metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "fitcache.py",
"repo_name": "Fermipy/fermipy",
"repo_path": "fermipy_extracted/fermipy-master/fermipy/fitcache.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import numpy as np
import pyLikelihood as pyLike
from fermipy import utils
from fermipy import gtutils
def get_fitcache_pars(fitcache):
pars = pyLike.FloatVector()
cov = pyLike.FloatVector()
pyLike.Vector_Hep_to_Stl(fitcache.currentPars(), ... | FermipyREPO_NAMEfermipyPATH_START.@fermipy_extracted@fermipy-master@fermipy@fitcache.py@.PATH_END.py |
{
"filename": "layers.py",
"repo_name": "jakeret/tf_unet",
"repo_path": "tf_unet_extracted/tf_unet-master/tf_unet/layers.py",
"type": "Python"
} | # tf_unet is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# tf_unet is distributed in the hope that it will be useful,
# but WITHOUT... | jakeretREPO_NAMEtf_unetPATH_START.@tf_unet_extracted@tf_unet-master@tf_unet@layers.py@.PATH_END.py |
{
"filename": "params.py",
"repo_name": "dullemond/radmc3d-2.0",
"repo_path": "radmc3d-2.0_extracted/radmc3d-2.0-master/python/radmc3dPy/radmc3dPy/params.py",
"type": "Python"
} | """This module contains classes for handling of parameters of the model setup and for file I/O
"""
from __future__ import absolute_import
from __future__ import print_function
import traceback
import importlib
try:
import numpy as np
except ImportError:
np = None
print(' Numpy cannot be imported ')
pr... | dullemondREPO_NAMEradmc3d-2.0PATH_START.@radmc3d-2.0_extracted@radmc3d-2.0-master@python@radmc3dPy@radmc3dPy@params.py@.PATH_END.py |
{
"filename": "matrix_square_root_op_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/kernel_tests/linalg/matrix_square_root_op_test.py",
"type": "Python"
} | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@kernel_tests@linalg@matrix_square_root_op_test.py@.PATH_END.py |
{
"filename": "concatlogs.py",
"repo_name": "itseez/opencv",
"repo_path": "opencv_extracted/opencv-master/modules/ts/misc/concatlogs.py",
"type": "Python"
} | #!/usr/bin/env python
""" Combines multiple uniform HTML documents with tables into a single one.
HTML header from the first document will be used in the output document. Largest
`<tbody>...</tbody>` part from each document will be joined together.
"""
from optparse import OptionParser
import glob, sys, os, re
if __... | itseezREPO_NAMEopencvPATH_START.@opencv_extracted@opencv-master@modules@ts@misc@concatlogs.py@.PATH_END.py |
{
"filename": "hook-regions.py",
"repo_name": "spacetelescope/jdaviz",
"repo_path": "jdaviz_extracted/jdaviz-main/standalone/hooks/hook-regions.py",
"type": "Python"
} | from PyInstaller.utils.hooks import collect_submodules, collect_data_files
hiddenimports = collect_submodules("regions")
# for CITATION.rst
datas = collect_data_files('regions')
| spacetelescopeREPO_NAMEjdavizPATH_START.@jdaviz_extracted@jdaviz-main@standalone@hooks@hook-regions.py@.PATH_END.py |
{
"filename": "Tutorial-GiRaFFE_NRPy-Basic_Equations.ipynb",
"repo_name": "zachetienne/nrpytutorial",
"repo_path": "nrpytutorial_extracted/nrpytutorial-master/in_progress-GiRaFFE_NRPy/Tutorial-GiRaFFE_NRPy-Basic_Equations.ipynb",
"type": "Jupyter Notebook"
} | # `GiRaFFE_NRPy`: Basic Equations
## Authors: Patrick Nelson &
In this tutorial, we introduce the basic GRFFE equations that we wish to solve.
Throughout this section and beyond, we will work in geometrized units such that $G=c=1$. As is standard in NRPy+,
* Greek indices refer to four-dimensional quantities where... | zachetienneREPO_NAMEnrpytutorialPATH_START.@nrpytutorial_extracted@nrpytutorial-master@in_progress-GiRaFFE_NRPy@Tutorial-GiRaFFE_NRPy-Basic_Equations.ipynb@.PATH_END.py |
{
"filename": "conftest.py",
"repo_name": "rmjarvis/TreeCorr",
"repo_path": "TreeCorr_extracted/TreeCorr-main/tests/conftest.py",
"type": "Python"
} | def pytest_collectstart(collector):
if hasattr(collector, 'skip_compare'):
collector.skip_compare += 'stderr',
| rmjarvisREPO_NAMETreeCorrPATH_START.@TreeCorr_extracted@TreeCorr-main@tests@conftest.py@.PATH_END.py |
{
"filename": "_widthsrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/choropleth/marker/line/_widthsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="widthsrc", parent_name="choropleth.marker.line", **kwargs
):
super(WidthsrcValidator, self).__init__(
plotly_name=plotly_name,
parent... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@choropleth@marker@line@_widthsrc.py@.PATH_END.py |
{
"filename": "kepler-22.ipynb",
"repo_name": "timothydmorton/isochrones",
"repo_path": "isochrones_extracted/isochrones-master/notebooks/kepler-22.ipynb",
"type": "Jupyter Notebook"
} | ```
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
from isochrones.dartmouth import Dartmouth_Isochrone
dar = Dartmouth_Isochrone()
from isochrones.starmodel import StarModel
```
Here, I create a stellar model object with observations of $T_{eff}$, $\log g$, and $[Fe/H]$ corresponding to prop... | timothydmortonREPO_NAMEisochronesPATH_START.@isochrones_extracted@isochrones-master@notebooks@kepler-22.ipynb@.PATH_END.py |
{
"filename": "extension.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/setuptools/py3/setuptools/extension.py",
"type": "Python"
} | import re
import functools
import distutils.core
import distutils.errors
import distutils.extension
from typing import TYPE_CHECKING
from .monkey import get_unpatched
def _have_cython():
"""
Return True if Cython can be imported.
