metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "README.md",
"repo_name": "lupitatovar/Llamaradas-Estelares",
"repo_path": "Llamaradas-Estelares_extracted/Llamaradas-Estelares-main/README.md",
"type": "Markdown"
} | # Llamaradas Estelares
[](https://zenodo.org/badge/latestdoi/408974483)
A flare template [Flare_model.py] to model the morphology of white-light flare events. The shape of the flare model is parameterized by the convolution of a Gaussian and a double exponential. Meanwhile... | lupitatovarREPO_NAMELlamaradas-EstelaresPATH_START.@Llamaradas-Estelares_extracted@Llamaradas-Estelares-main@README.md@.PATH_END.py |
{
"filename": "defaults_source_provider.py",
"repo_name": "ratt-ru/montblanc",
"repo_path": "montblanc_extracted/montblanc-master/montblanc/impl/rime/tensorflow/sources/defaults_source_provider.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@impl@rime@tensorflow@sources@defaults_source_provider.py@.PATH_END.py |
{
"filename": "test_pickle.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/astropy/constants/tests/test_pickle.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import absolute_import, division, print_function, unicode_literals
import pytest
from ... import constants as const
from ...tests.helper import pickle_protocol, check_pickling_recovery # noqa
from ...extern.six.moves import zip
original... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@astropy@constants@tests@test_pickle.py@.PATH_END.py |
{
"filename": "_stream.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/histogram2d/_stream.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Stream(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "histogram2d"
_path_str = "histogram2d.stream"
_valid_props = {"maxpoints", "token"}
# m... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@histogram2d@_stream.py@.PATH_END.py |
{
"filename": "likelihood_helpers.py",
"repo_name": "adrn/thejoker",
"repo_path": "thejoker_extracted/thejoker-main/thejoker/likelihood_helpers.py",
"type": "Python"
} | # Third-party
import numpy as np
# Project
from .logging import logger
def get_constant_term_design_matrix(data, ids=None):
"""
Construct the portion of the design matrix relevant for the linear
parameters of The Joker beyond the amplitude, ``K``.
"""
if ids is None:
ids = np.zeros(len(d... | adrnREPO_NAMEthejokerPATH_START.@thejoker_extracted@thejoker-main@thejoker@likelihood_helpers.py@.PATH_END.py |
{
"filename": "user_input_checks_test.py",
"repo_name": "mackelab/sbi",
"repo_path": "sbi_extracted/sbi-main/tests/user_input_checks_test.py",
"type": "Python"
} | # This file is part of sbi, a toolkit for simulation-based inference. sbi is licensed
# under the Apache License Version 2.0, see <https://www.apache.org/licenses/>
from __future__ import annotations
from typing import Callable, Tuple
import numpy as np
import pytest
import torch
from pyknos.mdn.mdn import Multivari... | mackelabREPO_NAMEsbiPATH_START.@sbi_extracted@sbi-main@tests@user_input_checks_test.py@.PATH_END.py |
{
"filename": "plotGrid-freq-dOmega.py",
"repo_name": "folsomcp/ZDIpy",
"repo_path": "ZDIpy_extracted/ZDIpy-main/utils/plotGrid-freq-dOmega.py",
"type": "Python"
} | #!/usr/bin/python3
#
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams['pdf.fonttype'] = 42
plt.rcParams['ps.fonttype'] = 42
plt.rcParams['ps.useafm'] = True
#plt.rcParams['text.usetex'] = True
import scipy.special as specialf
import scipy.optimize as optimize
# P (prob.) of a delta chi^2 from chi^2 mi... | folsomcpREPO_NAMEZDIpyPATH_START.@ZDIpy_extracted@ZDIpy-main@utils@plotGrid-freq-dOmega.py@.PATH_END.py |
{
"filename": "least_squares_cont_model.py",
"repo_name": "igmhub/picca",
"repo_path": "picca_extracted/picca-master/py/picca/delta_extraction/least_squares/least_squares_cont_model.py",
"type": "Python"
} | """This module defines the class LeastsSquaresContModel"""
import numpy as np
from picca.delta_extraction.errors import LeastSquaresError
class LeastsSquaresContModel:
"""This class deals with the continuum fitting.
It is passed to iminuit and when called it will return the chi2 for a given
set of param... | igmhubREPO_NAMEpiccaPATH_START.@picca_extracted@picca-master@py@picca@delta_extraction@least_squares@least_squares_cont_model.py@.PATH_END.py |
{
"filename": "test_basics.py",
"repo_name": "SISPO-developers/sispo",
"repo_path": "sispo_extracted/sispo-master/test_basics.py",
"type": "Python"
} | # SPDX-FileCopyrightText: 2021 Gabriel J. Schwarzkopf <sispo-devs@outlook.com>
#
# SPDX-License-Identifier: GPL-3.0-or-later
"""Test suite."""
import unittest
from pathlib import Path
import numpy as np
from sispo.sim import utils
class TestUtils(unittest.TestCase):
"""Basic unit tests"""
def test_check_d... | SISPO-developersREPO_NAMEsispoPATH_START.@sispo_extracted@sispo-master@test_basics.py@.PATH_END.py |
{
"filename": "jolideco-deconvolution.ipynb",
"repo_name": "jolideco/jolideco-chandra-examples",
"repo_path": "jolideco-chandra-examples_extracted/jolideco-chandra-examples-main/workflow/notebooks/jolideco-deconvolution.ipynb",
"type": "Jupyter Notebook"
} | # Jolideco Analysis of Chandra Data of E0102
```python
import numpy as np
from pathlib import Path
from matplotlib import pyplot as plt
import matplotlib as mpl
from astropy.visualization import simple_norm
from astropy.wcs.wcs import FITSFixedWarning
from jolideco.core import MAPDeconvolver, MAPDeconvolverResult
fro... | jolidecoREPO_NAMEjolideco-chandra-examplesPATH_START.@jolideco-chandra-examples_extracted@jolideco-chandra-examples-main@workflow@notebooks@jolideco-deconvolution.ipynb@.PATH_END.py |
{
"filename": "SphereSolidBoundaryInst.cc.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/DEM/SolidBoundary/SphereSolidBoundaryInst.cc.py",
"type": "Python"
} | text = """
//------------------------------------------------------------------------------
// Explict instantiation.
