metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "postprocess.py",
"repo_name": "bd-j/forcepho",
"repo_path": "forcepho_extracted/forcepho-main/forcepho/postprocess.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os, glob
import numpy as np
try:
import matplotlib.pyplot as pl
from matplotlib.backends.backend_pdf import PdfPages
except:
pass
import json
from astropy.io import fits
import h5py
from .fitting import Result
from .utils import sky_to_pix, populate_im... | bd-jREPO_NAMEforcephoPATH_START.@forcepho_extracted@forcepho-main@forcepho@postprocess.py@.PATH_END.py |
{
"filename": "less_equal.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/lite/testing/op_tests/less_equal.py",
"type": "Python"
} | # Copyright 2019 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@lite@testing@op_tests@less_equal.py@.PATH_END.py |
{
"filename": "txtio.py",
"repo_name": "jkrogager/PyNOT",
"repo_path": "PyNOT_extracted/PyNOT-master/pynot/txtio.py",
"type": "Python"
} | import numpy as np
from os.path import splitext
from astropy.table import Table
class DataColumnMissing(Exception):
pass
def save_ascii_spectrum(fname, wl, flux, err, hdr=None, bg=None, mask=None):
"""Write spectrum to an ascii text file with header saved to separate text file."""
fmt = "%12.4f % .3e ... | jkrogagerREPO_NAMEPyNOTPATH_START.@PyNOT_extracted@PyNOT-master@pynot@txtio.py@.PATH_END.py |
{
"filename": "ClassModelMachineWSCMS.py",
"repo_name": "saopicc/DDFacet",
"repo_path": "DDFacet_extracted/DDFacet-master/DDFacet/Imager/WSCMS/ClassModelMachineWSCMS.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@Imager@WSCMS@ClassModelMachineWSCMS.py@.PATH_END.py |
{
"filename": "_yhoverformat.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattergl/_yhoverformat.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class YhoverformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="yhoverformat", parent_name="scattergl", **kwargs):
super(YhoverformatValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattergl@_yhoverformat.py@.PATH_END.py |
{
"filename": "fitting_opt_model.py",
"repo_name": "latrop/DECA",
"repo_path": "DECA_extracted/DECA-master/ini_modules/fitting_opt_model.py",
"type": "Python"
} | #!/usr/bin/python
# -*- coding: cp1251 -*-
#*** Common modules ***
import sys
import math
import numpy as np
from scipy import stats
import scipy as sp
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
import matplotlib.patches as patches
import matplotlib.path as path
from matplotlib.ticker import NullF... | latropREPO_NAMEDECAPATH_START.@DECA_extracted@DECA-master@ini_modules@fitting_opt_model.py@.PATH_END.py |
{
"filename": "test_beta_model.py",
"repo_name": "jzuhone/pyxsim",
"repo_path": "pyxsim_extracted/pyxsim-main/pyxsim/tests/test_beta_model.py",
"type": "Python"
} | """
A unit test for the pyxsim analysis module.
"""
import os
import shutil
import tempfile
import numpy as np
from numpy.testing import assert_allclose
from soxs import ApecGenerator
from yt.utilities.cosmology import Cosmology
from yt.utilities.physical_constants import clight
from pyxsim import CIESourceModel, ma... | jzuhoneREPO_NAMEpyxsimPATH_START.@pyxsim_extracted@pyxsim-main@pyxsim@tests@test_beta_model.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "vaexio/vaex",
"repo_path": "vaex_extracted/vaex-master/packages/vaex-ml/vaex/ml/incubator/__init__.py",
"type": "Python"
} | vaexioREPO_NAMEvaexPATH_START.@vaex_extracted@vaex-master@packages@vaex-ml@vaex@ml@incubator@__init__.py@.PATH_END.py | |
{
"filename": "InterpSols.py",
"repo_name": "saopicc/killMS",
"repo_path": "killMS_extracted/killMS-master/killMS/InterpSols.py",
"type": "Python"
} | #!/usr/bin/env python
"""
killMS, a package for calibration in radio interferometry.
Copyright (C) 2013-2017 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 ... | saopiccREPO_NAMEkillMSPATH_START.@killMS_extracted@killMS-master@killMS@InterpSols.py@.PATH_END.py |
{
"filename": "potentialutils.py",
"repo_name": "mackelab/sbi",
"repo_path": "sbi_extracted/sbi-main/sbi/utils/potentialutils.py",
"type": "Python"
} | # This file is part of sbi, a toolkit for simulation-based inference. sbi is licensed
# under the Apache License Version 2.0, see <https://www.apache.org/licenses/>
from typing import Callable, Dict, Union
import numpy as np
import torch
import torch.distributions.transforms as torch_tf
from torch import Tensor
from... | mackelabREPO_NAMEsbiPATH_START.@sbi_extracted@sbi-main@sbi@utils@potentialutils.py@.PATH_END.py |
{
"filename": "training-from-baseline.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/features/training-from-baseline.md",
"type": "Markdown"
} | # Continue learning from baseline
{{ product }} supports training with a baseline model. Training parameters of the baseline model and the one being trained may vary. The final model is the sum of these two models.
