metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "ClassReCluster.py",
"repo_name": "saopicc/killMS",
"repo_path": "killMS_extracted/killMS-master/killMS/Data/ClassReCluster.py",
"type": "Python"
} | #!/usr/bin/env python
"""
killMS, a package for calibration in radio interferometry.
Copyright (C) 2013-2017 Cyril Tasse, l'Observatoire de Paris,
SKA South Africa, Rhodes University
This program is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License
as published ... | saopiccREPO_NAMEkillMSPATH_START.@killMS_extracted@killMS-master@killMS@Data@ClassReCluster.py@.PATH_END.py |
{
"filename": "poet_1event.py",
"repo_name": "kevin218/POET",
"repo_path": "POET_extracted/POET-master/code/lib/poet_1event.py",
"type": "Python"
} | # $Author: patricio $
# $Revision: 302 $
# $Date: 2010-07-10 01:35:30 -0400 (Sat, 10 Jul 2010) $
# $HeadURL: file:///home/esp01/svn/code/python/branches/patricio/photpipe/lib/poet_1event.py $
# $Id: poet_1event.py 302 2010-07-10 05:35:30Z patricio $
import os, sys, re, time
#FINDME Megan added this
#if '/Users/megan/... | kevin218REPO_NAMEPOETPATH_START.@POET_extracted@POET-master@code@lib@poet_1event.py@.PATH_END.py |
{
"filename": "ccd.py",
"repo_name": "roman-corgi/emccd_detect",
"repo_path": "emccd_detect_extracted/emccd_detect-master/arcticpy_folder/build/lib/arcticpy/ccd.py",
"type": "Python"
} | import numpy as np
from copy import deepcopy
from arcticpy import util
import arcticpy as ac
class CCD(object):
def __init__(
self,
fraction_of_traps_per_phase=[1],
full_well_depth=1e4,
well_notch_depth=0.0,
well_fill_power=0.58,
well_bloom_level=None,
):
... | roman-corgiREPO_NAMEemccd_detectPATH_START.@emccd_detect_extracted@emccd_detect-master@arcticpy_folder@build@lib@arcticpy@ccd.py@.PATH_END.py |
{
"filename": "demo_ticklabel_direction.py",
"repo_name": "matplotlib/matplotlib",
"repo_path": "matplotlib_extracted/matplotlib-main/galleries/examples/axisartist/demo_ticklabel_direction.py",
"type": "Python"
} | """
===================
Ticklabel direction
===================
"""
import matplotlib.pyplot as plt
import mpl_toolkits.axisartist.axislines as axislines
def setup_axes(fig, pos):
ax = fig.add_subplot(pos, axes_class=axislines.Axes)
ax.set_yticks([0.2, 0.8])
ax.set_xticks([0.2, 0.8])
return ax
fi... | matplotlibREPO_NAMEmatplotlibPATH_START.@matplotlib_extracted@matplotlib-main@galleries@examples@axisartist@demo_ticklabel_direction.py@.PATH_END.py |
{
"filename": "EnthalpyVarianceEquation.py",
"repo_name": "mmicromegas/ransX",
"repo_path": "ransX_extracted/ransX-master/EQUATIONS/EnthalpyVarianceEquation.py",
"type": "Python"
} | import numpy as np
import matplotlib.pyplot as plt
from UTILS.Calculus import Calculus
from UTILS.SetAxisLimit import SetAxisLimit
from UTILS.Tools import Tools
from UTILS.Errors import Errors
import sys
# Theoretical background https://arxiv.org/abs/1401.5176
# Mocak, Meakin, Viallet, Arnett, 2014, Compressible Hyd... | mmicromegasREPO_NAMEransXPATH_START.@ransX_extracted@ransX-master@EQUATIONS@EnthalpyVarianceEquation.py@.PATH_END.py |
{
"filename": "plot_save_mesa_comparison_panels_acc_fin.py",
"repo_name": "NikolayBritavskiyAstro/fast_rotating_binaries",
"repo_path": "fast_rotating_binaries_extracted/fast_rotating_binaries-main/src/scripts/plot_save_mesa_comparison_panels_acc_fin.py",
"type": "Python"
} | import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
import numpy as np
import os
import mesaPlot as mp
from showyourwork.paths import user as Paths
paths = Paths()
if os.path.exists(os.path.join(paths.data, 'acceleration/HD191495_mesa/LOGS1/history.data')):
pass
else:
os.syste... | NikolayBritavskiyAstroREPO_NAMEfast_rotating_binariesPATH_START.@fast_rotating_binaries_extracted@fast_rotating_binaries-main@src@scripts@plot_save_mesa_comparison_panels_acc_fin.py@.PATH_END.py |
{
"filename": "activations.py",
"repo_name": "ultralytics/yolov5",
"repo_path": "yolov5_extracted/yolov5-master/utils/activations.py",
"type": "Python"
} | # Ultralytics YOLOv5 🚀, AGPL-3.0 license
"""Activation functions."""
import torch
import torch.nn as nn
import torch.nn.functional as F
class SiLU(nn.Module):
"""Applies the Sigmoid-weighted Linear Unit (SiLU) activation function, also known as Swish."""
@staticmethod
def forward(x):
"""
... | ultralyticsREPO_NAMEyolov5PATH_START.@yolov5_extracted@yolov5-master@utils@activations.py@.PATH_END.py |
{
"filename": "materials_db.py",
"repo_name": "PyEllips/pyElli",
"repo_path": "pyElli_extracted/pyElli-master/src/elli/database/materials_db.py",
"type": "Python"
} | # Encoding: utf-8
from ..dispersions import ConstantRefractiveIndex
from ..materials import IsotropicMaterial
AIR = IsotropicMaterial(ConstantRefractiveIndex(n=1))
| PyEllipsREPO_NAMEpyElliPATH_START.@pyElli_extracted@pyElli-master@src@elli@database@materials_db.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "MarcoMuellner/SMURFS",
"repo_path": "SMURFS_extracted/SMURFS-master/smurfs/smurfs_cli/__init__.py",
"type": "Python"
} | MarcoMuellnerREPO_NAMESMURFSPATH_START.@SMURFS_extracted@SMURFS-master@smurfs@smurfs_cli@__init__.py@.PATH_END.py | |
{
"filename": "test_templating.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/partners/prompty/tests/unit_tests/test_templating.py",
"type": "Python"
} | from pathlib import Path
import pytest
from langchain_prompty import create_chat_prompt
PROMPT_DIR = Path(__file__).parent / "prompts"
def test_double_templating() -> None:
"""
Assess whether double templating occurs when invoking a chat prompt.
If it does, an error is thrown and the test fails.
""... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@partners@prompty@tests@unit_tests@test_templating.py@.PATH_END.py |
{
"filename": "defaults.py",
"repo_name": "MNGuenther/allesfitter",
"repo_path": "allesfitter_extracted/allesfitter-master/allesfitter/v2/defaults.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Apr 8 18:34:28 2020
@author:
Maximilian N. Günther
MIT Kavli Institute for Astrophysics and Space Research,
Massachusetts Institute of Technology,
77 Massachusetts Avenue,
Cambridge, MA 02109,
USA
Email: maxgue@mit.edu
Web: www.mnguenther.com
"""
fr... | MNGuentherREPO_NAMEallesfitterPATH_START.@allesfitter_extracted@allesfitter-master@allesfitter@v2@defaults.py@.PATH_END.py |
{
"filename": "logic.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/lite/testing/op_tests/logic.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@lite@testing@op_tests@logic.py@.PATH_END.py |
{
"filename": "getVariables.py",
"repo_name": "fmihpc/analysator",
"repo_path": "analysator_extracted/analysator-master/projects/DiffusionScripts/getVariables.py",
"type": "Python"
} | import pytools as pt
import numpy as np
import sys,os
run = sys.argv[1]
folder = sys.argv[2]
bulkStart = int(sys.argv[3])
bulkEnd = int(sys.argv[4])
interval = int(sys.argv[5])
timetot = range(bulkStart, bulkEnd-interval+1,1)
path_bulk = "/scratch/project_2000203/dubartma/"+run+'/'+folder+'/bulk/'
path_save = ... | fmihpcREPO_NAMEanalysatorPATH_START.@analysator_extracted@analysator-master@projects@DiffusionScripts@getVariables.py@.PATH_END.py |
{
"filename": "test_distortion_correct_with_wavelength_solution.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/geminidr/gmos/tests/spect/test_distortion_correct_with_wavelength_solution.py",
"type": "Python"
} | #!/usr/bin/env python
"""
Tests related to GMOS Long-slit Spectroscopy Arc primitives.
Notes
-----
- The `indirect` argument on `@pytest.mark.parametrize` fixture forces the
`ad` and `ad_ref` fixtures to be called and the AstroData object returned.
"""
import numpy as np
import os
import pytest
from copy import deep... | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@geminidr@gmos@tests@spect@test_distortion_correct_with_wavelength_solution.py@.PATH_END.py |
{
"filename": "alg.py",
"repo_name": "Keck-DataReductionPipelines/KPF-Pipeline",
"repo_path": "KPF-Pipeline_extracted/KPF-Pipeline-master/modules/radial_velocity/src/alg.py",
"type": "Python"
} | from astropy.io import fits
import numpy as np
from astropy.modeling import models, fitting
from astropy import constants as const
import warnings
import datetime
import pandas as pd
import os
import math
from modules.radial_velocity.src.alg_rv_init import RadialVelocityAlgInit
from modules.radial_velocity.src.alg_rv_... | Keck-DataReductionPipelinesREPO_NAMEKPF-PipelinePATH_START.@KPF-Pipeline_extracted@KPF-Pipeline-master@modules@radial_velocity@src@alg.py@.PATH_END.py |
{
"filename": "cygrid_demo_zea_elliptical.py",
"repo_name": "bwinkel/cygrid",
"repo_path": "cygrid_extracted/cygrid-master/docs/images/cygrid_demo_zea_elliptical.py",
"type": "Python"
} | #!/usr/bin/python
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
from kapteyn import maputils
import matplotlib.pyplot as plt
import cygrid
from astropy.io import fits as pf
from astropy import wcs
... | bwinkelREPO_NAMEcygridPATH_START.@cygrid_extracted@cygrid-master@docs@images@cygrid_demo_zea_elliptical.py@.PATH_END.py |
{
"filename": "flexible_dtypes.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/framework/flexible_dtypes.py",
"type": "Python"
} | # Copyright 2023 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@flexible_dtypes.py@.PATH_END.py |
{
"filename": "tool.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/tools/zapier/tool.py",
"type": "Python"
} | """[DEPRECATED]
## Zapier Natural Language Actions API
\
Full docs here: https://nla.zapier.com/start/
**Zapier Natural Language Actions** gives you access to the 5k+ apps, 20k+ actions
on Zapier's platform through a natural language API interface.
NLA supports apps like Gmail, Salesforce, Trello, Slack, Asana, HubS... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@tools@zapier@tool.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/densitymap/colorbar/_tickvalssrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="tickvalssrc", parent_name="densitymap.colorbar", **kwargs
):
super(TickvalssrcValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@densitymap@colorbar@_tickvalssrc.py@.PATH_END.py |
{
"filename": "train.py",
"repo_name": "Zafiirah13/FRBID",
"repo_path": "FRBID_extracted/FRBID-master/train.py",
"type": "Python"
} | #!/usr/bin/env python
"""
Authors : Zafiirah Hosenie
Email : zafiirah.hosenie@gmail.com or zafiirah.hosenie@postgrad.manchester.ac.uk
Affiliation : The University of Manchester, UK.
License : MIT
Status : Under Development
Description :
Python implementation for FRBID: Fast Radio Burst Intelligent Distinguisher.
This ... | Zafiirah13REPO_NAMEFRBIDPATH_START.@FRBID_extracted@FRBID-master@train.py@.PATH_END.py |
{
"filename": "base_context.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/jedi/py2/jedi/evaluate/base_context.py",
"type": "Python"
} | """
Contexts are the "values" that Python would return. However Contexts are at the
same time also the "contexts" that a user is currently sitting in.
A ContextSet is typically used to specify the return of a function or any other
static analysis operation. In jedi there are always multiple returns and not
just one.
"... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@jedi@py2@jedi@evaluate@base_context.py@.PATH_END.py |
{
"filename": "_size.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattercarpet/selected/marker/_size.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="size", parent_name="scattercarpet.selected.marker", **kwargs
):
super(SizeValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattercarpet@selected@marker@_size.py@.PATH_END.py |
{
"filename": "run_vega_mpi.py",
"repo_name": "andreicuceu/vega",
"repo_path": "vega_extracted/vega-master/bin/run_vega_mpi.py",
"type": "Python"
} | #!/usr/bin/env python
import argparse
import sys
from mpi4py import MPI
from vega import VegaInterface
if __name__ == '__main__':
pars = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
description='Run Vega in parallel.')
pars.add_argument('config', type=str,... | andreicuceuREPO_NAMEvegaPATH_START.@vega_extracted@vega-master@bin@run_vega_mpi.py@.PATH_END.py |
{
"filename": "tfsa-2020-021.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/security/advisory/tfsa-2020-021.md",
"type": "Markdown"
} | ## TFSA-2020-021: Heap buffer overflow in SparseFillEmptyRowsGrad
### CVE Number
CVE-2020-15195
### Impact
The implementation of `SparseFillEmptyRowsGrad` uses a [double indexing
pattern](https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/sparse_fill_empty_r... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@security@advisory@tfsa-2020-021.md@.PATH_END.py |
{
"filename": "test_imaging_data_with_interferometric_changes.py",
"repo_name": "sibirrer/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/test/test_Data/test_imaging_data_with_interferometric_changes.py",
"type": "Python"
} | import numpy as np
import numpy.testing as npt
from lenstronomy.Data.imaging_data import ImageData
def test_interferometry_likelihood():
"""Test interferometry natural weighting likelihood function, test likelihood_method
function output."""
