metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "test_tz_convert.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/indexes/datetimes/methods/test_tz_convert.py",
"type": "Python"
} | from datetime import datetime
import dateutil.tz
from dateutil.tz import gettz
import numpy as np
import pytest
from pandas._libs.tslibs import timezones
from pandas import (
DatetimeIndex,
Index,
NaT,
Timestamp,
date_range,
offsets,
)
import pandas._testing as tm
class TestTZConvert:
d... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@indexes@datetimes@methods@test_tz_convert.py@.PATH_END.py |
{
"filename": "run_episode.py",
"repo_name": "projectchrono/chrono",
"repo_path": "chrono_extracted/chrono-main/src/demos/python/chrono-tensorflow/PPO/run_episode.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Jan 26 11:36:45 2019
@author: simonebenatti
"""
import sys
sys.path.append('../envs')
import chtrain as gym
import numpy as np
from policy import Policy
from utils import Scaler
def run_parallel_episodes(arg):
total_steps = 0
... | projectchronoREPO_NAMEchronoPATH_START.@chrono_extracted@chrono-main@src@demos@python@chrono-tensorflow@PPO@run_episode.py@.PATH_END.py |
{
"filename": "_range.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/scene/yaxis/_range.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
def __init__(self, plotly_name="range", parent_name="layout.scene.yaxis", **kwargs):
super(RangeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@scene@yaxis@_range.py@.PATH_END.py |
{
"filename": "_maxallowed.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/scene/yaxis/_maxallowed.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MaxallowedValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(
self, plotly_name="maxallowed", parent_name="layout.scene.yaxis", **kwargs
):
super(MaxallowedValidator, self).__init__(
plotly_name=plotly_name,
pare... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@scene@yaxis@_maxallowed.py@.PATH_END.py |
{
"filename": "test_b1.py",
"repo_name": "nickhand/pyRSD",
"repo_path": "pyRSD_extracted/pyRSD-master/pyRSD/tests/test_qso_derivatives/test_b1.py",
"type": "Python"
} | from . import numdifftools, numpy as np
from pyRSD.rsd.power.qso.derivatives import dPqso_db1
NMU = 41
def test_partial(driver):
model = driver.theory.model
# get the deriv arguments
k = driver.data.combined_k
mu = np.linspace(0., 1., NMU)
# get the deriv arguments
k = driver.data.com... | nickhandREPO_NAMEpyRSDPATH_START.@pyRSD_extracted@pyRSD-master@pyRSD@tests@test_qso_derivatives@test_b1.py@.PATH_END.py |
{
"filename": "_xperiodalignment.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/funnel/_xperiodalignment.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XperiodalignmentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="xperiodalignment", parent_name="funnel", **kwargs):
super(XperiodalignmentValidator, self).__init__(
plotly_name=plotly_name,
paren... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@funnel@_xperiodalignment.py@.PATH_END.py |
{
"filename": "_name.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattersmith/_name.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="name", parent_name="scattersmith", **kwargs):
super(NameValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
ed... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattersmith@_name.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "keras-team/keras",
"repo_path": "keras_extracted/keras-master/keras/src/dtype_policies/__init__.py",
"type": "Python"
} | from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.dtype_policies import dtype_policy
from keras.src.dtype_policies.dtype_policy import QUANTIZATION_MODES
from keras.src.dtype_policies.dtype_policy import DTypePolicy
from keras.src.dtype_policies.dtype_policy import FloatDTypePol... | keras-teamREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@dtype_policies@__init__.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "gully/blase",
"repo_path": "blase_extracted/blase-main/README.md",
"type": "Markdown"
} | # blasé
Interpretable Machine Learning for high-resolution astronomical spectroscopy.
<a href="https://blase.readthedocs.io/en/latest/"><img src="https://img.shields.io/badge/Read-the%20docs-blue"></a>
<a href="https://ui.adsabs.harvard.edu/abs/2022ApJ...941..200G/abstract"><img src="https://img.shields.io/badge/Pape... | gullyREPO_NAMEblasePATH_START.@blase_extracted@blase-main@README.md@.PATH_END.py |
{
"filename": "_hovertemplatesrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/contour/_hovertemplatesrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="hovertemplatesrc", parent_name="contour", **kwargs):
super(HovertemplatesrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@contour@_hovertemplatesrc.py@.PATH_END.py |
{
"filename": "field_functions.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/fields/field_functions.py",
"type": "Python"
} | from collections.abc import Callable
from inspect import signature
import numpy as np
from yt.utilities.lib.misc_utilities import obtain_position_vector
def get_radius(data, field_prefix, ftype):
center = data.get_field_parameter("center").to("code_length")
DW = (data.ds.domain_right_edge - data.ds.domain_l... | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@fields@field_functions.py@.PATH_END.py |
{
"filename": "Basic example 5--resampling DES Y1.ipynb",
"repo_name": "tmcclintock/AReconstructionTool",
"repo_path": "AReconstructionTool_extracted/AReconstructionTool-master/notebooks/Basic example 5--resampling DES Y1.ipynb",
"type": "Jupyter Notebook"
} | # Resampling DES Y1
The DES Y1 3x2pt analysis is a tricky beast because it has SO many parameters (26). Samplers don't know the marginal likelihoods of only the interesting parameters (cosmology), and only ever report the joint posterior of all parameters given the data. For this reason, if we want to resample the DES... | tmcclintockREPO_NAMEAReconstructionToolPATH_START.@AReconstructionTool_extracted@AReconstructionTool-master@notebooks@Basic example 5--resampling DES Y1.ipynb@.PATH_END.py |
{
"filename": "hera_sim_tour.ipynb",
"repo_name": "HERA-Team/hera_sim",
"repo_path": "hera_sim_extracted/hera_sim-main/docs/tutorials/hera_sim_tour.ipynb",
"type": "Jupyter Notebook"
} | # Tour of hera_sim
This notebook briefly introduces some of the effects that can be modeled with `hera_sim`.