"""
cython_impl = 'Cython.Distutils.build_ext'
try:
# from ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@setuptools@py3@setuptools@extension.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "ggalloni/cobaya",
"repo_path": "cobaya_extracted/cobaya-master/cobaya/theories/cosmo/__init__.py",
"type": "Python"
} | from .boltzmannbase import BoltzmannBase, PowerSpectrumInterpolator
| ggalloniREPO_NAMEcobayaPATH_START.@cobaya_extracted@cobaya-master@cobaya@theories@cosmo@__init__.py@.PATH_END.py |
{
"filename": "thHeat.py",
"repo_name": "magic-sph/magic",
"repo_path": "magic_extracted/magic-master/python/magic/thHeat.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
import numpy as np
from magic import scanDir, MagicSetup, Movie, chebgrid, rderavg, AvgField
import os, pickle
try:
from scipy.integrate import simps
except:
from scipy.integrate import simpson as simps
json_model = {'phys_params': [],
'time... | magic-sphREPO_NAMEmagicPATH_START.@magic_extracted@magic-master@python@magic@thHeat.py@.PATH_END.py |
{
"filename": "_legendrank.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/histogram2dcontour/_legendrank.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LegendrankValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="legendrank", parent_name="histogram2dcontour", **kwargs
):
super(LegendrankValidator, self).__init__(
plotly_name=plotly_name,
p... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@histogram2dcontour@_legendrank.py@.PATH_END.py |
{
"filename": "like_bmon.py",
"repo_name": "ledatelescope/bifrost",
"repo_path": "bifrost_extracted/bifrost-master/tools/like_bmon.py",
"type": "Python"
} | #!/usr/bin/env python3
# Copyright (c) 2017-2023, The Bifrost Authors. All rights reserved.
# Copyright (c) 2017-2023, The University of New Mexico. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met... | ledatelescopeREPO_NAMEbifrostPATH_START.@bifrost_extracted@bifrost-master@tools@like_bmon.py@.PATH_END.py |
{
"filename": "test_detrender.py",
"repo_name": "konkolyseismolab/autoeap",
"repo_path": "autoeap_extracted/autoeap-master/tests/test_detrender.py",
"type": "Python"
} | import numpy as np
from autoeap.detrender import detrend_wrt_PDM
from numpy.testing import assert_array_almost_equal
import os
PACKAGEDIR = os.path.abspath(os.path.dirname(__file__))
def test_detrender():
time,flux,flux_err = np.genfromtxt(os.path.join(PACKAGEDIR,"EPIC220198696_c8_autoEAP.lc"),skip_header=1,unpac... | konkolyseismolabREPO_NAMEautoeapPATH_START.@autoeap_extracted@autoeap-master@tests@test_detrender.py@.PATH_END.py |
{
"filename": "_threshold.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/indicator/gauge/_threshold.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Threshold(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "indicator.gauge"
_path_str = "indicator.gauge.threshold"
_valid_props = {"line", "thickne... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@indicator@gauge@_threshold.py@.PATH_END.py |
{
"filename": "_family.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/treemap/legendgrouptitle/font/_family.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="family",
parent_name="treemap.legendgrouptitle.font",
**kwargs,
):
super(FamilyValidator, self).__init__(
plotly_name=pl... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@treemap@legendgrouptitle@font@_family.py@.PATH_END.py |
{
"filename": "test_pca_common.py",
"repo_name": "jakevdp/wpca",
"repo_path": "wpca_extracted/wpca-master/wpca/tests/test_pca_common.py",
"type": "Python"
} | from wpca.tests.tools import assert_columns_allclose_upto_sign
from wpca import PCA, WPCA, EMPCA
from sklearn.decomposition import PCA as SKPCA
from sklearn.utils.estimator_checks import check_estimator
import numpy as np
from numpy.testing import assert_allclose, assert_raises
ESTIMATORS = [PCA, WPCA, EMPCA]
KWDS ... | jakevdpREPO_NAMEwpcaPATH_START.@wpca_extracted@wpca-master@wpca@tests@test_pca_common.py@.PATH_END.py |
{
"filename": "Intermediate-1--RheologicalParameterExploration_Functional.ipynb",
"repo_name": "jrenaud90/TidalPy",
"repo_path": "TidalPy_extracted/TidalPy-main/Demos/Intermediate-1--RheologicalParameterExploration_Functional.ipynb",
"type": "Jupyter Notebook"
} | # Rheological Parameter Exploration
Using TidalPy's high-level functional programming, we will see how different rheological parameters affect tidal dissipation
```python
import numpy as np
import matplotlib.pyplot as plt
# plt.style.use('dark_background')
from matplotlib.gridspec import GridSpec
from cmcrameri impor... | jrenaud90REPO_NAMETidalPyPATH_START.@TidalPy_extracted@TidalPy-main@Demos@Intermediate-1--RheologicalParameterExploration_Functional.ipynb@.PATH_END.py |
{
"filename": "MCMC2.py",
"repo_name": "FRBs/zdm",
"repo_path": "zdm_extracted/zdm-main/zdm/MCMC2.py",
"type": "Python"
} | """
File: MCMC2.py
Author: Jordan Hoffmann
Date: 06/12/23
Purpose:
Contains functions used for MCMC runs of the zdm code. MCMC_wrap2.py is the
main function which does the calling and this holds functions which do the
MCMC analysis.
This function re-initialises the grids on every run while MCMC.py u... | FRBsREPO_NAMEzdmPATH_START.@zdm_extracted@zdm-main@zdm@MCMC2.py@.PATH_END.py |
{
"filename": "demo_axes_grid.py",
"repo_name": "matplotlib/matplotlib",
"repo_path": "matplotlib_extracted/matplotlib-main/galleries/examples/axes_grid1/demo_axes_grid.py",
"type": "Python"
} | """
==============
Demo Axes Grid
==============
Grid of 2x2 images with a single colorbar or with one colorbar per Axes.
"""
import matplotlib.pyplot as plt
from matplotlib import cbook
from mpl_toolkits.axes_grid1 import ImageGrid
fig = plt.figure(figsize=(10.5, 2.5))
Z = cbook.get_sample_data("axes_grid/bivariat... | matplotlibREPO_NAMEmatplotlibPATH_START.@matplotlib_extracted@matplotlib-main@galleries@examples@axes_grid1@demo_axes_grid.py@.PATH_END.py |
{
"filename": "ecliptic.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/coordinates/builtin_frames/ecliptic.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from astropy import units as u
from astropy.coordinates import representation as r
from astropy.coordinates.attributes import QuantityAttribute, TimeAttribute
from astropy.coordinates.baseframe import BaseCoordinateFrame, base_doc
from astropy.utils.decor... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@coordinates@builtin_frames@ecliptic.py@.PATH_END.py |
{
"filename": "svm_quality_analysis.py",
"repo_name": "spacetelescope/drizzlepac",
"repo_path": "drizzlepac_extracted/drizzlepac-main/drizzlepac/haputils/svm_quality_analysis.py",
"type": "Python"
} | """Code that evaluates the quality of the SVM products generated by the drizzlepac package.
