metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "tutorial1.ipynb",
"repo_name": "nanograv/la_forge",
"repo_path": "la_forge_extracted/la_forge-main/docs/_static/notebooks/tutorial1.ipynb",
"type": "Jupyter Notebook"
} | # Tutorial #1 Basic Core Usage
```python
import la_forge.core as co
import matplotlib.pyplot as plt
%matplotlib inline
%config InlineBackend.figure_format = 'retina'
import numpy as np
import json
```
## Loading a Chain Directory
```python
chaindir = '/Users/hazboun/software_development/la_forge/tests/data/chains/... | nanogravREPO_NAMEla_forgePATH_START.@la_forge_extracted@la_forge-main@docs@_static@notebooks@tutorial1.ipynb@.PATH_END.py |
{
"filename": "_visible.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/sankey/_visible.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="visible", parent_name="sankey", **kwargs):
super(VisibleValidator, 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@sankey@_visible.py@.PATH_END.py |
{
"filename": "2.BAT_Data_Download.ipynb",
"repo_name": "KenethGarcia/ClassiPyGRB",
"repo_path": "ClassiPyGRB_extracted/ClassiPyGRB-master/docs/2.BAT_Data_Download.ipynb",
"type": "Jupyter Notebook"
} | _This notebook was developed by [Keneth Garcia](https://www.linkedin.com/in/keneth-garcia-a6305b1b9/). Source and license info are on [GitHub](https://github.com/KenethGarcia/ClassiPyGRB)._
# Swift Data Download
Results for the Swift/BAT Gamma-Ray Burst (GRBs) on board of The Neil Gehrels Swift Observatory are present... | KenethGarciaREPO_NAMEClassiPyGRBPATH_START.@ClassiPyGRB_extracted@ClassiPyGRB-master@docs@2.BAT_Data_Download.ipynb@.PATH_END.py |
{
"filename": "waveforms.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py2/scipy/signal/waveforms.py",
"type": "Python"
} | # Author: Travis Oliphant
# 2003
#
# Feb. 2010: Updated by Warren Weckesser:
# Rewrote much of chirp()
# Added sweep_poly()
from __future__ import division, print_function, absolute_import
import numpy as np
from numpy import asarray, zeros, place, nan, mod, pi, extract, log, sqrt, \
exp, cos, sin, polyval, po... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py2@scipy@signal@waveforms.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "karllark/measure_extinction",
"repo_path": "measure_extinction_extracted/measure_extinction-master/measure_extinction/__init__.py",
"type": "Python"
} | from importlib.metadata import version as _version, PackageNotFoundError
try:
__version__ = _version(__name__)
except PackageNotFoundError:
pass
| karllarkREPO_NAMEmeasure_extinctionPATH_START.@measure_extinction_extracted@measure_extinction-master@measure_extinction@__init__.py@.PATH_END.py |
{
"filename": "redcal_inspect_2458144.ipynb",
"repo_name": "HERA-Team/H1C_IDR3_Notebooks",
"repo_path": "H1C_IDR3_Notebooks-main/redcal_inspect/redcal_inspect_2458144.ipynb",
"type": "Jupyter Notebook"
} | # Stage 2 Redundant Calibration Nightly Notebook
**Josh Dillon**, Last Revised 7/30/20
```python
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
from hera_cal import io, redcal, apply_cal
from hera_qm.metrics_io import load_metric_file
import glob
import os
from copy import deepcopy
import inspe... | HERA-TeamREPO_NAMEH1C_IDR3_NotebooksPATH_START.@H1C_IDR3_Notebooks-main@redcal_inspect@redcal_inspect_2458144.ipynb@.PATH_END.py |
{
"filename": "fitForSpecifiedNumberOfLineSegments_standard_deviation.py",
"repo_name": "cjekel/piecewise_linear_fit_py",
"repo_path": "piecewise_linear_fit_py_extracted/piecewise_linear_fit_py-master/examples/fitForSpecifiedNumberOfLineSegments_standard_deviation.py",
"type": "Python"
} | # fit for a specified number of line segments
# you specify the number of line segments you want, the library does the rest
# import our libraries
import numpy as np
import matplotlib.pyplot as plt
import pwlf
# your data
y = np.array([0.00000000e+00, 9.69801700e-03, 2.94350340e-02,
4.39052750e-02, 5.45... | cjekelREPO_NAMEpiecewise_linear_fit_pyPATH_START.@piecewise_linear_fit_py_extracted@piecewise_linear_fit_py-master@examples@fitForSpecifiedNumberOfLineSegments_standard_deviation.py@.PATH_END.py |
{
"filename": "_end.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/histogram2d/xbins/_end.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class EndValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="end", parent_name="histogram2d.xbins", **kwargs):
super(EndValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edi... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@histogram2d@xbins@_end.py@.PATH_END.py |
{
"filename": "_column.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/polar/domain/_column.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="column", parent_name="layout.polar.domain", **kwargs
):
super(ColumnValidator, self).__init__(
plotly_name=plotly_name,
parent_name... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@polar@domain@_column.py@.PATH_END.py |
{
"filename": "_widthsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/histogram/marker/line/_widthsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="widthsrc", parent_name="histogram.marker.line", **kwargs
):
super(WidthsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@histogram@marker@line@_widthsrc.py@.PATH_END.py |
{
"filename": "timestrings.py",
"repo_name": "CMB-S4/spt3g_software",
"repo_path": "spt3g_software_extracted/spt3g_software-master/core/tests/timestrings.py",
"type": "Python"
} | #!/usr/bin/env python
from spt3g import core
import time, sys
# Check round trips
assert(str(core.G3Time('20170101_000000')) == '01-Jan-2017:00:00:00.000000000')
assert(str(core.G3Time('01-Jan-2017:00:00:00')) == '01-Jan-2017:00:00:00.000000000')
assert(str(core.G3Time('170101_000000')) == '01-Jan-2017:00:00:00.00000... | CMB-S4REPO_NAMEspt3g_softwarePATH_START.@spt3g_software_extracted@spt3g_software-master@core@tests@timestrings.py@.PATH_END.py |
{
"filename": "_legendrank.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/bar/_legendrank.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LegendrankValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="legendrank", parent_name="bar", **kwargs):
super(LegendrankValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@bar@_legendrank.py@.PATH_END.py |
{
"filename": "_size.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattermapbox/cluster/_size.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="size", parent_name="scattermapbox.cluster", **kwargs
):
super(SizeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=pare... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattermapbox@cluster@_size.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "prajwel/curvit",
"repo_path": "curvit_extracted/curvit-main/docs/conf.py",
"type": "Python"
} | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | prajwelREPO_NAMEcurvitPATH_START.@curvit_extracted@curvit-main@docs@conf.py@.PATH_END.py |
{
"filename": "test_astar.py",
"repo_name": "lucabaldini/ixpeobssim",
"repo_path": "ixpeobssim_extracted/ixpeobssim-main/tests/test_astar.py",
"type": "Python"