test_data = np.zeros((5, 5))
test_data[0, :] = 1
test_d... | sibirrerREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@test@test_Data@test_imaging_data_with_interferometric_changes.py@.PATH_END.py |
{
"filename": "train_my_forse_copy1.py",
"repo_name": "yaojian95/ForSEplus",
"repo_path": "ForSEplus_extracted/ForSEplus-main/scripts/train_my_forse_copy1.py",
"type": "Python"
} | import ForSEplus
from ForSEplus import my_forse_class
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--output_dirs', type=str, required=True)
parser.add_argument('--patch_file', type=str, required=True)
args = parser.parse_args()
print(args.output_dirs)
print(args.patch_file)
test_forse = m... | yaojian95REPO_NAMEForSEplusPATH_START.@ForSEplus_extracted@ForSEplus-main@scripts@train_my_forse_copy1.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "vislearn/FrEIA",
"repo_path": "FrEIA_extracted/FrEIA-master/FrEIA/modules/__init__.py",
"type": "Python"
} | '''Subclasses of torch.nn.Module, that are reversible and can be used in the
nodes of the GraphINN class. The only additional things that are
needed compared to the base class is an @staticmethod otuput_dims, and the
'rev'-argument of the forward-method.
Abstract template:
* InvertibleModule
Coupling blocks:
* AllI... | vislearnREPO_NAMEFrEIAPATH_START.@FrEIA_extracted@FrEIA-master@FrEIA@modules@__init__.py@.PATH_END.py |
{
"filename": "_column.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/mapbox/domain/_column.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="column", parent_name="layout.mapbox.domain", **kwargs
):
super(ColumnValidator, self).__init__(
plotly_name=plotly_name,
parent_nam... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@mapbox@domain@_column.py@.PATH_END.py |
{
"filename": "L98-59d.ipynb",
"repo_name": "nichollsh/AGNI",
"repo_path": "AGNI_extracted/AGNI-main/misc/L98-59d.ipynb",
"type": "Jupyter Notebook"
} | ```julia
# Import system packages
using Printf
using DelimitedFiles
using Plots
using LaTeXStrings
```
```julia
# Psurf/kbar Msurf/Me Rsurf/Re Fint/ Wm-2
structure = [36.606020371988 1.89635484051907 1.26977486802543 0.1
72.7858858655158 1.8715524695897... | nichollshREPO_NAMEAGNIPATH_START.@AGNI_extracted@AGNI-main@misc@L98-59d.ipynb@.PATH_END.py |
{
"filename": "testMaxMsgSizeSimpleClient.py",
"repo_name": "ACS-Community/ACS",
"repo_path": "ACS_extracted/ACS-master/Benchmark/stress/test/testMaxMsgSizeSimpleClient.py",
"type": "Python"
} | import sys
import time
from Acspy.Clients.SimpleClient import PySimpleClient
remoteComponentName="TESTMAXMSGSIZE"
# Loop and call the sendSequence method on the component
# making the size of the sequence sent larger w/ each iteration
# at some point, the ORB should fail because omniorb's max
# msg size will have be... | ACS-CommunityREPO_NAMEACSPATH_START.@ACS_extracted@ACS-master@Benchmark@stress@test@testMaxMsgSizeSimpleClient.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/geminidr/gnirs/tests/crossdispersed/__init__.py",
"type": "Python"
} | #!/usr/bin/env python3
"""
Tests for GNIRS XD Primitives.
"""
| GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@geminidr@gnirs@tests@crossdispersed@__init__.py@.PATH_END.py |
{
"filename": "nuclear.py",
"repo_name": "PlasmaPy/PlasmaPy",
"repo_path": "PlasmaPy_extracted/PlasmaPy-main/src/plasmapy/particles/nuclear.py",
"type": "Python"
} | """Functions that are related to nuclear reactions."""
__all__ = ["nuclear_binding_energy", "nuclear_reaction_energy", "mass_energy"]
import re
import astropy.units as u
from plasmapy.particles.decorators import particle_input
from plasmapy.particles.exceptions import InvalidParticleError, ParticleError
from plasma... | PlasmaPyREPO_NAMEPlasmaPyPATH_START.@PlasmaPy_extracted@PlasmaPy-main@src@plasmapy@particles@nuclear.py@.PATH_END.py |
{
"filename": "diagnostics_utils.py",
"repo_name": "mackelab/sbi",
"repo_path": "sbi_extracted/sbi-main/sbi/utils/diagnostics_utils.py",
"type": "Python"
} | import torch
from joblib import Parallel, delayed
from torch import Tensor
from tqdm import tqdm
from sbi.inference.posteriors.base_posterior import NeuralPosterior
from sbi.inference.posteriors.vi_posterior import VIPosterior
from sbi.sbi_types import Shape
def get_posterior_samples_on_batch(
xs: Tensor,
po... | mackelabREPO_NAMEsbiPATH_START.@sbi_extracted@sbi-main@sbi@utils@diagnostics_utils.py@.PATH_END.py |
{
"filename": "test_photometry.py",
"repo_name": "LCOGT/banzai",
"repo_path": "banzai_extracted/banzai-main/banzai/tests/test_photometry.py",
"type": "Python"
} | from banzai.utils import photometry_utils
import numpy as np
from astropy.coordinates import SkyCoord
from astropy import units
from astropy.table import Table
from astropy.utils.data import get_pkg_data_filename
from astropy.io import fits
def test_match_catalog():
np.random.seed(10142134)
# make a few hundr... | LCOGTREPO_NAMEbanzaiPATH_START.@banzai_extracted@banzai-main@banzai@tests@test_photometry.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "thomasorb/orcs",
"repo_path": "orcs_extracted/orcs-master/docs/conf.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
#
# Orcs documentation build configuration file, created by
# sphinx-quickstart on Sat May 26 01:02:35 2012.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All co... | thomasorbREPO_NAMEorcsPATH_START.@orcs_extracted@orcs-master@docs@conf.py@.PATH_END.py |
{
"filename": "get_feature_names-desc.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/_includes/work_src/reusage-python/get_feature_names-desc.md",
"type": "Markdown"
} |
Return the names of features from the dataset.