The JSON files generated here can be converted directly into a Pandas DataFrame
using the syntax:
>>> import json
>>> import pandas as pd
>>> with open("<rootname>_astrometry_resids.json") as jfile:
>>> resids = json.load(... | spacetelescopeREPO_NAMEdrizzlepacPATH_START.@drizzlepac_extracted@drizzlepac-main@drizzlepac@haputils@svm_quality_analysis.py@.PATH_END.py |
{
"filename": "test_python_parser_only.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/io/parser/test_python_parser_only.py",
"type": "Python"
} | """
Tests that apply specifically to the Python parser. Unless specifically
stated as a Python-specific issue, the goal is to eventually move as many of
these tests out of this module as soon as the C parser can accept further
arguments when parsing.
"""
from __future__ import annotations
import csv
from io import (
... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@io@parser@test_python_parser_only.py@.PATH_END.py |
{
"filename": "slice2d_2di.py",
"repo_name": "spedas/pyspedas",
"repo_path": "pyspedas_extracted/pyspedas-master/pyspedas/particles/spd_slice2d/slice2d_2di.py",
"type": "Python"
} | import numpy as np
import scipy.interpolate
import scipy.spatial
def slice2d_2di(datapoints, xyz, resolution, thetarange=None, zdirrange=None):
"""
Produces slice by interpolating projected data. Based on spd_slice2d_2di in IDL
"""
# cut by theta value
if thetarange is not None:
thetarang... | spedasREPO_NAMEpyspedasPATH_START.@pyspedas_extracted@pyspedas-master@pyspedas@particles@spd_slice2d@slice2d_2di.py@.PATH_END.py |
{
"filename": "_textfont.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/scatterpolargl/_textfont.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Textfont(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "scatterpolargl"
_path_str = "scatterpolargl.textfont"
_valid_props = {
"color",
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@scatterpolargl@_textfont.py@.PATH_END.py |
{
"filename": "_autorangeoptions.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/polar/radialaxis/_autorangeoptions.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class AutorangeoptionsValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self,
plotly_name="autorangeoptions",
parent_name="layout.polar.radialaxis",
**kwargs,
):
super(AutorangeoptionsValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@polar@radialaxis@_autorangeoptions.py@.PATH_END.py |
{
"filename": "_bordercolorsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/ohlc/hoverlabel/_bordercolorsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="bordercolorsrc", parent_name="ohlc.hoverlabel", **kwargs
):
super(BordercolorsrcValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@ohlc@hoverlabel@_bordercolorsrc.py@.PATH_END.py |
{
"filename": "bench.py",
"repo_name": "mikecokina/elisa",
"repo_path": "elisa_extracted/elisa-master/scripts/benchmark/mp/bench.py",
"type": "Python"
} | import json
import os.path as op
import tempfile
import numpy as np
import os
from time import time
from elisa.binary_system import system
from elisa.conf import settings
from elisa.observer import observer
from elisa.logger import getLogger
from matplotlib import pyplot as plt
from importlib import reload
from elisa... | mikecokinaREPO_NAMEelisaPATH_START.@elisa_extracted@elisa-master@scripts@benchmark@mp@bench.py@.PATH_END.py |
{
"filename": "object_helpers.py",
"repo_name": "danielkoll/PyRADS",
"repo_path": "PyRADS_extracted/PyRADS-master/pyrads/object_helpers.py",
"type": "Python"
} | from __future__ import division, print_function, absolute_import
from copy import copy # to copy lists of objects...
# ==================================================================================
# Retrieve object(s) from obj list that match obj.attribute == value
# or function(obj.attribute,value)... | danielkollREPO_NAMEPyRADSPATH_START.@PyRADS_extracted@PyRADS-master@pyrads@object_helpers.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattercarpet/line/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._width import WidthValidator
from ._smoothing import SmoothingValidator
from ._shape import ShapeValidator
from ._dash import DashValidator
from ._color import ColorValidator
from ._backoffsrc impor... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattercarpet@line@__init__.py@.PATH_END.py |
{
"filename": "test_scaling.py",
"repo_name": "pymc-devs/pymc",
"repo_path": "pymc_extracted/pymc-main/tests/tuning/test_scaling.py",
"type": "Python"
} | # Copyright 2024 The PyMC Developers
#
# 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 ag... | pymc-devsREPO_NAMEpymcPATH_START.@pymc_extracted@pymc-main@tests@tuning@test_scaling.py@.PATH_END.py |
{
"filename": "uves.py",
"repo_name": "AWehrhahn/PyReduce",
"repo_path": "PyReduce_extracted/PyReduce-master/pyreduce/instruments/uves.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Handles instrument specific info for the UVES spectrograph
Mostly reading data from the header
"""
import logging
import os.path
import numpy as np
from astropy.io import fits
from dateutil import parser
from .common import Instrument, getter, observation_date_to_night
logger = logging.g... | AWehrhahnREPO_NAMEPyReducePATH_START.@PyReduce_extracted@PyReduce-master@pyreduce@instruments@uves.py@.PATH_END.py |
{
"filename": "test_fit_imaging_plotters.py",
"repo_name": "Jammy2211/PyAutoLens",
"repo_path": "PyAutoLens_extracted/PyAutoLens-main/test_autolens/imaging/plot/test_fit_imaging_plotters.py",
"type": "Python"
} | from os import path
import pytest
import autolens.plot as aplt
directory = path.dirname(path.realpath(__file__))
@pytest.fixture(name="plot_path")
def make_fit_imaging_plotter_setup():
return path.join(
"{}".format(path.dirname(path.realpath(__file__))), "files", "plots", "fit"
)
def test__fit_qu... | Jammy2211REPO_NAMEPyAutoLensPATH_START.@PyAutoLens_extracted@PyAutoLens-main@test_autolens@imaging@plot@test_fit_imaging_plotters.py@.PATH_END.py |
{
"filename": "stratsi_pert.py",
"repo_name": "minkailin/stratsi",
"repo_path": "stratsi_extracted/stratsi-master/caseA_eta0.1/stratsi_pert.py",
"type": "Python"
} | """
stratified linear analysis of the streaming instability
"""
from stratsi_params import *
from eigenproblem import Eigenproblem
'''
output control
'''
nz_out = 1024
out_scale= nz_out/nz_waves
'''
read in background vertical profiles of vgx, vgy, vdx, vdy
'''
horiz_eqm = h5py.File('./eqm_horiz.h5', 'r')
zaxis_... | minkailinREPO_NAMEstratsiPATH_START.@stratsi_extracted@stratsi-master@caseA_eta0.1@stratsi_pert.py@.PATH_END.py |
{
"filename": "polygon.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/utilities/polygon.py",
"type": "Python"
} | """
Util that calls several of Polygon's stock market REST APIs.
