metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "evidence.py",
"repo_name": "mj-will/nessai",
"repo_path": "nessai_extracted/nessai-main/src/nessai/evidence.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Functions related to computing the evidence.
"""
import logging
from abc import ABC, abstractmethod
from typing import Optional
import matplotlib.pyplot as plt
import numpy as np
from scipy.special import logsumexp
from .plot import nessai_style
logger = logging.getLogger(__name__)
def... | mj-willREPO_NAMEnessaiPATH_START.@nessai_extracted@nessai-main@src@nessai@evidence.py@.PATH_END.py |
{
"filename": "noise_simulations.py",
"repo_name": "astro-informatics/DarkMappy",
"repo_path": "DarkMappy_extracted/DarkMappy-main/darkmappy/noise_simulations.py",
"type": "Python"
} | import numpy as np
import pyssht as ssht
import darkmappy.forward_models as fm
def simulate_shear_plane(
x, sidelength, ngal=30, sigma_e=0.37, mask=None, supersample=1
):
"""Creates a realistic simulation of shear observations
from input convergence.
Args:
x (np.ndarray): Input convergen... | astro-informaticsREPO_NAMEDarkMappyPATH_START.@DarkMappy_extracted@DarkMappy-main@darkmappy@noise_simulations.py@.PATH_END.py |
{
"filename": "test_prompt_tokenizers.py",
"repo_name": "OpenAccess-AI-Collective/axolotl",
"repo_path": "axolotl_extracted/axolotl-main/tests/test_prompt_tokenizers.py",
"type": "Python"
} | """Module for testing prompt tokenizers."""
import json
import logging
import unittest
from pathlib import Path
from typing import Optional
import pytest
from datasets import load_dataset
from transformers import AddedToken, AutoTokenizer, LlamaTokenizer
from axolotl.prompt_strategies.alpaca_chat import NoSystemProm... | OpenAccess-AI-CollectiveREPO_NAMEaxolotlPATH_START.@axolotl_extracted@axolotl-main@tests@test_prompt_tokenizers.py@.PATH_END.py |
{
"filename": "fullstingray.py",
"repo_name": "vhaasteren/piccard",
"repo_path": "piccard_extracted/piccard-master/piccard/fullstingray.py",
"type": "Python"
} | #!/usr/bin/env python
# encoding: utf-8
# vim: tabstop=4:softtabstop=4:shiftwidth=4:expandtab
from __future__ import division, print_function
import numpy as np
import math
import scipy.linalg as sl, scipy.special as ss
from transformations import *
from choleskyext import *
from choleskyext_omp import *
# This fil... | vhaasterenREPO_NAMEpiccardPATH_START.@piccard_extracted@piccard-master@piccard@fullstingray.py@.PATH_END.py |
{
"filename": "learning_rate_schedule.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/keras/optimizer_v2/learning_rate_schedule.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@keras@optimizer_v2@learning_rate_schedule.py@.PATH_END.py |
{
"filename": "transmission_grad_test.py",
"repo_name": "HajimeKawahara/exojax",
"repo_path": "exojax_extracted/exojax-master/tests/integration/unittests_long/transmission/transmission_grad_test.py",
"type": "Python"
} | """This example checks if the derivative of transmission spectrum is valid (not nan), see #464.
"""
import jax
from jax import config
import pandas as pd
import numpy as np
import jax.numpy as jnp
from exojax.utils.grids import wavenumber_grid
from exojax.spec.opacalc import OpaPremodit
from exojax.spec.atmrt import... | HajimeKawaharaREPO_NAMEexojaxPATH_START.@exojax_extracted@exojax-master@tests@integration@unittests_long@transmission@transmission_grad_test.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatter/hoverlabel/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._namelengthsrc import NamelengthsrcValidator
from ._namelength import NamelengthValidator
from ._font import FontValidator
from ._bordercolorsrc import BordercolorsrcValidator
from ._bordercolor import BordercolorValidator
from ._bgcolorsrc import ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatter@hoverlabel@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "ShaunFell/GRBoondi",
"repo_path": "GRBoondi_extracted/GRBoondi-main/PostProcessing/Source/OneD/__init__.py",
"type": "Python"
} | from .LinePlot import *
| ShaunFellREPO_NAMEGRBoondiPATH_START.@GRBoondi_extracted@GRBoondi-main@PostProcessing@Source@OneD@__init__.py@.PATH_END.py |
{
"filename": "observationmode.py",
"repo_name": "spacetelescope/stsynphot_refactor",
"repo_path": "stsynphot_refactor_extracted/stsynphot_refactor-master/stsynphot/observationmode.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""Module to handle observations based on observation modes."""
# STDLIB
import re
import warnings
# THIRD-PARTY
import numpy as np
# ASTROPY
from astropy import log
from astropy import units as u
from astropy.utils.decorators import lazyproperty
from a... | spacetelescopeREPO_NAMEstsynphot_refactorPATH_START.@stsynphot_refactor_extracted@stsynphot_refactor-master@stsynphot@observationmode.py@.PATH_END.py |
{
"filename": "prompt_node.py",
"repo_name": "simonsobs/nextline-rdb",
"repo_path": "nextline-rdb_extracted/nextline-rdb-main/src/nextline_rdb/schema/nodes/prompt_node.py",
"type": "Python"
} | import datetime
from typing import TYPE_CHECKING, Annotated, Optional
import strawberry
from nextline_rdb import models as db_models
if TYPE_CHECKING:
from .run_node import RunNode
from .trace_call_node import TraceCallNode
from .trace_node import TraceNode
@strawberry.type
class PromptNode:
_model... | simonsobsREPO_NAMEnextline-rdbPATH_START.@nextline-rdb_extracted@nextline-rdb-main@src@nextline_rdb@schema@nodes@prompt_node.py@.PATH_END.py |
{
"filename": "README_install.md",
"repo_name": "3fon3fonov/exostriker",
"repo_path": "exostriker_extracted/exostriker-main/README_install.md",
"type": "Markdown"
} | ## Instalation
There are many options to run Exo-Striker. One may try an Anaconda environment, install it from pip, or run directly the source code from the repository.
All the methods listed below work in Linux, Windows, or MacOS if you have python and gfortran installed.
### Getting the pip version
You can easil... | 3fon3fonovREPO_NAMEexostrikerPATH_START.@exostriker_extracted@exostriker-main@README_install.md@.PATH_END.py |
{
"filename": "distances.py",
"repo_name": "miguelzuma/hi_class_public",
"repo_path": "hi_class_public_extracted/hi_class_public-master/scripts/distances.py",
"type": "Python"
} |
# coding: utf-8
# In[ ]:
# import necessary modules
# uncomment to get plots displayed in notebook
#%matplotlib inline
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
from classy import Class
# In[ ]:
font = {'size' : 20, 'family':'STIXGeneral'}
axislabelfontsize='large'
matplotlib.rc('font... | miguelzumaREPO_NAMEhi_class_publicPATH_START.@hi_class_public_extracted@hi_class_public-master@scripts@distances.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "JamesKirk11/Tiberius",
"repo_path": "Tiberius_extracted/Tiberius-main/README.md",
"type": "Markdown"
} | # Tiberius
The Tiberius pipeline to extract time-series spectra and fit exoplanet transit light curves.
