metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "crossing_orbits.py",
"repo_name": "j-faria/kima",
"repo_path": "kima_extracted/kima-master/pykima/crossing_orbits.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# original author Matthew Standing mxs1263@student.bham.ac.uk
# https://github.com/j-faria/kima/pull/57
import os
import numpy as np
from .results import KimaResults
# from astropy.constants
G = 6.67408e-11 # m3/(kg s2)
Msun = 1.9884754153381438e+30 # kg
Rsun = 695700000.0 # m
RHOsun = 1.4... | j-fariaREPO_NAMEkimaPATH_START.@kima_extracted@kima-master@pykima@crossing_orbits.py@.PATH_END.py |
{
"filename": "mw.py",
"repo_name": "astro-informatics/s2let",
"repo_path": "s2let_extracted/s2let-main/src/test/python/mw.py",
"type": "Python"
} | import healpy as hp
from pys2let import *
import math
import matplotlib.pyplot as plt
import os
import numpy as np
L = 32
spin = 0
# fname = '/Users/bl/Dropbox/Astrodata/SDSS/Fields/Planck_EBV_256rQ.fits'
fname = os.path.join(
os.path.dirname(__file__),
os.pardir,
os.pardir,
os.pardir,
"data",
... | astro-informaticsREPO_NAMEs2letPATH_START.@s2let_extracted@s2let-main@src@test@python@mw.py@.PATH_END.py |
{
"filename": "figure.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/codegen/figure.py",
"type": "Python"
} | from io import StringIO
from os import path as opath
from codegen.datatypes import (
reindent_validator_description,
add_constructor_params,
add_docstring,
)
from codegen.utils import write_source_py
import inflect
from plotly.basedatatypes import BaseFigure
def build_figure_py(
trace_node,
base... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@codegen@figure.py@.PATH_END.py |
{
"filename": "srd_batch.py",
"repo_name": "lsst/rubin_sim",
"repo_path": "rubin_sim_extracted/rubin_sim-main/rubin_sim/maf/batches/srd_batch.py",
"type": "Python"
} | """Metrics to investigate quantities related to SRD.
Potentially could diverge from versions in scienceRadar.
"""
__all__ = ("fOBatch", "astrometryBatch", "rapidRevisitBatch")
import warnings
import healpy as hp
import numpy as np
import rubin_sim.maf.metric_bundles as mb
import rubin_sim.maf.metrics as metrics
imp... | lsstREPO_NAMErubin_simPATH_START.@rubin_sim_extracted@rubin_sim-main@rubin_sim@maf@batches@srd_batch.py@.PATH_END.py |
{
"filename": "demo_FEA_loads_static.py",
"repo_name": "projectchrono/chrono",
"repo_path": "chrono_extracted/chrono-main/src/demos/python/fea/demo_FEA_loads_static.py",
"type": "Python"
} | # =============================================================================
# PROJECT CHRONO - http://projectchrono.org
#
# Copyright (c) 2014 projectchrono.org
# All rights reserved.
#
# Use of this source code is governed by a BSD-style license that can be found
# in the LICENSE file at the top level of the distr... | projectchronoREPO_NAMEchronoPATH_START.@chrono_extracted@chrono-main@src@demos@python@fea@demo_FEA_loads_static.py@.PATH_END.py |
{
"filename": "utils.ipynb",
"repo_name": "NOAO/nat-nb",
"repo_path": "nat-nb_extracted/nat-nb-master/utils.ipynb",
"type": "Jupyter Notebook"
} | [](http://www.aphotomarine.com/snail_euspira_catena_necklace_shell.html)
## Goals
This notebook is intended to be loaded (using %run) into other notebooks in the same directory. It provides common configuration variables to the notebooks that load it. It is used... | NOAOREPO_NAMEnat-nbPATH_START.@nat-nb_extracted@nat-nb-master@utils.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "brinckmann/montepython_public",
"repo_path": "montepython_public_extracted/montepython_public-master/montepython/likelihoods/bao_boss_aniso_gauss_approx/__init__.py",
"type": "Python"
} | import os
import numpy as np
import warnings
import montepython.io_mp as io_mp
from montepython.likelihood_class import Likelihood
import scipy.constants as conts
class bao_boss_aniso_gauss_approx(Likelihood):
# initialization routine
def __init__(self, path, data, command_line):
Likelihood.__init__... | brinckmannREPO_NAMEmontepython_publicPATH_START.@montepython_public_extracted@montepython_public-master@montepython@likelihoods@bao_boss_aniso_gauss_approx@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "deepmind/optax",
"repo_path": "optax_extracted/optax-main/optax/contrib/__init__.py",
"type": "Python"
} | # Copyright 2021 DeepMind Technologies Limited. 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 ... | deepmindREPO_NAMEoptaxPATH_START.@optax_extracted@optax-main@optax@contrib@__init__.py@.PATH_END.py |
{
"filename": "module.py",
"repo_name": "guillochon/MOSFiT",
"repo_path": "MOSFiT_extracted/MOSFiT-master/mosfit/modules/module.py",
"type": "Python"
} | """Definitions for the ``Module`` class."""
import json
from collections import OrderedDict
import numpy as np
from mosfit.printer import Printer
class Module(object):
"""Base ``Module`` class."""
_REFERENCES = []
def __init__(self, name, model, **kwargs):
"""Initialize module.
This i... | guillochonREPO_NAMEMOSFiTPATH_START.@MOSFiT_extracted@MOSFiT-master@mosfit@modules@module.py@.PATH_END.py |
{
"filename": "_align.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/splom/hoverlabel/_align.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="align", parent_name="splom.hoverlabel", **kwargs):
super(AlignValidator, 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@splom@hoverlabel@_align.py@.PATH_END.py |
{
"filename": "_diffuse.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/isosurface/lighting/_diffuse.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class DiffuseValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="diffuse", parent_name="isosurface.lighting", **kwargs
):
super(DiffuseValidator, self).__init__(
plotly_name=plotly_name,
parent_na... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@isosurface@lighting@_diffuse.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scikit-learn/py2/sklearn/utils/setup.py",
"type": "Python"
} | import os
from os.path import join
from sklearn._build_utils import get_blas_info
def configuration(parent_package='', top_path=None):
import numpy
from numpy.distutils.misc_util import Configuration
config = Configuration('utils', parent_package, top_path)
config.add_subpackage('sparsetools')
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scikit-learn@py2@sklearn@utils@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/streamtube/hoverlabel/font/_lineposition.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LinepositionValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(
self,
plotly_name="lineposition",
parent_name="streamtube.hoverlabel.font",
**kwargs,
):
super(LinepositionValidator, self).__init__(
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@streamtube@hoverlabel@font@_lineposition.py@.PATH_END.py |
{
"filename": "sis_truncate.py",
"repo_name": "lenstronomy/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/lenstronomy/LensModel/Profiles/sis_truncate.py",
"type": "Python"
} | __author__ = "sibirrer"
import numpy as np
from lenstronomy.LensModel.Profiles.base_profile import LensProfileBase
__all__ = ["SIS_truncate"]
class SIS_truncate(LensProfileBase):
"""This class contains the function and the derivatives of the Singular Isothermal
Sphere."""
