metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "_geo.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/_geo.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class GeoValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="geo", parent_name="layout", **kwargs):
super(GeoValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_clas... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@_geo.py@.PATH_END.py |
{
"filename": "proc_btch.py",
"repo_name": "tdaylan/pcat",
"repo_path": "pcat_extracted/pcat-master/pcat/proc_btch.py",
"type": "Python"
} | from __init__ import *
from util import *
print 'PCAT final-processing routine'
boolfinl = False
boolanim = False
if len(sys.argv) == 1:
strgsrch = '20*'
boolfinl = True
boolanim = True
elif len(sys.argv) == 2:
strgsrch = sys.argv[1]
boolfinl = True
boolanim = True
elif len(sys.argv) == 3:
... | tdaylanREPO_NAMEpcatPATH_START.@pcat_extracted@pcat-master@pcat@proc_btch.py@.PATH_END.py |
{
"filename": "try_ifort.py",
"repo_name": "CosmoLike/cocoa",
"repo_path": "cocoa_extracted/cocoa-main/Cocoa/external_modules/code/planck/code/plc_3.0/plc-3.1/waf_tools/try_ifort.py",
"type": "Python"
} | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import re
import sys
from waflib import Options
import os.path as osp
from waflib import Logs
from waflib import Context
from waflib import Errors
### common tools
def show_linkline(ctx,flavour,wafname):
ctx... | CosmoLikeREPO_NAMEcocoaPATH_START.@cocoa_extracted@cocoa-main@Cocoa@external_modules@code@planck@code@plc_3.0@plc-3.1@waf_tools@try_ifort.py@.PATH_END.py |
{
"filename": "_width.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/choroplethmapbox/marker/line/_width.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="width", parent_name="choroplethmapbox.marker.line", **kwargs
):
super(WidthValidator, self).__init__(
plotly_name=plotly_name,
parent... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@choroplethmapbox@marker@line@_width.py@.PATH_END.py |
{
"filename": "op_reg_gen.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/compiler/mlir/tfr/python/op_reg_gen.py",
"type": "Python"
} | # Copyright 2020 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@compiler@mlir@tfr@python@op_reg_gen.py@.PATH_END.py |
{
"filename": "WD01.py",
"repo_name": "eblur/dust",
"repo_path": "dust_extracted/dust-master/astrodust/distlib/WD01.py",
"type": "Python"
} | """
Contains helper functions for producing a DustSpectrum object for the
Weingartner & Draine (2001) dust grain size distributions.
"""
import numpy as np
from astropy.io import ascii
import os
import scipy.special as special # Needed for WD01 equations
from .. import constants as c
from . import sizedist
MW_caseA_... | eblurREPO_NAMEdustPATH_START.@dust_extracted@dust-master@astrodust@distlib@WD01.py@.PATH_END.py |
{
"filename": "test_st_prompt.py",
"repo_name": "simonsobs/nextline-rdb",
"repo_path": "nextline-rdb_extracted/nextline-rdb-main/src/nextline_rdb/models/strategies/tests/test_st_prompt.py",
"type": "Python"
} | from typing import Optional, TypedDict
from hypothesis import Phase, given, settings
from hypothesis import strategies as st
from nextline_test_utils.strategies import st_graphql_ints, st_none_or
from ... import Model, TraceCall
from .. import st_model_prompt, st_model_trace_call
from .funcs import assert_model_pers... | simonsobsREPO_NAMEnextline-rdbPATH_START.@nextline-rdb_extracted@nextline-rdb-main@src@nextline_rdb@models@strategies@tests@test_st_prompt.py@.PATH_END.py |
{
"filename": "pipelineLogger.py",
"repo_name": "akleroy/phangs_imaging_scripts",
"repo_path": "phangs_imaging_scripts_extracted/phangs_imaging_scripts-master/phangsPipeline/pipelineLogger.py",
"type": "Python"
} |
import logging, os
DefaultLevel = 'DEBUG'
try:
from . import casaStuff
HasCasaLog = True
except:
HasCasaLog = False
class PipelineLogger(logging.getLoggerClass()):
"""A smart logging module which will redirect to CASA logger if in CASA otherwise to screen and file."""
def __init__(self, name, l... | akleroyREPO_NAMEphangs_imaging_scriptsPATH_START.@phangs_imaging_scripts_extracted@phangs_imaging_scripts-master@phangsPipeline@pipelineLogger.py@.PATH_END.py |
{
"filename": "_thickness.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/coloraxis/colorbar/_thickness.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="thickness", parent_name="layout.coloraxis.colorbar", **kwargs
):
super(ThicknessValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@coloraxis@colorbar@_thickness.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatterternary/marker/gradient/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._typesrc import TypesrcValidator
from ._type import TypeValidator
from ._colorsrc import ColorsrcValidator
from ._color import ColorValidator
else:
from _plotly_utils.importers import relative_import
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatterternary@marker@gradient@__init__.py@.PATH_END.py |
{
"filename": "realmstore.py",
"repo_name": "crossbario/crossbar",
"repo_path": "crossbar_extracted/crossbar-master/crossbar/router/realmstore.py",
"type": "Python"
} | #####################################################################################
#
# Copyright (c) typedef int GmbH
# SPDX-License-Identifier: EUPL-1.2
#
#####################################################################################
from collections import deque
from typing import Optional, List, Dict, A... | crossbarioREPO_NAMEcrossbarPATH_START.@crossbar_extracted@crossbar-master@crossbar@router@realmstore.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "tiny-hippo/planetsynth",
"repo_path": "planetsynth_extracted/planetsynth-main/planetsynth/support/__init__.py",
