metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "download.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/src/amuse/community/hermite_grx/download.py",
"type": "Python"
} | #!/usr/bin/env python
import subprocess
import os
import urllib.request
import urllib.parse
import urllib.error
from shutil import which
import argparse
class GetCodeFromHttp:
filename_template = "{version}.tar.gz"
name = ["Hermite_GRX"]
url_template = [
"https://github.com/amusecode/Hermite_GRX/... | amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@src@amuse@community@hermite_grx@download.py@.PATH_END.py |
{
"filename": "ex_sandwich3.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/statsmodels/examples/ex_sandwich3.py",
"type": "Python"
} | """Cluster Robust Standard Errors with Two Clusters
Created on Sat Dec 17 08:39:16 2011
Author: Josef Perktold
"""
from urllib.request import urlretrieve
import numpy as np
from numpy.testing import assert_almost_equal
import statsmodels.api as sm
import statsmodels.stats.sandwich_covariance as sw
#requires Peter... | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@statsmodels@examples@ex_sandwich3.py@.PATH_END.py |
{
"filename": "_visible.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/sunburst/_visible.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="visible", parent_name="sunburst", **kwargs):
super(VisibleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@sunburst@_visible.py@.PATH_END.py |
{
"filename": "show.py",
"repo_name": "enthought/mayavi",
"repo_path": "mayavi_extracted/mayavi-master/mayavi/tools/show.py",
"type": "Python"
} | # Author: Prabhu Ramachandran <prabhu[at]aero[dot]iitb[dot]ac[dot]in>
# Copyright (c) 2008, Enthought, Inc.
# License: BSD Style.
from traits.etsconfig.api import ETSConfig
from pyface.api import GUI, ApplicationWindow
from traits.api import HasTraits, Button, Any
from traitsui.api import View, Group, Item
from pyface... | enthoughtREPO_NAMEmayaviPATH_START.@mayavi_extracted@mayavi-master@mayavi@tools@show.py@.PATH_END.py |
{
"filename": "test_gradients.py",
"repo_name": "astro-informatics/s2wav",
"repo_path": "s2wav_extracted/s2wav-main/tests/test_gradients.py",
"type": "Python"
} | import jax
jax.config.update("jax_enable_x64", True)
import pytest
import jax.numpy as jnp
from jax.test_util import check_grads
import s2fft
from s2wav.transforms import wavelet, wavelet_c, wavelet_precompute, construct
from s2wav import filters, samples
L_to_test = [8]
N_to_test = [3]
J_min_to_test = [2]
reality = ... | astro-informaticsREPO_NAMEs2wavPATH_START.@s2wav_extracted@s2wav-main@tests@test_gradients.py@.PATH_END.py |
{
"filename": "read_distributed_grid.py",
"repo_name": "bwvdnbro/CMacIonize",
"repo_path": "CMacIonize_extracted/CMacIonize-master/tools/read_distributed_grid.py",
"type": "Python"
} | import numpy as np
import h5py
import re
# precompiled regular expressions for reading in int and length arrays
intarray = re.compile("\[([0-9]*), ([0-9]*), ([0-9]*)\]")
lengtharray = re.compile(
"\[([\-0-9\.e\+]*) m, ([\-0-9\.e\+]*) m, ([\-0-9\.e\+]*) m\]"
)
##
# @brief Read quantities from a distributed snapsho... | bwvdnbroREPO_NAMECMacIonizePATH_START.@CMacIonize_extracted@CMacIonize-master@tools@read_distributed_grid.py@.PATH_END.py |
{
"filename": "version.py",
"repo_name": "caseyjlaw/rtpipe",
"repo_path": "rtpipe_extracted/rtpipe-master/rtpipe/version.py",
"type": "Python"
} | __version__ = '1.60'
| caseyjlawREPO_NAMErtpipePATH_START.@rtpipe_extracted@rtpipe-master@rtpipe@version.py@.PATH_END.py |
{
"filename": "test_gmm_poisson.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/statsmodels/sandbox/regression/tests/test_gmm_poisson.py",
"type": "Python"
} | '''
TestGMMMultTwostepDefault() has lower precision
'''
from statsmodels.compat.python import lmap
import numpy as np
import pandas
from scipy import stats
import pytest
from statsmodels.regression.linear_model import OLS
from statsmodels.sandbox.regression import gmm
from numpy.testing import assert_allclose, ass... | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@statsmodels@sandbox@regression@tests@test_gmm_poisson.py@.PATH_END.py |
{
"filename": "_xhoverformat.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/surface/_xhoverformat.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XhoverformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="xhoverformat", parent_name="surface", **kwargs):
super(XhoverformatValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@surface@_xhoverformat.py@.PATH_END.py |
{
"filename": "demo_plotting_BHNS_distributions_for_LVK.ipynb",
"repo_name": "FloorBroekgaarden/Double-Compact-Object-Mergers",
"repo_path": "Double-Compact-Object-Mergers_extracted/Double-Compact-Object-Mergers-main/demo_read_hdf5_file/demo_plotting_BHNS_distributions_for_LVK.ipynb",
"type": "Jupyter Notebook"... | ```python
# import sys
# sys.path.append('../Scripts')
# from PostProcessingScripts import *
# import pandas as pd
# import string
# just to make the cells appear wider:
from IPython.core.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
import h5py as h5
import nu... | FloorBroekgaardenREPO_NAMEDouble-Compact-Object-MergersPATH_START.@Double-Compact-Object-Mergers_extracted@Double-Compact-Object-Mergers-main@demo_read_hdf5_file@demo_plotting_BHNS_distributions_for_LVK.ipynb@.PATH_END.py |
{
"filename": "embed.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/ipywidgets/py3/ipywidgets/embed.py",
"type": "Python"
} | # Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
#
#
# Parts of this code is from IPyVolume (24.05.2017), used here under
# this copyright and license with permission from the author
# (see https://github.com/jupyter-widgets/ipywidgets/pull/1387)
"""
Functions for ge... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@ipywidgets@py3@ipywidgets@embed.py@.PATH_END.py |
{
"filename": "set-individual-constraints__div.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/_includes/work_src/reusage/set-individual-constraints__div.md",
"type": "Markdown"
} |
Set constraints individually for each feature as a string (the number of features is n).
