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@test_waste_free_smc.py@.PATH_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... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@box@_y0.py@.PATH_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... | dullemondREPO_NAMEradmc3d-2.0PATH_START.@radmc3d-2.0_extracted@radmc3d-2.0-master@python@radmc3dPy@radmc3dPy@crd_trans.py@.PATH_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@test_st_prompt_list.py@.PATH_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@tests@helpers.py@.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@find_stars.py@.PATH_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@Useful_Utilities.ipynb@.PATH_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@__init__.py@.PATH_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@test_special.py@.PATH_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@pygments@scanner.py@.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@standard_plots@clusters.py@.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@s2wav@filters.py@.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@saveable_object.py@.PATH_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@test_bookkeeping.py@.PATH_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@__init__.py@.PATH_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@pi_pi_eta.py@.PATH_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@_legendgrouptitle.py@.PATH_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@make_figure_07.ipynb@.PATH_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@flax@io.py@.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@data_structures.py@.PATH_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@DQ_definitions.py@.PATH_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@wcsapi@utils.py@.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; tvwenger@gmail.com
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@kd-master@setup.py@.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@src@increasebuffer.py@.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@_name.py@.PATH_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 <dml.mont@gmail.com>"
__all__ = []
from . import *
| ESDS-LeipzigREPO_NAMEsen2nbarPATH_START.@sen2nbar_extracted@sen2nbar-main@sen2nbar@__init__.py@.PATH_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@_h_e_a_d.py@.PATH_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@CPREX-main@bayesian.ipynb@.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@source@AmoebaFitter.py@.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@_xref.py@.PATH_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@__init__.py@.PATH_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@KPF-Pipeline-master@setup.py@.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__(
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@densitymap@legendgrouptitle@font@_lineposition.py@.PATH_END.py |
{
"filename": "test_orders.py",
"repo_name": "chandra-marx/marxs",
"repo_path": "marxs_extracted/marxs-main/marxs/missions/arcus/tests/test_orders.py",
"type": "Python"
} | # Licensed under GPL version 3 - see LICENSE.rst
import numpy as np
from marxs.source import PointSource, FixedPointing
import astropy.units as u
from astropy.coordinates import SkyCoord
from marxs.math.utils import xyz2zxy
from .. import Arcus
import pytest
e = 0.5 * u.keV
mysource = PointSource(coords=SkyCoord(30... | chandra-marxREPO_NAMEmarxsPATH_START.@marxs_extracted@marxs-main@marxs@missions@arcus@tests@test_orders.py@.PATH_END.py |
{
"filename": "kep51_posterior_vs_emcee.ipynb",
"repo_name": "kemasuda/jnkepler",
"repo_path": "jnkepler_extracted/jnkepler-main/examples/comparison_with_ttvfast+emcee/kep51_posterior_vs_emcee.ipynb",
"type": "Jupyter Notebook"
} | ```python
import numpy as np
import matplotlib.pyplot as plt
import dill
import corner
import pandas as pd
```
```python
import seaborn as sns
sns.set(style='ticks', font_scale=1.6, font='times')
plt.rcParams["figure.figsize"] = (12,6)
from matplotlib import rc
rc('text', usetex=True)
```
```python
#hmc = dill.loa... | kemasudaREPO_NAMEjnkeplerPATH_START.@jnkepler_extracted@jnkepler-main@examples@comparison_with_ttvfast+emcee@kep51_posterior_vs_emcee.ipynb@.PATH_END.py |
{
"filename": "_lineposition.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/parcats/tickfont/_lineposition.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LinepositionValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(
self, plotly_name="lineposition", parent_name="parcats.tickfont", **kwargs
):
super(LinepositionValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@parcats@tickfont@_lineposition.py@.PATH_END.py |
{
"filename": "_colorsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattermap/cluster/_colorsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="colorsrc", parent_name="scattermap.cluster", **kwargs
):
super(ColorsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_nam... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattermap@cluster@_colorsrc.py@.PATH_END.py |
