metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "proj3d.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/mpl_toolkits/mplot3d/proj3d.py",
"type": "Python"
} | # 3dproj.py
#
"""
Various transforms used for by the 3D code
"""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
from six.moves import zip
import numpy as np
import numpy.linalg as linalg
def line2d(p0, p1):
"""
Return 2D equation of l... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@mpl_toolkits@mplot3d@proj3d.py@.PATH_END.py |
{
"filename": "losses.py",
"repo_name": "astromer-science/main-code",
"repo_path": "main-code_extracted/main-code-main/core/losses.py",
"type": "Python"
} | import tensorflow as tf
from tensorflow.keras.losses import BinaryCrossentropy
from tensorflow.nn import (sigmoid_cross_entropy_with_logits,
softmax_cross_entropy_with_logits)
def custom_rmse(y_true, y_pred, sample_weight=None, mask=None):
inp_shp = tf.shape(y_true)
residuals = tf.sq... | astromer-scienceREPO_NAMEmain-codePATH_START.@main-code_extracted@main-code-main@core@losses.py@.PATH_END.py |
{
"filename": "_exponentformat.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/heatmapgl/colorbar/_exponentformat.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="exponentformat", parent_name="heatmapgl.colorbar", **kwargs
):
super(ExponentformatValidator, self).__init__(
plotly_name=plotly_nam... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@heatmapgl@colorbar@_exponentformat.py@.PATH_END.py |
{
"filename": "cat_hsc_ssp.py",
"repo_name": "HETDEX/elixer",
"repo_path": "elixer_extracted/elixer-main/elixer/cat_hsc_ssp.py",
"type": "Python"
} | from __future__ import print_function
import scipy.interpolate
"""
This is for the HSC SSP data. Cloned originally from hsc_nep.py code, but modified extensively
"""
try:
from elixer import global_config as G
from elixer import science_image
from elixer import cat_base
from elixer import match_summar... | HETDEXREPO_NAMEelixerPATH_START.@elixer_extracted@elixer-main@elixer@cat_hsc_ssp.py@.PATH_END.py |
{
"filename": "test_subpkg_imports.py",
"repo_name": "astropy/halotools",
"repo_path": "halotools_extracted/halotools-master/halotools/tests/test_subpkg_imports.py",
"type": "Python"
} | """ Testing module to ensure that all sub-packages can be imported.
"""
def test_import_sim_manager():
from .. import sim_manager
def test_import_empirical_models():
from .. import empirical_models
def test_import_mock_observables():
from .. import mock_observables
def test_import_utils():
from ... | astropyREPO_NAMEhalotoolsPATH_START.@halotools_extracted@halotools-master@halotools@tests@test_subpkg_imports.py@.PATH_END.py |
{
"filename": "export_back_compat_pallas_test.py",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/tests/pallas/export_back_compat_pallas_test.py",
"type": "Python"
} | # Copyright 2024 The JAX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | googleREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@tests@pallas@export_back_compat_pallas_test.py@.PATH_END.py |
{
"filename": "bao_correlation_Ding2018.py",
"repo_name": "Samreay/Barry",
"repo_path": "Barry_extracted/Barry-master/barry/models/bao_correlation_Ding2018.py",
"type": "Python"
} | import sys
sys.path.append("../..")
from barry.models import PowerDing2018
from barry.models.bao_correlation import CorrelationFunctionFit
import numpy as np
class CorrDing2018(CorrelationFunctionFit):
"""xi(s) model inspired from Ding 2018.
See https://ui.adsabs.harvard.edu/abs/2018MNRAS.479.1021D for deta... | SamreayREPO_NAMEBarryPATH_START.@Barry_extracted@Barry-master@barry@models@bao_correlation_Ding2018.py@.PATH_END.py |
{
"filename": "fit_utils.py",
"repo_name": "gmbrandt/HTOF",
"repo_path": "HTOF_extracted/HTOF-main/htof/utils/fit_utils.py",
"type": "Python"
} | """
Module for generating the chi-squared matrix (and vectors) for the N parameter fit to the epoch astrometry.
"""
import numpy as np
from htof.polynomial import polynomial
FIT_BASIS = polynomial.TaylorSeries
FIT_VANDER = polynomial.taylorvander
# FIT_VANDER must follow np.polynomial.polynomial.Polynomial and
# np.p... | gmbrandtREPO_NAMEHTOFPATH_START.@HTOF_extracted@HTOF-main@htof@utils@fit_utils.py@.PATH_END.py |
{
"filename": "rep_vs_one.py",
"repo_name": "TRASAL/frbpoppy",
"repo_path": "frbpoppy_extracted/frbpoppy-master/tests/misc/rep_vs_one.py",
"type": "Python"
} | """Generate a repeater population and split into repeaters and one-offs."""
import numpy as np
from frbpoppy import CosmicPopulation, Survey, SurveyPopulation
from frbpoppy import split_pop, pprint, plot
DAYS = 1
r = CosmicPopulation.simple(int(1e4), n_days=DAYS, repeaters=True)
r.set_time(model='regular', rate=2)
r... | TRASALREPO_NAMEfrbpoppyPATH_START.@frbpoppy_extracted@frbpoppy-master@tests@misc@rep_vs_one.py@.PATH_END.py |
{
"filename": "fig_poly_simple.py",
"repo_name": "rhdtownsend/gyre",
"repo_path": "gyre_extracted/gyre-master/docs/source/appendices/build-poly/fig_poly_simple.py",
"type": "Python"
} | #!/usr/bin/env python
#
# Simple polytrope plot
# Imports
import matplotlib.pyplot as plt
import matplotlib.ticker as tkr
import numpy as np
from pygyre import *
from colors import *
# Plot settings
plt.style.use('web.mplstyle')
# Read plot data
tab = read_model('poly.simple.h5')
# Do the plot
fig, ax = plt.su... | rhdtownsendREPO_NAMEgyrePATH_START.@gyre_extracted@gyre-master@docs@source@appendices@build-poly@fig_poly_simple.py@.PATH_END.py |
{
"filename": "_familysrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/_familysrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="familysrc", parent_name="heatmap.hoverlabel.font", **kwargs
):
super(FamilysrcValidator, self).__init__(
plotly_name=plotly_name,
pa... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@heatmap@hoverlabel@font@_familysrc.py@.PATH_END.py |
{
"filename": "_bgcolor.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/bar/marker/pattern/_bgcolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="bgcolor", parent_name="bar.marker.pattern", **kwargs
):
super(BgcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@bar@marker@pattern@_bgcolor.py@.PATH_END.py |
{
"filename": "core.py",
"repo_name": "adrn/gala",
"repo_path": "gala_extracted/gala-main/gala/integrate/core.py",
"type": "Python"
} | """ Base class for integrators. """
from abc import ABCMeta, abstractmethod
# Third-party
import numpy as np
from astropy.utils.decorators import deprecated
# This project
from gala.units import UnitSystem, DimensionlessUnitSystem
__all__ = ["Integrator"]
class Integrator(metaclass=ABCMeta):
def __init__(
... | adrnREPO_NAMEgalaPATH_START.@gala_extracted@gala-main@gala@integrate@core.py@.PATH_END.py |
{
"filename": "runNuFloor_SI.py",
"repo_name": "cajohare/NeutrinoFog",
"repo_path": "NeutrinoFog_extracted/NeutrinoFog-main/src/runNuFloor_SI.py",
"type": "Python"
} | #==============================================================================#
import sys
import os
sys.path.append('../src')
from numpy import *
from Params import *
from NeutrinoFuncs import BinnedNeutrinoRates
from WIMPFuncs import BinnedWIMPRate,MeanInverseSpeed_SHM,C_SI
from LabFuncs import FormFactorHelm
from L... | cajohareREPO_NAMENeutrinoFogPATH_START.@NeutrinoFog_extracted@NeutrinoFog-main@src@runNuFloor_SI.py@.PATH_END.py |
{
"filename": "rms_norm.py",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/jax/experimental/pallas/ops/gpu/rms_norm.py",
"type": "Python"
} | # Copyright 2023 The JAX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | googleREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@experimental@pallas@ops@gpu@rms_norm.py@.PATH_END.py |
{
"filename": "family.py",
"repo_name": "pynbody/pynbody",
"repo_path": "pynbody_extracted/pynbody-master/pynbody/family.py",
"type": "Python"
} | """
Defines the :class:`Family` class which represents families of particles
(e.g. dm, gas, star particles).