//------------------------------------------------------------------------------
#include "DEM/SolidBoundary/SphereSolidBoundary.cc"
#include "Geometry/Dimension.hh"
namespace Spheral {
template clas... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@DEM@SolidBoundary@SphereSolidBoundaryInst.cc.py@.PATH_END.py |
{
"filename": "_dimension.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/splom/_dimension.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Dimension(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "splom"
_path_str = "splom.dimension"
_valid_props = {
"axis",
"label",
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@splom@_dimension.py@.PATH_END.py |
{
"filename": "_size.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/splom/hoverlabel/font/_size.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="size", parent_name="splom.hoverlabel.font", **kwargs
):
super(SizeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=pare... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@splom@hoverlabel@font@_size.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/ply/py2/README.md",
"type": "Markdown"
} | # PLY (Python Lex-Yacc) Version 3.11
[](https://travis-ci.org/dabeaz/ply)
Copyright (C) 2001-2018
David M. Beazley (Dabeaz LLC)
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, ar... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@ply@py2@README.md@.PATH_END.py |
{
"filename": "convert_peft_sd_lora_to_kohya_ss.py",
"repo_name": "huggingface/peft",
"repo_path": "peft_extracted/peft-main/examples/lora_dreambooth/convert_peft_sd_lora_to_kohya_ss.py",
"type": "Python"
} | import argparse
import os
from typing import Dict
import torch
from diffusers import UNet2DConditionModel
from safetensors.torch import save_file
from transformers import CLIPTextModel
from peft import PeftModel, get_peft_model_state_dict
# Default kohya_ss LoRA replacement modules
# https://github.com/kohya-ss/sd-... | huggingfaceREPO_NAMEpeftPATH_START.@peft_extracted@peft-main@examples@lora_dreambooth@convert_peft_sd_lora_to_kohya_ss.py@.PATH_END.py |
{
"filename": "test_galactic_fk4.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/astropy/coordinates/tests/accuracy/test_galactic_fk4.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import numpy as np
from .... import units as u
from ...builtin_frames import Galactic, FK4
from ....time import Time
from ....table import Table... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@astropy@coordinates@tests@accuracy@test_galactic_fk4.py@.PATH_END.py |
{
"filename": "test_stokes_randomization.py",
"repo_name": "lucabaldini/ixpeobssim",
"repo_path": "ixpeobssim_extracted/ixpeobssim-main/tests/test_stokes_randomization.py",
"type": "Python"
} | #!/usr/bin/env python
#
# Copyright (C) 2022, 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@tests@test_stokes_randomization.py@.PATH_END.py |
{
"filename": "secondary_axis.py",
"repo_name": "matplotlib/matplotlib",
"repo_path": "matplotlib_extracted/matplotlib-main/galleries/examples/subplots_axes_and_figures/secondary_axis.py",
"type": "Python"
} | """
==============
Secondary Axis
==============
Sometimes we want a secondary axis on a plot, for instance to convert
radians to degrees on the same plot. We can do this by making a child
axes with only one axis visible via `.axes.Axes.secondary_xaxis` and
`.axes.Axes.secondary_yaxis`. This secondary axis can have ... | matplotlibREPO_NAMEmatplotlibPATH_START.@matplotlib_extracted@matplotlib-main@galleries@examples@subplots_axes_and_figures@secondary_axis.py@.PATH_END.py |
{
"filename": "plotting_nd.py",
"repo_name": "shbhuk/mrexo",
"repo_path": "mrexo_extracted/mrexo-master/mrexo/plotting_nd.py",
"type": "Python"
} | import matplotlib.pyplot as plt
import os, sys
import numpy as np
import matplotlib
matplotlib.rcParams['xtick.labelsize'] = 25
matplotlib.rcParams['ytick.labelsize'] = 25
save_path = r"C:\Users\skanodia\Documents\GitHub\mrexo\examples\CKS-X\CKS-X_radius_stm"
# _ = Plot2DJointDistribution(save_path)
# _ = Plot2DWei... | shbhukREPO_NAMEmrexoPATH_START.@mrexo_extracted@mrexo-master@mrexo@plotting_nd.py@.PATH_END.py |
{
"filename": "instance_seg.py",
"repo_name": "BiaPyX/BiaPy",
"repo_path": "BiaPy_extracted/BiaPy-master/biapy/engine/instance_seg.py",
"type": "Python"
} | import os
import torch
import numpy as np
import pandas as pd
from tqdm import tqdm
from skimage.segmentation import clear_border
from skimage.transform import resize
import torch.distributed as dist
from biapy.data.post_processing.post_processing import (
watershed_by_channels,
voronoi_on_mask,
measure_mo... | BiaPyXREPO_NAMEBiaPyPATH_START.@BiaPy_extracted@BiaPy-master@biapy@engine@instance_seg.py@.PATH_END.py |
{
"filename": "temperature_slice.py",
"repo_name": "pynbody/pynbody",
"repo_path": "pynbody_extracted/pynbody-master/docs/tutorials/example_code/temperature_slice.py",
"type": "Python"
} | import matplotlib.pylab as plt
import pynbody
import pynbody.plot.sph as sph
# load the snapshot and set to physical units
s = pynbody.load('testdata/gasoline_ahf/g15784.lr.01024.gz')
s.physical_units()
# load the halos
halos = s.halos()
# center on the largest halo and align the disk
pynbody.analysis.angmom.sideon... | pynbodyREPO_NAMEpynbodyPATH_START.@pynbody_extracted@pynbody-master@docs@tutorials@example_code@temperature_slice.py@.PATH_END.py |
{
"filename": "photutils.py",
"repo_name": "fjaellet/gaia_edr3_photutils",
"repo_path": "gaia_edr3_photutils_extracted/gaia_edr3_photutils-main/photutils.py",
"type": "Python"
} | # F. Anders (2020-21)
# Just some useful functions inherited from https://github.com/fjaellet/pysvo:
import numpy as np
# THE COEFFICIENTS ARE THE ONES CORRESPONDING TO Gaia EDR3 TRANSMISSION CURVES:
# http://svo2.cab.inta-csic.es/theory/fps3/index.php?mode=browse&gname=GAIA&gname2=GAIA3&asttype=
def AG(AV, Teff):
... | fjaelletREPO_NAMEgaia_edr3_photutilsPATH_START.@gaia_edr3_photutils_extracted@gaia_edr3_photutils-main@photutils.py@.PATH_END.py |
{
"filename": "aegean.py",
"repo_name": "PaulHancock/Aegean",
"repo_path": "Aegean_extracted/Aegean-main/AegeanTools/CLI/aegean.py",
"type": "Python"
} | #! /usr/bin/env python
import argparse
import logging
import logging.config
import multiprocessing
import os
import sys
import astropy
import lmfit
import numpy as np
import scipy
from AegeanTools import __citation__, __date__, __version__
from AegeanTools.catalogs import (check_table_formats, save_catalog,
... | PaulHancockREPO_NAMEAegeanPATH_START.@Aegean_extracted@Aegean-main@AegeanTools@CLI@aegean.py@.PATH_END.py |
{
"filename": "init_ops_v2_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/ops/init_ops_v2_test.py",
"type": "Python"
} | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@ops@init_ops_v2_test.py@.PATH_END.py |
{
"filename": "_maxpoints.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/mesh3d/stream/_maxpoints.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="maxpoints", parent_name="mesh3d.stream", **kwargs):
super(MaxpointsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@mesh3d@stream@_maxpoints.py@.PATH_END.py |
{
"filename": "compareRestarts.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/tests/functional/Hydro/Noh/compareRestarts.py",
"type": "Python"
} | def readRestartData(file):
f = open(file, 'r')
data = f.readlines()
f.close
m = data[1].split()[2:]
r = data[2].replace('(', '').replace(')', '').split()[2:]
v = data[3].replace('(', '').replace(')', '').split()[2:]
rho = data[4].split()[2:]
eps = data[5].split()[2:]
H = data[6].rep... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@tests@functional@Hydro@Noh@compareRestarts.py@.PATH_END.py |
{
"filename": "financial_datasets.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/utilities/financial_datasets.py",
"type": "Python"
} | """
Util that calls several of financial datasets stock market REST APIs.
