metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "__init__.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/indexes/period/__init__.py",
"type": "Python"
} | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@indexes@period@__init__.py@.PATH_END.py | |
{
"filename": "localdb.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/recipe_system/cal_service/localdb.py",
"type": "Python"
} | # Defines the LocalDB class for calibration returns. This is a high-level
# interface to the local calibration manager, and provides an API for
# modifying the database on disk.
from os import path, makedirs
from .caldb import CalDB, CalReturn
from .calrequestlib import get_cal_requests, generate_md5_digest
try:
... | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@recipe_system@cal_service@localdb.py@.PATH_END.py |
{
"filename": "test_rename_axis.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/series/methods/test_rename_axis.py",
"type": "Python"
} | import pytest
from pandas import (
Index,
MultiIndex,
Series,
)
import pandas._testing as tm
class TestSeriesRenameAxis:
def test_rename_axis_mapper(self):
# GH 19978
mi = MultiIndex.from_product([["a", "b", "c"], [1, 2]], names=["ll", "nn"])
ser = Series(list(range(len(mi))),... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@series@methods@test_rename_axis.py@.PATH_END.py |
{
"filename": "make_superdark.py",
"repo_name": "jotaylor/acdc-hst",
"repo_path": "acdc-hst_extracted/acdc-hst-main/src/acdc/superdark/make_superdark.py",
"type": "Python"
} | import numpy as np
import argparse
from astropy.io import fits
import os
import glob
from acdc.database.query_cos_dark import files_by_mjd
def sum_data(mjdstart, mjdend):
df = files_by_mjd(mjdstart, mjdend)
total_time_a = 0
total_time_b = 0
sumdark_a = np.zeros(16384*1024).reshape(1024, 16384)
su... | jotaylorREPO_NAMEacdc-hstPATH_START.@acdc-hst_extracted@acdc-hst-main@src@acdc@superdark@make_superdark.py@.PATH_END.py |
{
"filename": "art3d.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/matplotlib/py3/mpl_toolkits/mplot3d/art3d.py",
"type": "Python"
} | # art3d.py, original mplot3d version by John Porter
# Parts rewritten by Reinier Heeres <reinier@heeres.eu>
# Minor additions by Ben Axelrod <baxelrod@coroware.com>
"""
Module containing 3D artist code and functions to convert 2D
artists into 3D versions which can be added to an Axes3D.
"""
import math
import numpy ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@matplotlib@py3@mpl_toolkits@mplot3d@art3d.py@.PATH_END.py |
{
"filename": "demo_ROS_viper.py",
"repo_name": "projectchrono/chrono",
"repo_path": "chrono_extracted/chrono-main/src/demos/python/ros/demo_ROS_viper.py",
"type": "Python"
} | # =============================================================================
# PROJECT CHRONO - http://projectchrono.org
#
# Copyright (c) 2023 projectchrono.org
# All right reserved.
#
# Use of this source code is governed by a BSD-style license that can be found
# in the LICENSE file at the top level of the distri... | projectchronoREPO_NAMEchronoPATH_START.@chrono_extracted@chrono-main@src@demos@python@ros@demo_ROS_viper.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/src/amuse/community/bse/__init__.py",
"type": "Python"
} | from .interface import Bse
| amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@src@amuse@community@bse@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "jolideco/jolideco",
"repo_path": "jolideco_extracted/jolideco-main/jolideco/priors/patches/__init__.py",
"type": "Python"
} | from .core import GMMPatchPrior, MultiScalePrior
from .gmm import GMM_REGISTRY, GaussianMixtureModel
__all__ = ["GaussianMixtureModel", "GMMPatchPrior", "MultiScalePrior", "GMM_REGISTRY"]
| jolidecoREPO_NAMEjolidecoPATH_START.@jolideco_extracted@jolideco-main@jolideco@priors@patches@__init__.py@.PATH_END.py |
{
"filename": "lax_numpy_einsum_test.py",
"repo_name": "jax-ml/jax",
"repo_path": "jax_extracted/jax-main/tests/lax_numpy_einsum_test.py",
"type": "Python"
} | # Copyright 2018 The JAX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | jax-mlREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@tests@lax_numpy_einsum_test.py@.PATH_END.py |
{
"filename": "test_stretch.py",
"repo_name": "3fon3fonov/exostriker",
"repo_path": "exostriker_extracted/exostriker-main/exostriker/lib/emcee_ES/tests/integration/test_stretch.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import pytest
from emcee import moves
from .test_proposal import _test_normal, _test_uniform
__all__ = [
"test_normal_stretch",
"test_uniform_stretch",
"test_nsplits_stretch",
]
@pytest.mark.parametrize("blobs", [True, False])
def test_normal_stretch(blobs, **kwargs):
kwarg... | 3fon3fonovREPO_NAMEexostrikerPATH_START.@exostriker_extracted@exostriker-main@exostriker@lib@emcee_ES@tests@integration@test_stretch.py@.PATH_END.py |
{
"filename": "test_datacube.py",
"repo_name": "sdss/mangadap",
"repo_path": "mangadap_extracted/mangadap-main/mangadap/tests/test_datacube.py",
"type": "Python"
} |
import pytest
from IPython import embed
import numpy
from astropy.io import fits
from mangadap.config.manga import MaNGAConfig
from mangadap.proc.reductionassessments import ReductionAssessmentDef
from mangadap.util.covariance import Covariance
from mangadap.datacube import MaNGADataCube
from mangadap.tests.util im... | sdssREPO_NAMEmangadapPATH_START.@mangadap_extracted@mangadap-main@mangadap@tests@test_datacube.py@.PATH_END.py |
{
"filename": "imports.py",
"repo_name": "catrionamurray/occultence",
"repo_path": "occultence_extracted/occultence-main/occultence/imports.py",
"type": "Python"
} | import numpy as np
import copy
import astropy
from astropy.time import Time
from astropy.timeseries import TimeSeries, aggregate_downsample
import astropy.units as u
from .utils import *
# import fitsio
import math
import matplotlib.pyplot as plt
import pandas as pd
import os
import glob
from astropy.io import fits, as... | catrionamurrayREPO_NAMEoccultencePATH_START.@occultence_extracted@occultence-main@occultence@imports.py@.PATH_END.py |
{
"filename": "_b0.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/carpet/_b0.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class B0Validator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="b0", parent_name="carpet", **kwargs):
super(B0Validator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwar... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@carpet@_b0.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "aeictf/EPiCA",
"repo_path": "EPiCA_extracted/EPiCA-main/README.md",
"type": "Markdown"
} | Information
Currently under constructions 🚧🏗, first stable release version is expected in January 2024.
