metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "cactus_grid_omni.py",
"repo_name": "wokast/PyCactus",
"repo_path": "PyCactus_extracted/PyCactus-master/PostCactus/postcactus/cactus_grid_omni.py",
"type": "Python"
} | from builtins import zip
from builtins import str
from builtins import object
from postcactus import cactus_grid_h5 as cgr
from postcactus import cactus_grid_ascii as cgra
class GridOmniReader(object):
"""This class provides access to all grid data of given dimensions.
This includes hdf5 format and, for 1D d... | wokastREPO_NAMEPyCactusPATH_START.@PyCactus_extracted@PyCactus-master@PostCactus@postcactus@cactus_grid_omni.py@.PATH_END.py |
{
"filename": "_line.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/choropleth/marker/_line.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="line", parent_name="choropleth.marker", **kwargs):
super(LineValidator, 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@choropleth@marker@_line.py@.PATH_END.py |
{
"filename": "train_net.py",
"repo_name": "chenwuperth/rgz_rcnn",
"repo_path": "rgz_rcnn_extracted/rgz_rcnn-master/tools/train_net.py",
"type": "Python"
} | #!/usr/bin/env python
# --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
"""Train a Fast R-CNN network on a region of int... | chenwuperthREPO_NAMErgz_rcnnPATH_START.@rgz_rcnn_extracted@rgz_rcnn-master@tools@train_net.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "IvS-KULeuven/IvSPythonRepository",
"repo_path": "IvSPythonRepository_extracted/IvSPythonRepository-master/units/__init__.py",
"type": "Python"
} |
__all__ = ["constants", "conversions","vectors"]
| IvS-KULeuvenREPO_NAMEIvSPythonRepositoryPATH_START.@IvSPythonRepository_extracted@IvSPythonRepository-master@units@__init__.py@.PATH_END.py |
{
"filename": "tpfmodel.py",
"repo_name": "lightkurve/lightkurve",
"repo_path": "lightkurve_extracted/lightkurve-main/src/lightkurve/prf/tpfmodel.py",
"type": "Python"
} | """Provides tools to model a Kepler image for PRF photometry fitting.
Examples
--------
%matplotlib inline
import numpy as np
from lightkurve import KeplerTargetPixelFile, LightCurve
from lightkurve.prf import StarPrior, BackgroundPrior, FocusPrior, MotionPrior, TPFModel, PRFPhotometry
from oktopus import GaussianPrio... | lightkurveREPO_NAMElightkurvePATH_START.@lightkurve_extracted@lightkurve-main@src@lightkurve@prf@tpfmodel.py@.PATH_END.py |
{
"filename": "nso.py",
"repo_name": "AWehrhahn/SME",
"repo_path": "SME_extracted/SME-master/src/pysme/nso.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# Get and read the NSO spectrum
import numpy as np
from . import large_file_storage as lfs
def load_solar_spectrum(ravel=True):
"""
Load the solar spectrum
The data is from the National Solar Observatory Atlas #1, which is an
optical, full-disk, FTS spectrum of a relatively i... | AWehrhahnREPO_NAMESMEPATH_START.@SME_extracted@SME-master@src@pysme@nso.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/libs/protobuf/third_party/utf8_range/README.md",
"type": "Markdown"
} | [](https://travis-ci.com/cyb70289/utf8)
# Fast UTF-8 validation with Range algorithm (NEON+SSE4+AVX2)
This is a brand new algorithm to leverage SIMD for fast UTF-8 string validation. Both **NEON**(armv8a) and **SSE4** versions are implemented. **AV... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@libs@protobuf@third_party@utf8_range@README.md@.PATH_END.py |
{
"filename": "test.py",
"repo_name": "davidharvey1986/pyRRG",
"repo_path": "pyRRG_extracted/pyRRG-master/unittests/bugFixPyRRG/lib/python3.7/site-packages/setuptools/command/test.py",
"type": "Python"
} | import os
import operator
import sys
import contextlib
import itertools
import unittest
from distutils.errors import DistutilsError, DistutilsOptionError
from distutils import log
from unittest import TestLoader
from setuptools.extern import six
from setuptools.extern.six.moves import map, filter
from pkg_resources i... | davidharvey1986REPO_NAMEpyRRGPATH_START.@pyRRG_extracted@pyRRG-master@unittests@bugFixPyRRG@lib@python3.7@site-packages@setuptools@command@test.py@.PATH_END.py |
{
"filename": "test_canonical_constraint.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py2/scipy/optimize/_trustregion_constr/tests/test_canonical_constraint.py",
"type": "Python"
} | from __future__ import division, print_function, absolute_import
import numpy as np
from numpy.testing import assert_array_equal, assert_equal
from scipy.optimize._constraints import (NonlinearConstraint, Bounds,
PreparedConstraint)
from scipy.optimize._trustregion_constr.canoni... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py2@scipy@optimize@_trustregion_constr@tests@test_canonical_constraint.py@.PATH_END.py |
{
"filename": "donz_SV3.py",
"repo_name": "desihub/LSS",
"repo_path": "LSS_extracted/LSS-main/scripts/SV3/donz_SV3.py",
"type": "Python"
} | import sys,os
import argparse
#sys.path.append('../py') #this requires running from LSS/bin, *something* must allow linking without this but is not present in code yet
#from this package
#try:
#import LSS.SV3.cattools as ct
import LSS.common_tools as common
parser = argparse.ArgumentParser()
parser.add_argument("--b... | desihubREPO_NAMELSSPATH_START.@LSS_extracted@LSS-main@scripts@SV3@donz_SV3.py@.PATH_END.py |
{
"filename": "pylab.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/ipython/py3/IPython/core/magics/pylab.py",
"type": "Python"
} | """Implementation of magic functions for matplotlib/pylab support.
"""
#-----------------------------------------------------------------------------
# Copyright (c) 2012 The IPython Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distri... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@ipython@py3@IPython@core@magics@pylab.py@.PATH_END.py |
{
"filename": "example.ipynb",
"repo_name": "musevlt/origin",
"repo_path": "origin_extracted/origin-master/docs/example.ipynb",
"type": "Jupyter Notebook"
} | ## Example notebook
This notebook shows how to run ORIGIN on a sub-cube from the UDF10 (http://muse-vlt.eu/science/udf/).
