metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "posterior_ensemble.py",
"repo_name": "mackelab/sbi",
"repo_path": "sbi_extracted/sbi-main/sbi/utils/posterior_ensemble.py",
"type": "Python"
} | # This file is part of sbi, a toolkit for simulation-based inference. sbi is licensed
# under the Apache License Version 2.0, see <https://www.apache.org/licenses/>
import warnings
from typing import List, Optional, Union
from torch import Tensor
from torch.distributions import Distribution
from sbi.inference.poster... | mackelabREPO_NAMEsbiPATH_START.@sbi_extracted@sbi-main@sbi@utils@posterior_ensemble.py@.PATH_END.py |
{
"filename": "CONTRIBUTING.md",
"repo_name": "mperrin/poppy",
"repo_path": "poppy_extracted/poppy-master/CONTRIBUTING.md",
"type": "Markdown"
} | Please open a new issue or new pull request for bugs, feedback, or new features you would like to see. If there is an issue you would like to work on, please leave a comment and we will be happy to assist. New contributions and contributors are very welcome!
New to github or open source projects? If you are unsure abo... | mperrinREPO_NAMEpoppyPATH_START.@poppy_extracted@poppy-master@CONTRIBUTING.md@.PATH_END.py |
{
"filename": "FITSBeamInterpolator.py",
"repo_name": "ratt-ru/CubiCal",
"repo_path": "CubiCal_extracted/CubiCal-master/cubical/degridder/FITSBeamInterpolator.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 absolute_import
from __future__ import division
from __future__ import print_f... | ratt-ruREPO_NAMECubiCalPATH_START.@CubiCal_extracted@CubiCal-master@cubical@degridder@FITSBeamInterpolator.py@.PATH_END.py |
{
"filename": "readme.md",
"repo_name": "logan-pearce/LOFTI",
"repo_path": "LOFTI_extracted/LOFTI-master/Using_Position_Vector/readme.md",
"type": "Markdown"
} | # LOFTI
#### Or: Logan's OFTI
This is my implementation of Orbits for the Impatient developed by Blunt et.al. 2017 (http://iopscience.iop.org/article/10.3847/1538-3881/aa6930/pdf). It was developed independantly from that group's efforts based on this paper.
This is the version of LOFTI that fits in 6-d phasespace, ... | logan-pearceREPO_NAMELOFTIPATH_START.@LOFTI_extracted@LOFTI-master@Using_Position_Vector@readme.md@.PATH_END.py |
{
"filename": "example_script_m.py",
"repo_name": "wfirst-cgi/emccd_detect",
"repo_path": "emccd_detect_extracted/emccd_detect-master/emccd_detect/example_script_m.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""Example script for EMCCDDetect calls."""
import os
import sys
from pathlib import Path
import numpy as np
import matplotlib.pyplot as plt
from astropy.io import fits
from emccd_detect.emccd_detect import EMCCDDetect, emccd_detect
def imagesc(data, title=None, vmin=None, vmax=None, cmap='... | wfirst-cgiREPO_NAMEemccd_detectPATH_START.@emccd_detect_extracted@emccd_detect-master@emccd_detect@example_script_m.py@.PATH_END.py |
{
"filename": "discriminator.py",
"repo_name": "xwzhang98/SREmulator",
"repo_path": "SREmulator_extracted/SREmulator-main/map2map/map2map/models/discriminator.py",
"type": "Python"
} | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from scipy.special import hyp2f1
from functools import partial
class Downsample(nn.Module):
def __init__(
self,
in_channels,
use_conv,
out_channels=None,
padding=0,
pad... | xwzhang98REPO_NAMESREmulatorPATH_START.@SREmulator_extracted@SREmulator-main@map2map@map2map@models@discriminator.py@.PATH_END.py |
{
"filename": "human.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/llms/human.py",
"type": "Python"
} | from typing import Any, Callable, List, Mapping, Optional
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from pydantic import Field
from langchain_community.llms.utils import enforce_stop_tokens
def _display_prompt(prompt: str) -> None:
"""Displ... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@llms@human.py@.PATH_END.py |