param_names = ["theta_E", "r_t... | lenstronomyREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@lenstronomy@LensModel@Profiles@sis_truncate.py@.PATH_END.py |
{
"filename": "cartesian.py",
"repo_name": "desihub/LSS",
"repo_path": "LSS_extracted/LSS-main/py/LSS/DESI_ke/cartesian.py",
"type": "Python"
} | import numpy as np
from cosmo import cosmo
from scipy.spatial.transform import Rotation as R
def rotate(ras, decs, pos):
phi = np.radians(ras)
theta = np.pi/2. - np.radians(decs)
mean_phi = np.median(phi)
mean_theta = np.median(theta)
rot = R.from_rotvec(-mean_phi * np.... | desihubREPO_NAMELSSPATH_START.@LSS_extracted@LSS-main@py@LSS@DESI_ke@cartesian.py@.PATH_END.py |
{
"filename": "base.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/chains/pebblo_retrieval/base.py",
"type": "Python"
} | """
Pebblo Retrieval Chain with Identity & Semantic Enforcement for question-answering
against a vector database.
"""
import datetime
import inspect
import logging
from importlib.metadata import version
from typing import Any, Dict, List, Optional
from langchain.chains.base import Chain
from langchain.chains.combine_... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@chains@pebblo_retrieval@base.py@.PATH_END.py |
{
"filename": "test_variablepsf.py",
"repo_name": "quatrope/ProperImage",
"repo_path": "ProperImage_extracted/ProperImage-master/drafts/test_variablepsf.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# test_recoverstats.py
#
# Copyright 2016 Bruno S <bruno.sanchez.63@gmail.com>
#
import os
import shlex
import subprocess
import sys
import numpy as np
import matplotlib.pyplot as plt
from properimage import simtools
from properimage import propercoadd as pc
from pro... | quatropeREPO_NAMEProperImagePATH_START.@ProperImage_extracted@ProperImage-master@drafts@test_variablepsf.py@.PATH_END.py |
{
"filename": "test_repeat.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/indexes/datetimes/methods/test_repeat.py",
"type": "Python"
} | import numpy as np
import pytest
from pandas import (
DatetimeIndex,
Timestamp,
date_range,
)
import pandas._testing as tm
class TestRepeat:
def test_repeat_range(self, tz_naive_fixture):
rng = date_range("1/1/2000", "1/1/2001")
result = rng.repeat(5)
assert result.freq is No... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@indexes@datetimes@methods@test_repeat.py@.PATH_END.py |
{
"filename": "dist.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/setuptools/py3/setuptools/_distutils/dist.py",
"type": "Python"
} | """distutils.dist
Provides the Distribution class, which represents the module distribution
being built/installed/distributed.
"""
import contextlib
import logging
import os
import pathlib
import re
import sys
from collections.abc import Iterable
from email import message_from_file
from ._vendor.packaging.utils impo... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@setuptools@py3@setuptools@_distutils@dist.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "mit-ll/spacegym-kspdg",
"repo_path": "spacegym-kspdg_extracted/spacegym-kspdg-main/src/kspdg/private_src/python3_12/Windows_x86_64/kspdg_envs/lbg1/__init__.py",
"type": "Python"
} | # Pyarmor 8.5.11 (trial), 000000, non-profits, 2024-12-09T10:19:38.025174
from kspdg.private_src.python3_12.Windows_x86_64.pyarmor_runtime_000000 import __pyarmor__
__pyarmor__(__name__, __file__, b'PY000000\x00\x03\x0c\x00\xcb\r\r\n\x80\x00\x01\x00\x08\x00\x00\x00\x04\x00\x00\x00@\x00\x00\x00\x89\x00\x00\x00\x12\t\x04... | mit-llREPO_NAMEspacegym-kspdgPATH_START.@spacegym-kspdg_extracted@spacegym-kspdg-main@src@kspdg@private_src@python3_12@Windows_x86_64@kspdg_envs@lbg1@__init__.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "vpelgrims/Bisp_1",
"repo_path": "Bisp_1_extracted/Bisp_1-main/README.md",
"type": "Markdown"
} | ***
BISP-1
Bayesian Inference of Starlight Polarization in 1D
***
``BISP-1`` implements the Bayesian method for tomographic decomposition of the plane-of-sky orientation of the magnetic field with the use of stellar polarimetry and distance developed in [Pelgrims et al., 2022, A&A, (submitted)](https://arxiv.org/ab... | vpelgrimsREPO_NAMEBisp_1PATH_START.@Bisp_1_extracted@Bisp_1-main@README.md@.PATH_END.py |
{
"filename": "data_download.py",
"repo_name": "EoRImaging/FHD",
"repo_path": "FHD_extracted/FHD-master/data_download.py",
"type": "Python"
} | #!/usr/bin/python
import os
from astropy.time import Time
from astropy.io import fits
import psycopg2
import sys
import socket
from optparse import OptionParser
import subprocess
import datetime
import time
import zipfile
import numpy as np
#********************************
#Script that downloads GPU box files, runs ... | EoRImagingREPO_NAMEFHDPATH_START.@FHD_extracted@FHD-master@data_download.py@.PATH_END.py |
{
"filename": "info_theory.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/stats/info_theory.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
This module contains simple functions for model selection.
