metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "classifier.py",
"repo_name": "loostrum/darc",
"repo_path": "darc_extracted/darc-master/darc/processor_tools/classifier.py",
"type": "Python"
} | #!/usr/bin/env python3
import os
import socket
from argparse import Namespace
from time import sleep
from queue import Empty
import multiprocessing as mp
import threading
import yaml
import numpy as np
import h5py
from darc.definitions import CONFIG_FILE
from darc.logger import get_queue_logger
# silence the tensorfl... | loostrumREPO_NAMEdarcPATH_START.@darc_extracted@darc-master@darc@processor_tools@classifier.py@.PATH_END.py |
{
"filename": "style_guide.md",
"repo_name": "spacetelescope/mirage",
"repo_path": "mirage_extracted/mirage-master/style_guide/style_guide.md",
"type": "Markdown"
} | Python Code Style Guide for `mirage`
===================================
This document serves as a style guide for all `mirage` software development. Any requested contribution to the `mirage` code repository should be checked against this guide, and any violation of the guide should be fixed before the code is commi... | spacetelescopeREPO_NAMEmiragePATH_START.@mirage_extracted@mirage-master@style_guide@style_guide.md@.PATH_END.py |
{
"filename": "debug.py",
"repo_name": "spacetelescope/specview",
"repo_path": "specview_extracted/specview-master/proto/specviewer/qt_signals/debug.py",
"type": "Python"
} | import logging
import sys
def msg_debug(msg, cls=None):
if cls is None:
logging.debug('{}: {}'.format(sys._getframe(1).f_code.co_name,
msg))
else:
logging.debug('{}.{}: {}'.format(cls.__name__,
sys._getframe(1).f_cod... | spacetelescopeREPO_NAMEspecviewPATH_START.@specview_extracted@specview-master@proto@specviewer@qt_signals@debug.py@.PATH_END.py |
{
"filename": "kpno_meta.py",
"repo_name": "HETDEX/elixer",
"repo_path": "elixer_extracted/elixer-main/elixer/kpno_meta.py",
"type": "Python"
} | KPNO_META_DICT = {
'km1203_5336.fits': {'RA_min':180.309799,'RA_max':181.386272,'Dec_min':53.224441,'Dec_max':53.920689,'instrument':'mosaic_1_1','filter':'g SDSS k1017','path':'/data/03261/polonius/hdr2/imaging/KMImaging/km1203_5336.fits'},
'km1439_5224.fits': {'RA_min':219.099152,'RA_max':220.144887,'Dec_min':52.0884... | HETDEXREPO_NAMEelixerPATH_START.@elixer_extracted@elixer-main@elixer@kpno_meta.py@.PATH_END.py |
{
"filename": "distributions.py",
"repo_name": "zclaytor/butterpy",
"repo_path": "butterpy_extracted/butterpy-main/butterpy/distributions.py",
"type": "Python"
} | import numpy as np
class Distribution(object):
"""Base probability distribution class.
Distribution has shape `shape` and range [min, max).
"""
def __init__(self, min, max, shape):
"""
Initialize distribution shape.
Args:
min (float): distribution range minimum.
... | zclaytorREPO_NAMEbutterpyPATH_START.@butterpy_extracted@butterpy-main@butterpy@distributions.py@.PATH_END.py |
{
"filename": "smp_comp_flux.py",
"repo_name": "dscolnic/Pantheon",
"repo_path": "Pantheon_extracted/Pantheon-master/SCRIPTS/smp_comp_flux.py",
"type": "Python"
} | import numpy as np
import string
import matplotlib.pyplot as plt
import matplotlib
import plotsetup
from matplotlib import gridspec
from scipy.stats import pearsonr
from pylab import polyfit
plotsetup.fullpaperfig()
#matplotlib.rcParams.update({'font.size': 14})
val1=[]
val2=[]
fil=[]
a=open('smp_comp.txt', 'r')
for l... | dscolnicREPO_NAMEPantheonPATH_START.@Pantheon_extracted@Pantheon-master@SCRIPTS@smp_comp_flux.py@.PATH_END.py |
{
"filename": "setup_package.py",
"repo_name": "astropy/astroquery",
"repo_path": "astroquery_extracted/astroquery-main/astroquery/ogle/tests/setup_package.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import os
def get_package_data():
paths_test = [os.path.join('data', '*.txt')]
return {'astroquery.ogle.tests': paths_test}
| astropyREPO_NAMEastroqueryPATH_START.@astroquery_extracted@astroquery-main@astroquery@ogle@tests@setup_package.py@.PATH_END.py |
{
"filename": "pytestplugin.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/hypothesis/py3/hypothesis/extra/pytestplugin.py",
"type": "Python"
