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* rho * x_Area * v**2) / (2 * m) accel_x = effect_of_drag * math.cos(theta) accel_z = effect_of_drag * math.sin(theta) + g @@ -59,14 +49,11 @@ def calc_distances() -> list[tuple[float, float, float]]: v = math.sqrt(v_x**2 + v_z**2) theta = math.atan(v_z / v_x) - if z < 0: # exit condition if the ball never goes about z_target - missed = True - - if hit: - result.append((x, math.degrees(theta_i), vi)) - + if math.isclose(z, target_z, rel_tol=0.01): + result.append((x, math.degrees(theta_i), vi)) + result = sorted(result, key=lambda x: (x[2], x[0])) return result From 184c4b2f7ae9fcd6e7083154811689bb9419cb59 Mon Sep 17 00:00:00 2001 From: Saqib Rokadia Date: Sun, 8 Feb 2026 13:01:16 -0800 Subject: [PATCH 2/4] Adding a deltas calc to confirm a proportionality between the trajectories and the differnce in angles. --- ALt-Trajectories/deltas.json | 12368 +++ ALt-Trajectories/deltascalc.py | 51 + ALt-Trajectories/trajectories.json | 107115 ++++++++++++++++++++------ 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"proportion": -0.4000000000000231, + "veocity": 11.9, + "current_theta": 86.2, + "previous_distance": 1.4, + "distance": 1.44 + }, + { + "delta_distance": 0.040000000000000036, + "delta_theta": -0.20000000000000284, + "proportion": -0.19999999999999735, + "veocity": 11.9, + "current_theta": 86.1, + "previous_distance": 1.44, + "distance": 1.48 + } +] diff --git a/ALt-Trajectories/deltascalc.py b/ALt-Trajectories/deltascalc.py new file mode 100644 index 0000000..a146de0 --- /dev/null +++ b/ALt-Trajectories/deltascalc.py @@ -0,0 +1,51 @@ +import json +import math +import os +from pathlib import Path + + +def calc_deltas(trajectories): + sorted_trajectories = sorted( + trajectories, key=lambda x: (x["velocity"], x["distance"]) + ) + deltas = [] + prev_theta = 0 + prev_x = 0 + prev_vel = 0 + for val in sorted_trajectories: + if prev_vel != val["velocity"]: + prev_vel = val["velocity"] + prev_theta = val["theta"] + prev_x = val["distance"] + continue + + if math.isclose(prev_x + 0.01, val["distance"], rel_tol=0.02): + prev_x = val["distance"] + prev_theta = val["theta"] + continue + + delta_distance = val["distance"] - prev_x + delta_theta = val["theta"] - prev_theta + delta = { + "delta_distance": delta_distance, + "delta_theta": delta_theta, + "proportion": delta_distance / delta_theta, + "veocity": val["velocity"], + "current_theta": val["theta"], + "previous_distance": prev_x, + "distance": val["distance"], + } + prev_x = val["distance"] + deltas.append(delta) + + return deltas + + +directory = Path(__file__).parent +with open(os.path.join(directory, "trajectories.json"), "r") as t: + trajectories = json.load(t) + +deltas = calc_deltas(trajectories) + +with open(os.path.join(directory, "deltas.json"), "w") as file: + file.write(json.dumps(deltas, indent=2)) diff --git a/ALt-Trajectories/trajectories.json b/ALt-Trajectories/trajectories.json index 46a8ce8..3b849bc 100644 --- a/ALt-Trajectories/trajectories.json +++ b/ALt-Trajectories/trajectories.json @@ -16,7 +16,7 @@ }, { "distance": 0.04, - "theta": 89.5, + "theta": 89.6, "velocity": 6.0 }, { @@ -51,12 +51,12 @@ }, { "distance": 0.11, - "theta": 88.7, + "theta": 88.8, "velocity": 6.0 }, { "distance": 0.12, - "theta": 88.6, + "theta": 88.7, "velocity": 6.0 }, { @@ -86,12 +86,12 @@ }, { "distance": 0.18, - "theta": 87.9, + "theta": 88.0, "velocity": 6.0 }, { "distance": 0.19, - "theta": 87.8, + "theta": 87.9, "velocity": 6.0 }, { @@ -121,17 +121,17 @@ }, { "distance": 0.25, - "theta": 87.1, + "theta": 87.2, "velocity": 6.0 }, { "distance": 0.26, - "theta": 87.0, + "theta": 87.1, "velocity": 6.0 }, { "distance": 0.27, - "theta": 86.9, + "theta": 87.0, "velocity": 6.0 }, { @@ -151,17 +151,17 @@ }, { "distance": 0.31, - "theta": 86.4, + "theta": 86.5, "velocity": 