metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "S_symmetry.py",
"repo_name": "SJ001/AI-Feynman",
"repo_path": "AI-Feynman_extracted/AI-Feynman-master/aifeynman/S_symmetry.py",
"type": "Python"
} | # checks for symmetries in the data
from __future__ import print_function
import torch
import os
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import pandas as pd
import numpy as np
import torch
from torch.utils import data
import pickle
from torch.optim.lr_scheduler import CosineAn... | SJ001REPO_NAMEAI-FeynmanPATH_START.@AI-Feynman_extracted@AI-Feynman-master@aifeynman@S_symmetry.py@.PATH_END.py |
{
"filename": "BSplineKernelInst.cc.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/Kernel/BSplineKernelInst.cc.py",
"type": "Python"
} | text = """
//---------------------------------Spheral++----------------------------------//
// BSplineKernel -- The B spline interpolation kernel.
//
// Created by JMO, Mon Nov 29 22:57:26 PST 1999
//----------------------------------------------------------------------------//
#include "Kernel/Kernel.hh"
#include "Ker... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@Kernel@BSplineKernelInst.cc.py@.PATH_END.py |
{
"filename": "api.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/analysis_modules/sunyaev_zeldovich/api.py",
"type": "Python"
} | from yt.utilities.exceptions import YTModuleRemoved
raise YTModuleRemoved(
"sunyaev_zeldovich",
"https://github.com/yt-project/yt_astro_analysis",
"https://yt-astro-analysis.readthedocs.io/",
)
| rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@analysis_modules@sunyaev_zeldovich@api.py@.PATH_END.py |
{
"filename": "test_util.py",
"repo_name": "spacetelescope/jwst",
"repo_path": "jwst_extracted/jwst-main/jwst/assign_wcs/tests/test_util.py",
"type": "Python"
} | """
Test the utility functions
"""
import os
from astropy.modeling.models import Shift, Identity
from astropy.table import QTable
from stdatamodels.jwst import datamodels
from jwst.lib.catalog_utils import SkyObject
from jwst.assign_wcs.util import (
get_object_info, wcs_bbox_from_shape, subarray_transform,
... | spacetelescopeREPO_NAMEjwstPATH_START.@jwst_extracted@jwst-main@jwst@assign_wcs@tests@test_util.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/table/stream/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._token import TokenValidator
from ._maxpoints import MaxpointsValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValid... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@table@stream@__init__.py@.PATH_END.py |
{
"filename": "_tickformatstops.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/streamtube/colorbar/_tickformatstops.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
def __init__(
self, plotly_name="tickformatstops", parent_name="streamtube.colorbar", **kwargs
):
super(TickformatstopsValidator, self).__init__(
plotly_name=plo... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@streamtube@colorbar@_tickformatstops.py@.PATH_END.py |
{
"filename": "test_points.py",
"repo_name": "yt-project/yt",
"repo_path": "yt_extracted/yt-main/yt/data_objects/tests/test_points.py",
"type": "Python"
} | import numpy as np
from numpy.testing import assert_equal
import yt
from yt.testing import fake_random_ds
def setup_module():
from yt.config import ytcfg
ytcfg["yt", "internals", "within_testing"] = True
def test_point_creation():
ds = fake_random_ds(16)
p1 = ds.point(ds.domain_center)
p2 = ds... | yt-projectREPO_NAMEytPATH_START.@yt_extracted@yt-main@yt@data_objects@tests@test_points.py@.PATH_END.py |
{
"filename": "time_series.py",
"repo_name": "v-morello/riptide",
"repo_path": "riptide_extracted/riptide-master/riptide/time_series.py",
"type": "Python"
} | import copy
import warnings
##### Non-standard imports #####
import numpy as np
##### Local imports #####
from .running_medians import fast_running_median
from .libffa import downsample, generate_signal
from .reading import PrestoInf, SigprocHeader
from .metadata import Metadata
from .folding import fold
from .timing... | v-morelloREPO_NAMEriptidePATH_START.@riptide_extracted@riptide-master@riptide@time_series.py@.PATH_END.py |
{
"filename": "test_lax_sfh.py",
"repo_name": "ArgonneCPAC/diffstar",
"repo_path": "diffstar_extracted/diffstar-main/diffstar/tests/test_lax_sfh.py",
"type": "Python"
} | """
"""
import numpy as np
from jax import jit as jjit
from jax import vmap
from ..defaults import DEFAULT_U_MS_PARAMS, DEFAULT_U_Q_PARAMS, FB, LGT0
from ..kernels.kernel_builders import get_sfh_from_mah_kern
from .test_gas import _get_default_mah_params
def _get_all_default_params():
u_ms_params, u_q_params = D... | ArgonneCPACREPO_NAMEdiffstarPATH_START.@diffstar_extracted@diffstar-main@diffstar@tests@test_lax_sfh.py@.PATH_END.py |
{
"filename": "_thickness.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattergl/marker/colorbar/_thickness.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="thickness", parent_name="scattergl.marker.colorbar", **kwargs
):
super(ThicknessValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattergl@marker@colorbar@_thickness.py@.PATH_END.py |
{
"filename": "ptemcee.py",
"repo_name": "gwastro/pycbc",
"repo_path": "pycbc_extracted/pycbc-master/pycbc/inference/sampler/ptemcee.py",
"type": "Python"