Format
```
"(<constraint_0>, <constraint_2>, .., <constraint_n-1>)"
```
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@_includes@work_src@reusage@set-individual-constraints__div.md@.PATH_END.py |
{
"filename": "synchrotron_self_compton.py",
"repo_name": "cosimoNigro/agnpy",
"repo_path": "agnpy_extracted/agnpy-master/agnpy/compton/synchrotron_self_compton.py",
"type": "Python"
} | # module containing the synchrotron self Compton radiative process
import numpy as np
from astropy.constants import c, sigma_T
import astropy.units as u
from .kernels import isotropic_kernel
from ..synchrotron import Synchrotron
from ..utils.math import (
axes_reshaper,
gamma_e_to_integrate,
nu_to_integrate... | cosimoNigroREPO_NAMEagnpyPATH_START.@agnpy_extracted@agnpy-master@agnpy@compton@synchrotron_self_compton.py@.PATH_END.py |
{
"filename": "test_gradient_boosting.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py",
"type": "Python"
} | import copyreg
import io
import pickle
import re
import warnings
from unittest.mock import Mock
import joblib
import numpy as np
import pytest
from joblib.numpy_pickle import NumpyPickler
from numpy.testing import assert_allclose, assert_array_equal
import sklearn
from sklearn._loss.loss import (
AbsoluteError,
... | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@sklearn@ensemble@_hist_gradient_boosting@tests@test_gradient_boosting.py@.PATH_END.py |
{
"filename": "utils_lbol.py",
"repo_name": "nuclear-multimessenger-astronomy/nmma",
"repo_path": "nmma_extracted/nmma-main/nmma/em/utils_lbol.py",
"type": "Python"
} | import numpy as np
from scipy.integrate import quad
import astropy.constants
def arnett_lc_get_int_A_non_vec(x, y):
r = quad(lambda z: 2 * z * np.exp(-2 * z * y + z**2), 0, x)
int_A = r[0]
return int_A
arnett_lc_get_int_A = np.vectorize(arnett_lc_get_int_A_non_vec, excluded=["y"])
def arnett_lc_get_in... | nuclear-multimessenger-astronomyREPO_NAMEnmmaPATH_START.@nmma_extracted@nmma-main@nmma@em@utils_lbol.py@.PATH_END.py |
{
"filename": "_variantsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/isosurface/hoverlabel/font/_variantsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VariantsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="variantsrc",
parent_name="isosurface.hoverlabel.font",
**kwargs,
):
super(VariantsrcValidator, self).__init__(
plotly_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@isosurface@hoverlabel@font@_variantsrc.py@.PATH_END.py |
{
"filename": "incomplete_beta.py",
"repo_name": "oliverphilcox/HIPSTER",
"repo_path": "HIPSTER_extracted/HIPSTER-master/python/wcdm/incomplete_beta.py",
"type": "Python"
} | # This is an adaptation by Daniel Eisenstein of GSL code in
# beta_cont_frac_gsl(a, b, x).
# This file is distributed under the GNU Public License
import numpy as np
######### An adaptation of the GSL beta function code
def beta_cont_frac_gsl(a, b, x):
# This computes B_x(a,b) using a continued fraction appr... | oliverphilcoxREPO_NAMEHIPSTERPATH_START.@HIPSTER_extracted@HIPSTER-master@python@wcdm@incomplete_beta.py@.PATH_END.py |
{
"filename": "io_utils.py",
"repo_name": "threeML/threeML",
"repo_path": "threeML_extracted/threeML-master/threeML/io/cern_root_utils/io_utils.py",
"type": "Python"
} | import ROOT
import contextlib
def get_list_of_keys(root_file, dir=""):
"""
Given a ROOT file, it returns the list of object names contained in the file in the provided directory.
:param root_file: a ROOT.TFile instance
:param dir: the directory (default: "", i.e., the root of the file)
:return: a... | threeMLREPO_NAMEthreeMLPATH_START.@threeML_extracted@threeML-master@threeML@io@cern_root_utils@io_utils.py@.PATH_END.py |
{
"filename": "arxiv.py",
"repo_name": "showyourwork/showyourwork",
"repo_path": "showyourwork_extracted/showyourwork-main/src/showyourwork/workflow/scripts/arxiv.py",
"type": "Python"
} | """
Wraps the :doc:`pdf` script to build the article PDF, then
tars everything in the ``src/tex`` directory into the tarball
``arxiv.tar.gz`` for easy arXiv submission.
"""
import shutil
import subprocess
import tarfile
from pathlib import Path
from tempfile import TemporaryDirectory
from showyourwork import paths
... | showyourworkREPO_NAMEshowyourworkPATH_START.@showyourwork_extracted@showyourwork-main@src@showyourwork@workflow@scripts@arxiv.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "bwvdnbro/CMacIonize",
"repo_path": "CMacIonize_extracted/CMacIonize-master/python/__init__.py",
"type": "Python"
} | #! /usr/bin/python
################################################################################
# This file is part of CMacIonize
# Copyright (C) 2016 Bert Vandenbroucke (bert.vandenbroucke@gmail.com)
#
# CMacIonize is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero Gene... | bwvdnbroREPO_NAMECMacIonizePATH_START.@CMacIonize_extracted@CMacIonize-master@python@__init__.py@.PATH_END.py |
{
"filename": "_colorscale.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattergl/marker/line/_colorscale.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
def __init__(
self, plotly_name="colorscale", parent_name="scattergl.marker.line", **kwargs
):
super(ColorscaleValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattergl@marker@line@_colorscale.py@.PATH_END.py |
{
"filename": "test_tracers.py",
"repo_name": "LSSTDESC/CCL",
"repo_path": "CCL_extracted/CCL-master/benchmarks/test_tracers.py",
"type": "Python"
} | import numpy as np
import pyccl as ccl
import pytest
def get_prediction(ells, chi_i, chi_f, alpha, beta, gamma,
der_bessel, der_angles):
exponent = 2 * gamma - alpha - 2 * beta - 1
fl = np.ones_like(ells)
if der_bessel == -1:
fl *= 1. / (ells + 0.5)**4
if der_angles == 2:
... | LSSTDESCREPO_NAMECCLPATH_START.@CCL_extracted@CCL-master@benchmarks@test_tracers.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "sebastian-zieba/PACMAN",
"repo_path": "PACMAN_extracted/PACMAN-master/src/pacman/lib/models/__init__.py",
"type": "Python"
} | from . import constant
from . import constants_cj
from . import divide_white
from . import eclipse
from . import exponential_visit
from . import gp_matern32
from . import gp_sho
from . import logarithmic_visit
from . import model_ramp
from . import polynomial1
from . import polynomial2
from . import sine1
from . import... | sebastian-ziebaREPO_NAMEPACMANPATH_START.@PACMAN_extracted@PACMAN-master@src@pacman@lib@models@__init__.py@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "AlexLaroche7/xp_vae",
"repo_path": "xp_vae_extracted/xp_vae-main/xp_vae/utils.py",
"type": "Python"
} | import torch
import numpy as np
from numpy.typing import NDArray
import copy
import random
rng = np.random.default_rng()
class DataGenerator(torch.utils.data.Dataset):
def __init__(self,
batch_size: int,
xp: NDArray,
xp_err: NDArray
):
self.batc... | AlexLaroche7REPO_NAMExp_vaePATH_START.@xp_vae_extracted@xp_vae-main@xp_vae@utils.py@.PATH_END.py |
{
"filename": "Check_fields.ipynb",
"repo_name": "desy-multimessenger/nuztf",
