diff --git a/.github/workflows/isobench.yml b/.github/workflows/isobench.yml new file mode 100644 index 000000000..5c386b417 --- /dev/null +++ b/.github/workflows/isobench.yml @@ -0,0 +1,57 @@ +name: isolated benchmarks + +on: push + +jobs: + isobench: + name: 🏝️ Isolated Benchmarks + runs-on: ubuntu-latest + + container: + image: ghcr.io/n3pdf/bench-evol:latest + credentials: + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + + steps: + - uses: actions/checkout@v2 + with: + # tags needed for dynamic versioning + fetch-depth: 0 + - name: Install and configure Poetry + run: | + curl -sSL https://install.python-poetry.org | python3 - + # update path for this and the other steps + export PATH=$HOME/.local/bin:$PATH + echo "$HOME/.local/bin" >> $GITHUB_PATH + # prevent poetry environments + # in order to access container pre-installed packages + poetry config virtualenvs.create false + # log all configurations + poetry config --list + - name: Install version management tool + run: | + # same poetry env + PIP="$(head -n1 $(which poetry) | cut -c 3-) -m pip" + ${PIP} install poetry-dynamic-versioning + - name: Install project + run: | + poetry install --no-interaction -E mark -E box + - name: Install task runner + run: pip install poethepoet + - name: Lint with pylint + run: | + # Search for actual errors + poe lint + # For warnings instead return always zero + poe lint-warnings + - name: Test with pytest + run: | + poe bench-iso + - name: Upload coverage to Codecov + uses: codecov/codecov-action@v2 + with: + files: ./coverage.xml + flags: isobench + name: codecov-umbrella + fail_ci_if_error: true diff --git a/.github/workflows/unittests.yml b/.github/workflows/unittests.yml index 31b40145e..2145b76d7 100644 --- a/.github/workflows/unittests.yml +++ b/.github/workflows/unittests.yml @@ -1,9 +1,6 @@ name: tests -on: - push: - branches-ignore: - - "*docs*" +on: push jobs: py37: diff --git a/.pylintrc b/.pylintrc deleted file mode 100644 index 5d8db4e6d..000000000 --- a/.pylintrc +++ /dev/null @@ -1,504 +0,0 @@ -[MASTER] - -# A comma-separated list of package or module names from where C extensions may -# be loaded. Extensions are loading into the active Python interpreter and may -# run arbitrary code -extension-pkg-whitelist=numpy,lhapdf,numba - -# Add files or directories to the blacklist. They should be base names, not -# paths. -ignore=CVS - -# Add files or directories matching the regex patterns to the blacklist. The -# regex matches against base names, not paths. -ignore-patterns= - -# Python code to execute, usually for sys.path manipulation such as -# pygtk.require(). -#init-hook= - -# Use multiple processes to speed up Pylint. -jobs=1 # has to be 1 as pylint is NOT threadsafe - -# List of plugins (as comma separated values of python modules names) to load, -# usually to register additional checkers. -#load-plugins=pylint.extensions.mccabe -#max-complexity=20 - -# Pickle collected data for later comparisons. -persistent=yes - -# Specify a configuration file. -#rcfile= - -# Allow loading of arbitrary C extensions. Extensions are imported into the -# active Python interpreter and may run arbitrary code. -unsafe-load-any-extension=no - - -[MESSAGES CONTROL] - -# Only show warnings with the listed confidence levels. Leave empty to show -# all. Valid levels: HIGH, INFERENCE, INFERENCE_FAILURE, UNDEFINED -confidence= - -# Disable the message, report, category or checker with the given id(s). You -# can either give multiple identifiers separated by comma (,) or put this -# option multiple times (only on the command line, not in the configuration -# file where it should appear only once).You can also use "--disable=all" to -# disable everything first and then reenable specific checks. For example, if -# you want to run only the similarities checker, you can use "--disable=all -# --enable=similarities". If you want to run only the classes checker, but have -# no Warning level messages displayed, use"--disable=all --enable=classes -# --disable=W" -disable= - print-statement, - parameter-unpacking, - unpacking-in-except, - old-raise-syntax, - backtick, - long-suffix, - old-ne-operator, - old-octal-literal, - import-star-module-level, - raw-checker-failed, - bad-inline-option, - locally-disabled, - locally-enabled, - file-ignored, - suppressed-message, - useless-suppression, - deprecated-pragma, - apply-builtin, - basestring-builtin, - buffer-builtin, - cmp-builtin, - coerce-builtin, - execfile-builtin, - file-builtin, - long-builtin, - raw_input-builtin, - reduce-builtin, - standarderror-builtin, - unicode-builtin, - xrange-builtin, - coerce-method, - delslice-method, - getslice-method, - setslice-method, - no-absolute-import, - old-division, - dict-iter-method, - dict-view-method, - next-method-called, - metaclass-assignment, - indexing-exception, - raising-string, - reload-builtin, - oct-method, - hex-method, - nonzero-method, - cmp-method, - input-builtin, - round-builtin, - intern-builtin, - unichr-builtin, - map-builtin-not-iterating, - zip-builtin-not-iterating, - range-builtin-not-iterating, - filter-builtin-not-iterating, - using-cmp-argument, - eq-without-hash, - div-method, - idiv-method, - rdiv-method, - exception-message-attribute, - invalid-str-codec, - sys-max-int, - bad-python3-import, - deprecated-string-function, - deprecated-str-translate-call, - invalid-name, - too-few-public-methods, - too-many-arguments, - bad-continuation, - redefined-outer-name, - missing-docstring, - bad-whitespace, - no-self-use, - no-else-return, - global-statement, - too-many-public-method, - too-many-ancestors - -# Enable the message, report, category or checker with the given id(s). You can -# either give multiple identifier separated by comma (,) or put this option -# multiple time (only on the command line, not in the configuration file where -# it should appear only once). See also the "--disable" option for examples. -enable= - - -[REPORTS] - -# Python expression which should return a note less than 10 (10 is the highest -# note). You have access to the variables errors warning, statement which -# respectively contain the number of errors / warnings messages and the total -# number of statements analyzed. This is used by the global evaluation report -# (RP0004). -evaluation=10.0 - ((float(5 * error + warning + refactor + convention) / statement) * 10) - -# Template used to display messages. This is a python new-style format string -# used to format the message information. See doc for all details -#msg-template= - -# Set the output format. Available formats are text, parseable, colorized, json -# and msvs (visual studio).You can also give a reporter class, eg -# mypackage.mymodule.MyReporterClass. -output-format=text - -# Tells whether to display a full report or only the messages -reports=no - -# Activate the evaluation score. -score=yes - - -[REFACTORING] - -# Maximum number of nested blocks for function / method body -max-nested-blocks=5 - - -[MISCELLANEOUS] - -# List of note tags to take in consideration, separated by a comma. -notes=FIXME,XXX,TODO - - -[SIMILARITIES] - -# Ignore comments when computing similarities. -ignore-comments=yes - -# Ignore docstrings when computing similarities. -ignore-docstrings=yes - -# Ignore imports when computing similarities. -ignore-imports=no - -# Minimum lines number of a similarity. -min-similarity-lines=4 - - -[BASIC] - -# Naming hint for argument names -argument-name-hint=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ - -# Regular expression matching correct argument names -argument-rgx=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ - -# Naming hint for attribute names -attr-name-hint=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ - -# Regular expression matching correct attribute names -attr-rgx=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ - -# Bad variable names which should always be refused, separated by a comma -bad-names=foo,bar,baz,toto,tutu,tata - -# Naming hint for class attribute names -class-attribute-name-hint=([A-Za-z_][A-Za-z0-9_]{2,30}|(__.*__))$ - -# Regular expression matching correct class attribute names -class-attribute-rgx=([A-Za-z_][A-Za-z0-9_]{2,30}|(__.*__))$ - -# Naming hint for class names -class-name-hint=[A-Z_][a-zA-Z0-9]+$ - -# Regular expression matching correct class names -class-rgx=[A-Z_][a-zA-Z0-9]+$ - -# Naming hint for constant names -const-name-hint=(([A-Z_][A-Z0-9_]*)|(__.*__))$ - -# Regular expression matching correct constant names -const-rgx=(([A-Z_][A-Z0-9_]*)|(__.*__))$ - -# Minimum line length for functions/classes that require docstrings, shorter -# ones are exempt. -docstring-min-length=-1 - -# Naming hint for function names -function-name-hint=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ - -# Regular expression matching correct function names -function-rgx=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ - -# Good variable names which should always be accepted, separated by a comma -good-names=i,j,k,ex,Run,_ - -# Include a hint for the correct naming format with invalid-name -include-naming-hint=no - -# Naming hint for inline iteration names -inlinevar-name-hint=[A-Za-z_][A-Za-z0-9_]*$ - -# Regular expression matching correct inline iteration names -inlinevar-rgx=[A-Za-z_][A-Za-z0-9_]*$ - -# Naming hint for method names -method-name-hint=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ - -# Regular expression matching correct method names -method-rgx=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ - -# Naming hint for module names -module-name-hint=(([a-z_][a-z0-9_]*)|([A-Z][a-zA-Z0-9]+))$ - -# Regular expression matching correct module names -module-rgx=(([a-z_][a-z0-9_]*)|([A-Z][a-zA-Z0-9]+))$ - -# Colon-delimited sets of names that determine each other's naming style when -# the name regexes allow several styles. -name-group= - -# Regular expression which should only match function or class names that do -# not require a docstring. -no-docstring-rgx=^_ - -# List of decorators that produce properties, such as abc.abstractproperty. Add -# to this list to register other decorators that produce valid properties. -property-classes=abc.abstractproperty - -# Naming hint for variable names -variable-name-hint=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ - -# Regular expression matching correct variable names -variable-rgx=(([a-z][a-z0-9_]{2,30})|(_[a-z0-9_]*))$ - - -[VARIABLES] - -# List of additional names supposed to be defined in builtins. Remember that -# you should avoid to define new builtins when possible. -additional-builtins= - -# Tells whether unused global variables should be treated as a violation. -allow-global-unused-variables=yes - -# List of strings which can identify a callback function by name. A callback -# name must start or end with one of those strings. -callbacks=cb_,_cb - -# A regular expression matching the name of dummy variables (i.e. expectedly -# not used). -dummy-variables-rgx=_+$|(_[a-zA-Z0-9_]*[a-zA-Z0-9]+?$)|dummy|^ignored_|^unused_ - -# Argument names that match this expression will be ignored. Default to name -# with leading underscore -ignored-argument-names=_.*|^ignored_|^unused_ - -# Tells whether we should check for unused import in __init__ files. -init-import=no - -# List of qualified module names which can have objects that can redefine -# builtins. -redefining-builtins-modules=six.moves,future.builtins - - -[FORMAT] - -# Expected format of line ending, e.g. empty (any line ending), LF or CRLF. -expected-line-ending-format= - -# Regexp for a line that is allowed to be longer than the limit. -ignore-long-lines=^.*(# )??.*$ - -# Number of spaces of indent required inside a hanging or continued line. -indent-after-paren=4 - -# String used as indentation unit. This is usually " " (4 spaces) or "\t" (1 -# tab). -indent-string=' ' - -# Maximum number of characters on a single line. -max-line-length=100 - -# Maximum number of lines in a module -max-module-lines=1000 - -# List of optional constructs for which whitespace checking is disabled. `dict- -# separator` is used to allow tabulation in dicts, etc.: {1 : 1,\n222: 2}. -# `trailing-comma` allows a space between comma and closing bracket: (a, ). -# `empty-line` allows space-only lines. -no-space-check=trailing-comma,dict-separator - -# Allow the body of a class to be on the same line as the declaration if body -# contains single statement. -single-line-class-stmt=no - -# Allow the body of an if to be on the same line as the test if there is no -# else. -single-line-if-stmt=no - - -[SPELLING] - -# Spelling dictionary name. Available dictionaries: none. To make it working -# install python-enchant package. -spelling-dict= - -# List of comma separated words that should not be checked. -spelling-ignore-words= - -# A path to a file that contains private dictionary; one word per line. -spelling-private-dict-file= - -# Tells whether to store unknown words to indicated private dictionary in -# --spelling-private-dict-file option instead of raising a message. -spelling-store-unknown-words=no - - -[TYPECHECK] - -# List of decorators that produce context managers, such as -# contextlib.contextmanager. Add to this list to register other decorators that -# produce valid context managers. -contextmanager-decorators=contextlib.contextmanager - -# List of members which are set dynamically and missed by pylint inference -# system, and so shouldn't trigger E1101 when accessed. Python regular -# expressions are accepted. -generated-members= - -# Tells whether missing members accessed in mixin class should be ignored. A -# mixin class is detected if its name ends with "mixin" (case insensitive). -ignore-mixin-members=yes - -# This flag controls whether pylint should warn about no-member and similar -# checks whenever an opaque object is returned when inferring. The inference -# can return multiple potential results while evaluating a Python object, but -# some branches might not be evaluated, which results in partial inference. In -# that case, it might be useful to still emit no-member and other checks for -# the rest of the inferred objects. -ignore-on-opaque-inference=yes - -# List of class names for which member attributes should not be checked (useful -# for classes with dynamically set attributes). This supports the use of -# qualified names. -ignored-classes=optparse.Values,thread._local,_thread._local - -# List of module names for which member attributes should not be checked -# (useful for modules/projects where namespaces are manipulated during runtime -# and thus existing member attributes cannot be deduced by static analysis. It -# supports qualified module names, as well as Unix pattern matching. -ignored-modules=matplotlib.cm,numba - -# Show a hint with possible names when a member name was not found. The aspect -# of finding the hint is based on edit distance. -missing-member-hint=yes - -# The minimum edit distance a name should have in order to be considered a -# similar match for a missing member name. -missing-member-hint-distance=1 - -# The total number of similar names that should be taken in consideration when -# showing a hint for a missing member. -missing-member-max-choices=1 - - -[LOGGING] - -# Logging modules to check that the string format arguments are in logging -# function parameter format -logging-modules=logging - - -[DESIGN] - -# Maximum number of arguments for function / method -max-args=5 - -# Maximum number of attributes for a class (see R0902). -max-attributes=7 - -# Maximum number of boolean expressions in a if statement -max-bool-expr=5 - -# Maximum number of branch for function / method body -max-branches=12 - -# Maximum number of locals for function / method body -max-locals=22 - -# Maximum number of parents for a class (see R0901). -max-parents=7 - -# Maximum number of public methods for a class (see R0904). -max-public-methods=20 - -# Maximum number of return / yield for function / method body -max-returns=6 - -# Maximum number of statements in function / method body -max-statements=50 - -# Minimum number of public methods for a class (see R0903). -min-public-methods=2 - - -[CLASSES] - -# List of method names used to declare (i.e. assign) instance attributes. -defining-attr-methods=__init__,__new__,setUp - -# List