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@_includes@work_src@reusage-python@get_feature_names-desc.md@.PATH_END.py |
{
"filename": "test_simple_variance_mapper.py",
"repo_name": "cosmo-ethz/seek",
"repo_path": "seek_extracted/seek-master/test/test_simple_variance_mapper.py",
"type": "Python"
} | # SEEK 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.
#
# SEEK is distributed in the hope that it will be useful,
# but WITHOUT ANY W... | cosmo-ethzREPO_NAMEseekPATH_START.@seek_extracted@seek-master@test@test_simple_variance_mapper.py@.PATH_END.py |
{
"filename": "test_items.py",
"repo_name": "simonsobs/nextline-schedule",
"repo_path": "nextline-schedule_extracted/nextline-schedule-main/tests/schema/queries/queue/test_items.py",
"type": "Python"
} | from hypothesis import given
from strawberry.types import ExecutionResult
from nextline_schedule.graphql import QUERY_QUEUE_ITEMS
from nextline_schedule.queue.strategies import Queue, st_queue
from tests.schema.conftest import Schema
@given(queue=st_queue())
async def test_schema(queue: Queue, schema: Schema) -> Non... | simonsobsREPO_NAMEnextline-schedulePATH_START.@nextline-schedule_extracted@nextline-schedule-main@tests@schema@queries@queue@test_items.py@.PATH_END.py |
{
"filename": "zogy.py",
"repo_name": "pmvreeswijk/ZOGY",
"repo_path": "ZOGY_extracted/ZOGY-main/zogy.py",
"type": "Python"
} | import os
import sys
import subprocess
import glob
import tempfile
import shutil
import argparse
import importlib
import resource
import traceback
import warnings
warnings.filterwarnings('ignore', '.*output shape of zoom.*')
from functools import partial
import math
import collections
import itertools
import gc
import ... | pmvreeswijkREPO_NAMEZOGYPATH_START.@ZOGY_extracted@ZOGY-main@zogy.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "oliverphilcox/OneLoopBispectrum",
"repo_path": "OneLoopBispectrum_extracted/OneLoopBispectrum-main/README.md",
"type": "Markdown"
} | # One Loop Galaxy Bispectrum
Computation of the one-loop bispectrum of galaxies in redshift space, using Mathematica. This is described in [Philcox+22](https://arxiv.org/abs/2206.02800). The code contains a number of components:
1. [Kernels.nb](Kernels.nb) \& [KernelsFlat.nb](KernelsFlat.nb): Computation and simplifica... | oliverphilcoxREPO_NAMEOneLoopBispectrumPATH_START.@OneLoopBispectrum_extracted@OneLoopBispectrum-main@README.md@.PATH_END.py |
{
"filename": "CONTRIBUTING.md",
"repo_name": "CosmoStat/shapepipe",
"repo_path": "shapepipe_extracted/shapepipe-master/CONTRIBUTING.md",
"type": "Markdown"
} | # Contributing to ShapePipe
ShapePipe is an open source galaxy shape measurement pipeline developed within the [CosmoStat](http://www.cosmostat.org/) lab at CEA Paris-Saclay.
These guidelines are intended to help you contribute to improving this package by fixing bugs, adding new features or simply making suggestions... | CosmoStatREPO_NAMEshapepipePATH_START.@shapepipe_extracted@shapepipe-master@CONTRIBUTING.md@.PATH_END.py |
{
"filename": "settings.py",
"repo_name": "ParisAstronomicalDataCentre/OPUS",
"repo_path": "OPUS_extracted/OPUS-master/uws_server/settings.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2016 by Mathieu Servillat
# Licensed under MIT (https://github.com/mservillat/uws-server/blob/master/LICENSE)
"""
Settings for the UWS server
"""
#----------
# WARNING:
# If ../settings_local.py is found (see settings_local.dist.py for a template),
# some ... | ParisAstronomicalDataCentreREPO_NAMEOPUSPATH_START.@OPUS_extracted@OPUS-master@uws_server@settings.py@.PATH_END.py |
{
"filename": "upload_gmock.py",
"repo_name": "hpc4cmb/toast",
"repo_path": "toast_extracted/toast-main/src/libtoast/gtest/googlemock/scripts/upload_gmock.py",
"type": "Python"
} | #!/usr/bin/env python
#
# Copyright 2009, Google Inc.
# 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... | hpc4cmbREPO_NAMEtoastPATH_START.@toast_extracted@toast-main@src@libtoast@gtest@googlemock@scripts@upload_gmock.py@.PATH_END.py |
{
"filename": "vectara.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/vectorstores/vectara.py",
"type": "Python"
} | from __future__ import annotations
import json
import logging
import os
import warnings
from dataclasses import dataclass, field
from hashlib import md5
from typing import Any, Iterable, Iterator, List, Optional, Tuple, Type
import requests
from langchain_core.callbacks.manager import (
CallbackManagerForRetrieve... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@vectorstores@vectara.py@.PATH_END.py |
{
"filename": "spurmrot.py",
"repo_name": "lucabaldini/ixpeobssim",
"repo_path": "ixpeobssim_extracted/ixpeobssim-main/ixpeobssim/evt/spurmrot.py",
"type": "Python"
} | #!/usr/bin/env python
#
# Copyright (C) 2021, the ixpeobssim team.
#
# This program 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.
#
#... | lucabaldiniREPO_NAMEixpeobssimPATH_START.@ixpeobssim_extracted@ixpeobssim-main@ixpeobssim@evt@spurmrot.py@.PATH_END.py |
{
"filename": "test_image_parsing.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/tests/docker/test_image_parsing.py",
"type": "Python"
} | import packaging.version
import pytest
from prefect.utilities.dockerutils import (
format_outlier_version_name,
parse_image_tag,
split_repository_path,
)
@pytest.mark.parametrize(
"value,expected",
[
("localhost/simpleimage", ("localhost/simpleimage", None)),
("localhost/simpleima... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@tests@docker@test_image_parsing.py@.PATH_END.py |
{
"filename": "test_physics_secondary_elec.py",
"repo_name": "mirochaj/ares",
"repo_path": "ares_extracted/ares-main/tests/test_physics_secondary_elec.py",
"type": "Python"
} | """
test_secondary_electrons.py
Author: Jordan Mirocha
Affiliation: University of Colorado at Boulder
Created on: Thu Apr 3 16:58:43 MDT 2014
Description: Reproduce Figures 1-3 (kind of) in Furlanetto & Stoever (2010).