"repo_path": "nuztf_extracted/nuztf-main/notebooks/Check_fields.ipynb",
"type": "Jupyter Notebook"
} | ```python
%matplotlib inline
from ztfquery import fields, query
from astropy import time
import datetime
```
```python
fields_to_check = [1568, 522]
```
```python
for field_number in fields_to_check:
print(field_number, fields.has_field_reference(field_number))
```
1568 {'zg': True, 'zr': True, 'zi': True}... | desy-multimessengerREPO_NAMEnuztfPATH_START.@nuztf_extracted@nuztf-main@notebooks@Check_fields.ipynb@.PATH_END.py |
{
"filename": "scriptQTestEdit.py",
"repo_name": "bill-cotton/Obit",
"repo_path": "Obit_extracted/Obit-master/ObitSystem/ObitSD/share/scripts/scriptQTestEdit.py",
"type": "Python"
} | # Program to test editing of OTF data from python in Obit
# Test for Richard Prestages Q band data
import OTF, OTFUtil, OErr, OSystem
from Obit import Bomb
# Init Obit
err=OErr.OErr()
ObitSys=OSystem.OSystem ("Python", 1, 103, 1, ["None"], 1, ["../PythonData/"], 1, 0, err)
OErr.printErrMsg(err, "Error with Obit start... | bill-cottonREPO_NAMEObitPATH_START.@Obit_extracted@Obit-master@ObitSystem@ObitSD@share@scripts@scriptQTestEdit.py@.PATH_END.py |
{
"filename": "Usage_Example.py",
"repo_name": "beastraban/INSANE",
"repo_path": "INSANE_extracted/INSANE-main/INSANE/src/INSANE/Usage_Example.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Created on Sun Jun 28 13:18:31 2015
@author: Spawn
"""
from __future__ import division
from __future__ import print_function
import sys
import platform
from INSANE.BackgroundGeometry import BackgroundSolver
import os
"""
Here we need to define the parameters to run the script:
I am defining... | beastrabanREPO_NAMEINSANEPATH_START.@INSANE_extracted@INSANE-main@INSANE@src@INSANE@Usage_Example.py@.PATH_END.py |
{
"filename": "distributed_datamodel.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/src/amuse/community/distributed/distributed_datamodel.py",
"type": "Python"
} | from amuse.datamodel import Particles, Particle
class Resources(Particles):
def __getitem__(self, index):
keys = self.get_all_keys_in_store()[index]
index = self.get_all_indices_in_store()[index]
if hasattr(keys, '__iter__'):
return self._subset(keys)
else:
... | amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@src@amuse@community@distributed@distributed_datamodel.py@.PATH_END.py |
{
"filename": "plot_freq.py",
"repo_name": "gwastro/pycbc",
"repo_path": "pycbc_extracted/pycbc-master/examples/waveform/plot_freq.py",
"type": "Python"
} | import matplotlib.pyplot as pp
from pycbc import waveform
for phase_order in [2, 3, 4, 5, 6, 7]:
hp, hc = waveform.get_td_waveform(approximant='SpinTaylorT4',
mass1=10, mass2=10,
phase_order=phase_order,
delta_t=1.0... | gwastroREPO_NAMEpycbcPATH_START.@pycbc_extracted@pycbc-master@examples@waveform@plot_freq.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/utils/masked/tests/__init__.py",
"type": "Python"
} | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@utils@masked@tests@__init__.py@.PATH_END.py | |
{
"filename": "test_likelihood.py",
"repo_name": "rfeldmann/leopy",
"repo_path": "leopy_extracted/leopy-master/leopy/test/test_likelihood.py",
"type": "Python"
} | """Simple test cases for the leopy.likelihood module.
This module is part of LEO-Py -- \
Likelihood Estimation of Observational data with Python
Copyright 2019 University of Zurich, Robert Feldmann
LEO-Py is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public ... | rfeldmannREPO_NAMEleopyPATH_START.@leopy_extracted@leopy-master@leopy@test@test_likelihood.py@.PATH_END.py |
{
"filename": "test_loader.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/traitlets/py3/tests/config/test_loader.py",
"type": "Python"
} | """Tests for traitlets.config.loader"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
from __future__ import annotations
import copy
import os
import pickle
from itertools import chain
from tempfile import mkstemp
from unittest import TestCase
import pytest
fro... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@traitlets@py3@tests@config@test_loader.py@.PATH_END.py |
{
"filename": "test_create_skymodel_chunk_map.py",
"repo_name": "JLBLine/WODEN",
"repo_path": "WODEN_extracted/WODEN-master/cmake_testing/wodenpy/skymodel/test_create_skymodel_chunk_map.py",
"type": "Python"
} | """
"""
from sys import path
import os
import unittest
import numpy as np
##This is where our code lives
# code_dir = os.environ['CMAKE_CURRENT_SOURCE_DIR']
# ##Code we are testing
from wodenpy.skymodel import read_yaml_skymodel
# import wodenpy
from wodenpy.skymodel.woden_skymodel import Component_Type_Counter, Co... | JLBLineREPO_NAMEWODENPATH_START.@WODEN_extracted@WODEN-master@cmake_testing@wodenpy@skymodel@test_create_skymodel_chunk_map.py@.PATH_END.py |
{
"filename": "test_reshape.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/indexes/base_class/test_reshape.py",
"type": "Python"
} | """
Tests for ndarray-like method on the base Index class
"""
import numpy as np
import pytest
from pandas import Index
import pandas._testing as tm
class TestReshape:
def test_repeat(self):
repeats = 2
index = Index([1, 2, 3])
expected = Index([1, 1, 2, 2, 3, 3])
result = index... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@indexes@base_class@test_reshape.py@.PATH_END.py |
{
"filename": "plot_structure.py",
"repo_name": "dullemond/radmc3d-2.0",
"repo_path": "radmc3d-2.0_extracted/radmc3d-2.0-master/examples/run_ppdisk_analytic_2/plot_structure.py",
"type": "Python"
} | import problem_setup as p
import numpy as np
from mpl_toolkits.mplot3d import axes3d
from matplotlib import pyplot as plt
from matplotlib import cm
from radmc3dPy.image import *
from radmc3dPy.analyze import *
from radmc3dPy.natconst import *
#
# Make sure to have done the following beforhand:
#
# First compile RADMC... | dullemondREPO_NAMEradmc3d-2.0PATH_START.@radmc3d-2.0_extracted@radmc3d-2.0-master@examples@run_ppdisk_analytic_2@plot_structure.py@.PATH_END.py |
{
"filename": "test_astrometry_net.py",
"repo_name": "astropy/astroquery",
"repo_path": "astroquery_extracted/astroquery-main/astroquery/astrometry_net/tests/test_astrometry_net.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import os
import json
import pytest
from .. import AstrometryNet
DATA_DIR = os.path.join(os.path.dirname(__file__), 'data')
def data_path(filename):
return os.path.join(DATA_DIR, filename)
def test_api_key_property():
"""
Check that an e... | astropyREPO_NAMEastroqueryPATH_START.@astroquery_extracted@astroquery-main@astroquery@astrometry_net@tests@test_astrometry_net.py@.PATH_END.py |
{
"filename": "dustpylib.ipynb",
"repo_name": "stammler/dustpy",
"repo_path": "dustpy_extracted/dustpy-master/examples/dustpylib.ipynb",
"type": "Jupyter Notebook"
} | # Library: dustpylib
`dustpylib` is a library with auxiliary tools and extensions for `DustPy`, containing for example interfaces to radiative transfer tools. It is a community project, to which everyone can upload their own `DustPy` customizations.