"type": "Python"
} | from .constants import *
from .functions import *
| tiny-hippoREPO_NAMEplanetsynthPATH_START.@planetsynth_extracted@planetsynth-main@planetsynth@support@__init__.py@.PATH_END.py |
{
"filename": "sim_detector.py",
"repo_name": "HARMONI-ELT/HSIM",
"repo_path": "HSIM_extracted/HSIM-master/hsim/src/sim_detector.py",
"type": "Python"
} | '''
Calculates detector QE, dark current, read noise
'''
import os
import logging
import numpy as np
import scipy.constants as sp
from scipy.interpolate import UnivariateSpline
from scipy.interpolate import interp1d
from scipy import integrate
from astropy.io import fits
from src.modules.misc_utils import path_setup
... | HARMONI-ELTREPO_NAMEHSIMPATH_START.@HSIM_extracted@HSIM-master@hsim@src@sim_detector.py@.PATH_END.py |
{
"filename": "retrieval_model.py",
"repo_name": "Jingxuan97/nemesispy",
"repo_path": "nemesispy_extracted/nemesispy-main/nemesispy/retrieval/TBD/retrieval_model.py",
"type": "Python"
} | import numpy as np
import os
import pymultinest
from nemesispy.radtran.forward_model import ForwardModel
from nemesispy.models.TP_profiles import TP_Guillot
from nemesispy.common.constants import G
from nemesispy.data.helper import lowres_file_paths, cia_file_path
"""
VMR [4.79650e-04 7.38846e-08 4.64342e-04 1.32733e-... | Jingxuan97REPO_NAMEnemesispyPATH_START.@nemesispy_extracted@nemesispy-main@nemesispy@retrieval@TBD@retrieval_model.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "dnarayanan/powderday",
"repo_path": "powderday_extracted/powderday-master/powderday/active_dust/__init__.py",
"type": "Python"
} | from . import dust_file_writer
| dnarayananREPO_NAMEpowderdayPATH_START.@powderday_extracted@powderday-master@powderday@active_dust@__init__.py@.PATH_END.py |
{
"filename": "P13.py",
"repo_name": "nickhand/pyRSD",
"repo_path": "pyRSD_extracted/pyRSD-master/pyRSD/rsd/power/biased/P13.py",
"type": "Python"
} | from .. import AngularTerm, PowerTerm, memoize
class P13_mu4(AngularTerm):
"""
Implement P13[mu4]
"""
@memoize
def total(self, k):
b1, b1_bar = self.m._ib1, self.m._ib1_bar
# velocities
sigsq = self.m.sigmav_halo**2
sigsq_bar = self.m.sigmav_halo_bar**2
... | nickhandREPO_NAMEpyRSDPATH_START.@pyRSD_extracted@pyRSD-master@pyRSD@rsd@power@biased@P13.py@.PATH_END.py |
{
"filename": "ClassSmearMapping.py",
"repo_name": "saopicc/DDFacet",
"repo_path": "DDFacet_extracted/DDFacet-master/DDFacet/Data/ClassSmearMapping.py",
"type": "Python"
} | '''
DDFacet, a facet-based radio imaging package
Copyright (C) 2013-2016 Cyril Tasse, l'Observatoire de Paris,
SKA South Africa, Rhodes University
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; eit... | saopiccREPO_NAMEDDFacetPATH_START.@DDFacet_extracted@DDFacet-master@DDFacet@Data@ClassSmearMapping.py@.PATH_END.py |
{
"filename": "custom_transpose.py",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/jax/_src/custom_transpose.py",
"type": "Python"
} | # Copyright 2022 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... | googleREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@_src@custom_transpose.py@.PATH_END.py |
{
"filename": "test_00_init.py",
"repo_name": "SNEWS2/snewpy",
"repo_path": "snewpy_extracted/snewpy-main/python/snewpy/test/test_00_init.py",
"type": "Python"
} | import snewpy
import unittest
class TestInit(unittest.TestCase):
def test_version_exists(self):
self.assertTrue(hasattr(snewpy, '__version__')) | SNEWS2REPO_NAMEsnewpyPATH_START.@snewpy_extracted@snewpy-main@python@snewpy@test@test_00_init.py@.PATH_END.py |
{
"filename": "starbase.3.ABC.md",
"repo_name": "jbroll/starbase",
"repo_path": "starbase_extracted/starbase-master/docs/starbase.3.ABC.md",
"type": "Markdown"
} |
Starbase C Function Alphabetical Listing
----------------------------------------
- [table_coladd]( table_coladd.html) - add a column to the table.
- [table_colarg]( table_colarg.html) - parse a table program column argument.
- [table_colnam]( table_colnam.html) - returns the name of the column number.
- [table_col... | jbrollREPO_NAMEstarbasePATH_START.@starbase_extracted@starbase-master@docs@starbase.3.ABC.md@.PATH_END.py |
{
"filename": "recipe_wvlsol.py",
"repo_name": "igrins/plp",
"repo_path": "plp_extracted/plp-master/igrins/igrins_recipes/recipe_wvlsol.py",
"type": "Python"
} | from __future__ import print_function
from ..procedures.sky_spec import (_make_combined_image_sky,
extract_spectra_multi)
from ..procedures.process_identify_multiline import identify_multiline
from ..procedures.process_wvlsol_volume_fit import volume_fit
from ..procedures.generate_... | igrinsREPO_NAMEplpPATH_START.@plp_extracted@plp-master@igrins@igrins_recipes@recipe_wvlsol.py@.PATH_END.py |
{
"filename": "CustomWidgets.py",
"repo_name": "wmpg/Supracenter",
"repo_path": "Supracenter_extracted/Supracenter-master/supra/GUI/Tools/CustomWidgets.py",
"type": "Python"
} | import os
import time
from functools import partial
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
import pyqtgraph as pg
from supra.GUI.Tools.GUITools import createLabelEditObj, createButton
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from m... | wmpgREPO_NAMESupracenterPATH_START.@Supracenter_extracted@Supracenter-master@supra@GUI@Tools@CustomWidgets.py@.PATH_END.py |
{
"filename": "result.py",
"repo_name": "NannyML/nannyml",
"repo_path": "nannyml_extracted/nannyml-main/nannyml/drift/multivariate/domain_classifier/result.py",
"type": "Python"
} | # Author: Niels Nuyttens <niels@nannyml.com>
# Author: Nikolaos Perrakis <nikos@nannyml.com>
#
# License: Apache Software License 2.0
"""Contains the results of the data reconstruction drift calculation and provides plotting functionality."""
