metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "problem_setup.py",
"repo_name": "dullemond/radmc3d-2.0",
"repo_path": "radmc3d-2.0_extracted/radmc3d-2.0-master/examples/run_simple_1_userdef_refined/problem_setup.py",
"type": "Python"
} | #
# Import NumPy for array handling
#
import numpy as np
#
# Import plotting libraries (start Python with ipython --matplotlib)
#
#from mpl_toolkits.mplot3d import axes3d
#from matplotlib import pyplot as plt
#
# Some natural constants
#
au = 1.49598e13 # Astronomical Unit [cm]
pc = 3.08572e18 # Parsec ... | dullemondREPO_NAMEradmc3d-2.0PATH_START.@radmc3d-2.0_extracted@radmc3d-2.0-master@examples@run_simple_1_userdef_refined@problem_setup.py@.PATH_END.py |
{
"filename": "test_prompt.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/core/tests/unit_tests/prompts/test_prompt.py",
"type": "Python"
} | """Test functionality related to prompts."""
from typing import Any, Union
from unittest import mock
import pydantic
import pytest
from syrupy import SnapshotAssertion
from langchain_core.prompts.prompt import PromptTemplate
from langchain_core.prompts.string import PromptTemplateFormat
from langchain_core.tracers.r... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@core@tests@unit_tests@prompts@test_prompt.py@.PATH_END.py |
{
"filename": "_known_cmap_types.py",
"repo_name": "1313e/CMasher",
"repo_path": "CMasher_extracted/CMasher-master/src/cmasher/_known_cmap_types.py",
"type": "Python"
} | # this file is generated via scripts/generate_known_cmap_types.py, do not edit manually
_CMASHER_BUILTIN_MAP_TYPES = {
"amber": "sequential",
"amethyst": "sequential",
"apple": "sequential",
"arctic": "sequential",
"bubblegum": "sequential",
"chroma": "sequential",
"cmr.amber": "sequential"... | 1313eREPO_NAMECMasherPATH_START.@CMasher_extracted@CMasher-master@src@cmasher@_known_cmap_types.py@.PATH_END.py |
{
"filename": "s2_calibrate.py",
"repo_name": "kevin218/Eureka",
"repo_path": "Eureka_extracted/Eureka-main/src/eureka/S2_calibrations/s2_calibrate.py",
"type": "Python"
} | #! /usr/bin/env python
# Eureka! Stage 2 calibration pipeline
# Proposed Steps
# --------------
# 1. Read in Stage 1 data products
# 2. Change default trimming if needed
# 3. Run the JWST pipeline with any requested modifications
# 4. Save Stage 2 data products
# 5. Produce plots
import os
import time as time_p... | kevin218REPO_NAMEEurekaPATH_START.@Eureka_extracted@Eureka-main@src@eureka@S2_calibrations@s2_calibrate.py@.PATH_END.py |
{
"filename": "_type.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattergl/error_x/_type.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="type", parent_name="scattergl.error_x", **kwargs):
super(TypeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattergl@error_x@_type.py@.PATH_END.py |
{
"filename": "_scheme_builtins.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pygments/py3/pygments/lexers/_scheme_builtins.py",
"type": "Python"
} | """
pygments.lexers._scheme_builtins
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Scheme builtins.
:copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
# Autogenerated by external/scheme-builtins-generator.scm
# using Guile 3.0.5.130-5a1e7.
scheme_ke... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pygments@py3@pygments@lexers@_scheme_builtins.py@.PATH_END.py |
{
"filename": "_line.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/waterfall/increasing/marker/_line.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Line(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "waterfall.increasing.marker"
_path_str = "waterfall.increasing.marker.line"
_valid_props = {"c... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@waterfall@increasing@marker@_line.py@.PATH_END.py |
{
"filename": "_version.py",
"repo_name": "lenscat/lenscat",
"repo_path": "lenscat_extracted/lenscat-main/lenscat/_version.py",
"type": "Python"
} | __version__ = '1.1.0' | lenscatREPO_NAMElenscatPATH_START.@lenscat_extracted@lenscat-main@lenscat@_version.py@.PATH_END.py |
{
"filename": "_marker.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/bar/unselected/_marker.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Marker(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "bar.unselected"
_path_str = "bar.unselected.marker"
_valid_props = {"color", "opacity"}
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@bar@unselected@_marker.py@.PATH_END.py |
{
"filename": "_rangemode.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/carpet/baxis/_rangemode.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class RangemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="rangemode", parent_name="carpet.baxis", **kwargs):
super(RangemodeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@carpet@baxis@_rangemode.py@.PATH_END.py |
{
"filename": "test.py",
"repo_name": "mpi4py/mpi4py",
"repo_path": "mpi4py_extracted/mpi4py-master/demo/wrap-ctypes-f90/test.py",
"type": "Python"
} | from mpi4py import MPI
import helloworld as hw
null = MPI.COMM_NULL
hw.sayhello(null)
comm = MPI.COMM_WORLD
hw.sayhello(comm)
try:
hw.sayhello(list())
except:
pass
else:
assert 0, "exception not raised"
| mpi4pyREPO_NAMEmpi4pyPATH_START.@mpi4py_extracted@mpi4py-master@demo@wrap-ctypes-f90@test.py@.PATH_END.py |
{
"filename": "tesswrapper.py",
"repo_name": "astrobel/spinneret",
"repo_path": "spinneret_extracted/spinneret-master/tesswrapper.py",
"type": "Python"
} | import os
os.environ['MKL_NUM_THREADS'] = '1'
os.environ['OPENBLAS_NUM_THREADS'] = '1'
os.environ['NUMEXPR_NUM_THREADS'] = '1'
os.environ['OMP_NUM_THREADS'] = '1'
import numpy as np
import lightkurve as lk
import matplotlib.pyplot as plt
import matplotlib as mpl
import pandas as pd
import scipy.signal as sps
import as... | astrobelREPO_NAMEspinneretPATH_START.@spinneret_extracted@spinneret-master@tesswrapper.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "nell-byler/cloudyfsps",
"repo_path": "cloudyfsps_extracted/cloudyfsps-master/cloudyfsps/plotting/__init__.py",
"type": "Python"
} | import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
from matplotlib import cm as cmx
mpl.rc('xtick', labelsize=12)
mpl.rc('ytick', labelsize=12)
mpl.rc('font', size=16, family='serif', serif=[r'cmr10'], style='normal', variant='normal', stretch='normal', weight='heavy')
mpl.rc('legend', labelsp... | nell-bylerREPO_NAMEcloudyfspsPATH_START.@cloudyfsps_extracted@cloudyfsps-master@cloudyfsps@plotting@__init__.py@.PATH_END.py |
{
"filename": "anyscale.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/embeddings/anyscale.py",
"type": "Python"
} | """Anyscale embeddings wrapper."""