of member names, which should be excluded from the protected access -# warning. -exclude-protected=_asdict,_fields,_replace,_source,_make - -# List of valid names for the first argument in a class method. -valid-classmethod-first-arg=cls - -# List of valid names for the first argument in a metaclass class method. -valid-metaclass-classmethod-first-arg=mcs - - -[IMPORTS] - -# Allow wildcard imports from modules that define __all__. -allow-wildcard-with-all=no - -# Analyse import fallback blocks. This can be used to support both Python 2 and -# 3 compatible code, which means that the block might have code that exists -# only in one or another interpreter, leading to false positives when analysed. -analyse-fallback-blocks=no - -# Deprecated modules which should not be used, separated by a comma -deprecated-modules=optparse,tkinter.tix - -# Create a graph of external dependencies in the given file (report RP0402 must -# not be disabled) -ext-import-graph= - -# Create a graph of every (i.e. internal and external) dependencies in the -# given file (report RP0402 must not be disabled) -import-graph= - -# Create a graph of internal dependencies in the given file (report RP0402 must -# not be disabled) -int-import-graph= - -# Force import order to recognize a module as part of the standard -# compatibility libraries. -known-standard-library= - -# Force import order to recognize a module as part of a third party library. -known-third-party=enchant - - -[EXCEPTIONS] - -# Exceptions that will emit a warning when being caught. Defaults to -# "Exception" -overgeneral-exceptions=Exception diff --git a/benchmarks/data/.gitignore b/benchmarks/data/.gitignore index 628c48b91..80aa9b13a 100644 --- a/benchmarks/data/.gitignore +++ b/benchmarks/data/.gitignore @@ -3,3 +3,4 @@ #yaml *.yaml +*.tar diff --git a/tests/benchmark_ad.py b/benchmarks/eko/benchmark_ad.py similarity index 98% rename from tests/benchmark_ad.py rename to benchmarks/eko/benchmark_ad.py index 465b75b3a..9b0ac352e 100644 --- a/tests/benchmark_ad.py +++ b/benchmarks/eko/benchmark_ad.py @@ -1,17 +1,20 @@ # -*- coding: utf-8 -*- """Benchmark the NLO anomalous dimensions against PEGASUS""" import numpy as np +import pytest import eko.anomalous_dimensions.harmonics as h import eko.anomalous_dimensions.nlo as ad_nlo from eko.constants import CA, CF, TR +@pytest.mark.isolated def benchmark_melling_g3_pegasus(): for N in [1, 2, 3, 4, 1 + 1j, 1 - 1j, 2 + 1j, 3 + 1j]: check_melling_g3_pegasus(N) +@pytest.mark.isolated def check_melling_g3_pegasus(N): S1 = h.harmonic_S1(N) N1 = N + 1.0 @@ -41,12 +44,14 @@ def check_melling_g3_pegasus(N): np.testing.assert_allclose(h.mellin_g3(N), SPMOM) +@pytest.mark.isolated def benchmark_gamma_ns_1_pegasus(): for N in range(10): for NF in [3, 4, 5]: check_gamma_ns_1_pegasus(N, NF) +@pytest.mark.isolated def check_gamma_ns_1_pegasus(N, NF): # pylint: disable=line-too-long,too-many-locals,too-many-statements # Test against pegasus implementation diff --git a/tests/benchmark_evol_to_unity.py b/benchmarks/eko/benchmark_evol_to_unity.py similarity index 98% rename from tests/benchmark_evol_to_unity.py rename to benchmarks/eko/benchmark_evol_to_unity.py index e9f33fbe7..bd427a018 100644 --- a/tests/benchmark_evol_to_unity.py +++ b/benchmarks/eko/benchmark_evol_to_unity.py @@ -1,6 +1,6 @@ # -*- coding: utf-8 -*- - import numpy as np +import pytest from eko.evolution_operator import Operator from eko.evolution_operator.grid import OperatorGrid @@ -11,7 +11,8 @@ # from eko.matching_conditions.operator_matrix_element import OperatorMatrixElement -class TestBackwardForward: +@pytest.mark.isolated +class BenchmarkBackwardForward: # setup objs theory_card = { "alphas": 0.35, diff --git a/tests/benchmark_msbar_evolution.py b/benchmarks/eko/benchmark_msbar_evolution.py similarity index 99% rename from tests/benchmark_msbar_evolution.py rename to benchmarks/eko/benchmark_msbar_evolution.py index 63f16eb63..73e94c325 100644 --- a/tests/benchmark_msbar_evolution.py +++ b/benchmarks/eko/benchmark_msbar_evolution.py @@ -1,6 +1,7 @@ # -*- coding: utf-8 -*- """This module benchmarks MSbar mass evolution against APFEL.""" import numpy as np +import pytest from eko import msbar_masses from eko.strong_coupling import StrongCoupling @@ -36,6 +37,7 @@ } +@pytest.mark.isolated class BenchmarkMSbar: def benchmark_APFEL_msbar_evolution(self): Q2s = np.power([1, 96, 150], 2) diff --git a/tests/benchmark_strong_coupling.py b/benchmarks/eko/benchmark_strong_coupling.py similarity index 99% rename from tests/benchmark_strong_coupling.py rename to benchmarks/eko/benchmark_strong_coupling.py index a4caa9e7c..af57d3106 100644 --- a/tests/benchmark_strong_coupling.py +++ b/benchmarks/eko/benchmark_strong_coupling.py @@ -1,6 +1,7 @@ # -*- coding: utf-8 -*- """This module benchmarks alpha_s against LHAPDF and APFEL.""" import numpy as np +import pytest from eko import thresholds from eko.beta import beta @@ -31,6 +32,7 @@ use_PEGASUS = False +@pytest.mark.isolated class BenchmarkStrongCoupling: def test_a_s(self): """Tests the value of alpha_s (for now only at LO) diff --git a/benchmarks/ekobox/benchmark_evol_pdf.py b/benchmarks/ekobox/benchmark_evol_pdf.py new file mode 100644 index 000000000..29b8cc595 --- /dev/null +++ b/benchmarks/ekobox/benchmark_evol_pdf.py @@ -0,0 +1,120 @@ +# -*- coding: utf-8 -*- +import pathlib + +import lhapdf +import numpy as np +import pytest + +from eko import basis_rotation as br +from eko import output +from ekobox import evol_pdf as ev_p +from ekobox import gen_op as g_o +from ekobox import gen_theory as g_t +from ekobox.genpdf import load + +test_pdf = pathlib.Path(__file__).parent / "fakepdf" + + +@pytest.mark.isolated +def benchmark_evolve_single_member(tmp_path, cd, lhapdf_path): + q2grid = [ + 20.0, + 100.0, + 10000.0, + ] + op = g_o.gen_op_card(q2grid) + theory = g_t.gen_theory_card( + 0, + 5.0, + update={ + "alphas": 0.118000, + "MaxNfPdf": 3, + "MaxNfAs": 3, + "Qref": 91.1876, + "mc": 1.3, + "mb": 4.75, + "mt": 172, + "kcThr": 1, + "kbThr": 1, + "ktThr": 1, + }, + ) + # lhapdf import (maybe i have to dump with a x*), do plots) + with lhapdf_path(test_pdf): + pdf = lhapdf.mkPDF("myCT14llo_NF3", 0) + with cd(tmp_path): + ev_p.evolve_pdfs( + [pdf], + theory, + op, + name="EvPDF", + info_update={"SetDesc": "MyEvolvedPDF", "MZ": 0.2, "Debug": "Debug"}, + ) + with lhapdf_path(tmp_path): + all_blocks = (load.load_blocks_from_file("EvPDF", 0))[1] + info = load.load_info_from_file("EvPDF") + ev_pdf = lhapdf.mkPDF("EvPDF", 0) + assert info["XMin"] == op["interpolation_xgrid"][0] + assert info["SetDesc"] == "MyEvolvedPDF" + assert info["MZ"] == theory["MZ"] + assert info["Debug"] == "Debug" + xgrid = op["interpolation_xgrid"] + for Q2 in [20.0, 100.0, 10000.0]: + for x in xgrid[10:40]: + for pid in [21, 1, -1, 2, -2, 3, -3]: + np.testing.assert_allclose( + pdf.xfxQ2(pid, x, Q2), + all_blocks[0]["data"][ + q2grid.index(Q2) + xgrid.index(x) * len(q2grid) + ][br.flavor_basis_pids.index(pid)], + rtol=1e-2, + ) + np.testing.assert_allclose( + pdf.xfxQ2(pid, x, Q2), + ev_pdf.xfxQ2(pid, x, Q2), + rtol=1e-2, + ) + + +@pytest.mark.isolated +def benchmark_evolve_more_members(tmp_path, cd, lhapdf_path): + op = g_o.gen_op_card( + [10, 100], update={"interpolation_xgrid": [1e-7, 0.01, 0.1, 0.2, 0.3]} + ) + theory = g_t.gen_theory_card(0, 1.0) + with lhapdf_path(test_pdf): + pdfs = lhapdf.mkPDFs("myMSTW2008nlo90cl") + d = tmp_path / "sub" + d.mkdir() + with lhapdf_path(d): + with cd(tmp_path): + ev_p.evolve_pdfs(pdfs, theory, op, install=True, name="Debug") + # ev_pdfs + _ = lhapdf.mkPDFs("Debug") + info = load.load_info_from_file("Debug") + assert info["XMin"] == op["interpolation_xgrid"][0] + + +@pytest.mark.isolated +def benchmark_gen_and_dump_out(tmp_path): + op = g_o.gen_op_card( + [100.0], update={"interpolation_xgrid": [1e-7, 0.01, 0.1, 0.2, 0.3]} + ) + theory = g_t.gen_theory_card(0, 1.0) + + out = ev_p.gen_out(theory, op, path=tmp_path) + + ops_id = f"o{op['hash'][:6]}_t{theory['hash'][:6]}" + outpath = f"{tmp_path}/{ops_id}.tar" + loaded_out = output.Output.load_tar(outpath) + for el, load_el in zip( + out["interpolation_xgrid"], loaded_out["interpolation_xgrid"] + ): + assert el == load_el + for el, load_el in zip( + out["Q2grid"][100.0]["operators"], loaded_out["Q2grid"][100.0]["operators"] + ): + np.testing.assert_allclose( + out["Q2grid"][100.0]["operators"], + loaded_out["Q2grid"][100.0]["operators"], + ) diff --git a/benchmarks/ekobox/benchmark_gen_info.py b/benchmarks/ekobox/benchmark_gen_info.py new file mode 100644 index 000000000..8e8f65566 --- /dev/null +++ b/benchmarks/ekobox/benchmark_gen_info.py @@ -0,0 +1,26 @@ +# -*- coding: utf-8 -*- +import math + +import numpy as np +import pytest + +from ekobox import gen_info as g_i +from ekobox import gen_op as g_o +from ekobox import gen_theory as g_t + + +@pytest.mark.isolated +def benchmark_create_info_file(): + op = g_o.gen_op_card([10, 100]) + theory = g_t.gen_theory_card(1, 10.0, update={"alphas": 0.2}) + info = g_i.create_info_file( + theory, op, 4, info_update={"SetDesc": "Prova", "NewArg": 15.3, "MTop": 1.0} + ) + assert info["AlphaS_MZ"] == 0.2 + assert info["SetDesc"] == "Prova" + assert info["NewArg"] == 15.3 + assert info["NumMembers"] == 4 + assert info["MTop"] == theory["mt"] + np.testing.assert_allclose(info["QMin"], math.sqrt(op["Q2grid"][0]), rtol=1e-5) + assert info["XMin"] == op["interpolation_xgrid"][0] + assert info["XMax"] == op["interpolation_xgrid"][-1] == 1.0 diff --git a/benchmarks/ekobox/benchmark_gen_op.py b/benchmarks/ekobox/benchmark_gen_op.py new file mode 100644 index 000000000..cacc832cd --- /dev/null +++ b/benchmarks/ekobox/benchmark_gen_op.py @@ -0,0 +1,30 @@ +# -*- coding: utf-8 -*- +import pytest + +from ekobox import gen_op as g_o + + +@pytest.mark.isolated +def benchmark_gen_op_card(): + op = g_o.gen_op_card([10, 100]) + assert op["Q2grid"] == [10, 100] + assert op["interpolation_polynomial_degree"] == 4 + up_err = {"Prova": "Prova"} + with pytest.raises(ValueError): + op = g_o.gen_op_card([10], update=up_err) + up = {"interpolation_polynomial_degree": 2, "interpolation_is_log": False} + op = g_o.gen_op_card([100], update=up) + assert op["Q2grid"] == [100] + assert op["interpolation_polynomial_degree"] == 2 + assert op["interpolation_is_log"] is False + + +@pytest.mark.isolated +def benchmark_export_load_op_card(tmp_path, cd): + with cd(tmp_path): + op = g_o.gen_op_card([100], name="debug_op") + g_o.export_op_card("debug_op_two", op) + op_loaded = g_o.import_op_card("debug_op.yaml") + op_two_loaded = g_o.import_op_card("debug_op_two.yaml") + for key in op.keys(): + assert op[key] == op_loaded[key] == op_two_loaded[key] diff --git a/benchmarks/ekobox/benchmark_gen_theory.py b/benchmarks/ekobox/benchmark_gen_theory.py new file mode 100644 index 000000000..07320fa5e --- /dev/null +++ b/benchmarks/ekobox/benchmark_gen_theory.py @@ -0,0 +1,30 @@ +# -*- coding: utf-8 -*- +import pytest + +from ekobox import gen_theory as g_t + + +@pytest.mark.isolated +def benchmark_gen_theory_card(): + theory = g_t.gen_theory_card(0, 1.0) + assert theory["PTO"] == 0 + assert theory["Q0"] == 1.0 + assert theory["mt"] == 173.07 + up_err = {"Prova": "Prova"} + with pytest.raises(ValueError): + theory = g_t.gen_theory_card(0, 1.0, update=up_err) + up = {"mb": 132.3, "PTO": 2} + theory = g_t.gen_theory_card(0, 1.0, update=up) + assert theory["PTO"] == 2 + assert theory["mb"] == 132.3 + + +@pytest.mark.isolated +def benchmark_export_load_theory_card(tmp_path, cd): + with cd(tmp_path): + theory = g_t.gen_theory_card(2, 12.3, name="debug_theory") + g_t.export_theory_card("debug_theory_two", theory) + theory_loaded = g_t.import_theory_card("debug_theory.yaml") + theory_two_loaded = g_t.import_theory_card("debug_theory_two.yaml") + for key in theory.keys(): + assert theory[key] == theory_loaded[key] == theory_two_loaded[key] diff --git a/benchmarks/ekobox/benchmark_utils.py b/benchmarks/ekobox/benchmark_utils.py new file mode 100644 index 000000000..0b8ac5664 --- /dev/null +++ b/benchmarks/ekobox/benchmark_utils.py @@ -0,0 +1,50 @@ +# -*- coding: utf-8 -*- +import numpy as np +import pytest + +from ekobox import evol_pdf as ev_p +from ekobox import gen_op as g_o +from ekobox import gen_theory as g_t +from ekobox import utils + + +@pytest.mark.isolated +def benchmark_ekos_product(): + # Generating two ekos + op1 = g_o.gen_op_card( + [60.0, 80.0, 100.0], update={"interpolation_xgrid": [1e-7, 0.01, 0.1, 0.2, 0.3]} + ) + theory1 = g_t.gen_theory_card(0, 5.0) + + op2 = g_o.gen_op_card( + [80.0, 100.0, 120.0], + update={"interpolation_xgrid": [1e-7, 0.01, 0.1, 0.2, 0.3]}, + ) + theory2 = g_t.gen_theory_card(0, 10.0) + theory_err = g_t.gen_theory_card(0, 5.0) + + eko_ini = ev_p.gen_out(theory1, op1) + eko_fin = ev_p.gen_out(theory2, op2) + # Test_error + eko_fin_err = ev_p.gen_out(theory_err, op2) + with pytest.raises(ValueError): + _ = utils.ekos_product(eko_ini, eko_fin_err) + # product is copied + eko_res = utils.ekos_product(eko_ini, eko_fin, in_place=False) + # product overwrites initial + eko_res2 = utils.ekos_product(eko_ini, eko_fin) + np.testing.assert_allclose( + eko_res["Q2grid"][80.0]["operators"], eko_res2["Q2grid"][80.0]["operators"] + ) + np.testing.assert_allclose(eko_res2["q2_ref"], eko_ini["q2_ref"]) + np.testing.assert_allclose( + list(eko_res2["Q2grid"].keys()), list(eko_fin["Q2grid"].keys()) + ) + + np.testing.assert_allclose( + eko_ini["Q2grid"][80.0]["operators"], eko_res2["Q2grid"][80.0]["operators"] + ) + np.testing.assert_allclose(eko_res["q2_ref"], eko_ini["q2_ref"]) + np.testing.assert_allclose( + list(eko_res["Q2grid"].keys()), list(eko_fin["Q2grid"].keys()) + ) diff --git a/benchmarks/ekobox/cached_out/o7f0768_t76f883.tar b/benchmarks/ekobox/cached_out/o7f0768_t76f883.tar new file mode 100644 index 000000000..79b98492c Binary files /dev/null and b/benchmarks/ekobox/cached_out/o7f0768_t76f883.tar differ diff --git a/benchmarks/ekobox/cached_out/o7f0768_te69c4b.tar b/benchmarks/ekobox/cached_out/o7f0768_te69c4b.tar new file mode 100644 index 000000000..04b9ba2f9 Binary files /dev/null and b/benchmarks/ekobox/cached_out/o7f0768_te69c4b.tar differ diff --git a/benchmarks/ekobox/conftest.py b/benchmarks/ekobox/conftest.py new file mode 100644 index 000000000..2bc11ed2a --- /dev/null +++ b/benchmarks/ekobox/conftest.py @@ -0,0 +1,37 @@ +# -*- coding: utf-8 -*- +import os +from contextlib import contextmanager + +import pytest + + +@pytest.fixture +def cd(): + # thanks https://stackoverflow.com/questions/431684/ + # how-do-i-change-the-working-directory-in-python/24176022#24176022 + @contextmanager + def wrapped(newdir): + prevdir = os.getcwd() + os.chdir(os.path.expanduser(newdir)) + try: + yield + finally: + os.chdir(prevdir) + + return wrapped + + +@pytest.fixture +def lhapdf_path(): + @contextmanager + def wrapped(newdir): + import lhapdf # pylint: disable=import-error, import-outside-toplevel + + paths = lhapdf.paths() + lhapdf.pathsPrepend(str(newdir)) + try: + yield + finally: + lhapdf.setPaths(paths) + + return wrapped diff --git a/benchmarks/ekobox/fakepdf/NNPDF40_nnlo_as_01180/NNPDF40_nnlo_as_01180.info b/benchmarks/ekobox/fakepdf/NNPDF40_nnlo_as_01180/NNPDF40_nnlo_as_01180.info new file mode 100644 index 000000000..08e2f344c --- /dev/null +++ b/benchmarks/ekobox/fakepdf/NNPDF40_nnlo_as_01180/NNPDF40_nnlo_as_01180.info @@ -0,0 +1,47 @@ +SetDesc: "NNPDF4.0 NNLO global fit, alphas(MZ)=0.1180. mem=0 => average on replicas; mem=1-100 => PDF replicas" +SetIndex: 331100 +Authors: NNPDF Collaboration. R.D. Ball, S. Carrazza, J. Cruz-Martinez, L. Del Debbio, S. Forte, T. Giani, S. Iranipour, Z. Kassabov, J.I. Latorre, E. Nocera, R.L. Pearson, J. Rojo, R. Stegeman, C. Schwan, M. Ubiali, C. Voisey and M. Wilson +Reference: arXiv:2109.02653 +Format: lhagrid1 +DataVersion: 1 +NumMembers: 101 +Particle: 2212 +Flavors: [-5, -4, -3, -2, -1, 21, 1, 2, 3, 4, 5] +OrderQCD: 2 +FlavorScheme: variable +NumFlavors: 5 +ErrorType: replicas +XMin: 1.0000000e-09 +XMax: 1.0000000e+00 +QMin: 1.6500000e+00 +QMax: 1.0000000e+05 +MZ: 9.1187600e+01 +MUp: 0 +MDown: 0 +MStrange: 0 +MCharm: 1.5100000e+00 +MBottom: 4.9200000e+00 +MTop: 1.7250000e+02 +AlphaS_MZ: 0.1180024 +AlphaS_OrderQCD: 2 +AlphaS_Type: ipol +AlphaS_Qs: [1.6500000e+00, 