metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "test_caching.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/tests/unit_tests/embeddings/test_caching.py",
"type": "Python"
} | """Embeddings tests."""
from typing import List
import pytest
from langchain_core.embeddings import Embeddings
from langchain.embeddings import CacheBackedEmbeddings
from langchain.storage.in_memory import InMemoryStore
class MockEmbeddings(Embeddings):
def embed_documents(self, texts: List[str]) -> List[List[... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@tests@unit_tests@embeddings@test_caching.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "esheldon/ngmix",
"repo_path": "ngmix_extracted/ngmix-master/ngmix/admom/__init__.py",
"type": "Python"
} | # flake8: noqa
from . import admom
from .admom import *
from . import admom_nb
| esheldonREPO_NAMEngmixPATH_START.@ngmix_extracted@ngmix-master@ngmix@admom@__init__.py@.PATH_END.py |
{
"filename": "_bordercolor.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/slider/_bordercolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="bordercolor", parent_name="layout.slider", **kwargs
):
super(BordercolorValidator, self).__init__(
plotly_name=plotly_name,
pare... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@slider@_bordercolor.py@.PATH_END.py |
{
"filename": "_lightposition.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/isosurface/_lightposition.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Lightposition(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "isosurface"
_path_str = "isosurface.lightposition"
_valid_props = {"x", "y", "z"}
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@isosurface@_lightposition.py@.PATH_END.py |
{
"filename": "io_ops.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/ops/io_ops.py",
"type": "Python"
} | # Copyright 2015 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@io_ops.py@.PATH_END.py |
{
"filename": "compute_correction_function.py",
"repo_name": "oliverphilcox/HIPSTER",
"repo_path": "HIPSTER_extracted/HIPSTER-master/python/compute_correction_function.py",
"type": "Python"
} | ## Function to compute the survey correction function for a given survey geometry (specified an input random particle file).
## This is based on a simple wrapper for Corrfunc, to compute RR counts which are compared to an idealized model
## NB: This requires an aperiodic survey.
## Results are stored as fits to the mul... | oliverphilcoxREPO_NAMEHIPSTERPATH_START.@HIPSTER_extracted@HIPSTER-master@python@compute_correction_function.py@.PATH_END.py |
{
"filename": "printfuncs.py",
"repo_name": "IvS-KULeuven/IvSPythonRepository",
"repo_path": "IvSPythonRepository_extracted/IvSPythonRepository-master/sigproc/lmfit/printfuncs.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Created on Fri Apr 20 19:24:21 2012
@author: Tillsten
Changes:
- 13-Feb-2013 M Newville
complemented "report_errors" and "report_ci" with
"error_report" and "ci_report" (respectively) which
return the text of the report. Thus report_errors()
is simply:
def ... | IvS-KULeuvenREPO_NAMEIvSPythonRepositoryPATH_START.@IvSPythonRepository_extracted@IvSPythonRepository-master@sigproc@lmfit@printfuncs.py@.PATH_END.py |
{
"filename": "plot_fit_lineshape.py",
"repo_name": "radis/radis",
"repo_path": "radis_extracted/radis-master/examples/2_Experimental_spectra/plot_fit_lineshape.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
==================================
Fit Multiple Voigt Lineshapes
==================================
Direct-access functions to fit a sum of three Voigt lineshapes on an
experimental spectrum.
This uses the underlying fitting routines of :py:mod:`specutils`
:py:func:`specutils.fitting.fit_l... | radisREPO_NAMEradisPATH_START.@radis_extracted@radis-master@examples@2_Experimental_spectra@plot_fit_lineshape.py@.PATH_END.py |
{
"filename": "main.py",
"repo_name": "cdslaborg/paramonte",
"repo_path": "paramonte_extracted/paramonte-main/example/fortran/pm_mathGammaAM/getGammaIncUppAM/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 = "RK"
label = [ r"shape: $\kappa = 1.0$"
, r"shape: $\kappa = 2.5$"
, r"shape: $\kappa = 5.0$"
]
pattern = "*." + kind + ".txt"
fileList = glob.glob(pattern... | cdslaborgREPO_NAMEparamontePATH_START.@paramonte_extracted@paramonte-main@example@fortran@pm_mathGammaAM@getGammaIncUppAM@main.py@.PATH_END.py |
{
"filename": "AIPSData.py",
"repo_name": "bill-cotton/Obit",
"repo_path": "Obit_extracted/Obit-master/ObitSystem/ObitTalk/python/Wizardry/AIPSData.py",
"type": "Python"
} | # Copyright (C) 2005 Joint Institute for VLBI in Europe
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This progr... | bill-cottonREPO_NAMEObitPATH_START.@Obit_extracted@Obit-master@ObitSystem@ObitTalk@python@Wizardry@AIPSData.py@.PATH_END.py |
{
"filename": "stochastic.py",
"repo_name": "google/flax",
"repo_path": "flax_extracted/flax-main/flax/nnx/nn/stochastic.py",
"type": "Python"
} | # Copyright 2024 The Flax Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | googleREPO_NAMEflaxPATH_START.@flax_extracted@flax-main@flax@nnx@nn@stochastic.py@.PATH_END.py |
{
"filename": "xml.py",
"repo_name": "paulo-herrera/PyEVTK",
"repo_path": "PyEVTK_extracted/PyEVTK-master/evtk/xml.py",
"type": "Python"
} | ######################################################################################
# MIT License
#
# Copyright (c) 2010-2024 Paulo A. Herrera
#
# 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 Sof... | paulo-herreraREPO_NAMEPyEVTKPATH_START.@PyEVTK_extracted@PyEVTK-master@evtk@xml.py@.PATH_END.py |
{
"filename": "droporphanmetadata.py",
"repo_name": "CMB-S4/spt3g_software",
"repo_path": "spt3g_software_extracted/spt3g_software-master/core/tests/droporphanmetadata.py",
"type": "Python"
} | #!/usr/bin/env python
from spt3g import core
from spt3g.core import G3FrameType
frametypes = [G3FrameType.Wiring, G3FrameType.Calibration, G3FrameType.Calibration, G3FrameType.Timepoint, G3FrameType.Observation, G3FrameType.Wiring, G3FrameType.Observation, G3FrameType.Calibration, G3FrameType.Scan, G3FrameType.Scan, ... | CMB-S4REPO_NAMEspt3g_softwarePATH_START.@spt3g_software_extracted@spt3g_software-master@core@tests@droporphanmetadata.py@.PATH_END.py |
{
"filename": "test_orbits.py",
"repo_name": "jobovy/galpy",
"repo_path": "galpy_extracted/galpy-main/tests/test_orbits.py",
"type": "Python"
} | ##########################TESTS ON MULTIPLE ORBITS#############################
import astropy
import astropy.coordinates as apycoords
import astropy.units as u
import numpy
import pytest
from galpy import potential
_APY3 = astropy.__version__ > "3"
# Test Orbits initialization
def test_initialization_vxvv():
f... | jobovyREPO_NAMEgalpyPATH_START.@galpy_extracted@galpy-main@tests@test_orbits.py@.PATH_END.py |
{
"filename": "spatial_dropout.py",
"repo_name": "keras-team/keras",
"repo_path": "keras_extracted/keras-master/keras/src/layers/regularization/spatial_dropout.py",
"type": "Python"
} | from keras.src import backend
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.layers.input_spec import InputSpec
from keras.src.layers.regularization.dropout import Dropout
class BaseSpatialDropout(Dropout):
def __init__(self, rate, seed=None, name=None, dtype=None):
... | keras-teamREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@layers@regularization@spatial_dropout.py@.PATH_END.py |
{
"filename": "profile.py",
"repo_name": "scikit-image/scikit-image",
"repo_path": "scikit-image_extracted/scikit-image-main/skimage/measure/profile.py",
"type": "Python"
} | import numpy as np
from scipy import ndimage as ndi
from .._shared.utils import _validate_interpolation_order, _fix_ndimage_mode
def profile_line(
image,
src,
dst,
linewidth=1,
order=None,
mode='reflect',
cval=0.0,
*,
reduce_func=np.mean,
):
"""Return the intensity profile of ... | scikit-imageREPO_NAMEscikit-imagePATH_START.@scikit-image_extracted@scikit-image-main@skimage@measure@profile.py@.PATH_END.py |
{
"filename": "ndio.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/nddata/mixins/ndio.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