{
"filename": "demo_starglm_agent.ipynb",
"repo_name": "Yu-Yang-Li/StarWhisper",
"repo_path": "StarWhisper_extracted/StarWhisper-main/Agent_demo/demo_starglm_agent.ipynb",
"type": "Jupyter Notebook"
} | ### clone代码
```python
!git clone https://github.com/modelscope/modelscope-agent.git
```
### 安装特定依赖
```python
!cd modelscope-agent && pip install -r requirements.txt
! pip install transformers_stream_generator
! pip install invisible-watermark>=2.0
```
```python
import os
os.chdir('modelscope-agent/demo')
impo... | Yu-Yang-LiREPO_NAMEStarWhisperPATH_START.@StarWhisper_extracted@StarWhisper-main@Agent_demo@demo_starglm_agent.ipynb@.PATH_END.py |
{
"filename": "jump.py",
"repo_name": "spacetelescope/jwst",
"repo_path": "jwst_extracted/jwst-main/jwst/jump/jump.py",
"type": "Python"
} | import logging
import numpy as np
from stcal.jump.jump import detect_jumps
from stdatamodels.jwst.datamodels import dqflags
from ..lib import reffile_utils
log = logging.getLogger(__name__)
log.setLevel(logging.DEBUG)
def run_detect_jumps(output_model, gain_model, readnoise_model,
rejection_thr... | spacetelescopeREPO_NAMEjwstPATH_START.@jwst_extracted@jwst-main@jwst@jump@jump.py@.PATH_END.py |
{
"filename": "einsum_utils.py",
"repo_name": "neuraloperator/neuraloperator",
"repo_path": "neuraloperator_extracted/neuraloperator-main/neuralop/layers/einsum_utils.py",
"type": "Python"
} | import torch
import opt_einsum
import tensorly as tl
from tensorly.plugins import use_opt_einsum
tl.set_backend('pytorch')
use_opt_einsum('optimal')
def einsum_complexhalf_two_input(eq, a, b):
"""
Compute (two-input) einsum for complexhalf tensors.
Because torch.einsum currently does not support complex32... | neuraloperatorREPO_NAMEneuraloperatorPATH_START.@neuraloperator_extracted@neuraloperator-main@neuralop@layers@einsum_utils.py@.PATH_END.py |
{
"filename": "gps_test.py",
"repo_name": "LSSTDESC/snmachine",
"repo_path": "snmachine_extracted/snmachine-main/test/gps_test.py",
"type": "Python"
} | """
Tests related to Gaussian Processes module.
"""
import os
import numpy as np
import pytest
import pandas as pd
from snmachine import example_data, gps
# Import test data
example_data_path = os.path.join(example_data, 'example_data_for_tests.pckl')
example_data = pd.read_pickle(example_data_path)
# Start the ... | LSSTDESCREPO_NAMEsnmachinePATH_START.@snmachine_extracted@snmachine-main@test@gps_test.py@.PATH_END.py |
{
"filename": "axislabels.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/astropy/visualization/wcsaxes/axislabels.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import print_function, division, absolute_import
import numpy as np
from matplotlib.text import Text
import matplotlib.transforms as mtransforms
from .frame import RectangularFrame
class AxisLabels(Text):
def __init__(self, frame... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@astropy@visualization@wcsaxes@axislabels.py@.PATH_END.py |
{
"filename": "_coloraxis.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/cone/_coloraxis.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
def __init__(self, plotly_name="coloraxis", parent_name="cone", **kwargs):
super(ColoraxisValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@cone@_coloraxis.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "wmpg/Supracenter",
"repo_path": "Supracenter_extracted/Supracenter-master/supra/__init__.py",
"type": "Python"
} | wmpgREPO_NAMESupracenterPATH_START.@Supracenter_extracted@Supracenter-master@supra@__init__.py@.PATH_END.py | |
{
"filename": "drf.py",
"repo_name": "Keck-DataReductionPipelines/OsirisDRP",
"repo_path": "OsirisDRP_extracted/OsirisDRP-master/tests/drptestbones/drf.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Functions for parsing and understanding DRFs.