Docs: https://docs.financialdatasets.ai/
"""
import json
from typing import Any, List, Optional
import requests
from langchain_core.utils import get_from_dict_or_env
from pydantic import BaseModel
FINANCIAL_DATASETS_BASE_URL = "https://api.fin... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@utilities@financial_datasets.py@.PATH_END.py |
{
"filename": "deterministic.py",
"repo_name": "gabefreedman/etudes",
"repo_path": "etudes_extracted/etudes-main/etudes/deterministic.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""Contains custom PyTree object for deterministic signal modeling. Continuous wave
delay functions (full frequency evolution vs phase approximation) are defined
at class initialization.
"""
import jax
import jax.numpy as jnp
from jax.tree_util import register_pytree_node_class
import etudes.co... | gabefreedmanREPO_NAMEetudesPATH_START.@etudes_extracted@etudes-main@etudes@deterministic.py@.PATH_END.py |
{
"filename": "test_lisa.py",
"repo_name": "Mauropieroni/GW_response",
"repo_path": "GW_response_extracted/GW_response-main/testing/test_lisa.py",
"type": "Python"
} | import unittest
import jax.numpy as jnp
import gw_response as gwr
import os
import numpy as np
TEST_DATA_PATH = os.path.join(os.path.dirname(__file__), "test_data/")
class TestLISA(unittest.TestCase):
def test_lisa_analytical_positions(self):
time_in_years = jnp.linspace(0, 1.0, 100)
lisa_analyti... | MauropieroniREPO_NAMEGW_responsePATH_START.@GW_response_extracted@GW_response-main@testing@test_lisa.py@.PATH_END.py |
{
"filename": "spectralLib.py",
"repo_name": "sczesla/PyAstronomy",
"repo_path": "PyAstronomy_extracted/PyAstronomy-master/src/pyasl/resBased/spectralLib.py",
"type": "Python"
} | from __future__ import print_function, division
from PyAstronomy.pyaC import pyaPermanent as pp
from PyAstronomy.pyaC import pyaErrors as PE
import os
from .. import readFitsSpec
import numpy as np
import astropy.io.fits as pyfits
class SpectralLib:
def refreshDescription(self):
"""
(Re-)Down... | sczeslaREPO_NAMEPyAstronomyPATH_START.@PyAstronomy_extracted@PyAstronomy-master@src@pyasl@resBased@spectralLib.py@.PATH_END.py |
{
"filename": "_util.py",
"repo_name": "esa/thermonets",
"repo_path": "thermonets_extracted/thermonets-main/thermonets/_util.py",
"type": "Python"
} | import numpy as np
import heyoka as hy
import torch
import spaceweather
import pyatmos
# WGS84 values
a_earth = 6378137.0
b_earth = 6356752.314245
def cart2geo(
x, y, z, e2=1 - b_earth**2 / a_earth**2, R_eq=a_earth, iters=4, symbolic=False
):
"""Converts from Cartesian to Geodetic coordinates
We use th... | esaREPO_NAMEthermonetsPATH_START.@thermonets_extracted@thermonets-main@thermonets@_util.py@.PATH_END.py |
{
"filename": "tracemalloc.py",
"repo_name": "huggingface/peft",
"repo_path": "peft_extracted/peft-main/examples/boft_controlnet/utils/tracemalloc.py",
"type": "Python"
} | import gc
import threading
import psutil
import torch
# Converting Bytes to Megabytes
def b2mb(x):
return int(x / 2**20)
# This context manager is used to track the peak memory usage of the process
class TorchTracemalloc:
def __enter__(self):
gc.collect()
torch.cuda.empty_cache()
to... | huggingfaceREPO_NAMEpeftPATH_START.@peft_extracted@peft-main@examples@boft_controlnet@utils@tracemalloc.py@.PATH_END.py |
{
"filename": "fixtures_ccl.py",
"repo_name": "NumCosmo/NumCosmo",
"repo_path": "NumCosmo_extracted/NumCosmo-master/tests/fixtures_ccl.py",
"type": "Python"
} | #!/usr/bin/env python
#
# fixtures_ccl.py
#
# Thu Aug 01 11:44:12 2024
# Copyright 2024 Sandro Dias Pinto Vitenti
# <vitenti@uel.br>
#
# fixtures_ccl.py
# Copyright (C) 2024 Sandro Dias Pinto Vitenti <vitenti@uel.br>
#
# numcosmo is free software: you can redistribute it and/or modify it
# under the terms of the GNU ... | NumCosmoREPO_NAMENumCosmoPATH_START.@NumCosmo_extracted@NumCosmo-master@tests@fixtures_ccl.py@.PATH_END.py |
{
"filename": "run_acs_cookbook.py",
"repo_name": "spacetelescope/hstaxe",
"repo_path": "hstaxe_extracted/hstaxe-main/hstaxe/tests/run_acs_cookbook.py",
"type": "Python"
} | """
Run the commands from nor's axe cookbook example
but setup for hstaxe
See LICENSE.txt
"""
import os
import shutil
from drizzlepac import astrodrizzle
from hstaxe import axetasks
cwd = os.getcwd()
print("We are in %s" % (cwd))
os.system("cp ./cookbook_data/F775W/F775W.cat .")
os.system("rm ./DATA/jdql01jxq_flc.fi... | spacetelescopeREPO_NAMEhstaxePATH_START.@hstaxe_extracted@hstaxe-main@hstaxe@tests@run_acs_cookbook.py@.PATH_END.py |
{
"filename": "quickstart-cmake.md",
"repo_name": "google/googletest",
"repo_path": "googletest_extracted/googletest-main/docs/quickstart-cmake.md",
"type": "Markdown"
} | # Quickstart: Building with CMake
This tutorial aims to get you up and running with GoogleTest using CMake. If
you're using GoogleTest for the first time or need a refresher, we recommend
this tutorial as a starting point. If your project uses Bazel, see the
[Quickstart for Bazel](quickstart-bazel.md) instead.
## Pre... | googleREPO_NAMEgoogletestPATH_START.@googletest_extracted@googletest-main@docs@quickstart-cmake.md@.PATH_END.py |
{
"filename": "manager.py",
"repo_name": "astroufsc/chimera",
"repo_path": "chimera_extracted/chimera-master/src/chimera/core/manager.py",
"type": "Python"
} | # SPDX-License-Identifier: GPL-2.0-or-later
# SPDX-FileCopyrightText: Copyright 2006-2024 Paulo Henrique Silva <ph.silva@gmail.com>
from chimera.core.classloader import ClassLoader
from chimera.core.server import Server
from chimera.core.resources import ResourcesManager
from chimera.core.location import Location
fro... | astroufscREPO_NAMEchimeraPATH_START.@chimera_extracted@chimera-master@src@chimera@core@manager.py@.PATH_END.py |
{
"filename": "dummy.py",
"repo_name": "simonsobs/nextline-schedule",
"repo_path": "nextline-schedule_extracted/nextline-schedule-main/src/nextline_schedule/dummy.py",
"type": "Python"
} | import random
from datetime import datetime
class DummyRequestStatement:
'''A mock scheduler for tests.