"""
from __future__ import annotations
import numpy as np
__all__ = [
"akaike_info_criterion",
"akaike_info_criterion_lsq",
"bayesian_info_criterion",
"bayesian_info_criteri... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@stats@info_theory.py@.PATH_END.py |
{
"filename": "special_parse.py",
"repo_name": "gmbrandt/HTOF",
"repo_path": "HTOF_extracted/HTOF-main/htof/special_parse.py",
"type": "Python"
} | import numpy as np
import warnings
import pkg_resources
from pandas import DataFrame, Series
from shutil import copy
from copy import deepcopy
from astropy.time import Time
from astropy.coordinates import Angle
from astropy import units as u
from scipy import stats, special
from astropy.table import Table
from htof.fi... | gmbrandtREPO_NAMEHTOFPATH_START.@HTOF_extracted@HTOF-main@htof@special_parse.py@.PATH_END.py |
{
"filename": "lonlat.py",
"repo_name": "NeoGeographyToolkit/StereoPipeline",
"repo_path": "StereoPipeline_extracted/StereoPipeline-master/graveyard/ngt_utils/lonlat.py",
"type": "Python"
} | ## __BEGIN_LICENSE__
## Copyright (C) 2006-2010 United States Government as represented by
## the Administrator of the National Aeronautics and Space Administration
## All Rights Reserved.
## __END_LICENSE__
import sys
import math
import numpy
def w2e_deg(lon):
'''Convert positive-west longitude to positive-east ... | NeoGeographyToolkitREPO_NAMEStereoPipelinePATH_START.@StereoPipeline_extracted@StereoPipeline-master@graveyard@ngt_utils@lonlat.py@.PATH_END.py |
{
"filename": "activations.py",
"repo_name": "fchollet/keras",
"repo_path": "keras_extracted/keras-master/keras/src/activations/activations.py",
"type": "Python"
} | from keras.src import backend
from keras.src import ops
from keras.src.api_export import keras_export
@keras_export("keras.activations.relu")
def relu(x, negative_slope=0.0, max_value=None, threshold=0.0):
"""Applies the rectified linear unit activation function.
With default values, this returns the standar... | fcholletREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@activations@activations.py@.PATH_END.py |
{
"filename": "parse.py",
"repo_name": "Caltech-IPAC/Montage",
"repo_path": "Montage_extracted/Montage-main/python/MontagePy/macos_wheels/parse.py",
"type": "Python"
} | import os
import glob
import json
from jinja2 import Template
MONTAGELIB = os.path.join('Montage', 'MontageLib')
CTYPE = {}
CTYPE['int'] = 'int '
CTYPE['int*'] = 'int *'
CTYPE['integer'] = 'int '
CTYPE['char'] = 'char '
CTYPE['string'] = 'char *'
CTYPE['string*'] = 'char *'
CTYPE['boolean'] = 'int '
CTYPE['boolean*']... | Caltech-IPACREPO_NAMEMontagePATH_START.@Montage_extracted@Montage-main@python@MontagePy@macos_wheels@parse.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "jotaylor/acdc-hst",
"repo_path": "acdc-hst_extracted/acdc-hst-main/src/acdc/data/__init__.py",
"type": "Python"
} | jotaylorREPO_NAMEacdc-hstPATH_START.@acdc-hst_extracted@acdc-hst-main@src@acdc@data@__init__.py@.PATH_END.py | |
{
"filename": "trackzone.py",
"repo_name": "ultralytics/ultralytics",
"repo_path": "ultralytics_extracted/ultralytics-main/ultralytics/solutions/trackzone.py",
"type": "Python"
} | # Ultralytics YOLO 🚀, AGPL-3.0 license
import cv2
import numpy as np
from ultralytics.solutions.solutions import BaseSolution
from ultralytics.utils.plotting import Annotator, colors
class TrackZone(BaseSolution):
"""
A class to manage region-based object tracking in a video stream.
This class extends... | ultralyticsREPO_NAMEultralyticsPATH_START.@ultralytics_extracted@ultralytics-main@ultralytics@solutions@trackzone.py@.PATH_END.py |
{
"filename": "driver.py",
"repo_name": "radiocosmology/driftscan",
"repo_path": "driftscan_extracted/driftscan-master/examples/disharray/driver.py",
"type": "Python"
} | from drift.core import beamtransfer, manager
from drift.pipeline import timestream
from simplearray import DishArray
### Make the analysis products for the telescope. This examples focuses only
### on the m-mode products for mapmaking
# Create telescope object and set zenith
tel = DishArray(latitude=30.0, longitude=... | radiocosmologyREPO_NAMEdriftscanPATH_START.@driftscan_extracted@driftscan-master@examples@disharray@driver.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/partners/ollama/tests/unit_tests/__init__.py",
"type": "Python"
} | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@partners@ollama@tests@unit_tests@__init__.py@.PATH_END.py | |
{
"filename": "plot_violin.py",
"repo_name": "vblanka24/Ba_star_classification_PaperIII",
"repo_path": "Ba_star_classification_PaperIII_extracted/Ba_star_classification_PaperIII-main/plotting_resids_correls/plot_violin.py",
"type": "Python"
} | import sys, os
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from collections import defaultdict
import seaborn as sns
import numpy as np
import pandas as pd
import seaborn as sns
# from process_data_lib import *
from processplot_data_lib import *
from plot_lib import *
allt... | vblanka24REPO_NAMEBa_star_classification_PaperIIIPATH_START.@Ba_star_classification_PaperIII_extracted@Ba_star_classification_PaperIII-main@plotting_resids_correls@plot_violin.py@.PATH_END.py |
{
"filename": "_maxpoints.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattergl/stream/_maxpoints.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="maxpoints", parent_name="scattergl.stream", **kwargs
):
super(MaxpointsValidator, self).__init__(
plotly_name=plotly_name,
parent... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattergl@stream@_maxpoints.py@.PATH_END.py |
{
"filename": "compiler.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/prompt-toolkit/py3/prompt_toolkit/contrib/regular_languages/compiler.py",
"type": "Python"
} | r"""
Compiler for a regular grammar.
Example usage::
# Create and compile grammar.
p = compile('add \s+ (?P<var1>[^\s]+) \s+ (?P<var2>[^\s]+)')
# Match input string.
m = p.match('add 23 432')