# This module implements the I/O mixin to the NDData class.
from astropy.io import registry
__all__ = ["NDIOMixin"]
__doctest_skip__ = ["NDDataRead", "NDDataWrite"]
class NDDataRead(registry.UnifiedReadWrite):
"""Read and parse gridded N-dimension... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@nddata@mixins@ndio.py@.PATH_END.py |
{
"filename": "test_sed_bb.py",
"repo_name": "mirochaj/ares",
"repo_path": "ares_extracted/ares-main/examples/sources/test_sed_bb.py",
"type": "Python"
} | """
test_sed_mcd.py
Author: Jordan Mirocha
Affiliation: University of Colorado at Boulder
Created on: Thu May 2 10:46:44 2013
Description: Plot a simple multi-color disk accretion spectrum.
"""
import ares
import numpy as np
import matplotlib.pyplot as pl
pars = \
{
'source_temperature': 1e4,
'source_Emin': 1.... | mirochajREPO_NAMEaresPATH_START.@ares_extracted@ares-main@examples@sources@test_sed_bb.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py3/scipy/sparse/linalg/_dsolve/setup.py",
"type": "Python"
} | from os.path import join, dirname
import sys
import glob
def configuration(parent_package='',top_path=None):
from numpy.distutils.misc_util import Configuration
from numpy.distutils.system_info import get_info
from scipy._build_utils import numpy_nodepr_api
config = Configuration('_dsolve',parent_pac... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py3@scipy@sparse@linalg@_dsolve@setup.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/candlestick/hoverlabel/font/_style.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StyleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="style", parent_name="candlestick.hoverlabel.font", **kwargs
):
super(StyleValidator, self).__init__(
plotly_name=plotly_name,
par... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@candlestick@hoverlabel@font@_style.py@.PATH_END.py |
{
"filename": "test_hitran_cdsd.py",
"repo_name": "radis/radis",
"repo_path": "radis_extracted/radis-master/radis/test/io/test_hitran_cdsd.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""Test parsers.
Notes
-----
Runs tests for radis/io so that they can be accessed by pytest (and hopefully
the CI test suite)
Examples
--------
Run all tests::
pytest (in command line, in project folder)
Run only fast tests (i.e: tests that have a 'fast' label)::
pyt... | radisREPO_NAMEradisPATH_START.@radis_extracted@radis-master@radis@test@io@test_hitran_cdsd.py@.PATH_END.py |
{
"filename": "cube_minimal_example.py",
"repo_name": "pyspeckit/pyspeckit",
"repo_path": "pyspeckit_extracted/pyspeckit-master/examples/cube_minimal_example.py",
"type": "Python"
} | import pyspeckit
from pyspeckit.cubes.tests.test_cubetools import make_test_cube
import matplotlib.pylab as plt
import numpy as np
# generate a test spectral cube (10x10, with a 100 spectral channels)
make_test_cube((100,10,10), outfile='test.fits')
spc = pyspeckit.Cube('test.fits')
# do a crude noise estimate on the... | pyspeckitREPO_NAMEpyspeckitPATH_START.@pyspeckit_extracted@pyspeckit-master@examples@cube_minimal_example.py@.PATH_END.py |
{
"filename": "run_mcmc_from_ses.py",
"repo_name": "3fon3fonov/exostriker",
"repo_path": "exostriker_extracted/exostriker-main/exostriker/lib/run_mcmc_from_ses.py",
"type": "Python"
} | #!/usr/bin/env python3
"""
@author: Trifon Trifonov
"""
import sys, os
sys.path.insert(0, './lib')
sys.path.append('./exostriker/lib/RV_mod/') #RV_mod directory must be in your path
#lib_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'lib')
#sys.path.insert(0,lib_path)
#os.chdir(os.path.dirname(os... | 3fon3fonovREPO_NAMEexostrikerPATH_START.@exostriker_extracted@exostriker-main@exostriker@lib@run_mcmc_from_ses.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattergl/unselected/textfont/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._color import ColorValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._color.ColorValidator"]
)
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattergl@unselected@textfont@__init__.py@.PATH_END.py |
{
"filename": "_coloraxis.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattersmith/marker/_coloraxis.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
def __init__(
self, plotly_name="coloraxis", parent_name="scattersmith.marker", **kwargs
):
super(ColoraxisValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattersmith@marker@_coloraxis.py@.PATH_END.py |
{
"filename": "test_pytrie.py",
"repo_name": "crossbario/crossbar",
"repo_path": "crossbar_extracted/crossbar-master/crossbar/router/test/test_pytrie.py",
"type": "Python"
} | #####################################################################################
#
# Copyright (c) typedef int GmbH
# SPDX-License-Identifier: EUPL-1.2
#
#####################################################################################
from twisted import trial
from pytrie import StringTrie
class TestPyT... | crossbarioREPO_NAMEcrossbarPATH_START.@crossbar_extracted@crossbar-master@crossbar@router@test@test_pytrie.py@.PATH_END.py |
{
"filename": "ex_pareto_plot.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/statsmodels/examples/ex_pareto_plot.py",
"type": "Python"
} | """
Created on Sun Aug 01 19:20:16 2010
Author: josef-pktd
"""
import numpy as np
from scipy import stats
import matplotlib.pyplot as plt
nobs = 1000
r = stats.pareto.rvs(1, size=nobs)
#rhisto = np.histogram(r, bins=20)
rhisto, e = np.histogram(np.clip(r, 0 , 1000), bins=50)
plt.figure()
plt.loglog(e[:-1]+np.diff(... | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@statsmodels@examples@ex_pareto_plot.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "ParsonsRD/template_builder",
"repo_path": "template_builder_extracted/template_builder-master/README.md",
"type": "Markdown"
} | # ImPACT Template Builder
Set of classes to allow the production of image templates for use with the ImPACT Cherenkov telescope event reconstruction.