} | # This file is part of Hypothesis, which may be found at
# https://github.com/HypothesisWorks/hypothesis/
#
# Copyright the Hypothesis Authors.
# Individual contributors are listed in AUTHORS.rst and the git log.
#
# This Source Code Form is subject to the terms of the Mozilla Public License,
# v. 2.0. If a copy of the... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@hypothesis@py3@hypothesis@extra@pytestplugin.py@.PATH_END.py |
{
"filename": "test_util.py",
"repo_name": "sibirrer/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/test/test_Util/test_util.py",
"type": "Python"
} | __author__ = "sibirrer"
import lenstronomy.Util.util as util
import numpy as np
import pytest
import numpy.testing as npt
import unittest
def test_isiterable():
z = np.array([0, 1])
boolean = util.isiterable(z)
assert boolean is True
z = 1
boolean = util.isiterable(z)
assert boolean is Fals... | sibirrerREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@test@test_Util@test_util.py@.PATH_END.py |
{
"filename": "test_pipeline_hst.py",
"repo_name": "gbrammer/grizli",
"repo_path": "grizli_extracted/grizli-master/test_pipeline_hst.py",
"type": "Python"
} | import unittest
import os
import glob
import yaml
import numpy as np
import matplotlib.pyplot as plt
import mastquery
from grizli import utils, prep, multifit, GRIZLI_PATH
from grizli.pipeline import auto_script
TEST_HOME = os.getcwd()
HOME_PATH = f'{os.getcwd()}/PipelineTest'
if not os.path.exists(HOME_PATH):
... | gbrammerREPO_NAMEgrizliPATH_START.@grizli_extracted@grizli-master@test_pipeline_hst.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "silburt/DeepMoon",
"repo_path": "DeepMoon_extracted/DeepMoon-master/README.md",
"type": "Markdown"
} | # DeepMoon - Lunar Crater Counting Through Deep Learning
Center for Planetary Sciences / Department of Astronomy & Astrophysics / Canadian Institute for Theoretical Astrophysics
University of Toronto
DeepMoon is a TensorFlow-based pipeline for training a convolutional neural
network (CNN) to recognize craters on the M... | silburtREPO_NAMEDeepMoonPATH_START.@DeepMoon_extracted@DeepMoon-master@README.md@.PATH_END.py |
{
"filename": "simulate.py",
"repo_name": "smsharma/fermi-gce-flows",
"repo_path": "fermi-gce-flows_extracted/fermi-gce-flows-main/simulate.py",
"type": "Python"
} | from __future__ import absolute_import, division, print_function, unicode_literals
import sys, os
import argparse
import logging
from operator import itemgetter
import numpy as np
import healpy as hp
from tqdm.auto import tqdm
import torch
logger = logging.getLogger(__name__)
sys.path.append("./")
sys.path.append("..... | smsharmaREPO_NAMEfermi-gce-flowsPATH_START.@fermi-gce-flows_extracted@fermi-gce-flows-main@simulate.py@.PATH_END.py |
{
"filename": "transform.py",
"repo_name": "rhayes777/PyAutoFit",
"repo_path": "PyAutoFit_extracted/PyAutoFit-main/autofit/graphical/factor_graphs/transform.py",
"type": "Python"
} | from abc import abstractmethod
from typing import Dict, Tuple, Optional, List
import numpy as np
from scipy.linalg import cho_factor
from autoconf import cached_property
from autofit.graphical.factor_graphs.abstract import AbstractNode, Value, FactorValue
# from ...mapper.operator import
from autofit.mapper.operator ... | rhayes777REPO_NAMEPyAutoFitPATH_START.@PyAutoFit_extracted@PyAutoFit-main@autofit@graphical@factor_graphs@transform.py@.PATH_END.py |
{
"filename": "basic_spectral_analysis-checkpoint.ipynb",
"repo_name": "aburgasser/kastredux",
"repo_path": "kastredux_extracted/kastredux-main/training/.ipynb_checkpoints/basic_spectral_analysis-checkpoint.ipynb",
"type": "Jupyter Notebook"
} | # KastRedux Tutorial: Basic Spectral Analysis
## Authors
Adam Burgasser
## Version date
12 July 2024
## Learning Goals
* Read in an optical Kast spectrum (kastredux.getSpectrum)
* Explore built-in functions for Spectrum objects (kastredux.Spectrum)
* Some basic manipulation of spectra - normalizing, scaling, trimmin... | aburgasserREPO_NAMEkastreduxPATH_START.@kastredux_extracted@kastredux-main@training@.ipynb_checkpoints@basic_spectral_analysis-checkpoint.ipynb@.PATH_END.py |
{
"filename": "_outlinecolor.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/densitymap/colorbar/_outlinecolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class OutlinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="outlinecolor", parent_name="densitymap.colorbar", **kwargs
):
super(OutlinecolorValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@densitymap@colorbar@_outlinecolor.py@.PATH_END.py |
{
"filename": "plot_c_miri.ipynb",
"repo_name": "arminrest/jhat",
"repo_path": "jhat_extracted/jhat-master/Docs/source/examples/plot_c_miri.ipynb",
"type": "Jupyter Notebook"
} | ```python
%matplotlib inline
```
# JWST MIRI
Aligning JWST/MIRI images with JHAT.
An example MIRI Dataset is downloaded, and then a series of
alignment methods are used. For more information on the
key parameters used for alignment see
`params:Useful Parameters`.
```python
import sys,os,glob
from astropy.io i... | arminrestREPO_NAMEjhatPATH_START.@jhat_extracted@jhat-master@Docs@source@examples@plot_c_miri.ipynb@.PATH_END.py |
{
"filename": "test_efsearch.py",
"repo_name": "StingraySoftware/HENDRICS",
"repo_path": "HENDRICS_extracted/HENDRICS-main/hendrics/tests/test_efsearch.py",
"type": "Python"
} | import copy
import importlib
import os
from collections.abc import Iterable
import numpy as np
import pytest
from stingray.events import EventList
from stingray.lightcurve import Lightcurve
from hendrics.base import HAS_PINT, hen_root
from hendrics.efsearch import (
HAS_IMAGEIO,
decide_binary_parameters,
... | StingraySoftwareREPO_NAMEHENDRICSPATH_START.@HENDRICS_extracted@HENDRICS-main@hendrics@tests@test_efsearch.py@.PATH_END.py |
{
"filename": "newWindowHack.py",
"repo_name": "iraf-community/pyraf",
"repo_path": "pyraf_extracted/pyraf-main/pyraf/newWindowHack.py",
"type": "Python"
} | """
This module hacks tkSimpleDialog to make askstring() work
even when the root window has been withdrawn.
w/o this hack, Python-2.4.3/Tk8.4 locks up for the following
code: the dialog is created, but it is withdrawn just like the
root window (!) so there is nothing to interact with and the system
hangs.
import t... | iraf-communityREPO_NAMEpyrafPATH_START.@pyraf_extracted@pyraf-main@pyraf@newWindowHack.py@.PATH_END.py |
{
"filename": "_plotting.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scikit-learn/py3/sklearn/utils/_plotting.py",
"type": "Python"
} | import numpy as np
from . import check_consistent_length, check_matplotlib_support
from ._response import _get_response_values_binary
from .multiclass import type_of_target
from .validation import _check_pos_label_consistency
class _BinaryClassifierCurveDisplayMixin:
"""Mixin class to be used in Displays requiri... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scikit-learn@py3@sklearn@utils@_plotting.py@.PATH_END.py |
{
"filename": "Star.py",
"repo_name": "bretonr/Icarus",
"repo_path": "Icarus_extracted/Icarus-master/Icarus/Core/Star.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE
from __future__ import print_function, division
__all__ = ["Star"]
from ..Utils.import_modules import *
from .. import Utils
from .Star_base import Star_base
logger = logging.getLogger(__name__)
######################## class Star ########################... | bretonrREPO_NAMEIcarusPATH_START.@Icarus_extracted@Icarus-master@Icarus@Core@Star.py@.PATH_END.py |
{
"filename": "GaussBAODVLikelihood.py",
"repo_name": "ja-vazquez/SimpleMC",
"repo_path": "SimpleMC_extracted/SimpleMC-master/simplemc/likelihoods/GaussBAODVLikelihood.py",
"type": "Python"
} |
from simplemc.likelihoods.BaseLikelihood import BaseLikelihood
class GaussBAODVLikelihood(BaseLikelihood):
def __init__(self, name, z, DV, DVErr, fidtheory, maxchi2=1e30):
"""
This is a BAO likelihood, where we give DV and its error and optionally a value
at which chi2 is cut.