## FML
### [Train Formula on FML](../yandex_specific/nirvana-operations/catboost__nirvana__train-formu... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@features@training-from-baseline.md@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "COINtoolbox/DRACULA",
"repo_path": "DRACULA_extracted/DRACULA-master/CODE/Drac/som_module/__init__.py",
"type": "Python"
} | COINtoolboxREPO_NAMEDRACULAPATH_START.@DRACULA_extracted@DRACULA-master@CODE@Drac@som_module@__init__.py@.PATH_END.py | |
{
"filename": "_tickformatstop.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/bar/marker/colorbar/_tickformatstop.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Tickformatstop(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "bar.marker.colorbar"
_path_str = "bar.marker.colorbar.tickformatstop"
_valid_props =... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@bar@marker@colorbar@_tickformatstop.py@.PATH_END.py |
{
"filename": "test_plot_options.py",
"repo_name": "spacetelescope/jdaviz",
"repo_path": "jdaviz_extracted/jdaviz-main/jdaviz/configs/default/plugins/plot_options/tests/test_plot_options.py",
"type": "Python"
} | import numpy as np
import pytest
from astropy import units as u
from astropy.nddata import NDData
import matplotlib
from numpy.testing import assert_allclose
from photutils.datasets import make_4gaussians_image
from jdaviz.configs.default.plugins.plot_options.plot_options import SplineStretch
@pytest.mark.filterwarn... | spacetelescopeREPO_NAMEjdavizPATH_START.@jdaviz_extracted@jdaviz-main@jdaviz@configs@default@plugins@plot_options@tests@test_plot_options.py@.PATH_END.py |
{
"filename": "test_pickle.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/indexes/timedeltas/test_pickle.py",
"type": "Python"
} | from pandas import timedelta_range
import pandas._testing as tm
class TestPickle:
def test_pickle_after_set_freq(self):
tdi = timedelta_range("1 day", periods=4, freq="s")
tdi = tdi._with_freq(None)
res = tm.round_trip_pickle(tdi)
tm.assert_index_equal(res, tdi)
| pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@indexes@timedeltas@test_pickle.py@.PATH_END.py |
{
"filename": "response_metadata.ipynb",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/docs/docs/how_to/response_metadata.ipynb",
"type": "Jupyter Notebook"
} | # Response metadata
Many model providers include some metadata in their chat generation [responses](/docs/concepts/messages/#aimessage). This metadata can be accessed via the `AIMessage.response_metadata: Dict` attribute. Depending on the model provider and model configuration, this can contain information like [token... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@docs@docs@how_to@response_metadata.ipynb@.PATH_END.py |
{
"filename": "docscrape_sphinx.py",
"repo_name": "jakevdp/supersmoother",
"repo_path": "supersmoother_extracted/supersmoother-master/doc/sphinxext/numpy_ext/docscrape_sphinx.py",
"type": "Python"
} | from __future__ import division, absolute_import, print_function
import sys, re, inspect, textwrap, pydoc
import sphinx
import collections
from .docscrape import NumpyDocString, FunctionDoc, ClassDoc
if sys.version_info[0] >= 3:
sixu = lambda s: s
else:
sixu = lambda s: unicode(s, 'unicode_escape')
class Sp... | jakevdpREPO_NAMEsupersmootherPATH_START.@supersmoother_extracted@supersmoother-master@doc@sphinxext@numpy_ext@docscrape_sphinx.py@.PATH_END.py |
{
"filename": "gp_framework_quasiperiodic_activity.py",
"repo_name": "LucaMalavolta/PyORBIT",
"repo_path": "PyORBIT_extracted/PyORBIT-main/pyorbit/models/gp_framework_quasiperiodic_activity.py",
"type": "Python"
} | from pyorbit.subroutines.common import *
from pyorbit.models.abstract_model import *
from pyorbit.keywords_definitions import *
from scipy.linalg import cho_factor, cho_solve, lapack, LinAlgError
from scipy import matrix, spatial
class GP_Framework_QuasiPeriodicActivity(AbstractModel):
''' Three parameters out o... | LucaMalavoltaREPO_NAMEPyORBITPATH_START.@PyORBIT_extracted@PyORBIT-main@pyorbit@models@gp_framework_quasiperiodic_activity.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/pyzmq/py2/zmq/eventloop/minitornado/platform/__init__.py",
"type": "Python"
} | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@pyzmq@py2@zmq@eventloop@minitornado@platform@__init__.py@.PATH_END.py | |
{
"filename": "correct_disconnected.py",
"repo_name": "oliverphilcox/RascalC",
"repo_path": "RascalC_extracted/RascalC-master/python/correct_disconnected.py",
"type": "Python"
} | ## Script to correct jackknife disconnected term from runs of older versions of RascalC
## Determines single-field vs multi-field and jackknife automatically, but by default does no changes for 2nd field
import numpy as np
import sys,os
# PARAMETERS
if len(sys.argv) not in (8, 10):
print("Usage: python correct_di... | oliverphilcoxREPO_NAMERascalCPATH_START.@RascalC_extracted@RascalC-master@python@correct_disconnected.py@.PATH_END.py |
{
"filename": "AXIS.py",
"repo_name": "chandra-marx/marxs",
"repo_path": "marxs_extracted/marxs-main/marxs/missions/AXIS/AXIS.py",
"type": "Python"
} | import copy
import astropy.units as u
import numpy as np
from astropy.table import Table
from astropy.utils.data import get_pkg_data_filename
from marxs import analysis, design, optics, simulator
from marxs.base import MarxsElement, TagVersion
from marxs.design import tolerancing as tol
from marxs.design.bendgratings... | chandra-marxREPO_NAMEmarxsPATH_START.@marxs_extracted@marxs-main@marxs@missions@AXIS@AXIS.py@.PATH_END.py |
{
"filename": "font_manager.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/matplotlib/py2/matplotlib/font_manager.py",
"type": "Python"
} | """
A module for finding, managing, and using fonts across platforms.
This module provides a single :class:`FontManager` instance that can
be shared across backends and platforms. The :func:`findfont`
function returns the best TrueType (TTF) font file in the local or
system font path that matches the specified :class... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@matplotlib@py2@matplotlib@font_manager.py@.PATH_END.py |
{
"filename": "model-evaluation-insights.md",
"repo_name": "ultralytics/ultralytics",
"repo_path": "ultralytics_extracted/ultralytics-main/docs/en/guides/model-evaluation-insights.md",
"type": "Markdown"
} | ---
comments: true
description: Explore the most effective ways to assess and refine YOLO11 models for better performance. Learn about evaluation metrics, fine-tuning processes, and how to customize your model for specific needs.
