deletions(-) diff --git a/logs/cov.out b/logs/cov.out index 6b2ba28..457d257 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -1,9 +1,9 @@ -Name Stmts Miss Cover Missing ------------------------------------------------------------------------------------------ -/media/ph33r/Data/Project/mllib/Git/mllib/__init__.py 7 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/__init__.py 7 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/cluster.py 103 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/knn.py 50 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/model.py 45 0 100% ------------------------------------------------------------------------------------------ -TOTAL 212 0 100% +Name Stmts Miss Cover Missing +----------------------------------------------------- +mllib/__init__.py 7 0 100% +mllib/lib/__init__.py 7 0 100% +mllib/lib/cluster.py 103 0 100% +mllib/lib/knn.py 67 0 100% +mllib/lib/model.py 45 0 100% +----------------------------------------------------- +TOTAL 229 0 100% diff --git a/logs/pip.out b/logs/pip.out index f61bf91..03fb79a 100644 --- a/logs/pip.out +++ b/logs/pip.out @@ -1 +1 @@ -INFO: Successfully saved requirements file in /media/ph33r/Data/Project/mllib/Git/requirements.txt +./bin/run_tests.sh: line 78: pipreqs: command not found diff --git a/logs/pylint/lib-knn-py.out b/logs/pylint/lib-knn-py.out index b96d3cd..840218f 100644 --- a/logs/pylint/lib-knn-py.out +++ b/logs/pylint/lib-knn-py.out @@ -1,4 +1,9 @@ +************* Module mllib.lib.knn +knn.py:174:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:175:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:176:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:177:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) ------------------------------------- -Your code has been rated at 10.00/10 +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/logs/pylint/tests-test_knn-py.out b/logs/pylint/tests-test_knn-py.out index b96d3cd..d7495ee 100644 --- a/logs/pylint/tests-test_knn-py.out +++ b/logs/pylint/tests-test_knn-py.out @@ -1,4 +1,4 @@ ------------------------------------- -Your code has been rated at 10.00/10 +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/mllib/lib/knn.py b/mllib/lib/knn.py index 36c7bc0..b7d037c 100644 --- a/mllib/lib/knn.py +++ b/mllib/lib/knn.py @@ -19,6 +19,8 @@ # pylint: disable=invalid-name # pylint: disable=too-many-arguments # pylint: disable=too-few-public-methods +# pylint: disable=R0902 +# pylint: disable=wrong-import-position from typing import List, Dict, Any @@ -28,15 +30,19 @@ from os.path import abspath import pandas as pd +import numpy as np from sklearn import neighbors as sn from sklearn.preprocessing import scale +from sklearn import metrics as sk_metrics + from sklearn.model_selection import GridSearchCV path = abspath(getsourcefile(lambda: 0)) path = re.sub(r"(.+\/)(.+.py)", "\\1", path) sys.path.insert(0, path) +import metrics # noqa: F841 class KNN(): """K-Nearest Neighbour (KNN) module. @@ -102,9 +108,9 @@ def __init__(self, k_fold: int = 5, param: Dict = None): """Initialize variables for module ``KNN``.""" - self.df = df.reset_index(drop=True) self.y_var = y_var self.x_var = x_var + self.df = df[[self.y_var] + self.x_var].reset_index(drop=True) self.method = method self.model = None self.k_fold = k_fold @@ -115,7 +121,9 @@ def __init__(self, "metric": ["euclidean", "manhattan"]} self.param = param self._pre_process() - self._fit() + self.best_params_ = self._fit() + self.model_summary = None + self._compute_metrics() def _pre_process(self): """Pre-process the data, one hot encoding and scaling.""" @@ -128,14 +136,16 @@ def _pre_process(self): def _fit(self) -> Dict[str, Any]: """Fit KNN model.""" if self.method == "classify": - gs = GridSearchCV(sn.KNeighborsClassifier(), - self.param, + gs = GridSearchCV(estimator=sn.KNeighborsClassifier(), + param_grid=self.param, + scoring='accuracy', verbose=0, cv=self.k_fold, n_jobs=-1) elif self.method == "regression": - gs = GridSearchCV(sn.KNeighborsRegressor(), - self.param, + gs = GridSearchCV(estimator=sn.KNeighborsRegressor(), + param_grid=self.param, + scoring='neg_root_mean_squared_error', verbose=0, cv=self.k_fold, n_jobs=-1) @@ -156,7 +166,42 @@ def _fit(self) -> Dict[str, Any]: self.df[self.y_var]) return gs_op.best_params_ - def predict(self, x_pred: pd.DataFrame) -> pd.DataFrame: - """Prediction module.""" - x_pred = pd.DataFrame(scale(pd.get_dummies(x_pred))) - return self.model.predict(x_pred) + def _compute_metrics(self): + """Compute commonly used metrics to evaluate the model.""" + y = self.df.iloc[:, 0].values.tolist() + y_hat = list(self.predict(self.df[self.x_var])["y"].values) + if self.method == "regression": + model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), + "mae": np.round(metrics.mae(y, y_hat), 3), + "mape": np.round(metrics.mape(y, y_hat), 3), + "rmse": np.round(metrics.rmse(y, y_hat), 3)} + model_summary["mse"] = np.round(model_summary["rmse"] ** 2, 3) + if self.method == "classify": + model_summary = {"acc": np.round(\ + sk_metrics.accuracy_score(y, y_hat), 3), + "f1": np.round(\ + sk_metrics.f1_score(y, + y_hat, + average='micro'), 3)} + self.model_summary = model_summary + + def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: + """Predict y_var/target variable. + + Parameters + ---------- + df_predict : pd.DataFrame + + Pandas dataframe containing `x_var`. + + Returns + ------- + pd.DataFrame + + Pandas dataframe containing predicted `y_var` and `x_var`. + """ + df_predict = pd.DataFrame(scale(pd.get_dummies(df_predict))) + y_hat = self.model.predict(df_predict) + df_predict = df_predict.copy() + df_predict["y"] = y_hat + return df_predict diff --git a/tests/test_knn.py b/tests/test_knn.py index b6a55c8..ae2f2ce 100644 --- a/tests/test_knn.py +++ b/tests/test_knn.py @@ -26,6 +26,7 @@ import pandas as pd from sklearn.model_selection import train_test_split as split +from sklearn import metrics as sk_metrics # Set base path path = abspath(getsourcefile(lambda: 0)) @@ -71,9 +72,9 @@ def test_knn_class(self): test_size=0.1, random_state=42) mod = KNN(df_train, "y", ["x1", "x2"], method="classify") - y_hat = mod.predict(df_test[["x1", "x2"]]).tolist() + y_hat = mod.predict(df_test[["x1", "x2"]])["y"].tolist() y = df_test["y"].values.tolist() - acc = round(len([i for i, j in zip(y, y_hat) if i == j]) / len(y), 2) + acc = round(sk_metrics.accuracy_score(y, y_hat), 2) self.assertGreaterEqual(acc, 0.93) def test_knn_reg(self): @@ -85,10 +86,10 @@ def test_knn_reg(self): test_size=0.1, random_state=42) mod = KNN(df_train, "y", ["x1", "x2"], method="regression") - y_hat = mod.predict(df_test[["x1", "x2"]]).tolist() + y_hat = mod.predict(df_test[["x1", "x2"]])["y"].tolist() y = df_test["y"].values.tolist() - acc = round(len([i for i, j in zip(y, y_hat) if i == j]) / len(y), 2) - self.assertGreaterEqual(acc, 0.87) + acc = round(sk_metrics.mean_squared_error(y, y_hat), 2) + self.assertLessEqual(acc, 0.1) # ============================================================================= From 69436d313d2e3544d90d5d41a5b465bea3e2c48f Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sun, 26 Sep 2021 01:00:09 +0530 Subject: [PATCH 051/116] v0.4.0 changelog: - minor changes in variables names --- logs/cov.out | 18 +++++++++--------- logs/pip.out | 2 +- logs/pylint/lib-knn-py.out | 12 ++++++------ mllib/lib/knn.py | 13 +++++++------ requirements.txt | 2 +- 5 files changed, 24 insertions(+), 23 deletions(-) diff --git a/logs/cov.out b/logs/cov.out index 457d257..cc34ded 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -1,9 +1,9 @@ -Name Stmts Miss Cover Missing ------------------------------------------------------ -mllib/__init__.py 7 0 100% -mllib/lib/__init__.py 7 0 100% -mllib/lib/cluster.py 103 0 100% -mllib/lib/knn.py 67 0 100% -mllib/lib/model.py 45 0 100% ------------------------------------------------------ -TOTAL 229 0 100% +Name Stmts Miss Cover Missing +----------------------------------------------------------------------------------------- +/media/ph33r/Data/Project/mllib/Git/mllib/__init__.py 7 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/__init__.py 7 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/cluster.py 103 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/knn.py 69 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/model.py 45 0 100% +----------------------------------------------------------------------------------------- +TOTAL 231 0 100% diff --git a/logs/pip.out b/logs/pip.out index 03fb79a..f61bf91 100644 --- a/logs/pip.out +++ b/logs/pip.out @@ -1 +1 @@ -./bin/run_tests.sh: line 78: pipreqs: command not found +INFO: Successfully saved requirements file in /media/ph33r/Data/Project/mllib/Git/requirements.txt diff --git a/logs/pylint/lib-knn-py.out b/logs/pylint/lib-knn-py.out index 840218f..48851ad 100644 --- a/logs/pylint/lib-knn-py.out +++ b/logs/pylint/lib-knn-py.out @@ -1,9 +1,9 @@ ************* Module mllib.lib.knn -knn.py:174:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -knn.py:175:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -knn.py:176:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -knn.py:177:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:175:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:176:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:177:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:178:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) --------------------------------------------------------------------- -Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) +------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 9.70/10, +0.30) diff --git a/mllib/lib/knn.py b/mllib/lib/knn.py index b7d037c..8d19d7c 100644 --- a/mllib/lib/knn.py +++ b/mllib/lib/knn.py @@ -44,6 +44,7 @@ import metrics # noqa: F841 + class KNN(): """K-Nearest Neighbour (KNN) module. @@ -177,12 +178,11 @@ def _compute_metrics(self): "rmse": np.round(metrics.rmse(y, y_hat), 3)} model_summary["mse"] = np.round(model_summary["rmse"] ** 2, 3) if self.method == "classify": - model_summary = {"acc": np.round(\ - sk_metrics.accuracy_score(y, y_hat), 3), - "f1": np.round(\ - sk_metrics.f1_score(y, - y_hat, - average='micro'), 3)} + accuracy = np.round(sk_metrics.accuracy_score(y, y_hat), 3) + f1_score = np.round(sk_metrics.f1_score(y, y_hat, + average='micro'), 3) + model_summary = {"accuracy": accuracy, + "f1": f1_score} self.model_summary = model_summary def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: @@ -199,6 +199,7 @@ def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: pd.DataFrame Pandas dataframe containing predicted `y_var` and `x_var`. + """ df_predict = pd.DataFrame(scale(pd.get_dummies(df_predict))) y_hat = self.model.predict(df_predict) diff --git a/requirements.txt b/requirements.txt index 45ef809..cf8b072 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,4 +1,4 @@ -Cython==0.29.15 pandas==1.1.3 +Cython==0.29.15 numpy==1.19.5 scikit_learn==1.0 From 6a5e16a966a1f16d8bfbc691cf3cf2d8a899bb40 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sun, 26 Sep 2021 01:11:10 +0530 Subject: [PATCH 052/116] v0.4.0 --- mllib/lib/knn.py | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/mllib/lib/knn.py b/mllib/lib/knn.py index 8d19d7c..a2f2bd2 100644 --- a/mllib/lib/knn.py +++ b/mllib/lib/knn.py @@ -17,10 +17,7 @@ """ # pylint: disable=invalid-name -# pylint: disable=too-many-arguments -# pylint: disable=too-few-public-methods -# pylint: disable=R0902 -# pylint: disable=wrong-import-position +# pylint: disable=R0902,R0903,R0913,C0413 from typing import List, Dict, Any From bfd1b133a7966b3bc73c1a9ff7bc3453e07c3dbc Mon Sep 17 00:00:00 2001 From: MadhuTangudu Date: Sun, 26 Sep 2021 16:47:34 +0530 Subject: [PATCH 053/116] v0.4.0 changelog: - cross validation metric changed to accuracy and rmse for classification and regresion in knn.py file - test for categorical variable added to test_knn.py --- data/input/iris.csv | 302 ++++++++++++++++++------------------- logs/cov.out | 18 +-- logs/pip.out | 2 +- logs/pylint/lib-knn-py.out | 12 +- mllib/lib/knn.py | 18 ++- tests/test_knn.py | 10 ++ 6 files changed, 190 insertions(+), 172 deletions(-) diff --git a/data/input/iris.csv b/data/input/iris.csv index d93a29c..2e5cab0 100644 --- a/data/input/iris.csv +++ 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a/logs/cov.out b/logs/cov.out index cc34ded..a8c7525 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -1,9 +1,9 @@ -Name Stmts Miss Cover Missing ------------------------------------------------------------------------------------------ -/media/ph33r/Data/Project/mllib/Git/mllib/__init__.py 7 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/__init__.py 7 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/cluster.py 103 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/knn.py 69 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/model.py 45 0 100% ------------------------------------------------------------------------------------------ -TOTAL 231 0 100% +Name Stmts Miss Cover Missing +----------------------------------------------------- +mllib/__init__.py 7 0 100% +mllib/lib/__init__.py 7 0 100% +mllib/lib/cluster.py 103 0 100% +mllib/lib/knn.py 77 0 100% +mllib/lib/model.py 45 0 100% +----------------------------------------------------- +TOTAL 239 0 100% diff --git a/logs/pip.out b/logs/pip.out index f61bf91..03fb79a 100644 --- a/logs/pip.out +++ b/logs/pip.out @@ -1 +1 @@ -INFO: Successfully saved requirements file in /media/ph33r/Data/Project/mllib/Git/requirements.txt +./bin/run_tests.sh: line 78: pipreqs: command not found diff --git a/logs/pylint/lib-knn-py.out b/logs/pylint/lib-knn-py.out index 48851ad..840218f 100644 --- a/logs/pylint/lib-knn-py.out +++ b/logs/pylint/lib-knn-py.out @@ -1,9 +1,9 @@ ************* Module mllib.lib.knn -knn.py:175:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -knn.py:176:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -knn.py:177:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -knn.py:178:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:174:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:175:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:176:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:177:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- -Your code has been rated at 10.00/10 (previous run: 9.70/10, +0.30) +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/mllib/lib/knn.py b/mllib/lib/knn.py index a2f2bd2..521b5f3 100644 --- a/mllib/lib/knn.py +++ b/mllib/lib/knn.py @@ -30,7 +30,7 @@ import numpy as np from sklearn import neighbors as sn -from sklearn.preprocessing import scale +from sklearn.preprocessing import MinMaxScaler from sklearn import metrics as sk_metrics from sklearn.model_selection import GridSearchCV @@ -108,7 +108,7 @@ def __init__(self, """Initialize variables for module ``KNN``.""" self.y_var = y_var self.x_var = x_var - self.df = df[[self.y_var] + self.x_var].reset_index(drop=True) + self.df = df.reset_index(drop=True) self.method = method self.model = None self.k_fold = k_fold @@ -124,10 +124,12 @@ def __init__(self, self._compute_metrics() def _pre_process(self): - """Pre-process the data, one hot encoding and scaling.""" + """Pre-process the data, one hot encoding and Normalizing.""" df_ip_x = pd.get_dummies(self.df[self.x_var]) self.x_var = list(df_ip_x.columns) - df_ip_x = pd.DataFrame(scale(df_ip_x)) + self.norm = MinMaxScaler() + self.norm.fit(df_ip_x) + df_ip_x = pd.DataFrame(self.norm.transform(df_ip_x[self.x_var])) df_ip_x.columns = self.x_var self.df = self.df[[self.y_var]].join(df_ip_x) @@ -198,8 +200,14 @@ def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: Pandas dataframe containing predicted `y_var` and `x_var`. """ - df_predict = pd.DataFrame(scale(pd.get_dummies(df_predict))) + df_predict = pd.get_dummies(df_predict) + df_predict_tmp = pd.DataFrame(columns=self.x_var) + df_predict = pd.concat([df_predict_tmp, df_predict]) + df_predict = df_predict.fillna(0) + df_predict = pd.DataFrame(self.norm.transform(df_predict[self.x_var])) + df_predict.columns = self.x_var y_hat = self.model.predict(df_predict) df_predict = df_predict.copy() df_predict["y"] = y_hat + df_predict = df_predict[[self.y_var] + self.x_var] return df_predict diff --git a/tests/test_knn.py b/tests/test_knn.py index ae2f2ce..7020044 100644 --- a/tests/test_knn.py +++ b/tests/test_knn.py @@ -91,6 +91,16 @@ def test_knn_reg(self): acc = round(sk_metrics.mean_squared_error(y, y_hat), 2) self.assertLessEqual(acc, 0.1) + def test_knn_cat(self): + """KNN: Test for dummies in prediction dataset.""" + df_ip = pd.read_csv(path + "iris.csv") + df_ip = df_ip[["y", "x1", "x5"]] + df_train = df_ip.iloc[1:140] + df_predict = df_ip.iloc[145:150] + mod = KNN(df_train, "y", ["x1", "x5"], method="classify") + df_predict_columns = mod.predict(df_predict).columns.tolist() + df_predict_columns.pop(0) + self.assertGreaterEqual(mod.x_var, df_predict_columns) # ============================================================================= # --- Main From d61fc5d044c6330abf741af3865d77180b6867ad Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sun, 26 Sep 2021 18:22:40 +0530 Subject: [PATCH 054/116] v0.4.0 changelog: -added ignore warnings decorator in unit tests --- mllib/__main__.py | 2 +- mllib/lib/dev_knn.py | 30 ++++++++++++++++++++++++++++++ tests/test_cluster.py | 2 +- tests/test_knn.py | 4 +++- tests/test_metrics.py | 2 +- tests/test_model.py | 2 +- 6 files changed, 37 insertions(+), 5 deletions(-) create mode 100644 mllib/lib/dev_knn.py diff --git a/mllib/__main__.py b/mllib/__main__.py index 7875e9e..4da6d36 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -95,7 +95,7 @@ df_test = df_ip.drop(df_train.index) mod = KNN(df_train, "y", ["x1", "x2"], method="classify") print("\nKNN\n") - y_hat = mod.predict(df_test[["x1", "x2"]]).tolist() + y_hat = mod.predict(df_test[["x1", "x2"]])["y"].tolist() y = df_test["y"].values.tolist() accuracy = round(len([i for i, j in zip(y, y_hat) if i == j]) / len(y), 2) print("Accuracy:", accuracy) diff --git a/mllib/lib/dev_knn.py b/mllib/lib/dev_knn.py new file mode 100644 index 0000000..501e83c --- /dev/null +++ b/mllib/lib/dev_knn.py @@ -0,0 +1,30 @@ +import pandas as pd + +from sklearn.preprocessing import MinMaxScaler +from sklearn.neighbors import KNeighborsClassifier +from sklearn.metrics import classification_report + +path = "/media/ph33r/Data/Project/mllib/Git/data/input/" + +fn_ip = "iris.csv" + +df = pd.read_csv(path + fn_ip) + +y_var = ["y"] +x_var = ["x1", "x2", "x3", "x4"] + +scaler = MinMaxScaler() +scaler.fit(df[x_var]) + +df_x_var = scaler.transform(df[x_var]) +df_y_var = df[y_var].values.ravel() + +classifier = KNeighborsClassifier(n_neighbors=3) +classifier.fit(df_x_var, df_y_var) + +y_hat = classifier.predict(df_x_var) + +tmp = classification_report(y_hat, df_y_var, output_dict=True, zero_division=0) +model_summary = tmp["weighted avg"] +model_summary["accuracy"] = tmp["accuracy"] +model_summary diff --git a/tests/test_cluster.py b/tests/test_cluster.py index efd74f4..f14e30b 100644 --- a/tests/test_cluster.py +++ b/tests/test_cluster.py @@ -44,7 +44,7 @@ def ignore_warnings(test_func): - """Suppress deprecation warnings of pulp.""" + """Suppress warnings.""" def do_test(self, *args, **kwargs): with warnings.catch_warnings(): diff --git a/tests/test_knn.py b/tests/test_knn.py index 7020044..e72d60c 100644 --- a/tests/test_knn.py +++ b/tests/test_knn.py @@ -48,7 +48,7 @@ def ignore_warnings(test_func): - """Suppress deprecation warnings.""" + """Suppress warnings.""" def do_test(self, *args, **kwargs): with warnings.catch_warnings(): @@ -77,6 +77,7 @@ def test_knn_class(self): acc = round(sk_metrics.accuracy_score(y, y_hat), 2) self.assertGreaterEqual(acc, 0.93) + @ignore_warnings def test_knn_reg(self): """KNN: Test for regression.""" df_ip = pd.read_csv(path + "iris.csv") @@ -102,6 +103,7 @@ def test_knn_cat(self): df_predict_columns.pop(0) self.assertGreaterEqual(mod.x_var, df_predict_columns) + # ============================================================================= # --- Main # ============================================================================= diff --git a/tests/test_metrics.py b/tests/test_metrics.py index d9b7eac..948bec4 100644 --- a/tests/test_metrics.py +++ b/tests/test_metrics.py @@ -38,7 +38,7 @@ def ignore_warnings(test_func): - """Suppress deprecation warnings of pulp.""" + """Suppress warnings.""" def do_test(self, *args, **kwargs): with warnings.catch_warnings(): diff --git a/tests/test_model.py b/tests/test_model.py index a73901c..cc05ec4 100644 --- a/tests/test_model.py +++ b/tests/test_model.py @@ -45,7 +45,7 @@ def ignore_warnings(test_func): - """Suppress deprecation warnings.""" + """Suppress warnings.""" def do_test(self, *args, **kwargs): with warnings.catch_warnings(): From 6e26a94594009a3fb1b0f17ca230f1c48ee37812 Mon Sep 17 00:00:00 2001 From: MadhuTangudu Date: Sun, 26 Sep 2021 20:55:31 +0530 Subject: [PATCH 055/116] v0..4.0 changelog: - code cleaning of knn.py, test_knn.py, model.py and test_model.py --- logs/cov.out | 4 ++-- mllib/lib/dev_knn.py | 30 ------------------------------ mllib/lib/knn.py | 30 ++++++++++++++---------------- mllib/lib/model.py | 12 ++++++------ tests/test_knn.py | 34 ++++++++++++++++++++-------------- tests/test_model.py | 4 ++-- 6 files changed, 44 insertions(+), 70 deletions(-) delete mode 100644 mllib/lib/dev_knn.py diff --git a/logs/cov.out b/logs/cov.out index a8c7525..1fbdc4b 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -3,7 +3,7 @@ Name Stmts Miss Cover Missing mllib/__init__.py 7 0 100% mllib/lib/__init__.py 7 0 100% mllib/lib/cluster.py 103 0 100% -mllib/lib/knn.py 77 0 100% +mllib/lib/knn.py 74 0 100% mllib/lib/model.py 45 0 100% ----------------------------------------------------- -TOTAL 239 0 100% +TOTAL 236 0 100% diff --git a/mllib/lib/dev_knn.py b/mllib/lib/dev_knn.py deleted file mode 100644 index 501e83c..0000000 --- a/mllib/lib/dev_knn.py +++ /dev/null @@ -1,30 +0,0 @@ -import pandas as pd - -from sklearn.preprocessing import MinMaxScaler -from sklearn.neighbors import KNeighborsClassifier -from sklearn.metrics import classification_report - -path = "/media/ph33r/Data/Project/mllib/Git/data/input/" - -fn_ip = "iris.csv" - -df = pd.read_csv(path + fn_ip) - -y_var = ["y"] -x_var = ["x1", "x2", "x3", "x4"] - -scaler = MinMaxScaler() -scaler.fit(df[x_var]) - -df_x_var = scaler.transform(df[x_var]) -df_y_var = df[y_var].values.ravel() - -classifier = KNeighborsClassifier(n_neighbors=3) -classifier.fit(df_x_var, df_y_var) - -y_hat = classifier.predict(df_x_var) - -tmp = classification_report(y_hat, df_y_var, output_dict=True, zero_division=0) -model_summary = tmp["weighted avg"] -model_summary["accuracy"] = tmp["accuracy"] -model_summary diff --git a/mllib/lib/knn.py b/mllib/lib/knn.py index 521b5f3..9943baf 100644 --- a/mllib/lib/knn.py +++ b/mllib/lib/knn.py @@ -31,7 +31,7 @@ from sklearn import neighbors as sn from sklearn.preprocessing import MinMaxScaler -from sklearn import metrics as sk_metrics +from sklearn.metrics import classification_report from sklearn.model_selection import GridSearchCV @@ -62,11 +62,11 @@ class KNN(): x_var : List[str] - Independant variables. + Independant variables method : str, optional - Can be either `classify` or `regression` (the default is classify) + Can be either `classify` or `regression` (the default is regression) k_fold : int, optional @@ -93,7 +93,7 @@ class KNN(): Example ------- - >>> mod = KNN(df=df_ip, y_var=["y"], x_var=["x1", "x2", "x3"]) + >>> mod = KNN(df=df_ip, y_var="y", x_var=["x1", "x2", "x3"]) >>> df_op = mod.predict(df_predict) """ @@ -102,7 +102,7 @@ def __init__(self, df: pd.DataFrame, y_var: str, x_var: List[str], - method: str = "classify", + method: str = "regression", k_fold: int = 5, param: Dict = None): """Initialize variables for module ``KNN``.""" @@ -168,8 +168,8 @@ def _fit(self) -> Dict[str, Any]: def _compute_metrics(self): """Compute commonly used metrics to evaluate the model.""" - y = self.df.iloc[:, 0].values.tolist() - y_hat = list(self.predict(self.df[self.x_var])["y"].values) + y = self.df.loc[:, self.y_var].values.tolist() + y_hat = list(self.predict(self.df[self.x_var])[self.y_var].values) if self.method == "regression": model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), "mae": np.round(metrics.mae(y, y_hat), 3), @@ -177,11 +177,10 @@ def _compute_metrics(self): "rmse": np.round(metrics.rmse(y, y_hat), 3)} model_summary["mse"] = np.round(model_summary["rmse"] ** 2, 3) if self.method == "classify": - accuracy = np.round(sk_metrics.accuracy_score(y, y_hat), 3) - f1_score = np.round(sk_metrics.f1_score(y, y_hat, - average='micro'), 3) - model_summary = {"accuracy": accuracy, - "f1": f1_score} + model_summary = classification_report(y_hat, + y, + output_dict=True, + zero_division=0) self.model_summary = model_summary def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: @@ -200,6 +199,7 @@ def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: Pandas dataframe containing predicted `y_var` and `x_var`. """ + df_op = df_predict.copy(deep=True) df_predict = pd.get_dummies(df_predict) df_predict_tmp = pd.DataFrame(columns=self.x_var) df_predict = pd.concat([df_predict_tmp, df_predict]) @@ -207,7 +207,5 @@ def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: df_predict = pd.DataFrame(self.norm.transform(df_predict[self.x_var])) df_predict.columns = self.x_var y_hat = self.model.predict(df_predict) - df_predict = df_predict.copy() - df_predict["y"] = y_hat - df_predict = df_predict[[self.y_var] + self.x_var] - return df_predict + df_op.insert(loc=0, column=self.y_var, value=y_hat) + return df_op diff --git a/mllib/lib/model.py b/mllib/lib/model.py index e8adf2a..c9057ed 100644 --- a/mllib/lib/model.py +++ b/mllib/lib/model.py @@ -56,7 +56,7 @@ class GLMNet(): Pandas dataframe containing `y_var` and `x_var` variables. - y_var : List[str] + y_var : str Dependant variable. @@ -108,12 +108,12 @@ class GLMNet(): def __init__(self, df: pd.DataFrame, - y_var: List[str], + y_var: str, x_var: List[str], strata: str = None, param: Dict = None): """Initialize variables for module ``GLMNet``.""" - self.df = df[y_var + x_var] + self.df = df[[y_var] + x_var] self.y_var = y_var self.x_var = x_var self.strata = strata @@ -137,7 +137,7 @@ def _fit(self) -> None: """Fit the best GLMNet model.""" train_x, test_x,\ train_y, test_y = split(self.df[self.x_var], - self.df[self.y_var], + self.df[[self.y_var]], test_size=self.param["test_perc"], random_state=self.param["seed"], stratify=self.strata) @@ -161,7 +161,7 @@ def _fit(self) -> None: def _compute_metrics(self): """Compute commonly used metrics to evaluate the model.""" - y = self.df[self.y_var].iloc[:, 0].values.tolist() + y = self.df[[self.y_var]].iloc[:, 0].values.tolist() y_hat = list(self.predict(self.df[self.x_var])["y"].values) model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), "mae": np.round(metrics.mae(y, y_hat), 3), @@ -188,5 +188,5 @@ def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: """ y_hat = self.model.predict(df_predict) df_predict = df_predict.copy() - df_predict["y"] = y_hat + df_predict.insert(loc=0, column=self.y_var, value=y_hat) return df_predict diff --git a/tests/test_knn.py b/tests/test_knn.py index e72d60c..b244270 100644 --- a/tests/test_knn.py +++ b/tests/test_knn.py @@ -65,40 +65,46 @@ def setUp(self): def test_knn_class(self): """KNN: Test for classification.""" + x_var = ["x1", "x2"] + y_var = "y" df_ip = pd.read_csv(path + "iris.csv") - df_ip = df_ip[["y", "x1", "x2"]] + df_ip = df_ip[[y_var] + x_var] df_train, df_test = split(df_ip, - stratify=df_ip["y"], + stratify=df_ip[y_var], test_size=0.1, random_state=42) - mod = KNN(df_train, "y", ["x1", "x2"], method="classify") - y_hat = mod.predict(df_test[["x1", "x2"]])["y"].tolist() - y = df_test["y"].values.tolist() + mod = KNN(df_train, y_var, x_var, method="classify") + y_hat = mod.predict(df_test[x_var])[y_var].tolist() + y = df_test[y_var].values.tolist() acc = round(sk_metrics.accuracy_score(y, y_hat), 2) self.assertGreaterEqual(acc, 0.93) @ignore_warnings def test_knn_reg(self): """KNN: Test for regression.""" + x_var = ["x1", "x2"] + y_var = "y" df_ip = pd.read_csv(path + "iris.csv") - df_ip = df_ip[["y", "x1", "x2"]] + df_ip = df_ip[[y_var] + x_var] df_train, df_test = split(df_ip, - stratify=df_ip["y"], + stratify=df_ip[y_var], test_size=0.1, random_state=42) - mod = KNN(df_train, "y", ["x1", "x2"], method="regression") - y_hat = mod.predict(df_test[["x1", "x2"]])["y"].tolist() - y = df_test["y"].values.tolist() + mod = KNN(df_train, y_var, x_var, method="regression") + y_hat = mod.predict(df_test[x_var])[y_var].tolist() + y = df_test[y_var].values.tolist() acc = round(sk_metrics.mean_squared_error(y, y_hat), 2) self.assertLessEqual(acc, 0.1) def test_knn_cat(self): - """KNN: Test for dummies in prediction dataset.""" + """KNN: Test for one-hot encoding in prediction.""" + x_var = ["x1", "x2"] + y_var = "y" df_ip = pd.read_csv(path + "iris.csv") - df_ip = df_ip[["y", "x1", "x5"]] + df_ip = df_ip[[y_var] + x_var] df_train = df_ip.iloc[1:140] - df_predict = df_ip.iloc[145:150] - mod = KNN(df_train, "y", ["x1", "x5"], method="classify") + df_predict = df_ip.iloc[145:150, 1:] + mod = KNN(df_train, y_var, x_var, method="classify") df_predict_columns = mod.predict(df_predict).columns.tolist() df_predict_columns.pop(0) self.assertGreaterEqual(mod.x_var, df_predict_columns) diff --git a/tests/test_model.py b/tests/test_model.py index cc05ec4..a4c7ac1 100644 --- a/tests/test_model.py +++ b/tests/test_model.py @@ -64,7 +64,7 @@ def test_known_equation(self): """GLMNet: Test a known equation.""" df_ip = pd.read_csv(path + "test_glmnet.csv") mod = GLMNet(df=df_ip, - y_var=["y"], + y_var="y", x_var=["x1", "x2", "x3"]) op = mod.opt self.assertEqual(np.round(op.get('intercept'), 0), 100.0) @@ -76,7 +76,7 @@ def test_predict_target_variable(self): """GLMNet: Test to predict a target variable.""" df_ip = pd.read_csv(path + "test_glmnet.csv") mod = GLMNet(df=df_ip, - y_var=["y"], + y_var="y", x_var=["x1", "x2", "x3"]) df_predict = pd.DataFrame({"x1": [10, 20], "x2": [5, 10], From d66749e1efdcd67df3ee5cb2956778f3c5c8dd5a Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sun, 26 Sep 2021 21:42:36 +0530 Subject: [PATCH 056/116] v0.4.0 --- logs/cov.out | 18 +++++++++--------- logs/pip.out | 2 +- mllib/__main__.py | 10 ++++------ mllib/lib/knn.py | 18 ++++++++++++++---- mllib/lib/model.py | 1 - requirements.txt | 2 +- 6 files changed, 29 insertions(+), 22 deletions(-) diff --git a/logs/cov.out b/logs/cov.out index 1fbdc4b..ecff896 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -1,9 +1,9 @@ -Name Stmts Miss Cover Missing ------------------------------------------------------ -mllib/__init__.py 7 0 100% -mllib/lib/__init__.py 7 0 100% -mllib/lib/cluster.py 103 0 100% -mllib/lib/knn.py 74 0 100% -mllib/lib/model.py 45 0 100% ------------------------------------------------------ -TOTAL 236 0 100% +Name Stmts Miss Cover Missing +----------------------------------------------------------------------------------------- +/media/ph33r/Data/Project/mllib/Git/mllib/__init__.py 7 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/__init__.py 7 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/cluster.py 103 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/knn.py 77 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/model.py 44 0 100% +----------------------------------------------------------------------------------------- +TOTAL 238 0 100% diff --git a/logs/pip.out b/logs/pip.out index 03fb79a..f61bf91 100644 --- a/logs/pip.out +++ b/logs/pip.out @@ -1 +1 @@ -./bin/run_tests.sh: line 78: pipreqs: command not found +INFO: Successfully saved requirements file in /media/ph33r/Data/Project/mllib/Git/requirements.txt diff --git a/mllib/__main__.py b/mllib/__main__.py index 4da6d36..4077d8e 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -80,8 +80,8 @@ start_t = time.time_ns() df_ip = pd.read_csv(path + "input/test_glmnet.csv") glm_mod = GLMNet(df=df_ip, - y_var=["y"], - x_var=["x1", "x3"]) + y_var="y", + x_var=["x1", "x2"]) print("\nGLMNet\n") for k, v in glm_mod.model_summary.items(): print(k, str(v).rjust(69 - len(k))) @@ -95,10 +95,8 @@ df_test = df_ip.drop(df_train.index) mod = KNN(df_train, "y", ["x1", "x2"], method="classify") print("\nKNN\n") - y_hat = mod.predict(df_test[["x1", "x2"]])["y"].tolist() - y = df_test["y"].values.tolist() - accuracy = round(len([i for i, j in zip(y, y_hat) if i == j]) / len(y), 2) - print("Accuracy:", accuracy) + for k, v in mod.model_summary.items(): + print(k, str(v).rjust(69 - len(k))) print(elapsed_time("Time", start_t), sep="\n") # --- EOF diff --git a/mllib/lib/knn.py b/mllib/lib/knn.py index 9943baf..284b718 100644 --- a/mllib/lib/knn.py +++ b/mllib/lib/knn.py @@ -87,6 +87,12 @@ class KNN(): Final optimal model. + model_summary : Dict + + Model summary containing key metrics like R-squared, RMSE, MSE, MAE, + MAPE for regression and Accuracy, Precision, Recall, F1 score for + classification. + Methods ------- predict @@ -177,10 +183,14 @@ def _compute_metrics(self): "rmse": np.round(metrics.rmse(y, y_hat), 3)} model_summary["mse"] = np.round(model_summary["rmse"] ** 2, 3) if self.method == "classify": - model_summary = classification_report(y_hat, - y, - output_dict=True, - zero_division=0) + class_report = classification_report(y_hat, + y, + output_dict=True, + zero_division=0) + model_summary = class_report["weighted avg"] + model_summary["accuracy"] = class_report["accuracy"] + model_summary = {key: round(model_summary[key], 3) + for key in model_summary} self.model_summary = model_summary def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: diff --git a/mllib/lib/model.py b/mllib/lib/model.py index c9057ed..efa6afc 100644 --- a/mllib/lib/model.py +++ b/mllib/lib/model.py @@ -187,6 +187,5 @@ def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: """ y_hat = self.model.predict(df_predict) - df_predict = df_predict.copy() df_predict.insert(loc=0, column=self.y_var, value=y_hat) return df_predict diff --git a/requirements.txt b/requirements.txt index cf8b072..66d1dec 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,4 +1,4 @@ -pandas==1.1.3 Cython==0.29.15 numpy==1.19.5 +pandas==1.1.3 scikit_learn==1.0 From d17f82aa0d137f630732f6b55d9d1ba461c1984e Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Mon, 27 Sep 2021 10:59:23 +0530 Subject: [PATCH 057/116] v0.4.0 changelog: - knn classification's default scorer changed to f1_weighted - removed some redundant codes --- logs/cov.out | 4 ++-- logs/pylint/lib-knn-py.out | 8 ++++---- mllib/__main__.py | 5 +---- mllib/lib/knn.py | 26 +++++++++----------------- requirements.txt | 2 +- 5 files changed, 17 insertions(+), 28 deletions(-) diff --git a/logs/cov.out b/logs/cov.out index ecff896..70db958 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -3,7 +3,7 @@ Name Stmts Miss Cover /media/ph33r/Data/Project/mllib/Git/mllib/__init__.py 7 0 100% /media/ph33r/Data/Project/mllib/Git/mllib/lib/__init__.py 7 0 100% /media/ph33r/Data/Project/mllib/Git/mllib/lib/cluster.py 103 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/knn.py 77 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/knn.py 70 0 100% /media/ph33r/Data/Project/mllib/Git/mllib/lib/model.py 44 0 100% ----------------------------------------------------------------------------------------- -TOTAL 238 0 100% +TOTAL 231 0 100% diff --git a/logs/pylint/lib-knn-py.out b/logs/pylint/lib-knn-py.out index 840218f..28f2b90 100644 --- a/logs/pylint/lib-knn-py.out +++ b/logs/pylint/lib-knn-py.out @@ -1,8 +1,8 @@ ************* Module mllib.lib.knn -knn.py:174:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -knn.py:175:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -knn.py:176:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -knn.py:177:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:172:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:173:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:174:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:175:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/mllib/__main__.py b/mllib/__main__.py index 4077d8e..7cbcca8 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -90,10 +90,7 @@ # --- KNN start_t = time.time_ns() df_ip = pd.read_csv(path + "input/iris.csv") - df_ip = df_ip[["y", "x1", "x2"]] - df_train = df_ip.sample(frac=0.8, random_state=42) - df_test = df_ip.drop(df_train.index) - mod = KNN(df_train, "y", ["x1", "x2"], method="classify") + mod = KNN(df_ip, "y", ["x1", "x2", "x3", "x4"], method="classify") print("\nKNN\n") for k, v in mod.model_summary.items(): print(k, str(v).rjust(69 - len(k))) diff --git a/mllib/lib/knn.py b/mllib/lib/knn.py index 284b718..4169387 100644 --- a/mllib/lib/knn.py +++ b/mllib/lib/knn.py @@ -144,8 +144,10 @@ def _fit(self) -> Dict[str, Any]: if self.method == "classify": gs = GridSearchCV(estimator=sn.KNeighborsClassifier(), param_grid=self.param, - scoring='accuracy', + scoring='f1_weighted', verbose=0, + refit=True, + return_train_score=True, cv=self.k_fold, n_jobs=-1) elif self.method == "regression": @@ -153,29 +155,19 @@ def _fit(self) -> Dict[str, Any]: param_grid=self.param, scoring='neg_root_mean_squared_error', verbose=0, + refit=True, + return_train_score=True, cv=self.k_fold, n_jobs=-1) gs_op = gs.fit(self.df[self.x_var], self.df[self.y_var]) - opt_k = gs_op.best_params_.get("n_neighbors") - weight = gs_op.best_params_.get("weights") - metric = gs_op.best_params_.get("metric") - if self.method == "classify": - model = sn.KNeighborsClassifier(n_neighbors=opt_k, - weights=weight, - metric=metric) - elif self.method == "regression": - model = sn.KNeighborsRegressor(n_neighbors=opt_k, - weights=weight, - metric=metric) - self.model = model.fit(self.df[self.x_var], - self.df[self.y_var]) + self.model = gs_op return gs_op.best_params_ def _compute_metrics(self): """Compute commonly used metrics to evaluate the model.""" y = self.df.loc[:, self.y_var].values.tolist() - y_hat = list(self.predict(self.df[self.x_var])[self.y_var].values) + y_hat = list(self.model.predict(self.df[self.x_var])) if self.method == "regression": model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), "mae": np.round(metrics.mae(y, y_hat), 3), @@ -183,8 +175,8 @@ def _compute_metrics(self): "rmse": np.round(metrics.rmse(y, y_hat), 3)} model_summary["mse"] = np.round(model_summary["rmse"] ** 2, 3) if self.method == "classify": - class_report = classification_report(y_hat, - y, + class_report = classification_report(y, + y_hat, output_dict=True, zero_division=0) model_summary = class_report["weighted avg"] diff --git a/requirements.txt b/requirements.txt index 66d1dec..ef333fe 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,4 +1,4 @@ -Cython==0.29.15 numpy==1.19.5 pandas==1.1.3 +Cython==0.29.15 scikit_learn==1.0 From d0a5e1e226b3b843a4da8735695b0a93e9835958 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Mon, 27 Sep 2021 11:14:46 +0530 Subject: [PATCH 058/116] v0.4.0 --- mllib/lib/knn.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/mllib/lib/knn.py b/mllib/lib/knn.py index 4169387..9e98369 100644 --- a/mllib/lib/knn.py +++ b/mllib/lib/knn.py @@ -87,6 +87,10 @@ class KNN(): Final optimal model. + best_params_ : Dict + + Best parameters amongst the given parameters. + model_summary : Dict Model summary containing key metrics like R-squared, RMSE, MSE, MAE, From 9c67779f9996fec5d5864f74cf57b6387818411f Mon Sep 17 00:00:00 2001 From: MadhuTangudu Date: Mon, 27 Sep 2021 13:36:36 +0530 Subject: [PATCH 059/116] v0.4.0 changelog: - local run test --- logs/cov.out | 18 +++++++++--------- logs/pip.out | 2 +- logs/pylint/lib-knn-py.out | 8 ++++---- mllib/lib/knn.py | 2 +- 4 files changed, 15 insertions(+), 15 deletions(-) diff --git a/logs/cov.out b/logs/cov.out index 70db958..f0a3c4b 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -1,9 +1,9 @@ -Name Stmts Miss Cover Missing ------------------------------------------------------------------------------------------ -/media/ph33r/Data/Project/mllib/Git/mllib/__init__.py 7 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/__init__.py 7 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/cluster.py 103 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/knn.py 70 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/model.py 44 0 100% ------------------------------------------------------------------------------------------ -TOTAL 231 0 100% +Name Stmts Miss Cover Missing +----------------------------------------------------- +mllib/__init__.py 7 0 100% +mllib/lib/__init__.py 7 0 100% +mllib/lib/cluster.py 103 0 100% +mllib/lib/knn.py 70 0 100% +mllib/lib/model.py 44 0 100% +----------------------------------------------------- +TOTAL 231 0 100% diff --git a/logs/pip.out b/logs/pip.out index f61bf91..03fb79a 100644 --- a/logs/pip.out +++ b/logs/pip.out @@ -1 +1 @@ -INFO: Successfully saved requirements file in /media/ph33r/Data/Project/mllib/Git/requirements.txt +./bin/run_tests.sh: line 78: pipreqs: command not found diff --git a/logs/pylint/lib-knn-py.out b/logs/pylint/lib-knn-py.out index 28f2b90..ccf9413 100644 --- a/logs/pylint/lib-knn-py.out +++ b/logs/pylint/lib-knn-py.out @@ -1,8 +1,8 @@ ************* Module mllib.lib.knn -knn.py:172:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -knn.py:173:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -knn.py:174:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -knn.py:175:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:176:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:177:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:178:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:179:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/mllib/lib/knn.py b/mllib/lib/knn.py index 9e98369..5b14b05 100644 --- a/mllib/lib/knn.py +++ b/mllib/lib/knn.py @@ -134,7 +134,7 @@ def __init__(self, self._compute_metrics() def _pre_process(self): - """Pre-process the data, one hot encoding and Normalizing.""" + """Pre-process the data, one hot encoding and normalizing.""" df_ip_x = pd.get_dummies(self.df[self.x_var]) self.x_var = list(df_ip_x.columns) self.norm = MinMaxScaler() From d7c73bbd919200393f4f5080e75481370745f1a8 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Mon, 27 Sep 2021 16:54:53 +0530 Subject: [PATCH 060/116] v0.4.0 changelog: - added RandomForest module with associated tests --- logs/cov.out | 19 +- logs/pip.out | 2 +- logs/pylint/lib-random_forest-py.out | 9 + logs/pylint/tests-test_random_forest-py.out | 4 + mllib/lib/knn.py | 6 +- mllib/lib/random_forest.py | 187 ++++++++++++++++++++ requirements.txt | 2 +- tests/test_knn.py | 4 +- tests/test_random_forest.py | 105 +++++++++++ 9 files changed, 322 insertions(+), 16 deletions(-) create mode 100644 logs/pylint/lib-random_forest-py.out create mode 100644 logs/pylint/tests-test_random_forest-py.out create mode 100644 mllib/lib/random_forest.py create mode 100644 tests/test_random_forest.py diff --git a/logs/cov.out b/logs/cov.out index f0a3c4b..4dbc976 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -1,9 +1,10 @@ -Name Stmts Miss Cover Missing ------------------------------------------------------ -mllib/__init__.py 7 0 100% -mllib/lib/__init__.py 7 0 100% -mllib/lib/cluster.py 103 0 100% -mllib/lib/knn.py 70 0 100% -mllib/lib/model.py 44 0 100% ------------------------------------------------------ -TOTAL 231 0 100% +Name Stmts Miss Cover Missing +---------------------------------------------------------------------------------------------- +/media/ph33r/Data/Project/mllib/Git/mllib/__init__.py 7 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/__init__.py 7 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/cluster.py 103 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/knn.py 70 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/model.py 44 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/random_forest.py 61 0 100% +---------------------------------------------------------------------------------------------- +TOTAL 292 0 100% diff --git a/logs/pip.out b/logs/pip.out index 03fb79a..f61bf91 100644 --- a/logs/pip.out +++ b/logs/pip.out @@ -1 +1 @@ -./bin/run_tests.sh: line 78: pipreqs: command not found +INFO: Successfully saved requirements file in /media/ph33r/Data/Project/mllib/Git/requirements.txt diff --git a/logs/pylint/lib-random_forest-py.out b/logs/pylint/lib-random_forest-py.out new file mode 100644 index 0000000..ade91ae --- /dev/null +++ b/logs/pylint/lib-random_forest-py.out @@ -0,0 +1,9 @@ +************* Module mllib.lib.random_forest +random_forest.py:146:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +random_forest.py:147:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +random_forest.py:148:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +random_forest.py:149:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) + +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) + diff --git a/logs/pylint/tests-test_random_forest-py.out b/logs/pylint/tests-test_random_forest-py.out new file mode 100644 index 0000000..d7495ee --- /dev/null +++ b/logs/pylint/tests-test_random_forest-py.out @@ -0,0 +1,4 @@ + +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) + diff --git a/mllib/lib/knn.py b/mllib/lib/knn.py index 5b14b05..ba5d08d 100644 --- a/mllib/lib/knn.py +++ b/mllib/lib/knn.py @@ -189,7 +189,7 @@ def _compute_metrics(self): for key in model_summary} self.model_summary = model_summary - def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: + def predict(self, x_predict: pd.DataFrame) -> pd.DataFrame: """Predict y_var/target variable. Parameters @@ -205,8 +205,8 @@ def predict(self, df_predict: pd.DataFrame) -> pd.DataFrame: Pandas dataframe containing predicted `y_var` and `x_var`. """ - df_op = df_predict.copy(deep=True) - df_predict = pd.get_dummies(df_predict) + df_op = x_predict.copy(deep=True) + df_predict = pd.get_dummies(x_predict) df_predict_tmp = pd.DataFrame(columns=self.x_var) df_predict = pd.concat([df_predict_tmp, df_predict]) df_predict = df_predict.fillna(0) diff --git a/mllib/lib/random_forest.py b/mllib/lib/random_forest.py new file mode 100644 index 0000000..33685ab --- /dev/null +++ b/mllib/lib/random_forest.py @@ -0,0 +1,187 @@ +""" +Random Forest module. + +**Available routines:** + +- class ``RandomForest``: Builds Random Forest model using cross validation. + +Credits +------- +:: + + Authors: + - Diptesh + - Madhu + + Date: Sep 27, 2021 +""" + +# pylint: disable=invalid-name +# pylint: disable=R0902,R0903,R0913,C0413 + +from typing import List, Dict, Any + +import re +import sys +from inspect import getsourcefile +from os.path import abspath + +import pandas as pd +import numpy as np +import sklearn.ensemble as rf + +from sklearn.model_selection import GridSearchCV +from sklearn.metrics import classification_report + +path = abspath(getsourcefile(lambda: 0)) +path = re.sub(r"(.+\/)(.+.py)", "\\1", path) +sys.path.insert(0, path) + +import metrics # noqa: F841 + + +class RandomForest(): + """Random forest module. + + Objective: + - Build + `Random forest `_ + model and determine optimal k + + Parameters + ---------- + df : pandas.DataFrame + + Pandas dataframe containing the `y_var` and `x_var` + + y_var : str + + Dependant variable + + x_var : List[str] + + Independant variables + + method : str, optional + + Can be either `classify` or `regression` (the default is regression) + + k_fold : int, optional + + Number of cross validations folds (the default is 5) + + param : dict, optional + + Random forest parameters (the default is None). + In case of None, the parameters will default to:: + + bootstrap: [True] + max_depth: [1, len(x_var)] + n_estimators: [1000] + max_features: ["sqrt", "auto"] + min_samples_leaf: [2, 5] + + Returns + ------- + model : object + + Final optimal model. + + best_params_ : Dict + + Best parameters amongst the given parameters. + + model_summary : Dict + + Model summary containing key metrics like R-squared, RMSE, MSE, MAE, + MAPE for regression and Accuracy, Precision, Recall, F1 score for + classification. + + Methods + ------- + predict + + Example + ------- + >>> mod = RandomForest(df=df_ip, y_var="y", x_var=["x1", "x2", "x3"]) + >>> df_op = mod.predict(df_predict) + + """ + + def __init__(self, + df: pd.DataFrame, + y_var: str, + x_var: List[str], + method: str = "regression", + k_fold: int = 5, + param: Dict = None): + """Initialize variables for module ``RandomForest``.""" + self.y_var = y_var + self.x_var = x_var + self.df = df.reset_index(drop=True) + self.method = method + self.model = None + self.k_fold = k_fold + self.seed = 1 + if param is None: + param = {"bootstrap": [True], + "max_depth": list(range(1, len(x_var))), + "n_estimators": [1000]} + if method == "classify": + param["max_features"] = ["sqrt"] + param["min_samples_leaf"] = [2] + elif method == "regression": + param["max_features"] = [int(len(x_var) / 3)] + param["min_samples_leaf"] = [5] + self.param = param + self.best_params_ = self._fit() + self.model_summary = None + self._compute_metrics() + + def _compute_metrics(self): + """Compute commonly used metrics to evaluate the model.""" + y = self.df.loc[:, self.y_var].values.tolist() + y_hat = list(self.model.predict(self.df[self.x_var])) + if self.method == "regression": + model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), + "mae": np.round(metrics.mae(y, y_hat), 3), + "mape": np.round(metrics.mape(y, y_hat), 3), + "rmse": np.round(metrics.rmse(y, y_hat), 3)} + model_summary["mse"] = np.round(model_summary["rmse"] ** 2, 3) + if self.method == "classify": + class_report = classification_report(y, + y_hat, + output_dict=True, + zero_division=0) + model_summary = class_report["weighted avg"] + model_summary["accuracy"] = class_report["accuracy"] + model_summary = {key: round(model_summary[key], 3) + for key in model_summary} + self.model_summary = model_summary + + def _fit(self) -> Dict[str, Any]: + """Fit RandomForest model.""" + if self.method == "classify": + tmp_model = rf.RandomForestClassifier(oob_score=True, + random_state=self.seed) + elif self.method == "regression": + tmp_model = rf.RandomForestRegressor(oob_score=True, + random_state=self.seed) + gs = GridSearchCV(estimator=tmp_model, + param_grid=self.param, + n_jobs=-1, + verbose=0, + refit=True, + return_train_score=True, + cv=self.k_fold) + gs_op = gs.fit(self.df[self.x_var], + self.df[self.y_var]) + self.model = gs_op + return gs_op.best_params_ + + def predict(self, x_predict: pd.DataFrame) -> pd.DataFrame: + """Predict values.""" + df_op = x_predict.copy(deep=True) + y_hat = self.model.predict(x_predict) + df_op.insert(loc=0, column=self.y_var, value=y_hat) + return df_op diff --git a/requirements.txt b/requirements.txt index ef333fe..86af4d0 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,4 +1,4 @@ -numpy==1.19.5 pandas==1.1.3 +numpy==1.19.5 Cython==0.29.15 scikit_learn==1.0 diff --git a/tests/test_knn.py b/tests/test_knn.py index b244270..a4c0547 100644 --- a/tests/test_knn.py +++ b/tests/test_knn.py @@ -93,8 +93,8 @@ def test_knn_reg(self): mod = KNN(df_train, y_var, x_var, method="regression") y_hat = mod.predict(df_test[x_var])[y_var].tolist() y = df_test[y_var].values.tolist() - acc = round(sk_metrics.mean_squared_error(y, y_hat), 2) - self.assertLessEqual(acc, 0.1) + mse = round(sk_metrics.mean_squared_error(y, y_hat), 2) + self.assertLessEqual(mse, 0.1) def test_knn_cat(self): """KNN: Test for one-hot encoding in prediction.""" diff --git a/tests/test_random_forest.py b/tests/test_random_forest.py new file mode 100644 index 0000000..f0127f3 --- /dev/null +++ b/tests/test_random_forest.py @@ -0,0 +1,105 @@ +""" +Test suite module for ``random_forest``. + +Credits +------- +:: + + Authors: + - Diptesh + - Madhu + + Date: Sep 27, 2021 +""" + +# pylint: disable=invalid-name +# pylint: disable=wrong-import-position + +import unittest +import warnings +import re +import sys + +from inspect import getsourcefile +from os.path import abspath + +import pandas as pd + +from sklearn.model_selection import train_test_split as split +from sklearn import metrics as sk_metrics + +# Set base path +path = abspath(getsourcefile(lambda: 0)) +path = re.sub(r"(.+)(\/tests.*)", "\\1", path) + +sys.path.insert(0, path) + +from mllib.lib.random_forest import RandomForest # noqa: F841 + +# ============================================================================= +# --- DO NOT CHANGE ANYTHING FROM HERE +# ============================================================================= + +path = path + "/data/input/" + +# ============================================================================= +# --- User defined functions +# ============================================================================= + + +def ignore_warnings(test_func): + """Suppress warnings.""" + + def do_test(self, *args, **kwargs): + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + test_func(self, *args, **kwargs) + return do_test + + +class Test_Knn(unittest.TestCase): + """Test suite for module ``KNN``.""" + + def setUp(self): + """Set up for module ``KNN``.""" + + def test_rf_class(self): + """RandomForest: Test for classification.""" + x_var = ["x1", "x2", "x3", "x4"] + y_var = "y" + df_ip = pd.read_csv(path + "iris.csv") + df_ip = df_ip[[y_var] + x_var] + df_train, df_test = split(df_ip, + stratify=df_ip[y_var], + test_size=0.2, + random_state=42) + mod = RandomForest(df_train, y_var, x_var, method="classify") + y_hat = mod.predict(df_test[x_var])[y_var].tolist() + y = df_test[y_var].values.tolist() + acc = round(sk_metrics.accuracy_score(y, y_hat), 2) + self.assertGreaterEqual(acc, 0.93) + + @ignore_warnings + def test_knn_reg(self): + """RandomForest: Test for regression.""" + x_var = ["x1", "x2", "x3", "x4"] + y_var = "y" + df_ip = pd.read_csv(path + "iris.csv") + df_ip = df_ip[[y_var] + x_var] + df_train, df_test = split(df_ip, + stratify=df_ip[y_var], + test_size=0.2, + random_state=42) + mod = RandomForest(df_train, y_var, x_var, method="regression") + y_hat = mod.predict(df_test[x_var])[y_var].tolist() + y = df_test[y_var].values.tolist() + mse = round(sk_metrics.mean_squared_error(y, y_hat), 2) + self.assertLessEqual(mse, 0.1) + + +# ============================================================================= +# --- Main +# ============================================================================= + +if __name__ == '__main__': + unittest.main() From 38787dfc6c1bf273d3bb3f4e99931b90dbc6dbac Mon Sep 17 00:00:00 2001 From: MadhuTangudu Date: Mon, 27 Sep 2021 19:48:02 +0530 Subject: [PATCH 061/116] v0.4.0 --- mllib/lib/xgboost.py | 199 ++++++++++++++++++++++++++++++++++++++++++ tests/test_xgboost.py | 105 ++++++++++++++++++++++ 2 files changed, 304 insertions(+) create mode 100644 mllib/lib/xgboost.py create mode 100644 tests/test_xgboost.py diff --git a/mllib/lib/xgboost.py b/mllib/lib/xgboost.py new file mode 100644 index 0000000..9d82dff --- /dev/null +++ b/mllib/lib/xgboost.py @@ -0,0 +1,199 @@ +""" +Random Forest module. + +**Available routines:** + +- class ``XGBoost``: Builds XGBoost model using cross validation. + +Credits +------- +:: + + Authors: + - Diptesh + - Madhu + + Date: Sep 27, 2021 +""" + +# pylint: disable=invalid-name +# pylint: disable=R0902,R0903,R0913,C0413 + +from typing import List, Dict, Any + +import re +import sys +from inspect import getsourcefile +from os.path import abspath + +import pandas as pd +import numpy as np +import xgboost as xgb + +from sklearn.model_selection import GridSearchCV +from sklearn.metrics import classification_report + +path = abspath(getsourcefile(lambda: 0)) +path = re.sub(r"(.+\/)(.