metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "numfig.py",
"repo_name": "spacetelescope/jwst",
"repo_path": "jwst_extracted/jwst-main/docs/exts/numfig.py",
"type": "Python"
} | from docutils.nodes import figure, caption, Text, reference, raw, SkipNode, Element
from sphinx.roles import XRefRole
# Element classes
class page_ref(reference):
pass
class num_ref(reference):
pass
# Visit/depart functions
def skip_page_ref(self, node):
raise SkipNode
def latex_visit_page_ref(self,... | spacetelescopeREPO_NAMEjwstPATH_START.@jwst_extracted@jwst-main@docs@exts@numfig.py@.PATH_END.py |
{
"filename": "test_real_coadd.py",
"repo_name": "quatrope/ProperImage",
"repo_path": "ProperImage_extracted/ProperImage-master/drafts/test_real_coadd.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# test_recoverstats.py
#
# Copyright 2016 Bruno S <bruno.sanchez.63@gmail.com>
#
import os
import shlex
import subprocess
import sys
import numpy as np
import matplotlib.pyplot as plt
from astropy.io import fits
from properimage import propercoadd as pc
from properi... | quatropeREPO_NAMEProperImagePATH_START.@ProperImage_extracted@ProperImage-master@drafts@test_real_coadd.py@.PATH_END.py |
{
"filename": "_hoverinfo.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/treemap/_hoverinfo.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(self, plotly_name="hoverinfo", parent_name="treemap", **kwargs):
super(HoverinfoValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@treemap@_hoverinfo.py@.PATH_END.py |
{
"filename": "hatch_build.py",
"repo_name": "dmlc/xgboost",
"repo_path": "xgboost_extracted/xgboost-master/python-package/hatch_build.py",
"type": "Python"
} | """
Custom hook to customize the behavior of Hatchling.
Here, we customize the tag of the generated wheels.
"""
from typing import Any, Dict
from hatchling.builders.hooks.plugin.interface import BuildHookInterface
from packaging.tags import platform_tags
def get_tag() -> str:
"""Get appropriate wheel tag accord... | dmlcREPO_NAMExgboostPATH_START.@xgboost_extracted@xgboost-master@python-package@hatch_build.py@.PATH_END.py |
{
"filename": "euv_comparison.py",
"repo_name": "RobertJaro/InstrumentToInstrument",
"repo_path": "InstrumentToInstrument_extracted/InstrumentToInstrument-master/itipy/evaluation/euv_comparison.py",
"type": "Python"
} | import datetime
import glob
import os
from warnings import simplefilter
import pandas
import pandas as pd
import torch
from dateutil.parser import parse
from itipy.train.util import skip_invalid
from sunpy.map import Map
from sunpy.visualization.colormaps import cm
from itipy.data.editor import soho_norms, sdo_norms,... | RobertJaroREPO_NAMEInstrumentToInstrumentPATH_START.@InstrumentToInstrument_extracted@InstrumentToInstrument-master@itipy@evaluation@euv_comparison.py@.PATH_END.py |
{
"filename": "Rescaling_DarkPhotonLimits.ipynb",
"repo_name": "cajohare/AxionLimits",
"repo_path": "AxionLimits_extracted/AxionLimits-master/Rescaling_DarkPhotonLimits.ipynb",
"type": "Jupyter Notebook"
} | ```python
from numpy import *
# ADMX
costh = sqrt(0.019)
B = 7.6
dat = loadtxt("limit_data/AxionPhoton/ADMX.txt")
dat[:,1] = 1e-9*dat[:,1]*(B/(1.444e-3*costh*dat[:,0]))
savetxt('limit_data/DarkPhoton/Rescaled/ADMX.txt',dat,header="ADMX 2009 rescaled to fixed polarisation scenario \n m_X [eV]\tchi")
B = 6.8
dat = loa... | cajohareREPO_NAMEAxionLimitsPATH_START.@AxionLimits_extracted@AxionLimits-master@Rescaling_DarkPhotonLimits.ipynb@.PATH_END.py |
{
"filename": "T02_create_tau_dataset.py",
"repo_name": "nu-radio/NuRadioMC",
"repo_path": "NuRadioMC_extracted/NuRadioMC-master/NuRadioMC/EvtGen/tests/T02_create_tau_dataset.py",
"type": "Python"
} | import numpy as np
import h5py
from NuRadioMC.EvtGen import generator
from NuRadioReco.utilities import units
import logging
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger("testtaueventgen")
# define simulation volume
volume = {
'fiducial_rmin':0 * units.km,
'fiducial_rmax': 3 * units.km,
'fiduci... | nu-radioREPO_NAMENuRadioMCPATH_START.@NuRadioMC_extracted@NuRadioMC-master@NuRadioMC@EvtGen@tests@T02_create_tau_dataset.py@.PATH_END.py |
{
"filename": "_tickvals.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/histogram/marker/colorbar/_tickvals.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self, plotly_name="tickvals", parent_name="histogram.marker.colorbar", **kwargs
):
super(TickvalsValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@histogram@marker@colorbar@_tickvals.py@.PATH_END.py |
{
"filename": "functionals.py",
"repo_name": "casacore/python-casacore",
"repo_path": "python-casacore_extracted/python-casacore-master/pyrap/functionals.py",
"type": "Python"
} | from casacore.functionals import * | casacoreREPO_NAMEpython-casacorePATH_START.@python-casacore_extracted@python-casacore-master@pyrap@functionals.py@.PATH_END.py |
{
"filename": "angular.py",
"repo_name": "duetosymmetry/qnm",
"repo_path": "qnm_extracted/qnm-master/qnm/angular.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""Solve the angular Teukolsky equation via spectral decomposition.
For a given complex QNM frequency ω, the separation constant and
spherical-spheroidal decomposition are found as an eigenvalue and
eigenvector of an (infinite) matrix problem. The interface to solving
this problem is :meth:`C_... | duetosymmetryREPO_NAMEqnmPATH_START.@qnm_extracted@qnm-master@qnm@angular.py@.PATH_END.py |
{
"filename": "to_hdf5.py",
"repo_name": "jiwoncpark/baobab",
"repo_path": "baobab_extracted/baobab-master/baobab/to_hdf5.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""Converting .npy image files and metadata into HDF5
This script converts the baobab data into the HDF5 format.