Most users will not need to use this module directly. New families of particles
can, however, be added interactively by creating new instances of the
:class:`Family` class. See the example in the class documen... | pynbodyREPO_NAMEpynbodyPATH_START.@pynbody_extracted@pynbody-master@pynbody@family.py@.PATH_END.py |
{
"filename": "config.py",
"repo_name": "grzeimann/Diagnose",
"repo_path": "Diagnose_extracted/Diagnose-main/config.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu May 20 15:06:16 2021
@author: gregz
"""
import numpy as np
stellar_template_file = 'miles_pca_ncomp_10.fits'
vbins = np.arange(-500, 550, 50)
zbins_gal = np.arange(0.005, 0.471, .001)
zbins_qso = np.arange(0.1, 4.01, 0.01) | grzeimannREPO_NAMEDiagnosePATH_START.@Diagnose_extracted@Diagnose-main@config.py@.PATH_END.py |
{
"filename": "_style.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattermap/legendgrouptitle/font/_style.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StyleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="style",
parent_name="scattermap.legendgrouptitle.font",
**kwargs,
):
super(StyleValidator, self).__init__(
plotly_nam... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattermap@legendgrouptitle@font@_style.py@.PATH_END.py |
{
"filename": "telegram.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/document_loaders/telegram.py",
"type": "Python"
} | from __future__ import annotations
import asyncio
import json
from pathlib import Path
from typing import TYPE_CHECKING, Dict, List, Optional, Union
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
if TYPE_CHECKING:
import pandas as pd
from telet... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@document_loaders@telegram.py@.PATH_END.py |
{
"filename": "view_shell_basemap.py",
"repo_name": "geodynamics/Rayleigh",
"repo_path": "Rayleigh_extracted/Rayleigh-main/post_processing/legacy/python/view_shell_basemap.py",
"type": "Python"
} | #
# Copyright (C) 2018 by the authors of the RAYLEIGH code.
#
# This file is part of RAYLEIGH.
#
# RAYLEIGH 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, or (at your option)
# any lat... | geodynamicsREPO_NAMERayleighPATH_START.@Rayleigh_extracted@Rayleigh-main@post_processing@legacy@python@view_shell_basemap.py@.PATH_END.py |
{
"filename": "serialization.py",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/jax/experimental/array_serialization/serialization.py",
"type": "Python"
} | # Copyright 2021 The JAX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | googleREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@experimental@array_serialization@serialization.py@.PATH_END.py |
{
"filename": "test_basic.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/linalg/tests/test_basic.py",
"type": "Python"
} | import itertools
import numpy as np
from numpy import (arange, array, dot, zeros, identity, conjugate, transpose,
float32)
from numpy.random import random
from numpy.testing import (assert_equal, assert_almost_equal, assert_,
assert_array_almost_equal, assert_allclose,
... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@linalg@tests@test_basic.py@.PATH_END.py |
{
"filename": "input_pipeline_test.py",
"repo_name": "google/flax",
"repo_path": "flax_extracted/flax-main/examples/wmt/input_pipeline_test.py",
"type": "Python"
} | # Copyright 2024 The Flax Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | googleREPO_NAMEflaxPATH_START.@flax_extracted@flax-main@examples@wmt@input_pipeline_test.py@.PATH_END.py |
{
"filename": "variant_orbits.py",
"repo_name": "TomWagg/lsst-neocp-predictions",
"repo_path": "lsst-neocp-predictions_extracted/lsst-neocp-predictions-main/src/variant_orbits.py",
"type": "Python"
} | import astropy.units as u
from astropy.time import Time
from astropy.coordinates import SkyCoord, EarthLocation, get_sun
from astropy.visualization import quantity_support
quantity_support()
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import LogNorm
import pandas as pd
pd.set_option("disp... | TomWaggREPO_NAMElsst-neocp-predictionsPATH_START.@lsst-neocp-predictions_extracted@lsst-neocp-predictions-main@src@variant_orbits.py@.PATH_END.py |
{
"filename": "qt_yeti_hardware_settings_tab.py",
"repo_name": "jw-echelle/QtYETI",
"repo_path": "QtYETI_extracted/QtYETI-main/qt_yeti/qt_yeti_hardware_settings_tab.py",
"type": "Python"
} | from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
from dataclasses import dataclass
import sys
import os
from PyQt5.QtWidgets import QWidget
from qt_yeti.qt_yeti_general import *
from qt_yeti.qt_yeti_functions import *
#from qt_yeti.qt_yeti_hardware_settings_tab import *
import num... | jw-echelleREPO_NAMEQtYETIPATH_START.@QtYETI_extracted@QtYETI-main@qt_yeti@qt_yeti_hardware_settings_tab.py@.PATH_END.py |
{
"filename": "_size.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/histogram2dcontour/xbins/_size.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(
self, plotly_name="size", parent_name="histogram2dcontour.xbins", **kwargs
):
super(SizeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=pare... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@histogram2dcontour@xbins@_size.py@.PATH_END.py |
{
"filename": "test_pulsemodels.py",
"repo_name": "fjankowsk/scatfit",
"repo_path": "scatfit_extracted/scatfit-master/tests/test_pulsemodels.py",
"type": "Python"
} | import numpy as np
import scatfit.pulsemodels as pulsemodels
def test_normalisation_gaussian():
"""
Check that the Gaussian is correctly normalised, i.e.
has the correct fluence.