"""
import os
import xml.etree.ElementTree as et
__all__ = ['expand_osiris_path']
def expand_osiris_path(path):
"""Expand an OSIRIS path which might contain environment variables."""
return os.path.normpath(os.path.expanduser(os.path.ex... | Keck-DataReductionPipelinesREPO_NAMEOsirisDRPPATH_START.@OsirisDRP_extracted@OsirisDRP-master@tests@drptestbones@drf.py@.PATH_END.py |
{
"filename": "dome.py",
"repo_name": "astroufsc/chimera",
"repo_path": "chimera_extracted/chimera-master/src/chimera/instruments/dome.py",
"type": "Python"
} | #! /usr/bin/env python
# -*- coding: iso-8859-1 -*-
# chimera - observatory automation system
# Copyright (C) 2006-2007 P. Henrique Silva <henrique@astro.ufsc.br>
# Copyright (C) 2006-2007 Antonio Kanaan <kanaan@astro.ufsc.br>
# This program is free software; you can redistribute it and/or
# modify it under the ter... | astroufscREPO_NAMEchimeraPATH_START.@chimera_extracted@chimera-master@src@chimera@instruments@dome.py@.PATH_END.py |
{
"filename": "test_metacal.py",
"repo_name": "GalSim-developers/GalSim",
"repo_path": "GalSim_extracted/GalSim-main/tests/test_metacal.py",
"type": "Python"
} | # Copyright (c) 2012-2023 by the GalSim developers team on GitHub
# https://github.com/GalSim-developers
#
# This file is part of GalSim: The modular galaxy image simulation toolkit.
# https://github.com/GalSim-developers/GalSim
#
# GalSim is free software: redistribution and use in source and binary forms,
# with or w... | GalSim-developersREPO_NAMEGalSimPATH_START.@GalSim_extracted@GalSim-main@tests@test_metacal.py@.PATH_END.py |
{
"filename": "subhalo_model_factory.py",
"repo_name": "astropy/halotools",
"repo_path": "halotools_extracted/halotools-master/halotools/empirical_models/factories/subhalo_model_factory.py",
"type": "Python"
} | """
Module storing the
`~halotools.empirical_models.SubhaloModelFactory` class
that governs how all subhalo-based models are built.
"""
from copy import copy
from warnings import warn
import collections
from ..factories import ModelFactory, SubhaloMockFactory
from .. import model_helpers
from ...sim_manager import ... | astropyREPO_NAMEhalotoolsPATH_START.@halotools_extracted@halotools-master@halotools@empirical_models@factories@subhalo_model_factory.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/statsmodels/regression/tests/results/__init__.py",
"type": "Python"
} | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@statsmodels@regression@tests@results@__init__.py@.PATH_END.py | |
{
"filename": "propagate.py",
"repo_name": "jrenaud90/TidalPy",
"repo_path": "TidalPy_extracted/TidalPy-main/TidalPy/radial_solver/matrix/propagate.py",
"type": "Python"
} | """ Propagation of tidal solution using the fundamental matrix
References
----------
SVC16 : Sabadini, Vermeerson, & Cambiotti (2016, DOI: 10.1007/978-94-017-7552-6)
HH14 : Henning & Hurford (2014, DOI: 10.1088/0004-637X/789/1/30)
ID : IcyDwarf Code by Marc Neveu (https://github.com/MarcNeveu/IcyDwarf/blob/master/... | jrenaud90REPO_NAMETidalPyPATH_START.@TidalPy_extracted@TidalPy-main@TidalPy@radial_solver@matrix@propagate.py@.PATH_END.py |
{
"filename": "readme.md",
"repo_name": "STEllAR-GROUP/octotiger",
"repo_path": "octotiger_extracted/octotiger-master/tools/docker/base_image/readme.md",
"type": "Markdown"
} | # Supported tags and respective `Dockerfile` links
* `prerequisites-clang9-debug`, LLVM 9.0.0, HPX, Vc, and Boost built in Debug mode
* [Dockerfile](https://github.com/STEllAR-GROUP/octotiger/blob/master/tools/docker/base_image/prerequisites-clang.dockerfile)
* build arguments: `UBUNTU_RELEASE=18.04` `LLVM_RELEASE=9.... | STEllAR-GROUPREPO_NAMEoctotigerPATH_START.@octotiger_extracted@octotiger-master@tools@docker@base_image@readme.md@.PATH_END.py |
{
"filename": "_tickcolor.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattermap/marker/colorbar/_tickcolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self,
plotly_name="tickcolor",
parent_name="scattermap.marker.colorbar",
**kwargs,
):
super(TickcolorValidator, self).__init__(
plotly_na... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattermap@marker@colorbar@_tickcolor.py@.PATH_END.py |
{
"filename": "_clicktoshow.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/annotation/_clicktoshow.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ClicktoshowValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="clicktoshow", parent_name="layout.annotation", **kwargs
):
super(ClicktoshowValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@annotation@_clicktoshow.py@.PATH_END.py |
{
"filename": "test_arpack.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/sparse/linalg/_eigen/arpack/tests/test_arpack.py",
"type": "Python"
} | __usage__ = """
To run tests locally:
python tests/test_arpack.py [-l<int>] [-v<int>]
"""
import threading
import itertools
import numpy as np