from __future__ import annotations
from collections import namedtu... | NannyMLREPO_NAMEnannymlPATH_START.@nannyml_extracted@nannyml-main@nannyml@drift@multivariate@domain_classifier@result.py@.PATH_END.py |
{
"filename": "_templateitemname.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/selection/_templateitemname.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="templateitemname", parent_name="layout.selection", **kwargs
):
super(TemplateitemnameValidator, self).__init__(
plotly_name=plotly_nam... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@selection@_templateitemname.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "triton-inference-server/server",
"repo_path": "server_extracted/server-main/qa/openvino_models/README.md",
"type": "Markdown"
} | <!--
# Copyright 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice, this list o... | triton-inference-serverREPO_NAMEserverPATH_START.@server_extracted@server-main@qa@openvino_models@README.md@.PATH_END.py |
{
"filename": "_xperiodalignment.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatter/_xperiodalignment.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XperiodalignmentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="xperiodalignment", parent_name="scatter", **kwargs):
super(XperiodalignmentValidator, self).__init__(
plotly_name=plotly_name,
pare... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatter@_xperiodalignment.py@.PATH_END.py |
{
"filename": "test_regression.py",
"repo_name": "rhayes777/PyAutoFit",
"repo_path": "PyAutoFit_extracted/PyAutoFit-main/test_autofit/mapper/model/test_regression.py",
"type": "Python"
} | from typing import List
import pytest
import autofit as af
from autoconf.exc import ConfigException
from autofit.example.model import PhysicalNFW
from autofit.mapper.mock.mock_model import WithString
from autofit.mapper.model_object import Identifier
class SomeWeirdClass:
def __init__(self, argument):
s... | rhayes777REPO_NAMEPyAutoFitPATH_START.@PyAutoFit_extracted@PyAutoFit-main@test_autofit@mapper@model@test_regression.py@.PATH_END.py |
{
"filename": "_shadow.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/isosurface/colorbar/title/font/_shadow.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShadowValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="shadow",
parent_name="isosurface.colorbar.title.font",
**kwargs,
):
super(ShadowValidator, self).__init__(
plotly_name=p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@isosurface@colorbar@title@font@_shadow.py@.PATH_END.py |
{
"filename": "compute_correction_function.py",
"repo_name": "oliverphilcox/RascalC",
"repo_path": "RascalC_extracted/RascalC-master/python/compute_correction_function.py",
"type": "Python"
} | ### Function to fit a model to the survey correction function, defined as the ratio between model and true RR pair counts for a single survey. This fits a piecewise polynomial model to the data.
## NB: Input RR counts should be normalized by summed galaxy weights here.
## NB: Assume mu is in [0,1] limit here
import s... | oliverphilcoxREPO_NAMERascalCPATH_START.@RascalC_extracted@RascalC-master@python@compute_correction_function.py@.PATH_END.py |
{
"filename": "setup_package.py",
"repo_name": "andizq/sf3dmodels",
"repo_path": "sf3dmodels_extracted/sf3dmodels-master/sf3dmodels/tests/setup_package.py",
"type": "Python"
} | # import os
# If this package has tests data in the tests/data directory, add them to
# the paths here, see commented example
paths = ['coveragerc',
# os.path.join('data', '*fits')
]
def get_package_data():
return {
_ASTROPY_PACKAGE_NAME_ + '.tests': paths}
| andizqREPO_NAMEsf3dmodelsPATH_START.@sf3dmodels_extracted@sf3dmodels-master@sf3dmodels@tests@setup_package.py@.PATH_END.py |
{
"filename": "_text.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/pie/_text.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="text", parent_name="pie", **kwargs):
super(TextValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_typ... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@pie@_text.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "ratt-ru/QuartiCal",
"repo_path": "QuartiCal_extracted/QuartiCal-main/quartical/gains/complex/__init__.py",
"type": "Python"
} | import numpy as np
from quartical.gains.gain import Gain
from quartical.gains.conversion import amp_trig_to_complex
from quartical.gains.complex.kernel import complex_solver
from quartical.gains.complex.diag_kernel import diag_complex_solver
class Complex(Gain):
solver = staticmethod(complex_solver)
# Conver... | ratt-ruREPO_NAMEQuartiCalPATH_START.@QuartiCal_extracted@QuartiCal-main@quartical@gains@complex@__init__.py@.PATH_END.py |
{
"filename": "_style.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatterternary/marker/colorbar/tickfont/_style.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StyleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="style",
parent_name="scatterternary.marker.colorbar.tickfont",
**kwargs,
):
super(StyleValidator, self).__init__(
plo... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatterternary@marker@colorbar@tickfont@_style.py@.PATH_END.py |
{
"filename": "test_stardata.py",
"repo_name": "karllark/measure_extinction",
"repo_path": "measure_extinction_extracted/measure_extinction-master/measure_extinction/tests/test_stardata.py",
"type": "Python"
} | import pkg_resources
import astropy.units as u
from measure_extinction.stardata import StarData
def test_load_stardata():
# get the location of the data files
data_path = pkg_resources.resource_filename("measure_extinction", "data/")
# read in the observed data on the star
star = StarData("hd229238... | karllarkREPO_NAMEmeasure_extinctionPATH_START.@measure_extinction_extracted@measure_extinction-master@measure_extinction@tests@test_stardata.py@.PATH_END.py |
{
"filename": "test_gpu_with_dask.py",
"repo_name": "dmlc/xgboost",
"repo_path": "xgboost_extracted/xgboost-master/tests/test_distributed/test_gpu_with_dask/test_gpu_with_dask.py",
"type": "Python"
} | """Copyright 2019-2024, XGBoost contributors"""
import asyncio
import json
from collections import OrderedDict
from inspect import signature
from typing import Any, Dict, List, Type, TypeVar
import numpy as np
import pytest
from hypothesis import given, note, settings, strategies
from hypothesis._settings import dura... | dmlcREPO_NAMExgboostPATH_START.@xgboost_extracted@xgboost-master@tests@test_distributed@test_gpu_with_dask@test_gpu_with_dask.py@.PATH_END.py |
{
"filename": "_size.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/sankey/textfont/_size.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="size", parent_name="sankey.textfont", **kwargs):
super(SizeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@sankey@textfont@_size.py@.PATH_END.py |
{
"filename": "onedspec.py",
"repo_name": "cylammarco/ASPIRED",
"repo_path": "ASPIRED_extracted/ASPIRED-main/src/aspired/onedspec.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""For One Dimensional operations"""
import copy
import datetime
import logging
import os
from typing import Callable, Union
import numpy as np
import pkg_resources
from astropy.io import fits
from astropy.modeling.polynomial import Chebyshev1D