# Get variables.
m.variables().get('var1') # Returns "23"
m.variables().get('var2') # Return... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@prompt-toolkit@py3@prompt_toolkit@contrib@regular_languages@compiler.py@.PATH_END.py |
{
"filename": "driver.py",
"repo_name": "EmmanuelSchaan/HaloGen",
"repo_path": "HaloGen_extracted/HaloGen-master/driver.py",
"type": "Python"
} | import universe
reload(universe)
from universe import *
import mass_function
reload(mass_function)
from mass_function import *
import profile
reload(profile)
from profile import *
import i_halo_model
reload(i_halo_model)
from i_halo_model import *
import p3d
reload(p3d)
from p3d import *
import projection_kernel
r... | EmmanuelSchaanREPO_NAMEHaloGenPATH_START.@HaloGen_extracted@HaloGen-master@driver.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "astropy/reproject",
"repo_path": "reproject_extracted/reproject-main/reproject/adaptive/tests/__init__.py",
"type": "Python"
} | astropyREPO_NAMEreprojectPATH_START.@reproject_extracted@reproject-main@reproject@adaptive@tests@__init__.py@.PATH_END.py | |
{
"filename": "test_stub.py",
"repo_name": "gotsunami/Youpi",
"repo_path": "Youpi_extracted/Youpi-master/terapix/unittesting/test_stub.py",
"type": "Python"
} | """
Tests for the Condor Stub library
"""
import unittest, types, time
import base64, marshal, sys
from mock import Mock
#
from terapix.lib.cluster import condor
from terapix.lib.cluster.stub import StubCondorQueue, StubCondorClient
from terapix.lib.cluster.condor import CondorJob
#
class StubCondorQueueTest(unittest... | gotsunamiREPO_NAMEYoupiPATH_START.@Youpi_extracted@Youpi-master@terapix@unittesting@test_stub.py@.PATH_END.py |
{
"filename": "_itertools.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/setuptools/py3/pkg_resources/_vendor/importlib_resources/_itertools.py",
"type": "Python"
} | from itertools import filterfalse
from typing import (
Callable,
Iterable,
Iterator,
Optional,
Set,
TypeVar,
Union,
)
# Type and type variable definitions
_T = TypeVar('_T')
_U = TypeVar('_U')
def unique_everseen(
iterable: Iterable[_T], key: Optional[Callable[[_T], _U]] = None
) -> ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@setuptools@py3@pkg_resources@_vendor@importlib_resources@_itertools.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/geometry/__init__.py",
"type": "Python"
} | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@geometry@__init__.py@.PATH_END.py | |
{
"filename": "__init__.py",
"repo_name": "gotsunami/Youpi",
"repo_path": "Youpi_extracted/Youpi-master/terapix/youpi/templatetags/__init__.py",
"type": "Python"
} | gotsunamiREPO_NAMEYoupiPATH_START.@Youpi_extracted@Youpi-master@terapix@youpi@templatetags@__init__.py@.PATH_END.py | |
{
"filename": "test_spectrum.py",
"repo_name": "gammapy/gammapy",
"repo_path": "gammapy_extracted/gammapy-main/gammapy/datasets/tests/test_spectrum.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import pytest
import numpy as np
from numpy.testing import assert_allclose, assert_equal
import astropy.units as u
from astropy.io import fits
from astropy.table import Table
from astropy.time import Time
from astropy.utils.exceptions import AstropyUserWar... | gammapyREPO_NAMEgammapyPATH_START.@gammapy_extracted@gammapy-main@gammapy@datasets@tests@test_spectrum.py@.PATH_END.py |
{
"filename": "_data.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/sparse/_data.py",
"type": "Python"
} | """Base class for sparse matrice with a .data attribute
subclasses must provide a _with_data() method that
creates a new matrix with the same sparsity pattern
as self but with a different data array
"""
import math
import numpy as np
from ._base import _spbase, sparray, _ufuncs_with_fixed_point_at_zero
... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@sparse@_data.py@.PATH_END.py |
{
"filename": "_traceref.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/histogram/error_y/_traceref.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="traceref", parent_name="histogram.error_y", **kwargs
):
super(TracerefValidator, self).__init__(
plotly_name=plotly_name,
parent_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@histogram@error_y@_traceref.py@.PATH_END.py |
{
"filename": "paper.md",
"repo_name": "steven-murray/powerbox",
"repo_path": "powerbox_extracted/powerbox-main/paper/paper.md",
"type": "Markdown"
} | ---
title: 'powerbox: A Python package for creating structured fields with isotropic power spectra'
tags:
- Python
- astronomy
- power spectrum
- signal analysis
authors:
- name: Steven G. Murray
orcid: 0000-0003-3059-3823
affiliation: 1, 2
affiliations:
- name: International Centre for Radio Astrono... | steven-murrayREPO_NAMEpowerboxPATH_START.@powerbox_extracted@powerbox-main@paper@paper.md@.PATH_END.py |
{
"filename": "copy_injection_recovery.py",
"repo_name": "ThibeauWouters/TurboPE-BNS",
"repo_path": "TurboPE-BNS_extracted/TurboPE-BNS-main/injections/outdir_NRTv2/injection_42/copy_injection_recovery.py",
"type": "Python"
} | """
Idea: try different learning rate schemes to try and fix the injections
"""
import psutil
p = psutil.Process()
p.cpu_affinity([0])
import os
os.environ['CUDA_VISIBLE_DEVICES'] = "3"
os.environ["XLA_PYTHON_CLIENT_MEM_FRACTION"] = "0.10"
import numpy as np
import argparse
# Regular imports
import argparse
import cop... | ThibeauWoutersREPO_NAMETurboPE-BNSPATH_START.@TurboPE-BNS_extracted@TurboPE-BNS-main@injections@outdir_NRTv2@injection_42@copy_injection_recovery.py@.PATH_END.py |
{
"filename": "test_apply_background.py",
"repo_name": "spacetelescope/jwst",
"repo_path": "jwst_extracted/jwst-main/jwst/mrs_imatch/tests/test_apply_background.py",
"type": "Python"
} | """
Unit test for mrs_imatch apply background
"""
import pytest
from stdatamodels.jwst import datamodels
from jwst.datamodels import ModelContainer
from jwst.assign_wcs import AssignWcsStep
from jwst.mrs_imatch.mrs_imatch_step import apply_background_2d
import numpy as np
wcsinfo = {
'dec_ref': 0.0,
'ra_ref... | spacetelescopeREPO_NAMEjwstPATH_START.@jwst_extracted@jwst-main@jwst@mrs_imatch@tests@test_apply_background.py@.PATH_END.py |
{
"filename": "log.py",
"repo_name": "purmortal/galcraft",
"repo_path": "galcraft_extracted/galcraft-main/GalCraft/modules/log.py",
"type": "Python"
} | import logging
class Logger:
def __init__(self, logfile, logger=None, level=logging.INFO, mode='a'):
self.logger = logging.getLogger(logger)
self.logger.propagate = False
self.logger.setLevel(level)
fh = logging.FileHandler(logfile, mode=mode, encoding='utf-8')
fh.setLevel(... | purmortalREPO_NAMEgalcraftPATH_START.@galcraft_extracted@galcraft-main@GalCraft@modules@log.py@.PATH_END.py |
{
"filename": "profiler.py",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/jax/experimental/mosaic/gpu/profiler.py",
"type": "Python"
} | # Copyright 2024 The JAX 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 law... | googleREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@experimental@mosaic@gpu@profiler.py@.PATH_END.py |
{
"filename": "multiprocessing.py",
"repo_name": "adrn/schwimmbad",
"repo_path": "schwimmbad_extracted/schwimmbad-main/src/schwimmbad/multiprocessing.py",
"type": "Python"
} | # type: ignore
import functools
import signal
import multiprocess
from multiprocess.pool import Pool
__all__ = ["MultiPool"]
def _initializer_wrapper(actual_initializer, *rest):
"""
We ignore SIGINT. It's up to our parent to kill us in the typical
condition of this arising from ``^C`` on a terminal. If ... | adrnREPO_NAMEschwimmbadPATH_START.@schwimmbad_extracted@schwimmbad-main@src@schwimmbad@multiprocessing.py@.PATH_END.py |
{
"filename": "bindata.py",
"repo_name": "scottransom/presto",
"repo_path": "presto_extracted/presto-master/python/binopttest/bindata.py",
"type": "Python"
} | from future import standard_library
standard_library.install_aliases()
from builtins import range
def catvar(col):
ret = []
global a, b, c, d, e
for i in range(shape(a)[0]):
ret.append(a[i][col])
for i in range(shape(b)[0]):
ret.append(b[i][col])
for i in range(shape(c)[0]):
... | scottransomREPO_NAMEprestoPATH_START.@presto_extracted@presto-master@python@binopttest@bindata.py@.PATH_END.py |
{
"filename": "hugging_face_model.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/document_loaders/hugging_face_model.py",
"type": "Python"
} | from typing import Iterator, List, Optional
import requests
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class HuggingFaceModelLoader(BaseLoader):
"""
Load model information from `Hugging Face Hub`, including README content.