keywords: Model Evaluation, Machine Learning Model Evaluation, Fine Tuning Machine Learnin... | ultralyticsREPO_NAMEultralyticsPATH_START.@ultralytics_extracted@ultralytics-main@docs@en@guides@model-evaluation-insights.md@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "simonsobs/nextline-rdb",
"repo_path": "nextline-rdb_extracted/nextline-rdb-main/tests/db/__init__.py",
"type": "Python"
} | simonsobsREPO_NAMEnextline-rdbPATH_START.@nextline-rdb_extracted@nextline-rdb-main@tests@db@__init__.py@.PATH_END.py | |
{
"filename": "_textfont.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/icicle/pathbar/_textfont.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="textfont", parent_name="icicle.pathbar", **kwargs):
super(TextfontValidator, 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@icicle@pathbar@_textfont.py@.PATH_END.py |
{
"filename": "test_image_array.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/data_objects/tests/test_image_array.py",
"type": "Python"
} | import os
import shutil
import tempfile
import unittest
import numpy as np
from numpy.testing import assert_equal
from yt.data_objects.image_array import ImageArray
from yt.testing import requires_module
old_settings = None
def setup():
global old_settings
from yt.config import ytcfg
ytcfg["yt", "inte... | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@data_objects@tests@test_image_array.py@.PATH_END.py |
{
"filename": "_color.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/scene/zaxis/title/font/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="layout.scene.zaxis.title.font", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@scene@zaxis@title@font@_color.py@.PATH_END.py |
{
"filename": "_autobiny.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/histogram2dcontour/_autobiny.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class AutobinyValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="autobiny", parent_name="histogram2dcontour", **kwargs
):
super(AutobinyValidator, self).__init__(
plotly_name=plotly_name,
parent... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@histogram2dcontour@_autobiny.py@.PATH_END.py |
{
"filename": "SkyGeom.py",
"repo_name": "bill-cotton/Obit",
"repo_path": "Obit_extracted/Obit-master/ObitSystem/Obit/python/SkyGeom.py",
"type": "Python"
} | """ Python Obit Sky Geometry Utility
This module contains utilities for Sky Geometry calculations
Also primary beam calculations
"""
# $Id$
#-----------------------------------------------------------------------
# Copyright (C) 2007-2021
# Associated Universities, Inc. Washington DC, USA.
#
# This program is free ... | bill-cottonREPO_NAMEObitPATH_START.@Obit_extracted@Obit-master@ObitSystem@Obit@python@SkyGeom.py@.PATH_END.py |
{
"filename": "_legendwidth.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/contour/_legendwidth.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LegendwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="legendwidth", parent_name="contour", **kwargs):
super(LegendwidthValidator, 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@contour@_legendwidth.py@.PATH_END.py |
{
"filename": "mask.py",
"repo_name": "igmhub/picca",
"repo_path": "picca_extracted/picca-master/py/picca/delta_extraction/mask.py",
"type": "Python"
} | """This module defines the abstract class Mask from which all
Masks must inherit
"""
from picca.delta_extraction.errors import MaskError
def _remove_pixels(forest, param, w):
if param in ['resolution_matrix']:
setattr(forest, param, getattr(forest, param)[:, w])
else:
setattr(forest, param, get... | igmhubREPO_NAMEpiccaPATH_START.@picca_extracted@picca-master@py@picca@delta_extraction@mask.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/isosurface/slices/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._x import X
from ._y import Y
from ._z import Z
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._x.X", "._y.Y", "._z.... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@isosurface@slices@__init__.py@.PATH_END.py |
{
"filename": "main.py",
"repo_name": "cdslaborg/paramonte",
"repo_path": "paramonte_extracted/paramonte-main/example/fortran/pm_distGeom/setGeomLogPMF/main.py",
"type": "Python"
} | #!/usr/bin/env python
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import glob
import sys
fontsize = 17
kind = "IK"
label = [ r"probSuccess = .1"
, r"probSuccess = .2"
, r"probSuccess = .5"
, r"probSuccess = .8"
]
pattern = "*." + kind + ".txt"
fileList = gl... | cdslaborgREPO_NAMEparamontePATH_START.@paramonte_extracted@paramonte-main@example@fortran@pm_distGeom@setGeomLogPMF@main.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "gterreran/Swift_host_subtraction",
"repo_path": "Swift_host_subtraction_extracted/Swift_host_subtraction-main/setup.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (C) Giacomo Terreran (2022)
#
# This file is part of the Swift_host_subtraction python package.
#
# Swift_host_subtraction 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 S... | gterreranREPO_NAMESwift_host_subtractionPATH_START.@Swift_host_subtraction_extracted@Swift_host_subtraction-main@setup.py@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/densitymap/hoverlabel/_font.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="font", parent_name="densitymap.hoverlabel", **kwargs
):
super(FontValidator, self).__init__(
plotly_name=plotly_name,
parent_name=pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@densitymap@hoverlabel@_font.py@.PATH_END.py |
{
"filename": "fillexel.py",
"repo_name": "svalenti/pessto",
"repo_path": "pessto_extracted/pessto-master/trunk/passtobin/fillexel.py",
"type": "Python"
} | #!/usr/bin/env python
import os
import sys
import string
import re
import glob
import ntt
from pyfits import open as popen
from ntt.util import readkey3, readhdr, readspectrum, delete
import datetime
import time
from optparse import OptionParser
description = "> filling exelfile "
usage = "%prog \t listframes [option... | svalentiREPO_NAMEpesstoPATH_START.@pessto_extracted@pessto-master@trunk@passtobin@fillexel.py@.PATH_END.py |
{
"filename": "donor_props.py",
"repo_name": "orlox/mesa_input_data",
"repo_path": "mesa_input_data_extracted/mesa_input_data-master/2016_ULX/scripts/orbit/donor_props.py",
"type": "Python"
} | #!/usr/bin/env python
import numpy as np
from pylab import *
import matplotlib.pyplot as plt
from matplotlib import rc
rc('text', usetex=True)
import matplotlib.patches as patches
from scipy.interpolate import griddata
import math
import scipy
from matplotlib import ticker
import sys
import os
import mmap
import iterto... | orloxREPO_NAMEmesa_input_dataPATH_START.@mesa_input_data_extracted@mesa_input_data-master@2016_ULX@scripts@orbit@donor_props.py@.PATH_END.py |
{
"filename": "_bayesian_mixture.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/sklearn/mixture/_bayesian_mixture.py",
"type": "Python"
} | """Bayesian Gaussian Mixture Model."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import math
from numbers import Real