This package is an implementation of the Pierre Connes' algorithm (Connes 1985).
EPiCA (Exoplanetary Pierre Connes Algorithm)
Current version works only for pipeline ESPRESSO CCFs, summed-up.
Requirements
The al... | aeictfREPO_NAMEEPiCAPATH_START.@EPiCA_extracted@EPiCA-main@README.md@.PATH_END.py |
{
"filename": "config.py",
"repo_name": "gammapy/gammapy",
"repo_path": "gammapy_extracted/gammapy-main/gammapy/analysis/config.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import html
import json
import logging
from collections import defaultdict
from collections.abc import Mapping
from enum import Enum
from pathlib import Path
from typing import List, Optional
import yaml
from pydantic import BaseModel, ConfigDict
from gamm... | gammapyREPO_NAMEgammapyPATH_START.@gammapy_extracted@gammapy-main@gammapy@analysis@config.py@.PATH_END.py |
{
"filename": "_paramtreecfg.py",
"repo_name": "3fon3fonov/exostriker",
"repo_path": "exostriker_extracted/exostriker-main/exostriker/lib/pyqtgraph/examples/_paramtreecfg.py",
"type": "Python"
} | import numpy as np
from pyqtgraph.parametertree.parameterTypes import QtEnumParameter as enum
from pyqtgraph.Qt import QtWidgets
dlg = QtWidgets.QFileDialog
cfg = {
'list': {
'limits': {
'type': 'checklist',
'limits': ['a', 'b', 'c']
}
},
'file': {
'acceptM... | 3fon3fonovREPO_NAMEexostrikerPATH_START.@exostriker_extracted@exostriker-main@exostriker@lib@pyqtgraph@examples@_paramtreecfg.py@.PATH_END.py |
{
"filename": "_legendwidth.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatterpolar/_legendwidth.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LegendwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="legendwidth", parent_name="scatterpolar", **kwargs):
super(LegendwidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatterpolar@_legendwidth.py@.PATH_END.py |
{
"filename": "abstract.py",
"repo_name": "rhayes777/PyAutoFit",
"repo_path": "PyAutoFit_extracted/PyAutoFit-main/autofit/non_linear/paths/abstract.py",
"type": "Python"
} | import logging
import os
import re
import shutil
import zipfile
from abc import ABC, abstractmethod
from configparser import NoSectionError
from os import path
from pathlib import Path
from typing import Optional
import numpy as np
from autoconf import conf
from autofit.mapper.identifier import Identifier, Identifier... | rhayes777REPO_NAMEPyAutoFitPATH_START.@PyAutoFit_extracted@PyAutoFit-main@autofit@non_linear@paths@abstract.py@.PATH_END.py |
{
"filename": "test_umath.py",
"repo_name": "numpy/numpy",
"repo_path": "numpy_extracted/numpy-main/numpy/_core/tests/test_umath.py",
"type": "Python"
} | import platform
import warnings
import fnmatch
import itertools
import pytest
import sys
import operator
from fractions import Fraction
from functools import reduce
from collections import namedtuple
import numpy._core.umath as ncu
from numpy._core import _umath_tests as ncu_tests, sctypes
import numpy as np
from nump... | numpyREPO_NAMEnumpyPATH_START.@numpy_extracted@numpy-main@numpy@_core@tests@test_umath.py@.PATH_END.py |
{
"filename": "_annotation.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/layout/scene/_annotation.py",
"type": "Python"
} | from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
import copy as _copy
class Annotation(_BaseLayoutHierarchyType):
# class properties
# --------------------
_parent_path_str = "layout.scene"
_path_str = "layout.scene.annotation"
_valid_props = {
"align",... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@layout@scene@_annotation.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/table/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._visible import VisibleValidator
from ._uirevision import UirevisionValidator
from ._uid import UidValidator
from ._stream import StreamValidator
from ._name import NameValidator
from ._metasrc import MetasrcValidator
from ._meta import MetaVal... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@table@__init__.py@.PATH_END.py |
{
"filename": "_insidetextorientation.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/sunburst/_insidetextorientation.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class InsidetextorientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="insidetextorientation", parent_name="sunburst", **kwargs
):
super(InsidetextorientationValidator, self).__init__(
plotly_name... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@sunburst@_insidetextorientation.py@.PATH_END.py |
{
"filename": "ps_fit.py",
"repo_name": "TianlaiProject/tlpipe",
"repo_path": "tlpipe_extracted/tlpipe-master/tlpipe/timestream/ps_fit.py",
"type": "Python"
} | """Calibration by strong point source fitting.
Inheritance diagram
-------------------
.. inheritance-diagram:: PsFit
:parts: 2
"""
import os
import numpy as np
import ephem
import aipy as a
import timestream_task
from tlpipe.container.timestream import Timestream
from caput import mpiutil
from tlpipe.utils.path... | TianlaiProjectREPO_NAMEtlpipePATH_START.@tlpipe_extracted@tlpipe-master@tlpipe@timestream@ps_fit.py@.PATH_END.py |
{
"filename": "_bounds.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/layout/map/_bounds.py",
"type": "Python"
} | from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
import copy as _copy
class Bounds(_BaseLayoutHierarchyType):
# class properties
# --------------------
_parent_path_str = "layout.map"
_path_str = "layout.map.bounds"
_valid_props = {"east", "north", "south", "we... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@layout@map@_bounds.py@.PATH_END.py |
{
"filename": "_histnorm.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/histogram2dcontour/_histnorm.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HistnormValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="histnorm", parent_name="histogram2dcontour", **kwargs
):
super(HistnormValidator, self).__init__(
plotly_name=plotly_name,
par... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@histogram2dcontour@_histnorm.py@.PATH_END.py |
{
"filename": "_color.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/choropleth/hoverlabel/font/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="choropleth.hoverlabel.font", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_na... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@choropleth@hoverlabel@font@_color.py@.PATH_END.py |
{
"filename": "list.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/core/langchain_core/output_parsers/list.py",
"type": "Python"
} | from __future__ import annotations
import csv
import re
from abc import abstractmethod
from collections import deque
from collections.abc import AsyncIterator, Iterator
from io import StringIO
from typing import Optional as Optional
from typing import TypeVar, Union
from langchain_core.messages import BaseMessage
fro... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@core@langchain_core@output_parsers@list.py@.PATH_END.py |
{
"filename": "metaestimators.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/sklearn/utils/metaestimators.py",
"type": "Python"
} | """Utilities for meta-estimators."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from abc import ABCMeta, abstractmethod
from contextlib import suppress
from typing import Any, List
import numpy as np
from ..base import BaseEstimator
from ..utils import _safe_indexing
from ..utils... | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@sklearn@utils@metaestimators.py@.PATH_END.py |
{
"filename": "RadFil_Tutorial.ipynb",
"repo_name": "catherinezucker/radfil",
"repo_path": "radfil_extracted/radfil-master/RadFil_Tutorial.ipynb",
"type": "Jupyter Notebook"
} | # RadFil Tutorial
This tutorial walks through all the steps you need in order to build and fit your own radial density profiles. Feel free to run it in Python 2.7, Python 3.4, Python 3.5, or Python 3.6. For this tutorial, our filament of choice is the Musca infrared dark cloud, whose density profile has already been an... | catherinezuckerREPO_NAMEradfilPATH_START.@radfil_extracted@radfil-master@RadFil_Tutorial.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "matplotlib/matplotlib",
"repo_path": "matplotlib_extracted/matplotlib-main/lib/matplotlib/sphinxext/__init__.py",
"type": "Python"
} | matplotlibREPO_NAMEmatplotlibPATH_START.@matplotlib_extracted@matplotlib-main@lib@matplotlib@sphinxext@__init__.py@.PATH_END.py | |
{
"filename": "write_parset_tables.py",
"repo_name": "sdss/mangadap",
"repo_path": "mangadap_extracted/mangadap-main/docs/scripts/write_parset_tables.py",
"type": "Python"
} | #!/usr/bin/env python3
"""
Dynamically build the rst documentation of the bitmasks.
