metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "enc_int_wrapper.py",
"repo_name": "masoncarney/stepped_luneburg",
"repo_path": "stepped_luneburg_extracted/stepped_luneburg-master/scripts/enc_int_wrapper.py",
"type": "Python"
} | import os, sys
import numpy as np
import pylab as pl
try:
from enclosed_intensity import enc_int
except:
raise ImportError("Cannot import module enc_int. Try updating the PYTHONPATH variable to include the path to the directory containing enclosed_intensity.py")
'''
Wrapper script for function enc_int(). Requ... | masoncarneyREPO_NAMEstepped_luneburgPATH_START.@stepped_luneburg_extracted@stepped_luneburg-master@scripts@enc_int_wrapper.py@.PATH_END.py |
{
"filename": "_reversescale.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatter/marker/line/_reversescale.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ReversescaleValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="reversescale", parent_name="scatter.marker.line", **kwargs
):
super(ReversescaleValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatter@marker@line@_reversescale.py@.PATH_END.py |
{
"filename": "util.py",
"repo_name": "xgds/xgds_core",
"repo_path": "xgds_core_extracted/xgds_core-master/xgds_core/util.py",
"type": "Python"
} | # __BEGIN_LICENSE__
# Copyright (c) 2015, United States Government, as represented by the
# Administrator of the National Aeronautics and Space Administration.
# All rights reserved.
#
# The xGDS platform is licensed under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance... | xgdsREPO_NAMExgds_corePATH_START.@xgds_core_extracted@xgds_core-master@xgds_core@util.py@.PATH_END.py |
{
"filename": "test_predicted_zeropoints.py",
"repo_name": "lsst/rubin_sim",
"repo_path": "rubin_sim_extracted/rubin_sim-main/tests/phot_utils/test_predicted_zeropoints.py",
"type": "Python"
} | import unittest
import numpy as np
from rubin_scheduler.utils import SysEngVals
from rubin_sim.phot_utils import (
predicted_zeropoint,
predicted_zeropoint_e2v,
predicted_zeropoint_hardware,
predicted_zeropoint_hardware_e2v,
predicted_zeropoint_hardware_itl,
predicted_zeropoint_itl,
)
class ... | lsstREPO_NAMErubin_simPATH_START.@rubin_sim_extracted@rubin_sim-main@tests@phot_utils@test_predicted_zeropoints.py@.PATH_END.py |
{
"filename": "_outlinewidth.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/streamtube/colorbar/_outlinewidth.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class OutlinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="outlinewidth", parent_name="streamtube.colorbar", **kwargs
):
super(OutlinewidthValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@streamtube@colorbar@_outlinewidth.py@.PATH_END.py |
{
"filename": "test_plot.py",
"repo_name": "iraf-community/pyraf",
"repo_path": "pyraf_extracted/pyraf-main/pyraf/tests/test_plot.py",
"type": "Python"
} | import pytest
import os
from .utils import HAS_IRAF
from pyraf import gki
from ..tools import capable
if HAS_IRAF:
from pyraf import iraf
else:
pytestmark = pytest.mark.skip('Need IRAF to run')
try:
import tkinter
tkinter.Tk().destroy()
except Exception:
pytestmark = pytest.mark.skip('No graphics ... | iraf-communityREPO_NAMEpyrafPATH_START.@pyraf_extracted@pyraf-main@pyraf@tests@test_plot.py@.PATH_END.py |
{
"filename": "cli-reference_eval-metrics.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/concepts/cli-reference_eval-metrics.md",
"type": "Markdown"
} | # Calculate metrics
## {{ dl--purpose }} {#purpose}
Calculate metrics for a given dataset using a previously trained model.
## {{ dl__cli__execution-format }} {#execution-format}
```
catboost eval-metrics --metrics <comma-separated list of metrics> [optional parameters]
```
## {{ common-text__title__reference__par... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@concepts@cli-reference_eval-metrics.md@.PATH_END.py |
{
"filename": "XID+SED_example.ipynb",
"repo_name": "H-E-L-P/XID_plus",
"repo_path": "XID_plus_extracted/XID_plus-master/docs/build/doctrees/nbsphinx/notebooks/examples/XID+SED_example.ipynb",
"type": "Jupyter Notebook"
} | # XID+SED Example Run Script
(This is based on a Jupyter notebook, available in the [XID+ package](https://github.com/H-E-L-P/XID_plus/tree/master/docs/notebooks/examples/) and can be interactively run and edited)
XID+ is a probababilistic deblender for confusion dominated maps. It is designed to:
1. Use a MCMC base... | H-E-L-PREPO_NAMEXID_plusPATH_START.@XID_plus_extracted@XID_plus-master@docs@build@doctrees@nbsphinx@notebooks@examples@XID+SED_example.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "RafiKueng/SpaghettiLens",
"repo_path": "SpaghettiLens_extracted/SpaghettiLens-master/SpaghettiLensProject/Lenses/tests/__init__.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
| RafiKuengREPO_NAMESpaghettiLensPATH_START.@SpaghettiLens_extracted@SpaghettiLens-master@SpaghettiLensProject@Lenses@tests@__init__.py@.PATH_END.py |
{
"filename": "_error_y.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattergl/_error_y.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class Error_YValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="error_y", parent_name="scattergl", **kwargs):
super(Error_YValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattergl@_error_y.py@.PATH_END.py |
{
"filename": "freetype.py",
"repo_name": "macrocosme/shwirl",
"repo_path": "shwirl_extracted/shwirl-master/shwirl/extern/vispy/ext/freetype.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# Copyright (c) 2015, Vispy Development Team.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
"""
Handle loading freetype package from system or from the bundled copy
"""
try:
from ._bundled.freetype import * # noqa
except ImportError:
from freetype import * ... | macrocosmeREPO_NAMEshwirlPATH_START.@shwirl_extracted@shwirl-master@shwirl@extern@vispy@ext@freetype.py@.PATH_END.py |
{
"filename": "conftest.py",
"repo_name": "jzuhone/pyxsim",
"repo_path": "pyxsim_extracted/pyxsim-main/pyxsim/tests/conftest.py",
"type": "Python"
} | import os
import pytest
def pytest_addoption(parser):
parser.addoption("--check_dir", help="Directory where spectrum checks are stored.")