There is a [readthedocs](https://tiberius.readthedocs.io/en/latest/) in development.
In the meantime, please checkout the READMEs under reduction_utils (to extract stellar spectra) and fitting_utils (to fit transit... | JamesKirk11REPO_NAMETiberiusPATH_START.@Tiberius_extracted@Tiberius-main@README.md@.PATH_END.py |
{
"filename": "mdi_pychecker.py",
"repo_name": "mhammond/pywin32",
"repo_path": "pywin32_extracted/pywin32-main/Pythonwin/pywin/framework/mdi_pychecker.py",
"type": "Python"
} | ######################################################################
##
## The Pychecker MDI Plug-In UserModule for Pythonwin
##
## contributed by Robert Kiendl
##
## Style is similar to (and inherited) from the SGrepMDI UserModule
##
## Usage:
##
## Start Pychecker on current file: Menu/File/New../Pychecker.
## Use ... | mhammondREPO_NAMEpywin32PATH_START.@pywin32_extracted@pywin32-main@Pythonwin@pywin@framework@mdi_pychecker.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "dgerosa/surrkick",
"repo_path": "surrkick_extracted/surrkick-master/README.md",
"type": "Markdown"
} | # surrkick
#### Black-hole kicks from numerical-relativity surrogate models
Binary black holes radiate linear momentum in gravitational waves as they merge. Recoils imparted to the black-hole remnant can reach thousands of km/s, thus ejecting black holes from their host galaxies. We exploit recent advances in gravita... | dgerosaREPO_NAMEsurrkickPATH_START.@surrkick_extracted@surrkick-master@README.md@.PATH_END.py |
{
"filename": "mcmcTemplatePriors.py",
"repo_name": "ixkael/Delight",
"repo_path": "Delight_extracted/Delight-master/scripts/mcmcTemplatePriors.py",
"type": "Python"
} |
import sys
from mpi4py import MPI
import numpy as np
from scipy.interpolate import interp1d
sys.path.append('/Users/bl/Dropbox/repos/Delight/')
from delight.io import *
from delight.utils import *
from delight.photoz_gp import PhotozGP
from delight.photoz_kernels import Photoz_mean_function, Photoz_kernel
import scipy... | ixkaelREPO_NAMEDelightPATH_START.@Delight_extracted@Delight-master@scripts@mcmcTemplatePriors.py@.PATH_END.py |
{
"filename": "sim_tools.py",
"repo_name": "ivastar/clear",
"repo_path": "clear_extracted/clear-master/notebooks/forward_modeling/sim_tools.py",
"type": "Python"
} | __author__ = 'Vince.ec'
from grizli import model
from grizli import multifit
import numpy as np
from scipy.interpolate import interp1d
from astropy.table import Table
from astropy import wcs
from astropy.io import fits
from glob import glob
import os
def Extract_BeamCutout(target_id, grism_file, mosaic, seg_map, inst... | ivastarREPO_NAMEclearPATH_START.@clear_extracted@clear-master@notebooks@forward_modeling@sim_tools.py@.PATH_END.py |
{
"filename": "test_distribution.py",
"repo_name": "PlasmaPy/PlasmaPy",
"repo_path": "PlasmaPy_extracted/PlasmaPy-main/tests/formulary/test_distribution.py",
"type": "Python"
} | """Tests for functions that uses Distribution functions."""
import astropy.units as u
import numpy as np
import pytest
import scipy.integrate as spint
from astropy.constants import k_B, m_e
from plasmapy.formulary.distribution import (
Maxwellian_1D,
Maxwellian_speed_1D,
Maxwellian_speed_2D,
Maxwellia... | PlasmaPyREPO_NAMEPlasmaPyPATH_START.@PlasmaPy_extracted@PlasmaPy-main@tests@formulary@test_distribution.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/carpet/baxis/title/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._font import Font
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@carpet@baxis@title@__init__.py@.PATH_END.py |
{
"filename": "calrequestlib.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/recipe_system/cal_service/calrequestlib.py",
"type": "Python"
} | #
# DRAGONS
#
# calrequestlib.py
# ------------------------------------------------------------------------------
import hashlib
from gempy.utils import logutils
# GetterError is needed... | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@recipe_system@cal_service@calrequestlib.py@.PATH_END.py |
{
"filename": "read_yaml_skymodel.py",
"repo_name": "JLBLine/WODEN",
"repo_path": "WODEN_extracted/WODEN-master/wodenpy/skymodel/read_yaml_skymodel.py",
"type": "Python"
} | import numpy as np
import sys
import os
from typing import Union, Tuple
from wodenpy.skymodel.woden_skymodel import Component_Type_Counter, Component_Info, CompTypes, calc_pl_norm_at_200MHz, calc_cpl_norm_at_200MHz
from wodenpy.skymodel.chunk_sky_model import Skymodel_Chunk_Map
from wodenpy.use_libwoden.skymodel_struc... | JLBLineREPO_NAMEWODENPATH_START.@WODEN_extracted@WODEN-master@wodenpy@skymodel@read_yaml_skymodel.py@.PATH_END.py |
{
"filename": "_textfont.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/layout/mapbox/layer/symbol/_textfont.py",
"type": "Python"
} | from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
import copy as _copy
class Textfont(_BaseLayoutHierarchyType):
# class properties
# --------------------
_parent_path_str = "layout.mapbox.layer.symbol"
_path_str = "layout.mapbox.layer.symbol.textfont"
_valid_pr... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@layout@mapbox@layer@symbol@_textfont.py@.PATH_END.py |
{
"filename": "api.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/autograph/impl/api.py",
"type": "Python"
} | # Copyright 2016 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@autograph@impl@api.py@.PATH_END.py |
{
"filename": "_tickwidth.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatter3d/marker/colorbar/_tickwidth.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="tickwidth", parent_name="scatter3d.marker.colorbar", **kwargs
):
super(TickwidthValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatter3d@marker@colorbar@_tickwidth.py@.PATH_END.py |
{
"filename": "timelib.py",
"repo_name": "skyfielders/python-skyfield",
"repo_path": "python-skyfield_extracted/python-skyfield-master/skyfield/timelib.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import datetime as dt_module
import re
import sys
from collections import namedtuple
from datetime import date, datetime, timedelta
from numpy import (
array, concatenate, cos, float64, int64, isnan, isinf, linspace,
nan, ndarray, nonzero, pi, rollaxis, searchsorted, sin, where, zeros_li... | skyfieldersREPO_NAMEpython-skyfieldPATH_START.@python-skyfield_extracted@python-skyfield-master@skyfield@timelib.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/scalar/timedelta/__init__.py",
"type": "Python"
} | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@scalar@timedelta@__init__.py@.PATH_END.py | |
{
"filename": "__init__.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/analysis_modules/star_analysis/__init__.py",
"type": "Python"
} | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@analysis_modules@star_analysis@__init__.py@.PATH_END.py | |
{
"filename": "__init__.py",
"repo_name": "xC-ell/growth-history",
"repo_path": "growth-history_extracted/growth-history-main/xCell/xcell/tests/__init__.py",
"type": "Python"
} | xC-ellREPO_NAMEgrowth-historyPATH_START.@growth-history_extracted@growth-history-main@xCell@xcell@tests@__init__.py@.PATH_END.py | |
{
"filename": "aeff.py",
"repo_name": "icecube/skyllh",
"repo_path": "skyllh_extracted/skyllh-master/skyllh/analyses/i3/publicdata_ps/aeff.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import numpy as np
from scipy import (
integrate,
interpolate,
)
from skyllh.analyses.i3.publicdata_ps.utils import (
FctSpline2D,
)
from skyllh.core.binning import (
get_bin_indices_from_lower_and_upper_binedges,
get_bincenters_from_binedges,
)
from skyllh.core.storage im... | icecubeREPO_NAMEskyllhPATH_START.@skyllh_extracted@skyllh-master@skyllh@analyses@i3@publicdata_ps@aeff.py@.PATH_END.py |
{
"filename": "load_pkl.py",
"repo_name": "michaelhb/superplot",
"repo_path": "superplot_extracted/superplot-master/superplot/example/load_pkl.py",
"type": "Python"
} | """
======================
Display a pickled plot
======================
This script demonstrates how a pickled plot file can be loaded from disk and
displayed.