This loader ... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@document_loaders@hugging_face_model.py@.PATH_END.py |
{
"filename": "mathutils.py",
"repo_name": "cmbant/CAMB",
"repo_path": "CAMB_extracted/CAMB-master/camb/mathutils.py",
"type": "Python"
} | """
This module contains some fast utility functions that are useful in the same contexts as camb. They are entirely
independent of the main camb code.
"""
from ctypes import c_int, c_double, c_bool, POINTER
from .baseconfig import camblib, numpy_1d, numpy_2d, numpy_3d
import numpy as np
_chi2 = camblib.__mathutils_... | cmbantREPO_NAMECAMBPATH_START.@CAMB_extracted@CAMB-master@camb@mathutils.py@.PATH_END.py |
{
"filename": "_iconsize.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/map/layer/symbol/_iconsize.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class IconsizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="iconsize", parent_name="layout.map.layer.symbol", **kwargs
):
super(IconsizeValidator, self).__init__(
plotly_name=plotly_name,
pa... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@map@layer@symbol@_iconsize.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/treemap/marker/colorbar/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._yref import YrefValidator
from ._ypad import YpadValidator
from ._yanchor import YanchorValidator
from ._y import YValidator
from ._xref import XrefValidator
from ._xpad import XpadValidator
fr... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@treemap@marker@colorbar@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "LSSTDESC/CCL",
"repo_path": "CCL_extracted/CCL-master/pyccl/tests/__init__.py",
"type": "Python"
} | LSSTDESCREPO_NAMECCLPATH_START.@CCL_extracted@CCL-master@pyccl@tests@__init__.py@.PATH_END.py | |
{
"filename": "_ticklabelposition.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/barpolar/marker/colorbar/_ticklabelposition.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TicklabelpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="ticklabelposition",
parent_name="barpolar.marker.colorbar",
**kwargs
):
super(TicklabelpositionValidator, self).__ini... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@barpolar@marker@colorbar@_ticklabelposition.py@.PATH_END.py |
{
"filename": "binomialFPEffectiveness.ipynb",
"repo_name": "stevepur/DR25-occurrence-public",
"repo_path": "DR25-occurrence-public_extracted/DR25-occurrence-public-main/GKbaseline/binomialFPEffectiveness.ipynb",
"type": "Jupyter Notebook"
} | Reliability is given by
$$ R = \frac{N_{\mathrm{truePC}}}{N_{\mathrm{obsPC}}} = 1 - \frac{N_{\mathrm{obsFP}}}{N_{\mathrm{obsPC}}} \left( \frac{1 - E}{E} \right) = 1 - \frac{F_{\mathrm{obsFP}}}{F_{\mathrm{obsPC}}} \left( \frac{1 - E}{E} \right) $$
where $E = N_{\mathrm{obsFP}}/N_{\mathrm{trueFP}}$ is the false positiv... | stevepurREPO_NAMEDR25-occurrence-publicPATH_START.@DR25-occurrence-public_extracted@DR25-occurrence-public-main@GKbaseline@binomialFPEffectiveness.ipynb@.PATH_END.py |
{
"filename": "_xpad.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattermap/marker/colorbar/_xpad.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="xpad", parent_name="scattermap.marker.colorbar", **kwargs
):
super(XpadValidator, self).__init__(
plotly_name=plotly_name,
parent_name... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattermap@marker@colorbar@_xpad.py@.PATH_END.py |
{
"filename": "SkyBrightness.py",
"repo_name": "ZwickyTransientFacility/ztf_sim",
"repo_path": "ztf_sim_extracted/ztf_sim-master/ztf_sim/SkyBrightness.py",
"type": "Python"
} | """Sky brightness model."""
import sklearn
from sklearn import model_selection, ensemble, preprocessing, pipeline
from sklearn import neighbors, svm, linear_model
from sklearn_pandas import DataFrameMapper
import joblib
import xgboost as xgb
import pandas as pd
import numpy as np
from .constants import FILTER_NAME_TO_... | ZwickyTransientFacilityREPO_NAMEztf_simPATH_START.@ztf_sim_extracted@ztf_sim-master@ztf_sim@SkyBrightness.py@.PATH_END.py |
{
"filename": "core.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/matplotlib/py2/matplotlib/style/core.py",
"type": "Python"
} | from __future__ import absolute_import, division, print_function
import six
"""
Core functions and attributes for the matplotlib style library:
``use``
Select style sheet to override the current matplotlib settings.
``context``
Context manager to use a style sheet temporarily.
``available``
List availabl... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@matplotlib@py2@matplotlib@style@core.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "nanograv/enterprise_extensions",
"repo_path": "enterprise_extensions_extracted/enterprise_extensions-master/README.md",
"type": "Markdown"
} | # enterprise_extensions
A set of extensions, utilities, and scripts for the [enterprise](https://github.com/nanograv/enterprise) PTA analysis code.
## installation
`enterprise_extensions` is not yet available on the Python Package Index (PyPI),
but you can still install it directly from GitHub using `pip`.
To install ... | nanogravREPO_NAMEenterprise_extensionsPATH_START.@enterprise_extensions_extracted@enterprise_extensions-master@README.md@.PATH_END.py |
{
"filename": "wfAlgorithmFactory.py",
"repo_name": "lsst-ts/ts_wep",
"repo_path": "ts_wep_extracted/ts_wep-main/python/lsst/ts/wep/estimation/wfAlgorithmFactory.py",
"type": "Python"
} | # This file is part of ts_wep.