6.0 }, { "distance": 0.32, - "theta": 86.3, + "theta": 86.4, "velocity": 6.0 }, { "distance": 0.33, - "theta": 86.2, + "theta": 86.3, "velocity": 6.0 }, { @@ -169,429 +169,644 @@ "theta": 86.1, "velocity": 6.0 }, + { + "distance": 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ede54c6..bcd7c51 100644 --- a/ALt-Trajectories/trajectorycalc.py +++ b/ALt-Trajectories/trajectorycalc.py @@ -16,7 +16,7 @@ x_goal = 6.12 # m the max distance is 6.12m Cd = 0.47 # drag coeff sphere in 10^4 - 10^5 reynolds num g = -9.81 # m/s^2 -dt = 0.01 +dt = 0.001 def calc_distances() -> list[tuple[float, float, float]]: @@ -50,7 +50,7 @@ def calc_distances() -> list[tuple[float, float, float]]: v = math.sqrt(v_x**2 + v_z**2) theta = math.atan(v_z / v_x) - if math.isclose(z, target_z, rel_tol=0.01): + if math.isclose(z, target_z, rel_tol=0.05): result.append((x, math.degrees(theta_i), vi)) result = sorted(result, key=lambda x: (x[2], x[0])) @@ -71,11 +71,11 @@ def create_distance_map(): result["velocity"] = vi grouped[(rounded_distance, vi)] = result - results = [val for val in grouped.values()] return results directory = Path(__file__).parent +trajectories = create_distance_map() with open(os.path.join(directory, "trajectories.json"), "w") as file: - file.write(json.dumps(create_distance_map(), indent=2)) + file.write(json.dumps(trajectories, indent=2)) From d3c0fae53e7754dd0290ca7dcd50687f8c35fc37 Mon Sep 17 00:00:00 2001 From: Saqib Rokadia Date: Mon, 9 Feb 2026 15:26:02 -0800 Subject: [PATCH 3/4] Fixing not setting prev theta when a delta is recorded. --- ALt-Trajectories/deltas.json | 4058 ++++++++++++++++---------------- ALt-Trajectories/deltascalc.py | 41 +- 2 files changed, 2047 insertions(+), 2052 deletions(-) diff --git a/ALt-Trajectories/deltas.json b/ALt-Trajectories/deltas.json index e98a7de..23cfe1e 100644 --- a/ALt-Trajectories/deltas.json +++ b/ALt-Trajectories/deltas.json @@ -1027,8 +1027,8 @@ }, { "delta_distance": 0.01999999999999999, - "delta_theta": -0.20000000000000284, - "proportion": -0.09999999999999853, + "delta_theta": -0.09999999999999432, + "proportion": -0.20000000000001128, "veocity": 7.5, "current_theta": 89.0, "previous_distance": 0.14, @@ -1081,8 +1081,8 @@ }, { "delta_distance": 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"delta_theta": -0.09999999999999432, + "proportion": -0.20000000000001128, "veocity": 7.8, "current_theta": 88.9, "previous_distance": 0.17, @@ -1522,8 +1522,8 @@ }, { "delta_distance": 0.01999999999999999, - "delta_theta": -0.20000000000000284, - "proportion": -0.09999999999999853, + "delta_theta": -0.10000000000000853, + "proportion": -0.19999999999998286, "veocity": 7.8, "current_theta": 88.6, "previous_distance": 0.22, @@ -1540,8 +1540,8 @@ }, { "delta_distance": 0.019999999999999962, - "delta_theta": -0.20000000000000284, - "proportion": -0.0999999999999984, + "delta_theta": -0.10000000000000853, + "proportion": -0.19999999999998258, "veocity": 7.8, "current_theta": 88.3, "previous_distance": 0.27, @@ -1558,8 +1558,8 @@ }, { "delta_distance": 0.020000000000000018, - "delta_theta": -0.20000000000000284, - "proportion": -0.09999999999999867, + "delta_theta": -0.09999999999999432, + "proportion": -0.20000000000001156, "veocity": 7.8, "current_theta": 88.0, "previous_distance": 0.32, @@ -1576,8 +1576,8 @@ }, { "delta_distance": 0.020000000000000018, - "delta_theta": -0.20000000000000284, - "proportion": -0.09999999999999867, + "delta_theta": -0.09999999999999432, + "proportion": -0.20000000000001156, "veocity": 7.8, "current_theta": 87.7, "previous_distance": 0.37, @@ -1594,8 +1594,8 @@ }, { "delta_distance": 0.020000000000000018, - "delta_theta": -0.19999999999998863, - "proportion": -0.10000000000000578, + "delta_theta": -0.09999999999999432, + "proportion": -0.20000000000001156, "veocity": 7.8, "current_theta": 