"""
import time
from importlib import resources
#-----------------------------------------------------------------------------
def write_parset(parset_class, opath, class_link=True):
ofile = opath / f'{parset_class.__name__.lowe... | sdssREPO_NAMEmangadapPATH_START.@mangadap_extracted@mangadap-main@docs@scripts@write_parset_tables.py@.PATH_END.py |
{
"filename": "rp.py",
"repo_name": "AMReX-Astro/MAESTROeX",
"repo_path": "MAESTROeX_extracted/MAESTROeX-main/sphinx_docs/rp.py",
"type": "Python"
} | #!/usr/bin/env python3
import os
import re
import sys
import textwrap
from more_itertools import unique_everseen
MAIN_HEADER = """
+----------------------------------------+---------------------------------------------------------+---------------+
| parameter | description ... | AMReX-AstroREPO_NAMEMAESTROeXPATH_START.@MAESTROeX_extracted@MAESTROeX-main@sphinx_docs@rp.py@.PATH_END.py |
{
"filename": "surgery.md",
"repo_name": "google/flax",
"repo_path": "flax_extracted/flax-main/docs_nnx/guides/surgery.md",
"type": "Markdown"
} | ---
jupytext:
formats: ipynb,md:myst
text_representation:
extension: .md
format_name: myst
format_version: 0.13
jupytext_version: 1.13.8
---
# Model surgery
Model surgery is an act of making modifications on an existing neural network's building blocks and parameters, such as layer replacement, pa... | googleREPO_NAMEflaxPATH_START.@flax_extracted@flax-main@docs_nnx@guides@surgery.md@.PATH_END.py |
{
"filename": "old_build_frbs.py",
"repo_name": "FRBs/FRB",
"repo_path": "FRB_extracted/FRB-main/frb/builds/old_build_frbs.py",
"type": "Python"
} | """ Module to generate individual FRB files """
import importlib_resources
import numpy as np
from astropy import units
from astropy.coordinates import SkyCoord
from frb import frb
def frb_121102():
"""
FRB 121102
All of the data currently comes from Tendulkar et al. 2017
https://ui.adsabs... | FRBsREPO_NAMEFRBPATH_START.@FRB_extracted@FRB-main@frb@builds@old_build_frbs.py@.PATH_END.py |
{
"filename": "test_r0_to_dl1.py",
"repo_name": "cta-observatory/cta-lstchain",
"repo_path": "cta-lstchain_extracted/cta-lstchain-main/lstchain/reco/tests/test_r0_to_dl1.py",
"type": "Python"
} | from ctapipe.containers import ArrayEventContainer
import numpy as np
from lstchain.reco.r0_to_dl1 import r0_to_dl1, rescale_dl1_charge
from lstchain.io import standard_config
from copy import copy, deepcopy
def test_rescale_dl1_charge():
event = ArrayEventContainer()
tel_ids = [1, 3]
images = {}
for ... | cta-observatoryREPO_NAMEcta-lstchainPATH_START.@cta-lstchain_extracted@cta-lstchain-main@lstchain@reco@tests@test_r0_to_dl1.py@.PATH_END.py |
{
"filename": "text.py",
"repo_name": "keras-team/keras",
"repo_path": "keras_extracted/keras-master/keras/src/legacy/preprocessing/text.py",
"type": "Python"
} | """Deprecated text preprocessing APIs from Keras 1."""