>>> async def main():
... scheduler = DummyRequestStatement()
... return await scheduler()
>>> import asyncio
>>> script = asyncio.run(main())
>>> code = compile(script, '<stri... | simonsobsREPO_NAMEnextline-schedulePATH_START.@nextline-schedule_extracted@nextline-schedule-main@src@nextline_schedule@dummy.py@.PATH_END.py |
{
"filename": "test_spfuncs.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py2/scipy/sparse/tests/test_spfuncs.py",
"type": "Python"
} | from __future__ import division, print_function, absolute_import
from numpy import array, kron, diag
from numpy.testing import assert_, assert_equal
from scipy.sparse import spfuncs
from scipy.sparse import csr_matrix, csc_matrix, bsr_matrix
from scipy.sparse._sparsetools import (csr_scale_rows, csr_scale_columns,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py2@scipy@sparse@tests@test_spfuncs.py@.PATH_END.py |
{
"filename": "fakes_plot.ipynb",
"repo_name": "snad-space/zwad",
"repo_path": "zwad_extracted/zwad-master/notebooks/fakes_plot.ipynb",
"type": "Jupyter Notebook"
} | ```python
%matplotlib inline
import matplotlib
import matplotlib.pyplot as plt
import pandas as pd
import os
import re
from matplotlib.ticker import EngFormatter, MultipleLocator
from glob import glob
from itertools import count
matplotlib.rcParams['text.usetex'] = True
matplotlib.rcParams['font.family'] = 'serif'
m... | snad-spaceREPO_NAMEzwadPATH_START.@zwad_extracted@zwad-master@notebooks@fakes_plot.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/parcats/line/colorbar/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._tickfont import Tickfont
from ._tickformatstop import Tickformatstop
from ._title import Title
from . import title
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@parcats@line@colorbar@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "NASA-Planetary-Science/sbpy",
"repo_path": "sbpy_extracted/sbpy-main/sbpy/activity/gas/tests/__init__.py",
"type": "Python"
} | NASA-Planetary-ScienceREPO_NAMEsbpyPATH_START.@sbpy_extracted@sbpy-main@sbpy@activity@gas@tests@__init__.py@.PATH_END.py | |
{
"filename": "download_hmi_continuum.py",
"repo_name": "RobertJaro/InstrumentToInstrument",
"repo_path": "InstrumentToInstrument_extracted/InstrumentToInstrument-master/itipy/download/download_hmi_continuum.py",
"type": "Python"
} | import argparse
import logging
import multiprocessing
import os
from datetime import datetime, timedelta
from urllib import request
import drms
import numpy as np
import pandas as pd
from astropy.io import fits
from sunpy.io._fits import header_to_fits
from sunpy.util import MetaDict
class HMIContinuumDownloader:
... | RobertJaroREPO_NAMEInstrumentToInstrumentPATH_START.@InstrumentToInstrument_extracted@InstrumentToInstrument-master@itipy@download@download_hmi_continuum.py@.PATH_END.py |
{
"filename": "test_populate.py",
"repo_name": "transientskp/tkp",
"repo_path": "tkp_extracted/tkp-master/tests/test_database/test_sql/test_populate.py",
"type": "Python"
} | import unittest
from tkp.testutil.decorators import requires_test_db_managed
import tkp.db.sql.populate
import os
import getpass
config = {
'engine': os.environ.get('TKP_DBENGINE', 'postgresql'),
'database': 'test_management',
'user': os.environ.get('TKP_DBUSER', getpass.getuser()),
'password': os.en... | transientskpREPO_NAMEtkpPATH_START.@tkp_extracted@tkp-master@tests@test_database@test_sql@test_populate.py@.PATH_END.py |
{
"filename": "_deprecations.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/_deprecations.py",
"type": "Python"
} | import warnings
warnings.filterwarnings(
"default", r"plotly\.graph_objs\.\w+ is deprecated", DeprecationWarning
)
class Data(list):
"""
plotly.graph_objs.Data is deprecated.
Please replace it with a list or tuple of instances of the following types
- plotly.graph_objs.Scatter
- plotl... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@_deprecations.py@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/hypothesis/py3/hypothesis/internal/conjecture/utils.py",
"type": "Python"
} | # This file is part of Hypothesis, which may be found at
# https://github.com/HypothesisWorks/hypothesis/
#
# Copyright the Hypothesis Authors.
# Individual contributors are listed in AUTHORS.rst and the git log.
#
# This Source Code Form is subject to the terms of the Mozilla Public License,
# v. 2.0. If a copy of the... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@hypothesis@py3@hypothesis@internal@conjecture@utils.py@.PATH_END.py |
{
"filename": "viewer.py",
"repo_name": "fred3m/toyz",
"repo_path": "toyz_extracted/toyz-master/toyz/web/viewer.py",
"type": "Python"
} | # Copyright 2015 by Fred Moolekamp
# License: BSD 3-clause
from __future__ import print_function, division
from collections import OrderedDict
from toyz.utils.errors import ToyzJobError
import math
import os
import numpy as np
from toyz.utils import core
from toyz.web import session_vars
# Set the default values for t... | fred3mREPO_NAMEtoyzPATH_START.@toyz_extracted@toyz-master@toyz@web@viewer.py@.PATH_END.py |
{
"filename": "many_times.py",
"repo_name": "mcataneo/mochi_class_public",
"repo_path": "mochi_class_public_extracted/mochi_class_public-main/scripts/many_times.py",
"type": "Python"
} | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
# import necessary modules
# uncomment to get plots displayed in notebook
#get_ipython().run_line_magic('matplotlib', 'inline')
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
from classy import Class
from scipy.optimize import fsolve
from scipy.int... | mcataneoREPO_NAMEmochi_class_publicPATH_START.@mochi_class_public_extracted@mochi_class_public-main@scripts@many_times.py@.PATH_END.py |
{
"filename": "HAPI_KamodoRealFlight_JSONs.py",
"repo_name": "nasa/Kamodo",
"repo_path": "Kamodo_extracted/Kamodo-master/kamodo_ccmc/hapi/HAPI_KamodoRealFlight_JSONs.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Created on Fri Mar 31 13:35:57 2023
@author: rringuet
"""
import json
import urllib.request
import kamodo_ccmc.flythrough.model_wrapper as MW
# user determined inputs for JSON creation
dataset = 'CTIPe_D:/CTIPe/Storm_201303/_grace1'
variables_requested = ['v_nup_ilev', 'T_n', 'T_e', 'TEC',... | nasaREPO_NAMEKamodoPATH_START.@Kamodo_extracted@Kamodo-master@kamodo_ccmc@hapi@HAPI_KamodoRealFlight_JSONs.py@.PATH_END.py |
{
"filename": "gd1_util.py",
"repo_name": "jobovy/streamgap-pepper",
"repo_path": "streamgap-pepper_extracted/streamgap-pepper-main/gd1_util.py",
"type": "Python"
} | from galpy.df import streamdf, streamgapdf
from streampepperdf import streampepperdf
from galpy.orbit import Orbit
from galpy.potential import LogarithmicHaloPotential
from galpy.actionAngle import actionAngleIsochroneApprox
from galpy.util import bovy_conversion #for unit conversions
R0, V0= 8., 220.
