metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "cpu_supported_ops.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/compiler/tf2xla/g3doc/cpu_supported_ops.md",
"type": "Markdown"
} | **Supported operators for device: XLA_CPU_JIT**
Operator | Type Constraint
------------------------------------- | ---------------
`Abs` | `T={double,float,int32,int64}`
`Acos` | `T={complex64,double,float,int32,int64}`
`Acosh`... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@compiler@tf2xla@g3doc@cpu_supported_ops.md@.PATH_END.py |
{
"filename": "datatypes.py",
"repo_name": "CMB-S4/spt3g_software",
"repo_path": "spt3g_software_extracted/spt3g_software-master/core/tests/datatypes.py",
"type": "Python"
} | #!/usr/bin/env python
from spt3g.core import G3Bool
import unittest
class TestDatatypes(unittest.TestCase):
def test_g3bool(self):
t = G3Bool(True)
f = G3Bool(False)
self.assertTrue(t and t.value)
self.assertFalse(f or f.value)
if __name__ == '__main__':
unittest.main()
| CMB-S4REPO_NAMEspt3g_softwarePATH_START.@spt3g_software_extracted@spt3g_software-master@core@tests@datatypes.py@.PATH_END.py |
{
"filename": "RSSMOSTools.py",
"repo_name": "mattyowl/RSSMOSPipeline",
"repo_path": "RSSMOSPipeline_extracted/RSSMOSPipeline-master/RSSMOSPipeline/RSSMOSTools.py",
"type": "Python"
} | """
Copyright 2014-2022 Matt Hilton
Copyright 2023 Matt Hilton, Melissa Morris
This file is part of RSSMOSPipeline.
RSSMOSPipeline 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 ... | mattyowlREPO_NAMERSSMOSPipelinePATH_START.@RSSMOSPipeline_extracted@RSSMOSPipeline-master@RSSMOSPipeline@RSSMOSTools.py@.PATH_END.py |
{
"filename": "ocr_identityparser.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/tools/edenai/ocr_identityparser.py",
"type": "Python"
} | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.tools import EdenAiParsingIDTool
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
DEPR... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@tools@edenai@ocr_identityparser.py@.PATH_END.py |
{
"filename": "test_subhalo_phase_space.py",
"repo_name": "astropy/halotools",
"repo_path": "halotools_extracted/halotools-master/halotools/empirical_models/phase_space_models/subhalo_based_models/tests/test_subhalo_phase_space.py",
"type": "Python"
} | """
"""
from __future__ import division, print_function, absolute_import, unicode_literals
import numpy as np
import pytest
from astropy.utils.misc import NumpyRNGContext
from astropy.table import Table
from ..subhalo_phase_space import SubhaloPhaseSpace
from .....sim_manager import FakeSim, CachedHaloCatalog
from .... | astropyREPO_NAMEhalotoolsPATH_START.@halotools_extracted@halotools-master@halotools@empirical_models@phase_space_models@subhalo_based_models@tests@test_subhalo_phase_space.py@.PATH_END.py |
{
"filename": "_automargin.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/xaxis/_automargin.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class AutomarginValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(self, plotly_name="automargin", parent_name="layout.xaxis", **kwargs):
super(AutomarginValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@xaxis@_automargin.py@.PATH_END.py |
{
"filename": "function_helpers.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/units/quantity_helper/function_helpers.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license. See LICENSE.rst except
# for parts explicitly labelled as being (largely) copies of numpy
# implementations; for those, see licenses/NUMPY_LICENSE.rst.
"""Helpers for overriding numpy functions.
We override numpy functions in `~astropy.units.Quantity.__array_function__`.
... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@units@quantity_helper@function_helpers.py@.PATH_END.py |
{
"filename": "fig_others_finals.ipynb",
"repo_name": "astrockragh/Mangrove",
"repo_path": "Mangrove_extracted/Mangrove-main/analysis/fig_others_finals.ipynb",
"type": "Jupyter Notebook"
} | ```python
import pickle, os, torch
import os.path as osp
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
from sklearn.metrics import r2_score
from mpl_toolkits.axes_grid1 import make_axes_locatable
```
```python
from matplotlib.ticker import NullFormatter
from scipy import stats
from matpl... | astrockraghREPO_NAMEMangrovePATH_START.@Mangrove_extracted@Mangrove-main@analysis@fig_others_finals.ipynb@.PATH_END.py |
{
"filename": "mergeResults.py",
"repo_name": "lsst/cp_verify",
"repo_path": "cp_verify_extracted/cp_verify-main/python/lsst/cp/verify/mergeResults.py",
"type": "Python"
} | # This file is part of cp_verify.
#
# Developed for the LSST Data Management System.
# This product includes software developed by the LSST Project
# (http://www.lsst.org).
# See the COPYRIGHT file at the top-level directory of this distribution
# for details of code ownership.
#
# This program is free software: you ca... | lsstREPO_NAMEcp_verifyPATH_START.@cp_verify_extracted@cp_verify-main@python@lsst@cp@verify@mergeResults.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "vlas-sokolov/pyspecnest",
"repo_path": "pyspecnest_extracted/pyspecnest-master/pyspecnest/tests/__init__.py",
"type": "Python"
} | from . import blackbox
from . import spec_model_tests
from . import run_tests
| vlas-sokolovREPO_NAMEpyspecnestPATH_START.@pyspecnest_extracted@pyspecnest-master@pyspecnest@tests@__init__.py@.PATH_END.py |
{
"filename": "base.py",
"repo_name": "toros-astro/corral",
"repo_path": "corral_extracted/corral-master/corral/cli/base.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2016-2017, Cabral, Juan; Sanchez, Bruno & Berois, Martín
# 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 sourc... | toros-astroREPO_NAMEcorralPATH_START.@corral_extracted@corral-master@corral@cli@base.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "nanograv/PINT",
"repo_path": "PINT_extracted/PINT-master/src/pint/data/runtime/README.md",
"type": "Markdown"
} | Observatories
=============
The observatory data are stored in `observatories.json`. See https://nanograv-pint.readthedocs.io/en/latest/explanation.html#observatories for details and usage.
Clock correction files
======================
The clock correction files are no longer stored within `PINT` but are accessed a... | nanogravREPO_NAMEPINTPATH_START.@PINT_extracted@PINT-master@src@pint@data@runtime@README.md@.PATH_END.py |
{
"filename": "qpower2.py",
"repo_name": "hpparvi/PyTransit",
"repo_path": "PyTransit_extracted/PyTransit-master/pytransit/models/qpower2.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# PyTransit: fast and easy exoplanet transit modelling in Python.