from plotly import graph_... | cylammarcoREPO_NAMEASPIREDPATH_START.@ASPIRED_extracted@ASPIRED-main@src@aspired@onedspec.py@.PATH_END.py |
{
"filename": "fa4lsscat.py",
"repo_name": "desihub/LSS",
"repo_path": "LSS_extracted/LSS-main/py/LSS/mkCat_singletile/fa4lsscat.py",
"type": "Python"
} | import os
import shutil
import unittest
from datetime import datetime
import json
import numpy as np
import fitsio
import desimodel
from fiberassign.targets import (TargetsAvailable)
from fiberassign.utils import option_list, GlobalTimers
from fiberassign.hardware import load_hardware
from fiberassign.tiles import loa... | desihubREPO_NAMELSSPATH_START.@LSS_extracted@LSS-main@py@LSS@mkCat_singletile@fa4lsscat.py@.PATH_END.py |
{
"filename": "_shadow.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/contour/colorbar/tickfont/_shadow.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShadowValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="shadow", parent_name="contour.colorbar.tickfont", **kwargs
):
super(ShadowValidator, self).__init__(
plotly_name=plotly_name,
parent... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@contour@colorbar@tickfont@_shadow.py@.PATH_END.py |
{
"filename": "application_sgp_star_stamps.py",
"repo_name": "Yash-10/beta-sgp",
"repo_path": "beta-sgp_extracted/beta-sgp-master/restoration/application_sgp_star_stamps.py",
"type": "Python"
} | import random
import numpy as np
import pandas as pd
import glob
from sgp import sgp, sgp_betaDiv, DEFAULT_COLUMNS
from utils import source_info, radial_profile, fit_radprof, wasserstein_distance_norm
from astropy.nddata import Cutout2D
from astropy.io import fits
# Aim is to select subdivisions not very close to th... | Yash-10REPO_NAMEbeta-sgpPATH_START.@beta-sgp_extracted@beta-sgp-master@restoration@application_sgp_star_stamps.py@.PATH_END.py |
{
"filename": "copy_injection_recovery.py",
"repo_name": "ThibeauWouters/TurboPE-BNS",
"repo_path": "TurboPE-BNS_extracted/TurboPE-BNS-main/injections/outdir_NRTv2/injection_99/copy_injection_recovery.py",
"type": "Python"
} | """
Idea: try different learning rate schemes to try and fix the injections
"""
import psutil
p = psutil.Process()
p.cpu_affinity([0])
import os
os.environ['CUDA_VISIBLE_DEVICES'] = "3"
os.environ["XLA_PYTHON_CLIENT_MEM_FRACTION"] = "0.10"
import numpy as np
import argparse
# Regular imports
import argparse
import cop... | ThibeauWoutersREPO_NAMETurboPE-BNSPATH_START.@TurboPE-BNS_extracted@TurboPE-BNS-main@injections@outdir_NRTv2@injection_99@copy_injection_recovery.py@.PATH_END.py |
{
"filename": "target_collect.py",
"repo_name": "Fermipy/fermipy",
"repo_path": "fermipy_extracted/fermipy-master/fermipy/jobs/target_collect.py",
"type": "Python"
} | #!/usr/bin/env python
# Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
Collect information for simulated realizations of an analysis
"""
from __future__ import absolute_import, division, print_function
import os
import sys
import yaml
import numpy as np
from astropy.table import Table, Column, vs... | FermipyREPO_NAMEfermipyPATH_START.@fermipy_extracted@fermipy-master@fermipy@jobs@target_collect.py@.PATH_END.py |
{
"filename": "cuda_qr_cusolver_geqrf.py",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/jax/_src/internal_test_util/export_back_compat_test_data/cuda_qr_cusolver_geqrf.py",
"type": "Python"
} | # Copyright 2023 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... | googleREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@_src@internal_test_util@export_back_compat_test_data@cuda_qr_cusolver_geqrf.py@.PATH_END.py |
{
"filename": "_style.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/scene/yaxis/title/font/_style.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StyleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="style", parent_name="layout.scene.yaxis.title.font", **kwargs
):
super(StyleValidator, self).__init__(
plotly_name=plotly_name,
p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@scene@yaxis@title@font@_style.py@.PATH_END.py |
{
"filename": "assemblyai.ipynb",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/docs/docs/integrations/document_loaders/assemblyai.ipynb",
"type": "Jupyter Notebook"
} | # AssemblyAI Audio Transcripts
The `AssemblyAIAudioTranscriptLoader` allows to transcribe audio files with the [AssemblyAI API](https://www.assemblyai.com) and loads the transcribed text into documents.
To use it, you should have the `assemblyai` python package installed, and the
environment variable `ASSEMBLYAI_API_... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@docs@docs@integrations@document_loaders@assemblyai.ipynb@.PATH_END.py |
{
"filename": "T05unit_test_C0_SP.py",
"repo_name": "nu-radio/NuRadioMC",
"repo_path": "NuRadioMC_extracted/NuRadioMC-master/NuRadioMC/test/SignalProp/T05unit_test_C0_SP.py",
"type": "Python"
} | import numpy as np
import time
from NuRadioMC.SignalProp import analyticraytracing as ray
from NuRadioMC.utilities import medium
from NuRadioReco.utilities import units
from NuRadioReco.utilities import io_utilities
import logging
import pickle
from numpy import testing
logging.basicConfig(level=logging.INFO)
logger = ... | nu-radioREPO_NAMENuRadioMCPATH_START.@NuRadioMC_extracted@NuRadioMC-master@NuRadioMC@test@SignalProp@T05unit_test_C0_SP.py@.PATH_END.py |
{
"filename": "_style.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/heatmap/textfont/_style.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StyleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="style", parent_name="heatmap.textfont", **kwargs):
super(StyleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@heatmap@textfont@_style.py@.PATH_END.py |
{
"filename": "Benchmark_5_Hidden_Markov_Model.ipynb",
"repo_name": "jmschrei/pomegranate",
"repo_path": "pomegranate_extracted/pomegranate-master/benchmarks/Benchmark_5_Hidden_Markov_Model.ipynb",
"type": "Jupyter Notebook"
} | ```python
%pylab inline
import seaborn; seaborn.set_style('whitegrid')
import time
import torch
from tqdm import tqdm
from torchegranate.distributions import *
from torchegranate.hmm import HiddenMarkovModel, Node
from pomegranate import State, NormalDistribution, IndependentComponentsDistribution, DiscreteDistribu... | jmschreiREPO_NAMEpomegranatePATH_START.@pomegranate_extracted@pomegranate-master@benchmarks@Benchmark_5_Hidden_Markov_Model.ipynb@.PATH_END.py |
{
"filename": "grpc_endpoint_test.py",
"repo_name": "triton-inference-server/server",
"repo_path": "server_extracted/server-main/qa/L0_backend_python/request_rescheduling/grpc_endpoint_test.py",
"type": "Python"
} | #!/usr/bin/env python
# Copyright 2023-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# ... | triton-inference-serverREPO_NAMEserverPATH_START.@server_extracted@server-main@qa@L0_backend_python@request_rescheduling@grpc_endpoint_test.py@.PATH_END.py |
{
"filename": "test_tau_generator.py",
"repo_name": "aewallin/allantools",
"repo_path": "allantools_extracted/allantools-master/tests/functional_tests/test_tau_generator.py",
"type": "Python"
} | #!/usr/bin/python
import allantools as at
import numpy as np
import pytest
N = 128
d = np.random.random(N)
r = 1.0
expected_all = np.arange(1, 43)
expected_octave = [1., 2., 4., 8., 16., 32.]
expected_decade = [1., 2., 4., 10., 20., 40.]