def setup_gd1mode... | jobovyREPO_NAMEstreamgap-pepperPATH_START.@streamgap-pepper_extracted@streamgap-pepper-main@gd1_util.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattergl/hoverlabel/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._namelengthsrc import NamelengthsrcValidator
from ._namelength import NamelengthValidator
from ._font import FontValidator
from ._bordercolorsrc import BordercolorsrcValidator
from ._bordercolor import ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattergl@hoverlabel@__init__.py@.PATH_END.py |
{
"filename": "test.py",
"repo_name": "bolverk/huji-rich",
"repo_path": "huji-rich_extracted/huji-rich-master/tests/newtonian/one_dimensional/periodic_bc/test.py",
"type": "Python"
} | #! /usr/bin/python
import math
def goodness_of_fit(a1, a2):
import math
diff2 = [(x-y)**2 for x,y in zip(a1,a2)]
return math.sqrt(sum(diff2)/(max(a1)-min(a1))**2/len(a1))
def density_prof(x):
return 1+1e-6*math.sin(2*math.pi*x)
def pressure_prof(x):
return 3./5.+1e-6*math.sin(2*math.pi*x)
d... | bolverkREPO_NAMEhuji-richPATH_START.@huji-rich_extracted@huji-rich-master@tests@newtonian@one_dimensional@periodic_bc@test.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "smirik/resonances",
"repo_path": "resonances_extracted/resonances-main/resonances/resonance/__init__.py",
"type": "Python"
} | smirikREPO_NAMEresonancesPATH_START.@resonances_extracted@resonances-main@resonances@resonance@__init__.py@.PATH_END.py | |
{
"filename": "binary_system.py",
"repo_name": "matthiasfabry/spinOS",
"repo_path": "spinOS_extracted/spinOS-master/modules/binary_system.py",
"type": "Python"
} | """
Copyright 2020-2024 Matthias Fabry
This file is part of spinOS.
spinOS 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.
spinOS is distri... | matthiasfabryREPO_NAMEspinOSPATH_START.@spinOS_extracted@spinOS-master@modules@binary_system.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "miguelcarcamov/csromer",
"repo_path": "csromer_extracted/csromer-master/src/csromer/optimization/__init__.py",
"type": "Python"
} | from .methods import *
from .optimizer import *
| miguelcarcamovREPO_NAMEcsromerPATH_START.@csromer_extracted@csromer-master@src@csromer@optimization@__init__.py@.PATH_END.py |
{
"filename": "model_test_pipeline.py",
"repo_name": "itseez/opencv",
"repo_path": "opencv_extracted/opencv-master/samples/dnn/dnn_model_runner/dnn_conversion/common/test/model_test_pipeline.py",
"type": "Python"
} | import os
import numpy as np
from .configs.test_config import CommonConfig
from ..utils import create_parser, plot_acc
class ModelTestPipeline:
def __init__(
self,
network_model,
model_processor,
dnn_model_processor
):
self._net_model = network_model
... | itseezREPO_NAMEopencvPATH_START.@opencv_extracted@opencv-master@samples@dnn@dnn_model_runner@dnn_conversion@common@test@model_test_pipeline.py@.PATH_END.py |
{
"filename": "table_row.py",
"repo_name": "LSSTDESC/Imsim",
"repo_path": "Imsim_extracted/Imsim-main/imsim/table_row.py",
"type": "Python"
} | import astropy.units as u
import galsim
from astropy.table import QTable
from galsim.config import (
GetAllParams,
GetInputObj,
InputLoader,
RegisterInputType,
RegisterValueType,
)
class TableRow:
"""Class to extract one row from an astropy QTable and make it available to the
galsim config... | LSSTDESCREPO_NAMEImsimPATH_START.@Imsim_extracted@Imsim-main@imsim@table_row.py@.PATH_END.py |
{
"filename": "trace.py",
"repo_name": "hannorein/REBOUND",
"repo_path": "REBOUND_extracted/REBOUND-main/rebound/integrators/trace.py",
"type": "Python"
} | import ctypes
from ctypes import cast
from .. import clibrebound
from ..simulation import Simulation
from ..particle import Particle
from ..vectors import Vec3dBasic
TRACE_PERI_MODES = {"FULL_BS": 1, "PARTIAL_BS": 0, "FULL_IAS15": 2}
class IntegratorTRACE(ctypes.Structure):
"""
This class is an abstraction o... | hannoreinREPO_NAMEREBOUNDPATH_START.@REBOUND_extracted@REBOUND-main@rebound@integrators@trace.py@.PATH_END.py |
{
"filename": "example_module2.py",
"repo_name": "joezuntz/cosmosis",
"repo_path": "cosmosis_extracted/cosmosis-main/cosmosis/test/example_module2.py",
"type": "Python"
} | from cosmosis.runtime import register_new_parameter
def setup(options):
# example of how to register a new parameter in the pipeline
# from where.
register_new_parameter(
options, # the options datablock we were just passed
"new_parameters", # section
"p3", # name
-1.0, # ... | joezuntzREPO_NAMEcosmosisPATH_START.@cosmosis_extracted@cosmosis-main@cosmosis@test@example_module2.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "Keck-DataReductionPipelines/KPF-Pipeline",
"repo_path": "KPF-Pipeline_extracted/KPF-Pipeline-master/database/modules/query_db_before_after_master_files/src/__init__.py",
"type": "Python"
} | Keck-DataReductionPipelinesREPO_NAMEKPF-PipelinePATH_START.@KPF-Pipeline_extracted@KPF-Pipeline-master@database@modules@query_db_before_after_master_files@src@__init__.py@.PATH_END.py | |
{
"filename": "moduleCheck.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/helpers/moduleCheck.py",
"type": "Python"
} | from modulefinder import ModuleFinder
import sys, os
import filecmp
mod_name = sys.argv[1]
mod_file = sys.argv[2]
finder = ModuleFinder()
finder.run_script(mod_file)
current_stamp_name = mod_name + "_stamp.cmake"
tmp_stamp_name = current_stamp_name + ".tmp"
newF = open(tmp_stamp_name, "w")
newF.write("set("+mod_nam... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@helpers@moduleCheck.py@.PATH_END.py |
{
"filename": "_position.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/pie/title/_position.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class PositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="position", parent_name="pie.title", **kwargs):
super(PositionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@pie@title@_position.py@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "hmuellergoe/mrbeam",
"repo_path": "mrbeam_extracted/mrbeam-main/mr_beam/imagingbase/imagingbase/solvers/utils.py",
"type": "Python"
} | from scipy.optimize import curve_fit
from imagingbase.operators.msi import DOGDictionary
from regpy.discrs import Discretization
import numpy as np
from copy import deepcopy
class BuildMerger():
def __init__(self, obj):
self.obj = deepcopy(obj)
def _build_merger(self):
widths = se... | hmuellergoeREPO_NAMEmrbeamPATH_START.@mrbeam_extracted@mrbeam-main@mr_beam@imagingbase@imagingbase@solvers@utils.py@.PATH_END.py |
{
"filename": "debugging.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/autograph/g3doc/reference/debugging.md",
"type": "Markdown"
} | # AutoGraph reference
[Index](index.md)
## Debugging AutoGraph code
The recommended way to debug AutoGraph code is to run it eagerly (see below).