#
# Developed for the LSST Telescope and Site Systems.
# This product includes software developed by the LSST Project
# (https://www.lsst.org).
# See the COPYRIGHT file at the top-level directory of this distribution
# for details of code ownership.
#
# This program is free software: you ... | lsst-tsREPO_NAMEts_wepPATH_START.@ts_wep_extracted@ts_wep-main@python@lsst@ts@wep@estimation@wfAlgorithmFactory.py@.PATH_END.py |
{
"filename": "_tickmode.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/histogram2dcontour/colorbar/_tickmode.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="tickmode",
parent_name="histogram2dcontour.colorbar",
**kwargs
):
super(TickmodeValidator, self).__init__(
plotly_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@histogram2dcontour@colorbar@_tickmode.py@.PATH_END.py |
{
"filename": "numpyro_ext.py",
"repo_name": "markfortune/luas",
"repo_path": "luas_extracted/luas-main/src/luas/numpyro_ext.py",
"type": "Python"
} | import numpyro.distributions as dist
from numpyro.distributions.util import promote_shapes, validate_sample
from jax import lax
__all__ = [
"LuasNumPyro",
]
class LuasNumPyro(dist.Distribution):
"""Custom ``NumPyro`` distribution which allows a ``luas.GPClass.GP`` object to be used with
``NumPyro``.
... | markfortuneREPO_NAMEluasPATH_START.@luas_extracted@luas-main@src@luas@numpyro_ext.py@.PATH_END.py |
{
"filename": "_ygap.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/heatmap/_ygap.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class YgapValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="ygap", parent_name="heatmap", **kwargs):
super(YgapValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_ty... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@heatmap@_ygap.py@.PATH_END.py |
{
"filename": "CompositeLikelihood.py",
"repo_name": "igomezv/simplemc_tests",
"repo_path": "simplemc_tests_extracted/simplemc_tests-main/simplemc/likelihoods/CompositeLikelihood.py",
"type": "Python"
} |
from simplemc.likelihoods.BaseLikelihood import BaseLikelihood
import scipy as sp
class CompositeLikelihood(BaseLikelihood):
def __init__(self, llist=[]):
"""
This thing takes likelihoods and cooks one
which is a composite of many.
Parameters
----------
llist
... | igomezvREPO_NAMEsimplemc_testsPATH_START.@simplemc_tests_extracted@simplemc_tests-main@simplemc@likelihoods@CompositeLikelihood.py@.PATH_END.py |
{
"filename": "test_upfirdn.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/scipy/signal/tests/test_upfirdn.py",
"type": "Python"
} | # Code adapted from "upfirdn" python library with permission:
#
# Copyright (c) 2009, Motorola, Inc
#
# All Rights Reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must re... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@scipy@signal@tests@test_upfirdn.py@.PATH_END.py |
{
"filename": "Composite_model.ipynb",
"repo_name": "andreatramacere/jetset",
"repo_path": "jetset_extracted/jetset-master/doc/documentation_notebooks/notebooks/composite_model/Composite_model.ipynb",
"type": "Jupyter Notebook"
} | .. _composite_models:
# Composite Models and depending pars
```python
from jetset.jet_model import Jet
from jetset.plot_sedfit import PlotSED
from jetset.model_manager import FitModel
```
Composite models allow combining different models, such as Jet, and templates, including additive or multiplicative models and gi... | andreatramacereREPO_NAMEjetsetPATH_START.@jetset_extracted@jetset-master@doc@documentation_notebooks@notebooks@composite_model@Composite_model.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "SPARTA-dev/SPARTA",
"repo_path": "SPARTA_extracted/SPARTA-master/sparta/UNICOR/__init__.py",
"type": "Python"
} | from .Spectrum import Spectrum
from .Template import Template
from .CCF1d import CCF1d | SPARTA-devREPO_NAMESPARTAPATH_START.@SPARTA_extracted@SPARTA-master@sparta@UNICOR@__init__.py@.PATH_END.py |
{
"filename": "eos.py",
"repo_name": "geodynamics/burnman",
"repo_path": "burnman_extracted/burnman-main/burnman/tools/eos.py",
"type": "Python"
} | # This file is part of BurnMan - a thermoelastic and thermodynamic toolkit for
# the Earth and Planetary Sciences
# Copyright (C) 2012 - 2021 by the BurnMan team, released under the GNU
# GPL v2 or later.
import numpy as np
import warnings
from scipy.linalg import logm
def check_eos_consistency(
m,
P=1.0e9,
... | geodynamicsREPO_NAMEburnmanPATH_START.@burnman_extracted@burnman-main@burnman@tools@eos.py@.PATH_END.py |
{
"filename": "_histogram2dcontour.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/template/data/_histogram2dcontour.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class Histogram2DcontourValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
def __init__(
self,
plotly_name="histogram2dcontour",
parent_name="layout.template.data",
**kwargs
):
super(Histogram2DcontourValidator, self).__i... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@template@data@_histogram2dcontour.py@.PATH_END.py |
{
"filename": "_size.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatter/unselected/marker/_size.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="size", parent_name="scatter.unselected.marker", **kwargs
):
super(SizeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatter@unselected@marker@_size.py@.PATH_END.py |
{
"filename": "_lineposition.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattergeo/hoverlabel/font/_lineposition.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LinepositionValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(
self,
plotly_name="lineposition",
parent_name="scattergeo.hoverlabel.font",
**kwargs,
):
super(LinepositionValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattergeo@hoverlabel@font@_lineposition.py@.PATH_END.py |
{
"filename": "redcal_inspect_2458086.ipynb",
"repo_name": "HERA-Team/H1C_IDR3_Notebooks",
"repo_path": "H1C_IDR3_Notebooks-main/redcal_inspect/redcal_inspect_2458086.ipynb",
"type": "Jupyter Notebook"
} | # Stage 2 Redundant Calibration Nightly Notebook
**Josh Dillon**, Last Revised 7/30/20
```python
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
from hera_cal import io, redcal, apply_cal
from hera_qm.metrics_io import load_metric_file
import glob
import os
from copy import deepcopy
import inspe... | HERA-TeamREPO_NAMEH1C_IDR3_NotebooksPATH_START.@H1C_IDR3_Notebooks-main@redcal_inspect@redcal_inspect_2458086.ipynb@.PATH_END.py |
{
"filename": "talk_plots.ipynb",
"repo_name": "ojhall94/halletal2019",
"repo_path": "halletal2019_extracted/halletal2019-master/code/Scripts/talk_plots.ipynb",
"type": "Jupyter Notebook"
} | ```python
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
import matplotlib
from mpl_toolkits.axes_grid1.inset_locator import inset_axes, mark_inset
from mpl_toolkits.axes_grid1.colorbar import colorbar
matplotlib.rcParams['text.usetex'] = False
sns.set_palette('colorblind',... | ojhall94REPO_NAMEhalletal2019PATH_START.@halletal2019_extracted@halletal2019-master@code@Scripts@talk_plots.ipynb@.PATH_END.py |
{
"filename": "name.py",
"repo_name": "jkluter/MLG",
"repo_path": "MLG_extracted/MLG-master/name.py",
"type": "Python"
} | import numpy as np
__all__ = ['name']
def name(event_id, no_name = True, silent = False):
'''------------------------------------------------------------
Description:
---------------------------------------------------------------
Input:
---------------------------------------------------------------
Output:... | jkluterREPO_NAMEMLGPATH_START.@MLG_extracted@MLG-master@name.py@.PATH_END.py |
{
"filename": "_tickformatstopdefaults.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/scene/yaxis/_tickformatstopdefaults.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickformatstopdefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self,
plotly_name="tickformatstopdefaults",
parent_name="layout.scene.yaxis",
**kwargs,
):
super(TickformatstopdefaultsValidator, sel... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@scene@yaxis@_tickformatstopdefaults.py@.PATH_END.py |
{
"filename": "main.py",
"repo_name": "cdslaborg/paramonte",
"repo_path": "paramonte_extracted/paramonte-main/example/fortran/pm_distExpGamma/getExpGammaLogPDF/main.py",
"type": "Python"
} | #!/usr/bin/env python
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import glob
import sys
fontsize = 17
marker ={ "CK" : "-"
, "IK" : "."