# Copyright (C) 2010-2019 Hannu Parviainen
#
# 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, eithe... | hpparviREPO_NAMEPyTransitPATH_START.@PyTransit_extracted@PyTransit-master@pytransit@models@qpower2.py@.PATH_END.py |
{
"filename": "RotatePol.py",
"repo_name": "wmpg/Supracenter",
"repo_path": "Supracenter_extracted/Supracenter-master/supra/GUI/Dialogs/RotatePol.py",
"type": "Python"
} | import os
import numpy as np
import pickle
from datetime import datetime, timedelta
import matplotlib.pyplot as plt
from scipy.interpolate import interp1d
from functools import partial
from obspy.core.utcdatetime import UTCDateTime
from obspy.signal.rotate import rotate_ne_rt
from supra.Stations.ProcessStation import ... | wmpgREPO_NAMESupracenterPATH_START.@Supracenter_extracted@Supracenter-master@supra@GUI@Dialogs@RotatePol.py@.PATH_END.py |
{
"filename": "_tickvals.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/bar/marker/colorbar/_tickvals.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self, plotly_name="tickvals", parent_name="bar.marker.colorbar", **kwargs
):
super(TickvalsValidator, self).__init__(
plotly_name=plotly_name,
par... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@bar@marker@colorbar@_tickvals.py@.PATH_END.py |
{
"filename": "_span.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/violin/_span.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SpanValidator(_plotly_utils.basevalidators.InfoArrayValidator):
def __init__(self, plotly_name="span", parent_name="violin", **kwargs):
super(SpanValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@violin@_span.py@.PATH_END.py |
{
"filename": "Properties.py",
"repo_name": "mmicromegas/ransX",
"repo_path": "ransX_extracted/ransX-master/UTILS/RANSX/Properties.py",
"type": "Python"
} | import numpy as np
import sys
from UTILS.Calculus import Calculus
from UTILS.SetAxisLimit import SetAxisLimit
from UTILS.Errors import Errors
from UTILS.Tools import Tools
from EQUATIONS.TurbulentKineticEnergyCalculation import TurbulentKineticEnergyCalculation
from EQUATIONS.ContinuityEquationWithMassFluxCalculation ... | mmicromegasREPO_NAMEransXPATH_START.@ransX_extracted@ransX-master@UTILS@RANSX@Properties.py@.PATH_END.py |
{
"filename": "prepare_arrays.py",
"repo_name": "daniel-muthukrishna/astrorapid",
"repo_path": "astrorapid_extracted/astrorapid-master/astrorapid/prepare_arrays.py",
"type": "Python"
} | import numpy as np
from scipy.interpolate import interp1d
from astrorapid import helpers
# fix random seed for reproducibility
np.random.seed(42)
class PrepareArrays(object):
def __init__(self, passbands=('g', 'r'), contextual_info=('redshift',), nobs=50, mintime=-70, maxtime=80,
timestep=3.0):... | daniel-muthukrishnaREPO_NAMEastrorapidPATH_START.@astrorapid_extracted@astrorapid-master@astrorapid@prepare_arrays.py@.PATH_END.py |
{
"filename": "test_tensorflow_hub.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/tests/integration_tests/embeddings/test_tensorflow_hub.py",
"type": "Python"
} | """Test TensorflowHub embeddings."""
from langchain_community.embeddings import TensorflowHubEmbeddings
def test_tensorflowhub_embedding_documents() -> None:
"""Test tensorflowhub embeddings."""
documents = ["foo bar"]
embedding = TensorflowHubEmbeddings()
output = embedding.embed_documents(documents... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@tests@integration_tests@embeddings@test_tensorflow_hub.py@.PATH_END.py |
{
"filename": "ionHeIII.py",
"repo_name": "annehutter/grid-model",
"repo_path": "grid-model_extracted/grid-model-master/analysis_tools/ionHeIII.py",
"type": "Python"
} | import sys
import os
import numpy as np
from numpy.random import random
import matplotlib as m
m.use('Agg')
import matplotlib.pyplot as plt
from matplotlib.colors import LogNorm
import matplotlib as m
from grid import *
import read_parameterfile as rp
import read_fields as rf
def round_down(num):
if num < 0:
... | annehutterREPO_NAMEgrid-modelPATH_START.@grid-model_extracted@grid-model-master@analysis_tools@ionHeIII.py@.PATH_END.py |
{
"filename": "cluster_hadronic_emission_kafexhiu2014.py",
"repo_name": "remi-adam/minot",
"repo_path": "minot_extracted/minot-master/minot/ClusterTools/cluster_hadronic_emission_kafexhiu2014.py",
"type": "Python"
} | """
This file contains the PPmodel class. It aims at computing
the gamma, electron and neutrinos spectrum for hadronic interactions between
cosmic rays and ICM. It is based on Kafexhiu et al. 2014, and compute spectra
given as dN/dEdVdt in GeV-1 cm-3 s-1.
It is inspired by the Naima package.
"""
#==================... | remi-adamREPO_NAMEminotPATH_START.@minot_extracted@minot-master@minot@ClusterTools@cluster_hadronic_emission_kafexhiu2014.py@.PATH_END.py |
{
"filename": "lsoda.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/integrate/_ivp/lsoda.py",
"type": "Python"
} | import numpy as np
from scipy.integrate import ode
from .common import validate_tol, validate_first_step, warn_extraneous
from .base import OdeSolver, DenseOutput
class LSODA(OdeSolver):
"""Adams/BDF method with automatic stiffness detection and switching.
This is a wrapper to the Fortran solver from ODEPACK... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@integrate@_ivp@lsoda.py@.PATH_END.py |
{
"filename": "_variant.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/title/font/_variant.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VariantValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="variant",
parent_name="scatter3d.marker.colorbar.title.font",
**kwargs,
):
super(VariantValidator, self).__init__(
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatter3d@marker@colorbar@title@font@_variant.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/densitymapbox/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@densitymapbox@stream@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "Astroua/AstroStat_Results",
"repo_path": "AstroStat_Results_extracted/AstroStat_Results-master/jasper/__init__.py",
"type": "Python"
} | AstrouaREPO_NAMEAstroStat_ResultsPATH_START.@AstroStat_Results_extracted@AstroStat_Results-master@jasper@__init__.py@.PATH_END.py | |
{
"filename": "__init__.py",
"repo_name": "OpenAccess-AI-Collective/axolotl",
"repo_path": "axolotl_extracted/axolotl-main/src/axolotl/__init__.py",
"type": "Python"
} | """Axolotl - Train and fine-tune large language models"""
__version__ = "0.6.0"
| OpenAccess-AI-CollectiveREPO_NAMEaxolotlPATH_START.@axolotl_extracted@axolotl-main@src@axolotl@__init__.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "nanograv/holodeck",
"repo_path": "holodeck_extracted/holodeck-main/scripts/README.md",
"type": "Markdown"
} | # `holodeck` Scripts
This folder contains scripts for the holodeck package, primarily for generating populations of binaries over ranges of parameters, libraries of GWB spectra, and executing unit-tests.