from __future__ import annotations
from typing import Dict, Optional
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
from pydantic import Field, SecretStr
from langchain_community.embeddings.openai import OpenAIEmbeddings
from langchain_commu... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@embeddings@anyscale.py@.PATH_END.py |
{
"filename": "bevelTubeEntrance.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/tests/functional/Damage/ExpandingTube/bevelTubeEntrance.py",
"type": "Python"
} | from math import *
from SpheralTestUtilities import *
#-------------------------------------------------------------------------------
# A method to adjust the node positions and masses of the cylinder to match the
# beveling used in the experiments.
#
# A subtly here is that in 2-D we assume that the tube is aligned ... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@tests@functional@Damage@ExpandingTube@bevelTubeEntrance.py@.PATH_END.py |
{
"filename": "_ticksuffix.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/bar/marker/colorbar/_ticksuffix.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TicksuffixValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="ticksuffix", parent_name="bar.marker.colorbar", **kwargs
):
super(TicksuffixValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@bar@marker@colorbar@_ticksuffix.py@.PATH_END.py |
{
"filename": "spfuncs.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py3/scipy/sparse/spfuncs.py",
"type": "Python"
} | # This file is not meant for public use and will be removed in SciPy v2.0.0.
# Use the `scipy.sparse` namespace for importing the functions
# included below.
import warnings
from . import _spfuncs
__all__ = [ # noqa: F822
'isspmatrix_csr', 'csr_matrix', 'isspmatrix_csc', 'csr_count_blocks',
'estimate_blocks... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py3@scipy@sparse@spfuncs.py@.PATH_END.py |
{
"filename": "_style.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/histogram2d/colorbar/title/font/_style.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StyleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="style",
parent_name="histogram2d.colorbar.title.font",
**kwargs,
):
super(StyleValidator, self).__init__(
plotly_name... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@histogram2d@colorbar@title@font@_style.py@.PATH_END.py |
{
"filename": "_column.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/treemap/domain/_column.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(self, plotly_name="column", parent_name="treemap.domain", **kwargs):
super(ColumnValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@treemap@domain@_column.py@.PATH_END.py |
{
"filename": "modeling.py",
"repo_name": "rongmon/musetools",
"repo_path": "musetools_extracted/musetools-master/src/musetools/modeling.py",
"type": "Python"
} | import numpy as np
import matplotlib.pyplot as plt
from astropy.convolution import convolve, Gaussian1DKernel
import musetools.utils as u
from copy import deepcopy
###################################################################################
# Old Models
####################################... | rongmonREPO_NAMEmusetoolsPATH_START.@musetools_extracted@musetools-master@src@musetools@modeling.py@.PATH_END.py |
{
"filename": "test_jhelum.py",
"repo_name": "adrn/gala",
"repo_path": "gala_extracted/gala-main/gala/coordinates/tests/test_jhelum.py",
"type": "Python"
} | # Third-party
import astropy.coordinates as coord
import astropy.units as u
import numpy as np
# This package
from ..jhelum import JhelumBonaca19
def test_simple():
c = coord.ICRS(coord.Angle(217.2141, u.degree), coord.Angle(-11.4351, u.degree))
c.transform_to(JhelumBonaca19())
c = coord.Galactic(coord.... | adrnREPO_NAMEgalaPATH_START.@gala_extracted@gala-main@gala@coordinates@tests@test_jhelum.py@.PATH_END.py |
{
"filename": "make_different_MWA_beam_model_plots.py",
"repo_name": "JLBLine/WODEN",
"repo_path": "WODEN_extracted/WODEN-master/docs/sphinx/testing/make_different_MWA_beam_model_plots.py",
"type": "Python"
} | import aplpy
import matplotlib.pyplot as plt
##Thanks to the legend here: https://github.com/aplpy/aplpy/issues/423
##that solved the stupid 4 vs 2 axis issue in aplpy
def fix_aplpy_fits(aplpy_obj, dropaxis=2):
"""This removes the degenerated dimensions in APLpy 2.X...
The input must be the object returned by... | JLBLineREPO_NAMEWODENPATH_START.@WODEN_extracted@WODEN-master@docs@sphinx@testing@make_different_MWA_beam_model_plots.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "ewanbarr/peasoup",
"repo_path": "peasoup_extracted/peasoup-master/README.md",
"type": "Markdown"
} | peasoup_32
==========
C++/CUDA GPU pulsar searching library
The Master branch has been incorporated as the default source code in the original GitHub repository (https://github.com/ewanbarr/peasoup/)
**peasoup** has been modified for handling 32 bit dedispersed timeseries. This change was necessary to ensure that... | ewanbarrREPO_NAMEpeasoupPATH_START.@peasoup_extracted@peasoup-master@README.md@.PATH_END.py |
{
"filename": "ia3.md",
"repo_name": "huggingface/peft",
"repo_path": "peft_extracted/peft-main/docs/source/task_guides/ia3.md",
"type": "Markdown"
} | <!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | huggingfaceREPO_NAMEpeftPATH_START.@peft_extracted@peft-main@docs@source@task_guides@ia3.md@.PATH_END.py |
{
"filename": "INSTALL.md",
"repo_name": "phirling/pyc2ray",
"repo_path": "pyc2ray_extracted/pyc2ray-main/INSTALL.md",
"type": "Markdown"
} | ## Build Instructions for pyc2ray on Piz-Daint (September 2023)
Since the automatic build system isn't fully working yet, the extension modules must be compiled and placed in correct directories manually. After cloning the repository, create the `/lib` directory inside `/pyc2ray/` (from the root of the repository).