from numpy.testing import assert_allclose, assert_equal, suppress_warnings
from pytest import raises as assert_raises
import pytest
from numpy import dot, conj, random
fr... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@sparse@linalg@_eigen@arpack@tests@test_arpack.py@.PATH_END.py |
{
"filename": "master_script.py",
"repo_name": "benrendle/AIMS",
"repo_path": "AIMS_extracted/AIMS-master/AIMS-Py35/Binary_Grid_Generation/master_script.py",
"type": "Python"
} | # Makes script that extracts the tgz files
########################################
def get_lines(filename):
lines = []
with open(filename) as f:
for line in f:
lines.append(line.rstrip("\n"))
return lines
##########################################
root = "/home/miglioa/GridCLESAIMS_D" # location of .tgz f... | benrendleREPO_NAMEAIMSPATH_START.@AIMS_extracted@AIMS-master@AIMS-Py35@Binary_Grid_Generation@master_script.py@.PATH_END.py |
{
"filename": "_family.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/indicator/delta/font/_family.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="family", parent_name="indicator.delta.font", **kwargs
):
super(FamilyValidator, self).__init__(
plotly_name=plotly_name,
parent_name... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@indicator@delta@font@_family.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "ratt-ru/QuartiCal",
"repo_path": "QuartiCal_extracted/QuartiCal-main/quartical/weights/__init__.py",
"type": "Python"
} | ratt-ruREPO_NAMEQuartiCalPATH_START.@QuartiCal_extracted@QuartiCal-main@quartical@weights@__init__.py@.PATH_END.py | |
{
"filename": "runtime.py",
"repo_name": "desihub/LSS",
"repo_path": "LSS_extracted/LSS-main/py/LSS/DESI_ke/runtime.py",
"type": "Python"
} | import os
import sys
import time
import warnings
from astropy.io.fits.verify import VerifyWarning
from astropy.utils.metadata import MergeConflictWarning
# Suppress verify warnings, e.g. HIERARCH card length.
warnings.simplefilter('ignore', category=VerifyWarning)
warnings.simplefilter('ignore', category=MergeCo... | desihubREPO_NAMELSSPATH_START.@LSS_extracted@LSS-main@py@LSS@DESI_ke@runtime.py@.PATH_END.py |
{
"filename": "tracer_relativistic_effects.ipynb",
"repo_name": "MikeSWang/HorizonGRound",
"repo_path": "HorizonGRound_extracted/HorizonGRound-master/application/publication/tracer_relativistic_effects.ipynb",
"type": "Jupyter Notebook"
} | # Relativistic Effects in Tracer Clustering
We consider relativistic corrections to the power spectrum multipoles as constrained by luminosity function results, and compare it to other effects such as redshift-space distortions (RSD) and scale-dependent linear bias from local primordial non-Gaussianity $f_\mathrm{NL}$... | MikeSWangREPO_NAMEHorizonGRoundPATH_START.@HorizonGRound_extracted@HorizonGRound-master@application@publication@tracer_relativistic_effects.ipynb@.PATH_END.py |
{
"filename": "formatter_locator.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/astropy/visualization/wcsaxes/formatter_locator.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import print_function, division, absolute_import
# This file defines the AngleFormatterLocator class which is a class that
# provides both a method for a formatter and one for a locator, for a given
# label spacing. The advantage of keepi... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@astropy@visualization@wcsaxes@formatter_locator.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "xraypy/xraylarch",
"repo_path": "xraylarch_extracted/xraylarch-master/larch/xafs/__init__.py",
"type": "Python"
} | __DOC__ = '''
XAFS Functions for Larch, essentially Ifeffit 2
The functions here include (but are not limited to):
function description
------------ ------------------------------
pre_edge pre_edge subtraction, normalization
autobk XAFS background subtraction (mu(E) to chi(k))
xftf ... | xraypyREPO_NAMExraylarchPATH_START.@xraylarch_extracted@xraylarch-master@larch@xafs@__init__.py@.PATH_END.py |
{
"filename": "_subplots.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/matplotlib/axes/_subplots.py",
"type": "Python"
} | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
from six.moves import map
from matplotlib.gridspec import GridSpec, SubplotSpec
from matplotlib import docstring
import matplotlib.artist as martist
from matplotlib.axes._axes import Axes
import wa... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@matplotlib@axes@_subplots.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "lenstronomy/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/test/test_Util/__init__.py",
"type": "Python"
} | lenstronomyREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@test@test_Util@__init__.py@.PATH_END.py | |
{
"filename": "account.py",
"repo_name": "jabesq-org/pyatmo",
"repo_path": "pyatmo_extracted/pyatmo-master/src/pyatmo/account.py",
"type": "Python"
} | """Support for a Netatmo account."""