parser.addoption(
"--answer_store",
action="store_true",
help="Generate new answers, but don't test.",
)
@pytest.fixture()
def answer_store(r... | jzuhoneREPO_NAMEpyxsimPATH_START.@pyxsim_extracted@pyxsim-main@pyxsim@tests@conftest.py@.PATH_END.py |
{
"filename": "splittable.py",
"repo_name": "gwastro/pycbc",
"repo_path": "pycbc_extracted/pycbc-master/pycbc/workflow/splittable.py",
"type": "Python"
} | # Copyright (C) 2013 Ian Harry
#
# This program is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 3 of the License, or (at your
# option) any later version.
#
# This program is distributed in the... | gwastroREPO_NAMEpycbcPATH_START.@pycbc_extracted@pycbc-master@pycbc@workflow@splittable.py@.PATH_END.py |
{
"filename": "_namelengthsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/pie/hoverlabel/_namelengthsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="namelengthsrc", parent_name="pie.hoverlabel", **kwargs
):
super(NamelengthsrcValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@pie@hoverlabel@_namelengthsrc.py@.PATH_END.py |
{
"filename": "_showtickprefix.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/carpet/baxis/_showtickprefix.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="showtickprefix", parent_name="carpet.baxis", **kwargs
):
super(ShowtickprefixValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@carpet@baxis@_showtickprefix.py@.PATH_END.py |
{
"filename": "_meta.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattermapbox/_meta.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="meta", parent_name="scattermapbox", **kwargs):
super(MetaValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
arra... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattermapbox@_meta.py@.PATH_END.py |
{
"filename": "_thickness.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattergeo/marker/colorbar/_thickness.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="thickness",
parent_name="scattergeo.marker.colorbar",
**kwargs,
):
super(ThicknessValidator, self).__init__(
plotly_n... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattergeo@marker@colorbar@_thickness.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatterpolar/marker/colorbar/title/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._text import TextValidator
from ._side import SideValidator
from ._font import FontValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatterpolar@marker@colorbar@title@__init__.py@.PATH_END.py |
{
"filename": "analysis.particles.md",
"repo_name": "dmentipl/plonk",
"repo_path": "plonk_extracted/plonk-main/docs/source/api/analysis.particles.md",
"type": "Markdown"
} | # Extra particle quantities
```{eval-rst}
.. automodule:: plonk.analysis.particles
:members:
```
| dmentiplREPO_NAMEplonkPATH_START.@plonk_extracted@plonk-main@docs@source@api@analysis.particles.md@.PATH_END.py |
{
"filename": "test_utils_numba.py",
"repo_name": "arviz-devs/arviz",
"repo_path": "arviz_extracted/arviz-main/arviz/tests/base_tests/test_utils_numba.py",
"type": "Python"
} | # pylint: disable=redefined-outer-name, no-member
"""Tests for arviz.utils."""
import importlib
from unittest.mock import Mock
import numpy as np
import pytest
from ...stats.stats_utils import stats_variance_2d as svar
from ...utils import Numba, _numba_var, numba_check
from ..helpers import importorskip
from .test_u... | arviz-devsREPO_NAMEarvizPATH_START.@arviz_extracted@arviz-main@arviz@tests@base_tests@test_utils_numba.py@.PATH_END.py |
{
"filename": "_textcase.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/carpet/legendgrouptitle/font/_textcase.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextcaseValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="textcase",
parent_name="carpet.legendgrouptitle.font",
**kwargs,
):
super(TextcaseValidator, self).__init__(
plotl... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@carpet@legendgrouptitle@font@_textcase.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "COSMOGRAIL/PyCS",
"repo_path": "PyCS_extracted/PyCS-master/pycs/regdiff2/__init__.py",
"type": "Python"
} | """
Regression difference curve shifting technique, using gaussian process regression.
"""
__all__ = ["rslc", "multiopt", "gpr"]
import rslc
import multiopt
import gpr
| COSMOGRAILREPO_NAMEPyCSPATH_START.@PyCS_extracted@PyCS-master@pycs@regdiff2@__init__.py@.PATH_END.py |
{
"filename": "_len.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/densitymap/colorbar/_len.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LenValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="len", parent_name="densitymap.colorbar", **kwargs):
super(LenValidator, 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@densitymap@colorbar@_len.py@.PATH_END.py |
{
"filename": "idealized.py",
"repo_name": "pynbody/genetIC",
"repo_path": "genetIC_extracted/genetIC-master/tools/toy_implementation/constrainedzoom/methods/idealized.py",
"type": "Python"
} | import copy
import numpy as np
from . import ZoomConstrained, UnfilteredZoomConstrained
from ..fft_wrapper import FFTArray, in_real_space, in_fourier_space, complex_dot
from ..power_spectrum import powerlaw_covariance
class IdealizedZoomConstrained(ZoomConstrained):
"""Calculate the low-res/high-res split by maki... | pynbodyREPO_NAMEgenetICPATH_START.@genetIC_extracted@genetIC-master@tools@toy_implementation@constrainedzoom@methods@idealized.py@.PATH_END.py |
{
"filename": "filter.py",
"repo_name": "lpsinger/ligo.skymap",
"repo_path": "ligo.skymap_extracted/ligo.skymap-main/ligo/skymap/bayestar/filter.py",
"type": "Python"
} | #
# Copyright (C) 2013-2024 Leo Singer
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distribute... | lpsingerREPO_NAMEligo.skymapPATH_START.@ligo.skymap_extracted@ligo.skymap-main@ligo@skymap@bayestar@filter.py@.PATH_END.py |
{
"filename": "cube.py",
"repo_name": "macrocosme/shwirl",
"repo_path": "shwirl_extracted/shwirl-master/shwirl/extern/vispy/visuals/cube.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright (c) 2015, Vispy Development Team. All Rights Reserved.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
# -------------------------------------------------------------------------... | macrocosmeREPO_NAMEshwirlPATH_START.@shwirl_extracted@shwirl-master@shwirl@extern@vispy@visuals@cube.py@.PATH_END.py |
{
"filename": "get_data.py",
"repo_name": "multipass-black-holes/multipass",
"repo_path": "multipass_extracted/multipass-main/get_data.py",
"type": "Python"
} | import requests
import re
import time
import subprocess
import tarfile
import os
def list_catalog(name):
print(f"Fetching catalog {name}...", end="")
alias = {
'gwtc-1': 'GWTC-1-confident',
'gwtc-2': 'GWTC-2',
'gwtc-2.1': 'GWTC-2.1-confident',
'gwtc-3': 'GWTC-3-confident',
... | multipass-black-holesREPO_NAMEmultipassPATH_START.@multipass_extracted@multipass-main@get_data.py@.PATH_END.py |
{
"filename": "_ticktext.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/volume/colorbar/_ticktext.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TicktextValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="ticktext", parent_name="volume.colorbar", **kwargs):
super(TicktextValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_na... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@volume@colorbar@_ticktext.py@.PATH_END.py |
{
"filename": "python-reference_catboostregressor_plot_predictions.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/concepts/python-reference_catboostregressor_plot_predictions.md",
"type": "Markdown"
} | # plot_predictions
{% include [plot_predictions-plot_predictions__desc__full](../_includes/work_src/reusage-python/plot_predictions__desc__full.md) %}
## {{ dl--parameters }} {#parameters}
### data
#### Description
The data to plot predictions for.