87.4, "previous_distance": 0.42, @@ -1603,8 +1603,8 @@ }, { "delta_distance": 0.020000000000000018, - "delta_theta": -0.29999999999999716, - "proportion": -0.06666666666666736, + "delta_theta": -0.10000000000000853, + "proportion": -0.19999999999998314, "veocity": 7.8, "current_theta": 87.3, "previous_distance": 0.44, @@ -1630,8 +1630,8 @@ }, { "delta_distance": 0.020000000000000004, - "delta_theta": -0.20000000000000284, - "proportion": 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@@ -8740,8 +8740,8 @@ }, { "delta_distance": 0.03, - "delta_theta": -0.6000000000000085, - "proportion": -0.04999999999999929, + "delta_theta": -0.10000000000000853, + "proportion": -0.2999999999999744, "veocity": 10.8, "current_theta": 89.3, "previous_distance": 0.19, @@ -8749,8 +8749,8 @@ }, { "delta_distance": 0.04000000000000001, - "delta_theta": -0.7000000000000028, - "proportion": -0.05714285714285692, + "delta_theta": -0.09999999999999432, + "proportion": -0.40000000000002284, "veocity": 10.8, "current_theta": 89.2, "previous_distance": 0.22, @@ -8758,8 +8758,8 @@ }, { "delta_distance": 0.02999999999999997, - "delta_theta": -0.8000000000000114, - "proportion": -0.03749999999999943, + "delta_theta": -0.10000000000000853, + "proportion": -0.2999999999999741, "veocity": 10.8, "current_theta": 89.1, "previous_distance": 0.26, @@ -8767,8 +8767,8 @@ }, { "delta_distance": 0.030000000000000027, - "delta_theta": -0.9000000000000057, - "proportion": -0.03333333333333315, + "delta_theta": 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"delta_distance": 0.03, - "delta_theta": -0.20000000000000284, - "proportion": -0.14999999999999786, + "delta_theta": -0.09999999999999432, + "proportion": -0.30000000000001703, "veocity": 11.8, "current_theta": 89.7, "previous_distance": 0.08, @@ -11746,8 +11746,8 @@ }, { "delta_distance": 0.039999999999999994, - "delta_theta": -0.30000000000001137, - "proportion": -0.13333333333332825, + "delta_theta": -0.10000000000000853, + "proportion": -0.3999999999999658, "veocity": 11.8, "current_theta": 89.6, "previous_distance": 0.11, @@ -11755,8 +11755,8 @@ }, { "delta_distance": 0.04000000000000001, - "delta_theta": -0.4000000000000057, - "proportion": -0.0999999999999986, + "delta_theta": -0.09999999999999432, + "proportion": -0.40000000000002284, "veocity": 11.8, "current_theta": 89.5, "previous_distance": 0.15, @@ -11764,8 +11764,8 @@ }, { "delta_distance": 0.04000000000000001, - "delta_theta": -0.5, - "proportion": -0.08000000000000002, + "delta_theta": -0.09999999999999432, + "proportion": -0.40000000000002284, "veocity": 11.8, "current_theta": 89.4, "previous_distance": 0.19, @@ -11773,8 +11773,8 @@ }, { "delta_distance": 0.03, - "delta_theta": -0.6000000000000085, - "proportion": -0.04999999999999929, + "delta_theta": -0.10000000000000853, + "proportion": -0.2999999999999744, "veocity": 11.8, "current_theta": 89.3, "previous_distance": 0.23, @@ -11782,8 +11782,8 @@ }, { "delta_distance": 0.03999999999999998, - "delta_theta": -0.7000000000000028, - "proportion": -0.057142857142856884, + "delta_theta": -0.09999999999999432, + "proportion": -0.40000000000002256, "veocity": 11.8, "current_theta": 89.2, "previous_distance": 0.26, @@ -11791,8 +11791,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -0.8000000000000114, - "proportion": -0.04999999999999934, + "delta_theta": -0.10000000000000853, + "proportion": -0.39999999999996627, "veocity": 11.8, "current_theta": 89.1, "previous_distance": 0.3, @@ -11800,8 +11800,8 @@ }, { "delta_distance": 0.03999999999999998, - "delta_theta": -0.9000000000000057, - "proportion": -0.04444444444444414, + "delta_theta": -0.09999999999999432, + "proportion": -0.40000000000002256, "veocity": 11.8, "current_theta": 89.0, "previous_distance": 0.34, @@ -11809,8 +11809,8 @@ }, { "delta_distance": 