Example
-------
To run this script, pass in the baobab out_dir path as the first argument and the framework format as the second, e.g.::
$ to_hdf5 out_data/tdlmc_train_Empirica... | jiwoncparkREPO_NAMEbaobabPATH_START.@baobab_extracted@baobab-master@baobab@to_hdf5.py@.PATH_END.py |
{
"filename": "dataset-desc__native-catboost__contains__full.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/_includes/work_src/reusage-formats/dataset-desc__native-catboost__contains__full.md",
"type": "Markdown"
} |
For each object:
- A list of features.
- The target or multiple targets for multiregression (optional).
- Other [types of data](../../../concepts/input-data_column-descfile.md).
Feature indices used in training and feature importance are numbered from 0 to `featureCount – 1`. Any non-feature column types are ignored ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@_includes@work_src@reusage-formats@dataset-desc__native-catboost__contains__full.md@.PATH_END.py |
{
"filename": "Sedov-2d-ratio.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/tests/functional/Hydro/Sedov/Sedov-2d-ratio.py",
"type": "Python"
} | #-------------------------------------------------------------------------------
# The cylindrical Sedov test case (2-D).
#-------------------------------------------------------------------------------
import os, sys, shutil
from Spheral2d import *
from SpheralTestUtilities import *
#from SpheralGnuPlotUtilities impor... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@tests@functional@Hydro@Sedov@Sedov-2d-ratio.py@.PATH_END.py |
{
"filename": "fit.py",
"repo_name": "thomasorb/orb",
"repo_path": "orb_extracted/orb-master/orb/fit.py",
"type": "Python"
} | #!/usr/bin/python
# *-* coding: utf-8 *-*
# Author: Thomas Martin <thomas.martin.1@ulaval.ca>
# File: fit.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@fit.py@.PATH_END.py |
{
"filename": "_marker.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatterpolargl/_marker.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="marker", parent_name="scatterpolargl", **kwargs):
super(MarkerValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatterpolargl@_marker.py@.PATH_END.py |
{
"filename": "get_layer_policy.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/keras/mixed_precision/get_layer_policy.py",
"type": "Python"
} | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@keras@mixed_precision@get_layer_policy.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "fchollet/keras",
"repo_path": "keras_extracted/keras-master/keras/api/_tf_keras/keras/datasets/cifar100/__init__.py",
"type": "Python"
} | """DO NOT EDIT.
This file was autogenerated. Do not edit it by hand,
since your modifications would be overwritten.
"""
from keras.src.datasets.cifar100 import load_data
| fcholletREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@api@_tf_keras@keras@datasets@cifar100@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "PrincetonUniversity/athena",
"repo_path": "athena_extracted/athena-master/tst/regression/scripts/tests/shearingbox/__init__.py",
"type": "Python"
} | PrincetonUniversityREPO_NAMEathenaPATH_START.@athena_extracted@athena-master@tst@regression@scripts@tests@shearingbox@__init__.py@.PATH_END.py | |
{
"filename": "_customdata.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/contourcarpet/_customdata.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="customdata", parent_name="contourcarpet", **kwargs):
super(CustomdataValidator, self).__init__(
plotly_name=plotly_name,
parent_name=paren... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@contourcarpet@_customdata.py@.PATH_END.py |
{
"filename": "code_stats.py",
"repo_name": "fchollet/keras",
"repo_path": "keras_extracted/keras-master/keras/src/utils/code_stats.py",
"type": "Python"
} | import os
def count_loc(directory, exclude=("_test",), extensions=(".py",), verbose=0):
loc = 0
for root, _, fnames in os.walk(directory):
skip = False
for ex in exclude:
if root.endswith(ex):
skip = True
if skip:
continue
for fname in f... | fcholletREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@utils@code_stats.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/treemap/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._domain import Domain
from ._hoverlabel import Hoverlabel
from ._insidetextfont import Insidetextfont
from ._legendgrouptitle import Legendgrouptitle
from ._marker import Marker
from ._outsidetextfo... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@treemap@__init__.py@.PATH_END.py |
{
"filename": "wavelet_precompute_torch.py",
"repo_name": "astro-informatics/s2wav",
"repo_path": "s2wav_extracted/s2wav-main/s2wav/transforms/wavelet_precompute_torch.py",
"type": "Python"
} | import torch
from typing import Tuple, List
from s2fft.precompute_transforms import wigner, spherical
from s2wav import samples
def synthesis(
f_wav: torch.tensor,
f_scal: torch.tensor,
L: int,
N: int = 1,
J_min: int = 0,
lam: float = 2.0,
spin: int = 0,
sampling: str = "mw",
nside... | astro-informaticsREPO_NAMEs2wavPATH_START.@s2wav_extracted@s2wav-main@s2wav@transforms@wavelet_precompute_torch.py@.PATH_END.py |
{
"filename": "_y1shift.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/shape/_y1shift.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class Y1ShiftValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="y1shift", parent_name="layout.shape", **kwargs):
super(Y1ShiftValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@shape@_y1shift.py@.PATH_END.py |
{
"filename": "_hoverlabel.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/sankey/node/_hoverlabel.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Hoverlabel(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "sankey.node"
_path_str = "sankey.node.hoverlabel"
_valid_props = {
"align",
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@sankey@node@_hoverlabel.py@.PATH_END.py |
{
"filename": "_size.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/densitymapbox/legendgrouptitle/font/_size.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="size",
parent_name="densitymapbox.legendgrouptitle.font",
**kwargs,
):
super(SizeValidator, self).__init__(
plotly_name=pl... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@densitymapbox@legendgrouptitle@font@_size.py@.PATH_END.py |
{
"filename": "watershed.py",
"repo_name": "itseez/opencv",
"repo_path": "opencv_extracted/opencv-master/samples/python/watershed.py",
"type": "Python"
} | #!/usr/bin/env python
'''
Watershed segmentation
=========
This program demonstrates the watershed segmentation algorithm
in OpenCV: watershed().