import numpy as np
from scipy.special import betaln, digamma, gammaln
from ..utils import check_array
from ..utils._param_validation import Interval, StrOptions
... | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@sklearn@mixture@_bayesian_mixture.py@.PATH_END.py |
{
"filename": "_zmin.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/histogram2dcontour/_zmin.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ZminValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="zmin", parent_name="histogram2dcontour", **kwargs):
super(ZminValidator, 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@histogram2dcontour@_zmin.py@.PATH_END.py |
{
"filename": "_thickness.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/histogram/error_x/_thickness.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="thickness", parent_name="histogram.error_x", **kwargs
):
super(ThicknessValidator, self).__init__(
plotly_name=plotly_name,
paren... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@histogram@error_x@_thickness.py@.PATH_END.py |
{
"filename": "distribute_coordinator.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/distribute/distribute_coordinator.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@distribute@distribute_coordinator.py@.PATH_END.py |
{
"filename": "_variant.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/pie/title/font/_variant.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VariantValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="variant", parent_name="pie.title.font", **kwargs):
super(VariantValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@pie@title@font@_variant.py@.PATH_END.py |
{
"filename": "file_system.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/document_loaders/blob_loaders/file_system.py",
"type": "Python"
} | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.document_loaders import FileSystemBlobLoader
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional i... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@document_loaders@blob_loaders@file_system.py@.PATH_END.py |
{
"filename": "fields.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/frontends/enzo_e/fields.py",
"type": "Python"
} | import numpy as np
from yt._typing import KnownFieldsT
from yt.fields.field_info_container import FieldInfoContainer
from yt.fields.particle_fields import add_union_field
from yt.frontends.enzo_e.misc import (
get_listed_subparam,
get_particle_mass_correction,
nested_dict_get,
)
rho_units = "code_mass / c... | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@frontends@enzo_e@fields.py@.PATH_END.py |
{
"filename": "mixed_lm_example.ipynb",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/examples/notebooks/mixed_lm_example.ipynb",
"type": "Jupyter Notebook"
} | # Linear Mixed Effects Models
```python
%matplotlib inline
import numpy as np
import pandas as pd
import statsmodels.api as sm
import statsmodels.formula.api as smf
from statsmodels.tools.sm_exceptions import ConvergenceWarning
```
**Note**: The R code and the results in this notebook has been converted to markdown... | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@examples@notebooks@mixed_lm_example.ipynb@.PATH_END.py |
{
"filename": "autograph_ops_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/ops/autograph_ops_test.py",
"type": "Python"
} | # Copyright 2023 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@ops@autograph_ops_test.py@.PATH_END.py |
{
"filename": "plot_phase_unwrap.py",
"repo_name": "scikit-image/scikit-image",
"repo_path": "scikit-image_extracted/scikit-image-main/doc/examples/filters/plot_phase_unwrap.py",
"type": "Python"
} | """
================
Phase Unwrapping
================
Some signals can only be observed modulo 2*pi, and this can also apply to
two- and three dimensional images. In these cases phase unwrapping is
needed to recover the underlying, unwrapped signal. In this example we will
demonstrate an algorithm [1]_ implemented in... | scikit-imageREPO_NAMEscikit-imagePATH_START.@scikit-image_extracted@scikit-image-main@doc@examples@filters@plot_phase_unwrap.py@.PATH_END.py |
{
"filename": "base.py",
"repo_name": "pymc-devs/pymc",
"repo_path": "pymc_extracted/pymc-main/pymc/backends/base.py",
"type": "Python"
} | # Copyright 2024 The PyMC Developers
#
# 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 ag... | pymc-devsREPO_NAMEpymcPATH_START.@pymc_extracted@pymc-main@pymc@backends@base.py@.PATH_END.py |
{
"filename": "_legendgrouptitle.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/funnelarea/_legendgrouptitle.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LegendgrouptitleValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="legendgrouptitle", parent_name="funnelarea", **kwargs
):
super(LegendgrouptitleValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@funnelarea@_legendgrouptitle.py@.PATH_END.py |
{
"filename": "plot_colormap.py",
"repo_name": "fmihpc/analysator",
"repo_path": "analysator_extracted/analysator-master/pyPlots/plot_colormap.py",
"type": "Python"
} | #
# This file is part of Analysator.
# Copyright 2013-2016 Finnish Meteorological Institute
# Copyright 2017-2018 University of Helsinki
#
# For details of usage, see the COPYING file and read the "Rules of the Road"
# at http://www.physics.helsinki.fi/vlasiator/
#
# This program is free software; you can redistribu... | fmihpcREPO_NAMEanalysatorPATH_START.@analysator_extracted@analysator-master@pyPlots@plot_colormap.py@.PATH_END.py |
{
"filename": "interpolative.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py2/scipy/linalg/interpolative.py",
"type": "Python"
} | #******************************************************************************
# Copyright (C) 2013 Kenneth L. Ho
#
# 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 t... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py2@scipy@linalg@interpolative.py@.PATH_END.py |
{
"filename": "flow.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/tests/test-projects/wrapped-flow-project/flow.py",
"type": "Python"
} | from .utils import pipeline_flow
@pipeline_flow(name="wrapped-flow")
def test_flow():
return "I'm a pipeline flow!"
| PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@tests@test-projects@wrapped-flow-project@flow.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "IAS-Astrophysics/athenak",
"repo_path": "athenak_extracted/athenak-main/tst/scripts/__init__.py",
"type": "Python"
} | IAS-AstrophysicsREPO_NAMEathenakPATH_START.@athenak_extracted@athenak-main@tst@scripts@__init__.py@.PATH_END.py | |
{
"filename": "matrix.md",
"repo_name": "smirik/resonances",
"repo_path": "resonances_extracted/resonances-main/docs/matrix.md",
"type": "Markdown"
} | # Resonance Matrices
The Resonance Matrices allows us to find the preliminary (theoretical) value of a resonant semi-major axis for the resonance. While for a two-body mean motion resonance the calculation follows obviously from the Third Kepler Law, it is not so straightforward for three-body mean motion resonances.