} | # Copyright (C) 2016 Collin Capano
# This program is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 3 of the License, or (at your
# option) any later version.
#
# This program is distributed in t... | gwastroREPO_NAMEpycbcPATH_START.@pycbc_extracted@pycbc-master@pycbc@inference@sampler@ptemcee.py@.PATH_END.py |
{
"filename": "N1pp_test.ipynb",
"repo_name": "catketchup/lens_rot_bias",
"repo_path": "lens_rot_bias_extracted/lens_rot_bias-main/N1aa_notebooks/N1pp_test.ipynb",
"type": "Jupyter Notebook"
} | ```python
import os
import numpy as np
import healpy as hp
import matplotlib.pyplot as plt
import curvedsky
import orphics
from orphics import maps, cosmology
from math import pi
import plancklens
from plancklens import utils
from plancklens import nhl
from plancklens.n1 import n1
from plancklens import qest, qecl, q... | catketchupREPO_NAMElens_rot_biasPATH_START.@lens_rot_bias_extracted@lens_rot_bias-main@N1aa_notebooks@N1pp_test.ipynb@.PATH_END.py |
{
"filename": "test_spark.py",
"repo_name": "hyperopt/hyperopt",
"repo_path": "hyperopt_extracted/hyperopt-master/hyperopt/tests/integration/test_spark.py",
"type": "Python"
} | import contextlib
import logging
import os
import shutil
import tempfile
import time
import timeit
import unittest
import numpy as np
from pyspark.sql import SparkSession
from io import StringIO
from hyperopt import SparkTrials, anneal, base, fmin, hp, rand
from hyperopt.base import STATUS_OK
from hyperopt.tests.uni... | hyperoptREPO_NAMEhyperoptPATH_START.@hyperopt_extracted@hyperopt-master@hyperopt@tests@integration@test_spark.py@.PATH_END.py |
{
"filename": "simple-inconsistency.ipynb",
"repo_name": "nanograv/holodeck",
"repo_path": "holodeck_extracted/holodeck-main/notebooks/devs/sams/simple-inconsistency.ipynb",
"type": "Jupyter Notebook"
} | ```python
# %load ../init.ipy
%reload_ext autoreload
%autoreload 2
# Builtin packages
from importlib import reload
import logging
import os
from pathlib import Path
import sys
import warnings
# standard secondary packages
import astropy as ap
import h5py
import matplotlib as mpl
import matplotlib.pyplot as plt
import... | nanogravREPO_NAMEholodeckPATH_START.@holodeck_extracted@holodeck-main@notebooks@devs@sams@simple-inconsistency.ipynb@.PATH_END.py |
{
"filename": "paramstest.py",
"repo_name": "j0r1/GRALE2",
"repo_path": "GRALE2_extracted/GRALE2-master/pygrale/tests/paramstest.py",
"type": "Python"
} | from grale.lenses import *
from grale.constants import *
import copy
import pprint
import numpy as np
Dd = 1000*DIST_MPC
AS = ANGLE_ARCSEC
testLenses = [
{
"name": "GaussLens",
"type": GaussLens,
"params": { "mass": 1e14*MASS_SUN,
"width": 10*AS },
... | j0r1REPO_NAMEGRALE2PATH_START.@GRALE2_extracted@GRALE2-master@pygrale@tests@paramstest.py@.PATH_END.py |
{
"filename": "_outlinewidth.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_outlinewidth.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="outlinewidth",
parent_name="scattergeo.marker.colorbar",
**kwargs,
):
super(OutlinewidthValidator, self).__init__(
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattergeo@marker@colorbar@_outlinewidth.py@.PATH_END.py |
{
"filename": "tpu_embedding_base.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/tpu/tpu_embedding_base.py",
"type": "Python"
} | # Copyright 2022 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@tpu@tpu_embedding_base.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "gammapy/gammapy",
"repo_path": "gammapy_extracted/gammapy-main/gammapy/astro/population/tests/__init__.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
| gammapyREPO_NAMEgammapyPATH_START.@gammapy_extracted@gammapy-main@gammapy@astro@population@tests@__init__.py@.PATH_END.py |
{
"filename": "prototype_light_curve_fit.ipynb",
"repo_name": "jmason86/James-s-EVE-Dimming-Index-JEDI",
"repo_path": "James-s-EVE-Dimming-Index-JEDI_extracted/James-s-EVE-Dimming-Index-JEDI-master/prototype/prototype_light_curve_fit.ipynb",
"type": "Jupyter Notebook"
} | ```python
# Standard modules
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.pipeline import make_pipeline
from sklearn.model_selection import validation_curve, ShuffleSplit
from sklearn.metrics import explained_variance_score, make_scorer
from sklearn.svm import SVR
# Custom module... | jmason86REPO_NAMEJames-s-EVE-Dimming-Index-JEDIPATH_START.@James-s-EVE-Dimming-Index-JEDI_extracted@James-s-EVE-Dimming-Index-JEDI-master@prototype@prototype_light_curve_fit.ipynb@.PATH_END.py |
{
"filename": "_stream.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/contourcarpet/_stream.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Stream(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "contourcarpet"
_path_str = "contourcarpet.stream"
_valid_props = {"maxpoints", "token"}
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@contourcarpet@_stream.py@.PATH_END.py |
{
"filename": "test_conc_mass.py",
"repo_name": "astropy/halotools",
"repo_path": "halotools_extracted/halotools-master/halotools/empirical_models/phase_space_models/analytic_models/satellites/nfw/conc_mass/tests/test_conc_mass.py",
"type": "Python"
} | """
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
from astropy.table import Table
from astropy.utils.misc import NumpyRNGContext
import pytest
from ..dutton_maccio14 import dutton_maccio14
from ..direct_from_halo_catalog import direct_from_halo_catalog
__al... | astropyREPO_NAMEhalotoolsPATH_START.@halotools_extracted@halotools-master@halotools@empirical_models@phase_space_models@analytic_models@satellites@nfw@conc_mass@tests@test_conc_mass.py@.PATH_END.py |
{
"filename": "RGB_check.py",
"repo_name": "benrendle/AIMS",
"repo_path": "AIMS_extracted/AIMS-master/AIMS_BEN/RGB_check.py",
"type": "Python"
} | ''' Script to remove models that have no He-core masses '''
import numpy as np
import pandas as pd
df = pd.read_csv('/home/bmr135/git_AIMS/AIMS/AIMS_BEN/CLES_RGB_v3',delimiter=r'\s+',names=['ext','m','r','l','Z','X','a','t','me','xc','p'],skiprows=1)
df = df[df['me'] > 0.0]
df.to_csv('/home/bmr135/git_AIMS/AIMS/AIMS_... | benrendleREPO_NAMEAIMSPATH_START.@AIMS_extracted@AIMS-master@AIMS_BEN@RGB_check.py@.PATH_END.py |
{
"filename": "plot_violins.py",
"repo_name": "MNGuenther/allesfitter",
"repo_path": "allesfitter_extracted/allesfitter-master/allesfitter/postprocessing/plot_violins.py",
"type": "Python"
} | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 30 12:14:51 2018
@author:
Dr. Maximilian N. Günther
European Space Agency (ESA)
European Space Research and Technology Centre (ESTEC)
Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands
Email: maximilian.guenther@esa.int
GitHub: mnguenther
Twitter: m_n... | MNGuentherREPO_NAMEallesfitterPATH_START.@allesfitter_extracted@allesfitter-master@allesfitter@postprocessing@plot_violins.py@.PATH_END.py |
{
"filename": "app.py",
"repo_name": "nu-radio/NuRadioMC",
"repo_path": "NuRadioMC_extracted/NuRadioMC-master/NuRadioMC/examples/SignalVisualization/app.py",
"type": "Python"
} | import dash
from flask import Flask, send_from_directory
import os
server = Flask(__name__, static_folder='static')
app = dash.Dash(server=server)
# @server.route('/favicon.ico')
# def favicon():
# return send_from_directory(os.path.join(server.root_path, 'static'),
# 'favicon.ico'... | nu-radioREPO_NAMENuRadioMCPATH_START.@NuRadioMC_extracted@NuRadioMC-master@NuRadioMC@examples@SignalVisualization@app.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "samb8s/PsrPopPy",
"repo_path": "PsrPopPy_extracted/PsrPopPy-master/setup.py",
"type": "Python"