Usage
-----
watershed.py [image filename]
Keys
----
1-7 - switch marker color
SPACE - update segmentation
r - reset
a - toggle autoupdate
ESC - exit... | itseezREPO_NAMEopencvPATH_START.@opencv_extracted@opencv-master@samples@python@watershed.py@.PATH_END.py |
{
"filename": "catalogue_match.ipynb",
"repo_name": "radiocosmology/cora",
"repo_path": "cora_extracted/cora-master/cora/foreground/data/catalogue_match.ipynb",
"type": "Jupyter Notebook"
} | ```
%pylab inline
```
Populating the interactive namespace from numpy and matplotlib
WARNING: pylab import has clobbered these variables: ['f', 'beta']
`%pylab --no-import-all` prevents importing * from pylab and numpy
```
import pandas as pd
import numpy as np
import networkx as nx
```
```
nvss_tab... | radiocosmologyREPO_NAMEcoraPATH_START.@cora_extracted@cora-master@cora@foreground@data@catalogue_match.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/map/layer/symbol/textfont/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._weight import WeightValidator
from ._style import StyleValidator
from ._size import SizeValidator
from ._family import FamilyValidator
from ._color import ColorValidator
else:
from _plotly_utils.im... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@map@layer@symbol@textfont@__init__.py@.PATH_END.py |
{
"filename": "nca.py",
"repo_name": "barentsen/dave",
"repo_path": "dave_extracted/dave-master/fileio/nca.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import numpy as np
__version__ = "$Id$"
__URL__ = "$URL$"
class Nca(np.ndarray):
"""
A thin wrapper around numpy to allow column addressing by name
instead of number.
I frequently have a large 2d array where each row represents an
object, and each column re... | barentsenREPO_NAMEdavePATH_START.@dave_extracted@dave-master@fileio@nca.py@.PATH_END.py |
{
"filename": "model.py",
"repo_name": "triton-inference-server/server",
"repo_path": "server_extracted/server-main/qa/python_models/wrong_return_type/model.py",
"type": "Python"
} | # Copyright 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
# notice, this list of con... | triton-inference-serverREPO_NAMEserverPATH_START.@server_extracted@server-main@qa@python_models@wrong_return_type@model.py@.PATH_END.py |
{
"filename": "_two_body.py",
"repo_name": "LoganAMorrison/Hazma",
"repo_path": "Hazma_extracted/Hazma-master/hazma/phase_space/_two_body.py",
"type": "Python"
} | """
Module for integrating two-body phase space.
"""
from typing import Sequence, Tuple, Callable, Any, Optional
import numpy as np
from scipy import integrate
from hazma.utils import kallen_lambda
from ._base import AbstractPhaseSpaceIntegrator
def _msqrd_flat(z):
if np.isscalar(z):
return 1.0
r... | LoganAMorrisonREPO_NAMEHazmaPATH_START.@Hazma_extracted@Hazma-master@hazma@phase_space@_two_body.py@.PATH_END.py |
{
"filename": "_west.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/map/bounds/_west.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WestValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="west", parent_name="layout.map.bounds", **kwargs):
super(WestValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@map@bounds@_west.py@.PATH_END.py |
{
"filename": "pull-request-template.md",
"repo_name": "ashleychontos/pySYD",
"repo_path": "pySYD_extracted/pySYD-master/.github/pull-request-template.md",
"type": "Markdown"
} | ---
name: Pull request
about: Contribute to this project!
title: ''
labels: ''
assignees: ''
---
------
## Relevant Materials
### Description
Using the checklist as a guide, please provide more details about the nature of the pull request.
### Attachments & Supporting Files
Please provide any relevant files i.e... | ashleychontosREPO_NAMEpySYDPATH_START.@pySYD_extracted@pySYD-master@.github@pull-request-template.md@.PATH_END.py |
{
"filename": "_showlegend.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/choropleth/_showlegend.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="showlegend", parent_name="choropleth", **kwargs):
super(ShowlegendValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_nam... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@choropleth@_showlegend.py@.PATH_END.py |
{
"filename": "modules.py",
"repo_name": "PolymathicAI/AstroCLIP",
"repo_path": "AstroCLIP_extracted/AstroCLIP-main/downstream_tasks/property_estimation/baselines/modules.py",
"type": "Python"
} | import lightning as L
import torch
from torch import nn, optim
from torchvision import models
from torchvision.transforms import (
Compose,
GaussianBlur,
RandomHorizontalFlip,
RandomVerticalFlip,
)
from astroclip.env import format_with_env
ASTROCLIP_ROOT = format_with_env("{ASTROCLIP_ROOT}")
class S... | PolymathicAIREPO_NAMEAstroCLIPPATH_START.@AstroCLIP_extracted@AstroCLIP-main@downstream_tasks@property_estimation@baselines@modules.py@.PATH_END.py |
{
"filename": "test_mpirng.py",
"repo_name": "bccp/nbodykit",
"repo_path": "nbodykit_extracted/nbodykit-master/nbodykit/tests/test_mpirng.py",
"type": "Python"
} | from runtests.mpi import MPITest
from nbodykit import setup_logging
from nbodykit.mpirng import MPIRandomState
from numpy.testing import assert_array_equal
import numpy
from mpi4py import MPI
import os
import pytest
setup_logging("debug")
@MPITest([4])
def test_mpirng_large_chunk(comm):
rng = MPIRandomState(comm,... | bccpREPO_NAMEnbodykitPATH_START.@nbodykit_extracted@nbodykit-master@nbodykit@tests@test_mpirng.py@.PATH_END.py |
{
"filename": "filt_cinv.py",
"repo_name": "carronj/plancklens",
"repo_path": "plancklens_extracted/plancklens-master/plancklens/filt/filt_cinv.py",
"type": "Python"
} | """conjugate gradient solver CMB filtering module.