{
"filename": "gasBinning.py",
"repo_name": "GBTAmmoniaSurvey/GAS",
"repo_path": "GAS_extracted/GAS-master/GAS/gasBinning.py",
"type": "Python"
} | import numpy as np
from GAS.gridregion import channelShift
import scipy.ndimage as nd
import astropy.units as u
from spectral_cube import SpectralCube
from GAS import voronoi_2d_binning as v2d
def BinByMask(DataCube, Mask = None, CentroidMap = None,
CentroidAggregator = np.nanmean, x = None, y = None):
... | GBTAmmoniaSurveyREPO_NAMEGASPATH_START.@GAS_extracted@GAS-master@GAS@gasBinning.py@.PATH_END.py |
{
"filename": "common.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/scipy/misc/common.py",
"type": "Python"
} | """
Functions which are common and require SciPy Base and Level 1 SciPy
(special, linalg)
"""
from __future__ import division, print_function, absolute_import
from numpy import arange, newaxis, hstack, product, array, fromstring
__all__ = ['central_diff_weights', 'derivative', 'ascent', 'face']
def central_diff_we... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@scipy@misc@common.py@.PATH_END.py |
{
"filename": "chat_template.py",
"repo_name": "OpenAccess-AI-Collective/axolotl",
"repo_path": "axolotl_extracted/axolotl-main/src/axolotl/prompt_strategies/chat_template.py",
"type": "Python"
} | """
HF Chat Templates prompt strategy
"""
import logging
from typing import Any, Dict, List, Optional
from transformers import ProcessorMixin
from axolotl.prompt_tokenizers import PromptTokenizingStrategy
from axolotl.prompters import IGNORE_TOKEN_ID, Prompter
from axolotl.utils.chat_templates import get_chat_templa... | OpenAccess-AI-CollectiveREPO_NAMEaxolotlPATH_START.@axolotl_extracted@axolotl-main@src@axolotl@prompt_strategies@chat_template.py@.PATH_END.py |
{
"filename": "loss.py",
"repo_name": "Herculens/herculens",
"repo_path": "herculens_extracted/herculens-main/herculens/Inference/legacy/loss.py",
"type": "Python"
} | # Defines the full loss function, from likelihood, prior and regularization terms
#
# Copyright (c) 2021, herculens developers and contributors
__author__ = 'aymgal', 'austinpeel'
import numpy as np
import jax.numpy as jnp
from jax import jit
from herculens.Inference.legacy.base_differentiable import Differentiabl... | HerculensREPO_NAMEherculensPATH_START.@herculens_extracted@herculens-main@herculens@Inference@legacy@loss.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/statsmodels/tsa/arima/tests/__init__.py",
"type": "Python"
} | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@statsmodels@tsa@arima@tests@__init__.py@.PATH_END.py | |
{
"filename": "_minor.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/yaxis/_minor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MinorValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="minor", parent_name="layout.yaxis", **kwargs):
super(MinorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@yaxis@_minor.py@.PATH_END.py |
{
"filename": "anis_coefficients.py",
"repo_name": "nanograv/enterprise",
"repo_path": "enterprise_extracted/enterprise-master/enterprise/signals/anis_coefficients.py",
"type": "Python"
} | # anis_coefficients.py
import healpy as hp
import numpy as np
import scipy.special as ss
"""
Script to compute the correlation basis-functions for various anisotropic
configurations of the GW background energy-density
-- Rutger van Haasteren (June 2014)
-- Stephen Taylor (modifications, February 2016)
"""
def re... | nanogravREPO_NAMEenterprisePATH_START.@enterprise_extracted@enterprise-master@enterprise@signals@anis_coefficients.py@.PATH_END.py |
{
"filename": "draw_contri_CO2.py",
"repo_name": "fjdu/rac-2d",
"repo_path": "rac-2d_extracted/rac-2d-master/utils_python/draw/draw_contri_CO2.py",
"type": "Python"
} | from matplotlib import *
use('Agg')
from matplotlib.pyplot import *
from numpy import *
from os.path import join as opj
from glob import glob
from parse_ana import *
from long_function_definitions import *
from my_script import *
import drawing
mycm = make_my_colormap(c_list=[(0.0, (0.5, 0.0, 0.5)),
... | fjduREPO_NAMErac-2dPATH_START.@rac-2d_extracted@rac-2d-master@utils_python@draw@draw_contri_CO2.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "djones1040/PythonPhot",
"repo_path": "PythonPhot_extracted/PythonPhot-master/README.md",
"type": "Markdown"
} | PythonPhot PSF Fitting Photometry Tutorial
=========
getpsf.py : Generates a point-spread function (PSF) from observed stars at
specified locations. Uses the family of "peak fit" modules
(pkfit, pkfit_noise, pkfit_norecent, etc) to fit a gaussian to each
star and define an array of non-gaussian psf residu... | djones1040REPO_NAMEPythonPhotPATH_START.@PythonPhot_extracted@PythonPhot-master@README.md@.PATH_END.py |
{
"filename": "GoodnessOfFitSingleResult.py",
"repo_name": "freelunchtheorem/Conditional_Density_Estimation",
"repo_path": "Conditional_Density_Estimation_extracted/Conditional_Density_Estimation-master/cde/model_fitting/GoodnessOfFitSingleResult.py",
"type": "Python"
} | from collections import OrderedDict
import types
class GoodnessOfFitSingleResult:
def __init__(self, estimator_params, probabilistic_model_params, x_cond=None):