"""
plot_range = np.linspace(-400.0, 400.0, num=4000)
for fluence in np.geomspace(0.1, 1000.0, num=10):
... | fjankowskREPO_NAMEscatfitPATH_START.@scatfit_extracted@scatfit-master@tests@test_pulsemodels.py@.PATH_END.py |
{
"filename": "Tutorial-GiRaFFE_NRPy_Main_Driver_new_way.ipynb",
"repo_name": "zachetienne/nrpytutorial",
"repo_path": "nrpytutorial_extracted/nrpytutorial-master/in_progress-GiRaFFE_NRPy/Tutorial-GiRaFFE_NRPy_Main_Driver_new_way.ipynb",
"type": "Jupyter Notebook"
} | <script async src="https://www.googletagmanager.com/gtag/js?id=UA-59152712-8"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'UA-59152712-8');
</script>
# `GiRaFFE_NRPy`: Main Driver
## Author: Patrick Nelson
#... | zachetienneREPO_NAMEnrpytutorialPATH_START.@nrpytutorial_extracted@nrpytutorial-master@in_progress-GiRaFFE_NRPy@Tutorial-GiRaFFE_NRPy_Main_Driver_new_way.ipynb@.PATH_END.py |
{
"filename": "functions.py",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/jax/_src/nn/functions.py",
"type": "Python"
} | # Copyright 2019 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@nn@functions.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "pymc-devs/pymc",
"repo_path": "pymc_extracted/pymc-main/pymc/smc/__init__.py",
"type": "Python"
} | # Copyright 2024 The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | pymc-devsREPO_NAMEpymcPATH_START.@pymc_extracted@pymc-main@pymc@smc@__init__.py@.PATH_END.py |
{
"filename": "05-two_point_correlation.ipynb",
"repo_name": "aymgal/COOLEST",
"repo_path": "COOLEST_extracted/COOLEST-main/docs/notebooks/05-two_point_correlation.ipynb",
"type": "Jupyter Notebook"
} | # Test two-point correlation function
This notebook shows examples of calculating the two-point correlation function, initially for light profiles. This can also be applied to mass profiles, or residuals, in fact, any 2D field. It uses the `Analysis` class to compute effective quantities in a model-independent way.
_... | aymgalREPO_NAMECOOLESTPATH_START.@COOLEST_extracted@COOLEST-main@docs@notebooks@05-two_point_correlation.ipynb@.PATH_END.py |
{
"filename": "demo_FEA_shells.py",
"repo_name": "projectchrono/chrono",
"repo_path": "chrono_extracted/chrono-main/src/demos/python/fea/demo_FEA_shells.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@fea@demo_FEA_shells.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "spacetelescope/imexam",
"repo_path": "imexam_extracted/imexam-master/setup.py",
"type": "Python"
} | #!/usr/bin/env python
# Licensed under a 3-clause BSD style license - see LICENSE.rst
# NOTE: The configuration for the package, including the name, version, and
# other information are set in the setup.cfg file.
import sys
# First provide helpful messages if contributors try and run legacy commands
# for tests or d... | spacetelescopeREPO_NAMEimexamPATH_START.@imexam_extracted@imexam-master@setup.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "microsoft/vscode",
"repo_path": "vscode_extracted/vscode-main/extensions/npm/README.md",
"type": "Markdown"
} | # Node npm
**Notice:** This extension is bundled with Visual Studio Code. It can be disabled but not uninstalled.
## Features
### Task Running
This extension supports running npm scripts defined in the `package.json` as [tasks](https://code.visualstudio.com/docs/editor/tasks). Scripts with the name 'build', 'compil... | microsoftREPO_NAMEvscodePATH_START.@vscode_extracted@vscode-main@extensions@npm@README.md@.PATH_END.py |
{
"filename": "dtype.py",
"repo_name": "scikit-image/scikit-image",
"repo_path": "scikit-image_extracted/scikit-image-main/skimage/util/dtype.py",
"type": "Python"
} | import warnings
from warnings import warn
import numpy as np
__all__ = [
'img_as_float32',
'img_as_float64',
'img_as_float',
'img_as_int',
'img_as_uint',
'img_as_ubyte',
'img_as_bool',
'dtype_limits',
]
# Some of these may or may not be aliases depending on architecture & platform
_i... | scikit-imageREPO_NAMEscikit-imagePATH_START.@scikit-image_extracted@scikit-image-main@skimage@util@dtype.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/violin/marker/line/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._width import WidthValidator
from ._outlierwidth import OutlierwidthValidator
from ._outliercolor import OutliercolorValidator
from ._color import ColorValidator
else:
from _plotly_utils.importers impor... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@violin@marker@line@__init__.py@.PATH_END.py |
{
"filename": "_weightsrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/_weightsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WeightsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="weightsrc", parent_name="heatmap.hoverlabel.font", **kwargs
):
super(WeightsrcValidator, self).__init__(
plotly_name=plotly_name,
pa... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@heatmap@hoverlabel@font@_weightsrc.py@.PATH_END.py |
{
"filename": "wiseutils.py",
"repo_name": "flomertens/wise",
"repo_path": "wise_extracted/wise-master/wise/wiseutils.py",
"type": "Python"
} | import logging
import datetime
import numpy as np
import wds
import matcher
import features as wfeatures
from libwise import plotutils, nputils, imgutils
import matplotlib.cm as cm
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
from mpl_toolkits.axisartist.grid_finder import MaxNLocator
from sci... | flomertensREPO_NAMEwisePATH_START.@wise_extracted@wise-master@wise@wiseutils.py@.PATH_END.py |
{
"filename": "plot_3d.py",
"repo_name": "sophiasosafiscella/highfluencetiming",
"repo_path": "highfluencetiming_extracted/highfluencetiming-main/plot_3d.py",
"type": "Python"
} | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import plotly.graph_objs as go
import plotly.express as px
from matplotlib import animation
from mpl_toolkits.mplot3d import Axes3D
dir: str = "./results/820_band/0.0_sigma/"
n_clusters = np.load(dir + 'MeanShift/n_clusters.npy', allow_pickle=True)... | sophiasosafiscellaREPO_NAMEhighfluencetimingPATH_START.@highfluencetiming_extracted@highfluencetiming-main@plot_3d.py@.PATH_END.py |
{
"filename": "text.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/tools/python3/Lib/msilib/text.py",
"type": "Python"
} | import msilib,os;dirname=os.path.dirname(__file__)
ActionText = [
('InstallValidate', 'Validating install', None),
('InstallFiles', 'Copying new files', 'File: [1], Directory: [9], Size: [6]'),
('InstallAdminPackage', 'Copying network install files', 'File: [1], Directory: [9], Size: [6]'),
('FileCost', 'Computing s... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@tools@python3@Lib@msilib@text.py@.PATH_END.py |
{
"filename": "layers.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/layers/layers.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@layers@layers.py@.PATH_END.py |
{
"filename": "centered_eight.ipynb",
"repo_name": "arviz-devs/arviz",
"repo_path": "arviz_extracted/arviz-main/arviz/data/example_data/code/centered_eight/centered_eight.ipynb",
"type": "Jupyter Notebook"
} | # centered_eight example
```python
import pathlib
import arviz as az
import pymc as pm
import numpy as np
```
```python
draws = 500
chains = 4
J = 8
scores = np.array([28.0, 8.0, -3.0, 7.0, -1.0, 1.0, 18.0, 12.0])