... | smirikREPO_NAMEresonancesPATH_START.@resonances_extracted@resonances-main@docs@matrix.md@.PATH_END.py |
{
"filename": "_fresnel.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/mesh3d/lighting/_fresnel.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FresnelValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="fresnel", parent_name="mesh3d.lighting", **kwargs):
super(FresnelValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@mesh3d@lighting@_fresnel.py@.PATH_END.py |
{
"filename": "_showexponent.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattermapbox/marker/colorbar/_showexponent.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="showexponent",
parent_name="scattermapbox.marker.colorbar",
**kwargs
):
super(ShowexponentValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattermapbox@marker@colorbar@_showexponent.py@.PATH_END.py |
{
"filename": "test_construction.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/arrays/boolean/test_construction.py",
"type": "Python"
} | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.arrays import BooleanArray
from pandas.core.arrays.boolean import coerce_to_array
def test_boolean_array_constructor():
values = np.array([True, False, True, False], dtype="bool")
mask = np.array([False, False, Fals... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@arrays@boolean@test_construction.py@.PATH_END.py |
{
"filename": "_text.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/treemap/_text.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="text", parent_name="treemap", **kwargs):
super(TextValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@treemap@_text.py@.PATH_END.py |
{
"filename": "test.py",
"repo_name": "bolverk/huji-rich",
"repo_path": "huji-rich_extracted/huji-rich-master/convergence/acoustic_1d/lagrangian_second_order/test.py",
"type": "Python"
} | #! /usr/bin/python
import math
def chi_squared(a1, a2):
import math
diff2 = [(x-y)**2 for x,y in zip(a1,a2)]
return math.sqrt(sum(diff2)/(max(a1)-min(a1))**2/len(a1))
def L1_error_norm(a1,a2):
import math
abs_diff = [abs(x-y) for x,y in zip(a1,a2)]
return sum(abs_diff)/len(a1)
def error_... | bolverkREPO_NAMEhuji-richPATH_START.@huji-rich_extracted@huji-rich-master@convergence@acoustic_1d@lagrangian_second_order@test.py@.PATH_END.py |
{
"filename": "test_scs.py",
"repo_name": "stephane-caron/qpsolvers",
"repo_path": "qpsolvers_extracted/qpsolvers-main/tests/test_scs.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# SPDX-License-Identifier: LGPL-3.0-or-later
# Copyright 2016-2022 Stéphane Caron and the qpsolvers contributors
"""Unit tests for SCS."""
import unittest
import warnings
import numpy as np
from qpsolvers import ProblemError
from .problems import get_sd3310_problem
... | stephane-caronREPO_NAMEqpsolversPATH_START.@qpsolvers_extracted@qpsolvers-main@tests@test_scs.py@.PATH_END.py |
{
"filename": "lut_tags.py",
"repo_name": "GeminiDRSoftware/GHOSTDR",
"repo_path": "GHOSTDR_extracted/GHOSTDR-master/ghost_instruments/test/lut_tags.py",
"type": "Python"
} | fixture_data = {
# Example
# ('GHOST', 'filename.fits'): ['tag', 'set', 'in', 'full', ],
# GHOST BIAS
('GHOST', 'bias_1_MEF.fits'): ['BIAS',
'BUNDLE',
'CAL',
'GEMINI',
... | GeminiDRSoftwareREPO_NAMEGHOSTDRPATH_START.@GHOSTDR_extracted@GHOSTDR-master@ghost_instruments@test@lut_tags.py@.PATH_END.py |
{
"filename": "molinfo_test.py",
"repo_name": "HajimeKawahara/exojax",
"repo_path": "exojax_extracted/exojax-master/tests/unittests/spec/api/molinfo_test.py",
"type": "Python"
} | import pytest
from exojax.spec.molinfo import molmass_isotope
from exojax.spec.molinfo import isotope_molmass
from exojax.spec.molinfo import molmass #deprecated
def test_isotope_molmass():
assert isotope_molmass("(12C)(16O)") == pytest.approx(27.994915)
assert isotope_molmass("12C-16O") == pytest.approx(27.9... | HajimeKawaharaREPO_NAMEexojaxPATH_START.@exojax_extracted@exojax-master@tests@unittests@spec@api@molinfo_test.py@.PATH_END.py |
{
"filename": "text.py",
"repo_name": "rapidsai/cuml",
"repo_path": "cuml_extracted/cuml-main/python/cuml/cuml/feature_extraction/text.py",
"type": "Python"
} | # Copyright (c) 2022-2023, 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 agre... | rapidsaiREPO_NAMEcumlPATH_START.@cuml_extracted@cuml-main@python@cuml@cuml@feature_extraction@text.py@.PATH_END.py |
{
"filename": "hints.py",
"repo_name": "joezuntz/cosmosis",
"repo_path": "cosmosis_extracted/cosmosis-main/cosmosis/samplers/hints.py",
"type": "Python"
} | import numpy as np
class Hints(object):
def __init__(self):
self._peak = None
self._cov = None
self._peak_post = None
def has_peak(self):
return self._peak is not None
def set_peak(self, peak, post):
if self._peak_post is None or post > self._peak_post:
... | joezuntzREPO_NAMEcosmosisPATH_START.@cosmosis_extracted@cosmosis-main@cosmosis@samplers@hints.py@.PATH_END.py |
{
"filename": "featureclassifier.py",
"repo_name": "dtamayo/spock",
"repo_path": "spock_extracted/spock-master/spock/featureclassifier.py",
"type": "Python"
} | import os
from multiprocessing import cpu_count
from multiprocessing.pool import ThreadPool
import numpy as np
import rebound
from xgboost import XGBClassifier
from .feature_functions import features
from .simsetup import init_sim_parameters
class FeatureClassifier():
def __init__(self, modelfile='featureclassif... | dtamayoREPO_NAMEspockPATH_START.@spock_extracted@spock-master@spock@featureclassifier.py@.PATH_END.py |
{
"filename": "INPUT.md",
"repo_name": "bradkav/WIMpy_NREFT",
"repo_path": "WIMpy_NREFT_extracted/WIMpy_NREFT-main/old_WIMpy/FormFactors/INPUT.md",
"type": "Markdown"
} | # WIMpy_NREFT
## NREFT form factors
The nuclear form factors are written in the form:
$$
F_X^{(N, N')} = \mathrm{e}^{-2y}\sum_{k} c_k y^k\,.
$$
The definition of the dimensionless momentum variable y can be found in e.g. Appendix A.3 of [arXiv:1203.3542](https://arxiv.org/abs/1203.3542).
