metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "test_jwsttap.py",
"repo_name": "astropy/astroquery",
"repo_path": "astroquery_extracted/astroquery-main/astroquery/esa/jwst/tests/test_jwsttap.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
===============
eJWST TAP tests
===============
European Space Astronomy Centre (ESAC)
European Space Agency (ESA)
"""
import os
import shutil
from pathlib import Path
from unittest.mock import MagicMock, patch
import sys
import io
import astropy.un... | astropyREPO_NAMEastroqueryPATH_START.@astroquery_extracted@astroquery-main@astroquery@esa@jwst@tests@test_jwsttap.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/tools/cython/Cython/Tests/__init__.py",
"type": "Python"
} | # empty file
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@tools@cython@Cython@Tests@__init__.py@.PATH_END.py |
{
"filename": "read_h5.py",
"repo_name": "piernik-dev/piernik",
"repo_path": "piernik_extracted/piernik-master/python/read_h5.py",
"type": "Python"
} | #!/usr/bin/python
# -*- coding: utf-8 -*-
import h5py
import os
import sys
from colored_io import prtinfo, prtwarn, read_var, die
if (sys.version[0:3] != "2.7"):
raw_input = input
not_py27 = True
else:
not_py27 = False
# For use with PIERNIK.
# Script recognizes integers, floats, logical and string variabl... | piernik-devREPO_NAMEpiernikPATH_START.@piernik_extracted@piernik-master@python@read_h5.py@.PATH_END.py |
{
"filename": "opticalPath.py",
"repo_name": "ExObsSim/ExoRad2-public",
"repo_path": "ExoRad2-public_extracted/ExoRad2-public-master/exorad/models/optics/opticalPath.py",
"type": "Python"
} | import copy
from collections import OrderedDict
import astropy.constants as const
import astropy.units as u
import numpy as np
from astropy.table import hstack
from astropy.table import QTable
from exorad.log import Logger
from exorad.models.optics.opticalElement import OpticalElement
from exorad.models.signal import... | ExObsSimREPO_NAMEExoRad2-publicPATH_START.@ExoRad2-public_extracted@ExoRad2-public-master@exorad@models@optics@opticalPath.py@.PATH_END.py |
{
"filename": "05aDensitySensitivity.py",
"repo_name": "MehrnooshTahani/MC-BLOS",
"repo_path": "MC-BLOS_extracted/MC-BLOS-main/MolecularClouds/05aDensitySensitivity.py",
"type": "Python"
} | """
This is the fifth stage of the BLOSMapping method where the dependence on density is assessed.
- All parameters except for density are held constant, and the magnetic field is calculated with electron abundances
corresponding to changes of 0 and +/- 1, 2.5, 5, 10, 20, 20, 40, and 50 % the fiducial input den... | MehrnooshTahaniREPO_NAMEMC-BLOSPATH_START.@MC-BLOS_extracted@MC-BLOS-main@MolecularClouds@05aDensitySensitivity.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "MikeSWang/Harmonia",
"repo_path": "Harmonia_extracted/Harmonia-master/docs/source/conf.py",
"type": "Python"
} | import os
import sys
sys.path.insert(0, os.path.abspath('../../'))
# -- Project information -----------------------------------------------------
author = 'Mike Shengbo Wang'
copyright = ' Copyright 2020, Mike Shengbo Wang'
project = 'Harmonia'
release = '0.1'
# -- General configuration --------------------------... | MikeSWangREPO_NAMEHarmoniaPATH_START.@Harmonia_extracted@Harmonia-master@docs@source@conf.py@.PATH_END.py |
{
"filename": "cfis-cat.py",
"repo_name": "legacysurvey/imagine",
"repo_path": "imagine_extracted/imagine-main/cfis-cat.py",
"type": "Python"
} | import numpy as np
from astrometry.util.fits import *
from argparse import ArgumentParser
def main():
parser = ArgumentParser()
parser.add_argument('infns', nargs='+')
opts = parser.parse_args()
Nap = 20
cols = (('cfis_id x_image y_image ra dec ' +
'u_mag_auto u_magerr_auto u_mag_best... | legacysurveyREPO_NAMEimaginePATH_START.@imagine_extracted@imagine-main@cfis-cat.py@.PATH_END.py |
{
"filename": "rfi_inspect_2458097.ipynb",
"repo_name": "HERA-Team/H1C_IDR3_Notebooks",
"repo_path": "H1C_IDR3_Notebooks-main/rfi_inspect/rfi_inspect_2458097.ipynb",
"type": "Jupyter Notebook"
} | # RFI Inspection Daily RTP Notebook
```python
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
import glob
import os
from astropy import units
from copy import deepcopy
from pyuvdata import UVFlag
import matplotlib.colors as colors
from matplotlib import cm
%matplotlib inline
%config InlineBacken... | HERA-TeamREPO_NAMEH1C_IDR3_NotebooksPATH_START.@H1C_IDR3_Notebooks-main@rfi_inspect@rfi_inspect_2458097.ipynb@.PATH_END.py |
{
"filename": "_family.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatter3d/marker/colorbar/title/font/_family.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="family",
parent_name="scatter3d.marker.colorbar.title.font",
**kwargs,
):
super(FamilyValidator, self).__init__(
plotly_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatter3d@marker@colorbar@title@font@_family.py@.PATH_END.py |
{
"filename": "pols.md",
"repo_name": "MWATelescope/mwa_hyperdrive",
"repo_path": "mwa_hyperdrive_extracted/mwa_hyperdrive-main/mdbook/src/defs/pols.md",
"type": "Markdown"
} | # Instrumental polarisations
In `hyperdrive` (and [`mwalib`](https://github.com/MWATelescope/mwalib) and
[`hyperbeam`](https://github.com/MWATelescope/mwa_hyperbeam)), the X
polarisation refers to the East-West dipoles and the Y refers to North-South.