self.cond_values = x_cond
self.time_to_fit = None
self.time_to_predict = None
self.ndim_x = estimator_params["ndim_x"]
self.ndim_y = e... | freelunchtheoremREPO_NAMEConditional_Density_EstimationPATH_START.@Conditional_Density_Estimation_extracted@Conditional_Density_Estimation-master@cde@model_fitting@GoodnessOfFitSingleResult.py@.PATH_END.py |
{
"filename": "_xhoverformat.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatter3d/_xhoverformat.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XhoverformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="xhoverformat", parent_name="scatter3d", **kwargs):
super(XhoverformatValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatter3d@_xhoverformat.py@.PATH_END.py |
{
"filename": "_nticks.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/parcoords/line/colorbar/_nticks.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="nticks", parent_name="parcoords.line.colorbar", **kwargs
):
super(NticksValidator, self).__init__(
plotly_name=plotly_name,
parent_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@parcoords@line@colorbar@_nticks.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/astropy/extern/__init__.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
This packages contains python packages that are bundled with Astropy but are
external to Astropy, and hence are developed in a separate source tree. Note
that this package is distinct from the /cextern directory of the source code
distribution, as tha... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@astropy@extern@__init__.py@.PATH_END.py |
{
"filename": "_steps.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/slider/_steps.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StepsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
def __init__(self, plotly_name="steps", parent_name="layout.slider", **kwargs):
super(StepsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@slider@_steps.py@.PATH_END.py |
{
"filename": "types.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/third_party/xla/xla/mlir_hlo/tests/python/types.py",
"type": "Python"
} | # Copyright 2021 The OpenXLA 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 ... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@third_party@xla@xla@mlir_hlo@tests@python@types.py@.PATH_END.py |
{
"filename": "E12_not_first.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/parso/py3/tests/normalizer_issue_files/E12_not_first.py",
"type": "Python"
} | # The issue numbers described in this file are part of the pycodestyle tracker
# and not of parso.
# Originally there were no issues in here, I (dave) added the ones that were
# necessary and IMO useful.
if (
x == (
3
) or
y == 4):
pass
y = x == 2 \
or x == 3
#: E129+1:4
if... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@parso@py3@tests@normalizer_issue_files@E12_not_first.py@.PATH_END.py |
{
"filename": "asciiheader.py",
"repo_name": "spacetelescope/stsdas_stripped",
"repo_path": "stsdas_stripped_extracted/stsdas_stripped-master/stsdas/pkg/analysis/slitless/axe/axe_asciidata/asciiheader.py",
"type": "Python"
} | """
Various header classes to be part of the asciidata class
@author: Martin Kuemmel, Jonas Haase
@organization: Space Telescope - European Coordinating Facility (ST-ECF)
@license: Gnu Public Licence
@contact: mkuemmel@eso.org
@since: 2005/09/13
$LastChangedBy: mkuemmel $
$LastChangedDate: 2008-07-03 10:27:47 +0200 (... | spacetelescopeREPO_NAMEstsdas_strippedPATH_START.@stsdas_stripped_extracted@stsdas_stripped-master@stsdas@pkg@analysis@slitless@axe@axe_asciidata@asciiheader.py@.PATH_END.py |
{
"filename": "benchmarks.py",
"repo_name": "tardis-sn/tardis",
"repo_path": "tardis_extracted/tardis-main/asv/benchmarks/benchmarks.py",
"type": "Python"
} | # Write the benchmarking functions here.
# See "Writing benchmarks" in the asv docs for more information.
import numpy as np
from tardis.tests import montecarlo_test_wrappers as montecarlo
LINE_SIZE = 10000000
class TimeSuite:
"""
An example benchmark that times the performance of various kinds
of itera... | tardis-snREPO_NAMEtardisPATH_START.@tardis_extracted@tardis-main@asv@benchmarks@benchmarks.py@.PATH_END.py |
{
"filename": "renderer.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/contourpy/contourpy/util/renderer.py",
"type": "Python"
} | from __future__ import annotations
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Any
import numpy as np
if TYPE_CHECKING:
import io
from numpy.typing import ArrayLike
from contourpy._contourpy import CoordinateArray, FillReturn, FillType, LineReturn, LineType
class Renderer(AB... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@contourpy@contourpy@util@renderer.py@.PATH_END.py |
{
"filename": "pk_desi_mock_challenge_handshake.py",
"repo_name": "Samreay/Barry",
"repo_path": "Barry_extracted/Barry-master/config/desi_mock_challenge/pk_desi_mock_challenge_handshake.py",
"type": "Python"
} | import sys
import os
import pandas as pd
from scipy.interpolate import interp1d
from scipy.stats import norm
import numpy as np
sys.path.append("..")