+.py)", "\\1", path) +sys.path.insert(0, path) + +import metrics # noqa: F841 + + +class XGBoost(): + """Random forest module. + + Objective: + - Build + `XGBoost < https://en.wikipedia.org/wiki/XGBoost >' + model and determine optimal k + + Parameters + ---------- + df : pandas.DataFrame + + Pandas dataframe containing the `y_var` and `x_var` + + y_var : str + + Dependant variable + + x_var : List[str] + + Independant variables + + method : str, optional + + Can be either `classify` or `regression` (the default is regression) + + k_fold : int, optional + + Number of cross validations folds (the default is 5) + + param : dict, optional + + XGBoost parameters (the default is None). + In case of None, the parameters will default to:: + + n_estimators: [1000] + learning_rate: [i/1000 for i in range(2, 11)] + subsample: [i/10 for i in range(5, 10)] + colsample_bytree: [i/10 for i in range(1, 11)] + min_child_weight: list(range(1, 11)) + max_depth: [1, len(x_var)] + gamma: list(range(1, len(x_var))) + objective: ["reg:squarederror"] + + Returns + ------- + model : object + + Final optimal model. + + best_params_ : Dict + + Best parameters amongst the given parameters. + + model_summary : Dict + + Model summary containing key metrics like R-squared, RMSE, MSE, MAE, + MAPE for regression and Accuracy, Precision, Recall, F1 score for + classification. + + Methods + ------- + predict + + Example + ------- + >>> mod = XGBoost(df=df_ip, y_var="y", x_var=["x1", "x2", "x3"]) + >>> df_op = mod.predict(df_predict) + + """ + + def __init__(self, + df: pd.DataFrame, + y_var: str, + x_var: List[str], + method: str = "regression", + k_fold: int = 5, + param: Dict = None): + """Initialize variables for module ``XGBoost``.""" + self.y_var = y_var + self.x_var = x_var + self.df = df.reset_index(drop=True) + self.method = method + self.model = None + self.k_fold = k_fold + self.seed = 1 + if param is None: + param = {"n_estimators": [1000], + "learning_rate": [i/1000 for i in range(2, 11)], + "subsample": [i/10 for i in range(5, 10)], + "colsample_bytree": [i/10 for i in range(1, 11)], + "min_child_weight": list(range(1, 11)), + "max_depth": list(range(1, len(x_var))), + "gamma": list(range(0, 21)), + } + if method == "classify": + param["objective"] = ["binary:logistic"] + elif method == "regression": + param["objective"] = ["reg:squarederror"] + self.param = param + self.best_params_ = self._fit() + self.model_summary = None + self._compute_metrics() + + def _compute_metrics(self): + """Compute commonly used metrics to evaluate the model.""" + y = self.df.loc[:, self.y_var].values.tolist() + y_hat = list(self.model.predict(self.df[self.x_var])) + if self.method == "regression": + model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), + "mae": np.round(metrics.mae(y, y_hat), 3), + "mape": np.round(metrics.mape(y, y_hat), 3), + "rmse": np.round(metrics.rmse(y, y_hat), 3)} + model_summary["mse"] = np.round(model_summary["rmse"] ** 2, 3) + if self.method == "classify": + class_report = classification_report(y, + y_hat, + output_dict=True, + zero_division=0) + model_summary = class_report["weighted avg"] + model_summary["accuracy"] = class_report["accuracy"] + model_summary = {key: round(model_summary[key], 3) + for key in model_summary} + self.model_summary = model_summary + + def _fit(self) -> Dict[str, Any]: + """Fit XGBoost model.""" + if self.method == "classify": + tmp_model = xgb.XGBClassifier(n_jobs=-1, + verbosity=0, + silent=True, + random_state=self.seed, + seed=self.seed) + elif self.method == "regression": + tmp_model = xgb.XGBRegressor(n_jobs=-1, + verbosity=0, + silent=True, + random_state=self.seed, + seed=self.seed) + gs = GridSearchCV(estimator=tmp_model, + param_grid=self.param, + n_jobs=-1, + verbose=0, + refit=True, + return_train_score=True, + cv=self.k_fold) + gs_op = gs.fit(self.df[self.x_var], + self.df[self.y_var]) + self.model = gs_op + return gs_op.best_params_ + + def predict(self, x_predict: pd.DataFrame) -> pd.DataFrame: + """Predict values.""" + df_op = x_predict.copy(deep=True) + y_hat = self.model.predict(x_predict) + df_op.insert(loc=0, column=self.y_var, value=y_hat) + return df_op diff --git a/tests/test_xgboost.py b/tests/test_xgboost.py new file mode 100644 index 0000000..d155db0 --- /dev/null +++ b/tests/test_xgboost.py @@ -0,0 +1,105 @@ +""" +Test suite module for ``XGBoost``. + +Credits +------- +:: + + Authors: + - Diptesh + - Madhu + + Date: Sep 27, 2021 +""" + +# pylint: disable=invalid-name +# pylint: disable=wrong-import-position + +import unittest +import warnings +import re +import sys + +from inspect import getsourcefile +from os.path import abspath + +import pandas as pd + +from sklearn.model_selection import train_test_split as split +from sklearn import metrics as sk_metrics + +# Set base path +path = abspath(getsourcefile(lambda: 0)) +path = re.sub(r"(.+)(\/tests.*)", "\\1", path) + +sys.path.insert(0, path) + +from mllib.lib.xgboost import XGBoost # noqa: F841 + +# ============================================================================= +# --- DO NOT CHANGE ANYTHING FROM HERE +# ============================================================================= + +path = path + "/data/input/" + +# ============================================================================= +# --- User defined functions +# ============================================================================= + + +def ignore_warnings(test_func): + """Suppress warnings.""" + + def do_test(self, *args, **kwargs): + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + test_func(self, *args, **kwargs) + return do_test + + +class Test_XGBoost(unittest.TestCase): + """Test suite for module ``XGBoost``.""" + + def setUp(self): + """Set up for module ``XGBoost``.""" + + def test_rf_class(self): + """XGBoost: Test for classification.""" + x_var = ["x1", "x2", "x3", "x4"] + y_var = "y" + df_ip = pd.read_csv(path + "iris.csv") + df_ip = df_ip[[y_var] + x_var] + df_train, df_test = split(df_ip, + stratify=df_ip[y_var], + test_size=0.2, + random_state=42) + mod = XGBoost(df_train, y_var, x_var, method="classify") + y_hat = mod.predict(df_test[x_var])[y_var].tolist() + y = df_test[y_var].values.tolist() + acc = round(sk_metrics.accuracy_score(y, y_hat), 2) + self.assertGreaterEqual(acc, 0.93) + + @ignore_warnings + def test_knn_reg(self): + """XGBoost: Test for regression.""" + x_var = ["x1", "x2", "x3", "x4"] + y_var = "y" + df_ip = pd.read_csv(path + "iris.csv") + df_ip = df_ip[[y_var] + x_var] + df_train, df_test = split(df_ip, + stratify=df_ip[y_var], + test_size=0.2, + random_state=42) + mod = XGBoost(df_train, y_var, x_var, method="regression") + y_hat = mod.predict(df_test[x_var])[y_var].tolist() + y = df_test[y_var].values.tolist() + mse = round(sk_metrics.mean_squared_error(y, y_hat), 2) + self.assertLessEqual(mse, 0.1) + + +# ============================================================================= +# --- Main +# ============================================================================= + +if __name__ == '__main__': + unittest.main() From 352c968d165a4a3fee63bffcdaf86983addd938d Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Mon, 27 Sep 2021 23:04:38 +0530 Subject: [PATCH 062/116] v0.4.0 changelog: - added XGBoost module with associated tests --- logs/cov.out | 3 +- logs/pylint/lib-boost-py.out | 9 ++++ logs/pylint/tests-test_boost-py.out | 4 ++ mllib/lib/{xgboost.py => boost.py} | 52 ++++++++++++------------ requirements.txt | 3 +- tests/{test_xgboost.py => test_boost.py} | 21 ++++++---- tests/test_random_forest.py | 8 ++-- 7 files changed, 61 insertions(+), 39 deletions(-) create mode 100644 logs/pylint/lib-boost-py.out create mode 100644 logs/pylint/tests-test_boost-py.out rename mllib/lib/{xgboost.py => boost.py} (77%) rename tests/{test_xgboost.py => test_boost.py} (82%) diff --git a/logs/cov.out b/logs/cov.out index 4dbc976..5117727 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -2,9 +2,10 @@ Name Stmts Miss C ---------------------------------------------------------------------------------------------- /media/ph33r/Data/Project/mllib/Git/mllib/__init__.py 7 0 100% /media/ph33r/Data/Project/mllib/Git/mllib/lib/__init__.py 7 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/boost.py 53 0 100% /media/ph33r/Data/Project/mllib/Git/mllib/lib/cluster.py 103 0 100% /media/ph33r/Data/Project/mllib/Git/mllib/lib/knn.py 70 0 100% /media/ph33r/Data/Project/mllib/Git/mllib/lib/model.py 44 0 100% /media/ph33r/Data/Project/mllib/Git/mllib/lib/random_forest.py 61 0 100% ---------------------------------------------------------------------------------------------- -TOTAL 292 0 100% +TOTAL 345 0 100% diff --git a/logs/pylint/lib-boost-py.out b/logs/pylint/lib-boost-py.out new file mode 100644 index 0000000..aed4fa6 --- /dev/null +++ b/logs/pylint/lib-boost-py.out @@ -0,0 +1,9 @@ +************* Module mllib.lib.boost +boost.py:152:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +boost.py:153:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +boost.py:154:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +boost.py:155:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) + +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) + diff --git a/logs/pylint/tests-test_boost-py.out b/logs/pylint/tests-test_boost-py.out new file mode 100644 index 0000000..d7495ee --- /dev/null +++ b/logs/pylint/tests-test_boost-py.out @@ -0,0 +1,4 @@ + +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) + diff --git a/mllib/lib/xgboost.py b/mllib/lib/boost.py similarity index 77% rename from mllib/lib/xgboost.py rename to mllib/lib/boost.py index 9d82dff..64dd6cd 100644 --- a/mllib/lib/xgboost.py +++ b/mllib/lib/boost.py @@ -1,5 +1,5 @@ """ -Random Forest module. +XGBoost module. **Available routines:** @@ -30,7 +30,7 @@ import numpy as np import xgboost as xgb -from sklearn.model_selection import GridSearchCV +from sklearn.model_selection import RandomizedSearchCV from sklearn.metrics import classification_report path = abspath(getsourcefile(lambda: 0)) @@ -41,11 +41,11 @@ class XGBoost(): - """Random forest module. + """XGBoost module. Objective: - Build - `XGBoost < https://en.wikipedia.org/wiki/XGBoost >' + `XGBoost `_ model and determine optimal k Parameters @@ -81,8 +81,8 @@ class XGBoost(): colsample_bytree: [i/10 for i in range(1, 11)] min_child_weight: list(range(1, 11)) max_depth: [1, len(x_var)] - gamma: list(range(1, len(x_var))) - objective: ["reg:squarederror"] + gamma: list(np.arange(0.0, 1.1, 0.25)) + objective: ["reg:squarederror", "binary:logistic"] Returns ------- @@ -126,15 +126,15 @@ def __init__(self, self.model = None self.k_fold = k_fold self.seed = 1 - if param is None: + if param is None: # pragma: no cover param = {"n_estimators": [1000], - "learning_rate": [i/1000 for i in range(2, 11)], - "subsample": [i/10 for i in range(5, 10)], - "colsample_bytree": [i/10 for i in range(1, 11)], - "min_child_weight": list(range(1, 11)), - "max_depth": list(range(1, len(x_var))), - "gamma": list(range(0, 21)), - } + "learning_rate": [0.001, 0.01, 0.1, 0.2, 0.3], + "subsample": [0.5, 0.6, 0.7, 0.8, 0.9, 1.0], + "colsample_bytree": [0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0], + "colsample_bylevel": [0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0], + "min_child_weight": [0.5, 1.0, 3.0, 5.0, 7.0, 10.0], + "max_depth": list(range(1, len(x_var))), + "gamma": [0, 0.25, 0.5, 1.0]} if method == "classify": param["objective"] = ["binary:logistic"] elif method == "regression": @@ -169,23 +169,25 @@ def _fit(self) -> Dict[str, Any]: """Fit XGBoost model.""" if self.method == "classify": tmp_model = xgb.XGBClassifier(n_jobs=-1, - verbosity=0, - silent=True, - random_state=self.seed, - seed=self.seed) + verbosity=0, + silent=True, + random_state=self.seed, + seed=self.seed, + use_label_encoder=False) elif self.method == "regression": tmp_model = xgb.XGBRegressor(n_jobs=-1, verbosity=0, silent=True, random_state=self.seed, seed=self.seed) - gs = GridSearchCV(estimator=tmp_model, - param_grid=self.param, - n_jobs=-1, - verbose=0, - refit=True, - return_train_score=True, - cv=self.k_fold) + gs = RandomizedSearchCV(estimator=tmp_model, + param_distributions=self.param, + n_jobs=-1, + verbose=0, + refit=True, + return_train_score=True, + cv=self.k_fold, + random_state=self.seed) gs_op = gs.fit(self.df[self.x_var], self.df[self.y_var]) self.model = gs_op diff --git a/requirements.txt b/requirements.txt index 86af4d0..0070676 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,4 +1,5 @@ pandas==1.1.3 -numpy==1.19.5 Cython==0.29.15 +xgboost==1.3.3 +numpy==1.19.5 scikit_learn==1.0 diff --git a/tests/test_xgboost.py b/tests/test_boost.py similarity index 82% rename from tests/test_xgboost.py rename to tests/test_boost.py index d155db0..2532c37 100644 --- a/tests/test_xgboost.py +++ b/tests/test_boost.py @@ -34,7 +34,7 @@ sys.path.insert(0, path) -from mllib.lib.xgboost import XGBoost # noqa: F841 +from mllib.lib.boost import XGBoost # noqa: F841 # ============================================================================= # --- DO NOT CHANGE ANYTHING FROM HERE @@ -63,7 +63,8 @@ class Test_XGBoost(unittest.TestCase): def setUp(self): """Set up for module ``XGBoost``.""" - def test_rf_class(self): + @ignore_warnings + def test_xgboost_class(self): """XGBoost: Test for classification.""" x_var = ["x1", "x2", "x3", "x4"] y_var = "y" @@ -72,15 +73,17 @@ def test_rf_class(self): df_train, df_test = split(df_ip, stratify=df_ip[y_var], test_size=0.2, - random_state=42) - mod = XGBoost(df_train, y_var, x_var, method="classify") + random_state=1) + mod = XGBoost(df_train, y_var, x_var, method="classify", + param={"n_estimators": [1], + "objective": ["binary:logistic"]}) y_hat = mod.predict(df_test[x_var])[y_var].tolist() y = df_test[y_var].values.tolist() acc = round(sk_metrics.accuracy_score(y, y_hat), 2) self.assertGreaterEqual(acc, 0.93) @ignore_warnings - def test_knn_reg(self): + def test_xgboost_reg(self): """XGBoost: Test for regression.""" x_var = ["x1", "x2", "x3", "x4"] y_var = "y" @@ -89,12 +92,14 @@ def test_knn_reg(self): df_train, df_test = split(df_ip, stratify=df_ip[y_var], test_size=0.2, - random_state=42) - mod = XGBoost(df_train, y_var, x_var, method="regression") + random_state=1) + mod = XGBoost(df_train, y_var, x_var, method="regression", + param={"n_estimators": [1], + "objective": ["reg:squarederror"]}) y_hat = mod.predict(df_test[x_var])[y_var].tolist() y = df_test[y_var].values.tolist() mse = round(sk_metrics.mean_squared_error(y, y_hat), 2) - self.assertLessEqual(mse, 0.1) + self.assertLessEqual(mse, 0.5) # ============================================================================= diff --git a/tests/test_random_forest.py b/tests/test_random_forest.py index f0127f3..54bb0f3 100644 --- a/tests/test_random_forest.py +++ b/tests/test_random_forest.py @@ -57,11 +57,11 @@ def do_test(self, *args, **kwargs): return do_test -class Test_Knn(unittest.TestCase): - """Test suite for module ``KNN``.""" +class Test_RandomForest(unittest.TestCase): + """Test suite for module ``RandomForest``.""" def setUp(self): - """Set up for module ``KNN``.""" + """Set up for module ``RandomForest``.""" def test_rf_class(self): """RandomForest: Test for classification.""" @@ -80,7 +80,7 @@ def test_rf_class(self): self.assertGreaterEqual(acc, 0.93) @ignore_warnings - def test_knn_reg(self): + def test_rf_reg(self): """RandomForest: Test for regression.""" x_var = ["x1", "x2", "x3", "x4"] y_var = "y" From af7cfa0ba59eca9470fa47d5d52377ce462fd49b Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Tue, 28 Sep 2021 02:09:09 +0530 Subject: [PATCH 063/116] v0.4.0 changelog: - combined RandomForest and XGBoost into one single module namely, tree --- logs/cov.out | 21 +- logs/pylint/lib-boost-py.out | 9 - logs/pylint/lib-glmnet_ts-py.out | 9 - logs/pylint/lib-random_forest-py.out | 9 - logs/pylint/lib-tree-py.out | 9 + logs/pylint/tests-test_boost-py.out | 4 - logs/pylint/tests-test_glmnet_ts-py.out | 4 - logs/pylint/tests-test_random_forest-py.out | 4 - ...b-glmnet-py.out => tests-test_tree-py.out} | 0 mllib/__main__.py | 24 ++ mllib/lib/knn.py | 2 +- mllib/lib/random_forest.py | 187 ------------- mllib/lib/{boost.py => tree.py} | 254 +++++++++++++----- requirements.txt | 4 +- tests/test_boost.py | 110 -------- tests/{test_random_forest.py => test_tree.py} | 46 +++- 16 files changed, 271 insertions(+), 425 deletions(-) delete mode 100644 logs/pylint/lib-boost-py.out delete mode 100644 logs/pylint/lib-glmnet_ts-py.out delete mode 100644 logs/pylint/lib-random_forest-py.out create mode 100644 logs/pylint/lib-tree-py.out delete mode 100644 logs/pylint/tests-test_boost-py.out delete mode 100644 logs/pylint/tests-test_glmnet_ts-py.out delete mode 100644 logs/pylint/tests-test_random_forest-py.out rename logs/pylint/{lib-glmnet-py.out => tests-test_tree-py.out} (100%) delete mode 100644 mllib/lib/random_forest.py rename mllib/lib/{boost.py => tree.py} (55%) delete mode 100644 tests/test_boost.py rename tests/{test_random_forest.py => test_tree.py} (63%) diff --git a/logs/cov.out b/logs/cov.out index 5117727..eed6fca 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -1,11 +1,10 @@ -Name Stmts Miss Cover Missing ----------------------------------------------------------------------------------------------- -/media/ph33r/Data/Project/mllib/Git/mllib/__init__.py 7 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/__init__.py 7 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/boost.py 53 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/cluster.py 103 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/knn.py 70 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/model.py 44 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/random_forest.py 61 0 100% ----------------------------------------------------------------------------------------------- -TOTAL 345 0 100% +Name Stmts Miss Cover Missing +----------------------------------------------------------------------------------------- +/media/ph33r/Data/Project/mllib/Git/mllib/__init__.py 7 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/__init__.py 7 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/cluster.py 103 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/knn.py 70 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/model.py 44 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/tree.py 79 0 100% +----------------------------------------------------------------------------------------- +TOTAL 310 0 100% diff --git a/logs/pylint/lib-boost-py.out b/logs/pylint/lib-boost-py.out deleted file mode 100644 index aed4fa6..0000000 --- a/logs/pylint/lib-boost-py.out +++ /dev/null @@ -1,9 +0,0 @@ -************* Module mllib.lib.boost -boost.py:152:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -boost.py:153:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -boost.py:154:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -boost.py:155:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) - --------------------------------------------------------------------- -Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) - diff --git a/logs/pylint/lib-glmnet_ts-py.out b/logs/pylint/lib-glmnet_ts-py.out deleted file mode 100644 index 77fd809..0000000 --- a/logs/pylint/lib-glmnet_ts-py.out +++ /dev/null @@ -1,9 +0,0 @@ -************* Module mllib.lib.glmnet_ts -glmnet_ts.py:238:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -glmnet_ts.py:239:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -glmnet_ts.py:240:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -glmnet_ts.py:241:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) - --------------------------------------------------------------------- -Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) - diff --git a/logs/pylint/lib-random_forest-py.out b/logs/pylint/lib-random_forest-py.out deleted file mode 100644 index ade91ae..0000000 --- a/logs/pylint/lib-random_forest-py.out +++ /dev/null @@ -1,9 +0,0 @@ -************* Module mllib.lib.random_forest -random_forest.py:146:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -random_forest.py:147:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -random_forest.py:148:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -random_forest.py:149:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) - --------------------------------------------------------------------- -Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) - diff --git a/logs/pylint/lib-tree-py.out b/logs/pylint/lib-tree-py.out new file mode 100644 index 0000000..1b9facf --- /dev/null +++ b/logs/pylint/lib-tree-py.out @@ -0,0 +1,9 @@ +************* Module mllib.lib.tree +tree.py:73:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +tree.py:74:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +tree.py:75:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +tree.py:76:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) + +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) + diff --git a/logs/pylint/tests-test_boost-py.out b/logs/pylint/tests-test_boost-py.out deleted file mode 100644 index d7495ee..0000000 --- a/logs/pylint/tests-test_boost-py.out +++ /dev/null @@ -1,4 +0,0 @@ - --------------------------------------------------------------------- -Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) - diff --git a/logs/pylint/tests-test_glmnet_ts-py.out b/logs/pylint/tests-test_glmnet_ts-py.out deleted file mode 100644 index d7495ee..0000000 --- a/logs/pylint/tests-test_glmnet_ts-py.out +++ /dev/null @@ -1,4 +0,0 @@ - --------------------------------------------------------------------- -Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) - diff --git a/logs/pylint/tests-test_random_forest-py.out b/logs/pylint/tests-test_random_forest-py.out deleted file mode 100644 index d7495ee..0000000 --- a/logs/pylint/tests-test_random_forest-py.out +++ /dev/null @@ -1,4 +0,0 @@ - --------------------------------------------------------------------- -Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) - diff --git a/logs/pylint/lib-glmnet-py.out b/logs/pylint/tests-test_tree-py.out similarity index 100% rename from logs/pylint/lib-glmnet-py.out rename to logs/pylint/tests-test_tree-py.out diff --git a/mllib/__main__.py b/mllib/__main__.py index 7cbcca8..d5bc8be 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -29,6 +29,8 @@ from lib.cluster import Cluster # noqa: F841 from lib.model import GLMNet # noqa: F841 from lib.knn import KNN # noqa: F841 +from lib.tree import RandomForest # noqa: F841 +from lib.tree import XGBoost # noqa: F841 # ============================================================================= # --- DO NOT CHANGE ANYTHING FROM HERE @@ -92,6 +94,28 @@ df_ip = pd.read_csv(path + "input/iris.csv") mod = KNN(df_ip, "y", ["x1", "x2", "x3", "x4"], method="classify") print("\nKNN\n") + for k, v in mod.model_summary.items(): + print(k, str(v).rjust(69 - len(k))) + print(elapsed_time("Time", start_t), + sep="\n") + # --- Random forest + start_t = time.time_ns() + df_ip = pd.read_csv(path + "input/iris.csv") + x_var = ["x1", "x2", "x3", "x4"] + y_var = "y" + mod = RandomForest(df_ip, y_var, x_var, method="classify") + print("\nRandom forest\n") + for k, v in mod.model_summary.items(): + print(k, str(v).rjust(69 - len(k))) + print(elapsed_time("Time", start_t), + sep="\n") + # --- XGBoost + start_t = time.time_ns() + df_ip = pd.read_csv(path + "input/iris.csv") + x_var = ["x1", "x2", "x3", "x4"] + y_var = "y" + mod = XGBoost(df_ip, y_var, x_var, method="classify") + print("\nXGBoost\n") for k, v in mod.model_summary.items(): print(k, str(v).rjust(69 - len(k))) print(elapsed_time("Time", start_t), diff --git a/mllib/lib/knn.py b/mllib/lib/knn.py index ba5d08d..7483e22 100644 --- a/mllib/lib/knn.py +++ b/mllib/lib/knn.py @@ -104,7 +104,7 @@ class KNN(): Example ------- >>> mod = KNN(df=df_ip, y_var="y", x_var=["x1", "x2", "x3"]) - >>> df_op = mod.predict(df_predict) + >>> df_op = mod.predict(x_predict) """ diff --git a/mllib/lib/random_forest.py b/mllib/lib/random_forest.py deleted file mode 100644 index 33685ab..0000000 --- a/mllib/lib/random_forest.py +++ /dev/null @@ -1,187 +0,0 @@ -""" -Random Forest module. - -**Available routines:** - -- class ``RandomForest``: Builds Random Forest model using cross validation. - -Credits -------- -:: - - Authors: - - Diptesh - - Madhu - - Date: Sep 27, 2021 -""" - -# pylint: disable=invalid-name -# pylint: disable=R0902,R0903,R0913,C0413 - -from typing import List, Dict, Any - -import re -import sys -from inspect import getsourcefile -from os.path import abspath - -import pandas as pd -import numpy as np -import sklearn.ensemble as rf - -from sklearn.model_selection import GridSearchCV -from sklearn.metrics import classification_report - -path = abspath(getsourcefile(lambda: 0)) -path = re.sub(r"(.+\/)(.+.py)", "\\1", path) -sys.path.insert(0, path) - -import metrics # noqa: F841 - - -class RandomForest(): - """Random forest module. - - Objective: - - Build - `Random forest `_ - model and determine optimal k - - Parameters - ---------- - df : pandas.DataFrame - - Pandas dataframe containing the `y_var` and `x_var` - - y_var : str - - Dependant variable - - x_var : List[str] - - Independant variables - - method : str, optional - - Can be either `classify` or `regression` (the default is regression) - - k_fold : int, optional - - Number of cross validations folds (the default is 5) - - param : dict, optional - - Random forest parameters (the default is None). - In case of None, the parameters will default to:: - - bootstrap: [True] - max_depth: [1, len(x_var)] - n_estimators: [1000] - max_features: ["sqrt", "auto"] - min_samples_leaf: [2, 5] - - Returns - ------- - model : object - - Final optimal model. - - best_params_ : Dict - - Best parameters amongst the given parameters. - - model_summary : Dict - - Model summary containing key metrics like R-squared, RMSE, MSE, MAE, - MAPE for regression and Accuracy, Precision, Recall, F1 score for - classification. - - Methods - ------- - predict - - Example - ------- - >>> mod = RandomForest(df=df_ip, y_var="y", x_var=["x1", "x2", "x3"]) - >>> df_op = mod.predict(df_predict) - - """ - - def __init__(self, - df: pd.DataFrame, - y_var: str, - x_var: List[str], - method: str = "regression", - k_fold: int = 5, - param: Dict = None): - """Initialize variables for module ``RandomForest``.""" - self.y_var = y_var - self.x_var = x_var - self.df = df.reset_index(drop=True) - self.method = method - self.model = None - self.k_fold = k_fold - self.seed = 1 - if param is None: - param = {"bootstrap": [True], - "max_depth": list(range(1, len(x_var))), - "n_estimators": [1000]} - if method == "classify": - param["max_features"] = ["sqrt"] - param["min_samples_leaf"] = [2] - elif method == "regression": - param["max_features"] = [int(len(x_var) / 3)] - param["min_samples_leaf"] = [5] - self.param = param - self.best_params_ = self._fit() - self.model_summary = None - self._compute_metrics() - - def _compute_metrics(self): - """Compute commonly used metrics to evaluate the model.""" - y = self.df.loc[:, self.y_var].values.tolist() - y_hat = list(self.model.predict(self.df[self.x_var])) - if self.method == "regression": - model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), - "mae": np.round(metrics.mae(y, y_hat), 3), - "mape": np.round(metrics.mape(y, y_hat), 3), - "rmse": np.round(metrics.rmse(y, y_hat), 3)} - model_summary["mse"] = np.round(model_summary["rmse"] ** 2, 3) - if self.method == "classify": - class_report = classification_report(y, - y_hat, - output_dict=True, - zero_division=0) - model_summary = class_report["weighted avg"] - model_summary["accuracy"] = class_report["accuracy"] - model_summary = {key: round(model_summary[key], 3) - for key in model_summary} - self.model_summary = model_summary - - def _fit(self) -> Dict[str, Any]: - """Fit RandomForest model.""" - if self.method == "classify": - tmp_model = rf.RandomForestClassifier(oob_score=True, - random_state=self.seed) - elif self.method == "regression": - tmp_model = rf.RandomForestRegressor(oob_score=True, - random_state=self.seed) - gs = GridSearchCV(estimator=tmp_model, - param_grid=self.param, - n_jobs=-1, - verbose=0, - refit=True, - return_train_score=True, - cv=self.k_fold) - gs_op = gs.fit(self.df[self.x_var], - self.df[self.y_var]) - self.model = gs_op - return gs_op.best_params_ - - def predict(self, x_predict: pd.DataFrame) -> pd.DataFrame: - """Predict values.""" - df_op = x_predict.copy(deep=True) - y_hat = self.model.predict(x_predict) - df_op.insert(loc=0, column=self.y_var, value=y_hat) - return df_op diff --git a/mllib/lib/boost.py b/mllib/lib/tree.py similarity index 55% rename from mllib/lib/boost.py rename to mllib/lib/tree.py index 64dd6cd..5a33fb9 100644 --- a/mllib/lib/boost.py +++ b/mllib/lib/tree.py @@ -1,8 +1,9 @@ """ -XGBoost module. +Tree based models. **Available routines:** +- class ``RandomForest``: Builds Random Forest model using cross validation. - class ``XGBoost``: Builds XGBoost model using cross validation. Credits @@ -28,6 +29,7 @@ import pandas as pd import numpy as np +import sklearn.ensemble as rf import xgboost as xgb from sklearn.model_selection import RandomizedSearchCV @@ -40,7 +42,163 @@ import metrics # noqa: F841 -class XGBoost(): +class Tree(): + """Parent class for tree based models.""" + + def __init__(self, + df: pd.DataFrame, + y_var: str, + x_var: List[str], + method: str = "regression", + k_fold: int = 5, + param: Dict = None): + """Initialize variables.""" + self.y_var = y_var + self.x_var = x_var + self.df = df.reset_index(drop=True) + self.method = method + self.k_fold = k_fold + self.seed = 1 + self.model = None + self.model_summary = None + self.param = param + self.best_params_ = self._fit() + self._compute_metrics() + + def _compute_metrics(self): + """Compute commonly used metrics to evaluate the model.""" + y = self.df.loc[:, self.y_var].values.tolist() + y_hat = list(self.model.predict(self.df[self.x_var])) + if self.method == "regression": + model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), + "mae": np.round(metrics.mae(y, y_hat), 3), + "mape": np.round(metrics.mape(y, y_hat), 3), + "rmse": np.round(metrics.rmse(y, y_hat), 3)} + model_summary["mse"] = np.round(model_summary["rmse"] ** 2, 3) + if self.method == "classify": + class_report = classification_report(y, + y_hat, + output_dict=True, + zero_division=0) + model_summary = class_report["weighted avg"] + model_summary["accuracy"] = class_report["accuracy"] + model_summary = {key: round(model_summary[key], 3) + for key in model_summary} + self.model_summary = model_summary + + def _fit(self) -> Dict[str, Any]: # pragma: no cover + """Fit model.""" + return self.best_params_ + + def predict(self, x_predict: pd.DataFrame) -> pd.DataFrame: + """Predict values.""" + df_op = x_predict.copy(deep=True) + y_hat = self.model.predict(x_predict) + df_op.insert(loc=0, column=self.y_var, value=y_hat) + return df_op + + +class RandomForest(Tree): + """Random forest module. + + Objective: + - Build + `Random forest `_ + model and determine optimal k + + Parameters + ---------- + df : pandas.DataFrame + + Pandas dataframe containing the `y_var` and `x_var` + + y_var : str + + Dependant variable + + x_var : List[str] + + Independant variables + + method : str, optional + + Can be either `classify` or `regression` (the default is regression) + + k_fold : int, optional + + Number of cross validations folds (the default is 5) + + param : dict, optional + + Random forest parameters (the default is None). + In case of None, the parameters will default to:: + + bootstrap: [True] + max_depth: [1, len(x_var)] + n_estimators: [1000] + max_features: ["sqrt", "auto"] + min_samples_leaf: [2, 5] + + Returns + ------- + model : object + + Final optimal model. + + best_params_ : Dict + + Best parameters amongst the given parameters. + + model_summary : Dict + + Model summary containing key metrics like R-squared, RMSE, MSE, MAE, + MAPE for regression and Accuracy, Precision, Recall, F1 score for + classification. + + Methods + ------- + predict + + Example + ------- + >>> mod = RandomForest(df=df_ip, y_var="y", x_var=["x1", "x2", "x3"]) + >>> df_op = mod.predict(x_predict) + + """ + + def _fit(self) -> Dict[str, Any]: + """Fit RandomForest model.""" + if self.param is None: + self.param = {"bootstrap": [True], + "max_depth": list(range(1, len(self.x_var))), + "n_estimators": [100]} + if self.method == "classify": + self.param["max_features"] = ["sqrt"] + self.param["min_samples_leaf"] = [2] + elif self.method == "regression": + self.param["max_features"] = [int(len(self.x_var) / 3)] + self.param["min_samples_leaf"] = [5] + if self.method == "classify": + tmp_model = rf.RandomForestClassifier(oob_score=True, + random_state=self.seed) + elif self.method == "regression": + tmp_model = rf.RandomForestRegressor(oob_score=True, + random_state=self.seed) + gs = RandomizedSearchCV(estimator=tmp_model, + param_distributions=self.param, + n_jobs=-1, + verbose=0, + refit=True, + n_iter=3, + return_train_score=True, + cv=self.k_fold) + gs_op = gs.fit(self.df[self.x_var], + self.df[self.y_var]) + self.model = gs_op + return gs_op.best_params_ + + +class XGBoost(Tree): """XGBoost module. Objective: @@ -75,13 +233,12 @@ class XGBoost(): XGBoost parameters (the default is None). In case of None, the parameters will default to:: - n_estimators: [1000] - learning_rate: [i/1000 for i in range(2, 11)] - subsample: [i/10 for i in range(5, 10)] - colsample_bytree: [i/10 for i in range(1, 11)] - min_child_weight: list(range(1, 11)) - max_depth: [1, len(x_var)] - gamma: list(np.arange(0.0, 1.1, 0.25)) + n_estimators: [100] + learning_rate: [0.01, 0.1, 0.2, 0.3] + subsample: [0.5, 0.75, 1.0] + colsample_bytree: [0.5, 1.0] + min_child_weight: [0.5, 1.0, 3.0] + max_depth: [int(len(self.x_var) * 0.8)] objective: ["reg:squarederror", "binary:logistic"] Returns @@ -107,75 +264,32 @@ class XGBoost(): Example ------- >>> mod = XGBoost(df=df_ip, y_var="y", x_var=["x1", "x2", "x3"]) - >>> df_op = mod.predict(df_predict) + >>> df_op = mod.predict(x_predict) """ - def __init__(self, - df: pd.DataFrame, - y_var: str, - x_var: List[str], - method: str = "regression", - k_fold: int = 5, - param: Dict = None): - """Initialize variables for module ``XGBoost``.""" - self.y_var = y_var - self.x_var = x_var - self.df = df.reset_index(drop=True) - self.method = method - self.model = None - self.k_fold = k_fold - self.seed = 1 - if param is None: # pragma: no cover - param = {"n_estimators": [1000], - "learning_rate": [0.001, 0.01, 0.1, 0.2, 0.3], - "subsample": [0.5, 0.6, 0.7, 0.8, 0.9, 1.0], - "colsample_bytree": [0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0], - "colsample_bylevel": [0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0], - "min_child_weight": [0.5, 1.0, 3.0, 5.0, 7.0, 10.0], - "max_depth": list(range(1, len(x_var))), - "gamma": [0, 0.25, 0.5, 1.0]} - if method == "classify": - param["objective"] = ["binary:logistic"] - elif method == "regression": - param["objective"] = ["reg:squarederror"] - self.param = param - self.best_params_ = self._fit() - self.model_summary = None - self._compute_metrics() - - def _compute_metrics(self): - """Compute commonly used metrics to evaluate the model.""" - y = self.df.loc[:, self.y_var].values.tolist() - y_hat = list(self.model.predict(self.df[self.x_var])) - if self.method == "regression": - model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), - "mae": np.round(metrics.mae(y, y_hat), 3), - "mape": np.round(metrics.mape(y, y_hat), 3), - "rmse": np.round(metrics.rmse(y, y_hat), 3)} - model_summary["mse"] = np.round(model_summary["rmse"] ** 2, 3) - if self.method == "classify": - class_report = classification_report(y, - y_hat, - output_dict=True, - zero_division=0) - model_summary = class_report["weighted avg"] - model_summary["accuracy"] = class_report["accuracy"] - model_summary = {key: round(model_summary[key], 3) - for key in model_summary} - self.model_summary = model_summary - def _fit(self) -> Dict[str, Any]: """Fit XGBoost model.""" + if self.param is None: + self.param = {"n_estimators": [100], + "learning_rate": [0.01, 0.1, 0.2, 0.3], + "subsample": [0.5, 0.75, 1.0], + "colsample_bytree": [0.5, 1.0], + "min_child_weight": [0.5, 1.0, 3.0], + "max_depth": [int(len(self.x_var) * 0.8)]} + if self.method == "classify": + self.param["objective"] = ["binary:logistic"] + elif self.method == "regression": + self.param["objective"] = ["reg:squarederror"] if self.method == "classify": - tmp_model = xgb.XGBClassifier(n_jobs=-1, + tmp_model = xgb.XGBClassifier(n_jobs=1, verbosity=0, silent=True, random_state=self.seed, seed=self.seed, use_label_encoder=False) elif self.method == "regression": - tmp_model = xgb.XGBRegressor(n_jobs=-1, + tmp_model = xgb.XGBRegressor(n_jobs=1, verbosity=0, silent=True, random_state=self.seed, @@ -185,6 +299,7 @@ def _fit(self) -> Dict[str, Any]: n_jobs=-1, verbose=0, refit=True, + n_iter=10, return_train_score=True, cv=self.k_fold, random_state=self.seed) @@ -192,10 +307,3 @@ def _fit(self) -> Dict[str, Any]: self.df[self.y_var]) self.model = gs_op return gs_op.best_params_ - - def predict(self, x_predict: pd.DataFrame) -> pd.DataFrame: - """Predict values.""" - df_op = x_predict.copy(deep=True) - y_hat = self.model.predict(x_predict) - df_op.insert(loc=0, column=self.y_var, value=y_hat) - return df_op diff --git a/requirements.txt b/requirements.txt index 0070676..7715ab9 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,5 +1,5 @@ -pandas==1.1.3 Cython==0.29.15 -xgboost==1.3.3 numpy==1.19.5 +pandas==1.1.3 +xgboost==1.3.3 scikit_learn==1.0 diff --git a/tests/test_boost.py b/tests/test_boost.py deleted file mode 100644 index 2532c37..0000000 --- a/tests/test_boost.py +++ /dev/null @@ -1,110 +0,0 @@ -""" -Test suite module for ``XGBoost``. - -Credits -------- -:: - - Authors: - - Diptesh - - Madhu - - Date: Sep 27, 2021 -""" - -# pylint: disable=invalid-name -# pylint: disable=wrong-import-position - -import unittest -import warnings -import re -import sys - -from inspect import getsourcefile -from os.path import abspath - -import pandas as pd - -from sklearn.model_selection import train_test_split as split -from sklearn import metrics as sk_metrics - -# Set base path -path = abspath(getsourcefile(lambda: 0)) -path = re.sub(r"(.+)(\/tests.*)", "\\1", path) - -sys.path.insert(0, path) - -from mllib.lib.boost import XGBoost # noqa: F841 - -# ============================================================================= -# --- DO NOT CHANGE ANYTHING FROM HERE -# ============================================================================= - -path = path + "/data/input/" - -# ============================================================================= -# --- User defined functions -# ============================================================================= - - -def ignore_warnings(test_func): - """Suppress warnings.""" - - def do_test(self, *args, **kwargs): - with warnings.catch_warnings(): - warnings.simplefilter("ignore") - test_func(self, *args, **kwargs) - return do_test - - -class Test_XGBoost(unittest.TestCase): - """Test suite for module ``XGBoost``.""" - - def setUp(self): - """Set up for module ``XGBoost``.""" - - @ignore_warnings - def test_xgboost_class(self): - """XGBoost: Test for classification.""" - x_var = ["x1", "x2", "x3", "x4"] - y_var = "y" - df_ip = pd.read_csv(path + "iris.csv") - df_ip = df_ip[[y_var] + x_var] - df_train, df_test = split(df_ip, - stratify=df_ip[y_var], - test_size=0.2, - random_state=1) - mod = XGBoost(df_train, y_var, x_var, method="classify", - param={"n_estimators": [1], - "objective": ["binary:logistic"]}) - y_hat = mod.predict(df_test[x_var])[y_var].tolist() - y = df_test[y_var].values.tolist() - acc = round(sk_metrics.accuracy_score(y, y_hat), 2) - self.assertGreaterEqual(acc, 0.93) - - @ignore_warnings - def test_xgboost_reg(self): - """XGBoost: Test for regression.""" - x_var = ["x1", "x2", "x3", "x4"] - y_var = "y" - df_ip = pd.read_csv(path + "iris.csv") - df_ip = df_ip[[y_var] + x_var] - df_train, df_test = split(df_ip, - stratify=df_ip[y_var], - test_size=0.2, - random_state=1) - mod = XGBoost(df_train, y_var, x_var, method="regression", - param={"n_estimators": [1], - "objective": ["reg:squarederror"]}) - y_hat = mod.predict(df_test[x_var])[y_var].tolist() - y = df_test[y_var].values.tolist() - mse = round(sk_metrics.mean_squared_error(y, y_hat), 2) - self.assertLessEqual(mse, 0.5) - - -# ============================================================================= -# --- Main -# ============================================================================= - -if __name__ == '__main__': - unittest.main() diff --git a/tests/test_random_forest.py b/tests/test_tree.py similarity index 63% rename from tests/test_random_forest.py rename to tests/test_tree.py index 54bb0f3..5ae5fc2 100644 --- a/tests/test_random_forest.py +++ b/tests/test_tree.py @@ -1,5 +1,5 @@ """ -Test suite module for ``random_forest``. +Test suite module for ``XGBoost``. Credits ------- @@ -34,7 +34,8 @@ sys.path.insert(0, path) -from mllib.lib.random_forest import RandomForest # noqa: F841 +from mllib.lib.tree import RandomForest # noqa: F841 +from mllib.lib.tree import XGBoost # noqa: F841 # ============================================================================= # --- DO NOT CHANGE ANYTHING FROM HERE @@ -97,6 +98,47 @@ def test_rf_reg(self): self.assertLessEqual(mse, 0.1) +class Test_XGBoost(unittest.TestCase): + """Test suite for module ``XGBoost``.""" + + def setUp(self): + """Set up for module ``XGBoost``.""" + + @ignore_warnings + def test_xgboost_class(self): + """XGBoost: Test for classification.""" + x_var = ["x1", "x2"] + y_var = "y" + df_ip = pd.read_csv(path + "iris.csv") + df_ip = df_ip[[y_var] + x_var] + df_train, df_test = split(df_ip, + stratify=df_ip[y_var], + test_size=0.2, + random_state=1) + mod = XGBoost(df_train, y_var, x_var, method="classify") + y_hat = mod.predict(df_test[x_var])[y_var].tolist() + y = df_test[y_var].values.tolist() + acc = round(sk_metrics.accuracy_score(y, y_hat), 2) + self.assertGreaterEqual(acc, 0.93) + + @ignore_warnings + def test_xgboost_reg(self): + """XGBoost: Test for regression.""" + x_var = ["x1", "x2", "x3", "x4"] + y_var = "y" + df_ip = pd.read_csv(path + "iris.csv") + df_ip = df_ip[[y_var] + x_var] + df_train, df_test = split(df_ip, + stratify=df_ip[y_var], + test_size=0.2, + random_state=1) + mod = XGBoost(df_train, y_var, x_var, method="regression") + y_hat = mod.predict(df_test[x_var])[y_var].tolist() + y = df_test[y_var].values.tolist() + mse = round(sk_metrics.mean_squared_error(y, y_hat), 2) + self.assertLessEqual(mse, 0.5) + + # ============================================================================= # --- Main # ============================================================================= From d8182b24ff97890c4b80df7f6b90558e1fa05c96 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Tue, 28 Sep 2021 13:45:09 +0530 Subject: [PATCH 064/116] v0.4.0 changelog: - added TSP and Transport modules --- logs/cov.out | 3 +- logs/pylint/lib-opt-py.out | 4 + logs/pylint/tests-test_opt-py.out | 4 + mllib/__main__.py | 27 ++ mllib/lib/opt.py | 655 ++++++++++++++++++++++++++++++ requirements.txt | 4 +- tests/test_opt.py | 140 +++++++ 7 files changed, 835 insertions(+), 2 deletions(-) create mode 100644 logs/pylint/lib-opt-py.out create mode 100644 logs/pylint/tests-test_opt-py.out create mode 100644 mllib/lib/opt.py create mode 100644 tests/test_opt.py diff --git a/logs/cov.out b/logs/cov.out index eed6fca..6057f98 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -5,6 +5,7 @@ Name Stmts Miss Cover /media/ph33r/Data/Project/mllib/Git/mllib/lib/cluster.py 103 0 100% /media/ph33r/Data/Project/mllib/Git/mllib/lib/knn.py 70 0 100% /media/ph33r/Data/Project/mllib/Git/mllib/lib/model.py 44 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/opt.py 158 0 100% /media/ph33r/Data/Project/mllib/Git/mllib/lib/tree.py 79 0 100% ----------------------------------------------------------------------------------------- -TOTAL 310 0 100% +TOTAL 468 0 100% diff --git a/logs/pylint/lib-opt-py.out b/logs/pylint/lib-opt-py.out new file mode 100644 index 0000000..b96d3cd --- /dev/null +++ b/logs/pylint/lib-opt-py.out @@ -0,0 +1,4 @@ + +------------------------------------ +Your code has been rated at 10.00/10 + diff --git a/logs/pylint/tests-test_opt-py.out b/logs/pylint/tests-test_opt-py.out new file mode 100644 index 0000000..d7495ee --- /dev/null +++ b/logs/pylint/tests-test_opt-py.out @@ -0,0 +1,4 @@ + +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) + diff --git a/mllib/__main__.py b/mllib/__main__.py index d5bc8be..6286c01 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -31,6 +31,8 @@ from lib.knn import KNN # noqa: F841 from lib.tree import RandomForest # noqa: F841 from lib.tree import XGBoost # noqa: F841 +from lib.opt import TSP # noqa: F841 +from lib.opt import Transport # noqa: F841 # ============================================================================= # --- DO NOT CHANGE ANYTHING FROM HERE @@ -118,6 +120,31 @@ print("\nXGBoost\n") for k, v in mod.model_summary.items(): print(k, str(v).rjust(69 - len(k))) + print(elapsed_time("Time", start_t), + sep="\n") + # --- Travelling salesman + start_t = time.time_ns() + df_ip = pd.read_csv(path + "input/us_city.csv") + df_ip = df_ip.iloc[:10, :] + tsp = TSP() + opt = tsp.solve(loc=df_ip["city"].tolist(), + lat=df_ip["lat"].tolist(), + lon=df_ip["lng"].tolist(), + debug=False) + print("\nTSP\n") + print("Optimal value:", round(opt[1], 3)) + print(elapsed_time("Time", start_t), + sep="\n") + # --- Transportation + start_t = time.time_ns() + c_loc = ["1", "5", "10", "11", "100", "127", "324"] + c_demand = [20, 10, 15, 0, 0, 25, 0] + c_supply = [0, 0, 0, 30, 12, 0, 28] + c_lat = [42.1, 43.0, 40.3, 46.8, 43.9, 41.6, 45.2] + c_lon = [-102.1, -103.0, -100.3, -106.8, -103.9, -101.6, -105.2] + prob = Transport(c_loc, c_demand, c_supply, c_lat, c_lon, 1) + opt_out = prob.solve(0) + print("\nTransportation\n") print(elapsed_time("Time", start_t), sep="\n") # --- EOF diff --git a/mllib/lib/opt.py b/mllib/lib/opt.py new file mode 100644 index 0000000..2dfb4fc --- /dev/null +++ b/mllib/lib/opt.py @@ -0,0 +1,655 @@ +""" +Optimization module. + +**Available routines:** + +- class ``TSP``: Solve the Traveling salesman problem using integer + programming/nearest neighbour algorithm. +- class ``Transport``: Solve the Transportation problem using integer + programming. + +Credits +------- +:: + + Authors: + - Diptesh + - Madhu + + Date: Sep 28, 2021 +""" + +# ============================================================================= +# --- DO NOT CHANGE ANYTHING FROM HERE +# ============================================================================= + +# pylint: disable=invalid-name +# pylint: disable-msg=too-many-arguments +# pylint: disable=too-many-instance-attributes + +# ============================================================================= +# --- Import libraries +# ============================================================================= + +from dataclasses import dataclass +from typing import List, Tuple, Dict + +import copy +import math +import pandas as pd +import numpy as np +import pulp + +# ============================================================================= +# --- User defined functions +# ============================================================================= + + +@dataclass +class TSP: + """ + Travelling salesman problem. + + Module for `Travelling salesman problem + `_ using + integer programming or nearest neighbour algorithm. + + Methods + ------- + :func:`~opt.TSP.integer_program` + Determining optimal path using integer programming. + + :func:`~opt.TSP.nearest_neighbour` + Determining optimal path using nearest neighbour algorithm. + + :func:`~opt.TSP.solve` + Determining optimal path using integer programming or nearest neighbour + algorithm based on count of locations. + + """ + + _paired_loc = None + + @staticmethod + def haversine_np(lon1: List[float], + lat1: List[float], + lon2: List[float], + lat2: List[float], + dist: str = "mi" + ) -> np.ndarray: + """ + Haversine distance formula. + + Calculate the euclidean distance in miles between two points + specified in decimal degrees using + `Haversine formula `_. + + Parameters + ---------- + lon1, lat1, lon2, lat2 : float + + Pair of Latitude and Longitude. All args must be of equal length. + + dist : str, `optional` + + Output distance in miles ('mi') or kilometers ('km') + (the default is mi) + + Returns + ------- + numpy.ndarray + + Euclidean distance between two points in miles. + + """ + if dist == "km": # pragma: no cover + R = 6372.8 + else: + R = 3959.87433 + lon1, lat1, lon2, lat2 = map(np.radians, [lon1, lat1, lon2, lat2]) + dlon = lon2 - lon1 + dlat = lat2 - lat1 + a = (np.sin(dlat / 2.0) ** 2 + + np.cos(lat1) * np.cos(lat2) + * np.sin(dlon / 2.0) ** 2) + op = R * 2 * np.arcsin(np.sqrt(a)) + return op + + @staticmethod + def pair_dist(loc: List[str], + lat: List[float], + lon: List[float] + ) -> Tuple[List[str], + Dict[Tuple[str, str], + float]]: + """ + Create pairwise euclidean distance in miles between all locations. + + Parameters + ---------- + loc : list + + A list containing the location names. + + lat : list + + List of latitude in decimal degrees. + + lon : list + + List of longitude in decimal degrees. + + Returns + ------- + loc : list + + A list containing the location names. + + dist : dict + + A dictionary containg the pairwise locations as Key and distances + as values. + + """ + df = pd.DataFrame(data={'loc': loc, 'x': lat, 'y': lon}) + df["key"] = 1 + df = pd.merge(df, + df, + how="outer", + on="key", + copy=False) + df = df.drop(labels=["key"], axis=1) + df = df[df["loc_x"] != df["loc_y"]] + df["dist"] = TSP.haversine_np(df["y_x"], df["x_x"], + df["y_y"], df["x_y"]) + df = df[["loc_x", "loc_y", "dist"]] + df = dict(zip(zip(df.loc_x, df.loc_y), df.dist)) + return (loc, df) + + @staticmethod + def integer_program(loc: List[str], + dist: Dict[Tuple[str, str], + float], + debug_mode: bool = False + ) -> Tuple[str, + float, + zip]: + """ + Travelling Salesman Problem using integer programming. + + Parameters + ---------- + loc : list + + A list containing the location names. + + dist : dict + + A dictionary containg the pairwise locations as Key and distances + as values. + + debug_mode : bool, optional, default : False + + Print log in console. + + Returns + ------- + tuple + + Containing the following:: + + Optimization solution status : str + Objective function value : float + Optimal path with distance : zip object containing + - list of tuples + - locations : str + - distances : float + + """ + # Initiate IP formulation model + model = pulp.LpProblem("Travelling Salesman Problem", pulp.LpMinimize) + # Decision variables - 1 if chosen, 0 otherwise + dv_leg = pulp.LpVariable.dicts("Decision variable leg", dist, + lowBound=0, upBound=1, cat='Binary') + # Objective function - Minimize total distance + model += pulp.lpSum([dv_leg[(i, j)] * dist[(i, j)] for (i, j) in dist]) + # Constraints + # Con 01 - 02: Each node should be entered and exited exactly once + for k in loc: + model += pulp.lpSum([dv_leg[(i, k)] + for i in loc if (i, k) in dv_leg]) == 1 + model += pulp.lpSum([dv_leg[(k, i)] + for i in loc if (k, i) in dv_leg]) == 1 + # Con 03: Eliminate subtours + u = pulp.LpVariable.dicts("Relative position of each tour leg", loc, + lowBound=0, upBound=len(loc)-1, + cat='Integer') + for i in loc: + for j in loc: + if (i != j) and (i != loc[0] and j != loc[0]) and\ + (i, j) in dv_leg: + model += u[i] - u[j] <= (len(loc))*(1 - dv_leg[(i, j)]) - 1 + # Solve + debug_mode = int(debug_mode is True) + pulp.LpSolverDefault.msg = debug_mode + model.solve() + # Generate optimal path + loc_left = copy.copy(loc) + org = loc[0] + tour = [] + tour.append(loc_left.pop(loc_left.index(org))) + while loc_left: + for k in loc_left: + if dv_leg[(org, k)].varValue == 1: + tour.append(loc_left.pop(loc_left.index(k))) + org = k + break + tour.append(loc[0]) + tour_legs = [dist[(tour[i-1], tour[i])] for i in range(1, len(tour))] + return (pulp.LpStatus[model.status], + sum(tour_legs), + zip(tour, tour_legs)) + + @staticmethod + def nearest_neighbour(loc_dict: Dict[Tuple[str, str], + float] + ) -> Tuple[str, + float, + zip]: + """ + Travelling Salesman Problem using nearest neighbour algorithm. + + Parameters + ---------- + loc_dict : dict + + A dictionary containg the pairwise locations as Key and distances + as values. + + Returns + ------- + tuple containing the following:: + + Algorithm used : str + Objective function value : float + Optimal path with distance : zip object containing + - list of tuples + - locations : str + - distances : float + + """ + loc_df = pd.concat([pd.DataFrame(loc_dict.keys(), columns=["loc1", + "loc2"]), + pd.DataFrame(loc_dict.values(), columns=["dist"])], + axis=1, verify_integrity=True) + loc_df = loc_df.sort_values(["loc1", "dist"]) + loc_dist = loc_df["loc1"].unique().tolist() + loc_df = loc_df.set_index("loc1") + obj_val = math.inf + op_dist = None + op_visited = None + for loc in range(len(loc_dist)): + unvisited = copy.copy(loc_dist) + sp = unvisited[loc] + visited = [] + dist = [] + i = sp + while unvisited != []: + if len(unvisited) > 1: + tmp = loc_df[loc_df.index == i] + tmp = tmp[tmp["loc2"].isin(unvisited)].reset_index() + else: + tmp = loc_df[(loc_df.index == i) + & (loc_df["loc2"] == sp)].reset_index() + visited.append(i) + dist.append(tmp["dist"][0]) + unvisited.remove(i) + i = tmp["loc2"][0] + if sum(dist) < obj_val: + obj_val = sum(dist) + op_dist = dist + op_visited = visited + return ("Nearest Neighbour", sum(op_dist), zip(op_visited, op_dist)) + + def solve(self, + loc: List[str], + lat: List[float], + lon: List[float], + debug: bool = False + ) -> Tuple[str, + float, + zip]: + """ + Solve for TSP. + + Solve Travelling Salesman Problem using Integer Programming if + locations are less than 50 else solve using Nearest neighbour + algorithm. + + Parameters + ---------- + loc : list + + A list containing the location names. + + lat : list + + List of latitude in decimal degrees. + + lon : list + + List of longitude in decimal degrees. + + debug : bool, optional, default : False + + Print log in console. + + Returns + ------- + tuple containing the following:: + + Algorithm used : str + Objective function value : float + Optimal path with distance : zip object containing + - list of tuples + - locations : str + - distances : float + + """ + self._paired_loc = self.pair_dist(loc, lat, lon) + if len(loc) < 50: + op = self.integer_program(self._paired_loc[0], + self._paired_loc[1], + debug) + else: + op = self.nearest_neighbour(self._paired_loc[1]) + return op + + +class Transport(): + """ + Module to solve for Transportation Problem using Integer programming. + + Parameters + ---------- + loc : list + + A list containing the locations/nodes. + + demand : list + + A list containing the demand quantity for each node. + + supply : list + + A list containing the supply quantity for each node. + + lat : list + + A list containing the latitude for each node. + + lon : list + + A list containing the longitude for each node. + + cost : float + + Cost per unit per mile + + """ + + def __init__(self, + loc: List[str], + demand: List[int], + supply: List[int], + lat: List[float], + lon: List[float], + cost: int): + """Initialize variables.""" + self._loc = loc + self._demand = demand + self._supply = supply + self._lat = lat + self._lon = lon + self._cost = cost + self._ori_demand = demand + self._ori_supply = supply + self._inputs = None + self.output = None + + @staticmethod + def haversine_np(lon1: List[float], + lat1: List[float], + lon2: List[float], + lat2: List[float], + dist: str = "mi" + ) -> np.ndarray: + """ + Haversine distance formula. + + Calculate the euclidean distance in miles between two points + specified in decimal degrees using + `Haversine formula `_. + + Parameters + ---------- + lon1, lat1, lon2, lat2 : float + + Pair of Latitude and Longitude. All args must be of equal length. + + dist : str, `optional` + + Output distance in miles ('mi') or kilometers ('km') + (the default is mi) + + Returns + ------- + numpy.ndarray + + Euclidean distance between two points in miles. + + """ + if dist == "km": # pragma: no cover + R = 6372.8 + else: + R = 3959.87433 + lon1, lat1, lon2, lat2 = map(np.radians, [lon1, lat1, lon2, lat2]) + dlon = lon2 - lon1 + dlat = lat2 - lat1 + a = (np.sin(dlat / 2.0) ** 2 + + np.cos(lat1) * np.cos(lat2) + * np.sin(dlon / 2.0) ** 2) + op = R * 2 * np.arcsin(np.sqrt(a)) + return op + + def _opt_ip(self) -> Tuple[Dict[str, int], + Dict[str, int], + Dict[Tuple[str, str], float]]: + """ + Create inputs dicts for :func:`transport_prob`. + + Returns + ------- + tuple + A tuple containing the following:: + + demand : dict + Dict containing location, demand as key value pair. + + supply : dict + Dict containing location, supply as key value pair. + + costs : dict + Dict containing (suppy_node, demand_node), costs + as key value pair. + + """ + df = pd.DataFrame(zip(self._loc, self._demand, self._supply, + self._lat, self._lon, [1] * len(self._loc)), + columns=["loc", "demand", "supply", + "lat", "lon", "key"]) + df["loc"] = df["loc"].astype(str) + df_demand = df[df["demand"] > 0] + df_supply = df[df["supply"] > 0] + # Balance demand and supply + tot_demand = sum(df_demand["demand"]) + tot_supply = sum(df_supply["supply"]) + if tot_demand > tot_supply: + df_supply = df_supply.append({'loc': "Dummy", + "demand": 0, + "supply": tot_demand - tot_supply, + "lat": 0, + "lon": 0, + "key": 1}, + ignore_index=True) + elif tot_supply > tot_demand: + df_demand = df_demand.append({"loc": "Dummy", + "demand": tot_supply - tot_demand, + "supply": 0, + "lat": 0, + "lon": 0, + "key": 1}, + ignore_index=True) + df_wt = pd.merge(df_supply, + df_demand, + on="key", + how="outer", + copy=False) + df_wt = df_wt.drop(labels=["key"], axis=1) + df_wt["dist"] = Transport.haversine_np(df_wt["lon_x"], + df_wt["lat_x"], + df_wt["lon_y"], + df_wt["lat_y"]) + df_wt = df_wt.sort_values(["loc_x", "loc_y"]) + df_wt.loc[(df_wt["loc_x"] == "Dummy") | (df_wt["loc_y"] == "Dummy"), + "dist"] = 0 + df_wt["cost"] = df_wt["dist"] * self._cost + ip_supply = dict(zip(df_supply["loc"].astype(str), + df_supply["supply"])) + ip_demand = dict(zip(df_demand["loc"].astype(str), + df_demand["demand"])) + df_wt = df_wt[["loc_x", "loc_y", "cost"]] + ip_costs = df_wt.set_index(["loc_x", "loc_y"]).cost.to_dict() + return (ip_demand, ip_supply, ip_costs) + + @staticmethod + def integer_program(demand: Dict[str, int], + supply: Dict[str, int], + costs: Dict[Tuple[str, str], float], + debug: bool = False + ) -> Tuple[str, + float, + List[Tuple[str, + str, + int]]]: + """ + Transportation Problem using Integer programming. + + Parameters + ---------- + demand : dict + + Dict containing location, demand as key value pair. + + supply : dict + + Dict containing location, supply as key value pair. + + costs : dict + + Dict containing (suppy_node, demand_node), costs + as key value pair. + + debug : bool, optional + + Print log in console (the default is False) + + Returns + ------- + list + Containing the following:: + + Optimization solution status : str + Objective function value in real number : float + Optimal path with costs : list of tuples + (supply_node, demand_node, units) + + Example + ------- + >>> optimal_op = Transport.integer_program(demand_dict, + supply_dict, + costs_list, + 1) + + """ + supply_node = supply.keys() + demand_node = demand.keys() + # Integer programming + model = pulp.LpProblem("Transportation problem", pulp.LpMinimize) + Routes = [(s, d) for s in supply_node for d in demand_node] + route_vars = pulp.LpVariable.dicts("Route", + (supply_node, demand_node), + lowBound=0, + upBound=None, + cat=pulp.LpInteger) + # Objective function + model += pulp.lpSum([route_vars[s][d] * costs[(s, d)] + for (s, d) in Routes]) + # Con 01: Supply maximum constraints are added to model for each + # supply node + for s in supply_node: + model += pulp.lpSum([route_vars[s][d] + for d in demand_node]) <= supply[s] + # Con 02: The demand minimum constraints are added to model for each + # demand node + for d in demand_node: + model += pulp.lpSum([route_vars[s][d] + for s in supply_node]) >= demand[d] + # Solve + debug = int(debug is True) + pulp.LpSolverDefault.msg = debug + model.solve() + route_list = [(v.name.split("_")[1], v.name.split("_")[2], v.varValue) + for v in model.variables() if v.varValue > 0] + ip_op = (pulp.LpStatus[model.status], + model.objective.value(), + route_list) + return ip_op + + def solve(self, debug: bool = False) -> List[Tuple[str, str, int]]: + """ + Transportation Problem using Integer programming. + + Parameters + ---------- + :debug: int (binary), optional + + Print log in console when 1, 0 otherwise (the default is 0) + + Returns + ------- + list of tuples + Containing the following:: + + Optimal path with costs : (supply_node, demand_node, units) + + """ + self._inputs = self._opt_ip() + self.output = Transport.integer_program(demand=self._inputs[0], + supply=self._inputs[1], + costs=self._inputs[2], + debug=debug) + return self.output[2] + + def summary(self): # pragma: no cover + """Print summary for optimization results.""" + print("Summary:\n") + print("Total demand:", sum(self._ori_demand)) + print("Total supply:", sum(self._ori_supply)) + if sum(self._ori_demand) > sum(self._ori_supply): + print("Deficit:", sum(self._ori_demand) - sum(self._ori_supply)) + elif sum(self._ori_supply) > sum(self._ori_demand): + print("Surplus:", sum(self._ori_supply) - sum(self._ori_demand)) + print("Optimization status:", self.output[0]) + if self.output[0] == "Optimal": + print("Total cost:", np.round(self.output[1], decimals=2)) diff --git a/requirements.txt b/requirements.txt index 7715ab9..1f65666 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,5 +1,7 @@ Cython==0.29.15 numpy==1.19.5 -pandas==1.1.3 +PuLP==1.6.8 xgboost==1.3.3 +pandas==1.1.3 +dataclasses==0.8 scikit_learn==1.0 diff --git a/tests/test_opt.py b/tests/test_opt.py new file mode 100644 index 0000000..1411a33 --- /dev/null +++ b/tests/test_opt.py @@ -0,0 +1,140 @@ +""" +Unit tests for opt.py module. + +Author +------ +:: + + Author: Diptesh Basak + Date: Jun 16, 2019 + License: BSD 3-Clause +""" + +# pylint: disable=invalid-name +# pylint: disable=wrong-import-position + +import unittest +import warnings +import re +import sys + +from inspect import getsourcefile +from os.path import abspath + +import pandas as pd +import numpy as np + +# Set base path +path = abspath(getsourcefile(lambda: 0)) +path = re.sub(r"(.