expected_reduced_10 = [1., 2., 3., 4., 5., 7., 8., 11., 14., 17.,
... | aewallinREPO_NAMEallantoolsPATH_START.@allantools_extracted@allantools-master@tests@functional_tests@test_tau_generator.py@.PATH_END.py |
{
"filename": "SolverDialog.py",
"repo_name": "marblestation/iSpec",
"repo_path": "iSpec_extracted/iSpec-master/ispec/gui/dialogs/SolverDialog.py",
"type": "Python"
} | #
# This file is part of iSpec.
# Copyright Sergi Blanco-Cuaresma - http://www.blancocuaresma.com/s/
#
# iSpec is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the Lice... | marblestationREPO_NAMEiSpecPATH_START.@iSpec_extracted@iSpec-master@ispec@gui@dialogs@SolverDialog.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "Keck-DataReductionPipelines/KPF-Pipeline",
"repo_path": "KPF-Pipeline_extracted/KPF-Pipeline-master/modules/barycentric_correction/__init__.py",
"type": "Python"
} | Keck-DataReductionPipelinesREPO_NAMEKPF-PipelinePATH_START.@KPF-Pipeline_extracted@KPF-Pipeline-master@modules@barycentric_correction@__init__.py@.PATH_END.py | |
{
"filename": "test_rgi.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/interpolate/tests/test_rgi.py",
"type": "Python"
} | import itertools
import pytest
import numpy as np
from numpy.testing import assert_warns
from scipy._lib._array_api import (
xp_assert_equal, xp_assert_close, assert_array_almost_equal
)
from scipy.conftest import skip_xp_invalid_arg
from pytest import raises as assert_raises
from scipy.interpolate import (Regu... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@interpolate@tests@test_rgi.py@.PATH_END.py |
{
"filename": "CHANGES.md",
"repo_name": "transientskp/tkp",
"repo_path": "tkp_extracted/tkp-master/CHANGES.md",
"type": "Markdown"
} | # Changelog
-----------
##5.0
### Update to job_params.cfg
A new section for all quality checks was created. Generic quality
control parameters in persistence and quality_lofar were moved to this
new section.
[#590]: https://github.com/transientskp/tkp/issues/590
### Quality checks
The rms values of all fits imag... | transientskpREPO_NAMEtkpPATH_START.@tkp_extracted@tkp-master@CHANGES.md@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "nuc-astro/winnet",
"repo_path": "winnet_extracted/winnet-master/bin/summary_script/src_files/__init__.py",
"type": "Python"
} | nuc-astroREPO_NAMEwinnetPATH_START.@winnet_extracted@winnet-master@bin@summary_script@src_files@__init__.py@.PATH_END.py | |
{
"filename": "_x.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/volume/lightposition/_x.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="x", parent_name="volume.lightposition", **kwargs):
super(XValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edi... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@volume@lightposition@_x.py@.PATH_END.py |
{
"filename": "LICENSE.md",
"repo_name": "nworbde/dStar",
"repo_path": "dStar_extracted/dStar-master/LICENSE.md",
"type": "Markdown"
} | The MIT License (MIT)
Copyright (c) 2014, 2015, 2016 Edward Brown
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify... | nworbdeREPO_NAMEdStarPATH_START.@dStar_extracted@dStar-master@LICENSE.md@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "lsst-uk/lasair-lsst",
"repo_path": "lasair-lsst_extracted/lasair-lsst-main/deploy/roles/lasair_database/README.md",
"type": "Markdown"
} | Role Name
=========
Role for initial setup of the Lasair database.
Role Variables
--------------
`mysql_root_password`: MysQL/MariaDB root password
`mysql_db_name`: Database name
`mysql_db_user`: Username for full read/write access
`mysql_db_password`: Password for above
`msql_db_user_readonly`: Username for read on... | lsst-ukREPO_NAMElasair-lsstPATH_START.@lasair-lsst_extracted@lasair-lsst-main@deploy@roles@lasair_database@README.md@.PATH_END.py |
{
"filename": "hist_mst.py",
"repo_name": "knaidoo29/mistree",
"repo_path": "mistree_extracted/mistree-master/mistree/mst/hist_mst.py",
"type": "Python"
} | import numpy as np
import matplotlib.pylab as plt
def bin_data(data, minimum=None, maximum=None, bin_size=None, bin_number=100, normalised=True):
"""Returns the (normalised) number count of a data set with values within defined bins.
Parameters
----------
data : array_like
The data to be binn... | knaidoo29REPO_NAMEmistreePATH_START.@mistree_extracted@mistree-master@mistree@mst@hist_mst.py@.PATH_END.py |
{
"filename": "_legend.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/table/_legend.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LegendValidator(_plotly_utils.basevalidators.SubplotidValidator):
def __init__(self, plotly_name="legend", parent_name="table", **kwargs):
super(LegendValidator, 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@table@_legend.py@.PATH_END.py |
{
"filename": "paper.md",
"repo_name": "richteague/disksurf",
"repo_path": "disksurf_extracted/disksurf-master/paper/paper.md",
"type": "Markdown"
} | ---
title: 'disksurf: Extracting the 3D Structure of Protoplanetary Disks'
tags:
- Python
- astronomy
- protoplanetary disks
authors:
- name: Richard Teague
orcid: 0000-0003-0872-7098
affiliation: 1
- name: Charles J. Law
orcid: 0000-0003-1413-1776
affiliation: 1
- name: Jane Huang
orcid... | richteagueREPO_NAMEdisksurfPATH_START.@disksurf_extracted@disksurf-master@paper@paper.md@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "heal-research/pyoperon",
"repo_path": "pyoperon_extracted/pyoperon-main/setup.py",
"type": "Python"
} | from skbuild import setup # This line replaces 'from setuptools import setup'
import platform
build_preset = ''
if platform.system() == 'Linux':
build_preset = 'build-linux'
elif platform.system() == 'Darwin':
build_preset = 'build-osx'
setup(
name="pyoperon",
version="0.4.0",
description="python... | heal-researchREPO_NAMEpyoperonPATH_START.@pyoperon_extracted@pyoperon-main@setup.py@.PATH_END.py |
{
"filename": "Functionality.ipynb",
"repo_name": "nickrodd/HDMSpectra",
"repo_path": "HDMSpectra_extracted/HDMSpectra-master/examples/Functionality.ipynb",
"type": "Jupyter Notebook"
} | # HDMSpectra Functionality
In this notebook we demonstrate the basic functionality of HDMSpectra, highlighting the different options available. Further examples can be found in the notebook "ReproducingPlots", where the plots in 2007.15001 are reproduced.