Note that this contrasts with the IAU definition of X and Y, which ... | MWATelescopeREPO_NAMEmwa_hyperdrivePATH_START.@mwa_hyperdrive_extracted@mwa_hyperdrive-main@mdbook@src@defs@pols.md@.PATH_END.py |
{
"filename": "paper.md",
"repo_name": "afeinstein20/stella",
"repo_path": "stella_extracted/stella-main/paper.md",
"type": "Markdown"
} | ---
title: '\texttt{stella}: Convolutional Neural Networks for Flare Identification in \textit{TESS}'
tags:
- Python
- astronomy
- PMS stars
- stellar activity
- stellar rotation
authors:
- name: Adina D. Feinstein
orcid: 0000-0002-9464-8101
affiliation: "1, 2"
- name: Benjamin T. Montet
orci... | afeinstein20REPO_NAMEstellaPATH_START.@stella_extracted@stella-main@paper.md@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "j0r1/GRALE2",
"repo_path": "GRALE2_extracted/GRALE2-master/pygrale/doc/source/conf.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# pygrale documentation build configuration file, created by
# sphinx-quickstart on Fri May 13 17:36:32 2016.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# au... | j0r1REPO_NAMEGRALE2PATH_START.@GRALE2_extracted@GRALE2-master@pygrale@doc@source@conf.py@.PATH_END.py |
{
"filename": "_tickvals.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/parcoords/line/colorbar/_tickvals.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self, plotly_name="tickvals", parent_name="parcoords.line.colorbar", **kwargs
):
super(TickvalsValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@parcoords@line@colorbar@_tickvals.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/choroplethmapbox/colorbar/tickformatstop/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._value import ValueValidator
from ._templateitemname import TemplateitemnameValidator
from ._name import NameValidator
from ._enabled import EnabledValidator
from ._dtickrange import DtickrangeValidator... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@choroplethmapbox@colorbar@tickformatstop@__init__.py@.PATH_END.py |
{
"filename": "application.py",
"repo_name": "xraypy/xraylarch",
"repo_path": "xraylarch_extracted/xraylarch-master/larch/qtrixs/application.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
RIXS GUI APPLICATION
====================
"""
import sys
import argparse
import signal
from larch.utils.logging import getLogger
_logger = getLogger('lach.qtrixs.application')
def createParser():
"""Application parser"""
parser = argparse.ArgumentParser(descr... | xraypyREPO_NAMExraylarchPATH_START.@xraylarch_extracted@xraylarch-master@larch@qtrixs@application.py@.PATH_END.py |
{
"filename": "_cmin.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/sunburst/marker/_cmin.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class CminValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="cmin", parent_name="sunburst.marker", **kwargs):
super(CminValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@sunburst@marker@_cmin.py@.PATH_END.py |
{
"filename": "dataloader.py",
"repo_name": "DaneSpaeth/pyoscillot",
"repo_path": "pyoscillot_extracted/pyoscillot-main/pyoscillot/dataloader.py",
"type": "Python"
} | from astropy.io import fits
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
from numpy.polynomial import Polynomial
import wget
import pandas as pd
from cfg import parse_global_ini
# import idlsave
global_dict = parse_global_ini()
DATAROOT = global_dict["datapath"]
def phoenix_spectrum(Te... | DaneSpaethREPO_NAMEpyoscillotPATH_START.@pyoscillot_extracted@pyoscillot-main@pyoscillot@dataloader.py@.PATH_END.py |
{
"filename": "extract_chart_studio.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/_plotly_future_/extract_chart_studio.py",
"type": "Python"
} | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@_plotly_future_@extract_chart_studio.py@.PATH_END.py | |
{
"filename": "plot_fNL_local.py",
"repo_name": "ds283/CppTransport",
"repo_path": "CppTransport_extracted/CppTransport-master/Documentation/Examples/plot_fNL_local.py",
"type": "Python"
} | import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import csv
with open('/Users/ds283/Desktop/fNL_local.csv') as f:
time = []
fNL_local = []
reader = csv.DictReader(f)
for row in reader:
time.append(float(row['time']))
fNL_local.append(float(row['fNL']))
time... | ds283REPO_NAMECppTransportPATH_START.@CppTransport_extracted@CppTransport-master@Documentation@Examples@plot_fNL_local.py@.PATH_END.py |
{
"filename": "generic_ecsv_reader.py",
"repo_name": "astropy/specutils",
"repo_path": "specutils_extracted/specutils-main/specutils/io/default_loaders/generic_ecsv_reader.py",
"type": "Python"
} | import os
from astropy.table import Table
from ...spectra import Spectrum1D
from ..registers import data_loader
from ..parsing_utils import (generic_spectrum_from_table,
spectrum_from_column_mapping)
def identify_ecsv(origin, *args, **kwargs):
"""Check if it's an ECSV file."""
r... | astropyREPO_NAMEspecutilsPATH_START.@specutils_extracted@specutils-main@specutils@io@default_loaders@generic_ecsv_reader.py@.PATH_END.py |
{
"filename": "test_priors.py",
"repo_name": "mj-will/nessai",
"repo_path": "nessai_extracted/nessai-main/tests/test_priors.py",
"type": "Python"
} | """
Test the prior functions.
"""
import numpy as np
import pytest
from nessai import priors
def test_uniform_in_bounds():
"""Test behaviour if x is out of bounds"""
assert priors.log_uniform_prior(0) == 0.0
def test_uniform_out_of_bounds():
"""Test behaviour if x is out of bounds"""
assert priors... | mj-willREPO_NAMEnessaiPATH_START.@nessai_extracted@nessai-main@tests@test_priors.py@.PATH_END.py |
{
"filename": "_y.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/annotation/_y.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class YValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="y", parent_name="layout.annotation", **kwargs):
super(YValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@annotation@_y.py@.PATH_END.py |
{
"filename": "variable.py",
"repo_name": "rhayes777/PyAutoFit",
"repo_path": "PyAutoFit_extracted/PyAutoFit-main/autofit/mapper/variable.py",
"type": "Python"
} | from itertools import chain, count
from typing import Optional, Tuple, Dict, Set, Union, List, TYPE_CHECKING
import operator
from abc import ABC, abstractmethod
from functools import wraps, reduce
from math import sqrt
import numpy as np
from autoconf import cached_property
from autofit.mapper.model_object import Mod... | rhayes777REPO_NAMEPyAutoFitPATH_START.@PyAutoFit_extracted@PyAutoFit-main@autofit@mapper@variable.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "qubvel/segmentation_models",
"repo_path": "segmentation_models_extracted/segmentation_models-master/setup.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Note: To use the 'upload' functionality of this file, you must:
# $ pip install twine
import io
import os
import sys
from shutil import rmtree
from setuptools import find_packages, setup, Command
# Package meta-data.
NAME = 'segmentation_models'
DESCRIPTION = 'Image... | qubvelREPO_NAMEsegmentation_modelsPATH_START.@segmentation_models_extracted@segmentation_models-master@setup.py@.PATH_END.py |
{
"filename": "_bgcolor.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_bgcolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="bgcolor", parent_name="sunburst.hoverlabel", **kwargs
):
super(BgcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_nam... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@sunburst@hoverlabel@_bgcolor.py@.PATH_END.py |
{
"filename": "versioneer.py",
"repo_name": "Smithsonian/ngehtsim",
"repo_path": "ngehtsim_extracted/ngehtsim-main/versioneer.py",
"type": "Python"
} |
# Version: 0.22
"""The Versioneer - like a rocketeer, but for versions.
