metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "test_waste_free_smc.py",
"repo_name": "blackjax-devs/blackjax",
"repo_path": "blackjax_extracted/blackjax-main/tests/smc/test_waste_free_smc.py",
"type": "Python"
} | """Test the tempered SMC steps and routine"""
import functools
import chex
import jax
import jax.numpy as jnp
import numpy as np
import pytest
from absl.testing import absltest
import blackjax
import blackjax.smc.resampling as resampling
from blackjax import adaptive_tempered_smc, tempered_smc
from blackjax.smc impo... | blackjax-devsREPO_NAMEblackjaxPATH_START.@blackjax_extracted@blackjax-main@tests@smc@[email protected]_END.py |
{
"filename": "_y0.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/box/_y0.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="y0", parent_name="box", **kwargs):
super(Y0Validator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop... | [email protected][email protected]@packages@python@plotly@plotly@validators@box@[email protected]_END.py |
{
"filename": "crd_trans.py",
"repo_name": "dullemond/radmc3d-2.0",
"repo_path": "radmc3d-2.0_extracted/radmc3d-2.0-master/python/radmc3dPy/radmc3dPy/crd_trans.py",
"type": "Python"
} | """
This module contains functions for coordinate transformations (e.g. rotation).
For help on the syntax or functionality of each function see the help of the individual functions
"""
from __future__ import absolute_import
from __future__ import print_function
import traceback
try:
import numpy as np
except Impor... | [email protected][email protected]@python@radmc3dPy@radmc3dPy@[email protected]_END.py |
{
"filename": "test_st_prompt_list.py",
"repo_name": "simonsobs/nextline-rdb",
"repo_path": "nextline-rdb_extracted/nextline-rdb-main/src/nextline_rdb/models/strategies/tests/test_st_prompt_list.py",
"type": "Python"
} | from typing import Optional, TypedDict
from hypothesis import Phase, given, note, settings
from hypothesis import strategies as st
from nextline_test_utils import safe_compare as sc
from nextline_test_utils.strategies import st_none_or, st_ranges
from ... import Model, Run
from .. import (
st_model_prompt_list,
... | simonsobsREPO_NAMEnextline-rdbPATH_START.@nextline-rdb_extracted@nextline-rdb-main@src@nextline_rdb@models@strategies@tests@[email protected]_END.py |
{
"filename": "helpers.py",
"repo_name": "spacetelescope/calcos",
"repo_path": "calcos_extracted/calcos-master/tests/helpers.py",
"type": "Python"
} | """CALCOS regression test helpers."""
import os
import sys
import pytest
from ci_watson.artifactory_helpers import get_bigdata
from ci_watson.hst_helpers import raw_from_asn, ref_from_image, download_crds
from astropy.io import fits
from astropy.io.fits import FITSDiff
__all__ = ['calref_from_image', 'BaseCOS']
d... | spacetelescopeREPO_NAMEcalcosPATH_START.@calcos_extracted@calcos-master@[email protected]@.PATH_END.py |
{
"filename": "find_stars.py",
"repo_name": "ucl-exoplanets/pylightcurve",
"repo_path": "pylightcurve_extracted/pylightcurve-master/pylightcurve/images/find_stars.py",
"type": "Python"
} |
__all__ = ['find_single_star']
import numpy as np
import warnings
from pylightcurve.analysis.gaussian import fit_two_d_gaussian
from pylightcurve.analysis.distributions import one_d_distribution
def find_single_star(data_array, predicted_x, predicted_y, mean=None, std=None, burn_limit=65000, star_std=2,
... | ucl-exoplanetsREPO_NAMEpylightcurvePATH_START.@pylightcurve_extracted@pylightcurve-master@pylightcurve@images@[email protected]_END.py |
{
"filename": "Useful_Utilities.ipynb",
"repo_name": "LSSTDESC/rail",
"repo_path": "rail_extracted/rail-main/examples/core_examples/Useful_Utilities.ipynb",
"type": "Jupyter Notebook"
} | # Useful Utilities
**Authors:** Olivia Lynn
**Last Run Successfully:** September 20, 2023
This is a notebook that contains various utilities that may be used when working with RAIL.