Par... | ja-vazquezREPO_NAMESimpleMCPATH_START.@SimpleMC_extracted@SimpleMC-master@simplemc@likelihoods@GaussBAODVLikelihood.py@.PATH_END.py |
{
"filename": "slice2d_get_support.py",
"repo_name": "spedas/pyspedas",
"repo_path": "pyspedas_extracted/pyspedas-master/pyspedas/particles/spd_slice2d/slice2d_get_support.py",
"type": "Python"
} | from .tplot_average import tplot_average
def slice2d_get_support(variable, trange, matrix=False):
"""
Retrieve user specified support data for spd_slice2d
Input
------
variable: str or float or ndarray
Tplot variable or input data
trange: list of float
Time ra... | spedasREPO_NAMEpyspedasPATH_START.@pyspedas_extracted@pyspedas-master@pyspedas@particles@spd_slice2d@slice2d_get_support.py@.PATH_END.py |
{
"filename": "MakePlotMovie.py",
"repo_name": "saopicc/killMS",
"repo_path": "killMS_extracted/killMS-master/killMS/MakePlotMovie.py",
"type": "Python"
} | #!/usr/bin/env python
"""
killMS, a package for calibration in radio interferometry.
Copyright (C) 2013-2017 Cyril Tasse, l'Observatoire de Paris,
SKA South Africa, Rhodes University
This program is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License
as published ... | saopiccREPO_NAMEkillMSPATH_START.@killMS_extracted@killMS-master@killMS@MakePlotMovie.py@.PATH_END.py |
{
"filename": "DecayLCDMCosmology.py",
"repo_name": "igomezv/simplemc_tests",
"repo_path": "simplemc_tests_extracted/simplemc_tests-main/simplemc/models/DecayLCDMCosmology.py",
"type": "Python"
} |
import sys
import numpy as np
from scipy.integrate import odeint
from scipy.interpolate import interp1d
from scipy.optimize import minimize
from simplemc.models.LCDMCosmology import LCDMCosmology
from simplemc.cosmo.paramDefs import xfrac_par, lambda_par
class DecayLCDMCosmology(LCDMCosmology):
# note that if w... | igomezvREPO_NAMEsimplemc_testsPATH_START.@simplemc_tests_extracted@simplemc_tests-main@simplemc@models@DecayLCDMCosmology.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "astrobengaly/GaPP",
"repo_path": "GaPP_extracted/GaPP-main/README.md",
"type": "Markdown"
} | # GaPP
This Gaussian Processes GaPP code auxiliary repository, replacing the original link [http://www.acgc.uct.ac.za/~seikel/GAPP/index.html] which seems to be broken.
GaPP was written by Seikel, Clarkson, Smith 2012 (https://arxiv.org/abs/1204.2832, JCAP06(2012)036). The algorithm Gaussian processes can reconstruc... | astrobengalyREPO_NAMEGaPPPATH_START.@GaPP_extracted@GaPP-main@README.md@.PATH_END.py |
{
"filename": "saveopts.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/setuptools/command/saveopts.py",
"type": "Python"
} | from setuptools.command.setopt import edit_config, option_base
class saveopts(option_base):
"""Save command-line options to a file"""
description = "save supplied options to setup.cfg or other config file"
def run(self):
dist = self.distribution
settings = {}
for cmd in dist.com... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@setuptools@command@saveopts.py@.PATH_END.py |
{
"filename": "_family.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/violin/hoverlabel/font/_family.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="family", parent_name="violin.hoverlabel.font", **kwargs
):
super(FamilyValidator, self).__init__(
plotly_name=plotly_name,
parent_na... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@violin@hoverlabel@font@_family.py@.PATH_END.py |
{
"filename": "test_initial_point.py",
"repo_name": "pymc-devs/pymc",
"repo_path": "pymc_extracted/pymc-main/tests/test_initial_point.py",
"type": "Python"
} | # Copyright 2024 The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | pymc-devsREPO_NAMEpymcPATH_START.@pymc_extracted@pymc-main@tests@test_initial_point.py@.PATH_END.py |
{
"filename": "wrappers.py",
"repo_name": "3fon3fonov/exostriker",
"repo_path": "exostriker_extracted/exostriker-main/exostriker/lib/wrapt_ES/wrappers.py",
"type": "Python"
} | import os
import sys
import functools
import operator
import weakref
import inspect
PY2 = sys.version_info[0] == 2
if PY2:
string_types = basestring,
else:
string_types = str,
def with_metaclass(meta, *bases):
"""Create a base class with a metaclass."""
return meta("NewBase", bases, {})
class _Objec... | 3fon3fonovREPO_NAMEexostrikerPATH_START.@exostriker_extracted@exostriker-main@exostriker@lib@wrapt_ES@wrappers.py@.PATH_END.py |
{
"filename": "_linecolor.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/smith/realaxis/_linecolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="linecolor", parent_name="layout.smith.realaxis", **kwargs
):
super(LinecolorValidator, self).__init__(
plotly_name=plotly_name,
pa... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@smith@realaxis@_linecolor.py@.PATH_END.py |
{
"filename": "_variant.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/font/_variant.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VariantValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="variant",
parent_name="scattercarpet.marker.colorbar.title.font",
**kwargs,
):
super(VariantValidator, self).__init__(
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattercarpet@marker@colorbar@title@font@_variant.py@.PATH_END.py |
{
"filename": "metrics_nonportable.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/lite/python/metrics/metrics_nonportable.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@python@metrics@metrics_nonportable.py@.PATH_END.py |
{
"filename": "mpi4py_cluster.py",
"repo_name": "jax-ml/jax",
"repo_path": "jax_extracted/jax-main/jax/_src/clusters/mpi4py_cluster.py",
"type": "Python"
} | # Copyright 2024 The JAX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | jax-mlREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@_src@clusters@mpi4py_cluster.py@.PATH_END.py |
{
"filename": "plot_screens.py",
"repo_name": "scintillometry/screen-database",
"repo_path": "screen-database_extracted/screen-database-main/plot_screens.py",
"type": "Python"
} | import matplotlib.pyplot as plt
import numpy as np
from astropy.coordinates import SkyCoord
import astropy.coordinates as coord
import astropy.units as u
def plot_screens_3D(sources,screens,bounds=[-0.5,0.5,-0.5,0.5,-0.5,0.5],include_legend=False,cm="magma"):
"""
Plot the 3D locations and velocity vectors of s... | scintillometryREPO_NAMEscreen-databasePATH_START.@screen-database_extracted@screen-database-main@plot_screens.py@.PATH_END.py |
{
"filename": "options.py",
"repo_name": "jdswinbank/Comet",
"repo_path": "Comet_extracted/Comet-master/comet/utility/options.py",
"type": "Python"
} | # Comet VOEvent Broker.