For more details, please have a look at the [dustpylib documentation... | stammlerREPO_NAMEdustpyPATH_START.@dustpy_extracted@dustpy-master@examples@dustpylib.ipynb@.PATH_END.py |
{
"filename": "T_S_I_B_.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/fonttools/fontTools/ttLib/tables/T_S_I_B_.py",
"type": "Python"
} | from .T_S_I_V_ import table_T_S_I_V_
class table_T_S_I_B_(table_T_S_I_V_):
pass
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@fonttools@fontTools@ttLib@tables@T_S_I_B_.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "benstahl92/LOSSPhotPypeline",
"repo_path": "LOSSPhotPypeline_extracted/LOSSPhotPypeline-master/LOSSPhotPypeline/utils/__init__.py",
"type": "Python"
} | # internal imports
from LOSSPhotPypeline.utils.astroCatalog import astroCatalog
from LOSSPhotPypeline.utils.LPP_utils import *
from LOSSPhotPypeline.utils.plotLC import plotLC | benstahl92REPO_NAMELOSSPhotPypelinePATH_START.@LOSSPhotPypeline_extracted@LOSSPhotPypeline-master@LOSSPhotPypeline@utils@__init__.py@.PATH_END.py |
{
"filename": "paper_plots.py",
"repo_name": "daniel-muthukrishna/astrorapid",
"repo_path": "astrorapid_extracted/astrorapid-master/paper_plots/paper_plots.py",
"type": "Python"
} | # MAKE DATA
# orig_lc, timesX, y_predict = classify_lasair_light_curves(object_names=[
# 'ZTF18abxftqm', # TDE
# 'ZTF19aadnmgf', # SNIa
# 'ZTF18acmzpbf', # SNIa
# ])
#
# with open('paper_plot_real_data.pickle', 'wb') as f:
# pickle.dump([orig_lc, timesX, y_predict], f)
# PLOT FOR PAPER
import pickle... | daniel-muthukrishnaREPO_NAMEastrorapidPATH_START.@astrorapid_extracted@astrorapid-master@paper_plots@paper_plots.py@.PATH_END.py |
{
"filename": "distance.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/spatial/distance.py",
"type": "Python"
} | """
Distance computations (:mod:`scipy.spatial.distance`)
=====================================================
.. sectionauthor:: Damian Eads
Function reference
------------------
Distance matrix computation from a collection of raw observation vectors
stored in a rectangular array.
.. autosummary::
:toctree: g... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@spatial@distance.py@.PATH_END.py |
{
"filename": "bigfile.py",
"repo_name": "bccp/nbodykit",
"repo_path": "nbodykit_extracted/nbodykit-master/nbodykit/source/mesh/bigfile.py",
"type": "Python"
} | from __future__ import absolute_import
# the future import is important. or in python 2.7 we try to
# import this module itself. Due to the unfortnate name conflict!
from nbodykit.base.mesh import MeshSource
from nbodykit import CurrentMPIComm
from nbodykit.utils import JSONDecoder
from bigfile import FileMPI
from pme... | bccpREPO_NAMEnbodykitPATH_START.@nbodykit_extracted@nbodykit-master@nbodykit@source@mesh@bigfile.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "timstaley/drive-ami",
"repo_path": "drive-ami_extracted/drive-ami-master/setup.py",
"type": "Python"
} | #!/usr/bin/env python
from setuptools import setup
import versioneer
requirements = ['pexpect>=4.0.1,<5',
'astropy>=1.0,<2',
'colorlog',
]
setup(
name="drive-ami",
version=versioneer.get_version(),
cmdclass=versioneer.get_cmdclass(),
packages=['driveami'],
scripts... | timstaleyREPO_NAMEdrive-amiPATH_START.@drive-ami_extracted@drive-ami-master@setup.py@.PATH_END.py |
{
"filename": "CompatibleFaceSpecificThermalEnergyPolicyInst.cc.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/SVPH/CompatibleFaceSpecificThermalEnergyPolicyInst.cc.py",
"type": "Python"
} | text = """
//------------------------------------------------------------------------------
// Explicit instantiation.
//------------------------------------------------------------------------------
#include "SVPH/CompatibleFaceSpecificThermalEnergyPolicy.cc"
#include "Geometry/Dimension.hh"
namespace Spheral {
tem... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@SVPH@CompatibleFaceSpecificThermalEnergyPolicyInst.cc.py@.PATH_END.py |
{
"filename": "momento_vector_index.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/vectorstores/momento_vector_index.py",
"type": "Python"
} | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.vectorstores import MomentoVectorIndex
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@vectorstores@momento_vector_index.py@.PATH_END.py |
{
"filename": "test_gaiatap.py",
"repo_name": "astropy/astroquery",
"repo_path": "astroquery_extracted/astroquery-main/astroquery/gaia/tests/test_gaiatap.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
=============
Gaia TAP plus
=============
@author: Juan Carlos Segovia
@contact: juan.carlos.segovia@sciops.esa.int
European Space Astronomy Centre (ESAC)
European Space Agency (ESA)
Created on 30 jun. 2016
"""
import datetime
import os
import zip... | astropyREPO_NAMEastroqueryPATH_START.@astroquery_extracted@astroquery-main@astroquery@gaia@tests@test_gaiatap.py@.PATH_END.py |
{
"filename": "you.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/llms/you.py",
"type": "Python"
} | import os
from typing import Any, Dict, Generator, Iterator, List, Literal, Optional
import requests
from langchain_core.callbacks.manager import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.outputs import GenerationChunk
from pydantic import Field
SMART_ENDPOINT = ... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@llms@you.py@.PATH_END.py |
{
"filename": "mynormalize.py",
"repo_name": "Alymantara/pydoppler",
"repo_path": "pydoppler_extracted/pydoppler-master/pydoppler/mynormalize.py",
"type": "Python"
} | # The Normalize class is largely based on code provided by Sarah Graves.
import numpy as np
import numpy.ma as ma
import matplotlib.cbook as cbook
from matplotlib.colors import Normalize
class MyNormalize(Normalize):
'''
A Normalize class for imshow that allows different stretching functions
for astrono... | AlymantaraREPO_NAMEpydopplerPATH_START.@pydoppler_extracted@pydoppler-master@pydoppler@mynormalize.py@.PATH_END.py |
{
"filename": "_dss.py",
"repo_name": "sfarrens/sfof",
"repo_path": "sfof_extracted/sfof-master/sfof/python/euclid/dm/_dss.py",
"type": "Python"
} | # /home/sartor/pymodule/euclid/dm/_dss.py
# -*- coding: utf-8 -*-
# PyXB bindings for NM:44ff076caf94dd1666a330718f99f59b80790879
# Generated 2014-07-24 16:26:39.931924 by PyXB version 1.2.3
# Namespace http://euclid.esa.org/schema/sys/dss [xmlns:dss]
import pyxb
import pyxb.binding
import pyxb.binding.saxer
import io... | sfarrensREPO_NAMEsfofPATH_START.@sfof_extracted@sfof-master@sfof@python@euclid@dm@_dss.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/isosurface/lighting/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._vertexnormalsepsilon import VertexnormalsepsilonValidator
from ._specular import SpecularValidator
from ._roughness import RoughnessValidator
from ._fresnel import FresnelValidator
from ._facenormalsep... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@isosurface@lighting@__init__.py@.PATH_END.py |
{
"filename": "mle_rates_for_realtime.py",
"repo_name": "Swift-BAT/NITRATES",
"repo_path": "NITRATES_extracted/NITRATES-main/nitrates/analysis_seeds/mle_rates_for_realtime.py",
"type": "Python"
} | import numpy as np
from astropy.io import fits
from astropy.table import Table, vstack
from scipy import optimize, stats
import argparse
import os
import multiprocessing as mp
from ..lib.logllh_ebins_funcs import get_cnt_ebins_normed, log_pois_prob
from ..response.ray_trace_funcs import ray_trace_square
from ..lib.drm... | Swift-BATREPO_NAMENITRATESPATH_START.@NITRATES_extracted@NITRATES-main@nitrates@analysis_seeds@mle_rates_for_realtime.py@.PATH_END.py |
{
"filename": "perf_crawl.py",
"repo_name": "mpi4py/mpi4py",
"repo_path": "mpi4py_extracted/mpi4py-master/demo/futures/perf_crawl.py",
"type": "Python"
} | """
Compare the speed of downloading URLs sequentially vs. using futures.