```python
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
from mpdaf.obj import Image, Cube
from mpdaf.sdetect import Catalog
import muse_origin
from muse_origin import OR... | musevltREPO_NAMEoriginPATH_START.@origin_extracted@origin-master@docs@example.ipynb@.PATH_END.py |
{
"filename": "live_pastro.py",
"repo_name": "gwastro/pycbc",
"repo_path": "pycbc_extracted/pycbc-master/pycbc/population/live_pastro.py",
"type": "Python"
} | import logging
import h5py
import numpy
from pycbc.tmpltbank import bank_conversions as bankconv
from pycbc.events import triggers
from pycbc import conversions as conv
from . import fgmc_functions as fgmcfun
_s_per_yr = 1. / conv.sec_to_year(1.)
logger = logging.getLogger('pycbc.population.live_pastro')
def check... | gwastroREPO_NAMEpycbcPATH_START.@pycbc_extracted@pycbc-master@pycbc@population@live_pastro.py@.PATH_END.py |
{
"filename": "_ticktext.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatter/marker/colorbar/_ticktext.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self, plotly_name="ticktext", parent_name="scatter.marker.colorbar", **kwargs
):
super(TicktextValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatter@marker@colorbar@_ticktext.py@.PATH_END.py |
{
"filename": "essplot.py",
"repo_name": "arviz-devs/arviz",
"repo_path": "arviz_extracted/arviz-main/arviz/plots/backends/matplotlib/essplot.py",
"type": "Python"
} | """Matplotlib energyplot."""
import matplotlib.pyplot as plt
import numpy as np
from scipy.stats import rankdata
from ...plot_utils import _scale_fig_size
from . import backend_kwarg_defaults, backend_show, create_axes_grid, matplotlib_kwarg_dealiaser
def plot_ess(
ax,
plotters,
xdata,
ess_tail_data... | arviz-devsREPO_NAMEarvizPATH_START.@arviz_extracted@arviz-main@arviz@plots@backends@matplotlib@essplot.py@.PATH_END.py |
{
"filename": "wdmerger.py",
"repo_name": "AMReX-Astro/wdmerger",
"repo_path": "wdmerger_extracted/wdmerger-main/analysis/wdmerger.py",
"type": "Python"
} |
#
# Return the CASTRO directory on the current machine, based on your environment variables.
#
def get_castro_dir():
"""Return the location of the CASTRO directory."""
import os
CASTRO_HOME = os.getenv('CASTRO_HOME')
return CASTRO_HOME
# Return the name of the current inputs file in a directory.... | AMReX-AstroREPO_NAMEwdmergerPATH_START.@wdmerger_extracted@wdmerger-main@analysis@wdmerger.py@.PATH_END.py |
{
"filename": "gravsphere_initialise_PlumCoreOm.py",
"repo_name": "justinread/gravsphere",
"repo_path": "gravsphere_extracted/gravsphere-master/gravsphere_initialise_PlumCoreOm.py",
"type": "Python"
} | import numpy as np
from constants import *
from functions import *
#This file contains all the code options and choices for
#running a given model. Throughout, -1 means auto-calculate.
#Data files and output base filename:
nstars = 1000
if (nstars == 1000):
whichgal = 'PlumCoreOm'
elif (nstars == 100):
whi... | justinreadREPO_NAMEgravspherePATH_START.@gravsphere_extracted@gravsphere-master@gravsphere_initialise_PlumCoreOm.py@.PATH_END.py |
{
"filename": "base.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/chains/query_constructor/base.py",
"type": "Python"
} | """LLM Chain for turning a user text query into a structured query."""
from __future__ import annotations
import json
from typing import Any, Callable, List, Optional, Sequence, Tuple, Union, cast
from langchain_core._api import deprecated
from langchain_core.exceptions import OutputParserException
from langchain_co... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@chains@query_constructor@base.py@.PATH_END.py |
{
"filename": "_linecolor.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/scene/xaxis/_linecolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="linecolor", parent_name="layout.scene.xaxis", **kwargs
):
super(LinecolorValidator, self).__init__(
plotly_name=plotly_name,
paren... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@scene@xaxis@_linecolor.py@.PATH_END.py |
{
"filename": "stages.py",
"repo_name": "LCOGT/banzai",
"repo_path": "banzai_extracted/banzai-main/banzai/stages.py",
"type": "Python"
} | import abc
import itertools
from collections.abc import Iterable
from banzai import logs
from banzai.frames import ObservationFrame
logger = logs.get_logger()
class Stage(abc.ABC):
def __init__(self, runtime_context):
self.runtime_context = runtime_context
@property
def stage_name(self):
... | LCOGTREPO_NAMEbanzaiPATH_START.@banzai_extracted@banzai-main@banzai@stages.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/keras/__init__.py",
"type": "Python"
} | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@keras@__init__.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "crossbario/crossbar",
"repo_path": "crossbar_extracted/crossbar-master/test/app2/README.md",
"type": "Markdown"
} | This app subscribes to the core set of WAMP meta events and logs events as received.