The form factors tables gi... | bradkavREPO_NAMEWIMpy_NREFTPATH_START.@WIMpy_NREFT_extracted@WIMpy_NREFT-main@old_WIMpy@FormFactors@INPUT.md@.PATH_END.py |
{
"filename": "_yanchor.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatter/marker/colorbar/_yanchor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class YanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="yanchor", parent_name="scatter.marker.colorbar", **kwargs
):
super(YanchorValidator, self).__init__(
plotly_name=plotly_name,
p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatter@marker@colorbar@_yanchor.py@.PATH_END.py |
{
"filename": "test_isin.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/series/methods/test_isin.py",
"type": "Python"
} | import numpy as np
import pytest
import pandas as pd
from pandas import (
Series,
date_range,
)
import pandas._testing as tm
from pandas.core import algorithms
from pandas.core.arrays import PeriodArray
class TestSeriesIsIn:
def test_isin(self):
s = Series(["A", "B", "C", "a", "B", "B", "A", "C"]... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@series@methods@test_isin.py@.PATH_END.py |
{
"filename": "interface.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/src/amuse/community/mesa/interface.py",
"type": "Python"
} | """
MESA chooser
"""
from amuse.community.mesa_r2208.interface import \
MESAInterface as MESAInterface_2208
from amuse.community.mesa_r15140.interface import \
MESAInterface as MESAInterface_15140
from amuse.community.mesa_r2208.interface import MESA as MESA_2208
from amuse.community.mesa_r15140.interface impor... | amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@src@amuse@community@mesa@interface.py@.PATH_END.py |
{
"filename": "postprocess.py",
"repo_name": "eggplantbren/RJObject",
"repo_path": "RJObject_extracted/RJObject-master/Examples/SineWaves/postprocess.py",
"type": "Python"
} | # Copyright (c) 2009, 2010, 2011, 2012 Brendon J. Brewer.
#
# This file is part of DNest3.
#
# DNest3 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 3 of the License, or
# (at your option) any ... | eggplantbrenREPO_NAMERJObjectPATH_START.@RJObject_extracted@RJObject-master@Examples@SineWaves@postprocess.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "panoptes/POCS",
"repo_path": "POCS_extracted/POCS-main/setup.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Setup file for utils.
Use setup.cfg to configure your project.
This file was generated with PyScaffold 3.2.3.
PyScaffold helps you to put up the scaffold of your new Python project.
Learn more under: https://pyscaffold.org/
"""
import sys
from pkg_resources import Versi... | panoptesREPO_NAMEPOCSPATH_START.@POCS_extracted@POCS-main@setup.py@.PATH_END.py |
{
"filename": "test_noisy_percentile.py",
"repo_name": "astropy/halotools",
"repo_path": "halotools_extracted/halotools-master/halotools/empirical_models/abunmatch/tests/test_noisy_percentile.py",
"type": "Python"
} | """
"""
import numpy as np
from scipy.stats import spearmanr
from astropy.utils.misc import NumpyRNGContext
from ..noisy_percentile import noisy_percentile
__all__ = ('test_noisy_percentile1', )
fixed_seed = 43
npts = int(1e5)
with NumpyRNGContext(fixed_seed):
u = np.random.uniform(0, 1, npts)
uran = np.ra... | astropyREPO_NAMEhalotoolsPATH_START.@halotools_extracted@halotools-master@halotools@empirical_models@abunmatch@tests@test_noisy_percentile.py@.PATH_END.py |
{
"filename": "linear_basis.py",
"repo_name": "sibirrer/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/lenstronomy/LightModel/linear_basis.py",
"type": "Python"
} | __author__ = "sibirrer"
# this file contains a class which describes the surface brightness of the light models
import numpy as np
from lenstronomy.LightModel.light_model_base import LightModelBase
__all__ = ["LinearBasis"]
class LinearBasis(LightModelBase):
"""Class to handle source and lens light models."""
... | sibirrerREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@lenstronomy@LightModel@linear_basis.py@.PATH_END.py |
{
"filename": "axeinputs.py",
"repo_name": "spacetelescope/hstaxe",
"repo_path": "hstaxe_extracted/hstaxe-main/hstaxe/axesrc/axeinputs.py",
"type": "Python"
} | """
See LICENSE.txt
"""
import os
import numpy as np
from copy import deepcopy
from astropy.io import fits
from astropy.table import Table, Column
from astropy.io.registry import IORegistryError
from hstaxe.axeerror import aXeError
from hstaxe import config as config_util
class aXeInput:
"""Class for the admini... | spacetelescopeREPO_NAMEhstaxePATH_START.@hstaxe_extracted@hstaxe-main@hstaxe@axesrc@axeinputs.py@.PATH_END.py |
{
"filename": "fresnel.py",
"repo_name": "hmuellergoe/mrbeam",
"repo_path": "mrbeam_extracted/mrbeam-main/mr_beam/itreg/regpy/operators/fresnel.py",
"type": "Python"
} | import numpy as np
from regpy.operators import Exponential, FourierTransform, Multiplication, RealPart, SquaredModulus
def fresnel_propagator(domain, fresnel_number):
r"""Operator that implements Fresnel-propagation of 2D-arrays, which models near-field
diffraction in the regime of the free-space paraxial He... | hmuellergoeREPO_NAMEmrbeamPATH_START.@mrbeam_extracted@mrbeam-main@mr_beam@itreg@regpy@operators@fresnel.py@.PATH_END.py |
{
"filename": "savedmodel_test.py",
"repo_name": "jax-ml/jax",
"repo_path": "jax_extracted/jax-main/jax/experimental/jax2tf/tests/savedmodel_test.py",
"type": "Python"
} | # Copyright 2020 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@experimental@jax2tf@tests@savedmodel_test.py@.PATH_END.py |
{
"filename": "trappist_substellar.py",
"repo_name": "marblestation/posidonius",
"repo_path": "posidonius_extracted/posidonius-master/cases/Revol_et_al_2024/trappist_substellar.py",
"type": "Python"
} | import posidonius
import numpy as np
import argparse