} | #!/usr/bin/env python
#
# Copyright (C) 2020, 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.
#
#... | lucabaldiniREPO_NAMEixpeobssimPATH_START.@ixpeobssim_extracted@ixpeobssim-main@tests@test_astar.py@.PATH_END.py |
{
"filename": "sharding_policies_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/checkpoint/sharding/sharding_policies_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@checkpoint@sharding@sharding_policies_test.py@.PATH_END.py |
{
"filename": "master_flat.py",
"repo_name": "JamesKirk11/Tiberius",
"repo_path": "Tiberius_extracted/Tiberius-main/src/reduction_utils/master_flat.py",
"type": "Python"
} | #### Author of this code: James Kirk
#### Contact: jameskirk@live.co.uk
import matplotlib.pyplot as plt
from astropy.io import fits
import numpy as np
import argparse
from scipy.signal import medfilt
from scipy.ndimage import filters
from scipy.stats import median_abs_deviation as mad
import pickle
# Prevent matplotl... | JamesKirk11REPO_NAMETiberiusPATH_START.@Tiberius_extracted@Tiberius-main@src@reduction_utils@master_flat.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "simonsobs/nextline-schedule",
"repo_path": "nextline-schedule_extracted/nextline-schedule-main/src/nextline_schedule/schema/auto/__init__.py",
"type": "Python"
} | __all__ = [
'MutationScheduleAutoMode',
'QueryScheduleAutoMode',
'subscribe_auto_mode_mode',
'subscribe_auto_mode_state',
]
from .mutation import MutationScheduleAutoMode
from .query import QueryScheduleAutoMode
from .subscription import subscribe_auto_mode_mode, subscribe_auto_mode_state
| simonsobsREPO_NAMEnextline-schedulePATH_START.@nextline-schedule_extracted@nextline-schedule-main@src@nextline_schedule@schema@auto@__init__.py@.PATH_END.py |
{
"filename": "cross_grad_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/kernel_tests/math_ops/cross_grad_test.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@kernel_tests@math_ops@cross_grad_test.py@.PATH_END.py |
{
"filename": "ACCEL_sift.py",
"repo_name": "CHIME-Pulsar-Timing/CHIME-Pulsar_automated_filterbank",
"repo_path": "CHIME-Pulsar_automated_filterbank_extracted/CHIME-Pulsar_automated_filterbank-main/presto_without_presto/sifting_edits/ACCEL_sift.py",
"type": "Python"
} | from builtins import map
import re
import glob
import presto.sifting as sifting
from operator import itemgetter, attrgetter
# Note: You will almost certainly want to adjust
# the following variables for your particular search
# glob for ACCEL files
globaccel = "*ACCEL_*"
# glob for .inf files
globinf = "*DM*.... | CHIME-Pulsar-TimingREPO_NAMECHIME-Pulsar_automated_filterbankPATH_START.@CHIME-Pulsar_automated_filterbank_extracted@CHIME-Pulsar_automated_filterbank-main@presto_without_presto@sifting_edits@ACCEL_sift.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "adrn/thejoker",
"repo_path": "thejoker_extracted/thejoker-main/thejoker/__init__.py",
"type": "Python"
} | from ._version import version as __version__
from .data import RVData
from .plot import plot_phase_fold, plot_rv_curves
from .prior import JokerPrior
from .samples import JokerSamples
from .samples_analysis import (
MAP_sample,
is_P_Kmodal,
is_P_unimodal,
max_phase_gap,
periods_spanned,
phase_co... | adrnREPO_NAMEthejokerPATH_START.@thejoker_extracted@thejoker-main@thejoker@__init__.py@.PATH_END.py |
{
"filename": "modeling.py",
"repo_name": "sdss/mangadap",
"repo_path": "mangadap_extracted/mangadap-main/mangadap/util/modeling.py",
"type": "Python"
} | """
Module with generic functions used when modeling data.
----
.. include license and copyright
.. include:: ../include/copy.rst
----
.. include common links, assuming primary doc root is up one directory
.. include:: ../include/links.rst
"""
import numpy
from .filter import BoxcarFilter
def reject_residuals_1d(... | sdssREPO_NAMEmangadapPATH_START.@mangadap_extracted@mangadap-main@mangadap@util@modeling.py@.PATH_END.py |
{
"filename": "hydro_shocks_hllc.py",
"repo_name": "PrincetonUniversity/athena",
"repo_path": "athena_extracted/athena-master/tst/regression/scripts/tests/sr/hydro_shocks_hllc.py",
"type": "Python"
} | # Test script for relativistic hydro shock tubes with HLLC
# Modules
import logging
import numpy as np
import sys
import scripts.utils.athena as athena
import scripts.utils.comparison as comparison
sys.path.insert(0, '../../vis/python')
import athena_read # noqa
athena_read.check_nan_flag = True
logger = logging.getL... | PrincetonUniversityREPO_NAMEathenaPATH_START.@athena_extracted@athena-master@tst@regression@scripts@tests@sr@hydro_shocks_hllc.py@.PATH_END.py |
{
"filename": "stage_utils.py",
"repo_name": "LCOGT/banzai",
"repo_path": "banzai_extracted/banzai-main/banzai/utils/stage_utils.py",
"type": "Python"
} | from banzai.utils import import_utils
from banzai.context import Context
from banzai.logs import get_logger
logger = get_logger()
def get_stages_for_individual_frame(ordered_stages, last_stage=None, extra_stages=None):
"""
Parameters
----------
ordered_stages: list of banzai.stages.Stage objects
... | LCOGTREPO_NAMEbanzaiPATH_START.@banzai_extracted@banzai-main@banzai@utils@stage_utils.py@.PATH_END.py |
{
"filename": "fft.py",
"repo_name": "thomasorb/orb",
"repo_path": "orb_extracted/orb-master/orb/utils/fft.py",
"type": "Python"
} | #!/usr/bin/python
# *-* coding: utf-8 *-*
# Author: Thomas Martin <thomas.martin.1@ulaval.ca>
# File: fft.py
## Copyright (c) 2010-2020 Thomas Martin <thomas.martin.1@ulaval.ca>
##
## This file is part of ORB
##
## ORB is free software: you can redistribute it and/or modify it
## under the terms of the GNU General Pu... | thomasorbREPO_NAMEorbPATH_START.@orb_extracted@orb-master@orb@utils@fft.py@.PATH_END.py |
{
"filename": "tools.py",
"repo_name": "dlinssen/sunbather",
"repo_path": "sunbather_extracted/sunbather-main/src/tools.py",
"type": "Python"
} | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import os
import glob
import re
from shutil import copyfile
from scipy.interpolate import interp1d
from scipy.signal import savgol_filter
import scipy.stats as sps
from scipy.ndimage import gaussian_filter1d
from fractions import Fraction
import war... | dlinssenREPO_NAMEsunbatherPATH_START.@sunbather_extracted@sunbather-main@src@tools.py@.PATH_END.py |
{
"filename": "KineticEnergyEquation.py",
"repo_name": "mmicromegas/ransX",
"repo_path": "ransX_extracted/ransX-master/EQUATIONS/KineticEnergyEquation.py",
"type": "Python"
} | import numpy as np
import matplotlib.pyplot as plt
from UTILS.Calculus import Calculus
from UTILS.SetAxisLimit import SetAxisLimit
from UTILS.Tools import Tools
from UTILS.Errors import Errors
import sys
# Theoretical background https://arxiv.org/abs/1401.5176
# Mocak, Meakin, Viallet, Arnett, 2014, Compressible Hyd... | mmicromegasREPO_NAMEransXPATH_START.@ransX_extracted@ransX-master@EQUATIONS@KineticEnergyEquation.py@.PATH_END.py |
{
"filename": "sgilink.py",
"repo_name": "duvall3/rat-pac",
"repo_path": "rat-pac_extracted/rat-pac-master/python/SCons/Tool/sgilink.py",
"type": "Python"
} | """SCons.Tool.sgilink
Tool-specific initialization for the SGI MIPSPro linker on SGI.