from barry.datasets.dataset_power_spectrum import PowerSpectrum_DESIMockChallenge_Handshake
from barry.cosmology.camb_generator import getCambGenerator
from barry.confi... | SamreayREPO_NAMEBarryPATH_START.@Barry_extracted@Barry-master@config@desi_mock_challenge@pk_desi_mock_challenge_handshake.py@.PATH_END.py |
{
"filename": "ac_calc_ind.py",
"repo_name": "gomesdasilva/ACTIN",
"repo_path": "ACTIN_extracted/ACTIN-master/actin/actin_files/ac_calc_ind.py",
"type": "Python"
} | #!/usr/bin/env python
# compatibility with python 2/3:
from __future__ import print_function
from __future__ import division
import os, sys ### test
import numpy as np
# ACTIN FILES
import ac_settings as ac_set
import ac_get_win
def check_lines(wave, sel_lines, verb=False):
"""
Tests if the selected lines ... | gomesdasilvaREPO_NAMEACTINPATH_START.@ACTIN_extracted@ACTIN-master@actin@actin_files@ac_calc_ind.py@.PATH_END.py |
{
"filename": "Main.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/tools/cython/Cython/Compiler/Main.py",
"type": "Python"
} | #
# Cython Top Level
#
from __future__ import absolute_import
import os
import re
import sys
import io
if sys.version_info[:2] < (2, 6) or (3, 0) <= sys.version_info[:2] < (3, 3):
sys.stderr.write("Sorry, Cython requires Python 2.6+ or 3.3+, found %d.%d\n" % tuple(sys.version_info[:2]))
sys.exit(1)
try:
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@tools@cython@Cython@Compiler@Main.py@.PATH_END.py |
{
"filename": "base.py",
"repo_name": "mj-will/nessai",
"repo_path": "nessai_extracted/nessai-main/src/nessai/reparameterisations/base.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Base reparameterisation
"""
import logging
import numpy as np
logger = logging.getLogger(__name__)
class Reparameterisation:
"""
Base object for reparameterisations.
Parameters
----------
parameters : str or list
Name of parameters to reparameterise.
pri... | mj-willREPO_NAMEnessaiPATH_START.@nessai_extracted@nessai-main@src@nessai@reparameterisations@base.py@.PATH_END.py |
{
"filename": "test_Galactic.py",
"repo_name": "nanograv/PINT",
"repo_path": "PINT_extracted/PINT-master/tests/test_Galactic.py",
"type": "Python"
} | import logging
import os
import pytest
import astropy.units as u
import pint.models.model_builder as mb
from pinttestdata import datadir
from pint import utils
import astropy.coordinates
import astropy.time
class TestGalactic:
"""Test conversion from equatorial/ecliptic -> Galactic coordinates as astropy objec... | nanogravREPO_NAMEPINTPATH_START.@PINT_extracted@PINT-master@tests@test_Galactic.py@.PATH_END.py |
{
"filename": "chunked_dataset.py",
"repo_name": "ML4GW/ml4gw",
"repo_path": "ml4gw_extracted/ml4gw-main/ml4gw/dataloading/chunked_dataset.py",
"type": "Python"
} | from collections.abc import Iterable
import torch
from ml4gw.types import WaveformTensor
class ChunkedTimeSeriesDataset(torch.utils.data.IterableDataset):
"""
Wrapper dataset that will loop through chunks of timeseries
data produced by another iterable and sample windows from
these chunks.