For more information about ImPACT see:
https://arxiv.org/abs/1403.2993
https://cta-observatory.github.io/ctapipe/reco/ImPACT.html
Classes are provided to perform the... | ParsonsRDREPO_NAMEtemplate_builderPATH_START.@template_builder_extracted@template_builder-master@README.md@.PATH_END.py |
{
"filename": "mcTestCyclicBuffer.py",
"repo_name": "ACS-Community/ACS",
"repo_path": "ACS_extracted/ACS-master/LGPL/CommonSoftware/monitoring/moncollect/ws/test/mcTestCyclicBuffer.py",
"type": "Python"
} | #!/usr/bin/env python
#*******************************************************************************
# ALMA - Atacama Large Millimiter Array
# (c) Associated Universities Inc., 2002
# (c) European Southern Observatory, 2002
# Copyright by ESO (in the framework of the ALMA collaboration)
# and Cosylab 2002, All right... | ACS-CommunityREPO_NAMEACSPATH_START.@ACS_extracted@ACS-master@LGPL@CommonSoftware@monitoring@moncollect@ws@test@mcTestCyclicBuffer.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "ggalloni/cobaya",
"repo_path": "cobaya_extracted/cobaya-master/cobaya/likelihoods/planck_2018_highl_CamSpec/__init__.py",
"type": "Python"
} | ggalloniREPO_NAMEcobayaPATH_START.@cobaya_extracted@cobaya-master@cobaya@likelihoods@planck_2018_highl_CamSpec@__init__.py@.PATH_END.py | |
{
"filename": "plot.py",
"repo_name": "deepsphere/deepsphere-cosmo-tf1",
"repo_path": "deepsphere-cosmo-tf1_extracted/deepsphere-cosmo-tf1-master/deepsphere/plot.py",
"type": "Python"
} | """Plotting module."""
from __future__ import division
from builtins import range
import datetime
import numpy as np
import healpy as hp
import matplotlib as mpl
import matplotlib.pyplot as plt
from . import utils
def plot_filters_gnomonic(filters, order=10, ind=0, title='Filter {}->{}', graticule=False):
"""... | deepsphereREPO_NAMEdeepsphere-cosmo-tf1PATH_START.@deepsphere-cosmo-tf1_extracted@deepsphere-cosmo-tf1-master@deepsphere@plot.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "JohannesBuchner/BXA",
"repo_path": "BXA_extracted/BXA-master/bxa/sherpa/__init__.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
BXA (Bayesian X-ray Analysis) for Sherpa
Copyright: Johannes Buchner (C) 2013-2019
"""
from __future__ import print_function
import os
from math import log10, isnan, isinf
if 'MAKESPHINXDOC' not in os.environ:
import sherpa.astro.ui as ui
from sherpa.stats import C... | JohannesBuchnerREPO_NAMEBXAPATH_START.@BXA_extracted@BXA-master@bxa@sherpa@__init__.py@.PATH_END.py |
{
"filename": "cubicSpline.py",
"repo_name": "mzechmeister/serval",
"repo_path": "serval_extracted/serval-master/src/cubicSpline.py",
"type": "Python"
} | from __future__ import print_function
# module cubicSpline
''' k = curvatures(xData,yData).
Returns the curvatures of cubic spline at its knots.
y = evalSpline(xData,yData,k,x).
Evaluates cubic spline at x. The curvatures k can be
computed with the function 'curvatures'.
From:
http://www.dur.ac.uk... | mzechmeisterREPO_NAMEservalPATH_START.@serval_extracted@serval-master@src@cubicSpline.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "mikekatz04/BOWIE",
"repo_path": "BOWIE_extracted/BOWIE-master/snr_calculator_folder/setup.py",
"type": "Python"
} | import os
import shutil
from os.path import join as pjoin
from setuptools import setup
from distutils.core import Extension
from Cython.Build import cythonize
import numpy
# Obtain the numpy include directory. This logic works across numpy versions.
try:
numpy_include = numpy.get_include()
except AttributeError:
... | mikekatz04REPO_NAMEBOWIEPATH_START.@BOWIE_extracted@BOWIE-master@snr_calculator_folder@setup.py@.PATH_END.py |
{
"filename": "exosystem_lib.py",
"repo_name": "subisarkar/JexoSim",
"repo_path": "JexoSim_extracted/JexoSim-master/jexosim/lib/exosystem_lib.py",
"type": "Python"
} | """
JexoSim 2.0
Exosystem and related library
"""
import numpy as np
from jexosim.lib import jexosim_lib
from jexosim.lib.jexosim_lib import jexosim_msg, jexosim_plot
from jexosim.classes.sed import Sed
from pytransit import QuadraticModel
import copy
import matplotlib.pyplot as plt
def get_light_curve(opt, plane... | subisarkarREPO_NAMEJexoSimPATH_START.@JexoSim_extracted@JexoSim-master@jexosim@lib@exosystem_lib.py@.PATH_END.py |
{
"filename": "Test HIPSTER-checkpoint.ipynb",
"repo_name": "oliverphilcox/HIPSTER",
"repo_path": "HIPSTER_extracted/HIPSTER-master/.ipynb_checkpoints/Test HIPSTER-checkpoint.ipynb",
"type": "Jupyter Notebook"
} | oliverphilcoxREPO_NAMEHIPSTERPATH_START.@HIPSTER_extracted@HIPSTER-master@.ipynb_checkpoints@Test HIPSTER-checkpoint.ipynb@.PATH_END.py | |
{
"filename": "_tickfont.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/surface/colorbar/_tickfont.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Tickfont(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "surface.colorbar"
_path_str = "surface.colorbar.tickfont"
_valid_props = {
"color"... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@surface@colorbar@_tickfont.py@.PATH_END.py |
{
"filename": "parameter_file_reference.md",
"repo_name": "yuguangchen1/KcwiKit",
"repo_path": "KcwiKit_extracted/KcwiKit-master/kcwikit/docs/parameter_file_reference.md",
"type": "Markdown"
} | # Complete Reference of the Parameter File
Here is the complete reference on the parameter file. However, not all of the parameters are commonly used. An example for common usage is provided [here](../examples/q2343-BX610.par).