## Setting Things Up
```python
import rail
```
### Listing imported stages (1/2)
Let's list out our currently imported stages. Rig... | LSSTDESCREPO_NAMErailPATH_START.@rail_extracted@rail-main@examples@core_examples@[email protected]_END.py |
{
"filename": "__init__.py",
"repo_name": "ahmedfgad/GeneticAlgorithmPython",
"repo_path": "GeneticAlgorithmPython_extracted/GeneticAlgorithmPython-master/pygad/utils/__init__.py",
"type": "Python"
} | from pygad.utils import parent_selection
from pygad.utils import crossover
from pygad.utils import mutation
from pygad.utils import nsga2
__version__ = "1.2.1" | ahmedfgadREPO_NAMEGeneticAlgorithmPythonPATH_START.@GeneticAlgorithmPython_extracted@GeneticAlgorithmPython-master@pygad@utils@[email protected]_END.py |
{
"filename": "test_special.py",
"repo_name": "pyro-ppl/pyro",
"repo_path": "pyro_extracted/pyro-master/tests/ops/test_special.py",
"type": "Python"
} | # Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
import pytest
import torch
from scipy.special import iv
from torch import tensor
from torch.autograd import grad
from pyro.ops.special import get_quad_rule, log_beta, log_binomial, log_I1, safe_log
from tests.common import assert_equa... | pyro-pplREPO_NAMEpyroPATH_START.@pyro_extracted@pyro-master@tests@ops@[email protected]_END.py |
{
"filename": "scanner.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pygments/py3/pygments/scanner.py",
"type": "Python"
} | """
pygments.scanner
~~~~~~~~~~~~~~~~
This library implements a regex based scanner. Some languages
like Pascal are easy to parse but have some keywords that
depend on the context. Because of this it's impossible to lex
that just by using a regular expression lexer like the
`RegexLexer`.
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pygments@py3@[email protected]@.PATH_END.py |
{
"filename": "clusters.py",
"repo_name": "ICRAR/shark",
"repo_path": "shark_extracted/shark-master/standard_plots/clusters.py",
"type": "Python"
} | #
# ICRAR - International Centre for Radio Astronomy Research
# (c) UWA - The University of Western Australia, 2018
# Copyright by UWA (in the framework of the ICRAR)
#
# 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 Fre... | ICRARREPO_NAMEsharkPATH_START.@shark_extracted@shark-master@[email protected]@.PATH_END.py |
{
"filename": "filters.py",
"repo_name": "astro-informatics/s2wav",
"repo_path": "s2wav_extracted/s2wav-main/s2wav/filters.py",
"type": "Python"
} | from jax import jit
import jax.numpy as jnp
import torch
import numpy as np
from typing import Tuple
from functools import partial
from s2wav import samples
def filters_axisym(
L: int, J_min: int = 0, lam: float = 2.0
) -> Tuple[np.ndarray, np.ndarray]:
r"""Computes wavelet kernels :math:`\Psi^j_{\ell m}` and... | astro-informaticsREPO_NAMEs2wavPATH_START.@s2wav_extracted@s2wav-main@[email protected]@.PATH_END.py |
{
"filename": "saveable_object.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/training/saving/saveable_object.py",
"type": "Python"
} | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@training@saving@[email protected]_END.py |
{
"filename": "test_bookkeeping.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/geminidr/core/tests/test_bookkeeping.py",
"type": "Python"
} | # pytest suite
"""
Tests for primitives_bookkeeping.
This is a suite of tests to be run with pytest.
To run:
1) Set the environment variable GEMPYTHON_TESTDATA to the path that
contains the directories with the test data.