Args... | ML4GWREPO_NAMEml4gwPATH_START.@ml4gw_extracted@ml4gw-main@ml4gw@dataloading@chunked_dataset.py@.PATH_END.py |
{
"filename": "LRS2_reduction_README.md",
"repo_name": "BrianaLane/LRS2_reduction",
"repo_path": "LRS2_reduction_extracted/LRS2_reduction-master/LRS2_reduction_README.md",
"type": "Markdown"
} | ==================================
# Instructions for LRS2 Reduction
==================================
- This file contains instructions for running CURE based reductions for LRS2 using the python script reduction_wrapper_lrs2.py
- For more information about CURE refer to the the CURE page on the HETDEX wiki:
http... | BrianaLaneREPO_NAMELRS2_reductionPATH_START.@LRS2_reduction_extracted@LRS2_reduction-master@LRS2_reduction_README.md@.PATH_END.py |
{
"filename": "_openpyxl.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/io/excel/_openpyxl.py",
"type": "Python"
} | from __future__ import annotations
import mmap
from typing import (
TYPE_CHECKING,
Any,
cast,
)
import numpy as np
from pandas.compat._optional import import_optional_dependency
from pandas.util._decorators import doc
from pandas.core.shared_docs import _shared_docs
from pandas.io.excel._base import (
... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@io@excel@_openpyxl.py@.PATH_END.py |
{
"filename": "plot_IT1.py",
"repo_name": "galtay/sphray",
"repo_path": "sphray_extracted/sphray-master/analysis/plot_IT1.py",
"type": "Python"
} | import sphray_io
import numpy as np
import matplotlib.pyplot as plt
#====================================================================
# define input parameters
#====================================================================
snapdir = "../../sphray_output/IT1_N64/r6"
snapbase = "snap"
snapnum = 1
snapnumst... | galtayREPO_NAMEsphrayPATH_START.@sphray_extracted@sphray-master@analysis@plot_IT1.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "lsst/rubin_sim",
"repo_path": "rubin_sim_extracted/rubin_sim-main/rubin_sim/maf/stackers/__init__.py",
"type": "Python"
} | from .base_stacker import *
from .coord_stackers import *
from .date_stackers import *
from .general_stackers import *
from .get_col_info import *
from .label_stackers import *
from .m5_optimal_stacker import *
from .mo_stackers import *
from .n_follow_stacker import *
from .neo_dist_stacker import *
from .sdss_stacker... | lsstREPO_NAMErubin_simPATH_START.@rubin_sim_extracted@rubin_sim-main@rubin_sim@maf@stackers@__init__.py@.PATH_END.py |
{
"filename": "_legendgrouptitle.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatter/_legendgrouptitle.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LegendgrouptitleValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="legendgrouptitle", parent_name="scatter", **kwargs):
super(LegendgrouptitleValidator, self).__init__(
plotly_name=plotly_name,
parent... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatter@_legendgrouptitle.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "lmytime/MyFilter",
"repo_path": "MyFilter_extracted/MyFilter-main/README.md",
"type": "Markdown"
} | # MyFilter
[](https://doi.org/10.5281/zenodo.10210201)
MyFilter is a web app that provides interactive visualization of astronomical filters' transmission curves.
## Demo
A live demo of the app can be viewed here:
https://preview.lmytime.com/myfilter
J... | lmytimeREPO_NAMEMyFilterPATH_START.@MyFilter_extracted@MyFilter-main@README.md@.PATH_END.py |
{
"filename": "delete_jobs.py",
"repo_name": "CobayaSampler/cobaya",
"repo_path": "cobaya_extracted/cobaya-master/cobaya/grid_tools/delete_jobs.py",
"type": "Python"
} | import subprocess
import shutil
from . import batchjob_args, jobqueue
def delete_jobs(args=None):
opts = batchjob_args.BatchArgs('Delete running or queued jobs', importance=True,
batchPathOptional=True)
group = opts.parser.add_mutually_exclusive_group()
group.add_argume... | CobayaSamplerREPO_NAMEcobayaPATH_START.@cobaya_extracted@cobaya-master@cobaya@grid_tools@delete_jobs.py@.PATH_END.py |
{
"filename": "_hovertemplatesrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/box/_hovertemplatesrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HovertemplatesrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="hovertemplatesrc", parent_name="box", **kwargs):
super(HovertemplatesrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=par... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@box@_hovertemplatesrc.py@.PATH_END.py |
{
"filename": "load.py",
"repo_name": "silkemaes/MACE",
"repo_path": "MACE_extracted/MACE-main/src/mace/load.py",
"type": "Python"
} | '''
This script loads a trained MACE model
and provides the user with the possibility to apply (test) the model on a test dataset.
The class Trained_MACE() contains the loaded model,
together with the training and test losses, and the meta data.
'''
import src.mace.utils as utils
import src.mace.loss ... | silkemaesREPO_NAMEMACEPATH_START.@MACE_extracted@MACE-main@src@mace@load.py@.PATH_END.py |
{
"filename": "_yhoverformat.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/mesh3d/_yhoverformat.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class YhoverformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="yhoverformat", parent_name="mesh3d", **kwargs):
super(YhoverformatValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_na... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@mesh3d@_yhoverformat.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/scatter3d/marker/_line.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="line", parent_name="scatter3d.marker", **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@scatter3d@marker@_line.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "CobayaSampler/cobaya",
"repo_path": "cobaya_extracted/cobaya-master/cobaya/likelihoods/planck_2015_plikHM_TT/__init__.py",
"type": "Python"
} | from cobaya.likelihoods.base_classes import Planck2015Clik
class planck_2015_plikHM_TT(Planck2015Clik):
r"""
High-$\ell$ temperature-only likelihood (binned) of Planck's 2015 data release
\cite{Aghanim:2015xee}.