# Base class for command line options.
import os
from argparse import ArgumentParser, ArgumentTypeError
from lxml.etree import XPath, XPathSyntaxError
import comet.plugins
import comet.log as log
from comet.utility.voevent import parse_ivoid, BadIvoidError
__all__ = ["BaseOptions", "valid_iv... | jdswinbankREPO_NAMECometPATH_START.@Comet_extracted@Comet-master@comet@utility@options.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatter/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@scatter@unselected@textfont@__init__.py@.PATH_END.py |
{
"filename": "ppm.md",
"repo_name": "python-hydro/ppmpy",
"repo_path": "ppmpy_extracted/ppmpy-main/docs/ppm.md",
"type": "Markdown"
} | # The Piecewise Parabolic Method for Hydrodynamics
The PPM interface construction is more involved for hydrodynamics than advection
because there are 3 characteristic waves. The basic overview of the method is:
* Convert the conserved state, ${\bf U}$ to primitive variables, ${\bf q}$
* Reconstruct each of the pri... | python-hydroREPO_NAMEppmpyPATH_START.@ppmpy_extracted@ppmpy-main@docs@ppm.md@.PATH_END.py |
{
"filename": "_family.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/contourcarpet/colorbar/tickfont/_family.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="family",
parent_name="contourcarpet.colorbar.tickfont",
**kwargs,
):
super(FamilyValidator, self).__init__(
plotly_name=... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@contourcarpet@colorbar@tickfont@_family.py@.PATH_END.py |
{
"filename": "gaussian.py",
"repo_name": "kevin218/POET",
"repo_path": "POET_extracted/POET-master/code/lib/gaussian.py",
"type": "Python"
} | # $Author: patricio $
# $Revision: 285 $
# $Date: 2010-06-18 17:59:25 -0400 (Fri, 18 Jun 2010) $
# $HeadURL: file:///home/esp01/svn/code/python/branches/patricio/photpipe/lib/gaussian.py $
# $Id: gaussian.py 285 2010-06-18 21:59:25Z patricio $
#! /usr/bin/env python
'''
Name
----
gaussian
File
--... | kevin218REPO_NAMEPOETPATH_START.@POET_extracted@POET-master@code@lib@gaussian.py@.PATH_END.py |
{
"filename": "_name.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/slider/_name.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="name", parent_name="layout.slider", **kwargs):
super(NameValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
e... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@slider@_name.py@.PATH_END.py |
{
"filename": "roadrunner_model_example_1.ipynb",
"repo_name": "hpparvi/PyTransit",
"repo_path": "PyTransit_extracted/PyTransit-master/doc/source/notebooks/models/roadrunner/roadrunner_model_example_1.ipynb",
"type": "Jupyter Notebook"
} | # RoadRunner transit model example I - basics
*Author:* Hannu Parviainen<br>
*Last modified:* 23 April 2024
The *RoadRunner* transit model (RRModel, [Parviainen, 2020a](https://ui.adsabs.harvard.edu/abs/2020MNRAS.499.1633P/abstract)) implemented by ``pytransit.RoadRunnerModel`` is a fast transit model that allows for... | hpparviREPO_NAMEPyTransitPATH_START.@PyTransit_extracted@PyTransit-master@doc@source@notebooks@models@roadrunner@roadrunner_model_example_1.ipynb@.PATH_END.py |
{
"filename": "makePlanetInput.ipynb",
"repo_name": "stevepur/DR25-occurrence-public",
"repo_path": "DR25-occurrence-public_extracted/DR25-occurrence-public-main/GKbaseline_gaiaRadCut/makePlanetInput.ipynb",
"type": "Jupyter Notebook"
} | This notebook prepares a planet candidate catalog for the stellar population in the specified input stellar catalog. It computes the reliability, corrected planet radius and includes useful planet properties such as robovetter score. It outputs two catalogs, one that contains only PCs and one that contains all KOIs.
... | stevepurREPO_NAMEDR25-occurrence-publicPATH_START.@DR25-occurrence-public_extracted@DR25-occurrence-public-main@GKbaseline_gaiaRadCut@makePlanetInput.ipynb@.PATH_END.py |
{
"filename": "_hovertext.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/histogram/_hovertext.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="hovertext", parent_name="histogram", **kwargs):
super(HovertextValidator, 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@histogram@_hovertext.py@.PATH_END.py |
{
"filename": "plot_hysteresis.py",
"repo_name": "scikit-image/scikit-image",
"repo_path": "scikit-image_extracted/scikit-image-main/doc/examples/filters/plot_hysteresis.py",
"type": "Python"
} | """
=======================
Hysteresis thresholding
=======================
*Hysteresis* is the lagging of an effect---a kind of inertia. In the
context of thresholding, it means that areas above some *low* threshold
are considered to be above the threshold *if* they are also connected
to areas above a higher, more st... | scikit-imageREPO_NAMEscikit-imagePATH_START.@scikit-image_extracted@scikit-image-main@doc@examples@filters@plot_hysteresis.py@.PATH_END.py |
{
"filename": "_sizeref.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatter/marker/_sizeref.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizerefValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="sizeref", parent_name="scatter.marker", **kwargs):
super(SizerefValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatter@marker@_sizeref.py@.PATH_END.py |
{
"filename": "test_config.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/sklearn/tests/test_config.py",
"type": "Python"
} | import builtins
import time
from concurrent.futures import ThreadPoolExecutor
import pytest
import sklearn
from sklearn import config_context, get_config, set_config
from sklearn.utils.fixes import _IS_WASM
from sklearn.utils.parallel import Parallel, delayed
def test_config_context():
assert get_config() == {
... | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@sklearn@tests@test_config.py@.PATH_END.py |
{
"filename": "exceptions.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/_plotly_utils/exceptions.py",
"type": "Python"
} | class PlotlyError(Exception):
pass
class PlotlyEmptyDataError(PlotlyError):
pass
class PlotlyGraphObjectError(PlotlyError):
def __init__(self, message="", path=(), notes=()):
"""
General graph object error for validation failures.
:param (str|unicode) message: The error message.... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@_plotly_utils@exceptions.py@.PATH_END.py |
{
"filename": "index.md",
"repo_name": "ultralytics/ultralytics",
"repo_path": "ultralytics_extracted/ultralytics-main/docs/en/tasks/index.md",
"type": "Markdown"
} | ---
comments: true
description: Explore Ultralytics YOLO11 for detection, segmentation, classification, OBB, and pose estimation with high accuracy and speed. Learn how to apply each task.
keywords: Ultralytics YOLO11, detection, segmentation, classification, oriented object detection, pose estimation, computer vision,... | ultralyticsREPO_NAMEultralyticsPATH_START.@ultralytics_extracted@ultralytics-main@docs@en@tasks@index.md@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/chart-studio/chart_studio/plotly/__init__.py",
"type": "Python"
} | """
plotly
======
This module defines functionality that requires interaction between your
local machine and Plotly. Almost all functionality used here will require a
verifiable account (username/api-key pair) and a network connection.
"""
from .plotly import (
sign_in,
update_plot_options,
get_credential... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@chart-studio@chart_studio@plotly@__init__.py@.PATH_END.py |
{
"filename": "nucliadb.ipynb",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/docs/docs/integrations/vectorstores/nucliadb.ipynb",
"type": "Jupyter Notebook"
} | # NucliaDB
You can use a local NucliaDB instance or use [Nuclia Cloud](https://nuclia.cloud).