Some parameters can be overridden by manually setting them when calling the functions. Fo... | yuguangchen1REPO_NAMEKcwiKitPATH_START.@KcwiKit_extracted@KcwiKit-master@kcwikit@docs@parameter_file_reference.md@.PATH_END.py |
{
"filename": "_tickformat.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/icicle/marker/colorbar/_tickformat.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="tickformat", parent_name="icicle.marker.colorbar", **kwargs
):
super(TickformatValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@icicle@marker@colorbar@_tickformat.py@.PATH_END.py |
{
"filename": "arith.md",
"repo_name": "myrafproject/myrafproject",
"repo_path": "myrafproject_extracted/myrafproject-main/example/command_line/arith.md",
"type": "Markdown"
} | # arith
`arith` does image arithmetic on FITS files.
usage: im arith [-h] file operator other output
## Positional Arguments:
- **file** A file path or pattern (e.g., "*.fits")
- **operator** Operator: +, -, /, *, **, ^
- **other** FITS file or number to operate with
- **output** Ou... | myrafprojectREPO_NAMEmyrafprojectPATH_START.@myrafproject_extracted@myrafproject-main@example@command_line@arith.md@.PATH_END.py |
{
"filename": "_y.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/box/_y.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="y", parent_name="box", **kwargs):
super(YValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@box@_y.py@.PATH_END.py |
{
"filename": "corruptor.py",
"repo_name": "OxfordSKA/OSKAR",
"repo_path": "OSKAR_extracted/OSKAR-master/python/examples/corruptor.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""Simulates visibilities using OSKAR and corrupts them.
Usage: python corruptor.py <oskar_sim_interferometer.ini>
The command line arguments are:
- oskar_sim_interferometer.ini: Path to a settings file for the
oskar_sim_interferometer app.
"""
from __fu... | OxfordSKAREPO_NAMEOSKARPATH_START.@OSKAR_extracted@OSKAR-master@python@examples@corruptor.py@.PATH_END.py |
{
"filename": "calibrators.py",
"repo_name": "TianlaiProject/tlpipe",
"repo_path": "tlpipe_extracted/tlpipe-master/tlpipe/cal/calibrators.py",
"type": "Python"
} | import numpy as np
import ephem
import aipy as a
# 20 sources from Perley and Butler, 2017, An accurate flux density scale from 50 MHz to 50 GHz
src_data = {
# key name RA DEC a0 a1 a2 a3 a4 a5 angle_size
'j0133': ('J0133-3629', '... | TianlaiProjectREPO_NAMEtlpipePATH_START.@tlpipe_extracted@tlpipe-master@tlpipe@cal@calibrators.py@.PATH_END.py |
{
"filename": "_widthsrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatterternary/marker/line/_widthsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="widthsrc", parent_name="scatterternary.marker.line", **kwargs
):
super(WidthsrcValidator, self).__init__(
plotly_name=plotly_name,
pa... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatterternary@marker@line@_widthsrc.py@.PATH_END.py |
{
"filename": "GalRotpy.ipynb",
"repo_name": "andresGranadosC/GalRotpy",
"repo_path": "GalRotpy_extracted/GalRotpy-master/notebook/GalRotpy.ipynb",
"type": "Jupyter Notebook"
} | ```python
from matplotlib.widgets import Slider, Button, RadioButtons, CheckButtons, TextBox # Matplotlib widgets
import matplotlib.pylab as plt # Plotting interface
import numpy as np
from galpy.potential import MiyamotoNagaiPotential, NFWPotential, RazorThinExponentialDiskPotential, BurkertPotential # GALPY potential... | andresGranadosCREPO_NAMEGalRotpyPATH_START.@GalRotpy_extracted@GalRotpy-master@notebook@GalRotpy.ipynb@.PATH_END.py |
{
"filename": "pairsubtraction_demo.py",
"repo_name": "kpicteam/kpic_pipeline",
"repo_path": "kpic_pipeline_extracted/kpic_pipeline-main/examples/pairsubtraction_demo.py",
"type": "Python"
} | import os
import numpy as np
import astropy.io.fits as fits
import kpicdrp.data as data
from kpicdrp.caldb import det_caldb
import kpicdrp.extraction as extraction
from glob import glob
try:
import mkl
mkl.set_num_threads(1)
except:
pass
raw_folder = "/scr3/kpic/Data/210425/spec/"
out_folder = "/scr3/jru... | kpicteamREPO_NAMEkpic_pipelinePATH_START.@kpic_pipeline_extracted@kpic_pipeline-main@examples@pairsubtraction_demo.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/library/python/codecs/__init__.py",
"type": "Python"
} | from __codecs import loads, dumps, list_all_codecs, get_codec_id # noqa
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@library@python@codecs@__init__.py@.PATH_END.py |
{
"filename": "zoom.py",
"repo_name": "vaexio/vaex",
"repo_path": "vaex_extracted/vaex-master/packages/vaex-ui/vaex/ui/plugin/zoom.py",
"type": "Python"
} | import functools
import matplotlib.widgets
import vaex.ui.plugin
from vaex.ui import undo
from vaex.ui.qt import *
from vaex.ui.icons import iconfile
import logging
import vaex.ui.undo as undo
logger = logging.getLogger("plugin.zoom")
@vaex.ui.plugin.pluginclass
class ZoomPlugin(vaex.ui.plugin.PluginPlot):
name =... | vaexioREPO_NAMEvaexPATH_START.@vaex_extracted@vaex-master@packages@vaex-ui@vaex@ui@plugin@zoom.py@.PATH_END.py |
{
"filename": "cdf_maker.ipynb",
"repo_name": "icecube/TauRunner",
"repo_path": "TauRunner_extracted/TauRunner-master/examples/cdf_maker.ipynb",
"type": "Jupyter Notebook"
} | ```python
import numpy as np
import matplotlib.pyplot as plt
from scipy.interpolate import UnivariateSpline
import matplotlib as mpl
from glob import glob
import scipy.integrate as integrate
import pickle as pkl
import taurunner as tr
from taurunner.utils import units
%matplotlib inline
```
## Define your input spec... | icecubeREPO_NAMETauRunnerPATH_START.@TauRunner_extracted@TauRunner-master@examples@cdf_maker.ipynb@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "MiguelEA/nudec_BSM",
"repo_path": "nudec_BSM_extracted/nudec_BSM-master/README.md",
"type": "Markdown"
} | # NUDEC_BSM: Neutrino Decoupling Beyond the Standard Model
This code "NUDEC_BSM", has been developed by Miguel Escudero Abenza in order to solve for early Universe thermodynamics and neutrino decoupling following the simplified approach of ArXiv:1812.05605 [JCAP 1902 (2019) 007] and ArXiv:2001.04466 [JCAP 05 (2020) 04... | MiguelEAREPO_NAMEnudec_BSMPATH_START.@nudec_BSM_extracted@nudec_BSM-master@README.md@.PATH_END.py |
{
"filename": "lorenz.py",
"repo_name": "enthought/mayavi",
"repo_path": "mayavi_extracted/mayavi-master/examples/tvtk/visual/lorenz.py",
"type": "Python"
