metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "README.md",
"repo_name": "lsst-uk/lasair-lsst",
"repo_path": "lasair-lsst_extracted/lasair-lsst-main/pipeline/ingest/README.md",
"type": "Markdown"
} | #
| lsst-ukREPO_NAMElasair-lsstPATH_START.@lasair-lsst_extracted@lasair-lsst-main@pipeline@ingest@README.md@.PATH_END.py |
{
"filename": "procedure.py",
"repo_name": "CP3-Origins/cp3-bench",
"repo_path": "cp3-bench_extracted/cp3-bench-master/bench/methods/dso/procedure.py",
"type": "Python"
} | import click
import json
import os
import sys
import logging
import numpy as np
from dso import DeepSymbolicRegressor
# Method to Procedure superclass
sys.path.append(os.path.join(os.path.dirname(__file__), '../../../'))
from bench.utils.method_evaluator import MethodEvaluator
PATH = os.path.dirname(os.path.abspath(_... | CP3-OriginsREPO_NAMEcp3-benchPATH_START.@cp3-bench_extracted@cp3-bench-master@bench@methods@dso@procedure.py@.PATH_END.py |
{
"filename": "output.py",
"repo_name": "sirocco-rt/sirocco",
"repo_path": "sirocco_extracted/sirocco-main/py_progs/py4py/py4py/reverb/output.py",
"type": "Python"
} | """
Reverberation mapping output module
This contains helper functions that bundle up the production of multiple transfer functions or the creation of
response functions.
"""
# -*- coding: utf-8 -*-
# pylint: disable=C0301
import numpy as np
from typing import List, Optional
from py4py.reverb import TransferFunction
... | sirocco-rtREPO_NAMEsiroccoPATH_START.@sirocco_extracted@sirocco-main@py_progs@py4py@py4py@reverb@output.py@.PATH_END.py |
{
"filename": "_hexbin_mapbox.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/figure_factory/_hexbin_mapbox.py",
"type": "Python"
} | from plotly.express._core import build_dataframe
from plotly.express._doc import make_docstring
from plotly.express._chart_types import choropleth_mapbox, scatter_mapbox
import narwhals.stable.v1 as nw
import numpy as np
def _project_latlon_to_wgs84(lat, lon):
"""
Projects lat and lon to WGS84, used to get re... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@figure_factory@_hexbin_mapbox.py@.PATH_END.py |
{
"filename": "_layout.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/template/_layout.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LayoutValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="layout", parent_name="layout.template", **kwargs):
super(LayoutValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@template@_layout.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "aburgasser/kastredux",
"repo_path": "kastredux_extracted/kastredux-main/docs/source/conf.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
#
# SpeX Prism Library Analysis Toolkit documentation build configuration file, created by
# sphinx-quickstart on Sat Jul 11 20:07:28 2015.
#
##################
# you should compile this using the following command in the _build folder:
# sphinx-apidoc -f -o docs/source projectdir
#########... | aburgasserREPO_NAMEkastreduxPATH_START.@kastredux_extracted@kastredux-main@docs@source@conf.py@.PATH_END.py |
{
"filename": "_direction.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/pie/_direction.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class DirectionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="direction", parent_name="pie", **kwargs):
super(DirectionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@pie@_direction.py@.PATH_END.py |
{
"filename": "const.py",
"repo_name": "OpenAccess-AI-Collective/axolotl",
"repo_path": "axolotl_extracted/axolotl-main/src/axolotl/common/const.py",
"type": "Python"
} | """
Various shared constants
"""
DEFAULT_DATASET_PREPARED_PATH = "last_run_prepared"
| OpenAccess-AI-CollectiveREPO_NAMEaxolotlPATH_START.@axolotl_extracted@axolotl-main@src@axolotl@common@const.py@.PATH_END.py |
{
"filename": "init.py",
"repo_name": "antoinemarchal/ROHSA",
"repo_path": "ROHSA_extracted/ROHSA-master/publication/OBS/init.py",
"type": "Python"
} | import numpy as np
from astropy.io import fits
import matplotlib.pyplot as plt
from ROHSApy import ROHSA
path = "/data/amarchal/ROHSA_paper/"
fitsname = path + "data/observation/GHIGLS_NEP_Tb.fits"
hdu = fits.open(fitsname)
hdr = hdu[0].header
cube = hdu[0].data[0][200:500,:,:]
# hdu_rms = fits.open(path + "data/")
# ... | antoinemarchalREPO_NAMEROHSAPATH_START.@ROHSA_extracted@ROHSA-master@publication@OBS@init.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/sklearn/_loss/tests/__init__.py",
"type": "Python"
} | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@sklearn@_loss@tests@__init__.py@.PATH_END.py | |
{
"filename": "_ticktext.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/ternary/aaxis/_ticktext.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self, plotly_name="ticktext", parent_name="layout.ternary.aaxis", **kwargs
):
super(TicktextValidator, self).__init__(
plotly_name=plotly_name,
pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@ternary@aaxis@_ticktext.py@.PATH_END.py |
{
"filename": "test_pipeline_setup.py",
"repo_name": "pyDANDIA/pyDANDIA",
"repo_path": "pyDANDIA_extracted/pyDANDIA-main/pyDANDIA/tests/test_pipeline_setup.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Created on Fri Oct 13 14:09:50 2017
@author: rstreet
"""
from os import getcwd, path
from sys import path as systempath
cwd = getcwd()
systempath.append(path.join(cwd,'../'))
import pipeline_setup
def test_pipeline_setup():
"""Function to set the essential parameters to run the pyDAND... | pyDANDIAREPO_NAMEpyDANDIAPATH_START.@pyDANDIA_extracted@pyDANDIA-main@pyDANDIA@tests@test_pipeline_setup.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "jmschrei/pomegranate",
"repo_path": "pomegranate_extracted/pomegranate-master/tests/__init__.py",
"type": "Python"
} | jmschreiREPO_NAMEpomegranatePATH_START.@pomegranate_extracted@pomegranate-master@tests@__init__.py@.PATH_END.py | |
{
"filename": "plot_gh_performance.py",
"repo_name": "seinecke/aict-tools",
"repo_path": "aict-tools_extracted/aict-tools-master/aict_tools/scripts/plot_gh_performance.py",
"type": "Python"
} | import click
import logging
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
from sklearn.externals import joblib
from ..configuration import AICTConfig
import fact.io
from ..plotting import (
plot_roc,
plot_probabilities,
plot_precision_recall,
plot_feature_importan... | seineckeREPO_NAMEaict-toolsPATH_START.@aict-tools_extracted@aict-tools-master@aict_tools@scripts@plot_gh_performance.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "HERA-Team/aipy",
"repo_path": "aipy_extracted/aipy-main/aipy/__init__.py",
"type": "Python"
} | """
This package collects together tools for radio astronomical interferometry.