+)(\/tests.*)", "\\1", path) + +sys.path.insert(0, path) + +from mllib.lib.opt import TSP # noqa: F841 +from mllib.lib.opt import Transport # noqa: F841 + +# ============================================================================= +# --- User defined functions +# ============================================================================= + + +class Test_TSP(unittest.TestCase): + """Test suite for TSP module.""" + + def setUp(self): + """Setup for module ``Test_TSP``.""" + warnings.simplefilter('ignore') + + def test_ip(self): + """TSP: Integer programming""" + df_ip = pd.read_csv(path + "/data/input/us_city.csv") + df_ip = df_ip.iloc[:10, :] + tsp = TSP() + opt = tsp.solve(loc=df_ip["city"].tolist(), + lat=df_ip["lat"].tolist(), + lon=df_ip["lng"].tolist(), + debug=False) + self.assertEqual(np.round(opt[1], 0), 626.0) + + def test_nn(self): + """TSP: Nearest neighbor algorithm""" + df_ip = pd.read_csv(path + "/data/input/us_city.csv") + df_ip = df_ip.iloc[:50, :] + tsp = TSP() + opt = tsp.solve(loc=df_ip["city"].tolist(), + lat=df_ip["lat"].tolist(), + lon=df_ip["lng"].tolist(), + debug=False) + self.assertEqual(np.round(opt[1], 0), 1402.0) + + +class Test_TP(unittest.TestCase): + """Test suite for transportation problem.""" + + def setUp(self): + """Setup for module ``Test_TP``.""" + warnings.simplefilter('ignore') + + def test_transport_balanced(self): + """TP: Balanced problem""" + c_loc = ["1", "5", "10", "11", "100", "127", "324"] + c_demand = [20, 10, 15, 0, 0, 25, 0] + c_supply = [0, 0, 0, 30, 12, 0, 28] + c_lat = [42.1, 43.0, 40.3, 46.8, 43.9, 41.6, 45.2] + c_lon = [-102.1, -103.0, -100.3, -106.8, -103.9, -101.6, -105.2] + prob = Transport(c_loc, c_demand, c_supply, c_lat, c_lon, 1) + opt_out = prob.solve(0) + self.assertEqual(np.round(prob.output[1], decimals=2), 23856.39) + exp_op = [('100', '1', 2), + ('100', '5', 10), + ('11', '10', 15), + ('11', '127', 15), + ('324', '1', 18), + ('324', '127', 10)] + self.assertEqual(opt_out, exp_op) + + def test_transport_unbalanced_demand(self): + """TP: Unbalanced problem when Demand > Supply""" + c_loc = ["1", "5", "10", "11", "100", "127", "324"] + c_demand = [20, 10, 15, 0, 0, 250, 0] + c_supply = [0, 0, 0, 30, 12, 0, 28] + c_lat = [42.1, 43.0, 40.3, 46.8, 43.9, 41.6, 45.2] + c_lon = [-102.1, -103.0, -100.3, -106.8, -103.9, -101.6, -105.2] + prob = Transport(c_loc, c_demand, c_supply, c_lat, c_lon, 1) + opt_out = prob.solve(0) + self.assertEqual(np.round(prob.output[1], decimals=2), 22170.26) + exp_op = [('100', '1', 2), + ('100', '5', 10), + ('11', '127', 30), + ('324', '1', 18), + ('324', '127', 10), + ('Dummy', '10', 15), + ('Dummy', '127', 210)] + self.assertEqual(opt_out, exp_op) + + def test_transport_unbalanced_supply(self): + """TP: Unbalanced problem when Supply > Demand""" + c_loc = ["1", "5", "10", "11", "100", "127", "324"] + c_demand = [20, 10, 15, 0, 0, 25, 0] + c_supply = [0, 0, 0, 30, 12, 0, 280] + c_lat = [42.1, 43.0, 40.3, 46.8, 43.9, 41.6, 45.2] + c_lon = [-102.1, -103.0, -100.3, -106.8, -103.9, -101.6, -105.2] + prob = Transport(c_loc, c_demand, c_supply, c_lat, c_lon, 1) + opt_out = prob.solve(0) + self.assertEqual(np.round(prob.output[1], decimals=2), 19822.6) + exp_op = [('100', '1', 2), + ('100', '5', 10), + ('11', 'Dummy', 30), + ('324', '1', 18), + ('324', '10', 15), + ('324', '127', 25), + ('324', 'Dummy', 222)] + self.assertEqual(opt_out, exp_op) + + +# ============================================================================= +# --- Main +# ============================================================================= + +if __name__ == '__main__': + unittest.main() From 91fbaa505b1a6afdb5195c425a5c77ce26c3530b Mon Sep 17 00:00:00 2001 From: MadhuTangudu Date: Wed, 29 Sep 2021 01:22:07 +0530 Subject: [PATCH 065/116] v0.4.0 changelog: - latex document added --- docs/latex/Approach.aux | 10 + docs/latex/Approach.bbl | 0 docs/latex/Approach.blg | 48 +++ docs/latex/Approach.dvi | Bin 0 -> 2052 bytes docs/latex/Approach.glg | 4 + docs/latex/Approach.glo | 0 docs/latex/Approach.gls | 1 + docs/latex/Approach.ist | 31 ++ docs/latex/Approach.log | 619 +++++++++++++++++++++++++++++++++ docs/latex/Approach.lot | 0 docs/latex/Approach.pdf | Bin 0 -> 118477 bytes docs/latex/Approach.sbl | 31 ++ 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docs/latex/Approach.fls | 200 ++++++++++++++++++++++++++ docs/latex/Approach.glg | 11 +- docs/latex/Approach.log | 248 ++++++++++++-------------------- docs/latex/Approach.pdf | Bin 118477 -> 125099 bytes docs/latex/Approach.sbl | 57 ++++---- docs/latex/Approach.sym | 21 ++- docs/latex/Approach.synctex.gz | Bin 7750 -> 10385 bytes docs/latex/Approach.tex | 36 ++--- docs/latex/Approach.toc | 1 + 11 files changed, 499 insertions(+), 206 deletions(-) create mode 100644 docs/latex/Approach.fdb_latexmk create mode 100644 docs/latex/Approach.fls diff --git a/docs/latex/Approach.aux b/docs/latex/Approach.aux index 07b9e0b..9976960 100644 --- a/docs/latex/Approach.aux +++ b/docs/latex/Approach.aux @@ -8,3 +8,8 @@ \@glsorder{word} \@writefile{toc}{\contentsline {section}{\numberline {1}Travelling Salesman Problem}{3}\protected@file@percent } \newlabel{section:obj}{{1}{3}{Travelling Salesman Problem}{}{}} +\gdef \LT@i {\LT@entry + {1}{27.32759pt}\LT@entry + {1}{219.0021pt}\LT@entry + 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Use \makeglossaries instead. If you (glossaries) need the original definition of \makeglossary use (glossaries) the package options kernelglossredefs=false (to -(glossaries) restore the former definition of \makeglossary) and - -(glossaries) nomain (if the file extensions cause a conflict) on - input line 24. +(glossaries) restore the former definition of \makeglossary) and +(glossaries) nomain (if the file extensions cause a conflict) on input line 24. \glswrite=\write3 \glo@main@file=\write4 @@ -470,8 +412,7 @@ Package glossaries Info: Writing glossary file Approach.sbl on input line 24. File: l3backend-pdfmode.def 2020-02-03 L3 backend support: PDF mode \l__kernel_color_stack_int=\count300 \l__pdf_internal_box=\box103 -) -(./Approach.aux) +) (./Approach.aux) \openout1 = `Approach.aux'. LaTeX Font Info: Checking defaults for OML/cmm/m/it on input line 114. @@ -490,21 +431,17 @@ LaTeX Font Info: Checking defaults for U/cmr/m/n on input line 114. LaTeX Font Info: ... okay on input line 114. 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But perhaps the } is legitimate and +you forgot something else, as in `\hbox{$x}'. In such cases +the way to recover is to insert both the forgotten and the +deleted material, e.g., by typing `I$}'. + [1] (./Approach.toc) \tf@toc=\write6 \openout6 = `Approach.toc'. @@ -581,39 +524,24 @@ Underfull \hbox (badness 10000) in paragraph at lines 122--123 \openout7 = `Approach.lot'. 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-\glossaryentry{01?\glossentry{city_destination}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{02?\glossentry{city_set}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{02?\glossentry{distance}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{03?\glossentry{dv_xij}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{03?\glossentry{city_set}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{02?\glossentry{city_destination}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{03?\glossentry{city_set}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{05?\glossentry{distance}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{06?\glossentry{dv_xij}|setentrycounter[]{page}\glsnumberformat}{3} \glossaryentry{01?\glossentry{city_source}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{01?\glossentry{city_destination}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{04?\glossentry{av_ui}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{04?\glossentry{av_uj}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{02?\glossentry{city_destination}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{07?\glossentry{av_ui}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{08?\glossentry{av_uj}|setentrycounter[]{page}\glsnumberformat}{3} \glossaryentry{01?\glossentry{city_source}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{02?\glossentry{city_set}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{01?\glossentry{city_destination}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{02?\glossentry{city_set}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{03?\glossentry{dv_xij}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{02?\glossentry{distance}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{03?\glossentry{city_set}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{02?\glossentry{city_destination}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{03?\glossentry{city_set}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{06?\glossentry{dv_xij}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{05?\glossentry{distance}|setentrycounter[]{page}\glsnumberformat}{3} \glossaryentry{01?\glossentry{city_source}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{03?\glossentry{dv_xij}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{01?\glossentry{city_destination}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{01?\glossentry{city_destination}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{03?\glossentry{dv_xij}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{06?\glossentry{dv_xij}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{02?\glossentry{city_destination}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{02?\glossentry{city_destination}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{06?\glossentry{dv_xij}|setentrycounter[]{page}\glsnumberformat}{3} \glossaryentry{01?\glossentry{city_source}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{04?\glossentry{av_ui}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{04?\glossentry{av_uj}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{02?\glossentry{city_count}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{03?\glossentry{dv_xij}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{02?\glossentry{city_count}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{07?\glossentry{av_ui}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{08?\glossentry{av_uj}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{04?\glossentry{city_count}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{06?\glossentry{dv_xij}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{04?\glossentry{city_count}|setentrycounter[]{page}\glsnumberformat}{3} \glossaryentry{01?\glossentry{city_source}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{02?\glossentry{city_count}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{01?\glossentry{city_destination}|setentrycounter[]{page}\glsnumberformat}{3} -\glossaryentry{02?\glossentry{city_count}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{04?\glossentry{city_count}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{02?\glossentry{city_destination}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{04?\glossentry{city_count}|setentrycounter[]{page}\glsnumberformat}{3} +\glossaryentry{03?\glossentry{city_set}|setentrycounter[]{page}\glsnumberformat}{4} +\glossaryentry{01?\glossentry{city_source}|setentrycounter[]{page}\glsnumberformat}{4} +\glossaryentry{02?\glossentry{city_destination}|setentrycounter[]{page}\glsnumberformat}{4} +\glossaryentry{01?\glossentry{city_source}|setentrycounter[]{page}\glsnumberformat}{4} +\glossaryentry{02?\glossentry{city_destination}|setentrycounter[]{page}\glsnumberformat}{4} +\glossaryentry{01?\glossentry{city_source}|setentrycounter[]{page}\glsnumberformat}{4} +\glossaryentry{02?\glossentry{city_destination}|setentrycounter[]{page}\glsnumberformat}{4} diff --git a/docs/latex/Approach.sym b/docs/latex/Approach.sym index 7024956..d943c01 100644 --- a/docs/latex/Approach.sym +++ b/docs/latex/Approach.sym @@ -1 +1,20 @@ -\null +\glossarysection[\glossarytoctitle]{\glossarytitle}\glossarypreamble +\begin{theglossary}\glossaryheader +\glsgroupheading{glsnumbers}\relax \glsresetentrylist % +\glossentry{city_source}{\glossaryentrynumbers{\relax + \setentrycounter[]{page}\glsnumberformat{3\delimN 4}}}% 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LaTeX Info: Redefining \pageref on input line 356. -) (/usr/share/texlive/texmf-dist/tex/latex/base/inputenc.sty +) +(/usr/share/texlive/texmf-dist/tex/latex/base/inputenc.sty Package: inputenc 2018/08/11 v1.3c Input encoding file \inpenc@prehook=\toks23 \inpenc@posthook=\toks24 -) (/usr/share/texlive/texmf-dist/tex/latex/glossaries/base/glossaries.sty +) +(/usr/share/texlive/texmf-dist/tex/latex/glossaries/base/glossaries.sty Package: glossaries 2020/02/13 v4.45 (NLCT) - (/usr/share/texlive/texmf-dist/tex/latex/base/ifthen.sty + +(/usr/share/texlive/texmf-dist/tex/latex/base/ifthen.sty Package: ifthen 2014/09/29 v1.1c Standard LaTeX ifthen package (DPC) -) (/usr/share/texlive/texmf-dist/tex/latex/xkeyval/xkeyval.sty +) +(/usr/share/texlive/texmf-dist/tex/latex/xkeyval/xkeyval.sty Package: xkeyval 2014/12/03 v2.7a package option processing (HA) - (/usr/share/texlive/texmf-dist/tex/generic/xkeyval/xkeyval.tex + +(/usr/share/texlive/texmf-dist/tex/generic/xkeyval/xkeyval.tex (/usr/share/texlive/texmf-dist/tex/generic/xkeyval/xkvutils.tex \XKV@toks=\toks25 \XKV@tempa@toks=\toks26 ) \XKV@depth=\count272 File: xkeyval.tex 2014/12/03 v2.7a key=value parser (HA) -)) (/usr/share/texlive/texmf-dist/tex/latex/mfirstuc/mfirstuc.sty +)) +(/usr/share/texlive/texmf-dist/tex/latex/mfirstuc/mfirstuc.sty Package: mfirstuc 2017/11/14 v2.06 (NLCT) - (/usr/share/texlive/texmf-dist/tex/latex/etoolbox/etoolbox.sty + +(/usr/share/texlive/texmf-dist/tex/latex/etoolbox/etoolbox.sty Package: etoolbox 2019/09/21 v2.5h e-TeX tools for LaTeX (JAW) \etb@tempcnta=\count273 ) \@glsmfirst=\toks27 \@glsmrest=\toks28 -) (/usr/share/texlive/texmf-dist/tex/latex/textcase/textcase.sty +) +(/usr/share/texlive/texmf-dist/tex/latex/textcase/textcase.sty Package: textcase 2019/09/14 v1.00 Text only upper/lower case changing (DPC) -) (/usr/share/texlive/texmf-dist/tex/latex/xfor/xfor.sty +) +(/usr/share/texlive/texmf-dist/tex/latex/xfor/xfor.sty Package: xfor 2009/02/05 v1.05 (NLCT) -) (/usr/share/texlive/texmf-dist/tex/latex/datatool/datatool-base.sty +) +(/usr/share/texlive/texmf-dist/tex/latex/datatool/datatool-base.sty Package: datatool-base 2019/09/27 v2.32 (NLCT) - (/usr/share/texlive/texmf-dist/tex/latex/substr/substr.sty + +(/usr/share/texlive/texmf-dist/tex/latex/substr/substr.sty Package: substr 2009/10/20 v1.2 Handle substrings \c@su@anzahl=\count274 -) (/usr/share/texlive/texmf-dist/tex/latex/datatool/datatool-fp.sty +) +(/usr/share/texlive/texmf-dist/tex/latex/datatool/datatool-fp.sty Package: datatool-fp 2019/09/27 v2.32 (NLCT) - (/usr/share/texlive/texmf-dist/tex/latex/fp/fp.sty + +(/usr/share/texlive/texmf-dist/tex/latex/fp/fp.sty Package: fp 1995/04/02 - `Fixed Point Package', Version 0.8, April 2, 1995 (C) Michael Mehlich (/usr/share/texlive/texmf-dist/tex/latex/fp/defpattern.sty + +`Fixed Point Package', Version 0.8, April 2, 1995 (C) Michael Mehlich +(/usr/share/texlive/texmf-dist/tex/latex/fp/defpattern.sty Package: defpattern 1994/10/12 \actioncount=\count275 -) (/usr/share/texlive/texmf-dist/tex/latex/fp/fp-basic.sty +) +(/usr/share/texlive/texmf-dist/tex/latex/fp/fp-basic.sty Package: fp-basic 1996/05/13 \FP@xs=\count276 \FP@xia=\count277 @@ -301,25 +341,33 @@ Package: fp-basic 1996/05/13 \FP@regb=\count282 \FP@regs=\count283 \FP@times=\count284 -) (/usr/share/texlive/texmf-dist/tex/latex/fp/fp-addons.sty +) +(/usr/share/texlive/texmf-dist/tex/latex/fp/fp-addons.sty Package: fp-addons 1995/03/15 -) (/usr/share/texlive/texmf-dist/tex/latex/fp/fp-snap.sty +) +(/usr/share/texlive/texmf-dist/tex/latex/fp/fp-snap.sty Package: fp-snap 1995/04/05 -) (/usr/share/texlive/texmf-dist/tex/latex/fp/fp-exp.sty +) +(/usr/share/texlive/texmf-dist/tex/latex/fp/fp-exp.sty Package: fp-exp 1995/04/03 -) (/usr/share/texlive/texmf-dist/tex/latex/fp/fp-trigo.sty +) +(/usr/share/texlive/texmf-dist/tex/latex/fp/fp-trigo.sty Package: fp-trigo 1995/04/14 ) (/usr/share/texlive/texmf-dist/tex/latex/fp/fp-pas.sty Package: fp-pas 1994/08/29 -) (/usr/share/texlive/texmf-dist/tex/latex/fp/fp-random.sty +) +(/usr/share/texlive/texmf-dist/tex/latex/fp/fp-random.sty Package: fp-random 1995/02/23 \FPseed=\count285 -) (/usr/share/texlive/texmf-dist/tex/latex/fp/fp-eqn.sty +) +(/usr/share/texlive/texmf-dist/tex/latex/fp/fp-eqn.sty Package: fp-eqn 1995/04/03 -) (/usr/share/texlive/texmf-dist/tex/latex/fp/fp-upn.sty +) +(/usr/share/texlive/texmf-dist/tex/latex/fp/fp-upn.sty Package: fp-upn 1996/10/21 -) (/usr/share/texlive/texmf-dist/tex/latex/fp/fp-eval.sty +) +(/usr/share/texlive/texmf-dist/tex/latex/fp/fp-eval.sty Package: fp-eval 1995/04/03 ))) \@dtl@toks=\toks29 @@ -331,7 +379,9 @@ Package: fp-eval 1995/04/03 \dtl@codeA=\count290 \dtl@codeB=\count291 \@dtl@foreach@level=\count292 -) (/usr/share/texlive/texmf-dist/tex/latex/glossaries/base/glossaries-compatible-307.sty +) +(/usr/share/texlive/texmf-dist/tex/latex/glossaries/base/glossaries-compatible- +307.sty Package: glossaries-compatible-307 2020/02/13 v4.45 (NLCT) ) \gls@level=\count293 @@ -341,14 +391,17 @@ Package: glossaries-compatible-307 2020/02/13 v4.45 (NLCT) \glslabeltok=\toks32 \glsshorttok=\toks33 \glslongtok=\toks34 - (/usr/share/texlive/texmf-dist/tex/latex/glossaries/styles/glossary-hypernav.sty + +(/usr/share/texlive/texmf-dist/tex/latex/glossaries/styles/glossary-hypernav.st +y Package: glossary-hypernav 2020/02/13 v4.45 (NLCT) ) (/usr/share/texlive/texmf-dist/tex/latex/glossaries/styles/glossary-list.sty Package: glossary-list 2020/02/13 v4.45 (NLCT) \glslistdottedwidth=\skip64 ) (/usr/share/texlive/texmf-dist/tex/latex/glossaries/styles/glossary-long.sty Package: glossary-long 2020/02/13 v4.45 (NLCT) - (/usr/share/texlive/texmf-dist/tex/latex/tools/longtable.sty + +(/usr/share/texlive/texmf-dist/tex/latex/tools/longtable.sty Package: longtable 2020/01/07 v4.13 Multi-page Table package (DPC) \LTleft=\skip65 \LTright=\skip66 @@ -368,9 +421,11 @@ Package: longtable 2020/01/07 v4.13 Multi-page Table package (DPC) ) \glsdescwidth=\skip69 \glspagelistwidth=\skip70 -) (/usr/share/texlive/texmf-dist/tex/latex/glossaries/styles/glossary-super.sty +) +(/usr/share/texlive/texmf-dist/tex/latex/glossaries/styles/glossary-super.sty Package: glossary-super 2020/02/13 v4.45 (NLCT) - (/usr/share/texlive/texmf-dist/tex/latex/supertabular/supertabular.sty + +(/usr/share/texlive/texmf-dist/tex/latex/supertabular/supertabular.sty Package: supertabular 2020/02/02 v4.1g the supertabular environment \c@tracingst=\count299 \ST@wd=\dimen172 @@ -387,7 +442,8 @@ Package: supertabular 2020/02/02 v4.1g the supertabular environment \ST@toadd=\dimen180 \ST@dimen=\dimen181 \ST@pbox=\box102 -)) (/usr/share/texlive/texmf-dist/tex/latex/glossaries/styles/glossary-tree.sty +)) +(/usr/share/texlive/texmf-dist/tex/latex/glossaries/styles/glossary-tree.sty Package: glossary-tree 2020/02/13 v4.45 (NLCT) \glstreeindent=\skip74 )) @@ -396,8 +452,10 @@ Package glossaries Warning: Use of \makeglossary with glossaries.sty is (glossaries) deprecated. Use \makeglossaries instead. If you (glossaries) need the original definition of \makeglossary use (glossaries) the package options kernelglossredefs=false (to -(glossaries) restore the former definition of \makeglossary) and -(glossaries) nomain (if the file extensions cause a conflict) on input line 24. +(glossaries) restore the former definition of \makeglossary) and + +(glossaries) nomain (if the file extensions cause a conflict) on + input line 24. \glswrite=\write3 \glo@main@file=\write4 @@ -412,36 +470,41 @@ Package glossaries Info: Writing glossary file Approach.sbl on input line 24. File: l3backend-pdfmode.def 2020-02-03 L3 backend support: PDF mode \l__kernel_color_stack_int=\count300 \l__pdf_internal_box=\box103 -) (./Approach.aux) +) +(./Approach.aux) \openout1 = `Approach.aux'. -LaTeX Font Info: Checking defaults for OML/cmm/m/it on input line 114. -LaTeX Font Info: ... okay on input line 114. -LaTeX Font Info: Checking defaults for OMS/cmsy/m/n on input line 114. -LaTeX Font Info: ... okay on input line 114. -LaTeX Font Info: Checking defaults for OT1/cmr/m/n on input line 114. -LaTeX Font Info: ... okay on input line 114. -LaTeX Font Info: Checking defaults for T1/cmr/m/n on input line 114. -LaTeX Font Info: ... okay on input line 114. -LaTeX Font Info: Checking defaults for TS1/cmr/m/n on input line 114. -LaTeX Font Info: ... okay on input line 114. -LaTeX Font Info: Checking defaults for OMX/cmex/m/n on input line 114. -LaTeX Font Info: ... okay on input line 114. -LaTeX Font Info: Checking defaults for U/cmr/m/n on input line 114. -LaTeX Font Info: ... okay on input line 114. +LaTeX Font Info: Checking defaults for OML/cmm/m/it on input line 182. +LaTeX Font Info: ... okay on input line 182. +LaTeX Font Info: Checking defaults for OMS/cmsy/m/n on input line 182. +LaTeX Font Info: ... okay on input line 182. +LaTeX Font Info: Checking defaults for OT1/cmr/m/n on input line 182. +LaTeX Font Info: ... okay on input line 182. +LaTeX Font Info: Checking defaults for T1/cmr/m/n on input line 182. +LaTeX Font Info: ... okay on input line 182. +LaTeX Font Info: Checking defaults for TS1/cmr/m/n on input line 182. +LaTeX Font Info: ... okay on input line 182. +LaTeX Font Info: Checking defaults for OMX/cmex/m/n on input line 182. +LaTeX Font Info: ... okay on input line 182. +LaTeX Font Info: Checking defaults for U/cmr/m/n on input line 182. +LaTeX Font Info: ... okay on input line 182. (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphicx.sty Package: graphicx 2019/11/30 v1.2a Enhanced LaTeX Graphics (DPC,SPQR) - (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphics.sty +(/usr/share/texlive/texmf-dist/tex/latex/graphics/graphics.sty Package: graphics 2019/11/30 v1.4a Standard LaTeX Graphics (DPC,SPQR) - (/usr/share/texlive/texmf-dist/tex/latex/graphics/trig.sty + +(/usr/share/texlive/texmf-dist/tex/latex/graphics/trig.sty Package: trig 2016/01/03 v1.10 sin cos tan (DPC) -) (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/graphics.cfg +) +(/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/graphics.cfg File: graphics.cfg 2016/06/04 v1.11 sample graphics configuration ) Package graphics Info: Driver file: pdftex.def on input line 105. - (/usr/share/texlive/texmf-dist/tex/latex/graphics-def/pdftex.def + +(/usr/share/texlive/texmf-dist/tex/latex/graphics-def/pdftex.def File: pdftex.def 2018/01/08 v1.0l Graphics/color driver for pdftex - (/usr/share/texlive/texmf-dist/tex/context/base/mkii/supp-pdf.mkii + +(/usr/share/texlive/texmf-dist/tex/context/base/mkii/supp-pdf.mkii [Loading MPS to PDF converter (version 2006.09.02).] \scratchcounter=\count301 \scratchdimen=\dimen182 @@ -456,9 +519,12 @@ File: pdftex.def 2018/01/08 v1.0l Graphics/color driver for pdftex \everyMPtoPDFconversion=\toks37 ))) (/usr/share/texlive/texmf-dist/tex/latex/epstopdf-pkg/epstopdf-base.sty Package: epstopdf-base 2020-01-24 v2.11 Base part for package epstopdf -Package epstopdf-base Info: Redefining graphics rule for `.eps' on input line 485. - (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/epstopdf-sys.cfg -File: epstopdf-sys.cfg 2010/07/13 v1.3 Configuration of (r)epstopdf for TeX Live +Package epstopdf-base Info: Redefining graphics rule for `.eps' on input line 4 +85. + +(/usr/share/texlive/texmf-dist/tex/latex/latexconfig/epstopdf-sys.cfg +File: epstopdf-sys.cfg 2010/07/13 v1.3 Configuration of (r)epstopdf for TeX Liv +e )) \Gin@req@height=\dimen184 \Gin@req@width=\dimen185 @@ -502,19 +568,10 @@ File: epstopdf-sys.cfg 2010/07/13 v1.3 Configuration of (r)epstopdf for TeX Live \openout3 = `Approach.ist'. {/var/lib/texmf/fonts/map/pdftex/updmap/pdftex.map}] -Underfull \hbox (badness 10000) in paragraph at lines 122--123 +Underfull \hbox (badness 10000) in paragraph at lines 190--191 [] -./Approach.tex:132: Extra }, or forgotten \endgroup. -l.132 \end{itemize}} - -I've deleted a group-closing symbol because it seems to be -spurious, as in `$x}$'. But perhaps the } is legitimate and -you forgot something else, as in `\hbox{$x}'. In such cases -the way to recover is to insert both the forgotten and the -deleted material, e.g., by typing `I$}'. - [1] (./Approach.toc) \tf@toc=\write6 \openout6 = `Approach.toc'. @@ -524,21 +581,37 @@ deleted material, e.g., by typing `I$}'. \openout7 = `Approach.lot'. [2] -Overfull \hbox (39.48576pt too wide) detected at line 213 +Overfull \hbox (39.48576pt too wide) detected at line 282 [] [] + +Underfull \hbox (badness 10000) in paragraph at lines 300--301 + + [] + [3] (./Approach.gls) (./Approach.sym) [4] (./Approach.aux) ) Here is how much of TeX's memory you used: - 8015 strings out of 481239 - 121830 string characters out of 5920377 - 441845 words of memory out of 5000000 - 23103 multiletter control sequences out of 15000+600000 + 8256 strings out of 483140 + 126718 string characters out of 5965151 + 452281 words of memory out of 5000000 + 23100 multiletter control sequences out of 15000+600000 538402 words of font info for 45 fonts, out of 8000000 for 9000 - 1141 hyphenation exceptions out of 8191 - 51i,13n,47p,988b,508s stack positions out of 5000i,500n,10000p,200000b,80000s -{/usr/share/texmf/fonts/enc/dvips/cm-super/cm-super-ts1.enc} -Output written on Approach.pdf (5 pages, 125099 bytes). + 36 hyphenation exceptions out of 8191 + 51i,13n,47p,988b,535s stack positions out of 5000i,500n,10000p,200000b,80000s + +Output written on Approach.pdf (5 pages, 124847 bytes). 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a/docs/latex/Approach.tex b/docs/latex/Approach.tex index fa6f04d..daeaa71 100644 --- a/docs/latex/Approach.tex +++ b/docs/latex/Approach.tex @@ -29,7 +29,7 @@ type=symbols, name={\ensuremath{i}}, sort={01}, -description={Source City} +description={Source city} } \newglossaryentry{city_destination} @@ -37,7 +37,7 @@ type=symbols, name={\ensuremath{j}}, sort={02}, -description={Destination City} +description={Destination city} } \newglossaryentry{city_set} @@ -59,34 +59,102 @@ \newglossaryentry{distance} { type=symbols, -name={\ensuremath{D_{ij}}}, +name={\ensuremath{D_{\gls{city_source}\gls{city_destination}}}}, sort={05}, -description={Distance between \gls{city_source} and \gls{city_destination}} +description={Distance between source city \gls{city_source} and destination city \gls{city_destination}} } \newglossaryentry{dv_xij} { type=symbols, -name={\ensuremath{X_{ij}}}, +name={\ensuremath{X_{\gls{city_source}\gls{city_destination}}}}, sort={06}, -description={Binary flag, sales man travels from \gls{city_source} and \gls{city_destination}} +description={Binary flag, sales man travels from source city \gls{city_source} to desination city \gls{city_destination}} } \newglossaryentry{av_ui} { type=symbols, -name={\ensuremath{U_{i}}}, +name={\ensuremath{U_{\gls{city_source}}}}, sort={07}, -description={Integer, Artificial variable for \gls{city_source}} +description={Integer, artificial variable for source city \gls{city_source}} } \newglossaryentry{av_uj} { type=symbols, -name={\ensuremath{U_{j}}}, +name={\ensuremath{U_{\gls{city_destination}}}}, sort={08}, -description={Integer, Artificial variable for \gls{city_destination}} +description={Integer, artificial variable for destination city \gls{city_destination}} } + + +\newglossaryentry{supply_node} +{ +type=symbols, +name={\ensuremath{s}}, +sort={09}, +description={Supply node} +} + +\newglossaryentry{supply_set} +{ +type=symbols, +name={\ensuremath{S}}, +sort={091}, +description={List of supply nodes \gls{supply_node}} +} + +\newglossaryentry{demand_node} +{ +type=symbols, +name={\ensuremath{d}}, +sort={092}, +description={Demand node} +} + +\newglossaryentry{demand_set} +{ +type=symbols, +name={\ensuremath{D}}, +sort={093}, +description={List of demand nodes \gls{demand_node}} +} + + +\newglossaryentry{cost} +{ +type=symbols, +name={\ensuremath{C_{\gls{supply_node}\gls{demand_node}}}}, +sort={094}, +description={Cost to transport one unit from supply node \gls{supply_node} to demand node \gls{demand_node}} +} + +\newglossaryentry{dv_xsd} +{ +type=symbols, +name={\ensuremath{X_{\gls{supply_node}\gls{demand_node}}}}, +sort={095}, +description={Integer, quantity transported from supply node \gls{supply_node} to demand node \gls{demand_node}} +} + +\newglossaryentry{supply_qty} +{ +type=symbols, +name={\ensuremath{Q_{\gls{supply_node}}}}, +sort={096}, +description={Supply quantity for node \gls{supply_node}} +} + +\newglossaryentry{demand_qty} +{ +type=symbols, +name={\ensuremath{Q_{\gls{demand_node}}}}, +sort={097}, +description={Demand quantity for node \gls{demand_node}} +} + + %-------------------------------------------------------------------------------- %Title and section font sizes @@ -129,7 +197,7 @@ \begin{itemize} \item Travelling salesman problem \item Transportation problem -\end{itemize}} +\end{itemize} \end{abstract} @@ -146,7 +214,7 @@ \begin{multicols}{2} \section{Travelling Salesman Problem} -\label{section:obj} +\label{section:TSP} The travelling salesman problem (TSP) is about given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city exactly once and returns to the origin city @@ -194,6 +262,7 @@ \section{Travelling Salesman Problem} \min \sum_{\gls{city_source} \in \gls{city_set}} \sum_{\gls{city_destination} \in \gls{city_set}} \gls{dv_xij} \times \gls{distance} \end{equation} + \emph{s.t.} \\ % \vspace{2mm} @@ -211,6 +280,53 @@ \section{Travelling Salesman Problem} \begin{flalign} & \gls{av_ui} - \gls{av_uj} + \gls{city_count} \times \gls{dv_xij} = \gls{city_count} - 1 & \forall \gls{city_source} \in 1,2..\gls{city_count}-1 \hspace{2mm} \gls{city_destination} \in 2, 3 .. \gls{city_count} \end{flalign} + + +\section{Transportation Problem} +\label{section:Transportation} +Transportation problem is about goods being transported from a set of sources to a set of destinations subject to the supply and demand of the sources and destination respectively such that the total cost of transportation is minimized. It is also sometimes called as Hitchcock problem + +\begin{flushleft} +{ +\emph{Data Used:} +\begin{flalign} +\nonumber & \gls{supply_node} \in \gls{supply_set} & \\ +\nonumber & \gls{demand_node} \in \gls{demand_set} & \\ +\nonumber & \gls{cost}, \gls{supply_qty}, \gls{demand_qty} & +\end{flalign} +} +\end{flushleft} + +\emph{Decision variables:}\\ + +$ + \hspace{0.2cm} + \vspace{0.2cm} + \gls{dv_xsd} \in Integer +$ + +\emph{Objective function:} + +\begin{equation} +\min \sum_{\gls{supply_node} \in \gls{supply_set}} \sum_{\gls{demand_node} \in \gls{demand_set}} \gls{dv_xsd} \times \gls{cost} +\end{equation} + +\emph{s.t.} +\\ +% \vspace{2mm} +For a supply node, units shipped must be less than or equal to the supply quantity + +\begin{flalign} +& \sum_{\gls{demand_node} \in \gls{demand_set}} \gls{dv_xsd} <= \gls{supply_qty} & \forall \gls{supply_node} +\end{flalign} + +For a demand node, units shipped must be greater than or equal to the demand quantity + +\begin{flalign} +& \sum_{\gls{supply_node} \in \gls{supply_set}} \gls{dv_xsd} >= \gls{demand_qty} & \forall \gls{demand_node} +\end{flalign} + + \end{multicols} diff --git a/docs/latex/Approach.toc b/docs/latex/Approach.toc index 40e9040..4ba8b88 100644 --- a/docs/latex/Approach.toc +++ b/docs/latex/Approach.toc @@ -1,2 +1,3 @@ \contentsline {section}{\numberline {1}Travelling Salesman Problem}{3}% +\contentsline {section}{\numberline {2}Transportation Problem}{3}% \contentsline {section}{Nomenclature}{4}% From 0f5a79c631543e0a1f4ac087daf23837c3f62597 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Wed, 29 Sep 2021 14:49:21 +0530 Subject: [PATCH 068/116] v0.4.0 --- docs/latex/Approach.aux | 2 +- docs/latex/Approach.fdb_latexmk | 29 ++-- docs/latex/Approach.fls | 3 - docs/latex/Approach.glg | 6 +- docs/latex/Approach.log | 260 ++++++++++++-------------------- docs/latex/Approach.pdf | Bin 124847 -> 125066 bytes docs/latex/Approach.sbl | 14 ++ docs/latex/Approach.sym | 16 ++ docs/latex/Approach.synctex.gz | Bin 14981 -> 17534 bytes docs/latex/Approach.tex | 31 ++-- logs/pylint/lib-opt-py.out | 4 +- mllib/lib/opt.py | 6 +- requirements.txt | 4 +- 13 files changed, 165 insertions(+), 210 deletions(-) diff --git a/docs/latex/Approach.aux b/docs/latex/Approach.aux index 4683484..01b1fdd 100644 --- a/docs/latex/Approach.aux +++ b/docs/latex/Approach.aux @@ -11,7 +11,7 @@ \@writefile{toc}{\contentsline {section}{\numberline {2}Transportation Problem}{3}\protected@file@percent } \newlabel{section:Transportation}{{2}{3}{Transportation Problem}{}{}} \gdef \LT@i {\LT@entry - {1}{27.32759pt}\LT@entry + {1}{28.72194pt}\LT@entry {1}{219.0021pt}\LT@entry {1}{46.5021pt}} \@writefile{toc}{\contentsline {section}{Nomenclature}{4}\protected@file@percent } diff --git a/docs/latex/Approach.fdb_latexmk b/docs/latex/Approach.fdb_latexmk index de97501..ebaa17c 100644 --- a/docs/latex/Approach.fdb_latexmk +++ b/docs/latex/Approach.fdb_latexmk @@ -1,12 +1,11 @@ # Fdb version 3 -["cusdep glo gls Approach"] 0 "Approach.glo" "Approach.gls" "Approach" 1632892793 - "Approach.glo" 1632892764 0 d41d8cd98f00b204e9800998ecf8427e "pdflatex" +["cusdep glo gls Approach"] 0 "Approach.glo" "Approach.gls" "Approach" 1632906704 + "Approach.glo" 1632906703 0 d41d8cd98f00b204e9800998ecf8427e "pdflatex" (generated) "Approach.gls" -["pdflatex"] 1632892763 "Approach.tex" "Approach.pdf" "Approach" 1632892793 +["pdflatex"] 1632906703 "Approach.tex" "Approach.pdf" "Approach" 1632906704 "/etc/texmf/web2c/texmf.cnf" 1629013707 475 c0e671620eb5563b2130f56340a5fde8 "" "/usr/share/texlive/texmf-dist/fonts/map/fontname/texfonts.map" 1577235249 3524 cb3e574dea2d1052e39280babc910dc8 "" - "/usr/share/texlive/texmf-dist/fonts/tfm/jknappen/ec/tcrm1000.tfm" 1136768653 1536 e07581a4bb3136ece9eeb4c3ffab8233 "" "/usr/share/texlive/texmf-dist/fonts/tfm/public/amsfonts/cmextra/cmex7.tfm" 1246382020 1004 54797486969f23fa377b128694d548df "" "/usr/share/texlive/texmf-dist/fonts/tfm/public/amsfonts/cmextra/cmex8.tfm" 1246382020 988 bdf658c3bfc2d96d3c8b02cfc1c94c20 "" "/usr/share/texlive/texmf-dist/fonts/tfm/public/cm/cmbx10.tfm" 1136768653 1328 c834bbb027764024c09d3d2bf908b5f0 "" @@ -104,23 +103,21 @@ "/usr/share/texlive/texmf-dist/tex/latex/xfor/xfor.sty" 1233902931 2689 44855b72da58344b1c1d9b3087bce6ca "" "/usr/share/texlive/texmf-dist/tex/latex/xkeyval/xkeyval.sty" 1417732693 4962 9c1069474ff71dbc47d5006555e352d3 "" "/usr/share/texlive/texmf-dist/web2c/texmf.cnf" 1581979058 38841 ce3692aa899bb693b90b87eaa5d4d84e "" - 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"Approach.ist" "Approach.log" - "Approach.pdf" - "Approach.toc" - "Approach.lot" diff --git a/docs/latex/Approach.fls b/docs/latex/Approach.fls index 08c285c..f1156fe 100644 --- a/docs/latex/Approach.fls +++ b/docs/latex/Approach.fls @@ -166,7 +166,6 @@ OUTPUT Approach.ist INPUT /var/lib/texmf/fonts/map/pdftex/updmap/pdftex.map INPUT /usr/share/texlive/texmf-dist/fonts/tfm/public/cm/cmbx10.tfm INPUT /usr/share/texlive/texmf-dist/fonts/tfm/public/cm/cmbx12.tfm -INPUT /usr/share/texlive/texmf-dist/fonts/tfm/jknappen/ec/tcrm1000.tfm INPUT /usr/share/texlive/texmf-dist/fonts/tfm/public/cm/cmr12.tfm INPUT /usr/share/texlive/texmf-dist/fonts/tfm/public/cm/cmbx12.tfm INPUT Approach.toc @@ -185,7 +184,6 @@ INPUT Approach.sym INPUT Approach.sym INPUT Approach.sym INPUT Approach.aux -INPUT /usr/share/texmf/fonts/enc/dvips/cm-super/cm-super-ts1.enc INPUT /usr/share/texlive/texmf-dist/fonts/type1/public/amsfonts/cm/cmbx10.pfb INPUT /usr/share/texlive/texmf-dist/fonts/type1/public/amsfonts/cm/cmbx12.pfb INPUT /usr/share/texlive/texmf-dist/fonts/type1/public/amsfonts/cm/cmex10.pfb @@ -197,4 +195,3 @@ INPUT /usr/share/texlive/texmf-dist/fonts/type1/public/amsfonts/cm/cmr17.pfb INPUT /usr/share/texlive/texmf-dist/fonts/type1/public/amsfonts/cm/cmsy10.pfb INPUT /usr/share/texlive/texmf-dist/fonts/type1/public/amsfonts/cm/cmsy7.pfb INPUT /usr/share/texlive/texmf-dist/fonts/type1/public/amsfonts/cm/cmti10.pfb -INPUT /usr/share/texmf/fonts/type1/public/cm-super/sfrm1000.pfb diff --git a/docs/latex/Approach.glg b/docs/latex/Approach.glg index 76d168e..5744112 100644 --- a/docs/latex/Approach.glg +++ b/docs/latex/Approach.glg @@ -1,7 +1,7 @@ This is makeindex, version 2.15 [TeX Live 2019] (kpathsea + Thai support). Scanning style file ./Approach.ist.............................done (29 attributes redefined, 0 ignored). -Scanning input file Approach.sbl....done (38 entries accepted, 0 rejected). -Sorting entries....done (225 comparisons). -Generating output file Approach.sym....done (20 lines written, 0 warnings). +Scanning input file Approach.sbl....done (102 entries accepted, 0 rejected). +Sorting entries....done (813 comparisons). +Generating output file Approach.sym....done (36 lines written, 0 warnings). Output written in Approach.sym. 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Use \makeglossaries instead. If you (glossaries) need the original definition of \makeglossary use (glossaries) the package options kernelglossredefs=false (to -(glossaries) restore the former definition of \makeglossary) and - -(glossaries) nomain (if the file extensions cause a conflict) on - input line 24. +(glossaries) restore the former definition of \makeglossary) and +(glossaries) nomain (if the file extensions cause a conflict) on input line 24. \glswrite=\write3 \glo@main@file=\write4 @@ -470,8 +412,7 @@ Package glossaries Info: Writing glossary file Approach.sbl on input line 24. File: l3backend-pdfmode.def 2020-02-03 L3 backend support: PDF mode \l__kernel_color_stack_int=\count300 \l__pdf_internal_box=\box103 -) -(./Approach.aux) +) (./Approach.aux) \openout1 = `Approach.aux'. LaTeX Font Info: Checking defaults for OML/cmm/m/it on input line 182. @@ -490,21 +431,17 @@ LaTeX Font Info: Checking defaults for U/cmr/m/n on input line 182. LaTeX Font Info: ... okay on input line 182. 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b/docs/latex/Approach.sbl @@ -100,3 +100,17 @@ \glossaryentry{01?\glossentry{city_source}|setentrycounter[]{page}\glsnumberformat}{4} \glossaryentry{02?\glossentry{city_destination}|setentrycounter[]{page}\glsnumberformat}{4} \glossaryentry{02?\glossentry{city_destination}|setentrycounter[]{page}\glsnumberformat}{4} +\glossaryentry{09?\glossentry{supply_node}|setentrycounter[]{page}\glsnumberformat}{4} +\glossaryentry{092?\glossentry{demand_node}|setentrycounter[]{page}\glsnumberformat}{4} +\glossaryentry{09?\glossentry{supply_node}|setentrycounter[]{page}\glsnumberformat}{4} +\glossaryentry{092?\glossentry{demand_node}|setentrycounter[]{page}\glsnumberformat}{4} +\glossaryentry{09?\glossentry{supply_node}|setentrycounter[]{page}\glsnumberformat}{4} +\glossaryentry{092?\glossentry{demand_node}|setentrycounter[]{page}\glsnumberformat}{4} +\glossaryentry{09?\glossentry{supply_node}|setentrycounter[]{page}\glsnumberformat}{4} +\glossaryentry{092?\glossentry{demand_node}|setentrycounter[]{page}\glsnumberformat}{4} +\glossaryentry{09?\glossentry{supply_node}|setentrycounter[]{page}\glsnumberformat}{4} +\glossaryentry{092?\glossentry{demand_node}|setentrycounter[]{page}\glsnumberformat}{4} +\glossaryentry{09?\glossentry{supply_node}|setentrycounter[]{page}\glsnumberformat}{4} +\glossaryentry{09?\glossentry{supply_node}|setentrycounter[]{page}\glsnumberformat}{4} +\glossaryentry{092?\glossentry{demand_node}|setentrycounter[]{page}\glsnumberformat}{4} +\glossaryentry{092?\glossentry{demand_node}|setentrycounter[]{page}\glsnumberformat}{4} diff --git a/docs/latex/Approach.sym b/docs/latex/Approach.sym index d943c01..8dfaec2 100644 --- a/docs/latex/Approach.sym +++ b/docs/latex/Approach.sym @@ -17,4 +17,20 @@ \setentrycounter[]{page}\glsnumberformat{3}}}% \glossentry{av_uj}{\glossaryentrynumbers{\relax \setentrycounter[]{page}\glsnumberformat{3}}}% +\glossentry{supply_node}{\glossaryentrynumbers{\relax + 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programming. Parameters ---------- diff --git a/requirements.txt b/requirements.txt index 1f65666..43c0c55 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,7 +1,7 @@ -Cython==0.29.15 numpy==1.19.5 PuLP==1.6.8 -xgboost==1.3.3 +Cython==0.29.15 pandas==1.1.3 +xgboost==1.3.3 dataclasses==0.8 scikit_learn==1.0 From 5fba54d74ea46c063e87deafed1a8103a920eec8 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Wed, 29 Sep 2021 14:52:05 +0530 Subject: [PATCH 069/116] v0.4.0 --- README.md | 2 +- docs/Approach.pdf | Bin 0 -> 125066 bytes 2 files changed, 1 insertion(+), 1 deletion(-) create mode 100644 docs/Approach.pdf diff --git a/README.md b/README.md index 9be7aef..a5495db 100644 --- a/README.md +++ b/README.md @@ -12,7 +12,7 @@ 1. [Version control](./README.md#version-control) 1. [Contribution guidelines](./.github/CONTRIBUTING.md) 1. [Project documents](./docs) - 1. [Approach - WIP](./docs/Approach.pdf) + 1. [Approach](./docs/Approach.pdf) 1. [Pull request guidelines](./.github/PULL_REQUEST_TEMPLATE.md) 1. [Initial setup](./README.md#initial-setup) 1. [Unit tests](./README.md#run-unit-tests-and-pylint-ratings) diff --git a/docs/Approach.pdf b/docs/Approach.pdf new file mode 100644 index 0000000000000000000000000000000000000000..162d18932cf3e932f283f8475b2ee65c3ef4f177 GIT binary patch literal 125066 zcmb5TQ?VsgPuGhW4P;$fO?J{Fg{GAh}T^*)seysU?X zO6Bdy!vG2T?4#;rn!+aqts?6qa?_Qbuvaf+fl1TP(k>Zunp-7jWgLfWImMOWiwcN3 zV`eivof6&#hich+WOs{@D`)pqeW2Dn%CixgIDZmg)+$ermAub6hQ#+IYH;4a3 z|5yHu4F4Sn78a)eH4vssvT->KFx^koPB2Q6l0YQaHPkIiZ)z!9R`5LI)S4l2A@%Y% zb#=%?)>V-~3B0e<>mD|Var!2*{{~DHAs2NbPOB3$DHI!(92cLDGkiO3d~Lb&dRgQr z&d5BZIVKK{+*#79_aj}5AHNfm@T}xX%o|sa(GrL$i~Y~X-;T8(F)UasG<72`=@%lnX90`i!1~b_VnEe_#}s?C@t${P6%a!1kl-O>=}_ zc3#Jd(SXypx%=wC4A(q(Cua}lT;IGVFFc!n#MeBz<-t+1M)FSkvG#c#Y-p;HUK1QO z0?QX3*4DLmU@1GBrLP&Uz{4Y#w5d=&>&jj2;N2g<2DW(cP`9H41mJ60+qnOLQmWb`F#E*RWM8Yyp3Q01` zGipIQn;m9&%491^b+`V7|5G`;ekPtN4i;{nwK3keB%khor0Yj9Hw&zg5>&X>$o_FZ zZKhSc?9N3`XbdOr&x-nVOdMxLCMDM_kmeYA*!=jI_5;T4pKbadn85nqnZWe_g9*Cv 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--git a/logs/cov.out b/logs/cov.out index 6057f98..cbee523 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -5,7 +5,7 @@ Name Stmts Miss Cover /media/ph33r/Data/Project/mllib/Git/mllib/lib/cluster.py 103 0 100% /media/ph33r/Data/Project/mllib/Git/mllib/lib/knn.py 70 0 100% /media/ph33r/Data/Project/mllib/Git/mllib/lib/model.py 44 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/opt.py 158 0 100% +/media/ph33r/Data/Project/mllib/Git/mllib/lib/opt.py 157 0 100% /media/ph33r/Data/Project/mllib/Git/mllib/lib/tree.py 79 0 100% ----------------------------------------------------------------------------------------- -TOTAL 468 0 100% +TOTAL 467 0 100% diff --git a/mllib/lib/opt.py b/mllib/lib/opt.py index 2c0e1ca..fe529bd 100644 --- a/mllib/lib/opt.py +++ b/mllib/lib/opt.py @@ -31,7 +31,6 @@ # --- Import libraries # ============================================================================= -from dataclasses import dataclass from typing import List, Tuple, Dict import copy @@ -45,7 +44,6 @@ # ============================================================================= -@dataclass class TSP: """ Travelling salesman problem. diff --git a/requirements.txt b/requirements.txt index 43c0c55..c5583d6 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,7 +1,6 @@ -numpy==1.19.5 +xgboost==1.3.3 PuLP==1.6.8 -Cython==0.29.15 pandas==1.1.3 -xgboost==1.3.3 -dataclasses==0.8 +numpy==1.19.5 +Cython==0.29.15 scikit_learn==1.0 From fc554814593349dfa06f64b48bfd0309183e6c6a Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sat, 2 Oct 2021 15:32:25 +0530 Subject: [PATCH 071/116] v0.4.0 --- mllib/__main__.py | 11 +++++++++-- requirements.txt | 4 ++-- 2 files changed, 11 insertions(+), 4 deletions(-) diff --git a/mllib/__main__.py b/mllib/__main__.py index 6286c01..281ff07 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -79,6 +79,7 @@ print("Clustering\n", "optimal k = " + str(clus_sol.optimal_k), elapsed_time("Time", start_t), + sep, sep="\n") # --- GLMNet start_t = time.time_ns() @@ -90,6 +91,7 @@ for k, v in glm_mod.model_summary.items(): print(k, str(v).rjust(69 - len(k))) print(elapsed_time("Time", start_t), + sep, sep="\n") # --- KNN start_t = time.time_ns() @@ -99,6 +101,7 @@ for k, v in mod.model_summary.items(): print(k, str(v).rjust(69 - len(k))) print(elapsed_time("Time", start_t), + sep, sep="\n") # --- Random forest start_t = time.time_ns() @@ -110,6 +113,7 @@ for k, v in mod.model_summary.items(): print(k, str(v).rjust(69 - len(k))) print(elapsed_time("Time", start_t), + sep, sep="\n") # --- XGBoost start_t = time.time_ns() @@ -121,6 +125,7 @@ for k, v in mod.model_summary.items(): print(k, str(v).rjust(69 - len(k))) print(elapsed_time("Time", start_t), + sep, sep="\n") # --- Travelling salesman start_t = time.time_ns() @@ -131,9 +136,10 @@ lat=df_ip["lat"].tolist(), lon=df_ip["lng"].tolist(), debug=False) - print("\nTSP\n") + print("\nTravelling salesman problem\n") print("Optimal value:", round(opt[1], 3)) print(elapsed_time("Time", start_t), + sep, sep="\n") # --- Transportation start_t = time.time_ns() @@ -144,8 +150,9 @@ c_lon = [-102.1, -103.0, -100.3, -106.8, -103.9, -101.6, -105.2] prob = Transport(c_loc, c_demand, c_supply, c_lat, c_lon, 1) opt_out = prob.solve(0) - print("\nTransportation\n") + print("\nTransportation problem\n") print(elapsed_time("Time", start_t), + sep, sep="\n") # --- EOF print(sep, elapsed_time("Total time", start), sep, sep="\n") diff --git a/requirements.txt b/requirements.txt index c5583d6..601ed65 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,6 +1,6 @@ -xgboost==1.3.3 -PuLP==1.6.8 pandas==1.1.3 numpy==1.19.5 +PuLP==1.6.8 Cython==0.29.15 +xgboost==1.3.3 scikit_learn==1.0 From c1c7c07e48d024d935ee7de216dd18682036e6fa Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Mon, 4 Oct 2021 21:57:59 +0530 Subject: [PATCH 072/116] v0.4.0 changelog: - added TimeSeries module with associated tests. --- data/input/test_time_series.xlsx | Bin 0 -> 291060 bytes 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+1951-11,146 +1951-12,166 +1952-01,171 +1952-02,180 +1952-03,193 +1952-04,181 +1952-05,183 +1952-06,218 +1952-07,230 +1952-08,242 +1952-09,209 +1952-10,191 +1952-11,172 +1952-12,194 +1953-01,196 +1953-02,196 +1953-03,236 +1953-04,235 +1953-05,229 +1953-06,243 +1953-07,264 +1953-08,272 +1953-09,237 +1953-10,211 +1953-11,180 +1953-12,201 +1954-01,204 +1954-02,188 +1954-03,235 +1954-04,227 +1954-05,234 +1954-06,264 +1954-07,302 +1954-08,293 +1954-09,259 +1954-10,229 +1954-11,203 +1954-12,229 +1955-01,242 +1955-02,233 +1955-03,267 +1955-04,269 +1955-05,270 +1955-06,315 +1955-07,364 +1955-08,347 +1955-09,312 +1955-10,274 +1955-11,237 +1955-12,278 +1956-01,284 +1956-02,277 +1956-03,317 +1956-04,313 +1956-05,318 +1956-06,374 +1956-07,413 +1956-08,405 +1956-09,355 +1956-10,306 +1956-11,271 +1956-12,306 +1957-01,315 +1957-02,301 +1957-03,356 +1957-04,348 +1957-05,355 +1957-06,422 +1957-07,465 +1957-08,467 +1957-09,404 +1957-10,347 +1957-11,305 +1957-12,336 +1958-01,340 +1958-02,318 +1958-03,362 +1958-04,348 +1958-05,363 +1958-06,435 +1958-07,491 +1958-08,505 +1958-09,404 +1958-10,359 +1958-11,310 +1958-12,337 +1959-01,360 +1959-02,342 +1959-03,406 +1959-04,396 +1959-05,420 +1959-06,472 +1959-07,548 +1959-08,559 +1959-09,463 +1959-10,407 +1959-11,362 +1959-12,405 +1960-01,417 +1960-02,391 +1960-03,419 +1960-04,461 +1960-05,472 +1960-06,535 +1960-07,622 +1960-08,606 +1960-09,508 +1960-10,461 +1960-11,390 +1960-12,432 diff --git a/logs/cov.out b/logs/cov.out index cbee523..db31ea0 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -1,11 +1,12 @@ -Name Stmts Miss Cover Missing ------------------------------------------------------------------------------------------ -/media/ph33r/Data/Project/mllib/Git/mllib/__init__.py 7 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/__init__.py 7 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/cluster.py 103 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/knn.py 70 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/model.py 44 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/opt.py 157 0 100% -/media/ph33r/Data/Project/mllib/Git/mllib/lib/tree.py 79 0 100% ------------------------------------------------------------------------------------------ -TOTAL 467 0 100% +Name Stmts Miss Cover Missing +--------------------------------------------------------------------------------------------- +/media/ph33r/Data/Project/CodeLib/Git/mllib/__init__.py 7 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/__init__.py 7 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/cluster.py 103 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/knn.py 70 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/model.py 44 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/opt.py 157 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/timeseries.py 81 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/tree.py 79 0 100% +--------------------------------------------------------------------------------------------- +TOTAL 548 0 100% diff --git a/logs/pip.out b/logs/pip.out index f61bf91..27f1fe1 100644 --- a/logs/pip.out +++ b/logs/pip.out @@ -1 +1 @@ -INFO: Successfully saved requirements file in /media/ph33r/Data/Project/mllib/Git/requirements.txt +INFO: Successfully saved requirements file in /media/ph33r/Data/Project/CodeLib/Git/requirements.txt diff --git a/logs/pylint/lib-timeseries-py.out b/logs/pylint/lib-timeseries-py.out new file mode 100644 index 0000000..771d879 --- /dev/null +++ b/logs/pylint/lib-timeseries-py.out @@ -0,0 +1,9 @@ +************* Module mllib.lib.timeseries +timeseries.py:183:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:184:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:185:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:186:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) + +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) + diff --git a/logs/pylint/tests-test_timeseries-py.out b/logs/pylint/tests-test_timeseries-py.out new file mode 100644 index 0000000..d7495ee --- /dev/null +++ b/logs/pylint/tests-test_timeseries-py.out @@ -0,0 +1,4 @@ + +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) + diff --git a/mllib/lib/timeseries.py b/mllib/lib/timeseries.py new file mode 100644 index 0000000..a731f78 --- /dev/null +++ b/mllib/lib/timeseries.py @@ -0,0 +1,313 @@ +""" +Time series module. + +**Available routines:** + +- class ``TimeSeries``: Builds time series model using fbprophet. + +Credits +------- +:: + + Authors: + - Diptesh + - Madhu + + Date: Oct 03, 2021 +""" + +# pylint: disable=invalid-name +# pylint: disable=R0902,R0903,R0913,C0413,R0205 + +from typing import List, Dict, Any + +import re +import sys +import os + +from inspect import getsourcefile +from os.path import abspath + +import pandas as pd +import numpy as np + +from fbprophet import Prophet + +path = abspath(getsourcefile(lambda: 0)) +path = re.sub(r"(.+\/)(.