For usage, see `python load_pkl.py --help`.
"""
from argparse import ArgumentParser as arg_parser
from pickle import load
import matplotlib.pyplot as plt
d... | michaelhbREPO_NAMEsuperplotPATH_START.@superplot_extracted@superplot-master@superplot@example@load_pkl.py@.PATH_END.py |
{
"filename": "analysis_test_matiasfile_18082020.py",
"repo_name": "kumikokotera/GRAND_tools",
"repo_path": "GRAND_tools_extracted/GRAND_tools-master/grid_shape/tools/analysis_test_matiasfile_18082020.py",
"type": "Python"
} | import matplotlib.pyplot as plt
import numpy as np
import os
import json
from grid_shape import diff_spec as diff_spec
from grid_shape import grids as grids
from grid_shape import utils_analysis as ua
path = "/Users/benoitl/Documents/GRAND/test_matias_18082020/"
plot_path = os.path.join(path, "plots")
events_data_... | kumikokoteraREPO_NAMEGRAND_toolsPATH_START.@GRAND_tools_extracted@GRAND_tools-master@grid_shape@tools@analysis_test_matiasfile_18082020.py@.PATH_END.py |
{
"filename": "code.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/ipython/py3/IPython/core/magics/code.py",
"type": "Python"
} | """Implementation of code management magic functions.
"""
#-----------------------------------------------------------------------------
# Copyright (c) 2012 The IPython Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with th... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@ipython@py3@IPython@core@magics@code.py@.PATH_END.py |
{
"filename": "michi2_filter_flux_2sigma_no_dust_no_radio.py",
"repo_name": "1054/Crab.Toolkit.michi2",
"repo_path": "Crab.Toolkit.michi2_extracted/Crab.Toolkit.michi2-master/bin/michi2_filter_flux_2sigma_no_dust_no_radio.py",
"type": "Python"
} | #!/usr/bin/env python
#
import os
import sys
import numpy
import astropy
import astropy.io.ascii as asciitable
from copy import copy
####################################
# MAIN #
####################################
if not len(sys.argv) > 2:
print('Usage: michi2_filter_flux_3sigma... | 1054REPO_NAMECrab.Toolkit.michi2PATH_START.@Crab.Toolkit.michi2_extracted@Crab.Toolkit.michi2-master@bin@michi2_filter_flux_2sigma_no_dust_no_radio.py@.PATH_END.py |
{
"filename": "_stylesrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/pie/title/font/_stylesrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StylesrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="stylesrc", parent_name="pie.title.font", **kwargs):
super(StylesrcValidator, 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@pie@title@font@_stylesrc.py@.PATH_END.py |
{
"filename": "_customdata.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/streamtube/_customdata.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="customdata", parent_name="streamtube", **kwargs):
super(CustomdataValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_n... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@streamtube@_customdata.py@.PATH_END.py |
{
"filename": "surfaceSigmaProfile.py",
"repo_name": "jobovy/galpy",
"repo_path": "galpy_extracted/galpy-main/galpy/df/surfaceSigmaProfile.py",
"type": "Python"
} | ###############################################################################
# surfaceSigmaProfile: classes that implement different surface-mass and
# radial velocity dispersion profiles
#
# Includes the following:
# surfaceSigmaProfile - top-level class that represents a surface
# ... | jobovyREPO_NAMEgalpyPATH_START.@galpy_extracted@galpy-main@galpy@df@surfaceSigmaProfile.py@.PATH_END.py |
{
"filename": "config.py",
"repo_name": "jrenaud90/TidalPy",
"repo_path": "TidalPy_extracted/TidalPy-main/TidalPy/utilities/classes/config/config.py",
"type": "Python"
} | import copy
import os
from pprint import pprint
from typing import Any, Tuple
from TidalPy import extensive_checks, version
from TidalPy import _output_dir as disk_loc
from TidalPy.configurations import save_dict_to_toml
from TidalPy.exceptions import ImproperPropertyHandling, OuterscopePropertySetError, ParameterMiss... | jrenaud90REPO_NAMETidalPyPATH_START.@TidalPy_extracted@TidalPy-main@TidalPy@utilities@classes@config@config.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "grazianoucci/game",
"repo_path": "game_extracted/game-master/setup.py",
"type": "Python"
} | # !/usr/bin/python3
# coding: utf-8
""" Setups librarys and install dependencies """
from setuptools import setup, find_packages
DESCRIPTION = \
'--------------------------------------------------------\n' + \
'--- GAME (GAlaxy Machine learning for Emission lines) --\n' + \
'------- see Uc... | grazianoucciREPO_NAMEgamePATH_START.@game_extracted@game-master@setup.py@.PATH_END.py |
{
"filename": "test_camera.py",
"repo_name": "panoptes/POCS",
"repo_path": "POCS_extracted/POCS-main/tests/test_camera.py",
"type": "Python"
} | import os
import time
import glob
from ctypes.util import find_library
from contextlib import suppress
import pytest
import astropy.units as u
from astropy.io import fits
import requests
from panoptes.pocs.camera.simulator.dslr import Camera as SimCamera
from panoptes.pocs.camera.simulator.ccd import Camera as SimSDK... | panoptesREPO_NAMEPOCSPATH_START.@POCS_extracted@POCS-main@tests@test_camera.py@.PATH_END.py |
{
"filename": "score_function.py",
"repo_name": "oliverphilcox/ChempyMulti",
"repo_path": "ChempyMulti_extracted/ChempyMulti-master/Chempy/score_function.py",
"type": "Python"
} | import numpy as np
import os
def CV_score():
"""This function will compute the UNNORMALISED cross-validation abundances for each of the 22 elements,
using the best parameter choice for each.