To run:
```console
python client.py --realm $CBREALM --url $CBURL
```
| crossbarioREPO_NAMEcrossbarPATH_START.@crossbar_extracted@crossbar-master@test@app2@README.md@.PATH_END.py |
{
"filename": "which_law_should_i_use.py",
"repo_name": "nespinoza/ld-exosim",
"repo_path": "ld-exosim_extracted/ld-exosim-master/which_law_should_i_use.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
import multiprocessing as mp
import os
import pyfits
import lmfit
import sys
import Utils
##################### CUSTOMIZABLE OPTIONS ###########################
# Define ld laws to simulate transits from:
ld_laws = ['linear','quadratic','logarithmic','... | nespinozaREPO_NAMEld-exosimPATH_START.@ld-exosim_extracted@ld-exosim-master@which_law_should_i_use.py@.PATH_END.py |
{
"filename": "Dai_2015_raw_to_yaml.py",
"repo_name": "NickSwainston/pulsar_spectra",
"repo_path": "pulsar_spectra_extracted/pulsar_spectra-main/pulsar_spectra/catalogue_papers/Dai_2015_raw_to_yaml.py",
"type": "Python"
} | import json
with open("Dai_2015_raw.txt", "r") as raw_file:
lines = raw_file.readlines()
print(lines)
pulsar_dict = {}
for row in lines:
row = row.replace(" ± ", "±").split(" ")
print(row)
pulsar = row[0].replace("−", "-")
freqs = []
bands = []
fluxs = []
flux_errs = []
if len... | NickSwainstonREPO_NAMEpulsar_spectraPATH_START.@pulsar_spectra_extracted@pulsar_spectra-main@pulsar_spectra@catalogue_papers@Dai_2015_raw_to_yaml.py@.PATH_END.py |
{
"filename": "backend.py",
"repo_name": "crossbario/crossbar",
"repo_path": "crossbar_extracted/crossbar-master/test/test_backend/cf2/backend.py",
"type": "Python"
} | # Copyright (c) typedef int GmbH, licensed under The MIT License (MIT)
import os
from twisted.internet.defer import inlineCallbacks
from autobahn.wamp.types import RegisterOptions
from autobahn.twisted.wamp import ApplicationSession, ApplicationRunner
class MyComponent(ApplicationSession):
@inlineCallbacks
... | crossbarioREPO_NAMEcrossbarPATH_START.@crossbar_extracted@crossbar-master@test@test_backend@cf2@backend.py@.PATH_END.py |
{
"filename": "test_wcs.py",
"repo_name": "astropy/photutils",
"repo_path": "photutils_extracted/photutils-main/photutils/datasets/tests/test_wcs.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
Tests for the wcs module.
"""
import pytest
from numpy.testing import assert_allclose
from photutils.datasets import make_gwcs, make_wcs
from photutils.utils._optional_deps import HAS_GWCS
def test_make_wcs():
shape = (100, 200)
wcs = make_... | astropyREPO_NAMEphotutilsPATH_START.@photutils_extracted@photutils-main@photutils@datasets@tests@test_wcs.py@.PATH_END.py |
{
"filename": "navigate.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/tools/playwright/navigate.py",
"type": "Python"
} | from __future__ import annotations
from typing import Optional, Type
from urllib.parse import urlparse
from langchain_core.callbacks import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from pydantic import BaseModel, Field, model_validator
from langchain_community.tools.playwright.base impo... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@tools@playwright@navigate.py@.PATH_END.py |
{
"filename": "srclist.py",
"repo_name": "HERA-Team/aipy",
"repo_path": "aipy_extracted/aipy-main/scripts/srclist.py",
"type": "Python"
} | #!/usr/bin/env python
"""
A script for listing sources (and optionally source parameters) from
catalogs.
"""
from __future__ import print_function, division, absolute_import
import aipy as a, ephem, sys, optparse,logging
o = optparse.OptionParser()
o.set_usage('srclist.py [options]')
o.set_description(__doc__)
a.sc... | HERA-TeamREPO_NAMEaipyPATH_START.@aipy_extracted@aipy-main@scripts@srclist.py@.PATH_END.py |
{
"filename": "_ticklen.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/surface/colorbar/_ticklen.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="ticklen", parent_name="surface.colorbar", **kwargs):
super(TicklenValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@surface@colorbar@_ticklen.py@.PATH_END.py |
{
"filename": "java-reference_catboostmodel__predictnumericfeaturescatfeaturehashes.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/_includes/work_src/reusage-java/java-reference_catboostmodel__predictnumericfeaturescatfeaturehashes.md",
"type": "Markdown... |
Apply the model to a batch of objects. Uses a matrix of numerical features and a matrix of hashes of categorical features.
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@_includes@work_src@reusage-java@java-reference_catboostmodel__predictnumericfeaturescatfeaturehashes.md@.PATH_END.py |
{
"filename": "test_calwebb_image3.py",
"repo_name": "spacetelescope/jwst",
"repo_path": "jwst_extracted/jwst-main/jwst/pipeline/tests/test_calwebb_image3.py",
"type": "Python"
} | import pytest
import os
import shutil
from jwst.stpipe import Step
from jwst.assign_wcs import AssignWcsStep
from jwst.datamodels import ImageModel # type: ignore[attr-defined]
INPUT_FILE = "dummy_cal.fits"
INPUT_FILE_2 = "dummy2_cal.fits"
INPUT_ASN = "dummy_asn.json"
OUTPUT_PRODUCT = "custom_name"
LOGFILE = "run_as... | spacetelescopeREPO_NAMEjwstPATH_START.@jwst_extracted@jwst-main@jwst@pipeline@tests@test_calwebb_image3.py@.PATH_END.py |
{
"filename": "message.py",
"repo_name": "pynbody/tangos",
"repo_path": "tangos_extracted/tangos-master/tangos/parallel_tasks/message.py",
"type": "Python"
} | reception_timing_monitor = None
def _setup_message_reception_timing_monitor():
global reception_timing_monitor
from ..util import timing_monitor
from . import backend
if backend is None or backend.rank() == 0:
# server can't gather its own timing information
reception_timing_monitor = ... | pynbodyREPO_NAMEtangosPATH_START.@tangos_extracted@tangos-master@tangos@parallel_tasks@message.py@.PATH_END.py |
{
"filename": "test_ghost_spect.py",
"repo_name": "GeminiDRSoftware/GHOSTDR",
"repo_path": "GHOSTDR_extracted/GHOSTDR-master/ghostdr/ghost/test/test_ghost_spect.py",
"type": "Python"
} | # pytest suite
"""
Unit tests for :any:`ghostdr.ghost.primitives_ghost_spect`.
This is a suite of tests to be run with pytest.
"""
from __future__ import division
import os
import numpy as np
import astrodata
import ghost_instruments
from gempy.utils import logutils
from six.moves import range
# from geminidr.core.t... | GeminiDRSoftwareREPO_NAMEGHOSTDRPATH_START.@GHOSTDR_extracted@GHOSTDR-master@ghostdr@ghost@test@test_ghost_spect.py@.PATH_END.py |
{
"filename": "_opacitysrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattermapbox/marker/_opacitysrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="opacitysrc", parent_name="scattermapbox.marker", **kwargs
):
super(OpacitysrcValidator, self).__init__(
plotly_name=plotly_name,
pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattermapbox@marker@_opacitysrc.py@.PATH_END.py |
{
"filename": "read_yields.py",
"repo_name": "oliverphilcox/ChempyMulti",
"repo_path": "ChempyMulti_extracted/ChempyMulti-master/Chempy/input/yields/NuGrid/read_yields.py",
"type": "Python"
} | '''
Superclass to extract yield data from tables
and from mppnp simulations
Christian Ritter 11/2013
Two classes: One for reading and extracting of
NuGrid table data, the other one for SN1a data.