In addition to pure-python phasing, calibration, imaging, and
deconvolution code, this package includes interfaces to MIRIAD (a Fortran
interferometry package) and HEALPix (a package for representing spherical
data sets), and some math/fitt... | HERA-TeamREPO_NAMEaipyPATH_START.@aipy_extracted@aipy-main@aipy@__init__.py@.PATH_END.py |
{
"filename": "Richtmeyer_Meshkov.md",
"repo_name": "amrvac/amrvac",
"repo_path": "amrvac_extracted/amrvac-master/tests/hd/Richtmyer_Meshkov/Richtmeyer_Meshkov.md",
"type": "Markdown"
} | # Richtmeyer Meshkov 2D test problem
\test 2D HD test: Shock interaction with a contact discontinuity
# Introduction
This is a 2D test (as studied e.g. in Delmont et al, JFM 2009, 627, 33-53) where a planar shock impinges
on an inclined contact discontinuity. The evolution in the early stages as far as the refractio... | amrvacREPO_NAMEamrvacPATH_START.@amrvac_extracted@amrvac-master@tests@hd@Richtmyer_Meshkov@Richtmeyer_Meshkov.md@.PATH_END.py |
{
"filename": "lensinfocache.py",
"repo_name": "j0r1/GRALE2",
"repo_path": "GRALE2_extracted/GRALE2-master/pygrale/grale/lensinfocache.py",
"type": "Python"
} | """TODO"""
import pickle
import hashlib
import os
from . import plotutil
from . import privutil
from . import lenses
class LensInfoCacheException(Exception):
"""An exception that's generated if something goes wrong in a function
provided by this module."""
pass
class LensInfoCache(object):
"""TODO"""... | j0r1REPO_NAMEGRALE2PATH_START.@GRALE2_extracted@GRALE2-master@pygrale@grale@lensinfocache.py@.PATH_END.py |
{
"filename": "_weight.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/newshape/legendgrouptitle/font/_weight.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WeightValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self,
plotly_name="weight",
parent_name="layout.newshape.legendgrouptitle.font",
**kwargs,
):
super(WeightValidator, self).__init__(
plotl... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@newshape@legendgrouptitle@font@_weight.py@.PATH_END.py |
{
"filename": "generate.py",
"repo_name": "jiwoncpark/baobab",
"repo_path": "baobab_extracted/baobab-master/baobab/generate.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""Generating the training data.
This script generates the training data according to the config specifications.
Example
-------
To run this script, pass in the desired config file as argument::
$ generate baobab/configs/tdlmc_diagonal_config.py --n_data 1000
"""
import os, sys
import r... | jiwoncparkREPO_NAMEbaobabPATH_START.@baobab_extracted@baobab-master@baobab@generate.py@.PATH_END.py |
{
"filename": "_hovertemplatesrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/violin/_hovertemplatesrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="hovertemplatesrc", parent_name="violin", **kwargs):
super(HovertemplatesrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@violin@_hovertemplatesrc.py@.PATH_END.py |
{
"filename": "findMatchingVertexInst.cc.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/Mesh/findMatchingVertexInst.cc.py",
"type": "Python"
} | text = """
//------------------------------------------------------------------------------
// Explicit instantiation.
//------------------------------------------------------------------------------
#include "Mesh/findMatchingVertexTempl.cc"
namespace Spheral {
template unsigned findMatchingVertex<Dim< %(ndim)s >::... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@Mesh@findMatchingVertexInst.cc.py@.PATH_END.py |
{
"filename": "test_multiclass_classification_sampling_error.py",
"repo_name": "NannyML/nannyml",
"repo_path": "nannyml_extracted/nannyml-main/tests/sampling_error/test_multiclass_classification_sampling_error.py",
"type": "Python"
} | # Author: Niels Nuyttens <niels@nannyml.com>
#
# License: Apache Software License 2.0
"""Tests."""
import numpy as np
from sklearn.preprocessing import LabelBinarizer
import nannyml.sampling_error.multiclass_classification as mse
def test_multiclass_auroc_sampling_error(): # noqa: D103
np.random.seed(1)
... | NannyMLREPO_NAMEnannymlPATH_START.@nannyml_extracted@nannyml-main@tests@sampling_error@test_multiclass_classification_sampling_error.py@.PATH_END.py |
{
"filename": "engine.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/src/prefect/engine.py",
"type": "Python"
} | import os
import sys
from uuid import UUID
from prefect._internal.compatibility.migration import getattr_migration
from prefect.exceptions import (
Abort,
Pause,
)
from prefect.logging.loggers import (
get_logger,
)
from prefect.utilities.asyncutils import (
run_coro_as_sync,
)
engine_logger = get_log... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@src@prefect@engine.py@.PATH_END.py |
{
"filename": "_ticklabelposition.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/_ticklabelposition.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TicklabelpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="ticklabelposition",
parent_name="scattercarpet.marker.colorbar",
**kwargs,
):
super(TicklabelpositionValidator, self)... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattercarpet@marker@colorbar@_ticklabelposition.py@.PATH_END.py |
{
"filename": "_textfont.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/waterfall/_textfont.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Textfont(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "waterfall"
_path_str = "waterfall.textfont"
_valid_props = {
"color",
"col... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@waterfall@_textfont.py@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/spark/catboost4j-spark/core/src/test/generate_canonical_results/utils.py",
"type": "Python"
} | import errno
import os
import shutil
import socket
import socketserver
import subprocess
import string
import tempfile
import time
import catboost as cb
from config import CATBOOST_APP_PATH
def object_list_to_tsv(object_list, file_path):
with open(file_path, 'w') as f:
for object_data in object_list:
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@spark@catboost4j-spark@core@src@test@generate_canonical_results@utils.py@.PATH_END.py |
{
"filename": "printing.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/io/formats/printing.py",
"type": "Python"
} | """
Printing tools.