This computes the likelihood contribution, and saves each separately.
"""
from Chempy.parameter import ModelParameters
i... | oliverphilcoxREPO_NAMEChempyMultiPATH_START.@ChempyMulti_extracted@ChempyMulti-master@Chempy@score_function.py@.PATH_END.py |
{
"filename": "_colorscale.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/barpolar/marker/line/_colorscale.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
def __init__(
self, plotly_name="colorscale", parent_name="barpolar.marker.line", **kwargs
):
super(ColorscaleValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@barpolar@marker@line@_colorscale.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "astro-informatics/s2wav",
"repo_path": "s2wav_extracted/s2wav-main/docs/conf.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
#
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/master/config
# -- Path setup ------------------------------------------------------------... | astro-informaticsREPO_NAMEs2wavPATH_START.@s2wav_extracted@s2wav-main@docs@conf.py@.PATH_END.py |
{
"filename": "_showgrid.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/ternary/aaxis/_showgrid.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowgridValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="showgrid", parent_name="layout.ternary.aaxis", **kwargs
):
super(ShowgridValidator, self).__init__(
plotly_name=plotly_name,
pare... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@ternary@aaxis@_showgrid.py@.PATH_END.py |
{
"filename": "HST.py",
"repo_name": "sibirrer/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/lenstronomy/SimulationAPI/ObservationConfig/HST.py",
"type": "Python"
} | """Provisional HST instrument and observational settings.
See Optics and Observation Conditions spreadsheet at
https://docs.google.com/spreadsheets/d/1pMUB_OOZWwXON2dd5oP8PekhCT5MBBZJO1HV7IMZg4Y/edit?usp=sharing
for list of
sources.
"""
import lenstronomy.Util.util as util
__all__ = ["HST"]
# F160W filter configs
W... | sibirrerREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@lenstronomy@SimulationAPI@ObservationConfig@HST.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "simonsobs/ocs",
"repo_path": "ocs_extracted/ocs-main/ocs/agents/registry/__init__.py",
"type": "Python"
} | simonsobsREPO_NAMEocsPATH_START.@ocs_extracted@ocs-main@ocs@agents@registry@__init__.py@.PATH_END.py | |
{
"filename": "scaling.py",
"repo_name": "AMReX-Astro/wdmerger",
"repo_path": "wdmerger_extracted/wdmerger-main/scaling/edison-2014-06-24/scaling.py",
"type": "Python"
} | import numpy as np
import pylab
data = np.loadtxt("scaling-48.txt")
cores = data[:,0]*data[:,1]
time = data[:,2]
pylab.loglog(cores, time, "o-", color="r",
label=r"3 levels, jumps of 2$\times$ (0 $\rightarrow$ 1) and 4$\times$ (1 $\rightarrow$ 2)")
ideal = time[0]*cores[0]/cores
pylab.loglog(cores, i... | AMReX-AstroREPO_NAMEwdmergerPATH_START.@wdmerger_extracted@wdmerger-main@scaling@edison-2014-06-24@scaling.py@.PATH_END.py |
{
"filename": "MicImagePlugin.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/PIL/MicImagePlugin.py",
"type": "Python"
} | #
# The Python Imaging Library.
# $Id$
#
# Microsoft Image Composer support for PIL
#
# Notes:
# uses TiffImagePlugin.py to read the actual image streams
#
# History:
# 97-01-20 fl Created
#
# Copyright (c) Secret Labs AB 1997.
# Copyright (c) Fredrik Lundh 1997.
#
# See the README file for information ... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@PIL@MicImagePlugin.py@.PATH_END.py |
{
"filename": "light-delay.md",
"repo_name": "exoplanet-dev/exoplanet",
"repo_path": "exoplanet_extracted/exoplanet-main/docs/tutorials/light-delay.md",
"type": "Markdown"
} | ---
jupytext:
text_representation:
extension: .md
format_name: myst
format_version: 0.13
jupytext_version: 1.16.4
kernelspec:
display_name: Python 3 (ipykernel)
language: python
name: python3
---
# Light travel time delay
```{code-cell}
:nbsphinx: hidden
import exoplanet
exoplanet.utils.docs... | exoplanet-devREPO_NAMEexoplanetPATH_START.@exoplanet_extracted@exoplanet-main@docs@tutorials@light-delay.md@.PATH_END.py |
{
"filename": "fake_rfi.py",
"repo_name": "mattpitkin/tempo2",
"repo_path": "tempo2_extracted/tempo2-master/python/toasim/bin/fake_rfi.py",
"type": "Python"
} | #!/usr/bin/python
import toasim
import sys,random
nreal = 1
header = toasim.header()
header.parfile_name=sys.argv[1]
header.timfile_name=sys.argv[2]
par=open(sys.argv[1])
tim=open(sys.argv[2])
header.orig_parfile=par.read()
header.idealised_toas=tim.read()
reals=list()
i=0
while i < len(sys.argv):
if sys.arg... | mattpitkinREPO_NAMEtempo2PATH_START.@tempo2_extracted@tempo2-master@python@toasim@bin@fake_rfi.py@.PATH_END.py |
{
"filename": "plot_PMN_transmission_JWST_CC.py",
"repo_name": "mrline/CHIMERA",
"repo_path": "CHIMERA_extracted/CHIMERA-master/MASTER_ROUTINES/plot_PMN_transmission_JWST_CC.py",
"type": "Python"
} | import matplotlib as mpl
mpl.use('TkAgg')
from matplotlib.pyplot import *
from matplotlib import pyplot as plt
import pickle
import pdb
from fm import *
from scipy import interp
rc('font',family='serif')
import pickle
import corner
#PLOTTING UP CORNER PLOT-------------------------------------------------------------... | mrlineREPO_NAMECHIMERAPATH_START.@CHIMERA_extracted@CHIMERA-master@MASTER_ROUTINES@plot_PMN_transmission_JWST_CC.py@.PATH_END.py |
{
"filename": "watchdog_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/distribute/coordinator/watchdog_test.py",
"type": "Python"
} | # Copyright 2021 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 applicable ... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@distribute@coordinator@watchdog_test.py@.PATH_END.py |
{
"filename": "gclm2lenmap.py",
"repo_name": "carronj/lenspyx",
"repo_path": "lenspyx_extracted/lenspyx-master/lenspyx/tests/gclm2lenmap.py",
"type": "Python"
} | """Times the deflection angles calculation etc"""
import os
import numpy as np
from lenspyx.tests.helper import syn_ffi_ducc_29, syn_alms
from lenspyx import cachers
import multiprocessing
import argparse
import time
from lenspyx.remapping import utils_geom
from lenspyx.utils import timer
import ducc0
import tracemall... | carronjREPO_NAMElenspyxPATH_START.@lenspyx_extracted@lenspyx-master@lenspyx@tests@gclm2lenmap.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "dstndstn/tractor",
"repo_path": "tractor_extracted/tractor-main/projects/__init__.py",
"type": "Python"
} | dstndstnREPO_NAMEtractorPATH_START.@tractor_extracted@tractor-main@projects@__init__.py@.PATH_END.py | |
{
"filename": "statespace_custom_models.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/examples/python/statespace_custom_models.py",
"type": "Python"