For example, use a two-document slice of the original dataset (re... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@concepts@python-reference_catboostregressor_plot_predictions.md@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/gemini_instruments/oscir/tests/__init__.py",
"type": "Python"
} | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@gemini_instruments@oscir@tests@__init__.py@.PATH_END.py | |
{
"filename": "test_memory_astradb.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/tests/integration_tests/memory/test_memory_astradb.py",
"type": "Python"
} | import os
from typing import AsyncIterable, Iterable
import pytest
from langchain.memory import ConversationBufferMemory
from langchain_core.messages import AIMessage, HumanMessage
from langchain_community.chat_message_histories.astradb import (
AstraDBChatMessageHistory,
)
from langchain_community.utilities.astr... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@tests@integration_tests@memory@test_memory_astradb.py@.PATH_END.py |
{
"filename": "yt_gadget_owls_analysis.ipynb",
"repo_name": "yt-project/yt",
"repo_path": "yt_extracted/yt-main/doc/source/cookbook/yt_gadget_owls_analysis.ipynb",
"type": "Jupyter Notebook"
} | # Loading Gadget OWLS Data
## Setup
The first thing you will need to run these examples is a working installation of yt. The author or these examples followed the instructions under "Get yt: from source" at https://yt-project.org/ to install an up to date development version of yt.
We will be working with an OWLS s... | yt-projectREPO_NAMEytPATH_START.@yt_extracted@yt-main@doc@source@cookbook@yt_gadget_owls_analysis.ipynb@.PATH_END.py |
{
"filename": "plot_adaboost_regression.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/examples/ensemble/plot_adaboost_regression.py",
"type": "Python"
} | """
======================================
Decision Tree Regression with AdaBoost
======================================
A decision tree is boosted using the AdaBoost.R2 [1]_ algorithm on a 1D
sinusoidal dataset with a small amount of Gaussian noise.
299 boosts (300 decision trees) is compared with a single decision t... | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@examples@ensemble@plot_adaboost_regression.py@.PATH_END.py |
{
"filename": "base.py",
"repo_name": "LSSTDESC/descqa",
"repo_path": "descqa_extracted/descqa-master/descqa/base.py",
"type": "Python"
} | from __future__ import division, unicode_literals, absolute_import
import os
__all__ = ['BaseValidationTest', 'TestResult']
class TestResult(object):
"""
class for passing back test result
"""
def __init__(self, score=None, summary=None, passed=False, skipped=False, inspect_only=False):
"""
... | LSSTDESCREPO_NAMEdescqaPATH_START.@descqa_extracted@descqa-master@descqa@base.py@.PATH_END.py |
{
"filename": "binary.py",
"repo_name": "laristra/flecsph",
"repo_path": "flecsph_extracted/flecsph-master/tools/starID_tools/nsID_tov/binary.py",
"type": "Python"
} | #!/usr/bin/env python3
# Copyright (c) 2017 Triad National Security, LLC
# All rights reserved.
# Author : Hyun Lim
# Date : Jun3.27.2017, Updated : Oct.8.2019
# This is a python script that generates binary system in Keperlian orbit
# Usage : binary.py <separation> <input1> <input2> <output_name>
from __future__ i... | laristraREPO_NAMEflecsphPATH_START.@flecsph_extracted@flecsph-master@tools@starID_tools@nsID_tov@binary.py@.PATH_END.py |
{
"filename": "blast_sph.py",
"repo_name": "PrincetonUniversity/athena",
"repo_path": "athena_extracted/athena-master/tst/regression/scripts/tests/curvilinear/blast_sph.py",
"type": "Python"
} | # Regression test to check whether blast wave remains spherical in spherical_polar coords
# Modules
import logging
import scripts.utils.athena as athena
import sys
sys.path.insert(0, '../../vis/python')
import athena_read # noqa
athena_read.check_nan_flag = True
logger = logging.getLogger('athena' + __name__[7:]) # ... | PrincetonUniversityREPO_NAMEathenaPATH_START.@athena_extracted@athena-master@tst@regression@scripts@tests@curvilinear@blast_sph.py@.PATH_END.py |
{
"filename": "_ticklabelposition.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/cone/colorbar/_ticklabelposition.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TicklabelpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="ticklabelposition", parent_name="cone.colorbar", **kwargs
):
super(TicklabelpositionValidator, self).__init__(
plotly_name=plotly... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@cone@colorbar@_ticklabelposition.py@.PATH_END.py |
{
"filename": "definitions.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/frontends/tipsy/definitions.py",
"type": "Python"
} | npart_mapping = {"Gas": "nsph", "DarkMatter": "ndark", "Stars": "nstar"}
| rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@frontends@tipsy@definitions.py@.PATH_END.py |
{
"filename": "_y.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/bar/_y.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="y", parent_name="bar", **kwargs):
super(YValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
anim=kwargs.pop("... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@bar@_y.py@.PATH_END.py |
{
"filename": "io.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/frontends/enzo_e/io.py",
"type": "Python"
} | import numpy as np
from yt.frontends.enzo_e.misc import get_particle_mass_correction, nested_dict_get
from yt.utilities.exceptions import YTException
from yt.utilities.io_handler import BaseIOHandler
from yt.utilities.on_demand_imports import _h5py as h5py
class EnzoEIOHandler(BaseIOHandler):
_dataset_type = "en... | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@frontends@enzo_e@io.py@.PATH_END.py |
{
"filename": "spec_mode_stage_2.ipynb",
"repo_name": "spacetelescope/jwebbinar_prep",