1.7874388e+00, 1.9429053e+00, 2.1193749e+00, 2.3204100e+00, + 2.5502944e+00, 2.8142025e+00, 3.1184122e+00, 3.4705775e+00, 3.8800751e+00, 4.3584516e+00, + 4.9200000e+00, 4.9200000e+00, 5.5493622e+00, 6.2897452e+00, 7.1650687e+00, 8.2052867e+00, + 9.4481248e+00, 1.0941378e+01, 1.2745972e+01, 1.4940062e+01, 1.7624572e+01, 2.0930715e+01, + 2.5030298e+01, 3.0149928e+01, 3.6590777e+01, 4.4756282e+01, 5.5191298e+01, 6.8637940e+01, + 8.6115921e+01, 1.0903923e+02, 1.3938725e+02, 1.7995815e+02, 2.3474820e+02, 3.0952544e+02, + 4.1270732e+02, 5.5671861e+02, 7.6011795e+02, 1.0509694e+03, 1.4722574e+03, 2.0906996e+03, + 3.0112909e+03, 4.4016501e+03, 6.5333918e+03, 9.8535186e+03, 1.5109614e+04, 2.3573066e+04, + 3.7444017e+04, 6.0599320e+04, 1.0000000e+05] +AlphaS_Vals: [3.3074891e-01, 3.1762460e-01, 3.0507081e-01, 2.9305875e-01, 2.8156114e-01, + 2.7055221e-01, 2.6000761e-01, 2.4990438e-01, 2.4022086e-01, 2.3093662e-01, 2.2203241e-01, + 2.1377883e-01, 2.1377883e-01, 2.0671584e-01, 1.9986334e-01, 1.9321629e-01, 1.8676970e-01, + 1.8051860e-01, 1.7445809e-01, 1.6858329e-01, 1.6288942e-01, 1.5737175e-01, 1.5202563e-01, + 1.4684647e-01, 1.4182979e-01, 1.3697116e-01, 1.3226626e-01, 1.2771084e-01, 1.2330074e-01, + 1.1903189e-01, 1.1490031e-01, 1.1090210e-01, 1.0703345e-01, 1.0329062e-01, 9.9669997e-02, + 9.6168008e-02, 9.2781186e-02, 8.9506143e-02, 8.6339571e-02, 8.3278245e-02, 8.0319017e-02, + 7.7458816e-02, 7.4694649e-02, 7.2023600e-02, 6.9442824e-02, 6.6949551e-02, 6.4541082e-02, + 6.2214786e-02, 5.9968105e-02, 5.7798546e-02] +AlphaS_Lambda4: 0.342207 +AlphaS_Lambda5: 0.239 diff --git a/benchmarks/ekobox/fakepdf/NNPDF40_nnlo_as_01180/NNPDF40_nnlo_as_01180_0000.dat b/benchmarks/ekobox/fakepdf/NNPDF40_nnlo_as_01180/NNPDF40_nnlo_as_01180_0000.dat new file mode 100644 index 000000000..79f370d60 --- /dev/null +++ b/benchmarks/ekobox/fakepdf/NNPDF40_nnlo_as_01180/NNPDF40_nnlo_as_01180_0000.dat @@ -0,0 +1,9811 @@ +PdfType: central +Format: lhagrid1 +--- +1.0000000E-09 1.2970848E-09 1.6824290E-09 2.1822532E-09 2.8305674E-09 3.6714860E-09 4.7622286E-09 6.1770143E-09 8.0121111E-09 1.0392387E-08 1.3479806E-08 1.7484450E-08 2.2678812E-08 2.9416337E-08 3.8155475E-08 4.9490871E-08 6.4193830E-08 8.3264795E-08 1.0800142E-07 1.4008687E-07 1.8170433E-07 2.3568555E-07 3.0570351E-07 3.9652231E-07 5.1432126E-07 6.6711525E-07 8.6529992E-07 1.1223588E-06 1.4557800E-06 1.8882456E-06 2.4491735E-06 3.1767165E-06 4.1203542E-06 5.3442527E-06 6.9316190E-06 8.9903426E-06 1.1660303E-05 1.5122831E-05 1.9612953E-05 2.5435221E-05 3.2984168E-05 4.2770705E-05 5.5456125E-05 7.1895831E-05 9.3195423E-05 1.2078237E-04 1.5649721E-04 2.0270894E-04 2.6245980E-04 3.3964524E-04 4.3923444E-04 5.6753566E-04 7.3250762E-04 9.4411211E-04 1.2146932E-03 1.5593531E-03 1.9962745E-03 2.5469149E-03 3.2359751E-03 4.0910344E-03 5.1417598E-03 6.4186510E-03 7.9513794E-03 9.7669000E-03 1.1887614E-02 1.4329895E-02 1.7103228E-02 2.0210073E-02 2.3646397E-02 2.7402692E-02 3.1465251E-02 3.5817483E-02 4.0441106E-02 4.5317134E-02 5.0426635E-02 5.5751261E-02 6.1273602E-02 6.6977383E-02 7.2847559E-02 7.8870332E-02 8.5033120E-02 9.1324491E-02 9.7734088E-02 1.0425254E-01 1.1087137E-01 1.1758291E-01 1.2438023E-01 1.3125706E-01 1.3820771E-01 1.4522701E-01 1.5231026E-01 1.5945321E-01 1.6665195E-01 1.7390294E-01 1.8120291E-01 1.8854889E-01 1.9593815E-01 2.0336816E-01 2.1083662E-01 2.1834138E-01 2.2588049E-01 2.3345210E-01 2.4105454E-01 2.4868622E-01 2.5634570E-01 2.6403161E-01 2.7174270E-01 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b/benchmarks/ekobox/fakepdf/myCT14llo_NF3/myCT14llo_NF3.info new file mode 100644 index 000000000..cda553208 --- /dev/null +++ b/benchmarks/ekobox/fakepdf/myCT14llo_NF3/myCT14llo_NF3.info @@ -0,0 +1,29 @@ +SetDesc: 'fake CT14llo, 1-loop PDF evolution with HOPPET and HOPPET alphas_s running solution. This set has 1 member PDFs. mem=0 --> max NF=3' +SetIndex: 13206 +Authors: S. Dulat, T.-J. Hou, J. Gao, M. Guzzi, J. Huston, P. Nadolsky, J. Pumplin, C. Schmidt, D. Stump, C.-P.Yuan +Reference: arXiv:1506.07443 +Format: lhagrid1 +DataVersion: 1 +NumMembers: 1 +Particle: 2212 +Flavors: [-3, -2, -1, 1, 2, 3, 21] +ForcePositive: 1 +OrderQCD: 0 +FlavorScheme: variable +NumFlavors: 3 +XMin: 1.000000e-09 +XMax: 1 +QMin: 1.295000e+00 +QMax: 100000 +MZ: 91.1876 +MUp: 0 +MDown: 0 +MStrange: 0 +MCharm: 1.3 +MBottom: 4.75 +MTop: 172 +AlphaS_MZ: 0.118000 +AlphaS_OrderQCD: 0 +AlphaS_Type: ipol +AlphaS_Qs: [1.295000e+00, 1.475010e+00, 1.691180e+00, 1.952560e+00, 2.270860e+00, 2.661400e+00, 3.144360e+00, 3.746580e+00, 4.504060e+00, 5.465600e+00, 6.697950e+00, 8.293410e+00, 1.038100e+01, 1.314320e+01, 1.684110e+01, 2.185310e+01, 2.873440e+01, 3.831200e+01, 5.183410e+01, 7.121450e+01, 9.943320e+01, 1.412090e+02, 2.041420e+02, 3.007030e+02, 4.517430e+02, 6.928310e+02, 1.085930e+03, 1.741380e+03, 2.860290e+03, 4.818130e+03, 8.334020e+03, 1.482260e+04, 2.714580e+04, 5.126670e+04, 1.000000e+05] +AlphaS_Vals: [4.200710e-01, 3.895640e-01, 3.619420e-01, 3.368440e-01, 3.139670e-01, 2.930520e-01, 2.738810e-01, 2.562640e-01, 2.400390e-01, 2.250660e-01, 2.112210e-01, 1.983960e-01, 1.864960e-01, 1.754390e-01, 1.651500e-01, 1.555630e-01, 1.466190e-01, 1.382660e-01, 1.304560e-01, 1.231460e-01, 1.162990e-01, 1.098790e-01, 1.038540e-01, 9.819640e-02, 9.287940e-02, 8.787930e-02, 8.317410e-02, 7.874380e-02, 7.457000e-02, 7.063560e-02, 6.692520e-02, 6.342420e-02, 6.011950e-02, 5.699860e-02, 5.405020e-02] diff --git a/benchmarks/ekobox/fakepdf/myCT14llo_NF3/myCT14llo_NF3_0000.dat b/benchmarks/ekobox/fakepdf/myCT14llo_NF3/myCT14llo_NF3_0000.dat new file mode 100644 index 000000000..90c550423 --- /dev/null +++ b/benchmarks/ekobox/fakepdf/myCT14llo_NF3/myCT14llo_NF3_0000.dat @@ -0,0 +1,8407 @@ +PdfType: central +Format: lhagrid1 +--- +1.000000e-09 1.131190e-09 1.381630e-09 1.687530e-09 2.061150e-09 2.517500e-09 3.074880e-09 3.755670e-09 4.587180e-09 5.602800e-09 6.843270e-09 8.358390e-09 1.020900e-08 1.246930e-08 1.523000e-08 1.860190e-08 2.272050e-08 2.775080e-08 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0.00000000e+00 0.00000000e+00 +--- diff --git a/benchmarks/ekobox/fakepdf/myMSTW2008nlo90cl/myMSTW2008nlo90cl.info b/benchmarks/ekobox/fakepdf/myMSTW2008nlo90cl/myMSTW2008nlo90cl.info new file mode 100644 index 000000000..ff1658c93 --- /dev/null +++ b/benchmarks/ekobox/fakepdf/myMSTW2008nlo90cl/myMSTW2008nlo90cl.info @@ -0,0 +1,30 @@ +SetDesc: "fake MSTW 2008 NLO (90% C.L.). This set has 41 member PDFs. mem=0 => central value; mem=1-40 => 20 eigenvectors (+/- directions). See Section 6 of paper for error calculation. http://mstwpdf.hepforge.org" +SetIndex: 21150 +Authors: A.D. Martin, W.J. Stirling, R.S. Thorne and G. Watt +Reference: arXiv:0901.0002 +Format: lhagrid1 +DataVersion: 3 +NumMembers: 2 +Particle: 2212 +Flavors: [-5, -4, -3, -2, -1, 1, 2, 3, 4, 5, 21] +OrderQCD: 1 +FlavorScheme: variable +NumFlavors: 5 +ErrorType: hessian +ErrorConfLevel: 90 +XMin: 1e-06 +XMax: 1 +QMin: 1 +QMax: 31622.8 +MZ: 91.1876 +MUp: 0 +MDown: 0 +MStrange: 0 +MCharm: 1.4 +MBottom: 4.75 +MTop: 1e+10 +AlphaS_MZ: 0.120179 +AlphaS_OrderQCD: 1 +AlphaS_Type: ipol +AlphaS_Qs: [1.000000e+00, 1.118034e+00, 1.224745e+00, 1.400000e+00, 1.400000e+00, 1.581139e+00, 1.788854e+00, 2.000000e+00, 2.236068e+00, 2.529822e+00, 2.828427e+00, 3.162278e+00, 3.464102e+00, 4.750000e+00, 4.750000e+00, 5.099020e+00, 6.324555e+00, 8.000000e+00, 1.000000e+01, 1.264911e+01, 1.549193e+01, 2.000000e+01, 2.529822e+01, 3.162278e+01, 4.242641e+01, 5.656854e+01, 7.483315e+01, 9.118760e+01, 1.000000e+02, 1.341641e+02, 1.788854e+02, 2.366432e+02, 3.162278e+02, 4.242641e+02, 5.656854e+02, 7.483315e+02, 1.000000e+03, 1.341641e+03, 1.788854e+03, 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0.00000000e+00 +0.00000000e+00 0.00000000e+00 -1.05879118e-22 -2.38228016e-22 3.17700363e-22 3.17637355e-22 -1.05879118e-22 -1.05879118e-22 0.00000000e+00 0.00000000e+00 0.00000000e+00 +6.35274710e-22 1.05879118e-21 -9.52912066e-22 -1.40289832e-21 2.43526334e-21 2.43521972e-21 -1.16467030e-21 -9.52912066e-22 1.05879118e-21 6.35274710e-22 -8.47032947e-22 +--- diff --git a/benchmarks/ekobox/fakepdf/myNNPDF31_nlo_as_0118/myNNPDF31_nlo_as_0118.info b/benchmarks/ekobox/fakepdf/myNNPDF31_nlo_as_0118/myNNPDF31_nlo_as_0118.info new file mode 100644 index 000000000..f7f38c48f --- /dev/null +++ b/benchmarks/ekobox/fakepdf/myNNPDF31_nlo_as_0118/myNNPDF31_nlo_as_0118.info @@ -0,0 +1,30 @@ +SetDesc: "NNPDF3.1 NLO global fit, alphas(MZ)=0.118. mem=0 => average on replicas; mem=1-100 => PDF replicas" +SetIndex: 303400 +Authors: "NNPDF Collaboration. R.D. Ball, V. Bertone, S. Carrazza, L. Del Debbio, S. Forte, P. Groth-Merrild, A. Guffanti, N.P. Hartland, Z. Kassabov, J.I. Latorre, E. Nocera, J. Rojo, L. Rottoli, E. Slade and M. Ubiali" +Reference: arXiv:17xx.xxxxxx +Format: lhagrid1 +DataVersion: 1 +NumMembers: 2 +Particle: 2212 +Flavors: [-5, -4, -3, -2, -1, 21, 1, 2, 3, 4, 5] +OrderQCD: 1 +FlavorScheme: variable +NumFlavors: 5 +ErrorType: replicas +XMin: 1.0000000e-09 +XMax: 1.0000000e+00 +QMin: 1.6500000e+00 +QMax: 1.0000000e+05 +MZ: 9.1200000e+01 +MUp: 0 +MDown: 0 +MStrange: 0 +MCharm: 1.5100000e+00 +MBottom: 4.9200000e+00 +MTop: 1.7250000e+02 +AlphaS_MZ: 0.1180000 +AlphaS_OrderQCD: 1 +AlphaS_Type: ipol +AlphaS_Qs: [1.6500000e+00, 1.7874388e+00, 1.9429053e+00, 2.1193749e+00, 2.3204100e+00, 2.5502945e+00, 2.8142025e+00, 3.1184123e+00, 3.4705775e+00, 3.8800752e+00, 4.3584516e+00, 4.9200000e+00, 4.9200000e+00, 5.5493622e+00, 6.2897452e+00, 7.1650687e+00, 8.2052867e+00, 9.4481248e+00, 1.0941378e+01, 1.2745972e+01, 1.4940062e+01, 1.7624572e+01, 2.0930715e+01, 2.5030298e+01, 3.0149928e+01, 3.6590777e+01, 4.4756282e+01, 5.5191298e+01, 6.8637940e+01, 8.6115921e+01, 1.0903923e+02, 1.3938725e+02, 1.7995815e+02, 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5.9973622e-02, 5.7802878e-02] +AlphaS_Lambda4: 0.342207 diff --git a/benchmarks/ekobox/fakepdf/myNNPDF31_nlo_as_0118/myNNPDF31_nlo_as_0118_0000.dat b/benchmarks/ekobox/fakepdf/myNNPDF31_nlo_as_0118/myNNPDF31_nlo_as_0118_0000.dat new file mode 100644 index 000000000..225fe6043 --- /dev/null +++ b/benchmarks/ekobox/fakepdf/myNNPDF31_nlo_as_0118/myNNPDF31_nlo_as_0118_0000.dat @@ -0,0 +1,7511 @@ +PdfType: central +Format: lhagrid1 +--- +1.0000000e-09 1.2805087e-09 1.6397027e-09 2.0996536e-09 2.6886248e-09 3.4428076e-09 4.4085452e-09 5.6451808e-09 7.2287034e-09 9.2564179e-09 1.1852924e-08 1.5177773e-08 1.9435271e-08 2.4887035e-08 3.1868066e-08 4.0807337e-08 5.2254152e-08 6.6911899e-08 8.5681272e-08 1.0971562e-07 1.4049181e-07 1.7990099e-07 2.3036479e-07 2.9498413e-07 3.7772976e-07 4.8368627e-07 6.1936450e-07 7.9310166e-07 1.0155736e-06 1.3004509e-06 1.6652388e-06 2.1323528e-06 2.7304964e-06 3.4964246e-06 4.4772022e-06 5.7330966e-06 7.3412804e-06 9.4005738e-06 1.2037517e-05 1.5414146e-05 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0.0000000e+00 0.0000000e+00 0.0000000e+00 +--- diff --git a/benchmarks/ekobox/genpdf/benchmark_cli.py b/benchmarks/ekobox/genpdf/benchmark_cli.py new file mode 100644 index 000000000..5a9cdedde --- /dev/null +++ b/benchmarks/ekobox/genpdf/benchmark_cli.py @@ -0,0 +1,57 @@ +# -*- coding: utf-8 -*- +import pathlib + +import pytest +from banana.utils import lhapdf_path +from click.testing import CliRunner + +from ekobox.genpdf.cli import cli + +test_pdf = pathlib.Path(__file__).parents[1] / "fakepdf" + +lhapdf = pytest.importorskip("lhapdf") + + +@pytest.mark.isolated +def benchmark_genpdf_CLI_messages(): + runner = CliRunner() + result = runner.invoke(cli, ["generate"]) + assert "Error: Missing argument 'NAME'." in result.output + result = runner.invoke(cli, ["install"]) + assert "Error: Missing argument 'NAME'." in result.output + result = runner.invoke(cli, ["generate", "--help"]) + assert "-p, --parent-pdf-set TEXT" in result.output + assert "-m, --members" in result.output + assert "-i, --install" in result.output + + +@pytest.mark.isolated +def benchmark_genpdf_CLI(tmp_path): + runner = CliRunner() + with runner.isolated_filesystem(temp_dir=tmp_path): + result = runner.invoke(cli, ["generate", "debug", "g"]) + assert result.exit_code == 0 + result1 = runner.invoke(cli, ["generate", "debug1", "21", "-p", "toy"]) + assert result1.exit_code == 0 + with lhapdf_path(test_pdf): + result2 = runner.invoke( + cli, ["generate", "debug2", "21", "-p", "myCT14llo_NF3", "-m"] + ) + assert result2.exit_code == 0 + + result5 = runner.invoke( + cli, ["generate", "-p", "NNPDF40_nnlo_as_01180", "n4uonly", "2"] + ) + assert result5.exit_code == 0 + d = tmp_path / "sub" + d.mkdir() + with lhapdf_path(d): + result3 = runner.invoke(cli, ["generate", "debug3", "21", "-i"]) + assert result3.exit_code == 0 + _ = lhapdf.mkPDF("debug3", 0) + result4 = runner.invoke(cli, ["install", "debug"]) + assert result4.exit_code == 0 + result6 = runner.invoke(cli, ["install", "n4uonly"]) + assert result6.exit_code == 0 + _ = lhapdf.mkPDF("debug", 0) + _ = lhapdf.mkPDF("n4uonly", 0) diff --git a/benchmarks/ekobox/genpdf/benchmark_export.py b/benchmarks/ekobox/genpdf/benchmark_export.py new file mode 100644 index 000000000..330aa002f --- /dev/null +++ b/benchmarks/ekobox/genpdf/benchmark_export.py @@ -0,0 +1,66 @@ +# -*- coding: utf-8 -*- +import copy +import pathlib + +import numpy as np +import pytest +from banana.utils import lhapdf_path + +from ekobox import genpdf + +test_pdf = pathlib.Path(__file__).parents[1] / "fakepdf" + +lhapdf = pytest.importorskip("lhapdf") + + +@pytest.mark.isolated +def benchmark_dump_info(tmp_path, cd): + with cd(tmp_path): + with lhapdf_path(test_pdf): + info = genpdf.load.load_info_from_file("myCT14llo_NF3") + info["SetDesc"] = "What ever I like" + genpdf.export.dump_info("new_pdf", info) + with lhapdf_path(tmp_path): + info2 = genpdf.load.load_info_from_file("new_pdf") + # my field is new + assert info2["SetDesc"] == "What ever I like" + # all the others are as before + for k, v in info.items(): + if k == "SetDesc": + continue + assert v == info2[k] + + +@pytest.mark.isolated +def benchmark_dump_blocks(tmp_path, cd): + with cd(tmp_path): + with lhapdf_path(test_pdf): + info = genpdf.load.load_info_from_file("myCT14llo_NF3") + blocks = genpdf.load.load_blocks_from_file("myCT14llo_NF3", 0)[1] + new_blocks = copy.deepcopy(blocks) + new_blocks[0]["xgrid"][0] = 1e-10 + heads = ["PdfType: debug\n"] + genpdf.export.dump_set("new_pdf", info, [new_blocks], pdf_type_list=heads) + with lhapdf_path(tmp_path): + dat = genpdf.load.load_blocks_from_file("new_pdf", 0) + head = dat[0] + assert head == "PdfType: debug\n" + blocks2 = dat[1] + assert len(blocks) == len(blocks2) + # my field is new + np.testing.assert_allclose(blocks2[0]["xgrid"][0], 1e-10) + # all the others are as before + for k, v in blocks[0].items(): + if k == "xgrid": + continue + np.testing.assert_allclose(v, blocks2[0][k]) + _pdf = lhapdf.mkPDF("new_pdf", 0) + for x in new_blocks[0]["xgrid"][1:-1]: + for q2 in new_blocks[0]["Q2grid"]: + data_from_block = new_blocks[0]["data"][ + new_blocks[0]["Q2grid"].index(q2) + + len(new_blocks[0]["Q2grid"]) + * list(new_blocks[0]["xgrid"]).index(x) + ][6] + data_from_pdf = _pdf.xfxQ2(21, x, q2) + np.testing.assert_allclose(data_from_block, data_from_pdf) diff --git a/benchmarks/ekobox/genpdf/benchmark_flavors.py b/benchmarks/ekobox/genpdf/benchmark_flavors.py new file mode 100644 index 000000000..010dc7408 --- /dev/null +++ b/benchmarks/ekobox/genpdf/benchmark_flavors.py @@ -0,0 +1,159 @@ +# -*- coding: utf-8 -*- +import pathlib + +import numpy as np +import pytest +from banana.utils import lhapdf_path + +from eko import basis_rotation as br +from ekobox import genpdf + +test_pdf = pathlib.Path(__file__).parents[1] / "fakepdf" + +lhapdf = pytest.importorskip("lhapdf") + + +@pytest.mark.isolated +def benchmark_is_evolution(): + assert genpdf.flavors.is_evolution_labels(["V", "T3"]) + assert not genpdf.flavors.is_evolution_labels(["21", "2"]) + + +@pytest.mark.isolated +def benchmark_is_pids(): + assert not genpdf.flavors.is_pid_labels(["V", "T3"]) + assert not genpdf.flavors.is_pid_labels(["35", "9"]) + assert not genpdf.flavors.is_pid_labels({}) + assert genpdf.flavors.is_pid_labels([21, 2]) + + +@pytest.mark.isolated +def benchmark_flavors_pid_to_flavor(): + flavs = genpdf.flavors.pid_to_flavor([1, 2, 21, -3]) + for f in flavs: + for g in flavs: + if not