sigma = np.array([15.0, 10.0, 16.0, 11.0, 9.0, 11.0, 10.0, 18.0])
schools = np.array(
[
"... | arviz-devsREPO_NAMEarvizPATH_START.@arviz_extracted@arviz-main@arviz@data@example_data@code@centered_eight@centered_eight.ipynb@.PATH_END.py |
{
"filename": "hook-solara_server.py",
"repo_name": "spacetelescope/jdaviz",
"repo_path": "jdaviz_extracted/jdaviz-main/standalone/hooks/hook-solara_server.py",
"type": "Python"
} | from PyInstaller.utils.hooks import collect_data_files, copy_metadata, collect_submodules
hiddenimports = collect_submodules("solara-server")
datas = collect_data_files('solara-server')
datas += copy_metadata('solara-server')
| spacetelescopeREPO_NAMEjdavizPATH_START.@jdaviz_extracted@jdaviz-main@standalone@hooks@hook-solara_server.py@.PATH_END.py |
{
"filename": "convert_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/lite/python/convert_test.py",
"type": "Python"
} | # Copyright 2017 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@convert_test.py@.PATH_END.py |
{
"filename": "test_gadget4.py",
"repo_name": "ytree-project/ytree",
"repo_path": "ytree_extracted/ytree-main/tests/frontends/test_gadget4.py",
"type": "Python"
} | from ytree.frontends.gadget4 import \
Gadget4Arbor
from ytree.utilities.testing import \
ArborTest, \
TempDirTest
class Gadget4ArborSingleTest(TempDirTest, ArborTest):
arbor_type = Gadget4Arbor
test_filename = "gadget4/trees/trees.hdf5"
groups = ("forest", "tree", "prog")
num_data_files = 1... | ytree-projectREPO_NAMEytreePATH_START.@ytree_extracted@ytree-main@tests@frontends@test_gadget4.py@.PATH_END.py |
{
"filename": "script_example_ngc6888.ipynb",
"repo_name": "thomasorb/orcs",
"repo_path": "orcs_extracted/orcs-master/docs/_build/html/script_example_ngc6888.ipynb",
"type": "Jupyter Notebook"
} | # Automatic estimation of the flux and velocity and double sinc fit
The following example shows how to make a quick estimate of the flux + velocity. The NGC6888 shell displays two generally unresolved components which can be fitted with a double sinc model thanks to the generally high SNR of the data.
```python
from... | thomasorbREPO_NAMEorcsPATH_START.@orcs_extracted@orcs-master@docs@_build@html@script_example_ngc6888.ipynb@.PATH_END.py |
{
"filename": "_dtickrange.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattermap/marker/colorbar/tickformatstop/_dtickrange.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
def __init__(
self,
plotly_name="dtickrange",
parent_name="scattermap.marker.colorbar.tickformatstop",
**kwargs,
):
super(DtickrangeValidator, self).__init__(... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattermap@marker@colorbar@tickformatstop@_dtickrange.py@.PATH_END.py |
{
"filename": "manage_databases.py",
"repo_name": "njcuk9999/apero-drs",
"repo_path": "apero-drs_extracted/apero-drs-main/apero/tools/module/database/manage_databases.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Completely recreate database from scratch
Created on 2020-08-2020-08-18 17:13
@author: cook
"""
import os
from typing import Dict, List, Union
import numpy as np
import pandas as pd
from astropy.table import Table, vstack, MaskedColumn
from apero import lang
from ap... | njcuk9999REPO_NAMEapero-drsPATH_START.@apero-drs_extracted@apero-drs-main@apero@tools@module@database@manage_databases.py@.PATH_END.py |
{
"filename": "hashed_crossing_test.py",
"repo_name": "keras-team/keras",
"repo_path": "keras_extracted/keras-master/keras/src/layers/preprocessing/hashed_crossing_test.py",
"type": "Python"
} | import numpy as np
import pytest
import tensorflow as tf
from absl.testing import parameterized
from keras.src import backend
from keras.src import layers
from keras.src import testing
from keras.src.testing.test_utils import named_product
class HashedCrossingTest(testing.TestCase):
def test_basics(self):
... | keras-teamREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@layers@preprocessing@hashed_crossing_test.py@.PATH_END.py |
{
"filename": "acssimEventDispatcher.py",
"repo_name": "ACS-Community/ACS",
"repo_path": "ACS_extracted/ACS-master/LGPL/CommonSoftware/acssim/test/acssimEventDispatcher.py",
"type": "Python"
} | #!/usr/bin/env python
#*******************************************************************************
# ALMA - Atacama Large Millimiter Array
# (c) Associated Universities Inc., 2002
# (c) European Southern Observatory, 2002
# Copyright by ESO (in the framework of the ALMA collaboration)
# and Cosylab 2002, All right... | ACS-CommunityREPO_NAMEACSPATH_START.@ACS_extracted@ACS-master@LGPL@CommonSoftware@acssim@test@acssimEventDispatcher.py@.PATH_END.py |
{
"filename": "terminal.py",
"repo_name": "saopicc/DDFacet",
"repo_path": "DDFacet_extracted/DDFacet-master/DDFacet/Other/terminal.py",
"type": "Python"
} | # Copyright: 2008 Nadia Alramli
# License: BSD
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
"""Terminal controller module
Example of usage:
print BG_BLUE + 'Text on blue background' + NORMAL
print BLUE + UNDERLINE + 'Blue underlined text' + NORM... | saopiccREPO_NAMEDDFacetPATH_START.@DDFacet_extracted@DDFacet-master@DDFacet@Other@terminal.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "pymc-devs/pymc",
"repo_path": "pymc_extracted/pymc-main/pymc/ode/__init__.py",
"type": "Python"
} | # Copyright 2024 The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | pymc-devsREPO_NAMEpymcPATH_START.@pymc_extracted@pymc-main@pymc@ode@__init__.py@.PATH_END.py |
{
"filename": "float_hp.py",
"repo_name": "keras-team/keras-tuner",
"repo_path": "keras-tuner_extracted/keras-tuner-master/keras_tuner/engine/hyperparameters/hp_types/float_hp.py",
"type": "Python"
} | # Copyright 2019 The KerasTuner 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 ... | keras-teamREPO_NAMEkeras-tunerPATH_START.@keras-tuner_extracted@keras-tuner-master@keras_tuner@engine@hyperparameters@hp_types@float_hp.py@.PATH_END.py |
{
"filename": "splat_backup.py",
"repo_name": "aburgasser/splat",
"repo_path": "splat_extracted/splat-main/splat/splat_backup.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
from __future__ import print_function, division
# WORKING COPY OF SPLAT CODE LIBRARY
# based on routines developed by:
# Christian Aganze
# Daniella Bardalez Gagliuffi
# Jessica Birky
# Adam Burgasser
# Caleb Choban
# Andrew Davis
# Ivanna Escala
# Aishwarya Iyer
# Yu... | aburgasserREPO_NAMEsplatPATH_START.@splat_extracted@splat-main@splat@splat_backup.py@.PATH_END.py |
{
"filename": "Pre_processing.py",
"repo_name": "spal4532/DeepFRi-and-DicFR",
"repo_path": "DeepFRi-and-DicFR_extracted/DeepFRi-and-DicFR-main/nrt_wind/Pre_processing.py",
"type": "Python"
} | import numpy as np
import pandas as pd
import os
from matplotlib import pyplot
import matplotlib.pyplot as plt
import pickle
import glob
import shutil
from PIL import Image
from datetime import datetime
from nrt_wind.wind import read_wind_mag
from pandas.errors import EmptyDataError
def createPlot(fig, ax, x, y, z, in... | spal4532REPO_NAMEDeepFRi-and-DicFRPATH_START.@DeepFRi-and-DicFR_extracted@DeepFRi-and-DicFR-main@nrt_wind@Pre_processing.py@.PATH_END.py |
{
"filename": "input.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/prompt-toolkit/py2/prompt_toolkit/input.py",
"type": "Python"
} | """
Abstraction of CLI Input.