There normally shouldn't be any need to import this module directly.
It will usually be imported through the generic SCons.Tool.Tool()
selection method.
"""
#
# Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009 Th... | duvall3REPO_NAMErat-pacPATH_START.@rat-pac_extracted@rat-pac-master@python@SCons@Tool@sgilink.py@.PATH_END.py |
{
"filename": "modindex.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/pythran/pythran/optimizations/modindex.py",
"type": "Python"
} | ''' Simplify modulo computation based on index'''
from pythran.analyses import UseDefChains, Ancestors, Aliases, RangeValues
from pythran.analyses import Identifiers
from pythran.passmanager import Transformation
from pythran.tables import MODULES
import gast as ast
from copy import deepcopy
class ModIndex(Transfor... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@pythran@pythran@optimizations@modindex.py@.PATH_END.py |
{
"filename": "const_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/compiler/tests/const_test.py",
"type": "Python"
} | # Copyright 2022 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@compiler@tests@const_test.py@.PATH_END.py |
{
"filename": "LICENSE.md",
"repo_name": "anastasia-tsvetkova/lc_pulse_avalanche",
"repo_path": "lc_pulse_avalanche_extracted/lc_pulse_avalanche-master/LICENSE.md",
"type": "Markdown"
} | The MIT License (MIT)
Copyright (c) 2021 Anastasia Tsvetkova
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, mer... | anastasia-tsvetkovaREPO_NAMElc_pulse_avalanchePATH_START.@lc_pulse_avalanche_extracted@lc_pulse_avalanche-master@LICENSE.md@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "bradkav/verne",
"repo_path": "verne_extracted/verne-master/plotting/utils.py",
"type": "Python"
} | #Code for scientific number formatting...
import numpy as np
def sciformat(x,decimals=0):
n = np.floor(np.log10(x))
m = round(x*(10.0**(-n)))
str1 = ""
if (m > 1.001):
str1 = r'$%d \times ' % (m,)
str2 = r'10^{%d}$' % n
else:
str2 = r'$10^{%d}$' % n
return str1 + str2
... | bradkavREPO_NAMEvernePATH_START.@verne_extracted@verne-master@plotting@utils.py@.PATH_END.py |
{
"filename": "GWsignal.ipynb",
"repo_name": "DMGW-Goethe/imripy",
"repo_path": "imripy_extracted/imripy-main/dissertation/GWsignal.ipynb",
"type": "Jupyter Notebook"
} | ```python
import numpy as np
import matplotlib.pyplot as plt
from imripy import constants as c, merger_system as ms, halo, inspiral, waveform, detector, plot_utils as pu, kepler
import plotting
```
This notebook shows an example of the GW signal that an inspiral can emit. It takes two different inspiral, one at lower ... | DMGW-GoetheREPO_NAMEimripyPATH_START.@imripy_extracted@imripy-main@dissertation@GWsignal.ipynb@.PATH_END.py |
{
"filename": "precisionStatistic.py",
"repo_name": "JxnuLin/GDSolver",
"repo_path": "GDSolver_extracted/GDSolver-main/GDSolver/mylib/precisionStatistic.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import sys ,os
sys.path.append("..")
import GDSolver.mylib.ioFile_ReadO_C as ioFile
import GDSolver.mylib.utils as cons
import statistics as stat
import numpy as np
OUTPUT_PATH=os.path.dirname(__file__) +'/mutualAppximationResults/'
inputFileName='38_38_Ref_very_17_c1_pickSameStar.txt'
MA... | JxnuLinREPO_NAMEGDSolverPATH_START.@GDSolver_extracted@GDSolver-main@GDSolver@mylib@precisionStatistic.py@.PATH_END.py |
{
"filename": "kde.py",
"repo_name": "igomezv/simplemc_tests",
"repo_path": "simplemc_tests_extracted/simplemc_tests-main/simplemc/analyzers/emcee/moves/kde.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import numpy as np
from .red_blue import RedBlueMove
try:
from scipy.stats import gaussian_kde
except ImportError:
gaussian_kde = None
__all__ = ["KDEMove"]
class KDEMove(RedBlueMove):
"""A proposal using a KDE of the complementary ensemble
This is a simplified version of... | igomezvREPO_NAMEsimplemc_testsPATH_START.@simplemc_tests_extracted@simplemc_tests-main@simplemc@analyzers@emcee@moves@kde.py@.PATH_END.py |
{
"filename": "six.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/astropy/extern/six.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
Handle loading six package from system or from the bundled copy
"""
import imp
from distutils.version import StrictVersion
_SIX_MIN_VERSION = StrictVersion('1.10.0')
# Update this to prevent Astropy from using its bundled copy of six
# (but only i... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@astropy@extern@six.py@.PATH_END.py |
{
"filename": "quasar_catalogue.py",
"repo_name": "igmhub/picca",
"repo_path": "picca_extracted/picca-master/py/picca/delta_extraction/quasar_catalogue.py",
"type": "Python"
} | """This module defines the abstract class QuasarCatalogue from which all
classes loading quasar catalogues must inherit
"""
import healpy
import numpy as np
from picca.delta_extraction.errors import QuasarCatalogueError
accepted_options = ["lambda max", "lambda max rest frame", "lambda min",
"lamb... | igmhubREPO_NAMEpiccaPATH_START.@picca_extracted@picca-master@py@picca@delta_extraction@quasar_catalogue.py@.PATH_END.py |
{
"filename": "timeseries.py",
"repo_name": "gwastro/pycbc",
"repo_path": "pycbc_extracted/pycbc-master/examples/noise/timeseries.py",
"type": "Python"
} | import matplotlib.pyplot as pp
import pycbc.noise
import pycbc.psd
# The color of the noise matches a PSD which you provide
flow = 30.0
delta_f = 1.0 / 16
flen = int(2048 / delta_f) + 1
psd = pycbc.psd.aLIGOZeroDetHighPower(flen, delta_f, flow)
# Generate 32 seconds of noise at 4096 Hz
delta_t = 1.0 / 4096
tsamples ... | gwastroREPO_NAMEpycbcPATH_START.@pycbc_extracted@pycbc-master@examples@noise@timeseries.py@.PATH_END.py |
{
"filename": "_opacityscale.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/volume/_opacityscale.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class OpacityscaleValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="opacityscale", parent_name="volume", **kwargs):
super(OpacityscaleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@volume@_opacityscale.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/indexes/__init__.py",
"type": "Python"
} | """**Index** is used to avoid writing duplicated content
into the vectostore and to avoid over-writing content if it's unchanged.