"""
import sys
import time
import functools
try:
from urllib.request import urlopen
except ImportError:
from urllib2 import urlopen
try:
from concurrent.futures import ThreadPoolExecutor
except ImportError:
ThreadPoolExecutor =... | mpi4pyREPO_NAMEmpi4pyPATH_START.@mpi4py_extracted@mpi4py-master@demo@futures@perf_crawl.py@.PATH_END.py |
{
"filename": "PathVariable.py",
"repo_name": "rat-pac/rat-pac",
"repo_path": "rat-pac_extracted/rat-pac-master/python/SCons/Variables/PathVariable.py",
"type": "Python"
} | """SCons.Variables.PathVariable
This file defines an option type for SCons implementing path settings.
To be used whenever a a user-specified path override should be allowed.
Arguments to PathVariable are:
option-name = name of this option on the command line (e.g. "prefix")
option-help = help string for optio... | rat-pacREPO_NAMErat-pacPATH_START.@rat-pac_extracted@rat-pac-master@python@SCons@Variables@PathVariable.py@.PATH_END.py |
{
"filename": "test_matching.py",
"repo_name": "LSSTDESC/BlendingToolKit",
"repo_path": "BlendingToolKit_extracted/BlendingToolKit-main/tests/test_matching.py",
"type": "Python"
} | from astropy.table import Table
from btk.match import PixelHungarianMatcher
def test_matching():
x1 = [12.0, 31.0]
y1 = [10.0, 30.0]
x2 = [34.0, 12.1, 20.1]
y2 = [33.0, 10.1, 22.0]
t1 = Table()
t1["x_peak"] = x1
t1["y_peak"] = y1
t2 = Table()
t2["x_peak"] = x2
t2["y_peak"] =... | LSSTDESCREPO_NAMEBlendingToolKitPATH_START.@BlendingToolKit_extracted@BlendingToolKit-main@tests@test_matching.py@.PATH_END.py |
{
"filename": "pgf.py",
"repo_name": "matplotlib/matplotlib",
"repo_path": "matplotlib_extracted/matplotlib-main/galleries/users_explain/text/pgf.py",
"type": "Python"
} | r"""
.. redirect-from:: /tutorials/text/pgf
.. _pgf:
************************************************************
Text rendering with XeLaTeX/LuaLaTeX via the ``pgf`` backend
************************************************************
Using the ``pgf`` backend, Matplotlib can export figures as pgf drawing
commands... | matplotlibREPO_NAMEmatplotlibPATH_START.@matplotlib_extracted@matplotlib-main@galleries@users_explain@text@pgf.py@.PATH_END.py |
{
"filename": "_tickformatstopdefaults.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/isosurface/colorbar/_tickformatstopdefaults.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self,
plotly_name="tickformatstopdefaults",
parent_name="isosurface.colorbar",
**kwargs,
):
super(TickformatstopdefaultsValidator, se... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@isosurface@colorbar@_tickformatstopdefaults.py@.PATH_END.py |
{
"filename": "create_trajectories.py",
"repo_name": "nuc-astro/winnet",
"repo_path": "winnet_extracted/winnet-master/data/Example_data/Example_BigBang_many/create_trajectories.py",
"type": "Python"
} | # Import packages
import os, shutil
import numpy as np
import matplotlib.pyplot as plt
# Determining the trajectory of standart Big Bang.
# We need to know:
# - Temperature evolution
# - Density evolution
# - Electron fraction at weak freezeout
etas = np.logspace(-12,-7,num=100)
for e in etas:
# The tr... | nuc-astroREPO_NAMEwinnetPATH_START.@winnet_extracted@winnet-master@data@Example_data@Example_BigBang_many@create_trajectories.py@.PATH_END.py |
{
"filename": "get_speedups.py",
"repo_name": "manodeep/Corrfunc",
"repo_path": "Corrfunc_extracted/Corrfunc-master/paper/scripts/get_speedups.py",
"type": "Python"
} | #!/usr/bin/env python
from __future__ import print_function, division
import numpy as np
try:
import pandas as pd
except ImportError:
pd = None
try:
import cPickle as pickle
except ImportError:
import pickle
from Corrfunc.io import read_catalog
import multiprocessing
max_threads = multiprocess... | manodeepREPO_NAMECorrfuncPATH_START.@Corrfunc_extracted@Corrfunc-master@paper@scripts@get_speedups.py@.PATH_END.py |
{
"filename": "OSystem.py",
"repo_name": "bill-cotton/Obit",
"repo_path": "Obit_extracted/Obit-master/ObitSystem/Obit/python/OSystem.py",
"type": "Python"
} | # $Id$
#-----------------------------------------------------------------------
# Copyright (C) 2004-2019
# Associated Universities, Inc. Washington DC, USA.
#
# 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 So... | bill-cottonREPO_NAMEObitPATH_START.@Obit_extracted@Obit-master@ObitSystem@Obit@python@OSystem.py@.PATH_END.py |
{
"filename": "binomialFPEffectiveness-checkpoint.ipynb",
"repo_name": "stevepur/DR25-occurrence-public",
"repo_path": "DR25-occurrence-public_extracted/DR25-occurrence-public-main/GKbaseline_gaiaRadCut/.ipynb_checkpoints/binomialFPEffectiveness-checkpoint.ipynb",
"type": "Jupyter Notebook"
} | Reliability is given by
$$ R = \frac{N_{\mathrm{truePC}}}{N_{\mathrm{obsPC}}} = 1 - \frac{N_{\mathrm{obsFP}}}{N_{\mathrm{obsPC}}} \left( \frac{1 - E}{E} \right) = 1 - \frac{F_{\mathrm{obsFP}}}{F_{\mathrm{obsPC}}} \left( \frac{1 - E}{E} \right) $$
where $E = N_{\mathrm{obsFP}}/N_{\mathrm{trueFP}}$ is the false positiv... | stevepurREPO_NAMEDR25-occurrence-publicPATH_START.@DR25-occurrence-public_extracted@DR25-occurrence-public-main@GKbaseline_gaiaRadCut@.ipynb_checkpoints@binomialFPEffectiveness-checkpoint.ipynb@.PATH_END.py |
{
"filename": "kepler.py",
"repo_name": "clemson-cal/sailfish",
"repo_path": "sailfish_extracted/sailfish-master/sailfish/physics/kepler.py",
"type": "Python"
} | """
Code to solve the Kepler two-body problem, and its inverse.