Docs: https://polygon.io/docs/stocks/getting-started
"""
import json
from typing import Any, Dict, Optional
import requests
from langchain_core.utils import get_from_dict_or_env
from pydantic import BaseModel, model_validator
POLYGON_BASE_URL = "https:... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@utilities@polygon.py@.PATH_END.py |
{
"filename": "remote_execution_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/eager/remote_execution_test.py",
"type": "Python"
} | # Copyright 2018 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@eager@remote_execution_test.py@.PATH_END.py |
{
"filename": "index_route.py",
"repo_name": "SKA-INAF/caesar-rest",
"repo_path": "caesar-rest_extracted/caesar-rest-master/caesar_rest/index_route.py",
"type": "Python"
} | ##############################
# MODULE IMPORTS
##############################
from flask import current_app, Blueprint, render_template, request, redirect
from caesar_rest import oidc
from caesar_rest.decorators import custom_require_login
# Get logger
#import logging
#logger = logging.getLogger(__name__)
from caes... | SKA-INAFREPO_NAMEcaesar-restPATH_START.@caesar-rest_extracted@caesar-rest-master@caesar_rest@index_route.py@.PATH_END.py |
{
"filename": "plot_fastcc_lfi.py",
"repo_name": "mpeel/fastcc",
"repo_path": "fastcc_extracted/fastcc-master/plot_fastcc_lfi.py",
"type": "Python"
} | # Quick script to plot the LFI colour correction curve
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
font = {'family' : 'normal',
'size' : 12}
matplotlib.rc('font', **font)
P30 = [1.00513, 0.00301399, -0.00300699, 28.4]
P44 = [0.994769, 0.00596703, -0.00173626, 44.1]
P70 = [0.989711,... | mpeelREPO_NAMEfastccPATH_START.@fastcc_extracted@fastcc-master@plot_fastcc_lfi.py@.PATH_END.py |
{
"filename": "_uirevision.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/ternary/_uirevision.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(
self, plotly_name="uirevision", parent_name="layout.ternary", **kwargs
):
super(UirevisionValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@ternary@_uirevision.py@.PATH_END.py |
{
"filename": "_textcase.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/_textcase.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextcaseValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="textcase", parent_name="scattergeo.hoverlabel.font", **kwargs
):
super(TextcaseValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattergeo@hoverlabel@font@_textcase.py@.PATH_END.py |
{
"filename": "cauchy.py",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/jax/_src/scipy/stats/cauchy.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... | googleREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@_src@scipy@stats@cauchy.py@.PATH_END.py |
{
"filename": "_showticksuffix.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/smith/realaxis/_showticksuffix.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="showticksuffix",
parent_name="layout.smith.realaxis",
**kwargs,
):
super(ShowticksuffixValidator, self).__init__(
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@smith@realaxis@_showticksuffix.py@.PATH_END.py |
{
"filename": "rename_flux_txt.py",
"repo_name": "HeloiseS/FUSS",
"repo_path": "FUSS_extracted/FUSS-master/iraf_scripts/rename_flux_txt.py",
"type": "Python"
} | import os
f1 = open('list_dat_flux', 'r')
f2 = open('list_err_flux', 'r')
for line in f1:
name = line[:-23]
ap = line [-11:-10]
new_name = name+"_ap"+ap+".txt"
os.system("mv "+line[:-1]+" "+new_name)
#print new_name
for line in f2:
name = line[:-23]
ap = line [-11:-10]
new_name = name... | HeloiseSREPO_NAMEFUSSPATH_START.@FUSS_extracted@FUSS-master@iraf_scripts@rename_flux_txt.py@.PATH_END.py |
{
"filename": "rawfiles.py",
"repo_name": "plazar/TOASTER",
"repo_path": "TOASTER_extracted/TOASTER-master/rawfiles.py",
"type": "Python"
} | #!/usr/bin/env python
"""
rawfiles.py
A multi-purpose program to interact with rawfiles.
Patrick Lazarus, Dec 8, 2012
"""
import utils
import database
import errors
toolkit = ['get_rawfile_id', \
'load_rawfile', \
'replace_rawfile', \
'diagnose_rawfile', \
'overlapping_r... | plazarREPO_NAMETOASTERPATH_START.@TOASTER_extracted@TOASTER-master@rawfiles.py@.PATH_END.py |
{
"filename": "test_default.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/simplejson/py2/simplejson/tests/test_default.py",
"type": "Python"
} | from unittest import TestCase
import simplejson as json
class TestDefault(TestCase):
def test_default(self):
self.assertEqual(
json.dumps(type, default=repr),
json.dumps(repr(type)))
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@simplejson@py2@simplejson@tests@test_default.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/astropy/visualization/tests/__init__.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
| waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@astropy@visualization@tests@__init__.py@.PATH_END.py |
{
"filename": "test_Roman.py",
"repo_name": "lenstronomy/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/test/test_SimulationAPI/test_ObservationConfig/test_Roman.py",
"type": "Python"
} | import unittest
from lenstronomy.SimulationAPI.ObservationConfig.Roman import Roman
from lenstronomy.SimulationAPI.observation_api import Instrument, SingleBand
import lenstronomy.Util.util as util
import os
import astropy.io.fits as pyfits
class TestRoman(unittest.TestCase):
def setUp(self):
self.F062 = ... | lenstronomyREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@test@test_SimulationAPI@test_ObservationConfig@test_Roman.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/lite/c/README.md",
"type": "Markdown"
} | # TensorFlow Lite C API
This directory contains C APIs for TensorFlow Lite. This includes C APIs
for common types, like kernels and delegates, as well as an explicit C API
for inference.
## Header summary
Each public C header contains types and methods for specific uses:
* `common.h` - Contains common C enums, ty... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@lite@c@README.md@.PATH_END.py |
{
"filename": "test_npy_pkg_config.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/numpy/py3/numpy/distutils/tests/test_npy_pkg_config.py",
"type": "Python"
} | import os
from numpy.distutils.npy_pkg_config import read_config, parse_flags
from numpy.testing import temppath, assert_
simple = """\
[meta]
Name = foo
Description = foo lib
Version = 0.1
[default]
cflags = -I/usr/include
libs = -L/usr/lib
"""
simple_d = {'cflags': '-I/usr/include', 'libflags': '-L/usr/lib',
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@numpy@py3@numpy@distutils@tests@test_npy_pkg_config.py@.PATH_END.py |
{
"filename": "tutorial-simple.ipynb",
"repo_name": "danielkoll/tidally-locked-coordinates",
"repo_path": "tidally-locked-coordinates_extracted/tidally-locked-coordinates-master/TL_coordinates/tutorial-simple.ipynb",
"type": "Jupyter Notebook"