Indexes also :
* Create knowledge graphs from data.
* Support indexing workflows from LangChain data loaders to vectorstores.
Importantly, Index keeps on working even if the content bein... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@indexes@__init__.py@.PATH_END.py |
{
"filename": "test_utils.py",
"repo_name": "jiffyclub/palettable",
"repo_path": "palettable_extracted/palettable-master/palettable/test/test_utils.py",
"type": "Python"
} | from __future__ import absolute_import
import inspect
import pytest
from .. import utils
from ..mycarta import mycarta
def test_round_as_py3():
assert utils.round_as_py3(2.2) == 2.0
assert utils.round_as_py3(2.5) == 2.0
assert utils.round_as_py3(2.6) == 3.0
assert utils.round_as_py3(3.5) == 4.0
@... | jiffyclubREPO_NAMEpalettablePATH_START.@palettable_extracted@palettable-master@palettable@test@test_utils.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/histogram2dcontour/colorbar/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._tickfont import Tickfont
from ._tickformatstop import Tickformatstop
from ._title import Title
from . import title
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@histogram2dcontour@colorbar@__init__.py@.PATH_END.py |
{
"filename": "testMpiSphere.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/tests/unit/NodeGenerators/testMpiSphere.py",
"type": "Python"
} | from math import *
from Spheral import Vector3d
from Spheral import Tensor3d
from Spheral import SymTensor3d
from Spheral import vector_of_int, vector_of_double, vector_of_SymTensor3d, vector_of_vector_of_double
import mpi
rank = mpi.rank
procs = mpi.procs
positions = []
nshell = 1000
if (nshell>procs and procs>1)... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@tests@unit@NodeGenerators@testMpiSphere.py@.PATH_END.py |
{
"filename": "plasma_factory.py",
"repo_name": "PlasmaPy/PlasmaPy",
"repo_path": "PlasmaPy_extracted/PlasmaPy-main/src/plasmapy/plasma/plasma_factory.py",
"type": "Python"
} | """
Module for defining the framework around the plasma factory.
.. attention::
|expect-api-changes|
"""
__all__ = ["PlasmaFactory", "Plasma"]
from plasmapy.plasma.plasma_base import GenericPlasma
from plasmapy.utils.datatype_factory_base import BasicRegistrationFactory
class PlasmaFactory(BasicRegistrationFac... | PlasmaPyREPO_NAMEPlasmaPyPATH_START.@PlasmaPy_extracted@PlasmaPy-main@src@plasmapy@plasma@plasma_factory.py@.PATH_END.py |
{
"filename": "preprocess.ipynb",
"repo_name": "florian-lienhard/MM-LSD",
"repo_path": "MM-LSD_extracted/MM-LSD-main/notebooks/preprocess.ipynb",
"type": "Jupyter Notebook"
} | ```python
import numpy as np
from astropy.io import fits
import matplotlib.pyplot as plt
import sys
import glob
import subprocess
import os
import pandas as pd
import subprocess
from scipy import interpolate
from scipy.interpolate import InterpolatedUnivariateSpline,CubicSpline,UnivariateSpline,LSQUnivariateSpline
from... | florian-lienhardREPO_NAMEMM-LSDPATH_START.@MM-LSD_extracted@MM-LSD-main@notebooks@preprocess.ipynb@.PATH_END.py |
{
"filename": "_coloraxis.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/choroplethmap/_coloraxis.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
def __init__(self, plotly_name="coloraxis", parent_name="choroplethmap", **kwargs):
super(ColoraxisValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@choroplethmap@_coloraxis.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "igrins/plp",
"repo_path": "plp_extracted/plp-master/igrins/storage_interface/__init__.py",
"type": "Python"
} | igrinsREPO_NAMEplpPATH_START.@plp_extracted@plp-master@igrins@storage_interface@__init__.py@.PATH_END.py | |
{
"filename": "MeanOrbit.py",
"repo_name": "wmpg/WesternMeteorPyLib",
"repo_path": "WesternMeteorPyLib_extracted/WesternMeteorPyLib-master/wmpl/Utils/MeanOrbit.py",
"type": "Python"
} | """ Functions for calculating mean orbital parameters from a given list of orbits.
Functions courtesy of Pete Gural and Ivica Skokic.
"""
from __future__ import print_function, division, absolute_import
import numpy as np
# Predefined standard epochs
JDE_B1900 = 2415020.3135
JDE_B1950 = 2433282.4235
JDE_J200... | wmpgREPO_NAMEWesternMeteorPyLibPATH_START.@WesternMeteorPyLib_extracted@WesternMeteorPyLib-master@wmpl@Utils@MeanOrbit.py@.PATH_END.py |
{
"filename": "fused_batch_norm.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/lite/testing/op_tests/fused_batch_norm.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@fused_batch_norm.py@.PATH_END.py |
{
"filename": "cached.py",
"repo_name": "tslearn-team/tslearn",
"repo_path": "tslearn_extracted/tslearn-main/tslearn/datasets/cached.py",
"type": "Python"
} | import numpy
import os
class CachedDatasets:
"""A convenience class to access cached time series datasets.
Note, that these *cached datasets* are statically included into *tslearn*
and are distinct from the ones in :class:`UCR_UEA_datasets`.