"""
from typing import NamedTuple
from math import sin, cos, sqrt, atan2, pi, floor
"""
Newton's gravitational constant is G=1.0, so mass M really means G M.
"""
NEWTON_G = 1.0
class PointMass(NamedTuple):
"""
The mass, 2D position, and 2D velo... | clemson-calREPO_NAMEsailfishPATH_START.@sailfish_extracted@sailfish-master@sailfish@physics@kepler.py@.PATH_END.py |
{
"filename": "medium_filter.py",
"repo_name": "dfm/python-bls",
"repo_path": "python-bls_extracted/python-bls-main/medium_filter.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy
import scipy.ndimage
#this shit only works with DFM's injected LCs
def find_da_gap_bitch(lc,pidx):
gaps = []
gap = []
#pr
#print lc[:,pidx]
#flux = lc[:,pidx]
flux = lc
for i in range(len(lc)-1):
if numpy.isnan(flux... | dfmREPO_NAMEpython-blsPATH_START.@python-bls_extracted@python-bls-main@medium_filter.py@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/waterfall/hoverlabel/_font.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Font(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "waterfall.hoverlabel"
_path_str = "waterfall.hoverlabel.font"
_valid_props = {"color", "colors... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@waterfall@hoverlabel@_font.py@.PATH_END.py |
{
"filename": "error.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/fonttools/fontTools/voltLib/error.py",
"type": "Python"
} | class VoltLibError(Exception):
def __init__(self, message, location):
Exception.__init__(self, message)
self.location = location
def __str__(self):
message = Exception.__str__(self)
if self.location:
path, line, column = self.location
return "%s:%d:%d: %s... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@fonttools@fontTools@voltLib@error.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "Keck-DataReductionPipelines/KPF-Pipeline",
"repo_path": "KPF-Pipeline_extracted/KPF-Pipeline-master/kpfpipe/models/metadata/__init__.py",
"type": "Python"
} | Keck-DataReductionPipelinesREPO_NAMEKPF-PipelinePATH_START.@KPF-Pipeline_extracted@KPF-Pipeline-master@kpfpipe@models@metadata@__init__.py@.PATH_END.py | |
{
"filename": "_width.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/surface/contours/z/_width.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="width", parent_name="surface.contours.z", **kwargs):
super(WidthValidator, 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@surface@contours@z@_width.py@.PATH_END.py |
{
"filename": "vis_header.py",
"repo_name": "OxfordSKA/OSKAR",
"repo_path": "OSKAR_extracted/OSKAR-master/python/oskar/vis_header.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
#
# Copyright (c) 2016-2020, The University of Oxford
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright... | OxfordSKAREPO_NAMEOSKARPATH_START.@OSKAR_extracted@OSKAR-master@python@oskar@vis_header.py@.PATH_END.py |
{
"filename": "_hoverinfo.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/heatmapgl/_hoverinfo.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(self, plotly_name="hoverinfo", parent_name="heatmapgl", **kwargs):
super(HoverinfoValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@heatmapgl@_hoverinfo.py@.PATH_END.py |
{
"filename": "CONTRIBUTING.md",
"repo_name": "RadioAstronomySoftwareGroup/pyuvdata",
"repo_path": "pyuvdata_extracted/pyuvdata-main/.github/CONTRIBUTING.md",
"type": "Markdown"
} | # Contributing to pyuvdata
Thank you for considering contributing to pyuvdata! It's our community of users and contributors that makes pyuvdata powerful and relevant.
pyuvdata is an open source project, driven by our community of contributors. There are many ways to contribute, including writing tutorials, improving ... | RadioAstronomySoftwareGroupREPO_NAMEpyuvdataPATH_START.@pyuvdata_extracted@pyuvdata-main@.github@CONTRIBUTING.md@.PATH_END.py |
{
"filename": "OErr.py",
"repo_name": "bill-cotton/Obit",
"repo_path": "Obit_extracted/Obit-master/ObitSystem/Obit/python/OErr.py",
"type": "Python"
} | # $Id$
#-----------------------------------------------------------------------
# Copyright (C) 2004,2019
# Associated Universities, Inc. Washington DC, USA.
#
# 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 So... | bill-cottonREPO_NAMEObitPATH_START.@Obit_extracted@Obit-master@ObitSystem@Obit@python@OErr.py@.PATH_END.py |
{
"filename": "kitti.py",
"repo_name": "pytorch/vision",
"repo_path": "vision_extracted/vision-main/torchvision/datasets/kitti.py",
"type": "Python"
} | import csv
import os
from pathlib import Path
from typing import Any, Callable, List, Optional, Tuple, Union
from PIL import Image
from .utils import download_and_extract_archive
from .vision import VisionDataset
class Kitti(VisionDataset):
"""`KITTI <http://www.cvlibs.net/datasets/kitti/eval_object.php?obj_ben... | pytorchREPO_NAMEvisionPATH_START.@vision_extracted@vision-main@torchvision@datasets@kitti.py@.PATH_END.py |
{
"filename": "shot_sensitivity.py",
"repo_name": "HETDEX/hetdex_api",
"repo_path": "hetdex_api_extracted/hetdex_api-master/hetdex_api/flux_limits/shot_sensitivity.py",
"type": "Python"
} | """
Unlike the sensitivity cubes, this module
generates flux limit estimates on the fly
from the Fiber class.
AUTHOR: Daniel Farrow
"""
import logging
from os.path import isfile, join
from tempfile import NamedTemporaryFile
from numpy import (arange, meshgrid, ones, array, sum, sqrt, square, newaxis,
... | HETDEXREPO_NAMEhetdex_apiPATH_START.@hetdex_api_extracted@hetdex_api-master@hetdex_api@flux_limits@shot_sensitivity.py@.PATH_END.py |
{
"filename": "ssh_cluster.py",
"repo_name": "lsst-uk/lasair-lsst",
"repo_path": "lasair-lsst_extracted/lasair-lsst-main/utility/parallel/ssh_cluster.py",
"type": "Python"
} | """ Make a cluster from nodes, where you can ssh to any node from the head node with no auth.
The input is a set of hosts and a set of commands to be executed on them.