Eg. /net/chara/data2/pub/gempython_testdata/
2) From the ??? (location): p... | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@geminidr@core@tests@[email protected]_END.py |
{
"filename": "__init__.py",
"repo_name": "ggmichael/craterstats",
"repo_path": "craterstats_extracted/craterstats-main/src/craterstats/sample/__init__.py",
"type": "Python"
} | ggmichaelREPO_NAMEcraterstatsPATH_START.@craterstats_extracted@craterstats-main@src@craterstats@sample@[email protected]_END.py | |
{
"filename": "pi_pi_eta.py",
"repo_name": "LoganAMorrison/Hazma",
"repo_path": "Hazma_extracted/Hazma-master/hazma/vector_mediator/form_factors/pi_pi_eta.py",
"type": "Python"
} | """
F_{eta,pi,pi} = (1/Z) * BW(s, 0) [
a0*e^{i*p0}BW(q^2,0) +
a1*e^{i*p1}BW(q^2,1) +
a2*e^{i*p2}BW(q^2,2)
]
Z = a0*e^{i*p0} + a1*e^{i*p1} + a2*e^{i*p2}
"""
from dataclasses import dataclass
import numpy as np
from scipy.integrate import quad
from .cross_sections import width_to_cs
from hazma.utils impo... | LoganAMorrisonREPO_NAMEHazmaPATH_START.@Hazma_extracted@Hazma-master@hazma@vector_mediator@form_factors@[email protected]_END.py |
{
"filename": "_legendgrouptitle.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattercarpet/_legendgrouptitle.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LegendgrouptitleValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="legendgrouptitle", parent_name="scattercarpet", **kwargs
):
super(LegendgrouptitleValidator, self).__init__(
plotly_name=plotly_name... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattercarpet@[email protected]_END.py |
{
"filename": "make_figure_07.ipynb",
"repo_name": "tcallister/learning-p-det",
"repo_path": "learning-p-det_extracted/learning-p-det-main/figures/make_figure_07.ipynb",
"type": "Jupyter Notebook"
} | ```python
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
import matplotlib.ticker
mpl.style.use("plotting.mplstyle")
import pandas as pd
import sys
sys.path.append('./../../pdet/')
from pdet.emulator import *
sys.path.append("./../code/")
from training_routines import *
from draw_new_inject... | tcallisterREPO_NAMElearning-p-detPATH_START.@learning-p-det_extracted@learning-p-det-main@figures@[email protected]_END.py |
{
"filename": "io.py",
"repo_name": "google/flax",
"repo_path": "flax_extracted/flax-main/flax/io.py",
"type": "Python"
} | # Copyright 2024 The Flax Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | googleREPO_NAMEflaxPATH_START.@flax_extracted@flax-main@[email protected]@.PATH_END.py |
{
"filename": "data_structures.py",
"repo_name": "yt-project/yt",
"repo_path": "yt_extracted/yt-main/yt/frontends/exodus_ii/data_structures.py",
"type": "Python"
} | import numpy as np
from yt.data_objects.index_subobjects.unstructured_mesh import UnstructuredMesh
from yt.data_objects.static_output import Dataset
from yt.data_objects.unions import MeshUnion
from yt.funcs import setdefaultattr
from yt.geometry.unstructured_mesh_handler import UnstructuredIndex
from yt.utilities.fil... | yt-projectREPO_NAMEytPATH_START.@yt_extracted@yt-main@yt@frontends@exodus_ii@[email protected]_END.py |
{
"filename": "DQ_definitions.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/geminidr/gemini/lookups/DQ_definitions.py",
"type": "Python"
} | import numpy as np
datatype = np.uint16
max = np.iinfo(datatype).max
good = datatype(0)
bad_pixel = datatype(1)
non_linear = datatype(2)
saturated = datatype(4)
cosmic_ray = datatype(8)
no_data = datatype(16)
overlap = datatype(32)
unilluminated = datatype(64)
fail = bad_pixel | saturated | cosmic_ray | no_data
not_... | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@geminidr@gemini@lookups@[email protected]_END.py |
{
"filename": "utils.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/wcs/wcsapi/utils.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import importlib
import numpy as np
__all__ = ["deserialize_class", "wcs_info_str"]
def deserialize_class(tpl, construct=True):
"""
Deserialize classes recursively.
"""
if not isinstance(tpl, tuple) or len(tpl) != 3:
raise Valu... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@wcs@[email protected]@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "tvwenger/kd",
"repo_path": "kd_extracted/kd-master/setup.py",
"type": "Python"
} | """
Copyright(C) 2017-2021 by
Trey V. Wenger; [email protected]
GNU General Public License v3 (GNU GPLv3)
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 you... | tvwengerREPO_NAMEkdPATH_START.@kd_extracted@[email protected]@.PATH_END.py |
{
"filename": "increasebuffer.py",
"repo_name": "CosmicFish/CosmicFish",
"repo_path": "CosmicFish_extracted/CosmicFish-master/bundled/doxygen/src/increasebuffer.py",
"type": "Python"
} | # Since the internal token buffer of a generated flex file is hardcoded
# to 16K, this script is used to increase the buffer size of a flex
# generated scanner to 256K.
import sys
sys.stdout.write(sys.stdin.read().
replace('YY_BUF_SIZE 16384','YY_BUF_SIZE 262144').