When using the Trace dataset, please cite [1]_.
See Al... | tslearn-teamREPO_NAMEtslearnPATH_START.@tslearn_extracted@tslearn-main@tslearn@datasets@cached.py@.PATH_END.py |
{
"filename": "_showscale.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/bar/marker/_showscale.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="showscale", parent_name="bar.marker", **kwargs):
super(ShowscaleValidator, 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@bar@marker@_showscale.py@.PATH_END.py |
{
"filename": "ndarray_conversion.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/numpy/py3/numpy/typing/tests/data/pass/ndarray_conversion.py",
"type": "Python"
} | import os
import tempfile
import numpy as np
nd = np.array([[1, 2], [3, 4]])
scalar_array = np.array(1)
# item
scalar_array.item()
nd.item(1)
nd.item(0, 1)
nd.item((0, 1))
# tolist is pretty simple
# itemset
scalar_array.itemset(3)
nd.itemset(3, 0)
nd.itemset((0, 0), 3)
# tobytes
nd.tobytes()
nd.tobytes("C")
nd.t... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@numpy@py3@numpy@typing@tests@data@pass@ndarray_conversion.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "oliverphilcox/HADES",
"repo_path": "HADES_extracted/HADES-master/hades/README.md",
"type": "Markdown"
} | # HADES
A Hexadecapolar Analysis for Dust Estimation in Simulations (for CMB B-mode polarisation maps) - Project with Blake Sherwin
| oliverphilcoxREPO_NAMEHADESPATH_START.@HADES_extracted@HADES-master@hades@README.md@.PATH_END.py |
{
"filename": "signal_SpectralAnalysis_PeriodogramWelch.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/doc/source/tutorial/examples/signal_SpectralAnalysis_PeriodogramWelch.py",
"type": "Python"
} | import matplotlib.pyplot as plt
import numpy as np
import scipy.signal as signal
rng = np.random.default_rng(73625) # seeding for reproducibility
fs, n = 10e3, 10_000
f_x, noise_power = 1270, 1e-3 * fs / 2
t = np.arange(n) / fs
x = (np.sqrt(2) * np.sin(2 * np.pi * f_x * t) +
rng.normal(scale=np.sqrt(noise_power... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@doc@source@tutorial@examples@signal_SpectralAnalysis_PeriodogramWelch.py@.PATH_END.py |
{
"filename": "DynamicMassFit.py",
"repo_name": "wmpg/WesternMeteorPyLib",
"repo_path": "WesternMeteorPyLib_extracted/WesternMeteorPyLib-master/wmpl/Utils/DynamicMassFit.py",
"type": "Python"
} | import os
import numpy as np
import scipy.optimize
import matplotlib.pyplot as plt
from matplotlib.pyplot import cm
from wmpl.Utils.AtmosphereDensity import fitAtmPoly
from wmpl.Utils.Math import lineFunc
from wmpl.Utils.TrajConversions import cartesian2Geo
from wmpl.Utils.Physics import dynamicMass
from wmpl.Utils.P... | wmpgREPO_NAMEWesternMeteorPyLibPATH_START.@WesternMeteorPyLib_extracted@WesternMeteorPyLib-master@wmpl@Utils@DynamicMassFit.py@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "pcubillos/mc3",
"repo_path": "mc3_extracted/mc3-master/mc3/utils/utils.py",
"type": "Python"
} | # Copyright (c) 2015-2023 Patricio Cubillos and contributors.
# mc3 is open-source software under the MIT license (see LICENSE).
__all__ = [
'ROOT',
'parray',
'saveascii',
'loadascii',
'savebin',
'loadbin',
'isfile',
'burn',
'default_parnames',
'tex_parameters',
]
from decimal ... | pcubillosREPO_NAMEmc3PATH_START.@mc3_extracted@mc3-master@mc3@utils@utils.py@.PATH_END.py |
{
"filename": "random_fields.py",
"repo_name": "sheydenreich/threepoint",
"repo_path": "threepoint_extracted/threepoint-main/python_scripts/random_fields.py",
"type": "Python"
} | """ Functions for the creation of Gaussian and lognormal random fields
"""
from random import gauss
import numpy as np
from lenstools import GaussianNoiseGenerator
import warnings
from astropy import units as u
from scipy.interpolate import interp1d
import scipy.integrate as integrate
from scipy.special import jv,j... | sheydenreichREPO_NAMEthreepointPATH_START.@threepoint_extracted@threepoint-main@python_scripts@random_fields.py@.PATH_END.py |
{
"filename": "asyncio.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/utilities/asyncio.py",
"type": "Python"
} | """Shims for asyncio features that may be missing from older python versions"""
import sys
if sys.version_info[:2] < (3, 11):
from async_timeout import timeout as asyncio_timeout
else:
from asyncio import timeout as asyncio_timeout
__all__ = ["asyncio_timeout"]
| langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@utilities@asyncio.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/funnelarea/legendgrouptitle/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._font import Font
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
| plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@funnelarea@legendgrouptitle@__init__.py@.PATH_END.py |
{
"filename": "ll.py",
"repo_name": "mlares/hearsay",
"repo_path": "hearsay_extracted/hearsay-master/dev/ll.py",
"type": "Python"
} | class ListNode:
def __init__(self, data):
"constructor to initiate this object"
# store data
self.data = data
# store reference (next item)
self.next = None
return
def has_value(self, value):
"method to compare the value with the node data"
if... | mlaresREPO_NAMEhearsayPATH_START.@hearsay_extracted@hearsay-master@dev@ll.py@.PATH_END.py |
{
"filename": "intelc.py",
"repo_name": "duvall3/rat-pac",
"repo_path": "rat-pac_extracted/rat-pac-master/python/SCons/Tool/intelc.py",
"type": "Python"
} | """SCons.Tool.icl
Tool-specific initialization for the Intel C/C++ compiler.
Supports Linux and Windows compilers, v7 and up.
There normally shouldn't be any need to import this module directly.
It will usually be imported through the generic SCons.Tool.Tool()
selection method.