"repo_path": "jwebbinar_prep_extracted/jwebbinar_prep-main/spec_mode/spec_mode_stage_2.ipynb",
"type": "Jupyter Notebook"
} | <a id='top'></a>
# JWST Spectroscopic Data Calibration: Pipeline Stage 2
---
**Authors**:
Maria Pena-Guerrero (pena@stsci.edu), Jo Taylor (jotaylor@stsci.edu)
Based on original notebooks by Bryan Hilbert (hilbert@stsci.edu)
**Latest Update**: Dec. 8, 2022
<div class="alert alert-block alert-warning">
<h3><u><b... | spacetelescopeREPO_NAMEjwebbinar_prepPATH_START.@jwebbinar_prep_extracted@jwebbinar_prep-main@spec_mode@spec_mode_stage_2.ipynb@.PATH_END.py |
{
"filename": "stats_dist_funnel.ipynb",
"repo_name": "NumCosmo/NumCosmo",
"repo_path": "NumCosmo_extracted/NumCosmo-master/notebooks/stats_dist_tests/stats_dist_funnel.ipynb",
"type": "Jupyter Notebook"
} | ---
**License**
stats_dist_funnel
Mon Jan 25 20:56:00 2020\
Copyright 2021\
Sandro Dias Pinto Vitenti <vitenti@uel.br>
---
---
stats_dist_funnel\
Copyright (C) 2021 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 Ge... | NumCosmoREPO_NAMENumCosmoPATH_START.@NumCosmo_extracted@NumCosmo-master@notebooks@stats_dist_tests@stats_dist_funnel.ipynb@.PATH_END.py |
{
"filename": "2023_01_26_045501_2882cd2df464_create_migration_index.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/src/prefect/server/database/_migrations/versions/postgresql/2023_01_26_045501_2882cd2df464_create_migration_index.py",
"type": "Python"
} | """Adds a helper index for the artifact data migration
Revision ID: 2882cd2df464
Revises: 2882cd2df463
Create Date: 2023-01-26 04:55:01.358638
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "2882cd2df464"
down_revision = "2882cd2df463"
branch_labels = None
dep... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@src@prefect@server@database@_migrations@versions@postgresql@2023_01_26_045501_2882cd2df464_create_migration_index.py@.PATH_END.py |
{
"filename": "array_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/ops/parallel_for/array_test.py",
"type": "Python"
} | # Copyright 2018 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@ops@parallel_for@array_test.py@.PATH_END.py |
{
"filename": "mockup.py",
"repo_name": "pyDANDIA/pyDANDIA",
"repo_path": "pyDANDIA_extracted/pyDANDIA-main/trials/db/mockup.py",
"type": "Python"
} | """
Produce some mockup data to fill the database with test data.
"""
import random
import os
from os import getcwd, path
from sys import path as systempath
cwd = getcwd()
systempath.append(path.join(cwd, '../'))
from phot_db import *
def fill_with_fake_entries():
conn = get_connection(database_file_path)
en... | pyDANDIAREPO_NAMEpyDANDIAPATH_START.@pyDANDIA_extracted@pyDANDIA-main@trials@db@mockup.py@.PATH_END.py |
{
"filename": "testsim.py",
"repo_name": "GeminiDRSoftware/GHOSTDR",
"repo_path": "GHOSTDR_extracted/GHOSTDR-master/simulator/testsim.py",
"type": "Python"
} | import pyghost.tests
import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('-cosmics', action='store_false', help="*don't* add in"
" cosmic rays to the generated frames")
parser.add_argument('-crplane', action='store_true', help='output co... | GeminiDRSoftwareREPO_NAMEGHOSTDRPATH_START.@GHOSTDR_extracted@GHOSTDR-master@simulator@testsim.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "QEF/q-e",
"repo_path": "q-e_extracted/q-e-master/KCW/examples/example05.1/nspin1/0_dft/README.md",
"type": "Markdown"
} | # Run the calculations in the following way:
pw.x < scf.pwi | tee scf.pwo
pw.x < bands.pwi | tee bands.pwo
bands.x < bands.in | tee bands.out
gnuplot plot_bands.gnu
| QEFREPO_NAMEq-ePATH_START.@q-e_extracted@q-e-master@KCW@examples@example05.1@nspin1@0_dft@README.md@.PATH_END.py |
{
"filename": "frequencyseries.py",
"repo_name": "gwastro/pycbc",
"repo_path": "pycbc_extracted/pycbc-master/pycbc/types/frequencyseries.py",
"type": "Python"
} | # Copyright (C) 2012 Tito Dal Canton, Josh Willis
#
# This program is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 3 of the License, or (at your
# option) any later version.
#
# This program is... | gwastroREPO_NAMEpycbcPATH_START.@pycbc_extracted@pycbc-master@pycbc@types@frequencyseries.py@.PATH_END.py |
{
"filename": "_tickvals.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatterpolargl/marker/colorbar/_tickvals.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self,
plotly_name="tickvals",
parent_name="scatterpolargl.marker.colorbar",
**kwargs,
):
super(TickvalsValidator, self).__init__(
plot... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatterpolargl@marker@colorbar@_tickvals.py@.PATH_END.py |
{
"filename": "_tickformat.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/parcoords/dimension/_tickformat.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="tickformat", parent_name="parcoords.dimension", **kwargs
):
super(TickformatValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@parcoords@dimension@_tickformat.py@.PATH_END.py |
{
"filename": "_scattermap.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/template/data/_scattermap.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ScattermapValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
def __init__(
self, plotly_name="scattermap", parent_name="layout.template.data", **kwargs
):
super(ScattermapValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@template@data@_scattermap.py@.PATH_END.py |
{
"filename": "tracker.py",
"repo_name": "dmlc/xgboost",
"repo_path": "xgboost_extracted/xgboost-master/python-package/xgboost/tracker.py",
"type": "Python"
} | """Tracker for XGBoost collective."""
import ctypes
import json
import socket
from enum import IntEnum, unique
from typing import Dict, Optional, Union
from .core import _LIB, _check_call, _deprecate_positional_args, make_jcargs
def get_family(addr: str) -> int:
"""Get network family from address."""