**... | phirlingREPO_NAMEpyc2rayPATH_START.@pyc2ray_extracted@pyc2ray-main@INSTALL.md@.PATH_END.py |
{
"filename": "_gridwidth.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/ternary/baxis/_gridwidth.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class GridwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="gridwidth", parent_name="layout.ternary.baxis", **kwargs
):
super(GridwidthValidator, self).__init__(
plotly_name=plotly_name,
pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@ternary@baxis@_gridwidth.py@.PATH_END.py |
{
"filename": "_grouptitlefont.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/layout/legend/_grouptitlefont.py",
"type": "Python"
} | from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
import copy as _copy
class Grouptitlefont(_BaseLayoutHierarchyType):
# class properties
# --------------------
_parent_path_str = "layout.legend"
_path_str = "layout.legend.grouptitlefont"
_valid_props = {
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@layout@legend@_grouptitlefont.py@.PATH_END.py |
{
"filename": "parallelize.py",
"repo_name": "3fon3fonov/exostriker",
"repo_path": "exostriker_extracted/exostriker-main/exostriker/lib/pyqtgraph/examples/parallelize.py",
"type": "Python"
} | import time
import pyqtgraph as pg
import pyqtgraph.multiprocess as mp
print( "\n=================\nParallelize")
## Do a simple task:
## for x in range(N):
## sum([x*i for i in range(M)])
##
## We'll do this three times
## - once without Parallelize
## - once with Parallelize, but forced to use a single... | 3fon3fonovREPO_NAMEexostrikerPATH_START.@exostriker_extracted@exostriker-main@exostriker@lib@pyqtgraph@examples@parallelize.py@.PATH_END.py |
{
"filename": "_sizesrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatterternary/textfont/_sizesrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="sizesrc", parent_name="scatterternary.textfont", **kwargs
):
super(SizesrcValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatterternary@textfont@_sizesrc.py@.PATH_END.py |
{
"filename": "_color.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/pie/legendgrouptitle/font/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="pie.legendgrouptitle.font", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_nam... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@pie@legendgrouptitle@font@_color.py@.PATH_END.py |
{
"filename": "desi_kp4_Y1_blinded_1d.py",
"repo_name": "Samreay/Barry",
"repo_path": "Barry_extracted/Barry-master/config/desi_kp4/desi_kp4_Y1_blinded_1d.py",
"type": "Python"
} | import sys
sys.path.append("..")
sys.path.append("../..")
from barry.samplers import NautilusSampler
from barry.config import setup
from barry.models import PowerBeutler2017, CorrBeutler2017
from barry.datasets.dataset_power_spectrum import PowerSpectrum_DESI_KP4
from barry.datasets.dataset_correlation_function import... | SamreayREPO_NAMEBarryPATH_START.@Barry_extracted@Barry-master@config@desi_kp4@desi_kp4_Y1_blinded_1d.py@.PATH_END.py |
{
"filename": "floats.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/hypothesis/py3/hypothesis/internal/floats.py",
"type": "Python"
} | # This file is part of Hypothesis, which may be found at
# https://github.com/HypothesisWorks/hypothesis/
#
# Copyright the Hypothesis Authors.
# Individual contributors are listed in AUTHORS.rst and the git log.
#
# This Source Code Form is subject to the terms of the Mozilla Public License,
# v. 2.0. If a copy of the... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@hypothesis@py3@hypothesis@internal@floats.py@.PATH_END.py |
{
"filename": "evolve_orbit_in_potential.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/examples/simple/evolve_orbit_in_potential.py",
"type": "Python"
} | # -*- coding: ascii -*-
"""
Evolve the orbital evolution in the galactic center potential
with different N-body codes.
All codes use default settings and are integrated using Bridge.
Since it is only a single particle being evolved, and the potential
is handled by bridge (externally) there should no... | amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@examples@simple@evolve_orbit_in_potential.py@.PATH_END.py |
{
"filename": "_color.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/surface/contours/x/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(self, plotly_name="color", parent_name="surface.contours.x", **kwargs):
super(ColorValidator, 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@surface@contours@x@_color.py@.PATH_END.py |
{
"filename": "test_cython_blas.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py2/scipy/linalg/tests/test_cython_blas.py",
"type": "Python"
} | import numpy as np
from numpy.testing import (assert_allclose,
assert_equal)
import scipy.linalg.cython_blas as blas
class TestDGEMM(object):
def test_transposes(self):
a = np.arange(12, dtype='d').reshape((3, 4))[:2,:2]
b = np.arange(1, 13, dtype='d').reshape((4, 3... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py2@scipy@linalg@tests@test_cython_blas.py@.PATH_END.py |
{
"filename": "pi_k_k.py",
"repo_name": "LoganAMorrison/Hazma",
"repo_path": "Hazma_extracted/Hazma-master/hazma/vector_mediator/form_factors/pi_k_k.py",
"type": "Python"
} | import abc
from dataclasses import KW_ONLY, InitVar, dataclass, field
from typing import Tuple, Union
import numpy as np
from hazma.phase_space import Rambo
from hazma.utils import lnorm_sqr
from hazma.vector_mediator.form_factors import utils
from hazma.vector_mediator.form_factors.utils import RealArray
KS_MASS_GE... | LoganAMorrisonREPO_NAMEHazmaPATH_START.@Hazma_extracted@Hazma-master@hazma@vector_mediator@form_factors@pi_k_k.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/cone/colorbar/tickfont/_lineposition.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LinepositionValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(
self, plotly_name="lineposition", parent_name="cone.colorbar.tickfont", **kwargs
):
super(LinepositionValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@cone@colorbar@tickfont@_lineposition.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "AstroVPK/kali",
"repo_path": "kali_extracted/kali-master/python/kali/util/__init__.py",
"type": "Python"
} | AstroVPKREPO_NAMEkaliPATH_START.@kali_extracted@kali-master@python@kali@util@__init__.py@.PATH_END.py | |
{
"filename": "_maxpoints.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/sunburst/stream/_maxpoints.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="maxpoints", parent_name="sunburst.stream", **kwargs
):
super(MaxpointsValidator, self).__init__(
plotly_name=plotly_name,
parent_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@sunburst@stream@_maxpoints.py@.PATH_END.py |
{
"filename": "Geometry_PYB11.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/PYB11/Geometry/Geometry_PYB11.py",
"type": "Python"
} | """
This module provides the fundamental Spheral Geometry types (Vector, Tensor,
etc.) and associated methods such as products and eigenvalues.
"""
from PYB11Generator import *
import types
# Forcibly override the common preamble
PYB11preamble = ""
# Define some useful type collections we're going to be wrapping in... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@PYB11@Geometry@Geometry_PYB11.py@.PATH_END.py |
{
"filename": "kqcorrelation.py",
"repo_name": "rmjarvis/TreeCorr",
"repo_path": "TreeCorr_extracted/TreeCorr-main/treecorr/kqcorrelation.py",
"type": "Python"
} | # Copyright (c) 2003-2024 by Mike Jarvis
#
# TreeCorr is free software: redistribution and use in source and binary forms,
# with or without modification, are permitted provided that the following
# conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this
# list of condi... | rmjarvisREPO_NAMETreeCorrPATH_START.@TreeCorr_extracted@TreeCorr-main@treecorr@kqcorrelation.py@.PATH_END.py |
{
"filename": "mcmc2d.py",
"repo_name": "psheehan/pdspy",
"repo_path": "pdspy_extracted/pdspy-master/pdspy/mcmc/mcmc2d.py",
"type": "Python"
} | from numpy import array, arange, exp
from numpy.random import uniform
from .change_params import change_params
from .ml2d import ml2d
def mcmc2d(x, y, z, sigma_z, params, sigma_params, model, args={}, \
nsteps=1e5, change_param=None, limits=None):
MLold, chisq_old = ml2d(x, y, z, sigma_z, params, model... | psheehanREPO_NAMEpdspyPATH_START.@pdspy_extracted@pdspy-master@pdspy@mcmc@mcmc2d.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/hoverlabel/grouptitlefont/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._weight import WeightValidator
from ._variant import VariantValidator
from ._textcase import TextcaseValidator
from ._style import StyleValidator
from ._size import SizeValidator
from ._shadow impor... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@hoverlabel@grouptitlefont@__init__.py@.PATH_END.py |
{
"filename": "bug_report.md",
"repo_name": "spacetelescope/acstools",
"repo_path": "acstools_extracted/acstools-master/.github/ISSUE_TEMPLATE/bug_report.md",
"type": "Markdown"
} | ---
name: Bug report
about: Create a report describing unexpected or incorrect behavior in acstools.