"""
from __future__ import unicode_literals
from .utils import DummyContext, is_windows
from abc import ABCMeta, abstractmethod
from six import with_metaclass
import io
import os
import sys
if is_windows():
from .terminal.win32_input import raw_mode, cooked_mode
else:
from .term... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@prompt-toolkit@py2@prompt_toolkit@input.py@.PATH_END.py |
{
"filename": "kepprf.py",
"repo_name": "KeplerGO/PyKE",
"repo_path": "PyKE_extracted/PyKE-master/pyke/kepprf.py",
"type": "Python"
} | import numpy as np
import time
import math
import glob
from matplotlib import pyplot as plt
from matplotlib import ticker
from astropy.io import fits as pyfits
from scipy import interpolate, optimize, ndimage, stats
from scipy.optimize import fmin_powell
from scipy.interpolate import RectBivariateSpline
from scipy.ndim... | KeplerGOREPO_NAMEPyKEPATH_START.@PyKE_extracted@PyKE-master@pyke@kepprf.py@.PATH_END.py |
{
"filename": "E21.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/parso/py3/tests/normalizer_issue_files/E21.py",
"type": "Python"
} | #: E211:4
spam (1)
#: E211:4 E211:19
dict ['key'] = list [index]
#: E211:11
dict['key'] ['subkey'] = list[index]
# Okay
spam(1)
dict['key'] = list[index]
# This is not prohibited by PEP8, but avoid it.
# Dave: I think this is extremely stupid. Use the same convention everywhere.
#: E211:9
class Foo (Bar, Baz):
pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@parso@py3@tests@normalizer_issue_files@E21.py@.PATH_END.py |
{
"filename": "Absorption_Continuum.py",
"repo_name": "danielkoll/PyRADS",
"repo_path": "PyRADS_extracted/PyRADS-master/pyrads/Absorption_Continuum.py",
"type": "Python"
} | from __future__ import division, print_function, absolute_import
import numpy as np
from . import phys
'''
Implement functions that return absorption cross-sections
for various modes of continuum absorption.
'''
###
# Implement fits from Pierrehumbert, PoPC.
# Here: Water vapor self-continuum; Eqn. (4.91)
# NOTE: '... | danielkollREPO_NAMEPyRADSPATH_START.@PyRADS_extracted@PyRADS-master@pyrads@Absorption_Continuum.py@.PATH_END.py |
{
"filename": "response_sender_complete_final_test.py",
"repo_name": "triton-inference-server/server",
"repo_path": "server_extracted/server-main/qa/L0_backend_python/response_sender/response_sender_complete_final_test.py",
"type": "Python"
} | # Copyright 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of con... | triton-inference-serverREPO_NAMEserverPATH_START.@server_extracted@server-main@qa@L0_backend_python@response_sender@response_sender_complete_final_test.py@.PATH_END.py |
{
"filename": "_textcase.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/pie/legendgrouptitle/font/_textcase.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextcaseValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="textcase", parent_name="pie.legendgrouptitle.font", **kwargs
):
super(TextcaseValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@pie@legendgrouptitle@font@_textcase.py@.PATH_END.py |
{
"filename": "k2scfile.py",
"repo_name": "OxES/k2sc",
"repo_path": "k2sc_extracted/k2sc-master/src/k2scfile.py",
"type": "Python"
} | import numpy as np
import astropy.io.fits as pf
from .core import *
def submed(a):
return a - np.nanmedian(a)
class K2SCFile(object):
"""
Utility class to work with K2SC output files.
"""
def __init__(self, filename, normalize=False, remove_nans=True, remove_outliers=False):
"""
... | OxESREPO_NAMEk2scPATH_START.@k2sc_extracted@k2sc-master@src@k2scfile.py@.PATH_END.py |
{
"filename": "cross_corr.py",
"repo_name": "annehutter/grid-model",
"repo_path": "grid-model_extracted/grid-model-master/analysis_tools/cross_corr.py",
"type": "Python"
} | import numpy as np
from grid import *
def compute_cross_corr(field1, field2, boxsize, outputfile, str1, str2):
field1_norm = field1/np.mean(field1, dtype=np.float64) - 1.
field2_norm = field2/np.mean(field2, dtype=np.float64) - 1.
modesField1 = ifftn(field1_norm)
modesField2 = ifftn(field2_norm)
... | annehutterREPO_NAMEgrid-modelPATH_START.@grid-model_extracted@grid-model-master@analysis_tools@cross_corr.py@.PATH_END.py |
{
"filename": "run_cookbook_part2.py",
"repo_name": "spacetelescope/hstaxe",
"repo_path": "hstaxe_extracted/hstaxe-main/hstaxe/tests/run_cookbook_part2.py",
"type": "Python"
} | """
See LICENSE.txt
"""
# This script needs to be run from the same directory
# that the cookbook_data/ directory exists for wfc3
# excute run_cookbook.py first
import os
import shutil
from drizzlepac import astrodrizzle
from hstaxe import axetasks
cwd = os.getcwd()
print("We are in %s" % (cwd))
dimension_info = "18... | spacetelescopeREPO_NAMEhstaxePATH_START.@hstaxe_extracted@hstaxe-main@hstaxe@tests@run_cookbook_part2.py@.PATH_END.py |
{
"filename": "test_spectrum_api.py",
"repo_name": "tgrassi/prizmo",
"repo_path": "prizmo_extracted/prizmo-main/src_py/ChiantiPy/core/tests/test_spectrum_api.py",
"type": "Python"
} | import platform
import warnings
import numpy as np
import pytest
from ChiantiPy.core import spectrum, bunch, mspectrum, radLoss
try:
from ChiantiPy.core import ipymspectrum
except ImportError as error:
warnings.warn("Could not import IpyMspectrum; you may be missing ipyparellel.")