```python
%matplotlib inline
import uvtools
import numpy as np
import pylab as plt
from astropy.units import sday
from hera_sim import DATA_PATH
plt.rcParams["figure.figsize"] = [14, 8]
```
```python
from h... | HERA-TeamREPO_NAMEhera_simPATH_START.@hera_sim_extracted@hera_sim-main@docs@tutorials@hera_sim_tour.ipynb@.PATH_END.py |
{
"filename": "_variant.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/parcats/legendgrouptitle/font/_variant.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VariantValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="variant",
parent_name="parcats.legendgrouptitle.font",
**kwargs,
):
super(VariantValidator, self).__init__(
plotly_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@parcats@legendgrouptitle@font@_variant.py@.PATH_END.py |
{
"filename": "np_dtypes_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/ops/numpy_ops/np_dtypes_test.py",
"type": "Python"
} | # Copyright 2020 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@ops@numpy_ops@np_dtypes_test.py@.PATH_END.py |
{
"filename": "limpy_v2.ipynb",
"repo_name": "Anirbancosmo/limpy",
"repo_path": "limpy_extracted/limpy-master/examples/limpy_v2.ipynb",
"type": "Jupyter Notebook"
} | ```python
import camb
import numpy as np
import scipy.integrate as si
from camb import get_matter_power_interpolator
from colossus.cosmology import cosmology as col_cosmology
from colossus.lss import bias, mass_function
import limpy.cosmos as cosmos
import limpy.lines as ll
```
<---Parameters used in cosmo.py--->... | AnirbancosmoREPO_NAMElimpyPATH_START.@limpy_extracted@limpy-master@examples@limpy_v2.ipynb@.PATH_END.py |
{
"filename": "pixelmask.py",
"repo_name": "sdss/mangadap",
"repo_path": "mangadap_extracted/mangadap-main/mangadap/util/pixelmask.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
# -*- coding: utf-8 -*-
"""
A class hierarchy for pixel masks.
----
.. include license and copyright
.. include:: ../include/copy.rst
----
.. include common links, assuming primary doc root is up one directory
.. include:: ../include/links.rst
"""
impo... | sdssREPO_NAMEmangadapPATH_START.@mangadap_extracted@mangadap-main@mangadap@util@pixelmask.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "VMBoehm/MADLens",
"repo_path": "MADLens_extracted/MADLens-master/setup.py",
"type": "Python"
} | from setuptools import setup
setup(name='MADLens',
use_scm_version=True,
setup_requires=['setuptools_scm'],
description='a differentiable lensing simulator',
url='http://github.com/VMBoehm/MADLens',
author='Vanessa Martina Boehm',
author_email='vboehm@berkeley.edu',
license='G... | VMBoehmREPO_NAMEMADLensPATH_START.@MADLens_extracted@MADLens-master@setup.py@.PATH_END.py |
{
"filename": "tpu.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/tpu/tpu.py",
"type": "Python"
} | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@tpu@tpu.py@.PATH_END.py |
{
"filename": "test_samples.py",
"repo_name": "handley-lab/anesthetic",
"repo_path": "anesthetic_extracted/anesthetic-master/tests/test_samples.py",
"type": "Python"
} | import anesthetic.examples._matplotlib_agg # noqa: F401
import pytest
from contextlib import nullcontext
from math import floor, ceil
import numpy as np
from pandas import MultiIndex
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
from matplotlib.patches import Rectangle
from anesthetic.weighted_p... | handley-labREPO_NAMEanestheticPATH_START.@anesthetic_extracted@anesthetic-master@tests@test_samples.py@.PATH_END.py |
{
"filename": "test_csr.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py3/scipy/sparse/tests/test_csr.py",
"type": "Python"
} | import numpy as np
from numpy.testing import assert_array_almost_equal, assert_
from scipy.sparse import csr_matrix, hstack
import pytest
def _check_csr_rowslice(i, sl, X, Xcsr):
np_slice = X[i, sl]
csr_slice = Xcsr[i, sl]
assert_array_almost_equal(np_slice, csr_slice.toarray()[0])
assert_(type(csr_sl... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py3@scipy@sparse@tests@test_csr.py@.PATH_END.py |
{
"filename": "license.md",
"repo_name": "golmschenk/eesunhong",
"repo_path": "eesunhong_extracted/eesunhong-main/third_party/minuit/license.md",
"type": "Markdown"
} | GNU Lesser General Public License
=================================
_Version 2.1, February 1999_
_Copyright © 1991, 1999 Free Software Foundation, Inc._
_51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA_
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changin... | golmschenkREPO_NAMEeesunhongPATH_START.@eesunhong_extracted@eesunhong-main@third_party@minuit@license.md@.PATH_END.py |
{
"filename": "prizmo_main.py",
"repo_name": "tgrassi/prizmo",
"repo_path": "prizmo_extracted/prizmo-main/src_py/prizmo_main.py",
"type": "Python"
} | from prizmo_commons import print_title
from prizmo_preprocess import preprocess
import os
def prepare(H2_inc, CO_inc):
print_title("main")
if not os.path.isfile("../main.f90"):
print("skipping, main.f90 file not found")
return
update_code = ""
if H2_inc:
preprocess("../main.f... | tgrassiREPO_NAMEprizmoPATH_START.@prizmo_extracted@prizmo-main@src_py@prizmo_main.py@.PATH_END.py |
{
"filename": "_autotypenumbers.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/scene/zaxis/_autotypenumbers.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class AutotypenumbersValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="autotypenumbers", parent_name="layout.scene.zaxis", **kwargs
):
super(AutotypenumbersValidator, self).__init__(
plotly_name=plotly_... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@scene@zaxis@_autotypenumbers.py@.PATH_END.py |
{
"filename": "image.py",
"repo_name": "GalSim-developers/GalSim",
"repo_path": "GalSim_extracted/GalSim-main/galsim/image.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@image.py@.PATH_END.py |
{
"filename": "get_colors.py",
"repo_name": "annayqho/TheCannon",
"repo_path": "TheCannon_extracted/TheCannon-master/code/lamost/mass_age/cn/get_colors.py",
"type": "Python"
} | import pyfits
import numpy as np
def get_colors(catalog):
"""
Pull colors from catalog
Parameters
----------
catalog: filename
"""
print("Get Colors")
a = pyfits.open(catalog)
data = a[1].data
a.close()
all_ids = data['LAMOST_ID_1']
all_ids = np.array([val.strip() for ... | annayqhoREPO_NAMETheCannonPATH_START.@TheCannon_extracted@TheCannon-master@code@lamost@mass_age@cn@get_colors.py@.PATH_END.py |
{
"filename": "searchapi.ipynb",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/docs/docs/integrations/tools/searchapi.ipynb",
"type": "Jupyter Notebook"
} | # SearchApi
This notebook shows examples of how to use SearchApi to search the web. Go to [https://www.searchapi.io/](https://www.searchapi.io/) to sign up for a free account and get API key.