import os, sys
from posidonius.particles.axes import Axes
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('output_filename', action='store', help='Filename where the initial snapshot will be stored (e.g., universe_integrator... | marblestationREPO_NAMEposidoniusPATH_START.@posidonius_extracted@posidonius-master@cases@Revol_et_al_2024@trappist_substellar.py@.PATH_END.py |
{
"filename": "12240_rval_150010.py",
"repo_name": "shreeyesh-biswal/Rvalue_3D",
"repo_path": "Rvalue_3D_extracted/Rvalue_3D-main/Codes/Zero/AR_12240/12240_rval_150010.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jul 5 03:33:07 2024
@author: shreeyeshbiswal
"""
import os
import numpy as np
import matplotlib as mpl
from matplotlib import pyplot as plt
from matplotlib.pyplot import figure
AR = "12240"
core_dir = "/home/shreeyeshbiswal/IDLWorkspace/Dataset_PF/"
... | shreeyesh-biswalREPO_NAMERvalue_3DPATH_START.@Rvalue_3D_extracted@Rvalue_3D-main@Codes@Zero@AR_12240@12240_rval_150010.py@.PATH_END.py |
{
"filename": "validator.py",
"repo_name": "franpoz/SHERLOCK",
"repo_path": "SHERLOCK_extracted/SHERLOCK-master/sherlockpipe/validation/validator.py",
"type": "Python"
} | import copy
import logging
import shutil
import traceback
import numpy as np
import matplotlib.pyplot as plt
import yaml
from astroquery.mast import TesscutClass
from lcbuilder.lcbuilder_class import LcBuilder
from lightkurve import TessLightCurve, KeplerLightCurve
import pandas as pd
import os
import ast
import tricer... | franpozREPO_NAMESHERLOCKPATH_START.@SHERLOCK_extracted@SHERLOCK-master@sherlockpipe@validation@validator.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/gemini_instruments/cirpass/__init__.py",
"type": "Python"
} | __all__ = ['AstroDataCirpass']
from astrodata import factory
from .adclass import AstroDataCirpass
factory.addClass(AstroDataCirpass)
| GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@gemini_instruments@cirpass@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/yaxis/title/font/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._size import SizeValidator
from ._family import FamilyValidator
from ._color import ColorValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
["._siz... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@yaxis@title@font@__init__.py@.PATH_END.py |
{
"filename": "2023_09_25_121806_8167af8df781_remove_flow_run_id_requirement_from_task_run.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/src/prefect/server/database/_migrations/versions/sqlite/2023_09_25_121806_8167af8df781_remove_flow_run_id_requirement_from_task_run.py",
... | """Make flow_run_id nullable on task_run and log tables
Revision ID: 05ea6f882b1d
Revises: 8167af8df781
Create Date: 2023-09-25 12:18:06.722322
"""
from alembic import op
# revision identifiers, used by Alembic.
revision = "05ea6f882b1d"
down_revision = "8167af8df781"
branch_labels = None
depends_on = None
def up... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@src@prefect@server@database@_migrations@versions@sqlite@2023_09_25_121806_8167af8df781_remove_flow_run_id_requirement_from_task_run.py@.PATH_END.py |
{
"filename": "memh5.py",
"repo_name": "radiocosmology/caput",
"repo_path": "caput_extracted/caput-master/caput/memh5.py",
"type": "Python"
} | """Module for making in-memory mock-ups of :mod:`h5py` objects.
It is sometimes useful to have a consistent API for data that is independent
of whether that data lives on disk or in memory. :mod:`h5py` provides this to a
certain extent, having :class:`h5py.Dataset` objects that act very much like
:mod:`numpy` arrays. ... | radiocosmologyREPO_NAMEcaputPATH_START.@caput_extracted@caput-master@caput@memh5.py@.PATH_END.py |
{
"filename": "admin.py",
"repo_name": "lsst-uk/lasair-lsst",
"repo_path": "lasair-lsst_extracted/lasair-lsst-main/webserver/lasair/admin.py",
"type": "Python"
} | from django.contrib import admin
| lsst-ukREPO_NAMElasair-lsstPATH_START.@lasair-lsst_extracted@lasair-lsst-main@webserver@lasair@admin.py@.PATH_END.py |
{
"filename": "_outlinecolor.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/heatmap/colorbar/_outlinecolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="outlinecolor", parent_name="heatmap.colorbar", **kwargs
):
super(OutlinecolorValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@heatmap@colorbar@_outlinecolor.py@.PATH_END.py |
{
"filename": "Multi-Star Inference with Chempy - Tutorial.ipynb",
"repo_name": "oliverphilcox/ChempyMulti",
"repo_path": "ChempyMulti_extracted/ChempyMulti-master/Multi-Star Inference with Chempy - Tutorial.ipynb",
"type": "Jupyter Notebook"
} | ## Tutorial Outline
**In this tutorial we will demonstrate how to:**
1. Use the new *Chempy* functions, which take the stellar birth-time as inputs
2. Create and train a neural network to emulate the *Chempy* with birth-time as a free parameter
3. Generate mock data-sets using *Chempy*. We will also describe the fi... | oliverphilcoxREPO_NAMEChempyMultiPATH_START.@ChempyMulti_extracted@ChempyMulti-master@Multi-Star Inference with Chempy - Tutorial.ipynb@.PATH_END.py |
{
"filename": "_weight.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/contourcarpet/contours/labelfont/_weight.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WeightValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self,
plotly_name="weight",
parent_name="contourcarpet.contours.labelfont",
**kwargs,
):
super(WeightValidator, self).__init__(
plotly_nam... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@contourcarpet@contours@labelfont@_weight.py@.PATH_END.py |
{
"filename": "shift.md",
"repo_name": "myrafproject/myrafproject",
"repo_path": "myrafproject_extracted/myrafproject-main/example/command_line/shift.md",
"type": "Markdown"
} | # shift
`shift` shifts FITS files.