"""
pass
| CobayaSamplerREPO_NAMEcobayaPATH_START.@cobaya_extracted@cobaya-master@cobaya@likelihoods@planck_2015_plikHM_TT@__init__.py@.PATH_END.py |
{
"filename": "bbox_transform.py",
"repo_name": "chenwuperth/rgz_rcnn",
"repo_path": "rgz_rcnn_extracted/rgz_rcnn-master/lib/fast_rcnn/bbox_transform.py",
"type": "Python"
} | # --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
#
# Modified by Chen Wu (chen.wu@icrar.org)
# --------------------------------------------------------
import numpy as np
def bbo... | chenwuperthREPO_NAMErgz_rcnnPATH_START.@rgz_rcnn_extracted@rgz_rcnn-master@lib@fast_rcnn@bbox_transform.py@.PATH_END.py |
{
"filename": "parameters_validator.py",
"repo_name": "Kamuish/archi",
"repo_path": "archi_extracted/archi-master/pyarchi/utils/misc/parameters_validator.py",
"type": "Python"
} | import os
def parameters_validator(**kwargs):
"""
Loads the configuration parameters from the .yaml file. After loading,
it checks some of the parameters to see if they have valid values.
Parameters
----------
parameters
Returns
-------
"""
wrong_params = []
warnings = ... | KamuishREPO_NAMEarchiPATH_START.@archi_extracted@archi-master@pyarchi@utils@misc@parameters_validator.py@.PATH_END.py |
{
"filename": "_templateitemname.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/indicator/gauge/axis/tickformatstop/_templateitemname.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="templateitemname",
parent_name="indicator.gauge.axis.tickformatstop",
**kwargs,
):
super(TemplateitemnameValidator, self).... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@indicator@gauge@axis@tickformatstop@_templateitemname.py@.PATH_END.py |
{
"filename": "paths.py",
"repo_name": "ChrisBoettner/plato",
"repo_path": "plato_extracted/plato-main/plato/utils/paths.py",
"type": "Python"
} | import os
def get_abspath() -> str:
"""
Get the absolute path of the plato (main) directory.
Returns
-------
str
Absolute path of the plato (main) directory.
"""
return (
os.path.abspath(__file__)[: os.path.abspath(__file__).find("plato")] + "plato/"
)
| ChrisBoettnerREPO_NAMEplatoPATH_START.@plato_extracted@plato-main@plato@utils@paths.py@.PATH_END.py |
{
"filename": "CPU.py",
"repo_name": "classULDM/class.VFDM",
"repo_path": "class.VFDM_extracted/class.VFDM-master/CPU.py",
"type": "Python"
} | #!/usr/bin/env python
"""
.. module:: CPU
:synopsis: CPU, a CLASS Plotting Utility
.. moduleauthor:: Benjamin Audren <benjamin.audren@gmail.com>
.. credits:: Benjamin Audren, Jesus Torrado
.. version:: 2.0
This is a small python program aimed to gain time when comparing two spectra,
e.g. from CAMB and CLASS, or a ... | classULDMREPO_NAMEclass.VFDMPATH_START.@class.VFDM_extracted@class.VFDM-master@CPU.py@.PATH_END.py |
{
"filename": "3_spectra_workbook_nrs2.ipynb",
"repo_name": "Exo-TiC/ExoTiC-JEDI",
"repo_path": "ExoTiC-JEDI_extracted/ExoTiC-JEDI-master/notebooks/padawan/3_spectra_workbook_nrs2.ipynb",
"type": "Jupyter Notebook"
} | # NIRSpec G395H Pipeline Workbook
## ERS WASP 39b NRS2
```python
# %matplotlib nbagg
```
```python
workbook = 'insert tag for plots'
```
```python
import numpy as np
import matplotlib.pyplot as plt
import glob
from astropy.io import fits
import pickle
import exotic_jedi as jedi
```
```python
# Setting some rc ... | Exo-TiCREPO_NAMEExoTiC-JEDIPATH_START.@ExoTiC-JEDI_extracted@ExoTiC-JEDI-master@notebooks@padawan@3_spectra_workbook_nrs2.ipynb@.PATH_END.py |
{
"filename": "_least_angle.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/sklearn/linear_model/_least_angle.py",
"type": "Python"
} | """
Least Angle Regression algorithm. See the documentation on the
Generalized Linear Model for a complete discussion.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import sys
import warnings
from math import log
from numbers import Integral, Real
import numpy as np
from scipy im... | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@sklearn@linear_model@_least_angle.py@.PATH_END.py |
{
"filename": "linsolve.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/sparse/linalg/_dsolve/linsolve.py",
"type": "Python"
} | from warnings import warn, catch_warnings, simplefilter
import numpy as np
from numpy import asarray
from scipy.sparse import (issparse, SparseEfficiencyWarning,
csr_array, csc_array, eye_array, diags_array)
from scipy.sparse._sputils import (is_pydata_spmatrix, convert_pydata_sparse_to_scipy... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@sparse@linalg@_dsolve@linsolve.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "xinglunju/pyAmor",
"repo_path": "pyAmor_extracted/pyAmor-master/README.md",
"type": "Markdown"
} | Python scripts to derive physical properties (linewidth, temperature, column density, etc.) using Ammonia hyperfine lines.