replace('YY_READ_BUF_SIZE 8192','YY_READ_BUF_S... | CosmicFishREPO_NAMECosmicFishPATH_START.@CosmicFish_extracted@CosmicFish-master@bundled@doxygen@[email protected]@.PATH_END.py |
{
"filename": "_name.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/image/_name.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="name", parent_name="layout.image", **kwargs):
super(NameValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
ed... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@image@[email protected]_END.py |
{
"filename": "__init__.py",
"repo_name": "ESDS-Leipzig/sen2nbar",
"repo_path": "sen2nbar_extracted/sen2nbar-main/sen2nbar/__init__.py",
"type": "Python"
} | """sen2nbar - Nadir BRDF Adjusted Reflectance (NBAR) for Sentinel-2 in Python"""
__version__ = "2024.6.0"
__author__ = "David Montero Loaiza <[email protected]>"
__all__ = []
from . import *
| ESDS-LeipzigREPO_NAMEsen2nbarPATH_START.@sen2nbar_extracted@sen2nbar-main@sen2nbar@[email protected]_END.py |
{
"filename": "_h_e_a_d.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/fonttools/fontTools/ttLib/tables/_h_e_a_d.py",
"type": "Python"
} | from fontTools.misc import sstruct
from fontTools.misc.fixedTools import floatToFixedToStr, strToFixedToFloat
from fontTools.misc.textTools import safeEval, num2binary, binary2num
from fontTools.misc.timeTools import (
timestampFromString,
timestampToString,
timestampNow,
)
from fontTools.misc.timeTools imp... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@fonttools@fontTools@ttLib@tables@[email protected]_END.py |
{
"filename": "bayesian.ipynb",
"repo_name": "sotzee/CPREX",
"repo_path": "CPREX_extracted/CPREX-main/bayesian.ipynb",
"type": "Jupyter Notebook"
} | ```python
```
```python
import numpy as np
import scipy
import toolbox
import unitconvert
from matplotlib_rc import *
from load_all_data import *
from cov import cov_ellipse_xy
from pdf_plot import get_kde_1D,get_kde_2D,plot_density_2D
Fw_exp=np.array([0.1304,0.368])
Fw_sig2=np.array([0.0052**2+0.002**2,0.013**2]... | sotzeeREPO_NAMECPREXPATH_START.@CPREX_extracted@[email protected]@.PATH_END.py |
{
"filename": "AmoebaFitter.py",
"repo_name": "dokester/BayesicFitting",
"repo_path": "BayesicFitting_extracted/BayesicFitting-master/BayesicFitting/source/AmoebaFitter.py",
"type": "Python"
} | import numpy as numpy
import math
from . import Tools
from .MaxLikelihoodFitter import MaxLikelihoodFitter
from .AnnealingAmoeba import AnnealingAmoeba
__author__ = "Do Kester"
__year__ = 2023
__license__ = "GPL3"
__version__ = "3.1.0"
__url__ = "https://www.bayesicfitting.nl"
__status__ = "Perpetual Beta"
# *
# *... | dokesterREPO_NAMEBayesicFittingPATH_START.@BayesicFitting_extracted@BayesicFitting-master@BayesicFitting@[email protected]@.PATH_END.py |
{
"filename": "_xref.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/surface/colorbar/_xref.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="xref", parent_name="surface.colorbar", **kwargs):
super(XrefValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@surface@colorbar@[email protected]_END.py |
{
"filename": "__init__.py",
"repo_name": "bwinkel/cygrid",
"repo_path": "cygrid_extracted/cygrid-master/cygrid/__init__.py",
"type": "Python"
} | from .cygrid import *
from .healpix import *
from .hphashtab import *
from .helpers import *
from .mock import *
from .init_testrunner import *
from .version import version
__version__ = version
| bwinkelREPO_NAMEcygridPATH_START.@cygrid_extracted@cygrid-master@cygrid@[email protected]_END.py |
{
"filename": "setup.py",
"repo_name": "Keck-DataReductionPipelines/KPF-Pipeline",
"repo_path": "KPF-Pipeline_extracted/KPF-Pipeline-master/setup.py",
"type": "Python"
} | from setuptools import setup, find_packages
import re
def get_property(prop, project):
result = re.search(r'{}\s*=\s*[\'"]([^\'"]*)[\'"]'.format(prop),
open(project + '/__init__.py').read())
return result.group(1)
# reqs = []
# for line in open('requirements.txt', 'r').readlines():
# ... | Keck-DataReductionPipelinesREPO_NAMEKPF-PipelinePATH_START.@KPF-Pipeline_extracted@[email protected]@.PATH_END.py |
{
"filename": "_lineposition.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/densitymap/legendgrouptitle/font/_lineposition.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LinepositionValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(
self,
plotly_name="lineposition",
parent_name="densitymap.legendgrouptitle.font",
**kwargs,
):
super(LinepositionValidator, self).__init__(
... | [email protected][email protected]@packages@python@plotly@plotly@validators@densitymap@legendgrouptitle@font@[email protected]_END.py |
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