ipymspectrum = error
#... | tgrassiREPO_NAMEprizmoPATH_START.@prizmo_extracted@prizmo-main@src_py@ChiantiPy@core@tests@test_spectrum_api.py@.PATH_END.py |
{
"filename": "smooth_cal_inspect_2458050.ipynb",
"repo_name": "HERA-Team/H1C_IDR3_Notebooks",
"repo_path": "H1C_IDR3_Notebooks-main/smooth_cal_inspect/smooth_cal_inspect_2458050.ipynb",
"type": "Jupyter Notebook"
} | # Stage 2 Calibration Smoothing Nightly Notebook
**Josh Dillon**, Last Revised 12/4/20
```python
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
from hera_cal import io, redcal, apply_cal, abscal, utils
from hera_cal.smooth_cal import build_time_blacklist
from hera_qm.metrics_io import load_metr... | HERA-TeamREPO_NAMEH1C_IDR3_NotebooksPATH_START.@H1C_IDR3_Notebooks-main@smooth_cal_inspect@smooth_cal_inspect_2458050.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "jveitchmichaelis/pygadgetreader",
"repo_path": "pygadgetreader_extracted/pygadgetreader-master/readgadget/__init__.py",
"type": "Python"
} | from .readgadget import readsnap,readhead,readheader
from .readrockstar import readrockstar
from .readrockstar import readrockstargalaxies
from .readfofspecial import readfofspecial
from .readpstar import readpstar
| jveitchmichaelisREPO_NAMEpygadgetreaderPATH_START.@pygadgetreader_extracted@pygadgetreader-master@readgadget@__init__.py@.PATH_END.py |
{
"filename": "gmosaiceti.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/gempy/gemini/eti/gmosaiceti.py",
"type": "Python"
} | from copy import copy
from pyraf import iraf
from iraf import gemini
from iraf import gmos
from iraf import gemtools
from gempy.utils import logutils
from gempy.eti_core.pyrafeti import PyrafETI
from .gmosaicfile import InAtList, OutAtList, LogFile
from .gmosaicparam import FlPaste, FlFixpix, Geointer, FlVardq, FlCl... | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@gempy@gemini@eti@gmosaiceti.py@.PATH_END.py |
{
"filename": "process_fontribera_nz.py",
"repo_name": "philbull/RadioFisher",
"repo_path": "RadioFisher_extracted/RadioFisher-master/process_fontribera_nz.py",
"type": "Python"
} | #!/usr/bin/python
"""
Calculate n(z) bins, in Mpc^-3, based on dN/dz/dSarea from Tables in
Font-Ribera et al. (arXiv:1308.4164).
"""
import numpy as np
import pylab as P
import scipy.integrate
import baofisher
import experiments as e
from units import *
INFILE = "boss_dNdzdS.dat"
fname = "boss_nz.dat"
INFILE = "wfir... | philbullREPO_NAMERadioFisherPATH_START.@RadioFisher_extracted@RadioFisher-master@process_fontribera_nz.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "jonathansick/MoAstro",
"repo_path": "MoAstro_extracted/MoAstro-master/docs/conf.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# Licensed under a 3-clause BSD style license - see LICENSE.rst
#
# Astropy documentation build configuration file.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this file.
#
# All configurati... | jonathansickREPO_NAMEMoAstroPATH_START.@MoAstro_extracted@MoAstro-master@docs@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/scatter/marker/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(self, plotly_name="color", parent_name="scatter.marker", **kwargs):
super(ColorValidator, 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@scatter@marker@_color.py@.PATH_END.py |
{
"filename": "ex_algorestrict.ipynb",
"repo_name": "sczesla/PyAstronomy",
"repo_path": "PyAstronomy_extracted/PyAstronomy-master/src/doc/funcFit2Doc/ex_algorestrict.ipynb",
"type": "Jupyter Notebook"
} | Restrictions via algorithm (fmin_l_bfgs_b)
=================================================
```python
from __future__ import print_function, division
from numpy import arange, sqrt, exp, pi, random, ones_like
import matplotlib.pylab as plt
from PyAstronomy import funcFit2 as fuf2
import scipy.optimize as sco
random... | sczeslaREPO_NAMEPyAstronomyPATH_START.@PyAstronomy_extracted@PyAstronomy-master@src@doc@funcFit2Doc@ex_algorestrict.ipynb@.PATH_END.py |
{
"filename": "__yaml_constructors.py",
"repo_name": "HERA-Team/hera_sim",
"repo_path": "hera_sim_extracted/hera_sim-main/hera_sim/__yaml_constructors.py",
"type": "Python"
} | """
A module for generating new YAML tags for the various ``hera_sim`` interpolator objects.
This may need to be updated if the :mod:`.interpolators` module is updated.
"""
import astropy.units as u
import inspect
import warnings
import yaml
from . import antpos, interpolators
def make_interp_constructor(tag, inte... | HERA-TeamREPO_NAMEhera_simPATH_START.@hera_sim_extracted@hera_sim-main@hera_sim@__yaml_constructors.py@.PATH_END.py |
{
"filename": "cbvcorrector.py",
"repo_name": "KeplerGO/lightkurve",
"repo_path": "lightkurve_extracted/lightkurve-main/src/lightkurve/correctors/cbvcorrector.py",
"type": "Python"
} | """Defines Corrector classes that utilize Kepler/K2/TESS Cotrending Basis Vectors.
"""
import logging
import copy
import requests
import urllib.request
import glob
import os
import warnings
from astropy.io import fits as pyfits
from astropy.table import Table
from astropy.time import Time
from astropy.timeseries impor... | KeplerGOREPO_NAMElightkurvePATH_START.@lightkurve_extracted@lightkurve-main@src@lightkurve@correctors@cbvcorrector.py@.PATH_END.py |
{
"filename": "ScoreBruteForce.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/lite/g3doc/api_docs/python/tflite_model_maker/searcher/ScoreBruteForce.md",
"type": "Markdown"
} | page_type: reference
description: Bruce force in-partition scoring configuration.