} | #!/usr/bin/env python
# DO NOT EDIT
# Autogenerated from the notebook statespace_custom_models.ipynb.
# Edit the notebook and then sync the output with this file.
#
# flake8: noqa
# DO NOT EDIT
# # Custom statespace models
#
# The true power of the state space model is to allow the creation and
# estimation of custom... | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@examples@python@statespace_custom_models.py@.PATH_END.py |
{
"filename": "_shadowsrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/sunburst/insidetextfont/_shadowsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShadowsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="shadowsrc", parent_name="sunburst.insidetextfont", **kwargs
):
super(ShadowsrcValidator, self).__init__(
plotly_name=plotly_name,
pa... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@sunburst@insidetextfont@_shadowsrc.py@.PATH_END.py |
{
"filename": "gruppioni2020.py",
"repo_name": "mirochaj/ares",
"repo_path": "ares_extracted/ares-main/input/litdata/gruppioni2020.py",
"type": "Python"
} | """
Gruppioni et al., 2020, A&A, 643, 8G
"""
import numpy as np
info = \
{
'reference': 'Gruppioni et al., 2020, A&A, 643, 8G',
'data': 'Tables 2 & 3',
'label': 'Gruppioni+ (2020)',
}
# Really coarse redshift bins
redshifts = np.array([4, 5.25])
zbins = np.array([[3.5, 4.5], [4.5, 6.]])
ULIM = -1e10
# Table 3
t... | mirochajREPO_NAMEaresPATH_START.@ares_extracted@ares-main@input@litdata@gruppioni2020.py@.PATH_END.py |
{
"filename": "computeHugoniotWithPorosity.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/Porosity/computeHugoniotWithPorosity.py",
"type": "Python"
} | #-------------------------------------------------------------------------------
# Generalized version of computeHugoniot to include porosity, which can lead to
# a new elastic porosity compression state in front of the shock front.
#
# Based on the discussion in the section on Hugoniots and Isentropes from
# Herrmann,... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@Porosity@computeHugoniotWithPorosity.py@.PATH_END.py |
{
"filename": "uncertaintyquantification.ipynb",
"repo_name": "yongsukyee/uncertain_blackholemass",
"repo_path": "uncertain_blackholemass_extracted/uncertain_blackholemass-main/uncertain_blackholemass/notebooks/uncertaintyquantification.ipynb",
"type": "Jupyter Notebook"
} | # Uncertainty Quantification for Regression with MAPIE
```python
import sys
sys.path.append("..")
from pathlib import Path
from scipy import stats
from sklearn.linear_model import QuantileRegressor
from sklearn.metrics import r2_score
from sklearn.model_selection import cross_val_score, train_test_split
import matp... | yongsukyeeREPO_NAMEuncertain_blackholemassPATH_START.@uncertain_blackholemass_extracted@uncertain_blackholemass-main@uncertain_blackholemass@notebooks@uncertaintyquantification.ipynb@.PATH_END.py |
{
"filename": "cli-regular-settings.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/_includes/work_src/reusage/cli-regular-settings.md",
"type": "Markdown"
} | ## Input file settings
### -f, --learn-set
#### Description
The path to the input file{% if audience == "internal" %} or table{% endif %} that contains the training dataset.
{% include [files-internal-files-internal__desc__full](../../../_includes/work_src/reusage-formats/files-internal__desc__full.md) %}
**{{ cli... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@_includes@work_src@reusage@cli-regular-settings.md@.PATH_END.py |
{
"filename": "test_power_mg.py",
"repo_name": "LSSTDESC/CCL",
"repo_path": "CCL_extracted/CCL-master/benchmarks/test_power_mg.py",
"type": "Python"
} | import numpy as np
import pytest
import pyccl as ccl
from pyccl.modified_gravity import MuSigmaMG
POWER_MG_TOL = 1e-2
@pytest.mark.parametrize('model', list(range(5)))
def test_power_mg(model):
mu_0 = [0., 0.1, -0.1, 0.1, -0.1]
sigma_0 = [0., 0.1, -0.1, -0.1, 0.1]
cosmo = ccl.Cosmology(
Omega_c... | LSSTDESCREPO_NAMECCLPATH_START.@CCL_extracted@CCL-master@benchmarks@test_power_mg.py@.PATH_END.py |
{
"filename": "llamafile.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/llms/llamafile.py",
"type": "Python"
} | from __future__ import annotations
import json
from io import StringIO
from typing import Any, Dict, Iterator, List, Optional
import requests
from langchain_core.callbacks.manager import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.outputs import GenerationChunk
fro... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@llms@llamafile.py@.PATH_END.py |
{
"filename": "phasecurves.py",
"repo_name": "hpparvi/PyTransit",
"repo_path": "PyTransit_extracted/PyTransit-master/pytransit/utils/phasecurves.py",
"type": "Python"
} | # PyTransit: fast and easy exoplanet transit modelling in Python.
# Copyright (C) 2010-2020 Hannu Parviainen
#
# 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 Licen... | hpparviREPO_NAMEPyTransitPATH_START.@PyTransit_extracted@PyTransit-master@pytransit@utils@phasecurves.py@.PATH_END.py |
{
"filename": "galaxy.py",
"repo_name": "grand-mother/grand",
"repo_path": "grand_extracted/grand-main/grand/simu/galaxy.py",
"type": "Python"
} | """
Simulation of galaxy emission in radio frequency
"""
import h5py
import numpy as np
import matplotlib.pyplot as plt
from grand.num.signal import interpol_at_new_x
from grand import grand_add_path_data
def galaxy_radio_signal(f_lst, size_out, freqs_mhz, nb_ant, show_flag=False):
"""
This program is used... | grand-motherREPO_NAMEgrandPATH_START.@grand_extracted@grand-main@grand@simu@galaxy.py@.PATH_END.py |
{
"filename": "make_cube_vdfi.py",
"repo_name": "grzeimann/Remedy",
"repo_path": "Remedy_extracted/Remedy-master/make_cube_vdfi.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jul 5 11:09:49 2024
@author: grz85
"""
import numpy as np
from astropy.io import fits
from astrometry import Astrometry
from input_utils import setup_logging
import os.path as op
import warnings
from astropy.convolution import convolve, Moffat2DKernel... | grzeimannREPO_NAMERemedyPATH_START.@Remedy_extracted@Remedy-master@make_cube_vdfi.py@.PATH_END.py |
{
"filename": "feature_request.md",
"repo_name": "halomod/halomod",
"repo_path": "halomod_extracted/halomod-main/.github/ISSUE_TEMPLATE/feature_request.md",
"type": "Markdown"
} | ---
name: Feature request
about: Suggest an idea for this project
title: "[Feature Req]"
labels: 'Type: feature'
assignees: steven-murray
---
**Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
**Describe the ... | halomodREPO_NAMEhalomodPATH_START.@halomod_extracted@halomod-main@.github@ISSUE_TEMPLATE@feature_request.md@.PATH_END.py |
{
"filename": "_namelength.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattersmith/hoverlabel/_namelength.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="namelength", parent_name="scattersmith.hoverlabel", **kwargs
):
super(NamelengthValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattersmith@hoverlabel@_namelength.py@.PATH_END.py |
{
"filename": "test_orphan.py",
"repo_name": "adrn/gala",
"repo_path": "gala_extracted/gala-main/gala/coordinates/tests/test_orphan.py",
"type": "Python"
} | """
Test the coordinates class that represents the plane of orbit of the Sgr dwarf galaxy.