When using a local instance, you need a Nuclia Understanding API key, so your texts are properly vectorized and indexed. You can get a key by creating a free account at [https://nuclia.cloud](https://nuclia.cloud), and then ... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@docs@docs@integrations@vectorstores@nucliadb.ipynb@.PATH_END.py |
{
"filename": "tl_dish.py",
"repo_name": "TianlaiProject/tlpipe",
"repo_path": "tlpipe_extracted/tlpipe-master/tlpipe/map/drift/telescope/tl_dish.py",
"type": "Python"
} | import os
import abc
import numpy as np
from scipy.special import jn
from cora.util import coord
from ..core import telescope
def ang_conv(ang):
"""
Covert the string represents of angle in degree to float number in degree.
Parameters
----------
ang : string
string represents the angle i... | TianlaiProjectREPO_NAMEtlpipePATH_START.@tlpipe_extracted@tlpipe-master@tlpipe@map@drift@telescope@tl_dish.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "OSSOS/SurveySimulator",
"repo_path": "SurveySimulator_extracted/SurveySimulator-master/python/README.md",
"type": "Markdown"
} | ## The python version of the Survey Simulator
The python implementation creates a `module` using the `F95` source code and then build a set of
python classes to interact with the simulator via the `F95` compiled module `ossssim.SurveySubsF95`
The python code is documented and `pydoc` provides some details on how to ... | OSSOSREPO_NAMESurveySimulatorPATH_START.@SurveySimulator_extracted@SurveySimulator-master@python@README.md@.PATH_END.py |
{
"filename": "val.md",
"repo_name": "ultralytics/ultralytics",
"repo_path": "ultralytics_extracted/ultralytics-main/docs/en/reference/models/yolo/segment/val.md",
"type": "Markdown"
} | ---
description: Explore the YOLO Segmentation Validator module for validating segment models. Understand its usage, metrics, and implementation within the Ultralytics framework.
keywords: YOLO, segmentation, validator, Ultralytics, model validation, machine learning, deep learning, AI, computer vision
---
# Reference... | ultralyticsREPO_NAMEultralyticsPATH_START.@ultralytics_extracted@ultralytics-main@docs@en@reference@models@yolo@segment@val.md@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "athob/py-ananke",
"repo_path": "py-ananke_extracted/py-ananke-main/src/ananke/utils.py",
"type": "Python"
} | #!/usr/bin/env python
"""
Module miscellaneous utilities
"""
from typing import Optional, List
import re
import docstring_parser as DS_parser
import pandas as pd
from Galaxia_ananke import utils as Gutils
__all__ = ['compare_given_and_required', 'confirm_equal_length_arrays_in_dict', 'RecordingDataFrame', 'extract_pa... | athobREPO_NAMEpy-anankePATH_START.@py-ananke_extracted@py-ananke-main@src@ananke@utils.py@.PATH_END.py |
{
"filename": "O1O2data.py",
"repo_name": "CosmoStatGW/MGCosmoPop",
"repo_path": "MGCosmoPop_extracted/MGCosmoPop-master/MGCosmoPop/dataStructures/O1O2data.py",
"type": "Python"
} | #!/usr/bin/env python3
# Copyright (c) 2021 Michele Mancarella <michele.mancarella@unige.ch>
#
# All rights reserved. Use of this source code is governed by a modified BSD
# license that can be found in the LICENSE file.
from .ABSdata import Data, LVCData
import numpy as np
import astropy.units as u
import h... | CosmoStatGWREPO_NAMEMGCosmoPopPATH_START.@MGCosmoPop_extracted@MGCosmoPop-master@MGCosmoPop@dataStructures@O1O2data.py@.PATH_END.py |
{
"filename": "skymap.py",
"repo_name": "Fermipy/fermipy",
"repo_path": "fermipy_extracted/fermipy-master/fermipy/skymap.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import absolute_import, division, print_function
import copy
import numpy as np
import healpy as hp
from scipy.interpolate import RegularGridInterpolator
from scipy.ndimage import map_coordinates
from astropy.io import fits
from astropy.wcs... | FermipyREPO_NAMEfermipyPATH_START.@fermipy_extracted@fermipy-master@fermipy@skymap.py@.PATH_END.py |
{
"filename": "base.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/src/amuse/io/base.py",
"type": "Python"
} | import textwrap
import struct
import numpy
import os.path
from amuse.support.core import late
from amuse.support import exceptions
registered_fileformat_processors = {}
class IoException(exceptions.CoreException):
formatstring = "IO exception: {0}"
class UnsupportedFormatException(IoException):
"""Raised ... | amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@src@amuse@io@base.py@.PATH_END.py |
{
"filename": "tinygp_multidimensional_matern32_activity.py",
"repo_name": "LucaMalavolta/PyORBIT",
"repo_path": "PyORBIT_extracted/PyORBIT-main/pyorbit/models/tinygp_multidimensional_matern32_activity.py",
"type": "Python"
} | from pyorbit.subroutines.common import *
from pyorbit.models.abstract_model import *
from pyorbit.keywords_definitions import *
from scipy.linalg import cho_factor, cho_solve, lapack, LinAlgError
from scipy import matrix, spatial
import sys
__all__ = ['TinyGP_Multidimensional_Matern32Activity']
try:
import jax
... | LucaMalavoltaREPO_NAMEPyORBITPATH_START.@PyORBIT_extracted@PyORBIT-main@pyorbit@models@tinygp_multidimensional_matern32_activity.py@.PATH_END.py |
{
"filename": "test_convolve_kernels.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/astropy/convolution/tests/test_convolve_kernels.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import itertools
import pytest
import numpy as np
from numpy.testing import assert_almost_equal
from ..convolve import convolve, convolve_fft
fr... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@astropy@convolution@tests@test_convolve_kernels.py@.PATH_END.py |
{
"filename": "tess_io.py",
"repo_name": "yuliang419/AstroNet-Triage",
"repo_path": "AstroNet-Triage_extracted/AstroNet-Triage-master/light_curve_util/tess_io.py",
"type": "Python"
} | # Copyright 2018 Liang Yu.