from __future__ import annotations
import logging
from typing import TYPE_CHECKING, Any
from uuid import uuid4
from pyatmo import modules
from pyatmo.const import (
GETEVENTS_ENDPOINT,
GETHOMECOACHDATA_ENDPOINT,
GETHOMESDATA_ENDPOINT,
GETHOMESTATUS_ENDPOINT,
G... | jabesq-orgREPO_NAMEpyatmoPATH_START.@pyatmo_extracted@pyatmo-master@src@pyatmo@account.py@.PATH_END.py |
{
"filename": "eventsManager.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/recipe_system/adcc/servers/eventsManager.py",
"type": "Python"
} | #
# QAP Gemini
#
# eventsManager.py
# ------------------------------------------------------------------------------
import json
import time
import re
from astrodata import AstroData
# ---... | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@recipe_system@adcc@servers@eventsManager.py@.PATH_END.py |
{
"filename": "_uirevision.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/mesh3d/_uirevision.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="uirevision", parent_name="mesh3d", **kwargs):
super(UirevisionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@mesh3d@_uirevision.py@.PATH_END.py |
{
"filename": "common.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/apply/common.py",
"type": "Python"
} | from pandas.core.groupby.base import transformation_kernels
# There is no Series.cumcount or DataFrame.cumcount
series_transform_kernels = [
x for x in sorted(transformation_kernels) if x != "cumcount"
]
frame_transform_kernels = [x for x in sorted(transformation_kernels) if x != "cumcount"]
| pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@apply@common.py@.PATH_END.py |
{
"filename": "_omnibus.py",
"repo_name": "maximtrp/scikit-posthocs",
"repo_path": "scikit-posthocs_extracted/scikit-posthocs-master/scikit_posthocs/_omnibus.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
from typing import Optional, Union, List, cast
import itertools as it
import numpy as np
from numpy.typing import ArrayLike
import scipy.stats as ss
from pandas import DataFrame, Categorical, Series
from scikit_posthocs._posthocs import __convert_to_df, __convert_to_block_df
def test_mackwolf... | maximtrpREPO_NAMEscikit-posthocsPATH_START.@scikit-posthocs_extracted@scikit-posthocs-master@scikit_posthocs@_omnibus.py@.PATH_END.py |
{
"filename": "_ybingroup.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/histogram2d/_ybingroup.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class YbingroupValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="ybingroup", parent_name="histogram2d", **kwargs):
super(YbingroupValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@histogram2d@_ybingroup.py@.PATH_END.py |
{
"filename": "plot_fig7.py",
"repo_name": "masoncarney/stepped_luneburg",
"repo_path": "stepped_luneburg_extracted/stepped_luneburg-master/paper/fig7/plot_fig7.py",
"type": "Python"
} | import os, sys
import numpy as np
import pylab as pl
from matplotlib.ticker import MultipleLocator
'''
Script to plot enclosed intensity vs. theta exponent for multiple Luneburg lens runs.
Theta corresponds to the angle away from the initial wavefront focal point.