```python
import os
os.environ["SEARCHAPI_API_KEY"] = ""
```
```python
from langchain_community.utilities import SearchApi... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@docs@docs@integrations@tools@searchapi.ipynb@.PATH_END.py |
{
"filename": "merge_FITS_masks.py",
"repo_name": "IanHeywood/oxkat",
"repo_path": "oxkat_extracted/oxkat-master/tools/merge_FITS_masks.py",
"type": "Python"
} | #!/usr/bin/env python
# ian.heywood@physics.ox.ac.uk
from astropy.io import fits
import numpy
import random
from scipy.ndimage.morphology import binary_dilation
import shutil
import sys
def genhex():
ran = random.randrange(10**80)
myhex = "%064x" % ran
myhex = myhex[:32]
return myhex
def getImage(... | IanHeywoodREPO_NAMEoxkatPATH_START.@oxkat_extracted@oxkat-master@tools@merge_FITS_masks.py@.PATH_END.py |
{
"filename": "_y.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/contour/_y.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="y", parent_name="contour", **kwargs):
super(YValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwa... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@contour@_y.py@.PATH_END.py |
{
"filename": "conftest.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/text-splitters/tests/unit_tests/conftest.py",
"type": "Python"
} | """Configuration for unit tests."""
from importlib import util
from typing import Dict, Sequence
import pytest
from pytest import Config, Function, Parser
def pytest_addoption(parser: Parser) -> None:
"""Add custom command line options to pytest."""
parser.addoption(
"--only-extended",
actio... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@text-splitters@tests@unit_tests@conftest.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "JLBLine/WODEN",
"repo_path": "WODEN_extracted/WODEN-master/wodenpy/array_layout/__init__.py",
"type": "Python"
} | JLBLineREPO_NAMEWODENPATH_START.@WODEN_extracted@WODEN-master@wodenpy@array_layout@__init__.py@.PATH_END.py | |
{
"filename": "stopping_conditions.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/src/amuse/community/interface/stopping_conditions.py",
"type": "Python"
} | from amuse.units import units, generic_unit_system
from amuse.units import nbody_system as nbody
from amuse.support.exceptions import AmuseException
from amuse.rfi.core import legacy_function
from amuse.rfi.core import LegacyFunctionSpecification
class StoppingConditionInterface:
@legacy_function
def has_sto... | amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@src@amuse@community@interface@stopping_conditions.py@.PATH_END.py |
{
"filename": "_size.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/newshape/legendgrouptitle/font/_size.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="size",
parent_name="layout.newshape.legendgrouptitle.font",
**kwargs,
):
super(SizeValidator, self).__init__(
plotly_name=... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@newshape@legendgrouptitle@font@_size.py@.PATH_END.py |
{
"filename": "main.py",
"repo_name": "cdslaborg/paramonte",
"repo_path": "paramonte_extracted/paramonte-main/benchmark/fortran/pm_distNorm/setNormRandBox_Basic_vs_Polar/main.py",
"type": "Python"
} | #!/usr/bin/env python
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import os
dirname = os.path.basename(os.getcwd())
fontsize = 14
df = pd.read_csv("main.out", delimiter = ",")
colnames = list(df.columns.values)
############################################################################... | cdslaborgREPO_NAMEparamontePATH_START.@paramonte_extracted@paramonte-main@benchmark@fortran@pm_distNorm@setNormRandBox_Basic_vs_Polar@main.py@.PATH_END.py |
{
"filename": "headers.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/tools/python3/Lib/wsgiref/headers.py",
"type": "Python"
} | """Manage HTTP Response Headers
Much of this module is red-handedly pilfered from email.message in the stdlib,
so portions are Copyright (C) 2001,2002 Python Software Foundation, and were
written by Barry Warsaw.
"""
# Regular expression that matches `special' characters in parameters, the
# existence of which force ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@tools@python3@Lib@wsgiref@headers.py@.PATH_END.py |
{
"filename": "jackknife_weights.py",
"repo_name": "oliverphilcox/RascalC",
"repo_path": "RascalC_extracted/RascalC-master/python/jackknife_weights.py",
"type": "Python"
} | ## Script to generate RR pair counts from a given set of random particles. This is based on the Corrfunc code of Sinha & Garrison.
## Weights and weighted pair counts are saved in the ../weight_files/ subdirectory.
## If the periodic flag is set, we assume a periodic simulation and measure mu from the Z-axis.
import ... | oliverphilcoxREPO_NAMERascalCPATH_START.@RascalC_extracted@RascalC-master@python@jackknife_weights.py@.PATH_END.py |
{
"filename": "translator_test_client.py",
"repo_name": "icrar/daliuge",
"repo_path": "daliuge_extracted/daliuge-master/OpenAPI/tests/translator_test_client.py",
"type": "Python"
} | import sys
import translator_client as tc
translator_config = tc.Configuration()
translator_config.host = "localhost:8084"
with open(sys.argv[1], "rt") as f:
graph = f.read()
with tc.ApiClient(translator_config) as translator_client:
translator = tc.DefaultApi(translator_client)
html_content = translato... | icrarREPO_NAMEdaliugePATH_START.@daliuge_extracted@daliuge-master@OpenAPI@tests@translator_test_client.py@.PATH_END.py |
{
"filename": "womjoin.py",
"repo_name": "msiebert1/UCSC_spectral_pipeline",
"repo_path": "UCSC_spectral_pipeline_extracted/UCSC_spectral_pipeline-master/spectral_reduction/tmath/wombat/womjoin.py",
"type": "Python"
} | def womjoin(hop):
"""join two spectra that abut in wavelength"""
import numpy as np
import logging
from tmath.wombat.inputter import inputter
from tmath.wombat import HOPSIZE
print('\nThis will join two hoppers (with no overlap)\n')
hopnum1=0
hopnum2=0
while (hopnum1 < 1) or (hopnum1... | msiebert1REPO_NAMEUCSC_spectral_pipelinePATH_START.@UCSC_spectral_pipeline_extracted@UCSC_spectral_pipeline-master@spectral_reduction@tmath@wombat@womjoin.py@.PATH_END.py |
{
"filename": "core.py",
"repo_name": "adrn/gala",
"repo_path": "gala_extracted/gala-main/gala/potential/frame/core.py",
"type": "Python"
} | __all__ = ['FrameBase']
# This package
from ..common import CommonBase
class FrameBase(CommonBase):
ndim = 3
def __init__(self, *args, units=None, **kwargs):
parameter_values = self._parse_parameter_values(*args, **kwargs)
self._setup_frame(parameters=parameter_values,
... | adrnREPO_NAMEgalaPATH_START.@gala_extracted@gala-main@gala@potential@frame@core.py@.PATH_END.py |
{
"filename": "glossary.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/numpy/doc/glossary.py",
"type": "Python"
} | """
========
Glossary
========
.. glossary::
along an axis
Axes are defined for arrays with more than one dimension. A
2-dimensional array has two corresponding axes: the first running
vertically downwards across rows (axis 0), and the second running
horizontally across columns (axis 1... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@numpy@doc@glossary.py@.PATH_END.py |
{
"filename": "2022_10_19_093542_fa319f214160_add_created_by.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/src/prefect/server/database/_migrations/versions/sqlite/2022_10_19_093542_fa319f214160_add_created_by.py",
"type": "Python"
} | """add_created_by
Revision ID: fa319f214160
Revises: ad4b1b4d1e9d
Create Date: 2022-10-19 09:35:42.371899
"""