## Contents
* `convert_notebook_tests.py`
* Converts target jupyter notebooks into python files which can then ... | nanogravREPO_NAMEholodeckPATH_START.@holodeck_extracted@holodeck-main@scripts@README.md@.PATH_END.py |
{
"filename": "pmctool.py",
"repo_name": "cosmostat/pmclib",
"repo_path": "pmclib_extracted/pmclib-master/python/pmctool.py",
"type": "Python"
} | import numpy as nm
import numpy.ma as ma
import numpy.random as ra
import numpy.linalg as la
## first building histograms
def ctr_level(his,lvl,infinite = False):
mis=his.flat[:]*1.
try:
msk=(mis.mask==False)
mis=nm.array(nm.compress(msk,mis))
except Exception,e:
pass
mis.sort()
cis=nm.cumsum(m... | cosmostatREPO_NAMEpmclibPATH_START.@pmclib_extracted@pmclib-master@python@pmctool.py@.PATH_END.py |
{
"filename": "forest_inference_demo.ipynb",
"repo_name": "rapidsai/cuml",
"repo_path": "cuml_extracted/cuml-main/notebooks/forest_inference_demo.ipynb",
"type": "Jupyter Notebook"
} | # Forest Inference Library (FIL)
The forest inference library is used to load saved forest models of xgboost, lightgbm and perform inference on them. It can be used to perform both classification and regression. In this notebook, we'll begin by fitting a model with XGBoost and saving it. We'll then load the saved model... | rapidsaiREPO_NAMEcumlPATH_START.@cuml_extracted@cuml-main@notebooks@forest_inference_demo.ipynb@.PATH_END.py |
{
"filename": "command.py",
"repo_name": "glue-viz/glue",
"repo_path": "glue_extracted/glue-main/glue/core/command.py",
"type": "Python"
} | import weakref
import logging
from abc import ABCMeta, abstractmethod
from glue.utils import CallbackMixin
from glue.core.data_factories import load_data
from glue.core.edit_subset_mode import ReplaceMode
MAX_UNDO = 50
"""
The classes in this module allow user actions to be stored as commands,
which can be undone/red... | glue-vizREPO_NAMEgluePATH_START.@glue_extracted@glue-main@glue@core@command.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/statsmodels/distributions/copula/__init__.py",
"type": "Python"
} | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@statsmodels@distributions@copula@__init__.py@.PATH_END.py | |
{
"filename": "acspyexmplMountCallback.py",
"repo_name": "ACS-Community/ACS",
"repo_path": "ACS_extracted/ACS-master/LGPL/CommonSoftware/acspyexmpl/src/acspyexmplMountCallback.py",
"type": "Python"
} | #!/usr/bin/env python
#*******************************************************************************
# ALMA - Atacama Large Millimiter Array
# (c) Associated Universities Inc., 2002
# (c) European Southern Observatory, 2002
# Copyright by ESO (in the framework of the ALMA collaboration)
# and Cosylab 2002, All right... | ACS-CommunityREPO_NAMEACSPATH_START.@ACS_extracted@ACS-master@LGPL@CommonSoftware@acspyexmpl@src@acspyexmplMountCallback.py@.PATH_END.py |
{
"filename": "bnb.py",
"repo_name": "huggingface/peft",
"repo_path": "peft_extracted/peft-main/src/peft/tuners/adalora/bnb.py",
"type": "Python"
} | # Copyright 2023-present the HuggingFace Inc. team.
#
# 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... | huggingfaceREPO_NAMEpeftPATH_START.@peft_extracted@peft-main@src@peft@tuners@adalora@bnb.py@.PATH_END.py |
{
"filename": "StateDerivatives.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/PYB11/DataBase/StateDerivatives.py",
"type": "Python"
} | #-------------------------------------------------------------------------------
# StateDerivatives
#-------------------------------------------------------------------------------
from PYB11Generator import *
from StateBase import *
@PYB11template("Dimension")
class StateDerivatives(StateBase):
PYB11typedefs = "... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@PYB11@DataBase@StateDerivatives.py@.PATH_END.py |
{
"filename": "test_linfit.py",
"repo_name": "light-curve/light-curve-python",
"repo_path": "light-curve-python_extracted/light-curve-python-master/light-curve/tests/light_curve_py/features/test_linfit.py",
"type": "Python"
} | import numpy as np
from numpy.testing import assert_allclose
from scipy.optimize import curve_fit
from light_curve.light_curve_py import LinearFit
def test_linfit():
def f(x, slope, c):
return x * slope + c
t = np.array([2.0, 4.0, 7.0, 10.0, 15.0, 28.0])
m = np.array([1.0, 3.0, 6.0, 10.0, 14.0, ... | light-curveREPO_NAMElight-curve-pythonPATH_START.@light-curve-python_extracted@light-curve-python-master@light-curve@tests@light_curve_py@features@test_linfit.py@.PATH_END.py |
{
"filename": "eventstats.py",
"repo_name": "nanograv/PINT",
"repo_path": "PINT_extracted/PINT-master/src/pint/eventstats.py",
"type": "Python"
} | """Various routines for calculating pulsation test statistics on event data and helper functions.
author: M. Kerr <matthew.kerr@gmail.com>
"""
import numpy as np
from numpy import exp, arange, log
from scipy.special import erfc, gamma
from scipy.stats import chi2, norm
__all__ = [
"sig2sigma",
"sigma2sig",
... | nanogravREPO_NAMEPINTPATH_START.@PINT_extracted@PINT-master@src@pint@eventstats.py@.PATH_END.py |
{
"filename": "config_choose_test-checkpoint.ipynb",
"repo_name": "remingtonsexton/BADASS3",
"repo_path": "BADASS3_extracted/BADASS3-master/example_notebooks/.ipynb_checkpoints/config_choose_test-checkpoint.ipynb",
"type": "Jupyter Notebook"
} | ```python
#!/usr/bin/env python
# %matplotlib notebook
%matplotlib inline
# Essential Scientific Libraries
import numpy as np
import pandas as pd
pd.set_option('display.max_columns', None)