} | #!/usr/bin/env python
# Call enscons to emulate setup.py, installing if necessary.
# copied from https://github.com/dholth/hello-pyrust/blob/master/setup.py
import sys, subprocess, os.path
sys.path[0:0] = ['setup-requires']
try:
import enscons.setup
except ImportError:
requires = ["enscons"]
subprocess... | samb8sREPO_NAMEPsrPopPyPATH_START.@PsrPopPy_extracted@PsrPopPy-master@setup.py@.PATH_END.py |
{
"filename": "common_utils.py",
"repo_name": "google/flax",
"repo_path": "flax_extracted/flax-main/flax/training/common_utils.py",
"type": "Python"
} | # Copyright 2024 The Flax Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | googleREPO_NAMEflaxPATH_START.@flax_extracted@flax-main@flax@training@common_utils.py@.PATH_END.py |
{
"filename": "test_ii_minus_3d.py",
"repo_name": "astropy/halotools",
"repo_path": "halotools_extracted/halotools-master/halotools/mock_observables/ia_correlations/tests/test_ii_minus_3d.py",
"type": "Python"
} | """
Module providing unit-testing for the `~halotools.mock_observables.alignments.w_gplus` function.
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
import warnings
import pytest
from astropy.utils.misc import NumpyRNGContext
from ..ii_minus_3d import ii_minu... | astropyREPO_NAMEhalotoolsPATH_START.@halotools_extracted@halotools-master@halotools@mock_observables@ia_correlations@tests@test_ii_minus_3d.py@.PATH_END.py |
{
"filename": "add_flare_signal.py",
"repo_name": "spacetelescope/astronify",
"repo_path": "astronify_extracted/astronify-main/astronify/simulator/add_flare_signal.py",
"type": "Python"
} | """
.. module:: add_flare_signal
:synopsis: Adds a flare event to an array of fluxes.
.. moduleauthor:: Scott W. Fleming <fleming@stsci.edu>
"""
import numpy as np
def add_flare_signal(fluxes, flare_time, flare_amp, flare_halfwidth):
"""
Model is based on Davenport et al.
(https://ui.adsabs.harvard.e... | spacetelescopeREPO_NAMEastronifyPATH_START.@astronify_extracted@astronify-main@astronify@simulator@add_flare_signal.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/carpet/baxis/tickfont/_size.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="size", parent_name="carpet.baxis.tickfont", **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@carpet@baxis@tickfont@_size.py@.PATH_END.py |
{
"filename": "2. test_pregrid_generation-checkpoint.ipynb",
"repo_name": "kartheikiyer/dense_basis",
"repo_path": "dense_basis_extracted/dense_basis-master/.ipynb_checkpoints/2. test_pregrid_generation-checkpoint.ipynb",
"type": "Jupyter Notebook"
} | ```python
import matplotlib.pyplot as plt
import dense_basis as db
import numpy as np
import sys
# print priors
db.print_priors()
# sample from priors: M*, SFR, tx, Av, Z, z
rseed = 9
rand_sfh_tuple = db.sample_sfh_tuple(random_seed = rseed, Nparam = 1)
print(rand_sfh_tuple)
rand_sfh, rand_time = db.gp_sfh_sklearn... | kartheikiyerREPO_NAMEdense_basisPATH_START.@dense_basis_extracted@dense_basis-master@.ipynb_checkpoints@2. test_pregrid_generation-checkpoint.ipynb@.PATH_END.py |
{
"filename": "readme.md",
"repo_name": "tanner-trickle/EXCEED-DM",
"repo_path": "EXCEED-DM_extracted/EXCEED-DM-main/examples/14/readme.md",
"type": "Markdown"
} | ### Example 14: Si Binned Scatter Rate, valence to conduction
- Calculation: Binned scatter rate
- Target: Si
Valence to conduction transitions in Si using an example $2 \times 2 \times 2$ $\mathbf{k}$-mesh. Wave function coefficients have been doubled to produce artifical "spin dependent" wave functions. Scattering... | tanner-trickleREPO_NAMEEXCEED-DMPATH_START.@EXCEED-DM_extracted@EXCEED-DM-main@examples@14@readme.md@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "alejandrobll/py-sphviewer",
"repo_path": "py-sphviewer_extracted/py-sphviewer-master/sphviewer/tools/__init__.py",
"type": "Python"
} | from __future__ import absolute_import, division, print_function
from . import camera_tools
from . import hsv_tools
from .QuickView import QuickView
| alejandrobllREPO_NAMEpy-sphviewerPATH_START.@py-sphviewer_extracted@py-sphviewer-master@sphviewer@tools@__init__.py@.PATH_END.py |
{
"filename": "test_base.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/tests/unit_tests/retrievers/test_base.py",
"type": "Python"
} | """Test Base Retriever logic."""