} | ```python
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
#
import get_GCM_data
import transform_to_TL_coordinates
```
### Get GCM output data.
```python
output = {'TS':'TS','CLDTOT':'CLDTOT','U':'U','V':'V'}
state = get_GCM_data.get_GCM("./", ["GCMOutput.nc"], vars_list=output)
```
### Now c... | danielkollREPO_NAMEtidally-locked-coordinatesPATH_START.@tidally-locked-coordinates_extracted@tidally-locked-coordinates-master@TL_coordinates@tutorial-simple.ipynb@.PATH_END.py |
{
"filename": "_groups.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/sankey/node/_groups.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class GroupsValidator(_plotly_utils.basevalidators.InfoArrayValidator):
def __init__(self, plotly_name="groups", parent_name="sankey.node", **kwargs):
super(GroupsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@sankey@node@_groups.py@.PATH_END.py |
{
"filename": "MyCasapy2bbs.py",
"repo_name": "saopicc/DDFacet",
"repo_path": "DDFacet_extracted/DDFacet-master/SkyModel/MyCasapy2bbs.py",
"type": "Python"
} | #!/usr/bin/env python
from __future__ import division, absolute_import, print_function
from pyrap.tables import table
from pyrap.images import image
from SkyModel.Sky import ClassSM
import optparse
import numpy as np
import glob
import os
from SkyModel.Other import reformat
SaveFile="last_MyCasapy2BBS.obj"
import pick... | saopiccREPO_NAMEDDFacetPATH_START.@DDFacet_extracted@DDFacet-master@SkyModel@MyCasapy2bbs.py@.PATH_END.py |
{
"filename": "rnn_test.py",
"repo_name": "fchollet/keras",
"repo_path": "keras_extracted/keras-master/keras/src/layers/rnn/rnn_test.py",
"type": "Python"
} | import numpy as np
import pytest
from keras.src import layers
from keras.src import ops
from keras.src import testing
class OneStateRNNCell(layers.Layer):
def __init__(self, units, state_size=None, **kwargs):
super().__init__(**kwargs)
self.units = units
self.state_size = state_size if st... | fcholletREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@layers@rnn@rnn_test.py@.PATH_END.py |
{
"filename": "_tickvalssrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickvalssrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="tickvalssrc",
parent_name="scatterternary.marker.colorbar",
**kwargs,
):
super(TickvalssrcValidator, self).__init__(
p... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatterternary@marker@colorbar@_tickvalssrc.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "alibaba/TinyNeuralNetwork",
"repo_path": "TinyNeuralNetwork_extracted/TinyNeuralNetwork-main/setup.py",
"type": "Python"
} | import os
import setuptools
import subprocess
from datetime import datetime
try:
from pip._internal.req import parse_requirements
except ImportError:
from pip.req import parse_requirements
def get_sha():
try:
return subprocess.check_output(['git', 'rev-parse', 'HEAD']).decode('ascii').strip()
... | alibabaREPO_NAMETinyNeuralNetworkPATH_START.@TinyNeuralNetwork_extracted@TinyNeuralNetwork-main@setup.py@.PATH_END.py |
{
"filename": "test_mcs_adp.py",
"repo_name": "lwa-project/lsl",
"repo_path": "lsl_extracted/lsl-main/tests/test_mcs_adp.py",
"type": "Python"
} | """
Unit test for the lsl.common.mcsADP module.
"""
import os
import unittest
from datetime import datetime
from lsl.common import mcsADP
__version__ = "0.1"
__author__ = "Jayce Dowell"
class mcs_adp_tests(unittest.TestCase):
"""A unittest.TestCase collection of unit tests for the lsl.common.mcs
modul... | lwa-projectREPO_NAMElslPATH_START.@lsl_extracted@lsl-main@tests@test_mcs_adp.py@.PATH_END.py |
{
"filename": "ddp.py",
"repo_name": "desihub/LSS",
"repo_path": "LSS_extracted/LSS-main/py/LSS/DESI_ke/ddp.py",
"type": "Python"
} | import os
import fitsio
import numpy as np
import matplotlib.pyplot as plt
from astropy.table import Table
from cosmo import volcom
from scipy.interpolate import interp1d
from findfile import findfile
tmr_DDP1 = [-21.8, -20.1]
tmr_DDP2 = [-20.6, -19.3]
tmr_DDP... | desihubREPO_NAMELSSPATH_START.@LSS_extracted@LSS-main@py@LSS@DESI_ke@ddp.py@.PATH_END.py |
{
"filename": "test_svm_je281u.py",
"repo_name": "spacetelescope/drizzlepac",
"repo_path": "drizzlepac_extracted/drizzlepac-main/tests/hap/test_svm_je281u.py",
"type": "Python"
} | """ This module tests full pipeline SVM processing for an ACS WFC, full-frame, one filter dataset.
"""
import datetime
import glob
import os
import pytest
from drizzlepac.haputils import astroquery_utils as aqutils
from drizzlepac import runsinglehap
from astropy.io import fits, ascii
from pathlib import Path
"""
... | spacetelescopeREPO_NAMEdrizzlepacPATH_START.@drizzlepac_extracted@drizzlepac-main@tests@hap@test_svm_je281u.py@.PATH_END.py |
{
"filename": "prop_dftidefs.py",
"repo_name": "ajeldorado/falco-python",
"repo_path": "falco-python_extracted/falco-python-master/falco/proper/prop_dftidefs.py",
"type": "Python"