AutoGraph generates a new function, rather than directly executing the input
function. Non-code elements, such as breakpoints, do not transfer to the
generated code.
You... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@autograph@g3doc@reference@debugging.md@.PATH_END.py |
{
"filename": "charged_particle_radiography_particle_tracing_wire_mesh.ipynb",
"repo_name": "PlasmaPy/PlasmaPy",
"repo_path": "PlasmaPy_extracted/PlasmaPy-main/docs/notebooks/diagnostics/charged_particle_radiography_particle_tracing_wire_mesh.ipynb",
"type": "Jupyter Notebook"
} | # Synthetic Charged Particle Radiographs with a Wire Mesh
[Tracker]: ../../api/plasmapy.diagnostics.charged_particle_radiography.synthetic_radiography.Tracker.rst#plasmapy.diagnostics.charged_particle_radiography.synthetic_radiography.Tracker
[add_wire_mesh()]: ../../api/plasmapy.diagnostics.charged_particle_radiogra... | PlasmaPyREPO_NAMEPlasmaPyPATH_START.@PlasmaPy_extracted@PlasmaPy-main@docs@notebooks@diagnostics@charged_particle_radiography_particle_tracing_wire_mesh.ipynb@.PATH_END.py |
{
"filename": "config.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/ipykernel/py2/ipykernel/pylab/config.py",
"type": "Python"
} | """Configurable for configuring the IPython inline backend
This module does not import anything from matplotlib.
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full lice... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@ipykernel@py2@ipykernel@pylab@config.py@.PATH_END.py |
{
"filename": "RMClip.py",
"repo_name": "bill-cotton/Obit",
"repo_path": "Obit_extracted/Obit-master/ObitSystem/Obit/share/scripts/RMClip.py",
"type": "Python"
} | # Clip RM and EVLA planes in RMFit cube by ppol
import Image, FArray, ImageUtil, FArray, OSystem, OErr
import History
# filename = 'J1723+6547_AK_PB.fits'
# inMF = Image.newPFImage('in', filename, 0, True, err)
# OSystem.PAllowThreads(24)
# exec(open('PBCorImageMF.py').read())
#RMClip (inMF, err, minPPol=50.0e-6)
RMCl... | bill-cottonREPO_NAMEObitPATH_START.@Obit_extracted@Obit-master@ObitSystem@Obit@share@scripts@RMClip.py@.PATH_END.py |
{
"filename": "_family.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/scene/zaxis/title/font/_family.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="family",
parent_name="layout.scene.zaxis.title.font",
**kwargs,
):
super(FamilyValidator, self).__init__(
plotly_name=pl... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@scene@zaxis@title@font@_family.py@.PATH_END.py |
{
"filename": "help.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/geminidr/interactive/fit/help.py",
"type": "Python"
} |
__all__ = ["PLOT_TOOLS_WITH_SELECT_HELP_SUBTEXT", "PLOT_TOOLS_HELP_SUBTEXT", "REGION_EDITING_HELP_SUBTEXT",
"CALCULATE_SENSITIVITY_HELP_TEXT", "DETERMINE_WAVELENGTH_SOLUTION_HELP_TEXT",
"NORMALIZE_FLAT_HELP_TEXT", "DEFAULT_HELP", "TRACE_APERTURES", "SKY_CORRECT_FROM_SLIT_HELP_TEXT"]
def _plot_... | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@geminidr@interactive@fit@help.py@.PATH_END.py |
{
"filename": "fig1.ipynb",
"repo_name": "maho3/ltu-ili",
"repo_path": "ltu-ili_extracted/ltu-ili-main/paper/fig1_example/fig1.ipynb",
"type": "Jupyter Notebook"
} | ```python
import os
from os.path import join
import matplotlib as mpl
import matplotlib.pyplot as plt
mpl.style.use('paper.mcstyle')
import seaborn as sns
import numpy as np
```
```python
import ili
```
## Posterior/Likelihood example
```python
from sklearn.datasets import make_s_curve
from scipy.stats import ga... | maho3REPO_NAMEltu-iliPATH_START.@ltu-ili_extracted@ltu-ili-main@paper@fig1_example@fig1.ipynb@.PATH_END.py |
{
"filename": "RVSInterpolator.py",
"repo_name": "segasai/rvspecfit",
"repo_path": "rvspecfit_extracted/rvspecfit-master/py/rvspecfit/nn/RVSInterpolator.py",
"type": "Python"
} | from . import NNInterpolator
import torch
import scipy.spatial
import numpy as np
import os
import logging
device_env_name = 'RVS_NN_DEVICE'
if device_env_name in os.environ:
device_env = os.environ[device_env_name]
else:
device_env = None
class RVSInterpolator:
def __init__(self, kwargs):
self.... | segasaiREPO_NAMErvspecfitPATH_START.@rvspecfit_extracted@rvspecfit-master@py@rvspecfit@nn@RVSInterpolator.py@.PATH_END.py |
{
"filename": "test_regularized_covariance.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/statsmodels/stats/tests/test_regularized_covariance.py",
"type": "Python"
} | import numpy as np
from numpy.testing import assert_equal, assert_
from statsmodels.stats.regularized_covariance import (
_calc_nodewise_row, _calc_nodewise_weight,
_calc_approx_inv_cov, RegularizedInvCovariance)
def test_calc_nodewise_row():
np.random.seed(435265)
X = np.random.normal(size=(50, 3))
... | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@statsmodels@stats@tests@test_regularized_covariance.py@.PATH_END.py |
{
"filename": "_weight.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattersmith/textfont/_weight.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WeightValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="weight", parent_name="scattersmith.textfont", **kwargs
):
super(WeightValidator, self).__init__(
plotly_name=plotly_name,
parent_na... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattersmith@textfont@_weight.py@.PATH_END.py |
{
"filename": "test_blender.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/examples/applications/test_blender.py",
"type": "Python"
} | # 1BPY
"""
Name: 'sun-earth'
Blender: 249
Group:'Add'
Tooltip: 'Amuse example'
"""
from amuse.community.hermite.interface import Hermite
from amuse.units import nbody_system
from amuse.units import units
from amuse.ext.blender import blender # get blender API
import numpy as np
from amuse import datamodel
class Su... | amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@examples@applications@test_blender.py@.PATH_END.py |
{
"filename": "_size.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/streamtube/colorbar/title/font/_size.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="size", parent_name="streamtube.colorbar.title.font", **kwargs
):
super(SizeValidator, self).__init__(
plotly_name=plotly_name,
parent_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@streamtube@colorbar@title@font@_size.py@.PATH_END.py |
{
"filename": "11143_pils_absflux.py",
"repo_name": "shreeyesh-biswal/Rvalue_3D",
"repo_path": "Rvalue_3D_extracted/Rvalue_3D-main/Codes/Zero/AR_11143/11143_pils_absflux.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Nov 5 22:30:51 2022
@author: shreeyeshbiswal
"""
import os
import numpy as np
import matplotlib as mpl
from matplotlib import pyplot as plt
from matplotlib.pyplot import figure
AR = "11143"
core_dir = "/home/shreeyeshbiswal/IDLWorkspace/Dataset_PF/"
... | shreeyesh-biswalREPO_NAMERvalue_3DPATH_START.@Rvalue_3D_extracted@Rvalue_3D-main@Codes@Zero@AR_11143@11143_pils_absflux.py@.PATH_END.py |
{
"filename": "test_corrs.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/astropy/time/tests/test_corrs.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import pytest
from ... import units as u
from ...coordinates import EarthLocation, SkyCoord, solar_system_ephemeris
from .. import Time, TimeDelta
from ...tests.helper import remote_data
try:
import jplephem # pylint: disable=W0611
except ImportErro... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@astropy@time@tests@test_corrs.py@.PATH_END.py |
{
"filename": "n_inputs3_line_bands.ipynb",
"repo_name": "Vital-Fernandez/lime",
"repo_path": "lime_extracted/lime-master/examples/inputs/n_inputs3_line_bands.ipynb",
"type": "Jupyter Notebook"
} | # Line Bands
The second input in a $LiMe$ measurement is the line bands. These are the intervales with the line location and two adjacent and featureless continua. This design was inspired by the the Lick indexes by [Worthey et al (1993) and references therein](https://ui.adsabs.harvard.edu/abs/1994ApJS...94..687W/abs... | Vital-FernandezREPO_NAMElimePATH_START.@lime_extracted@lime-master@examples@inputs@n_inputs3_line_bands.ipynb@.PATH_END.py |
{
"filename": "misc.py",
"repo_name": "davidharvey1986/pyRRG",
"repo_path": "pyRRG_extracted/pyRRG-master/unittests/bugFixPyRRG/lib/python3.7/site-packages/pip/_vendor/distlib/_backport/misc.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