"""
from __future__ import print_function
from __future__ import absolute_import
import healpy as hp
import numpy as np
import pickle as pk
import os
from plancklens.helpers import mpi
from plancklens import utils
from plancklens.filt import filt_simple
from planc... | carronjREPO_NAMEplancklensPATH_START.@plancklens_extracted@plancklens-master@plancklens@filt@filt_cinv.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "ali-beheshti/Astro-Paint",
"repo_path": "Astro-Paint_extracted/Astro-Paint-master/docs/conf.py",
"type": "Python"
} | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | ali-beheshtiREPO_NAMEAstro-PaintPATH_START.@Astro-Paint_extracted@Astro-Paint-master@docs@conf.py@.PATH_END.py |
{
"filename": "figure_pooling.ipynb",
"repo_name": "deepsphere/deepsphere-cosmo-tf1",
"repo_path": "deepsphere-cosmo-tf1_extracted/deepsphere-cosmo-tf1-master/figure_pooling.ipynb",
"type": "Jupyter Notebook"
} | # [DeepSphere]: a spherical convolutional neural network
[DeepSphere]: https://github.com/SwissDataScienceCenter/DeepSphere
[Nathanaël Perraudin](https://perraudin.info), [Michaël Defferrard](http://deff.ch), Tomasz Kacprzak, Raphael Sgier
# Figure: pooling
```python
import os;
import healpy as hp; import numpy as... | deepsphereREPO_NAMEdeepsphere-cosmo-tf1PATH_START.@deepsphere-cosmo-tf1_extracted@deepsphere-cosmo-tf1-master@figure_pooling.ipynb@.PATH_END.py |
{
"filename": "conv1d_transpose.py",
"repo_name": "fchollet/keras",
"repo_path": "keras_extracted/keras-master/keras/src/layers/convolutional/conv1d_transpose.py",
"type": "Python"
} | from keras.src.api_export import keras_export
from keras.src.layers.convolutional.base_conv_transpose import BaseConvTranspose
@keras_export(
[
"keras.layers.Conv1DTranspose",
"keras.layers.Convolution1DTranspose",
]
)
class Conv1DTranspose(BaseConvTranspose):
"""1D transposed convolution ... | fcholletREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@layers@convolutional@conv1d_transpose.py@.PATH_END.py |
{
"filename": "test_containers.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/src/integrations/prefect-docker/tests/test_containers.py",
"type": "Python"
} | from unittest.mock import MagicMock
from prefect_docker.containers import (
create_docker_container,
get_docker_container_logs,
remove_docker_container,
start_docker_container,
stop_docker_container,
)
from prefect.logging import disable_run_logger
class TestCreateDockerContainer:
async def ... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@src@integrations@prefect-docker@tests@test_containers.py@.PATH_END.py |
{
"filename": "ComponentGetterImpl.py",
"repo_name": "ACS-Community/ACS",
"repo_path": "ACS_extracted/ACS-master/LGPL/CommonSoftware/containerTests/corbaRefPersistenceTest/test/demoImpl/ComponentGetterImpl.py",
"type": "Python"
} | import demo__POA
from Acspy.Servants.ContainerServices import ContainerServices
from Acspy.Servants.ComponentLifecycle import ComponentLifecycle
from Acspy.Servants.ACSComponent import ACSComponent
class ComponentGetterImpl(demo__POA.ComponentGetter,
ACSComponent,
... | ACS-CommunityREPO_NAMEACSPATH_START.@ACS_extracted@ACS-master@LGPL@CommonSoftware@containerTests@corbaRefPersistenceTest@test@demoImpl@ComponentGetterImpl.py@.PATH_END.py |
{
"filename": "_extract.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/sparse/_extract.py",
"type": "Python"
} | """Functions to extract parts of sparse matrices
"""
__docformat__ = "restructuredtext en"
__all__ = ['find', 'tril', 'triu']
from ._coo import coo_matrix, coo_array
from ._base import sparray
def find(A):
"""Return the indices and values of the nonzero elements of a matrix
Parameters
----------
... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@sparse@_extract.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/ipywidgets/py3/ipywidgets/__init__.py",
"type": "Python"
} | # Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
"""Interactive widgets for the Jupyter notebook.
Provide simple interactive controls in the notebook.
Each Widget corresponds to an object in Python and Javascript,
with controls on the page.
To put a Widget on the p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@ipywidgets@py3@ipywidgets@__init__.py@.PATH_END.py |
{
"filename": "run_PPDC_tests.py",
"repo_name": "SPARTA-dev/SPARTA",
"repo_path": "SPARTA_extracted/SPARTA-master/examples/Partial Distance Correlation Periodogram/run_PPDC_tests.py",
"type": "Python"
} | # ----------------------------------------
# run_PPDC_tests.py (SPARTA file)
# ----------------------------------------
# This file contains a few functions, used in the example notebooks to demonstrate the partial PDC periodograms.
#
# This file stores the follow... | SPARTA-devREPO_NAMESPARTAPATH_START.@SPARTA_extracted@SPARTA-master@examples@Partial Distance Correlation Periodogram@run_PPDC_tests.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "njcuk9999/apero-drs",
"repo_path": "apero-drs_extracted/apero-drs-main/apero/tools/module/setup/__init__.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
# CODE NAME HERE
# CODE DESCRIPTION HERE
Created on 2019-02-13 at 16:35
@author: cook
"""
__all__ = []
# =============================================================================
# Define functions
# =============================================================... | njcuk9999REPO_NAMEapero-drsPATH_START.@apero-drs_extracted@apero-drs-main@apero@tools@module@setup@__init__.py@.PATH_END.py |
{
"filename": "api.md",
"repo_name": "tigerchenlu98/rebound",
"repo_path": "rebound_extracted/rebound-main/docs/api.md",
"type": "Markdown"
} | # REBOUND API
These pages describe the main features of REBOUND and its API.
There are two structures (*objects* in Python) which you will encounter frequently when working with REBOUND.
The first is the [Simulation structure](simulation.md) which contains all the configuration, status and particle data of one REBOUND... | tigerchenlu98REPO_NAMEreboundPATH_START.@rebound_extracted@rebound-main@docs@api.md@.PATH_END.py |
{
"filename": "_categoryorder.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/carpet/baxis/_categoryorder.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="categoryorder", parent_name="carpet.baxis", **kwargs
):
super(CategoryorderValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@carpet@baxis@_categoryorder.py@.PATH_END.py |
{
"filename": "spectral_metric.py",
"repo_name": "ucl-exoplanets/ADC2023-baseline",
"repo_path": "ADC2023-baseline_extracted/ADC2023-baseline-main/spectral_metric.py",
"type": "Python"
} | import numpy as np
from posterior_utils import default_prior_bounds,restrict_to_prior
from FM_utils_final import *
def L2_loss(truth, predicted):
"""Simple MSE"""
return np.mean(np.square(truth-predicted))
def L1_loss(truth, predicted):
"""Simple MAE"""
return np.mean(np.abs(truth-predicted))
def hube... | ucl-exoplanetsREPO_NAMEADC2023-baselinePATH_START.@ADC2023-baseline_extracted@ADC2023-baseline-main@spectral_metric.py@.PATH_END.py |
{
"filename": "mel_ops.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/ops/signal/mel_ops.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@ops@signal@mel_ops.py@.PATH_END.py |
{
"filename": "_version.py",
"repo_name": "pyFFTW/pyFFTW",
"repo_path": "pyFFTW_extracted/pyFFTW-master/pyfftw/_version.py",
"type": "Python"
} |
# This file helps to compute a version number in source trees obtained from
# git-archive tarball (such as those provided by githubs download-from-tag
# feature). Distribution tarballs (built by setup.py sdist) and build
# directories (produced by setup.py build) will contain a much shorter file
# that just contains t... | pyFFTWREPO_NAMEpyFFTWPATH_START.@pyFFTW_extracted@pyFFTW-master@pyfftw@_version.py@.PATH_END.py |
{
"filename": "ECHO_server.py",
"repo_name": "dannyjacobs/ECHO",
"repo_path": "ECHO_extracted/ECHO-master/scripts/old/ECHO_server.py",
"type": "Python"
} | #! /usr/bin/env python
'''
Author: Jacob Burba
ECHO_server.py initiates a queriable Flask server that contains GPS positions for the drone.