**NB:** `HDMSpectra` must to be installed before running these... | nickroddREPO_NAMEHDMSpectraPATH_START.@HDMSpectra_extracted@HDMSpectra-master@examples@Functionality.ipynb@.PATH_END.py |
{
"filename": "_title.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/bar/marker/colorbar/_title.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
def __init__(
self, plotly_name="title", parent_name="bar.marker.colorbar", **kwargs
):
super(TitleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=pare... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@bar@marker@colorbar@_title.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "mikekatz04/BOWIE",
"repo_path": "BOWIE_extracted/BOWIE-master/snr_calculator_folder/gwsnrcalc/__init__.py",
"type": "Python"
} | mikekatz04REPO_NAMEBOWIEPATH_START.@BOWIE_extracted@BOWIE-master@snr_calculator_folder@gwsnrcalc@__init__.py@.PATH_END.py | |
{
"filename": "lscloop.py",
"repo_name": "LCOGT/lcogtsnpipe",
"repo_path": "lcogtsnpipe_extracted/lcogtsnpipe-master/trunk/bin/lscloop.py",
"type": "Python"
} | #!/usr/bin/env python
description = "> process lsc data "
import re
import numpy as np
from argparse import ArgumentParser
from datetime import datetime, timedelta
import lsc
from multiprocessing import Pool, cpu_count
import os
import warnings
def multi_run_cosmic(args):
return lsc.myloopdef.run_cosmic(*args)
... | LCOGTREPO_NAMElcogtsnpipePATH_START.@lcogtsnpipe_extracted@lcogtsnpipe-master@trunk@bin@lscloop.py@.PATH_END.py |
{
"filename": "test_nirspec_exceptions.py",
"repo_name": "spacetelescope/jwst",
"repo_path": "jwst_extracted/jwst-main/jwst/regtest/test_nirspec_exceptions.py",
"type": "Python"
} | import logging
import pytest
import subprocess
from jwst.stpipe import Step
from jwst.assign_wcs.util import NoDataOnDetectorError
from jwst.pipeline import Spec2Pipeline
from jwst.tests.helpers import LogWatcher
@pytest.mark.bigdata
def test_nirspec_missing_msa_fail(rtdata, fitsdiff_default_kwargs, monkeypatch):
... | spacetelescopeREPO_NAMEjwstPATH_START.@jwst_extracted@jwst-main@jwst@regtest@test_nirspec_exceptions.py@.PATH_END.py |
{
"filename": "synth.py",
"repo_name": "ifauh/par-sir",
"repo_path": "par-sir_extracted/par-sir-main/synth.py",
"type": "Python"
} | import sir3d
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("-b","--batch", type=int, default=128, help="batchsize")
parser.add_argument("-i","--init", default='synth.ini', help="3DSIR configuration file")
parser.add_argument("-X","--x", type=int, default=0, help="x origin")
parser.add_argument... | ifauhREPO_NAMEpar-sirPATH_START.@par-sir_extracted@par-sir-main@synth.py@.PATH_END.py |
{
"filename": "_hoverlabel.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/histogram/_hoverlabel.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Hoverlabel(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "histogram"
_path_str = "histogram.hoverlabel"
_valid_props = {
"align",
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@histogram@_hoverlabel.py@.PATH_END.py |
{
"filename": "_hoverlabel.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/pointcloud/_hoverlabel.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="hoverlabel", parent_name="pointcloud", **kwargs):
super(HoverlabelValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_na... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@pointcloud@_hoverlabel.py@.PATH_END.py |
{
"filename": "dataloading.py",
"repo_name": "ML4GW/aframe",
"repo_path": "aframe_extracted/aframe-main/projects/online/online/utils/dataloading.py",
"type": "Python"
} | import logging
import re
import time
from pathlib import Path
from typing import List, Optional, Tuple, Union
import numpy as np
import torch
from gwpy.timeseries import TimeSeries
from scipy.signal import resample
PATH_LIKE = Union[str, Path]
GWF_SAMPLE_RATE = 16384
patterns = {
"prefix": "[a-zA-Z0-9_:-]+",
... | ML4GWREPO_NAMEaframePATH_START.@aframe_extracted@aframe-main@projects@online@online@utils@dataloading.py@.PATH_END.py |
{
"filename": "hmm.py",
"repo_name": "pyro-ppl/pyro",
"repo_path": "pyro_extracted/pyro-master/profiler/hmm.py",
"type": "Python"
} | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import argparse
import os
import pickle
import re
import subprocess
import sys
from collections import defaultdict
from os.path import abspath, join
from numpy import median
from pyro.util import timed
EXAMPLES_DIR = join(abspat... | pyro-pplREPO_NAMEpyroPATH_START.@pyro_extracted@pyro-master@profiler@hmm.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "sxs-collaboration/gwsurrogate",
"repo_path": "gwsurrogate_extracted/gwsurrogate-master/setup.py",
"type": "Python"
} | import os
from setuptools import setup, Extension
import numpy
# all extensions here
extmods = []
# build extension 1: python wrapper to gsl's spline function
if os.path.isdir("/opt/local/include"):
IncDirs = ["/opt/local/include"]
else:
IncDirs = []
if os.path.isdir("/opt/local/lib"):
LibDirs = ["/opt... | sxs-collaborationREPO_NAMEgwsurrogatePATH_START.@gwsurrogate_extracted@gwsurrogate-master@setup.py@.PATH_END.py |
{
"filename": "py_read_output.py",
"repo_name": "sirocco-rt/sirocco",
"repo_path": "sirocco_extracted/sirocco-main/py_progs/py_read_output.py",
"type": "Python"
} | #!/usr/bin/env python
'''
Reads outputs from simulation runs.
Synopsis:
This program enables one to read outputs from the Python radiative transfer code.
Where possible, we use the astropy.io module to read outputs.
There are also a number of routines for processing and reshaping various
data formats... | sirocco-rtREPO_NAMEsiroccoPATH_START.@sirocco_extracted@sirocco-main@py_progs@py_read_output.py@.PATH_END.py |
{
"filename": "common.py",
"repo_name": "h5py/h5py",
"repo_path": "h5py_extracted/h5py-master/h5py/tests/common.py",
"type": "Python"
} | # This file is part of h5py, a Python interface to the HDF5 library.