import sqlalchemy as sa
from alembic import op
import prefect
# revision identifiers, used by Alembic.
revision = "fa319f214160"
down_revision = "ad4b1b4d1e9d"
branch_labels = None
depends_on = None
def ... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@src@prefect@server@database@_migrations@versions@sqlite@2022_10_19_093542_fa319f214160_add_created_by.py@.PATH_END.py |
{
"filename": "fm.py",
"repo_name": "meganmansfield/IGRINS_transit",
"repo_path": "IGRINS_transit_extracted/IGRINS_transit-main/retrieval_set_up/fm.py",
"type": "Python"
} | import math as mth
import math
import numpy as np
import scipy as sp
from array import *
from scipy import interpolate
from scipy import signal
from scipy import special
from scipy import interp
from scipy import ndimage
import pdb
import datetime
import pickle
from scipy import constants
from numba import jit
from num... | meganmansfieldREPO_NAMEIGRINS_transitPATH_START.@IGRINS_transit_extracted@IGRINS_transit-main@retrieval_set_up@fm.py@.PATH_END.py |
{
"filename": "test_prims.py",
"repo_name": "rapidsai/cuml",
"repo_path": "cuml_extracted/cuml-main/python/cuml/cuml/tests/test_prims.py",
"type": "Python"
} | # Copyright (c) 2019-2023, NVIDIA CORPORATION.
#
# 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 agre... | rapidsaiREPO_NAMEcumlPATH_START.@cuml_extracted@cuml-main@python@cuml@cuml@tests@test_prims.py@.PATH_END.py |
{
"filename": "population.py",
"repo_name": "TRASAL/frbpoppy",
"repo_path": "frbpoppy_extracted/frbpoppy-master/frbpoppy/population.py",
"type": "Python"
} | """Define a class to hold a population of FRBs."""
import os
import dill as pickle
import numpy as np
from copy import deepcopy
from frbpoppy.paths import paths
from frbpoppy.frbs import FRBs
class Population:
"""Class to hold a population of FRBs."""
def __init__(self):
"""Initializing."""
... | TRASALREPO_NAMEfrbpoppyPATH_START.@frbpoppy_extracted@frbpoppy-master@frbpoppy@population.py@.PATH_END.py |
{
"filename": "_colorscale.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatter3d/line/_colorscale.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
def __init__(
self, plotly_name="colorscale", parent_name="scatter3d.line", **kwargs
):
super(ColorscaleValidator, self).__init__(
plotly_name=plotly_name,
p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatter3d@line@_colorscale.py@.PATH_END.py |
{
"filename": "tutorial.ipynb",
"repo_name": "tingyuansen/binspec_plus",
"repo_path": "binspec_plus_extracted/binspec_plus-master/tutorial.ipynb",
"type": "Jupyter Notebook"
} | ** This file gives a brief overview of the capabilities of the code. **
* If you want to predict the spectrum of a single or binary star with particular labels, you'll want the "spectral_model" package.
* If you want to fit an observed spectrum, see the "fitting" package.
* Downloading and processing APOGEE spectra is... | tingyuansenREPO_NAMEbinspec_plusPATH_START.@binspec_plus_extracted@binspec_plus-master@tutorial.ipynb@.PATH_END.py |
{
"filename": "_xhoverformat.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/isosurface/_xhoverformat.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XhoverformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="xhoverformat", parent_name="isosurface", **kwargs):
super(XhoverformatValidator, self).__init__(
plotly_name=plotly_name,
parent_name=paren... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@isosurface@_xhoverformat.py@.PATH_END.py |
{
"filename": "gexceptions.py",
"repo_name": "esheldon/ngmix",
"repo_path": "ngmix_extracted/ngmix-master/ngmix/gexceptions.py",
"type": "Python"
} | class NGmixBaseException(Exception):
"""Base exception class for ngmix"""
def __init__(self, value):
super(NGmixBaseException, self).__init__(value)
self.value = value
def __str__(self):
return repr(self.value)
class GMixRangeError(NGmixBaseException):
"""
Some number was ... | esheldonREPO_NAMEngmixPATH_START.@ngmix_extracted@ngmix-master@ngmix@gexceptions.py@.PATH_END.py |
{
"filename": "SpectralEnergyDistributionsInSplusDr1.ipynb",
"repo_name": "astro-datalab/notebooks-latest",
"repo_path": "notebooks-latest_extracted/notebooks-latest-master/03_ScienceExamples/SpectralEnergyDistributions/SpectralEnergyDistributionsInSplusDr1.ipynb",
"type": "Jupyter Notebook"
} | ```python
__nbid__ = '0028'
__author__ = 'David Nidever <david.nidever@noirlab.edu>, Astro Data Lab Team <datalab@noirlab.edu>'
__version__ = '20240606' # yyymmdd
__datasets__ = ['splus_dr1']
__keywords__ = ['science example', 'plot:cmd', 'plot:color-color', 'image cutout']
```
# Spectral Energy Distributions with S-P... | astro-datalabREPO_NAMEnotebooks-latestPATH_START.@notebooks-latest_extracted@notebooks-latest-master@03_ScienceExamples@SpectralEnergyDistributions@SpectralEnergyDistributionsInSplusDr1.ipynb@.PATH_END.py |
{
"filename": "pytables.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/io/pytables.py",
"type": "Python"
} | """
High level interface to PyTables for reading and writing pandas data structures
to disk
"""
from __future__ import annotations
from contextlib import suppress
import copy
from datetime import (
date,
tzinfo,
)
import itertools
import os
import re
from textwrap import dedent
from typing import (
TYPE_C... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@io@pytables.py@.PATH_END.py |
{
"filename": "_showocean.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/geo/_showocean.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowoceanValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="showocean", parent_name="layout.geo", **kwargs):
super(ShowoceanValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@geo@_showocean.py@.PATH_END.py |
{
"filename": "_showtickprefix.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/contourcarpet/colorbar/_showtickprefix.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="showtickprefix",
parent_name="contourcarpet.colorbar",
**kwargs
):
super(ShowtickprefixValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@contourcarpet@colorbar@_showtickprefix.py@.PATH_END.py |
{
"filename": "_thickness.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/surface/colorbar/_thickness.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="thickness", parent_name="surface.colorbar", **kwargs
):
super(ThicknessValidator, self).__init__(
plotly_name=plotly_name,
parent... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@surface@colorbar@_thickness.py@.PATH_END.py |
{
"filename": "test_setup.py",
"repo_name": "ucberkeleyseti/blimpy",
"repo_path": "blimpy_extracted/blimpy-master/tests/test_setup.py",
"type": "Python"
} | r""" Testspectra_gen functions"""
def test_setup():
import os
cmd = "python3 setup.py check"