import collections
import hashlib
import json
import warnings
import numpy as np
from keras.src.api_export import keras_export
@keras_export("keras._legacy.preprocessing.text.text_to_word_sequence")
def text_to_word_sequence(
input_text,
filters='!"#$%... | keras-teamREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@legacy@preprocessing@text.py@.PATH_END.py |
{
"filename": "test_nonlinearity.py",
"repo_name": "litebird/litebird_sim",
"repo_path": "litebird_sim_extracted/litebird_sim-master/test/test_nonlinearity.py",
"type": "Python"
} | import numpy as np
import litebird_sim as lbs
from astropy.time import Time
def test_add_quadratic_nonlinearity():
# Test function to check consistency of wrappers and low level functions
start_time = Time("2025-02-02T00:00:00")
mission_time_days = 1
sampling_hz = 1
dets = [
lbs.DetectorI... | litebirdREPO_NAMElitebird_simPATH_START.@litebird_sim_extracted@litebird_sim-master@test@test_nonlinearity.py@.PATH_END.py |
{
"filename": "fastpm.py",
"repo_name": "changhoonhahn/pySpectrum",
"repo_path": "pySpectrum_extracted/pySpectrum-master/run/fastpm/fastpm.py",
"type": "Python"
} | #!/bin/python
'''
calculate the powerspectrum and bipsectrum for QPM halo box
'''
import os
import h5py
import numpy as np
# -- nbodykit --
import nbodykit.lab as NBlab
# -- pyspectrum --
from pyspectrum import util as UT
from pyspectrum import plots as Plots
from pyspectrum import pyspectrum as pySpec
# -- p... | changhoonhahnREPO_NAMEpySpectrumPATH_START.@pySpectrum_extracted@pySpectrum-master@run@fastpm@fastpm.py@.PATH_END.py |
{
"filename": "short_uvmap.py",
"repo_name": "micbia/serenet",
"repo_path": "serenet_extracted/serenet-main/utils_data/short_uvmap.py",
"type": "Python"
} | import numpy as np, pickle
uvs = pickle.load(open('uvmap_128_z7-20.pkl', 'rb'))
redshift = np.arange(7,11.5005,0.001)
uvs_short = {}
for i in range(redshift.size+1):
if(i < redshift.size):
z = redshift[i]
uvs_short['%.3f' %z] = uvs['%.3f' %z]
else:
uvs_short['Nant'] = uvs['Nant'... | micbiaREPO_NAMEserenetPATH_START.@serenet_extracted@serenet-main@utils_data@short_uvmap.py@.PATH_END.py |
{
"filename": "base_optimizer.py",
"repo_name": "fchollet/keras",
"repo_path": "keras_extracted/keras-master/keras/src/optimizers/base_optimizer.py",
"type": "Python"
} | import re
import warnings
from keras.src import backend
from keras.src import initializers
from keras.src import ops
from keras.src.optimizers.schedules import learning_rate_schedule
from keras.src.saving import serialization_lib
from keras.src.saving.keras_saveable import KerasSaveable
from keras.src.utils import tra... | fcholletREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@optimizers@base_optimizer.py@.PATH_END.py |
{
"filename": "api.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/analysis_modules/star_analysis/api.py",
"type": "Python"
} | from yt.utilities.exceptions import YTModuleRemoved
raise YTModuleRemoved(
"star_analysis",
"https://github.com/yt-project/yt_attic",
"https://yt-attic.readthedocs.io/",
)
| rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@analysis_modules@star_analysis@api.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/image/hoverlabel/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._namelengthsrc import NamelengthsrcValidator
from ._namelength import NamelengthValidator
from ._font import FontValidator
from ._bordercolorsrc import BordercolorsrcValidator
from ._bordercolor import ... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@image@hoverlabel@__init__.py@.PATH_END.py |
{
"filename": "test_svm_ibqk07.py",
"repo_name": "spacetelescope/drizzlepac",
"repo_path": "drizzlepac_extracted/drizzlepac-main/tests/hap/test_svm_ibqk07.py",
"type": "Python"
} | """ This module tests full pipeline SVM processing of a WFC3 dataset containing both IR and UVIS data.
The two detectors do NOT have the same WCS solution.
"""
import datetime
import os
import math
import numpy as np
import pytest
from drizzlepac.haputils import astroquery_utils as aqutils
from drizzlepac import ... | spacetelescopeREPO_NAMEdrizzlepacPATH_START.@drizzlepac_extracted@drizzlepac-main@tests@hap@test_svm_ibqk07.py@.PATH_END.py |
{
"filename": "emma.py",
"repo_name": "mirochaj/ares",
"repo_path": "ares_extracted/ares-main/input/litdata/emma.py",
"type": "Python"
} |
#From Moster2010, table 7
logM_0 = 11.88 #(0.01)
mu = 0.019 #(0.002) #or not
N_0 = 0.0282 #(0.0003)
nu = -0.72 #(0.06)
gamma_0 = 0.556 #0.001
gamma_1 = -0.26 #(0.05)
beta_0 = 1.06 #(0.06)
beta_1 = 0.17 #(0.12)
model1 = \
{
'pop_sfr_model':'hod',
#star-forming fraction - a, b dpl z dependance, other linear
'pop_s... | mirochajREPO_NAMEaresPATH_START.@ares_extracted@ares-main@input@litdata@emma.py@.PATH_END.py |
{
"filename": "shared_to_item.py",
"repo_name": "D-arioSpace/astroquery",
"repo_path": "astroquery_extracted/astroquery-main/astroquery/utils/tap/model/shared_to_item.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
=============
TAP plus
=============
@author: Javier Durtan
@contact: javier.duran@sciops.esa.int
European Space Astronomy Centre (ESAC)
European Space Agency (ESA)
Created on 28 sep. 2018
"""
class TapSharedToItem:
"""TAP shared to item obj... | D-arioSpaceREPO_NAMEastroqueryPATH_START.@astroquery_extracted@astroquery-main@astroquery@utils@tap@model@shared_to_item.py@.PATH_END.py |
{
"filename": "_y.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/violin/_y.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="y", parent_name="violin", **kwargs):
super(YValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwar... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@violin@_y.py@.PATH_END.py |
{
"filename": "constants.py",
"repo_name": "discsim/frank",
"repo_path": "frank_extracted/frank-master/frank/constants.py",
"type": "Python"
} | # Frankenstein: 1D disc brightness profile reconstruction from Fourier data
# using non-parametric Gaussian Processes
#
# Copyright (C) 2019-2020 R. Booth, J. Jennings, M. Tazzari
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as publishe... | discsimREPO_NAMEfrankPATH_START.@frank_extracted@frank-master@frank@constants.py@.PATH_END.py |
{
"filename": "test_dataset.py",
"repo_name": "ska-sa/katdal",
"repo_path": "katdal_extracted/katdal-master/katdal/test/test_dataset.py",
"type": "Python"
} | ###############################################################################
# Copyright (c) 2018-2019,2021-2024, National Research Foundation (SARAO)
#
# Licensed under the BSD 3-Clause License (the "License"); you may not use
# this file except in compliance with the License. You may obtain a copy
# of the License... | ska-saREPO_NAMEkatdalPATH_START.@katdal_extracted@katdal-master@katdal@test@test_dataset.py@.PATH_END.py |
{
"filename": "test_fitsblob.py",
"repo_name": "transientskp/pyse",
"repo_path": "pyse_extracted/pyse-master/test/test_fitsblob.py",
"type": "Python"
} | """
Try the in memory fits stream Accessor
"""
import os
import unittest
from astropy.io.fits import open as fitsopen
from sourcefinder.accessors import open as tkpopen
from sourcefinder.testutil.decorators import requires_data
from sourcefinder.accessors.fitsimageblob import FitsImageBlob
from .conftest import DATAPA... | transientskpREPO_NAMEpysePATH_START.@pyse_extracted@pyse-master@test@test_fitsblob.py@.PATH_END.py |
{
"filename": "tpu_sharding.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/tpu/tpu_sharding.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_sharding.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "ebachelet/pyLIMA",
"repo_path": "pyLIMA_extracted/pyLIMA-master/pyLIMA/pyLIMASS/__init__.py",
"type": "Python"
} | from .pyLIMASS import SourceLensProbabilities
__all__ = ["SourceLensProbabilities"]
| ebacheletREPO_NAMEpyLIMAPATH_START.@pyLIMA_extracted@pyLIMA-master@pyLIMA@pyLIMASS@__init__.py@.PATH_END.py |
{
"filename": "test_like.ipynb",
"repo_name": "threeML/hawc_hal",
"repo_path": "hawc_hal_extracted/hawc_hal-master/notebooks/test_like.ipynb",
"type": "Jupyter Notebook"
} | ```python
from threeML import *
from hawc_hal import HAL, HealpixConeROI
import os
os.environ['OMP_NUM_THREADS'] = "1"
os.environ['MKL_NUM_THREADS'] = "1"
%matplotlib notebook
```
Configuration read from /home/giacomov/.threeML/threeML_config.yml
```python
ra_crab, dec_crab = 83.633083, 22.014500
roi = Hea... | threeMLREPO_NAMEhawc_halPATH_START.@hawc_hal_extracted@hawc_hal-master@notebooks@test_like.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "dask/dask-image",
"repo_path": "dask-image_extracted/dask-image-main/dask_image/ndfourier/__init__.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import numbers
import dask.array as da
from . import _utils
__all__ = [
"fourier_gaussian",
"fourier_shift",
"fourier_uniform",
]
def fourier_gaussian(image, sigma, n=-1, axis=-1):
"""
Multi-dimensional Gaussian fourier filter.