The GPS information is read in from the user specified output file from ECHO_GET_GPS.py
and then broadcast via 10.1.1.1:5000, where the port 5000 is the default p... | dannyjacobsREPO_NAMEECHOPATH_START.@ECHO_extracted@ECHO-master@scripts@old@ECHO_server.py@.PATH_END.py |
{
"filename": "required_by_vounit.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/units/required_by_vounit.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
This package defines SI prefixed units that are required by the VOUnit standard
but that are rarely used in practice and liable to lead to confusion (such as
``msolMass`` for milli-solar mass). They are in a separate module from
`astropy.units.deprecat... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@units@required_by_vounit.py@.PATH_END.py |
{
"filename": "_ordering.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/transition/_ordering.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class OrderingValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="ordering", parent_name="layout.transition", **kwargs
):
super(OrderingValidator, self).__init__(
plotly_name=plotly_name,
pare... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@transition@_ordering.py@.PATH_END.py |
{
"filename": "graphics_functional_fboxplot.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/docs/source/plots/graphics_functional_fboxplot.py",
"type": "Python"
} | """
Created on Fri May 04 11:10:51 2012
Author: Ralf Gommers
"""
#Load the El Nino dataset. Consists of 60 years worth of Pacific Ocean sea
#surface temperature data.
import matplotlib.pyplot as plt
import numpy as np
import statsmodels.api as sm
data = sm.datasets.elnino.load()
#Create a functional boxplot. ... | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@docs@source@plots@graphics_functional_fboxplot.py@.PATH_END.py |
{
"filename": "isomap.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scikit-learn/py2/sklearn/manifold/isomap.py",
"type": "Python"
} | """Isomap for manifold learning"""
# Author: Jake Vanderplas -- <vanderplas@astro.washington.edu>
# License: BSD 3 clause (C) 2011
import numpy as np
from ..base import BaseEstimator, TransformerMixin
from ..neighbors import NearestNeighbors, kneighbors_graph
from ..utils import check_array
from ..utils.graph import... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scikit-learn@py2@sklearn@manifold@isomap.py@.PATH_END.py |
{
"filename": "run_tempo.py",
"repo_name": "Fermipy/fermipy",
"repo_path": "fermipy_extracted/fermipy-master/fermipy/scripts/run_tempo.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import absolute_import, division, print_function
import os
import sys
import argparse
import tempfile
import re
import shutil
import logging
from fermipy.batch import submit_jobs, add_lsf_args
from fermipy.utils import mkdir
from fermipy.l... | FermipyREPO_NAMEfermipyPATH_START.@fermipy_extracted@fermipy-master@fermipy@scripts@run_tempo.py@.PATH_END.py |
{
"filename": "_scons_subprocess.py",
"repo_name": "duvall3/rat-pac",
"repo_path": "rat-pac_extracted/rat-pac-master/python/SCons/compat/_scons_subprocess.py",
"type": "Python"
} | # subprocess - Subprocesses with accessible I/O streams
#
# For more information about this module, see PEP 324.
#
# This module should remain compatible with Python 2.2, see PEP 291.
#
# Copyright (c) 2003-2005 by Peter Astrand <astrand@lysator.liu.se>
#
# Licensed to PSF under a Contributor Agreement.
# See http://ww... | duvall3REPO_NAMErat-pacPATH_START.@rat-pac_extracted@rat-pac-master@python@SCons@compat@_scons_subprocess.py@.PATH_END.py |
{
"filename": "colormatch.py",
"repo_name": "alphaparrot/ExoPlaSim",
"repo_path": "ExoPlaSim_extracted/ExoPlaSim-master/exoplasim/colormatch.py",
"type": "Python"
} | import numpy as np
from scipy import interpolate
cie_wvl,cie_xx,cie_yy,cie_zz = np.loadtxt("/".join(__file__.split("/")[:-1])+"/cmf.csv",unpack=True,delimiter=',')
def _loadcie():
wvl,xx,yy,zz = np.loadtxt("/".join(__file__.split("/")[:-1])+"/cmf.csv",unpack=True,delimiter=',')
return wvl,xx,yy,zz
def ... | alphaparrotREPO_NAMEExoPlaSimPATH_START.@ExoPlaSim_extracted@ExoPlaSim-master@exoplasim@colormatch.py@.PATH_END.py |
{
"filename": "_scattersmith.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/layout/template/data/_scattersmith.py",
"type": "Python"
} | from plotly.graph_objs import Scattersmith
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@layout@template@data@_scattersmith.py@.PATH_END.py |
{
"filename": "trajectory.py",
"repo_name": "blackjax-devs/blackjax",
"repo_path": "blackjax_extracted/blackjax-main/blackjax/mcmc/trajectory.py",
"type": "Python"
} | # Copyright 2020- The Blackjax Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | blackjax-devsREPO_NAMEblackjaxPATH_START.@blackjax_extracted@blackjax-main@blackjax@mcmc@trajectory.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "deepskies/deeplenstronomy",
"repo_path": "deeplenstronomy_extracted/deeplenstronomy-master/exploded_setup_old/test/__init__.py",
"type": "Python"
} | deepskiesREPO_NAMEdeeplenstronomyPATH_START.@deeplenstronomy_extracted@deeplenstronomy-master@exploded_setup_old@test@__init__.py@.PATH_END.py | |
{
"filename": "equalization.py",
"repo_name": "fchollet/keras",
"repo_path": "keras_extracted/keras-master/keras/src/layers/preprocessing/image_preprocessing/equalization.py",
"type": "Python"
} | from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.layers.preprocessing.image_preprocessing.base_image_preprocessing_layer import ( # noqa: E501
BaseImagePreprocessingLayer,
)
@keras_export("keras.layers.Equalization")
class Equalization(BaseImagePreprocessingLayer):
"... | fcholletREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@layers@preprocessing@image_preprocessing@equalization.py@.PATH_END.py |
{
"filename": "HelloWorld.py",
"repo_name": "ACS-Community/ACS",
"repo_path": "ACS_extracted/ACS-master/LGPL/CommonSoftware/containerTests/corbaRefPersistenceTest/test/pythonImpl/HelloWorld.py",
"type": "Python"