#
# Copyright (C) 2012 The Python Software Foundation.
# See LICENSE.txt and CONTRIBUTORS.txt.
#
"""Backports for individual classes and functions."""
import os
import sys
__all__ = ['cache_from_source', 'callable', 'fsencode']
try:
from imp import cache_from_source
except ImportError:
... | davidharvey1986REPO_NAMEpyRRGPATH_START.@pyRRG_extracted@pyRRG-master@unittests@bugFixPyRRG@lib@python3.7@site-packages@pip@_vendor@distlib@_backport@misc.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/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._annotation import Annotation
from ._aspectratio import Aspectratio
from ._camera import Camera
from ._domain import Domain
from ._xaxis import XAxis
from ._yaxis import YAxis
from ._zaxis impor... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@layout@scene@__init__.py@.PATH_END.py |
{
"filename": "hfilter.py",
"repo_name": "HiPERCAM/hipercam",
"repo_path": "hipercam_extracted/hipercam-master/hipercam/scripts/hfilter.py",
"type": "Python"
} | import sys
import os
import numpy as np
from astropy.convolution import Gaussian2DKernel, convolve, convolve_fft
from trm import cline
from trm.cline import Cline
import hipercam as hcam
#######################################
#
# hfilter -- filters a multi-CCD image.
#
#######################################
def... | HiPERCAMREPO_NAMEhipercamPATH_START.@hipercam_extracted@hipercam-master@hipercam@scripts@hfilter.py@.PATH_END.py |
{
"filename": "_unselected.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattergl/_unselected.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class UnselectedValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="unselected", parent_name="scattergl", **kwargs):
super(UnselectedValidator, 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@scattergl@_unselected.py@.PATH_END.py |
{
"filename": "survey_window.ipynb",
"repo_name": "MikeSWang/Harmonia",
"repo_path": "Harmonia_extracted/Harmonia-master/application/publication/survey_window.ipynb",
"type": "Jupyter Notebook"
} | # Survey Window
```python
import os
import sys
from pathlib import Path
repo_root = Path(os.getcwd()).parent
sys.path.insert(0, str(repo_root))
```
```python
import matplotlib.pyplot as plt
import healpy as hp
import numpy as np
from pipeline import harmony
from harmonia.algorithms import CartesianArray
plt.styl... | MikeSWangREPO_NAMEHarmoniaPATH_START.@Harmonia_extracted@Harmonia-master@application@publication@survey_window.ipynb@.PATH_END.py |
{
"filename": "test_diff_mc_halos.py",
"repo_name": "ArgonneCPAC/diffmah",
"repo_path": "diffmah_extracted/diffmah-main/diffmah/tests/test_diff_mc_halos.py",
"type": "Python"
} | """Unit test of the new differentiable Monte Carlo generator
"""
import numpy as np
from jax import jit as jjit
from jax import numpy as jnp
from jax import random as jran
from jax import value_and_grad
from ..monte_carlo_halo_population import _mc_halo_mahs, mc_halo_population
from ..rockstar_pdf_model import DEFAULT... | ArgonneCPACREPO_NAMEdiffmahPATH_START.@diffmah_extracted@diffmah-main@diffmah@tests@test_diff_mc_halos.py@.PATH_END.py |
{
"filename": "NamingService.py",
"repo_name": "ACS-Community/ACS",
"repo_path": "ACS_extracted/ACS-master/LGPL/CommonSoftware/acspycommon/src/Acspy/Util/NamingService.py",
"type": "Python"
} | # @(#) $Id: NamingService.py,v 1.1.1.1 2012/03/07 17:40:45 acaproni Exp $
#
# ALMA - Atacama Large Millimiter Array
# (c) Associated Universities, Inc. Washington DC, USA, 2001
# (c) European Southern Observatory, 2002
# Copyright by ESO (in the framework of the ALMA collaboration)
# and Cosylab 2002, A... | ACS-CommunityREPO_NAMEACSPATH_START.@ACS_extracted@ACS-master@LGPL@CommonSoftware@acspycommon@src@Acspy@Util@NamingService.py@.PATH_END.py |
{
"filename": "base.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/agents/react/base.py",
"type": "Python"
} | """Chain that implements the ReAct paper from https://arxiv.org/pdf/2210.03629.pdf."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, List, Optional, Sequence
from langchain_core._api import deprecated
from langchain_core.documents import Document
from langchain_core.language_models import... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@agents@react@base.py@.PATH_END.py |
{
"filename": "wd_node_temp.py",
"repo_name": "HERA-Team/hera_mc",
"repo_path": "hera_mc_extracted/hera_mc-main/scripts/wd_node_temp.py",
"type": "Python"
} | #! /usr/bin/env python
# -*- mode: python; coding: utf-8 -*-
# Copyright 2020 the HERA Collaboration
# Licensed under the 2-clause BSD license.
"""
Checks for node over-temperature conditions.
"""
import argparse
from hera_mc import watch_dog
parser = argparse.ArgumentParser("Script for cronjob monitoring node tempe... | HERA-TeamREPO_NAMEhera_mcPATH_START.@hera_mc_extracted@hera_mc-main@scripts@wd_node_temp.py@.PATH_END.py |
{
"filename": "first_steps_gadget+rockstar.md",
"repo_name": "pynbody/tangos",
"repo_path": "tangos_extracted/tangos-master/docs/first_steps_gadget+rockstar.md",
"type": "Markdown"
} | Tangos Tutorial – Gadget+Rockstar
=================================
Initial set up
--------------
This tutorial imports a gadget-run simulation with a [Rockstar](https://bitbucket.org/gfcstanford/rockstar/)
halo catalogue and [consistent-trees](https://bitbucket.org/pbehroozi/consistent-trees) merger information.