0.02999999999999997, - "delta_theta": -1.0, - "proportion": -0.02999999999999997, + "delta_theta": -0.09999999999999432, + "proportion": -0.30000000000001675, "veocity": 11.8, "current_theta": 88.9, "previous_distance": 0.38, @@ -11818,8 +11818,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -1.1000000000000085, - "proportion": -0.03636363636363611, + "delta_theta": -0.10000000000000853, + "proportion": -0.39999999999996627, "veocity": 11.8, "current_theta": 88.8, "previous_distance": 0.41, @@ -11827,8 +11827,8 @@ }, { "delta_distance": 0.03999999999999998, - "delta_theta": -1.2000000000000028, - "proportion": -0.033333333333333236, + "delta_theta": -0.09999999999999432, + "proportion": -0.40000000000002256, "veocity": 11.8, "current_theta": 88.7, "previous_distance": 0.45, @@ -11836,8 +11836,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -1.3000000000000114, - "proportion": -0.030769230769230528, + "delta_theta": -0.10000000000000853, + "proportion": -0.39999999999996627, "veocity": 11.8, "current_theta": 88.6, "previous_distance": 0.49, @@ -11845,8 +11845,8 @@ }, { "delta_distance": 0.030000000000000027, - "delta_theta": -1.4000000000000057, - "proportion": -0.02142857142857136, + "delta_theta": -0.09999999999999432, + "proportion": -0.3000000000000173, "veocity": 11.8, "current_theta": 88.5, "previous_distance": 0.53, @@ -11854,8 +11854,8 @@ }, { "delta_distance": 0.039999999999999925, - "delta_theta": -1.5, - "proportion": -0.026666666666666616, + "delta_theta": -0.09999999999999432, + "proportion": -0.400000000000022, "veocity": 11.8, "current_theta": 88.4, "previous_distance": 0.56, @@ -11863,8 +11863,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -1.6000000000000085, - "proportion": -0.02499999999999989, + "delta_theta": -0.10000000000000853, + "proportion": -0.39999999999996627, "veocity": 11.8, "current_theta": 88.3, "previous_distance": 0.6, @@ -11872,8 +11872,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -1.7000000000000028, - "proportion": -0.023529411764705865, + "delta_theta": -0.09999999999999432, + "proportion": -0.4000000000000231, "veocity": 11.8, "current_theta": 88.2, "previous_distance": 0.64, @@ -11881,8 +11881,8 @@ }, { "delta_distance": 0.029999999999999916, - "delta_theta": -1.8000000000000114, - "proportion": -0.016666666666666514, + "delta_theta": -0.10000000000000853, + "proportion": -0.29999999999997357, "veocity": 11.8, "current_theta": 88.1, "previous_distance": 0.68, @@ -11890,8 +11890,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -1.9000000000000057, - "proportion": -0.021052631578947323, + "delta_theta": -0.09999999999999432, + "proportion": -0.4000000000000231, "veocity": 11.8, "current_theta": 88.0, "previous_distance": 0.71, @@ -11899,8 +11899,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -2.0, - "proportion": -0.020000000000000018, + "delta_theta": -0.09999999999999432, + "proportion": -0.4000000000000231, "veocity": 11.8, "current_theta": 87.9, "previous_distance": 0.75, @@ -11908,8 +11908,8 @@ }, { "delta_distance": 0.039999999999999925, - "delta_theta": -2.1000000000000085, - "proportion": -0.019047619047618935, + "delta_theta": -0.10000000000000853, + "proportion": -0.39999999999996516, "veocity": 11.8, "current_theta": 87.8, "previous_distance": 0.79, @@ -11917,8 +11917,8 @@ }, { "delta_distance": 0.030000000000000027, - "delta_theta": -2.200000000000003, - "proportion": -0.01363636363636363, + "delta_theta": -0.09999999999999432, + "proportion": -0.3000000000000173, "veocity": 11.8, "current_theta": 87.7, "previous_distance": 0.83, @@ -11926,8 +11926,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -2.3000000000000114, - "proportion": -0.017391304347826018, + "delta_theta": -0.10000000000000853, + "proportion": -0.39999999999996627, "veocity": 11.8, "current_theta": 87.6, "previous_distance": 0.86, @@ -11935,8 +11935,8 @@ }, { "delta_distance": 0.039999999999999925, - "delta_theta": -2.4000000000000057, - "proportion": -0.016666666666666597, + "delta_theta": -0.09999999999999432, + "proportion": -0.400000000000022, "veocity": 11.8, "current_theta": 87.5, "previous_distance": 0.9, @@ -11944,8 +11944,8 @@ }, { "delta_distance": 0.030000000000000027, - "delta_theta": -2.5, - "proportion": -0.01200000000000001, + "delta_theta": -0.09999999999999432, + "proportion": -0.3000000000000173, "veocity": 11.8, "current_theta": 87.4, "previous_distance": 0.94, @@ -11953,8 +11953,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -2.6000000000000085, - "proportion": -0.015384615384615347, + "delta_theta": -0.10000000000000853, + "proportion": -0.39999999999996627, "veocity": 11.8, "current_theta": 87.3, "previous_distance": 0.97, @@ -11962,8 +11962,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -2.700000000000003, - "proportion": -0.014814814814814812, + "delta_theta": -0.09999999999999432, + "proportion": -0.4000000000000231, "veocity": 11.8, "current_theta": 87.2, "previous_distance": 1.01, @@ -11971,8 +11971,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -2.8000000000000114, - "proportion": -0.01428571428571424, + "delta_theta": -0.10000000000000853, + "proportion": -0.39999999999996627, "veocity": 11.8, "current_theta": 87.1, "previous_distance": 1.05, @@ -11989,8 +11989,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -0.20000000000000284, - "proportion": -0.19999999999999735, + "delta_theta": -0.10000000000000853, + "proportion": -0.39999999999996627, "veocity": 11.8, "current_theta": 86.8, "previous_distance": 1.16, @@ -11998,8 +11998,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -0.29999999999999716, - "proportion": -0.13333333333333472, + "delta_theta": -0.09999999999999432, + "proportion": -0.4000000000000231, "veocity": 11.8, "current_theta": 86.7, "previous_distance": 1.2, @@ -12016,8 +12016,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -0.19999999999998863, - "proportion": -0.20000000000001156, + "delta_theta": -0.09999999999999432, + "proportion": -0.4000000000000231, "veocity": 11.8, "current_theta": 86.4, "previous_distance": 1.31, @@ -12034,8 +12034,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -0.20000000000000284, - "proportion": -0.19999999999999735, + "delta_theta": -0.10000000000000853, + "proportion": -0.39999999999996627, "veocity": 11.8, "current_theta": 86.1, "previous_distance": 1.42, @@ -12043,8 +12043,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -0.29999999999999716, - "proportion": -0.13333333333333472, + "delta_theta": -0.09999999999999432, + "proportion": -0.4000000000000231, "veocity": 11.8, "current_theta": 86.0, "previous_distance": 1.46, @@ -12061,8 +12061,8 @@ }, { "delta_distance": 0.03, - "delta_theta": -0.20000000000000284, - "proportion": -0.14999999999999786, + "delta_theta": -0.09999999999999432, + "proportion": -0.30000000000001703, "veocity": 11.9, "current_theta": 89.7, "previous_distance": 0.08, @@ -12070,8 +12070,8 @@ }, { "delta_distance": 0.039999999999999994, - "delta_theta": -0.30000000000001137, - "proportion": -0.13333333333332825, + "delta_theta": -0.10000000000000853, + "proportion": -0.3999999999999658, "veocity": 11.9, "current_theta": 89.6, "previous_distance": 0.11, @@ -12079,8 +12079,8 @@ }, { "delta_distance": 0.04000000000000001, - "delta_theta": -0.4000000000000057, - "proportion": -0.0999999999999986, + "delta_theta": -0.09999999999999432, + "proportion": -0.40000000000002284, "veocity": 11.9, "current_theta": 89.5, "previous_distance": 0.15, @@ -12088,8 +12088,8 @@ }, { "delta_distance": 0.04000000000000001, - "delta_theta": -0.5, - "proportion": -0.08000000000000002, + "delta_theta": -0.09999999999999432, + "proportion": -0.40000000000002284, "veocity": 11.9, "current_theta": 