"""
import ares
import numpy as np
# First, compare at fixed ionized fraction
xe = [1e-4, 1e-3... | mirochajREPO_NAMEaresPATH_START.@ares_extracted@ares-main@tests@test_physics_secondary_elec.py@.PATH_END.py |
{
"filename": "es.py",
"repo_name": "3fon3fonov/exostriker",
"repo_path": "exostriker_extracted/exostriker-main/exostriker/lib/es.py",
"type": "Python"
} | # Form implementation generated from reading ui file 'es.ui'
#
# Created by: PyQt6 UI code generator 6.6.1
#
# WARNING: Any manual changes made to this file will be lost when pyuic6 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt6 import QtCore, QtGui, QtWidgets
class Ui_MainWin... | 3fon3fonovREPO_NAMEexostrikerPATH_START.@exostriker_extracted@exostriker-main@exostriker@lib@es.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "spedas/pyspedas",
"repo_path": "pyspedas_extracted/pyspedas-master/pyspedas/projects/kyoto/README.md",
"type": "Markdown"
} |
## Kyoto Dst
The routines in this module can be used to load Dst data from the World Data Center for Geomagnetism, Kyoto, Japan.
Example page:
https://wdc.kugi.kyoto-u.ac.jp/dst_final/197407/index.html
### Examples
Get started by importing pyspedas and tplot; these are required to load and plot the data:
```python
... | spedasREPO_NAMEpyspedasPATH_START.@pyspedas_extracted@pyspedas-master@pyspedas@projects@kyoto@README.md@.PATH_END.py |
{
"filename": "test_redis_schema.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/tests/unit_tests/vectorstores/redis/test_redis_schema.py",
"type": "Python"
} | import pytest
from langchain_community.vectorstores.redis.schema import (
FlatVectorField,
HNSWVectorField,
NumericFieldSchema,
RedisModel,
RedisVectorField,
TagFieldSchema,
TextFieldSchema,
read_schema,
)
def test_text_field_schema_creation() -> None:
"""Test creating a text fiel... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@tests@unit_tests@vectorstores@redis@test_redis_schema.py@.PATH_END.py |
{
"filename": "mcmc_sampling.py",
"repo_name": "sibirrer/hierArc",
"repo_path": "hierArc_extracted/hierArc-main/hierarc/Sampling/mcmc_sampling.py",
"type": "Python"
} | import emcee
from hierarc.Likelihood.cosmo_likelihood import CosmoLikelihood
from lenstronomy.Util import sampling_util
class MCMCSampler(object):
"""Class which executes the different sampling methods."""
def __init__(self, *args, **kwargs):
"""Initialise the classes of the chain and for parameter ... | sibirrerREPO_NAMEhierArcPATH_START.@hierArc_extracted@hierArc-main@hierarc@Sampling@mcmc_sampling.py@.PATH_END.py |
{
"filename": "_ticklen.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattermapbox/marker/colorbar/_ticklen.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="ticklen",
parent_name="scattermapbox.marker.colorbar",
**kwargs
):
super(TicklenValidator, self).__init__(
plotly_name=... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattermapbox@marker@colorbar@_ticklen.py@.PATH_END.py |
{
"filename": "_textcase.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatterpolargl/legendgrouptitle/font/_textcase.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextcaseValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="textcase",
parent_name="scatterpolargl.legendgrouptitle.font",
**kwargs,
):
super(TextcaseValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatterpolargl@legendgrouptitle@font@_textcase.py@.PATH_END.py |
{
"filename": "_totals.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/waterfall/_totals.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Totals(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "waterfall"
_path_str = "waterfall.totals"
_valid_props = {"marker"}
# marker
# ----... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@waterfall@_totals.py@.PATH_END.py |
{
"filename": "_theta.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatterpolargl/_theta.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ThetaValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="theta", parent_name="scatterpolargl", **kwargs):
super(ThetaValidator, 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@scatterpolargl@_theta.py@.PATH_END.py |
{
"filename": "datetimelike_accumulations.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/core/array_algos/datetimelike_accumulations.py",
"type": "Python"
} | """
datetimelke_accumulations.py is for accumulations of datetimelike extension arrays
"""
from __future__ import annotations
from typing import TYPE_CHECKING
import numpy as np
from pandas._libs import iNaT
from pandas.core.dtypes.missing import isna
if TYPE_CHECKING:
from collections.abc import Callable
d... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@core@array_algos@datetimelike_accumulations.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "Zstone19/pypetal",
"repo_path": "pypetal_extracted/pypetal-main/src/pypetal/weighting/__init__.py",
"type": "Python"
} | from .module import *
from .plotting import *
from .utils import *
__all__ = ["pypetal.weighting.module", "pypetal.weighting.plotting", "pypetal.weighting.utils"]
| Zstone19REPO_NAMEpypetalPATH_START.@pypetal_extracted@pypetal-main@src@pypetal@weighting@__init__.py@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/_plotly_utils/utils.py",
"type": "Python"
} | import base64
import decimal
import json as _json
import sys
import re
from functools import reduce
from _plotly_utils.optional_imports import get_module
from _plotly_utils.basevalidators import (
ImageUriValidator,
copy_to_readonly_numpy_array,
is_homogeneous_array,
)
int8min = -128
int8max = 127
int16m... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@_plotly_utils@utils.py@.PATH_END.py |
{
"filename": "mpsolve.py",
"repo_name": "robol/MPSolve",
"repo_path": "MPSolve_extracted/MPSolve-master/examples/python/mpsolve.py",
"type": "Python"