return... | dmlcREPO_NAMExgboostPATH_START.@xgboost_extracted@xgboost-master@python-package@xgboost@tracker.py@.PATH_END.py |
{
"filename": "losses.py",
"repo_name": "henrysky/astroNN",
"repo_path": "astroNN_extracted/astroNN-master/src/astroNN/nn/losses.py",
"type": "Python"
} | # ---------------------------------------------------------------#
# astroNN.nn.losses: losses
# ---------------------------------------------------------------#
import keras
from astroNN.config import MAGIC_NUMBER
from astroNN.nn import nn_obj_lookup
epsilon = keras.backend.epsilon
Model = keras.Model
def magic... | henryskyREPO_NAMEastroNNPATH_START.@astroNN_extracted@astroNN-master@src@astroNN@nn@losses.py@.PATH_END.py |
{
"filename": "filtering.py",
"repo_name": "RuthAngus/gprotation",
"repo_path": "gprotation_extracted/gprotation-master/gprotation/filtering.py",
"type": "Python"
} | from scipy.signal import butter, lfilter
import matplotlib.pyplot as plt
import numpy as np
from scipy.signal import freqz
def butter_bandpass(lowcut, fs, order=5):
nyq = 0.5 * fs
low = lowcut / nyq
b, a = butter(order, low, btype='highpass')
return b, a
def butter_bandpass_filter(data, lowcut, fs, ... | RuthAngusREPO_NAMEgprotationPATH_START.@gprotation_extracted@gprotation-master@gprotation@filtering.py@.PATH_END.py |
{
"filename": "sequential.py",
"repo_name": "jiffyclub/palettable",
"repo_path": "palettable_extracted/palettable-master/palettable/colorbrewer/sequential.py",
"type": "Python"
} | from __future__ import absolute_import
from .colorbrewer import _load_maps_by_type
globals().update(_load_maps_by_type('sequential'))
| jiffyclubREPO_NAMEpalettablePATH_START.@palettable_extracted@palettable-master@palettable@colorbrewer@sequential.py@.PATH_END.py |
{
"filename": "Pick.py",
"repo_name": "wmpg/Supracenter",
"repo_path": "Supracenter_extracted/Supracenter-master/supra/Stations/Pick.py",
"type": "Python"
} | """ Inputs a single-component waveform (trace or stream not certain yet) and
outputs the times of the signals.
Pick objects might be overkill for this project, but BAM will use them,
so I've put them in
Author: Luke McFadden
"""
import numpy as np
class Pick:
def __init__(self, first_pt, last_pt):
""" Make... | wmpgREPO_NAMESupracenterPATH_START.@Supracenter_extracted@Supracenter-master@supra@Stations@Pick.py@.PATH_END.py |
{
"filename": "test_structured_chat.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/tests/unit_tests/agents/test_structured_chat.py",
"type": "Python"
} | """Unittests for langchain.agents.chat package."""
from textwrap import dedent
from typing import Any, Tuple
from langchain_core.agents import AgentAction, AgentFinish
from langchain_core.prompts.chat import (
ChatPromptTemplate,
HumanMessagePromptTemplate,
SystemMessagePromptTemplate,
)
from langchain_co... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@tests@unit_tests@agents@test_structured_chat.py@.PATH_END.py |
{
"filename": "launch.py",
"repo_name": "davidharvey1986/pyRRG",
"repo_path": "pyRRG_extracted/pyRRG-master/unittests/bugFixPyRRG/lib/python3.7/site-packages/setuptools/launch.py",
"type": "Python"
} | """
Launch the Python script on the command line after
setuptools is bootstrapped via import.
"""
# Note that setuptools gets imported implicitly by the
# invocation of this script using python -m setuptools.launch
import tokenize
import sys
def run():
"""
Run the script in sys.argv[1] as if it had
been... | davidharvey1986REPO_NAMEpyRRGPATH_START.@pyRRG_extracted@pyRRG-master@unittests@bugFixPyRRG@lib@python3.7@site-packages@setuptools@launch.py@.PATH_END.py |
{
"filename": "agent_fireworks_ai_langchain_mongodb.ipynb",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/cookbook/agent_fireworks_ai_langchain_mongodb.ipynb",
"type": "Jupyter Notebook"
} | [](https://colab.research.google.com/github/mongodb-developer/GenAI-Showcase/blob/main/notebooks/agents/agent_fireworks_ai_langchain_mongodb.ipynb)
[](https://www.mongodb.com/devel... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@cookbook@agent_fireworks_ai_langchain_mongodb.ipynb@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/layout/title/subtitle/_font.py",
"type": "Python"
} | from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
import copy as _copy
class Font(_BaseLayoutHierarchyType):
# class properties
# --------------------
_parent_path_str = "layout.title.subtitle"
_path_str = "layout.title.subtitle.font"
_valid_props = {
"c... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@layout@title@subtitle@_font.py@.PATH_END.py |
{
"filename": "_version.py",
"repo_name": "simonsobs/nemo",
"repo_path": "nemo_extracted/nemo-main/nemo/_version.py",
"type": "Python"
} |
# This file helps to compute a version number in source trees obtained from
# git-archive tarball (such as those provided by githubs download-from-tag
# feature). Distribution tarballs (built by setup.py sdist) and build
# directories (produced by setup.py build) will contain a much shorter file
# that just contains t... | simonsobsREPO_NAMEnemoPATH_START.@nemo_extracted@nemo-main@nemo@_version.py@.PATH_END.py |
{
"filename": "agent.py",
"repo_name": "simonsobs/socs",
"repo_path": "socs_extracted/socs-main/socs/agents/lakeshore372/agent.py",
"type": "Python"
} | import argparse
import os
import time
import numpy as np
import txaio
import yaml
from ocs import ocs_agent, site_config
from ocs.ocs_twisted import Pacemaker, TimeoutLock
from twisted.internet import reactor
from socs.Lakeshore.Lakeshore372 import LS372
def still_power_to_perc(power, res, lead, max_volts):
cur... | simonsobsREPO_NAMEsocsPATH_START.@socs_extracted@socs-main@socs@agents@lakeshore372@agent.py@.PATH_END.py |
{
"filename": "scene_ui_plugin.py",
"repo_name": "enthought/mayavi",
"repo_path": "mayavi_extracted/mayavi-master/tvtk/plugins/scene/ui/scene_ui_plugin.py",
"type": "Python"
} | """ A TVTK render window scene UI plugin. """
# Enthought library imports.
from envisage.api import Plugin
from traits.api import List
class SceneUIPlugin(Plugin):
""" A TVTK render window scene UI plugin.
This is the plugin that contributes actions, menus, preferences pages
etc.