} | #!/usr/bin/env python
# Author: Raashid Baig <raashid@aero.iitb.ac.in>
# License: BSD Style.
from tvtk.tools.visual import curve, box, vector, show
lorenz = curve( color = (1,1,1), radius=0.3 )
# Draw grid
for x in range(0,51,10):
curve(points = [[x,0,-25],[x,0,25]], color = (0,0.5,0), radius = 0.3 )
box(po... | enthoughtREPO_NAMEmayaviPATH_START.@mayavi_extracted@mayavi-master@examples@tvtk@visual@lorenz.py@.PATH_END.py |
{
"filename": "spec_app.py",
"repo_name": "msiebert1/UCSC_spectral_pipeline",
"repo_path": "UCSC_spectral_pipeline_extracted/UCSC_spectral_pipeline-master/spectral_reduction/spec_app.py",
"type": "Python"
} | import io
from base64 import b64encode
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.express as px
if __name__ == "__main__":
buffer = io.StringIO()
df = px.data.iris()
fig = px.scatter(
df, x="sepal_width", y="se... | msiebert1REPO_NAMEUCSC_spectral_pipelinePATH_START.@UCSC_spectral_pipeline_extracted@UCSC_spectral_pipeline-master@spectral_reduction@spec_app.py@.PATH_END.py |
{
"filename": "population.py",
"repo_name": "deepskies/deeplenstronomy",
"repo_path": "deeplenstronomy_extracted/deeplenstronomy-master/exploded_setup_old/PopSim/population.py",
"type": "Python"
} | import numpy as np
import yaml
import os
config_dir = os.path.join(os.path.dirname(__file__),
'../../config_files/population/')
class Population:
def __int__(self):
pass
def load_yaml_file(self, file_name):
"""Loads configuration dictionary from yaml file"""
... | deepskiesREPO_NAMEdeeplenstronomyPATH_START.@deeplenstronomy_extracted@deeplenstronomy-master@exploded_setup_old@PopSim@population.py@.PATH_END.py |
{
"filename": "dbutils.py",
"repo_name": "sdss/marvin",
"repo_path": "marvin_extracted/marvin-main/python/marvin/utils/db/dbutils.py",
"type": "Python"
} |
import marvin
import traceback
import sys
import inspect
# This line makes sure that "from marvin.utils.db.dbutils import *"
# will only import the functions in the list.
__all__ = ['get_traceback', 'testDbConnection', 'generateClassDict']
def get_traceback(asstring=None):
''' Returns the traceback from an exce... | sdssREPO_NAMEmarvinPATH_START.@marvin_extracted@marvin-main@python@marvin@utils@db@dbutils.py@.PATH_END.py |
{
"filename": "_family.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/funnel/insidetextfont/_family.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="family", parent_name="funnel.insidetextfont", **kwargs
):
super(FamilyValidator, self).__init__(
plotly_name=plotly_name,
parent_nam... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@funnel@insidetextfont@_family.py@.PATH_END.py |
{
"filename": "testSharedElements.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/tests/unit/Mesh/testSharedElements.py",
"type": "Python"
} | import mpi
from Spheral2d import *
#----------------------------------------------------------------------
# Test that the shared nodes are consisten between domains.
#----------------------------------------------------------------------
def testSharedNodes(mesh):
assert len(mesh.neighborDomains) == len(mesh.shar... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@tests@unit@Mesh@testSharedElements.py@.PATH_END.py |
{
"filename": "[7]cluster mockup-checkpoint.ipynb",
"repo_name": "jan-rybizki/Galaxia_wrap",
"repo_path": "Galaxia_wrap_extracted/Galaxia_wrap-master/notebook/.ipynb_checkpoints/[7]cluster mockup-checkpoint.ipynb",
"type": "Jupyter Notebook"
} | ```python
from astropy.coordinates import SkyCoord, ICRS, CartesianRepresentation, CartesianDifferential, Galactic, Galactocentric
import astropy.units as u
from astropy.io import fits
%pylab inline
import ebf
import shutil
import subprocess
import os, sys
path = os.path.abspath('../library/')
if path not in sys.path:
... | jan-rybizkiREPO_NAMEGalaxia_wrapPATH_START.@Galaxia_wrap_extracted@Galaxia_wrap-master@notebook@.ipynb_checkpoints@[7]cluster mockup-checkpoint.ipynb@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/prompt-toolkit/py3/prompt_toolkit/filters/utils.py",
"type": "Python"
} | from __future__ import annotations
from .base import Always, Filter, FilterOrBool, Never
__all__ = [
"to_filter",
"is_true",
]
_always = Always()
_never = Never()
_bool_to_filter: dict[bool, Filter] = {
True: _always,
False: _never,
}
def to_filter(bool_or_filter: FilterOrBool) -> Filter:
""... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@prompt-toolkit@py3@prompt_toolkit@filters@utils.py@.PATH_END.py |
{
"filename": "inspect_ar_chi_cost_results.ipynb",
"repo_name": "tcallister/autoregressive-bbh-inference",
"repo_path": "autoregressive-bbh-inference_extracted/autoregressive-bbh-inference-main/data/inspect_ar_chi_cost_results.ipynb",
"type": "Jupyter Notebook"
} | ```python
import arviz as az
import matplotlib.pylab as plt
import matplotlib as mpl
mpl.style.use("./../figures/plotting.mplstyle")
import numpy as np
import h5py
import sys
sys.path.append('./../figures')
from makeCorner import plot_corner
sys.path.append('./../code/')
from utilities import *
```
Load the sumary f... | tcallisterREPO_NAMEautoregressive-bbh-inferencePATH_START.@autoregressive-bbh-inference_extracted@autoregressive-bbh-inference-main@data@inspect_ar_chi_cost_results.ipynb@.PATH_END.py |
{
"filename": "use_case_34_fix_blending.py",
"repo_name": "rpoleski/MulensModel",
"repo_path": "MulensModel_extracted/MulensModel-master/examples/use_cases/use_case_34_fix_blending.py",
"type": "Python"
} | """
use_case_34_fix_blending.py
Fix the blending for one observatory to a non-zero value.
This example is modeled after real-time fitting procedures, so the
input datasets are truncated.