os.system(cmd) | ucberkeleysetiREPO_NAMEblimpyPATH_START.@blimpy_extracted@blimpy-master@tests@test_setup.py@.PATH_END.py |
{
"filename": "_name.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/densitymap/_name.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="name", parent_name="densitymap", **kwargs):
super(NameValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@densitymap@_name.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "maho3/ltu-ili",
"repo_path": "ltu-ili_extracted/ltu-ili-main/ili/__init__.py",
"type": "Python"
} | from .dataloaders import *
from .inference import *
from .utils import *
from .validation import *
try:
from .embedding import *
except ModuleNotFoundError:
pass
| maho3REPO_NAMEltu-iliPATH_START.@ltu-ili_extracted@ltu-ili-main@ili@__init__.py@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/pure-eval/pure_eval/utils.py",
"type": "Python"
} | from collections import OrderedDict, deque
from datetime import date, time, datetime
from decimal import Decimal
from fractions import Fraction
import ast
import enum
import typing
class CannotEval(Exception):
def __repr__(self):
return self.__class__.__name__
__str__ = __repr__
def is_any(x, *args... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@pure-eval@pure_eval@utils.py@.PATH_END.py |
{
"filename": "ContentEnd.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/lite/g3doc/api_docs/python/tflite_support/metadata_schema_py_generated/ContentEnd.md",
"type": "Markdown"
} | page_type: reference
<link rel="stylesheet" href="/site-assets/css/style.css">
<!-- DO NOT EDIT! Automatically generated file. -->
<div itemscope itemtype="http://developers.google.com/ReferenceObject">
<meta itemprop="name" content="tflite_support.metadata_schema_py_generated.ContentEnd" />
<meta itemprop="path" co... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@lite@g3doc@api_docs@python@tflite_support@metadata_schema_py_generated@ContentEnd.md@.PATH_END.py |
{
"filename": "table_wide.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/wcwidth/py2/wcwidth/table_wide.py",
"type": "Python"
} | """
Exports WIDE_EASTASIAN table keyed by supporting unicode version level.
This code generated by wcwidth/bin/update-tables.py on 2024-01-06 01:39:49 UTC.
"""
WIDE_EASTASIAN = {
'4.1.0': (
# Source: EastAsianWidth-4.1.0.txt
# Date: 2005-03-17, 15:21:00 PST [KW]
#
(0x01100, 0x01159,... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@wcwidth@py2@wcwidth@table_wide.py@.PATH_END.py |
{
"filename": "InstrumentDescription.py",
"repo_name": "cta-observatory/ctapipe",
"repo_path": "ctapipe_extracted/ctapipe-main/examples/core/InstrumentDescription.py",
"type": "Python"
} | """
Working with Instrumental Descriptions
======================================
the instrumental description is loaded by the event source, and consists
of a hierarchy of classes in the ctapipe.instrument module, the base of
which is the ``SubarrayDescription``
"""
from astropy.coordinates import SkyCoord
from ct... | cta-observatoryREPO_NAMEctapipePATH_START.@ctapipe_extracted@ctapipe-main@examples@core@InstrumentDescription.py@.PATH_END.py |
{
"filename": "rawfibers.py",
"repo_name": "danielrd6/ifscube",
"repo_path": "ifscube_extracted/ifscube-master/ifscube/rawfibers.py",
"type": "Python"
} | from astropy.io import fits
import numpy as np
import matplotlib.pyplot as plt
class Cube:
def __init__(self, fitsfile):
hdu = fits.open(fitsfile)
self.data = hdu['sci'].data
self._full_mdf = hdu['mdf'].data
# Valid apertures, which must equal the number of lines
# in th... | danielrd6REPO_NAMEifscubePATH_START.@ifscube_extracted@ifscube-master@ifscube@rawfibers.py@.PATH_END.py |
{
"filename": "test_argcomplete.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/traitlets/py3/tests/config/test_argcomplete.py",
"type": "Python"
} | """
Tests for argcomplete handling by traitlets.config.application.Application
"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
from __future__ import annotations
import io
import os
import typing as t
import pytest
argcomplete = pytest.importorskip("argcomple... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@traitlets@py3@tests@config@test_argcomplete.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/packages/amuse-kepler/setup.py",
"type": "Python"
} | #!/usr/bin/env python3
from support.classifiers import classifiers
from setuptools import setup
import support
support.use("system")
from support.setup_codes import setup_commands
name = 'amuse-kepler'
author = 'The AMUSE team'
author_email = 'info@amusecode.org'
license_ = "Apache License 2.0"
url = 'http://www.amu... | amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@packages@amuse-kepler@setup.py@.PATH_END.py |
{
"filename": "_tickfont.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/bar/marker/colorbar/_tickfont.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Tickfont(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "bar.marker.colorbar"
_path_str = "bar.marker.colorbar.tickfont"
_valid_props = {
"... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@bar@marker@colorbar@_tickfont.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "jlustigy/coronagraph",
"repo_path": "coronagraph_extracted/coronagraph-master/setup.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import division, print_function, absolute_import
from setuptools import setup
# Hackishly inject a constant into builtins to enable importing of the
# module in "setup" mode. Stolen from `kplr`
import sys
if sys.version_info[0] < 3:
import __builtin__ ... | jlustigyREPO_NAMEcoronagraphPATH_START.@coronagraph_extracted@coronagraph-master@setup.py@.PATH_END.py |
{
"filename": "_textfont.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/heatmap/_textfont.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="textfont", parent_name="heatmap", **kwargs):
super(TextfontValidator, 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@heatmap@_textfont.py@.PATH_END.py |
{
"filename": "custom_instrument_example.py",
"repo_name": "AWehrhahn/PyReduce",
"repo_path": "PyReduce_extracted/PyReduce-master/examples/custom_instrument_example.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Simple usage example for PyReduce
Loads a sample UVES dataset, and runs the full extraction
"""
import os.path
import pyreduce
from pyreduce.configuration import get_configuration_for_instrument
from pyreduce.instruments.common import create_custom_instrument
from pyreduce.reduce import Re... | AWehrhahnREPO_NAMEPyReducePATH_START.@PyReduce_extracted@PyReduce-master@examples@custom_instrument_example.py@.PATH_END.py |
{
"filename": "geometry.ipynb",
"repo_name": "rtazaki1205/AggScatVIR",