#
# 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, so... | yuliang419REPO_NAMEAstroNet-TriagePATH_START.@AstroNet-Triage_extracted@AstroNet-Triage-master@light_curve_util@tess_io.py@.PATH_END.py |
{
"filename": "demo_MBS_collision_trimesh.py",
"repo_name": "projectchrono/chrono",
"repo_path": "chrono_extracted/chrono-main/src/demos/python/mbs/demo_MBS_collision_trimesh.py",
"type": "Python"
} | # =============================================================================
# PROJECT CHRONO - http://projectchrono.org
#
# Copyright (c) 2019 projectchrono.org
# All rights reserved.
#
# Use of this source code is governed by a BSD-style license that can be found
# in the LICENSE file at the top level of the distr... | projectchronoREPO_NAMEchronoPATH_START.@chrono_extracted@chrono-main@src@demos@python@mbs@demo_MBS_collision_trimesh.py@.PATH_END.py |
{
"filename": "avroUtils.py",
"repo_name": "jlenain/flaapluc",
"repo_path": "flaapluc_extracted/flaapluc-master/flaapluc/avroUtils.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Time-stamp: "2022-11-17 12:16:18 jlenain"
import io
import json
import fastavro
# From https://github.com/astrolabsoftware/fink-client/blob/master/fink_client/avroUtils.py
def encode_into_avro(alert: dict, schema_file: str) -> str:
"""Encode a dict record into a... | jlenainREPO_NAMEflaaplucPATH_START.@flaapluc_extracted@flaapluc-master@flaapluc@avroUtils.py@.PATH_END.py |
{
"filename": "CODE_OF_CONDUCT.md",
"repo_name": "RadioAstronomySoftwareGroup/pyuvdata",
"repo_path": "pyuvdata_extracted/pyuvdata-main/CODE_OF_CONDUCT.md",
"type": "Markdown"
} | # Contributor Covenant Code of Conduct
## Our Pledge
In the interest of fostering an open and welcoming environment, we as
contributors and maintainers pledge to making participation in our project and
our community a harassment-free experience for everyone, regardless of age, body
size, disability, ethnicity, sex ch... | RadioAstronomySoftwareGroupREPO_NAMEpyuvdataPATH_START.@pyuvdata_extracted@pyuvdata-main@CODE_OF_CONDUCT.md@.PATH_END.py |
{
"filename": "make_para_maps.ipynb",
"repo_name": "SpandanCh/Barnard5_filaments",
"repo_path": "Barnard5_filaments_extracted/Barnard5_filaments-main/make_para_maps.ipynb",
"type": "Jupyter Notebook"
} | ```python
import numpy as np
import matplotlib.pyplot as plt
from astropy.io import fits
import pyspeckit
from matplotlib.colors import ListedColormap
```
```python
```
## Read data files
```python
nh3_11, hd_amm = fits.getdata('datacubes/nh3_11_whole_cube_8as_3px.fits', header=True)
npeaks, hd2d = fits.getdata(... | SpandanChREPO_NAMEBarnard5_filamentsPATH_START.@Barnard5_filaments_extracted@Barnard5_filaments-main@make_para_maps.ipynb@.PATH_END.py |
{
"filename": "_column.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/map/domain/_column.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(self, plotly_name="column", parent_name="layout.map.domain", **kwargs):
super(ColumnValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@map@domain@_column.py@.PATH_END.py |
{
"filename": "time_varying.md",
"repo_name": "MWATelescope/mwa_hyperdrive",
"repo_path": "mwa_hyperdrive_extracted/mwa_hyperdrive-main/mdbook/src/user/di_cal/advanced/time_varying.md",
"type": "Markdown"
} | # Varying solutions over time
~~~admonish tip
See [this page](../../../defs/blocks.md) for information on timeblocks.
~~~
By default, `di-calibrate` uses only one "timeblock", i.e. all data timesteps
are averaged together during calibration. This provides good signal-to-noise,
but it is possible that calibration is i... | MWATelescopeREPO_NAMEmwa_hyperdrivePATH_START.@mwa_hyperdrive_extracted@mwa_hyperdrive-main@mdbook@src@user@di_cal@advanced@time_varying.md@.PATH_END.py |
{
"filename": "_stylesrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/sankey/link/hoverlabel/font/_stylesrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StylesrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="stylesrc",
parent_name="sankey.link.hoverlabel.font",
**kwargs,
):
super(StylesrcValidator, self).__init__(
plotly_name=p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@sankey@link@hoverlabel@font@_stylesrc.py@.PATH_END.py |
{
"filename": "auth.md",
"repo_name": "ultralytics/ultralytics",
"repo_path": "ultralytics_extracted/ultralytics-main/docs/en/reference/hub/auth.md",
"type": "Markdown"
} | ---
description: Learn how to manage API key and cookie-based authentication in Ultralytics with the Auth class. Step-by-step guide for effective authentication.
keywords: Ultralytics, authentication, API key, cookies, Auth class, YOLO, API, guide
---
# Reference for `ultralytics/hub/auth.py`
!!! note
This file ... | ultralyticsREPO_NAMEultralyticsPATH_START.@ultralytics_extracted@ultralytics-main@docs@en@reference@hub@auth.md@.PATH_END.py |
{
"filename": "test_params_estim.py",
"repo_name": "mavrix93/LightCurvesClassifier",
"repo_path": "LightCurvesClassifier_extracted/LightCurvesClassifier-master/test/stars_processing/test_params_estim.py",
"type": "Python"
} | """
Created on Jan 25, 2017
@author: Martin Vo
"""
import unittest
import numpy as np
from lcc.entities.star import Star
from lcc.stars_processing.deciders.supervised_deciders import QDADec
from lcc.stars_processing.descriptors.abbe_value_descr import AbbeValueDescr
from lcc.stars_processing.descriptors.curves_shap... | mavrix93REPO_NAMELightCurvesClassifierPATH_START.@LightCurvesClassifier_extracted@LightCurvesClassifier-master@test@stars_processing@test_params_estim.py@.PATH_END.py |
{
"filename": "testidefix.py",
"repo_name": "idefix-code/idefix",
"repo_path": "idefix_extracted/idefix-master/test/Planet/PlanetSpiral2D/python/testidefix.py",
"type": "Python"
} | #!/usr/bin/env python
# coding: utf-8
import sys
import os
sys.path.append(os.getenv("IDEFIX_DIR"))
from pytools.vtk_io import readVTK
import numpy as np
import matplotlib.pyplot as plt
on = 3
ds = readVTK(f"../data.{on:04d}.vtk", geometry="polar")
Rmed = ds.x
phimed = (ds.y/(np.pi))%2*np.pi-np.pi
dR = np.ediff1d(d... | idefix-codeREPO_NAMEidefixPATH_START.@idefix_extracted@idefix-master@test@Planet@PlanetSpiral2D@python@testidefix.py@.PATH_END.py |
{
"filename": "objects.KDE.ipynb",
"repo_name": "mwaskom/seaborn",
"repo_path": "seaborn_extracted/seaborn-master/doc/_docstrings/objects.KDE.ipynb",
"type": "Jupyter Notebook"
} | ```python
import seaborn.objects as so
from seaborn import load_dataset
penguins = load_dataset("penguins")
```
This stat estimates transforms observations into a smooth function representing the estimated density:
```python