Ma... | pynbodyREPO_NAMEtangosPATH_START.@tangos_extracted@tangos-master@docs@first_steps_gadget+rockstar.md@.PATH_END.py |
{
"filename": "intro-to-pymc3.md",
"repo_name": "dfm/exoplanet",
"repo_path": "exoplanet_extracted/exoplanet-main/docs/tutorials/intro-to-pymc3.md",
"type": "Markdown"
} | ---
orphan: true
---
# Intro to PyMC3
This page has moved to {ref}`intro-to-pymc`.
| dfmREPO_NAMEexoplanetPATH_START.@exoplanet_extracted@exoplanet-main@docs@tutorials@intro-to-pymc3.md@.PATH_END.py |
{
"filename": "tools.py",
"repo_name": "s-ilic/ECLAIR",
"repo_path": "ECLAIR_extracted/ECLAIR-master/likelihoods/CMB/Planck/PR4/hillipop_TT_lite/tools.py",
"type": "Python"
} | # ------------------------------------------------------------------------------------------------
# Hillipop External Tools
# ------------------------------------------------------------------------------------------------
import os
import astropy.io.fits as fits
import numpy as np
import scipy.ndimage as nd
from num... | s-ilicREPO_NAMEECLAIRPATH_START.@ECLAIR_extracted@ECLAIR-master@likelihoods@CMB@Planck@PR4@hillipop_TT_lite@tools.py@.PATH_END.py |
{
"filename": "isofit.py",
"repo_name": "webbjj/m2mcluster",
"repo_path": "m2mcluster_extracted/m2mcluster-main/examples/isotropic/isofit.py",
"type": "Python"
} | """
The below script is an example of how to use m2mcluster to fit an M2M model to a previously genereated
mock isotropic dataset (mock_cluster.dat). In this example, only the mock clusters three dimensional
density profile is being used as the target observable
The initial model cluster is purposefully assumed to be ... | webbjjREPO_NAMEm2mclusterPATH_START.@m2mcluster_extracted@m2mcluster-main@examples@isotropic@isofit.py@.PATH_END.py |
{
"filename": "record_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/eager/record_test.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@eager@record_test.py@.PATH_END.py |
{
"filename": "table.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/matplotlib/py3/matplotlib/table.py",
"type": "Python"
} | # Original code by:
# John Gill <jng@europe.renre.com>
# Copyright 2004 John Gill and John Hunter
#
# Subsequent changes:
# The Matplotlib development team
# Copyright The Matplotlib development team
"""
Tables drawing.
.. note::
The table implementation in Matplotlib is lightly maintained. For a more... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@matplotlib@py3@matplotlib@table.py@.PATH_END.py |
{
"filename": "_tickformatstop.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/layout/coloraxis/colorbar/_tickformatstop.py",
"type": "Python"
} | from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
import copy as _copy
class Tickformatstop(_BaseLayoutHierarchyType):
# class properties
# --------------------
_parent_path_str = "layout.coloraxis.colorbar"
_path_str = "layout.coloraxis.colorbar.tickformatstop"
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@layout@coloraxis@colorbar@_tickformatstop.py@.PATH_END.py |
{
"filename": "radiation_unit_test.py",
"repo_name": "libgamera/GAMERA",
"repo_path": "GAMERA_extracted/GAMERA-master/unit_tests/radiation_unit_test.py",
"type": "Python"
} | #/usr/local/bin/python
import sys
import os
import numpy as np
sys.path.append(os.path.abspath('../lib'))
import gappa as gp
import unittest
class TestRadiationClass(unittest.TestCase):
def grey_body(self,e,t,e_dens):
return 15*e_dens*(gp.pi*gp.kb*t)**-4 *e**2 / (np.exp(e /(gp.kb*t))-1)
def write_g... | libgameraREPO_NAMEGAMERAPATH_START.@GAMERA_extracted@GAMERA-master@unit_tests@radiation_unit_test.py@.PATH_END.py |
{
"filename": "_tickformatstop.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/bar/marker/colorbar/_tickformatstop.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Tickformatstop(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "bar.marker.colorbar"
_path_str = "bar.marker.colorbar.tickformatstop"
_valid_props =... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@bar@marker@colorbar@_tickformatstop.py@.PATH_END.py |
{
"filename": "ics_cooling.py",
"repo_name": "hongwanliu/DarkHistory",
"repo_path": "DarkHistory_extracted/DarkHistory-master/darkhistory/electrons/ics/ics_cooling.py",
"type": "Python"
} | """Electron cooling through ICS."""
import numpy as np
import pickle
import darkhistory.physics as phys
import darkhistory.spec.transferfunction as tf
import darkhistory.spec.spectools as spectools
from darkhistory.spec.spectrum import Spectrum
from darkhistory.electrons.ics.ics_spectrum import ics_spec
from darkhi... | hongwanliuREPO_NAMEDarkHistoryPATH_START.@DarkHistory_extracted@DarkHistory-master@darkhistory@electrons@ics@ics_cooling.py@.PATH_END.py |
{
"filename": "Making_Images4slew.py",
"repo_name": "Swift-BAT/NITRATES",
"repo_path": "NITRATES_extracted/NITRATES-main/nitrates/imaging/Making_Images4slew.py",
"type": "Python"
} | import numpy as np
import argparse
from ..lib.funcs2run_bat_tools import mk_sky_imgs4time_list
def cli():
parser = argparse.ArgumentParser()
parser.add_argument(
"--t0", type=float, help="Min image start time to use (MET (s))", default=None
)
parser.add_argument(
"--dt",
type=... | Swift-BATREPO_NAMENITRATESPATH_START.@NITRATES_extracted@NITRATES-main@nitrates@imaging@Making_Images4slew.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/xaxis/rangeselector/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._button import Button
from ._font import Font
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._button.Button", "._font.Fo... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@layout@xaxis@rangeselector@__init__.py@.PATH_END.py |
{
"filename": "test_fitting.py",
"repo_name": "cosmo-ethz/seek",
"repo_path": "seek_extracted/seek-master/test/test_fitting.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_fitting.py@.PATH_END.py |
{
"filename": "tf_text_graph_common.py",
"repo_name": "itseez/opencv",
"repo_path": "opencv_extracted/opencv-master/samples/dnn/tf_text_graph_common.py",
"type": "Python"
} | def tokenize(s):
tokens = []
token = ""
isString = False
isComment = False
for symbol in s:
isComment = (isComment and symbol != '\n') or (not isString and symbol == '#')
if isComment:
continue
if symbol == ' ' or symbol == '\t' or symbol == '\r' or symbol == '\'... | itseezREPO_NAMEopencvPATH_START.@opencv_extracted@opencv-master@samples@dnn@tf_text_graph_common.py@.PATH_END.py |
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