#
# http://www.h5py.org
#
# Copyright 2008-2013 Andrew Collette and contributors
#
# License: Standard 3-clause BSD; see "license.txt" for full license terms
# and contributor agreement.
import sys
import os
import shutil
import inspect
im... | h5pyREPO_NAMEh5pyPATH_START.@h5py_extracted@h5py-master@h5py@tests@common.py@.PATH_END.py |
{
"filename": "_weightsrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/cone/hoverlabel/font/_weightsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WeightsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="weightsrc", parent_name="cone.hoverlabel.font", **kwargs
):
super(WeightsrcValidator, self).__init__(
plotly_name=plotly_name,
paren... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@cone@hoverlabel@font@_weightsrc.py@.PATH_END.py |
{
"filename": "pfsetc.py",
"repo_name": "Subaru-PFS/spt_ExposureTimeCalculator",
"repo_path": "spt_ExposureTimeCalculator_extracted/spt_ExposureTimeCalculator-master/python/pfsspecsim/pfsetc.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
from __future__ import print_function, division
import sys
import os
from os import path
import numpy as np
import time
import subprocess
import multiprocessing
### Some parameters ###########################
### CAUTION: ##################################
### CHANGE BELOW ON YOUR OWN RESPONS... | Subaru-PFSREPO_NAMEspt_ExposureTimeCalculatorPATH_START.@spt_ExposureTimeCalculator_extracted@spt_ExposureTimeCalculator-master@python@pfsspecsim@pfsetc.py@.PATH_END.py |
{
"filename": "submit_decay.py",
"repo_name": "smsharma/dark-photons-perturbations",
"repo_path": "dark-photons-perturbations_extracted/dark-photons-perturbations-master/cluster/submit_decay.py",
"type": "Python"
} | import sys
sys.path.append("../")
import os
import random
import numpy as np
from grf.units import *
batch = '''#!/bin/bash
#SBATCH -N 1 # node count
#SBATCH --ntasks-per-node=1
#SBATCH -t 10:00:00
#SBATCH --mem=4GB
##SBATCH --mail-type=begin
##SBATCH --mail-type=end
##SBATCH --mail-user=sm8383@nyu.edu
cd /home/s... | smsharmaREPO_NAMEdark-photons-perturbationsPATH_START.@dark-photons-perturbations_extracted@dark-photons-perturbations-master@cluster@submit_decay.py@.PATH_END.py |
{
"filename": "jaxstatus.py",
"repo_name": "HajimeKawahara/exojax",
"repo_path": "exojax_extracted/exojax-master/src/exojax/utils/jaxstatus.py",
"type": "Python"
} | from jax import config
import warnings
def check_jax64bit(allow_32bit):
"""check if the JAX precision mode is 64bit mode
Args:
allow_32bit (_type_): exception to use 32bit mode. if True, just send warning message
Raises:
ValueError: _description_
"""
ho... | HajimeKawaharaREPO_NAMEexojaxPATH_START.@exojax_extracted@exojax-master@src@exojax@utils@jaxstatus.py@.PATH_END.py |
{
"filename": "nonlinear.py",
"repo_name": "SBU-COSMOLIKE/CAMB-Monodromic",
"repo_path": "CAMB-Monodromic_extracted/CAMB-Monodromic-main/camb/nonlinear.py",
"type": "Python"
} | from .baseconfig import F2003Class, fortran_class
from ctypes import c_int, c_double
class NonLinearModel(F2003Class):
"""
Abstract base class for non-linear correction models
"""
_fields_ = [("Min_kh_nonlinear", c_double, "minimum k/h at which to apply non-linear corrections")]
halofit_original = '... | SBU-COSMOLIKEREPO_NAMECAMB-MonodromicPATH_START.@CAMB-Monodromic_extracted@CAMB-Monodromic-main@camb@nonlinear.py@.PATH_END.py |
{
"filename": "GLViewWidget.py",
"repo_name": "3fon3fonov/exostriker",
"repo_path": "exostriker_extracted/exostriker-main/exostriker/lib/pyqtgraph/examples/GLViewWidget.py",
"type": "Python"
} | """
Very basic 3D graphics example; create a view widget and add a few items.
"""
import pyqtgraph as pg
import pyqtgraph.opengl as gl
pg.mkQApp("GLViewWidget Example")
w = gl.GLViewWidget()
w.show()
w.setWindowTitle('pyqtgraph example: GLViewWidget')
w.setCameraPosition(distance=20)
ax = gl.GLAxisItem()
ax.setSize... | 3fon3fonovREPO_NAMEexostrikerPATH_START.@exostriker_extracted@exostriker-main@exostriker@lib@pyqtgraph@examples@GLViewWidget.py@.PATH_END.py |
{
"filename": "sp_plots.py",
"repo_name": "StephanStock/SPOG",
"repo_path": "SPOG_extracted/SPOG-main/SPOG/sp_plots.py",
"type": "Python"
} | import corner
import pandas as pd
import numpy as np
import astropy.stats
import SPOG.sp_calc as sp_calc
import matplotlib.pyplot as plt
import matplotlib
matplotlib.use('PDF')
try:
from scipy.ndimage import gaussian_filter
except ImportError:
gaussian_filter = None
Rsun = 6.957e10
__author__ = "Stephan Stock @... | StephanStockREPO_NAMESPOGPATH_START.@SPOG_extracted@SPOG-main@SPOG@sp_plots.py@.PATH_END.py |
{
"filename": "itrs.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/coordinates/builtin_frames/itrs.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from astropy.coordinates.attributes import EarthLocationAttribute, TimeAttribute
from astropy.coordinates.baseframe import BaseCoordinateFrame, base_doc
from astropy.coordinates.representation import (
CartesianDifferential,
CartesianRepresentatio... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@coordinates@builtin_frames@itrs.py@.PATH_END.py |
{
"filename": "resources.py",
"repo_name": "SJ001/AI-Feynman",
"repo_path": "AI-Feynman_extracted/AI-Feynman-master/aifeynman/resources.py",
"type": "Python"
} | import os
from . import __file__
def _get_resource(fname):
base = os.path.dirname(os.path.realpath(__file__))
return os.path.join(base, fname)
| SJ001REPO_NAMEAI-FeynmanPATH_START.@AI-Feynman_extracted@AI-Feynman-master@aifeynman@resources.py@.PATH_END.py |
{
"filename": "analysis.total.md",
"repo_name": "dmentipl/plonk",
"repo_path": "plonk_extracted/plonk-main/docs/source/api/analysis.total.md",
"type": "Markdown"
} | # Global quantities
```{eval-rst}
.. automodule:: plonk.analysis.total
:members:
```
| dmentiplREPO_NAMEplonkPATH_START.@plonk_extracted@plonk-main@docs@source@api@analysis.total.md@.PATH_END.py |
{
"filename": "test_helper.py",
"repo_name": "spacetelescope/jdaviz",
"repo_path": "jdaviz_extracted/jdaviz-main/jdaviz/configs/mosviz/tests/test_helper.py",
"type": "Python"
} | # Tests all non-data-loading functionality of the Mosviz Helper class
# For data-loading tests, see test_data_loading.py
import csv
import pytest
from numpy.testing import assert_allclose
from jdaviz.configs.specviz2d.helper import Specviz2d
def test_to_csv(tmp_path, mosviz_helper, spectrum_collection):
labels... | spacetelescopeREPO_NAMEjdavizPATH_START.@jdaviz_extracted@jdaviz-main@jdaviz@configs@mosviz@tests@test_helper.py@.PATH_END.py |
{
"filename": "_color.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/candlestick/decreasing/line/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="candlestick.decreasing.line", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@candlestick@decreasing@line@_color.py@.PATH_END.py |
{
"filename": "fix_old_calidation_star_catalogue.py",
"repo_name": "CosmoStat/mccd",
"repo_path": "mccd_extracted/mccd-master/example/fix_old_calidation_star_catalogue.py",
"type": "Python"
} | #!/usr/bin/env python
# coding: utf-8
import numpy as np
from astropy.io import fits
import matplotlib.pyplot as plt
import mccd
# Class definition
class Glob2CCD(object):
r""" Get the CCD ID number from the global coordinate position.