, "RK" : "-"
}
xlab = { "CK" : "X ( real/imaginary components )"
, "IK" : "X ( integer-valued )"
, "RK" : "X ( r... | cdslaborgREPO_NAMEparamontePATH_START.@paramonte_extracted@paramonte-main@example@fortran@pm_distExpGamma@getExpGammaLogPDF@main.py@.PATH_END.py |
{
"filename": "physics.py",
"repo_name": "johannesulf/dsigma",
"repo_path": "dsigma_extracted/dsigma-main/dsigma/physics.py",
"type": "Python"
} | """Physics functions for the dsigma pipeline."""
import numpy as np
from astropy import constants as c
from astropy import units as u
from scipy.special import jv, jn_zeros
from astropy.cosmology import FlatLambdaCDM
__all__ = ['mpc_per_degree', 'projection_angle', 'critical_surface_density',
'effective_c... | johannesulfREPO_NAMEdsigmaPATH_START.@dsigma_extracted@dsigma-main@dsigma@physics.py@.PATH_END.py |
{
"filename": "nse.py",
"repo_name": "nuc-astro/winnet",
"repo_path": "winnet_extracted/winnet-master/test/nse.py",
"type": "Python"
} | #!/usr/bin/env python
t.checklist = { \
'finab.dat' : { 'method':'default', 'tolerance':2.0e-4 }, \
}
t.program = t.basedir + "/bin/winnet"
t.testdir = t.basedir + "/test/" + t.testname
t.logfile = t.testdir + ".log"
t.arcfile = t.testdir + ".tar.gz"
| nuc-astroREPO_NAMEwinnetPATH_START.@winnet_extracted@winnet-master@test@nse.py@.PATH_END.py |
{
"filename": "_tracerefminus.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatter/error_y/_tracerefminus.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TracerefminusValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="tracerefminus", parent_name="scatter.error_y", **kwargs
):
super(TracerefminusValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatter@error_y@_tracerefminus.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "joezuntz/cosmosis",
"repo_path": "cosmosis_extracted/cosmosis-main/cosmosis/samplers/pmc/__init__.py",
"type": "Python"
} | joezuntzREPO_NAMEcosmosisPATH_START.@cosmosis_extracted@cosmosis-main@cosmosis@samplers@pmc@__init__.py@.PATH_END.py | |
{
"filename": "_opacity.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattermap/selected/marker/_opacity.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="opacity", parent_name="scattermap.selected.marker", **kwargs
):
super(OpacityValidator, self).__init__(
plotly_name=plotly_name,
pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattermap@selected@marker@_opacity.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "JulianBMunoz/RelicFast",
"repo_path": "RelicFast_extracted/RelicFast-master/CAMB_Current/pycamb/camb/__init__.py",
"type": "Python"
} | # coding: utf8
"""
Python CAMB interface (http://camb.info)
"""
__author__ = "Antony Lewis"
__contact__ = "antony at cosmologist dot info"
__status__ = "beta"
__version__ = "0.1.6.1"
from .baseconfig import dll_import
from .camb import CAMBdata, MatterTransferData, get_results, get_transfer_functions, get_background... | JulianBMunozREPO_NAMERelicFastPATH_START.@RelicFast_extracted@RelicFast-master@CAMB_Current@pycamb@camb@__init__.py@.PATH_END.py |
{
"filename": "overview.md",
"repo_name": "dmentipl/plonk",
"repo_path": "plonk_extracted/plonk-main/docs/source/getting-started/overview.md",
"type": "Markdown"
} | # Overview
```{eval-rst}
.. currentmodule:: plonk
```
This document gives an overview of using Plonk for analysis and visualization of
smoothed particle hydrodynamics data. For a further guide see {doc}`../../user-guide/usage`.
```{toctree}
:maxdepth: 1
overview/data
overview/visualization
overview/analysis
```
``... | dmentiplREPO_NAMEplonkPATH_START.@plonk_extracted@plonk-main@docs@source@getting-started@overview.md@.PATH_END.py |
{
"filename": "migrate-to-maplibre.md",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/doc/python/migrate-to-maplibre.md",
"type": "Markdown"
} | ---
jupyter:
jupytext:
notebook_metadata_filter: all
text_representation:
extension: .md
format_name: markdown
format_version: '1.3'
jupytext_version: 1.16.1
kernelspec:
display_name: Python 3 (ipykernel)
language: python
name: python3
language_info:
codemirror_mode... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@doc@python@migrate-to-maplibre.md@.PATH_END.py |
{
"filename": "_templateitemname.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/xaxis/tickformatstop/_templateitemname.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="templateitemname",
parent_name="layout.xaxis.tickformatstop",
**kwargs,
):
super(TemplateitemnameValidator, self).__init__... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@xaxis@tickformatstop@_templateitemname.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "RadioAstronomySoftwareGroup/pyuvdata",
"repo_path": "pyuvdata_extracted/pyuvdata-main/tests/uvbeam/__init__.py",
"type": "Python"
} | # Copyright (c) 2019 Radio Astronomy Software Group
# Licensed under the 2-clause BSD License
| RadioAstronomySoftwareGroupREPO_NAMEpyuvdataPATH_START.@pyuvdata_extracted@pyuvdata-main@tests@uvbeam@__init__.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/jaxlib/README.md",
"type": "Markdown"
} | # jaxlib: support library for JAX
jaxlib is the support library for JAX. While JAX itself is a pure Python package,
jaxlib contains the binary (C/C++) parts of the library, including Python bindings,
the XLA compiler, the PJRT runtime, and a handful of handwritten kernels.