from __future__ import annotations
from typing import Dict, List, Optional
import pytest
from langchain_core.callbacks import (
AsyncCallbackManagerForRetrieverRun,
CallbackManagerForRetrieverRun,
)
from langchain_core.retrievers import BaseRetriever, Document
from tests.uni... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@tests@unit_tests@retrievers@test_base.py@.PATH_END.py |
{
"filename": "test_introspection.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/astropy/utils/tests/test_introspection.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import (absolute_import, division, print_function,
unicode_literals)
# namedtuple is needed for find_mod_objs so it can have a non-local module
from collections import namedtuple
import pytest
from ...extern impor... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@astropy@utils@tests@test_introspection.py@.PATH_END.py |
{
"filename": "_tickformatstopdefaults.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/sunburst/marker/colorbar/_tickformatstopdefaults.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self,
plotly_name="tickformatstopdefaults",
parent_name="sunburst.marker.colorbar",
**kwargs
):
super(TickformatstopdefaultsValidator... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@sunburst@marker@colorbar@_tickformatstopdefaults.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/parcats/line/colorbar/_bgcolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="bgcolor", parent_name="parcats.line.colorbar", **kwargs
):
super(BgcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@parcats@line@colorbar@_bgcolor.py@.PATH_END.py |
{
"filename": "array_data_adapter_test.py",
"repo_name": "fchollet/keras",
"repo_path": "keras_extracted/keras-master/keras/src/trainers/data_adapters/array_data_adapter_test.py",
"type": "Python"
} | import jax
import jax.experimental.sparse as jax_sparse
import numpy as np
import pandas
import scipy
import tensorflow as tf
import torch
from absl.testing import parameterized
from keras.src import backend
from keras.src import testing
from keras.src.testing.test_utils import named_product
from keras.src.trainers.da... | fcholletREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@trainers@data_adapters@array_data_adapter_test.py@.PATH_END.py |
{
"filename": "forms.py",
"repo_name": "mavrix93/LightCurvesClassifier",
"repo_path": "LightCurvesClassifier_extracted/LightCurvesClassifier-master/lcc_web/web/interface/forms.py",
"type": "Python"
} | from django import forms
class LoginForm(forms.Form):
user_name = forms.CharField(label='Your name', max_length=100)
password = forms.CharField(widget=forms.PasswordInput)
| mavrix93REPO_NAMELightCurvesClassifierPATH_START.@LightCurvesClassifier_extracted@LightCurvesClassifier-master@lcc_web@web@interface@forms.py@.PATH_END.py |
{
"filename": "test_mev_widths.py",
"repo_name": "LoganAMorrison/blackthorn",
"repo_path": "blackthorn_extracted/blackthorn-master/test/test_mev_widths.py",
"type": "Python"
} | from pytest import approx
import numpy as np
from scipy import integrate
from blackthorn import fields
from blackthorn.fields import QuantumField
from blackthorn.constants import Gen, SW, GF, CKM
from blackthorn.models import RhNeutrinoMeV
from blackthorn.models.base import RhNeutrinoBase
charged_leptons = {
Gen.... | LoganAMorrisonREPO_NAMEblackthornPATH_START.@blackthorn_extracted@blackthorn-master@test@test_mev_widths.py@.PATH_END.py |
{
"filename": "negfd_simplex.py",
"repo_name": "vortex-exoplanet/VIP",
"repo_path": "VIP_extracted/VIP-master/vip_hci/fm/negfd_simplex.py",
"type": "Python"
} | #! /usr/bin/env python
"""
Module with simplex (Nelder-Mead) optimization for defining the flux and
position of a companion using the Negative Fake Companion.
"""
import matplotlib.pyplot as plt
import numpy as np
from scipy.optimize import minimize
from ..config import time_ini
from ..config import timing
from ..con... | vortex-exoplanetREPO_NAMEVIPPATH_START.@VIP_extracted@VIP-master@vip_hci@fm@negfd_simplex.py@.PATH_END.py |
{
"filename": "_legendgrouptitle.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/parcoords/_legendgrouptitle.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Legendgrouptitle(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "parcoords"
_path_str = "parcoords.legendgrouptitle"
_valid_props = {"font", "text"... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@parcoords@_legendgrouptitle.py@.PATH_END.py |
{
"filename": "_colorsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/pie/title/font/_colorsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="colorsrc", parent_name="pie.title.font", **kwargs):
super(ColorsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@pie@title@font@_colorsrc.py@.PATH_END.py |
{
"filename": "bicep_util.py",
"repo_name": "benabed/clik",
"repo_path": "clik_extracted/clik-main/src/attic/bicep/bicep_util.py",
"type": "Python"
} | # bicep_util.py
#
# This is a module containing subfunctions to evaluate the bicep1 or bicep2 likelihood
#
# get_bpwf
# load_cmbfast
# calc_expvals
# read_data_products_bandpowers
# read_M
# calc_vecp
# g
# vecp
# saveLikelihoodToText
#
#$Id: bicep_util.py,v 1.1.2.5 2014/03/12 18:20:57 dbarkats Exp $ #
import numpy a... | benabedREPO_NAMEclikPATH_START.@clik_extracted@clik-main@src@attic@bicep@bicep_util.py@.PATH_END.py |
{
"filename": "MonochromatorCalibrationErrors.ipynb",
"repo_name": "xraypy/xraylarch",
"repo_path": "xraylarch_extracted/xraylarch-master/examples/Jupyter/MonochromatorCalibrationErrors.ipynb",
"type": "Jupyter Notebook"
} | # Mono Calibration and EXAFS Results
This notebook explores the effect of energy miscalibration on EXAFS results.
EXAFS measurements need well-calibrated energies, typically coming from a double-crystal monochromator. While EXAFS can be measured in modes without a double-crystal monochromator, that is sort of unusua... | xraypyREPO_NAMExraylarchPATH_START.@xraylarch_extracted@xraylarch-master@examples@Jupyter@MonochromatorCalibrationErrors.ipynb@.PATH_END.py |
{
"filename": "_size.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/ternary/caxis/tickfont/_size.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="size", parent_name="layout.ternary.caxis.tickfont", **kwargs
):
super(SizeValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@ternary@caxis@tickfont@_size.py@.PATH_END.py |
{
"filename": "llama_expand_mask.py",
"repo_name": "OpenAccess-AI-Collective/axolotl",
"repo_path": "axolotl_extracted/axolotl-main/src/axolotl/monkeypatch/llama_expand_mask.py",
"type": "Python"
} | """
expands the binary attention mask per 3.2.2 of https://arxiv.org/pdf/2107.02027.pdf
"""
from typing import Optional
import torch
from axolotl.monkeypatch.utils import mask_2d_to_4d
def _expand_mask(mask: torch.Tensor, dtype: torch.dtype, tgt_len: Optional[int] = None):
masked_zero_one_mask = mask_2d_to_4d(m... | OpenAccess-AI-CollectiveREPO_NAMEaxolotlPATH_START.@axolotl_extracted@axolotl-main@src@axolotl@monkeypatch@llama_expand_mask.py@.PATH_END.py |
{
"filename": "_style.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/icicle/marker/colorbar/tickfont/_style.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StyleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="style",
parent_name="icicle.marker.colorbar.tickfont",
**kwargs,
):
super(StyleValidator, self).__init__(
plotly_name... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@icicle@marker@colorbar@tickfont@_style.py@.PATH_END.py |
{
"filename": "core.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/visualization/wcsaxes/core.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from collections import defaultdict
from functools import partial
import numpy as np
from matplotlib import rcParams
from matplotlib.artist import Artist
from matplotlib.axes import Axes, subplot_class_factory
from matplotlib.transforms import Affine2D, ... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@visualization@wcsaxes@core.py@.PATH_END.py |
{
"filename": "tf_text_graph_efficientdet.py",
"repo_name": "itseez/opencv",
"repo_path": "opencv_extracted/opencv-master/samples/dnn/tf_text_graph_efficientdet.py",
"type": "Python"
} | # This file is a part of OpenCV project.