'''
#################################################... | masoncarneyREPO_NAMEstepped_luneburgPATH_START.@stepped_luneburg_extracted@stepped_luneburg-master@paper@fig7@plot_fig7.py@.PATH_END.py |
{
"filename": "core.py",
"repo_name": "gammapy/gammapy",
"repo_path": "gammapy_extracted/gammapy-main/gammapy/makers/core.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import abc
import html
import numpy as np
__all__ = ["Maker"]
class Maker(abc.ABC):
"""Abstract maker base class."""
@property
@abc.abstractmethod
def tag(self):
pass
@abc.abstractmethod
def run(self):
pass
... | gammapyREPO_NAMEgammapyPATH_START.@gammapy_extracted@gammapy-main@gammapy@makers@core.py@.PATH_END.py |
{
"filename": "fred.py",
"repo_name": "dentalfloss1/RaTS",
"repo_path": "RaTS_extracted/RaTS-master/RaTS/fred.py",
"type": "Python"
} | import numpy as np
class fred:
"""fred lightcurve class"""
def __init__(self):
self.edges=[1,0] # 1 is a definite edge, tophat is the default and has a definite beginning and end. Therefore it is [1,1]
def earliest_crit_time(self, start_survey, tau):
return start_survey - tau
... | dentalfloss1REPO_NAMERaTSPATH_START.@RaTS_extracted@RaTS-master@RaTS@fred.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/client/__init__.py",
"type": "Python"
} | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@client@__init__.py@.PATH_END.py | |
{
"filename": "b1.py",
"repo_name": "nickhand/pyRSD",
"repo_path": "pyRSD_extracted/pyRSD-master/pyRSD/rsd/power/qso/derivatives/b1.py",
"type": "Python"
} | from . import PqsoDerivative
from pyRSD.rsd.tools import k_AP, mu_AP
class dPqso_db1(PqsoDerivative):
"""
The partial derivative of :func:`QuasarSpectrum.power` with respect to
``b1``
"""
param = 'b1'
@staticmethod
def eval(m, pars, k, mu):
kprime = k_AP(k, mu, m.alpha_perp, m.al... | nickhandREPO_NAMEpyRSDPATH_START.@pyRSD_extracted@pyRSD-master@pyRSD@rsd@power@qso@derivatives@b1.py@.PATH_END.py |
{
"filename": "test_aggregator_tracer.py",
"repo_name": "Jammy2211/PyAutoLens",
"repo_path": "PyAutoLens_extracted/PyAutoLens-main/test_autolens/aggregator/test_aggregator_tracer.py",
"type": "Python"
} | import autolens as al
from test_autolens.aggregator.conftest import clean, aggregator_from
database_file = "db_tracer"
def test__tracer_randomly_drawn_via_pdf_gen_from(
masked_imaging_7x7,
samples,
model,
):
analysis = al.AnalysisImaging(dataset=masked_imaging_7x7)
agg = aggregator_from(
... | Jammy2211REPO_NAMEPyAutoLensPATH_START.@PyAutoLens_extracted@PyAutoLens-main@test_autolens@aggregator@test_aggregator_tracer.py@.PATH_END.py |
{
"filename": "spacy_embeddings.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/embeddings/spacy_embeddings.py",
"type": "Python"
} | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.embeddings import SpacyEmbeddings
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
DEP... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@embeddings@spacy_embeddings.py@.PATH_END.py |
{
"filename": "_transpose.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/heatmap/_transpose.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TransposeValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="transpose", parent_name="heatmap", **kwargs):
super(TransposeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@heatmap@_transpose.py@.PATH_END.py |
{
"filename": "prepare_from_db.py",
"repo_name": "minzastro/unidam",
"repo_path": "unidam_extracted/unidam-master/unidam/tools/prepare_from_db.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 17 13:31:04 2018
@author: mints
"""
from sqlconnection import SQLConnection
conn = SQLConnection('convert', database='sage_gap')
for row in conn.exec_dict('select * from catalogs', return_all=True):
#keep = []
#for key in ['id', 'ra', 'd... | minzastroREPO_NAMEunidamPATH_START.@unidam_extracted@unidam-master@unidam@tools@prepare_from_db.py@.PATH_END.py |
{
"filename": "PathOption.py",
"repo_name": "rat-pac/rat-pac",
"repo_path": "rat-pac_extracted/rat-pac-master/python/SCons/Options/PathOption.py",
"type": "Python"
} | #
# Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009 The SCons Foundation
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitati... | rat-pacREPO_NAMErat-pacPATH_START.@rat-pac_extracted@rat-pac-master@python@SCons@Options@PathOption.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "mhammond/pywin32",
"repo_path": "pywin32_extracted/pywin32-main/adodbapi/__init__.py",
"type": "Python"
} | # nopycln: file # undecidable cases due to explicit re-exports https://github.com/hadialqattan/pycln/issues/205
"""adodbapi - A python DB API 2.0 (PEP 249) interface to Microsoft ADO
Copyright (C) 2002 Henrik Ekelund, version 2.1 by Vernon Cole
* http://sourceforge.net/projects/adodbapi
"""
import time
# Re-exports ... | mhammondREPO_NAMEpywin32PATH_START.@pywin32_extracted@pywin32-main@adodbapi@__init__.py@.PATH_END.py |
{
"filename": "testPolygon.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/tests/unit/Geometry/testPolygon.py",
"type": "Python"
} | #ATS:test(SELF, label="Polygon unit tests")