"""
# Third-party
import astropy.coordinates as coord
import astropy.units as u
from astropy.io import ascii
from astropy.table import Table
from astropy.utils.data import get_pkg_data_filename
import numpy as np
# This project... | adrnREPO_NAMEgalaPATH_START.@gala_extracted@gala-main@gala@coordinates@tests@test_orphan.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "dullemond/radmc3d-2.0",
"repo_path": "radmc3d-2.0_extracted/radmc3d-2.0-master/python/radmc3dPy/radmc3dPy/__init__.py",
"type": "Python"
} | """
RADMC-3D Python module
(c) Attila Juhasz, 2011-2018
"""
from radmc3dPy import analyze
from radmc3dPy import crd_trans
from radmc3dPy import data
from radmc3dPy import dustopac
from radmc3dPy import image
from radmc3dPy import miescat
from radmc3dPy import models
from radmc3dPy import molecule
from radmc3dPy impo... | dullemondREPO_NAMEradmc3d-2.0PATH_START.@radmc3d-2.0_extracted@radmc3d-2.0-master@python@radmc3dPy@radmc3dPy@__init__.py@.PATH_END.py |
{
"filename": "collective_ops_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/kernel_tests/collective_ops_test.py",
"type": "Python"
} | # Copyright 2020 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@kernel_tests@collective_ops_test.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "rapidsai/cuml",
"repo_path": "cuml_extracted/cuml-main/python/cuml/cuml/benchmark/automated/dask/__init__.py",
"type": "Python"
} | rapidsaiREPO_NAMEcumlPATH_START.@cuml_extracted@cuml-main@python@cuml@cuml@benchmark@automated@dask@__init__.py@.PATH_END.py | |
{
"filename": "NeuralNet.py",
"repo_name": "ja-vazquez/SimpleMC",
"repo_path": "SimpleMC_extracted/SimpleMC-master/simplemc/analyzers/neuralike/NeuralNet.py",
"type": "Python"
} | # Temporarily unavailable. Neuralike in development.
import sys
import numpy as np
import matplotlib.pyplot as plt
class NeuralNet:
def __init__(self, load=False, model_path=None, X=None, Y=None, topology=None, **kwargs):
"""
Read the network params
Parameters
-----------
... | ja-vazquezREPO_NAMESimpleMCPATH_START.@SimpleMC_extracted@SimpleMC-master@simplemc@analyzers@neuralike@NeuralNet.py@.PATH_END.py |
{
"filename": "calculus.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/mpmath/py3/mpmath/matrices/calculus.py",
"type": "Python"
} | from ..libmp.backend import xrange
# TODO: should use diagonalization-based algorithms
class MatrixCalculusMethods(object):
def _exp_pade(ctx, a):
"""
Exponential of a matrix using Pade approximants.
See G. H. Golub, C. F. van Loan 'Matrix Computations',
third Ed., page 572
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@mpmath@py3@mpmath@matrices@calculus.py@.PATH_END.py |
{
"filename": "test_to_timestamp.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/indexes/period/methods/test_to_timestamp.py",
"type": "Python"
} | from datetime import datetime
import numpy as np
import pytest
from pandas import (
DatetimeIndex,
NaT,
PeriodIndex,
Timedelta,
Timestamp,
date_range,
period_range,
)
import pandas._testing as tm
class TestToTimestamp:
def test_to_timestamp_non_contiguous(self):
# GH#44100
... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@indexes@period@methods@test_to_timestamp.py@.PATH_END.py |
{
"filename": "io.py",
"repo_name": "MNiwano/Eclaire",
"repo_path": "Eclaire_extracted/Eclaire-master/eclaire/io.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import sys
import io
import copy
import time
import itertools
import warnings
from pathlib import Path
if sys.version_info.major == 2:
from future_builtins import zip, map
from collections import Sized, Iterable, Iterator, Sequence
import __builtin__ as builtins
else:
from ... | MNiwanoREPO_NAMEEclairePATH_START.@Eclaire_extracted@Eclaire-master@eclaire@io.py@.PATH_END.py |
{
"filename": "test_io.py",
"repo_name": "handley-lab/fgivenx",
"repo_path": "fgivenx_extracted/fgivenx-master/fgivenx/test/test_io.py",
"type": "Python"
} | import numpy
import pytest
import os
import fgivenx.io
from shutil import rmtree
from numpy.testing import assert_allclose
def test_Cache():
""" Fully test the cache """
# Stuff for testing the functionality
numpy.random.seed(0)
dirname = '.test_cache'
root = os.path.join(dirname, 'test_root')
... | handley-labREPO_NAMEfgivenxPATH_START.@fgivenx_extracted@fgivenx-master@fgivenx@test@test_io.py@.PATH_END.py |
{
"filename": "linalg.py",
"repo_name": "fchollet/keras",
"repo_path": "keras_extracted/keras-master/keras/src/backend/jax/linalg.py",
"type": "Python"
} | import jax
import jax.numpy as jnp
import jax.scipy as jsp
from keras.src.backend import config
from keras.src.backend import standardize_dtype
from keras.src.backend.common import dtypes
from keras.src.backend.jax.core import cast
from keras.src.backend.jax.core import convert_to_tensor
def cholesky(a):
out = j... | fcholletREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@backend@jax@linalg.py@.PATH_END.py |
{
"filename": "BADASS3_config_test_example.ipynb",
"repo_name": "remingtonsexton/BADASS3",
"repo_path": "BADASS3_extracted/BADASS3-master/example_notebooks/BADASS3_config_test_example.ipynb",
"type": "Jupyter Notebook"
} | ## Bayesian AGN Decomposition Analysis for SDSS Spectra (BADASS)
### Single Spectrum Configuration Test Example
This notebook shows how to perform configuration testing. Configuration testing is different from line testing. Line testing performs tests on individual lines, whereas configurations can be multiple diffe... | remingtonsextonREPO_NAMEBADASS3PATH_START.@BADASS3_extracted@BADASS3-master@example_notebooks@BADASS3_config_test_example.ipynb@.PATH_END.py |
{
"filename": "plot_images.py",
"repo_name": "dullemond/radmc3d-2.0",
"repo_path": "radmc3d-2.0_extracted/radmc3d-2.0-master/examples/run_ppdisk_fargo3d_1/plot_images.py",
"type": "Python"
} | import numpy as np
from matplotlib import pyplot as plt
from matplotlib import cm
from radmc3dPy.image import *
from radmc3dPy.analyze import *
from radmc3dPy.natconst import *
#
# Make sure to have done the following beforhand:
#
# First compile RADMC-3D
# Then run:
# python problem_setup.py
# radmc3d mctherm
#... | dullemondREPO_NAMEradmc3d-2.0PATH_START.@radmc3d-2.0_extracted@radmc3d-2.0-master@examples@run_ppdisk_fargo3d_1@plot_images.py@.PATH_END.py |
{
"filename": "ModelStorage.ipynb",
"repo_name": "natashabatalha/picaso",
"repo_path": "picaso_extracted/picaso-master/docs/notebooks/ModelStorage.ipynb",
"type": "Jupyter Notebook"
} | # Model Storage: Preservation and Reuse
Storing data is often tricky. You may be wondering what output to save, what output to throw away. You may also have questions surround what formats to use to store your data.