The Versioneer
==============
* like a rocketeer, but for versions!
* https://github.com/python-versioneer/python-versioneer
* Brian Warner
* License: Public Domain
* Compatible with: Python 3.6, 3.7, 3.8, 3.9, 3.10 and pypy3
* [![Latest Versio... | SmithsonianREPO_NAMEngehtsimPATH_START.@ngehtsim_extracted@ngehtsim-main@versioneer.py@.PATH_END.py |
{
"filename": "_value.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/splom/marker/colorbar/tickformatstop/_value.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ValueValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="value",
parent_name="splom.marker.colorbar.tickformatstop",
**kwargs
):
super(ValueValidator, self).__init__(
plotly_name... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@splom@marker@colorbar@tickformatstop@_value.py@.PATH_END.py |
{
"filename": "WASP-62b_sim_data_retrieval.py",
"repo_name": "MartianColonist/POSEIDON",
"repo_path": "POSEIDON_extracted/POSEIDON-main/docs/content/notebooks/WASP-62b_sim_data_retrieval.py",
"type": "Python"
} | from POSEIDON.constants import R_Sun, R_J
from POSEIDON.core import create_star, create_planet, load_data, define_model, \
wl_grid_constant_R, set_priors, read_opacities
from POSEIDON.visuals import plot_data, plot_spectra_retrieved, plot_PT_retrieved, \
plot_chem_... | MartianColonistREPO_NAMEPOSEIDONPATH_START.@POSEIDON_extracted@POSEIDON-main@docs@content@notebooks@WASP-62b_sim_data_retrieval.py@.PATH_END.py |
{
"filename": "test_core.py",
"repo_name": "astropy/photutils",
"repo_path": "photutils_extracted/photutils-main/photutils/morphology/tests/test_core.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
Tests for the core module.
"""
import numpy as np
import pytest
from numpy.testing import assert_allclose
from photutils.datasets import make_wcs
from photutils.morphology import data_properties
from photutils.utils._optional_deps import HAS_SKIMAGE
... | astropyREPO_NAMEphotutilsPATH_START.@photutils_extracted@photutils-main@photutils@morphology@tests@test_core.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "icrar/daliuge",
"repo_path": "daliuge_extracted/daliuge-master/daliuge-translator/setup.py",
"type": "Python"
} | #
# ICRAR - International Centre for Radio Astronomy Research
# (c) UWA - The University of Western Australia, 2020
# Copyright by UWA (in the framework of the ICRAR)
# All rights reserved
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser G... | icrarREPO_NAMEdaliugePATH_START.@daliuge_extracted@daliuge-master@daliuge-translator@setup.py@.PATH_END.py |
{
"filename": "rrattrap.py",
"repo_name": "scottransom/presto",
"repo_path": "presto_extracted/presto-master/bin/rrattrap.py",
"type": "Python"
} | ../python/presto/singlepulse/rrattrap.py | scottransomREPO_NAMEprestoPATH_START.@presto_extracted@presto-master@bin@rrattrap.py@.PATH_END.py |
{
"filename": "test_python_sockets_implementation.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/src/amuse/test/suite/compile_tests/test_python_sockets_implementation.py",
"type": "Python"
} | from amuse.support.interface import InCodeComponentImplementation
from amuse.test.amusetest import TestWithMPI, TestCase
import numpy
import sys
import os
import time
from amuse.units import nbody_system
from amuse.units import units
from amuse import datamodel
from amuse.rfi import python_code
from amuse.rfi.core im... | amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@src@amuse@test@suite@compile_tests@test_python_sockets_implementation.py@.PATH_END.py |
{
"filename": "simulation_attributes.py",
"repo_name": "dnarayanan/caesar",
"repo_path": "caesar_extracted/caesar-master/caesar/simulation_attributes.py",
"type": "Python"
} | import numpy as np
from yt.funcs import mylog
class SimulationAttributes(object):
"""A class to hold simulation attributes."""
def __init__(self):
pass
def create_attributes(self, obj):
"""After loading in a yt dataset, store local attributes here."""
ds = obj.yt_dataset
s... | dnarayananREPO_NAMEcaesarPATH_START.@caesar_extracted@caesar-master@caesar@simulation_attributes.py@.PATH_END.py |
{
"filename": "test_engdb_tools.py",
"repo_name": "spacetelescope/jwst",
"repo_path": "jwst_extracted/jwst-main/jwst/lib/tests/test_engdb_tools.py",
"type": "Python"
} | """
Test suite for engdb_tools
Notes
-----
This file has been named specifically so it is not
automatically found by py.test. This is because, to test,
a connection to the internal engineering service is needed,
which is generally not available.
"""
import os
import pytest
import requests
from astropy.time import Tim... | spacetelescopeREPO_NAMEjwstPATH_START.@jwst_extracted@jwst-main@jwst@lib@tests@test_engdb_tools.py@.PATH_END.py |
{
"filename": "ISSUE_TEMPLATE.md",
"repo_name": "NannyML/nannyml",
"repo_path": "nannyml_extracted/nannyml-main/.github/ISSUE_TEMPLATE.md",
"type": "Markdown"
} | * nannyml version:
* Python version:
* Operating System:
### Description
Describe what you were trying to get done.
Tell us what happened, what went wrong, and what you expected to happen.
### What I Did
```
Paste the command(s) you ran and the output.
If there was a crash, please include the traceback here.
```
| NannyMLREPO_NAMEnannymlPATH_START.@nannyml_extracted@nannyml-main@.github@ISSUE_TEMPLATE.md@.PATH_END.py |
{
"filename": "mypy_plugin.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/numpy/py3/numpy/typing/mypy_plugin.py",
"type": "Python"
} | """A mypy_ plugin for managing a number of platform-specific annotations.
Its functionality can be split into three distinct parts:
* Assigning the (platform-dependent) precisions of certain `~numpy.number`
subclasses, including the likes of `~numpy.int_`, `~numpy.intp` and
`~numpy.longlong`. See the documentation... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@numpy@py3@numpy@typing@mypy_plugin.py@.PATH_END.py |
{
"filename": "merge_benchmark.py",
"repo_name": "keras-team/keras",
"repo_path": "keras_extracted/keras-master/benchmarks/layer_benchmark/merge_benchmark.py",
"type": "Python"
} | """Benchmark merge layers.