Uses the parallel-SSH library https://pypi.org/project/parallel-ssh/
To see how it works, try the "busy" example
WARNING: there is a ~60 second lag betw... | lsst-ukREPO_NAMElasair-lsstPATH_START.@lasair-lsst_extracted@lasair-lsst-main@utility@parallel@ssh_cluster.py@.PATH_END.py |
{
"filename": "main.py",
"repo_name": "cdslaborg/paramonte",
"repo_path": "paramonte_extracted/paramonte-main/benchmark/fortran/pm_sampleCov/setCov_vs_setCovMean/main.py",
"type": "Python"
} | #!/usr/bin/env python
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import os
dirname = os.path.basename(os.getcwd())
fontsize = 14
df = pd.read_csv("main.out", delimiter = ",")
colnames = list(df.columns.values)
############################################################################... | cdslaborgREPO_NAMEparamontePATH_START.@paramonte_extracted@paramonte-main@benchmark@fortran@pm_sampleCov@setCov_vs_setCovMean@main.py@.PATH_END.py |
{
"filename": "io.py",
"repo_name": "yt-project/yt",
"repo_path": "yt_extracted/yt-main/yt/frontends/amrvac/io.py",
"type": "Python"
} | """
AMRVAC-specific IO functions
"""
import os
import numpy as np
from more_itertools import always_iterable
from yt.geometry.selection_routines import GridSelector
from yt.utilities.io_handler import BaseIOHandler
from yt.utilities.on_demand_imports import _f90nml as f90nml
def read_amrvac_namelist(parfiles):
... | yt-projectREPO_NAMEytPATH_START.@yt_extracted@yt-main@yt@frontends@amrvac@io.py@.PATH_END.py |
{
"filename": "processOSPREI.py",
"repo_name": "ckay314/OSPREI",
"repo_path": "OSPREI_extracted/OSPREI-master/processCode/processOSPREI.py",
"type": "Python"
} | import numpy as np
import math
import matplotlib.pyplot as plt
from matplotlib import cm, colors
from mpl_toolkits.axes_grid1 import make_axes_locatable
import sys
import os
from scipy.interpolate import CubicSpline
from scipy.stats import norm, pearsonr
from scipy import ndimage
import datetime
import matplotlib.dates... | ckay314REPO_NAMEOSPREIPATH_START.@OSPREI_extracted@OSPREI-master@processCode@processOSPREI.py@.PATH_END.py |
{
"filename": "test_sersic_highn_alias2.py",
"repo_name": "GalSim-developers/GalSim",
"repo_path": "GalSim_extracted/GalSim-main/devel/external/test_sersic_highn/test_sersic_highn_alias2.py",
"type": "Python"
} | # Copyright (c) 2012-2023 by the GalSim developers team on GitHub
# https://github.com/GalSim-developers
#
# This file is part of GalSim: The modular galaxy image simulation toolkit.
# https://github.com/GalSim-developers/GalSim
#
# GalSim is free software: redistribution and use in source and binary forms,
# with or w... | GalSim-developersREPO_NAMEGalSimPATH_START.@GalSim_extracted@GalSim-main@devel@external@test_sersic_highn@test_sersic_highn_alias2.py@.PATH_END.py |
{
"filename": "_shadow.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/isosurface/hoverlabel/font/_shadow.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShadowValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="shadow", parent_name="isosurface.hoverlabel.font", **kwargs
):
super(ShadowValidator, self).__init__(
plotly_name=plotly_name,
paren... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@isosurface@hoverlabel@font@_shadow.py@.PATH_END.py |
{
"filename": "combine_match_results.py",
"repo_name": "samuelyeewl/specmatch-emp",
"repo_path": "specmatch-emp_extracted/specmatch-emp-master/tests/combine_match_results.py",
"type": "Python"
} | #!/usr/bin/env python
import pandas as pd
import os
import sys
import re
from argparse import ArgumentParser
from specmatchemp import library
if __name__ == '__main__':
# Argument parser
psr = ArgumentParser(description="Combine match results")
psr.add_argument('libpath', type=str, help="Path to library ... | samuelyeewlREPO_NAMEspecmatch-empPATH_START.@specmatch-emp_extracted@specmatch-emp-master@tests@combine_match_results.py@.PATH_END.py |
{
"filename": "bandpass_calibration.py",
"repo_name": "RTIP/artip",
"repo_path": "artip_extracted/artip-master/casa_scripts/bandpass_calibration.py",
"type": "Python"
} | import sys
script_parameters_start_index = sys.argv.index('-c') + 2
parameters = sys.argv[script_parameters_start_index:]
ms_dataset = parameters[0]
output_path = parameters[1]
field = parameters[2]
refant = parameters[3]
solint = float(parameters[4])
phase_calib_minsnr = float(parameters[5])
phase_calib_solint = flo... | RTIPREPO_NAMEartipPATH_START.@artip_extracted@artip-master@casa_scripts@bandpass_calibration.py@.PATH_END.py |
{
"filename": "_z.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/surface/contours/_z.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Z(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "surface.contours"
_path_str = "surface.contours.z"
_valid_props = {
"color",
"end... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@surface@contours@_z.py@.PATH_END.py |
{
"filename": "_scalegroup.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/funnelarea/_scalegroup.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ScalegroupValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="scalegroup", parent_name="funnelarea", **kwargs):
super(ScalegroupValidator, 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@funnelarea@_scalegroup.py@.PATH_END.py |
{
"filename": "polynomial.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/numpy/lib/polynomial.py",
"type": "Python"
} | """
Functions to operate on polynomials.
"""
from __future__ import division, absolute_import, print_function
__all__ = ['poly', 'roots', 'polyint', 'polyder', 'polyadd',
'polysub', 'polymul', 'polydiv', 'polyval', 'poly1d',
'polyfit', 'RankWarning']
import re
import warnings
import numpy.core.... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@numpy@lib@polynomial.py@.PATH_END.py |
{
"filename": "profiles.py",
"repo_name": "gammapy/gammapy",
"repo_path": "gammapy_extracted/gammapy-main/gammapy/astro/darkmatter/profiles.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""Dark matter profiles."""