"""
#
# Copyright (c) 2001, 2002, 200... | duvall3REPO_NAMErat-pacPATH_START.@rat-pac_extracted@rat-pac-master@python@SCons@Tool@intelc.py@.PATH_END.py |
{
"filename": "extract_object_files_main.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/lite/ios/extract_object_files_main.py",
"type": "Python"
} | # Copyright 2021 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@ios@extract_object_files_main.py@.PATH_END.py |
{
"filename": "tests.py",
"repo_name": "benjaminpope/drpangloss",
"repo_path": "drpangloss_extracted/drpangloss-main/tests/tests.py",
"type": "Python"
} | import jax.numpy as np
import jax.random as random
import jax
import jax.scipy as jsp
jax.config.update("jax_enable_x64", True)
import pyoifits as oifits
import numpy as onp
from functools import partial
from drpangloss.models import OIData, BinaryModelAngular, cvis_binary, closure_phases, BinaryModelCartesian
from... | benjaminpopeREPO_NAMEdrpanglossPATH_START.@drpangloss_extracted@drpangloss-main@tests@tests.py@.PATH_END.py |
{
"filename": "tfsa-2020-005.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/security/advisory/tfsa-2020-005.md",
"type": "Markdown"
} | ## TFSA-2020-005: Out of bounds access in TFLite operators
### CVE Number
CVE-2020-15211
### Impact
In TensorFlow Lite, saved models in the flatbuffer format use a double indexing
scheme: a model has a set of subgraphs, each subgraph has a set of operators and
each operator has a set of input/output tensors. The flat... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@security@advisory@tfsa-2020-005.md@.PATH_END.py |
{
"filename": "_selected.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattermapbox/_selected.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="selected", parent_name="scattermapbox", **kwargs):
super(SelectedValidator, 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@scattermapbox@_selected.py@.PATH_END.py |
{
"filename": "autocast_variable.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/keras/mixed_precision/autocast_variable.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@python@keras@mixed_precision@autocast_variable.py@.PATH_END.py |
{
"filename": "pdf.py",
"repo_name": "icecube/skyllh",
"repo_path": "skyllh_extracted/skyllh-master/skyllh/core/pdf.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import abc
import numpy as np
from scipy.interpolate import (
RegularGridInterpolator,
)
from skyllh.core import (
tool,
)
from skyllh.core.binning import (
BinningDefinition,
)
from skyllh.core.config import (
HasConfig,
)
from skyllh.core.display import (
INDENTATION_WI... | icecubeREPO_NAMEskyllhPATH_START.@skyllh_extracted@skyllh-master@skyllh@core@pdf.py@.PATH_END.py |
{
"filename": "jobsetup.py",
"repo_name": "gwastro/pycbc",
"repo_path": "pycbc_extracted/pycbc-master/pycbc/workflow/jobsetup.py",
"type": "Python"
} | # Copyright (C) 2013 Ian Harry
#
# 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 distributed in the... | gwastroREPO_NAMEpycbcPATH_START.@pycbc_extracted@pycbc-master@pycbc@workflow@jobsetup.py@.PATH_END.py |
{
"filename": "_colorscale.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatter/marker/_colorscale.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
def __init__(
self, plotly_name="colorscale", parent_name="scatter.marker", **kwargs
):
super(ColorscaleValidator, self).__init__(
plotly_name=plotly_name,
p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatter@marker@_colorscale.py@.PATH_END.py |
{
"filename": "test_vis_flags_weights.py",
"repo_name": "ska-sa/katdal",
"repo_path": "katdal_extracted/katdal-master/katdal/test/test_vis_flags_weights.py",
"type": "Python"
} | ################################################################################
# Copyright (c) 2018-2022,2024, National Research Foundation (SARAO)
#
# Licensed under the BSD 3-Clause License (the "License"); you may not use
# this file except in compliance with the License. You may obtain a copy
# of the License at
... | ska-saREPO_NAMEkatdalPATH_START.@katdal_extracted@katdal-master@katdal@test@test_vis_flags_weights.py@.PATH_END.py |
{
"filename": "quickstart_whereto.md",
"repo_name": "tigerchenlu98/rebound",
"repo_path": "rebound_extracted/rebound-main/docs/quickstart_whereto.md",
"type": "Markdown"
} | # Where to go from here
In addition to reading the [API section](api.md), you can learn most about REBOUND by looking at some of the [example problems](examples.md).
The C examples are located in the `examples/` directory.
The python and iPython examples are located in the `python_examples/` and `ipython_examples/` d... | tigerchenlu98REPO_NAMEreboundPATH_START.@rebound_extracted@rebound-main@docs@quickstart_whereto.md@.PATH_END.py |
{
"filename": "emu_sklearn2.py",
"repo_name": "awsteiner/o2scl",
"repo_path": "o2scl_extracted/o2scl-main/data/o2scl/python/emu_sklearn2.py",
"type": "Python"
} | """
-------------------------------------------------------------------
Copyright (C) 2022-2023, Satyajit Roy and Andrew W. Steiner
This file is part of O2scl.
O2scl 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... | awsteinerREPO_NAMEo2sclPATH_START.@o2scl_extracted@o2scl-main@data@o2scl@python@emu_sklearn2.py@.PATH_END.py |
{
"filename": "_lenmode.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_lenmode.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="lenmode", parent_name="contourcarpet.colorbar", **kwargs
):
super(LenmodeValidator, self).__init__(
plotly_name=plotly_name,
pa... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@contourcarpet@colorbar@_lenmode.py@.PATH_END.py |
{
"filename": "05B_fm_disks.ipynb",
"repo_name": "vortex-exoplanet/VIP",
"repo_path": "VIP_extracted/VIP-master/docs/source/tutorials/05B_fm_disks.ipynb",
"type": "Jupyter Notebook"
} | # 5B. ADI forward modeling of disks
> Author: *Julien Milli*
> Last update: *06/06/2024*
> Suitable for VIP *v1.0.3* onwards.
**Table of contents**
* [5.4. Introduction to forward modeling of disks](#5.4.-Introduction-to-forward-modeling-of-disks)
- [5.4.1. Overview](#5.4.1.-Overview)
- [5.4.2. Parametri... | vortex-exoplanetREPO_NAMEVIPPATH_START.@VIP_extracted@VIP-master@docs@source@tutorials@05B_fm_disks.ipynb@.PATH_END.py |
{
"filename": "test_resampling.py",
"repo_name": "astro-informatics/s2fft",
"repo_path": "s2fft_extracted/s2fft-main/tests/test_resampling.py",
"type": "Python"
} | import numpy as np
import pytest
from s2fft.base_transforms import spherical
from s2fft.utils import resampling
def test_periodic_extension_invalid_sampling():
f_dummy = np.zeros((2, 2), dtype=np.complex128)
with pytest.raises(ValueError):
resampling.periodic_extension(f_dummy, L=5, spin=0, sampling... | astro-informaticsREPO_NAMEs2fftPATH_START.@s2fft_extracted@s2fft-main@tests@test_resampling.py@.PATH_END.py |
{
"filename": "zorder_demo.py",
"repo_name": "matplotlib/matplotlib",
"repo_path": "matplotlib_extracted/matplotlib-main/galleries/examples/misc/zorder_demo.py",
"type": "Python"
} | """
===========
Zorder Demo
===========
The drawing order of artists is determined by their ``zorder`` attribute, which
is a floating point number. Artists with higher ``zorder`` are drawn on top.