89.4, "previous_distance": 0.19, @@ -12097,8 +12097,8 @@ }, { "delta_distance": 0.04000000000000001, - "delta_theta": -0.6000000000000085, - "proportion": -0.06666666666666574, + "delta_theta": -0.10000000000000853, + "proportion": -0.399999999999966, "veocity": 11.9, "current_theta": 89.3, "previous_distance": 0.23, @@ -12106,8 +12106,8 @@ }, { "delta_distance": 0.02999999999999997, - "delta_theta": -0.7000000000000028, - "proportion": -0.04285714285714264, + "delta_theta": -0.09999999999999432, + "proportion": -0.30000000000001675, "veocity": 11.9, "current_theta": 89.2, "previous_distance": 0.27, @@ -12115,8 +12115,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -0.8000000000000114, - "proportion": -0.04999999999999934, + "delta_theta": -0.10000000000000853, + "proportion": -0.39999999999996627, "veocity": 11.9, "current_theta": 89.1, "previous_distance": 0.3, @@ -12124,8 +12124,8 @@ }, { "delta_distance": 0.03999999999999998, - "delta_theta": -0.9000000000000057, - "proportion": -0.04444444444444414, + "delta_theta": -0.09999999999999432, + "proportion": -0.40000000000002256, "veocity": 11.9, "current_theta": 89.0, "previous_distance": 0.34, @@ -12133,8 +12133,8 @@ }, { "delta_distance": 0.03999999999999998, - "delta_theta": -1.0, - "proportion": -0.03999999999999998, + "delta_theta": -0.09999999999999432, + "proportion": -0.40000000000002256, "veocity": 11.9, "current_theta": 88.9, "previous_distance": 0.38, @@ -12142,8 +12142,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -1.1000000000000085, - "proportion": -0.03636363636363611, + "delta_theta": -0.10000000000000853, + "proportion": -0.39999999999996627, "veocity": 11.9, "current_theta": 88.8, "previous_distance": 0.42, @@ -12151,8 +12151,8 @@ }, { "delta_distance": 0.03999999999999998, - "delta_theta": -1.2000000000000028, - "proportion": -0.033333333333333236, + "delta_theta": -0.09999999999999432, + "proportion": -0.40000000000002256, "veocity": 11.9, "current_theta": 88.7, "previous_distance": 0.46, @@ -12160,8 +12160,8 @@ }, { "delta_distance": 0.030000000000000027, - "delta_theta": -1.3000000000000114, - "proportion": -0.023076923076922894, + "delta_theta": -0.10000000000000853, + "proportion": -0.2999999999999747, "veocity": 11.9, "current_theta": 88.6, "previous_distance": 0.5, @@ -12169,8 +12169,8 @@ }, { "delta_distance": 0.039999999999999925, - "delta_theta": -1.4000000000000057, - "proportion": -0.0285714285714284, + "delta_theta": -0.09999999999999432, + "proportion": -0.400000000000022, "veocity": 11.9, "current_theta": 88.5, "previous_distance": 0.53, @@ -12178,8 +12178,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -1.5, - "proportion": -0.02666666666666669, + "delta_theta": -0.09999999999999432, + "proportion": -0.4000000000000231, "veocity": 11.9, "current_theta": 88.4, "previous_distance": 0.57, @@ -12187,8 +12187,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -1.6000000000000085, - "proportion": -0.02499999999999989, + "delta_theta": -0.10000000000000853, + "proportion": -0.39999999999996627, "veocity": 11.9, "current_theta": 88.3, "previous_distance": 0.61, @@ -12196,8 +12196,8 @@ }, { "delta_distance": 0.039999999999999925, - "delta_theta": -1.7000000000000028, - "proportion": -0.0235294117647058, + "delta_theta": -0.09999999999999432, + "proportion": -0.400000000000022, "veocity": 11.9, "current_theta": 88.2, "previous_distance": 0.65, @@ -12205,8 +12205,8 @@ }, { "delta_distance": 0.030000000000000027, - "delta_theta": -1.8000000000000114, - "proportion": -0.016666666666666576, + "delta_theta": -0.10000000000000853, + "proportion": -0.2999999999999747, "veocity": 11.9, "current_theta": 88.1, "previous_distance": 0.69, @@ -12214,8 +12214,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -1.9000000000000057, - "proportion": -0.021052631578947323, + "delta_theta": -0.09999999999999432, + "proportion": -0.4000000000000231, "veocity": 