There are three version for now:
nh3_trot_v0.2_singlev.py - To go through a datacube and derive maps, assuming there is only one velocity.
pyamor_v0.4.py - To go through a datacube too, but... | xinglunjuREPO_NAMEpyAmorPATH_START.@pyAmor_extracted@pyAmor-master@README.md@.PATH_END.py |
{
"filename": "allTimesRead.py",
"repo_name": "wmpg/Supracenter",
"repo_path": "Supracenter_extracted/Supracenter-master/supra/Fireballs/allTimesRead.py",
"type": "Python"
} | import numpy as np
import matplotlib.pyplot as plt
import argparse
import os
from supra.Fireballs.Program import configRead, configParse, position, station
def readAllTimes(file_name, dists_name=[], typ=4, stn_list=[]):
#typ = 4 [perturbation, station, 0 - ballistic/ 1 - fragmentation, frag number (0 for ballist... | wmpgREPO_NAMESupracenterPATH_START.@Supracenter_extracted@Supracenter-master@supra@Fireballs@allTimesRead.py@.PATH_END.py |
{
"filename": "_hoverlabel.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/sankey/_hoverlabel.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Hoverlabel(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "sankey"
_path_str = "sankey.hoverlabel"
_valid_props = {
"align",
"align... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@sankey@_hoverlabel.py@.PATH_END.py |
{
"filename": "tools.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/cli/langchain_cli/integration_template/integration_template/tools.py",
"type": "Python"
} | """__ModuleName__ tools."""
from typing import Optional, Type
from langchain_core.callbacks import (
CallbackManagerForToolRun,
)
from langchain_core.tools import BaseTool
from pydantic import BaseModel, Field
class __ModuleName__ToolInput(BaseModel):
"""Input schema for __ModuleName__ tool.
This docst... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@cli@langchain_cli@integration_template@integration_template@tools.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "astrolabsoftware/fink-science",
"repo_path": "fink-science_extracted/fink-science-master/fink_science/ssoft/__init__.py",
"type": "Python"
} | astrolabsoftwareREPO_NAMEfink-sciencePATH_START.@fink-science_extracted@fink-science-master@fink_science@ssoft@__init__.py@.PATH_END.py | |
{
"filename": "_tickvals.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/histogram/marker/colorbar/_tickvals.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self, plotly_name="tickvals", parent_name="histogram.marker.colorbar", **kwargs
):
super(TickvalsValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@histogram@marker@colorbar@_tickvals.py@.PATH_END.py |
{
"filename": "corner_ratios.py",
"repo_name": "eXtremeGravityInstitute/QuickCBC",
"repo_path": "QuickCBC_extracted/QuickCBC-main/corner_ratios.py",
"type": "Python"
} | import argparse
import glob
import matplotlib
matplotlib.use('Agg')
import corner
import numpy as np
data = np.loadtxt("ratios.dat", usecols=(0, 1, 2))
figure = corner.corner(data, labels=[r'$\log_{10}(H/L)$', r'$\log_{10}(H/V)$', r'$\log_{10}(L/V)$'], bins=40, title_kwargs={"fontsize": 12}, label_kwargs={"fontsize":... | eXtremeGravityInstituteREPO_NAMEQuickCBCPATH_START.@QuickCBC_extracted@QuickCBC-main@corner_ratios.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/histogram/stream/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._token import TokenValidator
from ._maxpoints import MaxpointsValidator
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@validators@histogram@stream@__init__.py@.PATH_END.py |
{
"filename": "search.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/tools/gmail/search.py",
"type": "Python"
} | import base64
import email
from enum import Enum
from typing import Any, Dict, List, Optional, Type
from langchain_core.callbacks import CallbackManagerForToolRun
from pydantic import BaseModel, Field
from langchain_community.tools.gmail.base import GmailBaseTool
from langchain_community.tools.gmail.utils import clea... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@tools@gmail@search.py@.PATH_END.py |
{
"filename": "LifeCycleTest.py",
"repo_name": "ACS-Community/ACS",
"repo_path": "ACS_extracted/ACS-master/LGPL/CommonSoftware/containerTests/lifecycleTest/src/lifecycleTestImpl/LifeCycleTest.py",
"type": "Python"
} | #! /usr/bin/env python
#*******************************************************************************
# ALMA - Atacama Large Millimiter Array
# Copyright (c) European Southern Observatory, 2011
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Pu... | ACS-CommunityREPO_NAMEACSPATH_START.@ACS_extracted@ACS-master@LGPL@CommonSoftware@containerTests@lifecycleTest@src@lifecycleTestImpl@LifeCycleTest.py@.PATH_END.py |
{
"filename": "ttx.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/fonttools/fontTools/ttx.py",
"type": "Python"
} | """\
usage: ttx [options] inputfile1 [... inputfileN]
TTX -- From OpenType To XML And Back
If an input file is a TrueType or OpenType font file, it will be
decompiled to a TTX file (an XML-based text format).