# It is a subject to the license terms in the LICENSE file found in the top-level directory
# of this distribution and at http://opencv.org/license.html.
#
# Copyright (C) 2020, Intel Corporation, all rights reserved.
# Third party copyrights are property of their respective own... | itseezREPO_NAMEopencvPATH_START.@opencv_extracted@opencv-master@samples@dnn@tf_text_graph_efficientdet.py@.PATH_END.py |
{
"filename": "_zauto.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/histogram2d/_zauto.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ZautoValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="zauto", parent_name="histogram2d", **kwargs):
super(ZautoValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@histogram2d@_zauto.py@.PATH_END.py |
{
"filename": "test_sfd.py",
"repo_name": "gregreen/dustmaps",
"repo_path": "dustmaps_extracted/dustmaps-master/dustmaps/tests/test_sfd.py",
"type": "Python"
} | #!/usr/bin/env python
#
# test_sfd.py
# Test query code for Schlegel, Finkbeiner & Davis (1998) dust reddening map.
#
# Copyright (C) 2016 Gregory M. Green
#
# 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... | gregreenREPO_NAMEdustmapsPATH_START.@dustmaps_extracted@dustmaps-master@dustmaps@tests@test_sfd.py@.PATH_END.py |
{
"filename": "equation_of_state.py",
"repo_name": "geodynamics/burnman",
"repo_path": "burnman_extracted/burnman-main/burnman/eos/equation_of_state.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.
class EquationOfState(object):
"""
This class defines the interface for an equation of state
that a m... | geodynamicsREPO_NAMEburnmanPATH_START.@burnman_extracted@burnman-main@burnman@eos@equation_of_state.py@.PATH_END.py |
{
"filename": "plotAntenna.py",
"repo_name": "lwa-project/lsl",
"repo_path": "lsl_extracted/lsl-main/scripts/plotAntenna.py",
"type": "Python"
} | #!/usr/bin/env python3
"""
Example script to plot the relative response of an isolated LWA antenna
as a function of azimuth and altitude.
"""
import os
import sys
import numpy as np
import argparse
from scipy.interpolate import interp1d
from lsl.sim.beam import get_avaliable_models, beam_response
from lsl.misc imp... | lwa-projectREPO_NAMElslPATH_START.@lsl_extracted@lsl-main@scripts@plotAntenna.py@.PATH_END.py |
{
"filename": "picca_export_cross_covariance.py",
"repo_name": "igmhub/picca",
"repo_path": "picca_extracted/picca-master/bin/picca_export_cross_covariance.py",
"type": "Python"
} | #!/usr/bin/env python
"""Compute the cross-covariance matrix between two correlations."""
import argparse
import sys
import numpy as np
import scipy.linalg
import fitsio
from picca.utils import compute_cov, userprint
def main(cmdargs):
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDe... | igmhubREPO_NAMEpiccaPATH_START.@picca_extracted@picca-master@bin@picca_export_cross_covariance.py@.PATH_END.py |
{
"filename": "three_body_bridge.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/examples/textbook/three_body_bridge.py",
"type": "Python"
} | import numpy
from amuse.lab import *
from amuse.couple import bridge
def new_system_of_sun_and_earth():
stars = Particles(3)
sun = stars[0]
sun.mass = units.MSun(1.0)
sun.position = units.m(numpy.array((0.0,0.0,0.0)))
sun.velocity = units.ms(numpy.array((0.0,0.0,0.0)))
sun.radius = units.RSun(... | amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@examples@textbook@three_body_bridge.py@.PATH_END.py |
{
"filename": "_stream.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/isosurface/_stream.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Stream(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "isosurface"
_path_str = "isosurface.stream"
_valid_props = {"maxpoints", "token"}
# max... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@isosurface@_stream.py@.PATH_END.py |
{
"filename": "_error.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/py/py2/py/_error.py",
"type": "Python"
} | """
create errno-specific classes for IO or os calls.
"""
from types import ModuleType
import sys, os, errno
class Error(EnvironmentError):
def __repr__(self):
return "%s.%s %r: %s " %(self.__class__.__module__,
self.__class__.__name__,
self.__... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@py@py2@py@_error.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "AMReX-Astro/Castro",
"repo_path": "Castro_extracted/Castro-main/Exec/science/subch_planar/README.md",
"type": "Markdown"
} | We want to study the impact of shock detection and burning treatment in the context of a double detonation SNe Ia by simulating a lateral flame in the accreted He layer on the white dwarf. | AMReX-AstroREPO_NAMECastroPATH_START.@Castro_extracted@Castro-main@Exec@science@subch_planar@README.md@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "amusecode/TRES",
"repo_path": "TRES_extracted/TRES-main/seculartriple_TPS/__init__.py",
"type": "Python"
} | amusecodeREPO_NAMETRESPATH_START.@TRES_extracted@TRES-main@seculartriple_TPS@__init__.py@.PATH_END.py | |
{
"filename": "_color.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/waterfall/connector/line/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="waterfall.connector.line", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@waterfall@connector@line@_color.py@.PATH_END.py |
{
"filename": "exomol_all.ipynb",
"repo_name": "Beryl-Jingxin/PyExoCross",
"repo_path": "PyExoCross_extracted/PyExoCross-main/ExoMol_format/exomol_all.ipynb",
"type": "Jupyter Notebook"
} | ```python
import os
import requests
import pandas as pd
import urllib.request
from tqdm import tqdm
from io import StringIO
from bs4 import BeautifulSoup
```
```python
master_foldername = '/home/jingxin/data/master/'
exomol_all_path = master_foldername + 'exomol__20200720.all'
```
```python
def get_new_def():
l... | Beryl-JingxinREPO_NAMEPyExoCrossPATH_START.@PyExoCross_extracted@PyExoCross-main@ExoMol_format@exomol_all.ipynb@.PATH_END.py |
{
"filename": "bayes.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scikit-learn/py2/sklearn/linear_model/bayes.py",
"type": "Python"
} | """
Various bayesian regression
"""
from __future__ import print_function
# Authors: V. Michel, F. Pedregosa, A. Gramfort
# License: BSD 3 clause
from math import log
import numpy as np
from scipy import linalg
from .base import LinearModel
from ..base import RegressorMixin
from ..utils.extmath import fast_logdet, p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scikit-learn@py2@sklearn@linear_model@bayes.py@.PATH_END.py |
{
"filename": "placing_text_boxes.py",
"repo_name": "matplotlib/matplotlib",
"repo_path": "matplotlib_extracted/matplotlib-main/galleries/examples/text_labels_and_annotations/placing_text_boxes.py",
"type": "Python"
} | """
Placing text boxes
==================
When decorating Axes with text boxes, two useful tricks are to place the text
in axes coordinates (see :ref:`transforms_tutorial`),
so the text doesn't move around with changes in x or y limits. You
can also use the ``bbox`` property of text to surround the text with a