import abc
import html
import numpy as np
import astropy.units as u
from gammapy.modeling import Parameter, Parameters
from gammapy.utils.integrate import trapz_loglog
__all__ = [
"BurkertProfile",
"DMProfile",
"Ein... | gammapyREPO_NAMEgammapyPATH_START.@gammapy_extracted@gammapy-main@gammapy@astro@darkmatter@profiles.py@.PATH_END.py |
{
"filename": "jobs.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/src/integrations/prefect-dbt/prefect_dbt/cloud/jobs.py",
"type": "Python"
} | """Module containing tasks and flows for interacting with dbt Cloud jobs"""
import asyncio
import shlex
import time
from json import JSONDecodeError
from typing import Any, Awaitable, Callable, Dict, List, Optional, Union
from httpx import HTTPStatusError
from pydantic import Field
from typing_extensions import Liter... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@src@integrations@prefect-dbt@prefect_dbt@cloud@jobs.py@.PATH_END.py |
{
"filename": "simulations.py",
"repo_name": "smsharma/dark-photons-perturbations",
"repo_path": "dark-photons-perturbations_extracted/dark-photons-perturbations-master/grf/simulations.py",
"type": "Python"
} | import numpy as np
import pandas as pd
from scipy.interpolate import interp1d
from scipy.misc import derivative
import astropy.units as u
import astropy.constants as c
from astropy.cosmology import FlatLambdaCDM, z_at_value
from tqdm import *
from grf.grf import TransitionProbabilities
from classy import Class
from nb... | smsharmaREPO_NAMEdark-photons-perturbationsPATH_START.@dark-photons-perturbations_extracted@dark-photons-perturbations-master@grf@simulations.py@.PATH_END.py |
{
"filename": "test_base_standard.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/partners/openai/tests/integration_tests/embeddings/test_base_standard.py",
"type": "Python"
} | """Standard LangChain interface tests"""
from typing import Type
from langchain_core.embeddings import Embeddings
from langchain_tests.integration_tests.embeddings import EmbeddingsIntegrationTests
from langchain_openai import OpenAIEmbeddings
class TestOpenAIStandard(EmbeddingsIntegrationTests):
@property
... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@partners@openai@tests@integration_tests@embeddings@test_base_standard.py@.PATH_END.py |
{
"filename": "_selected.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/scattersmith/_selected.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Selected(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "scattersmith"
_path_str = "scattersmith.selected"
_valid_props = {"marker", "textfont"}
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@scattersmith@_selected.py@.PATH_END.py |
{
"filename": "test_patching.py",
"repo_name": "neuraloperator/neuraloperator",
"repo_path": "neuraloperator_extracted/neuraloperator-main/neuralop/training/tests/test_patching.py",
"type": "Python"
} | import torch
import pytest
from ..patching import MultigridPatching2D, make_patches
from neuralop.tests.test_utils import DummyModel
# Input shape params
batch_size = 16
channels = 1
side_len = 128
@pytest.mark.parametrize('levels', [1, 2, 3])
@pytest.mark.parametrize('padding_fraction', [0, 0.1, 0.2])
def test_make... | neuraloperatorREPO_NAMEneuraloperatorPATH_START.@neuraloperator_extracted@neuraloperator-main@neuralop@training@tests@test_patching.py@.PATH_END.py |
{
"filename": "_line.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/selection/_line.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="line", parent_name="layout.selection", **kwargs):
super(LineValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@selection@_line.py@.PATH_END.py |
{
"filename": "regrid.py",
"repo_name": "sherpa/sherpa",
"repo_path": "sherpa_extracted/sherpa-main/sherpa/models/regrid.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# Copyright (C) 2017 - 2024
# Smithsonian Astrophysical Observatory
#
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at yo... | sherpaREPO_NAMEsherpaPATH_START.@sherpa_extracted@sherpa-main@sherpa@models@regrid.py@.PATH_END.py |
{
"filename": "lscsn.py",
"repo_name": "LCOGT/lcogtsnpipe",
"repo_path": "lcogtsnpipe_extracted/lcogtsnpipe-master/trunk/bin/lscsn.py",
"type": "Python"
} | #!/usr/bin/env python
description = ">> New automated sn measurement"
usage = "%prog image [options] "
import time
from numpy import array,log10
import numpy as np
import lsc
import glob
import os
import sys
import shutil
import string
import re
from astropy.io.fits import getheader
from astropy.io import fits
from op... | LCOGTREPO_NAMElcogtsnpipePATH_START.@lcogtsnpipe_extracted@lcogtsnpipe-master@trunk@bin@lscsn.py@.PATH_END.py |
{
"filename": "cris.py",
"repo_name": "spedas/pyspedas",
"repo_path": "pyspedas_extracted/pyspedas-master/pyspedas/projects/ace/cris.py",
"type": "Python"
} | from .load import load
from pytplot import options
from pyspedas.utilities.datasets import find_datasets
# This routine was originally in ace/__init__.py, until being moved to its own file.
# Please refer to __init__.py if you need to see the revision history before it was moved.
def cris(trange=['2018-11-5', '2018-1... | spedasREPO_NAMEpyspedasPATH_START.@pyspedas_extracted@pyspedas-master@pyspedas@projects@ace@cris.py@.PATH_END.py |
{
"filename": "adclass.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/gemini_instruments/gpi/adclass.py",
"type": "Python"
} | from astrodata import astro_data_tag, astro_data_descriptor, TagSet
from ..gemini import AstroDataGemini
class AstroDataGpi(AstroDataGemini):
__keyword_dict = dict(array_section='DATASEC',
detector_section='DATASEC',
exposure_time='ITIME',
... | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@gemini_instruments@gpi@adclass.py@.PATH_END.py |
{
"filename": "CustomHotRegion_Accreting.py",
"repo_name": "xpsi-group/xpsi",
"repo_path": "xpsi_extracted/xpsi-main/examples/examples_modeling_tutorial/modules/CustomHotRegion_Accreting.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jun 6 16:46:36 2024
@author: bas
"""
import xpsi
from xpsi import Parameter
import numpy as np
class CustomHotRegion_Accreting(xpsi.HotRegion):
"""Custom implementation of HotRegion. Accreting Atmosphere model by
Anna Bobrikova. The paramete... | xpsi-groupREPO_NAMExpsiPATH_START.@xpsi_extracted@xpsi-main@examples@examples_modeling_tutorial@modules@CustomHotRegion_Accreting.py@.PATH_END.py |
{
"filename": "version.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py2/scipy/version.py",
"type": "Python"
} |
# THIS FILE IS GENERATED FROM SCIPY SETUP.PY
short_version = '1.2.3'
version = '1.2.3'
full_version = '1.2.3'
git_revision = 'bc29b5bf5f8a1f5370407a4e33005277a53ef40b'
release = True
if not release:
version = full_version
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py2@scipy@version.py@.PATH_END.py |
{
"filename": "_colorsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/waterfall/hoverlabel/font/_colorsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="colorsrc", parent_name="waterfall.hoverlabel.font", **kwargs
):
super(ColorsrcValidator, self).__init__(
plotly_name=plotly_name,
par... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@waterfall@hoverlabel@font@_colorsrc.py@.PATH_END.py |
{
"filename": "_legend.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/ohlc/_legend.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LegendValidator(_plotly_utils.basevalidators.SubplotidValidator):
def __init__(self, plotly_name="legend", parent_name="ohlc", **kwargs):
super(LegendValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
d... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@ohlc@_legend.py@.PATH_END.py |
{
"filename": "test_foregrounds.py",
"repo_name": "HERA-Team/hera_sim",
"repo_path": "hera_sim_extracted/hera_sim-main/hera_sim/tests/test_foregrounds.py",
"type": "Python"
} | import pytest
import numpy as np
from astropy import units
from contextlib import ExitStack as does_not_raise
from uvtools.utils import FFT, fourier_freqs
from hera_sim import DATA_PATH, foregrounds
from hera_sim.interpolators import Beam, Tsky
@pytest.fixture(scope="function")
def omega_p():
beamfile = DATA_PA... | HERA-TeamREPO_NAMEhera_simPATH_START.@hera_sim_extracted@hera_sim-main@hera_sim@tests@test_foregrounds.py@.PATH_END.py |
{
"filename": "ticket.py",
"repo_name": "crossbario/crossbar",
"repo_path": "crossbar_extracted/crossbar-master/crossbar/router/auth/ticket.py",
"type": "Python"
} | #####################################################################################
#
# Copyright (c) typedef int GmbH
# SPDX-License-Identifier: EUPL-1.2
#
#####################################################################################
from typing import Union, Dict, Any
from txaio import make_logger, as_f... | crossbarioREPO_NAMEcrossbarPATH_START.@crossbar_extracted@crossbar-master@crossbar@router@auth@ticket.py@.PATH_END.py |
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