} | import sys
import ctypes
import ctypes.util
# from gmpy2 import mpq
# Load the libmps shared library. We should keep the .so version update
# in case we bump it in the future.
_mps = ctypes.CDLL("libmps.so.3")
class Cplx(ctypes.Structure):
_mps.mps_chebyshev_poly_new.restype = ctypes.c_void_p
_mps.mps_context... | robolREPO_NAMEMPSolvePATH_START.@MPSolve_extracted@MPSolve-master@examples@python@mpsolve.py@.PATH_END.py |
{
"filename": "spemd.py",
"repo_name": "lenstronomy/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/lenstronomy/LensModel/Profiles/spemd.py",
"type": "Python"
} | __author__ = "sibirrer"
import numpy as np
import lenstronomy.Util.param_util as param_util
from lenstronomy.LensModel.Profiles.base_profile import LensProfileBase
__all__ = ["SPEMD"]
class SPEMD(LensProfileBase):
"""Class for smooth power law ellipse mass density profile (SPEMD). This class
effectively per... | lenstronomyREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@lenstronomy@LensModel@Profiles@spemd.py@.PATH_END.py |
{
"filename": "_name.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattergl/marker/colorbar/tickformatstop/_name.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="name",
parent_name="scattergl.marker.colorbar.tickformatstop",
**kwargs
):
super(NameValidator, self).__init__(
plotly_nam... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattergl@marker@colorbar@tickformatstop@_name.py@.PATH_END.py |
{
"filename": "model.py",
"repo_name": "triton-inference-server/server",
"repo_path": "server_extracted/server-main/qa/L0_model_config/autofill_noplatform/python/output_missing_name/model.py",
"type": "Python"
} | # Copyright 2022-2023, 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 o... | triton-inference-serverREPO_NAMEserverPATH_START.@server_extracted@server-main@qa@L0_model_config@autofill_noplatform@python@output_missing_name@model.py@.PATH_END.py |
{
"filename": "iso_hpffm.py",
"repo_name": "jruffio/breads",
"repo_path": "breads_extracted/breads-main/breads/fm/iso_hpffm.py",
"type": "Python"
} | import numpy as np
from copy import copy
import pandas as pd
from astropy import constants as const
from breads.utils import broaden
from breads.utils import LPFvsHPF
def pixgauss2d(p, shape, hdfactor=10, xhdgrid=None, yhdgrid=None):
"""
2d gaussian model. Documentation to be completed. Also faint of t
... | jruffioREPO_NAMEbreadsPATH_START.@breads_extracted@breads-main@breads@fm@iso_hpffm.py@.PATH_END.py |
{
"filename": "recipe_5.py",
"repo_name": "subisarkar/JexoSim",
"repo_path": "JexoSim_extracted/JexoSim-master/jexosim/run_files/recipe_5.py",
"type": "Python"
} | '''
JexoSim
2.0
Recipe 5 :
Used to loop through code upto detector module
'''
import numpy as np
import time, os
from datetime import datetime
from jexosim.modules import exosystem, telescope, channel, backgrounds, output
from jexosim.modules import detector, timeline, light_curve, systematics, noise
from jexosim.lib.... | subisarkarREPO_NAMEJexoSimPATH_START.@JexoSim_extracted@JexoSim-master@jexosim@run_files@recipe_5.py@.PATH_END.py |
{
"filename": "_line.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/waterfall/connector/_line.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="line", parent_name="waterfall.connector", **kwargs):
super(LineValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@waterfall@connector@_line.py@.PATH_END.py |
{
"filename": "_bgcolorsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattergl/hoverlabel/_bgcolorsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="bgcolorsrc", parent_name="scattergl.hoverlabel", **kwargs
):
super(BgcolorsrcValidator, self).__init__(
plotly_name=plotly_name,
pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattergl@hoverlabel@_bgcolorsrc.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "matplotlib/viscm",
"repo_path": "viscm_extracted/viscm-main/viscm/__init__.py",
"type": "Python"
} | # Copyright (C) 2014 Nathaniel Smith <njs@pobox.com>
# See file LICENSE.txt for license information.
from .gui import viscm, viscm_editor
__all__ = ["viscm", "viscm_editor"]
| matplotlibREPO_NAMEviscmPATH_START.@viscm_extracted@viscm-main@viscm@__init__.py@.PATH_END.py |
{
"filename": "zernike.py",
"repo_name": "AOtools/aotools",
"repo_path": "aotools_extracted/aotools-main/aotools/functions/zernike.py",
"type": "Python"
} | import numpy
from . import circle
def phaseFromZernikes(zCoeffs, size, norm="noll", rot=0):
"""
Creates an array of the sum of zernike polynomials with specified coefficeints
Parameters:
zCoeffs (list): zernike Coefficients
size (int): Diameter of returned array
norm (string, optio... | AOtoolsREPO_NAMEaotoolsPATH_START.@aotools_extracted@aotools-main@aotools@functions@zernike.py@.PATH_END.py |
{
"filename": "dataset.py",
"repo_name": "RobertJaro/InstrumentToInstrument",
"repo_path": "InstrumentToInstrument_extracted/InstrumentToInstrument-master/itipy/data/dataset.py",
"type": "Python"
} | import gc
import glob
import logging
import os
import random
from collections import Iterable
from enum import Enum
from typing import List, Union
import numpy as np
from astropy.visualization import AsinhStretch
from dateutil.parser import parse
from torch.utils.data import Dataset, DataLoader
from tqdm import tqdm
... | RobertJaroREPO_NAMEInstrumentToInstrumentPATH_START.@InstrumentToInstrument_extracted@InstrumentToInstrument-master@itipy@data@dataset.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/splom/marker/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._colorbar import ColorBar
from ._line import Line
from . import colorbar
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [".... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@splom@marker@__init__.py@.PATH_END.py |
{
"filename": "_line.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattercarpet/_line.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="line", parent_name="scattercarpet", **kwargs):
super(LineValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattercarpet@_line.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "mbejger/polgraw-allsky",
"repo_path": "polgraw-allsky_extracted/polgraw-allsky-master/gridgen/old-version/gridgen_v0.2.34/README.md",
"type": "Markdown"
} | GridsGenerator generate effective grids which can be used
in gravitational waves searches. Information about algorithms
used in program can be found in articles:
http://dx.doi.org/10.1088/0264-9381/32/14/145014
http://arxiv.org/abs/1302.0509v3
================================================================
Tit... | mbejgerREPO_NAMEpolgraw-allskyPATH_START.@polgraw-allsky_extracted@polgraw-allsky-master@gridgen@old-version@gridgen_v0.2.34@README.md@.PATH_END.py |
{
"filename": "WeylScalarInvariants_Cartesian.py",
"repo_name": "zachetienne/nrpytutorial",
"repo_path": "nrpytutorial_extracted/nrpytutorial-master/WeylScal4NRPy/WeylScalarInvariants_Cartesian.py",
"type": "Python"
} | # This code calculates the invariant scalars I, J, J1, J2, J3, and J4. It does so by following the papers
# arXiv:gr-qc/0407013 and arXiv:0704.1756, and the example set by the Kranc-generated ETK thorn which
# can be found at https://bitbucket.org/einsteintoolkit/einsteinanalysis/src. While WeylScalarInvariants_Cartesi... | zachetienneREPO_NAMEnrpytutorialPATH_START.@nrpytutorial_extracted@nrpytutorial-master@WeylScal4NRPy@WeylScalarInvariants_Cartesian.py@.PATH_END.py |
{
"filename": "pipelineai.ipynb",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/docs/docs/integrations/llms/pipelineai.ipynb",
"type": "Jupyter Notebook"
} | # PipelineAI
>[PipelineAI](https://pipeline.ai) allows you to run your ML models at scale in the cloud. It also provides API access to [several LLM models](https://pipeline.ai).
This notebook goes over how to use Langchain with [PipelineAI](https://docs.pipeline.ai/docs).