labels: 'bug'
---
<!-- This comments are hidden when you submit the issue,
so you do not need to remove them! -->
<!-- Please be sure to check out our code of conduct,
https://github.com/spacetelescope/acstools/blob/m... | spacetelescopeREPO_NAMEacstoolsPATH_START.@acstools_extracted@acstools-master@.github@ISSUE_TEMPLATE@bug_report.md@.PATH_END.py |
{
"filename": "abscal_inspect_2458157.ipynb",
"repo_name": "HERA-Team/H1C_IDR3_Notebooks",
"repo_path": "H1C_IDR3_Notebooks-main/abscal_inspect/abscal_inspect_2458157.ipynb",
"type": "Jupyter Notebook"
} | # Stage 2 Absolute Calibration Nightly Notebook
**Josh Dillon**, Last Revised 9/23/20
```python
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
from hera_cal import io, redcal, apply_cal, abscal, utils
from hera_cal.smooth_cal import build_time_blacklist
from hera_qm.metrics_io import load_metri... | HERA-TeamREPO_NAMEH1C_IDR3_NotebooksPATH_START.@H1C_IDR3_Notebooks-main@abscal_inspect@abscal_inspect_2458157.ipynb@.PATH_END.py |
{
"filename": "desi_kp4_SecondGen_pk_npolytest1.py",
"repo_name": "Samreay/Barry",
"repo_path": "Barry_extracted/Barry-master/config/desi_kp4/desi_kp4_SecondGen_pk_npolytest1.py",
"type": "Python"
} | import sys
import os
sys.path.append("..")
sys.path.append("../..")
from barry.samplers import NautilusSampler
from barry.config import setup
from barry.models import PowerBeutler2017, CorrBeutler2017
from barry.datasets.dataset_power_spectrum import PowerSpectrum_DESI_KP4
from barry.datasets.dataset_correlation_funct... | SamreayREPO_NAMEBarryPATH_START.@Barry_extracted@Barry-master@config@desi_kp4@desi_kp4_SecondGen_pk_npolytest1.py@.PATH_END.py |
{
"filename": "util.py",
"repo_name": "adrn/gala",
"repo_path": "gala_extracted/gala-main/gala/potential/potential/util.py",
"type": "Python"
} | """ Utilities for Potential classes """
# Standard library
from functools import wraps
# Third-party
import numpy as np
# Project
from ..common import PotentialParameter
from .core import PotentialBase
__all__ = ['from_equation']
__doctest_requires__ = {('from_equation', ): ['sympy']}
def from_equation(expr, vars... | adrnREPO_NAMEgalaPATH_START.@gala_extracted@gala-main@gala@potential@potential@util.py@.PATH_END.py |
{
"filename": "_decomp_ldl.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py3/scipy/linalg/_decomp_ldl.py",
"type": "Python"
} | from warnings import warn
import numpy as np
from numpy import (atleast_2d, ComplexWarning, arange, zeros_like, imag, diag,
iscomplexobj, tril, triu, argsort, empty_like)
from ._decomp import _asarray_validated
from .lapack import get_lapack_funcs, _compute_lwork
__all__ = ['ldl']
def ldl(A, lowe... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py3@scipy@linalg@_decomp_ldl.py@.PATH_END.py |
{
"filename": "testing_for_den_F4den_validation_Bicycle_latent_interp.py",
"repo_name": "Yash-10/modified_gravity_emulation",
"repo_path": "modified_gravity_emulation_extracted/modified_gravity_emulation-main/scripts/testing_for_den_F4den_validation_Bicycle_latent_interp.py",
"type": "Python"
} | #############################################
# Before running, do:
#```
#module unload python/3.6.5
#module load python/3.8.7-C8
#```
#############################################
import os
import importlib
from functools import partial
#os.system('pip install numpy==1.21')
os.chdir("/cosma5/data/durham/dc-gond1/pix... | Yash-10REPO_NAMEmodified_gravity_emulationPATH_START.@modified_gravity_emulation_extracted@modified_gravity_emulation-main@scripts@testing_for_den_F4den_validation_Bicycle_latent_interp.py@.PATH_END.py |
{
"filename": "test_sensorWavefrontError.py",
"repo_name": "lsst-ts/ts_phosim",
"repo_path": "ts_phosim_extracted/ts_phosim-main/tests/utils/test_sensorWavefrontError.py",
"type": "Python"
} | # This file is part of ts_phosim.
#
# 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: y... | lsst-tsREPO_NAMEts_phosimPATH_START.@ts_phosim_extracted@ts_phosim-main@tests@utils@test_sensorWavefrontError.py@.PATH_END.py |
{
"filename": "_xref.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_xref.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XrefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="xref", parent_name="parcoords.line.colorbar", **kwargs
):
super(XrefValidator, self).__init__(
plotly_name=plotly_name,
parent_nam... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@parcoords@line@colorbar@_xref.py@.PATH_END.py |
{
"filename": "test_power.py",
"repo_name": "roban/CosmoloPy",
"repo_path": "CosmoloPy_extracted/CosmoloPy-master/cosmolopy/EH/tests/test_power.py",
"type": "Python"
} | """Check that the power module is working."""
from __future__ import absolute_import, division, print_function
import numpy.testing.utils as ntest
def test_power():
"""Check that the power module is working."""