'''
import matplotlib.pyplot as plt
import numpy as np
import os
color=['r'... | oliverphilcoxREPO_NAMEChempyMultiPATH_START.@ChempyMulti_extracted@ChempyMulti-master@Chempy@input@yields@NuGrid@read_yields.py@.PATH_END.py |
{
"filename": "step.py",
"repo_name": "toros-astro/corral",
"repo_path": "corral_extracted/corral-master/corral/run/step.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@run@step.py@.PATH_END.py |
{
"filename": "xception.py",
"repo_name": "keras-team/keras",
"repo_path": "keras_extracted/keras-master/keras/src/applications/xception.py",
"type": "Python"
} | from keras.src import backend
from keras.src import layers
from keras.src.api_export import keras_export
from keras.src.applications import imagenet_utils
from keras.src.models import Functional
from keras.src.ops import operation_utils
from keras.src.utils import file_utils
WEIGHTS_PATH = (
"https://storage.googl... | keras-teamREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@applications@xception.py@.PATH_END.py |
{
"filename": "single-mass_2halo_best-fit_nbatta-2010.py",
"repo_name": "dylancromer/maszcal",
"repo_path": "maszcal_extracted/maszcal-main/scripts/single-mass_2halo_best-fit_nbatta-2010.py",
"type": "Python"
} | import datetime
import argparse
import time
import numpy as np
import pathos.pools as pp
import supercubos
from sklearn.gaussian_process.kernels import Matern
import emcee
import astropy.units as u
import maszcal.data.sims
import maszcal.data.obs
import maszcal.lensing
import maszcal.likelihoods
import maszcal.fitutils... | dylancromerREPO_NAMEmaszcalPATH_START.@maszcal_extracted@maszcal-main@scripts@single-mass_2halo_best-fit_nbatta-2010.py@.PATH_END.py |
{
"filename": "calculate_nlte_correction_line.py",
"repo_name": "TSFitPy-developers/TSFitPy",
"repo_path": "TSFitPy_extracted/TSFitPy-main/calculate_nlte_correction_line.py",
"type": "Python"
} | from __future__ import annotations
from sys import argv
from scripts.calculate_nlte_correction_line import run_nlte_corrections
import datetime
import numpy as np
if __name__ == '__main__':
abundance: float = 0.0 # abundance of element in LTE [X/Fe]; scaled with metallicity
if len(argv) > 1: # when calling... | TSFitPy-developersREPO_NAMETSFitPyPATH_START.@TSFitPy_extracted@TSFitPy-main@calculate_nlte_correction_line.py@.PATH_END.py |
{
"filename": "_astropy_init.py",
"repo_name": "spacetelescope/pystortion",
"repo_path": "pystortion_extracted/pystortion-master/pystortion/_astropy_init.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
__all__ = ['__version__', '__githash__']
# this indicates whether or not we are in the package's setup.py
try:
_ASTROPY_SETUP_
except NameError:
from sys import version_info
if version_info[0] >= 3:
import builtins
else:
i... | spacetelescopeREPO_NAMEpystortionPATH_START.@pystortion_extracted@pystortion-master@pystortion@_astropy_init.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "Henrik-Knierim/py_mesa_helper",
"repo_path": "py_mesa_helper_extracted/py_mesa_helper-main/mesa_helper/__init__.py",
"type": "Python"
} | from mesa_helper.astrophys import *
from mesa_helper.Inlist import Inlist
from mesa_helper.CompositionGradient import CompositionGradient
from mesa_helper.Rn import Rn
from mesa_helper.Simulation import Simulation
from mesa_helper.SimulationSeries import SimulationSeries | Henrik-KnierimREPO_NAMEpy_mesa_helperPATH_START.@py_mesa_helper_extracted@py_mesa_helper-main@mesa_helper@__init__.py@.PATH_END.py |
{
"filename": "troposphere_delay.py",
"repo_name": "nanograv/PINT",
"repo_path": "PINT_extracted/PINT-master/src/pint/models/troposphere_delay.py",
"type": "Python"
} | """Delay due to Earth's troposphere"""
import astropy.constants as const
import astropy.units as u
import numpy as np
import scipy.interpolate
from astropy.coordinates import AltAz, SkyCoord
from loguru import logger as log
from pint.models.parameter import boolParameter
from pint.models.timing_model import DelayComp... | nanogravREPO_NAMEPINTPATH_START.@PINT_extracted@PINT-master@src@pint@models@troposphere_delay.py@.PATH_END.py |
{
"filename": "synthesis.py",
"repo_name": "andycasey/smhr",
"repo_path": "smhr_extracted/smhr-master/smh/radiative_transfer/moog/synthesis.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
""" Synthesis functionality with the MOOG(SILENT) radiative transfer code. """
from __future__ import (division, print_function, absolute_import,
unicode_literals)
import logging
import numpy as np
import yaml
from pkg_resources import resource_s... | andycaseyREPO_NAMEsmhrPATH_START.@smhr_extracted@smhr-master@smh@radiative_transfer@moog@synthesis.py@.PATH_END.py |
{
"filename": "hcam.py",
"repo_name": "HiPERCAM/hipercam",
"repo_path": "hipercam_extracted/hipercam-master/hipercam/hcam.py",
"type": "Python"
} | """
Section for handling the raw HiPERCAM data files. These are FITS files
with a single HDU containing header information on the window format amonst
other things with the data in a "FITS cube" of unusual nature in that it has
dimensions of nframe x 1 x lots, where "lots" contains all pixels of all
windows of all CCDs... | HiPERCAMREPO_NAMEhipercamPATH_START.@hipercam_extracted@hipercam-master@hipercam@hcam.py@.PATH_END.py |
{
"filename": "cli-usages-examples.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/concepts/cli-usages-examples.md",
"type": "Markdown"
} | # Usage examples
## Train and apply a classification model {#class-model}
Train a classification model with default parameters in silent mode and then calculate model predictions on a custom dataset. The output contains the evaluated class1 probability:
```no-highlight
catboost fit --learn-set train.tsv --test-set t... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@concepts@cli-usages-examples.md@.PATH_END.py |
{
"filename": "_tickprefix.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/carpet/aaxis/_tickprefix.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="tickprefix", parent_name="carpet.aaxis", **kwargs):
super(TickprefixValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_na... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@carpet@aaxis@_tickprefix.py@.PATH_END.py |
{
"filename": "readme.md",
"repo_name": "bd-j/forcepho",
"repo_path": "forcepho_extracted/forcepho-main/demo/demo_basic/readme.md",
"type": "Markdown"
} | # Test: Basic
Generate a galsim image with specific parameters and fit it with forcepho.