"""
from __future__ import annotations
from collections.abc import (
Callable,
Iterable,
Mapping,
Sequence,
)
import sys
from typing import (
TYPE_CHECKING,
Any,
TypeVar,
Union,
)
from unicodedata import east_asian_width
from pandas._config import get_option
from ... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@io@formats@printing.py@.PATH_END.py |
{
"filename": "_ysrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/histogram2dcontour/_ysrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="ysrc", parent_name="histogram2dcontour", **kwargs):
super(YsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@histogram2dcontour@_ysrc.py@.PATH_END.py |
{
"filename": "test_util.py",
"repo_name": "AdamCobb/hamiltorch",
"repo_path": "hamiltorch_extracted/hamiltorch-master/tests/test_util.py",
"type": "Python"
} | import unittest
import torch.nn as nn
from torch.nn import functional as F
import hamiltorch.util
import torch
class UtilTestCase(unittest.TestCase):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def test_flatten_unflatten(self):
model = nn.Linear(4, 4)
flatte... | AdamCobbREPO_NAMEhamiltorchPATH_START.@hamiltorch_extracted@hamiltorch-master@tests@test_util.py@.PATH_END.py |
{
"filename": "_size.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/smith/imaginaryaxis/tickfont/_size.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="size",
parent_name="layout.smith.imaginaryaxis.tickfont",
**kwargs,
):
super(SizeValidator, self).__init__(
plotly_name=pl... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@smith@imaginaryaxis@tickfont@_size.py@.PATH_END.py |
{
"filename": "Fe_statistic.py",
"repo_name": "nanograv/enterprise_extensions",
"repo_path": "enterprise_extensions_extracted/enterprise_extensions-master/enterprise_extensions/frequentist/Fe_statistic.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import numpy as np
import scipy.linalg as sl
from enterprise.signals import (gp_signals, parameter, signal_base, utils,
white_signals)
class FeStat(object):
"""
Class for the Fe-statistic.
:param psrs: List of `enterprise` Pulsar instances.
:pa... | nanogravREPO_NAMEenterprise_extensionsPATH_START.@enterprise_extensions_extracted@enterprise_extensions-master@enterprise_extensions@frequentist@Fe_statistic.py@.PATH_END.py |
{
"filename": "_enabled.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattersmith/marker/colorbar/tickformatstop/_enabled.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self,
plotly_name="enabled",
parent_name="scattersmith.marker.colorbar.tickformatstop",
**kwargs,
):
super(EnabledValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattersmith@marker@colorbar@tickformatstop@_enabled.py@.PATH_END.py |
{
"filename": "Boundary_PYB11.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/PYB11/Boundary/Boundary_PYB11.py",
"type": "Python"
} | """
Spheral Boundary module.
Provides the Boundary base class and many boundary implementations.
"""
from PYB11Generator import *
from SpheralCommon import *
from spheralDimensions import *
dims = spheralDimensions()
#-------------------------------------------------------------------------------
# Includes
#-------... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@PYB11@Boundary@Boundary_PYB11.py@.PATH_END.py |
{
"filename": "np_utils.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/keras/utils/np_utils.py",
"type": "Python"
} | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@keras@utils@np_utils.py@.PATH_END.py |
{
"filename": "_variantsrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatter3d/textfont/_variantsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VariantsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="variantsrc", parent_name="scatter3d.textfont", **kwargs
):
super(VariantsrcValidator, self).__init__(
plotly_name=plotly_name,
pare... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatter3d@textfont@_variantsrc.py@.PATH_END.py |
{
"filename": "_tickvalssrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/heatmapgl/colorbar/_tickvalssrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="tickvalssrc", parent_name="heatmapgl.colorbar", **kwargs
):
super(TickvalssrcValidator, self).__init__(
plotly_name=plotly_name,
p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@heatmapgl@colorbar@_tickvalssrc.py@.PATH_END.py |
{
"filename": "julia_helper.py",
"repo_name": "jrenaud90/TidalPy",
"repo_path": "TidalPy_extracted/TidalPy-main/TidalPy/utilities/integration/julia_helper.py",
"type": "Python"
} | """ Helper functions to interface with Julia / Diffeqpy's integration suite """
from typing import Tuple
import numpy as np
from . import _de, _ode, julia_installed
# Read more about Julia's ode solvers here: https://diffeq.sciml.ai/dev/solvers/ode_solve/
known_integration_methods = (
'rk4', 'rk45', 'tsit5', '... | jrenaud90REPO_NAMETidalPyPATH_START.@TidalPy_extracted@TidalPy-main@TidalPy@utilities@integration@julia_helper.py@.PATH_END.py |
{
"filename": "test_py_hireion.py",
"repo_name": "NumCosmo/NumCosmo",
"repo_path": "NumCosmo_extracted/NumCosmo-master/tests/test_py_hireion.py",
"type": "Python"
} | #!/usr/bin/env python
#
# test_py_hireion.py
#
# Sun Sep 08 14:33:22 2024
# Copyright 2024 Sandro Dias Pinto Vitenti
# <vitenti@uel.br>
#
# test_py_hireion.py
# Copyright (C) 2024 Sandro Dias Pinto Vitenti <vitenti@uel.br>
#
# numreion is free software: you can redistribute it and/or modify it
# under the terms of th... | NumCosmoREPO_NAMENumCosmoPATH_START.@NumCosmo_extracted@NumCosmo-master@tests@test_py_hireion.py@.PATH_END.py |
{
"filename": "lazy_indexer.py",
"repo_name": "ska-sa/katdal",
"repo_path": "katdal_extracted/katdal-master/katdal/lazy_indexer.py",
"type": "Python"
} | ################################################################################
# Copyright (c) 2011-2022, National Research Foundation (SARAO)
#
# Licensed under the BSD 3-Clause License (the "License"); you may not use
# this file except in compliance with the License. You may obtain a copy
# of the License at
#
# ... | ska-saREPO_NAMEkatdalPATH_START.@katdal_extracted@katdal-master@katdal@lazy_indexer.py@.PATH_END.py |
{
"filename": "hough_lines.py",
"repo_name": "itseez/opencv",
"repo_path": "opencv_extracted/opencv-master/samples/python/tutorial_code/ImgTrans/HoughLine/hough_lines.py",
"type": "Python"
} | """
@file hough_lines.py
@brief This program demonstrates line finding with the Hough transform
"""
import sys
import math
import cv2 as cv
import numpy as np
def main(argv):
## [load]
default_file = 'sudoku.png'
filename = argv[0] if len(argv) > 0 else default_file
# Loads an image
src = cv.imre... | itseezREPO_NAMEopencvPATH_START.@opencv_extracted@opencv-master@samples@python@tutorial_code@ImgTrans@HoughLine@hough_lines.py@.PATH_END.py |
{
"filename": "astrometry.py",
"repo_name": "sdss/lvmagp",
"repo_path": "lvmagp_extracted/lvmagp-main/python/lvmagp/guide/calc/astrometry.py",
"type": "Python"
} | from typing import Tuple, Dict, List, Any
import logging
from asyncio import gather
from threading import Thread
import numpy as np
import astrometry
from scipy.ndimage import gaussian_filter
from scipy.ndimage import median_filter
from astropy.wcs import WCS
from astropy.stats import mad_std
from astropy.coordinat... | sdssREPO_NAMElvmagpPATH_START.@lvmagp_extracted@lvmagp-main@python@lvmagp@guide@calc@astrometry.py@.PATH_END.py |
{
"filename": "Sqlite3Tutorial.ipynb",
"repo_name": "natashabatalha/picaso",
"repo_path": "picaso_extracted/picaso-master/docs/notebooks/codehelp/Sqlite3Tutorial.ipynb",
"type": "Jupyter Notebook"
} | # SQLITE Tutorial
This tutorial shows you how query the existing `opacity.db` and also shows you how to customize your own `opacity.db`
A lot of this code is embedded in PICASO.