The array is multiplied with the fouri... | daskREPO_NAMEdask-imagePATH_START.@dask-image_extracted@dask-image-main@dask_image@ndfourier@__init__.py@.PATH_END.py |
{
"filename": "test_formats.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/indexes/base_class/test_formats.py",
"type": "Python"
} | import numpy as np
import pytest
from pandas._config import using_string_dtype
import pandas._config.config as cf
from pandas import Index
import pandas._testing as tm
class TestIndexRendering:
def test_repr_is_valid_construction_code(self):
# for the case of Index, where the repr is traditional rather ... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@indexes@base_class@test_formats.py@.PATH_END.py |
{
"filename": "7-IndividualLine_Tutorial.ipynb",
"repo_name": "folsomcp/specpolFlow",
"repo_path": "specpolFlow_extracted/specpolFlow-main/docs-jb/Tutorials/7-IndividualLine_Tutorial.ipynb",
"type": "Jupyter Notebook"
} | # How analyze individual spectral lines
Many of the tools in SpecpolFlow can be applied to a single line in an observed spectrum. In this example we analyze a few emission lines in the spectrum of a T Tauri star.
First, import SpecpolFlow and some packages that will help with data visualization.
```python
import s... | folsomcpREPO_NAMEspecpolFlowPATH_START.@specpolFlow_extracted@specpolFlow-main@docs-jb@Tutorials@7-IndividualLine_Tutorial.ipynb@.PATH_END.py |
{
"filename": "cpu_eigh_lapack_syev.py",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/jax/_src/internal_test_util/export_back_compat_test_data/cpu_eigh_lapack_syev.py",
"type": "Python"
} | # Copyright 2023 The JAX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | googleREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@_src@internal_test_util@export_back_compat_test_data@cpu_eigh_lapack_syev.py@.PATH_END.py |
{
"filename": "_show.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/volume/slices/y/_show.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="show", parent_name="volume.slices.y", **kwargs):
super(ShowValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@volume@slices@y@_show.py@.PATH_END.py |
{
"filename": "events.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/ipython/py2/IPython/core/events.py",
"type": "Python"
} | """Infrastructure for registering and firing callbacks on application events.
Unlike :mod:`IPython.core.hooks`, which lets end users set single functions to
be called at specific times, or a collection of alternative methods to try,
callbacks are designed to be used by extension authors. A number of callbacks
can be r... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@ipython@py2@IPython@core@events.py@.PATH_END.py |
{
"filename": "CustomBackground_wnorm.py",
"repo_name": "ThomasEdwardRiley/xpsi-pre-transfer",
"repo_path": "xpsi-pre-transfer_extracted/xpsi-pre-transfer-master/examples/true_background/CustomBackground_wnorm.py",
"type": "Python"
} | from __future__ import print_function, division
import numpy as np
import math
import xpsi
class CustomBackground(xpsi.Background):
""" Currently tailored to the NICER light-curve SWG model specification.
NICER parameter recovery from synthetic photon count data.
The background must be set using the pr... | ThomasEdwardRileyREPO_NAMExpsi-pre-transferPATH_START.@xpsi-pre-transfer_extracted@xpsi-pre-transfer-master@examples@true_background@CustomBackground_wnorm.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "CosmoStat/shapepipe",
"repo_path": "shapepipe_extracted/shapepipe-master/shapepipe/__init__.py",
"type": "Python"
} | """SHAPEPIPE PACKAGE.
ShapePipe is a galaxy shape measurement pipeline.
:Author: Samuel Farrens <samuel.farrens@cea.fr>
"""
__all__ = ['modules', 'pipeline', 'utilities']
from . import *
from .info import __about__, __version__
| CosmoStatREPO_NAMEshapepipePATH_START.@shapepipe_extracted@shapepipe-master@shapepipe@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "BEAST-Fitting/beast",
"repo_path": "beast_extracted/beast-master/beast/tools/tests/__init__.py",
"type": "Python"
} | BEAST-FittingREPO_NAMEbeastPATH_START.@beast_extracted@beast-master@beast@tools@tests@__init__.py@.PATH_END.py | |
{
"filename": "tf_utils.py",
"repo_name": "SKA-INAF/sclassifier",
"repo_path": "sclassifier_extracted/sclassifier-master/sclassifier/tf_utils.py",
"type": "Python"
} | #!/usr/bin/env python
from __future__ import print_function
##################################################
### MODULE IMPORT
##################################################
## STANDARD MODULES
import os
import sys
import subprocess
import string
import time
import signal
from threading import Thread
i... | SKA-INAFREPO_NAMEsclassifierPATH_START.@sclassifier_extracted@sclassifier-master@sclassifier@tf_utils.py@.PATH_END.py |
{
"filename": "omegaxyz.py",
"repo_name": "spacetelescope/drizzlepac",
"repo_path": "drizzlepac_extracted/drizzlepac-main/drizzlepac/devutils/comparison_tools/read_hla/omegaxyz.py",
"type": "Python"
} | """Functions to get and apply HSC infinitesimal rotations to correct small shifts and rotations in spherical coordinates
Uses formulae from `Budavari & Lubow (2012, ApJ, 761, 188) <http://adsabs.harvard.edu/abs/2012ApJ...761..188B>`_
vim: tabstop=8 expandtab shiftwidth=4 softtabstop=4 ai :
2019 June 12, Rick White
"... | spacetelescopeREPO_NAMEdrizzlepacPATH_START.@drizzlepac_extracted@drizzlepac-main@drizzlepac@devutils@comparison_tools@read_hla@omegaxyz.py@.PATH_END.py |
{
"filename": "probes.py",
"repo_name": "DifferentiableUniverseInitiative/jax_cosmo",
"repo_path": "jax_cosmo_extracted/jax_cosmo-master/jax_cosmo/probes.py",
"type": "Python"
} | # This module defines kernel functions for various tracers
import jax.numpy as np
from jax import jit
from jax import vmap
from jax.tree_util import register_pytree_node_class
import jax_cosmo.background as bkgrd
import jax_cosmo.constants as const
import jax_cosmo.redshift as rds
from jax_cosmo.jax_utils import conta... | DifferentiableUniverseInitiativeREPO_NAMEjax_cosmoPATH_START.@jax_cosmo_extracted@jax_cosmo-master@jax_cosmo@probes.py@.PATH_END.py |
{
"filename": "util.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pygments/py2/pygments/util.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
pygments.util
~~~~~~~~~~~~~
Utility functions.