## setup
```sh
# get some common info
ln -s ../demo_utils.py demo_utils.py
ln -s ../data/sersic_splinedata_large.h5 sersic_splinedata_large.h5
```
## usage
Generate image, fit it, and plot corner, trace, and residuals
```sh
py... | bd-jREPO_NAMEforcephoPATH_START.@forcepho_extracted@forcepho-main@demo@demo_basic@readme.md@.PATH_END.py |
{
"filename": "colorbar.py",
"repo_name": "macrocosme/shwirl",
"repo_path": "shwirl_extracted/shwirl-master/shwirl/extern/vispy/scene/widgets/colorbar.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright (c) 2015, Vispy Development Team. All Rights Reserved.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
# -------------------------------------------------------------------------... | macrocosmeREPO_NAMEshwirlPATH_START.@shwirl_extracted@shwirl-master@shwirl@extern@vispy@scene@widgets@colorbar.py@.PATH_END.py |
{
"filename": "_triangulation.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/matplotlib/py3/matplotlib/tri/_triangulation.py",
"type": "Python"
} | import sys
import numpy as np
from matplotlib import _api
class Triangulation:
"""
An unstructured triangular grid consisting of npoints points and
ntri triangles. The triangles can either be specified by the user
or automatically generated using a Delaunay triangulation.
Parameters
------... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@matplotlib@py3@matplotlib@tri@_triangulation.py@.PATH_END.py |
{
"filename": "shapeannotation.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/shapeannotation.py",
"type": "Python"
} | # some functions defined here to avoid numpy import
def _mean(x):
if len(x) == 0:
raise ValueError("x must have positive length")
return float(sum(x)) / len(x)
def _argmin(x):
return sorted(enumerate(x), key=lambda t: t[1])[0][0]
def _argmax(x):
return sorted(enumerate(x), key=lambda t: t[... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@shapeannotation.py@.PATH_END.py |
{
"filename": "_tickprefix.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/polar/angularaxis/_tickprefix.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="tickprefix", parent_name="layout.polar.angularaxis", **kwargs
):
super(TickprefixValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@polar@angularaxis@_tickprefix.py@.PATH_END.py |
{
"filename": "_color.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/carpet/aaxis/title/font/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="carpet.aaxis.title.font", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@carpet@aaxis@title@font@_color.py@.PATH_END.py |
{
"filename": "broadcast_to_ops_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/kernel_tests/array_ops/broadcast_to_ops_test.py",
"type": "Python"
} | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@kernel_tests@array_ops@broadcast_to_ops_test.py@.PATH_END.py |
{
"filename": "_scaleratio.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/xaxis/_scaleratio.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ScaleratioValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="scaleratio", parent_name="layout.xaxis", **kwargs):
super(ScaleratioValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_na... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@xaxis@_scaleratio.py@.PATH_END.py |
{
"filename": "cpp_message.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/protobuf/py3/google/protobuf/pyext/cpp_message.py",
"type": "Python"
} | # Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redi... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@protobuf@py3@google@protobuf@pyext@cpp_message.py@.PATH_END.py |
{
"filename": "tutorials.md",
"repo_name": "markfortune/luas",
"repo_path": "luas_extracted/luas-main/docs/source/tutorials.md",
"type": "Markdown"
} | (tutorials_index)=
# Tutorials
Included below are tutorials introducing Gaussian processes and their extension to 2D data sets.
The optimised method used by `luas` to calculate the log-likelihood and its derivatives is first demonstrated using an implementation in NumPy in ["An Introduction to 2D Gaussian Processes"... | markfortuneREPO_NAMEluasPATH_START.@luas_extracted@luas-main@docs@source@tutorials.md@.PATH_END.py |
{
"filename": "DEMBoundaryPolicyInst.cc.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/DEM/SolidBoundary/DEMBoundaryPolicyInst.cc.py",
"type": "Python"
} | text = """
//------------------------------------------------------------------------------
// Explicit instantiation.