```python
import sqlite3
import io
import numpy as np
import os
```
## Establishing a Connection to a Database
```python
#this is whe... | natashabatalhaREPO_NAMEpicasoPATH_START.@picaso_extracted@picaso-master@docs@notebooks@codehelp@Sqlite3Tutorial.ipynb@.PATH_END.py |
{
"filename": "waves_on_a_string.py",
"repo_name": "DedalusProject/dedalus",
"repo_path": "dedalus_extracted/dedalus-master/examples/evp_1d_waves_on_a_string/waves_on_a_string.py",
"type": "Python"
} | """
Dedalus script computing the eigenmodes of waves on a clamped string.
This script demonstrates solving a 1D eigenvalue problem and produces
plots of the first few eigenmodes and the relative error of the eigenvalues.
It should take just a few seconds to run (serial only).
We use a Legendre basis to solve the EVP:
... | DedalusProjectREPO_NAMEdedalusPATH_START.@dedalus_extracted@dedalus-master@examples@evp_1d_waves_on_a_string@waves_on_a_string.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "HERA-Team/hera_mc",
"repo_path": "hera_mc_extracted/hera_mc-main/setup.py",
"type": "Python"
} | #! /usr/bin/env python
# -*- mode: python; coding: utf-8 -*-
# Copyright 2018 the HERA Collaboration
# Licensed under the 2-clause BSD license.
"""Module setup."""
import glob
import io
import sys
from setuptools import setup
# add hera_mc to our path in order to use the branch_scheme function
sys.path.append("hera... | HERA-TeamREPO_NAMEhera_mcPATH_START.@hera_mc_extracted@hera_mc-main@setup.py@.PATH_END.py |
{
"filename": "test_config.py",
"repo_name": "spacetelescope/stsynphot_refactor",
"repo_path": "stsynphot_refactor_extracted/stsynphot_refactor-master/stsynphot/tests/test_config.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""Test config.py module."""
# STDLIB
import os
# THIRD-PARTY
import numpy as np
import pytest
# SYNPHOT
from synphot.config import conf as synconf
from synphot.utils import generate_wavelengths
# LOCAL
from stsynphot import config
from stsynphot.stio ... | spacetelescopeREPO_NAMEstsynphot_refactorPATH_START.@stsynphot_refactor_extracted@stsynphot_refactor-master@stsynphot@tests@test_config.py@.PATH_END.py |
{
"filename": "loop_locator.py",
"repo_name": "MazinLab/MKIDGen3",
"repo_path": "MKIDGen3_extracted/MKIDGen3-main/mkidgen3/mkid_setup/loop_locator.py",
"type": "Python"
} | import logging
import numpy as np
import numpy.typing as nt
import scipy.optimize as opt
from typing import Optional, Callable
from mkidgen3.server.feedline_config import DDCConfig
from mkidgen3.drivers.ddc import ThreepartDDC
from mkidgen3.mkid_setup.sweeps import Sweep
def pointslope_intersect(
m0, x0, y0, m... | MazinLabREPO_NAMEMKIDGen3PATH_START.@MKIDGen3_extracted@MKIDGen3-main@mkidgen3@mkid_setup@loop_locator.py@.PATH_END.py |
{
"filename": "test_simple_vr.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/visualization/volume_rendering/tests/test_simple_vr.py",
"type": "Python"
} | import os
import shutil
import tempfile
from unittest import TestCase
import yt
from yt.testing import fake_random_ds
def setup():
"""Test specific setup."""
from yt.config import ytcfg
ytcfg["yt", "internals", "within_testing"] = True
class SimpleVRTest(TestCase):
# This toggles using a temporary... | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@visualization@volume_rendering@tests@test_simple_vr.py@.PATH_END.py |
{
"filename": "_width.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/contourcarpet/line/_width.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="width", parent_name="contourcarpet.line", **kwargs):
super(WidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@contourcarpet@line@_width.py@.PATH_END.py |
{
"filename": "acsConfigReport.py",
"repo_name": "ACS-Community/ACS",
"repo_path": "ACS_extracted/ACS-master/LGPL/Kit/acs/src/acsConfigReport.py",
"type": "Python"
} | #! /usr/bin/env python
#*******************************************************************************
# ALMA - Atacama Large Millimiter Array
# (c) European Southern Observatory, 2002
#
#
# who when what
# -------- -------- ----------------------------------------------
# mpasquat 26 SEP 2003 cr... | ACS-CommunityREPO_NAMEACSPATH_START.@ACS_extracted@ACS-master@LGPL@Kit@acs@src@acsConfigReport.py@.PATH_END.py |
{
"filename": "starcat.py",
"repo_name": "SISPO-developers/sispo",
"repo_path": "sispo_extracted/sispo-master/sispo/sim/starcat.py",
"type": "Python"
} | # SPDX-FileCopyrightText: 2021 Gabriel J. Schwarzkopf <sispo-devs@outlook.com>
#
# SPDX-License-Identifier: GPL-3.0-or-later
"""
Interface for handling data from a star catalogue. Retrieve data as well as
render and write images.