"repo_path": "AggScatVIR_extracted/AggScatVIR-master/docs/geometry.ipynb",
"type": "Jupyter Notebook"
} | # Visualization of Particles
This database already contains visualization images of particles rendered using POV-RAY. However, you may wish to change rendering parameters, such as particle and background colors, reference scale, particle orientation ... etc. To meet up needs, the `aggscatpy` package implements a sim... | rtazaki1205REPO_NAMEAggScatVIRPATH_START.@AggScatVIR_extracted@AggScatVIR-master@docs@geometry.ipynb@.PATH_END.py |
{
"filename": "_ypad.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattercarpet/marker/colorbar/_ypad.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="ypad", parent_name="scattercarpet.marker.colorbar", **kwargs
):
super(YpadValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattercarpet@marker@colorbar@_ypad.py@.PATH_END.py |
{
"filename": "test_abscal.py",
"repo_name": "HERA-Team/hera_cal",
"repo_path": "hera_cal_extracted/hera_cal-main/hera_cal/tests/test_abscal.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# Copyright 2019 the HERA Project
# Licensed under the MIT License
import pytest
import os
from scipy import constants
import numpy as np
import sys
from collections import OrderedDict as odict
import copy
import glob
from pyuvdata import UVCal, UVData
import warnings
from hera_sim.antpos impor... | HERA-TeamREPO_NAMEhera_calPATH_START.@hera_cal_extracted@hera_cal-main@hera_cal@tests@test_abscal.py@.PATH_END.py |
{
"filename": "authurls.py",
"repo_name": "astropy/pyvo",
"repo_path": "pyvo_extracted/pyvo-main/pyvo/auth/authurls.py",
"type": "Python"
} | import collections
import logging
from . import securitymethods
__all__ = ["AuthURLs"]
class AuthURLs():
"""
AuthURLs helps determine which security method should be used
with a given URL. It learns the security methods through the
VOSI capabilities, which are passed in via update_from_capabilities... | astropyREPO_NAMEpyvoPATH_START.@pyvo_extracted@pyvo-main@pyvo@auth@authurls.py@.PATH_END.py |
{
"filename": "test_synthetic_data.py",
"repo_name": "lightkurve/lightkurve",
"repo_path": "lightkurve_extracted/lightkurve-main/tests/test_synthetic_data.py",
"type": "Python"
} | """Use synthetic data to verify lightkurve detrending and signal recovery.
"""
from __future__ import division, print_function
from astropy.utils.data import get_pkg_data_filename
from astropy.timeseries import BoxLeastSquares
import numpy as np
import pytest
from scipy import stats
from lightkurve.targetpixelfile i... | lightkurveREPO_NAMElightkurvePATH_START.@lightkurve_extracted@lightkurve-main@tests@test_synthetic_data.py@.PATH_END.py |
{
"filename": "classification.py",
"repo_name": "samuelperezdi/umlcaxs",
"repo_path": "umlcaxs_extracted/umlcaxs-main/classification.py",
"type": "Python"
} | from umlcaxs_lib import lognorm, mahal_classifier_all
import pandas as pd
# Feature definitions
features = ['hard_hm', 'hard_hs', 'hard_ms', 'powlaw_gamma', 'bb_kt',
'var_prob_b', 'var_ratio_b', 'var_prob_h', 'var_ratio_h',
'var_prob_s', 'var_ratio_s', 'var_newq_b']
features_lognorm = ['bb_kt',... | samuelperezdiREPO_NAMEumlcaxsPATH_START.@umlcaxs_extracted@umlcaxs-main@classification.py@.PATH_END.py |
{
"filename": "los_pvd_vs_rp.py",
"repo_name": "astropy/halotools",
"repo_path": "halotools_extracted/halotools-master/halotools/mock_observables/pairwise_velocities/los_pvd_vs_rp.py",
"type": "Python"
} | r"""
Module containing the `~halotools.mock_observables.los_pvd_vs_rp` function
used to calculate the pairwise line-of-sight velocity dispersion
as a function of projected distance between the pairs.
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
from .pairw... | astropyREPO_NAMEhalotoolsPATH_START.@halotools_extracted@halotools-master@halotools@mock_observables@pairwise_velocities@los_pvd_vs_rp.py@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "ThomasHelfer/multimodal-supernovae",
"repo_path": "multimodal-supernovae_extracted/multimodal-supernovae-main/src/utils.py",
"type": "Python"
} | import os
from typing import List, Optional
from pytorch_lightning import LightningModule, Trainer
from pytorch_lightning.callbacks import Callback
import torch
import numpy as np
from torch.utils.data import DataLoader
from typing import Tuple, List, Dict, Any
from matplotlib import pyplot as plt
from ruamel.yaml impo... | ThomasHelferREPO_NAMEmultimodal-supernovaePATH_START.@multimodal-supernovae_extracted@multimodal-supernovae-main@src@utils.py@.PATH_END.py |
{
"filename": "flagging.py",
"repo_name": "realfastvla/rfpipe",
"repo_path": "rfpipe_extracted/rfpipe-main/rfpipe/flagging.py",
"type": "Python"
} | from __future__ import print_function, division, absolute_import, unicode_literals
from builtins import bytes, dict, object, range, map, input, str
from future.utils import itervalues, viewitems, iteritems, listvalues, listitems
import numpy as np
from numba import jit
from rfpipe import util
import logging
logger = ... | realfastvlaREPO_NAMErfpipePATH_START.@rfpipe_extracted@rfpipe-main@rfpipe@flagging.py@.PATH_END.py |
{
"filename": "mcmc_kernel.py",
"repo_name": "pyro-ppl/pyro",
"repo_path": "pyro_extracted/pyro-master/pyro/infer/mcmc/mcmc_kernel.py",
"type": "Python"
} | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
from abc import ABCMeta, abstractmethod
class MCMCKernel(object, metaclass=ABCMeta):
def setup(self, warmup_steps, *args, **kwargs):
r"""
Optional method to set up any state required at the start of the
... | pyro-pplREPO_NAMEpyroPATH_START.@pyro_extracted@pyro-master@pyro@infer@mcmc@mcmc_kernel.py@.PATH_END.py |
{
"filename": "_stream.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/surface/_stream.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="stream", parent_name="surface", **kwargs):
super(StreamValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@surface@_stream.py@.PATH_END.py |
{
"filename": "download_regression_models.py",
"repo_name": "sxs-collaboration/gwsurrogate",
"repo_path": "gwsurrogate_extracted/gwsurrogate-master/test/download_regression_models.py",
"type": "Python"
} | """ download all models to be tested in test_model_regression.py
This is useful to do when using continuous integration. """
import gwsurrogate as gws
import hashlib, os
def md5(fname):
""" Compute has from file. code taken from
https://stackoverflow.com/questions/3431825/generating-an-md5-checksum-of-a-file"""... | sxs-collaborationREPO_NAMEgwsurrogatePATH_START.@gwsurrogate_extracted@gwsurrogate-master@test@download_regression_models.py@.PATH_END.py |
{
"filename": "clickup.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/utilities/clickup.py",
"type": "Python"
} | """Util that calls clickup."""