<link rel="stylesheet" href="/site-assets/css/style.css">
<!-- DO NOT EDIT! Automatically generated file. -->
<div itemscope itemtype="http://developers.google.com/ReferenceObject">
<meta itemprop="name" content="tflite_model_maker.se... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@lite@g3doc@api_docs@python@tflite_model_maker@searcher@ScoreBruteForce.md@.PATH_END.py |
{
"filename": "install.py",
"repo_name": "davidharvey1986/pyRRG",
"repo_path": "pyRRG_extracted/pyRRG-master/unittests/bugFixPyRRG/lib/python3.7/site-packages/wheel/cli/install.py",
"type": "Python"
} | davidharvey1986REPO_NAMEpyRRGPATH_START.@pyRRG_extracted@pyRRG-master@unittests@bugFixPyRRG@lib@python3.7@site-packages@wheel@cli@install.py@.PATH_END.py | |
{
"filename": "_showticklabels.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/_showticklabels.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self,
plotly_name="showticklabels",
parent_name="choroplethmapbox.colorbar",
**kwargs,
):
super(ShowticklabelsValidator, self).__init__(
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@choroplethmapbox@colorbar@_showticklabels.py@.PATH_END.py |
{
"filename": "S_run_bf_polyfit.py",
"repo_name": "SJ001/AI-Feynman",
"repo_path": "AI-Feynman_extracted/AI-Feynman-master/aifeynman/S_run_bf_polyfit.py",
"type": "Python"
} | # add a function to compte complexity
from .get_pareto import Point, ParetoSet
from .RPN_to_pytorch import RPN_to_pytorch
from .RPN_to_eq import RPN_to_eq
import numpy as np
import matplotlib.pyplot as plt
from .S_brute_force import brute_force
from .S_get_number_DL_snapped import get_number_DL_snapped
from sympy.pars... | SJ001REPO_NAMEAI-FeynmanPATH_START.@AI-Feynman_extracted@AI-Feynman-master@aifeynman@S_run_bf_polyfit.py@.PATH_END.py |
{
"filename": "script_example_estimate_parameters.ipynb",
"repo_name": "thomasorb/orcs",
"repo_path": "orcs_extracted/orcs-master/docs/_build/doctrees/nbsphinx/script_example_estimate_parameters.ipynb",
"type": "Jupyter Notebook"
} | # Multiple components fitting with automatic velocity estimate
This is a complete (and complex) example of what can be achieved with the automatic velocity estimation algorithm described in [Martin et al. (2021)](https://doi.org/10.1093/mnras/staa4046). This algorithm permit to estimate the velocity of one or more com... | thomasorbREPO_NAMEorcsPATH_START.@orcs_extracted@orcs-master@docs@_build@doctrees@nbsphinx@script_example_estimate_parameters.ipynb@.PATH_END.py |
{
"filename": "MidInfraredPhotometry_unWISEdr1_AllWISE.ipynb",
"repo_name": "astro-datalab/notebooks-latest",
"repo_path": "notebooks-latest_extracted/notebooks-latest-master/03_ScienceExamples/SpectralEnergyDistributions/MidInfraredPhotometry_unWISEdr1_AllWISE.ipynb",
"type": "Jupyter Notebook"
} | ```python
__nbid__ = '0027'
__author__ = 'Stephanie Juneau <stephanie.juneau@noirlab.edu>'
__version__ = '20240606' # yyyymmdd
__datasets__ = ['unwise_dr1', 'allwise']
__keywords__ = ['science example', 'plot:cmd', 'plot:histogram']
```
# Mid-Infrared Photometry from unWISE DR1 & AllWISE
*Stéphanie Juneau (NOIRLab), ... | astro-datalabREPO_NAMEnotebooks-latestPATH_START.@notebooks-latest_extracted@notebooks-latest-master@03_ScienceExamples@SpectralEnergyDistributions@MidInfraredPhotometry_unWISEdr1_AllWISE.ipynb@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "hpc4cmb/toast",
"repo_path": "toast_extracted/toast-main/src/toast/utils.py",
"type": "Python"
} | # Copyright (c) 2015-2020 by the parties listed in the AUTHORS file.
# All rights reserved. Use of this source code is governed by
# a BSD-style license that can be found in the LICENSE file.
import os
import gc
import numpy as np
from ._libtoast import Environment, Timer, GlobalTimers, Logger
from ._libtoast impo... | hpc4cmbREPO_NAMEtoastPATH_START.@toast_extracted@toast-main@src@toast@utils.py@.PATH_END.py |
{
"filename": "data_manager.py",
"repo_name": "matthiasfabry/spinOS",
"repo_path": "spinOS_extracted/spinOS-master/modules/data_manager.py",
"type": "Python"
} | """
Copyright 2020, 2021, 2022 Matthias Fabry
This file is part of spinOS.
spinOS 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.
spinOS is... | matthiasfabryREPO_NAMEspinOSPATH_START.@spinOS_extracted@spinOS-master@modules@data_manager.py@.PATH_END.py |
{
"filename": "data_inspect_2458045.ipynb",
"repo_name": "HERA-Team/H1C_IDR3_Notebooks",
"repo_path": "H1C_IDR3_Notebooks-main/data_inspect/data_inspect_2458045.ipynb",
"type": "Jupyter Notebook"
} | ```python
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.ticker import FormatStrFormatter
import matplotlib.patches as mpatches
import matplotlib.gridspec as gridspec
import numpy as np
from pyuvdata import UVCal, UVData
import os
import sys
import glob
import uvtools as uvt
from astropy.time import ... | HERA-TeamREPO_NAMEH1C_IDR3_NotebooksPATH_START.@H1C_IDR3_Notebooks-main@data_inspect@data_inspect_2458045.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatterpolar/selected/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._textfont import TextfontValidator
from ._marker import MarkerValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._textfont.TextfontValidator", "._marker.MarkerValid... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatterpolar@selected@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "PlasmaPy/PlasmaPy",
"repo_path": "PlasmaPy_extracted/PlasmaPy-main/src/plasmapy/utils/_pytest_helpers/__init__.py",
"type": "Python"
} | from plasmapy.utils._pytest_helpers.pytest_helpers import (
assert_can_handle_nparray,
run_test,
run_test_equivalent_calls,
)
| PlasmaPyREPO_NAMEPlasmaPyPATH_START.@PlasmaPy_extracted@PlasmaPy-main@src@plasmapy@utils@_pytest_helpers@__init__.py@.PATH_END.py |
{
"filename": "helper_functions.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/GalfitModule/Functions/helper_functions.py",
"type": "Python"
} | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import os
import sys
from glob import glob
from os.path import join as pj
from os.path import abspath as absp
from os.path import exists
import shutil
import subprocess
from copy import deepcopy
from astropy.io import fits
# In[2]:
# For debugging purposes
from IP... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@GalfitModule@Functions@helper_functions.py@.PATH_END.py |
{
"filename": "template.py",
"repo_name": "peregrine-gw/saqqara",
"repo_path": "saqqara_extracted/saqqara-main/sgwbfish/scripts/template.py",
"type": "Python"
} | import sgwbfish as sf
import jax
import numpy as np
import jax.numpy as jnp
jax.config.update("jax_enable_x64", True)
import matplotlib.pyplot as plt
pl = sf.PowerLaw()
freq_grid = jnp.geomspace(1e-5, 5e-1, 1000)
Nc = 95
Tc = 1e6
theta = jnp.hstack(
[
jnp.array([-11.0, 0.0]),
jnp.hstack([jnp.array... | peregrine-gwREPO_NAMEsaqqaraPATH_START.@saqqara_extracted@saqqara-main@sgwbfish@scripts@template.py@.PATH_END.py |
{
"filename": "statistics.py",
"repo_name": "ratt-ru/CubiCal",
"repo_path": "CubiCal_extracted/CubiCal-master/cubical/statistics.py",
"type": "Python"
} | # CubiCal: a radio interferometric calibration suite
# (c) 2017 Rhodes University & Jonathan S. Kenyon
# http://github.com/ratt-ru/CubiCal
# This code is distributed under the terms of GPLv2, see LICENSE.md for details
"""
Handles solver statistics.