np.allclose(f, g): + assert f @ g == 0 + + +@pytest.mark.isolated +def benchmark_flavors_evol_to_flavor(): + flavs = genpdf.flavors.evol_to_flavor(["S", "g", "T3", "V8"]) + for f in flavs: + for g in flavs: + if not np.allclose(f, g): + assert f @ g == 0 + + +@pytest.mark.isolated +def benchmark_flavors_pids_ct14(tmp_path, cd): + with cd(tmp_path): + # read the debug PDFs + with lhapdf_path(test_pdf): + info = genpdf.load.load_info_from_file("myCT14llo_NF3") + blocks = genpdf.load.load_blocks_from_file("myCT14llo_NF3", 0)[1] + pdf = lhapdf.mkPDF("myCT14llo_NF3", 0) + # now extract the gluon + new_blocks = genpdf.flavors.project(blocks, genpdf.flavors.pid_to_flavor([21])) + info["Flavors"] = br.flavor_basis_pids + info["NumFlavors"] = len(br.flavor_basis_pids) + genpdf.export.dump_set("test_flavors_pids_ct14", info, [new_blocks]) + with lhapdf_path(tmp_path): + gonly = lhapdf.mkPDF("test_flavors_pids_ct14", 0) + # all quarks are 0 + for pid in [1, 2, -3]: + for x in [1e-2, 0.1, 0.9]: + for Q2 in [10, 100]: + np.testing.assert_allclose(gonly.xfxQ2(pid, x, Q2), 0.0) + # and the gluon in as before + for x in [1e-2, 0.1, 0.9]: + for Q2 in [10, 100]: + np.testing.assert_allclose( + pdf.xfxQ2(21, x, Q2), gonly.xfxQ2(21, x, Q2) + ) + + +@pytest.mark.isolated +def benchmark_flavors_evol_ct14(tmp_path, cd): + with cd(tmp_path): + # read the debug PDFs + with lhapdf_path(test_pdf): + info = genpdf.load.load_info_from_file("myCT14llo_NF3") + blocks = genpdf.load.load_blocks_from_file("myCT14llo_NF3", 0)[1] + pdf = lhapdf.mkPDF("myCT14llo_NF3", 0) + # now extract the gluon + new_blocks = genpdf.flavors.project( + blocks, genpdf.flavors.evol_to_flavor(["g"]) + ) + info["Flavors"] = br.flavor_basis_pids + info["NumFlavors"] = len(br.flavor_basis_pids) + genpdf.export.dump_set("test_flavors_evol_ct14", info, [new_blocks]) + with lhapdf_path(tmp_path): + gonly = lhapdf.mkPDF("test_flavors_evol_ct14", 0) + # all quarks are 0 + for pid in [1, 2, -3]: + for x in [1e-2, 0.1, 0.9]: + for Q2 in [10, 100]: + np.testing.assert_allclose(gonly.xfxQ2(pid, x, Q2), 0.0) + # and the gluon in as before + for x in [1e-2, 0.1, 0.9]: + for Q2 in [10, 100]: + np.testing.assert_allclose( + pdf.xfxQ2(21, x, Q2), gonly.xfxQ2(21, x, Q2) + ) + + +@pytest.mark.isolated +def benchmark_flavors_evol_raw(): + blocks = [ + { + "Q2grid": np.array([1, 2]), + "xgrid": np.array([0.1, 1.0]), + "pids": np.array([-1, 21, 1]), + "data": np.array([[0.1, 0.2, 0.1]] * 4), + } + ] + gonly = genpdf.flavors.project(blocks, genpdf.flavors.evol_to_flavor(["g"])) + assert len(gonly) == 1 + np.testing.assert_allclose( + gonly[0]["data"], + np.array( + [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]] * 4 + ), + ) + Sonly = genpdf.flavors.project(blocks, genpdf.flavors.evol_to_flavor(["S"])) + assert len(Sonly) == 1 + for i in [0, 1, 2, 3]: + # g and gamma are zero + np.testing.assert_allclose(Sonly[0]["data"][i][7], 0) + np.testing.assert_allclose(Sonly[0]["data"][i][0], 0) + # quark are all equal and equal to anti-quarks + for pid in [2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13]: + np.testing.assert_allclose(Sonly[0]["data"][i][pid], Sonly[0]["data"][i][1]) + + +@pytest.mark.isolated +def benchmark_flavors_evol_nodata(): + # try with a block without data + blocks = [ + { + "Q2grid": np.array([1, 2]), + "xgrid": np.array([0.1, 1.0]), + "pids": np.array([-1, 21, 1]), + "data": np.array([]), + }, + { + "Q2grid": np.array([1, 2]), + "xgrid": np.array([0.1, 1.0]), + "pids": np.array([-1, 21, 1]), + "data": np.array([[0.1, 0.2, 0.1]] * 4), + }, + ] + gonly = genpdf.flavors.project(blocks, genpdf.flavors.evol_to_flavor(["g"])) + assert len(gonly) == 2 + np.testing.assert_allclose( + gonly[1]["data"], + np.array( + [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]] * 4 + ), + ) diff --git a/benchmarks/ekobox/genpdf/benchmark_init.py b/benchmarks/ekobox/genpdf/benchmark_init.py new file mode 100644 index 000000000..3e23e8006 --- /dev/null +++ b/benchmarks/ekobox/genpdf/benchmark_init.py @@ -0,0 +1,186 @@ +# -*- coding: utf-8 -*- +import pathlib + +import numpy as np +import pytest +from banana import toy +from banana.utils import lhapdf_path + +from eko import basis_rotation as br +from ekobox import genpdf + +test_pdf = pathlib.Path(__file__).parents[1] / "fakepdf" + +lhapdf = pytest.importorskip("lhapdf") + + +@pytest.mark.isolated +def benchmark_genpdf_exceptions(tmp_path, cd): + # using a wrong label and then a wrong parent pdf + with cd(tmp_path): + with pytest.raises(TypeError): + genpdf.generate_pdf( + "test_genpdf_exceptions1", + ["f"], + { + 21: lambda x, Q2: 3.0 * x * (1.0 - x), + 2: lambda x, Q2: 4.0 * x * (1.0 - x), + }, + ) + with pytest.raises(ValueError): + genpdf.generate_pdf( + "test_genpdf_exceptions2", + ["g"], + 10, + ) + with pytest.raises(FileExistsError): + genpdf.install_pdf("foo") + + with pytest.raises(TypeError): + genpdf.generate_pdf("debug", [21], info_update=(10, 15, 20)) + + +@pytest.mark.isolated +def benchmark_genpdf_no_parent_and_install(tmp_path, cd): + with cd(tmp_path): + d = tmp_path / "sub" + d.mkdir() + with lhapdf_path(d): + genpdf.generate_pdf("test_genpdf_no_parent_and_install", [21], install=True) + with lhapdf_path(d): + pdf = lhapdf.mkPDF("test_genpdf_no_parent_and_install", 0) + for x in [0.1, 0.2, 0.8]: + for Q2 in [10.0, 20.0, 100.0]: + np.testing.assert_allclose( + pdf.xfxQ2(21, x, Q2), x * (1.0 - x), rtol=3e-5 + ) + np.testing.assert_allclose(pdf.xfxQ2(2, x, Q2), 0.0) + + +@pytest.mark.isolated +def benchmark_genpdf_toy(tmp_path, cd): + with cd(tmp_path): + toylh = toy.mkPDF("", 0) + genpdf.generate_pdf( + "test_genpdf_toy", + [21], + "toy", + info_update={"NumFlavors": 25, "Debug": "Working"}, + ) + with lhapdf_path(tmp_path): + # testing info updating + info = genpdf.load.load_info_from_file("test_genpdf_toy") + assert info["Debug"] == "Working" + + pdf = lhapdf.mkPDF("test_genpdf_toy", 0) + for x in [0.1, 0.2, 0.5]: + for Q2 in [10.0, 20.0, 100.0]: + np.testing.assert_allclose( + pdf.xfxQ2(21, x, Q2), toylh.xfxQ2(21, x, Q2), rtol=3e-5 + ) + np.testing.assert_allclose(pdf.xfxQ2(2, x, Q2), 0.0) + + +@pytest.mark.isolated +def benchmark_genpdf_parent_evolution_basis(tmp_path, cd): + with cd(tmp_path): + with lhapdf_path(test_pdf): + CT14 = lhapdf.mkPDF("myCT14llo_NF3", 0) + genpdf.generate_pdf( + "test_genpdf_parent_evolution_basis", ["g"], "myCT14llo_NF3" + ) + with lhapdf_path(tmp_path): + pdf = lhapdf.mkPDF("test_genpdf_parent_evolution_basis", 0) + for x in [0.1, 0.2, 0.5]: + for Q2 in [10.0, 20.0, 100.0]: + np.testing.assert_allclose( + pdf.xfxQ2(21, x, Q2), CT14.xfxQ2(21, x, Q2), rtol=3e-5 + ) + np.testing.assert_allclose(pdf.xfxQ2(2, x, Q2), 0.0) + + +@pytest.mark.isolated +def benchmark_genpdf_dict(tmp_path, cd): + with cd(tmp_path): + genpdf.generate_pdf( + "test_genpdf_dict", + [21], + { + 21: lambda x, Q2: 3.0 * x * (1.0 - x), + 2: lambda x, Q2: 4.0 * x * (1.0 - x), + }, + ) + with lhapdf_path(tmp_path): + pdf = lhapdf.mkPDF("test_genpdf_dict", 0) + for x in [0.1, 0.2, 0.8]: + for Q2 in [10.0, 20.0, 100.0]: + np.testing.assert_allclose( + pdf.xfxQ2(21, x, Q2), 3.0 * x * (1.0 - x), rtol=3e-5 + ) + # 2 is available, but not active + np.testing.assert_allclose(pdf.xfxQ2(2, x, Q2), 0.0) + + +@pytest.mark.isolated +def benchmark_genpdf_custom(tmp_path, cd): + with cd(tmp_path): + c = np.zeros_like(br.flavor_basis_pids, dtype=np.float_) + c[br.flavor_basis_pids.index(1)] = 1.0 + c[br.flavor_basis_pids.index(2)] = 0.5 + genpdf.generate_pdf( + "test_genpdf_custom", + [c], + { + 1: lambda x, Q2: 2.0 * x * (1.0 - x), + 2: lambda x, Q2: -4.0 * x * (1.0 - x), + }, + info_update={"ForcePositive": 0}, + ) + with lhapdf_path(tmp_path): + pdf = lhapdf.mkPDF("test_genpdf_custom", 0) + for x in [0.1, 0.2, 0.8]: + for Q2 in [10.0, 20.0, 100.0]: + # np.testing.assert_allclose( + # pdf.xfxQ2(1, x, Q2), + # 0.0,err_msg=f"pid=1,x={x},Q2={Q2}" + # ) + np.testing.assert_allclose( + pdf.xfxQ2(2, x, Q2), 0.0, err_msg=f"pid=2,x={x},Q2={Q2}" + ) + + +@pytest.mark.isolated +def benchmark_genpdf_allflavors(tmp_path, cd): + with cd(tmp_path): + for setname in ("myMSTW2008nlo90cl", "myNNPDF31_nlo_as_0118"): + with lhapdf_path(test_pdf): + # load reference PDFs + ref = {} + ref_head = {} + for mem in range(1 + 1): + ref[mem] = lhapdf.mkPDF(setname, mem) + ref_head[mem] = genpdf.load.load_blocks_from_file(setname, mem)[0] + # filtering on all flavors + genpdf.generate_pdf( + "test_genpdf_" + setname, + [21, 1, 2, 3, 4, 5, 6, -1, -2, -3, -4, -5, -6], + setname, + members=True, + ) + with lhapdf_path(tmp_path): + for mem in range(1 + 1): + pdf = lhapdf.mkPDF("test_genpdf_" + setname, mem) + head = genpdf.load.load_blocks_from_file( + "test_genpdf_" + setname, mem + )[0] + assert head == ref_head[mem] + # testing for some pids, x and Q2 values + for pid in [21, 1, 2, -3, -5]: + for x in [0.1, 0.2, 0.8]: + for Q2 in [10.0, 20.0, 100.0]: + np.testing.assert_allclose( + pdf.xfxQ2(pid, x, Q2), + ref[mem].xfxQ2(pid, x, Q2), + err_msg=f"mem={mem}, pid={pid}, x={x}, Q2={Q2}", + rtol=1e6, + ) diff --git a/benchmarks/ekobox/genpdf/benchmark_load.py b/benchmarks/ekobox/genpdf/benchmark_load.py new file mode 100644 index 000000000..34656b987 --- /dev/null +++ b/benchmarks/ekobox/genpdf/benchmark_load.py @@ -0,0 +1,55 @@ +# -*- coding: utf-8 -*- +import pathlib + +import numpy as np +import pytest +from banana.utils import lhapdf_path + +from ekobox import genpdf + +test_pdf = pathlib.Path(__file__).parents[1] / "fakepdf" + +lhapdf = pytest.importorskip("lhapdf") + + +@pytest.mark.isolated +def benchmark_load_data_ct14(): + with lhapdf_path(test_pdf): + blocks = genpdf.load.load_blocks_from_file("myCT14llo_NF3", 0)[1] + assert len(blocks) == 1 + b0 = blocks[0] + assert isinstance(b0, dict) + assert sorted(b0.keys()) == sorted(["pids", "xgrid", "Q2grid", "data"]) + assert sorted(b0["pids"]) == sorted([-3, -2, -1, 21, 1, 2, 3]) + assert len(b0["data"].T) == 7 + np.testing.assert_allclose(b0["xgrid"][0], 1e-9) + + +@pytest.mark.isolated +def benchmark_load_data_mstw(): + with lhapdf_path(test_pdf): + blocks = genpdf.load.load_blocks_from_file("myMSTW2008nlo90cl", 0)[1] + assert len(blocks) == 3 + b0 = blocks[0] + assert isinstance(b0, dict) + assert sorted(b0.keys()) == sorted(["pids", "xgrid", "Q2grid", "data"]) + assert sorted(b0["pids"]) == sorted([-5, -4, -3, -2, -1, 21, 1, 2, 3, 4, 5]) + np.testing.assert_allclose(b0["xgrid"][0], 1e-6) + + +@pytest.mark.isolated +def benchmark_load_info(): + with lhapdf_path(test_pdf): + info = genpdf.load.load_info_from_file("myCT14llo_NF3") + assert "SetDesc" in info + assert "fake" in info["SetDesc"] + assert sorted(info["Flavors"]) == sorted([-3, -2, -1, 21, 1, 2, 3]) + + +@pytest.mark.isolated +def benchmark_load_head(): + with lhapdf_path(test_pdf): + head_zero = genpdf.load.load_blocks_from_file("myMSTW2008nlo90cl", 0)[0] + head_one = genpdf.load.load_blocks_from_file("myMSTW2008nlo90cl", 1)[0] + assert head_zero == "PdfType: central\n" + assert head_one == "PdfType: error\n" diff --git a/benchmarks/sandbox.py b/benchmarks/sandbox.py index efa655934..9ca7d6f6a 100644 --- a/benchmarks/sandbox.py +++ b/benchmarks/sandbox.py @@ -46,7 +46,7 @@ class Sandbox(Runner): # external = "pegasus" # select to plot operators - plot_operator = False + plot_operator = True rotate_to_evolution_basis = True @@ -74,17 +74,31 @@ def doit(self): } # t0 = theory_updates.copy() # t0["PTO"] = 0 + # self.skip_pdfs = lambda _theory: [ + # 22, + # -6, + # 6, + # "ph", + # "V35", + # "V24", + # "V15", + # "V8", + # "T35", + # ] self.skip_pdfs = lambda _theory: [ 22, -6, 6, - "ph", - "V35", - "V24", - "V15", - "V8", - "T35", + 108, + 115, + 224, + 235, + 124, + 135, + 208, + 215, ] + self.run( [theory_updates], # , t0], operators.build(self.generate_operators()), @@ -96,7 +110,7 @@ def doit(self): def lha(self): theory_updates = { - "PTO": 1, + "PTO": 0, "FNS": "FFNS", "NfFF": 4, "ModEv": "EXA", diff --git a/poetry.lock b/poetry.lock index 5410f9075..708b1e231 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,3 +1,11 @@ +[[package]] +name = "a3b2bbc3ced97675ac3a71df45f55ba" +version = "6.4.0" +description = "The LHAPDF parton density evaluation library" +category = "dev" +optional = false +python-versions = "*" + [[package]] name = "alabaster" version = "0.7.12" @@ -6,6 +14,14 @@ category = "main" optional = false python-versions = "*" +[[package]] +name = "appdirs" +version = "1.4.4" +description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"." +category = "main" +optional = true +python-versions = "*" + [[package]] name = "appnope" version = "0.1.2" @@ -27,6 +43,20 @@ lazy-object-proxy = ">=1.4.0" typing-extensions = {version = ">=3.10", markers = "python_version < \"3.10\""} wrapt = ">=1.11,<1.14" +[[package]] +name = "asttokens" +version = "2.0.5" +description = "Annotate AST trees with source code positions" +category = "main" +optional = true +python-versions = "*" + +[package.dependencies] +six = "*" + +[package.extras] +test = ["astroid", "pytest"] + [[package]] name = "atomicwrites" version = "1.4.0" @@ -70,16 +100,17 @@ python-versions = "*" [[package]] name = "banana-hep" -version = "0.6.0" +version = "0.6.3" description = "Benchmark QCD physics" category = "main" optional = true -python-versions = ">=3.7.1,<3.11" +python-versions = ">=3.8.0,<3.11" [package.dependencies] +appdirs = ">=1.4.4,<2.0.0" click = ">=8.0.3,<9.0.0" eko = ">=0.8.2,<0.9.0" -ipython = ">=7.30.1,<8.0.0" +ipython = ">=8.1.0,<9.0.0" matplotlib = ">=3.5.1,<4.0.0" numpy = ">=1.21.0,<2.0.0" pandas = ">=1.3.5,<2.0.0" @@ -142,7 +173,7 @@ unicode_backport = ["unicodedata2"] [[package]] name = "click" -version = "8.0.3" +version = "8.0.4" description = "Composable command line interface toolkit" category = "main" optional = false @@ -172,7 +203,7 @@ test = ["flake8 (==3.7.8)", "hypothesis (==3.55.3)"] [[package]] name = "coverage" -version = "6.3.1" +version = "6.3.2" description = "Code coverage measurement for Python" category = "dev" optional = false @@ -216,6 +247,14 @@ category = "main" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +[[package]] +name = "executing" +version = "0.8.3" +description = "Get the currently executing AST node of a frame, and other information" +category = "main" +optional = true +python-versions = "*" + [[package]] name = "fancycompleter" version = "0.9.1" @@ -230,7 +269,7 @@ pyrepl = ">=0.8.2" 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sphinxcontrib-bibtex = { version = "^2.4.1", optional = true } # ekomark -banana-hep = { version = "^0.6.0", optional = true } +banana-hep = { version = "^0.6.3", optional = true } sqlalchemy = { version = "^1.4.21", optional = true } pandas = { version = "^1.3.0", optional = true } matplotlib = { version = "^3.5.1", optional = true } [tool.poetry.dev-dependencies] -black = "^22.1.0" -isort = "^5.10.1" pylint = "^2.12.2" pre-commit = "^2.16.0" pdbpp = "^0.10.3" pytest = "^6.2.5" pytest-cov = "^3.0.0" pytest-env = "^0.6.2" +a3b2bbc3ced97675ac3a71df45f55ba = "^6.4.0" # = lhapdf # benchmark Sphinx = "^4.3.2" sphinx-rtd-theme = "^1.0.0" @@ -60,6 +59,7 @@ sphinxcontrib-bibtex = "^2.4.1" [tool.poetry.extras] docs = ["sphinx", "sphinx-rtd-theme", "sphinxcontrib-bibtex"] mark = ["banana-hep", "sqlalchemy", "pandas", "matplotlib"] +box = ["banana-hep", "sqlalchemy", "pandas", "matplotlib"] [tool.poetry-dynamic-versioning] enable = true @@ -74,16 +74,15 @@ files = ["src/eko/version.py"] ekonav = "ekomark.navigator:launch_navigator" [tool.poe.tasks] -# until https://github.com/numba/numba/pull/5660 is confirmed we need to deactivate numba prior running -test = { "shell" = "pytest tests" } +test = "pytest tests" +bench = "pytest benchmarks" +bench-iso = "pytest benchmarks -m isolated" +bench-run = "pytest benchmarks -m 'not isolated'" lint = "pylint src/**/*.py -E" lint-warnings = "pylint src/**/*.py --exit-zero" sandbox = "python benchmarks/sandbox.py" nav = "ekonav" navigator = "ekonav" -black = "black ." -isort = "isort ." -format = ["black", "isort"] docs = { "shell" = "cd doc; make html" } docs-view = { "shell" = "cd doc; make view" } docs-server = { "shell" = "cd doc; make server" } @@ -91,18 +90,34 @@ docs-clean = { "shell" = "cd doc; make clean" } docs-cleanall = { "shell" = "cd doc; make cleanall" } [tool.pytest.ini_options] -testpaths = ['tests/'] #, 'benchmarks/'] +testpaths = ['tests/', 'benchmarks/'] python_files = ['test_*.py', 'benchmark_*.py', 'regression.py'] python_classes = ['Test*', 'Benchmark*'] python_functions = ['test_*', 'benchmark_*'] addopts = [ '--cov=eko', + # '--cov=ekobox', '--cov-report=html', '--cov-report=xml', '--strict-markers', ] env = ["NUMBA_DISABLE_JIT=1"] +markers = ["isolated: marks benchmarks as isolated"] -[tool.isort] -profile = "black" -extend_skip_glob = ["env/*"] +[tool.pylint.master] +# extensions not to check +extension-pkg-whitelist=["numpy","numba","lhapdf","pegasus"] +ignore-paths=["benchmarks/","doc/","tests/"] +jobs=1 # has to be 1 as pylint is NOT threadsafe +[tool.pylint.messages_control] +disable=["invalid-name","fixme"] +[tool.pylint.reports] +# Available formats are: +# text, parseable, colorized, json and msvs (visual studio). +output-format="colorized" +[tool.pylint.format] +# Maximum number of characters on a single line. +max-line-length=100 +[tool.pylint.design] +# Maximum number of arguments for function / method +max-args=10 diff --git a/src/eko/output.py b/src/eko/output.py index e51eaa2ba..c6a16af87 100644 --- a/src/eko/output.py +++ b/src/eko/output.py @@ -1,6 +1,6 @@ # -*- coding: utf-8 -*- """ - This file contains the output management +This file contains the output management """ import io import logging @@ -25,95 +25,6 @@ class Output(dict): to PDFs and dumping to file. """ - def apply_pdf(self, lhapdf_like, targetgrid=None, rotate_to_evolution_basis=False): - """ - Apply all available operators to the input PDFs. - - Parameters - ---------- - lhapdf_like : object - object that provides an xfxQ2 callable (as `lhapdf `_ - and :class:`ekomark.toyLH.toyPDF` do) (and thus is in flavor basis) - targetgrid : list - if given, interpolates to the PDFs given at targetgrid (instead of xgrid) - rotate_to_evolution_basis : bool - if True rotate to evolution basis - - Returns - ------- - out_grid : dict - output PDFs and their associated errors for the computed Q2grid - """ - if rotate_to_evolution_basis: - return self.apply_pdf_flavor( - lhapdf_like, targetgrid, br.rotate_flavor_to_evolution - ) - return self.apply_pdf_flavor(lhapdf_like, targetgrid) - - def apply_pdf_flavor(self, lhapdf_like, targetgrid=None, flavor_rotation=None): - """ - Apply all available operators to the input PDFs. - - Parameters - ---------- - lhapdf_like : object - object that provides an xfxQ2 callable (as `lhapdf `_ - and :class:`ekomark.toyLH.toyPDF` do) (and thus is in flavor basis) - targetgrid : list - if given, interpolates to the PDFs given at targetgrid (instead of xgrid) - flavor_rotation : np.ndarray - Rotation matrix in flavor space - - Returns - ------- - out_grid : dict - output PDFs and their associated errors for the computed Q2grid - """ - # create PDFs - pdfs = np.zeros((len(self["inputpids"]), len(self["inputgrid"]))) - for j, pid in enumerate(self["inputpids"]): - if not lhapdf_like.hasFlavor(pid): - continue - pdfs[j] = np.array( - [ - lhapdf_like.xfxQ2(pid, x, self["q2_ref"]) / x - for x in self["inputgrid"] - ] - ) - - # build output - out_grid = {} - for q2, elem in self["Q2grid"].items(): - pdf_final = np.einsum("ajbk,bk", elem["operators"], pdfs) - error_final = np.einsum("ajbk,bk", elem["operator_errors"], pdfs) - out_grid[q2] = { - "pdfs": dict(zip(self["targetpids"], pdf_final)), - "errors": dict(zip(self["targetpids"], error_final)), - } - - # rotate to evolution basis - if flavor_rotation is not None: - for q2, op in out_grid.items(): - pdf = flavor_rotation @ np.array( - [op["pdfs"][pid] for pid in br.flavor_basis_pids] - ) - errors = flavor_rotation @ np.array( - [op["errors"][pid] for pid in br.flavor_basis_pids] - ) - op["pdfs"] = dict(zip(br.evol_basis, pdf)) - op["errors"] = dict(zip(br.evol_basis, errors)) - - # rotate/interpolate to target grid - if targetgrid is not None: - b = interpolation.InterpolatorDispatcher.from_dict(self, False) - rot = b.get_interpolation(targetgrid) - for op in out_grid.values(): - for pdf_label in op["pdfs"]: - op["pdfs"][pdf_label] = np.matmul(rot, op["pdfs"][pdf_label]) - op["errors"][pdf_label] = np.matmul(rot, op["errors"][pdf_label]) - - return out_grid - def xgrid_reshape(self, targetgrid=None, inputgrid=None): """ Changes the operators to have in the output targetgrid and/or in the input inputgrid. @@ -480,7 +391,6 @@ def load_tar(cls, tarname): obj : output loaded object """ - tarpath = pathlib.Path(tarname) with tempfile.TemporaryDirectory() as tmpdir: diff --git a/src/ekobox/__init__.py b/src/ekobox/__init__.py new file mode 100644 index 000000000..3ce63bd8f --- /dev/null +++ b/src/ekobox/__init__.py @@ -0,0 +1,4 @@ +# -*- coding: utf-8 -*- +from ekomark import apply + +from . import evol_pdf, gen_info, gen_op, gen_theory diff --git a/src/ekobox/evol_pdf.py b/src/ekobox/evol_pdf.py new file mode 100644 index 000000000..a1690f868 --- /dev/null +++ b/src/ekobox/evol_pdf.py @@ -0,0 +1,126 @@ +# -*- coding: utf-8 -*- +import pathlib + +import eko +from eko import basis_rotation as br +from ekomark import apply + +from . import gen_info, genpdf + + +def evolve_pdfs( + initial_PDF_list, + theory_card, + operators_card, + path=None, + targetgrid=None, + install=False, + name="Evolved_PDF", + info_update=None, +): + """ + This function evolves an initial_PDF using a theory card and an operator card + and dump the evolved PDF in lhapdf format + + Parameters + ---------- + initial_PDF_list : list(lhapdf object) + list of PDF members to be evolved + + theory_card : dict + theory card + + operators_card : dict + operators card + + path : str + path to cached eko output (if "None" it will be recomputed) + + targetgrid : list(float) + target x-grid (if different from input x-grid) + + install : bool + set whether to install evolved PDF to lhapdf directory + + name : str + set name of evolved PDF + + info_update : dict + dict of info to add or update to default info file + + """ + eko_output = None + if path is not None: + my_path = pathlib.Path(path) + if my_path.is_dir(): + ops_id = f"o{operators_card['hash'][:6]}_t{theory_card['hash'][:6]}.tar" + ops_id_path = pathlib.Path(ops_id) + outpath = my_path / ops_id_path.relative_to(ops_id_path.anchor) + eko_output = eko.output.Output.load_tar(outpath) + else: + eko_output = eko.output.Output.load_tar(my_path) + else: + eko_output = eko.run_dglap(theory_card, operators_card) + + evolved_PDF_list = [] + for initial_PDF in initial_PDF_list: + evolved_PDF_list.append(apply.apply_pdf(eko_output, initial_PDF, targetgrid)) + + if targetgrid is None: + targetgrid = operators_card["interpolation_xgrid"] + if info_update is None: + info_update = {} + info_update["XMin"] = targetgrid[0] + info_update["XMax"] = targetgrid[-1] + info = gen_info.create_info_file( + theory_card, + operators_card, + len(evolved_PDF_list), + info_update=info_update, + ) + all_member_blocks = [] + all_blocks = [] + for evolved_PDF in evolved_PDF_list: + block = genpdf.generate_block( + lambda pid, x, Q2, evolved_PDF=evolved_PDF: targetgrid[targetgrid.index(x)] + * evolved_PDF[Q2]["pdfs"][pid][targetgrid.index(x)], + xgrid=targetgrid, + Q2grid=operators_card["Q2grid"], + pids=br.flavor_basis_pids, + ) + # all_blocks will be useful in case there will be necessity to dump many blocks + # for a single member + all_blocks.append(block) + all_member_blocks.append(all_blocks) + + genpdf.export.dump_set(name, info, all_member_blocks) + + if install: + genpdf.install_pdf(name) + + +def gen_out(theory_card, op_card, path=None): + """ + Generates EKO output from theory and operators cards and, if requested, + dumps it in tar format + + Parameters + ---------- + theory_card : dict + theory card + op_card : dict + operators card + path : str + path of dumped output (if "None" output is not dumped) + + Returns + ------- + : eko.output.Output + eko output + """ + eko_output = eko.run_dglap(theory_card, op_card) + if path is not None: + ops_id = f"o{op_card['hash'][:6]}_t{theory_card['hash'][:6]}" + path = f"{path}/{ops_id}.tar" + eko_output.dump_tar(path) + return eko_output diff --git a/src/ekobox/gen_info.py b/src/ekobox/gen_info.py new file mode 100644 index 000000000..7deab82e9 --- /dev/null +++ b/src/ekobox/gen_info.py @@ -0,0 +1,51 @@ +# -*- coding: utf-8 -*- +import copy +import math + +from .genpdf import load + + +def create_info_file(theory_card, operators_card, num_members, info_update): + """ + Generate a lhapdf info file from theory and operators card + + Parameters + ---------- + theory_card : dict + theory card + operators_card : dict + operators_card + num_members : int + number of pdf set members + info_update : dict + info to update + + Returns + ------- + : dict + info file in lhapdf format + """ + template_info = copy.deepcopy(load.template_info) + template_info["SetDesc"] = "Evolved PDF from " + str(theory_card["Q0"]) + " GeV" + template_info["Authors"] = "" + template_info["FlavorScheme"] = "variable" + template_info.update(info_update) + template_info["NumFlavors"] = 14 + template_info["Flavors"] = [-6, -5, -4, -3, -2, -1, 1, 2, 3, 4, 5, 6, 21, 22] + template_info["XMin"] = operators_card["interpolation_xgrid"][0] + template_info["XMax"] = operators_card["interpolation_xgrid"][-1] + template_info["NumMembers"] = num_members + template_info["OrderQCD"] = theory_card["PTO"] + template_info["QMin"] = round(math.sqrt(operators_card["Q2grid"][0]), 4) + template_info["QMax"] = round(math.sqrt(operators_card["Q2grid"][-1]), 4) + template_info["MZ"] = theory_card["MZ"] + template_info["MUp"] = 0.0 + template_info["MDown"] = 0.0 + template_info["MStrange"] = 0.0 + template_info["MCharm"] = theory_card["mc"] + template_info["MBottom"] = theory_card["mb"] + template_info["MTop"] = theory_card["mt"] + template_info["AlphaS_MZ"] = theory_card["alphas"] + template_info["AlphaS_OrderQCD"] = theory_card["PTO"] + # NB: Maybe I need the actual operator to obtain AlphaS_Qs + return template_info diff --git a/src/ekobox/gen_op.py b/src/ekobox/gen_op.py new file mode 100644 index 000000000..9193d2c15 --- /dev/null +++ b/src/ekobox/gen_op.py @@ -0,0 +1,78 @@ +# -*- coding: utf-8 -*- +import copy + +import yaml +from banana.data import sql + +from ekomark.data import operators + + +def gen_op_card(Q2grid, update=None, name=None): + """ + Generates an operator card with some mandatory user choice + (in this case only the Q2 grid) and some default values which + can be changed by the update input dict + + Parameters + ---------- + Q2grid : list(float) + grid for Q2 + update : dict + dictionary of info to update in op. card + name : str + name of exported op.card (if name not None) + Returns + ------- + : dict + operator card + """ + # Constructing the dictionary with some default value + def_op = copy.deepcopy(operators.default_card) + # Adding the mandatory inputs + def_op["Q2grid"] = Q2grid + if isinstance(update, dict): + for k in update.keys(): + if k not in def_op.keys(): + raise ValueError("Provided key not in operators card") + def_op.update(update) + serialized = sql.serialize(def_op) + def_op["hash"] = (sql.add_hash(serialized))[-1] + if name is not None: + export_op_card(name, def_op) + return def_op + + +def export_op_card(name, op): + """ + Export the operators card in the current directory + + Parameters + ---------- + name : str + name of the op. card to export + + op : dict + op card + """ + target = f"{name}.yaml" + with open(target, "w", encoding="utf-8") as out: + yaml.safe_dump(op, out) + + +def import_op_card(path): + """ + Import the operators card specified by path + + Parameters + ---------- + path : str + path to op. card in yaml format + + Returns + ------- + : dict + op card + """ + with open(path, "r", encoding="utf-8") as o: + op = yaml.safe_load(o) + return op diff --git a/src/ekobox/gen_theory.py b/src/ekobox/gen_theory.py new file mode 100644 index 000000000..69fba7cdd --- /dev/null +++ b/src/ekobox/gen_theory.py @@ -0,0 +1,84 @@ +# -*- coding: utf-8 -*- +import copy + +import yaml +from banana.data import sql, theories + + +def gen_theory_card(pto, initial_scale, update=None, name=None): + """ + Generates a theory card with some mandatory user choice and some + default values which can be changed by the update input dict + + Parameters + ---------- + + pto : int + perturbation theory order + initial_scale: float + initial scale of evolution + update : dict + info to update to default theory card + name : str + name of exported theory card (if name not None ) + + Returns + ------- + + : dict + theory card + """ + # Constructing the dictionary with some default values + theory = copy.deepcopy(theories.default_card) + # delete unuseful member + del theory["FNS"] + # Adding the mandatory inputs + theory["PTO"] = pto + theory["Q0"] = initial_scale + # Update user choice + if update is not None: + for k in update.keys(): + if k not in theory.keys(): + raise ValueError("Provided key not in theory card") + theory.update(update) + serialized = sql.serialize(theory) + theory["hash"] = (sql.add_hash(serialized))[-1] + if name is not None: + export_theory_card(name, theory) + return theory + + +def export_theory_card(name, theory): + """ + Export the theory card in the current directory + + Parameters + ---------- + name : str + name of the theory card to export + + theory : dict + theory card + """ + target = f"{name}.yaml" + with open(target, "w", encoding="utf-8") as out: + yaml.safe_dump(theory, out) + + +def import_theory_card(path): + """ + Import the theory card specified by path + + Parameters + ---------- + path : str + path to theory card in yaml format + + Returns + ------- + : dict + theory card + """ + with open(path, "r", encoding="utf-8") as o: + theory = yaml.safe_load(o) + return theory diff --git a/src/ekobox/genpdf/Toy.info b/src/ekobox/genpdf/Toy.info new file mode 100644 index 000000000..357b70071 --- /dev/null +++ b/src/ekobox/genpdf/Toy.info @@ -0,0 +1,29 @@ +SetDesc: 'Toy PDF for benchmarking purpose as defined by Les Houches QCD/SM Working Group' +SetIndex: 0 +Authors: S. Alekhin, C. Balazs, R. Ball, T. Binoth, E. Boos, M. Botje, M. Cacciari, S. Catani, V. Del Duca, M. Dobbs, S.D. Ellis, R. Field, D. de Florian, S. Forte, E. Gardi, T. Gehrmann, A. Gehrmann-De Ridder, W. Giele, E.W.N. Glover, M. Grazzini, J.-Ph. Guillet, G. Heinrich, J. Huston, I. Hinchliffe, V. Ilyin, J. Kanzaki, K. Kato, B. Kersevan, N. Kidonakis, A. Kulesza, Y. Kurihara, E. Laenen, K. Lassila-Perini, L. Lonnblad, L. Magnea, M. Mangano, K. Mazumudar, S. Moch, S. Mrenna, P. Nadolsky, P. Nason, F. Olness, F. Paige, E. Pilon, I. Puljak, J. Pumplin, E. Richter-Was, G. Salam, R. Scalise, M. Seymour, T. Sjostrand, G. Sterman, M. Tonnesmann, E. Tournefier, W. Vogelsang, A. Vogt, R. Vogt, B. Webber, C.