# pd.set_option('display.max_rows', None) # Beware!
# Plotting Libraries
import matplotlib.pyplot as plt
plt.rcParams['text.use... | remingtonsextonREPO_NAMEBADASS3PATH_START.@BADASS3_extracted@BADASS3-master@example_notebooks@.ipynb_checkpoints@config_choose_test-checkpoint.ipynb@.PATH_END.py |
{
"filename": "test_clustering.py",
"repo_name": "JohannesBuchner/UltraNest",
"repo_path": "UltraNest_extracted/UltraNest-master/tests/test_clustering.py",
"type": "Python"
} | from __future__ import print_function, division
import numpy as np
import os
import matplotlib.pyplot as plt
from ultranest.utils import create_logger
from ultranest import ReactiveNestedSampler
from ultranest.mlfriends import MLFriends, AffineLayer, LocalAffineLayer
here = os.path.dirname(__file__)
def test_cluster... | JohannesBuchnerREPO_NAMEUltraNestPATH_START.@UltraNest_extracted@UltraNest-master@tests@test_clustering.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/io/parser/__init__.py",
"type": "Python"
} | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@io@parser@__init__.py@.PATH_END.py | |
{
"filename": "setup_package.py",
"repo_name": "tardis-sn/tardis",
"repo_path": "tardis_extracted/tardis-main/tardis/simulation/setup_package.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from setuptools import Extension
from astropy_helpers.distutils_helpers import get_distutils_option
import numpy as np
def get_package_data():
return {"tardis.simulation.tests": ["data/*.h5"]}
| tardis-snREPO_NAMEtardisPATH_START.@tardis_extracted@tardis-main@tardis@simulation@setup_package.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scikit-learn/py2/sklearn/preprocessing/__init__.py",
"type": "Python"
} | """
The :mod:`sklearn.preprocessing` module includes scaling, centering,
normalization, binarization and imputation methods.
"""
from ._function_transformer import FunctionTransformer
from .data import Binarizer
from .data import KernelCenterer
from .data import MinMaxScaler
from .data import MaxAbsScaler
from .data ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scikit-learn@py2@sklearn@preprocessing@__init__.py@.PATH_END.py |
{
"filename": "mock_sfh_data.ipynb",
"repo_name": "changhoonhahn/provabgs",
"repo_path": "provabgs_extracted/provabgs-main/nb/prior_correct/mock_sfh_data.ipynb",
"type": "Jupyter Notebook"
} | # Mock SFH data
In this notebook, I will generate mock data that I will use to demonstrate the prior correction method. The mock data will be generated using FSPS with $M_*=10^{10}M_\odot$, $Z = 0.02$, and with the following different SFHs:
1. constant
2. falling
3. rising
4. burst
5. quench
```python
import os
impo... | changhoonhahnREPO_NAMEprovabgsPATH_START.@provabgs_extracted@provabgs-main@nb@prior_correct@mock_sfh_data.ipynb@.PATH_END.py |
{
"filename": "rdpsf.py",
"repo_name": "djones1040/PythonPhot",
"repo_path": "PythonPhot_extracted/PythonPhot-master/PythonPhot/rdpsf.py",
"type": "Python"
} | #!/usr.bin/env python
#D. Jones - 1/13/14
"""This code is from the IDL Astronomy Users Library"""
import numpy as np
from . import dao_value
try:
import astropy.io.fits as pyfits
except ImportError:
import pyfits
def rdpsf(psfname):
"""Read the FITS file created by GETPSF in the DAOPHOT sequence
Comb... | djones1040REPO_NAMEPythonPhotPATH_START.@PythonPhot_extracted@PythonPhot-master@PythonPhot@rdpsf.py@.PATH_END.py |
{
"filename": "todcor.py",
"repo_name": "mdwarfgeek/tres-tools",
"repo_path": "tres-tools_extracted/tres-tools-master/todcor.py",
"type": "Python"
} | import math
import numpy
import lfa
from quad2d import *
class todcor:
def __init__(self, frv,
tmpla_wave, tmpla_flux,
tmplb_wave, tmplb_flux,
targ_wave, targ_flux,
vsinia, vsinib,
alpha,
u1, u2):
# Decide wavelength sam... | mdwarfgeekREPO_NAMEtres-toolsPATH_START.@tres-tools_extracted@tres-tools-master@todcor.py@.PATH_END.py |
{
"filename": "recurrent.py",
"repo_name": "google/flax",
"repo_path": "flax_extracted/flax-main/flax/nnx/nn/recurrent.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@nnx@nn@recurrent.py@.PATH_END.py |
{
"filename": "_xanchor.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/cone/colorbar/_xanchor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="xanchor", parent_name="cone.colorbar", **kwargs):
super(XanchorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@cone@colorbar@_xanchor.py@.PATH_END.py |
{
"filename": "getlimits.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/numpy/core/getlimits.py",
"type": "Python"
} | """Machine limits for Float32 and Float64 and (long double) if available...
"""
from __future__ import division, absolute_import, print_function
__all__ = ['finfo', 'iinfo']
import warnings
from .machar import MachAr
from . import numeric
from . import numerictypes as ntypes
from .numeric import array, inf
from .um... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@numpy@core@getlimits.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "hablabx/rfast",
"repo_path": "rfast_extracted/rfast-main/README.md",
"type": "Markdown"
} | # rfast
A fast tool for planetary spectral forward and inverse modeling.
The readme_quickstart provides a step-by-step example of how to
generate a simulated spectrum, add noise, perform inverse modeling,
and plot results.
Software provided here expects a co-located folder named
"hires_opacities", which can be dow... | hablabxREPO_NAMErfastPATH_START.@rfast_extracted@rfast-main@README.md@.PATH_END.py |
{
"filename": "_showticksuffix.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/heatmap/colorbar/_showticksuffix.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="showticksuffix", parent_name="heatmap.colorbar", **kwargs
):
super(ShowticksuffixValidator, self).__init__(
plotly_name=plotly_name,... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@heatmap@colorbar@_showticksuffix.py@.PATH_END.py |
{
"filename": "setup_model.py",
"repo_name": "dullemond/radmc3d-2.0",
"repo_path": "radmc3d-2.0_extracted/radmc3d-2.0-master/python/radmc3dPy/python_examples/run_sph_regular_grid/setup_model.py",
"type": "Python"
} | import sphtool
import numpy as np
import radmc3dPy.natconst as nc
import matplotlib.pyplot as plt
import radmc3dPy
import os
os.system('cp -v ../datafiles/dustkappa_silicate.inp .')
# Filename of the SPH output
sph_fname = 'snap_00000.ascii'
# SPH unit length scale
unit_length = 5.0*nc.au
# SPH unit mass scale
unit_m... | dullemondREPO_NAMEradmc3d-2.0PATH_START.@radmc3d-2.0_extracted@radmc3d-2.0-master@python@radmc3dPy@python_examples@run_sph_regular_grid@setup_model.py@.PATH_END.py |
{
"filename": "comp_pymiescatt.ipynb",
"repo_name": "HajimeKawahara/exojax",
"repo_path": "exojax_extracted/exojax-master/documents/userguide/comp_pymiescatt.ipynb",
"type": "Jupyter Notebook"
} | # Comparison the AM geometric opacity with PieMieScatt
We import `pdb` with `MgSiO3` to use the refractive index.