`~matp... | matplotlibREPO_NAMEmatplotlibPATH_START.@matplotlib_extracted@matplotlib-main@galleries@examples@text_labels_and_annotations@placing_text_boxes.py@.PATH_END.py |
{
"filename": "exceptions.py",
"repo_name": "spacetelescope/astronify",
"repo_path": "astronify_extracted/astronify-main/astronify/utils/exceptions.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
Custom exceptions used in the astronify classes
"""
from astropy.utils.exceptions import AstropyWarning
class InvalidInputError(Exception):
"""
Exception to be issued when user input is incorrect in a
way that prevents the function fro... | spacetelescopeREPO_NAMEastronifyPATH_START.@astronify_extracted@astronify-main@astronify@utils@exceptions.py@.PATH_END.py |
{
"filename": "test_rst.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/astropy/io/ascii/tests/test_rst.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from ....extern.six.moves import cStringIO as StringIO
from ... import ascii
from .common import (assert_equal, assert_almost_equal,
setup_function, teardown_function)
def assert_equal_splitlines(arg1, arg2):
assert_equal(arg1.... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@astropy@io@ascii@tests@test_rst.py@.PATH_END.py |
{
"filename": "analyze_l2.py",
"repo_name": "Keck-DataReductionPipelines/KPF-Pipeline",
"repo_path": "KPF-Pipeline_extracted/KPF-Pipeline-master/modules/quicklook/src/analyze_l2.py",
"type": "Python"
} | import numpy as np
from datetime import datetime
import matplotlib.pyplot as plt
from modules.Utils.kpf_parse import HeaderParse
from astropy.table import Table
class AnalyzeL2:
"""
Description:
This class contains functions to analyze L2 spectra (storing them
as attributes) and functions to p... | Keck-DataReductionPipelinesREPO_NAMEKPF-PipelinePATH_START.@KPF-Pipeline_extracted@KPF-Pipeline-master@modules@quicklook@src@analyze_l2.py@.PATH_END.py |
{
"filename": "response.py",
"repo_name": "jzuhone/soxs",
"repo_path": "soxs_extracted/soxs-main/soxs/response.py",
"type": "Python"
} | import astropy.units as u
import numpy as np
from astropy import wcs
from astropy.io import fits
from tqdm.auto import tqdm
from soxs.constants import erg_per_keV
from soxs.instrument_registry import instrument_registry
from soxs.utils import (
ensure_numpy_array,
get_data_file,
image_pos,
mylog,
p... | jzuhoneREPO_NAMEsoxsPATH_START.@soxs_extracted@soxs-main@soxs@response.py@.PATH_END.py |
{
"filename": "_specular.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/mesh3d/lighting/_specular.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SpecularValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="specular", parent_name="mesh3d.lighting", **kwargs):
super(SpecularValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@mesh3d@lighting@_specular.py@.PATH_END.py |
{
"filename": "EOSAbstractMethods.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/PYB11/Material/EOSAbstractMethods.py",
"type": "Python"
} | #-------------------------------------------------------------------------------
# Helper to inject common virtual methods for equations of state
#-------------------------------------------------------------------------------
from PYB11Generator import *
import inspect
@PYB11ignore
class EOSAbstractMethods:
@PYB... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@PYB11@Material@EOSAbstractMethods.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "PrincetonUniversity/athena",
"repo_path": "athena_extracted/athena-master/tst/regression/scripts/tests/pgen/__init__.py",
"type": "Python"
} | PrincetonUniversityREPO_NAMEathenaPATH_START.@athena_extracted@athena-master@tst@regression@scripts@tests@pgen@__init__.py@.PATH_END.py | |
{
"filename": "misc.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/pip/vendor/distlib/_backport/misc.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
#
# Copyright (C) 2012 The Python Software Foundation.
# See LICENSE.txt and CONTRIBUTORS.txt.
#
"""Backports for individual classes and functions."""
import os
import sys
__all__ = ['cache_from_source', 'callable', 'fsencode']
try:
from imp import cache_from_source
except ImportError:
... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@pip@vendor@distlib@_backport@misc.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/jax/_src/third_party/README.md",
"type": "Markdown"
} | This sub-directory contains third-party code for which Google does not have
copyright. Each sub-directory should correspond to a third-party library and
must contain the appropriate LICENSE file.
See [instructions](https://opensource.google/docs/releasing/preparing/#third-party-components).
| googleREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@_src@third_party@README.md@.PATH_END.py |
{
"filename": "_opacity.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/choroplethmapbox/unselected/marker/_opacity.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="opacity",
parent_name="choroplethmapbox.unselected.marker",
**kwargs
):
super(OpacityValidator, self).__init__(
plotly_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@choroplethmapbox@unselected@marker@_opacity.py@.PATH_END.py |
{
"filename": "test_util.py",
"repo_name": "triton-inference-server/server",
"repo_path": "server_extracted/server-main/qa/common/test_util.py",
"type": "Python"
} | #!/usr/bin/env python3
# Copyright 2018-2023, 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
... | triton-inference-serverREPO_NAMEserverPATH_START.@server_extracted@server-main@qa@common@test_util.py@.PATH_END.py |
{
"filename": "_ypad.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatter3d/line/colorbar/_ypad.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="ypad", parent_name="scatter3d.line.colorbar", **kwargs
):
super(YpadValidator, self).__init__(
plotly_name=plotly_name,
parent_name=pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatter3d@line@colorbar@_ypad.py@.PATH_END.py |
{
"filename": "pool_quantization_test.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/spark/catboost4j-spark/core/src/test/python/pool_quantization_test.py",
"type": "Python"
} | import test_helpers
import pool_test_helpers
from pyspark.ml.linalg import Vectors, VectorUDT
from pyspark.sql import Row
from pyspark.sql.types import *
def implTestQuantizeCase(
srcDataSchema,
srcData,
quantizationParams
):
spark = test_helpers.getOrCreateSparkSession(test_helpers.getCurrentMethodN... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@spark@catboost4j-spark@core@src@test@python@pool_quantization_test.py@.PATH_END.py |
{
"filename": "empca.py",
"repo_name": "sbailey/empca",
"repo_path": "empca_extracted/empca-master/empca.py",
"type": "Python"
} | #!/usr/bin/env python
"""
Weighted Principal Component Analysis using Expectation Maximization
Classic PCA is great but it doesn't know how to handle noisy or missing
data properly. This module provides Weighted Expectation Maximization PCA,
an iterative method for solving PCA while properly weighting data.