//------------------------------------------------------------------------------
#include "Geometry/Dimension.hh"
#include "DEM/SolidBoundary/DEMBoundaryPolicy.cc"
namespace Spheral {
template class... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@DEM@SolidBoundary@DEMBoundaryPolicyInst.cc.py@.PATH_END.py |
{
"filename": "modelsML_utils.py",
"repo_name": "eogarvin/MLCCS",
"repo_path": "MLCCS_extracted/MLCCS-main/ml_spectroscopy/modelsML_utils.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Created on Sun Nov 14 03:10:34 2021
Models for Machine learning , cross validation
@author: emily
"""
## LIBRARIES
import concurrent.futures
import pandas as pd
import numpy as np
import random
import os
import sys
import gc
import matplotlib.pyplot as plt
import math
from scipy.stats... | eogarvinREPO_NAMEMLCCSPATH_START.@MLCCS_extracted@MLCCS-main@ml_spectroscopy@modelsML_utils.py@.PATH_END.py |
{
"filename": "_bordercolorsrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/contour/hoverlabel/_bordercolorsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="bordercolorsrc", parent_name="contour.hoverlabel", **kwargs
):
super(BordercolorsrcValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@contour@hoverlabel@_bordercolorsrc.py@.PATH_END.py |
{
"filename": "test_docs.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/numpy/py3/numpy/f2py/tests/test_docs.py",
"type": "Python"
} | import os
import pytest
import numpy as np
from numpy.testing import assert_array_equal, assert_equal
from . import util
def get_docdir():
# assuming that documentation tests are run from a source
# directory
return os.path.abspath(os.path.join(
os.path.dirname(__file__),
'..', '..', '..',... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@numpy@py3@numpy@f2py@tests@test_docs.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "Jammy2211/PyAutoLens",
"repo_path": "PyAutoLens_extracted/PyAutoLens-main/autolens/quantity/model/__init__.py",
"type": "Python"
} | Jammy2211REPO_NAMEPyAutoLensPATH_START.@PyAutoLens_extracted@PyAutoLens-main@autolens@quantity@model@__init__.py@.PATH_END.py | |
{
"filename": "test_data.py",
"repo_name": "arviz-devs/arviz",
"repo_path": "arviz_extracted/arviz-main/arviz/tests/base_tests/test_data.py",
"type": "Python"
} | # pylint: disable=no-member, invalid-name, redefined-outer-name
# pylint: disable=too-many-lines
import importlib
import os
from collections import namedtuple
from copy import deepcopy
from html import escape
from typing import Dict
from tempfile import TemporaryDirectory
from urllib.parse import urlunsplit
import nu... | arviz-devsREPO_NAMEarvizPATH_START.@arviz_extracted@arviz-main@arviz@tests@base_tests@test_data.py@.PATH_END.py |
{
"filename": "_hovertext.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/contour/_hovertext.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HovertextValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="hovertext", parent_name="contour", **kwargs):
super(HovertextValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@contour@_hovertext.py@.PATH_END.py |
{
"filename": "conftest.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/tests/telemetry/conftest.py",
"type": "Python"
} | from uuid import UUID
import pytest
from opentelemetry.test.globals_test import (
reset_logging_globals,
reset_metrics_globals,
reset_trace_globals,
)
from prefect.settings import (
PREFECT_API_KEY,
PREFECT_API_URL,
PREFECT_EXPERIMENTS_TELEMETRY_ENABLED,
temporary_settings,
)
ACCOUNT_ID =... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@tests@telemetry@conftest.py@.PATH_END.py |
{
"filename": "_buttons.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/xaxis/rangeselector/_buttons.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ButtonsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
def __init__(
self, plotly_name="buttons", parent_name="layout.xaxis.rangeselector", **kwargs
):
super(ButtonsValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@xaxis@rangeselector@_buttons.py@.PATH_END.py |
{
"filename": "stepback-qa.ipynb",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/cookbook/stepback-qa.ipynb",
"type": "Jupyter Notebook"
} | # Step-Back Prompting (Question-Answering)
One prompting technique called "Step-Back" prompting can improve performance on complex questions by first asking a "step back" question. This can be combined with regular question-answering applications by then doing retrieval on both the original and step-back question.
Re... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@cookbook@stepback-qa.ipynb@.PATH_END.py |
{
"filename": "test_item.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/series/methods/test_item.py",
"type": "Python"
} | """
Series.item method, mainly testing that we get python scalars as opposed to
numpy scalars.
"""
import pytest
from pandas import (
Series,
Timedelta,
Timestamp,
date_range,
)
class TestItem:
def test_item(self):
# We are testing that we get python scalars as opposed to numpy scalars
... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@series@methods@test_item.py@.PATH_END.py |
{
"filename": "n2hp_cube_example.py",
"repo_name": "pyspeckit/pyspeckit",
"repo_path": "pyspeckit_extracted/pyspeckit-master/examples/n2hp_cube_example.py",
"type": "Python"
} | import astropy
import pyspeckit
import os
import astropy.units as u
import warnings
from astropy import wcs
if not os.path.exists('n2hp_cube.fit'):
import astropy.utils.data as aud
from astropy.io import fits
try:
f = aud.download_file('ftp://cdsarc.u-strasbg.fr/pub/cats/J/A%2BA/472/519/fits/opha_... | pyspeckitREPO_NAMEpyspeckitPATH_START.@pyspeckit_extracted@pyspeckit-master@examples@n2hp_cube_example.py@.PATH_END.py |
{
"filename": "2D_GP_intro.ipynb",
"repo_name": "markfortune/luas",
"repo_path": "luas_extracted/luas-main/docs/source/tutorials/2D_GP_intro.ipynb",
"type": "Jupyter Notebook"
} | (numpy_tutorial)=
# An Introduction into 2D Gaussian Processes
The goal of this tutorial will be to explain 2D Gaussian processes (GPs) and the optimisations implemented in luas to calculate the log-likelihood as well as the GP predictive mean and covariance. It has been implemented through ``NumPy`` instead of ``jax... | markfortuneREPO_NAMEluasPATH_START.@luas_extracted@luas-main@docs@source@tutorials@2D_GP_intro.ipynb@.PATH_END.py |
{
"filename": "_text.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/title/_text.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="text",
parent_name="scattercarpet.marker.colorbar.title",
**kwargs,
):
super(TextValidator, self).__init__(
plotly_name=pl... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattercarpet@marker@colorbar@title@_text.py@.PATH_END.py |
{
"filename": "lsl_comparison.py",
"repo_name": "oorb/oorb",
"repo_path": "oorb_extracted/oorb-master/.github/CI_files/lsl_comparison.py",
"type": "Python"
} | #!/usr/bin/env python
# A script used within CI to check if the results of lsl have changed.
import sys
file1 = open(sys.argv[1],'r')
file2 = open(sys.argv[2],'r')
eps = 0.0001
for i in file1:
if(i[0] == "#"):
pass
else:
f1_results = i.split()
for i in file2:
if(i[0] == "#"):
pass... | oorbREPO_NAMEoorbPATH_START.@oorb_extracted@oorb-master@.github@CI_files@lsl_comparison.py@.PATH_END.py |
{
"filename": "planck.py",
"repo_name": "JALusk/Lumiere",
"repo_path": "Lumiere_extracted/Lumiere-master/superbol/planck.py",
"type": "Python"
} | import numpy as np
from astropy import constants as const
from astropy import units as u
def planck_function(wavelength, temperature):
"""Planck function at given `wavelength` and `temperature` in cgs.