"""
import logging
import subprocess
import sys
from pathlib import Path
logger = loggi... | SISPO-developersREPO_NAMEsispoPATH_START.@sispo_extracted@sispo-master@sispo@sim@starcat.py@.PATH_END.py |
{
"filename": "mwpotential.py",
"repo_name": "fraserevans/speedystar",
"repo_path": "speedystar_extracted/speedystar-main/speedystar/utils/mwpotential.py",
"type": "Python"
} | from galpy.potential import HernquistPotential, MiyamotoNagaiPotential, KeplerPotential, evaluatePotentials, turn_physical_on, evaluaterforces,evaluatezforces,evaluateRforces, ChandrasekharDynamicalFrictionForce
from galpy.potential import NFWPotential, TriaxialNFWPotential#, PlummerSoftening#, MovingObjectPotential
f... | fraserevansREPO_NAMEspeedystarPATH_START.@speedystar_extracted@speedystar-main@speedystar@utils@mwpotential.py@.PATH_END.py |
{
"filename": "_namelength.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatterpolar/hoverlabel/_namelength.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="namelength", parent_name="scatterpolar.hoverlabel", **kwargs
):
super(NamelengthValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatterpolar@hoverlabel@_namelength.py@.PATH_END.py |
{
"filename": "test_multiclass.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/sklearn/tests/test_multiclass.py",
"type": "Python"
} | from re import escape
import numpy as np
import pytest
import scipy.sparse as sp
from numpy.testing import assert_allclose
from sklearn import datasets, svm
from sklearn.datasets import load_breast_cancer
from sklearn.exceptions import NotFittedError
from sklearn.impute import SimpleImputer
from sklearn.linear_model ... | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@sklearn@tests@test_multiclass.py@.PATH_END.py |
{
"filename": "make_testdata.py",
"repo_name": "astropy/pyvo",
"repo_path": "pyvo_extracted/pyvo-main/pyvo/dal/tests/make_testdata.py",
"type": "Python"
} | from pathlib import Path
import numpy as np
from astropy.table import Table
from astropy.io.votable.tree import VOTableFile, Info
from astropy.io.fits import ImageHDU
def _votablefile():
table = Table([
[23, 42, 1337],
[b'Illuminatus', b"Don't panic, and always carry a towel", b'Elite']
], n... | astropyREPO_NAMEpyvoPATH_START.@pyvo_extracted@pyvo-main@pyvo@dal@tests@make_testdata.py@.PATH_END.py |
{
"filename": "constants.py",
"repo_name": "desihub/redrock",
"repo_path": "redrock_extracted/redrock-main/py/redrock/constants.py",
"type": "Python"
} | """
redrock.constants
=================
Set constants used by the rest of the package.
"""
max_velo_diff = 1000.0 # km/s
max_velo_diff_star = 100.0 # km/s
min_resolution_integral = 0.99
min_deltachi2 = 9.
# Lyman-alpha from eqn 5 of Calura et al. 2012 (Arxiv: 1201.5121)
# Other from eqn 1.1 of Irsic et al. 2013 , ... | desihubREPO_NAMEredrockPATH_START.@redrock_extracted@redrock-main@py@redrock@constants.py@.PATH_END.py |
{
"filename": "skipping.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/pytest/py3/_pytest/skipping.py",
"type": "Python"
} | """Support for skip/xfail functions and markers."""
import dataclasses
import os
import platform
import sys
import traceback
from collections.abc import Mapping
from typing import Generator
from typing import Optional
from typing import Tuple
from typing import Type
from _pytest.config import Config
from _pytest.confi... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@pytest@py3@_pytest@skipping.py@.PATH_END.py |
{
"filename": "test_generate_observation.py",
"repo_name": "Smithsonian/ngehtsim",
"repo_path": "ngehtsim_extracted/ngehtsim-main/tests/test_generate_observation.py",
"type": "Python"
} | #######################################################
# imports
import ngehtsim.obs.obs_generator as og
import ngehtsim.obs.obs_plotter as op
import ngehtsim.metrics as cm
#######################################################
# generate an observation
# input settings file
yamlfile = './tests/data_generation/set... | SmithsonianREPO_NAMEngehtsimPATH_START.@ngehtsim_extracted@ngehtsim-main@tests@test_generate_observation.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "simonsobs/ocs",
"repo_path": "ocs_extracted/ocs-main/ocs/agents/influxdb_publisher/__init__.py",
"type": "Python"
} | simonsobsREPO_NAMEocsPATH_START.@ocs_extracted@ocs-main@ocs@agents@influxdb_publisher@__init__.py@.PATH_END.py | |
{
"filename": "run.py",
"repo_name": "ratt-ru/Stimela-classic",
"repo_path": "Stimela-classic_extracted/Stimela-classic-master/stimela/cargo/cab/casa_uvcontsub/src/run.py",
"type": "Python"
} | # -*- coding: future_fstrings -*-
import Crasa.Crasa as crasa
from scabha import config, parameters_dict, prun
print(f"Running CASA task '{config.binary}'")
task = crasa.CasaTask(config.binary, **parameters_dict)
task.run()
| ratt-ruREPO_NAMEStimela-classicPATH_START.@Stimela-classic_extracted@Stimela-classic-master@stimela@cargo@cab@casa_uvcontsub@src@run.py@.PATH_END.py |
{
"filename": "test_misc.py",
"repo_name": "joshspeagle/dynesty",
"repo_path": "dynesty_extracted/dynesty-master/tests/test_misc.py",
"type": "Python"
} | import numpy as np
import pytest
import dynesty
import pickle
from scipy import linalg
import dynesty.utils as dyutil
from multiprocessing import Pool
import itertools
from dynesty.dynamicsampler import _SAMPLERS
from dynesty.nestedsamplers import MultiEllipsoidSampler
from dynesty.sampling import sample_rwalk
from uti... | joshspeagleREPO_NAMEdynestyPATH_START.@dynesty_extracted@dynesty-master@tests@test_misc.py@.PATH_END.py |
{
"filename": "computeOccurrence-checkpoint.ipynb",
"repo_name": "stevepur/DR25-occurrence-public",
"repo_path": "DR25-occurrence-public_extracted/DR25-occurrence-public-main/GKbaselineSC0p9/.ipynb_checkpoints/computeOccurrence-checkpoint.ipynb",
"type": "Jupyter Notebook"
} | ```python
import os
import requests
import pandas as pd
from astropy.io import fits
from cStringIO import StringIO
import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import gamma
from scipy.optimize import minimize
from scipy.interpolate import RectBivariateSpline
import emcee
import corner
import scip... | stevepurREPO_NAMEDR25-occurrence-publicPATH_START.@DR25-occurrence-public_extracted@DR25-occurrence-public-main@GKbaselineSC0p9@.ipynb_checkpoints@computeOccurrence-checkpoint.ipynb@.PATH_END.py |
{
"filename": "verifyFlat.py",
"repo_name": "lsst/cp_verify",
"repo_path": "cp_verify_extracted/cp_verify-main/python/lsst/cp/verify/verifyFlat.py",
"type": "Python"
} | # This file is part of cp_verify.