# Unit tests for the Polygon class
import unittest
import functools
from math import *
from SpheralTestUtilities import fuzzyEqual
from Spheral2d import *
# Create a global random number generator.
import random
random.seed(402)
rangen = random.Random()
plots = []
#=====... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@tests@unit@Geometry@testPolygon.py@.PATH_END.py |
{
"filename": "demo_data_time_evo.py",
"repo_name": "eelregit/pmwd",
"repo_path": "pmwd_extracted/pmwd-master/docs/papers/adjoint/demo_data_time_evo.py",
"type": "Python"
} | import numpy as np
import jax.numpy as jnp
from tqdm.notebook import tqdm
import h5py
import jax
from pmwd import (
Configuration,
SimpleLCDM,
boltzmann,
white_noise, linear_modes,
lpt,
nbody,
scatter,
)
from pmwd.nbody import nbody_init, nbody_step
ptcl_spacing = 10.
ptcl_grid_shape = (... | eelregitREPO_NAMEpmwdPATH_START.@pmwd_extracted@pmwd-master@docs@papers@adjoint@demo_data_time_evo.py@.PATH_END.py |
{
"filename": "_ticks.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/xaxis/minor/_ticks.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TicksValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="ticks", parent_name="layout.xaxis.minor", **kwargs):
super(TicksValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@xaxis@minor@_ticks.py@.PATH_END.py |
{
"filename": "imessage.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/chat_loaders/imessage.py",
"type": "Python"
} | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.chat_loaders.imessage import IMessageChatLoader
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optiona... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@chat_loaders@imessage.py@.PATH_END.py |
{
"filename": "test_sampler.py",
"repo_name": "minaskar/pocomc",
"repo_path": "pocomc_extracted/pocomc-main/tests/test_sampler.py",
"type": "Python"
} | import unittest
import numpy as np
from scipy.stats import norm
from pocomc.sampler import Sampler
from pocomc.prior import Prior
class SamplerTestCase(unittest.TestCase):
@staticmethod
def log_likelihood_single(x):
return np.sum(-0.5 * np.log(2 * np.pi) - 0.5 * x ** 2)
@staticmethod
def log... | minaskarREPO_NAMEpocomcPATH_START.@pocomc_extracted@pocomc-main@tests@test_sampler.py@.PATH_END.py |
{
"filename": "target.py",
"repo_name": "ashleychontos/pySYD",
"repo_path": "pySYD_extracted/pySYD-master/dev/target.py",
"type": "Python"
} | import os
import glob
import numpy as np
import pandas as pd
from astropy.stats import mad_std
from scipy.optimize import curve_fit
from astropy.timeseries import LombScargle as lomb
from scipy.interpolate import InterpolatedUnivariateSpline
from astropy.convolution import Box1DKernel, Gaussian1DKernel, convolve, convo... | ashleychontosREPO_NAMEpySYDPATH_START.@pySYD_extracted@pySYD-master@dev@target.py@.PATH_END.py |
{
"filename": "mutual_node.py",
"repo_name": "rodluger/planetplanet",
"repo_path": "planetplanet_extracted/planetplanet-master/scripts/mutual_node.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
mutual_node.py |github|
-----------------------
For random draws from the prior, computes the duration of a
mutual transit between TRAPPIST-1 b and c as a function of the
difference in their longitude of ascending nodes. With some
scatter, the difference in this angle ... | rodlugerREPO_NAMEplanetplanetPATH_START.@planetplanet_extracted@planetplanet-master@scripts@mutual_node.py@.PATH_END.py |
{
"filename": "event_list.py",
"repo_name": "wilkinsdr/pylag",
"repo_path": "pylag_extracted/pylag-master/pylag/event_list.py",