Missing ... | sbaileyREPO_NAMEempcaPATH_START.@empca_extracted@empca-master@empca.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/streamtube/colorbar/title/font/_textcase.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextcaseValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="textcase",
parent_name="streamtube.colorbar.title.font",
**kwargs,
):
super(TextcaseValidator, self).__init__(
plo... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@streamtube@colorbar@title@font@_textcase.py@.PATH_END.py |
{
"filename": "test_plot_warnings.py",
"repo_name": "sherpa/sherpa",
"repo_path": "sherpa_extracted/sherpa-main/sherpa/plot/tests/test_plot_warnings.py",
"type": "Python"
} | #
# Copyright (C) 2019, 2020, 2021, 2022, 2023
# 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 your op... | sherpaREPO_NAMEsherpaPATH_START.@sherpa_extracted@sherpa-main@sherpa@plot@tests@test_plot_warnings.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "RadioAstronomySoftwareGroup/pyuvsim",
"repo_path": "pyuvsim_extracted/pyuvsim-main/reference_simulations/first_generation/README.md",
"type": "Markdown"
} | # Reference simulations
The goal of a reference simulation is to provide a simulated instrument output for a set of precisely defined inputs (sky model, antenna positions, primary beam, etc.) to serve as a point of comparison for other simulators and later versions of pyuvsim. Ideally, these tests should span multiple... | RadioAstronomySoftwareGroupREPO_NAMEpyuvsimPATH_START.@pyuvsim_extracted@pyuvsim-main@reference_simulations@first_generation@README.md@.PATH_END.py |
{
"filename": "getstats.py",
"repo_name": "anchal-009/SAVED21cm",
"repo_path": "SAVED21cm_extracted/SAVED21cm-master/src/getstats.py",
"type": "Python"
} | import os; import sys
from src.runpipe import Pipeline, Pipeline_P2
from tqdm.notebook import tqdm
class HiddenPrints:
"""To not print statements while calculating statistics over an ensemble.
"""
def __enter__(self):
self._original_stdout = sys.stdout
sys.stdout = open(os.devnull, 'w')
... | anchal-009REPO_NAMESAVED21cmPATH_START.@SAVED21cm_extracted@SAVED21cm-master@src@getstats.py@.PATH_END.py |
{
"filename": "spectrum.py",
"repo_name": "Jupiter1994/lya-tf",
"repo_path": "lya-tf_extracted/lya-tf-main/lya_fields/spectrum.py",
"type": "Python"
} | import numpy as np
import tensorflow as tf
import time
# local modules
from constants import *
import grid
import util
odf_const = pi * e_cgs * e_cgs / (m_e_cgs * c_cgs)
hilya_f = 0.41619671797998276
hilya_lambda = 1.2150227340678867e-05 # in cm
odf_hilya = hilya_f * hilya_lambda
def gmlt_spec_odf_cosmo(h, e_z):
... | Jupiter1994REPO_NAMElya-tfPATH_START.@lya-tf_extracted@lya-tf-main@lya_fields@spectrum.py@.PATH_END.py |
{
"filename": "redshift.py",
"repo_name": "koustavchandra/gwforge",
"repo_path": "gwforge_extracted/gwforge-main/GWForge/population/redshift.py",
"type": "Python"
} | import numpy, sympy, logging, bilby
from .. import utils
from sympy import symbols, lambdify, integrate
from lal import YRJUL_SI, PC_SI
from scipy.interpolate import interp1d
from scipy.integrate import quad
from pycbc.population import population_models
from rich.progress import track
logging.basicConfig(level=logging... | koustavchandraREPO_NAMEgwforgePATH_START.@gwforge_extracted@gwforge-main@GWForge@population@redshift.py@.PATH_END.py |
{
"filename": "credentials.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/src/integrations/prefect-databricks/prefect_databricks/credentials.py",
"type": "Python"
} | """Credential classes used to perform authenticated interactions with Databricks"""
from typing import Any, Dict, Optional
from httpx import AsyncClient
from pydantic import Field, SecretStr
from prefect.blocks.core import Block
class DatabricksCredentials(Block):
"""
Block used to manage Databricks authen... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@src@integrations@prefect-databricks@prefect_databricks@credentials.py@.PATH_END.py |
{
"filename": "test_flow.py",
"repo_name": "minaskar/pocomc",
"repo_path": "pocomc_extracted/pocomc-main/tests/test_flow.py",
"type": "Python"
} | import unittest
import torch
from pocomc.flow import Flow
class FlowTestCase(unittest.TestCase):
@staticmethod
def make_data():
# Make a dataset to use in tests
torch.manual_seed(0)
n_data = 100
n_dim = 4
x = torch.randn(size=(n_data, n_dim)) * 1.5
return x
... | minaskarREPO_NAMEpocomcPATH_START.@pocomc_extracted@pocomc-main@tests@test_flow.py@.PATH_END.py |
{
"filename": "specutils.py",
"repo_name": "andycasey/sick",
"repo_path": "sick_extracted/sick-master/sick/specutils.py",
"type": "Python"
} | # coding: utf-8
""" Spectroscopic-related utilities for sick """
from __future__ import division, print_function
__author__ = "Andy Casey <arc@ast.cam.ac.uk>"
__all__ = ["Spectrum1D"]
# Standard library
import logging
import os
# Third-party
import numpy as np
import pyfits
import scipy.sparse
logger = logging.... | andycaseyREPO_NAMEsickPATH_START.@sick_extracted@sick-master@sick@specutils.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "aabdurrouf/piXedfit",
"repo_path": "piXedfit_extracted/piXedfit-main/examples/README.md",
"type": "Markdown"
} | # Examples of analysis of Imaging data and integral field spectroscopy (IFS) data with piXedfit
* `FUVtoFIR`: analysis of 23-band imaging data ranging from far-ultraviolet (FUV) to far-infrared (FIR) --> target galaxy M51
* `FUVtoNIR_MaNGA`: analysis of 12-band imaging data ranging from FUV to near-infrared (NIR), com... | aabdurroufREPO_NAMEpiXedfitPATH_START.@piXedfit_extracted@piXedfit-main@examples@README.md@.PATH_END.py |
{
"filename": "_lineposition.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/parcoords/legendgrouptitle/font/_lineposition.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LinepositionValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(
self,
plotly_name="lineposition",
parent_name="parcoords.legendgrouptitle.font",
**kwargs,
):
super(LinepositionValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@parcoords@legendgrouptitle@font@_lineposition.py@.PATH_END.py |