PICASO's recommended model output is `xarray`. There are several `xarray` tutorials throughout the p... | natashabatalhaREPO_NAMEpicasoPATH_START.@picaso_extracted@picaso-master@docs@notebooks@ModelStorage.ipynb@.PATH_END.py |
{
"filename": "sample_pureB.py",
"repo_name": "LSSTDESC/NaMaster",
"repo_path": "NaMaster_extracted/NaMaster-master/test/sample_pureB.py",
"type": "Python"
} | import numpy as np
import healpy as hp
import matplotlib.pyplot as plt
import pymaster as nmt
# This script describes the computation of polarized power spectra using the
# pure-E and B approach
# We'll run this many simulations
nsim = 10
# HEALPix map resolution
nside = 256
# Let us first create a square mask:
msk ... | LSSTDESCREPO_NAMENaMasterPATH_START.@NaMaster_extracted@NaMaster-master@test@sample_pureB.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "RobertJaro/InstrumentToInstrument",
"repo_path": "InstrumentToInstrument_extracted/InstrumentToInstrument-master/itipy/evaluation/stereo/__init__.py",
"type": "Python"
} | RobertJaroREPO_NAMEInstrumentToInstrumentPATH_START.@InstrumentToInstrument_extracted@InstrumentToInstrument-master@itipy@evaluation@stereo@__init__.py@.PATH_END.py | |
{
"filename": "wrapper.py",
"repo_name": "jordanflitter/21cmFirstCLASS",
"repo_path": "21cmFirstCLASS_extracted/21cmFirstCLASS-main/src/py21cmfast/wrapper.py",
"type": "Python"
} | """
The main wrapper for the underlying 21cmFAST C-code.
The module provides both low- and high-level wrappers, using the very low-level machinery
in :mod:`~py21cmfast._utils`, and the convenient input and output structures from
:mod:`~py21cmfast.inputs` and :mod:`~py21cmfast.outputs`.
This module provides a number o... | jordanflitterREPO_NAME21cmFirstCLASSPATH_START.@21cmFirstCLASS_extracted@21cmFirstCLASS-main@src@py21cmfast@wrapper.py@.PATH_END.py |
{
"filename": "jax_primitives_coverage.md",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/jax/experimental/jax2tf/g3doc/jax_primitives_coverage.md",
"type": "Markdown"
} | # Primitives with limited JAX support
*Last generated on: 2023-07-31* (YYYY-MM-DD)
## Supported data types for primitives
We use a set of 7554 test harnesses to test
the implementation of 133 numeric JAX primitives.
We consider a JAX primitive supported for a particular data
type if it is supported on at least one d... | googleREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@experimental@jax2tf@g3doc@jax_primitives_coverage.md@.PATH_END.py |
{
"filename": "axepreptor.py",
"repo_name": "spacetelescope/hstaxe",
"repo_path": "hstaxe_extracted/hstaxe-main/hstaxe/axesrc/axepreptor.py",
"type": "Python"
} | import os
import logging
from astropy.io import fits
import stsci.imagestats as imagestats
from hstaxe import config as config_util
from hstaxe.axeerror import aXeError
from . import axelowlev
from . import configfile
from . import axetasks
# make sure there is a logger
_log = logging.getLogger(__name__)
class aX... | spacetelescopeREPO_NAMEhstaxePATH_START.@hstaxe_extracted@hstaxe-main@hstaxe@axesrc@axepreptor.py@.PATH_END.py |
{
"filename": "cori.py",
"repo_name": "changhoonhahn/provabgs",
"repo_path": "provabgs_extracted/provabgs-main/svda/bin/cori.py",
"type": "Python"
} | import os, sys
import h5py
import glob
import numpy as np
from astropy import table as aTable
import svda as SVDA
dir_fuji = '/global/cfs/cdirs/desi/spectro/redux/fuji/'
#####################################################################################
# healpix
##############################################... | changhoonhahnREPO_NAMEprovabgsPATH_START.@provabgs_extracted@provabgs-main@svda@bin@cori.py@.PATH_END.py |
{
"filename": "MPL.py",
"repo_name": "sdss/marvin",
"repo_path": "marvin_extracted/marvin-main/python/marvin/utils/datamodel/query/MPL.py",
"type": "Python"
} | # !usr/bin/env python
# -*- coding: utf-8 -*-
#
# Licensed under a 3-clause BSD license.
#
# @Author: Brian Cherinka
# @Date: 2017-09-20 13:24:13
# @Last modified by: Brian Cherinka
# @Last Modified time: 2018-11-15 12:00:27
from __future__ import absolute_import, division, print_function
import copy
from marvin ... | sdssREPO_NAMEmarvinPATH_START.@marvin_extracted@marvin-main@python@marvin@utils@datamodel@query@MPL.py@.PATH_END.py |
{
"filename": "reporters.py",
"repo_name": "davidharvey1986/pyRRG",
"repo_path": "pyRRG_extracted/pyRRG-master/unittests/bugFixPyRRG/lib/python3.7/site-packages/pip/_vendor/resolvelib/reporters.py",
"type": "Python"
} | class BaseReporter(object):
"""Delegate class to provider progress reporting for the resolver.
"""
def starting(self):
"""Called before the resolution actually starts.
"""
def starting_round(self, index):
"""Called before each round of resolution starts.