The Loc2Glob() object as input is the one that defines the instrument's
... | CosmoStatREPO_NAMEmccdPATH_START.@mccd_extracted@mccd-master@example@fix_old_calidation_star_catalogue.py@.PATH_END.py |
{
"filename": "_transpose.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/contour/_transpose.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TransposeValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="transpose", parent_name="contour", **kwargs):
super(TransposeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@contour@_transpose.py@.PATH_END.py |
{
"filename": "pie_and_donut_labels.py",
"repo_name": "matplotlib/matplotlib",
"repo_path": "matplotlib_extracted/matplotlib-main/galleries/examples/pie_and_polar_charts/pie_and_donut_labels.py",
"type": "Python"
} | """
=============================
A pie and a donut with labels
=============================
Welcome to the Matplotlib bakery. We will create a pie and a donut
chart through the `pie method <matplotlib.axes.Axes.pie>` and
show how to label them with a `legend <matplotlib.axes.Axes.legend>`
as well as with `annotation... | matplotlibREPO_NAMEmatplotlibPATH_START.@matplotlib_extracted@matplotlib-main@galleries@examples@pie_and_polar_charts@pie_and_donut_labels.py@.PATH_END.py |
{
"filename": "three_c_test.py",
"repo_name": "HERA-Team/aipy",
"repo_path": "aipy_extracted/aipy-main/tests/catalog_tests/three_c_test.py",
"type": "Python"
} | from __future__ import print_function, division, absolute_import
import unittest, aipy._src.three_c as h, aipy as a, numpy as n
class TestThreeCCatalog(unittest.TestCase):
def setUp(self):
self.cat = h.ThreeCCatalog()
self.cat.fromfile(h.THREECFILE)
def test_spotcheck(self):
for srcnam... | HERA-TeamREPO_NAMEaipyPATH_START.@aipy_extracted@aipy-main@tests@catalog_tests@three_c_test.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "keatonb/TESS_PRF",
"repo_path": "TESS_PRF_extracted/TESS_PRF-main/README.md",
"type": "Markdown"
} | # TESS_PRF
Tools to display the TESS pixel response function (PRF) at any location on the detector.
By default, will access the relevant [PRF files on MAST](https://heasarc.gsfc.nasa.gov/docs/tess/observing-technical.html#point-spread-function) (internet required), but you can also download these files and reference t... | keatonbREPO_NAMETESS_PRFPATH_START.@TESS_PRF_extracted@TESS_PRF-main@README.md@.PATH_END.py |
{
"filename": "test_polyint.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/interpolate/tests/test_polyint.py",
"type": "Python"
} | import warnings
import io
import numpy as np
from scipy._lib._array_api import (
xp_assert_equal, xp_assert_close, assert_array_almost_equal, assert_almost_equal
)
from pytest import raises as assert_raises
import pytest
from scipy.interpolate import (
KroghInterpolator, krogh_interpolate,
BarycentricInte... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@interpolate@tests@test_polyint.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/wcs/tests/__init__.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
| astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@wcs@tests@__init__.py@.PATH_END.py |
{
"filename": "_scatterpolar.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/layout/template/data/_scatterpolar.py",
"type": "Python"
} | from plotly.graph_objs import Scatterpolar
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@layout@template@data@_scatterpolar.py@.PATH_END.py |
{
"filename": "geometry_conf.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/geminidr/gsaoi/lookups/geometry_conf.py",
"type": "Python"
} | # GSAOI geometry_conf.py module containing information
# for Transform-based tileArrays/mosaicDetectors
# for tileArrays(): key=detector_name(), value=(xgap, ygap) (unbinned pixels)
tile_gaps = {
'GSAOI': (145, 140)
}
# for mosaicDetectors(): key=detector_name(), value=dict
# In this dict, each physical detector ... | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@geminidr@gsaoi@lookups@geometry_conf.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py3/scipy/special/amos/README.md",
"type": "Markdown"
} | # AMOS
A Portable Package for Bessel Functions of a Complex Argument
and Nonnegative Order
This algorithm is a package of subroutines for computing Bessel
functions and Airy functions. The routines are updated
versions of those routines found in TOMS algorithm 644.
## Disclaimer
```
* * * * * * * * * * * * * * * *... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py3@scipy@special@amos@README.md@.PATH_END.py |
{
"filename": "attrs_test.py",
"repo_name": "jax-ml/jax",
"repo_path": "jax_extracted/jax-main/tests/attrs_test.py",
"type": "Python"
} | # Copyright 2024 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@tests@attrs_test.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "sdss/target_selection",
"repo_path": "target_selection_extracted/target_selection-main/python/target_selection/sdss_id/__init__.py",
"type": "Python"
} | from .append_to_sdss_id import (
AppendToTables,
SdssIdFlat,
SdssIdFlatAddendum,
SdssIdStacked,
SdssIdStackedAddendum,
TempCatalogidV21,
TempCatalogidV25,
TempCatalogidV31,
)
from .create_catalogidx_to_catalogidy import (
MetaXMatch,
TempMatch,
UniqueMatch,
create_unique_... | sdssREPO_NAMEtarget_selectionPATH_START.@target_selection_extracted@target_selection-main@python@target_selection@sdss_id@__init__.py@.PATH_END.py |
{
"filename": "simbad.py",
"repo_name": "juliotux/astropop",
"repo_path": "astropop_extracted/astropop-main/astropop/catalogs/simbad.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""Query and match objects in Simbad database."""
import numpy as np
import warnings
from astropy.coordinates import SkyCoord
from astropy.table import Table
from astroquery.simbad import Simbad
from astropy import units as u
from ._sources_catalog impor... | juliotuxREPO_NAMEastropopPATH_START.@astropop_extracted@astropop-main@astropop@catalogs@simbad.py@.PATH_END.py |
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