11.9, "current_theta": 88.0, "previous_distance": 0.72, @@ -12223,8 +12223,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -2.0, - "proportion": -0.020000000000000018, + "delta_theta": -0.09999999999999432, + "proportion": -0.4000000000000231, "veocity": 11.9, "current_theta": 87.9, "previous_distance": 0.76, @@ -12232,8 +12232,8 @@ }, { "delta_distance": 0.039999999999999925, - "delta_theta": -2.1000000000000085, - "proportion": -0.019047619047618935, + "delta_theta": -0.10000000000000853, + "proportion": -0.39999999999996516, "veocity": 11.9, "current_theta": 87.8, "previous_distance": 0.8, @@ -12241,8 +12241,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -2.200000000000003, - "proportion": -0.018181818181818174, + "delta_theta": -0.09999999999999432, + "proportion": -0.4000000000000231, "veocity": 11.9, "current_theta": 87.7, "previous_distance": 0.84, @@ -12250,8 +12250,8 @@ }, { "delta_distance": 0.030000000000000027, - "delta_theta": -2.3000000000000114, - "proportion": -0.013043478260869512, + "delta_theta": -0.10000000000000853, + "proportion": -0.2999999999999747, "veocity": 11.9, "current_theta": 87.6, "previous_distance": 0.88, @@ -12259,8 +12259,8 @@ }, { "delta_distance": 0.039999999999999925, - "delta_theta": -2.4000000000000057, - "proportion": -0.016666666666666597, + "delta_theta": -0.09999999999999432, + "proportion": -0.400000000000022, "veocity": 11.9, "current_theta": 87.5, "previous_distance": 0.91, @@ -12268,8 +12268,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -2.5, - "proportion": -0.016000000000000014, + "delta_theta": -0.09999999999999432, + "proportion": -0.4000000000000231, "veocity": 11.9, "current_theta": 87.4, "previous_distance": 0.95, @@ -12277,8 +12277,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -2.6000000000000085, - "proportion": -0.015384615384615347, + "delta_theta": -0.10000000000000853, + "proportion": -0.39999999999996627, "veocity": 11.9, "current_theta": 87.3, "previous_distance": 0.99, @@ -12295,8 +12295,8 @@ }, { "delta_distance": 0.039999999999999813, - "delta_theta": -0.20000000000000284, - "proportion": -0.19999999999999624, + "delta_theta": -0.09999999999999432, + "proportion": -0.4000000000000209, "veocity": 11.9, "current_theta": 87.0, "previous_distance": 1.1, @@ -12304,8 +12304,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -0.29999999999999716, - "proportion": -0.13333333333333472, + "delta_theta": -0.09999999999999432, + "proportion": -0.4000000000000231, "veocity": 11.9, "current_theta": 86.9, "previous_distance": 1.14, @@ -12313,8 +12313,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -0.4000000000000057, - "proportion": -0.09999999999999867, + "delta_theta": -0.10000000000000853, + "proportion": -0.39999999999996627, "veocity": 11.9, "current_theta": 86.8, "previous_distance": 1.18, @@ -12331,8 +12331,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -0.20000000000000284, - "proportion": -0.19999999999999735, + "delta_theta": -0.09999999999999432, + "proportion": -0.4000000000000231, "veocity": 11.9, "current_theta": 86.5, "previous_distance": 1.29, @@ -12340,8 +12340,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -0.29999999999999716, - "proportion": -0.13333333333333472, + "delta_theta": -0.09999999999999432, + "proportion": -0.4000000000000231, "veocity": 11.9, "current_theta": 86.4, "previous_distance": 1.33, @@ -12358,8 +12358,8 @@ }, { "delta_distance": 0.040000000000000036, - "delta_theta": -0.20000000000000284, - "proportion": -0.19999999999999735, + "delta_theta": -0.10000000000000853, + "proportion": -0.39999999999996627, "veocity": 11.9, "current_theta": 86.1, "previous_distance": 1.44, diff --git a/ALt-Trajectories/deltascalc.py b/ALt-Trajectories/deltascalc.py index a146de0..63b6532 100644 --- a/ALt-Trajectories/deltascalc.py +++ b/ALt-Trajectories/deltascalc.py @@ -13,30 +13,25 @@ def calc_deltas(trajectories): prev_x = 0 prev_vel = 0 for val in sorted_trajectories: - if prev_vel != val["velocity"]: - prev_vel = val["velocity"] - prev_theta = val["theta"] - prev_x = val["distance"] - continue - - if math.isclose(prev_x + 0.01, val["distance"], rel_tol=0.02): - prev_x = val["distance"] - prev_theta = val["theta"] - continue - - delta_distance = val["distance"] - prev_x - delta_theta = val["theta"] - prev_theta - delta = { - "delta_distance": delta_distance, - "delta_theta": delta_theta, - "proportion": delta_distance / delta_theta, - "veocity": val["velocity"], - "current_theta": val["theta"], - "previous_distance": prev_x, - "distance": val["distance"], - } + if prev_vel == val["velocity"] and not math.isclose( + prev_x + 0.01, val["distance"], rel_tol=0.02 + ): + delta_distance = val["distance"] - prev_x + delta_theta = val["theta"] - prev_theta + delta = { + "delta_distance": delta_distance, + "delta_theta": delta_theta, + "proportion": delta_distance / delta_theta, + "veocity": val["velocity"], + "current_theta": val["theta"], + "previous_distance": prev_x, + "distance": val["distance"], + } + deltas.append(delta) + + prev_vel = val["velocity"] + prev_theta = val["theta"] prev_x = val["distance"] - deltas.append(delta) return deltas From 4fe61e3ce4ee486d20a82d9a9c16a6c7c1ed7a2a Mon Sep 17 00:00:00 2001 From: Saqib Rokadia Date: Sat, 21 Feb 2026 21:12:35 -0800 Subject: [PATCH 4/4] Adding gap filling. --- ALt-Trajectories/deltascalc.py | 40 + ALt-Trajectories/gap_filled.json | 114317 ++++++++++++++++++++++++++ ALt-Trajectories/trajectorycalc.py | 1 + 3 files changed, 114358 insertions(+) create mode 100644 ALt-Trajectories/gap_filled.json diff --git a/ALt-Trajectories/deltascalc.py b/ALt-Trajectories/deltascalc.py index 63b6532..cb2fb36 100644 --- a/ALt-Trajectories/deltascalc.py +++ b/ALt-Trajectories/deltascalc.py @@ -36,6 +36,41 @@ def calc_deltas(trajectories): return deltas +def gap_fill(trajectories): + sorted_trajectories = sorted( + trajectories, key=lambda x: (x["velocity"], x["distance"]) + ) + result = [] + prev_theta = 0 + prev_x = 0 + prev_vel = 0 + for val in sorted_trajectories: + if prev_vel == val["velocity"] and not math.isclose( + prev_x + 0.01, val["distance"], rel_tol=0.02 + ): + delta_distance = val["distance"] - prev_x + delta_theta = val["theta"] - prev_theta + proportion = delta_theta / delta_distance + for step_distance_cm in range( + int(prev_x * 100) + 1, int(val["distance"] * 100), 1 + ): + step_distance = float(step_distance_cm) / 100.0 + delta_distance = step_distance - prev_x + delta_theta = proportion * delta_distance + step_val = {} + step_val["distance"] = step_distance + step_val["theta"] = round(prev_theta + delta_theta, 1) + step_val["velocity"] = val["velocity"] + result.append(step_val) + + result.append(val) + prev_vel = val["velocity"] + prev_theta = val["theta"] + prev_x = val["distance"] + + return result + + directory = Path(__file__).parent with open(os.path.join(directory, "trajectories.json"), "r") as t: trajectories = json.load(t) @@ -44,3 +79,8 @@ def calc_deltas(trajectories): with open(os.path.join(directory, "deltas.json"), "w") as file: file.write(json.dumps(deltas, indent=2)) + +filled_gaps = gap_fill(trajectories) + +with open(os.path.join(directory, "gap_filled.json"), "w") as file: + file.write(json.dumps(filled_gaps, indent=2)) diff --git a/ALt-Trajectories/gap_filled.json b/ALt-Trajectories/gap_filled.json new file mode 100644 index 0000000..fe095e9 --- /dev/null +++ b/ALt-Trajectories/gap_filled.json @@ -0,0 +1,114317 @@ +[ + { + "distance": 0.01, + "theta": 89.9, + "velocity": 6.0 + }, + { + "distance": 0.02, + "theta": 89.8, + "velocity": 6.0 + 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