+.py)", "\\1", path) +sys.path.insert(0, path) + +import metrics # noqa: F841 + + +class suppress_stdout_stderr(object): + """ + Suppress fbprophet stdout. + + A context manager for doing a "deep suppression" of stdout and stderr in + Python, i.e. will suppress all print, even if the print originates in a + compiled C/Fortran sub-function. + This will not suppress raised exceptions, since exceptions are printed + to stderr just before a script exits, and after the context manager has + exited (at least, I think that is why it lets exceptions through). + + """ + + def __init__(self): + """Initialize variables.""" + # Open a pair of null files + self.null_fds = [os.open(os.devnull, os.O_RDWR) for x in range(2)] + # Save the actual stdout (1) and stderr (2) file descriptors. + self.save_fds = (os.dup(1), os.dup(2)) + + def __enter__(self): + """Enter statements.""" + # Assign the null pointers to stdout and stderr. + os.dup2(self.null_fds[0], 1) + os.dup2(self.null_fds[1], 2) + + def __exit__(self, *_): + """Exit statements.""" + # Re-assign the real stdout/stderr back to (1) and (2) + os.dup2(self.save_fds[0], 1) + os.dup2(self.save_fds[1], 2) + # Close the null files + os.close(self.null_fds[0]) + os.close(self.null_fds[1]) + + +class TimeSeries(): + """Time series module. + + Parameters + ---------- + df: pandas.DataFrame + + Pandas dataframe containing the `y_var` and `x_var` + + y_var: str + + Dependant variable + + x_var: List[str], optional + + Independant variables (the default is None). + + ds: str, optional + + Column name of the date variable (the default is None). + + k_fold: int, optional, Not implemented yet + + Number of cross validations folds (the default is None). + + uid: str, optional, Not implemented yet + + Description of parameter `uid` (the default is None). + + param: dict, optional, Not implemented yet + + Time series parameters(the default is None). + + Returns + ------- + model: object + + Final optimal model. + + model_summary: Dict + + Model summary containing key metrics like R-squared, RMSE, MSE, MAE, + MAPE. + + Methods + ------- + predict + + Example + ------- + >> > mod = TimeSeries(df=df_ip, + y_var="y", + x_var=["cost", "stock_level", "retail_price"], + ds="ds") + >> > df_op = mod.predict(x_predict) + + """ + + def __init__(self, + df: pd.DataFrame, + y_var: str, + x_var: List[str] = None, + ds: str = None, + k_fold: int = None, + uid: str = None, + param: Dict = None): + """Initialize variables.""" + self.y_var = y_var + self.x_var = x_var + self.ds = ds + self.df = df.reset_index(drop=True) + if uid is not None: + raise NotImplementedError("uid is not supported yet") + if k_fold is not None: + raise NotImplementedError("k_fold is not supported yet") + if param is None: + param = {"interval_width": 0.95} + self.model = None + self.param = param + self._pre_processing() + self._fit() + self._compute_metrics() + if x_var is not None: + self.betas = self._regressor_coefficients(self.model) + + def _pre_processing(self): + self.df[self.ds] = pd.to_datetime(self.df[self.ds]) + if self.x_var is None: + self.df = self.df[[self.ds] + [self.y_var]] + else: + self.df = self.df[[self.ds] + [self.y_var] + self.x_var] + coln = list(self.df.columns) + self.df.columns = ["ds", "y"] + coln[2:] + self.y_var = "y" + self.ds = "ds" + + def _compute_metrics(self): + """Compute commonly used metrics to evaluate the model.""" + y = self.df.loc[:, self.y_var].values.tolist() + if self.x_var is None: + y_hat = list(self.model.predict(self.df[[self.ds]])["yhat"]) + else: + y_hat = list(self.model.predict(self.df[[self.ds] + + self.x_var])["yhat"]) + model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), + "mae": np.round(metrics.mae(y, y_hat), 3), + "mape": np.round(metrics.mape(y, y_hat), 3), + "rmse": np.round(metrics.rmse(y, y_hat), 3)} + model_summary["mse"] = np.round(model_summary["rmse"] ** 2, 3) + self.model_summary = model_summary + + @staticmethod + def _regressor_index(m, name): + """ + Given the name of a regressor, return its index in the `beta` matrix. + + Parameters + ---------- + m: object + + Prophet model object, after fitting. + + name: str + + Name of the regressor, as passed into the `add_regressor` function. + + Returns + ------- + int + + The column index of the regressor in the `beta` matrix. + + """ + op = np.extract(m.train_component_cols[name] == 1, + m.train_component_cols.index)[0] + return op + + def _regressor_coefficients(self, m): # pragma: no cover + """ + Summarise the coefficients of the extra regressors used in the model. + + For additive regressors, the coefficient represents the incremental + impact on `y` of a unit increase in the regressor. For multiplicative + regressors, the incremental impact is equal to `trend(t)` multiplied + by the coefficient. + + Coefficients are measured on the original scale of the training data. + + Parameters + ---------- + m: object + + Prophet model object, after fitting. + + Returns + ------- + pd.DataFrame + + containing: : + + regressor: Name of the regressor + regressor_mode: Additive/multiplicative effect on y + center: The mean of the regressor if standardized else 0 + coef_lower: Lower bound for the coefficient + coef: Expected value of the coefficient + coef_upper: Upper bound for the coefficient + + coef_lower/upper are estimated from MCMC samples. + It is only different to coef if mcmc_samples > 0. + + """ + assert len(m.extra_regressors) > 0, 'No extra regressors found.' + coefs = [] + for regressor, params in m.extra_regressors.items(): + beta = m.params['beta'][:, self._regressor_index(m, regressor)] + if params['mode'] == 'additive': + coef = beta * m.y_scale / params['std'] + else: + coef = beta / params['std'] + percentiles = [ + (1 - m.interval_width) / 2, + 1 - (1 - m.interval_width) / 2, + ] + coef_bounds = np.quantile(coef, q=percentiles) + record = { + 'regressor': regressor, + 'regressor_mode': params['mode'], + 'center': params['mu'], + 'coef_lower': coef_bounds[0], + 'coef': np.mean(coef), + 'coef_upper': coef_bounds[1], + } + coefs.append(record) + return pd.DataFrame(coefs) + + def _fit(self) -> Dict[str, Any]: + """Fit model.""" + model = Prophet(interval_width=self.param["interval_width"]) + if self.x_var is not None: + for var in self.x_var: + model.add_regressor(var) + with suppress_stdout_stderr(): + model.fit(self.df) + self.model = model + + def predict(self, + x_predict: pd.DataFrame = None, + n_interval: int = 1) -> pd.DataFrame: + """Predict module. + + Parameters + ---------- + x_predict : pd.DataFrame, optional + + Pandas dataframe containing `x_var` (the default is None). + + n_interval : int, optional + + Number of time period to predict (the default is 1). + + Returns + ------- + pd.DataFrame + + Pandas dataframe containing `y_var` and `x_var`. + + """ + if self.x_var is None: + x_predict = self.model.make_future_dataframe(periods=n_interval) + x_predict = x_predict.iloc[-n_interval:, :] + df_op = x_predict.copy(deep=True) + forecast = self.model.predict(x_predict) + y_hat = forecast['yhat'].values.tolist() + df_op.insert(loc=0, column=self.y_var, value=y_hat) + return df_op diff --git a/requirements.txt b/requirements.txt index 601ed65..becc84b 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,6 +1,7 @@ -pandas==1.1.3 -numpy==1.19.5 -PuLP==1.6.8 Cython==0.29.15 xgboost==1.3.3 +numpy==1.18.1 +fbprophet==0.6 +PuLP==1.6.8 +pandas==1.0.1 scikit_learn==1.0 diff --git a/tests/test_timeseries.py b/tests/test_timeseries.py new file mode 100644 index 0000000..9e6c1ae --- /dev/null +++ b/tests/test_timeseries.py @@ -0,0 +1,105 @@ +""" +Test suite module for ``timeseries``. + +Credits +------- +:: + + Authors: + - Diptesh + + Date: Sep 07, 2021 +""" + +# pylint: disable=invalid-name +# pylint: disable=wrong-import-position + +import unittest +import warnings +import re +import sys + +from inspect import getsourcefile +from os.path import abspath + +import pandas as pd + +# Set base path +path = abspath(getsourcefile(lambda: 0)) +path = re.sub(r"(.+)(\/tests.*)", "\\1", path) + +sys.path.insert(0, path) + +from mllib.lib.timeseries import TimeSeries # noqa: F841 + +# ============================================================================= +# --- DO NOT CHANGE ANYTHING FROM HERE +# ============================================================================= + +path = path + "/data/input/" + +# ============================================================================= +# --- User defined functions +# ============================================================================= + + +def ignore_warnings(test_func): + """Suppress warnings.""" + + def do_test(self, *args, **kwargs): + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + test_func(self, *args, **kwargs) + return do_test + + +class TestTimeSeries(unittest.TestCase): + """Test suite for module ``TimeSeries``.""" + + def setUp(self): + """Set up for module ``TimeSeries``.""" + + @ignore_warnings + def test_multivariate(self): + """TimeSeries: Test for multivariate.""" + df_ip = pd.read_excel(path + "test_time_series.xlsx", + sheet_name="product_01") + mod = TimeSeries(df=df_ip, + y_var="y", + x_var=["cost", "stock_level", "retail_price"], + ds="ds") + op = mod.model_summary + self.assertAlmostEqual(0.99, op["rsq"], places=1) + + @ignore_warnings + def test_raise_exceptions(self): + """TimeSeries: Test raise exceptions.""" + df_ip = pd.read_excel(path + "test_time_series.xlsx", + sheet_name="product_01") + self.assertRaises(NotImplementedError, TimeSeries, + df=df_ip, + y_var="y", + x_var=["stock_level", "retail_price"], + ds="ds", + uid="cost") + self.assertRaises(NotImplementedError, TimeSeries, + df=df_ip, + y_var="y", + x_var=["stock_level", "retail_price"], + ds="ds", + k_fold=5) + + def test_univariate(self): + """TimeSeries: Test for univariate.""" + df_ip = pd.read_csv(path + "test_ts_passengers.csv") + mod = TimeSeries(df=df_ip, y_var="Passengers", ds="Month") + op = mod.predict() + self.assertAlmostEqual(op["y"].values[0], 446.911, places=1) + + +# ============================================================================= +# --- Main +# ============================================================================= + +if __name__ == '__main__': + unittest.main() From 73c95b540ef275331d5f77ff780e38f341b375db Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Mon, 4 Oct 2021 22:41:51 +0530 Subject: [PATCH 073/116] v0.4.0 changelog: - added dependency of pystan --- logs/cov.out | 4 ++-- logs/pylint/lib-timeseries-py.out | 8 ++++---- mllib/__main__.py | 15 +++++++++++++++ mllib/lib/timeseries.py | 8 +++++++- requirements.txt | 7 ++++--- tests/test_timeseries.py | 1 + 6 files changed, 33 insertions(+), 10 deletions(-) diff --git a/logs/cov.out b/logs/cov.out index db31ea0..9b59fef 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -6,7 +6,7 @@ Name Stmts Miss Co /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/knn.py 70 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/model.py 44 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/opt.py 157 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/timeseries.py 81 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/timeseries.py 85 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/tree.py 79 0 100% --------------------------------------------------------------------------------------------- -TOTAL 548 0 100% +TOTAL 552 0 100% diff --git a/logs/pylint/lib-timeseries-py.out b/logs/pylint/lib-timeseries-py.out index 771d879..e6474ef 100644 --- a/logs/pylint/lib-timeseries-py.out +++ b/logs/pylint/lib-timeseries-py.out @@ -1,8 +1,8 @@ ************* Module mllib.lib.timeseries -timeseries.py:183:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -timeseries.py:184:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -timeseries.py:185:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -timeseries.py:186:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:188:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:189:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:190:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:191:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/mllib/__main__.py b/mllib/__main__.py index 281ff07..22414a6 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -33,6 +33,7 @@ from lib.tree import XGBoost # noqa: F841 from lib.opt import TSP # noqa: F841 from lib.opt import Transport # noqa: F841 +from lib.timeseries import TimeSeries # noqa: F841 # ============================================================================= # --- DO NOT CHANGE ANYTHING FROM HERE @@ -151,6 +152,20 @@ prob = Transport(c_loc, c_demand, c_supply, c_lat, c_lon, 1) opt_out = prob.solve(0) print("\nTransportation problem\n") + print(elapsed_time("Time", start_t), + sep, + sep="\n") + # --- Time series + start_t = time.time_ns() + df_ip = pd.read_excel(path + "input/test_time_series.xlsx", + sheet_name="product_01") + mod = TimeSeries(df=df_ip, + y_var="y", + x_var=["cost", "stock_level", "retail_price"], + ds="ds") + op = mod.model_summary + print("\nTime series\n") + print("R-squared:", op["rsq"]) print(elapsed_time("Time", start_t), sep, sep="\n") diff --git a/mllib/lib/timeseries.py b/mllib/lib/timeseries.py index a731f78..cddc92f 100644 --- a/mllib/lib/timeseries.py +++ b/mllib/lib/timeseries.py @@ -31,6 +31,7 @@ import pandas as pd import numpy as np +import pystan from fbprophet import Prophet path = abspath(getsourcefile(lambda: 0)) @@ -39,6 +40,10 @@ import metrics # noqa: F841 +__all__ = ["pystan", ] + +os.environ['NUMEXPR_MAX_THREADS'] = '8' + class suppress_stdout_stderr(object): """ @@ -273,7 +278,8 @@ def _regressor_coefficients(self, m): # pragma: no cover def _fit(self) -> Dict[str, Any]: """Fit model.""" - model = Prophet(interval_width=self.param["interval_width"]) + with suppress_stdout_stderr(): + model = Prophet(interval_width=self.param["interval_width"]) if self.x_var is not None: for var in self.x_var: model.add_regressor(var) diff --git a/requirements.txt b/requirements.txt index becc84b..83c098c 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,7 +1,8 @@ +pandas==1.0.1 +fbprophet==0.6 Cython==0.29.15 +PuLP==1.6.8 +pystan==2.17.1.0 xgboost==1.3.3 numpy==1.18.1 -fbprophet==0.6 -PuLP==1.6.8 -pandas==1.0.1 scikit_learn==1.0 diff --git a/tests/test_timeseries.py b/tests/test_timeseries.py index 9e6c1ae..fadc29f 100644 --- a/tests/test_timeseries.py +++ b/tests/test_timeseries.py @@ -89,6 +89,7 @@ def test_raise_exceptions(self): ds="ds", k_fold=5) + @ignore_warnings def test_univariate(self): """TimeSeries: Test for univariate.""" df_ip = pd.read_csv(path + "test_ts_passengers.csv") From 28373739c5b5d27773e7344a7ac598d2b691fd4d Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Mon, 4 Oct 2021 22:56:40 +0530 Subject: [PATCH 074/116] v0.4.0 --- .github/workflows/checks.yml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.github/workflows/checks.yml b/.github/workflows/checks.yml index 85e756a..9666b4f 100644 --- a/.github/workflows/checks.yml +++ b/.github/workflows/checks.yml @@ -45,6 +45,8 @@ jobs: python-version: ${{ matrix.python-version }} - name: Install dependencies run: | + apt install gcc-10 + apt install g++-10 python -m pip install --upgrade pip python -m pip install flake8 pytest if [ -f requirements.txt ]; then pip install -r requirements.txt; fi From 9307b173631ecedb9dd47fe46909051486cef45f Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Mon, 4 Oct 2021 23:00:13 +0530 Subject: [PATCH 075/116] v0.4.0 --- mllib/lib/timeseries.py | 3 ++- requirements.txt | 3 ++- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/mllib/lib/timeseries.py b/mllib/lib/timeseries.py index cddc92f..0245d0f 100644 --- a/mllib/lib/timeseries.py +++ b/mllib/lib/timeseries.py @@ -32,6 +32,7 @@ import numpy as np import pystan +import openpyxl from fbprophet import Prophet path = abspath(getsourcefile(lambda: 0)) @@ -40,7 +41,7 @@ import metrics # noqa: F841 -__all__ = ["pystan", ] +__all__ = ["pystan", "openpyxl", ] os.environ['NUMEXPR_MAX_THREADS'] = '8' diff --git a/requirements.txt b/requirements.txt index 83c098c..aa1837c 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,8 +1,9 @@ pandas==1.0.1 fbprophet==0.6 +xgboost==1.3.3 Cython==0.29.15 PuLP==1.6.8 pystan==2.17.1.0 -xgboost==1.3.3 +openpyxl==3.0.3 numpy==1.18.1 scikit_learn==1.0 From 8cc8c659c6074add2b44d7db4f6a37750ecf21a5 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Mon, 4 Oct 2021 23:01:18 +0530 Subject: [PATCH 076/116] v0.4.0 --- .github/workflows/checks.yml | 2 -- 1 file changed, 2 deletions(-) diff --git a/.github/workflows/checks.yml b/.github/workflows/checks.yml index 9666b4f..85e756a 100644 --- a/.github/workflows/checks.yml +++ b/.github/workflows/checks.yml @@ -45,8 +45,6 @@ jobs: python-version: ${{ matrix.python-version }} - name: Install dependencies run: | - apt install gcc-10 - apt install g++-10 python -m pip install --upgrade pip python -m pip install flake8 pytest if [ -f requirements.txt ]; then pip install -r requirements.txt; fi From 266ad6f31f98360dc6849be0220a90d36e70f137 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Mon, 4 Oct 2021 23:26:00 +0530 Subject: [PATCH 077/116] v0.4.0 --- data/input/test_time_series.csv | 336 ++++++++++++++++++++++++++++++++ mllib/lib/timeseries.py | 3 +- tests/test_timeseries.py | 6 +- 3 files changed, 339 insertions(+), 6 deletions(-) create mode 100644 data/input/test_time_series.csv diff --git a/data/input/test_time_series.csv b/data/input/test_time_series.csv new file mode 100644 index 0000000..03b99df --- /dev/null +++ b/data/input/test_time_series.csv @@ -0,0 +1,336 @@ +ds,y,cost,cp,stock_level,retail_price +01/01/2017,0,0,42.5340409356725,4890,152.650887920178 +01/02/2017,171,7273.321,42.5340409356725,2233,63.02 +01/03/2017,168,7150.338,42.5615357142857,3119,107.835443960089 +01/04/2017,166,7074.227,42.6158253012048,2725,63.02 +01/05/2017,211,8993.719,42.6242606635071,2507,62.694863635 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+32,6 @@ import numpy as np import pystan -import openpyxl from fbprophet import Prophet path = abspath(getsourcefile(lambda: 0)) @@ -41,7 +40,7 @@ import metrics # noqa: F841 -__all__ = ["pystan", "openpyxl", ] +__all__ = ["pystan", ] os.environ['NUMEXPR_MAX_THREADS'] = '8' diff --git a/tests/test_timeseries.py b/tests/test_timeseries.py index fadc29f..58a0bd9 100644 --- a/tests/test_timeseries.py +++ b/tests/test_timeseries.py @@ -62,8 +62,7 @@ def setUp(self): @ignore_warnings def test_multivariate(self): """TimeSeries: Test for multivariate.""" - df_ip = pd.read_excel(path + "test_time_series.xlsx", - sheet_name="product_01") + df_ip = pd.read_csv(path + "test_time_series.csv") mod = TimeSeries(df=df_ip, y_var="y", x_var=["cost", "stock_level", "retail_price"], @@ -74,8 +73,7 @@ def test_multivariate(self): @ignore_warnings def test_raise_exceptions(self): """TimeSeries: Test raise exceptions.""" - df_ip = pd.read_excel(path + "test_time_series.xlsx", - sheet_name="product_01") + df_ip = pd.read_csv(path + "test_time_series.csv") self.assertRaises(NotImplementedError, TimeSeries, df=df_ip, y_var="y", From 59a1bb37dac5e7fb8ed0b763c3f5832b019bebd5 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Wed, 6 Oct 2021 13:37:06 +0530 Subject: [PATCH 078/116] v0.4.0 --- mllib/lib/timeseries.py | 2 +- requirements.txt | 9 ++++----- 2 files changed, 5 insertions(+), 6 deletions(-) diff --git a/mllib/lib/timeseries.py b/mllib/lib/timeseries.py index cddc92f..b0e0e08 100644 --- a/mllib/lib/timeseries.py +++ b/mllib/lib/timeseries.py @@ -143,7 +143,7 @@ def __init__(self, df: pd.DataFrame, y_var: str, x_var: List[str] = None, - ds: str = None, + ds: str = "ds", k_fold: int = None, uid: str = None, param: Dict = None): diff --git a/requirements.txt b/requirements.txt index aa1837c..e7948ab 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,9 +1,8 @@ -pandas==1.0.1 -fbprophet==0.6 -xgboost==1.3.3 Cython==0.29.15 PuLP==1.6.8 -pystan==2.17.1.0 -openpyxl==3.0.3 +fbprophet==0.6 numpy==1.18.1 +pandas==1.0.1 +xgboost==1.3.3 +pystan==2.17.1.0 scikit_learn==1.0 From 17aacd9949a8be9cd533327c8df4fd75816df4ab Mon Sep 17 00:00:00 2001 From: MadhuTangudu Date: Thu, 7 Oct 2021 22:43:59 +0530 Subject: [PATCH 079/116] v0.4.0 changelog: - doc string changed in timeseries.py --- logs/cov.out | 24 ++++++++++++------------ logs/pip.out | 2 +- mllib/lib/timeseries.py | 8 ++++---- 3 files changed, 17 insertions(+), 17 deletions(-) diff --git a/logs/cov.out b/logs/cov.out index 9b59fef..99bc335 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -1,12 +1,12 @@ -Name Stmts Miss Cover Missing ---------------------------------------------------------------------------------------------- -/media/ph33r/Data/Project/CodeLib/Git/mllib/__init__.py 7 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/__init__.py 7 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/cluster.py 103 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/knn.py 70 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/model.py 44 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/opt.py 157 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/timeseries.py 85 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/tree.py 79 0 100% ---------------------------------------------------------------------------------------------- -TOTAL 552 0 100% +Name Stmts Miss Cover Missing +------------------------------------------------------- +mllib/__init__.py 7 0 100% +mllib/lib/__init__.py 7 0 100% +mllib/lib/cluster.py 103 0 100% +mllib/lib/knn.py 70 0 100% +mllib/lib/model.py 44 0 100% +mllib/lib/opt.py 157 0 100% +mllib/lib/timeseries.py 85 0 100% +mllib/lib/tree.py 79 0 100% +------------------------------------------------------- +TOTAL 552 0 100% diff --git a/logs/pip.out b/logs/pip.out index 27f1fe1..03fb79a 100644 --- a/logs/pip.out +++ b/logs/pip.out @@ -1 +1 @@ -INFO: Successfully saved requirements file in /media/ph33r/Data/Project/CodeLib/Git/requirements.txt +./bin/run_tests.sh: line 78: pipreqs: command not found diff --git a/mllib/lib/timeseries.py b/mllib/lib/timeseries.py index b0e0e08..e9a622c 100644 --- a/mllib/lib/timeseries.py +++ b/mllib/lib/timeseries.py @@ -88,7 +88,7 @@ class TimeSeries(): ---------- df: pandas.DataFrame - Pandas dataframe containing the `y_var` and `x_var` + Pandas dataframe containing the `y_var`, `ds` and `x_var` y_var: str @@ -112,7 +112,7 @@ class TimeSeries(): param: dict, optional, Not implemented yet - Time series parameters(the default is None). + Time series parameters (the default is None). Returns ------- @@ -296,7 +296,7 @@ def predict(self, ---------- x_predict : pd.DataFrame, optional - Pandas dataframe containing `x_var` (the default is None). + Pandas dataframe containing `ds` and `x_var` (the default is None). n_interval : int, optional @@ -306,7 +306,7 @@ def predict(self, ------- pd.DataFrame - Pandas dataframe containing `y_var` and `x_var`. + Pandas dataframe containing `y_var`, `ds` and `x_var`. """ if self.x_var is None: From 5c8c61c31ac5109d97fa0ca59492f39b381cc70a Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Thu, 7 Oct 2021 23:10:31 +0530 Subject: [PATCH 080/116] v0.4.0 --- mllib/lib/timeseries.py | 1 + 1 file changed, 1 insertion(+) diff --git a/mllib/lib/timeseries.py b/mllib/lib/timeseries.py index e9a622c..fd1dffe 100644 --- a/mllib/lib/timeseries.py +++ b/mllib/lib/timeseries.py @@ -159,6 +159,7 @@ def __init__(self, if param is None: param = {"interval_width": 0.95} self.model = None + self.model_summary = None self.param = param self._pre_processing() self._fit() From 39aa9665dde55f8f292f9b01b87dd8f1b49fb4b8 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sat, 6 Nov 2021 14:56:40 +0530 Subject: [PATCH 081/116] v0.4.0 changelog: - changed issue templates to forms. --- .github/ISSUE_TEMPLATE/bug_report.md | 32 ------- .github/ISSUE_TEMPLATE/bug_report.yaml | 69 +++++++++++++++ .github/ISSUE_TEMPLATE/eda_request.md | 23 ----- .github/ISSUE_TEMPLATE/eda_request.yaml | 36 ++++++++ .github/ISSUE_TEMPLATE/feature_request.md | 40 --------- .github/ISSUE_TEMPLATE/feature_request.yaml | 74 ++++++++++++++++ .github/ISSUE_TEMPLATE/maintenance_request.md | 22 ----- .../ISSUE_TEMPLATE/maintenance_request.yaml | 41 +++++++++ .github/ISSUE_TEMPLATE/user_story.md | 51 ----------- .github/ISSUE_TEMPLATE/user_story.yaml | 84 +++++++++++++++++++ 10 files changed, 304 insertions(+), 168 deletions(-) delete mode 100644 .github/ISSUE_TEMPLATE/bug_report.md create mode 100644 .github/ISSUE_TEMPLATE/bug_report.yaml delete mode 100644 .github/ISSUE_TEMPLATE/eda_request.md create mode 100644 .github/ISSUE_TEMPLATE/eda_request.yaml delete mode 100644 .github/ISSUE_TEMPLATE/feature_request.md create mode 100644 .github/ISSUE_TEMPLATE/feature_request.yaml delete mode 100644 .github/ISSUE_TEMPLATE/maintenance_request.md create mode 100644 .github/ISSUE_TEMPLATE/maintenance_request.yaml delete mode 100644 .github/ISSUE_TEMPLATE/user_story.md create mode 100644 .github/ISSUE_TEMPLATE/user_story.yaml diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md deleted file mode 100644 index f7865a4..0000000 --- a/.github/ISSUE_TEMPLATE/bug_report.md +++ /dev/null @@ -1,32 +0,0 @@ ---- -name: Bug report -about: Create a report to help us improve - ---- - -**Describe the bug** -A clear and concise description of what the bug is. - -**To Reproduce** -Steps to reproduce the behavior: -1. Go to '...' -2. Click on '....' -3. Scroll down to '....' -4. See error - -**Expected behavior** -A clear and concise description of what you expected to happen. - -**Screenshots** -If applicable, add screenshots to help explain your problem. - -**Affected version(s):** - - Version [e.g. v1.3.8] - -**Additional context** -Add any other context about the problem here. - -**Tasks** - -- [ ] Describe task 1 here -- [ ] Describe task 2 here diff --git a/.github/ISSUE_TEMPLATE/bug_report.yaml b/.github/ISSUE_TEMPLATE/bug_report.yaml new file mode 100644 index 0000000..eecb60a --- /dev/null +++ b/.github/ISSUE_TEMPLATE/bug_report.yaml @@ -0,0 +1,69 @@ +name: Bug Report +description: File a bug report +title: "[Bug]: " +labels: ["bug"] +assignees: + - octocat +body: + - type: input + id: contact + attributes: + label: Contact Details + description: How can we get in touch with you if we need more information? + placeholder: ex. email@example.com + validations: + required: false + + - type: textarea + id: bug-description + attributes: + label: Describe the bug + placeholder: A clear and concise description of what the bug is. + validations: + required: true + + - type: textarea + id: bug-reproduce + attributes: + label: How can we reproduce the bug + placeholder: | + Steps to reproduce the behavior: + 1. Go to '...' + 2. Click on '....' + 3. Scroll down to '....' + 4. See error + validations: + required: true + + - type: textarea + id: expected + attributes: + label: Expected behavior + placeholder: A clear and concise description of what you expected to happen. + validations: + required: true + + - type: dropdown + id: version + attributes: + label: Version + description: What version of our product are you running? + options: + - v0.1.0 (Default) + validations: + required: true + + - type: textarea + id: logs + attributes: + label: Relevant log output/screenshots + description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks. + render: shell + + - type: textarea + id: add-context + attributes: + label: Additional context + placeholder: Add any other context about the bug report here. + validations: + required: false diff --git a/.github/ISSUE_TEMPLATE/eda_request.md b/.github/ISSUE_TEMPLATE/eda_request.md deleted file mode 100644 index c7611c6..0000000 --- a/.github/ISSUE_TEMPLATE/eda_request.md +++ /dev/null @@ -1,23 +0,0 @@ ---- -name: EDA request -about: Describe the exploratory data analysis - ---- - -**Describe the EDA request** -A clear and concise description of the request. - -**Expected outcome** -Describe expected analyses/outcomes. - -**Additional context** -Add any other context about the problem here. - -**Tasks** - -- [ ] Describe task 1 here -- [ ] Describe task 2 here - -**NOTE** - -EDA branch(es) if at all created should *not* be merged into production/perennial branches i.e. (**stable/testing/master**) diff --git a/.github/ISSUE_TEMPLATE/eda_request.yaml b/.github/ISSUE_TEMPLATE/eda_request.yaml new file mode 100644 index 0000000..6606858 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/eda_request.yaml @@ -0,0 +1,36 @@ +name: EDA request +description: Request an EDA request +title: "[EDA]: " +labels: ["eda"] +assignees: + - octocat +body: + - type: textarea + id: description + attributes: + label: Describe the EDA request + placeholder: A clear and concise description of the request. + validations: + required: true + + - type: textarea + id: expected + attributes: + label: Expected outcomes(s) + placeholder: Describe expected analyses/outcomes. + validations: + required: true + + - type: textarea + id: add-context + attributes: + label: Additional context + placeholder: Add any other context or screenshots about the EDA request here. + validations: + required: false + + - type: markdown + attributes: + value: | + + ### NOTE: EDA branch(es) if at all created should not be merged into production/perennial branches i.e. (stable/testing/master) diff --git a/.github/ISSUE_TEMPLATE/feature_request.md b/.github/ISSUE_TEMPLATE/feature_request.md deleted file mode 100644 index f42c295..0000000 --- a/.github/ISSUE_TEMPLATE/feature_request.md +++ /dev/null @@ -1,40 +0,0 @@ ---- -name: Feature request -about: Suggest an idea for this project - ---- - -**Is your feature request related to a problem? Please describe.** -A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] - -**Describe the solution you'd like** -A clear and concise description of what you want to happen. - -**Expected input** -```python - -``` - -**Expected output** -```python - -``` - -**Additional context** -Add any other context or screenshots about the feature request here. - -**Acceptance criteria** - -Please provide acceptance criteria based on any of the following: -- scenario-oriented (Given/When/Then) -- rule-oriented (checklist) - -NOTE: - -1. Acceptance criteria should be measurable and should be based on maximum possible limit. -1. Example: If the acceptance criteria for an application is based on response time, specify the response time such that post which the application will not be adopted/used at all i.e. a deal breaker. Meaning if the acceptance criteria for response time is 1 minute, the end user will NOT use the application at all if the response time is more than 1 minute. - -**Tasks** - -- [ ] Describe task 1 here -- [ ] Describe task 2 here diff --git a/.github/ISSUE_TEMPLATE/feature_request.yaml b/.github/ISSUE_TEMPLATE/feature_request.yaml new file mode 100644 index 0000000..e8664a4 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/feature_request.yaml @@ -0,0 +1,74 @@ +name: Feature request +description: Request a feature addition +title: "[Feature]: " +labels: ["feature"] +assignees: + - octocat +body: + - type: textarea + id: problem-statement + attributes: + label: Is your feature request related to a problem? Please describe. + placeholder: A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] + validations: + required: true + + - type: textarea + id: solution + attributes: + label: Describe the solution you'd like + placeholder: A clear and concise description of what you want to happen. + validations: + required: true + + - type: textarea + id: input + attributes: + label: Expected input(s) + placeholder: | + input_01: int + input_02: List[Union[int, float]] + render: python + validations: + required: true + + - type: textarea + id: output + attributes: + label: Expected output(s) + placeholder: | + output_01: Dict[str, int] + output_02: List[Union[int, float]] + render: python + validations: + required: true + + - type: textarea + id: add-context + attributes: + label: Additional context + placeholder: Add any other context or screenshots about the feature request here. + validations: + required: false + + - type: textarea + id: accept + attributes: + label: Acceptance criteria + placeholder: | + NOTE: Acceptance criteria should be measurable and should be based on maximum possible limit. + + Example: If the acceptance criteria for an application is based on response time, specify the response time such that post which the application will not be adopted/used at all i.e. a deal breaker. Meaning if the acceptance criteria for response time is 1 minute, the end user will NOT use the application at all if the response time is more than 1 minute. + validations: + required: true + + - type: dropdown + id: version + attributes: + label: Version + description: What version of our product are you running? + options: + - v0.1.0 (Default) + validations: + required: true + diff --git a/.github/ISSUE_TEMPLATE/maintenance_request.md b/.github/ISSUE_TEMPLATE/maintenance_request.md deleted file mode 100644 index 5324f2a..0000000 --- a/.github/ISSUE_TEMPLATE/maintenance_request.md +++ /dev/null @@ -1,22 +0,0 @@ ---- -name: Maintenance request -about: Describe the technical debt or runtime updates - ---- - -**Describe the maintenance request** -A clear and concise description of the request. - -**Current impact** -Quantify the impact of not completing the request. - -**Affected version(s):** - - Version [e.g. v1.3.8] - -**Additional context** -Add any other context about the problem here. - -**Tasks** - -- [ ] Describe task 1 here -- [ ] Describe task 2 here diff --git a/.github/ISSUE_TEMPLATE/maintenance_request.yaml b/.github/ISSUE_TEMPLATE/maintenance_request.yaml new file mode 100644 index 0000000..1ede47b --- /dev/null +++ b/.github/ISSUE_TEMPLATE/maintenance_request.yaml @@ -0,0 +1,41 @@ +name: Maintenance request +description: Describe the technical debt or runtime updates +title: "[Maintenance]: " +labels: ["maintenance"] +assignees: + - octocat +body: + - type: textarea + id: describe + attributes: + label: Describe the maintenance request + placeholder: A clear and concise description of the request. + validations: + required: true + + - type: textarea + id: impact + attributes: + label: Current impact + placeholder: Quantify the impact of not completing the request. + validations: + required: true + + - type: dropdown + id: version + attributes: + label: Version + description: What version of our product are you running? + options: + - v0.1.0 (Default) + validations: + required: true + + - type: textarea + id: add-context + attributes: + label: Additional context + placeholder: Add any other context or screenshots about the maintenance request here. + validations: + required: false + diff --git a/.github/ISSUE_TEMPLATE/user_story.md b/.github/ISSUE_TEMPLATE/user_story.md deleted file mode 100644 index b71802e..0000000 --- a/.github/ISSUE_TEMPLATE/user_story.md +++ /dev/null @@ -1,51 +0,0 @@ ---- -name: User story -about: A valuable increment of functionality, testable by the users - ---- - -**User story** - -As a ‹role/End user profile›, I'd like to ‹feature short description/Goal›, in order to ‹value it adds/Business value›. - -**Description** - -End user profile: - -- User persona 1 - X TMs -- User persona 2 - Y TMs - -Goal: - -- Objective 1 -- Objective 2 - -Business value: - -Illustrate the value proposition with business background. - -**Business impact** - -Please provide an approximate dollar impact. The business impact may be any of the following: -- Incremental earnings or savings -- Size of prize -- Dollar loss if the application was not built (cost of business) - -**Acceptance criteria** - -Please provide acceptance criteria based on any of the following: -- scenario-oriented (Given/When/Then) -- rule-oriented (checklist) - -NOTE: - -1. Acceptance criteria should be measurable and should be based on maximum possible limit. -1. Example: If the acceptance criteria for an application is based on response time, specify the response time such that post which the application will not be adopted/used at all i.e. a deal breaker. Meaning if the acceptance criteria for response time is 1 minute, the end user will NOT use the application at all if the response time is more than 1 minute. - -**Business sponsor** - -Please provide the name and email of business unit head of the end user(s). - -**Additional context** - -Add any other context or screenshots about the feature request here. diff --git a/.github/ISSUE_TEMPLATE/user_story.yaml b/.github/ISSUE_TEMPLATE/user_story.yaml new file mode 100644 index 0000000..a384558 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/user_story.yaml @@ -0,0 +1,84 @@ +name: User story +description: A valuable increment of functionality, testable by the users +title: "[User story]: " +labels: ["user story"] +assignees: + - octocat +body: + - type: textarea + id: story + attributes: + label: User story + placeholder: As a ‹role/End user profile›, I'd like to ‹feature short description/Goal›, in order to ‹value it adds/Business value›. + validations: + required: true + + - type: textarea + id: user + attributes: + label: End user profile/persona + placeholder: | + - User persona 01: X team members + - User persona 02: Y team members + validations: + required: true + + - type: textarea + id: goal + attributes: + label: Goals and objectives + placeholder: | + - Objective 01 + - Objective 02 + validations: + required: true + + - type: textarea + id: value + attributes: + label: Business value + placeholder: Illustrate the value proposition with business background. + validations: + required: true + + - type: textarea + id: impact + attributes: + label: Business impact + placeholder: | + Please provide an approximate dollar impact. The business impact may be any of the following: + + - Incremental earnings or savings + - Size of prize + - Dollar loss if the application was not built (cost of business) + validations: + required: true + + - type: textarea + id: accept + attributes: + label: Acceptance criteria + placeholder: | + NOTE: Acceptance criteria should be measurable and should be based on maximum possible limit. + + Example: If the acceptance criteria for an application is based on response time, specify the response time such that post which the application will not be adopted/used at all i.e. a deal breaker. Meaning if the acceptance criteria for response time is 1 minute, the end user will NOT use the application at all if the response time is more than 1 minute. + validations: + required: true + + - type: input + id: sponsor + attributes: + label: Business sponsor + description: Please provide the name and email of business unit head of the end user(s). + placeholder: ex. email@example.com + validations: + required: true + + - type: textarea + id: add-context + attributes: + label: Additional context + placeholder: Add any other context or screenshots about the user story here. + validations: + required: false + From 1598e5b183fa03603b915cba83afc3a6def4c585 Mon Sep 17 00:00:00 2001 From: Diptesh Date: Sat, 18 Dec 2021 11:52:19 +0530 Subject: [PATCH 082/116] v0.4.0 --- .github/ISSUE_TEMPLATE/feature_request.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/ISSUE_TEMPLATE/feature_request.yaml b/.github/ISSUE_TEMPLATE/feature_request.yaml index e8664a4..c688daf 100644 --- a/.github/ISSUE_TEMPLATE/feature_request.yaml +++ b/.github/ISSUE_TEMPLATE/feature_request.yaml @@ -68,7 +68,7 @@ body: label: Version description: What version of our product are you running? options: - - v0.1.0 (Default) + - v0.4.0 (Default) validations: required: true From eed4b37e31e7e744dc601bec758fa819617ccce7 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sat, 18 Dec 2021 12:02:45 +0530 Subject: [PATCH 083/116] v0.4.0 --- .github/ISSUE_TEMPLATE/bug_report.yaml | 16 +- .github/ISSUE_TEMPLATE/feature_request.yaml | 19 +- .../ISSUE_TEMPLATE/maintenance_request.yaml | 5 +- .github/workflows/checks.yml | 1 + mllib/lib/timeseries.py | 196 +----------------- 5 files changed, 28 insertions(+), 209 deletions(-) diff --git a/.github/ISSUE_TEMPLATE/bug_report.yaml b/.github/ISSUE_TEMPLATE/bug_report.yaml index eecb60a..c7b9e16 100644 --- a/.github/ISSUE_TEMPLATE/bug_report.yaml +++ b/.github/ISSUE_TEMPLATE/bug_report.yaml @@ -4,7 +4,7 @@ title: "[Bug]: " labels: ["bug"] assignees: - octocat -body: +body: - type: input id: contact attributes: @@ -13,7 +13,7 @@ body: placeholder: ex. email@example.com validations: required: false - + - type: textarea id: bug-description attributes: @@ -21,7 +21,7 @@ body: placeholder: A clear and concise description of what the bug is. validations: required: true - + - type: textarea id: bug-reproduce attributes: @@ -34,7 +34,7 @@ body: 4. See error validations: required: true - + - type: textarea id: expected attributes: @@ -42,14 +42,14 @@ body: placeholder: A clear and concise description of what you expected to happen. validations: required: true - + - type: dropdown id: version attributes: label: Version description: What version of our product are you running? options: - - v0.1.0 (Default) + - v0.4.0 (Default) validations: required: true @@ -59,11 +59,11 @@ body: label: Relevant log output/screenshots description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks. render: shell - + - type: textarea id: add-context attributes: label: Additional context placeholder: Add any other context about the bug report here. validations: - required: false + required: false diff --git a/.github/ISSUE_TEMPLATE/feature_request.yaml b/.github/ISSUE_TEMPLATE/feature_request.yaml index c688daf..9a5f0ec 100644 --- a/.github/ISSUE_TEMPLATE/feature_request.yaml +++ b/.github/ISSUE_TEMPLATE/feature_request.yaml @@ -12,7 +12,7 @@ body: placeholder: A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] validations: required: true - + - type: textarea id: solution attributes: @@ -20,7 +20,7 @@ body: placeholder: A clear and concise description of what you want to happen. validations: required: true - + - type: textarea id: input attributes: @@ -31,7 +31,7 @@ body: render: python validations: required: true - + - type: textarea id: output attributes: @@ -42,26 +42,26 @@ body: render: python validations: required: true - + - type: textarea id: add-context attributes: label: Additional context placeholder: Add any other context or screenshots about the feature request here. validations: - required: false - + required: false + - type: textarea id: accept attributes: label: Acceptance criteria placeholder: | NOTE: Acceptance criteria should be measurable and should be based on maximum possible limit. - + Example: If the acceptance criteria for an application is based on response time, specify the response time such that post which the application will not be adopted/used at all i.e. a deal breaker. Meaning if the acceptance criteria for response time is 1 minute, the end user will NOT use the application at all if the response time is more than 1 minute. validations: - required: true - + required: true + - type: dropdown id: version attributes: @@ -71,4 +71,3 @@ body: - v0.4.0 (Default) validations: required: true - diff --git a/.github/ISSUE_TEMPLATE/maintenance_request.yaml b/.github/ISSUE_TEMPLATE/maintenance_request.yaml index 1ede47b..b64324f 100644 --- a/.github/ISSUE_TEMPLATE/maintenance_request.yaml +++ b/.github/ISSUE_TEMPLATE/maintenance_request.yaml @@ -27,7 +27,7 @@ body: label: Version description: What version of our product are you running? options: - - v0.1.0 (Default) + - v0.4.0 (Default) validations: required: true @@ -37,5 +37,4 @@ body: label: Additional context placeholder: Add any other context or screenshots about the maintenance request here. validations: - required: false - + required: false diff --git a/.github/workflows/checks.yml b/.github/workflows/checks.yml index 85e756a..d81d358 100644 --- a/.github/workflows/checks.yml +++ b/.github/workflows/checks.yml @@ -21,6 +21,7 @@ on: branches: - 'stable' - 'testing' + - 'feature*' pull_request: branches: - 'stable' diff --git a/mllib/lib/timeseries.py b/mllib/lib/timeseries.py index fd1dffe..792b6c6 100644 --- a/mllib/lib/timeseries.py +++ b/mllib/lib/timeseries.py @@ -13,11 +13,10 @@ - Diptesh - Madhu - Date: Oct 03, 2021 + Date: Dec 18, 2021 """ # pylint: disable=invalid-name -# pylint: disable=R0902,R0903,R0913,C0413,R0205 from typing import List, Dict, Any @@ -31,55 +30,12 @@ import pandas as pd import numpy as np -import pystan -from fbprophet import Prophet - path = abspath(getsourcefile(lambda: 0)) path = re.sub(r"(.+\/)(.+.py)", "\\1", path) sys.path.insert(0, path) import metrics # noqa: F841 -__all__ = ["pystan", ] - -os.environ['NUMEXPR_MAX_THREADS'] = '8' - - -class suppress_stdout_stderr(object): - """ - Suppress fbprophet stdout. - - A context manager for doing a "deep suppression" of stdout and stderr in - Python, i.e. will suppress all print, even if the print originates in a - compiled C/Fortran sub-function. - This will not suppress raised exceptions, since exceptions are printed - to stderr just before a script exits, and after the context manager has - exited (at least, I think that is why it lets exceptions through). - - """ - - def __init__(self): - """Initialize variables.""" - # Open a pair of null files - self.null_fds = [os.open(os.devnull, os.O_RDWR) for x in range(2)] - # Save the actual stdout (1) and stderr (2) file descriptors. - self.save_fds = (os.dup(1), os.dup(2)) - - def __enter__(self): - """Enter statements.""" - # Assign the null pointers to stdout and stderr. - os.dup2(self.null_fds[0], 1) - os.dup2(self.null_fds[1], 2) - - def __exit__(self, *_): - """Exit statements.""" - # Re-assign the real stdout/stderr back to (1) and (2) - os.dup2(self.save_fds[0], 1) - os.dup2(self.save_fds[1], 2) - # Close the null files - os.close(self.null_fds[0]) - os.close(self.null_fds[1]) - class TimeSeries(): """Time series module. @@ -102,14 +58,6 @@ class TimeSeries(): Column name of the date variable (the default is None). - k_fold: int, optional, Not implemented yet - - Number of cross validations folds (the default is None). - - uid: str, optional, Not implemented yet - - Description of parameter `uid` (the default is None). - param: dict, optional, Not implemented yet Time series parameters (the default is None). @@ -131,11 +79,11 @@ class TimeSeries(): Example ------- - >> > mod = TimeSeries(df=df_ip, + >>> mod = TimeSeries(df=df_ip, y_var="y", x_var=["cost", "stock_level", "retail_price"], ds="ds") - >> > df_op = mod.predict(x_predict) + >>> df_op = mod.predict(x_predict) """ @@ -144,18 +92,12 @@ def __init__(self, y_var: str, x_var: List[str] = None, ds: str = "ds", - k_fold: int = None, - uid: str = None, param: Dict = None): """Initialize variables.""" self.y_var = y_var self.x_var = x_var self.ds = ds self.df = df.reset_index(drop=True) - if uid is not None: - raise NotImplementedError("uid is not supported yet") - if k_fold is not None: - raise NotImplementedError("k_fold is not supported yet") if param is None: param = {"interval_width": 0.95} self.model = None @@ -164,129 +106,15 @@ def __init__(self, self._pre_processing() self._fit() self._compute_metrics() - if x_var is not None: - self.betas = self._regressor_coefficients(self.model) def _pre_processing(self): - self.df[self.ds] = pd.to_datetime(self.df[self.ds]) - if self.x_var is None: - self.df = self.df[[self.ds] + [self.y_var]] - else: - self.df = self.df[[self.ds] + [self.y_var] + self.x_var] - coln = list(self.df.columns) - self.df.columns = ["ds", "y"] + coln[2:] - self.y_var = "y" - self.ds = "ds" - - def _compute_metrics(self): - """Compute commonly used metrics to evaluate the model.""" - y = self.df.loc[:, self.y_var].values.tolist() - if self.x_var is None: - y_hat = list(self.model.predict(self.df[[self.ds]])["yhat"]) - else: - y_hat = list(self.model.predict(self.df[[self.ds] - + self.x_var])["yhat"]) - model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), - "mae": np.round(metrics.mae(y, y_hat), 3), - "mape": np.round(metrics.mape(y, y_hat), 3), - "rmse": np.round(metrics.rmse(y, y_hat), 3)} - model_summary["mse"] = np.round(model_summary["rmse"] ** 2, 3) - self.model_summary = model_summary - - @staticmethod - def _regressor_index(m, name): - """ - Given the name of a regressor, return its index in the `beta` matrix. + pass - Parameters - ---------- - m: object - - Prophet model object, after fitting. - - name: str + def _opt_param(self): + pass - Name of the regressor, as passed into the `add_regressor` function. - - Returns - ------- - int - - The column index of the regressor in the `beta` matrix. - - """ - op = np.extract(m.train_component_cols[name] == 1, - m.train_component_cols.index)[0] - return op - - def _regressor_coefficients(self, m): # pragma: no cover - """ - Summarise the coefficients of the extra regressors used in the model. - - For additive regressors, the coefficient represents the incremental - impact on `y` of a unit increase in the regressor. For multiplicative - regressors, the incremental impact is equal to `trend(t)` multiplied - by the coefficient. - - Coefficients are measured on the original scale of the training data. - - Parameters - ---------- - m: object - - Prophet model object, after fitting. - - Returns - ------- - pd.DataFrame - - containing: : - - regressor: Name of the regressor - regressor_mode: Additive/multiplicative effect on y - center: The mean of the regressor if standardized else 0 - coef_lower: Lower bound for the coefficient - coef: Expected value of the coefficient - coef_upper: Upper bound for the coefficient - - coef_lower/upper are estimated from MCMC samples. - It is only different to coef if mcmc_samples > 0. - - """ - assert len(m.extra_regressors) > 0, 'No extra regressors found.' - coefs = [] - for regressor, params in m.extra_regressors.items(): - beta = m.params['beta'][:, self._regressor_index(m, regressor)] - if params['mode'] == 'additive': - coef = beta * m.y_scale / params['std'] - else: - coef = beta / params['std'] - percentiles = [ - (1 - m.interval_width) / 2, - 1 - (1 - m.interval_width) / 2, - ] - coef_bounds = np.quantile(coef, q=percentiles) - record = { - 'regressor': regressor, - 'regressor_mode': params['mode'], - 'center': params['mu'], - 'coef_lower': coef_bounds[0], - 'coef': np.mean(coef), - 'coef_upper': coef_bounds[1], - } - coefs.append(record) - return pd.DataFrame(coefs) - - def _fit(self) -> Dict[str, Any]: - """Fit model.""" - with suppress_stdout_stderr(): - model = Prophet(interval_width=self.param["interval_width"]) - if self.x_var is not None: - for var in self.x_var: - model.add_regressor(var) - with suppress_stdout_stderr(): - model.fit(self.df) - self.model = model + def _fit(self): + pass def predict(self, x_predict: pd.DataFrame = None, @@ -310,11 +138,3 @@ def predict(self, Pandas dataframe containing `y_var`, `ds` and `x_var`. """ - if self.x_var is None: - x_predict = self.model.make_future_dataframe(periods=n_interval) - x_predict = x_predict.iloc[-n_interval:, :] - df_op = x_predict.copy(deep=True) - forecast = self.model.predict(x_predict) - y_hat = forecast['yhat'].values.tolist() - df_op.insert(loc=0, column=self.y_var, value=y_hat) - return df_op From 72855ef239a9fbe81b9886be2950db1a3db78797 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sat, 18 Dec 2021 12:05:13 +0530 Subject: [PATCH 084/116] v0.4.0 --- README.md | 4 ++-- logs/cov.out | 24 ++++++++++++------------ logs/pip.out | 2 +- logs/pylint/lib-timeseries-py.out | 16 ++++++++++------ logs/pylint/mllib-__main__-py.out | 6 ++++-- logs/pylint/tests-test_timeseries-py.out | 7 +++++-- requirements.txt | 8 +++----- 7 files changed, 37 insertions(+), 30 deletions(-) diff --git a/README.md b/README.md index a5495db..b282fb9 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ [![checks](../../actions/workflows/checks.yml/badge.svg)](../../actions/workflows/checks.yml) -[![pylint Score](https://mperlet.github.io/pybadge/badges/10.0.svg)](./logs/pylint/) -[![Coverage score](https://img.shields.io/badge/coverage-100%25-dagreen.svg)](./logs/cov.out) +[![pylint Score](https://mperlet.github.io/pybadge/badges/9.6.svg)](./logs/pylint/) +[![Coverage score](https://img.shields.io/badge/coverage-99%25-red.svg)](./logs/cov.out) [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](./LICENSE) *** diff --git a/logs/cov.out b/logs/cov.out index 99bc335..7cfbbf2 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -1,12 +1,12 @@ -Name Stmts Miss Cover Missing -------------------------------------------------------- -mllib/__init__.py 7 0 100% -mllib/lib/__init__.py 7 0 100% -mllib/lib/cluster.py 103 0 100% -mllib/lib/knn.py 70 0 100% -mllib/lib/model.py 44 0 100% -mllib/lib/opt.py 157 0 100% -mllib/lib/timeseries.py 85 0 100% -mllib/lib/tree.py 79 0 100% -------------------------------------------------------- -TOTAL 552 0 100% +Name Stmts Miss Cover Missing +--------------------------------------------------------------------------------------------- +/media/ph33r/Data/Project/CodeLib/Git/mllib/__init__.py 7 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/__init__.py 7 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/cluster.py 103 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/knn.py 70 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/model.py 44 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/opt.py 157 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/timeseries.py 33 1 97% 114 +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/tree.py 79 0 100% +--------------------------------------------------------------------------------------------- +TOTAL 500 1 99% diff --git a/logs/pip.out b/logs/pip.out index 03fb79a..27f1fe1 100644 --- a/logs/pip.out +++ b/logs/pip.out @@ -1 +1 @@ -./bin/run_tests.sh: line 78: pipreqs: command not found +INFO: Successfully saved requirements file in /media/ph33r/Data/Project/CodeLib/Git/requirements.txt diff --git a/logs/pylint/lib-timeseries-py.out b/logs/pylint/lib-timeseries-py.out index e6474ef..a72f5e9 100644 --- a/logs/pylint/lib-timeseries-py.out +++ b/logs/pylint/lib-timeseries-py.out @@ -1,9 +1,13 @@ ************* Module mllib.lib.timeseries -timeseries.py:188:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -timeseries.py:189:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -timeseries.py:190:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -timeseries.py:191:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:37:0: C0413: Import "import metrics" should be placed at the top of the module (wrong-import-position) +timeseries.py:90:4: R0913: Too many arguments (6/5) (too-many-arguments) +timeseries.py:108:8: E1101: Instance of 'TimeSeries' has no '_compute_metrics' member (no-member) +timeseries.py:40:0: R0903: Too few public methods (1/2) (too-few-public-methods) +timeseries.py:21:0: W0611: Unused Any imported from typing (unused-import) +timeseries.py:25:0: W0611: Unused import os (unused-import) +timeseries.py:31:0: W0611: Unused numpy imported as np (unused-import) +timeseries.py:37:0: W0611: Unused import metrics (unused-import) --------------------------------------------------------------------- -Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) +------------------------------------------------------------------- +Your code has been rated at 6.36/10 (previous run: 10.00/10, -3.64) diff --git a/logs/pylint/mllib-__main__-py.out b/logs/pylint/mllib-__main__-py.out index d7495ee..067d84b 100644 --- a/logs/pylint/mllib-__main__-py.out +++ b/logs/pylint/mllib-__main__-py.out @@ -1,4 +1,6 @@ +************* Module mllib.__main__ +__main__.py:168:24: E1136: Value 'op' is unsubscriptable (unsubscriptable-object) --------------------------------------------------------------------- -Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) +------------------------------------------------------------------- +Your code has been rated at 9.43/10 (previous run: 10.00/10, -0.57) diff --git a/logs/pylint/tests-test_timeseries-py.out b/logs/pylint/tests-test_timeseries-py.out index d7495ee..62c94ba 100644 --- a/logs/pylint/tests-test_timeseries-py.out +++ b/logs/pylint/tests-test_timeseries-py.out @@ -1,4 +1,7 @@ +************* Module tests.test_timeseries +test_timeseries.py:71:37: E1136: Value 'op' is unsubscriptable (unsubscriptable-object) +test_timeseries.py:95:8: E1111: Assigning result of a function call, where the function has no return (assignment-from-no-return) --------------------------------------------------------------------- -Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) +------------------------------------------------------------------- +Your code has been rated at 7.22/10 (previous run: 10.00/10, -2.78) diff --git a/requirements.txt b/requirements.txt index e7948ab..0813724 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,8 +1,6 @@ -Cython==0.29.15 PuLP==1.6.8 -fbprophet==0.6 -numpy==1.18.1 +Cython==0.29.15 pandas==1.0.1 xgboost==1.3.3 -pystan==2.17.1.0 -scikit_learn==1.0 +numpy==1.18.1 +scikit_learn==1.0.1 From ecbf0fb8ab8ae9cd4f146e461e57812d7509a4cd Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sun, 19 Dec 2021 14:19:43 +0530 Subject: [PATCH 085/116] v0.4.0 changelog: - added function to compute AIC in metrics.so - added complete case check for TimeSeries module --- README.md | 4 +- .../metrics.cpython-37m-x86_64-linux-gnu.so | Bin 181888 -> 241840 bytes .../build/temp.linux-x86_64-3.7/metrics.o | Bin 395432 -> 523360 bytes bin/metrics/metrics.c | 982 +++++++++++++++--- bin/metrics/metrics.pyx | 50 +- bin/metrics/metrics.so | Bin 181888 -> 241840 bytes bin/run_tests.sh | 1 + logs/cov.out | 4 +- logs/pylint/lib-timeseries-py.out | 13 +- logs/pylint/mllib-__main__-py.out | 6 +- logs/pylint/tests-test_metrics-py.out | 1 + logs/pylint/tests-test_timeseries-py.out | 7 +- mllib/__main__.py | 7 +- mllib/lib/metrics.so | Bin 181888 -> 241840 bytes mllib/lib/timeseries.py | 34 +- requirements.txt | 7 +- tests/test_metrics.py | 8 + tests/test_timeseries.py | 37 +- 18 files changed, 911 insertions(+), 250 deletions(-) diff --git a/README.md b/README.md index b282fb9..1a76c79 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ [![checks](../../actions/workflows/checks.yml/badge.svg)](../../actions/workflows/checks.yml) -[![pylint Score](https://mperlet.github.io/pybadge/badges/9.6.svg)](./logs/pylint/) -[![Coverage 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z{PD304L<#Uj-MO$NJvBb|N1NSvfy7@XL221f8P`SAOH6CnfCQuFZx`67ueS;zy8j) zuW$LdB={S{2|X0%f9qfRS3yS#2L@je>0jhqd{no_wJvPT8K%(uYJsk`{zokG!Ppo7 z#UgP%YFp&%kdG@uD<2MTb;qgBU8*@g!WQ`p^^Tfz!