```python
from exojax.spec.pardb import PdbCloud
miedir = "/home/kawahara/exojax/documents/tutorials/.database/particulates/virga"
#miedir = "/home/exoplanet01/exojax/documents/tutorials/.database/parti... | HajimeKawaharaREPO_NAMEexojaxPATH_START.@exojax_extracted@exojax-master@documents@userguide@comp_pymiescatt.ipynb@.PATH_END.py |
{
"filename": "phoenix_extraction.py",
"repo_name": "YinanZhao21/SOAP_GPU",
"repo_path": "SOAP_GPU_extracted/SOAP_GPU-main/SOAP_code/phoenix_extraction.py",
"type": "Python"
} | import numpy as np
import matplotlib.pyplot as plt
import bz2
import pandas as pd
from scipy.interpolate import interp1d
import configparser
config = configparser.ConfigParser()
import os
from pathlib import Path
from astropy.io import fits
def vac2air(wavelength):
'''
# Transform wavelength in vacuum to air
... | YinanZhao21REPO_NAMESOAP_GPUPATH_START.@SOAP_GPU_extracted@SOAP_GPU-main@SOAP_code@phoenix_extraction.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "dfm/exoplanet",
"repo_path": "exoplanet_extracted/exoplanet-main/src/exoplanet/orbits/__init__.py",
"type": "Python"
} | __all__ = [
"KeplerianOrbit",
"get_true_anomaly",
"TTVOrbit",
"SimpleTransitOrbit",
"duration_to_eccentricity",
]
from exoplanet.orbits.dur_to_ecc import duration_to_eccentricity
from exoplanet.orbits.keplerian import KeplerianOrbit, get_true_anomaly
from exoplanet.orbits.simple import SimpleTransi... | dfmREPO_NAMEexoplanetPATH_START.@exoplanet_extracted@exoplanet-main@src@exoplanet@orbits@__init__.py@.PATH_END.py |
{
"filename": "acspyTestUnitACSHandler.py",
"repo_name": "ACS-Community/ACS",
"repo_path": "ACS_extracted/ACS-master/LGPL/CommonSoftware/acspycommon/test/acspyTestUnitACSHandler.py",
"type": "Python"
} | #! /usr/bin/env python
#*******************************************************************************
# ALMA - Atacama Large Millimiter Array
# (c) National Research Council of Canada, 2008
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public... | ACS-CommunityREPO_NAMEACSPATH_START.@ACS_extracted@ACS-master@LGPL@CommonSoftware@acspycommon@test@acspyTestUnitACSHandler.py@.PATH_END.py |
{
"filename": "time_exponential.py",
"repo_name": "GalSim-developers/GalSim",
"repo_path": "GalSim_extracted/GalSim-main/devel/external/time_photon_shooting/time_exponential.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@time_photon_shooting@time_exponential.py@.PATH_END.py |
{
"filename": "fake.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/chat_models/fake.py",
"type": "Python"
} | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.chat_models.fake import (
FakeListChatModel,
FakeMessagesListChatModel,
)
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raisi... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@chat_models@fake.py@.PATH_END.py |
{
"filename": "func.py",
"repo_name": "chenjj2/forecaster",
"repo_path": "forecaster_extracted/forecaster-master/func.py",
"type": "Python"
} | import numpy as np
from scipy.stats import norm, truncnorm
### fix the number of different populations
n_pop = 4
def indicate(M, trans, i):
'''
indicate which M belongs to population i given transition parameter
'''
ts = np.insert(np.insert(trans, n_pop-1, np.inf), 0, -np.inf)
ind = (M>=ts[i]) & (M<ts[i+1])
re... | chenjj2REPO_NAMEforecasterPATH_START.@forecaster_extracted@forecaster-master@func.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "carronj/plancklens",
"repo_path": "plancklens_extracted/plancklens-master/tests/__init__.py",
"type": "Python"
} | carronjREPO_NAMEplancklensPATH_START.@plancklens_extracted@plancklens-master@tests@__init__.py@.PATH_END.py | |
{
"filename": "_cmin.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatter/marker/_cmin.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class CminValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="cmin", parent_name="scatter.marker", **kwargs):
super(CminValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatter@marker@_cmin.py@.PATH_END.py |
{
"filename": "annz_evalWrapper.py",
"repo_name": "IftachSadeh/ANNZ",
"repo_path": "ANNZ_extracted/ANNZ-master/examples/scripts/annz_evalWrapper.py",
"type": "Python"
} | # --------------------------------------------------------------------------------------------------
# simple example, illustrating how the evaluation python ANNZ should be setup.
# instead of providing an input ascii catalogue, it can be used for
# pipeline integration of ANNZ.
# the generation/training/optimization(v... | IftachSadehREPO_NAMEANNZPATH_START.@ANNZ_extracted@ANNZ-master@examples@scripts@annz_evalWrapper.py@.PATH_END.py |
{
"filename": "test_parsers.py",
"repo_name": "spacetelescope/jdaviz",
"repo_path": "jdaviz_extracted/jdaviz-main/jdaviz/configs/cubeviz/plugins/tests/test_parsers.py",
"type": "Python"
} | import numpy as np
import pytest
from astropy import units as u
from astropy.wcs import WCS
from specutils import Spectrum1D, SpectralRegion
from glue_astronomy.translators.spectrum1d import PaddedSpectrumWCS
from numpy.testing import assert_allclose, assert_array_equal
from jdaviz.core.custom_units_and_equivs import ... | spacetelescopeREPO_NAMEjdavizPATH_START.@jdaviz_extracted@jdaviz-main@jdaviz@configs@cubeviz@plugins@tests@test_parsers.py@.PATH_END.py |
{
"filename": "test_decon.py",
"repo_name": "RobertJaro/InstrumentToInstrument",
"repo_path": "InstrumentToInstrument_extracted/InstrumentToInstrument-master/itipy/evaluation/test_decon.py",
"type": "Python"
} | import matplotlib.pyplot as plt
import numpy as np
from skimage import restoration
from sunpy.map import Map
coords = (np.stack(np.mgrid[:11, :11], 0) - 5) * 0.6
r = np.sqrt(coords[0] ** 2 + coords[1] ** 2)
phi = 2 * np.pi - np.arctan2(coords[0], coords[1])
c_w = [0.641, 0.211, 0.066, 0.00467, 0.035]
c_sig = [0.47, 1.... | RobertJaroREPO_NAMEInstrumentToInstrumentPATH_START.@InstrumentToInstrument_extracted@InstrumentToInstrument-master@itipy@evaluation@test_decon.py@.PATH_END.py |
{
"filename": "train-shapes-hexagonal.ipynb",
"repo_name": "HITS-AIN/PINK",
"repo_path": "PINK_extracted/PINK-master/jupyter/train-shapes-hexagonal.ipynb",
"type": "Jupyter Notebook"
} | ```python
import numpy as np
images = np.load("data/shapes/boxes.npy").astype(np.float32)
images = np.append(images, np.load("data/shapes/circles.npy").astype(np.float32), axis=0)
images = np.append(images, np.load("data/shapes/crosses.npy").astype(np.float32), axis=0)
images = np.append(images, np.load("data/shapes/t... | HITS-AINREPO_NAMEPINKPATH_START.@PINK_extracted@PINK-master@jupyter@train-shapes-hexagonal.ipynb@.PATH_END.py |
{
"filename": "tpcf.py",
"repo_name": "bccp/nbodykit",
"repo_path": "nbodykit_extracted/nbodykit-master/nbodykit/algorithms/paircount_tpcf/tpcf.py",
"type": "Python"
} | from ..pair_counters import SimulationBoxPairCount, SurveyDataPairCount
from .estimators import LandySzalayEstimator, NaturalEstimator, WedgeBinnedStatistic
from nbodykit import CurrentMPIComm
from nbodykit.binned_statistic import BinnedStatistic