-P. Yuan, D. Zeppenfeld +Reference: arXiv:hep-ph/0204316v1 +Format: lhagrid1 +DataVersion: 1 +NumMembers: 1 +Particle: 2212 +Flavors: [] +ForcePositive: 0 +OrderQCD: 0 +FlavorScheme: variable +NumFlavors: 3 +XMin: 1.000000e-09 +XMax: 1 +QMin: 1.295000e+00 +QMax: 100000 +MZ: 1.414 +MUp: 0 +MDown: 0 +MStrange: 0 +MCharm: 1.414 +MBottom: 4.5 +MTop: 175 +AlphaS_MZ: 0.35 +AlphaS_OrderQCD: 0 +AlphaS_Type: ipol +AlphaS_Qs: [1.295000e+00, 1.475010e+00, 1.691180e+00, 1.952560e+00, 2.270860e+00, 2.661400e+00, 3.144360e+00, 3.746580e+00, 4.504060e+00, 5.465600e+00, 6.697950e+00, 8.293410e+00, 1.038100e+01, 1.314320e+01, 1.684110e+01, 2.185310e+01, 2.873440e+01, 3.831200e+01, 5.183410e+01, 7.121450e+01, 9.943320e+01, 1.412090e+02, 2.041420e+02, 3.007030e+02, 4.517430e+02, 6.928310e+02, 1.085930e+03, 1.741380e+03, 2.860290e+03, 4.818130e+03, 8.334020e+03, 1.482260e+04, 2.714580e+04, 5.126670e+04, 1.000000e+05] +AlphaS_Vals: [4.200710e-01, 3.895640e-01, 3.619420e-01, 3.368440e-01, 3.139670e-01, 2.930520e-01, 2.738810e-01, 2.562640e-01, 2.400390e-01, 2.250660e-01, 2.112210e-01, 1.983960e-01, 1.864960e-01, 1.754390e-01, 1.651500e-01, 1.555630e-01, 1.466190e-01, 1.382660e-01, 1.304560e-01, 1.231460e-01, 1.162990e-01, 1.098790e-01, 1.038540e-01, 9.819640e-02, 9.287940e-02, 8.787930e-02, 8.317410e-02, 7.874380e-02, 7.457000e-02, 7.063560e-02, 6.692520e-02, 6.342420e-02, 6.011950e-02, 5.699860e-02, 5.405020e-02] diff --git a/src/ekobox/genpdf/__init__.py b/src/ekobox/genpdf/__init__.py new file mode 100644 index 000000000..496ef9d0b --- /dev/null +++ b/src/ekobox/genpdf/__init__.py @@ -0,0 +1,224 @@ +# -*- coding: utf-8 -*- +import copy +import pathlib +import shutil + +import numpy as np +from banana import toy + +from eko import basis_rotation as br + +from . import export, flavors, load + + +def take_data(parent_pdf_set=None, members=False): + """ + Auxiliary function for generate_pdf. It provides the info, the heads + of the member files and the blocks to be generated to generate_pdf. + + Parameters + ---------- + parent_pdf_set : + the PDF set to be used as parent + members : bool + if true every member of the parent are loaded + """ + xgrid = np.geomspace(1e-9, 1, 240) + Q2grid = np.geomspace(1.3, 1e5, 35) + # collect blocks + all_blocks = [] + info = None + heads = [] + if parent_pdf_set is None: + parent_pdf_set = { + pid: lambda x, _Q2: x * (1 - x) for pid in br.flavor_basis_pids + } + if isinstance(parent_pdf_set, str): + if parent_pdf_set in ["toylh", "toy"]: + info = copy.deepcopy(load.Toy_info) + toylh = toy.mkPDF("", 0) + all_blocks.append( + [generate_block(toylh.xfxQ2, xgrid, Q2grid, br.flavor_basis_pids)] + ) + else: + info = load.load_info_from_file(parent_pdf_set) + # iterate on members + for m in range(int(info["NumMembers"])): + dat = load.load_blocks_from_file(parent_pdf_set, m) + heads.append(dat[0]) + all_blocks.append(dat[1]) + if not members: + break + elif isinstance(parent_pdf_set, dict): + info = copy.deepcopy(load.template_info) + all_blocks.append( + [ + generate_block( + lambda pid, x, Q2: 0.0 + if pid not in parent_pdf_set + else parent_pdf_set[pid](x, Q2), + xgrid, + Q2grid, + br.flavor_basis_pids, + ) + ] + ) + else: + raise ValueError("Unknown parent pdf type") + return heads, info, all_blocks + + +def generate_pdf( + name, labels, parent_pdf_set=None, members=False, info_update=None, install=False +): + """ + Generate a new PDF from a parent PDF with a set of flavors. + + If parent_pdf_set is the name of an available PDF set, + it will be used as parent. In order to use the toy PDF + as parent, it is enough to set parent_pdf_set = "toy" or "toylh". + If parent_pdf_set is not specified, a debug PDF constructed as + x * (1-x) for every flavor will be usedas parent. + It is also possible to provide custom functions for each flavor + in the form of a dictionary: {pid: f(x,Q2)}. + + In labels it is possible to pass a list of PIDs or evolution basis + combinations to keep in the generated PDF. In order to project + on custom combinations of PIDs, it is also possible to pass a list + containing the desired factors for each flavor. + + The default behaviour is to generate only one member for a PDF set + (the zero member) but it can be changed setting to True the member flag. + + The info_update argument is a dictionary and provide to the user a way + to change the info file of the generated PDF set. If a key of info_update + matches with one key of the standard info file, the information + are updated, otherwise they are simply added. + + Turning True the value of the install flag, it is possible to autmatically + install the generated PDF to the lhapdf directory. By default install is False. + + Parameters + ---------- + name : str + target name + labels : + list of flavors + parent_pdf_set : + parent PDF + all : bool + iterate on members + install : bool + install on LHAPDF path + + Examples + -------- + To generate a PDF with a fixed function `f(x,Q2)` for some flavors + you can use the following snippet: + + >>> # f = lambda x,Q2 ... put the desired function here + >>> # mask = [list of active PIDs] + >>> generate_pdf(name, labels, parent_pdf_set={pid: f for pid in mask}) + + The |API| also provides the possibility to extract arbitrary flavor combinations: + using the debug PDF settings we can construct a "anti-QED-singlet" combination that + is usefull in debugging DIS codes since it does not couple in |LO|, but only + through the pure-singlet contributions (starting at |NNLO|) + + >>> from eko import basis_rotation as br + >>> from ekobox.tools import genpdf + >>> import numpy as np + >>> anti_qed_singlet = np.zeros_like(br.flavor_basis_pids, dtype=np.float_) + >>> anti_qed_singlet[br.flavor_basis_pids.index(1)] = -4 + >>> anti_qed_singlet[br.flavor_basis_pids.index(-1)] = -4 + >>> anti_qed_singlet[br.flavor_basis_pids.index(2)] = 1 + >>> anti_qed_singlet[br.flavor_basis_pids.index(-2)] = 1 + >>> genpdf.generate_pdf("anti_qed_singlet", [anti_qed_singlet]) + """ + pathlib.Path(name).mkdir(exist_ok=True) + # Checking label basis + is_evol = False + flavor_combinations = labels + if flavors.is_evolution_labels(labels): + is_evol = True + flavor_combinations = flavors.evol_to_flavor(labels) + elif flavors.is_pid_labels(labels): + labels = np.array(labels, dtype=np.int_) + flavor_combinations = flavors.pid_to_flavor(labels) + + # labels = verify_labels(args.labels) + heads, info, all_blocks = take_data(parent_pdf_set=parent_pdf_set, members=members) + + # filter the PDF + new_all_blocks = [] + for b in all_blocks: + new_all_blocks.append(flavors.project(b, flavor_combinations)) + + # changing info file according to user choice + if info_update is not None: + if isinstance(info_update, dict): + info.update(info_update) + else: + raise TypeError("Info to update are not in a dictionary format") + # write + info["Flavors"] = [int(pid) for pid in br.flavor_basis_pids] + info["NumFlavors"] = len(br.flavor_basis_pids) + if is_evol: + info["ForcePositive"] = 0 + info["NumMembers"] = len(new_all_blocks) + # exporting + export.dump_set(name, info, new_all_blocks, pdf_type_list=heads) + + # install + if install: + install_pdf(name) + + +def install_pdf(name): + """ + Install set into LHAPDF. + + The set to be installed has to be in the current directory. + + Parameters + ---------- + name : str + source pdf name + """ + import lhapdf # pylint: disable=import-error, import-outside-toplevel + + print(f"install_pdf {name}") + target = pathlib.Path(lhapdf.paths()[0]) + src = pathlib.Path(name) + if not src.exists(): + raise FileExistsError(src) + shutil.move(str(src), str(target)) + + +def generate_block(xfxQ2, xgrid, Q2grid, pids): + """ + Generate an LHAPDF data block from a callable + + Parameters + ---------- + xfxQ2 : callable + LHAPDF like callable + Q2grid : list(float) + Q grid + pids : list(int) + Flavors list + xgrid : list(float) + x grid + + Returns + ------- + dict : + PDF block + """ + block = dict(Q2grid=Q2grid, pids=pids, xgrid=xgrid) + data = [] + for x in xgrid: + for Q2 in Q2grid: + data.append(np.array([xfxQ2(pid, x, Q2) for pid in pids])) + block["data"] = np.array(data) + return block diff --git a/src/ekobox/genpdf/cli.py b/src/ekobox/genpdf/cli.py new file mode 100644 index 000000000..e60bd259e --- /dev/null +++ b/src/ekobox/genpdf/cli.py @@ -0,0 +1,33 @@ +# -*- coding: utf-8 -*- +""" +This module defines the CLI - see :doc:`here ` +""" + +import click + +from . import generate_pdf, install_pdf + + +@click.group() +def cli(): + pass + + +@cli.command("generate") +@click.argument("name") +@click.argument("labels", nargs=-1) +@click.option("-p", "--parent-pdf-set", default=None, help="parent pdf set") +@click.option("-m", "--members", is_flag=True, help="generate all the members") +@click.option("-i", "--install", is_flag=True, help="install into LHAPDF") +def cli_generate_pdf(name, labels, parent_pdf_set, members, install): + """Generate a new PDF from a parent set with given flavors""" + if len(labels) == 0: + raise ValueError("Labels must contain at least one element") + return generate_pdf(name, labels, parent_pdf_set, members, None, install) + + +@cli.command("install") +@click.argument("name") +def cli_install_pdf(name): + """Install the PDF on LHAPDF directory""" + return install_pdf(name) diff --git a/src/ekobox/genpdf/export.py b/src/ekobox/genpdf/export.py new file mode 100644 index 000000000..49c9e58e5 --- /dev/null +++ b/src/ekobox/genpdf/export.py @@ -0,0 +1,133 @@ +# -*- coding: utf-8 -*- +import io +import pathlib +import re + +import numpy as np +import yaml + + +def list_to_str(ls, fmt="%.6e"): + """ + Convert a list of numbers to a string + + Parameters + ---------- + ls : list(float) + list + fmt : str + format string + + Returns + ------- + str : + final string + """ + return " ".join([fmt % x for x in ls]) + + +def array_to_str(ar): + """ + Convert an array of numbers to a string + + Parameters + ---------- + ar : list(list(float)) + array + + Returns + ------- + str : + final string + """ + table = "" + for line in ar: + table += f"{line[0]:.8e} " + list_to_str(line[1:], fmt="%.8e") + "\n" + return table + + +def dump_blocks(name, member, blocks, pdf_type=None): + """ + Write LHAPDF data file. + + Parameters + ---------- + name : str + target name + member : int + PDF member + blocks : list(dict) + pdf blocks of data + inherit : str + str to be copied in the head of member files + """ + + target = pathlib.Path(name) / f"{name}_{member:04d}.dat" + target.parent.mkdir(exist_ok=True) + with open(target, "w", encoding="utf-8") as o: + if pdf_type is None: + if member == 0: + o.write("PdfType: central\n") + else: + o.write("PdfType: replica\n") + else: + o.write(pdf_type) + o.write("Format: lhagrid1\n---\n") + for b in blocks: + o.write(list_to_str(b["xgrid"]) + "\n") + o.write(list_to_str(list(np.sqrt(b["Q2grid"]))) + "\n") + o.write(list_to_str(b["pids"], "%d") + "\n") + o.write(array_to_str(b["data"])) + o.write("---\n") + + +def dump_info(name, info): + """ + Write LHAPDF info file. + + NOTE: Since LHAPDF info files are not truely yaml files, + we have to use a slightly more complicated function to + dump the info file. + + Parameters + ---------- + name : str + target name + info : dict + info dictionary + """ + target = pathlib.Path(name) / f"{name}.info" + target.parent.mkdir(exist_ok=True) + # write on string stream to capture output + stream = io.StringIO() + yaml.safe_dump(info, stream, default_flow_style=True, width=100000, line_break="\n") + cnt = stream.getvalue() + # now insert some newlines for each key + new_cnt = re.sub(r", ([A-Za-z_]+\d?):", r"\n\1:", cnt.strip()[1:-1]) + with open(target, "w", encoding="utf-8") as o: + o.write(new_cnt) + + +def dump_set(name, info, member_blocks, pdf_type_list=None): + """ + Dump a whole set. + + Parameters + ---------- + name : str + target name + info : dict + info dictionary + member_blocks : list(list(dict)) + blocks for all members + pdf_type : list(str) + list of strings to be copied in the head of member files + """ + dump_info(name, info) + for mem, blocks in enumerate(member_blocks): + if not isinstance(pdf_type_list, list): + dump_blocks(name, mem, blocks) + elif len(pdf_type_list) == 0: + dump_blocks(name, mem, blocks) + else: + dump_blocks(name, mem, blocks, pdf_type=pdf_type_list[mem]) diff --git a/src/ekobox/genpdf/flavors.py b/src/ekobox/genpdf/flavors.py new file mode 100644 index 000000000..116443419 --- /dev/null +++ b/src/ekobox/genpdf/flavors.py @@ -0,0 +1,136 @@ +# -*- coding: utf-8 -*- +import copy + +import numpy as np + +from eko import basis_rotation as br + + +def pid_to_flavor(pids): + """ + Create flavor representations from PIDs. + + Parameters + ---------- + pids : list(int) + active PIDs + + Returns + ------- + numpy.ndarray + list of reprentations for each PID + """ + ps = [] + zeros = np.zeros(len(br.flavor_basis_pids)) + for pid in pids: + p = zeros.copy() + idx = br.flavor_basis_pids.index(pid) + p[idx] = 1.0 + ps.append(p) + return np.array(ps) + + +def evol_to_flavor(labels): + """ + Create flavor representations from evolution members. + + Parameters + ---------- + labels : list(str) + active evolution distributions + + Returns + ------- + numpy.ndarray + list of reprentations for each distribution + """ + ps = [] + for label in labels: + idx = br.evol_basis.index(label) + ps.append(br.rotate_flavor_to_evolution[idx].copy()) + return np.array(ps) + + +def project(blocks, reprs): + """ + Project some combination of flavors defined by reprs from the blocks. + + Parameters + ---------- + blocks : list(dict) + PDF blocks + reprs : list(int) + active distributions in flavor representation + + Returns + ------- + list(dict) : + filtered blocks + """ + new_blocks = copy.deepcopy(blocks) + for block in new_blocks: + current_pids = block["pids"] + current_data = block["data"].T + if len(current_data) == 0: + continue + # load all flavors + flavor_data = [np.zeros_like(current_data[0]) for pid in br.flavor_basis_pids] + for pid, pdf in zip(current_pids, current_data): + idx = br.flavor_basis_pids.index(pid) + flavor_data[idx] = pdf + flavor_data = np.array(flavor_data) + new_data = np.zeros_like(flavor_data) + for elem in reprs: + proj = elem[:, np.newaxis] * elem + new_data += proj @ flavor_data / (elem @ elem) + block["pids"] = br.flavor_basis_pids + block["data"] = np.array(new_data).T + return new_blocks + + +def is_evolution_labels(labels): + """ + Check whether the labels are provided in evolution basis + + Parameters + ---------- + labels : list() + list of labels + + Returns + ------- + bool : + is evolution basis + """ + for label in labels: + if not isinstance(label, str): + return False + if label not in br.evol_basis: + return False + return True + + +def is_pid_labels(labels): + """ + Check whether the labels are provided in flavor basis + + Parameters + ---------- + labels : list() + list of labels + + Returns + ------- + bool : + is flavor basis + """ + try: + labels = np.array(labels, dtype=np.int_) + except (ValueError, TypeError): + return False + for label in labels: + if not isinstance(label, np.int_): + return False + if label not in br.flavor_basis_pids: + return False + return True diff --git a/src/ekobox/genpdf/load.py b/src/ekobox/genpdf/load.py new file mode 100644 index 000000000..4c1112b2d --- /dev/null +++ b/src/ekobox/genpdf/load.py @@ -0,0 +1,86 @@ +# -*- coding: utf-8 -*- +import pathlib + +import numpy as np +import yaml + +here = pathlib.Path(__file__).parent +# Expose the default template +with open(here / "templatePDF.info", "r", encoding="utf-8") as o: + template_info = yaml.safe_load(o) +with open(here / "Toy.info", "r", encoding="utf-8") as t: + Toy_info = yaml.safe_load(t) + + +def load_info_from_file(pdfset_name): + """ + Load the info file from a parent pdf. + + Parameters + ---------- + pdfset_name : str + parent pdf name + + Returns + ------- + dict : + info dictionary + """ + import lhapdf # pylint: disable=import-error, import-outside-toplevel + + src = pathlib.Path(lhapdf.paths()[0]) / pdfset_name + with open(src / f"{pdfset_name}.info", "r", encoding="utf-8") as o: + info = yaml.safe_load(o) + return info + + +def load_blocks_from_file(pdfset_name, member): + """ + Load a pdf from a parent pdf. + + Parameters + ---------- + pdfset_name : str + parent pdf name + member : int + pdf member + + Returns + ------- + str : + head of member file + list(dict) : + pdf blocks of data + + """ + import lhapdf # pylint: disable=import-error, import-outside-toplevel + + pdf = lhapdf.mkPDF(pdfset_name, member) + src = pathlib.Path(lhapdf.paths()[0]) / pdfset_name + # read actual file + cnt = [] + with open( + src / f"{pdfset_name}_{pdf.memberID:04d}.dat", "r", encoding="utf-8" + ) as o: + cnt = o.readlines() + # file head + head = cnt[0] + head_section = cnt.index("---\n") + blocks = [] + while head_section < len(cnt) - 1: + # section head + next_head_section = cnt.index("---\n", head_section + 1) + # determine participating pids + xgrid = np.array(cnt[head_section + 1].strip().split(" "), dtype=np.float_) + Qgrid = np.array(cnt[head_section + 2].strip().split(" "), dtype=np.float_) + pids = np.array(cnt[head_section + 3].strip().split(" "), dtype=np.int_) + # data + data = [] + for line in cnt[head_section + 4 : next_head_section]: + elems = np.fromstring(line.strip(), sep=" ") + data.append(elems) + Q2grid = [el * el for el in Qgrid] + blocks.append(dict(xgrid=xgrid, Q2grid=Q2grid, pids=pids, data=np.array(data))) + # iterate + head_section = next_head_section + return head, blocks diff --git a/src/ekobox/genpdf/templatePDF.info b/src/ekobox/genpdf/templatePDF.info new file mode 100644 index 000000000..b9e889d4d --- /dev/null +++ b/src/ekobox/genpdf/templatePDF.info @@ -0,0 +1,29 @@ +SetDesc: 'Debug