For this event, the catalog star in KMT is I > 20. Thus, a fake blending flux
has been added so the baseline is I=20. Thus, for a ... | rpoleskiREPO_NAMEMulensModelPATH_START.@MulensModel_extracted@MulensModel-master@examples@use_cases@use_case_34_fix_blending.py@.PATH_END.py |
{
"filename": "remove_lines.py",
"repo_name": "icecube/toise",
"repo_path": "toise_extracted/toise-main/resources/scripts/2021_midscale/remove_lines.py",
"type": "Python"
} | import json
infile = "IceCubeHEX_Sunflower_240m_v3_ExtendedDepthRange.GCD.txt"
file = open(infile, "r")
# load the list of included strings
gsl = open("midscale_geos.json")
options = json.load(gsl)
gsl.close()
gen2_strings = options["corner"] # select the corner
for i, string in enumerate(gen2_strings):
gen2_str... | icecubeREPO_NAMEtoisePATH_START.@toise_extracted@toise-main@resources@scripts@2021_midscale@remove_lines.py@.PATH_END.py |
{
"filename": "serialize_executable.py",
"repo_name": "jax-ml/jax",
"repo_path": "jax_extracted/jax-main/jax/experimental/serialize_executable.py",
"type": "Python"
} | # Copyright 2018 The JAX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | jax-mlREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@experimental@serialize_executable.py@.PATH_END.py |
{
"filename": "distributed.py",
"repo_name": "jax-ml/jax",
"repo_path": "jax_extracted/jax-main/jax/_src/distributed.py",
"type": "Python"
} | # Copyright 2021 The JAX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | jax-mlREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@_src@distributed.py@.PATH_END.py |
{
"filename": "test_gp_priors.py",
"repo_name": "nanograv/enterprise",
"repo_path": "enterprise_extracted/enterprise-master/tests/test_gp_priors.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
test_gp_priors
----------------------------------
Tests for GP priors and bases.
"""
import unittest
import numpy as np
from tests.enterprise_test_data import datadir
from enterprise.pulsar import Pulsar
from enterprise.signals import parameter
from enterprise.sign... | nanogravREPO_NAMEenterprisePATH_START.@enterprise_extracted@enterprise-master@tests@test_gp_priors.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "sibirrer/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/test/test_LensModel/test_Profiles/__init__.py",
"type": "Python"
} | sibirrerREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@test@test_LensModel@test_Profiles@__init__.py@.PATH_END.py | |
{
"filename": "types_test.py",
"repo_name": "spotify/annoy",
"repo_path": "annoy_extracted/annoy-main/test/types_test.py",
"type": "Python"
} | # Copyright (c) 2013 Spotify AB
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy of
# the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... | spotifyREPO_NAMEannoyPATH_START.@annoy_extracted@annoy-main@test@types_test.py@.PATH_END.py |
{
"filename": "reionization.py",
"repo_name": "toshiyan/cmblensplus",
"repo_path": "cmblensplus_extracted/cmblensplus-master/utils/reionization.py",
"type": "Python"
} |
import numpy as np, tqdm
# from cmblensplus
import basic
# from cmblensplus/utils
import constant as c
# to avoid scipy constants use
from scipy.integrate import quad
from scipy.interpolate import InterpolatedUnivariateSpline as spline
def xHlogxH(xe):
if 1.-xe<1e-6:
return 0.
else:
return... | toshiyanREPO_NAMEcmblensplusPATH_START.@cmblensplus_extracted@cmblensplus-master@utils@reionization.py@.PATH_END.py |
{
"filename": "mean_weight_system_params.py",
"repo_name": "JamesKirk11/Tiberius",
"repo_path": "Tiberius_extracted/Tiberius-main/src/fitting_utils/mean_weight_system_params.py",
"type": "Python"
} | #### Author of this code: James Kirk
#### Contact: jameskirk@live.co.uk
from Tiberius.src.fitting_utils import plotting_utils as pu
import argparse
import numpy as np
import matplotlib.pyplot as plt
parser = argparse.ArgumentParser(description='Use this code to give you mean-weighted uncertainties from > 1 white ligh... | JamesKirk11REPO_NAMETiberiusPATH_START.@Tiberius_extracted@Tiberius-main@src@fitting_utils@mean_weight_system_params.py@.PATH_END.py |
{
"filename": "callback_list.py",
"repo_name": "fchollet/keras",
"repo_path": "keras_extracted/keras-master/keras/src/callbacks/callback_list.py",
"type": "Python"
} | import concurrent.futures
from keras.src import backend
from keras.src import tree
from keras.src import utils
from keras.src.api_export import keras_export
from keras.src.callbacks.callback import Callback
from keras.src.callbacks.history import History
from keras.src.callbacks.progbar_logger import ProgbarLogger
fro... | fcholletREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@callbacks@callback_list.py@.PATH_END.py |
{
"filename": "TestKernels.py",
"repo_name": "dokester/BayesicFitting",
"repo_path": "BayesicFitting_extracted/BayesicFitting-master/BayesicFitting/test/TestKernels.py",
"type": "Python"
} | # run with : python3 -m unittest TestKernels
import unittest
import os
import numpy as numpy
from astropy import units
import matplotlib.pyplot as plt
import warnings
from BayesicFitting import *
from BayesicFitting import formatter as fmt
__author__ = "Do Kester"
__year__ = 2017
__license__ = "GPL3"
__version__ = "... | dokesterREPO_NAMEBayesicFittingPATH_START.@BayesicFitting_extracted@BayesicFitting-master@BayesicFitting@test@TestKernels.py@.PATH_END.py |
{
"filename": "detector.py",
"repo_name": "lucabaldini/ixpeobssim",
"repo_path": "ixpeobssim_extracted/ixpeobssim-main/ixpeobssim/binning/detector.py",
"type": "Python"
} | # Copyright (C) 2015--2022, the ixpeobssim team.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
#
# This program is d... | lucabaldiniREPO_NAMEixpeobssimPATH_START.@ixpeobssim_extracted@ixpeobssim-main@ixpeobssim@binning@detector.py@.PATH_END.py |
{
"filename": "weighted_quantiles.py",
"repo_name": "TRASAL/frbpoppy",
"repo_path": "frbpoppy_extracted/frbpoppy-master/tests/monte_carlo/weighted_quantiles.py",
"type": "Python"
} | import numpy as np
def quantile_1D(data, weights, quantile):
"""
Compute the weighted quantile of a 1D numpy array.
Parameters
----------
data : ndarray
Input array (one dimension).
weights : ndarray
Array with the weights of the same size of `data`.
quantile : float
... | TRASALREPO_NAMEfrbpoppyPATH_START.@frbpoppy_extracted@frbpoppy-master@tests@monte_carlo@weighted_quantiles.py@.PATH_END.py |
{
"filename": "helpers.py",
"repo_name": "radio-astro-tools/spectral-cube",
"repo_path": "spectral-cube_extracted/spectral-cube-master/spectral_cube/tests/helpers.py",
"type": "Python"
} | from astropy import units as u
from numpy.testing import assert_allclose as assert_allclose_numpy, assert_array_equal
def assert_allclose(q1, q2, **kwargs):
"""
Quantity-safe version of Numpy's assert_allclose
"""
if isinstance(q1, u.Quantity) and isinstance(q2, u.Quantity):
assert_allclose_n... | radio-astro-toolsREPO_NAMEspectral-cubePATH_START.@spectral-cube_extracted@spectral-cube-master@spectral_cube@tests@helpers.py@.PATH_END.py |
{
"filename": "create_GCK_visits_table.py",
"repo_name": "rbuehler/vasca",
"repo_path": "vasca_extracted/vasca-main/vasca/examples/GALEX_DS_GCK/create_GCK_visits_table.py",
"type": "Python"
} | """
Create a complete list of all GALEX CAUSE Kepler survey visits.