import numpy
import warnings
import logging
class BasePairCount2PCF(obj... | bccpREPO_NAMEnbodykitPATH_START.@nbodykit_extracted@nbodykit-master@nbodykit@algorithms@paircount_tpcf@tpcf.py@.PATH_END.py |
{
"filename": "7-PQFastScan.py",
"repo_name": "facebookresearch/faiss",
"repo_path": "faiss_extracted/faiss-main/tutorial/python/7-PQFastScan.py",
"type": "Python"
} | # Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import faiss
import numpy as np
d = 64 # dimension
nb = 100000 # database size
nq = 10000 ... | facebookresearchREPO_NAMEfaissPATH_START.@faiss_extracted@faiss-main@tutorial@python@7-PQFastScan.py@.PATH_END.py |
{
"filename": "util.py",
"repo_name": "alibaba/TinyNeuralNetwork",
"repo_path": "TinyNeuralNetwork_extracted/TinyNeuralNetwork-main/tinynn/llm_quant/util.py",
"type": "Python"
} | import ctypes
import os
import platform
import sys
import importlib
import torch.nn as nn
def _init_patch_easyquant():
pkg_root = os.path.dirname(
os.path.realpath(importlib.machinery.PathFinder().find_module("easyquant").get_filename())
)
libs_dir = os.path.abspath(pkg_root)
is_conda_cpython... | alibabaREPO_NAMETinyNeuralNetworkPATH_START.@TinyNeuralNetwork_extracted@TinyNeuralNetwork-main@tinynn@llm_quant@util.py@.PATH_END.py |
{
"filename": "orbit_plots.py",
"repo_name": "California-Planet-Search/radvel",
"repo_path": "radvel_extracted/radvel-master/radvel/plot/orbit_plots.py",
"type": "Python"
} | import numpy as np
import pandas as pd
from matplotlib import rcParams, gridspec
from matplotlib import pyplot as pl
from matplotlib.ticker import MaxNLocator
from astropy.time import Time
import copy
import radvel
from radvel import plot
from radvel.plot import mcmc_plots
from radvel.utils import t_to_phase, fastbin,... | California-Planet-SearchREPO_NAMEradvelPATH_START.@radvel_extracted@radvel-master@radvel@plot@orbit_plots.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "davidharvey1986/pyRRG",
"repo_path": "pyRRG_extracted/pyRRG-master/unittests/bugFixPyRRG/lib/python3.7/site-packages/pip/_vendor/toml/__init__.py",
"type": "Python"
} | """Python module which parses and emits TOML.
Released under the MIT license.
"""
from pip._vendor.toml import encoder
from pip._vendor.toml import decoder
__version__ = "0.10.0"
_spec_ = "0.5.0"
load = decoder.load
loads = decoder.loads
TomlDecoder = decoder.TomlDecoder
TomlDecodeError = decoder.TomlDecodeError
d... | davidharvey1986REPO_NAMEpyRRGPATH_START.@pyRRG_extracted@pyRRG-master@unittests@bugFixPyRRG@lib@python3.7@site-packages@pip@_vendor@toml@__init__.py@.PATH_END.py |
{
"filename": "johnsnowlabs.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/embeddings/johnsnowlabs.py",
"type": "Python"
} | import os
import sys
from typing import Any, List
from langchain_core.embeddings import Embeddings
from pydantic import BaseModel, ConfigDict
class JohnSnowLabsEmbeddings(BaseModel, Embeddings):
"""JohnSnowLabs embedding models
To use, you should have the ``johnsnowlabs`` python package installed.
Examp... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@embeddings@johnsnowlabs.py@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/densitymapbox/colorbar/title/_font.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Font(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "densitymapbox.colorbar.title"
_path_str = "densitymapbox.colorbar.title.font"
_valid_props = {... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@densitymapbox@colorbar@title@_font.py@.PATH_END.py |
{
"filename": "haar.py",
"repo_name": "pyro-ppl/pyro",
"repo_path": "pyro_extracted/pyro-master/pyro/distributions/transforms/haar.py",
"type": "Python"
} | # Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
from torch.distributions.transforms import Transform
from pyro.ops.tensor_utils import haar_transform, inverse_haar_transform
from .. import constraints
class HaarTransform(Transform):
"""
Discrete Haar transform.
This... | pyro-pplREPO_NAMEpyroPATH_START.@pyro_extracted@pyro-master@pyro@distributions@transforms@haar.py@.PATH_END.py |
{
"filename": "setup_package.py",
"repo_name": "radio-astro-tools/pvextractor",
"repo_path": "pvextractor_extracted/pvextractor-main/pvextractor/tests/setup_package.py",
"type": "Python"
} | def get_package_data():
return {
_ASTROPY_PACKAGE_NAME_ + '.tests': ['coveragerc', 'data/*.reg', 'data/*.hdr']
}
| radio-astro-toolsREPO_NAMEpvextractorPATH_START.@pvextractor_extracted@pvextractor-main@pvextractor@tests@setup_package.py@.PATH_END.py |
{
"filename": "plot_energy_performance.py",
"repo_name": "seinecke/aict-tools",
"repo_path": "aict-tools_extracted/aict-tools-master/aict_tools/scripts/plot_energy_performance.py",
"type": "Python"
} | import click
import logging
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
from sklearn.externals import joblib
from ..configuration import AICTConfig
import fact.io
from ..plotting import (
plot_regressor_confusion,
plot_bias_resolution,
plot_bias,
plot_resolution... | seineckeREPO_NAMEaict-toolsPATH_START.@aict-tools_extracted@aict-tools-master@aict_tools@scripts@plot_energy_performance.py@.PATH_END.py |
{
"filename": "_showexponent.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatterpolar/marker/colorbar/_showexponent.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="showexponent",
parent_name="scatterpolar.marker.colorbar",
**kwargs
):
super(ShowexponentValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatterpolar@marker@colorbar@_showexponent.py@.PATH_END.py |
{
"filename": "_uid.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/choropleth/_uid.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class UidValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="uid", parent_name="choropleth", **kwargs):
super(UidValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_ty... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@choropleth@_uid.py@.PATH_END.py |
{
"filename": "test_populations.py",
"repo_name": "grburgess/popsynth",
"repo_path": "popsynth_extracted/popsynth-master/popsynth/test/test_populations.py",
"type": "Python"
} | import copy
import os
import matplotlib.pyplot as plt
import numpy as np
import pytest
import popsynth
from popsynth import update_logging_level
from popsynth.utils.cosmology import cosmology
update_logging_level("DEBUG")
class DemoSampler(popsynth.AuxiliarySampler):
_auxiliary_sampler_name = "DemoSampler"
... | grburgessREPO_NAMEpopsynthPATH_START.@popsynth_extracted@popsynth-master@popsynth@test@test_populations.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/geminidr/ghost/utils/__init__.py",
"type": "Python"
} | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@geminidr@ghost@utils@__init__.py@.PATH_END.py | |
{
"filename": "interp.py",
"repo_name": "HERA-Team/aipy",
"repo_path": "aipy_extracted/aipy-main/aipy/interp.py",
"type": "Python"
} | """
A pure-python, spline-like implementation of 1D interpolation. Uses
an FIR filter (spline) to interpolate, and a polynomial to extrapolate
boundaries.