PDF' +SetIndex: 0 +Authors: F. Hekhorn, A. Candido, A. Barontini +Reference: +Format: lhagrid1 +DataVersion: 1 +NumMembers: 1 +Particle: 2212 +Flavors: [] +ForcePositive: 0 +OrderQCD: 0 +FlavorScheme: variable +NumFlavors: 3 +XMin: 1.000000e-09 +XMax: 1 +QMin: 1.295000e+00 +QMax: 100000 +MZ: 91.1876 +MUp: 0 +MDown: 0 +MStrange: 0 +MCharm: 1.3 +MBottom: 4.75 +MTop: 172 +AlphaS_MZ: 0.118000 +AlphaS_OrderQCD: 0 +AlphaS_Type: ipol +AlphaS_Qs: [1.295000e+00, 1.475010e+00, 1.691180e+00, 1.952560e+00, 2.270860e+00, 2.661400e+00, 3.144360e+00, 3.746580e+00, 4.504060e+00, 5.465600e+00, 6.697950e+00, 8.293410e+00, 1.038100e+01, 1.314320e+01, 1.684110e+01, 2.185310e+01, 2.873440e+01, 3.831200e+01, 5.183410e+01, 7.121450e+01, 9.943320e+01, 1.412090e+02, 2.041420e+02, 3.007030e+02, 4.517430e+02, 6.928310e+02, 1.085930e+03, 1.741380e+03, 2.860290e+03, 4.818130e+03, 8.334020e+03, 1.482260e+04, 2.714580e+04, 5.126670e+04, 1.000000e+05] +AlphaS_Vals: [4.200710e-01, 3.895640e-01, 3.619420e-01, 3.368440e-01, 3.139670e-01, 2.930520e-01, 2.738810e-01, 2.562640e-01, 2.400390e-01, 2.250660e-01, 2.112210e-01, 1.983960e-01, 1.864960e-01, 1.754390e-01, 1.651500e-01, 1.555630e-01, 1.466190e-01, 1.382660e-01, 1.304560e-01, 1.231460e-01, 1.162990e-01, 1.098790e-01, 1.038540e-01, 9.819640e-02, 9.287940e-02, 8.787930e-02, 8.317410e-02, 7.874380e-02, 7.457000e-02, 7.063560e-02, 6.692520e-02, 6.342420e-02, 6.011950e-02, 5.699860e-02, 5.405020e-02] diff --git a/src/ekobox/mock.py b/src/ekobox/mock.py new file mode 100644 index 000000000..4d50239f9 --- /dev/null +++ b/src/ekobox/mock.py @@ -0,0 +1,26 @@ +# -*- coding: utf-8 -*- +import numpy as np + + +def eko_identity(shape): + """Generate an identity operator with the given shape. + + The operator has to be squared in PIDs and x grid, thus the last two + elements of `shape` are not read, and they are considered to be equal to the + second and third element respectively. + + Parameters + ---------- + shape: 5-tuple + specifies the required output tuple (last two elements are ignored) + + Returns + ------- + np.array + rank 5 array, representing an identity operator of the requested shape + + """ + i, k = np.ogrid[: shape[1], : shape[2]] + eko_identity = np.zeros(shape[1:], int) + eko_identity[i, k, i, k] = 1 + return np.broadcast_to(eko_identity[np.newaxis, :, :, :, :], shape) diff --git a/src/ekobox/utils.py b/src/ekobox/utils.py new file mode 100644 index 000000000..858525f0b --- /dev/null +++ b/src/ekobox/utils.py @@ -0,0 +1,65 @@ +# -*- coding: utf-8 -*- +import copy + +import numpy as np + + +# TODO: add a control on the theory (but before we need to implement another +# kind of output which includes the theory and operator runcards) +def ekos_product(eko_ini, eko_fin, in_place=True): + """Returns the product of two ekos + + Parameters + ---------- + eko_ini : eko.output.Output + initial eko operator + eko_fin : eko.output.Output + final eko operator + in_place : bool + do operation in place, modifying input arrays + + Returns + ------- + eko.output.Output + eko operator + + """ + if eko_fin["q2_ref"] not in eko_ini["Q2grid"].keys(): + raise ValueError( + "Initial Q2 of final eko operator does not match any final Q2 in" + " the initial eko operator" + ) + ope1 = eko_ini["Q2grid"][eko_fin["q2_ref"]]["operators"] + ope1_error = eko_ini["Q2grid"][eko_fin["q2_ref"]]["operator_errors"] + + ope2_dict = {} + ope2_error_dict = {} + for q2, op in eko_fin["Q2grid"].items(): + ope2_dict[q2] = op["operators"] + ope2_error_dict[q2] = op["operator_errors"] + + final_op_dict = {} + final_op_error_dict = {} + final_alphas_dict = {} + final_dict = {} + for q2, op2 in ope2_dict.items(): + final_op_dict[q2] = np.einsum("ajbk,bkcl -> ajcl", ope1, op2) + + final_op_error_dict[q2] = np.einsum( + "ajbk,bkcl -> ajcl", ope1, ope2_error_dict[q2] + ) + np.einsum("ajbk,bkcl -> ajcl", ope1_error, op2) + + final_alphas_dict[q2] = eko_fin["Q2grid"][q2]["alphas"] + final_dict[q2] = { + "operators": final_op_dict[q2], + "operator_errors": final_op_error_dict[q2], + "alphas": final_alphas_dict[q2], + } + + final_eko = None + if in_place is False: + final_eko = copy.deepcopy(eko_ini) + else: + final_eko = eko_ini + final_eko["Q2grid"] = final_dict + return final_eko diff --git a/src/ekomark/apply.py b/src/ekomark/apply.py new file mode 100644 index 000000000..fc216ba62 --- /dev/null +++ b/src/ekomark/apply.py @@ -0,0 +1,100 @@ +# -*- coding: utf-8 -*- +import numpy as np + +from eko import basis_rotation as br +from eko import interpolation + + +def apply_pdf(output, lhapdf_like, targetgrid=None, rotate_to_evolution_basis=False): + """ + Apply all available operators to the input PDFs. + + Parameters + ---------- + output : eko.output.Output + eko output object containing all informations + lhapdf_like : object + object that provides an xfxQ2 callable (as `lhapdf `_ + and :class:`ekomark.toyLH.toyPDF` do) (and thus is in flavor basis) + targetgrid : list + if given, interpolates to the pdfs given at targetgrid (instead of xgrid) + rotate_to_evolution_basis : bool + if True rotate to evoluton basis + + Returns + ------- + out_grid : dict + output PDFs and their associated errors for the computed Q2grid + """ + if rotate_to_evolution_basis: + return apply_pdf_flavor( + output, lhapdf_like, targetgrid, br.rotate_flavor_to_evolution + ) + return apply_pdf_flavor(output, lhapdf_like, targetgrid) + + +def apply_pdf_flavor(output, lhapdf_like, targetgrid=None, flavor_rotation=None): + """ + Apply all available operators to the input PDFs. + + Parameters + ---------- + output : eko.output.Output + eko output object containing all informations + lhapdf_like : object + object that provides an xfxQ2 callable (as `lhapdf `_ + and :class:`ekomark.toyLH.toyPDF` do) (and thus is in flavor basis) + targetgrid : list + if given, interpolates to the pdfs given at targetgrid (instead of xgrid) + flavor_rotation : np.ndarray + Rotation matrix in flavor space + + Returns + ------- + out_grid : dict + output PDFs and their associated errors for the computed Q2grid + """ + # create pdfs + pdfs = np.zeros((len(output["inputpids"]), len(output["inputgrid"]))) + for j, pid in enumerate(output["inputpids"]): + if not lhapdf_like.hasFlavor(pid): + continue + pdfs[j] = np.array( + [ + lhapdf_like.xfxQ2(pid, x, output["q2_ref"]) / x + for x in output["inputgrid"] + ] + ) + + # build output + out_grid = {} + for q2, elem in output["Q2grid"].items(): + pdf_final = np.einsum("ajbk,bk", elem["operators"], pdfs) + error_final = np.einsum("ajbk,bk", elem["operator_errors"], pdfs) + out_grid[q2] = { + "pdfs": dict(zip(output["targetpids"], pdf_final)), + "errors": dict(zip(output["targetpids"], error_final)), + } + + # rotate to evolution basis + if flavor_rotation is not None: + for q2, op in out_grid.items(): + pdf = flavor_rotation @ np.array( + [op["pdfs"][pid] for pid in br.flavor_basis_pids] + ) + errors = flavor_rotation @ np.array( + [op["errors"][pid] for pid in br.flavor_basis_pids] + ) + op["pdfs"] = dict(zip(br.evol_basis, pdf)) + op["errors"] = dict(zip(br.evol_basis, errors)) + + # rotate/interpolate to target grid + if targetgrid is not None: + b = interpolation.InterpolatorDispatcher.from_dict(output, False) + rot = b.get_interpolation(targetgrid) + for evpdf in out_grid.values(): + for pdf_label in evpdf["pdfs"]: + evpdf["pdfs"][pdf_label] = np.matmul(rot, evpdf["pdfs"][pdf_label]) + evpdf["errors"][pdf_label] = np.matmul(rot, evpdf["errors"][pdf_label]) + + return out_grid diff --git a/src/ekomark/benchmark/external/pegasus_utils.py b/src/ekomark/benchmark/external/pegasus_utils.py index fa785ff73..07f145848 100644 --- a/src/ekomark/benchmark/external/pegasus_utils.py +++ b/src/ekomark/benchmark/external/pegasus_utils.py @@ -88,7 +88,7 @@ def compute_pegasus_data(theory, operators, skip_pdfs, rotate_to_evolution_basis for pid in labels: if pid in skip_pdfs: continue - if pid not in tab.keys(): + if pid not in tab: tab[pid] = [] tab[pid].append(temp[pid]) diff --git a/src/ekomark/benchmark/runner.py b/src/ekomark/benchmark/runner.py index 8ddf809cf..aa1f896ef 100644 --- a/src/ekomark/benchmark/runner.py +++ b/src/ekomark/benchmark/runner.py @@ -15,7 +15,7 @@ import eko from eko import basis_rotation as br -from .. import pdfname +from .. import apply, pdfname from ..data import db, operators @@ -83,7 +83,7 @@ def run_me(self, theory, ocard, _pdf): if rerun: out = eko.run_dglap(theory, ocard) print(f"Writing operator to {path}") - out.dump_yaml_to_file(path) + out.dump_tar(path) else: # load print(f"Using cached eko data: {os.path.relpath(path,os.getcwd())}") @@ -91,6 +91,7 @@ def run_me(self, theory, ocard, _pdf): out = eko.output.Output.load_yaml(o) if self.plot_operator: + from ekomark.plots import ( # pylint:disable=import-error,import-outside-toplevel save_operators_to_pdf, ) @@ -98,8 +99,20 @@ def run_me(self, theory, ocard, _pdf): output_path = f"{banana_cfg.cfg['database_path'].parents[0]}/{self.external}_bench" if not os.path.exists(output_path): os.makedirs(output_path) + # rotating to evolution basis if requested + out_copy = eko.output.Output.load_tar(path) + change_lab = False + if self.rotate_to_evolution_basis: + out_copy.to_evol(source=True, target=True) + change_lab = True + save_operators_to_pdf( - output_path, theory, ocard, out, self.skip_pdfs(theory) + output_path, + theory, + ocard, + out_copy, + self.skip_pdfs(theory), + change_lab, ) else: out = eko.run_dglap(theory, ocard) @@ -170,7 +183,8 @@ def log(self, theory, _, pdf, me, ext): ): rotate_to_evolution[3, :] = [0, 0, 0, 0, 0, -1, -1, 0, 1, 1, 0, 0, 0, 0] - pdf_grid = me.apply_pdf_flavor( + pdf_grid = apply.apply_pdf_flavor( + me, pdf, xgrid, flavor_rotation=rotate_to_evolution, diff --git a/src/ekomark/data/db.py b/src/ekomark/data/db.py index 8e795f38a..02908c9a8 100644 --- a/src/ekomark/data/db.py +++ b/src/ekomark/data/db.py @@ -9,7 +9,7 @@ class Operator(Base): # pylint: disable=too-few-public-methods """ - Operator cards tbale + Operator cards table """ __tablename__ = "operators" diff --git a/src/ekomark/navigator/__init__.py b/src/ekomark/navigator/__init__.py old mode 100755 new mode 100644 diff --git a/src/ekomark/navigator/navigator.py b/src/ekomark/navigator/navigator.py index a817bb632..286e43f86 100644 --- a/src/ekomark/navigator/navigator.py +++ b/src/ekomark/navigator/navigator.py @@ -15,7 +15,7 @@ from ..data import db from ..plots import input_figure, plot_dist -table_objects = bnav.table_objects +table_objects = bnav.navigator.table_objects table_objects["o"] = db.Operator @@ -144,12 +144,12 @@ def check_log(self, doc_hash, perc_thr=1, abs_thr=1e-6): for q2 in dfds: for op, df in dfds[q2].items(): - for l in df.iloc: + for row in df.iloc: if ( - abs(l["percent_error"]) > perc_thr - and abs(l[f"{log['external']}"] - l["eko"]) > abs_thr + abs(row["percent_error"]) > perc_thr + and abs(row[f"{log['external']}"] - row["eko"]) > abs_thr ): - print(op, l, sep="\n", end="\n\n") + print(op, row, sep="\n", end="\n\n") def plot_pdfs(self, doc_hash): """ diff --git a/src/ekomark/plots.py b/src/ekomark/plots.py index 540c835a4..42d9ee3a5 100644 --- a/src/ekomark/plots.py +++ b/src/ekomark/plots.py @@ -8,8 +8,11 @@ import matplotlib.pyplot as plt import numpy as np from matplotlib.backends.backend_pdf import PdfPages +from matplotlib.cm import get_cmap from matplotlib.colors import LogNorm +from eko import basis_rotation as br + def input_figure(theory, ops, pdf_name=None): """ @@ -163,43 +166,52 @@ def plot_operator(var_name, op, op_err, log_operator=True, abs_operator=True): # op = ret["operators"][var_name] # op_err = ret["operator_errors"][var_name] + # empty? + thre = 1e-8 + if np.max(np.abs(op)) <= thre: + return None + fig = plt.figure(figsize=(25, 5)) fig.suptitle(var_name) - # empty? - if np.max(op) <= 0.0: - return fig - # TODO fix File "/usr/lib/python3/dist-packages/matplotlib/colors.py", # line 1181, in _check_vmin_vmax # raise ValueError("minvalue must be positive") + # Settings + colormap = "coolwarm" ax = plt.subplot(1, 3, 1) if abs_operator: plt.title("|operator|") + colormap = "inferno" + op = np.abs(op) else: plt.title("operator") + norm = LogNorm() if log_operator else None - if abs_operator: - op = np.abs(op) - im = plt.imshow(op, norm=norm, aspect="auto") + cmap = get_cmap(colormap) + # Plotting operator + im = plt.imshow(op, cmap=cmap, norm=norm, aspect="auto") plt.colorbar(im, ax=ax, fraction=0.034, pad=0.04) - + # Plotting operator error ax = plt.subplot(1, 3, 2) plt.title("operator_error") - im = plt.imshow(op_err, norm=norm, aspect="auto") plt.colorbar(im, ax=ax, fraction=0.034, pad=0.04) - + # Plotting ratio ax = plt.subplot(1, 3, 3) plt.title("|error/value|") + # Avoid the numpy warning + old_settings = np.seterr(divide="ignore", invalid="ignore") err_to_val = np.abs(np.array(op_err) / np.array(op)) + np.seterr(**old_settings) + im = plt.imshow(err_to_val, norm=norm, aspect="auto") plt.colorbar(im, ax=ax, fraction=0.034, pad=0.04) return fig -def save_operators_to_pdf(path, theory, ops, me, skip_pdfs): +def save_operators_to_pdf(path, theory, ops, me, skip_pdfs, change_lab=False): """ Output all operator heatmaps to PDF. @@ -215,13 +227,13 @@ def save_operators_to_pdf(path, theory, ops, me, skip_pdfs): DGLAP result skip_pdfs : list PDF to skip + change_lab : bool + set whether to rename the labels """ - - ops_names = list(me["pids"]) + ops_names = list(me["targetpids"]) ops_id = f"o{ops['hash'][:6]}_t{theory['hash'][:6]}" path = f"{path}/{ops_id}.pdf" print(f"Plotting operators plots to {path}") - with PdfPages(path) as pp: # print setup firstPage = input_figure(theory, ops) @@ -255,13 +267,21 @@ def save_operators_to_pdf(path, theory, ops, me, skip_pdfs): for label_in in ops_names: if label_in in skip_pdfs: continue + lab_in = label_in + lab_out = label_out + if change_lab: + index_in = br.evol_basis_pids.index(label_in) + index_out = br.evol_basis_pids.index(label_out) + lab_in = br.evol_basis[index_in] + lab_out = br.evol_basis[index_out] try: fig = plot_operator( - f"Operator ({label_in};{label_out}) µ_F^2 = {q2} GeV^2", + f"Operator ({lab_in};{lab_out}) µ_F^2 = {q2} GeV^2", new_op[label_in], new_op_err[label_in], ) - pp.savefig() + if fig is not None: + pp.savefig() finally: if fig: plt.close(fig) diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 000000000..62d23882d --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,66 @@ +# -*- coding: utf-8 -*- +import numpy as np +import pytest + + +class FakePDF: + def hasFlavor(self, pid): + return pid == 1 + + def xfxQ2(self, _pid, x, _q2): + return x + + +@pytest.fixture +def fake_pdf(): + return FakePDF() + + +class FakeOutput: + shape = (2, 2) + + def mkO(self): + ma, mae = np.random.rand(2, *self.shape) + return ma, mae + + def mk_g(self, q2s, lpids, lx): + Q2grid = {} + for q2 in q2s: + Q2grid[q2] = { + "operators": np.random.rand(lpids, lx, lpids, lx), + "operator_errors": np.random.rand(lpids, lx, lpids, lx), + "alphas": np.random.rand(), + } + return Q2grid + + def fake_output(self): + # build data + interpolation_xgrid = np.array([0.5, 1.0]) + interpolation_polynomial_degree = 1 + interpolation_is_log = False + pids = [0, 1] + q2_ref = 1 + q2_out = 2 + Q2grid = self.mk_g([q2_out], len(pids), len(interpolation_xgrid)) + d = dict( + interpolation_xgrid=interpolation_xgrid, + targetgrid=interpolation_xgrid, + inputgrid=interpolation_xgrid, + interpolation_polynomial_degree=interpolation_polynomial_degree, + interpolation_is_log=interpolation_is_log, + q2_ref=q2_ref, + inputpids=pids, + targetpids=pids, + Q2grid=Q2grid, + ) + return d + + +@pytest.fixture +def fake_factory(): + return FakeOutput() + + +@pytest.fixture +def fake_output(): + return FakeOutput().fake_output() diff --git a/tests/eko/conftest.py b/tests/eko/conftest.py new file mode 100644 index 000000000..8c610e3d4 --- /dev/null +++ b/tests/eko/conftest.py @@ -0,0 +1,21 @@ +# -*- coding: utf-8 -*- +import numpy as np +import pytest + +from eko.anomalous_dimensions import harmonics + + +@pytest.fixture +def get_sx(): + def wrapped(N): + """Collect the S-cache""" + sx = np.array( + [ + harmonics.harmonic_S1(N), + harmonics.harmonic_S2(N), + harmonics.harmonic_S3(N), + ] + ) + return sx + + return wrapped diff --git a/tests/test_ad.py b/tests/eko/test_ad.py similarity