import json
import warnings
from dataclasses import asdict, dataclass, fields
from typing import Any, Dict, List, Mapping, Optional, Tuple, Type, Union
import requests
from langchain_core.utils import get_from_dict_or_env
from pydantic import BaseModel, ConfigDict, model_validator
DEFA... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@utilities@clickup.py@.PATH_END.py |
{
"filename": "OConnor_2013.ipynb",
"repo_name": "SNEWS2/snewpy",
"repo_path": "snewpy_extracted/snewpy-main/doc/nb/ccsn/OConnor_2013.ipynb",
"type": "Jupyter Notebook"
} | # O'Connor 2013 Models
Data from O'Connor & Ott 2013, 32 progenitors (Woosley and Heger 2007) and 2 EOS (LS220 and HShen) for 500 ms post bounce in spherical symmetry (no explosions)
Reference: O'Connor and Ott ApJ 762 126 2013
- [doi:10.1088/0004-637X/762/2/126](https://doi.org/10.1088/0004-637X/762/2/126)
- [arXi... | SNEWS2REPO_NAMEsnewpyPATH_START.@snewpy_extracted@snewpy-main@doc@nb@ccsn@OConnor_2013.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "fchollet/keras",
"repo_path": "keras_extracted/keras-master/keras/api/_tf_keras/keras/preprocessing/image/__init__.py",
"type": "Python"
} | """DO NOT EDIT.
This file was autogenerated. Do not edit it by hand,
since your modifications would be overwritten.
"""
from keras.src.legacy.preprocessing.image import DirectoryIterator
from keras.src.legacy.preprocessing.image import ImageDataGenerator
from keras.src.legacy.preprocessing.image import Iterator
from ... | fcholletREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@api@_tf_keras@keras@preprocessing@image@__init__.py@.PATH_END.py |
{
"filename": "lbl_wrap.py",
"repo_name": "njcuk9999/lbl",
"repo_path": "lbl_extracted/lbl-main/lbl/recipes/lbl_wrap.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
# CODE NAME HERE
# CODE DESCRIPTION HERE
Created on 2021-03-19
@author: cook
"""
import sys
from lbl.core import base
from lbl.core import base_classes
from lbl.core import io
from lbl.recipes import lbl_compile
from lbl.recipes import lbl_compute
from lbl.recipes i... | njcuk9999REPO_NAMElblPATH_START.@lbl_extracted@lbl-main@lbl@recipes@lbl_wrap.py@.PATH_END.py |
{
"filename": "style_widget.py",
"repo_name": "spacetelescope/jdaviz",
"repo_path": "jdaviz_extracted/jdaviz-main/jdaviz/core/style_widget.py",
"type": "Python"
} | from ipyvuetify import VuetifyTemplate
__all__ = ['StyleWidget']
class StyleWidget(VuetifyTemplate):
def __init__(self, template_file, *args, **kwargs):
self.template_file = template_file
super().__init__(*args, **kwargs)
| spacetelescopeREPO_NAMEjdavizPATH_START.@jdaviz_extracted@jdaviz-main@jdaviz@core@style_widget.py@.PATH_END.py |
{
"filename": "_legendgrouptitle.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/box/_legendgrouptitle.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LegendgrouptitleValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="legendgrouptitle", parent_name="box", **kwargs):
super(LegendgrouptitleValidator, self).__init__(
plotly_name=plotly_name,
parent_nam... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@box@_legendgrouptitle.py@.PATH_END.py |
{
"filename": "tuningOptimization.py",
"repo_name": "tjlcbakx/redshift-search-graphs",
"repo_path": "redshift-search-graphs_extracted/redshift-search-graphs-master/tuningOptimization.py",
"type": "Python"
} | ##-----------------------------------------
## Code written and edited by Tom Bakx
## tjlcbakx@gmail.com
##-----------------------------------------
##-----------------------------------------
## Header imports, colours
##-----------------------------------------
import numpy as np
import matplotlib.pyplot as plt
im... | tjlcbakxREPO_NAMEredshift-search-graphsPATH_START.@redshift-search-graphs_extracted@redshift-search-graphs-master@tuningOptimization.py@.PATH_END.py |
{
"filename": "functional.py",
"repo_name": "halomod/halomod",
"repo_path": "halomod_extracted/halomod-main/src/halomod/functional.py",
"type": "Python"
} | r"""Module defining functional approaches to generating halo model quantities."""
from __future__ import annotations
from hmf import Framework, get_hmf
from .halo_model import HaloModel
def get_halomodel(
required_attrs, get_label=True, kls=HaloModel, fast_kwargs: dict | None = None, **kwargs
) -> list[Framewo... | halomodREPO_NAMEhalomodPATH_START.@halomod_extracted@halomod-main@src@halomod@functional.py@.PATH_END.py |
{
"filename": "test_ivp.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/integrate/_ivp/tests/test_ivp.py",
"type": "Python"
} | from itertools import product
from numpy.testing import (assert_, assert_allclose, assert_array_less,
assert_equal, assert_no_warnings, suppress_warnings)
import pytest
from pytest import raises as assert_raises
import numpy as np
from scipy.optimize._numdiff import group_columns
from scipy.i... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@integrate@_ivp@tests@test_ivp.py@.PATH_END.py |
{
"filename": "core_correlation_pytorch.py",
"repo_name": "leungcalvin/pyfx-public",
"repo_path": "pyfx-public_extracted/pyfx-public-main/src/pyfx/core_correlation_pytorch.py",
"type": "Python"
} | """
Identical to core_correlation, but uses gpus. Still W.I.P.