Author: Aaron Parsons
Date: 12/12/07
Revisions:
"""
from __future__ import print_function, division, absolute_import
import numpy as np
__all__ = ['interpolate'... | HERA-TeamREPO_NAMEaipyPATH_START.@aipy_extracted@aipy-main@aipy@interp.py@.PATH_END.py |
{
"filename": "_hoverlabel.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/mesh3d/_hoverlabel.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="hoverlabel", parent_name="mesh3d", **kwargs):
super(HoverlabelValidator, 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@mesh3d@_hoverlabel.py@.PATH_END.py |
{
"filename": "multi_patch_plot.py",
"repo_name": "sibirrer/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/lenstronomy/Plots/multi_patch_plot.py",
"type": "Python"
} | import copy
from lenstronomy.Analysis.multi_patch_reconstruction import MultiPatchReconstruction
from lenstronomy.Plots import plot_util
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.axes_grid1 import make_axes_locatable
class MultiPatchPlot(MultiPatchReconstruction):
"""This class illust... | sibirrerREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@lenstronomy@Plots@multi_patch_plot.py@.PATH_END.py |
{
"filename": "array_ops.py",
"repo_name": "LouisDesdoigts/dLux",
"repo_path": "dLux_extracted/dLux-main/src/dLux/utils/array_ops.py",
"type": "Python"
} | import jax.numpy as np
from jax import Array
__all__ = [
"pad_to",
"crop_to",
"resize",
"downsample",
]
# TODO: Add convolve?
def pad_to(array: Array, npixels: int) -> Array:
"""
Paraxially zero-pads the input array to the shape (npixels, npixels). Due to the
paraxial requirement, the in... | LouisDesdoigtsREPO_NAMEdLuxPATH_START.@dLux_extracted@dLux-main@src@dLux@utils@array_ops.py@.PATH_END.py |
{
"filename": "parser.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/parso/py2/parso/parser.py",
"type": "Python"
} | # Copyright 2004-2005 Elemental Security, Inc. All Rights Reserved.
# Licensed to PSF under a Contributor Agreement.
# Modifications:
# Copyright David Halter and Contributors
# Modifications are dual-licensed: MIT and PSF.
# 99% of the code is different from pgen2, now.
"""
The ``Parser`` tries to convert the availa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@parso@py2@parso@parser.py@.PATH_END.py |
{
"filename": "copy_injection_recovery.py",
"repo_name": "ThibeauWouters/TurboPE-BNS",
"repo_path": "TurboPE-BNS_extracted/TurboPE-BNS-main/injections/outdir_TF2/injection_48/copy_injection_recovery.py",
"type": "Python"
} | import os
os.environ['CUDA_VISIBLE_DEVICES'] = "3"
os.environ["XLA_PYTHON_CLIENT_MEM_FRACTION"] = "0.25"
import numpy as np
import argparse
# The following is needed on CIT cluster to avoid an obscure Python error
import psutil
p = psutil.Process()
p.cpu_affinity([0])
# Regular imports
import argparse
import copy
impo... | ThibeauWoutersREPO_NAMETurboPE-BNSPATH_START.@TurboPE-BNS_extracted@TurboPE-BNS-main@injections@outdir_TF2@injection_48@copy_injection_recovery.py@.PATH_END.py |
{
"filename": "Photometry_doppler.py",
"repo_name": "bretonr/Icarus",
"repo_path": "Icarus_extracted/Icarus-master/Icarus/Photometry/Photometry_doppler.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE
from __future__ import print_function, division
__all__ = ["Photometry_doppler"]
import warnings
from ..Utils.import_modules import *
from .. import Utils
from .. import Core
from .. import Atmosphere
from .Photometry import Photometry
###################... | bretonrREPO_NAMEIcarusPATH_START.@Icarus_extracted@Icarus-master@Icarus@Photometry@Photometry_doppler.py@.PATH_END.py |
{
"filename": "get_feros.py",
"repo_name": "Abelink23/pyIACOB",
"repo_path": "pyIACOB_extracted/pyIACOB-main/get_feros.py",
"type": "Python"
} | from db import *
import shutil
import tarfile
from astroquery.eso import Eso
# https://astroquery.readthedocs.io/en/latest/eso/eso.html
eso = Eso()
eso.login(input('Provide the username of your ESO account: '), store_password=True)
eso.ROW_LIMIT = -1
def get_feros(fname, colname=None, radius=2, program=None, limit=... | Abelink23REPO_NAMEpyIACOBPATH_START.@pyIACOB_extracted@pyIACOB-main@get_feros.py@.PATH_END.py |
{
"filename": "parameters_master_arepo.py",
"repo_name": "dnarayanan/powderday",
"repo_path": "powderday_extracted/powderday-master/tests/SKIRT/arepo_idealized_extinction/parameters_master_arepo.py",
"type": "Python"
} | # coding=utf-8
#===============================================
#HOME INFORMATION
#===============================================
pd_source_dir = '/home/desika.narayanan/pd_git/'
#===============================================
#RESOLUTION KEYWORDS
#===============================================
oref = 0 # over refi... | dnarayananREPO_NAMEpowderdayPATH_START.@powderday_extracted@powderday-master@tests@SKIRT@arepo_idealized_extinction@parameters_master_arepo.py@.PATH_END.py |
{
"filename": "2-3-removing-scattered-light-using-regressioncorrector.ipynb",
"repo_name": "lightkurve/lightkurve",
"repo_path": "lightkurve_extracted/lightkurve-main/docs/source/tutorials/2-creating-light-curves/2-3-removing-scattered-light-using-regressioncorrector.ipynb",
"type": "Jupyter Notebook"
} | # Removing scattered light from *TESS* light curves using linear regression (`RegressionCorrector`)
## Learning Goals
By the end of this tutorial, you will:
- Be familiar with the Lightkurve [RegressionCorrector](https://docs.lightkurve.org/reference/api/lightkurve.correctors.RegressionCorrector.html?highlight=regre... | lightkurveREPO_NAMElightkurvePATH_START.@lightkurve_extracted@lightkurve-main@docs@source@tutorials@2-creating-light-curves@2-3-removing-scattered-light-using-regressioncorrector.ipynb@.PATH_END.py |
{
"filename": "transit_basic.py",
"repo_name": "timothydmorton/VESPA",
"repo_path": "VESPA_extracted/VESPA-master/vespa/transit_basic.py",
"type": "Python"
} | from __future__ import print_function, division
import os
import logging
import pkg_resources
import warnings
import math
warnings.filterwarnings('ignore', '.*duration.*')
#test if building documentation on readthedocs.org
on_rtd = os.environ.get('READTHEDOCS') == 'True'
if not on_rtd:
import numpy as np
f... | timothydmortonREPO_NAMEVESPAPATH_START.@VESPA_extracted@VESPA-master@vespa@transit_basic.py@.PATH_END.py |
{
"filename": "_size.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/histogram2d/colorbar/tickfont/_size.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="size", parent_name="histogram2d.colorbar.tickfont", **kwargs
):
super(SizeValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@histogram2d@colorbar@tickfont@_size.py@.PATH_END.py |
{
"filename": "sources.py",
"repo_name": "NASA-Planetary-Science/sbpy",
"repo_path": "sbpy_extracted/sbpy-main/sbpy/spectroscopy/sources.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""sbpy Spectroscopy Sources Module
Spectrophotometric classes that encapsulate synphot.SpectralSource and
synphot.Observation in order to generate sbpy spectra and photometry.