If an input file is a TTX file, it will be compiled to whatever
format the data is in, a TrueType or OpenType... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@fonttools@fontTools@ttx.py@.PATH_END.py |
{
"filename": "dust.py",
"repo_name": "ArisTr/PyRaTE",
"repo_path": "PyRaTE_extracted/PyRaTE-master/PyRaTE/dust.py",
"type": "Python"
} | #-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=#
# NAME: #
# #
# dust.py #
# ... | ArisTrREPO_NAMEPyRaTEPATH_START.@PyRaTE_extracted@PyRaTE-master@PyRaTE@dust.py@.PATH_END.py |
{
"filename": "_style.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatterternary/legendgrouptitle/font/_style.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StyleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="style",
parent_name="scatterternary.legendgrouptitle.font",
**kwargs,
):
super(StyleValidator, self).__init__(
plotly... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatterternary@legendgrouptitle@font@_style.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "NickMilsonPhysics/BinaryStarSolver",
"repo_path": "BinaryStarSolver_extracted/BinaryStarSolver-master/binarystarsolve/__init__.py",
"type": "Python"
} | NickMilsonPhysicsREPO_NAMEBinaryStarSolverPATH_START.@BinaryStarSolver_extracted@BinaryStarSolver-master@binarystarsolve@__init__.py@.PATH_END.py | |
{
"filename": "cu2quPen.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/fonttools/fontTools/pens/cu2quPen.py",
"type": "Python"
} | # Copyright 2016 Google Inc. 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 applicable law or a... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@fonttools@fontTools@pens@cu2quPen.py@.PATH_END.py |
{
"filename": "version.py",
"repo_name": "barentsen/k2flix",
"repo_path": "k2flix_extracted/k2flix-master/k2flix/version.py",
"type": "Python"
} | # It is important to store the version number in a separate file
# so that we can read it from setup.py without importing the package
__version__ = "2.4.0"
| barentsenREPO_NAMEk2flixPATH_START.@k2flix_extracted@k2flix-master@k2flix@version.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "dsavransky/EXOSIMS",
"repo_path": "EXOSIMS_extracted/EXOSIMS-master/documentation/conf.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
#
# EXOSIMS documentation build configuration file, created by
# sphinx-quickstart on Wed Jul 15 13:16:49 2015.
#
# 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.
#
# A... | dsavranskyREPO_NAMEEXOSIMSPATH_START.@EXOSIMS_extracted@EXOSIMS-master@documentation@conf.py@.PATH_END.py |
{
"filename": "Parameter.py",
"repo_name": "ThomasEdwardRiley/xpsi-pre-transfer",
"repo_path": "xpsi-pre-transfer_extracted/xpsi-pre-transfer-master/xpsi/Parameter.py",
"type": "Python"
} | from __future__ import division, print_function
from .global_imports import *
from . import global_imports
from . import make_verbose
import string
from types import MethodType
from abc import ABCMeta, abstractmethod
class StrictBoundsError(xpsiError):
""" Raised if the set parameter value lies beyond strict b... | ThomasEdwardRileyREPO_NAMExpsi-pre-transferPATH_START.@xpsi-pre-transfer_extracted@xpsi-pre-transfer-master@xpsi@Parameter.py@.PATH_END.py |
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