:copyright: Copyright 2006-2019 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
import re
import sys
split_path_re = re.compile(r'[/\\ ]')
doctype_lookup_re = re.compile(r'''
(<\?.*?\?>... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pygments@py2@pygments@util.py@.PATH_END.py |
{
"filename": "field.py",
"repo_name": "DedalusProject/dedalus",
"repo_path": "dedalus_extracted/dedalus-master/dedalus/core/field.py",
"type": "Python"
} | """
Class for data fields.
"""
import weakref
from functools import partial, reduce
from collections import defaultdict
import numpy as np
from mpi4py import MPI
from scipy import sparse
from scipy.sparse import linalg as splinalg
from numbers import Number
import h5py
from math import prod
from ..libraries.fftw im... | DedalusProjectREPO_NAMEdedalusPATH_START.@dedalus_extracted@dedalus-master@dedalus@core@field.py@.PATH_END.py |
{
"filename": "plot_limb_darkening.py",
"repo_name": "DaneSpaeth/pyoscillot",
"repo_path": "pyoscillot_extracted/pyoscillot-main/pyoscillot/plot_scripts/plot_limb_darkening.py",
"type": "Python"
} | import numpy as np
import matplotlib.pyplot as plt
from three_dim_star import ThreeDimStar, TwoDimProjector
from utils import calc_mean_limb_dark, add_limb_darkening
from dataloader import phoenix_spectrum
from star import GridSpectrumSimulator
from cfg import parse_global_ini
conf_dict = parse_global_ini()
def plot_... | DaneSpaethREPO_NAMEpyoscillotPATH_START.@pyoscillot_extracted@pyoscillot-main@pyoscillot@plot_scripts@plot_limb_darkening.py@.PATH_END.py |
{
"filename": "_position.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/indicator/delta/_position.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class PositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="position", parent_name="indicator.delta", **kwargs):
super(PositionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@indicator@delta@_position.py@.PATH_END.py |
{
"filename": "mixed_models.md",
"repo_name": "huggingface/peft",
"repo_path": "peft_extracted/peft-main/docs/source/developer_guides/mixed_models.md",
"type": "Markdown"
} | <!--Copyright 2023 The HuggingFace Team. 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 applicable law or agreed... | huggingfaceREPO_NAMEpeftPATH_START.@peft_extracted@peft-main@docs@source@developer_guides@mixed_models.md@.PATH_END.py |
{
"filename": "_showexponent.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/choropleth/colorbar/_showexponent.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="showexponent", parent_name="choropleth.colorbar", **kwargs
):
super(ShowexponentValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@choropleth@colorbar@_showexponent.py@.PATH_END.py |
{
"filename": "gen_qa_noshape_models.py",
"repo_name": "triton-inference-server/server",
"repo_path": "server_extracted/server-main/qa/common/gen_qa_noshape_models.py",
"type": "Python"
} | #!/usr/bin/env python3
# Copyright 2018-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
... | triton-inference-serverREPO_NAMEserverPATH_START.@server_extracted@server-main@qa@common@gen_qa_noshape_models.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "numpy/numpy",
"repo_path": "numpy_extracted/numpy-main/numpy/distutils/command/__init__.py",
"type": "Python"
} | """distutils.command
Package containing implementation of all the standard Distutils
commands.
"""
def test_na_writable_attributes_deletion():
a = np.NA(2)
attr = ['payload', 'dtype']
for s in attr:
assert_raises(AttributeError, delattr, a, s)
__revision__ = "$Id: __init__.py,v 1.3 2005/05/16 1... | numpyREPO_NAMEnumpyPATH_START.@numpy_extracted@numpy-main@numpy@distutils@command@__init__.py@.PATH_END.py |
{
"filename": "sod.py",
"repo_name": "EigenDev/simbi",
"repo_path": "simbi_extracted/simbi-main/simbi_configs/examples/sod.py",
"type": "Python"
} | from simbi import BaseConfig, DynamicArg, simbi_property
from simbi.key_types import *
class SodProblem(BaseConfig):
"""
Sod's Shock Tube Problem in 1D Newtonian Fluid
"""
nzones = DynamicArg("nzones", 1000, help="number of grid zones", var_type=int)
ad_gamma = DynamicArg("ad-gamma", 5.0 / 3.0... | EigenDevREPO_NAMEsimbiPATH_START.@simbi_extracted@simbi-main@simbi_configs@examples@sod.py@.PATH_END.py |
{
"filename": "_shape.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattersmith/line/_shape.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShapeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="shape", parent_name="scattersmith.line", **kwargs):
super(ShapeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattersmith@line@_shape.py@.PATH_END.py |
{
"filename": "resunet_se.py",
"repo_name": "BiaPyX/BiaPy",
"repo_path": "BiaPy_extracted/BiaPy-master/biapy/models/resunet_se.py",
"type": "Python"
} | import torch
import torch.nn as nn
from typing import List
from biapy.models.blocks import (
ResConvBlock,
ResUpBlock,
ConvBlock,
)
class ResUNet_SE(nn.Module):
"""
Create Residual 2D/3D U-Net with squeeze-excite blocks.