} | # @(#) $Id: HelloWorld.py,v 1.1 2008/04/02 13:22:01 acaproni Exp $
#
# Copyright (C) 2001
# Associated Universities, Inc. Washington DC, USA.
#
# Produced for the ALMA project
#
# This library is free software; you can redistribute it and/or modify it under
# the terms of the GNU Library General Public License as publi... | ACS-CommunityREPO_NAMEACSPATH_START.@ACS_extracted@ACS-master@LGPL@CommonSoftware@containerTests@corbaRefPersistenceTest@test@pythonImpl@HelloWorld.py@.PATH_END.py |
{
"filename": "_name.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/image/_name.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="name", parent_name="image", **kwargs):
super(NameValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@image@_name.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "AWehrhahn/PyReduce",
"repo_path": "PyReduce_extracted/PyReduce-master/pyreduce/__init__.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# Define Version
from ._version import get_versions
__version__ = get_versions()["version"]
del get_versions
# add logger to console
import logging
import tqdm
# We need to use this to have logging messages handle properly with the progressbar
class TqdmLoggingHandler(logging.Handler):
... | AWehrhahnREPO_NAMEPyReducePATH_START.@PyReduce_extracted@PyReduce-master@pyreduce@__init__.py@.PATH_END.py |
{
"filename": "plotqdotabund.py",
"repo_name": "artis-mcrt/artistools",
"repo_path": "artistools_extracted/artistools-main/artistools/gsinetwork/plotqdotabund.py",
"type": "Python"
} | # PYTHON_ARGCOMPLETE_OK
import argparse
import contextlib
import math
import string
import typing as t
from collections.abc import Sequence
from functools import partial
from pathlib import Path
import argcomplete
import matplotlib.pyplot as plt
import numpy as np
import numpy.typing as npt
import pandas as pd
import... | artis-mcrtREPO_NAMEartistoolsPATH_START.@artistools_extracted@artistools-main@artistools@gsinetwork@plotqdotabund.py@.PATH_END.py |
{
"filename": "resetdb.py",
"repo_name": "juanep97/iop4",
"repo_path": "iop4_extracted/iop4-main/iop4site/resetdb.py",
"type": "Python"
} | #!/usr/bin/env python
"""Script to reset the database, keeping the users and catalog data. USE WITH CARE."""
# iop4lib config
import iop4lib
iop4conf = iop4lib.Config(config_db=False)
# other imports
import os
from datetime import datetime
from termcolor import colored, cprint
manage_fpath = f"{iop4conf.basedir}/iop... | juanep97REPO_NAMEiop4PATH_START.@iop4_extracted@iop4-main@iop4site@resetdb.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "oliverphilcox/PolyBin3D",
"repo_path": "PolyBin3D_extracted/PolyBin3D-main/README.md",
"type": "Markdown"
} | # PolyBin3D
PolyBin3D is a Python code that estimates the binned power spectrum and bispectrum for 3D fields such as the distributions of matter and galaxies, using the algorithms of [Philcox 2020](https://arxiv.org/abs/2012.09389), [Philcox 2021](https://arxiv.org/abs/2107.06287), [Ivanov et al. 2023](https://arxiv.or... | oliverphilcoxREPO_NAMEPolyBin3DPATH_START.@PolyBin3D_extracted@PolyBin3D-main@README.md@.PATH_END.py |
{
"filename": "exec_calcos_for_darks.py",
"repo_name": "kimakan/FaintCOS",
"repo_path": "FaintCOS_extracted/FaintCOS-master/optional/exec_calcos_for_darks.py",
"type": "Python"
} | """This module uses CALCOS to reduce all rawtag files in the folder.
The reduced files (corrtags) are stored in the folder "reduced".
All obsolete files (flt_a.fits, counts_a.fits etc.) will be
automatically removed.
"""
import subprocess, sys, os
all_files = os.listdir(".")
files = []
for f in all_files:
fil... | kimakanREPO_NAMEFaintCOSPATH_START.@FaintCOS_extracted@FaintCOS-master@optional@exec_calcos_for_darks.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/layout/grid/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._domain import Domain
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(__name__, [], ["._domain.Domain"])
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@layout@grid@__init__.py@.PATH_END.py |
{
"filename": "test_retrieval.py",
"repo_name": "MartianColonist/POSEIDON",
"repo_path": "POSEIDON_extracted/POSEIDON-main/tests/test_retrieval.py",
"type": "Python"
} | import pytest
def test_continuum_retrieval():
'''
Test POSEIDON's retrieval functionality on a synthetic WASP-121b
transmission spectrum only including H-, H2-H2 and H2-He CIA, and Rayleigh
scattering (i.e. a continuum-only retrieval).