The specific intensity of radiation from a blackbody source is given by:
:math:`B_{\\lambda}(\\lambda,... | JALuskREPO_NAMELumierePATH_START.@Lumiere_extracted@Lumiere-master@superbol@planck.py@.PATH_END.py |
{
"filename": "test_mp.py",
"repo_name": "gwpy/gwpy",
"repo_path": "gwpy_extracted/gwpy-main/gwpy/utils/tests/test_mp.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# Copyright (C) Duncan Macleod (2014-2020)
#
# This file is part of GWpy.
#
# GWpy 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)... | gwpyREPO_NAMEgwpyPATH_START.@gwpy_extracted@gwpy-main@gwpy@utils@tests@test_mp.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "Rithwik-G/AstroMCAD",
"repo_path": "AstroMCAD_extracted/AstroMCAD-main/astromcad/__init__.py",
"type": "Python"
} | from astromcad.astromcad import Detect
from astromcad.astromcad import Custom
from astromcad.astromcad import mcif
| Rithwik-GREPO_NAMEAstroMCADPATH_START.@AstroMCAD_extracted@AstroMCAD-main@astromcad@__init__.py@.PATH_END.py |
{
"filename": "_templateitemname.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/streamtube/colorbar/tickformatstop/_templateitemname.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="templateitemname",
parent_name="streamtube.colorbar.tickformatstop",
**kwargs,
):
super(TemplateitemnameValidator, self)._... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@streamtube@colorbar@tickformatstop@_templateitemname.py@.PATH_END.py |
{
"filename": "database.py",
"repo_name": "IvS-KULeuven/IvSPythonRepository",
"repo_path": "IvSPythonRepository_extracted/IvSPythonRepository-master/inout/database.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
A simple interface to work with a database saved on the hard disk.
Author: Robin Lombaert
"""
import pickle
import time
class Database(dict):
'''
A database class.
The class creates and manages a dictionary saved to the hard disk.
It functions as a python dictionary w... | IvS-KULeuvenREPO_NAMEIvSPythonRepositoryPATH_START.@IvSPythonRepository_extracted@IvSPythonRepository-master@inout@database.py@.PATH_END.py |
{
"filename": "fdpexpect.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/pexpect/py3/pexpect/fdpexpect.py",
"type": "Python"
} | '''This is like :mod:`pexpect`, but it will work with any file descriptor that you
pass it. You are responsible for opening and close the file descriptor.
This allows you to use Pexpect with sockets and named pipes (FIFOs).
.. note::
socket.fileno() does not give a readable file descriptor on windows.
Use :mod... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@pexpect@py3@pexpect@fdpexpect.py@.PATH_END.py |
{
"filename": "wheel.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/setuptools/py2/setuptools/wheel.py",
"type": "Python"
} | """Wheels support."""
from distutils.util import get_platform
from distutils import log
import email
import itertools
import os
import posixpath
import re
import zipfile
import pkg_resources
import setuptools
from pkg_resources import parse_version
from setuptools.extern.packaging.tags import sys_tags
from setuptools... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@setuptools@py2@setuptools@wheel.py@.PATH_END.py |
{
"filename": "_dtype_ctypes.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/numpy/py3/numpy/_core/_dtype_ctypes.py",
"type": "Python"
} | from numpy.core import _dtype_ctypes
_globals = globals()
for item in _dtype_ctypes.__dir__():
_globals[item] = getattr(_dtype_ctypes, item)
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@numpy@py3@numpy@_core@_dtype_ctypes.py@.PATH_END.py |
{
"filename": "_namelengthsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/isosurface/hoverlabel/_namelengthsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="namelengthsrc", parent_name="isosurface.hoverlabel", **kwargs
):
super(NamelengthsrcValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@isosurface@hoverlabel@_namelengthsrc.py@.PATH_END.py |
{
"filename": "acknowledgments.md",
"repo_name": "amrvac/amrvac",
"repo_path": "amrvac_extracted/amrvac-master/doc/acknowledgments.md",
"type": "Markdown"
} | # Acknowledgments
This 3.0 version of the MPI-AMRVAC software was released in November 2022, with the aid of Beatrice Popescu Braileanu, Niels Claes and various core contributors (Chun Xia, Guo Yang, Yuhao Zhou, Wenzhi Ruan, Fabio Bacchini).
The team effort is managed by
[Rony Keppens](http://perswww.kuleuven.be/~u0... | amrvacREPO_NAMEamrvacPATH_START.@amrvac_extracted@amrvac-master@doc@acknowledgments.md@.PATH_END.py |
{
"filename": "tf_text_graph_faster_rcnn.py",
"repo_name": "itseez/opencv",
"repo_path": "opencv_extracted/opencv-master/samples/dnn/tf_text_graph_faster_rcnn.py",
"type": "Python"
} | import argparse
import numpy as np
from tf_text_graph_common import *
def createFasterRCNNGraph(modelPath, configPath, outputPath):
scopesToKeep = ('FirstStageFeatureExtractor', 'Conv',
'FirstStageBoxPredictor/BoxEncodingPredictor',
'FirstStageBoxPredictor/ClassPredictor',
... | itseezREPO_NAMEopencvPATH_START.@opencv_extracted@opencv-master@samples@dnn@tf_text_graph_faster_rcnn.py@.PATH_END.py |
{
"filename": "_showticklabels.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/xaxis/_showticklabels.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="showticklabels", parent_name="layout.xaxis", **kwargs
):
super(ShowticklabelsValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@xaxis@_showticklabels.py@.PATH_END.py |
{
"filename": "make_paper_lum_plot_appendix.py",
"repo_name": "FRBs/zdm",
"repo_path": "zdm_extracted/zdm-main/papers/Vvmax/make_paper_lum_plot_appendix.py",
"type": "Python"
} | """
This project takes in V/Vmax data from Wayne, creates a histogram,
and generates errorbars on the data.
It does this by reading in host galaxy FRB data ("loc_data.dat")
and DM-z relation data ("macquart_data.dat")
"""
import numpy as np
from matplotlib import pyplot as plt
from scipy.optimize import curve_fit
f... | FRBsREPO_NAMEzdmPATH_START.@zdm_extracted@zdm-main@papers@Vvmax@make_paper_lum_plot_appendix.py@.PATH_END.py |
{
"filename": "_weight.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/choroplethmapbox/colorbar/tickfont/_weight.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WeightValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self,
plotly_name="weight",
parent_name="choroplethmapbox.colorbar.tickfont",
**kwargs,
):
super(WeightValidator, self).__init__(
plotly_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@choroplethmapbox@colorbar@tickfont@_weight.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "ja-vazquez/SimpleMC",
"repo_path": "SimpleMC_extracted/SimpleMC-master/simplemc/tools/__init__.py",
"type": "Python"
} | from .cosmich import cosmochain
from .ToyModels import ToyModels | ja-vazquezREPO_NAMESimpleMCPATH_START.@SimpleMC_extracted@SimpleMC-master@simplemc@tools@__init__.py@.PATH_END.py |
{
"filename": "test_hierarchy.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py3/scipy/cluster/tests/test_hierarchy.py",
"type": "Python"
} | #
# Author: Damian Eads
# Date: April 17, 2008
#
# Copyright (C) 2008 Damian Eads
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py3@scipy@cluster@tests@test_hierarchy.py@.PATH_END.py |
{
"filename": "write_calibration.py",
"repo_name": "cosmo-ethz/hide",
"repo_path": "hide_extracted/hide-master/hide/plugins/write_calibration.py",
"type": "Python"
} | # HIDE 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.