usage: im shift [-h] file x y output
## Positional Arguments:
- **file** A file path or pattern (e.g., "*.fits")
- **x** Amount to shift in the X direction
- **y** Amount to shift in the Y direction
- **output** Output directory
## Op... | myrafprojectREPO_NAMEmyrafprojectPATH_START.@myrafproject_extracted@myrafproject-main@example@command_line@shift.md@.PATH_END.py |
{
"filename": "test_erfa.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/astropy/_erfa/tests/test_erfa.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import numpy as np
from .. import core as erfa
from ...tests.helper import catch_warnings
def test_erfa_wrapper():
"""
Runs a set of tests that mostly make sure vectorization is
working as expected
"""
jd = np.linspace(2456855.5, 24... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@astropy@_erfa@tests@test_erfa.py@.PATH_END.py |
{
"filename": "job.py",
"repo_name": "rhayes777/PyAutoFit",
"repo_path": "PyAutoFit_extracted/PyAutoFit-main/autofit/non_linear/grid/grid_search/job.py",
"type": "Python"
} | from typing import Optional, Dict
from autofit.non_linear.parallel import AbstractJob, AbstractJobResult
class JobResult(AbstractJobResult):
def __init__(self, result, result_list_row, number):
"""
The result of a job
Parameters
----------
result
The result of... | rhayes777REPO_NAMEPyAutoFitPATH_START.@PyAutoFit_extracted@PyAutoFit-main@autofit@non_linear@grid@grid_search@job.py@.PATH_END.py |
{
"filename": "test_interval_range.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/indexes/interval/test_interval_range.py",
"type": "Python"
} | from datetime import timedelta
import numpy as np
import pytest
from pandas.core.dtypes.common import is_integer
from pandas import (
DateOffset,
Interval,
IntervalIndex,
Timedelta,
Timestamp,
date_range,
interval_range,
timedelta_range,
)
import pandas._testing as tm
from pandas.tse... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@indexes@interval@test_interval_range.py@.PATH_END.py |
{
"filename": "ngmix_runner.py",
"repo_name": "CosmoStat/shapepipe",
"repo_path": "shapepipe_extracted/shapepipe-master/shapepipe/modules/ngmix_runner.py",
"type": "Python"
} | """NGMIX RUNNER.
Module runner for ``ngmix``.
:Author: Axel Guinot
"""
from shapepipe.modules.module_decorator import module_runner
from shapepipe.modules.ngmix_package.ngmix import Ngmix
@module_runner(
version='0.0.1',
input_module=[
'sextractor_runner',
'psfex_interp_runner',
'v... | CosmoStatREPO_NAMEshapepipePATH_START.@shapepipe_extracted@shapepipe-master@shapepipe@modules@ngmix_runner.py@.PATH_END.py |
{
"filename": "_text.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/pointcloud/_text.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="text", parent_name="pointcloud", **kwargs):
super(TextValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
arra... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@pointcloud@_text.py@.PATH_END.py |
{
"filename": "_ticklen.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattersmith/marker/colorbar/_ticklen.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="ticklen",
parent_name="scattersmith.marker.colorbar",
**kwargs,
):
super(TicklenValidator, self).__init__(
plotly_name=... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattersmith@marker@colorbar@_ticklen.py@.PATH_END.py |
{
"filename": "_value.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/ternary/baxis/tickformatstop/_value.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ValueValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="value",
parent_name="layout.ternary.baxis.tickformatstop",
**kwargs,
):
super(ValueValidator, self).__init__(
plotly_name... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@ternary@baxis@tickformatstop@_value.py@.PATH_END.py |
{
"filename": "ResultsPlotting.ipynb",
"repo_name": "nickfarrow/GalacticDNSMass",
"repo_path": "GalacticDNSMass_extracted/GalacticDNSMass-master/mainCode/Plotting/ResultsPlotting.ipynb",
"type": "Jupyter Notebook"
} | ```python
import matplotlib.pyplot as plt
import corner
import pymultinest
#Imports
import numpy as np
from scipy import stats
from scipy.special import erf
import json
import os
import sys
import random
from math import log10, floor
### Top directory for the location of project files.
topDirectory = '../'
if not... | nickfarrowREPO_NAMEGalacticDNSMassPATH_START.@GalacticDNSMass_extracted@GalacticDNSMass-master@mainCode@Plotting@ResultsPlotting.ipynb@.PATH_END.py |
{
"filename": "plot_energy_vs_t.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/src/amuse/community/ph4/plot_energy_vs_t.py",
"type": "Python"
} | #!/usr/bin/env python
import getopt
import string
from pylab import *
import re
import numpy
from math import log10
# Display a time sequence from a (not yet standard) AMUSE log file.
if __name__ == '__main__':
try:
opts, args = getopt.getopt(sys.argv[1:], "f:lq:t:")
except getopt.GetoptErr... | amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@src@amuse@community@ph4@plot_energy_vs_t.py@.PATH_END.py |
{
"filename": "MassIntegrals.py",
"repo_name": "oliverphilcox/EffectiveHalos",
"repo_path": "EffectiveHalos_extracted/EffectiveHalos-master/EffectiveHalos/MassIntegrals.py",
"type": "Python"
} | from . import Cosmology, MassFunction, HaloPhysics
import numpy as np
from scipy.special import spherical_jn
from scipy.integrate import simps
class MassIntegrals:
"""
Class to compute and store the various mass integrals of the form
.. math::
I_p^{q_1,q_2}(k_1,...k_p) = \\int n(m)b^{(q_1)}(m)b^{... | oliverphilcoxREPO_NAMEEffectiveHalosPATH_START.@EffectiveHalos_extracted@EffectiveHalos-master@EffectiveHalos@MassIntegrals.py@.PATH_END.py |
{
"filename": "_style.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/carpet/baxis/title/font/_style.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StyleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="style", parent_name="carpet.baxis.title.font", **kwargs
):
super(StyleValidator, self).__init__(
plotly_name=plotly_name,
parent_... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@carpet@baxis@title@font@_style.py@.PATH_END.py |
{
"filename": "urap.py",
"repo_name": "spedas/pyspedas",
"repo_path": "pyspedas_extracted/pyspedas-master/pyspedas/projects/ulysses/urap.py",
"type": "Python"
} | from .load import load
from typing import List, Union
# This routine was moved out of __init__.py. Please see that file for previous revision history.
def urap(trange:List[str]=['2003-01-01', '2003-01-02'],
datatype:str='pfrp_m0',
prefix:str='',
suffix:str='',
get_support_data:bool=Fa... | spedasREPO_NAMEpyspedasPATH_START.@pyspedas_extracted@pyspedas-master@pyspedas@projects@ulysses@urap.py@.PATH_END.py |
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