#
# Developed for the LSST Data Management System.
# This product includes software developed by the LSST Project
# (http://www.lsst.org).
# See the COPYRIGHT file at the top-level directory of this distribution
# for details of code ownership.
#
# This program is free software: you ca... | lsstREPO_NAMEcp_verifyPATH_START.@cp_verify_extracted@cp_verify-main@python@lsst@cp@verify@verifyFlat.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "andizq/sf3dmodels",
"repo_path": "sf3dmodels_extracted/sf3dmodels-master/sf3dmodels/arepo/__init__.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
This package contains useful tools to operate on data
from the hybrid (SPH+AMR) code `AREPO`_ (Under development).
"""
# Packages may add whatever they like to this file, but
# should keep this content at the top.
# -----------------------------------... | andizqREPO_NAMEsf3dmodelsPATH_START.@sf3dmodels_extracted@sf3dmodels-master@sf3dmodels@arepo@__init__.py@.PATH_END.py |
{
"filename": "HydroStaticProfile.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/NodeGenerators/HydroStaticProfile.py",
"type": "Python"
} | # This bit of code solves the equation for hydrostatic equilibrium to return
# a density profile function to be used in various NodeGenerators
# NOTE: the eos tuple should contain at least one pair of eos and the range
# to which it applies. ex. (tillotsoneos, [rmin,rmax], gammaeos, [rmax,rmax2])
from math import *
#... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@NodeGenerators@HydroStaticProfile.py@.PATH_END.py |
{
"filename": "_hovertemplate.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/cone/_hovertemplate.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="hovertemplate", parent_name="cone", **kwargs):
super(HovertemplateValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_n... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@cone@_hovertemplate.py@.PATH_END.py |
{
"filename": "runcomparison.py",
"repo_name": "dtamayo/spock",
"repo_path": "spock_extracted/spock-master/run_integrations/runcomparison.py",
"type": "Python"
} | import math
import sys
from itertools import repeat
from multiprocessing import Pool
import pandas as pd
import rebound
from runfunctions import run_random
N_systems=2000
tmax = 1.e6
betamin=5
betamax=20
integrator=sys.argv[1]
dt = float(sys.argv[2])*math.sqrt(3)/100.
shadow = int(sys.argv[3])
Nthreads = int(sys.arg... | dtamayoREPO_NAMEspockPATH_START.@spock_extracted@spock-master@run_integrations@runcomparison.py@.PATH_END.py |
{
"filename": "human.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/core/langchain_core/messages/human.py",
"type": "Python"
} | from typing import Any, Literal, Union
from langchain_core.messages.base import BaseMessage, BaseMessageChunk
class HumanMessage(BaseMessage):
"""Message from a human.
HumanMessages are messages that are passed in from a human to the model.
Example:
.. code-block:: python
from lan... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@core@langchain_core@messages@human.py@.PATH_END.py |
{
"filename": "core_auto_encoder_test.py",
"repo_name": "google/flax",
"repo_path": "flax_extracted/flax-main/tests/core/design/core_auto_encoder_test.py",
"type": "Python"
} | # Copyright 2024 The Flax Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | googleREPO_NAMEflaxPATH_START.@flax_extracted@flax-main@tests@core@design@core_auto_encoder_test.py@.PATH_END.py |
{
"filename": "bz2fileio.py",
"repo_name": "CMB-S4/spt3g_software",
"repo_path": "spt3g_software_extracted/spt3g_software-master/core/tests/bz2fileio.py",
"type": "Python"
} | #!/usr/bin/env python
from spt3g import core
import time
# File to disk
pipe = core.G3Pipeline()
pipe.Add(core.G3InfiniteSource, type=core.G3FrameType.Timepoint, n=10)
n = 0
def addinfo(fr):
global n
if fr.type != core.G3FrameType.Timepoint:
return
fr["time"] = core.G3Time(int(time.time() * core... | CMB-S4REPO_NAMEspt3g_softwarePATH_START.@spt3g_software_extracted@spt3g_software-master@core@tests@bz2fileio.py@.PATH_END.py |
{
"filename": "test_boolean_regions.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/data_objects/tests/test_boolean_regions.py",
"type": "Python"
} | import numpy as np
from numpy.testing import assert_array_equal
from yt.testing import fake_amr_ds
# We use morton indices in this test because they are single floating point
# values that uniquely identify each cell. That's a convenient way to compare
# inclusion in set operations, since there are no duplicates.
... | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@data_objects@tests@test_boolean_regions.py@.PATH_END.py |
{
"filename": "_lenmode.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/icicle/marker/colorbar/_lenmode.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="lenmode", parent_name="icicle.marker.colorbar", **kwargs
):
super(LenmodeValidator, self).__init__(
plotly_name=plotly_name,
pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@icicle@marker@colorbar@_lenmode.py@.PATH_END.py |
{
"filename": "_xtype.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/contour/_xtype.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XtypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="xtype", parent_name="contour", **kwargs):
super(XtypeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@contour@_xtype.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "icrar/daliuge",
"repo_path": "daliuge_extracted/daliuge-master/daliuge-engine/dlg/data/__init__.py",
"type": "Python"
} | #
# ICRAR - International Centre for Radio Astronomy Research
# (c) UWA - The University of Western Australia, 2015
# Copyright by UWA (in the framework of the ICRAR)
# All rights reserved
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser G... | icrarREPO_NAMEdaliugePATH_START.@daliuge_extracted@daliuge-master@daliuge-engine@dlg@data@__init__.py@.PATH_END.py |
{
"filename": "_dataset_wrapper.py",
"repo_name": "pytorch/vision",
"repo_path": "vision_extracted/vision-main/torchvision/tv_tensors/_dataset_wrapper.py",
"type": "Python"
} | # type: ignore
from __future__ import annotations
import collections.abc
import contextlib
from collections import defaultdict
from copy import copy
import torch
from torchvision import datasets, tv_tensors
from torchvision.transforms.v2 import functional as F
__all__ = ["wrap_dataset_for_transforms_v2"]
def wr... | pytorchREPO_NAMEvisionPATH_START.@vision_extracted@vision-main@torchvision@tv_tensors@_dataset_wrapper.py@.PATH_END.py |
{
"filename": "system.py",
"repo_name": "DedalusProject/dedalus",
"repo_path": "dedalus_extracted/dedalus-master/dedalus/core/system.py",
"type": "Python"
} | """
Classes for systems of coefficients/fields.