"""
# Extens... | enthoughtREPO_NAMEmayaviPATH_START.@mayavi_extracted@mayavi-master@tvtk@plugins@scene@ui@scene_ui_plugin.py@.PATH_END.py |
{
"filename": "units.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/src/amuse/units/units.py",
"type": "Python"
} | """
Units supported in AMUSE
"""
import numpy
from . import constants
from . import quantities
# The two imports below are to explicitly expose everything directly used in
# this module.
from .si import (named, s, m, kg, none, core, no_unit,)
from .derivedsi import (km, V, W, J, Pa, rad,)
# importing * from si and d... | amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@src@amuse@units@units.py@.PATH_END.py |
{
"filename": "post_process_tod.py",
"repo_name": "cosmo-ethz/seek",
"repo_path": "seek_extracted/seek-master/seek/plugins/post_process_tod.py",
"type": "Python"
} | # SEEK is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# SEEK is distributed in the hope that it will be useful,
# but WITHOUT ANY W... | cosmo-ethzREPO_NAMEseekPATH_START.@seek_extracted@seek-master@seek@plugins@post_process_tod.py@.PATH_END.py |
{
"filename": "pldcorrector.py",
"repo_name": "lightkurve/lightkurve",
"repo_path": "lightkurve_extracted/lightkurve-main/src/lightkurve/correctors/pldcorrector.py",
"type": "Python"
} | """Defines a `PLDCorrector` class which provides a simple way to correct a
light curve by utilizing the pixel time series data contained within the
target's own Target Pixel File.
`PLDCorrector` builds upon `RegressionCorrector` by correlating the light curve
against a design matrix composed of the following elements:... | lightkurveREPO_NAMElightkurvePATH_START.@lightkurve_extracted@lightkurve-main@src@lightkurve@correctors@pldcorrector.py@.PATH_END.py |
{
"filename": "edit_nc_file_to_preserve_monthly_means.py",
"repo_name": "ExeClim/Isca",
"repo_path": "Isca_extracted/Isca-master/src/extra/python/scripts/edit_nc_file_to_preserve_monthly_means.py",
"type": "Python"
} | import xarray as xar
import numpy as np
import pdb
import matplotlib.pyplot as plt
import create_timeseries as cts
def adjust_data(input_data):
"""
adjust_data solves the matrix problem Ax=b, where A is a matrix with recurring entries of 0.125, 0.75, 0.125,
x is 12 unknowns, and b is a column vector of 12 monthly... | ExeClimREPO_NAMEIscaPATH_START.@Isca_extracted@Isca-master@src@extra@python@scripts@edit_nc_file_to_preserve_monthly_means.py@.PATH_END.py |
{
"filename": "toymodel.py",
"repo_name": "cta-observatory/ctapipe",
"repo_path": "ctapipe_extracted/ctapipe-main/src/ctapipe/image/toymodel.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
Utilities to generate toymodel (fake) reconstruction inputs for testing
purposes.
Examples:
.. code-block:: python
>>> from ctapipe.instrument import CameraGeometry
>>> geom = CameraGeometry.make_rectangular(20, 20)
>>> showermodel = Gau... | cta-observatoryREPO_NAMEctapipePATH_START.@ctapipe_extracted@ctapipe-main@src@ctapipe@image@toymodel.py@.PATH_END.py |
{
"filename": "custom_partitioning_sharding_rule_test.py",
"repo_name": "jax-ml/jax",
"repo_path": "jax_extracted/jax-main/tests/custom_partitioning_sharding_rule_test.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@tests@custom_partitioning_sharding_rule_test.py@.PATH_END.py |
{
"filename": "UBVRI.py",
"repo_name": "yt-project/yt",
"repo_path": "yt_extracted/yt-main/yt/visualization/volume_rendering/UBVRI.py",
"type": "Python"
} | import numpy as np
johnson_filters = {
"B": {
"wavelen": np.array(
[
3600,
3650,
3700,
3750,
3800,
3850,
3900,
3950,
4000,
4050,
... | yt-projectREPO_NAMEytPATH_START.@yt_extracted@yt-main@yt@visualization@volume_rendering@UBVRI.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "astropy/photutils",
"repo_path": "photutils_extracted/photutils-main/docs/conf.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
Documentation build configuration file.
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
file.
All configuration values have a default. Some values are... | astropyREPO_NAMEphotutilsPATH_START.@photutils_extracted@photutils-main@docs@conf.py@.PATH_END.py |
{
"filename": "run.py",
"repo_name": "pmelchior/skylens",
"repo_path": "skylens_extracted/skylens-master/moka_batch/run.py",
"type": "Python"
} | #!/bin/env python
from os import system, popen, environ
import fitsio
import numpy as np
from glob import glob
from random import randint
def kappa2alpha(kappafile, alphafile):
fits = fitsio.FITS(kappafile)
kappa = fits[0].read()
h = fits[0].read_header()
fits.close()
sidel = h['SIDEL']
Dl = h... | pmelchiorREPO_NAMEskylensPATH_START.@skylens_extracted@skylens-master@moka_batch@run.py@.PATH_END.py |
{
"filename": "mockmaker.py",
"repo_name": "bccp/nbodykit",
"repo_path": "nbodykit_extracted/nbodykit-master/nbodykit/mockmaker.py",
"type": "Python"
} | import numpy
import numbers
from mpi4py import MPI
from pmesh.pm import RealField, ComplexField
from nbodykit.meshtools import SlabIterator
from nbodykit.utils import GatherArray, ScatterArray
from nbodykit.mpirng import MPIRandomState
import mpsort
def gaussian_complex_fields(pm, linear_power, seed,
unit... | bccpREPO_NAMEnbodykitPATH_START.@nbodykit_extracted@nbodykit-master@nbodykit@mockmaker.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/scattermap/cluster/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._stepsrc import StepsrcValidator
from ._step import StepValidator
from ._sizesrc import SizesrcValidator
from ._size import SizeValidator
from ._opacitysrc import OpacitysrcValidator
from ._opacity ... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattermap@cluster@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "mit-ll/spacegym-kspdg",
"repo_path": "spacegym-kspdg_extracted/spacegym-kspdg-main/src/kspdg/pe1/__init__.py",
"type": "Python"
} | # Copyright (c) 2024, MASSACHUSETTS INSTITUTE OF TECHNOLOGY
# Subject to FAR 52.227-11 β Patent Rights β Ownership by the Contractor (May 2014).
# SPDX-License-Identifier: MIT
| mit-llREPO_NAMEspacegym-kspdgPATH_START.@spacegym-kspdg_extracted@spacegym-kspdg-main@src@kspdg@pe1@__init__.py@.PATH_END.py |
{
"filename": "compiled.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pygments/py2/pygments/lexers/compiled.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
pygments.lexers.compiled
~~~~~~~~~~~~~~~~~~~~~~~~
Just export lexer classes previously contained in this module.