To run benchmarks, see the following command for an example, please change the
flag to your custom value:
```
python3 -m benchmarks.layer_benchmark.merge_benchmark \
--benchmark_name=benchmark_add \
--num_samples=2048 \
--batch_size=256 \
--jit_compile=True
```
"""
from abs... | keras-teamREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@benchmarks@layer_benchmark@merge_benchmark.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/cffi/py3/cffi/__init__.py",
"type": "Python"
} | __all__ = ['FFI', 'VerificationError', 'VerificationMissing', 'CDefError',
'FFIError']
from .api import FFI
from .error import CDefError, FFIError, VerificationError, VerificationMissing
from .error import PkgConfigError
__version__ = "1.17.1"
__version_info__ = (1, 17, 1)
# The verifier module file names... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@cffi@py3@cffi@__init__.py@.PATH_END.py |
{
"filename": "_show.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/isosurface/slices/x/_show.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="show", parent_name="isosurface.slices.x", **kwargs):
super(ShowValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@isosurface@slices@x@_show.py@.PATH_END.py |
{
"filename": "yandex.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/embeddings/yandex.py",
"type": "Python"
} | """Wrapper around YandexGPT embedding models."""
from __future__ import annotations
import logging
import time
from typing import Any, Callable, Dict, List, Sequence
from langchain_core.embeddings import Embeddings
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env, pre_init
from pydantic i... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@embeddings@yandex.py@.PATH_END.py |
{
"filename": "wave_sol.py",
"repo_name": "ideasrule/sparta",
"repo_path": "sparta_extracted/sparta-master/wave_sol.py",
"type": "Python"
} | from astropy.io import fits
import os.path
import numpy as np
from constants import WCS_FILE, LEFT, RIGHT
def get_wavelengths(instrument, instrument_filter):
#Work in progress
if instrument == "MIRI":
with fits.open(WCS_FILE) as hdul:
#Subtraction is necessary because image is rotated
... | ideasruleREPO_NAMEspartaPATH_START.@sparta_extracted@sparta-master@wave_sol.py@.PATH_END.py |
{
"filename": "test_clusters.py",
"repo_name": "htjb/margarine",
"repo_path": "margarine_extracted/margarine-master/tests/test_clusters.py",
"type": "Python"
} | import numpy as np
from anesthetic import MCMCSamples
from margarine.clustered import clusterMAF
from margarine.marginal_stats import calculate
import pytest
from numpy.testing import assert_equal, assert_allclose
from scipy.stats import ks_2samp
from clustered_distributions import TwoMoons
def D_KL(logL, weights):
... | htjbREPO_NAMEmargarinePATH_START.@margarine_extracted@margarine-master@tests@test_clusters.py@.PATH_END.py |
{
"filename": "test_angular_separation.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/coordinates/tests/test_angular_separation.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
Tests for the projected separation stuff
"""
import numpy as np
import pytest
from astropy import units as u
from astropy.coordinates import Angle
from astropy.coordinates.builtin_frames import ICRS
# lon1, lat1, lon2, lat2 in degrees
coords = [
... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@coordinates@tests@test_angular_separation.py@.PATH_END.py |
{
"filename": "_size.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/surface/contours/x/_size.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="size", parent_name="surface.contours.x", **kwargs):
super(SizeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@surface@contours@x@_size.py@.PATH_END.py |
{
"filename": "plot_semi_supervised_versus_svm_iris.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/examples/semi_supervised/plot_semi_supervised_versus_svm_iris.py",
"type": "Python"
} | """
===============================================================================
Decision boundary of semi-supervised classifiers versus SVM on the Iris dataset
===============================================================================
A comparison for the decision boundaries generated on the iris dataset
by L... | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@examples@semi_supervised@plot_semi_supervised_versus_svm_iris.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatterpolar/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._visible import VisibleValidator
from ._unselected import UnselectedValidator
from ._uirevision import UirevisionValidator
from ._uid import UidValidator
from ._thetaunit import ThetaunitValidator
from ._thetasrc import ThetasrcValidator
from .... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatterpolar@__init__.py@.PATH_END.py |
{
"filename": "validate_onthefly.py",
"repo_name": "supernnova/SuperNNova",
"repo_path": "SuperNNova_extracted/SuperNNova-main/python/supernnova/validation/validate_onthefly.py",
"type": "Python"
} | import json
import torch
import numpy as np
import pandas as pd
from pathlib import Path
from supernnova.utils import data_utils
import supernnova.utils.logging_utils as lu
from supernnova.conf import get_norm_from_model
from supernnova.utils import experiment_settings
from supernnova.utils import training_utils as tu
... | supernnovaREPO_NAMESuperNNovaPATH_START.@SuperNNova_extracted@SuperNNova-main@python@supernnova@validation@validate_onthefly.py@.PATH_END.py |
{
"filename": "autobatch.py",
"repo_name": "ultralytics/yolov5",
"repo_path": "yolov5_extracted/yolov5-master/utils/autobatch.py",
"type": "Python"
} | # Ultralytics YOLOv5 🚀, AGPL-3.0 license
"""Auto-batch utils."""