You can change the order for individual artists by setting their ``zorder``.
The default value depends on the type of the ... | matplotlibREPO_NAMEmatplotlibPATH_START.@matplotlib_extracted@matplotlib-main@galleries@examples@misc@zorder_demo.py@.PATH_END.py |
{
"filename": "model.py",
"repo_name": "Zafiirah13/meercrab",
"repo_path": "meercrab_extracted/meercrab-main/meerCRAB_code/model.py",
"type": "Python"
} | #!usr/bin/env python
"""
Authors : Zafiirah Hosenie
Email : zafiirah.hosenie@gmail.com or zafiirah.hosenie@postgrad.manchester.ac.uk
Affiliation : The University of Manchester, UK.
License : MIT
Status : Under Development
Description :
Python implementation for Classification of Bogus and Real using Deep Learning for M... | Zafiirah13REPO_NAMEmeercrabPATH_START.@meercrab_extracted@meercrab-main@meerCRAB_code@model.py@.PATH_END.py |
{
"filename": "detection_limits.py",
"repo_name": "cmillion/gPhoton",
"repo_path": "gPhoton_extracted/gPhoton-master/calpaper/src/detection_limits.py",
"type": "Python"
} | import gPhoton.galextools as gt
magrange = np.arange(14,24,1)
expt_ratio = 0.8 # Estimate of ration of effective to raw exposure time
t_raw = np.arange(1,1600,1)
t_eff = expt_ratio*t_raw
for sigma in [1,3]:
fig = plt.figure(figsize=(8*2,6*2))
for i,band in enumerate(['FUV','NUV']):
plt.subplot(2,1,i)... | cmillionREPO_NAMEgPhotonPATH_START.@gPhoton_extracted@gPhoton-master@calpaper@src@detection_limits.py@.PATH_END.py |
{
"filename": "star_sampler.py",
"repo_name": "joezuntz/cosmosis",
"repo_path": "cosmosis_extracted/cosmosis-main/cosmosis/samplers/star/star_sampler.py",
"type": "Python"
} | import itertools
import numpy as np
from ...runtime import logs
from .. import ParallelSampler
def task(p):
i,p = p
results = star_sampler.pipeline.run_results(p)
#If requested, save the data to file
if star_sampler.save_name and results.block is not None:
results.block.save_to_file(star_sampl... | joezuntzREPO_NAMEcosmosisPATH_START.@cosmosis_extracted@cosmosis-main@cosmosis@samplers@star@star_sampler.py@.PATH_END.py |
{
"filename": "test_gi_plus_projected.py",
"repo_name": "astropy/halotools",
"repo_path": "halotools_extracted/halotools-master/halotools/mock_observables/ia_correlations/tests/test_gi_plus_projected.py",
"type": "Python"
} | """
Module providing unit-testing for the `~halotools.mock_observables.alignments.w_gplus` function.
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
import warnings
import pytest
from astropy.utils.misc import NumpyRNGContext
from ..gi_plus_projected import g... | astropyREPO_NAMEhalotoolsPATH_START.@halotools_extracted@halotools-master@halotools@mock_observables@ia_correlations@tests@test_gi_plus_projected.py@.PATH_END.py |
{
"filename": "train.py",
"repo_name": "axgoujon/convex_ridge_regularizers",
"repo_path": "convex_ridge_regularizers_extracted/convex_ridge_regularizers-main/training/train.py",
"type": "Python"
} | import argparse
import json
import torch
import trainer
import os
# CUDA_LAUNCH_BLOCKING=1
def main(device):
# Set up directories for saving results
config_path = 'configs/config.json'
config = json.load(open(config_path))
exp_dir = os.path.join(config['logging_info']['log_dir'], config['exp_nam... | axgoujonREPO_NAMEconvex_ridge_regularizersPATH_START.@convex_ridge_regularizers_extracted@convex_ridge_regularizers-main@training@train.py@.PATH_END.py |
{
"filename": "shape_base.py",
"repo_name": "numpy/numpy",
"repo_path": "numpy_extracted/numpy-main/numpy/core/shape_base.py",
"type": "Python"
} | def __getattr__(attr_name):
from numpy._core import shape_base
from ._utils import _raise_warning
ret = getattr(shape_base, attr_name, None)
if ret is None:
raise AttributeError(
f"module 'numpy.core.shape_base' has no attribute {attr_name}")
_raise_warning(attr_name, "shape_base... | numpyREPO_NAMEnumpyPATH_START.@numpy_extracted@numpy-main@numpy@core@shape_base.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "ma-xu/pointMLP-pytorch",
"repo_path": "pointMLP-pytorch_extracted/pointMLP-pytorch-main/part_segmentation/util/__init__.py",
"type": "Python"
} | ma-xuREPO_NAMEpointMLP-pytorchPATH_START.@pointMLP-pytorch_extracted@pointMLP-pytorch-main@part_segmentation@util@__init__.py@.PATH_END.py | |
{
"filename": "test_rotation.py",
"repo_name": "jpinedaf/velocity_tools",
"repo_path": "velocity_tools_extracted/velocity_tools-master/velocity_tools/test_rotation.py",
"type": "Python"
} | %run stream_lines.py
import numpy as np
import astropy.units as u
import matplotlib.pyplot as plt
# Initial test: change in PA for vector = showin x- and y-axes
x_x = 1.
y_x = 0.
z_x = 0.
x_y = 0.
y_y = 1.
z_y = 0.