'''
from POSEIDON.constants import R_Sun, R_J
f... | MartianColonistREPO_NAMEPOSEIDONPATH_START.@POSEIDON_extracted@POSEIDON-main@tests@test_retrieval.py@.PATH_END.py |
{
"filename": "demo_ROS_vehicle.py",
"repo_name": "projectchrono/chrono",
"repo_path": "chrono_extracted/chrono-main/src/demos/python/ros/demo_ROS_vehicle.py",
"type": "Python"
} | # =============================================================================
# PROJECT CHRONO - http://projectchrono.org
#
# Copyright (c) 2021 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_vehicle.py@.PATH_END.py |
{
"filename": "_customdata.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/ohlc/_customdata.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="customdata", parent_name="ohlc", **kwargs):
super(CustomdataValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@ohlc@_customdata.py@.PATH_END.py |
{
"filename": "models.py",
"repo_name": "lsst-uk/lasair-lsst",
"repo_path": "lasair-lsst_extracted/lasair-lsst-main/webserver/lasair/apps/watchlist/models.py",
"type": "Python"
} | from django.db import models
# A WATCHLIST IS OWNED BY A USER AND GIVEN A NAME AND DESCRIPTION
# ONLY ACTIVE WATCHLISTS ARE RUN AGAINST THE REALTIME INGESTION
# THE PREQUEL_WHERE CAN BE USED TO SELECT WHICH CANDIDATES ARE COMPARED WITH THE WATCHLIST
from django.contrib.auth.models import User
class WatchlistCone(mode... | lsst-ukREPO_NAMElasair-lsstPATH_START.@lasair-lsst_extracted@lasair-lsst-main@webserver@lasair@apps@watchlist@models.py@.PATH_END.py |
{
"filename": "_mesh3d.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/template/data/_mesh3d.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class Mesh3DValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
def __init__(
self, plotly_name="mesh3d", parent_name="layout.template.data", **kwargs
):
super(Mesh3DValidator, self).__init__(
plotly_name=plotly_name,
pare... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@template@data@_mesh3d.py@.PATH_END.py |
{
"filename": "_sizesrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/choropleth/hoverlabel/font/_sizesrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="sizesrc", parent_name="choropleth.hoverlabel.font", **kwargs
):
super(SizesrcValidator, self).__init__(
plotly_name=plotly_name,
paren... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@choropleth@hoverlabel@font@_sizesrc.py@.PATH_END.py |
{
"filename": "parse_log.py",
"repo_name": "sdss/idlspec2d",
"repo_path": "idlspec2d_extracted/idlspec2d-master/python/boss_drp/utils/daily_log/parse_log.py",
"type": "Python"
} | from boss_drp.utils.daily_log.Flag import *
from boss_drp.utils.chpc2html import chpc2html
from boss_drp.field import field_to_string as f2s
from boss_drp.field import field_dir, field_spec_dir, field_png_dir
import pandas as pd
import os.path as ptt
import re
from collections import OrderedDict
import numpy as np
imp... | sdssREPO_NAMEidlspec2dPATH_START.@idlspec2d_extracted@idlspec2d-master@python@boss_drp@utils@daily_log@parse_log.py@.PATH_END.py |
{
"filename": "spectral_extraction.py",
"repo_name": "Keck-DataReductionPipelines/KPF-Pipeline",
"repo_path": "KPF-Pipeline_extracted/KPF-Pipeline-master/modules/spectral_extraction/src/spectral_extraction.py",
"type": "Python"
} | # Standard dependencies
"""
This module defines class SpectralExtraction which inherits from `KPF0_Primitive` and provides methods to perform
the event on spectral extraction in the recipe.
Description:
* Method `__init__`:
SpectralExtraction constructor, the following arguments are pa... | Keck-DataReductionPipelinesREPO_NAMEKPF-PipelinePATH_START.@KPF-Pipeline_extracted@KPF-Pipeline-master@modules@spectral_extraction@src@spectral_extraction.py@.PATH_END.py |
{
"filename": "test_utils.py",
"repo_name": "gmzsebastian/SLSNe",
"repo_path": "SLSNe_extracted/SLSNe-main/slsne/tests/test_utils.py",
"type": "Python"
} | from ..utils import (define_filters, get_cenwave, quick_cenwave_zeropoint,
check_filters, plot_colors, get_lc, calc_flux_lum)
from astropy.table import Table
import os
import pytest
import numpy as np
from astropy import units as u
@pytest.fixture
def data_dir():
# Get directory with referenc... | gmzsebastianREPO_NAMESLSNePATH_START.@SLSNe_extracted@SLSNe-main@slsne@tests@test_utils.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "google/flax",
"repo_path": "flax_extracted/flax-main/flax/nnx/bridge/__init__.py",
"type": "Python"
} | # Copyright 2024 The Flax Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | googleREPO_NAMEflaxPATH_START.@flax_extracted@flax-main@flax@nnx@bridge@__init__.py@.PATH_END.py |
{
"filename": "_weight.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/histogram/insidetextfont/_weight.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WeightValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="weight", parent_name="histogram.insidetextfont", **kwargs
):
super(WeightValidator, self).__init__(
plotly_name=plotly_name,
parent... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@histogram@insidetextfont@_weight.py@.PATH_END.py |
{
"filename": "tycho_3d.py",
"repo_name": "lucabaldini/ixpeobssim",
"repo_path": "ixpeobssim_extracted/ixpeobssim-main/ixpeobssim/config/tycho_3d.py",
"type": "Python"
} | #!/usr/bin/env python
#
# Copyright (C) 2019, the ixpe team.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU GengReral Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
#
# Thi... | lucabaldiniREPO_NAMEixpeobssimPATH_START.@ixpeobssim_extracted@ixpeobssim-main@ixpeobssim@config@tycho_3d.py@.PATH_END.py |
{
"filename": "base_test.py",
"repo_name": "deepmind/optax",
"repo_path": "optax_extracted/optax-main/optax/_src/base_test.py",
"type": "Python"
} | # Copyright 2021 DeepMind Technologies Limited. 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 ... | deepmindREPO_NAMEoptaxPATH_START.@optax_extracted@optax-main@optax@_src@base_test.py@.PATH_END.py |
{
"filename": "test_old_outputs.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/frontends/ytdata/tests/test_old_outputs.py",
"type": "Python"
} | """
ytdata frontend tests using enzo_tiny_cosmology
"""
import os
import shutil
import tempfile
import numpy as np
from yt.data_objects.api import create_profile
from yt.frontends.ytdata.api import (
YTDataContainerDataset,
YTGridDataset,
YTNonspatialDataset,
YTProfileDataset,
YTSpatialPlotDat... | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@frontends@ytdata@tests@test_old_outputs.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py2/scipy/optimize/_trlib/setup.py",
"type": "Python"
} | from __future__ import division, print_function, absolute_import
def configuration(parent_package='', top_path=None):
from numpy import get_include
from scipy._build_utils.system_info import get_info, NotFoundError
from numpy.distutils.misc_util import Configuration
from os.path import join, dirna... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py2@scipy@optimize@_trlib@setup.py@.PATH_END.py |
{
"filename": "validation-cholesteric.ipynb",
"repo_name": "PyEllips/pyElli",
"repo_path": "pyElli_extracted/pyElli-master/examples/Liquid crystals/validation-cholesteric.ipynb",
"type": "Jupyter Notebook"
} | # Example of a cholesteric liquid crystal
Author: O. Castany, C. Molinaro, M. Müller
```python
import elli
import elli.plot as elliplot
import matplotlib.pyplot as plt
import numpy as np
from numpy.lib.scimath import sqrt
from scipy.constants import c, pi
```
## Set parameters
```python
# Materials
front = back =... | PyEllipsREPO_NAMEpyElliPATH_START.@pyElli_extracted@pyElli-master@examples@Liquid crystals@validation-cholesteric.ipynb@.PATH_END.py |
{
"filename": "pypdfdirectory.ipynb",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/docs/docs/integrations/document_loaders/pypdfdirectory.ipynb",
"type": "Jupyter Notebook"
} | # PyPDFDirectoryLoader
This loader loads all PDF files from a specific directory.