} | # Copyright 2016, 2017 California Institute of Technology
# Users must agree to abide by the restrictions listed in the
# file "LegalStuff.txt" in the PROPER library directory.
#
# PROPER developed at Jet Propulsion Laboratory/California Inst. Technology
# Original IDL version by John Krist
# Python transla... | ajeldoradoREPO_NAMEfalco-pythonPATH_START.@falco-python_extracted@falco-python-master@falco@proper@prop_dftidefs.py@.PATH_END.py |
{
"filename": "PcBsB.py",
"repo_name": "nickhand/pyRSD",
"repo_path": "pyRSD_extracted/pyRSD-master/pyRSD/rsd/power/gal/Pcs/PcBsB.py",
"type": "Python"
} | from .. import TwoHaloTerm, OneHaloTerm, DampedGalaxyPowerTerm
class PcBsB_2h(TwoHaloTerm):
"""
The 2-halo term for `PcBsB`
"""
name = 'PcBsB_2h'
def __init__(self, model):
super(PcBsB_2h, self).__init__(model, 'b1_cB', 'b1_sB')
class PcBsB_1h(OneHaloTerm):
"""
... | nickhandREPO_NAMEpyRSDPATH_START.@pyRSD_extracted@pyRSD-master@pyRSD@rsd@power@gal@Pcs@PcBsB.py@.PATH_END.py |
{
"filename": "prior_dict.py",
"repo_name": "bek0s/gbkfit",
"repo_path": "gbkfit_extracted/gbkfit-master/src/gbkfit/fitting/prior/prior_dict.py",
"type": "Python"
} |
import collections.abc
import copy
import numpy as np
__all__ = [
'PriorDict'
]
class PriorDict(collections.abc.Mapping):
def __init__(self, priors):
self._priors = copy.deepcopy(priors)
def __getitem__(self, key):
return self._priors.__getitem__(key)
def __iter__(self):
... | bek0sREPO_NAMEgbkfitPATH_START.@gbkfit_extracted@gbkfit-master@src@gbkfit@fitting@prior@prior_dict.py@.PATH_END.py |
{
"filename": "_title.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/heatmapgl/colorbar/_title.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Title(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "heatmapgl.colorbar"
_path_str = "heatmapgl.colorbar.title"
_valid_props = {"font", "side", "t... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@heatmapgl@colorbar@_title.py@.PATH_END.py |
{
"filename": "test_app.py",
"repo_name": "spacetelescope/jdaviz",
"repo_path": "jdaviz_extracted/jdaviz-main/jdaviz/tests/test_app.py",
"type": "Python"
} | import pytest
import numpy as np
from astropy import units as u
from astropy.wcs import WCS
from specutils import Spectrum1D
from jdaviz import Application, Specviz
from jdaviz.configs.default.plugins.gaussian_smooth.gaussian_smooth import GaussianSmooth
from jdaviz.utils import flux_conversion
# This applies to all... | spacetelescopeREPO_NAMEjdavizPATH_START.@jdaviz_extracted@jdaviz-main@jdaviz@tests@test_app.py@.PATH_END.py |
{
"filename": "msi.py",
"repo_name": "hmuellergoe/mrbeam",
"repo_path": "mrbeam_extracted/mrbeam-main/mr_beam/imagingbase/imagingbase/operators/msi.py",
"type": "Python"
} | import numpy as np
from regpy.operators import Operator
from MSI.MSDecomposition import WaveletTransform2D as msiWaveletTransform2D
from MSI.MSDecomposition import DoG2D as msiDoG2D
from MSI.MSMDDecomposition import DoG2D as msmdDoG2D
from MSI.MSDictionaries import WTDictionary as msiWTDictionary
from MSI.MSDictionar... | hmuellergoeREPO_NAMEmrbeamPATH_START.@mrbeam_extracted@mrbeam-main@mr_beam@imagingbase@imagingbase@operators@msi.py@.PATH_END.py |
{
"filename": "los_distributions.py",
"repo_name": "sibirrer/hierArc",
"repo_path": "hierArc_extracted/hierArc-main/hierarc/Sampling/Distributions/los_distributions.py",
"type": "Python"
} | import numpy as np
from hierarc.Util.distribution_util import PDFSampling
from scipy.stats import genextreme
class LOSDistribution(object):
"""Line of sight distribution drawing."""
def __init__(
self,
global_los_distribution=False,
los_distributions=None,
individual_distribut... | sibirrerREPO_NAMEhierArcPATH_START.@hierArc_extracted@hierArc-main@hierarc@Sampling@Distributions@los_distributions.py@.PATH_END.py |
{
"filename": "line_plot.py",
"repo_name": "yt-project/yt",
"repo_path": "yt_extracted/yt-main/yt/visualization/line_plot.py",
"type": "Python"
} | from collections import defaultdict
import numpy as np
from matplotlib.colors import LogNorm, Normalize, SymLogNorm
from yt.funcs import is_sequence, mylog
from yt.units.unit_object import Unit # type: ignore
from yt.units.yt_array import YTArray
from yt.visualization.plot_container import (
BaseLinePlot,
Pl... | yt-projectREPO_NAMEytPATH_START.@yt_extracted@yt-main@yt@visualization@line_plot.py@.PATH_END.py |
{
"filename": "provabgs_internal.ipynb",
"repo_name": "changhoonhahn/provabgs",
"repo_path": "provabgs_extracted/provabgs-main/nb/rug/provabgs_internal.ipynb",
"type": "Jupyter Notebook"
} | # run entire `provabgs` pipeline on fake observations generated using the pipeline
This will serve as an internal test that the model and inference pipelines are working!
```python
import os
import numpy as np
# --- plotting ---
import corner as DFM
import matplotlib as mpl
import matplotlib.pyplot as plt
#if 'NERS... | changhoonhahnREPO_NAMEprovabgsPATH_START.@provabgs_extracted@provabgs-main@nb@rug@provabgs_internal.ipynb@.PATH_END.py |
{
"filename": "check_spect.py",
"repo_name": "GeminiDRSoftware/GHOSTDR",
"repo_path": "GHOSTDR_extracted/GHOSTDR-master/utils/check_spect.py",
"type": "Python"
} | #!/usr/bin/env python3
from __future__ import division, print_function
import sys
import astropy.io.fits as pf
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
class Plotter:
def __init__(self, fname1, fname2):
""" A class to handle the plotting and animation of... | GeminiDRSoftwareREPO_NAMEGHOSTDRPATH_START.@GHOSTDR_extracted@GHOSTDR-master@utils@check_spect.py@.PATH_END.py |
{
"filename": "_bgcolor.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatter3d/hoverlabel/_bgcolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="bgcolor", parent_name="scatter3d.hoverlabel", **kwargs
):
super(BgcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_na... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatter3d@hoverlabel@_bgcolor.py@.PATH_END.py |
{
"filename": "jupyter.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/jupyter-core/py2/jupyter.py",
"type": "Python"
} | """Launch the root jupyter command"""
if __name__ == '__main__':
from jupyter_core.command import main
main()
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@jupyter-core@py2@jupyter.py@.PATH_END.py |
{
"filename": "plot_photometry.py",
"repo_name": "skypyproject/skypy",
"repo_path": "skypy_extracted/skypy-main/examples/galaxies/plot_photometry.py",
"type": "Python"
} | """
Optical Photometry
==================
This example demonstrates how to model galaxy photometric magnitudes using the
kcorrect spectral energy distribution templates as implemented in SkyPy.