from copy import deepcopy
import numpy as np
import torch
from utils.general import LOGGER, colorstr
from utils.torch_utils import profile
def check_train_batch_size(model, imgsz=640, amp=True):
"""Checks and computes optimal training batch size... | ultralyticsREPO_NAMEyolov5PATH_START.@yolov5_extracted@yolov5-master@utils@autobatch.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/constants/tests/__init__.py",
"type": "Python"
} | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@constants@tests@__init__.py@.PATH_END.py | |
{
"filename": "density_models.py",
"repo_name": "spaceml-org/karman",
"repo_path": "karman_extracted/karman-main/karman/density_models.py",
"type": "Python"
} | import torch
import pickle as pk
import pandas as pd
import numpy as np
import os
from tft_torch import tft
from omegaconf import OmegaConf
torch.set_default_dtype(torch.float32)
from . import nn
from . import util
from importlib.resources import files
#let's load the necessary scalers
scalers_dict={}
keys_time_serie... | spaceml-orgREPO_NAMEkarmanPATH_START.@karman_extracted@karman-main@karman@density_models.py@.PATH_END.py |
{
"filename": "testidefix.py",
"repo_name": "idefix-code/idefix",
"repo_path": "idefix_extracted/idefix-master/test/Pluto/HD/sod/python/testidefix.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 5 11:29:41 2020
@author: glesur
"""
import idefixTools as idfx
import sod
import sys
import argparse
import numpy as np
import matplotlib.pyplot as plt
from scipy.interpolate import interp1d
parser = argparse.ArgumentParser()
parser.add_argument(... | idefix-codeREPO_NAMEidefixPATH_START.@idefix_extracted@idefix-master@test@Pluto@HD@sod@python@testidefix.py@.PATH_END.py |
{
"filename": "lowering.py",
"repo_name": "jax-ml/jax",
"repo_path": "jax_extracted/jax-main/jax/_src/pallas/mosaic_gpu/lowering.py",
"type": "Python"
} | # Copyright 2024 The JAX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | jax-mlREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@_src@pallas@mosaic_gpu@lowering.py@.PATH_END.py |
{
"filename": "draw_segmentation_masks.py",
"repo_name": "fchollet/keras",
"repo_path": "keras_extracted/keras-master/keras/src/visualization/draw_segmentation_masks.py",
"type": "Python"
} | import numpy as np
from keras.src import backend
from keras.src import ops
from keras.src.api_export import keras_export
@keras_export("keras.visualization.draw_segmentation_masks")
def draw_segmentation_masks(
images,
segmentation_masks,
num_classes=None,
color_mapping=None,
alpha=0.8,
blend... | fcholletREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@visualization@draw_segmentation_masks.py@.PATH_END.py |
{
"filename": "regions.py",
"repo_name": "PaulHancock/Aegean",
"repo_path": "Aegean_extracted/Aegean-main/AegeanTools/regions.py",
"type": "Python"
} | #! /usr/bin/env python
"""
Describe sky areas as a collection of HEALPix pixels
"""
import datetime
import os
import _pickle as cPickle
import astropy.units as u
import healpy as hp
import numpy as np
from astropy.coordinates import SkyCoord
from astropy.io import fits
__author__ = "Paul Hancock"
class Region(obje... | PaulHancockREPO_NAMEAegeanPATH_START.@Aegean_extracted@Aegean-main@AegeanTools@regions.py@.PATH_END.py |
{
"filename": "mu_minorticks.py",
"repo_name": "kapteyn-astro/kapteyn",
"repo_path": "kapteyn_extracted/kapteyn-master/doc/source/EXAMPLES/mu_minorticks.py",
"type": "Python"
} | from kapteyn import maputils
from matplotlib import pyplot as plt
fitsobj = maputils.FITSimage("m101.fits")
fig = plt.figure()
fig.subplots_adjust(left=0.18, bottom=0.10, right=0.90,
top=0.90, wspace=0.95, hspace=0.20)
for i in range(4):
f = fig.add_subplot(2,2,i+1)
mplim = fitsobj.Annotat... | kapteyn-astroREPO_NAMEkapteynPATH_START.@kapteyn_extracted@kapteyn-master@doc@source@EXAMPLES@mu_minorticks.py@.PATH_END.py |
{
"filename": "niriss_ghosts.py",
"repo_name": "spacetelescope/mirage",
"repo_path": "mirage_extracted/mirage-master/mirage/ghosts/niriss_ghosts.py",
"type": "Python"
} | #! /usr/bin/env python
"""This module contains functions related to the addition of ghosts to NIRISS
simulations. Code originally written by Takahiro Morishita.
"""
import logging
import numpy as np
from astropy.io import fits, ascii
from astropy.table import Table
from mirage.utils.constants import DEFAULT_NIRISS_PT... | spacetelescopeREPO_NAMEmiragePATH_START.@mirage_extracted@mirage-master@mirage@ghosts@niriss_ghosts.py@.PATH_END.py |
{
"filename": "api.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/analysis_modules/level_sets/api.py",
"type": "Python"
} | raise RuntimeError(
"The level_sets module has been moved to yt.data_objects.level_sets."
"Please, change the import in your scripts from "
"'from yt.analysis_modules.level_sets' to "
"'from yt.data_objects.level_sets.'."
)
| rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@analysis_modules@level_sets@api.py@.PATH_END.py |
{
"filename": "carma_sim.py",
"repo_name": "ywx649999311/EzTao",
"repo_path": "EzTao_extracted/EzTao-master/src/eztao/ts/carma_sim.py",
"type": "Python"
} | """
A collection of functions for simulating CARMA processes.
"""
import numpy as np
from math import ceil
import celerite
from celerite import GP
from eztao.ts.utils import add_season, downsample_byN, downsample_byTime
from eztao.carma.CARMATerm import DRW_term, CARMA_term
__all__ = ["gpSimFull", "gpSimRand", "gpSim... | ywx649999311REPO_NAMEEzTaoPATH_START.@EzTao_extracted@EzTao-master@src@eztao@ts@carma_sim.py@.PATH_END.py |
{
"filename": "interval_gain_machine.py",
"repo_name": "ratt-ru/CubiCal",
"repo_path": "CubiCal_extracted/CubiCal-master/cubical/machines/interval_gain_machine.py",
"type": "Python"
} | # CubiCal: a radio interferometric calibration suite
# (c) 2017 Rhodes University & Jonathan S. Kenyon
# http://github.com/ratt-ru/CubiCal
# This code is distributed under the terms of GPLv2, see LICENSE.md for details
from __future__ import print_function
from builtins import range
import numpy as np
from cubical.flag... | ratt-ruREPO_NAMECubiCalPATH_START.@CubiCal_extracted@CubiCal-master@cubical@machines@interval_gain_machine.py@.PATH_END.py |
{
"filename": "rate_calculator.py",
"repo_name": "SNEWS2/snewpy",
"repo_path": "snewpy_extracted/snewpy-main/python/snewpy/rate_calculator.py",
"type": "Python"
} | """
The module :mod:`snewpy.rate_calculator` defines a Python interface for calculating event rates using data from SNOwGLoBES
Reference
---------
.. autoclass:: RateCalculator
:members: run
"""
import numpy as np
from snewpy.snowglobes_interface import SnowglobesData, guess_material
from snewpy.neutrino import Fl... | SNEWS2REPO_NAMEsnewpyPATH_START.@snewpy_extracted@snewpy-main@python@snewpy@rate_calculator.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py2/scipy/misc/setup.py",