"""
from __future__ import print_function
from builtins import range
i... | ratt-ruREPO_NAMECubiCalPATH_START.@CubiCal_extracted@CubiCal-master@cubical@statistics.py@.PATH_END.py |
{
"filename": "_line.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/sankey/link/_line.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Line(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "sankey.link"
_path_str = "sankey.link.line"
_valid_props = {"color", "colorsrc", "width", "wid... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@sankey@link@_line.py@.PATH_END.py |
{
"filename": "test_representation_arithmetic.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/coordinates/tests/test_representation_arithmetic.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import operator
import numpy as np
import pytest
from astropy import units as u
from astropy.coordinates import (
CartesianDifferential,
CartesianRepresentation,
CylindricalDifferential,
CylindricalRepresentation,
Latitude,
Longi... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@coordinates@tests@test_representation_arithmetic.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "psheehan/pdspy",
"repo_path": "pdspy_extracted/pdspy-master/pdspy/constants/__init__.py",
"type": "Python"
} | from . import astronomy
from . import math
from . import physics
from . import time
| psheehanREPO_NAMEpdspyPATH_START.@pdspy_extracted@pdspy-master@pdspy@constants@__init__.py@.PATH_END.py |
{
"filename": "modified_tait.py",
"repo_name": "CaymanUnterborn/ExoPlex",
"repo_path": "ExoPlex_extracted/ExoPlex-master/ExoPlex/burnman/eos/modified_tait.py",
"type": "Python"
} | # This file is part of BurnMan - a thermoelastic and thermodynamic toolkit for the Earth and Planetary Sciences
# Copyright (C) 2012 - 2017 by the BurnMan team, released under the GNU
# GPL v2 or later.
from __future__ import absolute_import
import warnings
import numpy as np
from . import equation_of_state as eos
... | CaymanUnterbornREPO_NAMEExoPlexPATH_START.@ExoPlex_extracted@ExoPlex-master@ExoPlex@burnman@eos@modified_tait.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/src/integrations/prefect-github/README.md",
"type": "Markdown"
} | # prefect-github
<p align="center">
<a href="https://pypi.python.org/pypi/prefect-github/" alt="PyPI version">
<img alt="PyPI" src="https://img.shields.io/pypi/v/prefect-github?color=26272B&labelColor=090422"></a>
<a href="https://pepy.tech/badge/prefect-github/" alt="Downloads">
<img src="http... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@src@integrations@prefect-github@README.md@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "remi-adam/minot",
"repo_path": "minot_extracted/minot-master/README.md",
"type": "Markdown"
} | # minot: Modeling the ICM (Non-)thermal content and Observable prediction Tools
Software dedicated to provide a self-consistent modeling framework for the thermal and the non-thermal diffuse components in galaxy clusters, and provide multi-wavelenght observables predictions.
... | remi-adamREPO_NAMEminotPATH_START.@minot_extracted@minot-master@README.md@.PATH_END.py |
{
"filename": "_uid.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattergeo/_uid.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class UidValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="uid", parent_name="scattergeo", **kwargs):
super(UidValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_ty... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattergeo@_uid.py@.PATH_END.py |
{
"filename": "data_sequence.py",
"repo_name": "devanshkv/fetch",
"repo_path": "fetch_extracted/fetch-master/fetch/data_sequence.py",
"type": "Python"
} | """
https://stanford.edu/~shervine/blog/keras-how-to-generate-data-on-the-fly
"""
import logging
import os
import h5py
import keras
import numpy as np
import scipy.signal as s
os.environ["HDF5_USE_FILE_LOCKING"] = "FALSE"
logger = logging.getLogger(__name__)
class DataGenerator(keras.utils.Sequence):
def __ini... | devanshkvREPO_NAMEfetchPATH_START.@fetch_extracted@fetch-master@fetch@data_sequence.py@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "rpoleski/MulensModel",
"repo_path": "MulensModel_extracted/MulensModel-master/source/MulensModel/utils.py",
"type": "Python"
} | """
File with general code used in other parts of MulensModel package.
Most importantly there are Utils and PlotUtils classes.
"""
import numpy as np
from math import fsum, pow, sqrt
import warnings
from matplotlib.colors import ColorConverter
from astropy import __version__ as astropy__version__
from astropy.time im... | rpoleskiREPO_NAMEMulensModelPATH_START.@MulensModel_extracted@MulensModel-master@source@MulensModel@utils.py@.PATH_END.py |
{
"filename": "particles.ipynb",
"repo_name": "PlasmaPy/PlasmaPy",
"repo_path": "PlasmaPy_extracted/PlasmaPy-main/docs/notebooks/getting_started/particles.ipynb",
"type": "Jupyter Notebook"
} | # Using PlasmaPy Particles
[plasmapy.particles]: ../../particles/index.rst
The [plasmapy.particles] subpackage contains functions to access basic particle data and classes to represent particles.
```python
from plasmapy.particles import (
CustomParticle,
DimensionlessParticle,
Particle,
ParticleList... | PlasmaPyREPO_NAMEPlasmaPyPATH_START.@PlasmaPy_extracted@PlasmaPy-main@docs@notebooks@getting_started@particles.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "OSSOS/SurveySimulator",
"repo_path": "SurveySimulator_extracted/SurveySimulator-master/python/ossssim/__init__.py",
"type": "Python"
} | """
Outer Solar System Survey Simulator
See ossssim.examples for usage examples.
ossssim consists of two main modules: core and models
The core module contains the class OSSSSim which provides access to the simulator, see pydoc ossssim.core.OSSSSim for details
The modeles modules contains classes to build models to... | OSSOSREPO_NAMESurveySimulatorPATH_START.@SurveySimulator_extracted@SurveySimulator-master@python@ossssim@__init__.py@.PATH_END.py |
{
"filename": "_enabled.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/surface/colorbar/tickformatstop/_enabled.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self,
plotly_name="enabled",
parent_name="surface.colorbar.tickformatstop",
**kwargs,
):
super(EnabledValidator, self).__init__(
plotly_n... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@surface@colorbar@tickformatstop@_enabled.py@.PATH_END.py |
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