import cosmolopy.EH.power as power
power.TFmdm_set_cosm(0.3, 0.04, 0.0, 0, 0.7, 0.72, 0.0)
... | robanREPO_NAMECosmoloPyPATH_START.@CosmoloPy_extracted@CosmoloPy-master@cosmolopy@EH@tests@test_power.py@.PATH_END.py |
{
"filename": "set_Cpreproc_flags.py",
"repo_name": "RickKessler/SNANA",
"repo_path": "SNANA_extracted/SNANA-main/util/set_Cpreproc_flags.py",
"type": "Python"
} | #!/usr/bin/env python
#
# April 2019, R. Kessler
# Called by makeFile to set C preprocessor flags based
# on the existance or absence of environment variables.
# This script replaces the older defineOutputFlags.pl
#
# Note that all input names are hard-coded here as globals.
#
# Apr 29 2019: replace USE_BYOSED ENV with... | RickKesslerREPO_NAMESNANAPATH_START.@SNANA_extracted@SNANA-main@util@set_Cpreproc_flags.py@.PATH_END.py |
{
"filename": "test_base_result.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/tests/results/test_base_result.py",
"type": "Python"
} | import pytest
from prefect.results import BaseResult
class ConcreteResult(BaseResult[int]):
def get(self) -> int:
return 1
def test_lookup_type_fails_gracefully():
with pytest.raises(ValueError, match="Invalid type: test"):
ConcreteResult(type="test")
| PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@tests@results@test_base_result.py@.PATH_END.py |
{
"filename": "optimizers.py",
"repo_name": "gogrean/PyXel",
"repo_path": "PyXel_extracted/PyXel-master/pyxel/optimizers.py",
"type": "Python"
} | import warnings
import numpy as np
from astropy.modeling.optimizers import Optimization
from astropy.utils.exceptions import AstropyUserWarning
DEFAULT_BOUNDS = (-1e12, 1e12)
class Minimize(Optimization):
"""General optimization algorithm based on `scipy.optimize.minimize`.
The `Minimize` optimizer allows t... | gogreanREPO_NAMEPyXelPATH_START.@PyXel_extracted@PyXel-master@pyxel@optimizers.py@.PATH_END.py |
{
"filename": "zbuffer_array.py",
"repo_name": "yt-project/yt",
"repo_path": "yt_extracted/yt-main/yt/visualization/volume_rendering/zbuffer_array.py",
"type": "Python"
} | import numpy as np
class ZBuffer:
"""A container object for z-buffer arrays
A zbuffer is a companion array for an image that allows the volume rendering
infrastructure to determine whether one opaque source is in front of another
opaque source. The z buffer encodes the distance to the opaque source
... | yt-projectREPO_NAMEytPATH_START.@yt_extracted@yt-main@yt@visualization@volume_rendering@zbuffer_array.py@.PATH_END.py |
{
"filename": "_marker.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattergeo/unselected/_marker.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="marker", parent_name="scattergeo.unselected", **kwargs
):
super(MarkerValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattergeo@unselected@_marker.py@.PATH_END.py |
{
"filename": "model.py",
"repo_name": "triton-inference-server/server",
"repo_path": "server_extracted/server-main/qa/python_models/string_identity/model.py",
"type": "Python"
} | # Copyright 2021-2023, NVIDIA CORPORATION & AFFILIATES. 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 retain the above copyright
# notice, this list o... | triton-inference-serverREPO_NAMEserverPATH_START.@server_extracted@server-main@qa@python_models@string_identity@model.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "D-arioSpace/astroquery",
"repo_path": "astroquery_extracted/astroquery-main/astroquery/eso/__init__.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
ESO service.
"""
from astropy import config as _config
class Conf(_config.ConfigNamespace):
"""
Configuration parameters for `astroquery.eso`.
"""
row_limit = _config.ConfigItem(
50,
'Maximum number of rows returned (... | D-arioSpaceREPO_NAMEastroqueryPATH_START.@astroquery_extracted@astroquery-main@astroquery@eso@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "jrenaud90/TidalPy",
"repo_path": "TidalPy_extracted/TidalPy-main/TidalPy/RadialSolver/boundaries/__init__.py",
"type": "Python"
} | jrenaud90REPO_NAMETidalPyPATH_START.@TidalPy_extracted@TidalPy-main@TidalPy@RadialSolver@boundaries@__init__.py@.PATH_END.py | |
{
"filename": "non_linearity.py",
"repo_name": "litebird/litebird_sim",
"repo_path": "litebird_sim_extracted/litebird_sim-master/litebird_sim/non_linearity.py",
"type": "Python"
} | # -*- encoding: utf-8 -*-
from typing import List, Union
from numba import njit, prange
from .observations import Observation
@njit
def apply_quadratic_nonlin_for_one_sample(data, g_one_over_k):
return data + g_one_over_k * data**2
@njit(parallel=True)
def apply_quadratic_nonlin_for_one_detector(tod_det, g_o... | litebirdREPO_NAMElitebird_simPATH_START.@litebird_sim_extracted@litebird_sim-master@litebird_sim@non_linearity.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "numpy/numpy",
"repo_path": "numpy_extracted/numpy-main/numpy/f2py/tests/__init__.py",
"type": "Python"
} | from numpy.testing import IS_WASM, IS_EDITABLE
import pytest
if IS_WASM:
pytest.skip(
"WASM/Pyodide does not use or support Fortran",
allow_module_level=True
)
if IS_EDITABLE:
pytest.skip(
"Editable install doesn't support tests with a compile step",
allow_module_level=Tru... | numpyREPO_NAMEnumpyPATH_START.@numpy_extracted@numpy-main@numpy@f2py@tests@__init__.py@.PATH_END.py |
{
"filename": "most.py",
"repo_name": "astropy/astroquery",
"repo_path": "astroquery_extracted/astroquery-main/astroquery/ipac/irsa/most.py",
"type": "Python"
} | import io
import re
import tarfile
import warnings
from bs4 import BeautifulSoup
from astropy.io import votable, fits
from astropy.table import Table
from astroquery.query import BaseQuery
from astroquery.utils import class_or_instance
from astroquery.exceptions import InvalidQueryError, NoResultsWarning
from . imp... | astropyREPO_NAMEastroqueryPATH_START.@astroquery_extracted@astroquery-main@astroquery@ipac@irsa@most.py@.PATH_END.py |
{
"filename": "test_gpu_updaters.py",
"repo_name": "dmlc/xgboost",
"repo_path": "xgboost_extracted/xgboost-master/tests/python-gpu/test_gpu_updaters.py",
"type": "Python"
} | import sys
from typing import Any, Dict
import numpy as np
import pytest
from hypothesis import assume, given, note, settings, strategies