"""
import numpy as np
from math import prod
from ..tools.cache import CachedMethod
from ..tools.general import unify
class CoeffSystem:
"""
Representation of a collection of fields that don't need to be transformed,
and are therefore stored as a contigou... | DedalusProjectREPO_NAMEdedalusPATH_START.@dedalus_extracted@dedalus-master@dedalus@core@system.py@.PATH_END.py |
{
"filename": "test_anisotropy.py",
"repo_name": "sibirrer/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/test/test_GalKin/test_anisotropy.py",
"type": "Python"
} | """Tests for `galkin` module."""
import pytest
import numpy.testing as npt
import numpy as np
import unittest
from lenstronomy.GalKin.anisotropy import Anisotropy
class TestAnisotropy(object):
def setup_method(self):
self._r_array = np.array([2.0, 3.0])
self._R_array = 1.0
def test_K(self):... | sibirrerREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@test@test_GalKin@test_anisotropy.py@.PATH_END.py |
{
"filename": "chains_convergence.py",
"repo_name": "mraveri/tensiometer",
"repo_path": "tensiometer_extracted/tensiometer-master/tensiometer/chains_convergence.py",
"type": "Python"
} | """
This file contains some functions to study convergence of the chains and
to compare the two posteriors.
"""
###############################################################################
# initial imports:
import copy
import time
import numpy as np
from getdist import MCSamples
from . import utilities as utils
... | mraveriREPO_NAMEtensiometerPATH_START.@tensiometer_extracted@tensiometer-master@tensiometer@chains_convergence.py@.PATH_END.py |
{
"filename": "_v.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/streamtube/_v.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="v", parent_name="streamtube", **kwargs):
super(VValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@streamtube@_v.py@.PATH_END.py |
{
"filename": "user.py",
"repo_name": "glass-dev/glass",
"repo_path": "glass_extracted/glass-main/glass/user.py",
"type": "Python"
} | """
User utilities
==============
.. currentmodule:: glass
The following functions/classes provide convenience functionality for users
of the library.
Input and Output
----------------
.. autofunction:: save_cls
.. autofunction:: load_cls
.. autofunction:: write_catalog
""" # noqa: D205, D400
from __future__ im... | glass-devREPO_NAMEglassPATH_START.@glass_extracted@glass-main@glass@user.py@.PATH_END.py |
{
"filename": "test_input_estimators.py",
"repo_name": "rapidsai/cuml",
"repo_path": "cuml_extracted/cuml-main/python/cuml/cuml/tests/test_input_estimators.py",
"type": "Python"
} | # Copyright (c) 2024, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | rapidsaiREPO_NAMEcumlPATH_START.@cuml_extracted@cuml-main@python@cuml@cuml@tests@test_input_estimators.py@.PATH_END.py |
{
"filename": "gamma.py",
"repo_name": "jax-ml/jax",
"repo_path": "jax_extracted/jax-main/jax/_src/scipy/stats/gamma.py",
"type": "Python"
} | # Copyright 2018 The JAX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | jax-mlREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@_src@scipy@stats@gamma.py@.PATH_END.py |
{
"filename": "_showticksuffix.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/mesh3d/colorbar/_showticksuffix.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="showticksuffix", parent_name="mesh3d.colorbar", **kwargs
):
super(ShowticksuffixValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@mesh3d@colorbar@_showticksuffix.py@.PATH_END.py |
{
"filename": "_bordercolor.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatterpolargl/marker/colorbar/_bordercolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self,
plotly_name="bordercolor",
parent_name="scatterpolargl.marker.colorbar",
**kwargs
):
super(BordercolorValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatterpolargl@marker@colorbar@_bordercolor.py@.PATH_END.py |
{
"filename": "_textsrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/barpolar/_textsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="textsrc", parent_name="barpolar", **kwargs):
super(TextsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@barpolar@_textsrc.py@.PATH_END.py |
{
"filename": "T03check_output_noise.py",
"repo_name": "nu-radio/NuRadioMC",
"repo_path": "NuRadioMC_extracted/NuRadioMC-master/NuRadioMC/test/Veff/1e18eV/T03check_output_noise.py",
"type": "Python"
} | #!/usr/bin/env python3
import numpy as np
import h5py
from NuRadioReco.utilities import units
import sys
import os
###########################
# Reference values from previous run, have to be updated, if code changes
###########################
# the event generation has a fixed seed and I switched to Alvarez2000 (al... | nu-radioREPO_NAMENuRadioMCPATH_START.@NuRadioMC_extracted@NuRadioMC-master@NuRadioMC@test@Veff@1e18eV@T03check_output_noise.py@.PATH_END.py |
{
"filename": "_customdatasrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/contourcarpet/_customdatasrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="customdatasrc", parent_name="contourcarpet", **kwargs
):
super(CustomdatasrcValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@contourcarpet@_customdatasrc.py@.PATH_END.py |
{
"filename": "test_make_subplots.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/tests/test_core/test_subplots/test_make_subplots.py",
"type": "Python"
} | from unittest import TestCase
import pytest
from plotly.graph_objs import (
Annotation,
Annotations,
Data,
Figure,
Font,
Layout,
layout,
Scene,
XAxis,
YAxis,
)
import plotly.tools as tls
from plotly import subplots
class TestMakeSubplots(TestCase):
"""
Test plotly.tools... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@tests@test_core@test_subplots@test_make_subplots.py@.PATH_END.py |
{
"filename": "context_help.py",
"repo_name": "ratt-ru/montblanc",
"repo_path": "montblanc_extracted/montblanc-master/montblanc/impl/rime/tensorflow/context_help.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2015 Simon Perkins
#
# This file is part of montblanc.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the L... | ratt-ruREPO_NAMEmontblancPATH_START.@montblanc_extracted@montblanc-master@montblanc@impl@rime@tensorflow@context_help.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "bd-j/forcepho",
"repo_path": "forcepho_extracted/forcepho-main/docs/conf.py",
"type": "Python"
} | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | bd-jREPO_NAMEforcephoPATH_START.@forcepho_extracted@forcepho-main@docs@conf.py@.PATH_END.py |
{
"filename": "test_tzinfo.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/pytz/py3/pytz/tests/test_tzinfo.py",
"type": "Python"
} | # -*- coding: ascii -*-
import doctest
import sys
import os
import os.path
import unittest
try:
import cPickle as pickle
except ImportError:
import pickle
from datetime import (
datetime,
timedelta
)
import warnings
if __name__ == '__main__':
# Only munge path if invoked as a script. Testrunners s... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@pytz@py3@pytz@tests@test_tzinfo.py@.PATH_END.py |
{
"filename": "conventions.py",
"repo_name": "ggalloni/cobaya",
"repo_path": "cobaya_extracted/cobaya-master/cobaya/conventions.py",
"type": "Python"
} | """
.. module:: conventions
:Synopsis: Some physical constants and naming conventions
to make the life of the maintainer easier.