{
"filename": "_style.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/splom/marker/colorbar/title/font/_style.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StyleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="style",
parent_name="splom.marker.colorbar.title.font",
**kwargs,
):
super(StyleValidator, self).__init__(
plotly_nam... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@splom@marker@colorbar@title@font@_style.py@.PATH_END.py |
{
"filename": "gp_quasiperiodic_activity_derivative.py",
"repo_name": "LucaMalavolta/PyORBIT",
"repo_path": "PyORBIT_extracted/PyORBIT-main/pyorbit/models/gp_quasiperiodic_activity_derivative.py",
"type": "Python"
} | from pyorbit.subroutines.common import *
from pyorbit.models.abstract_model import *
from pyorbit.keywords_definitions import *
from scipy.linalg import cho_factor, cho_solve, lapack, LinAlgError
from scipy import matrix, spatial
class GaussianProcess_QuasiPeriodicActivity_Derivative(AbstractModel):
''' Three pa... | LucaMalavoltaREPO_NAMEPyORBITPATH_START.@PyORBIT_extracted@PyORBIT-main@pyorbit@models@gp_quasiperiodic_activity_derivative.py@.PATH_END.py |
{
"filename": "scatter_gather.py",
"repo_name": "Fermipy/fermipy",
"repo_path": "fermipy_extracted/fermipy-master/fermipy/jobs/scatter_gather.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
Abstract interface for parallel execution of multiple jobs.
The main class is `ScatterGather`, which can submit many instances
of a job with different configurations.
"""
from __future__ import absolute_import, division, print_function
import sys
imp... | FermipyREPO_NAMEfermipyPATH_START.@fermipy_extracted@fermipy-master@fermipy@jobs@scatter_gather.py@.PATH_END.py |
{
"filename": "contributing.md",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/docs/contributing.md",
"type": "Markdown"
} | # Contributing to JAX
<!--* freshness: { reviewed: '2023-11-16' } *-->
Everyone can contribute to JAX, and we value everyone's contributions. There are several
ways to contribute, including:
- Answering questions on JAX's [discussions page](https://github.com/jax-ml/jax/discussions)
- Improving or expanding JAX's [d... | googleREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@docs@contributing.md@.PATH_END.py |
{
"filename": "quicksurvey.py",
"repo_name": "desihub/desisim",
"repo_path": "desisim_extracted/desisim-main/py/desisim/quicksurvey.py",
"type": "Python"
} | '''
desisim.quicksurvey
===================
Code for quickly simulating the survey results given a mock catalog and
a list of tile epochs to observe.
Directly depends on the following DESI products:
* desitarget.mtl
* :mod:`desisim.quickcat`
* `fiberassign <https://github.com/desihub/fiberassign>`_
'''
from __futur... | desihubREPO_NAMEdesisimPATH_START.@desisim_extracted@desisim-main@py@desisim@quicksurvey.py@.PATH_END.py |
{
"filename": "_gradient.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/scattercarpet/marker/_gradient.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Gradient(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "scattercarpet.marker"
_path_str = "scattercarpet.marker.gradient"
_valid_props = {"color",... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@scattercarpet@marker@_gradient.py@.PATH_END.py |
{
"filename": "zero_inflated_poisson.py",
"repo_name": "pyro-ppl/numpyro",
"repo_path": "numpyro_extracted/numpyro-master/examples/zero_inflated_poisson.py",
"type": "Python"
} | # Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
"""
Example: Zero-Inflated Poisson regression model
================================================
In this example, we model and predict how many fish are caught by visitors to a state park.
Many groups of visitors catch zero fish, ... | pyro-pplREPO_NAMEnumpyroPATH_START.@numpyro_extracted@numpyro-master@examples@zero_inflated_poisson.py@.PATH_END.py |
{
"filename": "data_inspect_2458083.ipynb",
"repo_name": "HERA-Team/H1C_IDR3_Notebooks",
"repo_path": "H1C_IDR3_Notebooks-main/data_inspect/data_inspect_2458083.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_2458083.ipynb@.PATH_END.py |
{
"filename": "test_api01_echo.py",
"repo_name": "crossbario/crossbar",
"repo_path": "crossbar_extracted/crossbar-master/crossbar/network/test/test_api01_echo.py",
"type": "Python"
} | # coding=utf8
# XBR Network - Copyright (c) typedef int GmbH. Licensed under EUPLv1.2.
import six
import sys
import re
import binascii
import argparse
from pprint import pformat
import txaio
txaio.use_twisted()
from txaio import time_ns
from twisted.internet import reactor
from twisted.internet.error import Reactor... | crossbarioREPO_NAMEcrossbarPATH_START.@crossbar_extracted@crossbar-master@crossbar@network@test@test_api01_echo.py@.PATH_END.py |
{
"filename": "rundr7dr.py",
"repo_name": "rohinkumar/correlcalc",
"repo_path": "correlcalc_extracted/correlcalc-master/clusterresults/rundr7dr.py",
"type": "Python"
} | from correlcalc import *
bins = np.arange(0.002,0.062,0.002)
corrdr7flcdmls=tpcf('/usr3/vstr/yrohin/Downloads/DR7-Full.ascii',bins,randfile='/usr3/vstr/yrohin/Downloads/random-DR7-Full.ascii',estimator='ls',weights='eq')
| rohinkumarREPO_NAMEcorrelcalcPATH_START.@correlcalc_extracted@correlcalc-master@clusterresults@rundr7dr.py@.PATH_END.py |
{
"filename": "_color.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/funnel/marker/line/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(self, plotly_name="color", parent_name="funnel.marker.line", **kwargs):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@funnel@marker@line@_color.py@.PATH_END.py |
{
"filename": "_fgcolorsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/treemap/marker/pattern/_fgcolorsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="fgcolorsrc", parent_name="treemap.marker.pattern", **kwargs
):
super(FgcolorsrcValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@treemap@marker@pattern@_fgcolorsrc.py@.PATH_END.py |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.