|NCIp;~y9P!{h%PHs*|cMQ!_mw-2O5KKtJXW4{mouYWs!n*E~gWc$*{@tcPK@c7lk z2_rcbXW^lxU4r$u%{jj6sPBCJRrUiq?d5o-{b#KD`pC~W*1!J=3jbrSeSNe={>|97 zVW=H;?jQR4#K;##eQ5lmGwt~N`a(N?JkB3}eb4aM|6Biatp8b7aHRi{r #ifdef _OPENMP #include #endif /* _OPENMP */ @@ -817,6 +819,20 @@ static const char *__pyx_f[] = { }; /*--- Type declarations ---*/ +struct __pyx_opt_args_7metrics_aic; + +/* "metrics.pyx":189 + * + * + * cpdef double aic(list y, list y_hat, int k=1, str method="linear"): # <<<<<<<<<<<<<< + * """ + * Compute `Akaike information criterion + */ +struct __pyx_opt_args_7metrics_aic { + int __pyx_n; + int k; + PyObject *method; +}; /* --- Runtime support code (head) --- */ /* Refnanny.proto */ @@ -1016,8 +1032,21 @@ static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[],\ __Pyx__ArgTypeTest(obj, type, name, exact)) static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact); -/* Import.proto */ -static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level); +/* IncludeStringH.proto */ +#include + +/* BytesEquals.proto */ +static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals); + +/* UnicodeEquals.proto */ +static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals); + +/* StrEquals.proto */ +#if PY_MAJOR_VERSION >= 3 +#define __Pyx_PyString_Equals __Pyx_PyUnicode_Equals +#else +#define __Pyx_PyString_Equals __Pyx_PyBytes_Equals +#endif /* PyThreadStateGet.proto */ #if CYTHON_FAST_THREAD_STATE @@ -1055,6 +1084,14 @@ static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject #define __Pyx_ErrFetch(type, value, tb) PyErr_Fetch(type, value, tb) #endif +/* WriteUnraisableException.proto */ +static void __Pyx_WriteUnraisable(const char *name, int clineno, + int lineno, const char *filename, + int full_traceback, int nogil); + +/* Import.proto */ +static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level); + /* CLineInTraceback.proto */ #ifdef CYTHON_CLINE_IN_TRACEBACK #define __Pyx_CLineForTraceback(tstate, c_line) (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0) @@ -1087,6 +1124,9 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value); /* CIntToPy.proto */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value); +/* None.proto */ +static CYTHON_INLINE long __Pyx_pow_long(long, long); + /* CIntFromPy.proto */ static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *); @@ -1113,18 +1153,22 @@ static int __Pyx_check_binary_version(void); static int __Pyx_InitStrings(__Pyx_StringTabEntry *t); +/* Module declarations from 'libc.math' */ + /* Module declarations from 'metrics' */ static PyObject *__pyx_f_7metrics_rsq(PyObject *, PyObject *, int __pyx_skip_dispatch); /*proto*/ static PyObject *__pyx_f_7metrics_mse(PyObject *, PyObject *, int __pyx_skip_dispatch); /*proto*/ static PyObject *__pyx_f_7metrics_rmse(PyObject *, PyObject *, int __pyx_skip_dispatch); /*proto*/ static PyObject *__pyx_f_7metrics_mae(PyObject *, PyObject *, int __pyx_skip_dispatch); /*proto*/ static PyObject *__pyx_f_7metrics_mape(PyObject *, PyObject *, int __pyx_skip_dispatch); /*proto*/ +static double __pyx_f_7metrics_aic(PyObject *, PyObject *, int __pyx_skip_dispatch, struct __pyx_opt_args_7metrics_aic *__pyx_optional_args); /*proto*/ #define __Pyx_MODULE_NAME "metrics" extern int __pyx_module_is_main_metrics; int __pyx_module_is_main_metrics = 0; /* Implementation of 'metrics' */ static PyObject *__pyx_builtin_range; +static const char __pyx_k_k[] = "k"; static const char __pyx_k_y[] = "y"; static const char __pyx_k_np[] = "_np"; static const char __pyx_k_main[] = "__main__"; @@ -1135,13 +1179,18 @@ static const char __pyx_k_range[] = "range"; static const char __pyx_k_round[] = "round"; static const char __pyx_k_y_hat[] = "y_hat"; static const char __pyx_k_import[] = "__import__"; +static const char __pyx_k_linear[] = "linear"; +static const char __pyx_k_method[] = "method"; static const char __pyx_k_corrcoef[] = "corrcoef"; static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback"; -static const char __pyx_k_Common_metrics_required_in_mach[] = "\nCommon metrics required in machine learning modules.\n\n**Available functions:**\n - ``rsq``: R-Squared\n - ``mse``: Mean squared error\n - ``rmse``: Root mean squared error\n - ``mae``: Mean absolute error\n - ``mape``: Mean absolute percentage error\n\nCredits\n-------\n::\n\n Authors:\n - Diptesh\n\n Date: Sep 10, 2021\n"; +static const char __pyx_k_Common_metrics_required_in_mach[] = "\nCommon metrics required in machine learning modules.\n\n**Available functions:**\n - ``rsq``: R-Squared\n - ``mse``: Mean squared error\n - ``rmse``: Root mean squared error\n - ``mae``: Mean absolute error\n - ``mape``: Mean absolute percentage error\n - ``aic``: Akaike information criterion\n\nCredits\n-------\n::\n\n Authors:\n - Diptesh\n\n Date: Dec 19, 2021\n"; static PyObject *__pyx_n_s_cline_in_traceback; static PyObject *__pyx_n_s_corrcoef; static PyObject *__pyx_n_s_import; +static PyObject *__pyx_n_s_k; +static PyObject *__pyx_n_s_linear; static PyObject *__pyx_n_s_main; +static PyObject *__pyx_n_s_method; static PyObject *__pyx_n_s_name; static PyObject *__pyx_n_s_np; static PyObject *__pyx_n_s_numpy; @@ -1155,12 +1204,13 @@ static PyObject *__pyx_pf_7metrics_2mse(CYTHON_UNUSED PyObject *__pyx_self, PyOb static PyObject *__pyx_pf_7metrics_4rmse(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat); /* proto */ static PyObject *__pyx_pf_7metrics_6mae(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat); /* proto */ static PyObject *__pyx_pf_7metrics_8mape(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat); /* proto */ +static PyObject *__pyx_pf_7metrics_10aic(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, int __pyx_v_k, PyObject *__pyx_v_method); /* proto */ static PyObject *__pyx_float_0_5; static PyObject *__pyx_int_2; static PyObject *__pyx_int_3; /* Late includes */ -/* "metrics.pyx":28 +/* "metrics.pyx":31 * * * cpdef rsq(list y, list y_hat): # <<<<<<<<<<<<<< @@ -1181,7 +1231,7 @@ static PyObject *__pyx_f_7metrics_rsq(PyObject *__pyx_v_y, PyObject *__pyx_v_y_h PyObject *__pyx_t_7 = NULL; __Pyx_RefNannySetupContext("rsq", 0); - /* "metrics.pyx":51 + /* "metrics.pyx":54 * * """ * return _np.round(_np.corrcoef(y, y_hat)[0][1] ** 2, 3) # <<<<<<<<<<<<<< @@ -1189,14 +1239,14 @@ static PyObject *__pyx_f_7metrics_rsq(PyObject *__pyx_v_y, PyObject *__pyx_v_y_h * */ __Pyx_XDECREF(__pyx_r); - __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_np); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 51, __pyx_L1_error) + __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_np); if 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-1214,7 +1264,7 @@ static PyObject *__pyx_f_7metrics_rsq(PyObject *__pyx_v_y, PyObject *__pyx_v_y_h #if CYTHON_FAST_PYCALL if (PyFunction_Check(__pyx_t_5)) { PyObject *__pyx_temp[3] = {__pyx_t_4, __pyx_v_y, __pyx_v_y_hat}; - __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 51, __pyx_L1_error) + __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 54, __pyx_L1_error) __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_GOTREF(__pyx_t_2); } else @@ -1222,13 +1272,13 @@ static PyObject *__pyx_f_7metrics_rsq(PyObject *__pyx_v_y, PyObject *__pyx_v_y_h #if CYTHON_FAST_PYCCALL if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) { PyObject *__pyx_temp[3] = {__pyx_t_4, __pyx_v_y, __pyx_v_y_hat}; - __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 51, __pyx_L1_error) + __pyx_t_2 = 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__Pyx_PyObject_Call(__pyx_t_3, __pyx_t_7, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 51, __pyx_L1_error) + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_7, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 54, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; } @@ -1304,7 +1354,7 @@ static PyObject *__pyx_f_7metrics_rsq(PyObject *__pyx_v_y, PyObject *__pyx_v_y_h __pyx_t_1 = 0; goto __pyx_L0; - /* "metrics.pyx":28 + /* "metrics.pyx":31 * * * cpdef rsq(list y, list y_hat): # <<<<<<<<<<<<<< @@ -1360,11 +1410,11 @@ static PyObject *__pyx_pw_7metrics_1rsq(PyObject *__pyx_self, PyObject *__pyx_ar case 1: if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_y_hat)) != 0)) kw_args--; else { - __Pyx_RaiseArgtupleInvalid("rsq", 1, 2, 2, 1); __PYX_ERR(0, 28, __pyx_L3_error) + __Pyx_RaiseArgtupleInvalid("rsq", 1, 2, 2, 1); __PYX_ERR(0, 31, __pyx_L3_error) } } if (unlikely(kw_args > 0)) { - if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, 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(equals == Py_NE); + } +#endif + result = memcmp(ps1, ps2, (size_t)length); + return (equals == Py_EQ) ? (result == 0) : (result != 0); + } + } else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) { + return (equals == Py_NE); + } else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) { + return (equals == Py_NE); + } else { + int result; + PyObject* py_result = PyObject_RichCompare(s1, s2, equals); + if (!py_result) + return -1; + result = __Pyx_PyObject_IsTrue(py_result); + Py_DECREF(py_result); + return result; + } +#endif +} + +/* UnicodeEquals */ +static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) { +#if CYTHON_COMPILING_IN_PYPY + return PyObject_RichCompareBool(s1, s2, equals); +#else +#if PY_MAJOR_VERSION < 3 + PyObject* owned_ref = NULL; +#endif + int s1_is_unicode, s2_is_unicode; + if (s1 == s2) { + goto return_eq; + } + s1_is_unicode = PyUnicode_CheckExact(s1); + s2_is_unicode = PyUnicode_CheckExact(s2); +#if PY_MAJOR_VERSION < 3 + if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) { + owned_ref = PyUnicode_FromObject(s2); + if (unlikely(!owned_ref)) + return -1; + s2 = owned_ref; + s2_is_unicode = 1; + } else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) { + owned_ref = PyUnicode_FromObject(s1); + if (unlikely(!owned_ref)) + return -1; + s1 = owned_ref; + s1_is_unicode = 1; + } else if (((!s2_is_unicode) & (!s1_is_unicode))) { + return __Pyx_PyBytes_Equals(s1, s2, equals); + } +#endif + if (s1_is_unicode & s2_is_unicode) { + Py_ssize_t length; + int kind; + void *data1, *data2; + if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0)) + return -1; + length = __Pyx_PyUnicode_GET_LENGTH(s1); + if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) { + goto return_ne; + } +#if CYTHON_USE_UNICODE_INTERNALS + { + Py_hash_t hash1, hash2; + #if CYTHON_PEP393_ENABLED + hash1 = ((PyASCIIObject*)s1)->hash; + hash2 = ((PyASCIIObject*)s2)->hash; + #else + hash1 = ((PyUnicodeObject*)s1)->hash; + hash2 = ((PyUnicodeObject*)s2)->hash; + #endif + if (hash1 != hash2 && hash1 != -1 && hash2 != -1) { + goto return_ne; + } + } +#endif + kind = __Pyx_PyUnicode_KIND(s1); + if (kind != __Pyx_PyUnicode_KIND(s2)) { + goto return_ne; + } + data1 = __Pyx_PyUnicode_DATA(s1); + data2 = __Pyx_PyUnicode_DATA(s2); + if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) { + goto return_ne; + } else if (length == 1) { + goto return_eq; + } else { + int result = memcmp(data1, data2, (size_t)(length * kind)); + #if PY_MAJOR_VERSION < 3 + Py_XDECREF(owned_ref); + #endif + return (equals == Py_EQ) ? (result == 0) : (result != 0); + } + } else if ((s1 == Py_None) & s2_is_unicode) { + goto return_ne; + } else if ((s2 == Py_None) & s1_is_unicode) { + goto return_ne; + } else { + int result; + PyObject* py_result = PyObject_RichCompare(s1, s2, equals); + #if PY_MAJOR_VERSION < 3 + Py_XDECREF(owned_ref); + #endif + if (!py_result) + return -1; + result = __Pyx_PyObject_IsTrue(py_result); + Py_DECREF(py_result); + return result; + } +return_eq: + #if PY_MAJOR_VERSION < 3 + Py_XDECREF(owned_ref); + #endif + return (equals == Py_EQ); +return_ne: + #if PY_MAJOR_VERSION < 3 + Py_XDECREF(owned_ref); + #endif + return (equals == Py_NE); +#endif +} + +/* PyErrFetchRestore */ +#if CYTHON_FAST_THREAD_STATE +static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { + PyObject *tmp_type, *tmp_value, *tmp_tb; + tmp_type = tstate->curexc_type; + tmp_value = tstate->curexc_value; + tmp_tb = tstate->curexc_traceback; + tstate->curexc_type = type; + tstate->curexc_value = value; + tstate->curexc_traceback = tb; + Py_XDECREF(tmp_type); + Py_XDECREF(tmp_value); + Py_XDECREF(tmp_tb); +} +static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { + *type = tstate->curexc_type; + *value = tstate->curexc_value; + *tb = tstate->curexc_traceback; + tstate->curexc_type = 0; + tstate->curexc_value = 0; + tstate->curexc_traceback = 0; +} +#endif + +/* WriteUnraisableException */ +static void __Pyx_WriteUnraisable(const char *name, CYTHON_UNUSED int clineno, + CYTHON_UNUSED int lineno, CYTHON_UNUSED const char *filename, + int full_traceback, CYTHON_UNUSED int nogil) { + PyObject *old_exc, *old_val, *old_tb; + PyObject *ctx; + __Pyx_PyThreadState_declare +#ifdef WITH_THREAD + PyGILState_STATE state; + if (nogil) + state = PyGILState_Ensure(); +#ifdef _MSC_VER + else state = (PyGILState_STATE)-1; +#endif +#endif + __Pyx_PyThreadState_assign + __Pyx_ErrFetch(&old_exc, &old_val, &old_tb); + if (full_traceback) { + Py_XINCREF(old_exc); + Py_XINCREF(old_val); + Py_XINCREF(old_tb); + __Pyx_ErrRestore(old_exc, old_val, old_tb); + PyErr_PrintEx(1); + } + #if PY_MAJOR_VERSION < 3 + ctx = PyString_FromString(name); + #else + ctx = PyUnicode_FromString(name); + #endif + __Pyx_ErrRestore(old_exc, old_val, old_tb); + if (!ctx) { + PyErr_WriteUnraisable(Py_None); + } else { + PyErr_WriteUnraisable(ctx); + Py_DECREF(ctx); + } +#ifdef WITH_THREAD + if (nogil) + PyGILState_Release(state); +#endif +} + /* Import */ static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { PyObject *empty_list = 0; @@ -3251,30 +3906,6 @@ static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { return module; } -/* PyErrFetchRestore */ -#if CYTHON_FAST_THREAD_STATE -static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { - PyObject *tmp_type, *tmp_value, *tmp_tb; - tmp_type = tstate->curexc_type; - tmp_value = tstate->curexc_value; - tmp_tb = tstate->curexc_traceback; - tstate->curexc_type = type; - tstate->curexc_value = value; - tstate->curexc_traceback = tb; - Py_XDECREF(tmp_type); - Py_XDECREF(tmp_value); - Py_XDECREF(tmp_tb); -} -static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { - *type = tstate->curexc_type; - *value = tstate->curexc_value; - *tb = tstate->curexc_traceback; - tstate->curexc_type = 0; - tstate->curexc_value = 0; - tstate->curexc_traceback = 0; -} -#endif - /* CLineInTraceback */ #ifndef CYTHON_CLINE_IN_TRACEBACK static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line) { @@ -3482,6 +4113,28 @@ static void __Pyx_AddTraceback(const char *funcname, int c_line, Py_XDECREF(py_frame); } +/* CIntFromPyVerify */ +#define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\ + __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0) +#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\ + __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1) +#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\ + {\ + func_type value = func_value;\ + if (sizeof(target_type) < sizeof(func_type)) {\ + if (unlikely(value != (func_type) (target_type) value)) {\ + func_type zero = 0;\ + if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\ + return (target_type) -1;\ + if (is_unsigned && unlikely(value < zero))\ + goto raise_neg_overflow;\ + else\ + goto raise_overflow;\ + }\ + }\ + return (target_type) value;\ + } + /* CIntToPy */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0; @@ -3544,27 +4197,32 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) { } } -/* CIntFromPyVerify */ -#define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\ - __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0) -#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\ - __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1) -#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\ - {\ - func_type value = func_value;\ - if (sizeof(target_type) < sizeof(func_type)) {\ - if (unlikely(value != (func_type) (target_type) value)) {\ - func_type zero = 0;\ - if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\ - return (target_type) -1;\ - if (is_unsigned && unlikely(value < zero))\ - goto raise_neg_overflow;\ - else\ - goto raise_overflow;\ - }\ - }\ - return (target_type) value;\ +/* None */ +static CYTHON_INLINE long __Pyx_pow_long(long b, long e) { + long t = b; + switch (e) { + case 3: + t *= b; + CYTHON_FALLTHROUGH; + case 2: + t *= b; + CYTHON_FALLTHROUGH; + case 1: + return t; + case 0: + return 1; } + #if 1 + if (unlikely(e<0)) return 0; + #endif + t = 1; + while (likely(e)) { + t *= (b * (e&1)) | ((~e)&1); + b *= b; + e >>= 1; + } + return t; +} /* CIntFromPy */ static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) { diff --git a/bin/metrics/metrics.pyx b/bin/metrics/metrics.pyx index 268ac13..e88d618 100644 --- a/bin/metrics/metrics.pyx +++ b/bin/metrics/metrics.pyx @@ -7,6 +7,7 @@ Common metrics required in machine learning modules. - ``rmse``: Root mean squared error - ``mae``: Mean absolute error - ``mape``: Mean absolute percentage error + - ``aic``: Akaike information criterion Credits ------- @@ -15,11 +16,13 @@ Credits Authors: - Diptesh - Date: Sep 10, 2021 + Date: Dec 19, 2021 """ import numpy as _np +from libc.math cimport log + # ============================================================================= # --- User defined functions # ============================================================================= @@ -181,3 +184,48 @@ cpdef mape(list y, list y_hat): op += abs(1 - (b * a ** -1.0)) op = op * arr_len ** -1.0 return op + + +cpdef double aic(list y, list y_hat, int k=1, str method="linear"): + """ + Compute `Akaike information criterion + `_. + + Parameters + ---------- + y : list + + Actual values. + + y_hat : list + + Predicted values. + + method : str, optional + + Type of regression (the default is linear). + + Returns + ------- + op : float + + Akaike information criterion. + + """ + cdef double op = 0.0 + cdef double sse = 0.0 + cdef double a = 0.0 + cdef double b = 0.0 + cdef int arr_len = 0 + cdef double small_sample = 0.0 + small_sample = arr_len * k ** -1 + arr_len = len(y) + if method == "linear": + for i in range(0, arr_len, 1): + a = y[i] + b = y_hat[i] + sse += (a - b) ** 2 + op = 2 * k - 2 * log(sse) + if small_sample <= 40: + op += (2 * k * (k + 1)) * (arr_len - k - 1) ** -1 + return op diff --git a/bin/metrics/metrics.so b/bin/metrics/metrics.so index c972ad9966d9c4d83c15c76fd961ab7af924ea05..32295e6a46cd0cce1be6b584ddf2fe7876812a9d 100644 GIT binary patch literal 241840 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z@-*in!FSEdL|G~rG&#|BEB*Yj65z^xaDNZ9DkE-Xy8=5|DKj6a8>8iR*{!UM+gvw3 ziq?3gZRn(@H3)-MxmHDEXj)o^l)jzeRtvwLjbsC}DR7nHsePy-DK+qVS*?#X2$zS4 zo0S8+l63%KD2<@RKdWmk6|5$Idej-Hf-Obt>FS5~W3XIicox_$oAX(Tt89JVx54r` zbEx%)TC=FNxcL50e$pU+-rvFUY$N8rP0asle2=Ajke~N~u)ITr!w1I$t_%NI|8zm( z(}#aJ+6wh~zX(g&$IpJGjqK-oT>K;>KkqAH`3@td{Ol*oaeV(Dnfko{gykx$AIooO z|6WvSJG6I-e#84!ZnplDf876KOtMQ+VzF<9~pV6WI53K%~?<1v_as9J9)Ia?a zrF;(u-kOQ)U(})gCoWgYH(WA5|8-VB*5BX(t^Yi`kBY4*R&_48tyZ7kvwX>2M){Y- zXvzA-UfZeuO&Sq~o<+*y`qCa_N0#z|wwwtB diff --git a/bin/run_tests.sh b/bin/run_tests.sh index ff63c0e..a39cb95 100644 --- a/bin/run_tests.sh +++ b/bin/run_tests.sh @@ -51,6 +51,7 @@ then printf "\nRating code style...\n\n" score=0 cnt=0 + rm $proj_dir/logs/pylint/*.out for i in $(find "$proj_dir" -name "*.py") do file=${i#$(dirname "$(dirname "$i")")/} diff --git a/logs/cov.out b/logs/cov.out index 7cfbbf2..14c4e9e 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -6,7 +6,7 @@ Name Stmts Miss Co /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/knn.py 70 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/model.py 44 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/opt.py 157 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/timeseries.py 33 1 97% 114 +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/timeseries.py 27 8 70% 95-99, 102-104 /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/tree.py 79 0 100% --------------------------------------------------------------------------------------------- -TOTAL 500 1 99% +TOTAL 494 8 98% diff --git a/logs/pylint/lib-timeseries-py.out b/logs/pylint/lib-timeseries-py.out index a72f5e9..d7495ee 100644 --- a/logs/pylint/lib-timeseries-py.out +++ b/logs/pylint/lib-timeseries-py.out @@ -1,13 +1,4 @@ -************* Module mllib.lib.timeseries -timeseries.py:37:0: C0413: Import "import metrics" should be placed at the top of the module (wrong-import-position) -timeseries.py:90:4: R0913: Too many arguments (6/5) (too-many-arguments) -timeseries.py:108:8: E1101: Instance of 'TimeSeries' has no '_compute_metrics' member (no-member) -timeseries.py:40:0: R0903: Too few public methods (1/2) (too-few-public-methods) -timeseries.py:21:0: W0611: Unused Any imported from typing (unused-import) -timeseries.py:25:0: W0611: Unused import os (unused-import) -timeseries.py:31:0: W0611: Unused numpy imported as np (unused-import) -timeseries.py:37:0: W0611: Unused import metrics (unused-import) -------------------------------------------------------------------- -Your code has been rated at 6.36/10 (previous run: 10.00/10, -3.64) +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/logs/pylint/mllib-__main__-py.out b/logs/pylint/mllib-__main__-py.out index 067d84b..d7495ee 100644 --- a/logs/pylint/mllib-__main__-py.out +++ b/logs/pylint/mllib-__main__-py.out @@ -1,6 +1,4 @@ -************* Module mllib.__main__ -__main__.py:168:24: E1136: Value 'op' is unsubscriptable (unsubscriptable-object) -------------------------------------------------------------------- -Your code has been rated at 9.43/10 (previous run: 10.00/10, -0.57) +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/logs/pylint/tests-test_metrics-py.out b/logs/pylint/tests-test_metrics-py.out index d40a4ad..10dc202 100644 --- a/logs/pylint/tests-test_metrics-py.out +++ b/logs/pylint/tests-test_metrics-py.out @@ -4,6 +4,7 @@ test_metrics.py:69:22: I1101: Module 'mllib.lib.metrics' has no 'mse' member, bu test_metrics.py:77:22: I1101: Module 'mllib.lib.metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) test_metrics.py:85:22: I1101: Module 'mllib.lib.metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) test_metrics.py:93:22: I1101: Module 'mllib.lib.metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +test_metrics.py:101:22: I1101: Module 'mllib.lib.metrics' has no 'aic' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/logs/pylint/tests-test_timeseries-py.out b/logs/pylint/tests-test_timeseries-py.out index 62c94ba..d7495ee 100644 --- a/logs/pylint/tests-test_timeseries-py.out +++ b/logs/pylint/tests-test_timeseries-py.out @@ -1,7 +1,4 @@ -************* Module tests.test_timeseries -test_timeseries.py:71:37: E1136: Value 'op' is unsubscriptable (unsubscriptable-object) -test_timeseries.py:95:8: E1111: Assigning result of a function call, where the function has no return (assignment-from-no-return) -------------------------------------------------------------------- -Your code has been rated at 7.22/10 (previous run: 10.00/10, -2.78) +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/mllib/__main__.py b/mllib/__main__.py index 22414a6..0d10381 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -161,11 +161,10 @@ sheet_name="product_01") mod = TimeSeries(df=df_ip, y_var="y", - x_var=["cost", "stock_level", "retail_price"], - ds="ds") - op = mod.model_summary + x_var=["cost", "stock_level", "retail_price"]) + # op = mod.model_summary print("\nTime series\n") - print("R-squared:", op["rsq"]) + # print("R-squared:", op["rsq"]) print(elapsed_time("Time", start_t), sep, sep="\n") diff --git a/mllib/lib/metrics.so b/mllib/lib/metrics.so index c972ad9966d9c4d83c15c76fd961ab7af924ea05..32295e6a46cd0cce1be6b584ddf2fe7876812a9d 100644 GIT binary patch literal 241840 zcmeFa3wRVo_BT9}q)8woJ&;6#f{q&2pj;9)nt*5q66k0Gk&EIghLB81AUBhVf-4wJ zMj6LZbafZk8{TnuRd!WGc8vjrL0uK^cw3{c+9RTftKfCs->YO@t>eM->PE}V|cP=e0pPt}!I?P|9<5UNs&O!rIEDKuiOO!c>qu5dC7=r5< zM~m>kWy-HcHQr0umKB+o0O_9|pBmY{--~efkfrbW+A8Gkx%D?pw z68d@S7FdVFOwINxKl0VGUf+ENL2UYGSt@Z~mb3 zCtkYeWv>DK{5lcTrmXhTt?2lH@F$>=1L4=hNe_ho4VWGXe@+~FUmQGnxa|VUd}&k-sDkpPS;edn_Di 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z@-*in!FSEdL|G~rG&#|BEB*Yj65z^xaDNZ9DkE-Xy8=5|DKj6a8>8iR*{!UM+gvw3 ziq?3gZRn(@H3)-MxmHDEXj)o^l)jzeRtvwLjbsC}DR7nHsePy-DK+qVS*?#X2$zS4 zo0S8+l63%KD2<@RKdWmk6|5$Idej-Hf-Obt>FS5~W3XIicox_$oAX(Tt89JVx54r` zbEx%)TC=FNxcL50e$pU+-rvFUY$N8rP0asle2=Ajke~N~u)ITr!w1I$t_%NI|8zm( z(}#aJ+6wh~zX(g&$IpJGjqK-oT>K;>KkqAH`3@td{Ol*oaeV(Dnfko{gykx$AIooO z|6WvSJG6I-e#84!ZnplDf876KOtMQ+VzF<9~pV6WI53K%~?<1v_as9J9)Ia?a zrF;(u-kOQ)U(})gCoWgYH(WA5|8-VB*5BX(t^Yi`kBY4*R&_48tyZ7kvwX>2M){Y- zXvzA-UfZeuO&Sq~o<+*y`qCa_N0#z|wwwtB diff --git a/mllib/lib/timeseries.py b/mllib/lib/timeseries.py index 792b6c6..56cfa68 100644 --- a/mllib/lib/timeseries.py +++ b/mllib/lib/timeseries.py @@ -17,6 +17,8 @@ """ # pylint: disable=invalid-name +# pylint: disable=wrong-import-position +# pylint: disable=R0903,W0611 from typing import List, Dict, Any @@ -30,6 +32,8 @@ import pandas as pd import numpy as np +from statsmodels.graphics.tsaplots import plot_acf, plot_pacf + path = abspath(getsourcefile(lambda: 0)) path = re.sub(r"(.+\/)(.+.py)", "\\1", path) sys.path.insert(0, path) @@ -54,10 +58,6 @@ class TimeSeries(): Independant variables (the default is None). - ds: str, optional - - Column name of the date variable (the default is None). - param: dict, optional, Not implemented yet Time series parameters (the default is None). @@ -81,8 +81,7 @@ class TimeSeries(): ------- >>> mod = TimeSeries(df=df_ip, y_var="y", - x_var=["cost", "stock_level", "retail_price"], - ds="ds") + x_var=["cost", "stock_level", "retail_price"]) >>> df_op = mod.predict(x_predict) """ @@ -91,30 +90,25 @@ def __init__(self, df: pd.DataFrame, y_var: str, x_var: List[str] = None, - ds: str = "ds", param: Dict = None): """Initialize variables.""" + self.df = df self.y_var = y_var self.x_var = x_var - self.ds = ds - self.df = df.reset_index(drop=True) - if param is None: - param = {"interval_width": 0.95} - self.model = None - self.model_summary = None + self._check_data() self.param = param - self._pre_processing() - self._fit() - self._compute_metrics() - def _pre_processing(self): - pass + def _check_data(self): + df_check = self.df.dropna() + if len(self.df) != len(df_check): + raise ValueError("Found missing values in input data") + # TO DO: Check for y_var, x_var, number of observations. def _opt_param(self): - pass + """Determine optimal parameters.""" def _fit(self): - pass + """Fit the model.""" def predict(self, x_predict: pd.DataFrame = None, diff --git a/requirements.txt b/requirements.txt index 0813724..f51e8af 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,6 +1,7 @@ -PuLP==1.6.8 -Cython==0.29.15 -pandas==1.0.1 xgboost==1.3.3 +statsmodels==0.11.0 +PuLP==1.6.8 numpy==1.18.1 +pandas==1.0.1 +Cython==0.29.15 scikit_learn==1.0.1 diff --git a/tests/test_metrics.py b/tests/test_metrics.py index 948bec4..37d7705 100644 --- a/tests/test_metrics.py +++ b/tests/test_metrics.py @@ -93,6 +93,14 @@ def test_mape(self): op = np.round(metrics.mape(y, y_hat), 3) self.assertEqual(op, exp_op) + def test_aic_linear(self): + """Metrics: Test for AIC in linear regression.""" + y = [34, 37, 44, 47, 48, 48, 46, 43, 32, 27, 26, 24] + y_hat = [37, 40, 46, 44, 46, 50, 45, 44, 34, 30, 22, 23] + exp_op = -6.525 + op = np.round(metrics.aic(y, y_hat, k=1, method="linear"), 3) + self.assertEqual(op, exp_op) + # ============================================================================= # --- Main diff --git a/tests/test_timeseries.py b/tests/test_timeseries.py index 58a0bd9..ac95f4a 100644 --- a/tests/test_timeseries.py +++ b/tests/test_timeseries.py @@ -13,6 +13,7 @@ # pylint: disable=invalid-name # pylint: disable=wrong-import-position +# pylint: disable=W0611 import unittest import warnings @@ -59,42 +60,6 @@ class TestTimeSeries(unittest.TestCase): def setUp(self): """Set up for module ``TimeSeries``.""" - @ignore_warnings - def test_multivariate(self): - """TimeSeries: Test for multivariate.""" - df_ip = pd.read_csv(path + "test_time_series.csv") - mod = TimeSeries(df=df_ip, - y_var="y", - x_var=["cost", "stock_level", "retail_price"], - ds="ds") - op = mod.model_summary - self.assertAlmostEqual(0.99, op["rsq"], places=1) - - @ignore_warnings - def test_raise_exceptions(self): - """TimeSeries: Test raise exceptions.""" - df_ip = pd.read_csv(path + "test_time_series.csv") - self.assertRaises(NotImplementedError, TimeSeries, - df=df_ip, - y_var="y", - x_var=["stock_level", "retail_price"], - ds="ds", - uid="cost") - self.assertRaises(NotImplementedError, TimeSeries, - df=df_ip, - y_var="y", - x_var=["stock_level", "retail_price"], - ds="ds", - k_fold=5) - - @ignore_warnings - def test_univariate(self): - """TimeSeries: Test for univariate.""" - df_ip = pd.read_csv(path + "test_ts_passengers.csv") - mod = TimeSeries(df=df_ip, y_var="Passengers", ds="Month") - op = mod.predict() - self.assertAlmostEqual(op["y"].values[0], 446.911, places=1) - # ============================================================================= # --- Main From ba07a6506f4cb1aecb3f140c489e443e0a80776a Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sun, 19 Dec 2021 14:23:27 +0530 Subject: [PATCH 086/116] v0.4.0 --- mllib/lib/timeseries.py | 10 ++-------- 1 file changed, 2 insertions(+), 8 deletions(-) diff --git a/mllib/lib/timeseries.py b/mllib/lib/timeseries.py index 56cfa68..385a49a 100644 --- a/mllib/lib/timeseries.py +++ b/mllib/lib/timeseries.py @@ -18,28 +18,22 @@ # pylint: disable=invalid-name # pylint: disable=wrong-import-position -# pylint: disable=R0903,W0611 +# pylint: disable=R0903 -from typing import List, Dict, Any +from typing import List, Dict import re import sys -import os from inspect import getsourcefile from os.path import abspath import pandas as pd -import numpy as np - -from statsmodels.graphics.tsaplots import plot_acf, plot_pacf path = abspath(getsourcefile(lambda: 0)) path = re.sub(r"(.+\/)(.+.py)", "\\1", path) sys.path.insert(0, path) -import metrics # noqa: F841 - class TimeSeries(): """Time series module. From 704ee6846e8ea182bfe43a556756318b08941709 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sun, 19 Dec 2021 14:24:57 +0530 Subject: [PATCH 087/116] v0.4.0 --- tests/test_timeseries.py | 4 ---- 1 file changed, 4 deletions(-) diff --git a/tests/test_timeseries.py b/tests/test_timeseries.py index ac95f4a..d2ae7ee 100644 --- a/tests/test_timeseries.py +++ b/tests/test_timeseries.py @@ -23,16 +23,12 @@ from inspect import getsourcefile from os.path import abspath -import pandas as pd - # Set base path path = abspath(getsourcefile(lambda: 0)) path = re.sub(r"(.+)(\/tests.*)", "\\1", path) sys.path.insert(0, path) -from mllib.lib.timeseries import TimeSeries # noqa: F841 - # ============================================================================= # --- DO NOT CHANGE ANYTHING FROM HERE # ============================================================================= From 4ecbd4f2f0b4d05cd49c96ed0259f4d481455411 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Sun, 19 Dec 2021 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y_hat, int k, str method="linear"): # <<<<<<<<<<<<<< * """ * Compute `Akaike information criterion */ struct __pyx_opt_args_7metrics_aic { int __pyx_n; - int k; PyObject *method; }; @@ -1161,7 +1160,7 @@ static PyObject *__pyx_f_7metrics_mse(PyObject *, PyObject *, int __pyx_skip_dis static PyObject *__pyx_f_7metrics_rmse(PyObject *, PyObject *, int __pyx_skip_dispatch); /*proto*/ static PyObject *__pyx_f_7metrics_mae(PyObject *, PyObject *, int __pyx_skip_dispatch); /*proto*/ static PyObject *__pyx_f_7metrics_mape(PyObject *, PyObject *, int __pyx_skip_dispatch); /*proto*/ -static double __pyx_f_7metrics_aic(PyObject *, PyObject *, int __pyx_skip_dispatch, struct __pyx_opt_args_7metrics_aic *__pyx_optional_args); /*proto*/ +static double __pyx_f_7metrics_aic(PyObject *, PyObject *, int, int __pyx_skip_dispatch, struct __pyx_opt_args_7metrics_aic *__pyx_optional_args); /*proto*/ #define __Pyx_MODULE_NAME "metrics" extern int __pyx_module_is_main_metrics; int __pyx_module_is_main_metrics = 0; @@ -2327,14 +2326,13 @@ static PyObject *__pyx_pf_7metrics_8mape(CYTHON_UNUSED PyObject *__pyx_self, PyO /* "metrics.pyx":189 * * - * cpdef double aic(list y, list y_hat, int k=1, str method="linear"): # <<<<<<<<<<<<<< + * cpdef double aic(list y, list y_hat, int k, str method="linear"): # <<<<<<<<<<<<<< * """ * Compute `Akaike information criterion */ static PyObject *__pyx_pw_7metrics_11aic(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ -static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, CYTHON_UNUSED int __pyx_skip_dispatch, struct __pyx_opt_args_7metrics_aic *__pyx_optional_args) { - int __pyx_v_k = ((int)1); +static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, int __pyx_v_k, CYTHON_UNUSED int __pyx_skip_dispatch, struct __pyx_opt_args_7metrics_aic *__pyx_optional_args) { PyObject *__pyx_v_method = ((PyObject*)__pyx_n_s_linear); double __pyx_v_op; double __pyx_v_sse; @@ -2356,14 +2354,11 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, __Pyx_RefNannySetupContext("aic", 0); if (__pyx_optional_args) { if (__pyx_optional_args->__pyx_n > 0) { - __pyx_v_k = __pyx_optional_args->k; - if (__pyx_optional_args->__pyx_n > 1) { - __pyx_v_method = __pyx_optional_args->method; - } + __pyx_v_method = __pyx_optional_args->method; } } - /* "metrics.pyx":215 + /* "metrics.pyx":219 * * """ * cdef double op = 0.0 # <<<<<<<<<<<<<< @@ -2372,7 +2367,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ __pyx_v_op = 0.0; - /* "metrics.pyx":216 + /* "metrics.pyx":220 * """ * cdef double op = 0.0 * cdef double sse = 0.0 # <<<<<<<<<<<<<< @@ -2381,7 +2376,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ __pyx_v_sse = 0.0; - /* "metrics.pyx":217 + /* "metrics.pyx":221 * cdef double op = 0.0 * cdef double sse = 0.0 * cdef double a = 0.0 # <<<<<<<<<<<<<< @@ -2390,7 +2385,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ __pyx_v_a = 0.0; - /* "metrics.pyx":218 + /* "metrics.pyx":222 * cdef double sse = 0.0 * cdef double a = 0.0 * cdef double b = 0.0 # <<<<<<<<<<<<<< @@ -2399,7 +2394,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ __pyx_v_b = 0.0; - /* "metrics.pyx":219 + /* "metrics.pyx":223 * cdef double a = 0.0 * cdef double b = 0.0 * cdef int arr_len = 0 # <<<<<<<<<<<<<< @@ -2408,7 +2403,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ __pyx_v_arr_len = 0; - /* "metrics.pyx":220 + /* "metrics.pyx":224 * cdef double b = 0.0 * cdef int arr_len = 0 * cdef double small_sample = 0.0 # <<<<<<<<<<<<<< @@ -2417,7 +2412,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ __pyx_v_small_sample = 0.0; - /* "metrics.pyx":221 + /* "metrics.pyx":225 * cdef int arr_len = 0 * cdef double small_sample = 0.0 * small_sample = arr_len * k ** -1 # <<<<<<<<<<<<<< @@ -2426,7 +2421,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ __pyx_v_small_sample = (__pyx_v_arr_len * __Pyx_pow_long(((long)__pyx_v_k), -1L)); - /* "metrics.pyx":222 + /* "metrics.pyx":226 * cdef double small_sample = 0.0 * small_sample = arr_len * k ** -1 * arr_len = len(y) # <<<<<<<<<<<<<< @@ -2435,23 +2430,23 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ if (unlikely(__pyx_v_y == Py_None)) { PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); - __PYX_ERR(0, 222, __pyx_L1_error) + __PYX_ERR(0, 226, __pyx_L1_error) } - __pyx_t_1 = PyList_GET_SIZE(__pyx_v_y); if (unlikely(__pyx_t_1 == ((Py_ssize_t)-1))) __PYX_ERR(0, 222, __pyx_L1_error) + __pyx_t_1 = PyList_GET_SIZE(__pyx_v_y); if (unlikely(__pyx_t_1 == ((Py_ssize_t)-1))) __PYX_ERR(0, 226, __pyx_L1_error) __pyx_v_arr_len = __pyx_t_1; - /* "metrics.pyx":223 + /* "metrics.pyx":227 * small_sample = arr_len * k ** -1 * arr_len = len(y) * if method == "linear": # <<<<<<<<<<<<<< * for i in range(0, arr_len, 1): * a = y[i] */ - __pyx_t_2 = (__Pyx_PyString_Equals(__pyx_v_method, __pyx_n_s_linear, Py_EQ)); if (unlikely(__pyx_t_2 < 0)) __PYX_ERR(0, 223, __pyx_L1_error) + __pyx_t_2 = (__Pyx_PyString_Equals(__pyx_v_method, __pyx_n_s_linear, Py_EQ)); if (unlikely(__pyx_t_2 < 0)) __PYX_ERR(0, 227, __pyx_L1_error) __pyx_t_3 = (__pyx_t_2 != 0); if (__pyx_t_3) { - /* "metrics.pyx":224 + /* "metrics.pyx":228 * arr_len = len(y) * if method == "linear": * for i in range(0, arr_len, 1): # <<<<<<<<<<<<<< @@ -2463,7 +2458,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; - /* "metrics.pyx":225 + /* "metrics.pyx":229 * if method == "linear": * for i in range(0, arr_len, 1): * a = y[i] # <<<<<<<<<<<<<< @@ -2472,15 +2467,15 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ if (unlikely(__pyx_v_y == Py_None)) { PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); - __PYX_ERR(0, 225, __pyx_L1_error) + __PYX_ERR(0, 229, __pyx_L1_error) } - __pyx_t_7 = __Pyx_GetItemInt_List(__pyx_v_y, __pyx_v_i, long, 1, __Pyx_PyInt_From_long, 1, 1, 1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 225, __pyx_L1_error) + __pyx_t_7 = __Pyx_GetItemInt_List(__pyx_v_y, __pyx_v_i, long, 1, __Pyx_PyInt_From_long, 1, 1, 1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 229, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_7); - __pyx_t_8 = __pyx_PyFloat_AsDouble(__pyx_t_7); if (unlikely((__pyx_t_8 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 225, __pyx_L1_error) + __pyx_t_8 = __pyx_PyFloat_AsDouble(__pyx_t_7); if (unlikely((__pyx_t_8 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 229, __pyx_L1_error) __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; __pyx_v_a = __pyx_t_8; - /* "metrics.pyx":226 + /* "metrics.pyx":230 * for i in range(0, arr_len, 1): * a = y[i] * b = y_hat[i] # <<<<<<<<<<<<<< @@ -2489,15 +2484,15 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ if (unlikely(__pyx_v_y_hat == Py_None)) { PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); - __PYX_ERR(0, 226, __pyx_L1_error) + __PYX_ERR(0, 230, __pyx_L1_error) } - __pyx_t_7 = __Pyx_GetItemInt_List(__pyx_v_y_hat, __pyx_v_i, long, 1, __Pyx_PyInt_From_long, 1, 1, 1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 226, __pyx_L1_error) + __pyx_t_7 = __Pyx_GetItemInt_List(__pyx_v_y_hat, __pyx_v_i, long, 1, __Pyx_PyInt_From_long, 1, 1, 1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 230, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_7); - __pyx_t_8 = __pyx_PyFloat_AsDouble(__pyx_t_7); if (unlikely((__pyx_t_8 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 226, __pyx_L1_error) + __pyx_t_8 = __pyx_PyFloat_AsDouble(__pyx_t_7); if (unlikely((__pyx_t_8 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 230, __pyx_L1_error) __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; __pyx_v_b = __pyx_t_8; - /* "metrics.pyx":227 + /* "metrics.pyx":231 * a = y[i] * b = y_hat[i] * sse += (a - b) ** 2 # <<<<<<<<<<<<<< @@ -2507,7 +2502,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, __pyx_v_sse = (__pyx_v_sse + pow((__pyx_v_a - __pyx_v_b), 2.0)); } - /* "metrics.pyx":228 + /* "metrics.pyx":232 * b = y_hat[i] * sse += (a - b) ** 2 * op = 2 * k - 2 * log(sse) # <<<<<<<<<<<<<< @@ -2516,7 +2511,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ __pyx_v_op = ((2 * __pyx_v_k) - (2.0 * log(__pyx_v_sse))); - /* "metrics.pyx":229 + /* "metrics.pyx":233 * sse += (a - b) ** 2 * op = 2 * k - 2 * log(sse) * if small_sample <= 40: # <<<<<<<<<<<<<< @@ -2526,7 +2521,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, __pyx_t_3 = ((__pyx_v_small_sample <= 40.0) != 0); if (__pyx_t_3) { - /* "metrics.pyx":230 + /* "metrics.pyx":234 * op = 2 * k - 2 * log(sse) * if small_sample <= 40: * op += (2 * k * (k + 1)) * (arr_len - k - 1) ** -1 # <<<<<<<<<<<<<< @@ -2534,7 +2529,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ __pyx_v_op = (__pyx_v_op + (((2 * __pyx_v_k) * (__pyx_v_k + 1)) * __Pyx_pow_long(((__pyx_v_arr_len - __pyx_v_k) - 1), -1L))); - /* "metrics.pyx":229 + /* "metrics.pyx":233 * sse += (a - b) ** 2 * op = 2 * k - 2 * log(sse) * if small_sample <= 40: # <<<<<<<<<<<<<< @@ -2543,7 +2538,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ } - /* "metrics.pyx":223 + /* "metrics.pyx":227 * small_sample = arr_len * k ** -1 * arr_len = len(y) * if method == "linear": # <<<<<<<<<<<<<< @@ -2552,7 +2547,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ } - /* "metrics.pyx":231 + /* "metrics.pyx":235 * if small_sample <= 40: * op += (2 * k * (k + 1)) * (arr_len - k - 1) ** -1 * return op # <<<<<<<<<<<<<< @@ -2563,7 +2558,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, /* "metrics.pyx":189 * * - * cpdef double aic(list y, list y_hat, int k=1, str method="linear"): # <<<<<<<<<<<<<< + * cpdef double aic(list y, list y_hat, int k, str method="linear"): # <<<<<<<<<<<<<< * """ * Compute `Akaike information criterion */ @@ -2580,7 +2575,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, /* Python wrapper */ static PyObject *__pyx_pw_7metrics_11aic(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ -static char __pyx_doc_7metrics_10aic[] = "\n Compute `Akaike information criterion\n `_.\n\n Parameters\n ----------\n y : list\n\n Actual values.\n\n y_hat : list\n\n Predicted values.\n\n method : str, optional\n\n Type of regression (the default is linear).\n\n Returns\n -------\n op : float\n\n Akaike information criterion.\n\n "; +static char __pyx_doc_7metrics_10aic[] = "\n Compute `Akaike information criterion\n `_.\n\n Parameters\n ----------\n y : list\n\n Actual values.\n\n y_hat : list\n\n Predicted values.\n\n k : int\n\n Number of parameters.\n\n method : str, optional\n\n Type of regression (the default is linear).\n\n Returns\n -------\n op : float\n\n Akaike information criterion.\n\n "; static PyObject *__pyx_pw_7metrics_11aic(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { PyObject *__pyx_v_y = 0; PyObject *__pyx_v_y_hat = 0; @@ -2617,13 +2612,13 @@ static PyObject *__pyx_pw_7metrics_11aic(PyObject *__pyx_self, PyObject *__pyx_a case 1: if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_y_hat)) != 0)) kw_args--; else { - __Pyx_RaiseArgtupleInvalid("aic", 0, 2, 4, 1); __PYX_ERR(0, 189, __pyx_L3_error) + __Pyx_RaiseArgtupleInvalid("aic", 0, 3, 4, 1); __PYX_ERR(0, 189, __pyx_L3_error) } CYTHON_FALLTHROUGH; case 2: - if (kw_args > 0) { - PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_k); - if (value) { values[2] = value; kw_args--; } + if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_k)) != 0)) kw_args--; + else { + __Pyx_RaiseArgtupleInvalid("aic", 0, 3, 4, 2); __PYX_ERR(0, 189, __pyx_L3_error) } CYTHON_FALLTHROUGH; case 3: @@ -2640,8 +2635,7 @@ static PyObject *__pyx_pw_7metrics_11aic(PyObject *__pyx_self, PyObject *__pyx_a case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); CYTHON_FALLTHROUGH; case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); - CYTHON_FALLTHROUGH; - case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); + values[1] = PyTuple_GET_ITEM(__pyx_args, 1); values[0] = PyTuple_GET_ITEM(__pyx_args, 0); break; default: goto __pyx_L5_argtuple_error; @@ -2649,16 +2643,12 @@ static PyObject *__pyx_pw_7metrics_11aic(PyObject *__pyx_self, PyObject *__pyx_a } __pyx_v_y = ((PyObject*)values[0]); __pyx_v_y_hat = ((PyObject*)values[1]); - if (values[2]) { - __pyx_v_k = __Pyx_PyInt_As_int(values[2]); if (unlikely((__pyx_v_k == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 189, __pyx_L3_error) - } else { - __pyx_v_k = ((int)1); - } + __pyx_v_k = __Pyx_PyInt_As_int(values[2]); if (unlikely((__pyx_v_k == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 189, __pyx_L3_error) __pyx_v_method = ((PyObject*)values[3]); } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("aic", 0, 2, 4, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 189, __pyx_L3_error) + __Pyx_RaiseArgtupleInvalid("aic", 0, 3, 4, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 189, __pyx_L3_error) __pyx_L3_error:; __Pyx_AddTraceback("metrics.aic", __pyx_clineno, __pyx_lineno, __pyx_filename); __Pyx_RefNannyFinishContext(); @@ -2686,10 +2676,9 @@ static PyObject *__pyx_pf_7metrics_10aic(CYTHON_UNUSED PyObject *__pyx_self, PyO PyObject *__pyx_t_3 = NULL; __Pyx_RefNannySetupContext("aic", 0); __Pyx_XDECREF(__pyx_r); - __pyx_t_2.__pyx_n = 2; - __pyx_t_2.k = __pyx_v_k; + __pyx_t_2.__pyx_n = 1; __pyx_t_2.method = __pyx_v_method; - __pyx_t_1 = __pyx_f_7metrics_aic(__pyx_v_y, __pyx_v_y_hat, 0, &__pyx_t_2); + __pyx_t_1 = __pyx_f_7metrics_aic(__pyx_v_y, __pyx_v_y_hat, __pyx_v_k, 0, &__pyx_t_2); __pyx_t_3 = PyFloat_FromDouble(__pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 189, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_r = __pyx_t_3; diff --git a/bin/metrics/metrics.pyx b/bin/metrics/metrics.pyx index e88d618..ff63300 100644 --- a/bin/metrics/metrics.pyx +++ b/bin/metrics/metrics.pyx @@ -186,7 +186,7 @@ cpdef mape(list y, list y_hat): return op -cpdef double aic(list y, list y_hat, int k=1, str method="linear"): +cpdef double aic(list y, list y_hat, int k, str method="linear"): """ Compute `Akaike information criterion `_. @@ -201,6 +201,10 @@ cpdef double aic(list y, list y_hat, int k=1, str method="linear"): Predicted values. + k : int + + Number of parameters. + method : str, optional Type of regression (the default is linear). diff --git a/bin/metrics/metrics.so b/bin/metrics/metrics.so index 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SARIMAX added to timeseries.py --- mllib/__main__.py | 1 + mllib/lib/timeseries.py | 85 ++++++++++++++++++++++++++++++++++++++++- 2 files changed, 84 insertions(+), 2 deletions(-) diff --git a/mllib/__main__.py b/mllib/__main__.py index 0d10381..64cb131 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -162,6 +162,7 @@ mod = TimeSeries(df=df_ip, y_var="y", x_var=["cost", "stock_level", "retail_price"]) + df_op = mod.predict(df_ip[["cost", "stock_level", "retail_price"]]) # op = mod.model_summary print("\nTime series\n") # print("R-squared:", op["rsq"]) diff --git a/mllib/lib/timeseries.py b/mllib/lib/timeseries.py index 385a49a..1b2f69d 100644 --- a/mllib/lib/timeseries.py +++ b/mllib/lib/timeseries.py @@ -25,6 +25,9 @@ import re import sys +import itertools +import statsmodels.api as sm + from inspect import getsourcefile from os.path import abspath @@ -84,13 +87,26 @@ def __init__(self, df: pd.DataFrame, y_var: str, x_var: List[str] = None, - param: Dict = None): + param: Dict = None, + epoch = 'days'): """Initialize variables.""" self.df = df self.y_var = y_var self.x_var = x_var self._check_data() + if param is None: + param = {'p': [0, 1], 'd': [0, 1], 'q': [0]} + if epoch == 'days': + param['S'] = [7, 30, 365] + elif epoch == 'month': + param['S'] = [12] + else: + param['S'] = [0] self.param = param + self.best_param = None + self._check_data() + self._opt_param() + self._fit() def _check_data(self): df_check = self.df.dropna() @@ -100,9 +116,67 @@ def _check_data(self): def _opt_param(self): """Determine optimal parameters.""" - + # Generate all different combinations of p, q and q triplets + pdq = list(itertools.product(self.param['p'], + self.param['d'], + self.param['q'])) + # Generate all different combinations of seasonal p, q and q triplets + pdqs = [(x[0], x[1], x[2], 12) \ + for x in list(itertools.product(self.param['p'], + self.param['d'], + self.param['q']))] + # Run a grid with pdq and seasonal pdq parameters calculated above and + # get the best AIC value + ans = [] + for comb in pdq: + for combs in pdqs: + try: + if self.x_var is None: + mod = sm.tsa.statespace.SARIMAX(endog = self.df[self.y_var], + order=comb, + seasonal_order=combs, + enforce_stationarity=False, + enforce_invertibility=False, + ) + else: + mod = sm.tsa.statespace.SARIMAX(endog = self.df[self.y_var], + exog = self.df[self.x_var], + order=comb, + seasonal_order=combs, + enforce_stationarity=False, + enforce_invertibility=False + ) + output = mod.fit(disp=0) + ans.append([comb, combs, output.aic]) + print('ARIMA {} x {}12 : \ + AIC Calculated ={}'.format(comb, combs, output.aic)) + except: + continue + # Find the parameters with minimal AIC value + ans_df = pd.DataFrame(ans, columns=['pdq', 'pdqs', 'aic']) + ans_df = ans_df.loc[ans_df['aic'].idxmin()] + self.best_param = {'pdq': ans_df[0], 'pdqs': ans_df[1]} + return + def _fit(self): """Fit the model.""" + if self.x_var is None: + mod = sm.tsa.statespace.SARIMAX(endog = self.df[self.y_var], + order=self.best_param['pdq'], + seasonal_order=self.best_param['pdqs'], + enforce_stationarity=False, + enforce_invertibility=False + ) + else: + mod = sm.tsa.statespace.SARIMAX(endog = self.df[self.y_var], + exog = self.df[self.x_var], + order=self.best_param['pdq'], + seasonal_order=self.best_param['pdqs'], + enforce_stationarity=False, + enforce_invertibility=False + ) + self.model = mod.fit(disp=0) + return def predict(self, x_predict: pd.DataFrame = None, @@ -126,3 +200,10 @@ def predict(self, Pandas dataframe containing `y_var`, `ds` and `x_var`. """ + if self.x_var is None: + df_pred = pd.DataFrame(\ + self.model.predict(start = len(self.df) + 1, + end=len(self.df) + n_interval)) + else: + df_pred = pd.DataFrame(self.model.predict(exog = x_predict)) + return df_pred From 182bdb17564b753eb03f95a36897badce4ef7302 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Mon, 27 Dec 2021 14:55:18 +0530 Subject: [PATCH 090/116] v0.4.0 changelog: - added module TimeSeries - aded integration tests for multivariate and univariate --- README.md | 2 +- .../metrics.cpython-37m-x86_64-linux-gnu.so | Bin 239832 -> 239928 bytes .../build/temp.linux-x86_64-3.7/metrics.o | Bin 517336 -> 517608 bytes bin/metrics/metrics.c | 122 ++++---- bin/metrics/metrics.pyx | 3 +- bin/metrics/metrics.so | Bin 239832 -> 239928 bytes data/input/test_time_series.xlsx | Bin 291060 -> 304594 bytes logs/cov.out | 4 +- logs/pylint/lib-timeseries-py.out | 5 + mllib/__main__.py | 12 +- mllib/lib/metrics.so | Bin 239832 -> 239928 bytes mllib/lib/timeseries.py | 260 +++++++++++------- requirements.txt | 9 +- tests/test_timeseries.py | 36 +++ 14 files changed, 290 insertions(+), 163 deletions(-) diff --git a/README.md b/README.md index 1a76c79..a5495db 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ [![checks](../../actions/workflows/checks.yml/badge.svg)](../../actions/workflows/checks.yml) [![pylint Score](https://mperlet.github.io/pybadge/badges/10.0.svg)](./logs/pylint/) -[![Coverage score](https://img.shields.io/badge/coverage-98%25-red.svg)](./logs/cov.out) +[![Coverage score](https://img.shields.io/badge/coverage-100%25-dagreen.svg)](./logs/cov.out) [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](./LICENSE) *** diff --git a/bin/metrics/build/lib.linux-x86_64-3.7/metrics.cpython-37m-x86_64-linux-gnu.so b/bin/metrics/build/lib.linux-x86_64-3.7/metrics.cpython-37m-x86_64-linux-gnu.so index 2181b1f44c14812c6cbdd35813045caf99f4f160..da0163eff4fc8d0c8b2830fe9e42eebca97cf090 100644 GIT binary patch delta 85121 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str method="linear"): # <<<<<<<<<<<<<< @@ -2109,6 +2109,7 @@ static PyObject *__pyx_f_7metrics_mape(PyObject *__pyx_v_y, PyObject *__pyx_v_y_ int __pyx_t_4; PyObject *__pyx_t_5 = NULL; double __pyx_t_6; + int __pyx_t_7; __Pyx_RefNannySetupContext("mape", 0); /* "metrics.pyx":179 @@ -2151,7 +2152,7 @@ static PyObject *__pyx_f_7metrics_mape(PyObject *__pyx_v_y, PyObject *__pyx_v_y_ * for i in range(0, arr_len, 1): * a = y[i] # <<<<<<<<<<<<<< * b = y_hat[i] - * op += abs(1 - (b * a ** -1.0)) + * if a != 0.0: */ if (unlikely(__pyx_v_y == Py_None)) { PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); @@ -2167,8 +2168,8 @@ static PyObject *__pyx_f_7metrics_mape(PyObject *__pyx_v_y, PyObject *__pyx_v_y_ * for i in range(0, arr_len, 1): * a = y[i] * b = y_hat[i] # <<<<<<<<<<<<<< - * op += abs(1 - (b * a ** -1.0)) - * op = op * arr_len ** -1.0 + * if a != 0.0: + * op += abs(1 - (b * a ** -1.0)) */ if (unlikely(__pyx_v_y_hat == Py_None)) { PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); @@ -2183,31 +2184,50 @@ static PyObject *__pyx_f_7metrics_mape(PyObject *__pyx_v_y, PyObject *__pyx_v_y_ /* "metrics.pyx":184 * a = y[i] * b = y_hat[i] - * op += abs(1 - (b * a ** -1.0)) # <<<<<<<<<<<<<< + * if a != 0.0: # <<<<<<<<<<<<<< + * op += abs(1 - (b * a ** -1.0)) + * op = op * arr_len ** -1.0 + */ + __pyx_t_7 = ((__pyx_v_a != 0.0) != 0); + if (__pyx_t_7) { + + /* "metrics.pyx":185 + * b = y_hat[i] + * if a != 0.0: + * op += abs(1 - (b * a ** -1.0)) # <<<<<<<<<<<<<< * op = op * arr_len ** -1.0 * return op */ - __pyx_v_op = (__pyx_v_op + fabs((1.0 - (__pyx_v_b * pow(__pyx_v_a, -1.0))))); - } + __pyx_v_op = (__pyx_v_op + fabs((1.0 - (__pyx_v_b * pow(__pyx_v_a, -1.0))))); - /* "metrics.pyx":185 + /* "metrics.pyx":184 + * a = y[i] * b = y_hat[i] - * op += abs(1 - (b * a ** -1.0)) + * if a != 0.0: # <<<<<<<<<<<<<< + * op += abs(1 - (b * a ** -1.0)) + * op = op * arr_len ** -1.0 + */ + } + } + + /* "metrics.pyx":186 + * if a != 0.0: + * op += abs(1 - (b * a ** -1.0)) * op = op * arr_len ** -1.0 # <<<<<<<<<<<<<< * return op * */ __pyx_v_op = (__pyx_v_op * pow(((double)__pyx_v_arr_len), -1.0)); - /* "metrics.pyx":186 - * op += abs(1 - (b * a ** -1.0)) + /* "metrics.pyx":187 + * op += abs(1 - (b * a ** -1.0)) * op = op * arr_len ** -1.0 * return op # <<<<<<<<<<<<<< * * */ __Pyx_XDECREF(__pyx_r); - __pyx_t_5 = PyFloat_FromDouble(__pyx_v_op); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 186, __pyx_L1_error) + __pyx_t_5 = PyFloat_FromDouble(__pyx_v_op); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 187, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_5); __pyx_r = __pyx_t_5; __pyx_t_5 = 0; @@ -2323,7 +2343,7 @@ static PyObject *__pyx_pf_7metrics_8mape(CYTHON_UNUSED PyObject *__pyx_self, PyO return __pyx_r; } -/* "metrics.pyx":189 +/* "metrics.pyx":190 * * * cpdef double aic(list y, list y_hat, int k, str method="linear"): # <<<<<<<<<<<<<< @@ -2358,7 +2378,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, } } - /* "metrics.pyx":219 + /* "metrics.pyx":220 * * """ * cdef double op = 0.0 # <<<<<<<<<<<<<< @@ -2367,7 +2387,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ __pyx_v_op = 0.0; - /* "metrics.pyx":220 + /* "metrics.pyx":221 * """ * cdef double op = 0.0 * cdef double sse = 0.0 # <<<<<<<<<<<<<< @@ -2376,7 +2396,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ __pyx_v_sse = 0.0; - /* "metrics.pyx":221 + /* "metrics.pyx":222 * cdef double op = 0.0 * cdef double sse = 0.0 * cdef double a = 0.0 # <<<<<<<<<<<<<< @@ -2385,7 +2405,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ __pyx_v_a = 0.0; - /* "metrics.pyx":222 + /* "metrics.pyx":223 * cdef double sse = 0.0 * cdef double a = 0.0 * cdef double b = 0.0 # <<<<<<<<<<<<<< @@ -2394,7 +2414,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ __pyx_v_b = 0.0; - /* "metrics.pyx":223 + /* "metrics.pyx":224 * cdef double a = 0.0 * cdef double b = 0.0 * cdef int arr_len = 0 # <<<<<<<<<<<<<< @@ -2403,7 +2423,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ __pyx_v_arr_len = 0; - /* "metrics.pyx":224 + /* "metrics.pyx":225 * cdef double b = 0.0 * cdef int arr_len = 0 * cdef double small_sample = 0.0 # <<<<<<<<<<<<<< @@ -2412,7 +2432,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ __pyx_v_small_sample = 0.0; - /* "metrics.pyx":225 + /* "metrics.pyx":226 * cdef int arr_len = 0 * cdef double small_sample = 0.0 * small_sample = arr_len * k ** -1 # <<<<<<<<<<<<<< @@ -2421,7 +2441,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ __pyx_v_small_sample = (__pyx_v_arr_len * __Pyx_pow_long(((long)__pyx_v_k), -1L)); - /* "metrics.pyx":226 + /* "metrics.pyx":227 * cdef double small_sample = 0.0 * small_sample = arr_len * k ** -1 * arr_len = len(y) # <<<<<<<<<<<<<< @@ -2430,23 +2450,23 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ if (unlikely(__pyx_v_y == Py_None)) { PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); - __PYX_ERR(0, 226, __pyx_L1_error) + __PYX_ERR(0, 227, __pyx_L1_error) } - __pyx_t_1 = PyList_GET_SIZE(__pyx_v_y); if (unlikely(__pyx_t_1 == ((Py_ssize_t)-1))) __PYX_ERR(0, 226, __pyx_L1_error) + __pyx_t_1 = PyList_GET_SIZE(__pyx_v_y); if (unlikely(__pyx_t_1 == ((Py_ssize_t)-1))) __PYX_ERR(0, 227, __pyx_L1_error) __pyx_v_arr_len = __pyx_t_1; - /* "metrics.pyx":227 + /* "metrics.pyx":228 * small_sample = arr_len * k ** -1 * arr_len = len(y) * if method == "linear": # <<<<<<<<<<<<<< * for i in range(0, arr_len, 1): * a = y[i] */ - __pyx_t_2 = (__Pyx_PyString_Equals(__pyx_v_method, __pyx_n_s_linear, Py_EQ)); if (unlikely(__pyx_t_2 < 0)) __PYX_ERR(0, 227, __pyx_L1_error) + __pyx_t_2 = (__Pyx_PyString_Equals(__pyx_v_method, __pyx_n_s_linear, Py_EQ)); if (unlikely(__pyx_t_2 < 0)) __PYX_ERR(0, 228, __pyx_L1_error) __pyx_t_3 = (__pyx_t_2 != 0); if (__pyx_t_3) { - /* "metrics.pyx":228 + /* "metrics.pyx":229 * arr_len = len(y) * if method == "linear": * for i in range(0, arr_len, 1): # <<<<<<<<<<<<<< @@ -2458,7 +2478,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; - /* "metrics.pyx":229 + /* "metrics.pyx":230 * if method == "linear": * for i in range(0, arr_len, 1): * a = y[i] # <<<<<<<<<<<<<< @@ -2467,15 +2487,15 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ if (unlikely(__pyx_v_y == Py_None)) { PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); - __PYX_ERR(0, 229, __pyx_L1_error) + __PYX_ERR(0, 230, __pyx_L1_error) } - __pyx_t_7 = __Pyx_GetItemInt_List(__pyx_v_y, __pyx_v_i, long, 1, __Pyx_PyInt_From_long, 1, 1, 1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 229, __pyx_L1_error) + __pyx_t_7 = __Pyx_GetItemInt_List(__pyx_v_y, __pyx_v_i, long, 1, __Pyx_PyInt_From_long, 1, 1, 1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 230, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_7); - __pyx_t_8 = __pyx_PyFloat_AsDouble(__pyx_t_7); if (unlikely((__pyx_t_8 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 229, __pyx_L1_error) + __pyx_t_8 = __pyx_PyFloat_AsDouble(__pyx_t_7); if (unlikely((__pyx_t_8 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 230, __pyx_L1_error) __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; __pyx_v_a = __pyx_t_8; - /* "metrics.pyx":230 + /* "metrics.pyx":231 * for i in range(0, arr_len, 1): * a = y[i] * b = y_hat[i] # <<<<<<<<<<<<<< @@ -2484,15 +2504,15 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ if (unlikely(__pyx_v_y_hat == Py_None)) { PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable"); - __PYX_ERR(0, 230, __pyx_L1_error) + __PYX_ERR(0, 231, __pyx_L1_error) } - __pyx_t_7 = __Pyx_GetItemInt_List(__pyx_v_y_hat, __pyx_v_i, long, 1, __Pyx_PyInt_From_long, 1, 1, 1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 230, __pyx_L1_error) + __pyx_t_7 = __Pyx_GetItemInt_List(__pyx_v_y_hat, __pyx_v_i, long, 1, __Pyx_PyInt_From_long, 1, 1, 1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 231, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_7); - __pyx_t_8 = __pyx_PyFloat_AsDouble(__pyx_t_7); if (unlikely((__pyx_t_8 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 230, __pyx_L1_error) + __pyx_t_8 = __pyx_PyFloat_AsDouble(__pyx_t_7); if (unlikely((__pyx_t_8 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 231, __pyx_L1_error) __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; __pyx_v_b = __pyx_t_8; - /* "metrics.pyx":231 + /* "metrics.pyx":232 * a = y[i] * b = y_hat[i] * sse += (a - b) ** 2 # <<<<<<<<<<<<<< @@ -2502,7 +2522,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, __pyx_v_sse = (__pyx_v_sse + pow((__pyx_v_a - __pyx_v_b), 2.0)); } - /* "metrics.pyx":232 + /* "metrics.pyx":233 * b = y_hat[i] * sse += (a - b) ** 2 * op = 2 * k - 2 * log(sse) # <<<<<<<<<<<<<< @@ -2511,7 +2531,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ __pyx_v_op = ((2 * __pyx_v_k) - (2.0 * log(__pyx_v_sse))); - /* "metrics.pyx":233 + /* "metrics.pyx":234 * sse += (a - b) ** 2 * op = 2 * k - 2 * log(sse) * if small_sample <= 40: # <<<<<<<<<<<<<< @@ -2521,7 +2541,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, __pyx_t_3 = ((__pyx_v_small_sample <= 40.0) != 0); if (__pyx_t_3) { - /* "metrics.pyx":234 + /* "metrics.pyx":235 * op = 2 * k - 2 * log(sse) * if small_sample <= 40: * op += (2 * k * (k + 1)) * (arr_len - k - 1) ** -1 # <<<<<<<<<<<<<< @@ -2529,7 +2549,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ __pyx_v_op = (__pyx_v_op + (((2 * __pyx_v_k) * (__pyx_v_k + 1)) * __Pyx_pow_long(((__pyx_v_arr_len - __pyx_v_k) - 1), -1L))); - /* "metrics.pyx":233 + /* "metrics.pyx":234 * sse += (a - b) ** 2 * op = 2 * k - 2 * log(sse) * if small_sample <= 40: # <<<<<<<<<<<<<< @@ -2538,7 +2558,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ } - /* "metrics.pyx":227 + /* "metrics.pyx":228 * small_sample = arr_len * k ** -1 * arr_len = len(y) * if method == "linear": # <<<<<<<<<<<<<< @@ -2547,7 +2567,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ } - /* "metrics.pyx":235 + /* "metrics.pyx":236 * if small_sample <= 40: * op += (2 * k * (k + 1)) * (arr_len - k - 1) ** -1 * return op # <<<<<<<<<<<<<< @@ -2555,7 +2575,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, __pyx_r = __pyx_v_op; goto __pyx_L0; - /* "metrics.pyx":189 + /* "metrics.pyx":190 * * * cpdef double aic(list y, list y_hat, int k, str method="linear"): # <<<<<<<<<<<<<< @@ -2612,13 +2632,13 @@ static PyObject *__pyx_pw_7metrics_11aic(PyObject *__pyx_self, PyObject *__pyx_a case 1: if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_y_hat)) != 0)) kw_args--; else { - __Pyx_RaiseArgtupleInvalid("aic", 0, 3, 4, 1); __PYX_ERR(0, 189, __pyx_L3_error) + __Pyx_RaiseArgtupleInvalid("aic", 0, 3, 4, 1); __PYX_ERR(0, 190, __pyx_L3_error) } CYTHON_FALLTHROUGH; case 2: if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_k)) != 0)) kw_args--; else { - __Pyx_RaiseArgtupleInvalid("aic", 0, 3, 4, 2); __PYX_ERR(0, 189, __pyx_L3_error) + __Pyx_RaiseArgtupleInvalid("aic", 0, 3, 4, 2); __PYX_ERR(0, 190, __pyx_L3_error) } CYTHON_FALLTHROUGH; case 3: @@ -2628,7 +2648,7 @@ static PyObject *__pyx_pw_7metrics_11aic(PyObject *__pyx_self, PyObject *__pyx_a } } if (unlikely(kw_args > 0)) { - if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "aic") < 0)) __PYX_ERR(0, 189, __pyx_L3_error) + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "aic") < 0)) __PYX_ERR(0, 190, __pyx_L3_error) } } else { switch (PyTuple_GET_SIZE(__pyx_args)) { @@ -2643,20 +2663,20 @@ static PyObject *__pyx_pw_7metrics_11aic(PyObject *__pyx_self, PyObject *__pyx_a } __pyx_v_y = ((PyObject*)values[0]); __pyx_v_y_hat = ((PyObject*)values[1]); - __pyx_v_k = __Pyx_PyInt_As_int(values[2]); if (unlikely((__pyx_v_k == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 189, __pyx_L3_error) + __pyx_v_k = __Pyx_PyInt_As_int(values[2]); if (unlikely((__pyx_v_k == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 190, __pyx_L3_error) __pyx_v_method = ((PyObject*)values[3]); } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("aic", 0, 3, 4, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 189, __pyx_L3_error) + __Pyx_RaiseArgtupleInvalid("aic", 0, 3, 4, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 190, __pyx_L3_error) __pyx_L3_error:; __Pyx_AddTraceback("metrics.aic", __pyx_clineno, __pyx_lineno, __pyx_filename); __Pyx_RefNannyFinishContext(); return NULL; __pyx_L4_argument_unpacking_done:; - if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_y), (&PyList_Type), 1, "y", 1))) __PYX_ERR(0, 189, __pyx_L1_error) - if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_y_hat), (&PyList_Type), 1, "y_hat", 1))) __PYX_ERR(0, 189, __pyx_L1_error) - if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_method), (&PyString_Type), 1, "method", 1))) __PYX_ERR(0, 189, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_y), (&PyList_Type), 1, "y", 1))) __PYX_ERR(0, 190, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_y_hat), (&PyList_Type), 1, "y_hat", 1))) __PYX_ERR(0, 190, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_method), (&PyString_Type), 1, "method", 1))) __PYX_ERR(0, 190, __pyx_L1_error) __pyx_r = __pyx_pf_7metrics_10aic(__pyx_self, __pyx_v_y, __pyx_v_y_hat, __pyx_v_k, __pyx_v_method); /* function exit code */ @@ -2679,7 +2699,7 @@ static PyObject *__pyx_pf_7metrics_10aic(CYTHON_UNUSED PyObject *__pyx_self, PyO __pyx_t_2.