## PipelineAI example
[This example shows h... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@docs@docs@integrations@llms@pipelineai.ipynb@.PATH_END.py |
{
"filename": "TotalEnergyEquationCalculation.py",
"repo_name": "mmicromegas/ransX",
"repo_path": "ransX_extracted/ransX-master/EQUATIONS/TotalEnergyEquationCalculation.py",
"type": "Python"
} | import numpy as np
from UTILS.Calculus import Calculus
from UTILS.Tools import Tools
# Theoretical background https://arxiv.org/abs/1401.5176
# Mocak, Meakin, Viallet, Arnett, 2014, Compressible Hydrodynamic Mean-Field #
# Equations in Spherical Geometry and their Application to Turbulent Stellar #
# Convection Data... | mmicromegasREPO_NAMEransXPATH_START.@ransX_extracted@ransX-master@EQUATIONS@TotalEnergyEquationCalculation.py@.PATH_END.py |
{
"filename": "strip-charts.md",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/doc/python/strip-charts.md",
"type": "Markdown"
} | ---
jupyter:
jupytext:
notebook_metadata_filter: all
text_representation:
extension: .md
format_name: markdown
format_version: '1.2'
jupytext_version: 1.4.2
kernelspec:
display_name: Python 3
language: python
name: python3
language_info:
codemirror_mode:
name:... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@doc@python@strip-charts.md@.PATH_END.py |
{
"filename": "axisman.py",
"repo_name": "simonsobs/sotodlib",
"repo_path": "sotodlib_extracted/sotodlib-master/sotodlib/core/axisman.py",
"type": "Python"
} | import numpy as np
from collections import OrderedDict as odict
import scipy.sparse as sparse
## "temporary" fix to deal with scipy>1.8 changing the sparse setup
try:
from scipy.sparse import csr_array
except ImportError:
from scipy.sparse import csr_matrix as csr_array
from .util import get_coindices
class... | simonsobsREPO_NAMEsotodlibPATH_START.@sotodlib_extracted@sotodlib-master@sotodlib@core@axisman.py@.PATH_END.py |
{
"filename": "masking.py",
"repo_name": "fchollet/keras",
"repo_path": "keras_extracted/keras-master/keras/src/layers/core/masking.py",
"type": "Python"
} | from keras.src import backend
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.layers.layer import Layer
@keras_export("keras.layers.Masking")
class Masking(Layer):
"""Masks a sequence by using a mask value to skip timesteps.
For each timestep in the input tensor (dimens... | fcholletREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@layers@core@masking.py@.PATH_END.py |
{
"filename": "factory.py",
"repo_name": "ratt-ru/montblanc",
"repo_path": "montblanc_extracted/montblanc-master/montblanc/factory.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2015 Simon Perkins
#
# This file is part of montblanc.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the L... | ratt-ruREPO_NAMEmontblancPATH_START.@montblanc_extracted@montblanc-master@montblanc@factory.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/ternary/caxis/title/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._text import TextValidator
from ._font import FontValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._text.TextValidator", "._font.FontValidator"]
)
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@ternary@caxis@title@__init__.py@.PATH_END.py |
{
"filename": "slurp_craco_cubes.py",
"repo_name": "FRBs/zdm",
"repo_path": "zdm_extracted/zdm-main/papers/H0_I/Analysis/CRACO/py/slurp_craco_cubes.py",
"type": "Python"
} | """ Simple script to slurp """
from zdm import analyze_cube
def main(pargs):
if pargs.run == 'Emax':
# Emax
input_file = 'Cubes/craco_H0_Emax_cube.json'
prefix = 'Cubes/tmp'
nsurveys = 1
# Run it
analyze_cube.slurp_cube(input_file, prefix, 'Cubes/craco_H0_Emax_cu... | FRBsREPO_NAMEzdmPATH_START.@zdm_extracted@zdm-main@papers@H0_I@Analysis@CRACO@py@slurp_craco_cubes.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "Jammy2211/PyAutoLens",
"repo_path": "PyAutoLens_extracted/PyAutoLens-main/test_autolens/point/fit/__init__.py",
"type": "Python"
} | Jammy2211REPO_NAMEPyAutoLensPATH_START.@PyAutoLens_extracted@PyAutoLens-main@test_autolens@point@fit@__init__.py@.PATH_END.py | |
{
"filename": "bispec.py",
"repo_name": "toshiyan/cmblensplus",
"repo_path": "cmblensplus_extracted/cmblensplus-master/wrap/curvedsky/bispec.py",
"type": "Python"
} | import libcurvedsky
import numpy
def make_quad_gauss(lmax,alm):
"""
Return a non-Gaussian alm. The corresponding non-Gaussian field is defined as
delta^NL(n) = delta^L(n) + delta^L(n)**2
where delta^L(n) is a gaussian field obtained from the input alm.
Args:
:lmax (*int*): Maximum multipole of alm
... | toshiyanREPO_NAMEcmblensplusPATH_START.@cmblensplus_extracted@cmblensplus-master@wrap@curvedsky@bispec.py@.PATH_END.py |
{
"filename": "transit_model.py",
"repo_name": "petigura/terra",
"repo_path": "terra_extracted/terra-master/terra/transit_model.py",
"type": "Python"
} | import sys
import numpy as np
from scipy import optimize
import pandas as pd
from matplotlib.pylab import *
from emcee import EnsembleSampler
import keptoy
from plotting.kplot import *
from utils import h5plus
class TransitModel(h5plus.iohelper):
"""
TransitModel
Simple class for fitting transit ... | petiguraREPO_NAMEterraPATH_START.@terra_extracted@terra-master@terra@transit_model.py@.PATH_END.py |
{
"filename": "_colorbar.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/contourcarpet/_colorbar.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorbarValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="colorbar", parent_name="contourcarpet", **kwargs):
super(ColorbarValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@contourcarpet@_colorbar.py@.PATH_END.py |
{
"filename": "test_calibration.py",
"repo_name": "tomasstolker/species",
"repo_path": "species_extracted/species-main/tests/test_read/test_calibration.py",
"type": "Python"
} | import os
import shutil
import pytest
import numpy as np
from species import SpeciesInit
from species.data.database import Database
from species.read.read_calibration import ReadCalibration
from species.util import test_util
class TestCalibration:
def setup_class(self):
self.limit = 1e-8
self.te... | tomasstolkerREPO_NAMEspeciesPATH_START.@species_extracted@species-main@tests@test_read@test_calibration.py@.PATH_END.py |
{
"filename": "_legendgrouptitle.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/shape/_legendgrouptitle.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LegendgrouptitleValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="legendgrouptitle", parent_name="layout.shape", **kwargs
):
super(LegendgrouptitleValidator, self).__init__(
plotly_name=plotly_name,... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@shape@_legendgrouptitle.py@.PATH_END.py |
{
"filename": "test_parallax_computation.py",
"repo_name": "golmschenk/eesunhong",
"repo_path": "eesunhong_extracted/eesunhong-main/tests/unit_tests/test_parallax_computation.py",
"type": "Python"
} | from ctypes import POINTER, c_double, c_int
from pathlib import Path
import numpy as np
import pytest
from eesunhong.eesunhong import compute_parallax_using_geo_par, create_vbbl, destroy_vbbl, \
set_object_coordinates_for_vbbl, compute_parallax_for_vbbl, set_parallax_system_for_vbbl
def test_parallax_computatio... | golmschenkREPO_NAMEeesunhongPATH_START.@eesunhong_extracted@eesunhong-main@tests@unit_tests@test_parallax_computation.py@.PATH_END.py |
{
"filename": "systemconfig.py",
"repo_name": "astroufsc/chimera",
"repo_path": "chimera_extracted/chimera-master/src/chimera/core/systemconfig.py",
"type": "Python"
} | from chimera.core.location import Location
from chimera.core.exceptions import ChimeraException
from chimera.core.constants import (
SYSTEM_CONFIG_DEFAULT_FILENAME,
MANAGER_DEFAULT_HOST,
MANAGER_DEFAULT_PORT,
)
import yaml
# import chimera.core.log
import logging
log = logging.getLogger(__name__)
class ... | astroufscREPO_NAMEchimeraPATH_START.@chimera_extracted@chimera-master@src@chimera@core@systemconfig.py@.PATH_END.py |
{
"filename": "zhipuai.ipynb",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/docs/docs/integrations/text_embedding/zhipuai.ipynb",
"type": "Jupyter Notebook"
} | ---
sidebar_label: ZhipuAI
keywords: [zhipuaiembeddings]
---
# ZhipuAIEmbeddings
This will help you get started with ZhipuAI embedding models using LangChain. For detailed documentation on `ZhipuAIEmbeddings` features and configuration options, please refer to the [API reference](https://bigmodel.cn/dev/api#vector).
... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@docs@docs@integrations@text_embedding@zhipuai.ipynb@.PATH_END.py |
{
"filename": "_linewidth.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/scene/zaxis/_linewidth.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="linewidth", parent_name="layout.scene.zaxis", **kwargs
):
super(LinewidthValidator, self).__init__(
plotly_name=plotly_name,
pare... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@scene@zaxis@_linewidth.py@.PATH_END.py |
{
"filename": "point_source_model.py",
"repo_name": "Herculens/herculens",
"repo_path": "herculens_extracted/herculens-main/herculens/PointSourceModel/point_source_model.py",
"type": "Python"
} | # Copyright (c) 2023, herculens developers and contributors
__author__ = 'austinpeel'
from herculens.PointSourceModel.point_source import PointSource
__all__ = ['PointSourceModel']
SUPPORTED_TYPES = ['IMAGE_POSITIONS', 'SOURCE_POSITION']
class PointSourceModel(object):
"""Collection of point sources defined i... | HerculensREPO_NAMEherculensPATH_START.@herculens_extracted@herculens-main@herculens@PointSourceModel@point_source_model.py@.PATH_END.py |
{
"filename": "cattools.py",
"repo_name": "desihub/LSS",
"repo_path": "LSS_extracted/LSS-main/py/LSS/main/cattools.py",
"type": "Python"
} | '''
python functions to do various useful date processing/manipulation
'''
import numpy as np
import glob
import os
from random import random
import astropy.io.fits as fits
from astropy.table import Table,join,unique,vstack,setdiff
import fitsio
from matplotlib import pyplot as plt
import healpy as hp
#from LSS.C... | desihubREPO_NAMELSSPATH_START.@LSS_extracted@LSS-main@py@LSS@main@cattools.py@.PATH_END.py |
{
"filename": "modhead.py",
"repo_name": "Keck-DataReductionPipelines/KCWI_DRP",
"repo_path": "KCWI_DRP_extracted/KCWI_DRP-master/kcwidrp/scripts/modhead.py",
"type": "Python"
} | #!/usr/bin/env python
"""Modify FITS header keyword"""
from astropy.io import fits
import argparse
import sys
import os
def _parse_arguments(in_args: list) -> argparse.Namespace:
description = "modify FITS header keyword"
parser = argparse.ArgumentParser(prog=f"{in_args[0]}",
... | Keck-DataReductionPipelinesREPO_NAMEKCWI_DRPPATH_START.@KCWI_DRP_extracted@KCWI_DRP-master@kcwidrp@scripts@modhead.py@.PATH_END.py |
{
"filename": "_name.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/updatemenu/_name.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="name", parent_name="layout.updatemenu", **kwargs):
super(NameValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@updatemenu@_name.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "sampsyo/clusterfutures",
"repo_path": "clusterfutures_extracted/clusterfutures-master/cfut/__init__.py",
"type": "Python"
} | """Python futures for Condor clusters."""
from concurrent import futures
from itertools import count
import os
import sys
import threading
import time
import traceback
from . import condor
from . import slurm
from .util import (
random_string, local_filename, INFILE_FMT, OUTFILE_FMT,
)
import cloudpickle
__versio... | sampsyoREPO_NAMEclusterfuturesPATH_START.@clusterfutures_extracted@clusterfutures-master@cfut@__init__.py@.PATH_END.py |
{
"filename": "data.py",
"repo_name": "gammapy/enrico",
"repo_path": "enrico_extracted/enrico-master/enrico/data.py",
"type": "Python"
} | """Utilities to download / preprocess data"""
import os
from os.path import join
import glob
import logging
logging.basicConfig(level=logging.INFO)
log = logging.getLogger(__name__)
# @todo: use config file for this?
from enrico.environ import CATALOG_DIR, CATALOG, DIFFUSE_DIR, DIFFUSE_GAL, DIFFUSE_ISO_SOURCE, DIFFUSE... | gammapyREPO_NAMEenricoPATH_START.@enrico_extracted@enrico-master@enrico@data.py@.PATH_END.py |
{
"filename": "helper.py",
"repo_name": "bwinkel/pycraf",
"repo_path": "pycraf_extracted/pycraf-master/pycraf/pathprof/helper.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import (
absolute_import, unicode_literals, division, print_function
)
# from functools import partial, lru_cache
import os
from astropy import units as apu
import numpy as np
from scipy.interpolate import RegularGridInterpolator
from astropy.utils... | bwinkelREPO_NAMEpycrafPATH_START.@pycraf_extracted@pycraf-master@pycraf@pathprof@helper.py@.PATH_END.py |
{
"filename": "check_empty_regions.ipynb",
"repo_name": "GalSim-developers/GalSim",
"repo_path": "GalSim_extracted/GalSim-main/devel/external/AEGIS/check_empty_regions.ipynb",
"type": "Jupyter Notebook"
} | ### Program to create image with correlated noise for AEGIS using empty regions
16 empty regions in the AEGIS fileds (in V/F606W and I/F814W bands) were visually idenitified and thier information was saved in empty_fields.txt. The empty feilds are picked from different regions and have varying sizes. Correlation functi... | GalSim-developersREPO_NAMEGalSimPATH_START.@GalSim_extracted@GalSim-main@devel@external@AEGIS@check_empty_regions.ipynb@.PATH_END.py |
{
"filename": "test_util.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/distribute/test_util.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@distribute@test_util.py@.PATH_END.py |
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