This script reads all mcat files relative to the specified root data directory and
extracts relevant information from the FITS header. A combined list for all mcat files
is created. All required information is contained that VASCA field and visits tab... | rbuehlerREPO_NAMEvascaPATH_START.@vasca_extracted@vasca-main@vasca@examples@GALEX_DS_GCK@create_GCK_visits_table.py@.PATH_END.py |
{
"filename": "wendland.ipynb",
"repo_name": "j0r1/GRALE2",
"repo_path": "GRALE2_extracted/GRALE2-master/pygrale/doc/source/_static/wendland.ipynb",
"type": "Jupyter Notebook"
} | This notebook illustrates the [LensPerfect](http://adsabs.harvard.edu/abs/2008ApJ...681..814C) method
```python
%matplotlib inline
import grale.lenses as lenses
import grale.cosmology as cosmology
import grale.plotutil as plotutil
import grale.feedback as feedback
import grale.images as images
from grale.constants im... | j0r1REPO_NAMEGRALE2PATH_START.@GRALE2_extracted@GRALE2-master@pygrale@doc@source@_static@wendland.ipynb@.PATH_END.py |
{
"filename": "_minexponent.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/ternary/caxis/_minexponent.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MinexponentValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="minexponent", parent_name="layout.ternary.caxis", **kwargs
):
super(MinexponentValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@ternary@caxis@_minexponent.py@.PATH_END.py |
{
"filename": "TestEvidence.py",
"repo_name": "dokester/BayesicFitting",
"repo_path": "BayesicFitting_extracted/BayesicFitting-master/BayesicFitting/test/TestEvidence.py",
"type": "Python"
} | # run with : python3 -m unittest TestEvidence
import unittest
import os
import numpy as np
import math
from numpy.testing import assert_array_almost_equal as assertAAE
import matplotlib.pyplot as plt
from BayesicFitting import *
class TestEvidence( unittest.TestCase ) :
def __init__( self, testname ):
... | dokesterREPO_NAMEBayesicFittingPATH_START.@BayesicFitting_extracted@BayesicFitting-master@BayesicFitting@test@TestEvidence.py@.PATH_END.py |
{
"filename": "cosmo_interp.py",
"repo_name": "sibirrer/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/lenstronomy/Cosmo/cosmo_interp.py",
"type": "Python"
} | import astropy
from lenstronomy.Util.util import isiterable
if float(astropy.__version__[0]) < 5.0:
from astropy.cosmology.core import isiterable
DeprecationWarning(
"Astropy<5 is going to be deprecated soon. This is in combination with Python version<3.8."
"We recommend you to update astropy... | sibirrerREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@lenstronomy@Cosmo@cosmo_interp.py@.PATH_END.py |
{
"filename": "_line.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattergeo/marker/_line.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="line", parent_name="scattergeo.marker", **kwargs):
super(LineValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattergeo@marker@_line.py@.PATH_END.py |
{
"filename": "sparkllm.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/llms/sparkllm.py",
"type": "Python"
} | from __future__ import annotations
import base64
import hashlib
import hmac
import json
import logging
import queue
import threading
from datetime import datetime
from queue import Queue
from time import mktime
from typing import Any, Dict, Generator, Iterator, List, Optional
from urllib.parse import urlencode, urlpar... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@llms@sparkllm.py@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/scattercarpet/legendgrouptitle/_font.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Font(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "scattercarpet.legendgrouptitle"
_path_str = "scattercarpet.legendgrouptitle.font"
_valid_props... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@scattercarpet@legendgrouptitle@_font.py@.PATH_END.py |
{
"filename": "dynesty_plots.py",
"repo_name": "CarlosCoba/XookSuut-code",
"repo_path": "XookSuut-code_extracted/XookSuut-code-master/src/dynesty_plots.py",
"type": "Python"
} | import matplotlib.pylab as plt
from dynesty import plotting as dyplot
from src.axes_params import axes_ambient as AX
from matplotlib.gridspec import GridSpec
from matplotlib import gridspec
height, width = 18.0, 14 # width [cm]
cm_to_inch = 0.393701 # [inch/cm]
figWidth = width * cm_to_inch # width [inch]
figHeight = ... | CarlosCobaREPO_NAMEXookSuut-codePATH_START.@XookSuut-code_extracted@XookSuut-code-master@src@dynesty_plots.py@.PATH_END.py |
{
"filename": "wrapper_xspec_examples.py",
"repo_name": "atomdb/pyatomdb",
"repo_path": "pyatomdb_extracted/pyatomdb-master/pyatomdb/examples/wrapper_xspec_examples.py",
"type": "Python"
} | from apec_xspec import *
# declare a new model
# inital import creates pyapec, pyvapec, pyvvapec, analagous to apec, vapec, vvapec
m1 = xspec.Model('pyapec')
m1.show()
m1.pyapec.kT=5.0
# let's plot a spectrum
xspec.Plot.device='/xs'
xspec.Plot('model')
# you can fiddle with some aspects of the model directly
ci... | atomdbREPO_NAMEpyatomdbPATH_START.@pyatomdb_extracted@pyatomdb-master@pyatomdb@examples@wrapper_xspec_examples.py@.PATH_END.py |
{
"filename": "n2dp.py",
"repo_name": "vlas-sokolov/pyspecnest",
"repo_path": "pyspecnest_extracted/pyspecnest-master/pyspecnest/n2dp.py",
"type": "Python"
} | import os
import numpy as np
from .multiwrapper import Parameter, ModelContainer
# TODO: generalize it with the parameter names already present in pyspeckit!
def get_n2dp_model(sp, std_noise, priors=None, npeaks=1, **kwargs):
# initializing the model parameters
if priors is None:
# set up dummy priors... | vlas-sokolovREPO_NAMEpyspecnestPATH_START.@pyspecnest_extracted@pyspecnest-master@pyspecnest@n2dp.py@.PATH_END.py |
{
"filename": "logger.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/logger.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""This module defines a logging class based on the built-in logging module.
.. note::
This module is meant for internal ``astropy`` usage. For use in other
packages, we recommend implementing your own logger instead.