"type": "Python"
} | from __future__ import division, print_function, absolute_import
def configuration(parent_package='',top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration('misc',parent_package,top_path)
config.add_data_files('*.dat')
config.add_data_dir('tests')
return config
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py2@scipy@misc@setup.py@.PATH_END.py |
{
"filename": "feasible_gls.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/statsmodels/regression/feasible_gls.py",
"type": "Python"
} | """
Created on Tue Dec 20 20:24:20 2011
Author: Josef Perktold
License: BSD-3
"""
import numpy as np
from statsmodels.regression.linear_model import OLS, GLS, WLS
def atleast_2dcols(x):
x = np.asarray(x)
if x.ndim == 1:
x = x[:,None]
return x
class GLSHet2(GLS):
'''WLS with heteroscedast... | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@statsmodels@regression@feasible_gls.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "3fon3fonov/exostriker",
"repo_path": "exostriker_extracted/exostriker-main/exostriker/lib/pyqtgraph/GraphicsScene/__init__.py",
"type": "Python"
} | from .GraphicsScene import *
| 3fon3fonovREPO_NAMEexostrikerPATH_START.@exostriker_extracted@exostriker-main@exostriker@lib@pyqtgraph@GraphicsScene@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/contourpy/contourpy/util/__init__.py",
"type": "Python"
} | from __future__ import annotations
from contourpy.util._build_config import build_config
__all__ = ["build_config"]
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@contourpy@contourpy@util@__init__.py@.PATH_END.py |
{
"filename": "elixer_widget_lae.py",
"repo_name": "HETDEX/hetdex_api",
"repo_path": "hetdex_api_extracted/hetdex_api-master/hetdex_api/elixer_widget_lae.py",
"type": "Python"
} | from __future__ import print_function
"""
ELiXer Widget Classify Supriod Detections
Based on Dr. Erin Mentuch Cooper's original elixer_widgets.py
#*** PLACE HOLDER ***#
Classify the type of real detection, primarily LAE or not LAE
Options:
No Imaging -- cannot make any determination because there is no imagin... | HETDEXREPO_NAMEhetdex_apiPATH_START.@hetdex_api_extracted@hetdex_api-master@hetdex_api@elixer_widget_lae.py@.PATH_END.py |
{
"filename": "io.py",
"repo_name": "freelunchtheorem/Conditional_Density_Estimation",
"repo_path": "Conditional_Density_Estimation_extracted/Conditional_Density_Estimation-master/cde/utils/io.py",
"type": "Python"
} | import os
import pickle
import pandas as pd
from datetime import datetime
def store_dataframe(dataframe, output_dir, file_name=None):
suffix = ".pickle"
full_path = get_full_path(output_dir=output_dir, suffix=suffix, file_name=file_name)
dataframe.to_pickle(full_path)
print("Dumped dataframe pickle to", full_... | freelunchtheoremREPO_NAMEConditional_Density_EstimationPATH_START.@Conditional_Density_Estimation_extracted@Conditional_Density_Estimation-master@cde@utils@io.py@.PATH_END.py |
{
"filename": "example_new_metrics.py",
"repo_name": "lsst/rubin_sim",
"repo_path": "rubin_sim_extracted/rubin_sim-main/rubin_sim/maf/maf_contrib/example_new_metrics.py",
"type": "Python"
} | # Example of a new metric added to the repo.
# ljones@astro.washington.edu
__all__ = ("NightsWithNFiltersMetric",)
import numpy as np
from rubin_sim.maf.metrics import BaseMetric
class NightsWithNFiltersMetric(BaseMetric):
"""Count how many times more than NFilters are used within the same night,
for this ... | lsstREPO_NAMErubin_simPATH_START.@rubin_sim_extracted@rubin_sim-main@rubin_sim@maf@maf_contrib@example_new_metrics.py@.PATH_END.py |
{
"filename": "proximal_adagrad.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/training/proximal_adagrad.py",
"type": "Python"
} | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@training@proximal_adagrad.py@.PATH_END.py |
{
"filename": "_colorsrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/sankey/link/line/_colorsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="colorsrc", parent_name="sankey.link.line", **kwargs
):
super(ColorsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@sankey@link@line@_colorsrc.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "astrodee/threadcount",
"repo_path": "threadcount_extracted/threadcount-master/docs/source/conf.py",
"type": "Python"
} | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | astrodeeREPO_NAMEthreadcountPATH_START.@threadcount_extracted@threadcount-master@docs@source@conf.py@.PATH_END.py |
{
"filename": "tube.py",
"repo_name": "enthought/mayavi",
"repo_path": "mayavi_extracted/mayavi-master/mayavi/filters/tube.py",
"type": "Python"
} | # Author: Gael Varoquaux <gael.varoquaux@normalesup.org>
# Copyright (c) 2007, Enthought, Inc.
# License: BSD Style.
# Enthought library imports.
from traits.api import Instance
from tvtk.api import tvtk
# Local imports
from mayavi.filters.filter_base import FilterBase
from mayavi.core.pipeline_info import PipelineIn... | enthoughtREPO_NAMEmayaviPATH_START.@mayavi_extracted@mayavi-master@mayavi@filters@tube.py@.PATH_END.py |
{
"filename": "StarGalQsoLSDR9.ipynb",
"repo_name": "astro-datalab/notebooks-latest",
"repo_path": "notebooks-latest_extracted/notebooks-latest-master/03_ScienceExamples/StarGalQSOSeparation/StarGalQsoLSDR9.ipynb",
"type": "Jupyter Notebook"
} | ```python
__nbid__ = '0030'
__author__ = 'Stephanie Juneau <stephanie.juneau@noirlab.edu>, Robert Nikutta <robert.nikutta@noirlab.edu>, Knut Olsen <knut.olsen@noirlab.edu>, Astro Data Lab Team <datalab@noirlab.edu>'
__version__ = '20240603' # yyyymmdd
__datasets__ = ['ls_dr9', 'sdss_dr13', 'sdss_dr17']
__keywords__ = [... | astro-datalabREPO_NAMEnotebooks-latestPATH_START.@notebooks-latest_extracted@notebooks-latest-master@03_ScienceExamples@StarGalQSOSeparation@StarGalQsoLSDR9.ipynb@.PATH_END.py |
{
"filename": "_size.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatter3d/marker/colorbar/title/font/_size.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="size",
parent_name="scatter3d.marker.colorbar.title.font",
**kwargs
):
super(SizeValidator, self).__init__(
plotly_name=pl... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatter3d@marker@colorbar@title@font@_size.py@.PATH_END.py |
{
"filename": "kernels.py",
"repo_name": "pymc-devs/pymc",
"repo_path": "pymc_extracted/pymc-main/pymc/smc/kernels.py",
"type": "Python"
} | # Copyright 2024 The PyMC Developers
#
# 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 ag... | pymc-devsREPO_NAMEpymcPATH_START.@pymc_extracted@pymc-main@pymc@smc@kernels.py@.PATH_END.py |
{
"filename": "basics.py",
"repo_name": "radis/radis",
"repo_path": "radis_extracted/radis-master/radis/misc/basics.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""Created on Wed Nov 5 12:59:37 2014.