p = so.Plot(penguins, x="flipper_length_mm")
p.add(so.Area(), so.KDE())
```
Adjust the smoothi... | mwaskomREPO_NAMEseabornPATH_START.@seaborn_extracted@seaborn-master@doc@_docstrings@objects.KDE.ipynb@.PATH_END.py |
{
"filename": "linalg.py",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/jax/_src/numpy/linalg.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... | googleREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@_src@numpy@linalg.py@.PATH_END.py |
{
"filename": "_ticks.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_ticks.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="ticks", parent_name="choroplethmapbox.colorbar", **kwargs
):
super(TicksValidator, self).__init__(
plotly_name=plotly_name,
paren... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@choroplethmapbox@colorbar@_ticks.py@.PATH_END.py |
{
"filename": "_tickvalssrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatterternary/marker/colorbar/_tickvalssrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="tickvalssrc",
parent_name="scatterternary.marker.colorbar",
**kwargs
):
super(TickvalssrcValidator, self).__init__(
pl... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatterternary@marker@colorbar@_tickvalssrc.py@.PATH_END.py |
{
"filename": "FitsHandlers.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/GalfitModule/Classes/FitsHandlers.py",
"type": "Python"
} | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import os
import sys
from os.path import join as pj
from os.path import exists
import subprocess
from copy import deepcopy
from IPython import get_ipython
from astropy.io import fits
import gc
import psutil
import numpy as np
import scipy.linalg as slg
from scipy.stats... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@GalfitModule@Classes@FitsHandlers.py@.PATH_END.py |
{
"filename": "castor_source.py",
"repo_name": "AndreaSimongini/CASTOR",
"repo_path": "CASTOR_extracted/CASTOR-main/Scripts/castor_source.py",
"type": "Python"
} | ######################################################################################################
# ######################################################
# ____ _ ____ _____ ___ ____ ################################. #############... | AndreaSimonginiREPO_NAMECASTORPATH_START.@CASTOR_extracted@CASTOR-main@Scripts@castor_source.py@.PATH_END.py |
{
"filename": "_showspikes.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/scene/yaxis/_showspikes.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowspikesValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="showspikes", parent_name="layout.scene.yaxis", **kwargs
):
super(ShowspikesValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@scene@yaxis@_showspikes.py@.PATH_END.py |
{
"filename": "_x.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/candlestick/_x.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="x", parent_name="candlestick", **kwargs):
super(XValidator, 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@candlestick@_x.py@.PATH_END.py |
{
"filename": "params.py",
"repo_name": "JayWadekar/gwIAS-HM",
"repo_path": "gwIAS-HM_extracted/gwIAS-HM-main/Pipeline/params.py",
"type": "Python"
} | # Parameters used in data analysis
# Template bank parameters
# -----------------------------------------------------------------------------
# Frequency range (Hz)
# Sets minimum frequency of waveform generation
FMIN = 20.
# HM_search = True
# if HM_search: FMAX = 512.
# else: FMAX = 1024.
FMAX = 1024.
NF_GEN = 10... | JayWadekarREPO_NAMEgwIAS-HMPATH_START.@gwIAS-HM_extracted@gwIAS-HM-main@Pipeline@params.py@.PATH_END.py |
{
"filename": "gwb_spectral_variance.ipynb",
"repo_name": "astrolamb/pop_synth",
"repo_path": "pop_synth_extracted/pop_synth-main/notebooks/gwb_spectral_variance.ipynb",
"type": "Jupyter Notebook"
} | Based on a notebook by Stephen Taylor
This notebook uses a very basic population synthesis model to test out the analytical relations found in Lamb & Taylor 2024
```python
import numpy as np
import scipy.stats as ss
import matplotlib.pyplot as plt
from astropy.cosmology import FlatLambdaCDM
from astropy.constants im... | astrolambREPO_NAMEpop_synthPATH_START.@pop_synth_extracted@pop_synth-main@notebooks@gwb_spectral_variance.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "mit-ll/spacegym-kspdg",
"repo_path": "spacegym-kspdg_extracted/spacegym-kspdg-main/src/kspdg/private_src/python3_9/Linux_x86_64/pyarmor_runtime_000000/__init__.py",
"type": "Python"
} | # Pyarmor 8.5.11 (trial), 000000, 2024-12-09T10:19:41.411263
from .pyarmor_runtime import __pyarmor__
| mit-llREPO_NAMEspacegym-kspdgPATH_START.@spacegym-kspdg_extracted@spacegym-kspdg-main@src@kspdg@private_src@python3_9@Linux_x86_64@pyarmor_runtime_000000@__init__.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "mneeleman/qubefit",
"repo_path": "qubefit_extracted/qubefit-master/doc/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... | mneelemanREPO_NAMEqubefitPATH_START.@qubefit_extracted@qubefit-master@doc@conf.py@.PATH_END.py |
{
"filename": "_color.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/contourcarpet/contours/labelfont/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self,
plotly_name="color",
parent_name="contourcarpet.contours.labelfont",
**kwargs,
):
super(ColorValidator, self).__init__(
plotly_name=plo... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@contourcarpet@contours@labelfont@_color.py@.PATH_END.py |
{
"filename": "rundap.py",
"repo_name": "sdss/mangadap",
"repo_path": "mangadap_extracted/mangadap-main/mangadap/scripts/rundap.py",
"type": "Python"
} |
from IPython import embed
from mangadap.scripts import scriptbase
class RunDap(scriptbase.ScriptBase):
"""
Simple wrapper class for the rundap script.
"""
@classmethod
def name(cls):
"""
Return the name of the executable.
"""
return 'rundap'
@classmethod
... | sdssREPO_NAMEmangadapPATH_START.@mangadap_extracted@mangadap-main@mangadap@scripts@rundap.py@.PATH_END.py |
{
"filename": "_layer.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/newshape/_layer.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LayerValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="layer", parent_name="layout.newshape", **kwargs):
super(LayerValidator, 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@newshape@_layer.py@.PATH_END.py |
{
"filename": "demo_MBS_spring.py",
"repo_name": "projectchrono/chrono",
"repo_path": "chrono_extracted/chrono-main/src/demos/python/mbs/demo_MBS_spring.py",
"type": "Python"
} | # =============================================================================