x_x_new, y_x_new, z_x_new = rotate_xyz(x_x, y_x, z_x, inc=0*u.deg, PA=45*u.deg)
x_y_new, y_y_new, z_y_n... | jpinedafREPO_NAMEvelocity_toolsPATH_START.@velocity_tools_extracted@velocity_tools-master@velocity_tools@test_rotation.py@.PATH_END.py |
{
"filename": "test_cuts.py",
"repo_name": "gwastro/pycbc",
"repo_path": "pycbc_extracted/pycbc-master/test/test_cuts.py",
"type": "Python"
} | """
Unit tests for cuts being applied to trigger and templates
"""
import unittest
import argparse
import copy
import numpy as np
from utils import simple_exit
from pycbc.events import cuts, ranking
from pycbc.tmpltbank import bank_conversions
def parse_args(args):
# Helper function to convert a list of flags/op... | gwastroREPO_NAMEpycbcPATH_START.@pycbc_extracted@pycbc-master@test@test_cuts.py@.PATH_END.py |
{
"filename": "vae.py",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/jax/experimental/jax2tf/tests/flax_models/vae.py",
"type": "Python"
} | # Copyright 2022 The JAX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | googleREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@experimental@jax2tf@tests@flax_models@vae.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/barpolar/hoverlabel/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._namelengthsrc import NamelengthsrcValidator
from ._namelength import NamelengthValidator
from ._font import FontValidator
from ._bordercolorsrc import BordercolorsrcValidator
from ._bordercolor import ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@barpolar@hoverlabel@__init__.py@.PATH_END.py |
{
"filename": "cpu_lu_lapack_getrf.py",
"repo_name": "jax-ml/jax",
"repo_path": "jax_extracted/jax-main/jax/_src/internal_test_util/export_back_compat_test_data/cpu_lu_lapack_getrf.py",
"type": "Python"
} | # Copyright 2023 The JAX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | jax-mlREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@_src@internal_test_util@export_back_compat_test_data@cpu_lu_lapack_getrf.py@.PATH_END.py |
{
"filename": "test_d_radial_tidal_heating.py",
"repo_name": "jrenaud90/TidalPy",
"repo_path": "TidalPy_extracted/TidalPy-main/Tests/Test_Old/Test_SetY_MultiLayer/Test_Matrix/test_d_radial_tidal_heating.py",
"type": "Python"
} | """ Tests for extracting useful information out of a multilayer tidal propagation
"""
import numpy as np
import TidalPy
from TidalPy.constants import G
from TidalPy.tides.multilayer.heating import calc_radial_tidal_heating
from TidalPy.radial_solver.sensitivity import sensitivity_to_shear as find_sensitivity_to_she... | jrenaud90REPO_NAMETidalPyPATH_START.@TidalPy_extracted@TidalPy-main@Tests@Test_Old@Test_SetY_MultiLayer@Test_Matrix@test_d_radial_tidal_heating.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "hfarias/mask_galaxy",
"repo_path": "mask_galaxy_extracted/mask_galaxy-master/mrcnn/__init__.py",
"type": "Python"
} | hfariasREPO_NAMEmask_galaxyPATH_START.@mask_galaxy_extracted@mask_galaxy-master@mrcnn@__init__.py@.PATH_END.py | |
{
"filename": "api.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/frontends/moab/api.py",
"type": "Python"
} | from . import tests
from .data_structures import (
MoabHex8Dataset,
MoabHex8Hierarchy,
MoabHex8Mesh,
PyneMoabHex8Dataset,
)
from .fields import MoabFieldInfo, PyneFieldInfo
from .io import IOHandlerMoabH5MHex8
| rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@frontends@moab@api.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/table/header/line/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._widthsrc import WidthsrcValidator
from ._width import WidthValidator
from ._colorsrc import ColorsrcValidator
from ._color import ColorValidator
else:
from _plotly_utils.importers import relative_impor... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@table@header@line@__init__.py@.PATH_END.py |
{
"filename": "thread_pool_config_32.py",
"repo_name": "LSSTDESC/gen3_workflow",
"repo_path": "gen3_workflow_extracted/gen3_workflow-master/python/desc/gen3_workflow/config/thread_pool_config_32.py",
"type": "Python"
} | """Parsl config for using ThreadPoolExecutor with max_threads=32."""
import parsl
from parsl.executors.threads import ThreadPoolExecutor
executors = [ThreadPoolExecutor(max_threads=32, label=label) for label in
'batch-small batch-medium batch-large submit-node'.split()]
config = parsl.config.Config(executo... | LSSTDESCREPO_NAMEgen3_workflowPATH_START.@gen3_workflow_extracted@gen3_workflow-master@python@desc@gen3_workflow@config@thread_pool_config_32.py@.PATH_END.py |
{
"filename": "ZTF20aajcdad-checkpoint.ipynb",
"repo_name": "saberyoung/haffet",
"repo_path": "haffet_extracted/haffet-master/notebook/.ipynb_checkpoints/ZTF20aajcdad-checkpoint.ipynb",
"type": "Jupyter Notebook"
} | # run HAFFET with an example of ZTF20aajcdad
```python
```
### import library
```python
from sdapy import snerun
import matplotlib.pyplot as plt
plt.rcParams["text.usetex"] = False # disable latex
import numpy as np
```
```python
```
### initialize a snobject class with proper meta data
```python
sncls = sn... | saberyoungREPO_NAMEhaffetPATH_START.@haffet_extracted@haffet-master@notebook@.ipynb_checkpoints@ZTF20aajcdad-checkpoint.ipynb@.PATH_END.py |
{
"filename": "hypermodel.py",
"repo_name": "nanograv/enterprise_extensions",
"repo_path": "enterprise_extensions_extracted/enterprise_extensions-master/enterprise_extensions/hypermodel.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import os
import numpy as np
import scipy.linalg as sl
from enterprise import constants as const
from PTMCMCSampler.PTMCMCSampler import PTSampler as ptmcmc
from .sampler import JumpProposal, get_parameter_groups, save_runtime_info
class HyperModel(object):
"""
Class to define hype... | nanogravREPO_NAMEenterprise_extensionsPATH_START.@enterprise_extensions_extracted@enterprise_extensions-master@enterprise_extensions@hypermodel.py@.PATH_END.py |
{
"filename": "_selected.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/choropleth/_selected.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SelectedValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="selected", parent_name="choropleth", **kwargs):
super(SelectedValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@choropleth@_selected.py@.PATH_END.py |
{
"filename": "_contour.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/volume/_contour.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Contour(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "volume"
_path_str = "volume.contour"
_valid_props = {"color", "show", "width"}
# color... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@volume@_contour.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "Schwarzam/splusdata",
"repo_path": "splusdata_extracted/splusdata-master/splusdata/variability/__init__.py",
"type": "Python"
} | SchwarzamREPO_NAMEsplusdataPATH_START.@splusdata_extracted@splusdata-master@splusdata@variability@__init__.py@.PATH_END.py | |
{
"filename": "__init__.py",
"repo_name": "tctianchi/pyvenn",
"repo_path": "pyvenn_extracted/pyvenn-master/__init__.py",
"type": "Python"
} | tctianchiREPO_NAMEpyvennPATH_START.@pyvenn_extracted@pyvenn-master@__init__.py@.PATH_END.py | |
{
"filename": "_add_newdocs_scalars.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/numpy/py3/numpy/core/_add_newdocs_scalars.py",
"type": "Python"
} | """
This file is separate from ``_add_newdocs.py`` so that it can be mocked out by
our sphinx ``conf.py`` during doc builds, where we want to avoid showing
platform-dependent information.
"""
import sys
import os
from numpy.core import dtype
from numpy.core import numerictypes as _numerictypes
from numpy.core.function_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@numpy@py3@numpy@core@_add_newdocs_scalars.py@.PATH_END.py |
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