@author: Erwan
Small functions used in other procedures
-------------------------------------------------------------------------------
"""
import os
import sys
from io import StringIO
from itertools import filterfalse, tee
from os.path import abspath, ... | radisREPO_NAMEradisPATH_START.@radis_extracted@radis-master@radis@misc@basics.py@.PATH_END.py |
{
"filename": "Example8.py",
"repo_name": "delphes/delphes",
"repo_path": "delphes_extracted/delphes-master/examples/Example8.py",
"type": "Python"
} | #!/usr/bin/env python
import sys
import ROOT, math
from collections import OrderedDict
from ROOT import TLorentzVector
import array
# _______________________________________________________________________________
def print_part(p, all_particles, basespace):
print(
"{}i: {}, PID: {}, Q: {}, Status: {}, E:... | delphesREPO_NAMEdelphesPATH_START.@delphes_extracted@delphes-master@examples@Example8.py@.PATH_END.py |
{
"filename": "_t_r_a_k.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/fonttools/fontTools/ttLib/tables/_t_r_a_k.py",
"type": "Python"
} | from fontTools.misc import sstruct
from fontTools.misc.fixedTools import (
fixedToFloat as fi2fl,
floatToFixed as fl2fi,
floatToFixedToStr as fl2str,
strToFixedToFloat as str2fl,
)
from fontTools.misc.textTools import bytesjoin, safeEval
from fontTools.ttLib import TTLibError
from . import DefaultTable
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@fonttools@fontTools@ttLib@tables@_t_r_a_k.py@.PATH_END.py |
{
"filename": "_textfont.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/barpolar/unselected/_textfont.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Textfont(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "barpolar.unselected"
_path_str = "barpolar.unselected.textfont"
_valid_props = {"color"}
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@barpolar@unselected@_textfont.py@.PATH_END.py |
{
"filename": "_bgcolor.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/icicle/marker/pattern/_bgcolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="bgcolor", parent_name="icicle.marker.pattern", **kwargs
):
super(BgcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@icicle@marker@pattern@_bgcolor.py@.PATH_END.py |
{
"filename": "run-tests.py",
"repo_name": "bccp/nbodykit",
"repo_path": "nbodykit_extracted/nbodykit-master/run-tests.py",
"type": "Python"
} | import sys; sys.path.pop(0)
from runtests.mpi import Tester
import os.path
tester = Tester(os.path.abspath(__file__), "nbodykit")
tester.main(sys.argv[1:])
| bccpREPO_NAMEnbodykitPATH_START.@nbodykit_extracted@nbodykit-master@run-tests.py@.PATH_END.py |
{
"filename": "main.py",
"repo_name": "cdslaborg/paramonte",
"repo_path": "paramonte_extracted/paramonte-main/example/fortran/pm_distMultiNorm/getMultiNormLogPDF/main.py",
"type": "Python"
} | #!/usr/bin/env python
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import math
import glob
import sys
linewidth = 2
fontsize = 17
marker ={ "CK" : "-"
, "IK" : "."
, "RK" : "-"
}
xlab = { "CK" : "X ( real/imaginary components )"
, "IK" : "X ( integer-valued ... | cdslaborgREPO_NAMEparamontePATH_START.@paramonte_extracted@paramonte-main@example@fortran@pm_distMultiNorm@getMultiNormLogPDF@main.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "dgerosa/spops",
"repo_path": "spops_extracted/spops-master/README.md",
"type": "Markdown"
} | # spops
Data release supporting:
* *Spin orientations of merging black holes formed from the evolution of stellar binaries.*
Davide Gerosa, Emanuele Berti, Richard O’Shaughnessy, Krzysztof Belczynski, Michael Kesden, Daniel Wysocki, Wojciech Gladysz. Physical Review D 98 (2018) [084036](https://journals.aps.org/prd... | dgerosaREPO_NAMEspopsPATH_START.@spops_extracted@spops-master@README.md@.PATH_END.py |
{
"filename": "_textcasesrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/choroplethmap/hoverlabel/font/_textcasesrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextcasesrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="textcasesrc",
parent_name="choroplethmap.hoverlabel.font",
**kwargs,
):
super(TextcasesrcValidator, self).__init__(
pl... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@choroplethmap@hoverlabel@font@_textcasesrc.py@.PATH_END.py |
{
"filename": "datasets.py",
"repo_name": "tslearn-team/tslearn",
"repo_path": "tslearn_extracted/tslearn-main/tslearn/datasets/datasets.py",
"type": "Python"
} | """
The :mod:`tslearn.datasets` module provides simplified access to standard time
series datasets.
"""
import zipfile
import tempfile
import shutil
import os
import warnings
from urllib.request import urlretrieve
__author__ = 'Romain Tavenard romain.tavenard[at]univ-rennes2.fr'
def extract_from_zip_url(url, target... | tslearn-teamREPO_NAMEtslearnPATH_START.@tslearn_extracted@tslearn-main@tslearn@datasets@datasets.py@.PATH_END.py |
{
"filename": "_colorbar.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/scatterpolargl/marker/_colorbar.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class ColorBar(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "scatterpolargl.marker"
_path_str = "scatterpolargl.marker.colorbar"
_valid_props = {
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@scatterpolargl@marker@_colorbar.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/python-package/README.md",
"type": "Markdown"
} | CatBoost Python Package
======================
[](https://pypi.org/project/catboost)
Installation
------------
For stable version, please install using pip:
- ``pip install catboost``
For the latest version from GitHub:
- [Build python package from source](https... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@python-package@README.md@.PATH_END.py |
{
"filename": "_tickfont.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/volume/colorbar/_tickfont.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="tickfont", parent_name="volume.colorbar", **kwargs):
super(TickfontValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_nam... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@volume@colorbar@_tickfont.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "desihub/desiutil",
"repo_path": "desiutil_extracted/desiutil-main/py/desiutil/setup.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
# -*- coding: utf-8 -*-
"""
==============
desiutil.setup
==============
This module supplies :command:`desi_update_version`, which simplifies
setting and updating version strings in Python packages.