__pyx_n = 1; __pyx_t_2.method = __pyx_v_method; __pyx_t_1 = __pyx_f_7metrics_aic(__pyx_v_y, __pyx_v_y_hat, __pyx_v_k, 0, &__pyx_t_2); - __pyx_t_3 = PyFloat_FromDouble(__pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 189, __pyx_L1_error) + __pyx_t_3 = PyFloat_FromDouble(__pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 190, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_r = __pyx_t_3; __pyx_t_3 = 0; diff --git a/bin/metrics/metrics.pyx b/bin/metrics/metrics.pyx index ff63300..1ee757a 100644 --- a/bin/metrics/metrics.pyx +++ b/bin/metrics/metrics.pyx @@ -181,7 +181,8 @@ cpdef mape(list y, list y_hat): for i in range(0, arr_len, 1): a = y[i] b = y_hat[i] - op += abs(1 - (b * a ** -1.0)) + if a != 0.0: + op += abs(1 - (b * a ** -1.0)) op = op * arr_len ** -1.0 return op diff --git a/bin/metrics/metrics.so b/bin/metrics/metrics.so index 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z@X|_z6`*hcK#=B>nRPBLIn!HkI_{nMD3>k=TxoW2!*^68>sGL_P{0kN^`VJPmUK{s9#50dN2S diff --git a/logs/cov.out b/logs/cov.out index 14c4e9e..9b31ef3 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -6,7 +6,7 @@ Name Stmts Miss Co /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/knn.py 70 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/model.py 44 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/opt.py 157 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/timeseries.py 27 8 70% 95-99, 102-104 +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/timeseries.py 69 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/tree.py 79 0 100% --------------------------------------------------------------------------------------------- -TOTAL 494 8 98% +TOTAL 536 0 100% diff --git a/logs/pylint/lib-timeseries-py.out b/logs/pylint/lib-timeseries-py.out index d7495ee..3fa0e61 100644 --- a/logs/pylint/lib-timeseries-py.out +++ b/logs/pylint/lib-timeseries-py.out @@ -1,3 +1,8 @@ +************* Module mllib.lib.timeseries +timeseries.py:203:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:204:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:205:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:206:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/mllib/__main__.py b/mllib/__main__.py index 64cb131..db376ab 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -64,7 +64,6 @@ args = CLI.parse_args() fn_ip = args.filename[0] -fn_ip = "iris.csv" # ============================================================================= # --- Main @@ -161,11 +160,16 @@ sheet_name="product_01") mod = TimeSeries(df=df_ip, y_var="y", - x_var=["cost", "stock_level", "retail_price"]) + x_var=["cost"], + param={"max_p": 5, + "max_d": 2, + "max_q": 2, + "threshold": 0.05}) df_op = mod.predict(df_ip[["cost", "stock_level", "retail_price"]]) - # op = mod.model_summary + op = mod.model_summary print("\nTime series\n") - # print("R-squared:", op["rsq"]) + for k, v in mod.model_summary.items(): + print(k, str(v).rjust(69 - len(k))) print(elapsed_time("Time", start_t), sep, sep="\n") diff --git a/mllib/lib/metrics.so b/mllib/lib/metrics.so index 2181b1f44c14812c6cbdd35813045caf99f4f160..da0163eff4fc8d0c8b2830fe9e42eebca97cf090 100644 GIT binary patch delta 85121 zcmZ^M2UwKH^Z&aXM?dZmP(V>oET|wLhZIjhR8B>~*h>_9@7<_J?1Z4`tG=43Q4?bl zV@ZsOnutA@W=%0_Vo72=EKy?;Q#AZPv%Bws`F;QQJoDbn?Ck99?CkEm`@S6Co(tT6 zKCr9_`*UUNL|@x5g@0`CY`MxpA~#KLcGI=(t9KL20`09=Out*&IDhYIkB>sxS+!eO zu1DDj^`)>5EK9u})`A^VgTia6lfr$}gzzR2U%e(2xvq$BAMvFW4pgUvcVPGT9tb}k z&33BuGV<9w>Zyz@_O2S(I*sjB?XBChi|X>$+3d1<7T5398n#?^b#FggE5?3SSGC#6 zuB%y@E!iz~T4oP+NBuN&61$%gQpf=2I>ro>>9i5%YLiWCy{Y!{C za!925UawGf{g4rAi{5@UA2LPBE3R~Xezmf4gt^JLBh2xUBMa1eLz}9zd)FVb%3D$F z#TT8%b;}e*h4BaJ;xsM>NoD4G?I2KUdzhyvt`iR{D-TXbxxLg>21a=px{JbZfZK~B zyP%HKn2#&TIE~rB!hF;xy(86IL(~2CUm*+PjeYXf_+jZD$@%J-VR4~7zpt$9SbW01 z_{g+ad-2Ei;;XKAzf<2H)*yR$XSA>oHXK~V)x|A^Nz{08WCT!dbtn)LsVMumvhvq# zvt^-QD<=Ya1t=1J91mpDY1v;m9!0m;n70hW}z>`t?vMw278-w zeUBFjQ|-kLV+C+hcmv;Fr0^|LSQ^P7Sw5QlS%$tljh~{NF!=L*pge%y0YV}b%~8i( 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zBjxc@4!o7wpR-J){Hc`ogXD)7qSmD!yji=!T50yYl)-n$wHrXFks=&yf-g~*iW`)f zfx(Bc(_ilOW3lK3Qbs><9pQ$cik6uRwdnYObhM<8QS(}^v!oV$2pZ)tb!$cU53}6D zrrWRff9tx%O|-!IK`gstmT}9ys(!xT@$64M{#|Wnr*W4-%T?#!8sEuTx82}7nZoJd z^ACqwI(SRtuc^*|y;aEqzvG}Y<#Opo2K_~*DMu6DrMF-=M%Y~mdNp)`-`8EIY8Uu_ zbayxPyWaoQCz(rb_8-i4`!_wm)bHuKC#%ou{X%y@Q|o2^S*~hW?&qj+%l%{h0VkfU zTDtVjzgL#~$M^%Lj#rzP`|Z`O%l!^bUoH0sxYXvvpZMKcx%a3GfA06qF22LaRoqnn zbN^=F`|WFL{;7T^)&D`i$X%?;AM{U4+_TEnL=%5tuC3u~zS>OJT1@Cm_MyK|3tZLu zI(mNW>> df_op = mod.predict(x_predict) + Approach + -------- + + Determine optimal `d`: + + - Check for stationarity for values of `d`. If data is not stationary + where `d` equals to `max_d`, raise a warning and continue. + + Determine max `p`, `q`: + + - Compute max `p` from pacf and `q` from acf. + + Determine optimal `p`, `q`: + + - Run a grid search with `max_p`, `d`, `max_q`. + - Optimal `p`, `d`, `q` corresponds to the model with least AIC. + """ def __init__(self, df: pd.DataFrame, y_var: str, x_var: List[str] = None, - param: Dict = None, - epoch = 'days'): + param: Dict = None + ): """Initialize variables.""" self.df = df self.y_var = y_var self.x_var = x_var - self._check_data() - if param is None: - param = {'p': [0, 1], 'd': [0, 1], 'q': [0]} - if epoch == 'days': - param['S'] = [7, 30, 365] - elif epoch == 'month': - param['S'] = [12] - else: - param['S'] = [0] + if param is None: # pragma: no cover + param = {"max_p": 20, + "max_d": 2, + "max_q": 7, + "threshold": 0.05} self.param = param - self.best_param = None - self._check_data() - self._opt_param() - self._fit() - - def _check_data(self): - df_check = self.df.dropna() - if len(self.df) != len(df_check): - raise ValueError("Found missing values in input data") - # TO DO: Check for y_var, x_var, number of observations. - - def _opt_param(self): - """Determine optimal parameters.""" - # Generate all different combinations of p, q and q triplets - pdq = list(itertools.product(self.param['p'], - self.param['d'], - self.param['q'])) - # Generate all different combinations of seasonal p, q and q triplets - pdqs = [(x[0], x[1], x[2], 12) \ - for x in list(itertools.product(self.param['p'], - self.param['d'], - self.param['q']))] - # Run a grid with pdq and seasonal pdq parameters calculated above and - # get the best AIC value - ans = [] - for comb in pdq: - for combs in pdqs: - try: - if self.x_var is None: - mod = sm.tsa.statespace.SARIMAX(endog = self.df[self.y_var], - order=comb, - seasonal_order=combs, - enforce_stationarity=False, - enforce_invertibility=False, - ) - else: - mod = sm.tsa.statespace.SARIMAX(endog = self.df[self.y_var], - exog = self.df[self.x_var], - order=comb, - seasonal_order=combs, - enforce_stationarity=False, - enforce_invertibility=False - ) - output = mod.fit(disp=0) - ans.append([comb, combs, output.aic]) - print('ARIMA {} x {}12 : \ - AIC Calculated ={}'.format(comb, combs, output.aic)) - except: - continue - # Find the parameters with minimal AIC value - ans_df = pd.DataFrame(ans, columns=['pdq', 'pdqs', 'aic']) - ans_df = ans_df.loc[ans_df['aic'].idxmin()] - self.best_param = {'pdq': ans_df[0], 'pdqs': ans_df[1]} - return - - def _fit(self): - """Fit the model.""" + self.opt_pdq = None + self.aic_val = None + self.model = None + self.model_summary = None + self._opt_pdq(df=self.df[self.y_var], params=self.param) + self._fit(self.opt_pdq) + self._compute_metrics() + + def _opt_pdq(self, + df: pd.core.series.Series, + params: Dict[str, Union[int, float]] + ) -> Tuple[int, int, int]: + """Determine optimal `p`, `d`, `q` values. + + Parameters + ---------- + df : pandas.core.series.Series + + Pandas series containing the target variable only. + + params : Dict, optional + + Parameters to compute optimal `p`, `d`, `q` values. + + Returns + ------- + tuple + + Optimal `p`, `d`, `q` values. + + """ + # Determine optimal d + for d in range(params["max_d"]): # pragma: no cover + p_val = adfuller(df, autolag="AIC", maxlag=params["max_p"])[1] + if p_val <= params["threshold"]: + break + if (p_val > params["threshold"]) and (d == params["max_d"]): + warnings.warn("Maximum value of d reached. Check input data.") + break + df = df - df.shift(1) + df = df.dropna() + # Determine max p and q + ts_len = len(df) + df = pd.DataFrame({"lag": pd.Series(list(range(params["max_p"] + 1))), + "acf": pd.Series(acf(df, + nlags=params["max_q"], + fft=False)), + "pacf": pd.Series(pacf(df, + nlags=params["max_p"], + method='ols'))}) + df["thres_val"] = (np.round(st.norm.ppf(1 - (params["threshold"] + / 2)), 2) + / ((ts_len - d) ** 0.5)) + df["acf_sig"] = np.where((abs(df['acf']) > df["thres_val"]), + 1, 0) + df["pacf_sig"] = np.where((abs(df['pacf']) > df["thres_val"]), + 1, 0) + max_p = int(max(0, df[df["pacf_sig"] == 1].max()["lag"])) + max_q = int(max(0, df[df["acf_sig"] == 1].max()["lag"])) + # Grid search + pdq_val = list(product(list(range(max_p + 1)), + [d], + list(range(max_q + 1)))) + aic_val = {} + for pdq in pdq_val: + aic_val[pdq] = self._fit(pdq=pdq) + opt_pdq = min(aic_val, key=aic_val.get) + self.opt_pdq = opt_pdq + self.aic_val = aic_val + return opt_pdq + + def _compute_metrics(self): + """Compute commonly used metrics to evaluate the model.""" + y = self.df[[self.y_var]].iloc[:, 0].values.tolist() + if self.x_var is None: + y_hat = list(self.model.predict(start=1, end=len(self.df))) + else: + y_hat = list(self.predict(self.df[self.x_var])["y"].values) + model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), + "mae": np.round(metrics.mae(y, y_hat), 3), + "mape": np.round(metrics.mape(y, y_hat), 3), + "rmse": np.round(metrics.rmse(y, y_hat), 3)} + model_summary["mse"] = np.round(model_summary["rmse"] ** 2, 3) + self.model_summary = model_summary + + def _fit(self, pdq: Tuple[int, int, int]) -> float: + """Fit a `SARIMAX` model for a given `p`, `d` and `q` values. + + Parameters + ---------- + pdq : Tuple[int, int, int] + + Tuple containing `p`, `d` and `q` values. + + Returns + ------- + float + + AIC for the fitted model. + + """ if self.x_var is None: - mod = sm.tsa.statespace.SARIMAX(endog = self.df[self.y_var], - order=self.best_param['pdq'], - seasonal_order=self.best_param['pdqs'], - enforce_stationarity=False, - enforce_invertibility=False - ) + model = sm.tsa.statespace.SARIMAX(endog=self.df[self.y_var], + order=pdq) else: - mod = sm.tsa.statespace.SARIMAX(endog = self.df[self.y_var], - exog = self.df[self.x_var], - order=self.best_param['pdq'], - seasonal_order=self.best_param['pdqs'], - enforce_stationarity=False, - enforce_invertibility=False - ) - self.model = mod.fit(disp=0) - return + model = sm.tsa.statespace.SARIMAX(endog=self.df[self.y_var], + exog=self.df[self.x_var], + order=pdq) + model_op = model.fit(disp=False, method="powell") + self.model = model_op + return model_op.aic def predict(self, x_predict: pd.DataFrame = None, @@ -187,7 +243,7 @@ def predict(self, ---------- x_predict : pd.DataFrame, optional - Pandas dataframe containing `ds` and `x_var` (the default is None). + Pandas dataframe containing `x_var` (the default is None). n_interval : int, optional @@ -197,13 +253,17 @@ def predict(self, ------- pd.DataFrame - Pandas dataframe containing `y_var`, `ds` and `x_var`. + Pandas dataframe containing `y_var` and `x_var`. """ if self.x_var is None: - df_pred = pd.DataFrame(\ - self.model.predict(start = len(self.df) + 1, - end=len(self.df) + n_interval)) + df_pred = pd.DataFrame(self.model.predict(start=len(self.df), + end=len(self.df) + + n_interval)) + df_pred = df_pred.iloc[0:len(df_pred) - 1] + df_pred.columns = [self.y_var] else: - df_pred = pd.DataFrame(self.model.predict(exog = x_predict)) + df_pred = pd.DataFrame(self.model.predict(exog=x_predict)) + df_pred = pd.concat([df_pred, self.df[self.x_var]], axis=1) + df_pred.columns = list(self.y_var) + self.x_var return df_pred diff --git a/requirements.txt b/requirements.txt index f51e8af..e084dc3 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,7 +1,8 @@ -xgboost==1.3.3 -statsmodels==0.11.0 -PuLP==1.6.8 numpy==1.18.1 +xgboost==1.5.0 +PuLP==1.6.8 +scipy==1.4.1 pandas==1.0.1 Cython==0.29.15 -scikit_learn==1.0.1 +statsmodels==0.11.0 +scikit_learn==1.0.2 diff --git a/tests/test_timeseries.py b/tests/test_timeseries.py index d2ae7ee..ec223f6 100644 --- a/tests/test_timeseries.py +++ b/tests/test_timeseries.py @@ -23,12 +23,16 @@ from inspect import getsourcefile from os.path import abspath +import pandas as pd + # Set base path path = abspath(getsourcefile(lambda: 0)) path = re.sub(r"(.+)(\/tests.*)", "\\1", path) sys.path.insert(0, path) +from mllib.lib.timeseries import TimeSeries # noqa: F841 + # ============================================================================= # --- DO NOT CHANGE ANYTHING FROM HERE # ============================================================================= @@ -56,6 +60,38 @@ class TestTimeSeries(unittest.TestCase): def setUp(self): """Set up for module ``TimeSeries``.""" + @ignore_warnings + def test_multivariate(self): + """TimeSeries: Test for multivariate.""" + df_ip = pd.read_csv(path + "test_time_series.csv") + mod = TimeSeries(df=df_ip, + y_var="y", + x_var=["cost", "stock_level", "retail_price"], + param={"max_p": 5, + "max_d": 2, + "max_q": 2, + "threshold": 0.05}) + op = mod.model_summary + self.assertEqual(mod.opt_pdq, (1, 0, 1)) + self.assertEqual(1.0, op["rsq"]) + self.assertAlmostEqual(5.214, op["mae"], places=1) + self.assertAlmostEqual(0.014, op["mape"], places=1) + self.assertAlmostEqual(11.052, op["rmse"], places=1) + self.assertAlmostEqual(122.147, op["mse"], places=1) + + @ignore_warnings + def test_univariate(self): + """TimeSeries: Test for univariate.""" + df_ip = pd.read_csv(path + "test_ts_passengers.csv") + mod = TimeSeries(df=df_ip, + y_var="Passengers", + param={"max_p": 5, + "max_d": 2, + "max_q": 2, + "threshold": 0.05}) + op = mod.predict() + self.assertAlmostEqual(op["Passengers"].values[0], 471.038, places=1) + # ============================================================================= # --- Main From 3d842950bd1ec8cb64aba07c94edc31a5f85082c Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Tue, 28 Dec 2021 13:47:19 +0530 Subject: [PATCH 091/116] v0.4.0 changelog: - changed module from TimeSeries to AutoArima --- .github/workflows/checks.yml | 2 +- logs/cov.out | 4 ++-- logs/pylint/lib-timeseries-py.out | 8 +++---- mllib/__main__.py | 39 ++++++++++++++++--------------- mllib/lib/timeseries.py | 18 ++++++++------ requirements.txt | 4 ++-- tests/test_timeseries.py | 31 ++++++++++++------------ 7 files changed, 56 insertions(+), 50 deletions(-) diff --git a/.github/workflows/checks.yml b/.github/workflows/checks.yml index d81d358..6eaaf32 100644 --- a/.github/workflows/checks.yml +++ b/.github/workflows/checks.yml @@ -52,7 +52,7 @@ jobs: - name: Lint with flake8 run: | # stop the build if there are Python syntax errors or undefined names - flake8 . --count --extend-ignore=E402 --show-source --statistics + flake8 . --count --extend-ignore=E402,W0511 --show-source --statistics # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics - name: Test with pytest diff --git a/logs/cov.out b/logs/cov.out index 9b31ef3..a1a7644 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -6,7 +6,7 @@ Name Stmts Miss Co /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/knn.py 70 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/model.py 44 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/opt.py 157 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/timeseries.py 69 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/timeseries.py 71 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/tree.py 79 0 100% --------------------------------------------------------------------------------------------- -TOTAL 536 0 100% +TOTAL 538 0 100% diff --git a/logs/pylint/lib-timeseries-py.out b/logs/pylint/lib-timeseries-py.out index 3fa0e61..2ec292c 100644 --- a/logs/pylint/lib-timeseries-py.out +++ b/logs/pylint/lib-timeseries-py.out @@ -1,8 +1,8 @@ ************* Module mllib.lib.timeseries -timeseries.py:203:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -timeseries.py:204:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -timeseries.py:205:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -timeseries.py:206:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:206:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:207:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:208:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:209:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/mllib/__main__.py b/mllib/__main__.py index db376ab..751ed6f 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -33,7 +33,7 @@ from lib.tree import XGBoost # noqa: F841 from lib.opt import TSP # noqa: F841 from lib.opt import Transport # noqa: F841 -from lib.timeseries import TimeSeries # noqa: F841 +from lib.timeseries import AutoArima # noqa: F841 # ============================================================================= # --- DO NOT CHANGE ANYTHING FROM HERE @@ -64,6 +64,7 @@ args = CLI.parse_args() fn_ip = args.filename[0] +fn_ip = "iris.csv" # ============================================================================= # --- Main @@ -71,12 +72,22 @@ if __name__ == '__main__': start = time.time_ns() + # --- KNN + start_t = time.time_ns() + df_ip = pd.read_csv(path + "input/iris.csv") + mod = KNN(df_ip, "y", ["x1", "x2", "x3", "x4"], method="classify") + print("KNN\n") + for k, v in mod.model_summary.items(): + print(k, str(v).rjust(69 - len(k))) + print(elapsed_time("Time", start_t), + sep, + sep="\n") # --- Clustering start_t = time.time_ns() df_ip = pd.read_csv(path + "input/" + fn_ip) clus_sol = Cluster(df=df_ip, x_var=["x1"]) clus_sol.opt_k() - print("Clustering\n", + print("\nClustering\n", "optimal k = " + str(clus_sol.optimal_k), elapsed_time("Time", start_t), sep, @@ -93,16 +104,6 @@ print(elapsed_time("Time", start_t), sep, sep="\n") - # --- KNN - start_t = time.time_ns() - df_ip = pd.read_csv(path + "input/iris.csv") - mod = KNN(df_ip, "y", ["x1", "x2", "x3", "x4"], method="classify") - print("\nKNN\n") - for k, v in mod.model_summary.items(): - print(k, str(v).rjust(69 - len(k))) - print(elapsed_time("Time", start_t), - sep, - sep="\n") # --- Random forest start_t = time.time_ns() df_ip = pd.read_csv(path + "input/iris.csv") @@ -158,13 +159,13 @@ start_t = time.time_ns() df_ip = pd.read_excel(path + "input/test_time_series.xlsx", sheet_name="product_01") - mod = TimeSeries(df=df_ip, - y_var="y", - x_var=["cost"], - param={"max_p": 5, - "max_d": 2, - "max_q": 2, - "threshold": 0.05}) + mod = AutoArima(df=df_ip, + y_var="y", + x_var=["cost"], + param={"max_p": 5, + "max_d": 2, + "max_q": 2, + "threshold": 0.05}) df_op = mod.predict(df_ip[["cost", "stock_level", "retail_price"]]) op = mod.model_summary print("\nTime series\n") diff --git a/mllib/lib/timeseries.py b/mllib/lib/timeseries.py index f7647f6..b58afb5 100644 --- a/mllib/lib/timeseries.py +++ b/mllib/lib/timeseries.py @@ -18,7 +18,7 @@ # pylint: disable=invalid-name # pylint: disable=wrong-import-position -# pylint: disable=R0902,R0903 +# pylint: disable=R0902,R0903,W0511 from inspect import getsourcefile from os.path import abspath @@ -35,7 +35,7 @@ from statsmodels.tsa.stattools import acf, pacf, adfuller import statsmodels.api as sm -import scipy.stats as st +import scipy.stats as stats path = abspath(getsourcefile(lambda: 0)) path = re.sub(r"(.+\/)(.+.py)", "\\1", path) @@ -44,8 +44,8 @@ import metrics # noqa: F841 -class TimeSeries(): - """Time series module. +class AutoArima(): + """Auto ARIMA time series module. Parameters ---------- @@ -125,7 +125,10 @@ def __init__(self, self.opt_pdq = None self.aic_val = None self.model = None + self.y_hat = None self.model_summary = None + # TODO: Add decomposition + # TODO: Add PDQs self._opt_pdq(df=self.df[self.y_var], params=self.param) self._fit(self.opt_pdq) self._compute_metrics() @@ -172,8 +175,8 @@ def _opt_pdq(self, "pacf": pd.Series(pacf(df, nlags=params["max_p"], method='ols'))}) - df["thres_val"] = (np.round(st.norm.ppf(1 - (params["threshold"] - / 2)), 2) + df["thres_val"] = (np.round(stats.norm.ppf(1 - (params["threshold"] + / 2)), 2) / ((ts_len - d) ** 0.5)) df["acf_sig"] = np.where((abs(df['acf']) > df["thres_val"]), 1, 0) @@ -205,6 +208,7 @@ def _compute_metrics(self): "mape": np.round(metrics.mape(y, y_hat), 3), "rmse": np.round(metrics.rmse(y, y_hat), 3)} model_summary["mse"] = np.round(model_summary["rmse"] ** 2, 3) + self.y_hat = y_hat self.model_summary = model_summary def _fit(self, pdq: Tuple[int, int, int]) -> float: @@ -253,7 +257,7 @@ def predict(self, ------- pd.DataFrame - Pandas dataframe containing `y_var` and `x_var`. + Pandas dataframe containing `y_var` and `x_var` (optional). """ if self.x_var is None: diff --git a/requirements.txt b/requirements.txt index e084dc3..c48d1fc 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,8 +1,8 @@ numpy==1.18.1 -xgboost==1.5.0 -PuLP==1.6.8 scipy==1.4.1 +xgboost==1.5.0 pandas==1.0.1 Cython==0.29.15 statsmodels==0.11.0 +PuLP==1.6.8 scikit_learn==1.0.2 diff --git a/tests/test_timeseries.py b/tests/test_timeseries.py index ec223f6..0fe6b21 100644 --- a/tests/test_timeseries.py +++ b/tests/test_timeseries.py @@ -13,7 +13,7 @@ # pylint: disable=invalid-name # pylint: disable=wrong-import-position -# pylint: disable=W0611 +# pylint: disable=W0511,W0611 import unittest import warnings @@ -31,7 +31,7 @@ sys.path.insert(0, path) -from mllib.lib.timeseries import TimeSeries # noqa: F841 +from mllib.lib.timeseries import AutoArima # noqa: F841 # ============================================================================= # --- DO NOT CHANGE ANYTHING FROM HERE @@ -54,6 +54,7 @@ def do_test(self, *args, **kwargs): return do_test +# TODO: Change integration tests. class TestTimeSeries(unittest.TestCase): """Test suite for module ``TimeSeries``.""" @@ -64,13 +65,13 @@ def setUp(self): def test_multivariate(self): """TimeSeries: Test for multivariate.""" df_ip = pd.read_csv(path + "test_time_series.csv") - mod = TimeSeries(df=df_ip, - y_var="y", - x_var=["cost", "stock_level", "retail_price"], - param={"max_p": 5, - "max_d": 2, - "max_q": 2, - "threshold": 0.05}) + mod = AutoArima(df=df_ip, + y_var="y", + x_var=["cost", "stock_level", "retail_price"], + param={"max_p": 5, + "max_d": 2, + "max_q": 2, + "threshold": 0.05}) op = mod.model_summary self.assertEqual(mod.opt_pdq, (1, 0, 1)) self.assertEqual(1.0, op["rsq"]) @@ -83,12 +84,12 @@ def test_multivariate(self): def test_univariate(self): """TimeSeries: Test for univariate.""" df_ip = pd.read_csv(path + "test_ts_passengers.csv") - mod = TimeSeries(df=df_ip, - y_var="Passengers", - param={"max_p": 5, - "max_d": 2, - "max_q": 2, - "threshold": 0.05}) + mod = AutoArima(df=df_ip, + y_var="Passengers", + param={"max_p": 5, + "max_d": 2, + "max_q": 2, + "threshold": 0.05}) op = mod.predict() self.assertAlmostEqual(op["Passengers"].values[0], 471.038, places=1) From 262bb528efb9de723bca03898e03706066cb614a Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Tue, 28 Dec 2021 13:50:35 +0530 Subject: [PATCH 092/116] v0.4.0 --- mllib/lib/timeseries.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/mllib/lib/timeseries.py b/mllib/lib/timeseries.py index b58afb5..0e8d753 100644 --- a/mllib/lib/timeseries.py +++ b/mllib/lib/timeseries.py @@ -3,7 +3,7 @@ **Available routines:** -- class ``TimeSeries``: Builds time series model using fbprophet. +- class ``AutoArima``: Builds time series model using SARIMAX. Credits ------- @@ -13,7 +13,7 @@ - Diptesh - Madhu - Date: Dec 21, 2021 + Date: Dec 28, 2021 """ # pylint: disable=invalid-name From 0fe5130fd1610d4e415185512092bd4175ff33b7 Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Tue, 28 Dec 2021 13:51:51 +0530 Subject: [PATCH 093/116] v0.4.0 --- mllib/lib/timeseries.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/mllib/lib/timeseries.py b/mllib/lib/timeseries.py index 0e8d753..ac7e5f8 100644 --- a/mllib/lib/timeseries.py +++ b/mllib/lib/timeseries.py @@ -82,9 +82,9 @@ class AutoArima(): Example ------- - >>> mod = TimeSeries(df=df_ip, - y_var="y", - x_var=["cost", "stock_level", "retail_price"]) + >>> mod = AutoArima(df=df_ip, + y_var="y", + x_var=["cost", "stock_level", "retail_price"]) >>> df_op = mod.predict(x_predict) Approach From 77fe146663cb1a43305be16a3f3debc62249774c Mon Sep 17 00:00:00 2001 From: Diptesh Basak Date: Wed, 29 Dec 2021 13:24:17 +0530 Subject: [PATCH 094/116] v0.4.0 --- mllib/__main__.py | 1 + mllib/lib/timeseries.py | 1 + 2 files changed, 2 insertions(+) diff --git a/mllib/__main__.py b/mllib/__main__.py index 751ed6f..6acf414 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -64,6 +64,7 @@ args = CLI.parse_args() fn_ip = args.filename[0] +# TODO: Remove this line. fn_ip = "iris.csv" # ============================================================================= diff --git a/mllib/lib/timeseries.py b/mllib/lib/timeseries.py index ac7e5f8..22f49f0 100644 --- a/mllib/lib/timeseries.py +++ b/mllib/lib/timeseries.py @@ -184,6 +184,7 @@ def _opt_pdq(self, 1, 0) max_p = int(max(0, df[df["pacf_sig"] == 1].max()["lag"])) max_q = int(max(0, df[df["acf_sig"] == 1].max()["lag"])) + # TODO: Add stepwise search for faster computation. # Grid search pdq_val = list(product(list(range(max_p + 1)), [d], From c340912a2208539a734a7483825c70b4b0688640 Mon Sep 17 00:00:00 2001 From: Diptesh Date: Sat, 1 Jan 2022 00:34:38 +0530 Subject: [PATCH 095/116] v0.4.0 --- data/input/test_time_series.csv | 336 ------------------------------ data/input/test_time_series.xlsx | Bin 304594 -> 24769 bytes data/input/test_ts_passengers.csv | 145 ------------- logs/cov.out | 4 +- logs/pylint/lib-timeseries-py.out | 8 +- mllib/__main__.py | 18 +- mllib/lib/timeseries.py | 250 ++++++++++------------ requirements.txt | 6 +- tests/test_cluster.py | 12 +- tests/test_knn.py | 6 +- tests/test_metrics.py | 12 +- tests/test_model.py | 4 +- tests/test_timeseries.py | 44 ++-- tests/test_tree.py | 8 +- 14 files changed, 158 insertions(+), 695 deletions(-) delete mode 100644 data/input/test_time_series.csv delete mode 100644 data/input/test_ts_passengers.csv diff --git a/data/input/test_time_series.csv b/data/input/test_time_series.csv deleted file mode 100644 index 03b99df..0000000 --- a/data/input/test_time_series.csv +++ /dev/null @@ -1,336 +0,0 @@ -ds,y,cost,cp,stock_level,retail_price -01/01/2017,0,0,42.5340409356725,4890,152.650887920178 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-1949-02,118 -1949-03,132 -1949-04,129 -1949-05,121 -1949-06,135 -1949-07,148 -1949-08,148 -1949-09,136 -1949-10,119 -1949-11,104 -1949-12,118 -1950-01,115 -1950-02,126 -1950-03,141 -1950-04,135 -1950-05,125 -1950-06,149 -1950-07,170 -1950-08,170 -1950-09,158 -1950-10,133 -1950-11,114 -1950-12,140 -1951-01,145 -1951-02,150 -1951-03,178 -1951-04,163 -1951-05,172 -1951-06,178 -1951-07,199 -1951-08,199 -1951-09,184 -1951-10,162 -1951-11,146 -1951-12,166 -1952-01,171 -1952-02,180 -1952-03,193 -1952-04,181 -1952-05,183 -1952-06,218 -1952-07,230 -1952-08,242 -1952-09,209 -1952-10,191 -1952-11,172 -1952-12,194 -1953-01,196 -1953-02,196 -1953-03,236 -1953-04,235 -1953-05,229 -1953-06,243 -1953-07,264 -1953-08,272 -1953-09,237 -1953-10,211 -1953-11,180 -1953-12,201 -1954-01,204 -1954-02,188 -1954-03,235 -1954-04,227 -1954-05,234 -1954-06,264 -1954-07,302 -1954-08,293 -1954-09,259 -1954-10,229 -1954-11,203 -1954-12,229 -1955-01,242 -1955-02,233 -1955-03,267 -1955-04,269 -1955-05,270 -1955-06,315 -1955-07,364 -1955-08,347 -1955-09,312 -1955-10,274 -1955-11,237 -1955-12,278 -1956-01,284 -1956-02,277 -1956-03,317 -1956-04,313 -1956-05,318 -1956-06,374 -1956-07,413 -1956-08,405 -1956-09,355 -1956-10,306 -1956-11,271 -1956-12,306 -1957-01,315 -1957-02,301 -1957-03,356 -1957-04,348 -1957-05,355 -1957-06,422 -1957-07,465 -1957-08,467 -1957-09,404 -1957-10,347 -1957-11,305 -1957-12,336 -1958-01,340 -1958-02,318 -1958-03,362 -1958-04,348 -1958-05,363 -1958-06,435 -1958-07,491 -1958-08,505 -1958-09,404 -1958-10,359 -1958-11,310 -1958-12,337 -1959-01,360 -1959-02,342 -1959-03,406 -1959-04,396 -1959-05,420 -1959-06,472 -1959-07,548 -1959-08,559 -1959-09,463 -1959-10,407 -1959-11,362 -1959-12,405 -1960-01,417 -1960-02,391 -1960-03,419 -1960-04,461 -1960-05,472 -1960-06,535 -1960-07,622 -1960-08,606 -1960-09,508 -1960-10,461 -1960-11,390 -1960-12,432 diff --git a/logs/cov.out b/logs/cov.out index a1a7644..345a9de 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -6,7 +6,7 @@ Name Stmts Miss Co /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/knn.py 70 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/model.py 44 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/opt.py 157 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/timeseries.py 71 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/timeseries.py 61 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/tree.py 79 0 100% --------------------------------------------------------------------------------------------- -TOTAL 538 0 100% +TOTAL 528 0 100% diff --git a/logs/pylint/lib-timeseries-py.out b/logs/pylint/lib-timeseries-py.out index 2ec292c..b727999 100644 --- a/logs/pylint/lib-timeseries-py.out +++ b/logs/pylint/lib-timeseries-py.out @@ -1,8 +1,8 @@ ************* Module mllib.lib.timeseries -timeseries.py:206:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -timeseries.py:207:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -timeseries.py:208:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -timeseries.py:209:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:191:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:192:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:193:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:194:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/mllib/__main__.py b/mllib/__main__.py index 6acf414..c15175e 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -64,8 +64,6 @@ args = CLI.parse_args() fn_ip = args.filename[0] -# TODO: Remove this line. -fn_ip = "iris.csv" # ============================================================================= # --- Main @@ -159,18 +157,12 @@ # --- Time series start_t = time.time_ns() df_ip = pd.read_excel(path + "input/test_time_series.xlsx", - sheet_name="product_01") - mod = AutoArima(df=df_ip, - y_var="y", - x_var=["cost"], - param={"max_p": 5, - "max_d": 2, - "max_q": 2, - "threshold": 0.05}) - df_op = mod.predict(df_ip[["cost", "stock_level", "retail_price"]]) - op = mod.model_summary + sheet_name="exog") + df_ip = df_ip.set_index("ts") + mod = AutoArima(df=df_ip, y_var="y", x_var=["cost"]) + op = mod.metrics print("\nTime series\n") - for k, v in mod.model_summary.items(): + for k, v in op.items(): print(k, str(v).rjust(69 - len(k))) print(elapsed_time("Time", start_t), sep, diff --git a/mllib/lib/timeseries.py b/mllib/lib/timeseries.py index 22f49f0..4916bc6 100644 --- a/mllib/lib/timeseries.py +++ b/mllib/lib/timeseries.py @@ -13,7 +13,7 @@ - Diptesh - Madhu - Date: Dec 28, 2021 + Date: Dec 31, 2021 """ # pylint: disable=invalid-name @@ -23,19 +23,17 @@ from inspect import getsourcefile from os.path import abspath -from typing import Tuple, Dict, List, Union -from itertools import product +from typing import Dict, List import re import sys -import warnings import pandas as pd import numpy as np -from statsmodels.tsa.stattools import acf, pacf, adfuller -import statsmodels.api as sm -import scipy.stats as stats +import pmdarima as pm + +from statsmodels.tsa.seasonal import seasonal_decompose path = abspath(getsourcefile(lambda: 0)) path = re.sub(r"(.+\/)(.+.py)", "\\1", path) @@ -43,6 +41,10 @@ import metrics # noqa: F841 +# ============================================================================= +# --- +# ============================================================================= + class AutoArima(): """Auto ARIMA time series module. @@ -51,7 +53,7 @@ class AutoArima(): ---------- df: pandas.DataFrame - Pandas dataframe containing the `y_var` and optinal `x_var` + Pandas dataframe containing the `y_var`, `ts` and optinal `x_var` y_var: str @@ -61,7 +63,7 @@ class AutoArima(): Independant variables (the default is None). - param: dict, optional + params: dict, optional Time series parameters (the default is None). @@ -76,6 +78,10 @@ class AutoArima(): Model summary containing key metrics like R-squared, RMSE, MSE, MAE, MAPE. + y_hat: list + + Predicted values for the orginal data. + Methods ------- predict @@ -87,157 +93,108 @@ class AutoArima(): x_var=["cost", "stock_level", "retail_price"]) >>> df_op = mod.predict(x_predict) - Approach - -------- - - Determine optimal `d`: - - - Check for stationarity for values of `d`. If data is not stationary - where `d` equals to `max_d`, raise a warning and continue. - - Determine max `p`, `q`: - - - Compute max `p` from pacf and `q` from acf. - - Determine optimal `p`, `q`: - - - Run a grid search with `max_p`, `d`, `max_q`. - - Optimal `p`, `d`, `q` corresponds to the model with least AIC. - """ def __init__(self, df: pd.DataFrame, y_var: str, x_var: List[str] = None, - param: Dict = None + params: Dict[str, object] = None ): """Initialize variables.""" self.df = df self.y_var = y_var self.x_var = x_var - if param is None: # pragma: no cover - param = {"max_p": 20, - "max_d": 2, - "max_q": 7, - "threshold": 0.05} - self.param = param - self.opt_pdq = None - self.aic_val = None - self.model = None + self.params = params self.y_hat = None self.model_summary = None - # TODO: Add decomposition - # TODO: Add PDQs - self._opt_pdq(df=self.df[self.y_var], params=self.param) - self._fit(self.opt_pdq) - self._compute_metrics() - - def _opt_pdq(self, - df: pd.core.series.Series, - params: Dict[str, Union[int, float]] - ) -> Tuple[int, int, int]: - """Determine optimal `p`, `d`, `q` values. - - Parameters - ---------- - df : pandas.core.series.Series - - Pandas series containing the target variable only. - - params : Dict, optional - - Parameters to compute optimal `p`, `d`, `q` values. - - Returns - ------- - tuple - - Optimal `p`, `d`, `q` values. - - """ - # Determine optimal d - for d in range(params["max_d"]): # pragma: no cover - p_val = adfuller(df, autolag="AIC", maxlag=params["max_p"])[1] - if p_val <= params["threshold"]: - break - if (p_val > params["threshold"]) and (d == params["max_d"]): - warnings.warn("Maximum value of d reached. Check input data.") - break - df = df - df.shift(1) - df = df.dropna() - # Determine max p and q - ts_len = len(df) - df = pd.DataFrame({"lag": pd.Series(list(range(params["max_p"] + 1))), - "acf": pd.Series(acf(df, - nlags=params["max_q"], - fft=False)), - "pacf": pd.Series(pacf(df, - nlags=params["max_p"], - method='ols'))}) - df["thres_val"] = (np.round(stats.norm.ppf(1 - (params["threshold"] - / 2)), 2) - / ((ts_len - d) ** 0.5)) - df["acf_sig"] = np.where((abs(df['acf']) > df["thres_val"]), - 1, 0) - df["pacf_sig"] = np.where((abs(df['pacf']) > df["thres_val"]), - 1, 0) - max_p = int(max(0, df[df["pacf_sig"] == 1].max()["lag"])) - max_q = int(max(0, df[df["acf_sig"] == 1].max()["lag"])) - # TODO: Add stepwise search for faster computation. - # Grid search - pdq_val = list(product(list(range(max_p + 1)), - [d], - list(range(max_q + 1)))) - aic_val = {} - for pdq in pdq_val: - aic_val[pdq] = self._fit(pdq=pdq) - opt_pdq = min(aic_val, key=aic_val.get) - self.opt_pdq = opt_pdq - self.aic_val = aic_val - return opt_pdq - - def _compute_metrics(self): + # Set default parameters + if self.params is None: + self.params = self._seasonality() + # Build optimal model + self.model = self._opt_params() + self.opt_params = self.model.to_dict() + # Compute metrics + self.metrics = self._compute_metrics() + # Model summary + self.model_summary = self.model.summary() + + def _seasonality(self) -> Dict[str, object]: + """Determine seasonality and return parameters.""" + decomposition = seasonal_decompose(self.df[self.y_var], + model="additive") + _seasonal = decomposition.seasonal + freq = _seasonal.value_counts() + m = int(np.ceil(len(self.df) / freq.iloc[0])) + seasonal = True + if m < 2: # pragma: no cover + seasonal = False + params = {"max_p": 15, + "max_d": 2, + "max_q": 15, + "max_P": 15, + "max_D": 2, + "max_Q": 15, + "seasonal": seasonal, + "m": m, + "threshold": 0.05, + "debug": False} + return params + + def _opt_params(self) -> object: + if self.x_var is None: + model = pm.auto_arima(y=self.df[[self.y_var]], + start_p=0, + max_p=self.params["max_p"], + max_d=self.params["max_d"], + start_q=0, + max_q=self.params["max_q"], + start_P=0, + max_P=self.params["max_P"], + max_D=self.params["max_D"], + start_Q=0, + max_Q=self.params["max_Q"], + information_criterion="aicc", + alpha=self.params["threshold"], + trace=self.params["debug"], + seasonal=self.params["seasonal"], + m=self.params["m"]) + else: + model = pm.auto_arima(y=self.df[[self.y_var]], + X=self.df[self.x_var], + start_p=0, + max_p=self.params["max_p"], + max_d=self.params["max_d"], + start_q=0, + max_q=self.params["max_q"], + start_P=0, + max_P=self.params["max_P"], + max_D=self.params["max_D"], + start_Q=0, + max_Q=self.params["max_Q"], + information_criterion="aicc", + alpha=self.params["threshold"], + trace=self.params["debug"], + seasonal=self.params["seasonal"], + m=self.params["m"]) + return model + + def _compute_metrics(self) -> Dict[str, float]: """Compute commonly used metrics to evaluate the model.""" y = self.df[[self.y_var]].iloc[:, 0].values.tolist() if self.x_var is None: - y_hat = list(self.model.predict(start=1, end=len(self.df))) + d = self.opt_params["order"][1] + y_hat = list(self.model.predict_in_sample(start=d, + end=len(self.df))) else: - y_hat = list(self.predict(self.df[self.x_var])["y"].values) + y_hat = list(self.predict(self.df[self.x_var])[self.y_var].values) model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), "mae": np.round(metrics.mae(y, y_hat), 3), "mape": np.round(metrics.mape(y, y_hat), 3), "rmse": np.round(metrics.rmse(y, y_hat), 3)} model_summary["mse"] = np.round(model_summary["rmse"] ** 2, 3) self.y_hat = y_hat - self.model_summary = model_summary - - def _fit(self, pdq: Tuple[int, int, int]) -> float: - """Fit a `SARIMAX` model for a given `p`, `d` and `q` values. - - Parameters - ---------- - pdq : Tuple[int, int, int] - - Tuple containing `p`, `d` and `q` values. - - Returns - ------- - float - - AIC for the fitted model. - - """ - if self.x_var is None: - model = sm.tsa.statespace.SARIMAX(endog=self.df[self.y_var], - order=pdq) - else: - model = sm.tsa.statespace.SARIMAX(endog=self.df[self.y_var], - exog=self.df[self.x_var], - order=pdq) - model_op = model.fit(disp=False, method="powell") - self.model = model_op - return model_op.aic + return model_summary def predict(self, x_predict: pd.DataFrame = None, @@ -262,13 +219,20 @@ def predict(self, """ if self.x_var is None: - df_pred = pd.DataFrame(self.model.predict(start=len(self.df), - end=len(self.df) - + n_interval)) - df_pred = df_pred.iloc[0:len(df_pred) - 1] + df_pred = self.model.predict(n_periods=n_interval, + alpha=self.params["threshold"], + return_conf_int=False) + df_pred = pd.DataFrame(df_pred) df_pred.columns = [self.y_var] else: - df_pred = pd.DataFrame(self.model.predict(exog=x_predict)) - df_pred = pd.concat([df_pred, self.df[self.x_var]], axis=1) + n_interval = x_predict.shape[0] + df_pred = self.model.predict(n_periods=n_interval, + X=x_predict, + alpha=self.params["threshold"], + return_conf_int=False) + df_pred = pd.DataFrame(df_pred) + df_pred = pd.concat([df_pred, x_predict.reset_index(drop=True)], + axis=1, + ignore_index=True) df_pred.columns = list(self.y_var) + self.x_var return df_pred diff --git a/requirements.txt b/requirements.txt index c48d1fc..e407739 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,8 +1,8 @@ +pmdarima==0.0.0 numpy==1.18.1 -scipy==1.4.1 -xgboost==1.5.0 pandas==1.0.1 +PuLP==1.6.8 Cython==0.29.15 +xgboost==1.5.0 statsmodels==0.11.0 -PuLP==1.6.8 scikit_learn==1.0.2 diff --git a/tests/test_cluster.py b/tests/test_cluster.py index f14e30b..f31a160 100644 --- a/tests/test_cluster.py +++ b/tests/test_cluster.py @@ -60,7 +60,7 @@ def setUp(self): """Set up for module ``metric``.""" def test_categorical(self): - """Cluster: Test for categorical variables.""" + """Cluster: Test for categorical variables""" df_ip = pd.read_csv(path + "test_cluster.csv") clus_sol = Cluster(df=df_ip, x_var=["x1"], max_cluster=6, @@ -70,7 +70,7 @@ def test_categorical(self): self.assertEqual(clus_sol.method, "gap_max") def test_categorical_multiple(self): - """Cluster: Test for multiple categorical variables.""" + """Cluster: Test for multiple categorical variables""" df_ip = pd.read_csv(path + "test_cluster.csv") clus_sol = Cluster(df=df_ip, x_var=["x1", "x4"], max_cluster=10, @@ -80,7 +80,7 @@ def test_categorical_multiple(self): self.assertEqual(clus_sol.method, "gap_max") def test_categorical_continuos(self): - """Cluster: Test for categorical and continuos variables.""" + """Cluster: Test for categorical and continuos variables""" df_ip = pd.read_csv(path + "test_cluster.csv") clus_sol = Cluster(df=df_ip, x_var=["x1", "x2"], max_cluster=6, @@ -90,7 +90,7 @@ def test_categorical_continuos(self): self.assertEqual(clus_sol.method, "gap_max") def test_continuos_gap_max(self): - """Cluster: Test for continuos variables gap_max.""" + """Cluster: Test for continuos variables gap_max""" df_ip = pd.read_csv(path + "test_cluster.csv") clus_sol = Cluster(df=df_ip, x_var=["x2"], max_cluster=5, @@ -101,7 +101,7 @@ def test_continuos_gap_max(self): self.assertEqual(clus_sol.method, "gap_max") def test_continuos_one_se(self): - """Cluster: Test for continuos variables one_se.""" + """Cluster: Test for continuos variables one_se""" df_ip = pd.read_csv(path + "test_cluster.csv") clus_sol = Cluster(df=df_ip, x_var=["x2", "x3"], max_cluster=3, @@ -111,7 +111,7 @@ def test_continuos_one_se(self): self.assertEqual(clus_sol.method, "one_se") def test_gap_max_less_max_clus(self): - """Cluster: Test for gap_max where optimal k < max_cluster.""" + """Cluster: Test for gap_max where optimal k < max_cluster""" df_ip = pd.read_csv(path + "test_cluster.csv") clus_sol = Cluster(df=df_ip, x_var=["x3"], max_cluster=3, diff --git a/tests/test_knn.py b/tests/test_knn.py index a4c0547..70a5f9d 100644 --- a/tests/test_knn.py +++ b/tests/test_knn.py @@ -64,7 +64,7 @@ def setUp(self): """Set up for module ``KNN``.""" def test_knn_class(self): - """KNN: Test for classification.""" + """KNN: Test for classification""" x_var = ["x1", "x2"] y_var = "y" df_ip = pd.read_csv(path + "iris.csv") @@ -81,7 +81,7 @@ def test_knn_class(self): @ignore_warnings def test_knn_reg(self): - """KNN: Test for regression.""" + """KNN: Test for regression""" x_var = ["x1", "x2"] y_var = "y" df_ip = pd.read_csv(path + "iris.csv") @@ -97,7 +97,7 @@ def test_knn_reg(self): self.assertLessEqual(mse, 0.1) def test_knn_cat(self): - """KNN: Test for one-hot encoding in prediction.""" + """KNN: Test for one-hot encoding in prediction""" x_var = ["x1", "x2"] y_var = "y" df_ip = pd.read_csv(path + "iris.csv") diff --git a/tests/test_metrics.py b/tests/test_metrics.py index 37d7705..3132a1d 100644 --- a/tests/test_metrics.py +++ b/tests/test_metrics.py @@ -54,7 +54,7 @@ def setUp(self): """Set up for module ``metrics``.""" def test_rsq(self): - """Metrics: Test for R-squared.""" + """Metrics: Test for R-squared""" y = [3, 8, 10, 17, 24, 27] y_hat = [2, 8, 10, 13, 18, 20] exp_op = 0.973 @@ -62,7 +62,7 @@ def test_rsq(self): self.assertEqual(op, exp_op) def test_mse(self): - """Metrics: Test for MSE.""" + """Metrics: Test for MSE""" y = [34, 37, 44, 47, 48, 48, 46, 43, 32, 27, 26, 24] y_hat = [37, 40, 46, 44, 46, 50, 45, 44, 34, 30, 22, 23] exp_op = 5.917 @@ -70,7 +70,7 @@ def test_mse(self): self.assertEqual(op, exp_op) def test_rmse(self): - """Metrics: Test for RMSE.""" + """Metrics: Test for RMSE""" y = [34, 37, 44, 47, 48, 48, 46, 43, 32, 27, 26, 24] y_hat = [37, 40, 46, 44, 46, 50, 45, 44, 34, 30, 22, 23] exp_op = 2.432 @@ -78,7 +78,7 @@ def test_rmse(self): self.assertEqual(op, exp_op) def test_mae(self): - """Metrics: Test for MAE.""" + """Metrics: Test for MAE""" y = [12, 13, 14, 15, 15, 22, 27] y_hat = [11, 13, 14, 14, 15, 16, 18] exp_op = 2.429 @@ -86,7 +86,7 @@ def test_mae(self): self.assertEqual(op, exp_op) def test_mape(self): - """Metrics: Test for MAPE.""" + """Metrics: Test for MAPE""" y = [34, 37, 44, 47, 48, 48, 46, 43, 32, 27, 26, 24] y_hat = [37, 40, 46, 44, 46, 50, 45, 44, 34, 30, 22, 23] exp_op = 0.065 @@ -94,7 +94,7 @@ def test_mape(self): self.assertEqual(op, exp_op) def test_aic_linear(self): - """Metrics: Test for AIC in linear regression.""" + """Metrics: Test for AIC in linear regression""" y = [34, 37, 44, 47, 48, 48, 46, 43, 32, 27, 26, 24] y_hat = [37, 40, 46, 44, 46, 50, 45, 44, 34, 30, 22, 23] exp_op = -6.525 diff --git a/tests/test_model.py b/tests/test_model.py index a4c7ac1..e0c4cd7 100644 --- a/tests/test_model.py +++ b/tests/test_model.py @@ -61,7 +61,7 @@ def setUp(self): """Set up for module ``GLMNet``.""" def test_known_equation(self): - """GLMNet: Test a known equation.""" + """GLMNet: Test a known equation""" df_ip = pd.read_csv(path + "test_glmnet.csv") mod = GLMNet(df=df_ip, y_var="y", @@ -73,7 +73,7 @@ def test_known_equation(self): self.assertEqual(np.round(op.get('coef')[2], 0), 0.0) def test_predict_target_variable(self): - """GLMNet: Test to predict a target variable.""" + """GLMNet: Test to predict a target variable""" df_ip = pd.read_csv(path + "test_glmnet.csv") mod = GLMNet(df=df_ip, y_var="y", diff --git a/tests/test_timeseries.py b/tests/test_timeseries.py index 0fe6b21..a43a1e9 100644 --- a/tests/test_timeseries.py +++ b/tests/test_timeseries.py @@ -61,37 +61,25 @@ class TestTimeSeries(unittest.TestCase): def setUp(self): """Set up for module ``TimeSeries``.""" - @ignore_warnings def test_multivariate(self): - """TimeSeries: Test for multivariate.""" - df_ip = pd.read_csv(path + "test_time_series.csv") - mod = AutoArima(df=df_ip, - y_var="y", - x_var=["cost", "stock_level", "retail_price"], - param={"max_p": 5, - "max_d": 2, - "max_q": 2, - "threshold": 0.05}) - op = mod.model_summary - self.assertEqual(mod.opt_pdq, (1, 0, 1)) - self.assertEqual(1.0, op["rsq"]) - self.assertAlmostEqual(5.214, op["mae"], places=1) - self.assertAlmostEqual(0.014, op["mape"], places=1) - self.assertAlmostEqual(11.052, op["rmse"], places=1) - self.assertAlmostEqual(122.147, op["mse"], places=1) - - @ignore_warnings + """TimeSeries: Test for multivariate""" + df_ip = pd.read_excel(path + "test_time_series.xlsx", + sheet_name="exog") + df_ip = df_ip.set_index("ts") + mod = AutoArima(df=df_ip, y_var="y", x_var=["cost"]) + op = mod.metrics + self.assertEqual(mod.opt_params["order"], (0, 1, 1)) + self.assertAlmostEqual(1.0, op["rsq"], places=1) + self.assertLessEqual(op["mape"], 0.1) + def test_univariate(self): - """TimeSeries: Test for univariate.""" - df_ip = pd.read_csv(path + "test_ts_passengers.csv") - mod = AutoArima(df=df_ip, - y_var="Passengers", - param={"max_p": 5, - "max_d": 2, - "max_q": 2, - "threshold": 0.05}) + """TimeSeries: Test for univariate""" + df_ip = pd.read_excel(path + "test_time_series.xlsx", + sheet_name="endog") + df_ip = df_ip.set_index("ts") + mod = AutoArima(df=df_ip, y_var="Passengers") op = mod.predict() - self.assertAlmostEqual(op["Passengers"].values[0], 471.038, places=1) + self.assertAlmostEqual(op["Passengers"].values[0], 445.634, places=1) # ============================================================================= diff --git a/tests/test_tree.py b/tests/test_tree.py index 5ae5fc2..016e8e9 100644 --- a/tests/test_tree.py +++ b/tests/test_tree.py @@ -65,7 +65,7 @@ def setUp(self): """Set up for module ``RandomForest``.""" def test_rf_class(self): - """RandomForest: Test for classification.""" + """RandomForest: Test for classification""" x_var = ["x1", "x2", "x3", "x4"] y_var = "y" df_ip = pd.read_csv(path + "iris.csv") @@ -82,7 +82,7 @@ def test_rf_class(self): @ignore_warnings def test_rf_reg(self): - """RandomForest: Test for regression.""" + """RandomForest: Test for regression""" x_var = ["x1", "x2", "x3", "x4"] y_var = "y" df_ip = pd.read_csv(path + "iris.csv") @@ -106,7 +106,7 @@ def setUp(self): @ignore_warnings def test_xgboost_class(self): - """XGBoost: Test for classification.""" + """XGBoost: Test for classification""" x_var = ["x1", "x2"] y_var = "y" df_ip = pd.read_csv(path + "iris.csv") @@ -123,7 +123,7 @@ def test_xgboost_class(self): @ignore_warnings def test_xgboost_reg(self): - """XGBoost: Test for regression.""" + """XGBoost: Test for regression""" x_var = ["x1", "x2", "x3", "x4"] y_var = "y" df_ip = pd.read_csv(path + "iris.csv") From 5639a0096e071a55d70adf3e189897124937ad50 Mon Sep 17 00:00:00 2001 From: Diptesh Date: Sat, 1 Jan 2022 00:40:06 +0530 Subject: [PATCH 096/116] v0.4.0 --- requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index e407739..e0fe837 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,4 +1,4 @@ -pmdarima==0.0.0 +pmdarima==1.8.0 numpy==1.18.1 pandas==1.0.1 PuLP==1.6.8 From 1104b5e38a2b8ba9098b128ab9c371bfb0f8d552 Mon Sep 17 00:00:00 2001 From: Diptesh Date: Sat, 1 Jan 2022 00:49:49 +0530 Subject: [PATCH 097/116] v0.4.0 --- requirements.txt | 7 ++++--- tests/test_timeseries.py | 3 +++ 2 files changed, 7 insertions(+), 3 deletions(-) diff --git a/requirements.txt b/requirements.txt index e0fe837..5f491c4 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,8 +1,9 @@ -pmdarima==1.8.0 numpy==1.18.1 -pandas==1.0.1 PuLP==1.6.8 +statsmodels==0.11.0 Cython==0.29.15 +pandas==1.0.1 xgboost==1.5.0 -statsmodels==0.11.0 +xlrd==1.2.0 +pmdarima==1.8.0 scikit_learn==1.0.2 diff --git a/tests/test_timeseries.py b/tests/test_timeseries.py index a43a1e9..e46fbfe 100644 --- a/tests/test_timeseries.py +++ b/tests/test_timeseries.py @@ -24,6 +24,7 @@ from os.path import abspath import pandas as pd +import xlrd # Set base path path = abspath(getsourcefile(lambda: 0)) @@ -33,6 +34,8 @@ from mllib.lib.timeseries import AutoArima # noqa: F841 +__all__ = ["xlrd", ] + # ============================================================================= # --- DO NOT CHANGE ANYTHING FROM HERE # ============================================================================= From 687de4989f55bc4c2b31bdf94aaababaf2aba9d8 Mon Sep 17 00:00:00 2001 From: Diptesh Date: Sat, 1 Jan 2022 14:42:01 +0530 Subject: [PATCH 098/116] v0.4.0 --- logs/pylint/lib-timeseries-py.out | 8 ++++---- mllib/lib/timeseries.py | 25 +++++++++++++++++++++---- requirements.txt | 10 +++++----- 3 files changed, 30 insertions(+), 13 deletions(-) diff --git a/logs/pylint/lib-timeseries-py.out b/logs/pylint/lib-timeseries-py.out index b727999..ec79001 100644 --- a/logs/pylint/lib-timeseries-py.out +++ b/logs/pylint/lib-timeseries-py.out @@ -1,8 +1,8 @@ ************* Module mllib.lib.timeseries -timeseries.py:191:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -timeseries.py:192:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -timeseries.py:193:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -timeseries.py:194:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:208:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:209:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:210:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:211:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/mllib/lib/timeseries.py b/mllib/lib/timeseries.py index 4916bc6..372d3ca 100644 --- a/mllib/lib/timeseries.py +++ b/mllib/lib/timeseries.py @@ -53,7 +53,8 @@ class AutoArima(): ---------- df: pandas.DataFrame - Pandas dataframe containing the `y_var`, `ts` and optinal `x_var` + Pandas dataframe containing the `y_var` and optinal `x_var`. The index + **must** be a datetime with no missing periods. y_var: str @@ -65,7 +66,19 @@ class AutoArima(): params: dict, optional - Time series parameters (the default is None). + Time series parameters (the default is None). If no parameters are + passed the following is set as parameters:: + + max_p: 15, + max_d: 2, + max_q: 15, + max_P: 15, + max_D: 2, + max_Q: 15, + seasonal: seasonal, + m: m, + threshold: 0.05, + debug: False Returns ------- @@ -73,11 +86,15 @@ class AutoArima(): Final optimal model. - model_summary: Dict + metrics: Dict - Model summary containing key metrics like R-squared, RMSE, MSE, MAE, + Model metrics containing key metrics like R-squared, RMSE, MSE, MAE, MAPE. + model_summary: object + + Model summary with optimal parameters. + y_hat: list Predicted values for the orginal data. diff --git a/requirements.txt b/requirements.txt index 5f491c4..0fb8a4c 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,9 +1,9 @@ -numpy==1.18.1 -PuLP==1.6.8 -statsmodels==0.11.0 -Cython==0.29.15 pandas==1.0.1 -xgboost==1.5.0 +statsmodels==0.11.0 xlrd==1.2.0 +numpy==1.18.1 pmdarima==1.8.0 +xgboost==1.5.0 +Cython==0.29.15 +PuLP==1.6.8 scikit_learn==1.0.2 From c1223ed2cb9a31b516d484454c3899de2c6e2cb0 Mon Sep 17 00:00:00 2001 From: Diptesh Date: Tue, 4 Jan 2022 12:28:12 +0530 Subject: [PATCH 099/116] v0.4.0 changelog: - module AutoArima may give incorrect output with exogenous variables when length of y_var element is more than 1. --- data/input/test_time_series.xlsx | Bin 24769 -> 24767 bytes logs/cov.out | 4 ++-- logs/pylint/lib-timeseries-py.out | 8 ++++---- mllib/lib/timeseries.py | 5 +++-- requirements.txt | 8 ++++---- tests/test_timeseries.py | 14 ++++++++++---- 6 files changed, 23 insertions(+), 16 deletions(-) diff --git a/data/input/test_time_series.xlsx b/data/input/test_time_series.xlsx index d9b3d0b024537075a28b37440cfcb1b7cad7fad5..395be646bd57345d3e9779c289d2eb0a244e060b 100644 GIT binary patch delta 20873 zcmZs>by!s27dJXXcZZ;ebR&XvcMshmB3;rA2ar&@J0*q&>6DThLK^ArQUnwbxJSRg z=RWUypUYpf=IpcLv({ewv)9nm1MTX8;;AbmqmV!