# PROJECT CHRONO - http://projectchrono.org
#
# Copyright (c) 2014 projectchrono.org
# All rights reserved.
#
# Use of this source code is governed by a BSD-style license that can be found
# in the LICENSE file at the top level of the distr... | projectchronoREPO_NAMEchronoPATH_START.@chrono_extracted@chrono-main@src@demos@python@mbs@demo_MBS_spring.py@.PATH_END.py |
{
"filename": "test_utils.py",
"repo_name": "HERA-Team/hera_opm",
"repo_path": "hera_opm_extracted/hera_opm-main/hera_opm/tests/test_utils.py",
"type": "Python"
} | """Tests for utils.py"""
import pytest
import hera_opm.utils as utils
def test_get_makeflow_ArgumentParser():
# get an argument parser and make sure it behaves as expected
a = utils.get_makeflow_ArgumentParser()
config_file = "config_file.cfg"
output_file = "mf.log"
obsids = ["zen.2458000.12345.x... | HERA-TeamREPO_NAMEhera_opmPATH_START.@hera_opm_extracted@hera_opm-main@hera_opm@tests@test_utils.py@.PATH_END.py |
{
"filename": "_hoverlabel.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/scene/annotation/_hoverlabel.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="hoverlabel", parent_name="layout.scene.annotation", **kwargs
):
super(HoverlabelValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@scene@annotation@_hoverlabel.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "hahnec/torchimize",
"repo_path": "torchimize_extracted/torchimize-master/torchimize/__init__.py",
"type": "Python"
} | __author__ = "Christopher Hahne"
__email__ = "inbox@christopherhahne.de"
__license__ = """
Copyright (c) 2022 Christopher Hahne <inbox@christopherhahne.de>
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 S... | hahnecREPO_NAMEtorchimizePATH_START.@torchimize_extracted@torchimize-master@torchimize@__init__.py@.PATH_END.py |
{
"filename": "test_make_moments.py",
"repo_name": "Astroua/TurbuStat",
"repo_path": "TurbuStat_extracted/TurbuStat-master/turbustat/moments/tests/test_make_moments.py",
"type": "Python"
} | # Licensed under an MIT open source license - see LICENSE
from __future__ import print_function, absolute_import, division
import numpy.testing as npt
import astropy.units as u
import os
from glob import glob
import pytest
from .. import Moments
from ...tests._testing_data import dataset1, sc1, props1
@pytest.mark... | AstrouaREPO_NAMETurbuStatPATH_START.@TurbuStat_extracted@TurbuStat-master@turbustat@moments@tests@test_make_moments.py@.PATH_END.py |
{
"filename": "maps.py",
"repo_name": "simonsobs/nemo",
"repo_path": "nemo_extracted/nemo-main/nemo/maps.py",
"type": "Python"
} | """
This module contains tools for manipulating maps.
"""
from astLib import *
from scipy import ndimage
from scipy import interpolate
from scipy.signal import convolve as scipy_convolve
from scipy import optimize
import astropy.io.fits as pyfits
import astropy.table as atpy
import astropy.stats as apyStats
import m... | simonsobsREPO_NAMEnemoPATH_START.@nemo_extracted@nemo-main@nemo@maps.py@.PATH_END.py |
{
"filename": "imagemaker.py",
"repo_name": "spacetelescope/hstaxe",
"repo_path": "hstaxe_extracted/hstaxe-main/hstaxe/axesrc/imagemaker.py",
"type": "Python"
} | """
See LICENSE.txt
"""
import logging
import os
from astropy.io import fits
from hstaxe import axeerror
from hstaxe.config import get_random_filename
from . import configfile
# make sure there is a logger
_log = logging.getLogger(__name__)
class DummyImages:
"""
Small class to create dummy images for the... | spacetelescopeREPO_NAMEhstaxePATH_START.@hstaxe_extracted@hstaxe-main@hstaxe@axesrc@imagemaker.py@.PATH_END.py |
{
"filename": "rain_check_images.py",
"repo_name": "jsnguyen/rain",
"repo_path": "rain_extracted/rain-main/rain_check_images.py",
"type": "Python"
} | import os
import time
import numpy as np
from astropy.io import fits
from tqdm import tqdm
from rain import rain
def distortion(index_x, index_y, x_dist, y_dist):
'''
-- Description:
performs the distortion correction according to x_dist and y_dist
assumes that x_dist and y_dist are both functions of... | jsnguyenREPO_NAMErainPATH_START.@rain_extracted@rain-main@rain_check_images.py@.PATH_END.py |
{
"filename": "local.py",
"repo_name": "ML4GW/hermes",
"repo_path": "hermes_extracted/hermes-main/hermes/quiver/io/local.py",
"type": "Python"
} | import glob
import os
import shutil
from dataclasses import dataclass
from pathlib import Path
from typing import TYPE_CHECKING, List, Optional
from hermes.quiver.io.exceptions import NoFilesFoundError
from hermes.quiver.io.file_system import FileSystem
if TYPE_CHECKING:
from hermes.types import IO_TYPE
@datacl... | ML4GWREPO_NAMEhermesPATH_START.@hermes_extracted@hermes-main@hermes@quiver@io@local.py@.PATH_END.py |
{
"filename": "script_example_model+fit_2_lines.ipynb",
"repo_name": "thomasorb/orcs",
"repo_path": "orcs_extracted/orcs-master/docs/_build/doctrees/nbsphinx/script_example_model+fit_2_lines.ipynb",
"type": "Jupyter Notebook"
} | # Modelling and fitting a spectrum with two resolved lines
Based on what we have seen in the example [Modelling and fitting one emission line](./script_example_model+fit_1_line.ipynb) we will model and fit a spectrum with two resolved lines. This example will then be used in [Modelling and fitting two unresolved emiss... | thomasorbREPO_NAMEorcsPATH_START.@orcs_extracted@orcs-master@docs@_build@doctrees@nbsphinx@script_example_model+fit_2_lines.ipynb@.PATH_END.py |
{
"filename": "test_gcs.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/io/test_gcs.py",
"type": "Python"
} | from io import BytesIO
import os
import pathlib
import tarfile
import zipfile
import numpy as np
import pytest
from pandas.compat.pyarrow import pa_version_under17p0
from pandas import (
DataFrame,
Index,
date_range,
read_csv,
read_excel,
read_json,
read_parquet,
)
import pandas._testing ... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@io@test_gcs.py@.PATH_END.py |
{
"filename": "test_h_voxel_volume.py",
"repo_name": "jrenaud90/TidalPy",
"repo_path": "TidalPy_extracted/TidalPy-main/Tests/Test_Old/Test_SetB_Package/test_h_voxel_volume.py",
"type": "Python"
} | """ Tests for spherical helper function to calculate the volume of spherical voxels. """
import numpy as np
import TidalPy
from TidalPy.utilities.spherical_helper.volume import calculate_voxel_volumes, calculate_voxel_volumes_npy
planet_radius = 6300.0e3
def test_voxel_volume_numba():
""" Test the voxel volu... | jrenaud90REPO_NAMETidalPyPATH_START.@TidalPy_extracted@TidalPy-main@Tests@Test_Old@Test_SetB_Package@test_h_voxel_volume.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattergeo/marker/colorbar/title/font/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._size import SizeValidator
from ._family import FamilyValidator
from ._color import ColorValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
["._siz... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattergeo@marker@colorbar@title@font@__init__.py@.PATH_END.py |
{
"filename": "test_classifier.py",
"repo_name": "morpheus-project/morpheus",
"repo_path": "morpheus_extracted/morpheus-master/morpheus/tests/test_classifier.py",
"type": "Python"
} | # MIT License
# Copyright 2018 Ryan Hausen
#
# 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, merge, publis... | morpheus-projectREPO_NAMEmorpheusPATH_START.@morpheus_extracted@morpheus-master@morpheus@tests@test_classifier.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/choroplethmapbox/stream/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._token import TokenValidator
from ._maxpoints import MaxpointsValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@choroplethmapbox@stream@__init__.py@.PATH_END.py |
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