"""
# %%
# kcorrect Spectral Templates
# ---------------------------
#
# In SkyPy, the rest-frame spectral energy distribut... | skypyprojectREPO_NAMEskypyPATH_START.@skypy_extracted@skypy-main@examples@galaxies@plot_photometry.py@.PATH_END.py |
{
"filename": "test_csharp.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/tests/unit_tests/document_loaders/parsers/language/test_csharp.py",
"type": "Python"
} | import unittest
import pytest
from langchain_community.document_loaders.parsers.language.csharp import CSharpSegmenter
@pytest.mark.requires("tree_sitter", "tree_sitter_languages")
class TestCSharpSegmenter(unittest.TestCase):
def setUp(self) -> None:
self.example_code = """namespace World
{
}
class He... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@tests@unit_tests@document_loaders@parsers@language@test_csharp.py@.PATH_END.py |
{
"filename": "Multiple Responses.ipynb",
"repo_name": "lee-group-cmu/RFCDE",
"repo_path": "RFCDE_extracted/RFCDE-master/python/vignettes/Multiple Responses.ipynb",
"type": "Jupyter Notebook"
} | ```python
import rfcde
import numpy as np
import matplotlib.pyplot as plt
```
/usr/lib/python3.6/site-packages/statsmodels/compat/pandas.py:56: FutureWarning: The pandas.core.datetools module is deprecated and will be removed in a future version. Please use the pandas.tseries module instead.
from pandas.core... | lee-group-cmuREPO_NAMERFCDEPATH_START.@RFCDE_extracted@RFCDE-master@python@vignettes@Multiple Responses.ipynb@.PATH_END.py |
{
"filename": "_rotation.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/pie/_rotation.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class RotationValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="rotation", parent_name="pie", **kwargs):
super(RotationValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@pie@_rotation.py@.PATH_END.py |
{
"filename": "_borderwidth.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/icicle/marker/colorbar/_borderwidth.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="borderwidth", parent_name="icicle.marker.colorbar", **kwargs
):
super(BorderwidthValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@icicle@marker@colorbar@_borderwidth.py@.PATH_END.py |
{
"filename": "colormaps.py",
"repo_name": "jiffyclub/palettable",
"repo_path": "palettable_extracted/palettable-master/palettable/cmocean/colormaps.py",
"type": "Python"
} | """
Color maps from Kristen Thyng's cmocean package
Learn more at https://github.com/matplotlib/cmocean and view the cmocean license at
https://github.com/matplotlib/cmocean/blob/master/LICENSE.txt.
"""
_ALGAE = [
[215, 249, 208],
[214, 248, 206],
[212, 247, 205],
[211, 246, 203],
[210, 245, 202],... | jiffyclubREPO_NAMEpalettablePATH_START.@palettable_extracted@palettable-master@palettable@cmocean@colormaps.py@.PATH_END.py |
{
"filename": "_arrayminus.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattergl/error_x/_arrayminus.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self, plotly_name="arrayminus", parent_name="scattergl.error_x", **kwargs
):
super(ArrayminusValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattergl@error_x@_arrayminus.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/tools/python/__init__.py",
"type": "Python"
} | from typing import Any
def __getattr__(name: str = "") -> Any:
raise AttributeError(
"This tool has been moved to langchain experiment. "
"This tool has access to a python REPL. "
"For best practices make sure to sandbox this tool. "
"Read https://github.com/langchain-ai/langchain/... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@tools@python@__init__.py@.PATH_END.py |
{
"filename": "csv_logger.py",
"repo_name": "keras-team/keras",
"repo_path": "keras_extracted/keras-master/keras/src/callbacks/csv_logger.py",
"type": "Python"
} | import collections
import csv
import numpy as np
from keras.src.api_export import keras_export
from keras.src.callbacks.callback import Callback
from keras.src.utils import file_utils
@keras_export("keras.callbacks.CSVLogger")
class CSVLogger(Callback):
"""Callback that streams epoch results to a CSV file.
... | keras-teamREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@callbacks@csv_logger.py@.PATH_END.py |
{
"filename": "PreFittedModify.py",
"repo_name": "yaolun/Her_line_fit",
"repo_path": "Her_line_fit_extracted/Her_line_fit-master/PreFittedModify.py",
"type": "Python"
} | def PreFittingModify(indir, outdir, obs):
# to avoid X server error
import matplotlib as mpl
mpl.use('Agg')
from astropy.io import ascii
import matplotlib.pyplot as plt
import numpy as np
import os
# modify outdir
# outdir = outdir+obs[0]+'/data/'
if not os.path.isdir(outdir):
... | yaolunREPO_NAMEHer_line_fitPATH_START.@Her_line_fit_extracted@Her_line_fit-master@PreFittedModify.py@.PATH_END.py |
{
"filename": "yolo-world.md",
"repo_name": "ultralytics/ultralytics",
"repo_path": "ultralytics_extracted/ultralytics-main/docs/en/models/yolo-world.md",
"type": "Markdown"
} | ---
comments: true
description: Explore the YOLO-World Model for efficient, real-time open-vocabulary object detection using Ultralytics YOLOv8 advancements. Achieve top performance with minimal computation.
keywords: YOLO-World, Ultralytics, open-vocabulary detection, YOLOv8, real-time object detection, machine learni... | ultralyticsREPO_NAMEultralyticsPATH_START.@ultralytics_extracted@ultralytics-main@docs@en@models@yolo-world.md@.PATH_END.py |
{
"filename": "example_gs_multipop.ipynb",
"repo_name": "mirochaj/ares",
"repo_path": "ares_extracted/ares-main/docs/examples/example_gs_multipop.ipynb",
"type": "Jupyter Notebook"
} | # Models with Multiple Source Populations
*ARES* can handle an arbitrary number of source populations. To
access this functionality, create a dictionary representing each source
population of interest. Below, we'll create a population representative of PopII stars and another representative of PopIII stars.