## Overview
### Integration details
| Class | Package | Local | Serializable | JS support|
| :--- | :--- | :---: | :---: | :---: |
| [PyPDFDirectoryLoader](https://python.langchain.com/api_reference/community/document_loaders/langcha... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@docs@docs@integrations@document_loaders@pypdfdirectory.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/tests/test_optional/test_autoshapes/__init__.py",
"type": "Python"
} | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@tests@test_optional@test_autoshapes@__init__.py@.PATH_END.py | |
{
"filename": "_color.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattergl/selected/textfont/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="scattergl.selected.textfont", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattergl@selected@textfont@_color.py@.PATH_END.py |
{
"filename": "_stream.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/image/_stream.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="stream", parent_name="image", **kwargs):
super(StreamValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
d... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@image@_stream.py@.PATH_END.py |
{
"filename": "spirou_pol_pipeline.py",
"repo_name": "edermartioli/spirou-polarimetry",
"repo_path": "spirou-polarimetry_extracted/spirou-polarimetry-master/spirou_pol_pipeline.py",
"type": "Python"
} | # -*- coding: iso-8859-1 -*-
"""
Created on April 29 2020
Description: This routine identifies and reduce all polarimetric sequences in a given data set.
@author: Eder Martioli <martioli@iap.fr>
Institut d'Astrophysique de Paris, France.
Simple usage example:
python ~/sp... | edermartioliREPO_NAMEspirou-polarimetryPATH_START.@spirou-polarimetry_extracted@spirou-polarimetry-master@spirou_pol_pipeline.py@.PATH_END.py |
{
"filename": "pca.py",
"repo_name": "changhoonhahn/provabgs",
"repo_path": "provabgs_extracted/provabgs-main/bin/pca.py",
"type": "Python"
} | '''
compress training set into PCA components and save to pickle file
'''
import os, sys
import pickle
import numpy as np
# --- speculator ---
from speculator import SpectrumPCA
if os.environ['machine'] == 'cori':
dat_dir='/global/cscratch1/sd/chahah/provabgs/emulator/' # hardcoded to NERSC directory
elif os... | changhoonhahnREPO_NAMEprovabgsPATH_START.@provabgs_extracted@provabgs-main@bin@pca.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "gmbrandt/HTOF",
"repo_path": "HTOF_extracted/HTOF-main/setup.py",
"type": "Python"
} | from setuptools import setup, find_packages
setup(name='htof',
author='G. Mirek Brandt, Daniel Michalik, Gavin K. Hung',
version='1.1.5',
python_requires='>=3.6',
packages=find_packages(),
package_dir={'htof': 'htof'},
package_data={'htof': ['data/*.csv', 'data/*.txt']},
setup... | gmbrandtREPO_NAMEHTOFPATH_START.@HTOF_extracted@HTOF-main@setup.py@.PATH_END.py |
{
"filename": "azuresearch.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/vectorstores/azuresearch.py",
"type": "Python"
} | from __future__ import annotations
import asyncio
import base64
import itertools
import json
import logging
import time
import uuid
from typing import (
TYPE_CHECKING,
Any,
Callable,
ClassVar,
Collection,
Dict,
Iterable,
List,
Literal,
Optional,
Tuple,
Type,
Union,
... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@vectorstores@azuresearch.py@.PATH_END.py |
{
"filename": "conftest.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/tests/test_optional/test_px/conftest.py",
"type": "Python"
} | import pandas as pd
import polars as pl
import pyarrow as pa
import pytest
from narwhals.typing import IntoDataFrame
from narwhals.utils import parse_version
def pandas_constructor(obj) -> IntoDataFrame:
return pd.DataFrame(obj) # type: ignore[no-any-return]
def pandas_nullable_constructor(obj) -> IntoDataFra... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@tests@test_optional@test_px@conftest.py@.PATH_END.py |
{
"filename": "tssproduce.py",
"repo_name": "sirocco-rt/sirocco",
"repo_path": "sirocco_extracted/sirocco-main/py_progs/py4py/scripts/tssproduce.py",
"type": "Python"
} | """
Produces a set of CARAMEL and MEMECHO-format synthetic lightcurves from a set of models.
"""
# -*- coding: utf-8 -*-
import py4py.reverb.timeseries.output as tss_output
import py4py.reverb.timeseries.input as tss_import
import py4py.reverb.timeseries.process as tss_process
import astropy as ap
from astropy import ... | sirocco-rtREPO_NAMEsiroccoPATH_START.@sirocco_extracted@sirocco-main@py_progs@py4py@scripts@tssproduce.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/layout/scene/yaxis/title/__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"])
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@layout@scene@yaxis@title@__init__.py@.PATH_END.py |
{
"filename": "tools.ipynb",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/cli/langchain_cli/integration_template/docs/tools.ipynb",
"type": "Jupyter Notebook"
} | ---
sidebar_label: __ModuleName__
---
# __ModuleName__
- TODO: Make sure API reference link is correct.
This notebook provides a quick overview for getting started with __ModuleName__ [tool](/docs/integrations/tools/). For detailed documentation of all __ModuleName__ features and configurations head to the [API refer... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@cli@langchain_cli@integration_template@docs@tools.ipynb@.PATH_END.py |
{
"filename": "platforms.md",
"repo_name": "google/googletest",
"repo_path": "googletest_extracted/googletest-main/docs/platforms.md",
"type": "Markdown"
} | # Supported Platforms
GoogleTest follows Google's
[Foundational C++ Support Policy](https://opensource.google/documentation/policies/cplusplus-support).
See
[this table](https://github.com/google/oss-policies-info/blob/main/foundational-cxx-support-matrix.md)
for a list of currently supported versions compilers, platf... | googleREPO_NAMEgoogletestPATH_START.@googletest_extracted@googletest-main@docs@platforms.md@.PATH_END.py |
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