:copyright: Copyright 2006-2019 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
from pygments.lexers.jvm import JavaLexer, Sc... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pygments@py2@pygments@lexers@compiled.py@.PATH_END.py |
{
"filename": "_title.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/parcoords/line/colorbar/_title.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
def __init__(
self, plotly_name="title", parent_name="parcoords.line.colorbar", **kwargs
):
super(TitleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@parcoords@line@colorbar@_title.py@.PATH_END.py |
{
"filename": "chaindesk.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/retrievers/chaindesk.py",
"type": "Python"
} | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.retrievers import ChaindeskRetriever
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@retrievers@chaindesk.py@.PATH_END.py |
{
"filename": "_ticklabelstep.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_ticklabelstep.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TicklabelstepValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self,
plotly_name="ticklabelstep",
parent_name="scatter.marker.colorbar",
**kwargs,
):
super(TicklabelstepValidator, self).__init__(
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatter@marker@colorbar@_ticklabelstep.py@.PATH_END.py |
{
"filename": "verification.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pygments/py2/pygments/lexers/verification.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
pygments.lexers.verification
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Lexer for Intermediate Verification Languages (IVLs).
:copyright: Copyright 2006-2019 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
from pygments.lexer import RegexLexer, include... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pygments@py2@pygments@lexers@verification.py@.PATH_END.py |
{
"filename": "stats.py",
"repo_name": "gogrean/PyXel",
"repo_path": "PyXel_extracted/PyXel-master/pyxel/stats.py",
"type": "Python"
} | import numpy as np
def cstat_deriv(measured_raw_cts, updated_model, measured_bkg_cts,
t_raw, t_bkg, x):
"""
Calculates the derivatives of the C-statistic.
"""
model_derivs = np.array(updated_model.fit_deriv(x, *updated_model.parameters))
model_vals = updated_model(x)
nbin... | gogreanREPO_NAMEPyXelPATH_START.@PyXel_extracted@PyXel-master@pyxel@stats.py@.PATH_END.py |
{
"filename": "_legendgroup.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/area/_legendgroup.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="legendgroup", parent_name="area", **kwargs):
super(LegendgroupValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@area@_legendgroup.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/layout/xaxis/rangeselector/font/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self,
plotly_name="color",
parent_name="layout.xaxis.rangeselector.font",
**kwargs,
):
super(ColorValidator, self).__init__(
plotly_name=plot... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@xaxis@rangeselector@font@_color.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "starkit/wsynphot",
"repo_path": "wsynphot_extracted/wsynphot-master/wsynphot/data/hst/acs/__init__.py",
"type": "Python"
} | starkitREPO_NAMEwsynphotPATH_START.@wsynphot_extracted@wsynphot-master@wsynphot@data@hst@acs@__init__.py@.PATH_END.py | |
{
"filename": "parameter_server_strategy_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/distribute/parameter_server_strategy_test.py",
"type": "Python"
} | # Copyright 2018 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@distribute@parameter_server_strategy_test.py@.PATH_END.py |
{
"filename": "SVFields.ipynb",
"repo_name": "desihub/desiutil",
"repo_path": "desiutil_extracted/desiutil-main/doc/nb/SVFields.ipynb",
"type": "Jupyter Notebook"
} | # SV Fields
This example is based on a plot initially developed by Anand Raichoor.
```python
%matplotlib inline
import os
from pkg_resources import resource_filename
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Polygon
import astropy.units as u
from astropy.coordinates import Sky... | desihubREPO_NAMEdesiutilPATH_START.@desiutil_extracted@desiutil-main@doc@nb@SVFields.ipynb@.PATH_END.py |
{
"filename": "intg.py",
"repo_name": "ja-vazquez/SimpleMC",
"repo_path": "SimpleMC_extracted/SimpleMC-master/simplemc/tools/intg.py",
"type": "Python"
} | #!/usr/bin/env python
from RunBase import *
C=LCDMCosmology()
Df=C.Da_z(1090)
lims=[0.25,0.50, 0.95, 0.99, 0.995]
l=lims.pop(0)
z=0.5;
while True:
f=C.Da_z(z)/Df
if (f>l):
print z,f, "XXX"
if len(lims)>0:
l=lims.pop(0)
else:
break
z*=1.03
| ja-vazquezREPO_NAMESimpleMCPATH_START.@SimpleMC_extracted@SimpleMC-master@simplemc@tools@intg.py@.PATH_END.py |
{
"filename": "plot_cf_colour.py",
"repo_name": "igmhub/LyaCoLoRe",
"repo_path": "LyaCoLoRe_extracted/LyaCoLoRe-master/picca_analysis/plot_cf_colour.py",
"type": "Python"
} | import numpy as np
import matplotlib.pyplot as plt
from astropy.io import fits
import sys
from lyacolore import plot_functions
default_location = ['/global/homes/j/jfarr/Programs/picca/picca_analysis_000/picca_00000/']
if len(sys.argv) > 1:
locations = sys.argv[1:]
else:
locations = default_location
#Plotti... | igmhubREPO_NAMELyaCoLoRePATH_START.@LyaCoLoRe_extracted@LyaCoLoRe-master@picca_analysis@plot_cf_colour.py@.PATH_END.py |
{
"filename": "plotting.py",
"repo_name": "aabdurrouf/piXedfit",
"repo_path": "piXedfit_extracted/piXedfit-main/piXedfit/piXedfit_analysis/plotting.py",
"type": "Python"
} | import numpy as np
from math import pow
import sys, os
from operator import itemgetter
import matplotlib
matplotlib.use('agg')
from astropy.io import fits
import matplotlib.pyplot as plt
from matplotlib.ticker import ScalarFormatter
from scipy.interpolate import interp1d
from mpl_toolkits.axes_grid1 import make_axes_lo... | aabdurroufREPO_NAMEpiXedfitPATH_START.@piXedfit_extracted@piXedfit-main@piXedfit@piXedfit_analysis@plotting.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "dmlc/xgboost",
"repo_path": "xgboost_extracted/xgboost-master/R-package/README.md",
"type": "Markdown"
} | XGBoost R Package for Scalable GBM
==================================
[](https://cran.r-project.org/web/packages/xgboost)
[](https://cran.rstudio.com/web/packages/xgboost/index.html)
[![Documenta... | dmlcREPO_NAMExgboostPATH_START.@xgboost_extracted@xgboost-master@R-package@README.md@.PATH_END.py |
{
"filename": "test_YSEDR1_AD.ipynb",
"repo_name": "patrickaleo/LAISS-local",
"repo_path": "LAISS-local_extracted/LAISS-local-main/notebooks/test_YSEDR1_AD.ipynb",
"type": "Jupyter Notebook"
} | ```python
import time
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import pickle
import seaborn as sns
import os
import sys
import annoy
from annoy import AnnoyIndex
import random
import glob
from IPython.display import display_markdown
from collections import Counter
from sklearn import ... | patrickaleoREPO_NAMELAISS-localPATH_START.@LAISS-local_extracted@LAISS-local-main@notebooks@test_YSEDR1_AD.ipynb@.PATH_END.py |
{
"filename": "VariationalEquations.ipynb",
"repo_name": "tigerchenlu98/rebound",
"repo_path": "rebound_extracted/rebound-main/ipython_examples/VariationalEquations.ipynb",
"type": "Jupyter Notebook"
} | # Variational Equations
For a complete introduction to variational equations, please read the paper by Rein and Tamayo (2016).