Before we... | mirochajREPO_NAMEaresPATH_START.@ares_extracted@ares-main@docs@examples@example_gs_multipop.ipynb@.PATH_END.py |
{
"filename": "Explorer.py",
"repo_name": "dokester/BayesicFitting",
"repo_path": "BayesicFitting_extracted/BayesicFitting-master/BayesicFitting/source/Explorer.py",
"type": "Python"
} | import numpy as numpy
from threading import Thread
from .Engine import Engine
from .Formatter import formatter as fmt
from . import Tools
__author__ = "Do Kester"
__year__ = 2023
__license__ = "GPL3"
__version__ = "3.2.0"
__url__ = "https://www.bayesicfitting.nl"
__status__ = "Perpetual Beta"
# *
# * This file is ... | dokesterREPO_NAMEBayesicFittingPATH_START.@BayesicFitting_extracted@BayesicFitting-master@BayesicFitting@source@Explorer.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/gempy/display/__init__.py",
"type": "Python"
} | # gempy.display.__init__.py
# Intended to interface as much like imexam as possible
from . import connection
connect = connection.Connect | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@gempy@display@__init__.py@.PATH_END.py |
{
"filename": "ebosscolorz.py",
"repo_name": "imcgreer/simqso",
"repo_path": "simqso_extracted/simqso-master/sdss/ebosscolorz.py",
"type": "Python"
} | #!/usr/bin/env python
import os,sys
from copy import deepcopy
from collections import defaultdict
import numpy as np
from scipy.stats import binned_statistic
import matplotlib.pyplot as plt
from matplotlib import ticker
from astropy.table import Table,hstack
from simqso import sqgrids as grids
import ebosscore
import... | imcgreerREPO_NAMEsimqsoPATH_START.@simqso_extracted@simqso-master@sdss@ebosscolorz.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/pie/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 ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@pie@hoverlabel@__init__.py@.PATH_END.py |
{
"filename": "test_matfuncs.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py3/scipy/sparse/linalg/tests/test_matfuncs.py",
"type": "Python"
} | #
# Created by: Pearu Peterson, March 2002
#
""" Test functions for scipy.linalg._matfuncs module
"""
import math
import numpy as np
from numpy import array, eye, exp, random
from numpy.linalg import matrix_power
from numpy.testing import (
assert_allclose, assert_, assert_array_almost_equal, assert_equal,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py3@scipy@sparse@linalg@tests@test_matfuncs.py@.PATH_END.py |
{
"filename": "_cmax.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatterpolargl/marker/line/_cmax.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="cmax", parent_name="scatterpolargl.marker.line", **kwargs
):
super(CmaxValidator, self).__init__(
plotly_name=plotly_name,
parent_name... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatterpolargl@marker@line@_cmax.py@.PATH_END.py |
{
"filename": "00bMakeDir.py",
"repo_name": "MehrnooshTahani/MappingBLOS_MolecularClouds",
"repo_path": "MappingBLOS_MolecularClouds_extracted/MappingBLOS_MolecularClouds-master/MolecularClouds/00bMakeDir.py",
"type": "Python"
} | """
This is the zeroth stage of the BLOSMapping method where the necessary directories are made
- When run, the file will ask for the name of a region of interest. It will then check to see of this region of
interest has a folder yet, if not it will make the needed folders and sub-folders.
"""
import os
impor... | MehrnooshTahaniREPO_NAMEMappingBLOS_MolecularCloudsPATH_START.@MappingBLOS_MolecularClouds_extracted@MappingBLOS_MolecularClouds-master@MolecularClouds@00bMakeDir.py@.PATH_END.py |
{
"filename": "population_model.py",
"repo_name": "tcallister/learning-p-det",
"repo_path": "learning-p-det_extracted/learning-p-det-main/code/population_model.py",
"type": "Python"
} | import numpyro
import numpyro.distributions as dist
import jax
import jax.numpy as jnp
from jax.scipy.special import erf,erfinv
from jax import vmap
import numpy as np
import astropy.units as u
from astropy.cosmology import Planck15,z_at_value
from interpax import interp1d
logit_std = 2.5
tmp_max = 100.
tmp_min = 2.
... | tcallisterREPO_NAMElearning-p-detPATH_START.@learning-p-det_extracted@learning-p-det-main@code@population_model.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/bar/marker/colorbar/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._tickfont import Tickfont
from ._tickformatstop import Tickformatstop
from ._title import Title
from . import title
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, _... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@bar@marker@colorbar@__init__.py@.PATH_END.py |
{
"filename": "test_utilities.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/src/integrations/prefect-aws/tests/test_utilities.py",
"type": "Python"
} | import pytest
from prefect_aws.utilities import (
assemble_document_for_patches,
ensure_path_exists,
hash_collection,
)
class TestHashCollection:
def test_simple_dict(self):
simple_dict = {"key1": "value1", "key2": "value2"}
assert hash_collection(simple_dict) == hash_collection(
... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@src@integrations@prefect-aws@tests@test_utilities.py@.PATH_END.py |
{
"filename": "math_ops.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/framework/experimental/math_ops.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@framework@experimental@math_ops.py@.PATH_END.py |
{
"filename": "esa.py",
"repo_name": "spedas/pyspedas",
"repo_path": "pyspedas_extracted/pyspedas-master/pyspedas/projects/themis/spacecraft/particles/esa.py",
"type": "Python"
} | from pyspedas.projects.themis.load import load
import pytplot
def esa(trange=['2007-03-23', '2007-03-24'],
probe='c',
level='l2',
suffix='',
get_support_data=False,
varformat=None,
varnames=[],
downloadonly=False,
notplot=False,
no_update=False,
... | spedasREPO_NAMEpyspedasPATH_START.@pyspedas_extracted@pyspedas-master@pyspedas@projects@themis@spacecraft@particles@esa.py@.PATH_END.py |
{
"filename": "qso_number_counts_metric.py",
"repo_name": "lsst/rubin_sim",
"repo_path": "rubin_sim_extracted/rubin_sim-main/rubin_sim/maf/metrics/qso_number_counts_metric.py",
"type": "Python"
} | __all__ = ("QSONumberCountsMetric",)
import os
import healpy as hp
import numpy as np
from rubin_scheduler.data import get_data_dir
from scipy import interpolate
from .base_metric import BaseMetric
from .exgal_m5 import ExgalM5
class QSONumberCountsMetric(BaseMetric):
"""Calculate the number of quasars expecte... | lsstREPO_NAMErubin_simPATH_START.@rubin_sim_extracted@rubin_sim-main@rubin_sim@maf@metrics@qso_number_counts_metric.py@.PATH_END.py |
{
"filename": "_tickvalssrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/parcoords/dimension/_tickvalssrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="tickvalssrc", parent_name="parcoords.dimension", **kwargs
):
super(TickvalssrcValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@parcoords@dimension@_tickvalssrc.py@.PATH_END.py |
{
"filename": "_familysrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/treemap/hoverlabel/font/_familysrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="familysrc", parent_name="treemap.hoverlabel.font", **kwargs
):
super(FamilysrcValidator, self).__init__(
plotly_name=plotly_name,
pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@treemap@hoverlabel@font@_familysrc.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "mbursa/sim5",
"repo_path": "sim5_extracted/sim5-master/__init__.py",
"type": "Python"
} | from .python.sim5lib import *
from .python.sim5diskmodel import *
from .python.sim5diskspectrum import *
from .python.sim5diskraytrace import *
from .python.sim5fitstable import *
| mbursaREPO_NAMEsim5PATH_START.@sim5_extracted@sim5-master@__init__.py@.PATH_END.py |
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