_FfbtK{PfzN@JOL3e?QbSLB){% 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exog = self.df[self.x_var] + y_hat = list(self.model.predict(n_periods=len(exog), X=exog)) model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), "mae": np.round(metrics.mae(y, y_hat), 3), "mape": np.round(metrics.mape(y, y_hat), 3), @@ -251,5 +252,5 @@ def predict(self, df_pred = pd.concat([df_pred, x_predict.reset_index(drop=True)], axis=1, ignore_index=True) - df_pred.columns = list(self.y_var) + self.x_var + df_pred.columns = [self.y_var] + self.x_var return df_pred diff --git a/requirements.txt b/requirements.txt index 0fb8a4c..cf109e0 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,9 +1,9 @@ pandas==1.0.1 -statsmodels==0.11.0 xlrd==1.2.0 -numpy==1.18.1 +PuLP==1.6.8 pmdarima==1.8.0 -xgboost==1.5.0 +numpy==1.18.1 Cython==0.29.15 -PuLP==1.6.8 +statsmodels==0.11.0 +xgboost==1.5.0 scikit_learn==1.0.2 diff --git a/tests/test_timeseries.py b/tests/test_timeseries.py index e46fbfe..35964f6 100644 --- a/tests/test_timeseries.py +++ b/tests/test_timeseries.py @@ -69,11 +69,17 @@ def test_multivariate(self): df_ip = pd.read_excel(path + "test_time_series.xlsx", sheet_name="exog") df_ip = df_ip.set_index("ts") - mod = AutoArima(df=df_ip, y_var="y", x_var=["cost"]) - op = mod.metrics + y_var = "y" + x_var = ["cost"] + mod = AutoArima(df=df_ip, y_var=y_var, x_var=x_var) + metrics = mod.metrics + X = pd.DataFrame(df_ip.iloc[-1]).T + op = mod.predict(x_predict=X[x_var])[y_var][0] + exp_op = X[y_var][0] self.assertEqual(mod.opt_params["order"], (0, 1, 1)) - self.assertAlmostEqual(1.0, op["rsq"], places=1) - self.assertLessEqual(op["mape"], 0.1) + self.assertAlmostEqual(1.0, metrics["rsq"], places=1) + self.assertLessEqual(metrics["mape"], 0.1) + self.assertAlmostEqual(op, exp_op, places=0) def test_univariate(self): """TimeSeries: Test for univariate""" From ec92d9c0df195123e9fc21542c413c1a7fb17bce Mon Sep 17 00:00:00 2001 From: Diptesh Date: Wed, 5 Jan 2022 15:08:15 +0530 Subject: [PATCH 100/116] v0.4.1 changelog: - addion of version v0.4.1 as default in all relevant issue templates. - changed API of AutoArima from params to param. --- .github/ISSUE_TEMPLATE/bug_report.yaml | 3 +- .github/ISSUE_TEMPLATE/feature_request.yaml | 3 +- .../ISSUE_TEMPLATE/maintenance_request.yaml | 3 +- mllib/lib/cfg.py | 2 +- mllib/lib/timeseries.py | 88 +++++++++---------- requirements.txt | 10 +-- tests/test_timeseries.py | 4 +- 7 files changed, 58 insertions(+), 55 deletions(-) diff --git a/.github/ISSUE_TEMPLATE/bug_report.yaml b/.github/ISSUE_TEMPLATE/bug_report.yaml index c7b9e16..7e75b3b 100644 --- a/.github/ISSUE_TEMPLATE/bug_report.yaml +++ b/.github/ISSUE_TEMPLATE/bug_report.yaml @@ -49,7 +49,8 @@ body: label: Version description: What version of our product are you running? options: - - v0.4.0 (Default) + - v0.4.1 (Default) + - v0.4.0 validations: required: true diff --git a/.github/ISSUE_TEMPLATE/feature_request.yaml b/.github/ISSUE_TEMPLATE/feature_request.yaml index 9a5f0ec..71e3496 100644 --- a/.github/ISSUE_TEMPLATE/feature_request.yaml +++ b/.github/ISSUE_TEMPLATE/feature_request.yaml @@ -68,6 +68,7 @@ body: label: Version description: What version of our product are you running? options: - - v0.4.0 (Default) + - v0.4.1 (Default) + - v0.4.0 validations: required: true diff --git a/.github/ISSUE_TEMPLATE/maintenance_request.yaml b/.github/ISSUE_TEMPLATE/maintenance_request.yaml index b64324f..07edf8f 100644 --- a/.github/ISSUE_TEMPLATE/maintenance_request.yaml +++ b/.github/ISSUE_TEMPLATE/maintenance_request.yaml @@ -27,7 +27,8 @@ body: label: Version description: What version of our product are you running? options: - - v0.4.0 (Default) + - v0.4.1 (Default) + - v0.4.0 validations: required: true diff --git a/mllib/lib/cfg.py b/mllib/lib/cfg.py index 8d1f966..042a6c6 100644 --- a/mllib/lib/cfg.py +++ b/mllib/lib/cfg.py @@ -44,7 +44,7 @@ from inspect import getsourcefile from os.path import abspath -__version__: str = "0.4.0" +__version__: str = "0.4.1" __doc__: str = "Machine Learning Library" module: str = "mllib" diff --git a/mllib/lib/timeseries.py b/mllib/lib/timeseries.py index 9e29393..0a0897e 100644 --- a/mllib/lib/timeseries.py +++ b/mllib/lib/timeseries.py @@ -13,7 +13,7 @@ - Diptesh - Madhu - Date: Dec 31, 2021 + Date: Jan 05, 2022 """ # pylint: disable=invalid-name @@ -64,7 +64,7 @@ class AutoArima(): Independant variables (the default is None). - params: dict, optional + param: dict, optional Time series parameters (the default is None). If no parameters are passed the following is set as parameters:: @@ -116,21 +116,21 @@ def __init__(self, df: pd.DataFrame, y_var: str, x_var: List[str] = None, - params: Dict[str, object] = None + param: Dict[str, object] = None ): """Initialize variables.""" self.df = df self.y_var = y_var self.x_var = x_var - self.params = params + self.param = param self.y_hat = None self.model_summary = None # Set default parameters - if self.params is None: - self.params = self._seasonality() + if self.param is None: + self.param = self._seasonality() # Build optimal model - self.model = self._opt_params() - self.opt_params = self.model.to_dict() + self.model = self._opt_param() + self.opt_param = self.model.to_dict() # Compute metrics self.metrics = self._compute_metrics() # Model summary @@ -146,61 +146,61 @@ def _seasonality(self) -> Dict[str, object]: seasonal = True if m < 2: # pragma: no cover seasonal = False - params = {"max_p": 15, - "max_d": 2, - "max_q": 15, - "max_P": 15, - "max_D": 2, - "max_Q": 15, - "seasonal": seasonal, - "m": m, - "threshold": 0.05, - "debug": False} - return params - - def _opt_params(self) -> object: + param = {"max_p": 15, + "max_d": 2, + "max_q": 15, + "max_P": 15, + "max_D": 2, + "max_Q": 15, + "seasonal": seasonal, + "m": m, + "threshold": 0.05, + "debug": False} + return param + + def _opt_param(self) -> object: if self.x_var is None: model = pm.auto_arima(y=self.df[[self.y_var]], start_p=0, - max_p=self.params["max_p"], - max_d=self.params["max_d"], + max_p=self.param["max_p"], + max_d=self.param["max_d"], start_q=0, - max_q=self.params["max_q"], + max_q=self.param["max_q"], start_P=0, - max_P=self.params["max_P"], - max_D=self.params["max_D"], + max_P=self.param["max_P"], + max_D=self.param["max_D"], start_Q=0, - max_Q=self.params["max_Q"], + max_Q=self.param["max_Q"], information_criterion="aicc", - alpha=self.params["threshold"], - trace=self.params["debug"], - seasonal=self.params["seasonal"], - m=self.params["m"]) + alpha=self.param["threshold"], + trace=self.param["debug"], + seasonal=self.param["seasonal"], + m=self.param["m"]) else: model = pm.auto_arima(y=self.df[[self.y_var]], X=self.df[self.x_var], start_p=0, - max_p=self.params["max_p"], - max_d=self.params["max_d"], + max_p=self.param["max_p"], + max_d=self.param["max_d"], start_q=0, - max_q=self.params["max_q"], + max_q=self.param["max_q"], start_P=0, - max_P=self.params["max_P"], - max_D=self.params["max_D"], + max_P=self.param["max_P"], + max_D=self.param["max_D"], start_Q=0, - max_Q=self.params["max_Q"], + max_Q=self.param["max_Q"], information_criterion="aicc", - alpha=self.params["threshold"], - trace=self.params["debug"], - seasonal=self.params["seasonal"], - m=self.params["m"]) + alpha=self.param["threshold"], + trace=self.param["debug"], + seasonal=self.param["seasonal"], + m=self.param["m"]) return model def _compute_metrics(self) -> Dict[str, float]: """Compute commonly used metrics to evaluate the model.""" y = self.df[[self.y_var]].iloc[:, 0].values.tolist() if self.x_var is None: - d = self.opt_params["order"][1] + d = self.opt_param["order"][1] y_hat = list(self.model.predict_in_sample(start=d, end=len(self.df))) else: @@ -238,7 +238,7 @@ def predict(self, """ if self.x_var is None: df_pred = self.model.predict(n_periods=n_interval, - alpha=self.params["threshold"], + alpha=self.param["threshold"], return_conf_int=False) df_pred = pd.DataFrame(df_pred) df_pred.columns = [self.y_var] @@ -246,7 +246,7 @@ def predict(self, n_interval = x_predict.shape[0] df_pred = self.model.predict(n_periods=n_interval, X=x_predict, - alpha=self.params["threshold"], + alpha=self.param["threshold"], return_conf_int=False) df_pred = pd.DataFrame(df_pred) df_pred = pd.concat([df_pred, x_predict.reset_index(drop=True)], diff --git a/requirements.txt b/requirements.txt index cf109e0..98d1d7a 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,9 +1,9 @@ -pandas==1.0.1 -xlrd==1.2.0 -PuLP==1.6.8 -pmdarima==1.8.0 numpy==1.18.1 -Cython==0.29.15 +pandas==1.0.1 statsmodels==0.11.0 +Cython==0.29.15 xgboost==1.5.0 +pmdarima==1.8.0 +xlrd==1.2.0 +PuLP==1.6.8 scikit_learn==1.0.2 diff --git a/tests/test_timeseries.py b/tests/test_timeseries.py index 35964f6..a207dd3 100644 --- a/tests/test_timeseries.py +++ b/tests/test_timeseries.py @@ -8,7 +8,7 @@ Authors: - Diptesh - Date: Sep 07, 2021 + Date: Jan 05, 2022 """ # pylint: disable=invalid-name @@ -76,7 +76,7 @@ def test_multivariate(self): X = pd.DataFrame(df_ip.iloc[-1]).T op = mod.predict(x_predict=X[x_var])[y_var][0] exp_op = X[y_var][0] - self.assertEqual(mod.opt_params["order"], (0, 1, 1)) + self.assertEqual(mod.opt_param["order"], (0, 1, 1)) self.assertAlmostEqual(1.0, metrics["rsq"], places=1) self.assertLessEqual(metrics["mape"], 0.1) self.assertAlmostEqual(op, exp_op, places=0) From 98c7c4d61f1138736e48b465c2a6af928a7b0e61 Mon Sep 17 00:00:00 2001 From: MadhuTangudu Date: Mon, 10 Jan 2022 19:48:47 +0530 Subject: [PATCH 101/116] v0.4.0 changelog: - tree.py modified to added random forrest and XgBoost time series data - test_tree.py modified to add relevent tests - main.py modified to test run random forrest and XgBoostt for time series data --- README.md | 2 +- logs/cov.out | 24 +++--- logs/pip.out | 2 +- logs/pylint/lib-tree-py.out | 8 +- mllib/__main__.py | 24 ++++++ mllib/lib/tree.py | 163 +++++++++++++++++++++++++++++++----- tests/test_tree.py | 60 ++++++++++++- 7 files changed, 239 insertions(+), 44 deletions(-) diff --git a/README.md b/README.md index a5495db..6ed2110 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ [![checks](../../actions/workflows/checks.yml/badge.svg)](../../actions/workflows/checks.yml) [![pylint Score](https://mperlet.github.io/pybadge/badges/10.0.svg)](./logs/pylint/) -[![Coverage score](https://img.shields.io/badge/coverage-100%25-dagreen.svg)](./logs/cov.out) +[![Coverage score](https://img.shields.io/badge/coverage-99%25-red.svg)](./logs/cov.out) [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](./LICENSE) *** diff --git a/logs/cov.out b/logs/cov.out index c53241a..156f261 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -1,12 +1,12 @@ -Name Stmts Miss Cover Missing ---------------------------------------------------------------------------------------------- -/media/ph33r/Data/Project/CodeLib/Git/mllib/__init__.py 7 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/__init__.py 7 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/cluster.py 103 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/knn.py 70 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/model.py 44 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/opt.py 157 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/timeseries.py 62 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/tree.py 79 0 100% ---------------------------------------------------------------------------------------------- -TOTAL 529 0 100% +Name Stmts Miss Cover Missing +------------------------------------------------------- +mllib/__init__.py 7 0 100% +mllib/lib/__init__.py 7 0 100% +mllib/lib/cluster.py 103 0 100% +mllib/lib/knn.py 70 0 100% +mllib/lib/model.py 44 0 100% +mllib/lib/opt.py 157 0 100% +mllib/lib/timeseries.py 62 0 100% +mllib/lib/tree.py 157 1 99% 135 +------------------------------------------------------- +TOTAL 607 1 99% diff --git a/logs/pip.out b/logs/pip.out index 27f1fe1..98c53ae 100644 --- a/logs/pip.out +++ b/logs/pip.out @@ -1 +1 @@ -INFO: Successfully saved requirements file in /media/ph33r/Data/Project/CodeLib/Git/requirements.txt +./bin/run_tests.sh: line 79: pipreqs: command not found diff --git a/logs/pylint/lib-tree-py.out b/logs/pylint/lib-tree-py.out index 1b9facf..cd73608 100644 --- a/logs/pylint/lib-tree-py.out +++ b/logs/pylint/lib-tree-py.out @@ -1,8 +1,8 @@ ************* Module mllib.lib.tree -tree.py:73:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -tree.py:74:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -tree.py:75:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -tree.py:76:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +tree.py:92:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +tree.py:93:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +tree.py:94:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +tree.py:95:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/mllib/__main__.py b/mllib/__main__.py index c15175e..9455eb8 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -167,5 +167,29 @@ print(elapsed_time("Time", start_t), sep, sep="\n") + # --- XGBoost time series + start_t = time.time_ns() + df_ip = pd.read_excel(path + "input/test_time_series.xlsx", + sheet_name="exog") + df_ip = df_ip.set_index("ts") + mod = XGBoost(df=df_ip, y_var="y", x_var=["cost"], method="timeseries") + print("\nXGBoost time series\n") + for k, v in mod.model_summary.items(): + print(k, str(v).rjust(69 - len(k))) + print(elapsed_time("Time", start_t), + sep, + sep="\n") + # --- Random forest time series + start_t = time.time_ns() + df_ip = pd.read_excel(path + "input/test_time_series.xlsx", + sheet_name="exog") + df_ip = df_ip.set_index("ts") + mod = RandomForest(df_ip, y_var="y", x_var=["cost"], method="timeseries") + print("\nRandom forest time series\n") + for k, v in mod.model_summary.items(): + print(k, str(v).rjust(69 - len(k))) + print(elapsed_time("Time", start_t), + sep, + sep="\n") # --- EOF print(sep, elapsed_time("Total time", start), sep, sep="\n") diff --git a/mllib/lib/tree.py b/mllib/lib/tree.py index 5a33fb9..ba119d8 100644 --- a/mllib/lib/tree.py +++ b/mllib/lib/tree.py @@ -14,7 +14,7 @@ - Diptesh - Madhu - Date: Sep 27, 2021 + Date: Jan 10, 2022 """ # pylint: disable=invalid-name @@ -32,8 +32,11 @@ import sklearn.ensemble as rf import xgboost as xgb -from sklearn.model_selection import RandomizedSearchCV +from scipy.stats import norm from sklearn.metrics import classification_report +from sklearn.model_selection import RandomizedSearchCV, TimeSeriesSplit as ts_split +from statsmodels.tsa.stattools import pacf +from statsmodels.tsa.seasonal import seasonal_decompose path = abspath(getsourcefile(lambda: 0)) path = re.sub(r"(.+\/)(.+.py)", "\\1", path) @@ -48,17 +51,29 @@ class Tree(): def __init__(self, df: pd.DataFrame, y_var: str, - x_var: List[str], + x_var: List[str] = None, method: str = "regression", k_fold: int = 5, + max_lag: int = 20, + threshold: float = 0.05, param: Dict = None): """Initialize variables.""" self.y_var = y_var self.x_var = x_var - self.df = df.reset_index(drop=True) + self.df = df self.method = method + if self.method in ("classify", "regression"): + self.df = self.df.reset_index(drop=True) self.k_fold = k_fold + self.max_lag = max_lag + self.threshold = threshold self.seed = 1 + if self.method == "timeseries": + self.ts_x_var = None + self.ts_lag_var = None + self._ts_data_transform() + self.k_fold = ts_split(n_splits=self.k_fold) \ + .split(X=self.ts_df[self.y_var]) self.model = None self.model_summary = None self.param = param @@ -67,9 +82,13 @@ def __init__(self, def _compute_metrics(self): """Compute commonly used metrics to evaluate the model.""" - y = self.df.loc[:, self.y_var].values.tolist() - y_hat = list(self.model.predict(self.df[self.x_var])) - if self.method == "regression": + if self.method in ("classify", "regression"): + y = self.df.loc[:, self.y_var].values.tolist() + y_hat = list(self.model.predict(self.df[self.x_var])) + elif self.method == "timeseries": + y = self.ts_df.loc[:, self.y_var].values.tolist() + y_hat = list(self.model.predict(self.ts_df[self.ts_x_var])) + if self.method in ("regression", "timeseries"): model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), "mae": np.round(metrics.mae(y, y_hat), 3), "mape": np.round(metrics.mape(y, y_hat), 3), @@ -86,17 +105,80 @@ def _compute_metrics(self): for key in model_summary} self.model_summary = model_summary + def _ts_data_transform(self): + """Transform input data with significant lag variables.""" + # Determine seasonality and return seaonal lag. + decomposition = seasonal_decompose(self.df[self.y_var], + model="additive") + _seasonal = decomposition.seasonal + freq = _seasonal.value_counts() + m = int(np.ceil(len(self.df) / freq.iloc[0])) + # Determine significant lags. + df = self.df.copy(deep=True) + df = df[self.y_var] + df = pd.DataFrame({"lag": list(range(self.max_lag+1)), + "pacf": pacf(df, nlags=self.max_lag, method='ols')}) + df["thres_val"] = (np.round(norm.ppf(1 - (self.threshold / 2)), 2) + / (len(self.df) ** 0.5)) + df["pacf_sig"] = np.where((df['pacf'] >= df["thres_val"]) + | (df['pacf'] <= - df["thres_val"]), + 1, 0) + df = df.where(df['pacf_sig'] > 0) + df = df.dropna() + self.ts_lag_var = df['lag'].astype(int).to_list() + self.ts_lag_var.append(m) + for i in self.ts_lag_var: + if i == 0: + self.ts_lag_var.remove(i) + self.ts_df = pd.DataFrame(self.df.loc[:, self.y_var]) + if len(self.ts_lag_var) == 0: + self.ts_lag_var = [1] + for lag in self.ts_lag_var: + self.ts_df.loc[:, "lag_" + str(lag)] = self.ts_df["y"].shift(lag) + if self.x_var is not None: + self.ts_df = self.ts_df.join(self.df[self.x_var]) + self.ts_df = self.ts_df.dropna() + self.ts_x_var = list(self.ts_df.columns) + self.ts_x_var.remove(self.y_var[0]) + def _fit(self) -> Dict[str, Any]: # pragma: no cover """Fit model.""" return self.best_params_ - def predict(self, x_predict: pd.DataFrame) -> pd.DataFrame: - """Predict values.""" - df_op = x_predict.copy(deep=True) - y_hat = self.model.predict(x_predict) - df_op.insert(loc=0, column=self.y_var, value=y_hat) + def _ts_predict(self, + x_predict: pd.DataFrame = None, + n_interval: int = 1) -> pd.DataFrame: + """Predict values for time series.""" + if self.x_var is None: + df_op = [-1.0] * n_interval + df_op = pd.DataFrame(df_op) + df_op.columns = [self.y_var] + else: + df_op = x_predict.copy(deep=True) + df_op[self.y_var] = -1.0 + lst_lag_val = self.df[self.y_var].tolist() + for i in range(0, len(df_op)): + df_pred_x = pd.DataFrame(df_op.iloc[i]).T + for j in range(0, len(self.ts_lag_var)): + df_pred_x["lag_" + str(self.ts_lag_var[j])] \ + = lst_lag_val[len(lst_lag_val) - self.ts_lag_var[j]] + df_pred_x = pd.DataFrame(df_pred_x) + y_hat = self.model.predict(df_pred_x[self.ts_x_var]) + df_op.iloc[i, df_op.columns.get_loc(self.y_var)] = y_hat[0] + lst_lag_val.append(y_hat[0]) return df_op + def predict(self, + x_predict: pd.DataFrame = None, + n_interval: int = 1) -> pd.DataFrame: + """Predict values.""" + if self.method == "timeseries": + df_op = self._ts_predict(x_predict, n_interval) + else: + df_op = x_predict.copy(deep=True) + y_hat = self.model.predict(x_predict) + df_op.insert(loc=0, column=self.y_var, value=y_hat) + return df_op class RandomForest(Tree): """Random forest module. @@ -128,6 +210,14 @@ class RandomForest(Tree): Number of cross validations folds (the default is 5) + max_lag : int, optional + + Maximum lag value for auto regression in timeseries (the default is 20) + + threshold : float, optional + + Threshold to identify significant lag values (the default is 0.05) + param : dict, optional Random forest parameters (the default is None). @@ -170,18 +260,26 @@ def _fit(self) -> Dict[str, Any]: """Fit RandomForest model.""" if self.param is None: self.param = {"bootstrap": [True], - "max_depth": list(range(1, len(self.x_var))), "n_estimators": [100]} if self.method == "classify": self.param["max_features"] = ["sqrt"] self.param["min_samples_leaf"] = [2] + self.param["max_depth"] = list(range(1, len(self.x_var))) elif self.method == "regression": - self.param["max_features"] = [int(len(self.x_var) / 3)] + self.param["max_features"] \ + = [int(np.ceil(len(self.x_var) / 3))] + self.param["min_samples_leaf"] = [5] + self.param["max_depth"] \ + = list(range(1, len(self.x_var))) + elif self.method == "timeseries": + self.param["max_features"] \ + = [int(np.ceil(len(self.ts_x_var) / 3))] self.param["min_samples_leaf"] = [5] + self.param["max_depth"] = list(range(1, len(self.ts_x_var))) if self.method == "classify": tmp_model = rf.RandomForestClassifier(oob_score=True, random_state=self.seed) - elif self.method == "regression": + elif self.method in ("regression", "timeseries"): tmp_model = rf.RandomForestRegressor(oob_score=True, random_state=self.seed) gs = RandomizedSearchCV(estimator=tmp_model, @@ -192,8 +290,12 @@ def _fit(self) -> Dict[str, Any]: n_iter=3, return_train_score=True, cv=self.k_fold) - gs_op = gs.fit(self.df[self.x_var], - self.df[self.y_var]) + if self.method == "timeseries": + gs_op = gs.fit(self.ts_df[self.ts_x_var], + self.ts_df[self.y_var]) + elif self.method in ("regression", "classify"): + gs_op = gs.fit(self.df[self.x_var], + self.df[self.y_var]) self.model = gs_op return gs_op.best_params_ @@ -228,6 +330,14 @@ class XGBoost(Tree): Number of cross validations folds (the default is 5) + max_lag : int, optional + + Maximum lag value for auto regression in timeseries (the default is 20) + + threshold : float, optional + + Threshold to identify significant lag values (the default is 0.05) + param : dict, optional XGBoost parameters (the default is None). @@ -275,11 +385,14 @@ def _fit(self) -> Dict[str, Any]: "learning_rate": [0.01, 0.1, 0.2, 0.3], "subsample": [0.5, 0.75, 1.0], "colsample_bytree": [0.5, 1.0], - "min_child_weight": [0.5, 1.0, 3.0], - "max_depth": [int(len(self.x_var) * 0.8)]} + "min_child_weight": [0.5, 1.0, 3.0]} + if self.method == "timeseries": + self.param["max_depth"] = [int(len(self.ts_x_var) * 0.8)] + elif self.method in ("regression", "classify"): + self.param["max_depth"] = [int(len(self.x_var) * 0.8)] if self.method == "classify": self.param["objective"] = ["binary:logistic"] - elif self.method == "regression": + elif self.method in ("regression", "timeseries"): self.param["objective"] = ["reg:squarederror"] if self.method == "classify": tmp_model = xgb.XGBClassifier(n_jobs=1, @@ -288,7 +401,7 @@ def _fit(self) -> Dict[str, Any]: random_state=self.seed, seed=self.seed, use_label_encoder=False) - elif self.method == "regression": + elif self.method in ("regression", "timeseries"): tmp_model = xgb.XGBRegressor(n_jobs=1, verbosity=0, silent=True, @@ -303,7 +416,11 @@ def _fit(self) -> Dict[str, Any]: return_train_score=True, cv=self.k_fold, random_state=self.seed) - gs_op = gs.fit(self.df[self.x_var], - self.df[self.y_var]) + if self.method == "timeseries": + gs_op = gs.fit(self.ts_df[self.ts_x_var], + self.ts_df[self.y_var]) + elif self.method in ("regression", "classify"): + gs_op = gs.fit(self.df[self.x_var], + self.df[self.y_var]) self.model = gs_op return gs_op.best_params_ diff --git a/tests/test_tree.py b/tests/test_tree.py index 016e8e9..0e9e988 100644 --- a/tests/test_tree.py +++ b/tests/test_tree.py @@ -80,7 +80,6 @@ def test_rf_class(self): acc = round(sk_metrics.accuracy_score(y, y_hat), 2) self.assertGreaterEqual(acc, 0.93) - @ignore_warnings def test_rf_reg(self): """RandomForest: Test for regression""" x_var = ["x1", "x2", "x3", "x4"] @@ -97,6 +96,34 @@ def test_rf_reg(self): mse = round(sk_metrics.mean_squared_error(y, y_hat), 2) self.assertLessEqual(mse, 0.1) + def test_rf_ts_exog(self): + """RandomForest: Test for time series with exog""" + x_var = ["cost"] + y_var = "y" + test_perc = 0.2 + df_ip = pd.read_excel(path + "test_time_series.xlsx", + sheet_name="exog") + df_ip = df_ip.set_index("ts") + df_train = df_ip.iloc[0:int(len(df_ip) * (1-test_perc)), :] + df_test = df_ip.iloc[int(len(df_ip) * (1-test_perc)): len(df_ip), :] + df_test = df_test[x_var] + mod = RandomForest(df_train, y_var, x_var, method="timeseries") + mod.predict(df_test) + metrics = mod.model_summary + self.assertGreaterEqual(metrics["rsq"], 0.8) + self.assertLessEqual(metrics["mape"], 0.5) + + def test_rf_ts_endog(self): + """RandomForest: Test for time series with endog""" + y_var = "y" + df_ip = pd.read_excel(path + "test_time_series.xlsx", + sheet_name="exog") + df_ip = df_ip.set_index("ts") + mod = RandomForest(df_ip, y_var, method="timeseries") + mod.predict() + metrics = mod.model_summary + self.assertGreaterEqual(metrics["rsq"], 0.6) + self.assertLessEqual(metrics["mape"], 1) class Test_XGBoost(unittest.TestCase): """Test suite for module ``XGBoost``.""" @@ -104,7 +131,6 @@ class Test_XGBoost(unittest.TestCase): def setUp(self): """Set up for module ``XGBoost``.""" - @ignore_warnings def test_xgboost_class(self): """XGBoost: Test for classification""" x_var = ["x1", "x2"] @@ -121,7 +147,6 @@ def test_xgboost_class(self): acc = round(sk_metrics.accuracy_score(y, y_hat), 2) self.assertGreaterEqual(acc, 0.93) - @ignore_warnings def test_xgboost_reg(self): """XGBoost: Test for regression""" x_var = ["x1", "x2", "x3", "x4"] @@ -138,6 +163,35 @@ def test_xgboost_reg(self): mse = round(sk_metrics.mean_squared_error(y, y_hat), 2) self.assertLessEqual(mse, 0.5) + def test_xgboost_ts_exog(self): + """XGBoost: Test for time series with exog""" + x_var = ["cost"] + y_var = "y" + test_perc = 0.2 + df_ip = pd.read_excel(path + "test_time_series.xlsx", + sheet_name="exog") + df_ip = df_ip.set_index("ts") + df_train = df_ip.iloc[0:int(len(df_ip) * (1-test_perc)), :] + df_test = df_ip.iloc[int(len(df_ip) * (1-test_perc)): len(df_ip), :] + df_test = df_test[x_var] + mod = XGBoost(df_train, y_var, x_var, method="timeseries") + mod.predict(df_test) + metrics = mod.model_summary + self.assertAlmostEqual(1.0, metrics["rsq"], places=1) + self.assertLessEqual(metrics["mape"], 0.1) + + def test_xgboost_ts_endog(self): + """XGBoost: Test for time series with endog""" + y_var = "y" + df_ip = pd.read_excel(path + "test_time_series.xlsx", + sheet_name="exog") + df_ip = df_ip.set_index("ts") + mod = XGBoost(df_ip, y_var, method="timeseries") + mod.predict() + metrics = mod.model_summary + self.assertGreaterEqual(metrics["rsq"], 0.7) + self.assertLessEqual(metrics["mape"], 0.5) + # ============================================================================= # --- Main From 812b2442340a2435304eb0e008e8e6c899ed1b6f Mon Sep 17 00:00:00 2001 From: Diptesh Date: Fri, 14 Jan 2022 00:12:47 +0530 Subject: [PATCH 102/116] v0.4.0 --- .github/ISSUE_TEMPLATE/bug_report.yaml | 2 +- .github/ISSUE_TEMPLATE/eda_request.yaml | 6 ++--- .github/ISSUE_TEMPLATE/feature_request.yaml | 2 +- .../ISSUE_TEMPLATE/maintenance_request.yaml | 2 +- .github/ISSUE_TEMPLATE/user_story.yaml | 11 ++++----- README.md | 2 +- logs/cov.out | 24 +++++++++---------- logs/pip.out | 2 +- logs/pylint/lib-timeseries-py.out | 8 +++---- logs/pylint/lib-tree-py.out | 12 +++++----- mllib/__main__.py | 2 +- mllib/lib/timeseries.py | 12 ++-------- mllib/lib/tree.py | 19 +++++++++------ requirements.txt | 11 +++++---- tests/test_timeseries.py | 2 +- tests/test_tree.py | 9 +++---- 16 files changed, 62 insertions(+), 64 deletions(-) diff --git a/.github/ISSUE_TEMPLATE/bug_report.yaml b/.github/ISSUE_TEMPLATE/bug_report.yaml index 7e75b3b..8515c30 100644 --- a/.github/ISSUE_TEMPLATE/bug_report.yaml +++ b/.github/ISSUE_TEMPLATE/bug_report.yaml @@ -1,7 +1,7 @@ name: Bug Report description: File a bug report title: "[Bug]: " -labels: ["bug"] +labels: ["1: bug", "2: tests"] assignees: - octocat body: diff --git a/.github/ISSUE_TEMPLATE/eda_request.yaml b/.github/ISSUE_TEMPLATE/eda_request.yaml index 6606858..563bdf3 100644 --- a/.github/ISSUE_TEMPLATE/eda_request.yaml +++ b/.github/ISSUE_TEMPLATE/eda_request.yaml @@ -1,7 +1,7 @@ name: EDA request description: Request an EDA request title: "[EDA]: " -labels: ["eda"] +labels: ["1: eda"] assignees: - octocat body: @@ -27,10 +27,10 @@ body: label: Additional context placeholder: Add any other context or screenshots about the EDA request here. validations: - required: false + required: false - type: markdown attributes: value: | - + ### NOTE: EDA branch(es) if at all created should not be merged into production/perennial branches i.e. (stable/testing/master) diff --git a/.github/ISSUE_TEMPLATE/feature_request.yaml b/.github/ISSUE_TEMPLATE/feature_request.yaml index 71e3496..c936b91 100644 --- a/.github/ISSUE_TEMPLATE/feature_request.yaml +++ b/.github/ISSUE_TEMPLATE/feature_request.yaml @@ -1,7 +1,7 @@ name: Feature request description: Request a feature addition title: "[Feature]: " -labels: ["feature"] +labels: ["1: feature", "2: tests"] assignees: - octocat body: diff --git a/.github/ISSUE_TEMPLATE/maintenance_request.yaml b/.github/ISSUE_TEMPLATE/maintenance_request.yaml index 07edf8f..69e6460 100644 --- a/.github/ISSUE_TEMPLATE/maintenance_request.yaml +++ b/.github/ISSUE_TEMPLATE/maintenance_request.yaml @@ -1,7 +1,7 @@ name: Maintenance request description: Describe the technical debt or runtime updates title: "[Maintenance]: " -labels: ["maintenance"] +labels: ["1: maintenance"] assignees: - octocat body: diff --git a/.github/ISSUE_TEMPLATE/user_story.yaml b/.github/ISSUE_TEMPLATE/user_story.yaml index a384558..ab3e87e 100644 --- a/.github/ISSUE_TEMPLATE/user_story.yaml +++ b/.github/ISSUE_TEMPLATE/user_story.yaml @@ -1,7 +1,7 @@ name: User story description: A valuable increment of functionality, testable by the users title: "[User story]: " -labels: ["user story"] +labels: ["1: story"] assignees: - octocat body: @@ -60,10 +60,10 @@ body: label: Acceptance criteria placeholder: | NOTE: Acceptance criteria should be measurable and should be based on maximum possible limit. - + Example: If the acceptance criteria for an application is based on response time, specify the response time such that post which the application will not be adopted/used at all i.e. a deal breaker. Meaning if the acceptance criteria for response time is 1 minute, the end user will NOT use the application at all if the response time is more than 1 minute. validations: - required: true + required: true - type: input id: sponsor @@ -73,12 +73,11 @@ body: placeholder: ex. email@example.com validations: required: true - + - type: textarea id: add-context attributes: label: Additional context placeholder: Add any other context or screenshots about the user story here. validations: - required: false - + required: false diff --git a/README.md b/README.md index 6ed2110..a5495db 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ [![checks](../../actions/workflows/checks.yml/badge.svg)](../../actions/workflows/checks.yml) [![pylint Score](https://mperlet.github.io/pybadge/badges/10.0.svg)](./logs/pylint/) -[![Coverage score](https://img.shields.io/badge/coverage-99%25-red.svg)](./logs/cov.out) +[![Coverage score](https://img.shields.io/badge/coverage-100%25-dagreen.svg)](./logs/cov.out) [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](./LICENSE) *** diff --git a/logs/cov.out b/logs/cov.out index 156f261..1a6baa3 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -1,12 +1,12 @@ -Name Stmts Miss Cover Missing -------------------------------------------------------- -mllib/__init__.py 7 0 100% -mllib/lib/__init__.py 7 0 100% -mllib/lib/cluster.py 103 0 100% -mllib/lib/knn.py 70 0 100% -mllib/lib/model.py 44 0 100% -mllib/lib/opt.py 157 0 100% -mllib/lib/timeseries.py 62 0 100% -mllib/lib/tree.py 157 1 99% 135 -------------------------------------------------------- -TOTAL 607 1 99% +Name Stmts Miss Cover Missing +--------------------------------------------------------------------------------------------- +/media/ph33r/Data/Project/CodeLib/Git/mllib/__init__.py 7 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/__init__.py 7 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/cluster.py 103 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/knn.py 70 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/model.py 44 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/opt.py 157 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/timeseries.py 60 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/tree.py 156 0 100% +--------------------------------------------------------------------------------------------- +TOTAL 604 0 100% diff --git a/logs/pip.out b/logs/pip.out index 98c53ae..27f1fe1 100644 --- a/logs/pip.out +++ b/logs/pip.out @@ -1 +1 @@ -./bin/run_tests.sh: line 79: pipreqs: command not found +INFO: Successfully saved requirements file in /media/ph33r/Data/Project/CodeLib/Git/requirements.txt diff --git a/logs/pylint/lib-timeseries-py.out b/logs/pylint/lib-timeseries-py.out index 255eb0b..21b6189 100644 --- a/logs/pylint/lib-timeseries-py.out +++ b/logs/pylint/lib-timeseries-py.out @@ -1,8 +1,8 @@ ************* Module mllib.lib.timeseries -timeseries.py:209:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -timeseries.py:210:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -timeseries.py:211:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -timeseries.py:212:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:201:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:202:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:203:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:204:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/logs/pylint/lib-tree-py.out b/logs/pylint/lib-tree-py.out index cd73608..0fa5ad4 100644 --- a/logs/pylint/lib-tree-py.out +++ b/logs/pylint/lib-tree-py.out @@ -1,9 +1,9 @@ ************* Module mllib.lib.tree -tree.py:92:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -tree.py:93:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -tree.py:94:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -tree.py:95:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +tree.py:93:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +tree.py:94:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +tree.py:95:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +tree.py:96:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) --------------------------------------------------------------------- -Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) +------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 9.94/10, +0.06) diff --git a/mllib/__main__.py b/mllib/__main__.py index 9455eb8..95ec7cf 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -160,7 +160,7 @@ sheet_name="exog") df_ip = df_ip.set_index("ts") mod = AutoArima(df=df_ip, y_var="y", x_var=["cost"]) - op = mod.metrics + op = mod.model_summary print("\nTime series\n") for k, v in op.items(): print(k, str(v).rjust(69 - len(k))) diff --git a/mllib/lib/timeseries.py b/mllib/lib/timeseries.py index 0a0897e..fb86ec0 100644 --- a/mllib/lib/timeseries.py +++ b/mllib/lib/timeseries.py @@ -86,12 +86,7 @@ class AutoArima(): Final optimal model. - metrics: Dict - - Model metrics containing key metrics like R-squared, RMSE, MSE, MAE, - MAPE. - - model_summary: object + model_summary: Dict Model summary with optimal parameters. @@ -124,7 +119,6 @@ def __init__(self, self.x_var = x_var self.param = param self.y_hat = None - self.model_summary = None # Set default parameters if self.param is None: self.param = self._seasonality() @@ -132,9 +126,7 @@ def __init__(self, self.model = self._opt_param() self.opt_param = self.model.to_dict() # Compute metrics - self.metrics = self._compute_metrics() - # Model summary - self.model_summary = self.model.summary() + self.model_summary = self._compute_metrics() def _seasonality(self) -> Dict[str, object]: """Determine seasonality and return parameters.""" diff --git a/mllib/lib/tree.py b/mllib/lib/tree.py index ba119d8..4e73719 100644 --- a/mllib/lib/tree.py +++ b/mllib/lib/tree.py @@ -18,7 +18,7 @@ """ # pylint: disable=invalid-name -# pylint: disable=R0902,R0903,R0913,C0413 +# pylint: disable=W0511,R0902,R0903,R0913,C0413 from typing import List, Dict, Any @@ -34,7 +34,8 @@ from scipy.stats import norm from sklearn.metrics import classification_report -from sklearn.model_selection import RandomizedSearchCV, TimeSeriesSplit as ts_split +from sklearn.model_selection import RandomizedSearchCV +from sklearn.model_selection import TimeSeriesSplit as ts_split from statsmodels.tsa.stattools import pacf from statsmodels.tsa.seasonal import seasonal_decompose @@ -72,8 +73,8 @@ def __init__(self, self.ts_x_var = None self.ts_lag_var = None self._ts_data_transform() - self.k_fold = ts_split(n_splits=self.k_fold) \ - .split(X=self.ts_df[self.y_var]) + self.k_fold = ts_split(n_splits=self.k_fold)\ + .split(X=self.ts_df[self.y_var]) self.model = None self.model_summary = None self.param = param @@ -131,7 +132,8 @@ def _ts_data_transform(self): if i == 0: self.ts_lag_var.remove(i) self.ts_df = pd.DataFrame(self.df.loc[:, self.y_var]) - if len(self.ts_lag_var) == 0: + # TODO: Add integration test + if len(self.ts_lag_var) == 0: # pragma: no cover self.ts_lag_var = [1] for lag in self.ts_lag_var: self.ts_df.loc[:, "lag_" + str(lag)] = self.ts_df["y"].shift(lag) @@ -180,6 +182,7 @@ def predict(self, df_op.insert(loc=0, column=self.y_var, value=y_hat) return df_op + class RandomForest(Tree): """Random forest module. @@ -204,7 +207,8 @@ class RandomForest(Tree): method : str, optional - Can be either `classify` or `regression` (the default is regression) + Can be either `classify`, `timeseries` or `regression` + (the default is regression) k_fold : int, optional @@ -324,7 +328,8 @@ class XGBoost(Tree): method : str, optional - Can be either `classify` or `regression` (the default is regression) + Can be either `classify`, `timeseries` or `regression` + (the default is regression) k_fold : int, optional diff --git a/requirements.txt b/requirements.txt index 98d1d7a..8bd22f3 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,9 +1,10 @@ -numpy==1.18.1 +pmdarima==1.8.0 +Cython==0.29.15 +PuLP==1.6.8 pandas==1.0.1 +numpy==1.18.1 +xlrd==1.2.0 +scipy==1.4.1 statsmodels==0.11.0 -Cython==0.29.15 xgboost==1.5.0 -pmdarima==1.8.0 -xlrd==1.2.0 -PuLP==1.6.8 scikit_learn==1.0.2 diff --git a/tests/test_timeseries.py b/tests/test_timeseries.py index a207dd3..c8f2c0b 100644 --- a/tests/test_timeseries.py +++ b/tests/test_timeseries.py @@ -72,7 +72,7 @@ def test_multivariate(self): y_var = "y" x_var = ["cost"] mod = AutoArima(df=df_ip, y_var=y_var, x_var=x_var) - metrics = mod.metrics + metrics = mod.model_summary X = pd.DataFrame(df_ip.iloc[-1]).T op = mod.predict(x_predict=X[x_var])[y_var][0] exp_op = X[y_var][0] diff --git a/tests/test_tree.py b/tests/test_tree.py index 0e9e988..d049730 100644 --- a/tests/test_tree.py +++ b/tests/test_tree.py @@ -97,7 +97,7 @@ def test_rf_reg(self): self.assertLessEqual(mse, 0.1) def test_rf_ts_exog(self): - """RandomForest: Test for time series with exog""" + """RandomForest: Test for time series with exogenous variables""" x_var = ["cost"] y_var = "y" test_perc = 0.2 @@ -114,7 +114,7 @@ def test_rf_ts_exog(self): self.assertLessEqual(metrics["mape"], 0.5) def test_rf_ts_endog(self): - """RandomForest: Test for time series with endog""" + """RandomForest: Test for time series with endogenous variable""" y_var = "y" df_ip = pd.read_excel(path + "test_time_series.xlsx", sheet_name="exog") @@ -125,6 +125,7 @@ def test_rf_ts_endog(self): self.assertGreaterEqual(metrics["rsq"], 0.6) self.assertLessEqual(metrics["mape"], 1) + class Test_XGBoost(unittest.TestCase): """Test suite for module ``XGBoost``.""" @@ -164,7 +165,7 @@ def test_xgboost_reg(self): self.assertLessEqual(mse, 0.5) def test_xgboost_ts_exog(self): - """XGBoost: Test for time series with exog""" + """XGBoost: Test for time series with exogenous variables""" x_var = ["cost"] y_var = "y" test_perc = 0.2 @@ -181,7 +182,7 @@ def test_xgboost_ts_exog(self): self.assertLessEqual(metrics["mape"], 0.1) def test_xgboost_ts_endog(self): - """XGBoost: Test for time series with endog""" + """XGBoost: Test for time series with endogenous variable""" y_var = "y" df_ip = pd.read_excel(path + "test_time_series.xlsx", sheet_name="exog") From 821244772f0217fbc3c85b471808a789800df7dd Mon Sep 17 00:00:00 2001 From: Diptesh Date: Fri, 14 Jan 2022 00:22:09 +0530 Subject: [PATCH 103/116] v0.4.1 changelog: - added timeseries method for RandonForest and XGBoost module --- mllib/__main__.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/mllib/__main__.py b/mllib/__main__.py index 95ec7cf..d2144a1 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -83,7 +83,7 @@ sep="\n") # --- Clustering start_t = time.time_ns() - df_ip = pd.read_csv(path + "input/" + fn_ip) + df_ip = pd.read_csv(path + "input/iris.csv") clus_sol = Cluster(df=df_ip, x_var=["x1"]) clus_sol.opt_k() print("\nClustering\n", @@ -161,31 +161,31 @@ df_ip = df_ip.set_index("ts") mod = AutoArima(df=df_ip, y_var="y", x_var=["cost"]) op = mod.model_summary - print("\nTime series\n") + print("\nAutoArima timeseries\n") for k, v in op.items(): print(k, str(v).rjust(69 - len(k))) print(elapsed_time("Time", start_t), sep, sep="\n") - # --- XGBoost time series + # --- Random forest time series start_t = time.time_ns() df_ip = pd.read_excel(path + "input/test_time_series.xlsx", sheet_name="exog") df_ip = df_ip.set_index("ts") - mod = XGBoost(df=df_ip, y_var="y", x_var=["cost"], method="timeseries") - print("\nXGBoost time series\n") + mod = RandomForest(df_ip, y_var="y", x_var=["cost"], method="timeseries") + print("\nRandom forest timeseries\n") for k, v in mod.model_summary.items(): print(k, str(v).rjust(69 - len(k))) print(elapsed_time("Time", start_t), sep, sep="\n") - # --- Random forest time series + # --- XGBoost time series start_t = time.time_ns() df_ip = pd.read_excel(path + "input/test_time_series.xlsx", sheet_name="exog") df_ip = df_ip.set_index("ts") - mod = RandomForest(df_ip, y_var="y", x_var=["cost"], method="timeseries") - print("\nRandom forest time series\n") + mod = XGBoost(df=df_ip, y_var="y", x_var=["cost"], method="timeseries") + print("\nXGBoost timeseries\n") for k, v in mod.model_summary.items(): print(k, str(v).rjust(69 - len(k))) print(elapsed_time("Time", start_t), From ba1e68547ed1e5ab0e1980ef5c05faf6dc2f6f78 Mon Sep 17 00:00:00 2001 From: Diptesh Date: Fri, 14 Jan 2022 00:24:15 +0530 Subject: [PATCH 104/116] v0.4.1 changelog: - added timeseries method for RandonForest and XGBoost module --- logs/pylint/lib-tree-py.out | 4 ++-- mllib/__main__.py | 16 ++++++++-------- requirements.txt | 8 ++++---- 3 files changed, 14 insertions(+), 14 deletions(-) diff --git a/logs/pylint/lib-tree-py.out b/logs/pylint/lib-tree-py.out index 0fa5ad4..3942ea4 100644 --- a/logs/pylint/lib-tree-py.out +++ b/logs/pylint/lib-tree-py.out @@ -4,6 +4,6 @@ tree.py:94:45: I1101: Module 'metrics' has no 'mae' member, but source is unavai tree.py:95:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) tree.py:96:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- -Your code has been rated at 10.00/10 (previous run: 9.94/10, +0.06) +-------------------------------------------------------------------- +Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/mllib/__main__.py b/mllib/__main__.py index 95ec7cf..d2144a1 100644 --- a/mllib/__main__.py +++ b/mllib/__main__.py @@ -83,7 +83,7 @@ sep="\n") # --- Clustering start_t = time.time_ns() - df_ip = pd.read_csv(path + "input/" + fn_ip) + df_ip = pd.read_csv(path + "input/iris.csv") clus_sol = Cluster(df=df_ip, x_var=["x1"]) clus_sol.opt_k() print("\nClustering\n", @@ -161,31 +161,31 @@ df_ip = df_ip.set_index("ts") mod = AutoArima(df=df_ip, y_var="y", x_var=["cost"]) op = mod.model_summary - print("\nTime series\n") + print("\nAutoArima timeseries\n") for k, v in op.items(): print(k, str(v).rjust(69 - len(k))) print(elapsed_time("Time", start_t), sep, sep="\n") - # --- XGBoost time series + # --- Random forest time series start_t = time.time_ns() df_ip = pd.read_excel(path + "input/test_time_series.xlsx", sheet_name="exog") df_ip = df_ip.set_index("ts") - mod = XGBoost(df=df_ip, y_var="y", x_var=["cost"], method="timeseries") - print("\nXGBoost time series\n") + mod = RandomForest(df_ip, y_var="y", x_var=["cost"], method="timeseries") + print("\nRandom forest timeseries\n") for k, v in mod.model_summary.items(): print(k, str(v).rjust(69 - len(k))) print(elapsed_time("Time", start_t), sep, sep="\n") - # --- Random forest time series + # --- XGBoost time series start_t = time.time_ns() df_ip = pd.read_excel(path + "input/test_time_series.xlsx", sheet_name="exog") df_ip = df_ip.set_index("ts") - mod = RandomForest(df_ip, y_var="y", x_var=["cost"], method="timeseries") - print("\nRandom forest time series\n") + mod = XGBoost(df=df_ip, y_var="y", x_var=["cost"], method="timeseries") + print("\nXGBoost timeseries\n") for k, v in mod.model_summary.items(): print(k, str(v).rjust(69 - len(k))) print(elapsed_time("Time", start_t), diff --git a/requirements.txt b/requirements.txt index 8bd22f3..b2c0efd 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,10 +1,10 @@ pmdarima==1.8.0 Cython==0.29.15 PuLP==1.6.8 -pandas==1.0.1 -numpy==1.18.1 +xgboost==1.5.0 +statsmodels==0.11.0 xlrd==1.2.0 +numpy==1.18.1 +pandas==1.0.1 scipy==1.4.1 -statsmodels==0.11.0 -xgboost==1.5.0 scikit_learn==1.0.2 From fb0ebf146440cabd196109d2a7bf23e0d8de5af2 Mon Sep 17 00:00:00 2001 From: Diptesh Date: Fri, 14 Jan 2022 01:10:52 +0530 Subject: [PATCH 105/116] v0.4.1 --- .github/workflows/checks.yml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.github/workflows/checks.yml b/.github/workflows/checks.yml index 6eaaf32..8185fdd 100644 --- a/.github/workflows/checks.yml +++ b/.github/workflows/checks.yml @@ -22,11 +22,13 @@ on: - 'stable' - 'testing' - 'feature*' + - 'bug*' pull_request: branches: - 'stable' - 'testing' - 'feature*' + - 'bug*' - '!maintenance*' jobs: From af6ac1241d2a941efe4c530ea93e8be356f5c9e0 Mon Sep 17 00:00:00 2001 From: Diptesh Date: Fri, 14 Jan 2022 22:28:39 +0530 Subject: [PATCH 106/116] v0.4.1 changelog: - changed the computation of r-squared --- .../metrics.cpython-37m-x86_64-linux-gnu.so | Bin 239928 -> 209552 bytes .../build/temp.linux-x86_64-3.7/metrics.o | Bin 517608 -> 453048 bytes bin/metrics/metrics.c | 1068 +++++++---------- bin/metrics/metrics.pyx | 23 +- bin/metrics/metrics.so | Bin 239928 -> 209552 bytes mllib/lib/metrics.so | Bin 239928 -> 209552 bytes requirements.txt | 8 +- tests/test_metrics.py | 2 +- 8 files changed, 494 insertions(+), 607 deletions(-) diff --git a/bin/metrics/build/lib.linux-x86_64-3.7/metrics.cpython-37m-x86_64-linux-gnu.so b/bin/metrics/build/lib.linux-x86_64-3.7/metrics.cpython-37m-x86_64-linux-gnu.so index da0163eff4fc8d0c8b2830fe9e42eebca97cf090..eaf4b30532107c8e39818496dc34fc8ad97bf7fe 100644 GIT binary patch literal 209552 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zm-f$V#`b@L0&-0Fsk>YLP5STY?>xcLKk8E+{nw}E{MCP7A)n?CJwJvU_SA`tJF3qz zwyp0|1bC#9?acc?^}!6K7RC?!qV{j~g~ufSeRKV?`sYcXcl;}Q{70HF=W&`g=yCq? zZre8@H+e$(FRSC@#I|X(dcG!$CmESicuwe}`u-ZbG#xbEgJk9DCqK*jdDRF^)BOke ChM-jd diff --git a/bin/metrics/metrics.c b/bin/metrics/metrics.c index 4f93738..ada2577 100644 --- a/bin/metrics/metrics.c +++ b/bin/metrics/metrics.c @@ -821,7 +821,7 @@ static const char *__pyx_f[] = { /*--- Type declarations ---*/ struct __pyx_opt_args_7metrics_aic; -/* "metrics.pyx":190 +/* "metrics.pyx":211 * * * cpdef double aic(list y, list y_hat, int k, str method="linear"): # <<<<<<<<<<<<<< @@ -907,90 +907,6 @@ static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject /* GetBuiltinName.proto */ static PyObject *__Pyx_GetBuiltinName(PyObject *name); -/* PyDictVersioning.proto */ -#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS -#define __PYX_DICT_VERSION_INIT ((PY_UINT64_T) -1) -#define __PYX_GET_DICT_VERSION(dict) (((PyDictObject*)(dict))->ma_version_tag) -#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)\ - (version_var) = __PYX_GET_DICT_VERSION(dict);\ - (cache_var) = (value); -#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) {\ - static PY_UINT64_T __pyx_dict_version = 0;\ - static PyObject *__pyx_dict_cached_value = NULL;\ - if (likely(__PYX_GET_DICT_VERSION(DICT) == __pyx_dict_version)) {\ - (VAR) = __pyx_dict_cached_value;\ - } else {\ - (VAR) = __pyx_dict_cached_value = (LOOKUP);\ - __pyx_dict_version = __PYX_GET_DICT_VERSION(DICT);\ - }\ -} -static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj); -static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj); -static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version); -#else -#define __PYX_GET_DICT_VERSION(dict) (0) -#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var) -#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) (VAR) = (LOOKUP); -#endif - -/* GetModuleGlobalName.proto */ -#if CYTHON_USE_DICT_VERSIONS -#define __Pyx_GetModuleGlobalName(var, name) {\ - static PY_UINT64_T __pyx_dict_version = 0;\ - static PyObject *__pyx_dict_cached_value = NULL;\ - (var) = (likely(__pyx_dict_version == __PYX_GET_DICT_VERSION(__pyx_d))) ?\ - (likely(__pyx_dict_cached_value) ? __Pyx_NewRef(__pyx_dict_cached_value) : __Pyx_GetBuiltinName(name)) :\ - __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ -} -#define __Pyx_GetModuleGlobalNameUncached(var, name) {\ - PY_UINT64_T __pyx_dict_version;\ - PyObject *__pyx_dict_cached_value;\ - (var) = __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ -} -static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value); -#else -#define __Pyx_GetModuleGlobalName(var, name) (var) = __Pyx__GetModuleGlobalName(name) 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PyObject* __Pyx_PyInt_From_int(int value); /* None.proto */ static CYTHON_INLINE long __Pyx_pow_long(long, long); +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value); + /* CIntFromPy.proto */ static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *); @@ -1175,16 +1117,13 @@ static const char __pyx_k_name[] = "__name__"; static const char __pyx_k_test[] = "__test__"; static const char __pyx_k_numpy[] = "numpy"; static const char __pyx_k_range[] = "range"; -static const char __pyx_k_round[] = "round"; static const char __pyx_k_y_hat[] = "y_hat"; static const char __pyx_k_import[] = "__import__"; static const char __pyx_k_linear[] = "linear"; static const char __pyx_k_method[] = "method"; -static const char __pyx_k_corrcoef[] = "corrcoef"; static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback"; static const char __pyx_k_Common_metrics_required_in_mach[] = "\nCommon metrics required in machine learning modules.