For more information, including installation ... | googleREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jaxlib@README.md@.PATH_END.py |
{
"filename": "conftest.py",
"repo_name": "tardis-sn/tardis",
"repo_path": "tardis_extracted/tardis-main/tardis/montecarlo/tests/conftest.py",
"type": "Python"
} | import os
import pytest
from tardis.io import config_reader
from ctypes import (
CDLL,
byref,
c_int64,
c_double,
c_ulong,
)
from tardis.montecarlo.struct import (
RPacket,
StorageModel,
RKState,
TARDIS_PACKET_STATUS_IN_PROCESS,
CONTINUUM_OFF,
BoundFreeTreatment,
)
from tar... | tardis-snREPO_NAMEtardisPATH_START.@tardis_extracted@tardis-main@tardis@montecarlo@tests@conftest.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "Nikhel1/Gal-DINO",
"repo_path": "Gal-DINO_extracted/Gal-DINO-main/models/dino/ops/functions/__init__.py",
"type": "Python"
} | # ------------------------------------------------------------------------------------------------
# Deformable DETR
# Copyright (c) 2020 SenseTime. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
# -------------------------------------------------------------------------... | Nikhel1REPO_NAMEGal-DINOPATH_START.@Gal-DINO_extracted@Gal-DINO-main@models@dino@ops@functions@__init__.py@.PATH_END.py |
{
"filename": "_range.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/polar/radialaxis/_range.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
def __init__(
self, plotly_name="range", parent_name="layout.polar.radialaxis", **kwargs
):
super(RangeValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@polar@radialaxis@_range.py@.PATH_END.py |
{
"filename": "simple_radial_profile.py",
"repo_name": "yt-project/yt",
"repo_path": "yt_extracted/yt-main/doc/source/cookbook/simple_radial_profile.py",
"type": "Python"
} | import yt
# Load the dataset.
ds = yt.load("IsolatedGalaxy/galaxy0030/galaxy0030")
# Create a sphere of radius 100 kpc in the center of the box.
my_sphere = ds.sphere("c", (100.0, "kpc"))
# Create a profile of the average density vs. radius.
plot = yt.ProfilePlot(
my_sphere,
("index", "radius"),
("gas", ... | yt-projectREPO_NAMEytPATH_START.@yt_extracted@yt-main@doc@source@cookbook@simple_radial_profile.py@.PATH_END.py |
{
"filename": "velociraptor_test.py",
"repo_name": "pynbody/pynbody",
"repo_path": "pynbody_extracted/pynbody-master/tests/velociraptor_test.py",
"type": "Python"
} | import numpy as np
import pytest
import pynbody
import pynbody.test_utils
@pytest.fixture(scope='module', autouse=True)
def get_data():
pynbody.test_utils.ensure_test_data_available("swift")
@pytest.mark.parametrize("load_all", [True, False])
def test_swift_velociraptor(load_all):
f = pynbody.load("testdat... | pynbodyREPO_NAMEpynbodyPATH_START.@pynbody_extracted@pynbody-master@tests@velociraptor_test.py@.PATH_END.py |
{
"filename": "test_c_sockets_implementation.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/src/amuse/test/suite/compile_tests/test_c_sockets_implementation.py",
"type": "Python"
} | from amuse.support.interface import InCodeComponentImplementation
from amuse.test.amusetest import TestWithMPI
from amuse.support import exceptions
from amuse.support import options
import os
import time
from amuse.units import nbody_system
from amuse.units import units
from amuse import datamodel
from amuse.rfi.tool... | amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@src@amuse@test@suite@compile_tests@test_c_sockets_implementation.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/waterfall/decreasing/marker/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._line import LineValidator
from ._color import ColorValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._line.LineValidator", "._color.ColorValidator"]
)
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@waterfall@decreasing@marker@__init__.py@.PATH_END.py |
{
"filename": "SDSS.py",
"repo_name": "mjuric/lsd",
"repo_path": "lsd_extracted/lsd-master/src/lsd/builtins/SDSS.py",
"type": "Python"
} | import os
from .misc import FileTable
class RunToMJD(object):
def __init__(self, runlist=None):
if runlist is None:
runlist = os.getenv('SDSS_RUNLIST', None)
if runlist is None:
from .. import config
runlist = os.path.join(config.data_dir, 'sdss', 'opRunlist.par')
self.run2mjd = FileTable(runlist).ma... | mjuricREPO_NAMElsdPATH_START.@lsd_extracted@lsd-master@src@lsd@builtins@SDSS.py@.PATH_END.py |
{
"filename": "_outlinewidth.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/streamtube/colorbar/_outlinewidth.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="outlinewidth", parent_name="streamtube.colorbar", **kwargs
):
super(OutlinewidthValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@streamtube@colorbar@_outlinewidth.py@.PATH_END.py |
{
"filename": "setup-mpf.py",
"repo_name": "dstndstn/tractor",
"repo_path": "tractor_extracted/tractor-main/tractor/setup-mpf.py",
"type": "Python"
} | from distutils.core import setup, Extension
import numpy
import os
numpy_inc = [numpy.get_include()]
cflags = os.environ.get('CFLAGS')
kwargs = {}
if os.environ.get('CC') == 'icc':
if cflags is None:
cflags = '-g -xhost -axMIC-AVX512'
else:
print('mp_fourier: using user-specified CFLAGS')
... | dstndstnREPO_NAMEtractorPATH_START.@tractor_extracted@tractor-main@tractor@setup-mpf.py@.PATH_END.py |
{
"filename": "WaveToy.py",
"repo_name": "zachetienne/nrpytutorial",
"repo_path": "nrpytutorial_extracted/nrpytutorial-master/CarpetX/WaveToy.py",
"type": "Python"
} | import os
import sys
import re
import grid
from cactusthorn import CactusThorn, loop
from sympy import sympify, sin, cos, pi
import NRPy_param_funcs as par
from subprocess import call
import numpy as np
from fstr import f
from outputC import lhrh
par.set_parval_from_str("outputC::PRECISION", "CCTK_REALVEC")
pre_kerne... | zachetienneREPO_NAMEnrpytutorialPATH_START.@nrpytutorial_extracted@nrpytutorial-master@CarpetX@WaveToy.py@.PATH_END.py |
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