Reference: `Squeeze and Excitation Networks <https://arxiv.org/abs/1709... | BiaPyXREPO_NAMEBiaPyPATH_START.@BiaPy_extracted@BiaPy-master@biapy@models@resunet_se.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "keflavich/plfit",
"repo_path": "plfit_extracted/plfit-master/setup.py",
"type": "Python"
} | import sys
if 'build_sphinx' in sys.argv or 'develop' in sys.argv:
from setuptools import setup,Extension
else:
from distutils.core import setup,Extension
import distutils.util
#from scipy_distutils.core import Extension as scipyExtension
#from scipy_distutils.core import setup as scipysetup
from numpy.distutil... | keflavichREPO_NAMEplfitPATH_START.@plfit_extracted@plfit-master@setup.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "andreicuceu/vega",
"repo_path": "vega_extracted/vega-master/vega/plots/__init__.py",
"type": "Python"
} | andreicuceuREPO_NAMEvegaPATH_START.@vega_extracted@vega-master@vega@plots@__init__.py@.PATH_END.py | |
{
"filename": "test_plot_psw.py",
"repo_name": "STBadman/ParkerSolarWind",
"repo_path": "ParkerSolarWind_extracted/ParkerSolarWind-main/parkersolarwind/tests/test_plot_psw.py",
"type": "Python"
} | import parkersolarwind as psw
import plot_parkersolarwind as parkersolarwind
def test_plot_isothermal() :
# Make example isothermal solution
# Check input error handling
# Check fexts error handling
# Check output is fig and axes object (3 columns)
assert False
def test_plot_polytropic() :
# M... | STBadmanREPO_NAMEParkerSolarWindPATH_START.@ParkerSolarWind_extracted@ParkerSolarWind-main@parkersolarwind@tests@test_plot_psw.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/scattersmith/hoverlabel/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._font import Font
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
| plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@scattersmith@hoverlabel@__init__.py@.PATH_END.py |
{
"filename": "pol2noise.py",
"repo_name": "Starlink/starlink",
"repo_path": "starlink_extracted/starlink-master/applications/smurf/scripts/pol2noise.py",
"type": "Python"
} | #!/usr/bin/env python3
'''
*+
* Name:
* POL2NOISE
* Purpose:
* Analyse the noise in a POL2 vector catalogue
* Language:
* python (2.7 or 3.*)
* Description:
* This script manipulates the noise estimates contained within a POL2
* vector catalogue. Currently two options are available, selected... | StarlinkREPO_NAMEstarlinkPATH_START.@starlink_extracted@starlink-master@applications@smurf@scripts@pol2noise.py@.PATH_END.py |
{
"filename": "event_file_writer_v2.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/summary/writer/event_file_writer_v2.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@summary@writer@event_file_writer_v2.py@.PATH_END.py |
{
"filename": "index.md",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/docs/docs/integrations/providers/pebblo/index.md",
"type": "Markdown"
} | # Pebblo
[Pebblo](https://www.daxa.ai/pebblo) enables developers to safely load and retrieve data to promote their Gen AI app to deployment without
worrying about the organization’s compliance and security requirements. The Pebblo SafeLoader identifies semantic topics and entities found in the
loaded data and the Pebb... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@docs@docs@integrations@providers@pebblo@index.md@.PATH_END.py |
{
"filename": "00aInstallPackages.py",
"repo_name": "MehrnooshTahani/MC-BLOS",
"repo_path": "MC-BLOS_extracted/MC-BLOS-main/MolecularClouds/00aInstallPackages.py",
"type": "Python"
} | '''
Downloads and installs all the packages needed to run these scripts.
'''
import sys
import subprocess
#Install packages:
'''recommended packages = ['numpy<=1.24.2',
'scipy<=1.10.1',
'astropy<=5.2.1',
'pandas<=1.5.3',
'matplotlib<=3.7.1',
'adjusttext==0.7.... | MehrnooshTahaniREPO_NAMEMC-BLOSPATH_START.@MC-BLOS_extracted@MC-BLOS-main@MolecularClouds@00aInstallPackages.py@.PATH_END.py |
{
"filename": "test_psf_fitting.py",
"repo_name": "lenstronomy/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/test/test_Workflow/test_psf_fitting.py",
"type": "Python"
} | __author__ = "sibirrer"
import pytest
import numpy as np
import copy
import lenstronomy.Util.util as util
import lenstronomy.Util.simulation_util as sim_util
from lenstronomy.ImSim.image_model import ImageModel
from lenstronomy.ImSim.image_linear_solve import ImageLinearFit
import lenstronomy.Util.param_util as param_... | lenstronomyREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@test@test_Workflow@test_psf_fitting.py@.PATH_END.py |
{
"filename": "AtmosClass.py",
"repo_name": "wmpg/Supracenter",
"repo_path": "Supracenter_extracted/Supracenter-master/supra/Atmosphere/AtmosClass.py",
"type": "Python"
} | import random
import numpy as np
from netCDF4 import Dataset
import pyximport
pyximport.install(setup_args={'include_dirs':[np.get_include()]})
from scipy.interpolate import CubicSpline
from supra.Utils.AngleConv import roundToNearest
from supra.Utils.Classes import Constants
from supra.Supracenter.cyzInteg import z... | wmpgREPO_NAMESupracenterPATH_START.@Supracenter_extracted@Supracenter-master@supra@Atmosphere@AtmosClass.py@.PATH_END.py |
{
"filename": "fitsfunc.py",
"repo_name": "healpy/healpy",
"repo_path": "healpy_extracted/healpy-main/lib/healpy/fitsfunc.py",
"type": "Python"
} | #
# This file is part of Healpy.
#
# Healpy 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 2 of the License, or
# (at your option) any later version.
#
# Healpy is distributed in the hope... | healpyREPO_NAMEhealpyPATH_START.@healpy_extracted@healpy-main@lib@healpy@fitsfunc.py@.PATH_END.py |
{
"filename": "align_data.py",
"repo_name": "amanchokshi/EMBERS",
"repo_path": "EMBERS_extracted/EMBERS-master/src/embers/rf_tools/align_data.py",
"type": "Python"
} | """
Align Data
----------
Tools to temporally align pairs of rf data files,
enabling comparisons between data sets
"""
import concurrent.futures
import logging
import math
import re
from itertools import repeat
from pathlib import Path
import numpy as np
from embers.rf_tools.rf_data import (read_data, tile_names, ti... | amanchokshiREPO_NAMEEMBERSPATH_START.@EMBERS_extracted@EMBERS-master@src@embers@rf_tools@align_data.py@.PATH_END.py |
{
"filename": "TeeResMaxEvolutionStudy.py",
"repo_name": "mmicromegas/ransX",
"repo_path": "ransX_extracted/ransX-master/EVOLUTION/TeeResMaxEvolutionStudy.py",
"type": "Python"
} | import numpy as np
import sys
import matplotlib.pyplot as plt
from UTILS.Calculus import Calculus
from UTILS.EVOL.ALIMITevol import ALIMITevol
from UTILS.Tools import Tools
# Theoretical background https://arxiv.org/abs/1401.5176
# Mocak, Meakin, Viallet, Arnett, 2014, Compressible Hydrodynamic Mean-Field #
# Equati... | mmicromegasREPO_NAMEransXPATH_START.@ransX_extracted@ransX-master@EVOLUTION@TeeResMaxEvolutionStudy.py@.PATH_END.py |
{
"filename": "ultratb.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/ipython/py3/IPython/core/ultratb.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Verbose and colourful traceback formatting.