The index is z... | davidharvey1986REPO_NAMEpyRRGPATH_START.@pyRRG_extracted@pyRRG-master@unittests@bugFixPyRRG@lib@python3.7@site-packages@pip@_vendor@resolvelib@reporters.py@.PATH_END.py |
{
"filename": "test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/eager/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@test.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/third_party/xla/xla/pjrt/plugin/xla_tpu/README.md",
"type": "Markdown"
} | Public PJRT entry point for XLA:TPU. Please use PJRT to access XLA:TPU
functionality. | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@third_party@xla@xla@pjrt@plugin@xla_tpu@README.md@.PATH_END.py |
{
"filename": "checkpoint.py",
"repo_name": "magic-sph/magic",
"repo_path": "magic_extracted/magic-master/python/magic/checkpoint.py",
"type": "Python"
} | import numpy as np
import os
import scipy.interpolate as sint
from magic.libmagic import chebgrid, fd_grid, scanDir
def get_truncation(n_theta_max, nalias, minc):
"""
This routine determines l_max, m_max and lm_max from the values
of n_theta_max, minc and nalias.
:param n_theta_max: number of points a... | magic-sphREPO_NAMEmagicPATH_START.@magic_extracted@magic-master@python@magic@checkpoint.py@.PATH_END.py |
{
"filename": "_showscale.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/histogram2dcontour/_showscale.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="showscale", parent_name="histogram2dcontour", **kwargs
):
super(ShowscaleValidator, self).__init__(
plotly_name=plotly_name,
par... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@histogram2dcontour@_showscale.py@.PATH_END.py |
{
"filename": "plot_linear_temporal.py",
"repo_name": "gammapy/gammapy",
"repo_path": "gammapy_extracted/gammapy-main/examples/models/temporal/plot_linear_temporal.py",
"type": "Python"
} | r"""
.. _linear-temporal-model:
Linear temporal model
=======================
This model parametrises a linear time model.
.. math:: F(t) = \alpha + \beta \cdot (t - t_{\rm{ref}})
"""
# %%
# Example plot
# ------------
# Here is an example plot of the model:
from astropy import units as u
from astropy.time import... | gammapyREPO_NAMEgammapyPATH_START.@gammapy_extracted@gammapy-main@examples@models@temporal@plot_linear_temporal.py@.PATH_END.py |
{
"filename": "test_call.py",
"repo_name": "light-curve/light-curve-python",
"repo_path": "light-curve-python_extracted/light-curve-python-master/light-curve/tests/light_curve_py/test_call.py",
"type": "Python"
} | import pytest
from light_curve.light_curve_py import MaximumSlope
def test_normalize():
t = [1, 4, 3, 8]
m = [2, 15, 4, 3]
feature = MaximumSlope()
actual = feature(t, m, None, sorted=False)
desired = 11.0
assert actual == desired
def test_fill_zero_division():
t = [1, 1, 3, 4]
feat... | light-curveREPO_NAMElight-curve-pythonPATH_START.@light-curve-python_extracted@light-curve-python-master@light-curve@tests@light_curve_py@test_call.py@.PATH_END.py |
{
"filename": "video_matplotlib.py",
"repo_name": "wokast/PyCactus",
"repo_path": "PyCactus_extracted/PyCactus-master/SimVideo/simvideo/video_matplotlib.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""This module contains classes that serve as base classes for movies based on
matplotlib. Further it provides functions adding common commandline options,
e.g. colormap, to a parser."""
from __future__ import division
from builtins import zip
from builtins import object
import math
import nu... | wokastREPO_NAMEPyCactusPATH_START.@PyCactus_extracted@PyCactus-master@SimVideo@simvideo@video_matplotlib.py@.PATH_END.py |
{
"filename": "_xref.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattergl/marker/colorbar/_xref.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="xref", parent_name="scattergl.marker.colorbar", **kwargs
):
super(XrefValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattergl@marker@colorbar@_xref.py@.PATH_END.py |
{
"filename": "zenodo.py",
"repo_name": "showyourwork/showyourwork",
"repo_path": "showyourwork_extracted/showyourwork-main/src/showyourwork/exceptions/zenodo.py",
"type": "Python"
} | from .base import ShowyourworkException
class ZenodoException(ShowyourworkException):
pass
class ZenodoError(ZenodoException):
def __init__(self, status="", message="An error occurred while accessing Zenodo."):
super().__init__(
f"Zenodo error{' ' * bool(len(str(status)))}{status}: {mess... | showyourworkREPO_NAMEshowyourworkPATH_START.@showyourwork_extracted@showyourwork-main@src@showyourwork@exceptions@zenodo.py@.PATH_END.py |
{
"filename": "evaluation.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/schema/callbacks/tracers/evaluation.py",
"type": "Python"
} | from langchain_core.tracers.evaluation import (
EvaluatorCallbackHandler,
wait_for_all_evaluators,
)
__all__ = ["wait_for_all_evaluators", "EvaluatorCallbackHandler"]
| langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@schema@callbacks@tracers@evaluation.py@.PATH_END.py |
{
"filename": "crires_plus_example.py",
"repo_name": "AWehrhahn/PyReduce",
"repo_path": "PyReduce_extracted/PyReduce-master/examples/crires_plus_example.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Simple usage example for PyReduce
Loads a sample UVES dataset, and runs the full extraction
"""
import os.path
import pyreduce
from pyreduce import datasets
from pyreduce.configuration import get_configuration_for_instrument
# define parameters
instrument = "Crires_plus"
target = None
nig... | AWehrhahnREPO_NAMEPyReducePATH_START.@PyReduce_extracted@PyReduce-master@examples@crires_plus_example.py@.PATH_END.py |
{
"filename": "correct_HST_ACS_image.py",
"repo_name": "wfirst-cgi/emccd_detect",
"repo_path": "emccd_detect_extracted/emccd_detect-master/arcticpy_folder/examples/correct_HST_ACS_image.py",
"type": "Python"
} | """
Correct CTI in an image from the Hubble Space Telescope (HST) Advanced Camera
for Surveys (ACS) instrument.
It takes a while to correct a full image, so a small patch far from the readout
register (where CTI has the most effect) is used for this example.
"""
import arcticpy as ac
import os
from autoconf import co... | wfirst-cgiREPO_NAMEemccd_detectPATH_START.@emccd_detect_extracted@emccd_detect-master@arcticpy_folder@examples@correct_HST_ACS_image.py@.PATH_END.py |
{
"filename": "test_hash.py",
"repo_name": "tigerchenlu98/rebound",
"repo_path": "rebound_extracted/rebound-main/rebound/tests/test_hash.py",
"type": "Python"
} | import rebound
import unittest
from ctypes import c_uint32
class TestHash(unittest.TestCase):
def setUp(self):
self.sim = rebound.Simulation()
self.sim.add(m=1.)
self.sim.add(a=0.1)
self.sim.add(a=1.)
self.sim.add(a=5.)
self.sim.particles[2].hash = "earth"
se... | tigerchenlu98REPO_NAMEreboundPATH_START.@rebound_extracted@rebound-main@rebound@tests@test_hash.py@.PATH_END.py |
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