"""
import inspect
import ... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@logger.py@.PATH_END.py |
{
"filename": "_b0.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/contourcarpet/_b0.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class B0Validator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="b0", parent_name="contourcarpet", **kwargs):
super(B0Validator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@contourcarpet@_b0.py@.PATH_END.py |
{
"filename": "pannable_map.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/visualization/mapserver/pannable_map.py",
"type": "Python"
} | import os
from functools import wraps
import bottle
import numpy as np
from yt.fields.derived_field import ValidateSpatial
from yt.utilities.lib.misc_utilities import get_color_bounds
from yt.utilities.png_writer import write_png_to_string
from yt.visualization.fixed_resolution import FixedResolutionBuffer
from yt.vi... | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@visualization@mapserver@pannable_map.py@.PATH_END.py |
{
"filename": "_line.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/funnel/marker/_line.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Line(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "funnel.marker"
_path_str = "funnel.marker.line"
_valid_props = {
"autocolorscale",
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@funnel@marker@_line.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "plazar/TOASTER",
"repo_path": "TOASTER_extracted/TOASTER-master/webtoaster/oauthclient/management/commands/__init__.py",
"type": "Python"
} | plazarREPO_NAMETOASTERPATH_START.@TOASTER_extracted@TOASTER-master@webtoaster@oauthclient@management@commands@__init__.py@.PATH_END.py | |
{
"filename": "clusters_z6_study.py",
"repo_name": "ICRAR/shark",
"repo_path": "shark_extracted/shark-master/standard_plots/clusters_z6_study.py",
"type": "Python"
} | #
# ICRAR - International Centre for Radio Astronomy Research
# (c) UWA - The University of Western Australia, 2018
# Copyright by UWA (in the framework of the ICRAR)
#
# 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 Fre... | ICRARREPO_NAMEsharkPATH_START.@shark_extracted@shark-master@standard_plots@clusters_z6_study.py@.PATH_END.py |
{
"filename": "calc_tau_gas.py",
"repo_name": "Jingxuan97/nemesispy",
"repo_path": "nemesispy_extracted/nemesispy-main/nemesispy/radtran/calc_tau_gas.py",
"type": "Python"
} | #!/usr/local/bin/python3
# -*- coding: utf-8 -*-
"""
Calculate the optical path due to atomic and molecular lines.
The opacity of gases is calculated by the correlated-k method
using pre-tabulated ktables, assuming random overlap of lines.
"""
import numpy as np
from numba import jit
@jit(nopython=True)
def calc_tau_g... | Jingxuan97REPO_NAMEnemesispyPATH_START.@nemesispy_extracted@nemesispy-main@nemesispy@radtran@calc_tau_gas.py@.PATH_END.py |
{
"filename": "common.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/pyzmq/py2/zmq/eventloop/minitornado/platform/common.py",
"type": "Python"
} | """Lowest-common-denominator implementations of platform functionality."""
from __future__ import absolute_import, division, print_function, with_statement
import errno
import socket
from . import interface
class Waker(interface.Waker):
"""Create an OS independent asynchronous pipe.
For use on platforms th... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@pyzmq@py2@zmq@eventloop@minitornado@platform@common.py@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/hoverlabel/_font.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="font", parent_name="layout.hoverlabel", **kwargs):
super(FontValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@hoverlabel@_font.py@.PATH_END.py |
{
"filename": "_showticksuffix.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/surface/colorbar/_showticksuffix.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="showticksuffix", parent_name="surface.colorbar", **kwargs
):
super(ShowticksuffixValidator, self).__init__(
plotly_name=plotly_name,... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@surface@colorbar@_showticksuffix.py@.PATH_END.py |
{
"filename": "root_handler.py",
"repo_name": "threeML/hawc_hal",
"repo_path": "hawc_hal_extracted/hawc_hal-master/hawc_hal/root_handler.py",
"type": "Python"
} | # This module handle the importing of ROOT
# only use in methods that actually need ROOT
# NOTE:Moving to uproot to remove all ROOT dependencies given that support
# for root-numpy has stopped
# import ROOT
# ROOT.PyConfig.IgnoreCommandLineOptions = True
# from ROOT import TEntryList
# from threeML.io.cern_root_util... | threeMLREPO_NAMEhawc_halPATH_START.@hawc_hal_extracted@hawc_hal-master@hawc_hal@root_handler.py@.PATH_END.py |
{
"filename": "test_version.py",
"repo_name": "transientskp/tkp",
"repo_path": "tkp_extracted/tkp-master/tests/test_database/test_version.py",
"type": "Python"
} | import unittest
from tkp.db.model import Version, SCHEMA_VERSION
from tkp.db.database import Database
from tkp.testutil.decorators import database_disabled
class TestVersion(unittest.TestCase):
def setUp(self):
# Can't use a regular skip here, due to a Nose bug:
# https://github.com/nose-devs/nose... | transientskpREPO_NAMEtkpPATH_START.@tkp_extracted@tkp-master@tests@test_database@test_version.py@.PATH_END.py |
{
"filename": "particle_xy_plot.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/doc/source/cookbook/particle_xy_plot.py",
"type": "Python"
} | import yt
# load the dataset
ds = yt.load("IsolatedGalaxy/galaxy0030/galaxy0030")
# create our plot
p = yt.ParticlePlot(
ds,
("all", "particle_position_x"),
("all", "particle_position_y"),
("all", "particle_mass"),
width=(0.5, 0.5),
)
# pick some appropriate units
p.set_axes_unit("kpc")
p.set_uni... | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@doc@source@cookbook@particle_xy_plot.py@.PATH_END.py |
{
"filename": "test_lookfor.py",
"repo_name": "scikit-image/scikit-image",
"repo_path": "scikit-image_extracted/scikit-image-main/skimage/util/tests/test_lookfor.py",
"type": "Python"
} | import skimage as ski
def test_lookfor_basic(capsys):
assert ski.lookfor is ski.util.lookfor
ski.util.lookfor("regionprops")
search_results = capsys.readouterr().out
assert "skimage.measure.regionprops" in search_results
assert "skimage.measure.regionprops_table" in search_results
| scikit-imageREPO_NAMEscikit-imagePATH_START.@scikit-image_extracted@scikit-image-main@skimage@util@tests@test_lookfor.py@.PATH_END.py |
{
"filename": "test_aggregator.py",
"repo_name": "rhayes777/PyAutoFit",
"repo_path": "PyAutoFit_extracted/PyAutoFit-main/test_autofit/aggregator/test_aggregator.py",
"type": "Python"
} | def test_completed_aggregator(
aggregator
):
aggregator = aggregator(
aggregator.search.is_complete
)
assert len(aggregator) == 1
class TestLoading:
def test_unzip(self, aggregator):
assert len(aggregator) == 2
def test_pickles(self, aggregator):
assert list(aggreg... | rhayes777REPO_NAMEPyAutoFitPATH_START.@PyAutoFit_extracted@PyAutoFit-main@test_autofit@aggregator@test_aggregator.py@.PATH_END.py |
{
"filename": "_weight.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/font/_weight.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WeightValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self,
plotly_name="weight",
parent_name="layout.scene.yaxis.title.font",
**kwargs,
):
super(WeightValidator, self).__init__(
plotly_name=p... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@scene@yaxis@title@font@_weight.py@.PATH_END.py |
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