This module also supports *deprecated* ``python setup.... | desihubREPO_NAMEdesiutilPATH_START.@desiutil_extracted@desiutil-main@py@desiutil@setup.py@.PATH_END.py |
{
"filename": "gpu_performance_tips.md",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/docs/gpu_performance_tips.md",
"type": "Markdown"
} | # GPU performance tips
<!--* freshness: { reviewed: '2024-06-10' } *-->
This document focuses on performance tips for neural network workloads
## Matmul precision
On recent GPU generations, such as the Nvidia A100 generation or later, it can
be a good idea to perform most computations in `bfloat16` precision. For
e... | googleREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@docs@gpu_performance_tips.md@.PATH_END.py |
{
"filename": "test_misc.py",
"repo_name": "mperrin/poppy",
"repo_path": "poppy_extracted/poppy-master/poppy/tests/test_misc.py",
"type": "Python"
} |
import numpy as np
import matplotlib.pyplot as plt
import scipy
from ..misc import airy_1d, airy_2d, sinc2_2d, _RADtoARCSEC, _ARCSECtoRAD
airy_zeros = np.asarray([3.8317, 7.0156, 10.1735, 13.3237, 16.4706])/np.pi # first several zeros of the Bessel function J1. See e.g. http://en.wikipedia.org/wiki/Airy_disk#Mathem... | mperrinREPO_NAMEpoppyPATH_START.@poppy_extracted@poppy-master@poppy@tests@test_misc.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "jfoster17/extinction-distances",
"repo_path": "extinction-distances_extracted/extinction-distances-master/extinction_distance/images/__init__.py",
"type": "Python"
} | # placeholder
| jfoster17REPO_NAMEextinction-distancesPATH_START.@extinction-distances_extracted@extinction-distances-master@extinction_distance@images@__init__.py@.PATH_END.py |
{
"filename": "optional.py",
"repo_name": "enthought/mayavi",
"repo_path": "mayavi_extracted/mayavi-master/mayavi/components/optional.py",
"type": "Python"
} | """A meta-component that allows a component to be optionally enabled
or disabled. This component is mostly for illustration and is not
used anywhere. This is because it is usually much easier to simply
add a trait in the module to enable/disable a particular component.
"""
# Author: Prabhu Ramachandran <prabhu@aero.... | enthoughtREPO_NAMEmayaviPATH_START.@mayavi_extracted@mayavi-master@mayavi@components@optional.py@.PATH_END.py |
{
"filename": "config.py",
"repo_name": "spedas/pyspedas",
"repo_path": "pyspedas_extracted/pyspedas-master/pyspedas/projects/fast/config.py",
"type": "Python"
} | import os
CONFIG = {
"local_data_dir": "fast_data/",
"remote_data_dir": "https://spdf.gsfc.nasa.gov/pub/data/fast/",
}
# override local data directory with environment variables
if os.environ.get("FAST_DATA_DIR"):
CONFIG["local_data_dir"] = os.environ["FAST_DATA_DIR"]
elif os.environ.get("SPEDAS_DATA_DIR"... | spedasREPO_NAMEpyspedasPATH_START.@pyspedas_extracted@pyspedas-master@pyspedas@projects@fast@config.py@.PATH_END.py |
{
"filename": "EXAMPLE_main_WFIRST_LC.py",
"repo_name": "ajeldorado/falco-python",
"repo_path": "falco-python_extracted/falco-python-master/examples/EXAMPLE_main_WFIRST_LC.py",
"type": "Python"
} | # import sys
# sys.path.insert(0,"../")
from copy import deepcopy
# import numpy as np
import falco
import EXAMPLE_config_WFIRST_LC as CONFIG
# %% Load/run config script
mp = deepcopy(CONFIG.mp)
# %% Set Output Data Directories
mp.path = falco.config.Object()
# mp.path.config = './' # Location of config files and... | ajeldoradoREPO_NAMEfalco-pythonPATH_START.@falco-python_extracted@falco-python-master@examples@EXAMPLE_main_WFIRST_LC.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "threeML/threeML",
"repo_path": "threeML_extracted/threeML-master/threeML/io/__init__.py",
"type": "Python"
} | from .logging import (activate_logs, activate_progress_bars, activate_warnings,
debug_mode, loud_mode, quiet_mode, setup_logger,
silence_logs, silence_progress_bars, silence_warnings,
toggle_progress_bars, update_logging_level)
from .plotting.get_style i... | threeMLREPO_NAMEthreeMLPATH_START.@threeML_extracted@threeML-master@threeML@io@__init__.py@.PATH_END.py |
{
"filename": "promql.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pygments/py3/pygments/lexers/promql.py",
"type": "Python"
} | """
pygments.lexers.promql
~~~~~~~~~~~~~~~~~~~~~~
Lexer for Prometheus Query Language.
:copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
from pygments.lexer import RegexLexer, bygroups, default, words
from pygments.token import Comment,... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pygments@py3@pygments@lexers@promql.py@.PATH_END.py |
{
"filename": "chat_models.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/cli/langchain_cli/integration_template/integration_template/chat_models.py",
"type": "Python"
} | """__ModuleName__ chat models."""
from typing import Any, Dict, Iterator, List, Optional
from langchain_core.callbacks import (
CallbackManagerForLLMRun,
)
from langchain_core.language_models import BaseChatModel
from langchain_core.messages import (
AIMessage,
AIMessageChunk,
BaseMessage,
)
from lang... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@cli@langchain_cli@integration_template@integration_template@chat_models.py@.PATH_END.py |
{
"filename": "_scale.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatter3d/projection/x/_scale.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ScaleValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="scale", parent_name="scatter3d.projection.x", **kwargs
):
super(ScaleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatter3d@projection@x@_scale.py@.PATH_END.py |
{
"filename": "panstarrs1.py",
"repo_name": "mkelley/calviacat",
"repo_path": "calviacat_extracted/calviacat-main/calviacat/panstarrs1.py",
"type": "Python"
} | # Licensed with the MIT License, see LICENSE for details
__all__ = [
'PanSTARRS1'
]
import io
import requests
import numpy as np
from astropy.io import votable
from .catalog import Catalog, TableDefinition
# column names and SQLite type
COLUMN_DEFS = (
('objname', 'TEXT'),
('objid', 'INTEGER PRIMARY KEY'... | mkelleyREPO_NAMEcalviacatPATH_START.@calviacat_extracted@calviacat-main@calviacat@panstarrs1.py@.PATH_END.py |
{
"filename": "_family.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/ternary/baxis/tickfont/_family.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="family",
parent_name="layout.ternary.baxis.tickfont",
**kwargs,
):
super(FamilyValidator, self).__init__(
plotly_name=pl... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@ternary@baxis@tickfont@_family.py@.PATH_END.py |
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