import xgboost as xgb
from xgboost import testing as tm
from xgboost.testing.params import (
cat_parameter_strategy,
exact_parameter_strategy,
hist_cache_strategy,
... | dmlcREPO_NAMExgboostPATH_START.@xgboost_extracted@xgboost-master@tests@python-gpu@test_gpu_updaters.py@.PATH_END.py |
{
"filename": "test_numeric.py",
"repo_name": "numpy/numpy",
"repo_path": "numpy_extracted/numpy-main/numpy/matrixlib/tests/test_numeric.py",
"type": "Python"
} | import numpy as np
from numpy.testing import assert_equal
class TestDot:
def test_matscalar(self):
b1 = np.matrix(np.ones((3, 3), dtype=complex))
assert_equal(b1*1.0, b1)
def test_diagonal():
b1 = np.matrix([[1,2],[3,4]])
diag_b1 = np.matrix([[1, 4]])
array_b1 = np.array([1, 4])
... | numpyREPO_NAMEnumpyPATH_START.@numpy_extracted@numpy-main@numpy@matrixlib@tests@test_numeric.py@.PATH_END.py |
{
"filename": "kernel.py",
"repo_name": "ratt-ru/QuartiCal",
"repo_path": "QuartiCal_extracted/QuartiCal-main/quartical/gains/leakage/kernel.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import numpy as np
from numba import njit
from numba.extending import overload
from quartical.utils.numba import coerce_literal, JIT_OPTIONS
from quartical.gains.general.generics import (native_intermediaries,
upsampled_itermediaries,
... | ratt-ruREPO_NAMEQuartiCalPATH_START.@QuartiCal_extracted@QuartiCal-main@quartical@gains@leakage@kernel.py@.PATH_END.py |
{
"filename": "training_NN.md",
"repo_name": "alessiospuriomancini/cosmopower",
"repo_path": "cosmopower_extracted/cosmopower-main/docs/tutorial/training/NN/training_NN.md",
"type": "Markdown"
} | This section is an excerpt from the notebook explaining how to [train a ``cosmopower_NN`` model](https://github.com/alessiospuriomancini/cosmopower/blob/main/notebooks/training_notebooks/cosmopower_NN_CMB_training.ipynb). The user is strongly encouraged to run that notebook in its entirety, [![Open In Colab](https://co... | alessiospuriomanciniREPO_NAMEcosmopowerPATH_START.@cosmopower_extracted@cosmopower-main@docs@tutorial@training@NN@training_NN.md@.PATH_END.py |
{
"filename": "splitDRX.py",
"repo_name": "lwa-project/lsl",
"repo_path": "lsl_extracted/lsl-main/scripts/splitDRX.py",
"type": "Python"
} | #!/usr/bin/env python3
"""
Example script for splitting a DRX file into smaller pieces.
"""
import os
import sys
import math
import time
import argparse
from datetime import datetime
from lsl.reader import drx, errors
from lsl.common.progress import ProgressBar
from lsl.misc import parser as aph
from lsl.misc impor... | lwa-projectREPO_NAMElslPATH_START.@lsl_extracted@lsl-main@scripts@splitDRX.py@.PATH_END.py |
{
"filename": "initial_condition.py",
"repo_name": "EigenDev/simbi",
"repo_path": "simbi_extracted/simbi-main/simbi/detail/initial_condition.py",
"type": "Python"
} | # Module to config the initial condition for the SIMBI
# hydro setup. From here on, I will fragment the code
# to try and reduce the confusion between functions
import numpy as np
import h5py
import numpy.typing as npt
from ..key_types import *
from .mem import release_memory
from . import helpers
from .slogger import... | EigenDevREPO_NAMEsimbiPATH_START.@simbi_extracted@simbi-main@simbi@detail@initial_condition.py@.PATH_END.py |
{
"filename": "vacuum_study.ipynb",
"repo_name": "NumCosmo/NumCosmo",
"repo_path": "NumCosmo_extracted/NumCosmo-master/notebooks/primordial_perturbations/vacuum_study.ipynb",
"type": "Jupyter Notebook"
} | ---
**License**
VacuumStudy
Mon Jun 01 09:20:00 2020
Copyright 2020
Sandro Dias Pinto Vitenti <vitenti@uel.br>
---
---
VacuumStudy
Copyright (C) 2020 Sandro Dias Pinto Vitenti <vitenti@uel.br>
numcosmo is free software: you can redistribute it and/or modify it
under the terms of the GNU General Public Lic... | NumCosmoREPO_NAMENumCosmoPATH_START.@NumCosmo_extracted@NumCosmo-master@notebooks@primordial_perturbations@vacuum_study.ipynb@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "RuiLuoAstro/BayesWeib",
"repo_path": "BayesWeib_extracted/BayesWeib-master/utils.py",
"type": "Python"
} | import numpy as np
import scipy.special as sp
from scipy.interpolate import interp1d
class MathFunc():
def gammainc(self, alpha, x):
'''
Incomplete Gamma function including all of cases.
Args:
alpha: Power-law index argument
x: Lower limit of integral, x must >= 0
''... | RuiLuoAstroREPO_NAMEBayesWeibPATH_START.@BayesWeib_extracted@BayesWeib-master@utils.py@.PATH_END.py |
{
"filename": "_tickwidth.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickwidth.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="tickwidth", parent_name="densitymapbox.colorbar", **kwargs
):
super(TickwidthValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@densitymapbox@colorbar@_tickwidth.py@.PATH_END.py |
{
"filename": "qp_subproblem.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/optimize/_trustregion_constr/qp_subproblem.py",
"type": "Python"
} | """Equality-constrained quadratic programming solvers."""
from scipy.sparse import (linalg, bmat, csc_matrix)
from math import copysign
import numpy as np
from numpy.linalg import norm
__all__ = [
'eqp_kktfact',
'sphere_intersections',
'box_intersections',
'box_sphere_intersections',
'inside_box_b... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@optimize@_trustregion_constr@qp_subproblem.py@.PATH_END.py |
{
"filename": "imdata.py",
"repo_name": "astrosmili/smili",
"repo_path": "smili_extracted/smili-master/smili/imdata/imdata.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
'''
This is a sub-module of smili handling image fits data.
'''
__author__ = "Smili Developer Team"
#-------------------------------------------------------------------------
# Modules
#-----------------------... | astrosmiliREPO_NAMEsmiliPATH_START.@smili_extracted@smili-master@smili@imdata@imdata.py@.PATH_END.py |
{
"filename": "JPL_ephemerides.py",
"repo_name": "ebachelet/pyLIMA",
"repo_path": "pyLIMA_extracted/pyLIMA-master/pyLIMA/parallax/JPL_ephemerides.py",
"type": "Python"
} | import numpy as np
from astroquery.jplhorizons import Horizons
TIMEOUT_JPL = 120 # seconds. The time you allow telnetlib to discuss with JPL,
# see space_parallax.
JPL_TYPICAL_REQUEST_TIME_PER_LINE = 0.002 # seconds.