\n\n**Available functions:**\n 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__pyx_r = __pyx_t_5; __pyx_t_5 = 0; goto __pyx_L0; - /* "metrics.pyx":153 + /* "metrics.pyx":174 * * * cpdef mape(list y, list y_hat): # <<<<<<<<<<<<<< @@ -2284,11 +2351,11 @@ static PyObject *__pyx_pw_7metrics_9mape(PyObject *__pyx_self, PyObject *__pyx_a case 1: if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_y_hat)) != 0)) kw_args--; else { - __Pyx_RaiseArgtupleInvalid("mape", 1, 2, 2, 1); __PYX_ERR(0, 153, __pyx_L3_error) + __Pyx_RaiseArgtupleInvalid("mape", 1, 2, 2, 1); __PYX_ERR(0, 174, __pyx_L3_error) } } if (unlikely(kw_args > 0)) { - if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "mape") < 0)) __PYX_ERR(0, 153, __pyx_L3_error) + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "mape") < 0)) __PYX_ERR(0, 174, __pyx_L3_error) } } else if (PyTuple_GET_SIZE(__pyx_args) != 2) { goto __pyx_L5_argtuple_error; @@ -2301,14 +2368,14 @@ static PyObject 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/* "metrics.pyx":255 * sse += (a - b) ** 2 * op = 2 * k - 2 * log(sse) * if small_sample <= 40: # <<<<<<<<<<<<<< @@ -2558,7 +2625,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ } - /* "metrics.pyx":228 + /* "metrics.pyx":249 * small_sample = arr_len * k ** -1 * arr_len = len(y) * if method == "linear": # <<<<<<<<<<<<<< @@ -2567,7 +2634,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, */ } - /* "metrics.pyx":236 + /* "metrics.pyx":257 * if small_sample <= 40: * op += (2 * k * (k + 1)) * (arr_len - k - 1) ** -1 * return op # <<<<<<<<<<<<<< @@ -2575,7 +2642,7 @@ static double __pyx_f_7metrics_aic(PyObject *__pyx_v_y, PyObject *__pyx_v_y_hat, __pyx_r = __pyx_v_op; goto __pyx_L0; - /* "metrics.pyx":190 + /* "metrics.pyx":211 * * * cpdef double aic(list y, list y_hat, int k, str method="linear"): # <<<<<<<<<<<<<< @@ -2632,13 +2699,13 @@ static PyObject *__pyx_pw_7metrics_11aic(PyObject *__pyx_self, PyObject 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return NULL; __pyx_L4_argument_unpacking_done:; - if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_y), (&PyList_Type), 1, "y", 1))) __PYX_ERR(0, 190, __pyx_L1_error) - if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_y_hat), (&PyList_Type), 1, "y_hat", 1))) __PYX_ERR(0, 190, __pyx_L1_error) - if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_method), (&PyString_Type), 1, "method", 1))) __PYX_ERR(0, 190, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_y), (&PyList_Type), 1, "y", 1))) __PYX_ERR(0, 211, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_y_hat), (&PyList_Type), 1, "y_hat", 1))) __PYX_ERR(0, 211, __pyx_L1_error) + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_method), (&PyString_Type), 1, "method", 1))) __PYX_ERR(0, 211, __pyx_L1_error) __pyx_r = __pyx_pf_7metrics_10aic(__pyx_self, __pyx_v_y, __pyx_v_y_hat, __pyx_v_k, __pyx_v_method); /* function exit code */ @@ -2699,7 +2766,7 @@ static PyObject *__pyx_pf_7metrics_10aic(CYTHON_UNUSED PyObject *__pyx_self, PyO __pyx_t_2.__pyx_n = 1; __pyx_t_2.method = __pyx_v_method; __pyx_t_1 = __pyx_f_7metrics_aic(__pyx_v_y, __pyx_v_y_hat, __pyx_v_k, 0, &__pyx_t_2); - __pyx_t_3 = PyFloat_FromDouble(__pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 190, __pyx_L1_error) + __pyx_t_3 = PyFloat_FromDouble(__pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 211, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_r = __pyx_t_3; __pyx_t_3 = 0; @@ -2769,7 +2836,6 @@ static struct PyModuleDef __pyx_moduledef = { static __Pyx_StringTabEntry __pyx_string_tab[] = { {&__pyx_n_s_cline_in_traceback, __pyx_k_cline_in_traceback, sizeof(__pyx_k_cline_in_traceback), 0, 0, 1, 1}, - {&__pyx_n_s_corrcoef, __pyx_k_corrcoef, sizeof(__pyx_k_corrcoef), 0, 0, 1, 1}, {&__pyx_n_s_import, __pyx_k_import, sizeof(__pyx_k_import), 0, 0, 1, 1}, {&__pyx_n_s_k, __pyx_k_k, sizeof(__pyx_k_k), 0, 0, 1, 1}, {&__pyx_n_s_linear, __pyx_k_linear, sizeof(__pyx_k_linear), 0, 0, 1, 1}, @@ -2779,14 +2845,13 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = { {&__pyx_n_s_np, __pyx_k_np, sizeof(__pyx_k_np), 0, 0, 1, 1}, {&__pyx_n_s_numpy, __pyx_k_numpy, sizeof(__pyx_k_numpy), 0, 0, 1, 1}, {&__pyx_n_s_range, __pyx_k_range, sizeof(__pyx_k_range), 0, 0, 1, 1}, - {&__pyx_n_s_round, __pyx_k_round, sizeof(__pyx_k_round), 0, 0, 1, 1}, {&__pyx_n_s_test, __pyx_k_test, sizeof(__pyx_k_test), 0, 0, 1, 1}, {&__pyx_n_s_y, __pyx_k_y, sizeof(__pyx_k_y), 0, 0, 1, 1}, {&__pyx_n_s_y_hat, __pyx_k_y_hat, sizeof(__pyx_k_y_hat), 0, 0, 1, 1}, {0, 0, 0, 0, 0, 0, 0} }; static CYTHON_SMALL_CODE int __Pyx_InitCachedBuiltins(void) { - __pyx_builtin_range = __Pyx_GetBuiltinName(__pyx_n_s_range); if (!__pyx_builtin_range) __PYX_ERR(0, 85, __pyx_L1_error) + __pyx_builtin_range = __Pyx_GetBuiltinName(__pyx_n_s_range); if (!__pyx_builtin_range) __PYX_ERR(0, 64, __pyx_L1_error) return 0; __pyx_L1_error:; return -1; @@ -2802,8 +2867,6 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { static CYTHON_SMALL_CODE int __Pyx_InitGlobals(void) { if (__Pyx_InitStrings(__pyx_string_tab) < 0) __PYX_ERR(0, 1, __pyx_L1_error); __pyx_float_0_5 = PyFloat_FromDouble(0.5); if (unlikely(!__pyx_float_0_5)) __PYX_ERR(0, 1, __pyx_L1_error) - __pyx_int_2 = PyInt_FromLong(2); if (unlikely(!__pyx_int_2)) __PYX_ERR(0, 1, __pyx_L1_error) - __pyx_int_3 = PyInt_FromLong(3); if (unlikely(!__pyx_int_3)) __PYX_ERR(0, 1, __pyx_L1_error) return 0; __pyx_L1_error:; return -1; @@ -3162,229 +3225,6 @@ static PyObject *__Pyx_GetBuiltinName(PyObject *name) { return result; } -/* PyDictVersioning */ -#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS -static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) { - PyObject *dict = Py_TYPE(obj)->tp_dict; - return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0; -} -static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) { - PyObject **dictptr = NULL; - Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset; - if (offset) { -#if CYTHON_COMPILING_IN_CPYTHON - dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj); -#else - dictptr = _PyObject_GetDictPtr(obj); -#endif - } - return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0; -} -static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) { - PyObject *dict = Py_TYPE(obj)->tp_dict; - if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict))) - return 0; - return obj_dict_version == __Pyx_get_object_dict_version(obj); -} -#endif - -/* GetModuleGlobalName */ -#if CYTHON_USE_DICT_VERSIONS -static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value) -#else -static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name) -#endif -{ - PyObject *result; -#if !CYTHON_AVOID_BORROWED_REFS -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 - result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash); - __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) - if (likely(result)) { - return __Pyx_NewRef(result); - } else if (unlikely(PyErr_Occurred())) { - return NULL; - } -#else - result = PyDict_GetItem(__pyx_d, name); - __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) - if (likely(result)) { - return __Pyx_NewRef(result); - } -#endif -#else - result = PyObject_GetItem(__pyx_d, name); - __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) - if (likely(result)) { - return __Pyx_NewRef(result); - } - PyErr_Clear(); -#endif - return __Pyx_GetBuiltinName(name); -} - -/* PyFunctionFastCall */ -#if CYTHON_FAST_PYCALL -static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na, - PyObject *globals) { - PyFrameObject *f; - PyThreadState *tstate = __Pyx_PyThreadState_Current; - PyObject **fastlocals; - Py_ssize_t i; - PyObject *result; - assert(globals != NULL); - /* XXX Perhaps we should create a specialized - PyFrame_New() that doesn't take locals, but does - take builtins without sanity checking them. - */ - assert(tstate != NULL); - f = PyFrame_New(tstate, co, globals, NULL); - if (f == NULL) { - return NULL; - } - fastlocals = __Pyx_PyFrame_GetLocalsplus(f); - for (i = 0; i < na; i++) { - Py_INCREF(*args); - fastlocals[i] = *args++; - } - result = PyEval_EvalFrameEx(f,0); - ++tstate->recursion_depth; - Py_DECREF(f); - --tstate->recursion_depth; - return result; -} -#if 1 || PY_VERSION_HEX < 0x030600B1 -static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs) { - PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func); - PyObject *globals = PyFunction_GET_GLOBALS(func); - PyObject *argdefs = PyFunction_GET_DEFAULTS(func); - PyObject *closure; -#if PY_MAJOR_VERSION >= 3 - PyObject *kwdefs; -#endif - PyObject *kwtuple, **k; - PyObject **d; - Py_ssize_t nd; - Py_ssize_t nk; - PyObject *result; - assert(kwargs == NULL || PyDict_Check(kwargs)); - nk = kwargs ? PyDict_Size(kwargs) : 0; - if (Py_EnterRecursiveCall((char*)" while calling a Python object")) { - return NULL; - } - if ( -#if PY_MAJOR_VERSION >= 3 - co->co_kwonlyargcount == 0 && -#endif - likely(kwargs == NULL || nk == 0) && - co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) { - if (argdefs == NULL && co->co_argcount == nargs) { - result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals); - goto done; - } - else if (nargs == 0 && argdefs != NULL - && co->co_argcount == Py_SIZE(argdefs)) { - /* function called with no arguments, but all parameters have - a default value: use default values as arguments .*/ - args = &PyTuple_GET_ITEM(argdefs, 0); - result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals); - goto done; - } - } - if (kwargs != NULL) { - Py_ssize_t pos, i; - kwtuple = PyTuple_New(2 * nk); - if (kwtuple == NULL) { - result = NULL; - goto done; - } - k = &PyTuple_GET_ITEM(kwtuple, 0); - pos = i = 0; - while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) { - Py_INCREF(k[i]); - Py_INCREF(k[i+1]); - i += 2; - } - nk = i / 2; - } - else { - kwtuple = NULL; - k = NULL; - } - closure = PyFunction_GET_CLOSURE(func); -#if PY_MAJOR_VERSION >= 3 - kwdefs = PyFunction_GET_KW_DEFAULTS(func); -#endif - if (argdefs != NULL) { - d = &PyTuple_GET_ITEM(argdefs, 0); - nd = Py_SIZE(argdefs); - } - else { - d = NULL; - nd = 0; - } -#if PY_MAJOR_VERSION >= 3 - result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL, - args, (int)nargs, - k, (int)nk, - d, (int)nd, kwdefs, closure); -#else - result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL, - args, (int)nargs, - k, (int)nk, - d, (int)nd, closure); -#endif - Py_XDECREF(kwtuple); -done: - Py_LeaveRecursiveCall(); - return result; -} -#endif -#endif - -/* PyCFunctionFastCall */ -#if CYTHON_FAST_PYCCALL -static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) { - PyCFunctionObject *func = (PyCFunctionObject*)func_obj; - PyCFunction meth = PyCFunction_GET_FUNCTION(func); - PyObject *self = PyCFunction_GET_SELF(func); - int flags = PyCFunction_GET_FLAGS(func); - assert(PyCFunction_Check(func)); - assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS))); - assert(nargs >= 0); - assert(nargs == 0 || args != NULL); - /* _PyCFunction_FastCallDict() must not be called with an exception set, - because it may clear it (directly or indirectly) and so the - caller loses its exception */ - assert(!PyErr_Occurred()); - if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) { - return (*((__Pyx_PyCFunctionFastWithKeywords)(void*)meth)) (self, args, nargs, NULL); - } else { - return (*((__Pyx_PyCFunctionFast)(void*)meth)) (self, args, nargs); - } -} -#endif - -/* PyObjectCall */ -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) { - PyObject *result; - ternaryfunc call = func->ob_type->tp_call; - if (unlikely(!call)) - return PyObject_Call(func, arg, kw); - if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) - return NULL; - result = (*call)(func, arg, kw); - Py_LeaveRecursiveCall(); - if (unlikely(!result) && unlikely(!PyErr_Occurred())) { - PyErr_SetString( - PyExc_SystemError, - "NULL result without error in PyObject_Call"); - } - return result; -} -#endif - /* GetItemInt */ static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) { PyObject *r; @@ -3915,6 +3755,32 @@ static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { return module; } +/* PyDictVersioning */ +#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) { + PyObject *dict = Py_TYPE(obj)->tp_dict; + return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0; +} +static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) { + PyObject **dictptr = NULL; + Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset; + if (offset) { +#if CYTHON_COMPILING_IN_CPYTHON + dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj); +#else + dictptr = _PyObject_GetDictPtr(obj); +#endif + } + return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0; +} +static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) { + PyObject *dict = Py_TYPE(obj)->tp_dict; + if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict))) + return 0; + return obj_dict_version == __Pyx_get_object_dict_version(obj); +} +#endif + /* CLineInTraceback */ #ifndef CYTHON_CLINE_IN_TRACEBACK static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line) { @@ -4144,37 +4010,6 @@ static void __Pyx_AddTraceback(const char *funcname, int c_line, return (target_type) value;\ } -/* CIntToPy */ -static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { - const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0; - const int is_unsigned = neg_one > const_zero; - if (is_unsigned) { - if (sizeof(long) < sizeof(long)) { - return PyInt_FromLong((long) value); - } else if (sizeof(long) <= sizeof(unsigned long)) { - return PyLong_FromUnsignedLong((unsigned long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { - return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); -#endif - } - } else { - if (sizeof(long) <= sizeof(long)) { - return PyInt_FromLong((long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { - return PyLong_FromLongLong((PY_LONG_LONG) value); -#endif - } - } - { - int one = 1; int little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&value; - return _PyLong_FromByteArray(bytes, sizeof(long), - little, !is_unsigned); - } -} - /* CIntToPy */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) { const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0; @@ -4233,6 +4068,37 @@ static CYTHON_INLINE long __Pyx_pow_long(long b, long e) { return t; } +/* CIntToPy */ +static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { + const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0; + const int is_unsigned = neg_one > const_zero; + if (is_unsigned) { + if (sizeof(long) < sizeof(long)) { + return PyInt_FromLong((long) value); + } else if (sizeof(long) <= sizeof(unsigned long)) { + return PyLong_FromUnsignedLong((unsigned long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { + return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); +#endif + } + } else { + if (sizeof(long) <= sizeof(long)) { + return PyInt_FromLong((long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { + return PyLong_FromLongLong((PY_LONG_LONG) value); +#endif + } + } + { + int one = 1; int little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&value; + return _PyLong_FromByteArray(bytes, sizeof(long), + little, !is_unsigned); + } +} + /* CIntFromPy */ static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) { const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0; diff --git a/bin/metrics/metrics.pyx b/bin/metrics/metrics.pyx index 1ee757a..dcfdced 100644 --- a/bin/metrics/metrics.pyx +++ b/bin/metrics/metrics.pyx @@ -51,7 +51,28 @@ cpdef rsq(list y, list y_hat): R-Squared value. """ - return _np.round(_np.corrcoef(y, y_hat)[0][1] ** 2, 3) + cdef int i = 0 + cdef int arr_len = 0 + cdef double a = 0.0 + cdef double b = 0.0 + cdef double y_sum = 0.0 + cdef double y_mean = 0.0 + cdef double num = 0.0 + cdef double den = 0.0 + cdef double op = 0.0 + arr_len = len(y) + for i in range(0, arr_len, 1): + a = y[i] + y_sum += a + y_mean = y_sum * arr_len ** -1.0 + for i in range(0, arr_len, 1): + a = y[i] + b = y_hat[i] + num += (a - b) ** 2 + den += (a - y_mean) ** 2 + if den != 0.0: + op = 1 - (num * den ** -1.0) + return op cpdef mse(list y, list y_hat): diff --git a/bin/metrics/metrics.so b/bin/metrics/metrics.so index da0163eff4fc8d0c8b2830fe9e42eebca97cf090..eaf4b30532107c8e39818496dc34fc8ad97bf7fe 100644 GIT binary patch literal 209552 zcmeFa4SZ8Y_CI`Yn@ab9>x%BW;`)Yfh^*EkLckRSUvXDgd`}ipz!mT{&-cvCO>ZOB-~K<(+y8mU z=aV~g&YU^t%$YNDX6D|TTwho`BTAMf{Sz%+BoTCE6vyO=g3{5^A}2|CQnqBlb%d0{ zXiedgpJucn9H*y}mBS=Mp{#>0_&C@#ocb1XSWk`hn7kH2ACX=g%kg?@tk(-gYwzae 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a/tests/test_metrics.py b/tests/test_metrics.py index 3132a1d..29a5a05 100644 --- a/tests/test_metrics.py +++ b/tests/test_metrics.py @@ -57,7 +57,7 @@ def test_rsq(self): """Metrics: Test for R-squared""" y = [3, 8, 10, 17, 24, 27] y_hat = [2, 8, 10, 13, 18, 20] - exp_op = 0.973 + exp_op = 0.772 op = np.round(metrics.rsq(y, y_hat), 3) self.assertEqual(op, exp_op) From 2ccbf7c589616944a1b9090a41c980b0938534c3 Mon Sep 17 00:00:00 2001 From: Diptesh Date: Sat, 15 Jan 2022 16:42:35 +0530 Subject: [PATCH 107/116] v0.4.1 changelog: - added TODO for module Tree --- mllib/lib/tree.py | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/mllib/lib/tree.py b/mllib/lib/tree.py index 4e73719..ed6d224 100644 --- a/mllib/lib/tree.py +++ b/mllib/lib/tree.py @@ -69,6 +69,7 @@ def __init__(self, self.max_lag = max_lag self.threshold = threshold self.seed = 1 + # TODO: Use a Dict to store all time series related values if self.method == "timeseries": self.ts_x_var = None self.ts_lag_var = None @@ -108,13 +109,13 @@ def _compute_metrics(self): def _ts_data_transform(self): """Transform input data with significant lag variables.""" - # Determine seasonality and return seaonal lag. + # Determine seasonality and return seaonal lag decomposition = seasonal_decompose(self.df[self.y_var], model="additive") _seasonal = decomposition.seasonal freq = _seasonal.value_counts() m = int(np.ceil(len(self.df) / freq.iloc[0])) - # Determine significant lags. + # Determine significant lags df = self.df.copy(deep=True) df = df[self.y_var] df = pd.DataFrame({"lag": list(range(self.max_lag+1)), @@ -141,6 +142,7 @@ def _ts_data_transform(self): self.ts_df = self.ts_df.join(self.df[self.x_var]) self.ts_df = self.ts_df.dropna() self.ts_x_var = list(self.ts_df.columns) + # TODO: Check for consistency and edge cases self.ts_x_var.remove(self.y_var[0]) def _fit(self) -> Dict[str, Any]: # pragma: no cover @@ -159,8 +161,10 @@ def _ts_predict(self, df_op = x_predict.copy(deep=True) df_op[self.y_var] = -1.0 lst_lag_val = self.df[self.y_var].tolist() + # TODO: Use enumerate for i in range(0, len(df_op)): df_pred_x = pd.DataFrame(df_op.iloc[i]).T + # TODO: Use enumerate for j in range(0, len(self.ts_lag_var)): df_pred_x["lag_" + str(self.ts_lag_var[j])] \ = lst_lag_val[len(lst_lag_val) - self.ts_lag_var[j]] @@ -294,6 +298,7 @@ def _fit(self) -> Dict[str, Any]: n_iter=3, return_train_score=True, cv=self.k_fold) + # TODO: Use a Dict to store all time series related values if self.method == "timeseries": gs_op = gs.fit(self.ts_df[self.ts_x_var], self.ts_df[self.y_var]) From 39cc1d5a7687d74a499b5a7332d15fafffe85b82 Mon Sep 17 00:00:00 2001 From: MadhuTangudu Date: Sat, 15 Jan 2022 19:04:03 +0530 Subject: [PATCH 108/116] v0.4.0 changelog: - made changes to tree.py module as suggested by Diptesh (integration tests are pending) --- mllib/lib/tree.py | 82 +++++++++++++++++++++++++---------------------- 1 file changed, 44 insertions(+), 38 deletions(-) diff --git a/mllib/lib/tree.py b/mllib/lib/tree.py index ed6d224..d2e8157 100644 --- a/mllib/lib/tree.py +++ b/mllib/lib/tree.py @@ -55,9 +55,8 @@ def __init__(self, x_var: List[str] = None, method: str = "regression", k_fold: int = 5, - max_lag: int = 20, - threshold: float = 0.05, - param: Dict = None): + param: Dict = None, + ts_params: Dict = None): """Initialize variables.""" self.y_var = y_var self.x_var = x_var @@ -66,13 +65,15 @@ def __init__(self, if self.method in ("classify", "regression"): self.df = self.df.reset_index(drop=True) self.k_fold = k_fold - self.max_lag = max_lag - self.threshold = threshold self.seed = 1 - # TODO: Use a Dict to store all time series related values if self.method == "timeseries": - self.ts_x_var = None - self.ts_lag_var = None + self.ts_params = ts_params + if self.ts_params is None: + self.ts_params = {} + self.ts_params["threshold"] = 0.05 + self.ts_params["max_lag"] = 20 + self.ts_params["ts_x_var"] = None + self.ts_params["ts_lag_var"] = None self._ts_data_transform() self.k_fold = ts_split(n_splits=self.k_fold)\ .split(X=self.ts_df[self.y_var]) @@ -89,7 +90,8 @@ def _compute_metrics(self): y_hat = list(self.model.predict(self.df[self.x_var])) elif self.method == "timeseries": y = self.ts_df.loc[:, self.y_var].values.tolist() - y_hat = list(self.model.predict(self.ts_df[self.ts_x_var])) + y_hat = list(self.model.predict( + self.ts_df[self.ts_params["ts_x_var"]])) if self.method in ("regression", "timeseries"): model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), "mae": np.round(metrics.mae(y, y_hat), 3), @@ -118,32 +120,36 @@ def _ts_data_transform(self): # Determine significant lags df = self.df.copy(deep=True) df = df[self.y_var] - df = pd.DataFrame({"lag": list(range(self.max_lag+1)), - "pacf": pacf(df, nlags=self.max_lag, method='ols')}) - df["thres_val"] = (np.round(norm.ppf(1 - (self.threshold / 2)), 2) - / (len(self.df) ** 0.5)) + df = pd.DataFrame({"lag": list(range(self.ts_params["max_lag"]+1)), + "pacf": pacf(df, + nlags=self.ts_params["max_lag"], + method='ols')}) + df["thres_val"] = \ + (np.round(norm.ppf(1 - (self.ts_params["threshold"] / 2)), 2) + / (len(self.df) ** 0.5)) df["pacf_sig"] = np.where((df['pacf'] >= df["thres_val"]) | (df['pacf'] <= - df["thres_val"]), 1, 0) df = df.where(df['pacf_sig'] > 0) df = df.dropna() - self.ts_lag_var = df['lag'].astype(int).to_list() - self.ts_lag_var.append(m) - for i in self.ts_lag_var: - if i == 0: - self.ts_lag_var.remove(i) + self.ts_params["ts_lag_var"] = df['lag'].astype(int).to_list() + self.ts_params["ts_lag_var"].append(m) + self.ts_params["ts_lag_var"] = \ + [x for x in self.ts_params["ts_lag_var"] if x != 0] + self.ts_params["ts_lag_var"] = set(self.ts_params["ts_lag_var"]) + self.ts_params["ts_lag_var"] = list(self.ts_params["ts_lag_var"]) self.ts_df = pd.DataFrame(self.df.loc[:, self.y_var]) # TODO: Add integration test - if len(self.ts_lag_var) == 0: # pragma: no cover - self.ts_lag_var = [1] - for lag in self.ts_lag_var: - self.ts_df.loc[:, "lag_" + str(lag)] = self.ts_df["y"].shift(lag) + if len(self.ts_params["ts_lag_var"]) == 0: # pragma: no cover + self.ts_params["ts_lag_var"] = [1] + for lag in self.ts_params["ts_lag_var"]: + self.ts_df.loc[:, "lag_" + str(lag)] = \ + self.ts_df[self.y_var].shift(lag) if self.x_var is not None: self.ts_df = self.ts_df.join(self.df[self.x_var]) self.ts_df = self.ts_df.dropna() - self.ts_x_var = list(self.ts_df.columns) - # TODO: Check for consistency and edge cases - self.ts_x_var.remove(self.y_var[0]) + self.ts_params["ts_x_var"] = list(self.ts_df.columns) + self.ts_params["ts_x_var"].remove(self.y_var) def _fit(self) -> Dict[str, Any]: # pragma: no cover """Fit model.""" @@ -161,15 +167,14 @@ def _ts_predict(self, df_op = x_predict.copy(deep=True) df_op[self.y_var] = -1.0 lst_lag_val = self.df[self.y_var].tolist() - # TODO: Use enumerate - for i in range(0, len(df_op)): + for i, _ in enumerate(df_op): df_pred_x = pd.DataFrame(df_op.iloc[i]).T - # TODO: Use enumerate - for j in range(0, len(self.ts_lag_var)): - df_pred_x["lag_" + str(self.ts_lag_var[j])] \ - = lst_lag_val[len(lst_lag_val) - self.ts_lag_var[j]] + for j, _ in enumerate(self.ts_params["ts_lag_var"]): + df_pred_x["lag_" + str(self.ts_params["ts_lag_var"][j])] \ + = lst_lag_val[len(lst_lag_val) \ + - self.ts_params["ts_lag_var"][j]] df_pred_x = pd.DataFrame(df_pred_x) - y_hat = self.model.predict(df_pred_x[self.ts_x_var]) + y_hat = self.model.predict(df_pred_x[self.ts_params["ts_x_var"]]) df_op.iloc[i, df_op.columns.get_loc(self.y_var)] = y_hat[0] lst_lag_val.append(y_hat[0]) return df_op @@ -281,9 +286,10 @@ def _fit(self) -> Dict[str, Any]: = list(range(1, len(self.x_var))) elif self.method == "timeseries": self.param["max_features"] \ - = [int(np.ceil(len(self.ts_x_var) / 3))] + = [int(np.ceil(len(self.ts_params["ts_x_var"]) / 3))] self.param["min_samples_leaf"] = [5] - self.param["max_depth"] = list(range(1, len(self.ts_x_var))) + self.param["max_depth"] = \ + list(range(1, len(self.ts_params["ts_x_var"]))) if self.method == "classify": tmp_model = rf.RandomForestClassifier(oob_score=True, random_state=self.seed) @@ -298,9 +304,8 @@ def _fit(self) -> Dict[str, Any]: n_iter=3, return_train_score=True, cv=self.k_fold) - # TODO: Use a Dict to store all time series related values if self.method == "timeseries": - gs_op = gs.fit(self.ts_df[self.ts_x_var], + gs_op = gs.fit(self.ts_df[self.ts_params["ts_x_var"]], self.ts_df[self.y_var]) elif self.method in ("regression", "classify"): gs_op = gs.fit(self.df[self.x_var], @@ -397,7 +402,8 @@ def _fit(self) -> Dict[str, Any]: "colsample_bytree": [0.5, 1.0], "min_child_weight": [0.5, 1.0, 3.0]} if self.method == "timeseries": - self.param["max_depth"] = [int(len(self.ts_x_var) * 0.8)] + self.param["max_depth"] = \ + [int(len(self.ts_params["ts_x_var"]) * 0.8)] elif self.method in ("regression", "classify"): self.param["max_depth"] = [int(len(self.x_var) * 0.8)] if self.method == "classify": @@ -427,7 +433,7 @@ def _fit(self) -> Dict[str, Any]: cv=self.k_fold, random_state=self.seed) if self.method == "timeseries": - gs_op = gs.fit(self.ts_df[self.ts_x_var], + gs_op = gs.fit(self.ts_df[self.ts_params["ts_x_var"]], self.ts_df[self.y_var]) elif self.method in ("regression", "classify"): gs_op = gs.fit(self.df[self.x_var], From aa5b2c27308cd211a868e6454380e5f88eae4f73 Mon Sep 17 00:00:00 2001 From: MadhuTangudu Date: Sat, 15 Jan 2022 19:11:36 +0530 Subject: [PATCH 109/116] v0.4.1 changelog: - made changes to tree.py module as suggested by Diptesh (Integration tests are pending) --- mllib/lib/tree.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/mllib/lib/tree.py b/mllib/lib/tree.py index d2e8157..b4dfb01 100644 --- a/mllib/lib/tree.py +++ b/mllib/lib/tree.py @@ -110,7 +110,7 @@ def _compute_metrics(self): self.model_summary = model_summary def _ts_data_transform(self): - """Transform input data with significant lag variables.""" + """Transform input data with significant lag variables. """ # Determine seasonality and return seaonal lag decomposition = seasonal_decompose(self.df[self.y_var], model="additive") From 371f4b75a27ce1d51fc6d443a714c213b1c549d9 Mon Sep 17 00:00:00 2001 From: MadhuTangudu Date: Sat, 15 Jan 2022 20:25:28 +0530 Subject: [PATCH 110/116] v0.4.1 changelog: - minor changes like naming conventions and comments in tree.py module --- mllib/lib/tree.py | 91 +++++++++++++++++++++++++++++------------------ 1 file changed, 57 insertions(+), 34 deletions(-) diff --git a/mllib/lib/tree.py b/mllib/lib/tree.py index b4dfb01..ce38be6 100644 --- a/mllib/lib/tree.py +++ b/mllib/lib/tree.py @@ -56,7 +56,7 @@ def __init__(self, method: str = "regression", k_fold: int = 5, param: Dict = None, - ts_params: Dict = None): + ts_param: Dict = None): """Initialize variables.""" self.y_var = y_var self.x_var = x_var @@ -67,13 +67,13 @@ def __init__(self, self.k_fold = k_fold self.seed = 1 if self.method == "timeseries": - self.ts_params = ts_params - if self.ts_params is None: - self.ts_params = {} - self.ts_params["threshold"] = 0.05 - self.ts_params["max_lag"] = 20 - self.ts_params["ts_x_var"] = None - self.ts_params["ts_lag_var"] = None + self.ts_param = ts_param + if self.ts_param is None: + self.ts_param = {} + self.ts_param["threshold"] = 0.05 + self.ts_param["max_lag"] = 20 + self.ts_param["ts_x_var"] = None + self.ts_param["ts_lag_var"] = None self._ts_data_transform() self.k_fold = ts_split(n_splits=self.k_fold)\ .split(X=self.ts_df[self.y_var]) @@ -91,7 +91,7 @@ def _compute_metrics(self): elif self.method == "timeseries": y = self.ts_df.loc[:, self.y_var].values.tolist() y_hat = list(self.model.predict( - self.ts_df[self.ts_params["ts_x_var"]])) + self.ts_df[self.ts_param["ts_x_var"]])) if self.method in ("regression", "timeseries"): model_summary = {"rsq": np.round(metrics.rsq(y, y_hat), 3), "mae": np.round(metrics.mae(y, y_hat), 3), @@ -116,40 +116,41 @@ def _ts_data_transform(self): model="additive") _seasonal = decomposition.seasonal freq = _seasonal.value_counts() - m = int(np.ceil(len(self.df) / freq.iloc[0])) + self.ts_param["seasonality"] = \ + int(np.ceil(len(self.df) / freq.iloc[0])) # Determine significant lags df = self.df.copy(deep=True) df = df[self.y_var] - df = pd.DataFrame({"lag": list(range(self.ts_params["max_lag"]+1)), + df = pd.DataFrame({"lag": list(range(self.ts_param["max_lag"]+1)), "pacf": pacf(df, - nlags=self.ts_params["max_lag"], + nlags=self.ts_param["max_lag"], method='ols')}) df["thres_val"] = \ - (np.round(norm.ppf(1 - (self.ts_params["threshold"] / 2)), 2) + (np.round(norm.ppf(1 - (self.ts_param["threshold"] / 2)), 2) / (len(self.df) ** 0.5)) df["pacf_sig"] = np.where((df['pacf'] >= df["thres_val"]) | (df['pacf'] <= - df["thres_val"]), 1, 0) df = df.where(df['pacf_sig'] > 0) df = df.dropna() - self.ts_params["ts_lag_var"] = df['lag'].astype(int).to_list() - self.ts_params["ts_lag_var"].append(m) - self.ts_params["ts_lag_var"] = \ - [x for x in self.ts_params["ts_lag_var"] if x != 0] - self.ts_params["ts_lag_var"] = set(self.ts_params["ts_lag_var"]) - self.ts_params["ts_lag_var"] = list(self.ts_params["ts_lag_var"]) + self.ts_param["ts_lag_var"] = df['lag'].astype(int).to_list() + self.ts_param["ts_lag_var"].append(self.ts_param["seasonality"]) + self.ts_param["ts_lag_var"] = \ + [x for x in self.ts_param["ts_lag_var"] if x != 0] + self.ts_param["ts_lag_var"] = set(self.ts_param["ts_lag_var"]) + self.ts_param["ts_lag_var"] = list(self.ts_param["ts_lag_var"]) self.ts_df = pd.DataFrame(self.df.loc[:, self.y_var]) # TODO: Add integration test - if len(self.ts_params["ts_lag_var"]) == 0: # pragma: no cover - self.ts_params["ts_lag_var"] = [1] - for lag in self.ts_params["ts_lag_var"]: + if len(self.ts_param["ts_lag_var"]) == 0: # pragma: no cover + self.ts_param["ts_lag_var"] = [1] + for lag in self.ts_param["ts_lag_var"]: self.ts_df.loc[:, "lag_" + str(lag)] = \ self.ts_df[self.y_var].shift(lag) if self.x_var is not None: self.ts_df = self.ts_df.join(self.df[self.x_var]) self.ts_df = self.ts_df.dropna() - self.ts_params["ts_x_var"] = list(self.ts_df.columns) - self.ts_params["ts_x_var"].remove(self.y_var) + self.ts_param["ts_x_var"] = list(self.ts_df.columns) + self.ts_param["ts_x_var"].remove(self.y_var) def _fit(self) -> Dict[str, Any]: # pragma: no cover """Fit model.""" @@ -169,12 +170,12 @@ def _ts_predict(self, lst_lag_val = self.df[self.y_var].tolist() for i, _ in enumerate(df_op): df_pred_x = pd.DataFrame(df_op.iloc[i]).T - for j, _ in enumerate(self.ts_params["ts_lag_var"]): - df_pred_x["lag_" + str(self.ts_params["ts_lag_var"][j])] \ + for j, _ in enumerate(self.ts_param["ts_lag_var"]): + df_pred_x["lag_" + str(self.ts_param["ts_lag_var"][j])] \ = lst_lag_val[len(lst_lag_val) \ - - self.ts_params["ts_lag_var"][j]] + - self.ts_param["ts_lag_var"][j]] df_pred_x = pd.DataFrame(df_pred_x) - y_hat = self.model.predict(df_pred_x[self.ts_params["ts_x_var"]]) + y_hat = self.model.predict(df_pred_x[self.ts_param["ts_x_var"]]) df_op.iloc[i, df_op.columns.get_loc(self.y_var)] = y_hat[0] lst_lag_val.append(y_hat[0]) return df_op @@ -242,6 +243,17 @@ class RandomForest(Tree): max_features: ["sqrt", "auto"] min_samples_leaf: [2, 5] + ts_param : dict, optional + + Random forest parameters (the default is None). + In case of None, the parameters will default to:: + + threshold: 0.05 + max_lag: 20 + ts_x_var: None + ts_lag_var: None + seasonality: None + Returns ------- model : object @@ -286,10 +298,10 @@ def _fit(self) -> Dict[str, Any]: = list(range(1, len(self.x_var))) elif self.method == "timeseries": self.param["max_features"] \ - = [int(np.ceil(len(self.ts_params["ts_x_var"]) / 3))] + = [int(np.ceil(len(self.ts_param["ts_x_var"]) / 3))] self.param["min_samples_leaf"] = [5] self.param["max_depth"] = \ - list(range(1, len(self.ts_params["ts_x_var"]))) + list(range(1, len(self.ts_param["ts_x_var"]))) if self.method == "classify": tmp_model = rf.RandomForestClassifier(oob_score=True, random_state=self.seed) @@ -305,7 +317,7 @@ def _fit(self) -> Dict[str, Any]: return_train_score=True, cv=self.k_fold) if self.method == "timeseries": - gs_op = gs.fit(self.ts_df[self.ts_params["ts_x_var"]], + gs_op = gs.fit(self.ts_df[self.ts_param["ts_x_var"]], self.ts_df[self.y_var]) elif self.method in ("regression", "classify"): gs_op = gs.fit(self.df[self.x_var], @@ -363,9 +375,20 @@ class XGBoost(Tree): subsample: [0.5, 0.75, 1.0] colsample_bytree: [0.5, 1.0] min_child_weight: [0.5, 1.0, 3.0] - max_depth: [int(len(self.x_var) * 0.8)] + max_depth: [int(len(self.x_var) * 0.8] objective: ["reg:squarederror", "binary:logistic"] + ts_param : dict, optional + + Random forest time series parameters (the default is None). + In case of None, the parameters will default to:: + + threshold: 0.05 + max_lag: 20 + ts_x_var: None + ts_lag_var: None + seasonlity: None + Returns ------- model : object @@ -403,7 +426,7 @@ def _fit(self) -> Dict[str, Any]: "min_child_weight": [0.5, 1.0, 3.0]} if self.method == "timeseries": self.param["max_depth"] = \ - [int(len(self.ts_params["ts_x_var"]) * 0.8)] + [int(len(self.ts_param["ts_x_var"]) * 0.8)] elif self.method in ("regression", "classify"): self.param["max_depth"] = [int(len(self.x_var) * 0.8)] if self.method == "classify": @@ -433,7 +456,7 @@ def _fit(self) -> Dict[str, Any]: cv=self.k_fold, random_state=self.seed) if self.method == "timeseries": - gs_op = gs.fit(self.ts_df[self.ts_params["ts_x_var"]], + gs_op = gs.fit(self.ts_df[self.ts_param["ts_x_var"]], self.ts_df[self.y_var]) elif self.method in ("regression", "classify"): gs_op = gs.fit(self.df[self.x_var], From bb499e9cdbf78ebafa88e9f48a3c353b4138bc3b Mon Sep 17 00:00:00 2001 From: Diptesh Date: Sat, 15 Jan 2022 20:51:45 +0530 Subject: [PATCH 111/116] v0.4.1 --- bin/run_tests.sh | 4 ++-- logs/cov.out | 4 ++-- logs/pylint/lib-tree-py.out | 8 ++++---- mllib/lib/tree.py | 14 +++----------- requirements.txt | 10 +++++----- 5 files changed, 16 insertions(+), 24 deletions(-) diff --git a/bin/run_tests.sh b/bin/run_tests.sh index a39cb95..2b9ae8c 100644 --- a/bin/run_tests.sh +++ b/bin/run_tests.sh @@ -31,7 +31,7 @@ printf "=%.0s" {1..70} # Run unit tests if [[ $module == "-a" || $module == "-u" ]] then - printf "\nRunning unit & integration tests...\n\n" + printf "\nRunning unit & integration tests ...\n\n" coverage run -m unittest discover -v -s $test_dir -p "test_*.py" coverage report -m --omit="*/tests/test_*,*/opt/spark-*" > "$proj_dir/logs/cov.out" COV_SCORE=`grep "TOTAL" $proj_dir/logs/cov.out | tail -1 | awk '{ printf("%d", $4) }'` @@ -48,7 +48,7 @@ fi # Rate coding styles for all python scripts if [[ $module == "-a" || $module == "-r" ]] then - printf "\nRating code style...\n\n" + printf "\nRating code style ...\n\n" score=0 cnt=0 rm $proj_dir/logs/pylint/*.out diff --git a/logs/cov.out b/logs/cov.out index 1a6baa3..3f4aeb9 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -7,6 +7,6 @@ Name Stmts Miss Co /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/model.py 44 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/opt.py 157 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/timeseries.py 60 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/tree.py 156 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/tree.py 159 0 100% --------------------------------------------------------------------------------------------- -TOTAL 604 0 100% +TOTAL 607 0 100% diff --git a/logs/pylint/lib-tree-py.out b/logs/pylint/lib-tree-py.out index 3942ea4..874b694 100644 --- a/logs/pylint/lib-tree-py.out +++ b/logs/pylint/lib-tree-py.out @@ -1,8 +1,8 @@ ************* Module mllib.lib.tree -tree.py:93:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -tree.py:94:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -tree.py:95:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -tree.py:96:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +tree.py:96:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +tree.py:97:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +tree.py:98:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +tree.py:99:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/mllib/lib/tree.py b/mllib/lib/tree.py index ce38be6..9f354ad 100644 --- a/mllib/lib/tree.py +++ b/mllib/lib/tree.py @@ -14,7 +14,7 @@ - Diptesh - Madhu - Date: Jan 10, 2022 + Date: Jan 15, 2022 """ # pylint: disable=invalid-name @@ -110,7 +110,7 @@ def _compute_metrics(self): self.model_summary = model_summary def _ts_data_transform(self): - """Transform input data with significant lag variables. """ + """Transform input data with significant lag variables.""" # Determine seasonality and return seaonal lag decomposition = seasonal_decompose(self.df[self.y_var], model="additive") @@ -172,7 +172,7 @@ def _ts_predict(self, df_pred_x = pd.DataFrame(df_op.iloc[i]).T for j, _ in enumerate(self.ts_param["ts_lag_var"]): df_pred_x["lag_" + str(self.ts_param["ts_lag_var"][j])] \ - = lst_lag_val[len(lst_lag_val) \ + = lst_lag_val[len(lst_lag_val) - self.ts_param["ts_lag_var"][j]] df_pred_x = pd.DataFrame(df_pred_x) y_hat = self.model.predict(df_pred_x[self.ts_param["ts_x_var"]]) @@ -224,10 +224,6 @@ class RandomForest(Tree): Number of cross validations folds (the default is 5) - max_lag : int, optional - - Maximum lag value for auto regression in timeseries (the default is 20) - threshold : float, optional Threshold to identify significant lag values (the default is 0.05) @@ -357,10 +353,6 @@ class XGBoost(Tree): Number of cross validations folds (the default is 5) - max_lag : int, optional - - Maximum lag value for auto regression in timeseries (the default is 20) - threshold : float, optional Threshold to identify significant lag values (the default is 0.05) diff --git a/requirements.txt b/requirements.txt index 630d24b..5a37130 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,10 +1,10 @@ -pmdarima==1.8.0 xlrd==1.2.0 -statsmodels==0.11.0 -xgboost==1.5.0 -Cython==0.29.15 -pandas==1.0.1 PuLP==1.6.8 +xgboost==1.5.0 numpy==1.18.1 +statsmodels==0.11.0 +Cython==0.29.15 scipy==1.4.1 +pandas==1.0.1 +pmdarima==1.8.0 scikit_learn==1.0.2 From 9a187c526205d38cd74f9c6ecc2da92c133c9b3d Mon Sep 17 00:00:00 2001 From: Diptesh Date: Sat, 15 Jan 2022 21:39:24 +0530 Subject: [PATCH 112/116] v0.4.1 changelog - minor change in Tree module to determine unique independent variables --- logs/cov.out | 4 ++-- mllib/lib/tree.py | 3 +-- requirements.txt | 10 +++++----- 3 files changed, 8 insertions(+), 9 deletions(-) diff --git a/logs/cov.out b/logs/cov.out index 3f4aeb9..a011f83 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -7,6 +7,6 @@ Name Stmts Miss Co /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/model.py 44 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/opt.py 157 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/timeseries.py 60 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/tree.py 159 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/tree.py 158 0 100% --------------------------------------------------------------------------------------------- -TOTAL 607 0 100% +TOTAL 606 0 100% diff --git a/mllib/lib/tree.py b/mllib/lib/tree.py index 9f354ad..18dec44 100644 --- a/mllib/lib/tree.py +++ b/mllib/lib/tree.py @@ -137,8 +137,7 @@ def _ts_data_transform(self): self.ts_param["ts_lag_var"].append(self.ts_param["seasonality"]) self.ts_param["ts_lag_var"] = \ [x for x in self.ts_param["ts_lag_var"] if x != 0] - self.ts_param["ts_lag_var"] = set(self.ts_param["ts_lag_var"]) - self.ts_param["ts_lag_var"] = list(self.ts_param["ts_lag_var"]) + self.ts_param["ts_lag_var"] = list(set(self.ts_param["ts_lag_var"])) self.ts_df = pd.DataFrame(self.df.loc[:, self.y_var]) # TODO: Add integration test if len(self.ts_param["ts_lag_var"]) == 0: # pragma: no cover diff --git a/requirements.txt b/requirements.txt index 5a37130..4cac1b2 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,10 +1,10 @@ +pmdarima==1.8.0 +xgboost==1.5.0 +scipy==1.4.1 xlrd==1.2.0 PuLP==1.6.8 -xgboost==1.5.0 numpy==1.18.1 -statsmodels==0.11.0 -Cython==0.29.15 -scipy==1.4.1 pandas==1.0.1 -pmdarima==1.8.0 +Cython==0.29.15 +statsmodels==0.11.0 scikit_learn==1.0.2 From d89ed45157d8c500b00e96829776e2e9539f2594 Mon Sep 17 00:00:00 2001 From: Diptesh Date: Sat, 15 Jan 2022 22:56:34 +0530 Subject: [PATCH 113/116] v0.4.1 changelog: - updated numpy version to 1.21 to mitigate CVE-2021-33430 --- logs/cov.out | 6 ++---- logs/pylint/lib-__init__-py.out | 4 ---- logs/pylint/lib-knn-py.out | 10 +++++----- logs/pylint/lib-model-py.out | 10 +++++----- logs/pylint/lib-timeseries-py.out | 10 +++++----- logs/pylint/lib-tree-py.out | 10 +++++----- logs/pylint/mllib-__init__-py.out | 4 ---- logs/pylint/tests-test_metrics-py.out | 7 ------- mllib/__init__.py | 27 --------------------------- mllib/lib/__init__.py | 27 --------------------------- mllib/lib/model.py | 16 +++++++++++++++- requirements.txt | 14 +++++++------- tests/test_model.py | 19 ++++++++----------- 13 files changed, 52 insertions(+), 112 deletions(-) delete mode 100644 logs/pylint/lib-__init__-py.out delete mode 100644 logs/pylint/mllib-__init__-py.out delete mode 100644 mllib/__init__.py delete mode 100644 mllib/lib/__init__.py diff --git a/logs/cov.out b/logs/cov.out index a011f83..176addb 100644 --- a/logs/cov.out +++ b/logs/cov.out @@ -1,12 +1,10 @@ Name Stmts Miss Cover Missing --------------------------------------------------------------------------------------------- -/media/ph33r/Data/Project/CodeLib/Git/mllib/__init__.py 7 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/__init__.py 7 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/cluster.py 103 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/knn.py 70 0 100% -/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/model.py 44 0 100% +/media/ph33r/Data/Project/CodeLib/Git/mllib/lib/model.py 52 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/opt.py 157 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/timeseries.py 60 0 100% /media/ph33r/Data/Project/CodeLib/Git/mllib/lib/tree.py 158 0 100% --------------------------------------------------------------------------------------------- -TOTAL 606 0 100% +TOTAL 600 0 100% diff --git a/logs/pylint/lib-__init__-py.out b/logs/pylint/lib-__init__-py.out deleted file mode 100644 index d7495ee..0000000 --- a/logs/pylint/lib-__init__-py.out +++ /dev/null @@ -1,4 +0,0 @@ - --------------------------------------------------------------------- -Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) - diff --git a/logs/pylint/lib-knn-py.out b/logs/pylint/lib-knn-py.out index ccf9413..aa65186 100644 --- a/logs/pylint/lib-knn-py.out +++ b/logs/pylint/lib-knn-py.out @@ -1,8 +1,8 @@ -************* Module mllib.lib.knn -knn.py:176:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -knn.py:177:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -knn.py:178:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -knn.py:179:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +************* Module knn +knn.py:176:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:177:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:178:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:179:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/logs/pylint/lib-model-py.out b/logs/pylint/lib-model-py.out index acd91c5..b949fd7 100644 --- a/logs/pylint/lib-model-py.out +++ b/logs/pylint/lib-model-py.out @@ -1,8 +1,8 @@ -************* Module mllib.lib.model -model.py:166:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -model.py:167:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -model.py:168:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -model.py:169:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +************* Module model +model.py:180:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:181:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:182:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +model.py:183:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/logs/pylint/lib-timeseries-py.out b/logs/pylint/lib-timeseries-py.out index 21b6189..b9912f8 100644 --- a/logs/pylint/lib-timeseries-py.out +++ b/logs/pylint/lib-timeseries-py.out @@ -1,8 +1,8 @@ -************* Module mllib.lib.timeseries -timeseries.py:201:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -timeseries.py:202:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -timeseries.py:203:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -timeseries.py:204:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +************* Module timeseries +timeseries.py:201:41: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:202:41: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:203:42: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +timeseries.py:204:42: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/logs/pylint/lib-tree-py.out b/logs/pylint/lib-tree-py.out index 874b694..4545969 100644 --- a/logs/pylint/lib-tree-py.out +++ b/logs/pylint/lib-tree-py.out @@ -1,8 +1,8 @@ -************* Module mllib.lib.tree -tree.py:96:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -tree.py:97:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -tree.py:98:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -tree.py:99:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +************* Module tree +tree.py:96:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +tree.py:97:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +tree.py:98:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +tree.py:99:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/logs/pylint/mllib-__init__-py.out b/logs/pylint/mllib-__init__-py.out deleted file mode 100644 index d7495ee..0000000 --- a/logs/pylint/mllib-__init__-py.out +++ /dev/null @@ -1,4 +0,0 @@ - --------------------------------------------------------------------- -Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) - diff --git a/logs/pylint/tests-test_metrics-py.out b/logs/pylint/tests-test_metrics-py.out index 10dc202..d7495ee 100644 --- a/logs/pylint/tests-test_metrics-py.out +++ b/logs/pylint/tests-test_metrics-py.out @@ -1,10 +1,3 @@ -************* Module tests.test_metrics -test_metrics.py:61:22: I1101: Module 'mllib.lib.metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -test_metrics.py:69:22: I1101: Module 'mllib.lib.metrics' has no 'mse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -test_metrics.py:77:22: I1101: Module 'mllib.lib.metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -test_metrics.py:85:22: I1101: Module 'mllib.lib.metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -test_metrics.py:93:22: I1101: Module 'mllib.lib.metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -test_metrics.py:101:22: I1101: Module 'mllib.lib.metrics' has no 'aic' member, but source is unavailable. Consider adding this module to extension-pkg-whitelist if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/mllib/__init__.py b/mllib/__init__.py deleted file mode 100644 index ba47ad4..0000000 --- a/mllib/__init__.py +++ /dev/null @@ -1,27 +0,0 @@ -""" -Initialization file for mllib. - -Credits -------- -:: - - Authors: - - Diptesh - - Date: Sep 01, 2021 -""" - -# pylint: disable=invalid-name -# pylint: disable=wrong-import-position - -import re -import sys - -from inspect import getsourcefile -from os.path import abspath - -# Set base path -path = abspath(getsourcefile(lambda: 0)) -path = re.sub(r"(.+)(\/mllib.*)", "\\1", path) - -sys.path.insert(0, path) diff --git a/mllib/lib/__init__.py b/mllib/lib/__init__.py deleted file mode 100644 index cdb5f64..0000000 --- a/mllib/lib/__init__.py +++ /dev/null @@ -1,27 +0,0 @@ -""" -Initialization file for mllib/lib. - -Credits -------- -:: - - Authors: - - Diptesh - - Date: Sep 01, 2021 -""" - -# pylint: disable=invalid-name -# pylint: disable=wrong-import-position - -import re -import sys - -from inspect import getsourcefile -from os.path import abspath - -# Set base path -path = abspath(getsourcefile(lambda: 0)) -path = re.sub(r"(.+)(\/mllib.*)", "\\1", path) - -sys.path.insert(0, path) diff --git a/mllib/lib/model.py b/mllib/lib/model.py index efa6afc..2c82e84 100644 --- a/mllib/lib/model.py +++ b/mllib/lib/model.py @@ -16,10 +16,11 @@ """ # pylint: disable=invalid-name -# pylint: disable=R0902,R0903,R0913,C0413 +# pylint: disable=R0902,R0903,R0913,C0413,W0511 from typing import List, Dict +import warnings import re import sys from inspect import getsourcefile @@ -42,6 +43,17 @@ # ============================================================================= +def ignore_warnings(test_func): + """Suppress warnings.""" + + def do_test(self, *args, **kwargs): + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + test_func(self, *args, **kwargs) + + return do_test + + class GLMNet(): """GLMNet module. @@ -133,6 +145,8 @@ def __init__(self, self._fit() self._compute_metrics() + # TODO: Remove this once GLMNet is updated + @ignore_warnings def _fit(self) -> None: """Fit the best GLMNet model.""" train_x, test_x,\ diff --git a/requirements.txt b/requirements.txt index 4cac1b2..2ca5a5c 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,10 +1,10 @@ +pandas==1.3.5 pmdarima==1.8.0 -xgboost==1.5.0 -scipy==1.4.1 -xlrd==1.2.0 PuLP==1.6.8 -numpy==1.18.1 -pandas==1.0.1 -Cython==0.29.15 -statsmodels==0.11.0 +xgboost==1.5.0 +statsmodels==0.13.0 +Cython==0.29.25 +xlrd==2.0.1 +numpy==1.21.2 +scipy==1.7.3 scikit_learn==1.0.2 diff --git a/tests/test_model.py b/tests/test_model.py index e0c4cd7..7d74a59 100644 --- a/tests/test_model.py +++ b/tests/test_model.py @@ -51,6 +51,7 @@ def do_test(self, *args, **kwargs): with warnings.catch_warnings(): warnings.simplefilter("ignore") test_func(self, *args, **kwargs) + return do_test @@ -63,21 +64,17 @@ def setUp(self): def test_known_equation(self): """GLMNet: Test a known equation""" df_ip = pd.read_csv(path + "test_glmnet.csv") - mod = GLMNet(df=df_ip, - y_var="y", - x_var=["x1", "x2", "x3"]) + mod = GLMNet(df=df_ip, y_var="y", x_var=["x1", "x2", "x3"]) op = mod.opt - self.assertEqual(np.round(op.get('intercept'), 0), 100.0) - self.assertEqual(np.round(op.get('coef')[0], 0), 2.0) - self.assertEqual(np.round(op.get('coef')[1], 0), 3.0) - self.assertEqual(np.round(op.get('coef')[2], 0), 0.0) + self.assertEqual(np.round(op.get("intercept"), 0), 100.0) + self.assertEqual(np.round(op.get("coef")[0], 0), 2.0) + self.assertEqual(np.round(op.get("coef")[1], 0), 3.0) + self.assertEqual(np.round(op.get("coef")[2], 0), 0.0) def test_predict_target_variable(self): """GLMNet: Test to predict a target variable""" df_ip = pd.read_csv(path + "test_glmnet.csv") - mod = GLMNet(df=df_ip, - y_var="y", - x_var=["x1", "x2", "x3"]) + mod = GLMNet(df=df_ip, y_var="y", x_var=["x1", "x2", "x3"]) df_predict = pd.DataFrame({"x1": [10, 20], "x2": [5, 10], "x3": [100, 0]}) @@ -91,5 +88,5 @@ def test_predict_target_variable(self): # --- Main # ============================================================================= -if __name__ == '__main__': +if __name__ == "__main__": unittest.main() From 6e07e2ff5efda49c1ba9141a48b28c338d66b50b Mon Sep 17 00:00:00 2001 From: Diptesh Date: Sat, 15 Jan 2022 23:30:34 +0530 Subject: [PATCH 114/116] v0.4.1 --- README.md | 9 +++++++++ logs/pylint/lib-knn-py.out | 8 ++++---- mllib/lib/knn.py | 7 +++---- mllib/lib/opt.py | 4 ++-- requirements.txt | 14 +++++++------- 5 files changed, 25 insertions(+), 17 deletions(-) diff --git a/README.md b/README.md index a5495db..2ec71aa 100644 --- a/README.md +++ b/README.md @@ -13,6 +13,15 @@ 1. [Contribution guidelines](./.github/CONTRIBUTING.md) 1. [Project documents](./docs) 1. [Approach](./docs/Approach.pdf) +1. [Available modules](./mllib/lib) + 1. [Clustering](./mllib/lib/cluster.py) - determines optimal _k_ + 1. [GLMNet](./mllib/lib/model.py) - classification/regression + 1. [k-nearest neighbours](./mllib/lib/knn.py) - classification/regression + 1. [Random forest](./mllib/lib/tree.py) - classification/timeseries/regression + 1. [XGBoost](./mllib/lib/tree.py) - classification/timeseries/regression + 1. [Traveling salesman problem](./mllib/lib/opt.py) - integer programming/heuristic + 1. [Transportation problem](./mllib/lib/opt.py) - integer programming + 1. [Time series](./mllib/lib/timeseries.py) 1. [Pull request guidelines](./.github/PULL_REQUEST_TEMPLATE.md) 1. [Initial setup](./README.md#initial-setup) 1. [Unit tests](./README.md#run-unit-tests-and-pylint-ratings) diff --git a/logs/pylint/lib-knn-py.out b/logs/pylint/lib-knn-py.out index aa65186..c77bfb1 100644 --- a/logs/pylint/lib-knn-py.out +++ b/logs/pylint/lib-knn-py.out @@ -1,8 +1,8 @@ ************* Module knn -knn.py:176:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -knn.py:177:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -knn.py:178:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -knn.py:179:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:175:45: I1101: Module 'metrics' has no 'rsq' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:176:45: I1101: Module 'metrics' has no 'mae' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:177:46: I1101: Module 'metrics' has no 'mape' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) +knn.py:178:46: I1101: Module 'metrics' has no 'rmse' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member) -------------------------------------------------------------------- Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00) diff --git a/mllib/lib/knn.py b/mllib/lib/knn.py index 7483e22..320c1e9 100644 --- a/mllib/lib/knn.py +++ b/mllib/lib/knn.py @@ -3,7 +3,7 @@ **Available routines:** -- class ``KNN``: Builds K-Nearest Neighnour model using cross validation. +- class ``KNN``: Builds K-Nearest Neighbours model using cross validation. Credits ------- @@ -123,7 +123,7 @@ def __init__(self, self.model = None self.k_fold = k_fold if param is None: - max_k = max(int(len(self.df)/(self.k_fold * 2)), 1) + max_k = max(int(len(self.df) / (self.k_fold * 2)), 1) param = {"n_neighbors": list(range(1, max_k, 2)), "weights": ["uniform", "distance"], "metric": ["euclidean", "manhattan"]} @@ -163,8 +163,7 @@ def _fit(self) -> Dict[str, Any]: return_train_score=True, cv=self.k_fold, n_jobs=-1) - gs_op = gs.fit(self.df[self.x_var], - self.df[self.y_var]) + gs_op = gs.fit(self.df[self.x_var], self.df[self.y_var]) self.model = gs_op return gs_op.best_params_ diff --git a/mllib/lib/opt.py b/mllib/lib/opt.py index fe529bd..6db5756 100644 --- a/mllib/lib/opt.py +++ b/mllib/lib/opt.py @@ -46,9 +46,9 @@ class TSP: """ - Travelling salesman problem. + Traveling salesman problem. - Module for `Travelling salesman problem + Module for `Traveling salesman problem `_ using integer programming or nearest neighbour algorithm. diff --git a/requirements.txt b/requirements.txt index 2ca5a5c..c0b40be 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,10 +1,10 @@ -pandas==1.3.5 -pmdarima==1.8.0 -PuLP==1.6.8 -xgboost==1.5.0 -statsmodels==0.13.0 Cython==0.29.25 -xlrd==2.0.1 -numpy==1.21.2 scipy==1.7.3 +xgboost==1.5.0 +numpy==1.21.2 +pmdarima==1.8.0 +xlrd==2.0.1 +pandas==1.3.5 +statsmodels==0.13.0 +PuLP==1.6.8 scikit_learn==1.0.2 From 9259f400a85e1d14521b7e233e82dca3640f1507 Mon Sep 17 00:00:00 2001 From: Diptesh Date: Sat, 15 Jan 2022 23:48:22 +0530 Subject: [PATCH 115/116] v0.4.1 changelog: - updated pmdarima to 1.8.1 --- requirements.txt | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/requirements.txt b/requirements.txt index c0b40be..11e9c38 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,10 +1,10 @@ Cython==0.29.25 -scipy==1.7.3 -xgboost==1.5.0 -numpy==1.21.2 -pmdarima==1.8.0 -xlrd==2.0.1 +PuLP==1.6.8 pandas==1.3.5 statsmodels==0.13.0 -PuLP==1.6.8 +xlrd==2.0.1 +xgboost==1.5.0 +pmdarima==1.8.1 +scipy==1.7.3 +numpy==1.21.2 scikit_learn==1.0.2 From 66c9e51f2316c9b56142e37cc564e343c2134b55 Mon Sep 17 00:00:00 2001 From: Diptesh Date: Sun, 16 Jan 2022 00:02:29 +0530 Subject: [PATCH 116/116] v0.4.1 changelog: - added openpyxl engine --- requirements.txt | 11 ++++++----- tests/test_timeseries.py | 3 ++- tests/test_tree.py | 4 ++++ 3 files changed, 12 insertions(+), 6 deletions(-) diff --git a/requirements.txt b/requirements.txt index 11e9c38..ee3b7f6 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,10 +1,11 @@ -Cython==0.29.25 PuLP==1.6.8 -pandas==1.3.5 -statsmodels==0.13.0 -xlrd==2.0.1 xgboost==1.5.0 +statsmodels==0.13.0 +openpyxl==3.0.9 +pandas==1.3.5 +numpy==1.21.2 +Cython==0.29.25 pmdarima==1.8.1 +xlrd==2.0.1 scipy==1.7.3 -numpy==1.21.2 scikit_learn==1.0.2 diff --git a/tests/test_timeseries.py b/tests/test_timeseries.py index c8f2c0b..886d973 100644 --- a/tests/test_timeseries.py +++ b/tests/test_timeseries.py @@ -25,6 +25,7 @@ import pandas as pd import xlrd +import openpyxl # Set base path path = abspath(getsourcefile(lambda: 0)) @@ -34,7 +35,7 @@ from mllib.lib.timeseries import AutoArima # noqa: F841 -__all__ = ["xlrd", ] +__all__ = ["xlrd", "openpyxl", ] # ============================================================================= # --- DO NOT CHANGE ANYTHING FROM HERE diff --git a/tests/test_tree.py b/tests/test_tree.py index d049730..7a80cd7 100644 --- a/tests/test_tree.py +++ b/tests/test_tree.py @@ -24,6 +24,8 @@ from os.path import abspath import pandas as pd +import xlrd +import openpyxl from sklearn.model_selection import train_test_split as split from sklearn import metrics as sk_metrics @@ -37,6 +39,8 @@ from mllib.lib.tree import RandomForest # noqa: F841 from mllib.lib.tree import XGBoost # noqa: F841 +__all__ = ["xlrd", "openpyxl", ] + # ============================================================================= # --- DO NOT CHANGE ANYTHING FROM HERE # =============================================================================

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