#
# HIDE is distributed in the hope that it will be useful,
# but WITHOUT ANY W... | cosmo-ethzREPO_NAMEhidePATH_START.@hide_extracted@hide-master@hide@plugins@write_calibration.py@.PATH_END.py |
{
"filename": "index.md",
"repo_name": "antoinemarchal/ROHSA",
"repo_path": "ROHSA_extracted/ROHSA-master/docs/user_guide/03_algorithm/index.md",
"type": "Markdown"
} | title: Algorithm
# Algorithm
{: style="text-align: center" }
{: width="400" }
{: style="float: left"}
## ROHSA algorithm
<p style="text-align:justify;">
Coming Soon
| antoinemarchalREPO_NAMEROHSAPATH_START.@ROHSA_extracted@ROHSA-master@docs@user_guide@03_algorithm@index.md@.PATH_END.py |
{
"filename": "_connectgaps.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattercarpet/_connectgaps.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ConnectgapsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="connectgaps", parent_name="scattercarpet", **kwargs
):
super(ConnectgapsValidator, self).__init__(
plotly_name=plotly_name,
pa... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattercarpet@_connectgaps.py@.PATH_END.py |
{
"filename": "_y.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/sunburst/domain/_y.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class YValidator(_plotly_utils.basevalidators.InfoArrayValidator):
def __init__(self, plotly_name="y", parent_name="sunburst.domain", **kwargs):
super(YValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@sunburst@domain@_y.py@.PATH_END.py |
{
"filename": "igimf_epoch_33.py",
"repo_name": "juzikong/photGalIMF",
"repo_path": "photGalIMF_extracted/photGalIMF-main/simulation_results_from_galaxy_evol/example/igimf_epoch_33.py",
"type": "Python"
} | # File to define a custom IMF
# The return value represents the chosen IMF value for the input mass
def custom_imf(mass, time): # there is no time dependence for IGIMF
if mass < 0.08:
return 0
elif mass < 0.101:
return -881912095498.0004 * mass + 126349388048.4443
elif mass < 0.10201:
... | juzikongREPO_NAMEphotGalIMFPATH_START.@photGalIMF_extracted@photGalIMF-main@simulation_results_from_galaxy_evol@example@igimf_epoch_33.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/astropy/io/tests/__init__.py",
"type": "Python"
} | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@astropy@io@tests@__init__.py@.PATH_END.py | |
{
"filename": "README.md",
"repo_name": "tslearn-team/tslearn",
"repo_path": "tslearn_extracted/tslearn-main/README.md",
"type": "Markdown"
} | <!-- Our title -->
<div align="center">
<h3>tslearn </h3>
</div>
<!-- Short description -->
<p align="center">
The machine learning toolkit for time series analysis in Python
</p>
<!-- The badges -->
<p align="center">
<a href="https://badge.fury.io/py/tslearn">
<img alt="PyPI" src="https://badge.fur... | tslearn-teamREPO_NAMEtslearnPATH_START.@tslearn_extracted@tslearn-main@README.md@.PATH_END.py |
{
"filename": "_xpad.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatter3d/marker/colorbar/_xpad.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="xpad", parent_name="scatter3d.marker.colorbar", **kwargs
):
super(XpadValidator, self).__init__(
plotly_name=plotly_name,
parent_name=... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatter3d@marker@colorbar@_xpad.py@.PATH_END.py |
{
"filename": "_ambient.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/volume/lighting/_ambient.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class AmbientValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="ambient", parent_name="volume.lighting", **kwargs):
super(AmbientValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@volume@lighting@_ambient.py@.PATH_END.py |
{
"filename": "_showticklabels.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/surface/colorbar/_showticklabels.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="showticklabels", parent_name="surface.colorbar", **kwargs
):
super(ShowticklabelsValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@surface@colorbar@_showticklabels.py@.PATH_END.py |
{
"filename": "test_datatype.py",
"repo_name": "h5py/h5py",
"repo_path": "h5py_extracted/h5py-master/h5py/tests/test_datatype.py",
"type": "Python"
} | # This file is part of h5py, a Python interface to the HDF5 library.
#
# http://www.h5py.org
#
# Copyright 2008-2013 Andrew Collette and contributors
#
# License: Standard 3-clause BSD; see "license.txt" for full license terms
# and contributor agreement.
"""
File-resident datatype tests.
Tests "co... | h5pyREPO_NAMEh5pyPATH_START.@h5py_extracted@h5py-master@h5py@tests@test_datatype.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/scene/xaxis/autorangeoptions/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._minallowed import MinallowedValidator
from ._maxallowed import MaxallowedValidator
from ._includesrc import IncludesrcValidator
from ._include import IncludeValidator
from ._clipmin import ClipminValid... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@scene@xaxis@autorangeoptions@__init__.py@.PATH_END.py |
{
"filename": "test_representation.py",
"repo_name": "rhayes777/PyAutoFit",
"repo_path": "PyAutoFit_extracted/PyAutoFit-main/test_autofit/mapper/info/test_representation.py",
"type": "Python"
} | import autofit as af
from autofit.mapper.prior_model.representative import find_groups
def test_find_groups():
info_paths = [((i, 1), 2) for i in range(3)]
groups = find_groups(info_paths)
assert groups == [(("0 - 2", 1), 2)]
def test_two_groups():
info_paths = [((i, 1), 2) for i in range(3)] + [((i... | rhayes777REPO_NAMEPyAutoFitPATH_START.@PyAutoFit_extracted@PyAutoFit-main@test_autofit@mapper@info@test_representation.py@.PATH_END.py |
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