JPL_HORIZONS_ID = {
'Geocentric': '500',
'Kepler': '-227',
'Spitzer': '-79',
'HST':... | ebacheletREPO_NAMEpyLIMAPATH_START.@pyLIMA_extracted@pyLIMA-master@pyLIMA@parallax@JPL_ephemerides.py@.PATH_END.py |
{
"filename": "test_jax.py",
"repo_name": "Jammy2211/PyAutoLens",
"repo_path": "PyAutoLens_extracted/PyAutoLens-main/test_autolens/point/triangles/test_jax.py",
"type": "Python"
} | import autofit as af
from autogalaxy.profiles.mass import Isothermal
def test_isothermal_pytree():
model = af.Model(Isothermal)
children, aux = model.instance_flatten(Isothermal())
instance = model.instance_unflatten(aux, children)
assert isinstance(instance, Isothermal)
assert instance.centre =... | Jammy2211REPO_NAMEPyAutoLensPATH_START.@PyAutoLens_extracted@PyAutoLens-main@test_autolens@point@triangles@test_jax.py@.PATH_END.py |
{
"filename": "python_export.py",
"repo_name": "glue-viz/glue",
"repo_path": "glue_extracted/glue-main/glue/viewers/scatter/python_export.py",
"type": "Python"
} | from glue.viewers.common.python_export import code, serialize_options
def python_export_scatter_layer(layer, *args):
if len(layer.mpl_artists) == 0 or not layer.enabled or not layer.visible:
return [], None
script = ""
imports = ["import numpy as np"]
polar = layer._viewer_state.using_polar... | glue-vizREPO_NAMEgluePATH_START.@glue_extracted@glue-main@glue@viewers@scatter@python_export.py@.PATH_END.py |
{
"filename": "Running-on-privileged-ports.md",
"repo_name": "crossbario/crossbar",
"repo_path": "crossbar_extracted/crossbar-master/docs-old/pages/administration/production/Running-on-privileged-ports.md",
"type": "Markdown"
} | title: Running on Privileged Ports
toc: [Documentation, Administration, Going to Production, Running on Privileged Ports]
# Running on Privileged Ports
For production, you might want to:
* make Crossbar.io listen on ports 80/443, which are the standard ports for both HTTP(S) and (secure) WebSocket
* run Crossbar.io ... | crossbarioREPO_NAMEcrossbarPATH_START.@crossbar_extracted@crossbar-master@docs-old@pages@administration@production@Running-on-privileged-ports.md@.PATH_END.py |
{
"filename": "tests.py",
"repo_name": "parkus/ffd",
"repo_path": "ffd_extracted/ffd-master/tests.py",
"type": "Python"
} | from __future__ import division, print_function, absolute_import
from . import powerlaw
from . import data_structures
from matplotlib import pyplot as plt
import numpy as np
def simple_ffd(a_true=1., emin=1., emax=100., n_events=10, n_trials=1000):
"""Determine if the correct value of a_true is estimated."""
... | parkusREPO_NAMEffdPATH_START.@ffd_extracted@ffd-master@tests.py@.PATH_END.py |
{
"filename": "rv-to-gsr.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/examples/coordinates/rv-to-gsr.py",
"type": "Python"
} | """
================================================================
Convert a radial velocity to the Galactic Standard of Rest (GSR)
================================================================
Radial or line-of-sight velocities of sources are often reported in a
Heliocentric or Solar-system barycentric reference... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@examples@coordinates@rv-to-gsr.py@.PATH_END.py |
{
"filename": "plotStands.py",
"repo_name": "lwa-project/lsl",
"repo_path": "lsl_extracted/lsl-main/scripts/plotStands.py",
"type": "Python"
} | #!/usr/bin/env python3
"""
Example script to read in the positions of stands at LWA-1 and make a plot
of the site.
"""
import sys
import numpy as np
import argparse
from lsl.common import stations, metabundle
import matplotlib.pyplot as plt
from matplotlib.ticker import NullFormatter
from lsl.misc import telemetry... | lwa-projectREPO_NAMElslPATH_START.@lsl_extracted@lsl-main@scripts@plotStands.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "saopicc/DDFacet",
"repo_path": "DDFacet_extracted/DDFacet-master/SkyModel/Sky/__init__.py",
"type": "Python"
} | saopiccREPO_NAMEDDFacetPATH_START.@DDFacet_extracted@DDFacet-master@SkyModel@Sky@__init__.py@.PATH_END.py | |
{
"filename": "corner.py",
"repo_name": "3fon3fonov/exostriker",
"repo_path": "exostriker_extracted/exostriker-main/exostriker/lib/corner_ES/corner.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
__all__ = "corner"
import logging
import numpy as np
from .core import corner_impl
try:
from .arviz_corner import arviz_corner
except ImportError:
arviz_corner = None
def corner(
data,
bins=20,
*,
# Original corner parameters
range=None,
axes_scale="linear"... | 3fon3fonovREPO_NAMEexostrikerPATH_START.@exostriker_extracted@exostriker-main@exostriker@lib@corner_ES@corner.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/scatter3d/line/colorbar/title/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
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@py3@plotly@graph_objs@scatter3d@line@colorbar@title@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "yaojian95/ForSEplus",
"repo_path": "ForSEplus_extracted/ForSEplus-main/src/ForSEplus/__init__.py",
"type": "Python"
} | # Version of the realpython-reader package
__version__ = "1.0.0-pre" | yaojian95REPO_NAMEForSEplusPATH_START.@ForSEplus_extracted@ForSEplus-main@src@ForSEplus@__init__.py@.PATH_END.py |
{
"filename": "_uirevision.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/volume/_uirevision.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="uirevision", parent_name="volume", **kwargs):
super(UirevisionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@volume@_uirevision.py@.PATH_END.py |
{
"filename": "spd_pgs_make_e_spec.py",
"repo_name": "spedas/pyspedas",
"repo_path": "pyspedas_extracted/pyspedas-master/pyspedas/particles/spd_part_products/spd_pgs_make_e_spec.py",
"type": "Python"
} |
import numpy as np
# use nanmean from bottleneck if it's installed, otherwise use the numpy one
try:
import bottleneck as bn
nanmean = bn.nanmean
except ImportError:
nanmean = np.nanmean
def spd_pgs_make_e_spec(data_in):
"""
Builds energy spectrogram from the particle data structure
Par... | spedasREPO_NAMEpyspedasPATH_START.@pyspedas_extracted@pyspedas-master@pyspedas@particles@spd_part_products@spd_pgs_make_e_spec.py@.PATH_END.py |
{
"filename": "exampleSanity.py",
"repo_name": "sczesla/PyAstronomy",
"repo_path": "PyAstronomy_extracted/PyAstronomy-master/src/modelSuite/exampleSanity.py",
"type": "Python"
} | from __future__ import print_function, division
import unittest
import os
class TestModSuiteSanity(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