index 100% rename from tests/test_ad.py rename to tests/eko/test_ad.py diff --git a/tests/test_ad_harmonics.py b/tests/eko/test_ad_harmonics.py similarity index 100% rename from tests/test_ad_harmonics.py rename to tests/eko/test_ad_harmonics.py diff --git a/tests/test_ad_lo.py b/tests/eko/test_ad_lo.py similarity index 100% rename from tests/test_ad_lo.py rename to tests/eko/test_ad_lo.py diff --git a/tests/test_ad_nlo.py b/tests/eko/test_ad_nlo.py similarity index 100% rename from tests/test_ad_nlo.py rename to tests/eko/test_ad_nlo.py diff --git a/tests/test_ad_nnlo.py b/tests/eko/test_ad_nnlo.py similarity index 100% rename from tests/test_ad_nnlo.py rename to tests/eko/test_ad_nnlo.py diff --git a/tests/test_basis_rotation.py b/tests/eko/test_basis_rotation.py similarity index 100% rename from tests/test_basis_rotation.py rename to tests/eko/test_basis_rotation.py diff --git a/tests/test_beta.py b/tests/eko/test_beta.py similarity index 100% rename from tests/test_beta.py rename to tests/eko/test_beta.py diff --git a/tests/test_ev_op_flavors.py b/tests/eko/test_ev_op_flavors.py similarity index 100% rename from tests/test_ev_op_flavors.py rename to tests/eko/test_ev_op_flavors.py diff --git a/tests/test_ev_op_grid.py b/tests/eko/test_ev_op_grid.py similarity index 100% rename from tests/test_ev_op_grid.py rename to tests/eko/test_ev_op_grid.py diff --git a/tests/test_ev_op_physical.py b/tests/eko/test_ev_op_physical.py similarity index 100% rename from tests/test_ev_op_physical.py rename to tests/eko/test_ev_op_physical.py diff --git a/tests/test_ev_operator.py b/tests/eko/test_ev_operator.py similarity index 100% rename from tests/test_ev_operator.py rename to tests/eko/test_ev_operator.py diff --git a/tests/test_gamma.py b/tests/eko/test_gamma.py similarity index 100% rename from tests/test_gamma.py rename to tests/eko/test_gamma.py diff --git a/tests/test_init.py b/tests/eko/test_init.py similarity index 100% rename from tests/test_init.py rename to tests/eko/test_init.py diff --git a/tests/test_interpolation.py b/tests/eko/test_interpolation.py similarity index 100% rename from tests/test_interpolation.py rename to tests/eko/test_interpolation.py diff --git a/tests/test_kernels_ei.py b/tests/eko/test_kernels_ei.py similarity index 100% rename from tests/test_kernels_ei.py rename to tests/eko/test_kernels_ei.py diff --git a/tests/test_kernels_ns.py b/tests/eko/test_kernels_ns.py similarity index 100% rename from tests/test_kernels_ns.py rename to tests/eko/test_kernels_ns.py diff --git a/tests/test_kernels_s.py b/tests/eko/test_kernels_s.py similarity index 100% rename from tests/test_kernels_s.py rename to tests/eko/test_kernels_s.py diff --git a/tests/test_kernels_utils.py b/tests/eko/test_kernels_utils.py similarity index 100% rename from tests/test_kernels_utils.py rename to tests/eko/test_kernels_utils.py diff --git a/tests/test_matching.py b/tests/eko/test_matching.py similarity index 100% rename from tests/test_matching.py rename to tests/eko/test_matching.py diff --git a/tests/test_matching_nlo.py b/tests/eko/test_matching_nlo.py similarity index 92% rename from tests/test_matching_nlo.py rename to tests/eko/test_matching_nlo.py index e8162efca..05258783e 100644 --- a/tests/test_matching_nlo.py +++ b/tests/eko/test_matching_nlo.py @@ -4,10 +4,8 @@ from eko.matching_conditions.nlo import A_ns_1, A_singlet_1 -from .test_matching_nnlo import get_sx - -def test_A_1_intrinsic(): +def test_A_1_intrinsic(get_sx): L = 100.0 N = 2 @@ -20,7 +18,7 @@ def test_A_1_intrinsic(): np.testing.assert_allclose(aS1[0, 0] + aS1[1, 0] + aS1[2, 0], 0.0) -def test_A_1_shape(): +def test_A_1_shape(get_sx): N = 2 L = 3.0 @@ -35,7 +33,7 @@ def test_A_1_shape(): assert aNS1i[1, 1] == aS1i[2, 2] -def test_Bluemlein_1(): +def test_Bluemlein_1(get_sx): # Test against Blumlein OME implementation :cite:`Bierenbaum_2009`. # Only even moments are available in that code. # Note there is a minus sign in the definition of L. diff --git a/tests/test_matching_nnlo.py b/tests/eko/test_matching_nnlo.py similarity index 93% rename from tests/test_matching_nnlo.py rename to tests/eko/test_matching_nnlo.py index ca7f16c7e..62d404a6a 100644 --- a/tests/test_matching_nnlo.py +++ b/tests/eko/test_matching_nnlo.py @@ -7,19 +7,7 @@ from eko.matching_conditions.nnlo import A_ns_2, A_qq_2_ns, A_singlet_2 -def get_sx(N): - """Collect the S-cache""" - sx = np.array( - [ - harmonics.harmonic_S1(N), - harmonics.harmonic_S2(N), - harmonics.harmonic_S3(N), - ] - ) - return sx - - -def test_A_2(): +def test_A_2(get_sx): logs = [0, 100] for L in logs: @@ -48,7 +36,6 @@ def test_A_2(): def test_A_2_shape(): - N = 2 L = 3 sx = np.zeros(3, np.complex_) @@ -63,7 +50,7 @@ def test_A_2_shape(): assert aNS2[0].all() == aNS2[1].all() -def test_pegasus_sign(): +def test_pegasus_sign(get_sx): # reference value come from Pegasus code transalted Mathematica ref_val = -21133.9 N = 2 @@ -74,7 +61,7 @@ def test_pegasus_sign(): np.testing.assert_allclose(aS2[0, 0], ref_val, rtol=4e-5) -def test_Bluemlein_2(): +def test_Bluemlein_2(get_sx): # Test against Blumlein OME implementation :cite:`Bierenbaum_2009`. # For some OME only even moments are available in that code. # Note there is a minus sign in the definition of L. @@ -143,7 +130,7 @@ def test_Bluemlein_2(): np.testing.assert_allclose(aS2[1, 1], ref_val_qq[L][N - 2], rtol=4e-6) -def test_Hg2_pegasus(): +def test_Hg2_pegasus(get_sx): # Test againnt the parametrized expession for A_Hg_2 # coming from Pegasus code # This expession is less accurate. @@ -177,7 +164,7 @@ def test_Hg2_pegasus(): np.testing.assert_allclose(aS2[2, 0], a_hg_2_param, rtol=7e-4) -def test_msbar_matching(): +def test_msbar_matching(get_sx): logs = [0, 100] for L in logs: diff --git a/tests/test_mellin.py b/tests/eko/test_mellin.py similarity index 100% rename from tests/test_mellin.py rename to tests/eko/test_mellin.py diff --git a/tests/test_member.py b/tests/eko/test_member.py similarity index 100% rename from tests/test_member.py rename to tests/eko/test_member.py diff --git a/tests/test_msbar_masses.py b/tests/eko/test_msbar_masses.py similarity index 100% rename from tests/test_msbar_masses.py rename to tests/eko/test_msbar_masses.py diff --git a/tests/test_ome.py b/tests/eko/test_ome.py similarity index 100% rename from tests/test_ome.py rename to tests/eko/test_ome.py diff --git a/tests/test_output.py b/tests/eko/test_output.py similarity index 67% rename from tests/test_output.py rename to tests/eko/test_output.py index d99754ca2..6e7fc2617 100644 --- a/tests/test_output.py +++ b/tests/eko/test_output.py @@ -13,14 +13,6 @@ from eko import output -class FakePDF: - def hasFlavor(self, pid): - return pid == 1 - - def xfxQ2(self, _pid, x, _q2): - return x - - def eko_identity(shape): i, k = np.ogrid[: shape[1], : shape[2]] eko_identity = np.zeros(shape[1:], int) @@ -39,48 +31,9 @@ def chk_keys(a, b): class TestOutput: - shape = (2, 2) - - def mkO(self): - ma, mae = np.random.rand(2, *self.shape) - return ma, mae - - def mk_g(self, q2s, lpids, lx): - Q2grid = {} - for q2 in q2s: - Q2grid[q2] = { - "operators": np.random.rand(lpids, lx, lpids, lx), - "operator_errors": np.random.rand(lpids, lx, lpids, lx), - "alphas": np.random.rand(), - } - return Q2grid - - def fake_output(self): - # build data - interpolation_xgrid = np.array([0.5, 1.0]) - interpolation_polynomial_degree = 1 - interpolation_is_log = False - pids = [0, 1] - q2_ref = 1 - q2_out = 2 - Q2grid = self.mk_g([q2_out], len(pids), len(interpolation_xgrid)) - d = dict( - interpolation_xgrid=interpolation_xgrid, - targetgrid=interpolation_xgrid, - inputgrid=interpolation_xgrid, - interpolation_polynomial_degree=interpolation_polynomial_degree, - interpolation_is_log=interpolation_is_log, - q2_ref=q2_ref, - inputpids=pids, - targetpids=pids, - Q2grid=Q2grid, - ) - return d - - def test_io(self): - d = self.fake_output() + def test_io(self, fake_output): # create object - o1 = output.Output(d) + o1 = output.Output(fake_output) # test streams stream = io.StringIO() o1.dump_yaml(stream) @@ -88,10 +41,10 @@ def test_io(self): stream.seek(0) o2 = output.Output.load_yaml(stream) np.testing.assert_almost_equal( - o1["interpolation_xgrid"], d["interpolation_xgrid"] + o1["interpolation_xgrid"], fake_output["interpolation_xgrid"] ) np.testing.assert_almost_equal( - o2["interpolation_xgrid"], d["interpolation_xgrid"] + o2["interpolation_xgrid"], fake_output["interpolation_xgrid"] ) # fake output files m_out = mock.mock_open(read_data="") @@ -107,7 +60,7 @@ def test_io(self): o3 = output.Output.load_yaml_from_file(fn) mock_file.assert_called_with(fn, encoding="utf-8") np.testing.assert_almost_equal( - o3["interpolation_xgrid"], d["interpolation_xgrid"] + o3["interpolation_xgrid"], fake_output["interpolation_xgrid"] ) # repeat for tar fn = "test.tar" @@ -116,17 +69,16 @@ def test_io(self): o1.dump_tar(fp) o4 = output.Output.load_tar(fp) np.testing.assert_almost_equal( - o4["interpolation_xgrid"], d["interpolation_xgrid"] + o4["interpolation_xgrid"], fake_output["interpolation_xgrid"] ) fn = "test" with pytest.raises(ValueError, match="wrong suffix"): o1.dump_tar(fn) - def test_rename_issue81(self): + def test_rename_issue81(self, fake_output): # https://github.com/N3PDF/eko/issues/81 - d = self.fake_output() # create object - o1 = output.Output(d) + o1 = output.Output(fake_output) with tempfile.TemporaryDirectory() as folder: # dump @@ -139,13 +91,12 @@ def test_rename_issue81(self): # reload o4 = output.Output.load_tar(fp2) np.testing.assert_almost_equal( - o4["interpolation_xgrid"], d["interpolation_xgrid"] + o4["interpolation_xgrid"], fake_output["interpolation_xgrid"] ) - def test_io_bin(self): - d = self.fake_output() + def test_io_bin(self, fake_output): # create object - o1 = output.Output(d) + o1 = output.Output(fake_output) # test streams stream = io.StringIO() o1.dump_yaml(stream, False) @@ -153,66 +104,16 @@ def test_io_bin(self): stream.seek(0) o2 = output.Output.load_yaml(stream) np.testing.assert_almost_equal( - o1["interpolation_xgrid"], d["interpolation_xgrid"] + o1["interpolation_xgrid"], fake_output["interpolation_xgrid"] ) np.testing.assert_almost_equal( - o2["interpolation_xgrid"], d["interpolation_xgrid"] - ) - - def test_apply(self): - d = self.fake_output() - q2_out = list(d["Q2grid"].keys())[0] - # create object - o = output.Output(d) - # fake pdfs - pdf = FakePDF() - pdf_grid = o.apply_pdf(pdf) - assert len(pdf_grid) == len(d["Q2grid"]) - pdfs = pdf_grid[q2_out]["pdfs"] - assert list(pdfs.keys()) == d["targetpids"] - ref_pid1 = d["Q2grid"][q2_out]["operators"][0, :, 1, :] @ np.ones( - len(d["interpolation_xgrid"]) - ) - np.testing.assert_allclose(pdfs[0], ref_pid1) - ref_pid2 = d["Q2grid"][q2_out]["operators"][1, :, 1, :] @ np.ones( - len(d["interpolation_xgrid"]) - ) - np.testing.assert_allclose(pdfs[1], ref_pid2) - # rotate to target_grid - target_grid = [0.75] - pdf_grid = o.apply_pdf(pdf, target_grid) - assert len(pdf_grid) == 1 - pdfs = pdf_grid[q2_out]["pdfs"] - assert list(pdfs.keys()) == d["targetpids"] - - def test_apply_flavor(self, monkeypatch): - d = self.fake_output() - q2_out = list(d["Q2grid"].keys())[0] - # create object - o = output.Output(d) - # fake pdfs - pdf = FakePDF() - monkeypatch.setattr( - "eko.basis_rotation.rotate_flavor_to_evolution", np.ones((2, 2)) + o2["interpolation_xgrid"], fake_output["interpolation_xgrid"] ) - monkeypatch.setattr("eko.basis_rotation.flavor_basis_pids", d["targetpids"]) - fake_evol_basis = ("a", "b") - monkeypatch.setattr("eko.basis_rotation.evol_basis", fake_evol_basis) - pdf_grid = o.apply_pdf(pdf, rotate_to_evolution_basis=True) - assert len(pdf_grid) == len(d["Q2grid"]) - pdfs = pdf_grid[q2_out]["pdfs"] - assert list(pdfs.keys()) == list(fake_evol_basis) - ref_a = ( - d["Q2grid"][q2_out]["operators"][0, :, 1, :] - + d["Q2grid"][q2_out]["operators"][1, :, 1, :] - ) @ np.ones(len(d["interpolation_xgrid"])) - np.testing.assert_allclose(pdfs["a"], ref_a) - def test_xgrid_reshape(self): - d = self.fake_output() + def test_xgrid_reshape(self, fake_output): # create object xg = np.geomspace(1e-5, 1.0, 21) - o1 = output.Output(d) + o1 = output.Output(fake_output) o1["interpolation_xgrid"] = xg o1["targetgrid"] = xg o1["inputgrid"] = xg @@ -260,10 +161,9 @@ def test_xgrid_reshape(self): with pytest.raises(ValueError): copy.deepcopy(o1).xgrid_reshape() - def test_reshape_io(self): - d = self.fake_output() + def test_reshape_io(self, fake_output): # create object - o1 = output.Output(d) + o1 = output.Output(fake_output) o2 = copy.deepcopy(o1) o2.xgrid_reshape([0.1, 1.0], [0.1, 1.0]) o2.flavor_reshape(inputbasis=np.array([[1, -1], [1, 1]])) @@ -277,11 +177,10 @@ def test_reshape_io(self): del o3["eko_version"] chk_keys(o1, o3) - def test_flavor_reshape(self): - d = self.fake_output() + def test_flavor_reshape(self, fake_output): # create object xg = np.geomspace(1e-5, 1.0, 21) - o1 = output.Output(d) + o1 = output.Output(fake_output) o1["interpolation_xgrid"] = xg o1["targetgrid"] = xg o1["inputgrid"] = xg @@ -338,13 +237,13 @@ def test_flavor_reshape(self): with pytest.raises(ValueError): copy.deepcopy(o1).flavor_reshape() - def test_to_evol(self): + def test_to_evol(self, fake_factory): interpolation_xgrid = np.array([0.5, 1.0]) interpolation_polynomial_degree = 1 interpolation_is_log = False q2_ref = 1 q2_out = 2 - Q2grid = self.mk_g( + Q2grid = fake_factory.mk_g( [q2_out], len(br.flavor_basis_pids), len(interpolation_xgrid) ) d = dict( diff --git a/tests/test_runner.py b/tests/eko/test_runner.py similarity index 100% rename from tests/test_runner.py rename to tests/eko/test_runner.py diff --git a/tests/test_strong_coupling.py b/tests/eko/test_strong_coupling.py similarity index 100% rename from tests/test_strong_coupling.py rename to tests/eko/test_strong_coupling.py diff --git a/tests/test_thresholds.py b/tests/eko/test_thresholds.py similarity index 100% rename from tests/test_thresholds.py rename to tests/eko/test_thresholds.py diff --git a/tests/__init__.py b/tests/ekobox/test_evol_pdf.py similarity index 100% rename from tests/__init__.py rename to tests/ekobox/test_evol_pdf.py diff --git a/tests/ekomark/test_apply.py b/tests/ekomark/test_apply.py new file mode 100644 index 000000000..8869d8201 --- /dev/null +++ b/tests/ekomark/test_apply.py @@ -0,0 +1,54 @@ +# -*- coding: utf-8 -*- +import numpy as np + +from eko import output +from ekomark import apply + + +class TestApply: + def test_apply(self, fake_output, fake_pdf): + q2_out = list(fake_output["Q2grid"].keys())[0] + # create object + o = output.Output(fake_output) + # fake pdfs + pdf_grid = apply.apply_pdf(o, fake_pdf) + assert len(pdf_grid) == len(fake_output["Q2grid"]) + pdfs = pdf_grid[q2_out]["pdfs"] + assert list(pdfs.keys()) == fake_output["targetpids"] + ref_pid1 = fake_output["Q2grid"][q2_out]["operators"][0, :, 1, :] @ np.ones( + len(fake_output["interpolation_xgrid"]) + ) + np.testing.assert_allclose(pdfs[0], ref_pid1) + ref_pid2 = fake_output["Q2grid"][q2_out]["operators"][1, :, 1, :] @ np.ones( + len(fake_output["interpolation_xgrid"]) + ) + np.testing.assert_allclose(pdfs[1], ref_pid2) + # rotate to target_grid + target_grid = [0.75] + pdf_grid = apply.apply_pdf(o, fake_pdf, target_grid) + assert len(pdf_grid) == 1 + pdfs = pdf_grid[q2_out]["pdfs"] + assert list(pdfs.keys()) == fake_output["targetpids"] + + def test_apply_flavor(self, fake_output, fake_pdf, monkeypatch): + q2_out = list(fake_output["Q2grid"].keys())[0] + # create object + o = output.Output(fake_output) + # fake pdfs + monkeypatch.setattr( + "eko.basis_rotation.rotate_flavor_to_evolution", np.ones((2, 2)) + ) + monkeypatch.setattr( + "eko.basis_rotation.flavor_basis_pids", fake_output["targetpids"] + ) + fake_evol_basis = ("a", "b") + monkeypatch.setattr("eko.basis_rotation.evol_basis", fake_evol_basis) + pdf_grid = apply.apply_pdf(o, fake_pdf, rotate_to_evolution_basis=True) + assert len(pdf_grid) == len(fake_output["Q2grid"]) + pdfs = pdf_grid[q2_out]["pdfs"] + assert list(pdfs.keys()) == list(fake_evol_basis) + ref_a = ( + fake_output["Q2grid"][q2_out]["operators"][0, :, 1, :] + + fake_output["Q2grid"][q2_out]["operators"][1, :, 1, :] + ) @ np.ones(len(fake_output["interpolation_xgrid"])) + np.testing.assert_allclose(pdfs["a"], ref_a)