Fringestops station B to station A and cross correlates baseband data from station A and B.
Written by Shion Andrew
"""
import numpy as np
from astropy.time import Time, TimeDelta
from decimal import Decimal
import astropy.units as un
import time
from ... | leungcalvinREPO_NAMEpyfx-publicPATH_START.@pyfx-public_extracted@pyfx-public-main@src@pyfx@core_correlation_pytorch.py@.PATH_END.py |
{
"filename": "do_signal_llhs_quick.py",
"repo_name": "Swift-BAT/NITRATES",
"repo_path": "NITRATES_extracted/NITRATES-main/nitrates/archive/do_signal_llhs_quick.py",
"type": "Python"
} | import numpy as np
from astropy.io import fits
import os
import argparse
import logging, traceback
import time
from ..analysis_seeds.bkg_rate_estimation import rate_obj_from_sqltab
from ..lib.sqlite_funcs import get_conn, write_result
from ..lib.dbread_funcs import (
get_rate_fits_tab,
guess_dbfname,
get_s... | Swift-BATREPO_NAMENITRATESPATH_START.@NITRATES_extracted@NITRATES-main@nitrates@archive@do_signal_llhs_quick.py@.PATH_END.py |
{
"filename": "filament.py",
"repo_name": "SimonPfeifer/cows",
"repo_path": "cows_extracted/cows-master/src/cows/filament.py",
"type": "Python"
} | import numpy as np
from ._filament import _label_skeleton, _find_filaments
def label_skeleton(skel, periodic=False):
''' Label the skeleton.
Label all skeleton cells with their respective number of neighbour
that they share a face, edge or vertex with (N_26).
Parameters
----------
sk... | SimonPfeiferREPO_NAMEcowsPATH_START.@cows_extracted@cows-master@src@cows@filament.py@.PATH_END.py |
{
"filename": "_linewidth.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/carpet/aaxis/_linewidth.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="linewidth", parent_name="carpet.aaxis", **kwargs):
super(LinewidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@carpet@aaxis@_linewidth.py@.PATH_END.py |
{
"filename": "CANDIDATES-Oumuamua-Past.md",
"repo_name": "seap-udea/iWander",
"repo_path": "iWander_extracted/iWander-master/objects/CANDIDATES-Oumuamua-Past.md",
"type": "Markdown"
} | # Progenitor candidates of 1I/2017 U1
[](http://arxiv.org/abs/1711.09397)
_Latest update_: ``Mon Mar 19 08:45:41 2018``
|#|Name|d(pc)|q|dmin(pc)|tmin(Myr)|vrel(km/s)|Ppos|find|Pposvel|
|--|--|--|--|--|--|--|--|--|--|
| 1 | HIP 103749 ([HD 2... | seap-udeaREPO_NAMEiWanderPATH_START.@iWander_extracted@iWander-master@objects@CANDIDATES-Oumuamua-Past.md@.PATH_END.py |
{
"filename": "_tickvals.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickvals.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self, plotly_name="tickvals", parent_name="densitymapbox.colorbar", **kwargs
):
super(TickvalsValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@densitymapbox@colorbar@_tickvals.py@.PATH_END.py |
{
"filename": "TTTEEE.py",
"repo_name": "SouthPoleTelescope/spt3g_y1_dist",
"repo_path": "spt3g_y1_dist_extracted/spt3g_y1_dist-main/cobaya_files/SPT3G_Y1/TTTEEE.py",
"type": "Python"
} | from cobaya.likelihoods.base_classes import planck_clik
from cobaya.log import LoggedError, get_logger
from cobaya.tools import are_different_params_lists
import numpy as np
from typing import Optional
import os
class TTTEEE(planck_clik.PlanckClik):
SPT3G_2018_TTTEEE_late_crop_msk : Optional[str]
SPT3G_20... | SouthPoleTelescopeREPO_NAMEspt3g_y1_distPATH_START.@spt3g_y1_dist_extracted@spt3g_y1_dist-main@cobaya_files@SPT3G_Y1@TTTEEE.py@.PATH_END.py |
{
"filename": "_fgopacity.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/treemap/marker/pattern/_fgopacity.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FgopacityValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="fgopacity", parent_name="treemap.marker.pattern", **kwargs
):
super(FgopacityValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@treemap@marker@pattern@_fgopacity.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "hmuellergoe/mrbeam",
"repo_path": "mrbeam_extracted/mrbeam-main/mr_beam/itreg/regpy/solvers/__init__.py",
"type": "Python"
} | """Iterative solvers for inverse problems.
"""
from regpy.util import classlogger
from regpy.hilbert import HilbertSpace
class Solver:
"""Abstract base class for solvers. Solvers do not loop themselves, but are driven by
repeatedly calling the `next` method. They expose the current iterate and value as attri... | hmuellergoeREPO_NAMEmrbeamPATH_START.@mrbeam_extracted@mrbeam-main@mr_beam@itreg@regpy@solvers@__init__.py@.PATH_END.py |
{
"filename": "grid.py",
"repo_name": "Herculens/herculens",
"repo_path": "herculens_extracted/herculens-main/herculens/LensImage/Numerics/grid.py",
"type": "Python"
} | # Handles coordinate grid on which ray-tracing and convolution are performed
#
# Copyright (c) 2021, herculens developers and contributors
# Copyright (c) 2018, Simon Birrer & lenstronomy contributors
# based on the ImSim.Numerics module from lenstronomy (version 1.9.3)
__author__ = 'sibirrer', 'austinpeel', 'aymgal'... | HerculensREPO_NAMEherculensPATH_START.@herculens_extracted@herculens-main@herculens@LensImage@Numerics@grid.py@.PATH_END.py |
{
"filename": "_bordercolor.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/heatmapgl/hoverlabel/_bordercolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="bordercolor", parent_name="heatmapgl.hoverlabel", **kwargs
):
super(BordercolorValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@heatmapgl@hoverlabel@_bordercolor.py@.PATH_END.py |
{
"filename": "lineout.py",
"repo_name": "fmihpc/analysator",
"repo_path": "analysator_extracted/analysator-master/pyCalculations/lineout.py",
"type": "Python"
} | #
# This file is part of Analysator.
# Copyright 2013-2016 Finnish Meteorological Institute
# Copyright 2017-2018 University of Helsinki
#
# For details of usage, see the COPYING file and read the "Rules of the Road"
# at http://www.physics.helsinki.fi/vlasiator/
#
# This program is free software; you can redistribu... | fmihpcREPO_NAMEanalysatorPATH_START.@analysator_extracted@analysator-master@pyCalculations@lineout.py@.PATH_END.py |
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