:Author: Jesus Torrado
"""
from typing import Final
# Package name (for importlib)
# (apparently __package__ is only defined if you import something locally.
cobaya_package = __... | ggalloniREPO_NAMEcobayaPATH_START.@cobaya_extracted@cobaya-master@cobaya@conventions.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "njcuk9999/apero-drs",
"repo_path": "apero-drs_extracted/apero-drs-main/bin/README.md",
"type": "Markdown"
} | # Bin folder
This folder contains symbolic links to the recipes/tools folder based on the instruments installed. | njcuk9999REPO_NAMEapero-drsPATH_START.@apero-drs_extracted@apero-drs-main@bin@README.md@.PATH_END.py |
{
"filename": "galstep.py",
"repo_name": "ruggiero/galstep",
"repo_path": "galstep_extracted/galstep-master/galstep/galstep.py",
"type": "Python"
} | # Run python galstep.py --help for a description.
from os import path, remove
from sys import exit, stdout, path as syspath
from time import sleep
import numpy as np
import numpy.random as nprand
from numpy import cos, sin, pi, arccos, log10, exp, arctan2, cosh
from scipy.optimize import brentq
from scipy import inte... | ruggieroREPO_NAMEgalstepPATH_START.@galstep_extracted@galstep-master@galstep@galstep.py@.PATH_END.py |
{
"filename": "prop_shift_center.py",
"repo_name": "ajeldorado/falco-python",
"repo_path": "falco-python_extracted/falco-python-master/falco/proper/prop_shift_center.py",
"type": "Python"
} | # Copyright 2016, 2017 California Institute of Technology
# Users must agree to abide by the restrictions listed in the
# file "LegalStuff.txt" in the PROPER library directory.
#
# PROPER developed at Jet Propulsion Laboratory/California Inst. Technology
# Original IDL version by John Krist
# Python transla... | ajeldoradoREPO_NAMEfalco-pythonPATH_START.@falco-python_extracted@falco-python-master@falco@proper@prop_shift_center.py@.PATH_END.py |
{
"filename": "skyloc_angles.py",
"repo_name": "jroulet/cogwheel",
"repo_path": "cogwheel_extracted/cogwheel-main/cogwheel/skyloc_angles.py",
"type": "Python"
} | """
Implementation of SkyLocAngles class to handle coordinate
transformations to and from right ascension and declination.
"""
import numpy as np
import lal
from cogwheel import utils
from cogwheel import gw_utils
class SkyLocAngles(utils.JSONMixin):
"""
Class that defines a coordinate system for sky locali... | jrouletREPO_NAMEcogwheelPATH_START.@cogwheel_extracted@cogwheel-main@cogwheel@skyloc_angles.py@.PATH_END.py |
{
"filename": "waterfall.py",
"repo_name": "ucberkeleyseti/blimpy",
"repo_path": "blimpy_extracted/blimpy-master/blimpy/waterfall.py",
"type": "Python"
} | #!/usr/bin/env python
"""
# waterfall.py
Python class and command line utility for reading and plotting waterfall files.
This provides a class, Waterfall(), which can be used to read a blimpy file (.fil or .h5):
fil = Waterfall("test_psr.fil")
print(fil.header)
print(fil.data.shape)
print(fil.freqs)... | ucberkeleysetiREPO_NAMEblimpyPATH_START.@blimpy_extracted@blimpy-master@blimpy@waterfall.py@.PATH_END.py |
{
"filename": "test_fftlog.py",
"repo_name": "cosmodesi/cosmoprimo",
"repo_path": "cosmoprimo_extracted/cosmoprimo-main/cosmoprimo/tests/test_fftlog.py",
"type": "Python"
} | import numpy as np
from scipy import integrate, interpolate
from cosmoprimo import Cosmology, Fourier
from cosmoprimo.fftlog import PowerToCorrelation, CorrelationToPower, TophatVariance, GaussianVariance, HankelTransform, pad
def wtophat_scalar(x):
if x < 0.1:
x2 = x**2
return 1. + x2 * (-1.0 / ... | cosmodesiREPO_NAMEcosmoprimoPATH_START.@cosmoprimo_extracted@cosmoprimo-main@cosmoprimo@tests@test_fftlog.py@.PATH_END.py |
{
"filename": "dedoc.ipynb",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/docs/docs/integrations/document_loaders/dedoc.ipynb",
"type": "Jupyter Notebook"
} | # Dedoc
This sample demonstrates the use of `Dedoc` in combination with `LangChain` as a `DocumentLoader`.
## Overview
[Dedoc](https://dedoc.readthedocs.io) is an [open-source](https://github.com/ispras/dedoc)
library/service that extracts texts, tables, attached files and document structure
(e.g., titles, list item... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@docs@docs@integrations@document_loaders@dedoc.ipynb@.PATH_END.py |
{
"filename": "stages.py",
"repo_name": "gmbrandt/xwavecal",
"repo_path": "xwavecal_extracted/xwavecal-main/xwavecal/stages.py",
"type": "Python"
} | import abc
import os
from xwavecal.database import query_db_for_nearest
import logging
class Stage(object):
def __init__(self, runtime_context):
self.runtime_context = runtime_context
self.logger = logging.getLogger(self.__class__.__name__)
@abc.abstractmethod
def do_stage(self, image):... | gmbrandtREPO_NAMExwavecalPATH_START.@xwavecal_extracted@xwavecal-main@xwavecal@stages.py@.PATH_END.py |
{
"filename": "etree.py",
"repo_name": "davidharvey1986/pyRRG",
"repo_path": "pyRRG_extracted/pyRRG-master/unittests/bugFixPyRRG/lib/python3.7/site-packages/pip/_vendor/html5lib/treebuilders/etree.py",
"type": "Python"
} | from __future__ import absolute_import, division, unicode_literals
# pylint:disable=protected-access
from pip._vendor.six import text_type
import re
from . import base
from .. import _ihatexml
from .. import constants
from ..constants import namespaces
from .._utils import moduleFactoryFactory
tag_regexp = re.compi... | davidharvey1986REPO_NAMEpyRRGPATH_START.@pyRRG_extracted@pyRRG-master@unittests@bugFixPyRRG@lib@python3.7@site-packages@pip@_vendor@html5lib@treebuilders@etree.py@.PATH_END.py |
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