# Clean up example output from KeplerEllipseModel example
if os.path.isfile("kemExample.emcee"):
os.remove("kem... | sczeslaREPO_NAMEPyAstronomyPATH_START.@PyAstronomy_extracted@PyAstronomy-master@src@modelSuite@exampleSanity.py@.PATH_END.py |
{
"filename": "_y.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/xaxis/rangeselector/_y.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class YValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="y", parent_name="layout.xaxis.rangeselector", **kwargs
):
super(YValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@xaxis@rangeselector@_y.py@.PATH_END.py |
{
"filename": "ColorzKcorr.ipynb",
"repo_name": "imcgreer/simqso",
"repo_path": "simqso_extracted/simqso-master/examples/ColorzKcorr.ipynb",
"type": "Jupyter Notebook"
} | ```python
%pylab inline
from astropy.cosmology import WMAP9
from simqso.sqrun import generate_default_binned_forest
from simqso.hiforest import MeanIGMTransmissionGrid
from simqso import sqmodels
from simqso.sqgrids import *
from simqso.sqbase import fixed_R_dispersion
from simqso.sqrun import buildSpectraBulk
```
... | imcgreerREPO_NAMEsimqsoPATH_START.@simqso_extracted@simqso-master@examples@ColorzKcorr.ipynb@.PATH_END.py |
{
"filename": "cosmos_db.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/memory/chat_message_histories/cosmos_db.py",
"type": "Python"
} | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.chat_message_histories import CosmosDBChatMessageHistory
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handlin... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@memory@chat_message_histories@cosmos_db.py@.PATH_END.py |
{
"filename": "methodwrapper.py",
"repo_name": "astroufsc/chimera",
"repo_path": "chimera_extracted/chimera-master/src/chimera/core/methodwrapper.py",
"type": "Python"
} | #! /usr/bin/env python
# -*- coding: iso-8859-1 -*-
# chimera - observatory automation system
# Copyright (C) 2006-2007 P. Henrique Silva <henrique@astro.ufsc.br>
# 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 S... | astroufscREPO_NAMEchimeraPATH_START.@chimera_extracted@chimera-master@src@chimera@core@methodwrapper.py@.PATH_END.py |
{
"filename": "test_type_check.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/numpy/lib/tests/test_type_check.py",
"type": "Python"
} | from __future__ import division, absolute_import, print_function
import numpy as np
from numpy.compat import long
from numpy.testing import (
assert_, assert_equal, assert_array_equal, run_module_suite, assert_raises
)
from numpy.lib.type_check import (
common_type, mintypecode, isreal, iscomplex, isposinf... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@numpy@lib@tests@test_type_check.py@.PATH_END.py |
{
"filename": "_showticklabels.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/contour/colorbar/_showticklabels.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="showticklabels", parent_name="contour.colorbar", **kwargs
):
super(ShowticklabelsValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@contour@colorbar@_showticklabels.py@.PATH_END.py |
{
"filename": "struct.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/tools/python3/Lib/struct.py",
"type": "Python"
} | __all__ = [
# Functions
'calcsize', 'pack', 'pack_into', 'unpack', 'unpack_from',
'iter_unpack',
# Classes
'Struct',
# Exceptions
'error'
]
from _struct import *
from _struct import _clearcache
from _struct import __doc__
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@tools@python3@Lib@struct.py@.PATH_END.py |
{
"filename": "function_helpers.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/uncertainty/function_helpers.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""Helpers for letting numpy functions interact with distributions.
The module supplies helper routines for numpy functions that propagate
distributions appropriately., for use in the ``__array_function__``
implementation of `~astropy.uncertainty.core.Dis... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@uncertainty@function_helpers.py@.PATH_END.py |
{
"filename": "Mb.py",
"repo_name": "CobayaSampler/cobaya",
"repo_path": "cobaya_extracted/cobaya-master/cobaya/likelihoods/base_classes/Mb.py",
"type": "Python"
} | r"""
.. module:: Mb
:Synopsis: Prototype class for local Hubble parameter measurements quantified in terms
of the magnitude measurement (closer to what is measured than H0)
:Author: Pablo Lemos
"""
from cobaya.likelihood import Likelihood
class Mb(Likelihood):
# Data type for aggregated chi2 (case sensitive... | CobayaSamplerREPO_NAMEcobayaPATH_START.@cobaya_extracted@cobaya-master@cobaya@likelihoods@base_classes@Mb.py@.PATH_END.py |
{
"filename": "nn_utils.py",
"repo_name": "sbi-dev/sbi",
"repo_path": "sbi_extracted/sbi-main/sbi/utils/nn_utils.py",
"type": "Python"
} | # import all needed modules
from typing import Optional
from warnings import warn
from torch import Tensor, nn
def get_numel(
batch_input: Tensor,
embedding_net: Optional[nn.Module] = None,
warn_on_1d: bool = False,
) -> int:
"""
Return number of elements from an embedded batch of inputs.
Of... | sbi-devREPO_NAMEsbiPATH_START.@sbi_extracted@sbi-main@sbi@utils@nn_utils.py@.PATH_END.py |
{
"filename": "observation.py",
"repo_name": "richteague/disksurf",
"repo_path": "disksurf_extracted/disksurf-master/disksurf/observation.py",
"type": "Python"
} | from astropy.convolution import convolve, Gaussian2DKernel
from scipy.ndimage import convolve1d
from scipy.signal import find_peaks
import matplotlib.pyplot as plt
from .surface import surface
from gofish import imagecube
import numpy as np
class observation(imagecube):
"""
Wrapper of a GoFish imagecube class... | richteagueREPO_NAMEdisksurfPATH_START.@disksurf_extracted@disksurf-master@disksurf@observation.py@.PATH_END.py |
{
"filename": "utilities.py",
"repo_name": "e-koch/FilFinder",
"repo_path": "FilFinder_extracted/FilFinder-master/fil_finder/utilities.py",
"type": "Python"
} | # Licensed under an MIT open source license - see LICENSE
"""
Utility functions for fil-finder package
"""
import itertools
import numpy as np
def find_nearest(array, value):
idx = (np.abs(array - value)).argmin()
return array[idx]
#########################################################################... | e-kochREPO_NAMEFilFinderPATH_START.@FilFinder_extracted@FilFinder-master@fil_finder@utilities.py@.PATH_END.py |
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