**ColorTB**
I've always found it a bit hard to visually parse tracebacks in Python. The
ColorTB class is a solution to that problem. It colors the different parts of a
traceback in a manner similar to what you would expect from a syntax-highlig... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@ipython@py3@IPython@core@ultratb.py@.PATH_END.py |
{
"filename": "tfsa-2022-164.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/security/advisory/tfsa-2022-164.md",
"type": "Markdown"
} | ## TFSA-2022-164: `CHECK_EQ` fail via input in `SparseMatrixNNZ`
### CVE Number
CVE-2022-41901
### Impact
An input `sparse_matrix` that is not a matrix with a shape with rank 0 will trigger a `CHECK` fail in [`tf.raw_ops.SparseMatrixNNZ`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sp... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@security@advisory@tfsa-2022-164.md@.PATH_END.py |
{
"filename": "plot_atomic_data.md",
"repo_name": "Morisset/PyNeb_devel",
"repo_path": "PyNeb_devel_extracted/PyNeb_devel-master/docs/api_reference/plot/plot_atomic_data.md",
"type": "Markdown"
} | ::: pyneb.plot.plotAtomicData
handler: python
rendering:
show_root_heading: false
selection:
docstring_style: google
docstring_options:
replace_admonitions: no | MorissetREPO_NAMEPyNeb_develPATH_START.@PyNeb_devel_extracted@PyNeb_devel-master@docs@api_reference@plot@plot_atomic_data.md@.PATH_END.py |
{
"filename": "flask_theme_support.py",
"repo_name": "dfm/python-fsps",
"repo_path": "python-fsps_extracted/python-fsps-main/docs/_themes/flask_theme_support.py",
"type": "Python"
} | # flasky extensions. flasky pygments style based on tango style
from pygments.style import Style
from pygments.token import (
Comment,
Error,
Generic,
Keyword,
Literal,
Name,
Number,
Operator,
Other,
Punctuation,
String,
Whitespace,
)
class FlaskyStyle(Style):
back... | dfmREPO_NAMEpython-fspsPATH_START.@python-fsps_extracted@python-fsps-main@docs@_themes@flask_theme_support.py@.PATH_END.py |
{
"filename": "ra_dec.py",
"repo_name": "HeRTA/FRBSTATS",
"repo_path": "FRBSTATS_extracted/FRBSTATS-main/figs/ra_dec.py",
"type": "Python"
} | import numpy as np
from astropy import units as u
import astropy.coordinates as apycoords
from astropy.coordinates import SkyCoord
from shutil import copyfile
from csv import reader
import urllib.request
import matplotlib
import matplotlib.pyplot as plt
# Use TeX
plt.rcParams['text.usetex'] = True
# Adjust figsize
p... | HeRTAREPO_NAMEFRBSTATSPATH_START.@FRBSTATS_extracted@FRBSTATS-main@figs@ra_dec.py@.PATH_END.py |
{
"filename": "testme.py",
"repo_name": "idefix-code/idefix",
"repo_path": "idefix_extracted/idefix-master/test/HD/sod/testme.py",
"type": "Python"
} | #!/usr/bin/env python3
"""
@author: glesur
"""
import os
import sys
sys.path.append(os.getenv("IDEFIX_DIR"))
import pytools.idfx_test as tst
name="dump.0001.dmp"
def testMe(test):
test.configure()
test.compile()
inifiles=["idefix.ini","idefix-hll.ini","idefix-hllc.ini","idefix-tvdlf.ini"]
if test.reconstru... | idefix-codeREPO_NAMEidefixPATH_START.@idefix_extracted@idefix-master@test@HD@sod@testme.py@.PATH_END.py |
{
"filename": "sim.py",
"repo_name": "thomasorb/orb",
"repo_path": "orb_extracted/orb-master/orb/sim.py",
"type": "Python"
} | #!/usr/bin/python
# *-* coding: utf-8 *-*
# Author: Thomas Martin <thomas.martin.1@ulaval.ca>
# File: sim.py
## Copyright (c) 2010-2020 Thomas Martin <thomas.martin.1@ulaval.ca>
##
## This file is part of ORB
##
## ORB is free software: you can redistribute it and/or modify it
## under the terms of the GNU General Pu... | thomasorbREPO_NAMEorbPATH_START.@orb_extracted@orb-master@orb@sim.py@.PATH_END.py |
{
"filename": "queue_timeout_test.py",
"repo_name": "triton-inference-server/server",
"repo_path": "server_extracted/server-main/qa/L0_batcher/queue_timeout_test.py",
"type": "Python"
} | #!/usr/bin/env python3
# Copyright 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# ... | triton-inference-serverREPO_NAMEserverPATH_START.@server_extracted@server-main@qa@L0_batcher@queue_timeout_test.py@.PATH_END.py |
{
"filename": "_linepositionsrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/funnel/outsidetextfont/_linepositionsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LinepositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="linepositionsrc",
parent_name="funnel.outsidetextfont",
**kwargs,
):
super(LinepositionsrcValidator, self).__init__(
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@funnel@outsidetextfont@_linepositionsrc.py@.PATH_END.py |
{
"filename": "_cone.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/template/data/_cone.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ConeValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
def __init__(
self, plotly_name="cone", parent_name="layout.template.data", **kwargs
):
super(ConeValidator, self).__init__(
plotly_name=plotly_name,
parent_nam... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@template@data@_cone.py@.PATH_END.py |
{
"filename": "plot.py",
"repo_name": "nanograv/holodeck",
"repo_path": "holodeck_extracted/holodeck-main/holodeck/plot.py",
"type": "Python"
} | """Plotting module.
Provides convenience methods for generating standard plots and components using `matplotlib`.
"""
import numpy as np
import scipy as sp
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import kalepy as kale
import holodeck as holo
from holodeck import utils, l... | nanogravREPO_NAMEholodeckPATH_START.@holodeck_extracted@holodeck-main@holodeck@plot.py@.PATH_END.py |
{
"filename": "_dtickrange.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatter3d/marker/colorbar/tickformatstop/_dtickrange.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
def __init__(
self,
plotly_name="dtickrange",
parent_name="scatter3d.marker.colorbar.tickformatstop",
**kwargs
):
super(DtickrangeValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatter3d@marker@colorbar@tickformatstop@_dtickrange.py@.PATH_END.py |
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