Requires synphot.
"""
__all__ = [
'BlackbodySource', 'Reddening'
]
imp... | NASA-Planetary-ScienceREPO_NAMEsbpyPATH_START.@sbpy_extracted@sbpy-main@sbpy@spectroscopy@sources.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/scipy/_lib/tests/__init__.py",
"type": "Python"
} | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@scipy@_lib@tests@__init__.py@.PATH_END.py | |
{
"filename": "analyze.py",
"repo_name": "jmd-dk/concept",
"repo_path": "concept_extracted/concept-master/test/realize/analyze.py",
"type": "Python"
} | # This file has to be run in pure Python mode!
# Imports from the CO𝘕CEPT code
from commons import *
plt = get_matplotlib().pyplot
# Import CLASS
from classy import Class
# Absolute path and name of this test
this_dir = os.path.dirname(os.path.realpath(__file__))
this_test = os.path.basename(os.path.dirname(this_d... | jmd-dkREPO_NAMEconceptPATH_START.@concept_extracted@concept-master@test@realize@analyze.py@.PATH_END.py |
{
"filename": "_ordering.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/transition/_ordering.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class OrderingValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="ordering", parent_name="layout.transition", **kwargs
):
super(OrderingValidator, self).__init__(
plotly_name=plotly_name,
pare... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@transition@_ordering.py@.PATH_END.py |
{
"filename": "util.py",
"repo_name": "GalSim-developers/GalSim",
"repo_path": "GalSim_extracted/GalSim-main/galsim/config/util.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@galsim@config@util.py@.PATH_END.py |
{
"filename": "util.py",
"repo_name": "mhammond/pywin32",
"repo_path": "pywin32_extracted/pywin32-main/com/win32com/server/util.py",
"type": "Python"
} | """General Server side utilities"""
import pythoncom
import winerror
from . import policy
from .exception import COMException
def wrap(ob, iid=None, usePolicy=None, useDispatcher=None):
"""Wraps an object in a PyGDispatch gateway.
Returns a client side PyI{iid} interface.
Interface and gateway support... | mhammondREPO_NAMEpywin32PATH_START.@pywin32_extracted@pywin32-main@com@win32com@server@util.py@.PATH_END.py |
{
"filename": "rate_network.py",
"repo_name": "sbird/fake_spectra",
"repo_path": "fake_spectra_extracted/fake_spectra-master/fake_spectra/rate_network.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""A rate network for neutral hydrogen following
Katz, Weinberg & Hernquist 1996, eq. 28-32."""
import os.path
import math
import numpy as np
import scipy.interpolate as interp
class RateNetwork(object):
"""A rate network for neutral hydrogen following
Katz, Weinberg & Hernquist 1996, a... | sbirdREPO_NAMEfake_spectraPATH_START.@fake_spectra_extracted@fake_spectra-master@fake_spectra@rate_network.py@.PATH_END.py |
{
"filename": "_shadow.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/parcoords/labelfont/_shadow.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShadowValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="shadow", parent_name="parcoords.labelfont", **kwargs
):
super(ShadowValidator, self).__init__(
plotly_name=plotly_name,
parent_name=... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@parcoords@labelfont@_shadow.py@.PATH_END.py |
{
"filename": "plot_cv_indices.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/examples/model_selection/plot_cv_indices.py",
"type": "Python"
} | """
Visualizing cross-validation behavior in scikit-learn
=====================================================
Choosing the right cross-validation object is a crucial part of fitting a
model properly. There are many ways to split data into training and test
sets in order to avoid model overfitting, to standardize the... | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@examples@model_selection@plot_cv_indices.py@.PATH_END.py |
{
"filename": "_camera.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/layout/scene/_camera.py",
"type": "Python"
} | from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
import copy as _copy
class Camera(_BaseLayoutHierarchyType):
# class properties
# --------------------
_parent_path_str = "layout.scene"
_path_str = "layout.scene.camera"
_valid_props = {"center", "eye", "project... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@layout@scene@_camera.py@.PATH_END.py |
{
"filename": "MM_setup_2_100.py",
"repo_name": "rpoleski/MulensModel",
"repo_path": "MulensModel_extracted/MulensModel-master/examples/run_time_tests/MM_setup_2_100.py",
"type": "Python"
} | import os
import sys
sys.path.append("/home/antares/poleski/WFIRST/MulensModel/source")
import MulensModel as mm
file_1 = "test_100_piE.txt"
data_1 = mm.MulensData(file_name=file_1)
t_0 = 2456900.
u_0 = 0.1
t_E = 50.
pi_E_N = 0.6
pi_E_E = 0.8
param = {'t_0': t_0, 'u_0': u_0, 't_E': t_E, 'pi_E_N': pi_E_N, 'pi_E_E': pi... | rpoleskiREPO_NAMEMulensModelPATH_START.@MulensModel_extracted@MulensModel-master@examples@run_time_tests@MM_setup_2_100.py@.PATH_END.py |
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