For this tutorial, we work with a two planet system. We vary the initial semi-major axis $a$ of the outer planet. Because the planets interact with each other, the final $x$-position of the in... | tigerchenlu98REPO_NAMEreboundPATH_START.@rebound_extracted@rebound-main@ipython_examples@VariationalEquations.ipynb@.PATH_END.py |
{
"filename": "twoMass.py",
"repo_name": "ProfessorBrunner/rc3-pipeline",
"repo_path": "rc3-pipeline_extracted/rc3-pipeline-master/pipeline/twoMass.py",
"type": "Python"
} | # Note: 2MASS Class can not be named starting with number
from survey import Survey
class TwoMass(Survey):
def __init__(self):
self.name = '2MASS'
self.bands=['j','h','k']
self.color_bands=['j','h','k']
self.best_band ='k' #see Fig 2 (Skrutskie et al. 2006)
self.pixel_scale ... | ProfessorBrunnerREPO_NAMErc3-pipelinePATH_START.@rc3-pipeline_extracted@rc3-pipeline-master@pipeline@twoMass.py@.PATH_END.py |
{
"filename": "spiefigures.ipynb",
"repo_name": "Jashcraf/poke",
"repo_path": "poke_extracted/poke-main/docs/_build/html/notebooks/spiefigures.ipynb",
"type": "Jupyter Notebook"
} | ```python
import numpy as np
import matplotlib.pyplot as plt
from poke.writing import read_serial_to_rayfront
from poke.poke_core import Rayfront
import poke.plotting as plot
```
```python
rf = read_serial_to_rayfront('sample_rayfront.msgpack')
```
```python
rayset = 0
surf = -1
size = 1e-10
r = rf.xData[rayset,0]*... | JashcrafREPO_NAMEpokePATH_START.@poke_extracted@poke-main@docs@_build@html@notebooks@spiefigures.ipynb@.PATH_END.py |
{
"filename": "DopplerImagingGallery_Variable.ipynb",
"repo_name": "rodluger/starry",
"repo_path": "starry_extracted/starry-master/notebooks/DopplerImagingGallery_Variable.ipynb",
"type": "Jupyter Notebook"
} | # Spectrally variable `SPOT`
<script>
// Force "pop out" links to open in the browser (rather than download)
document.addEventListener("DOMContentLoaded", function(event) {
var links = document.getElementsByClassName("reference download internal")
for (var i = 0; i < links.length; i++) {
... | rodlugerREPO_NAMEstarryPATH_START.@starry_extracted@starry-master@notebooks@DopplerImagingGallery_Variable.ipynb@.PATH_END.py |
{
"filename": "nnu-H0-sigma8.py",
"repo_name": "cmbant/CosmoMC",
"repo_path": "CosmoMC_extracted/CosmoMC-master/batch3/outputs/nnu-H0-sigma8.py",
"type": "Python"
} | import planckStyle as s
from pylab import *
g = s.getSinglePlotter()
g.settings.param_names_for_labels = 'clik_Hunits.paramnames'
base = 'base_nnu_'
roots = [base + s.defdata_all]
neff = [1, 5]
updated = True
if updated:
g.add_y_bands(74.03, 1.42)
g.add_text_left('Riess et al. (2019)', 0.03, 0.8, color='k... | cmbantREPO_NAMECosmoMCPATH_START.@CosmoMC_extracted@CosmoMC-master@batch3@outputs@nnu-H0-sigma8.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "amerand/CANDID",
"repo_path": "CANDID_extracted/CANDID-master/README.md",
"type": "Markdown"
} | # [C]ompanion [A]nalysis and [N]on-[D]etection in [I]nterferometric [D]ata
This is a suite of Python 2/3 tools to find faint companion around star in interferometric data in the [OIFITS format](http://www.mrao.cam.ac.uk/research/optical-interferometry/oifits/). This tool allows to systematically search for faint compa... | amerandREPO_NAMECANDIDPATH_START.@CANDID_extracted@CANDID-master@README.md@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/pointcloud/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._hoverlabel import Hoverlabel
from ._marker import Marker
from ._stream import Stream
from . import hoverlabel
from . import marker
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@pointcloud@__init__.py@.PATH_END.py |
{
"filename": "opfilt_kk.py",
"repo_name": "carronj/plancklens",
"repo_path": "plancklens_extracted/plancklens-master/plancklens/qcinv/opfilt_kk.py",
"type": "Python"
} | """lending map Wiener and inverse variance filtering module.
This is literally the very same spin-0 inverse variance filtering codes than for temperatures,
with indices 'tt' replaced with 'pp' and potential to k remapping
"""
from __future__ import absolute_import
from __future__ import print_function
import hashli... | carronjREPO_NAMEplancklensPATH_START.@plancklens_extracted@plancklens-master@plancklens@qcinv@opfilt_kk.py@.PATH_END.py |
{
"filename": "_variantsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattergeo/textfont/_variantsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VariantsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="variantsrc", parent_name="scattergeo.textfont", **kwargs
):
super(VariantsrcValidator, self).__init__(
plotly_name=plotly_name,
par... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattergeo@textfont@_variantsrc.py@.PATH_END.py |
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