"type": "Python"
} | """
pylag.event_list
Class for handling FITS event lists
v1.0 - 09/04/2018 - D.R. Wilkins
"""
from .simulator import *
from .lightcurve import *
from .lag_frequency_spectrum import *
from .lag_energy_spectrum import *
import numpy as np
try:
import astropy.io.fits as pyfits
except:
import pyfits
from scipy... | wilkinsdrREPO_NAMEpylagPATH_START.@pylag_extracted@pylag-master@pylag@event_list.py@.PATH_END.py |
{
"filename": "mlp_ood.py",
"repo_name": "devinamhn/RadioGalaxies-BNNs",
"repo_path": "RadioGalaxies-BNNs_extracted/RadioGalaxies-BNNs-main/radiogalaxies_bnns/eval/ood/mlp_ood.py",
"type": "Python"
} | import torch
import torch.optim as optim
import numpy as np
import torch.nn.functional as F
import matplotlib.pyplot as plt
import csv
import scipy
import pandas as pd
import seaborn as sns
from radiogalaxies_bnns.inference.models import LeNet, LeNetDrop
import radiogalaxies_bnns.inference.utils as utils
from radiogal... | devinamhnREPO_NAMERadioGalaxies-BNNsPATH_START.@RadioGalaxies-BNNs_extracted@RadioGalaxies-BNNs-main@radiogalaxies_bnns@eval@ood@mlp_ood.py@.PATH_END.py |
{
"filename": "fs_tools.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/build/scripts/fs_tools.py",
"type": "Python"
} | from __future__ import print_function
import os
import platform
import sys
import shutil
import errno
# Explicitly enable local imports
# Don't forget to add imported scripts to inputs of the calling command!
sys.path.append(os.path.dirname(os.path.abspath(__file__)))
import process_command_files as pcf
def link_or... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@build@scripts@fs_tools.py@.PATH_END.py |
{
"filename": "_textfont.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/scattergl/_textfont.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Textfont(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "scattergl"
_path_str = "scattergl.textfont"
_valid_props = {"color", "colorsrc", "family",... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@scattergl@_textfont.py@.PATH_END.py |
{
"filename": "plot_iris_exercise.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/examples/exercises/plot_iris_exercise.py",
"type": "Python"
} | """
================================
SVM Exercise
================================
A tutorial exercise for using different SVM kernels.
This exercise is used in the :ref:`using_kernels_tut` part of the
:ref:`supervised_learning_tut` section of the :ref:`stat_learn_tut_index`.
"""
# Authors: The scikit-learn develop... | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@examples@exercises@plot_iris_exercise.py@.PATH_END.py |
{
"filename": "DiaSources.py",
"repo_name": "lsst-uk/lasair-lsst",
"repo_path": "lasair-lsst_extracted/lasair-lsst-main/utility/DP03/lasair_schema/DiaSources.py",
"type": "Python"
} | schema = {
"name": "DiaSources",
"fields": [
{
"name": "diaSourceId",
"type": "long",
"doc": "Unique id."
},
{
"name": "ccdVisitId",
"type": "long",
"doc": "Id of the ccdVisit where this diaSource was measured. Note that we are allowing a diaSource to belong to multip... | lsst-ukREPO_NAMElasair-lsstPATH_START.@lasair-lsst_extracted@lasair-lsst-main@utility@DP03@lasair_schema@DiaSources.py@.PATH_END.py |
{
"filename": "decomposer_base.py",
"repo_name": "PAHdb/pyPAHdb",
"repo_path": "pyPAHdb_extracted/pyPAHdb-master/pypahdb/decomposer_base.py",
"type": "Python"
} | #!/usr/bin/env python3
"""
decomposer_base.py
Using a precomputed matrix of theoretically calculated
PAH emission spectra, an input spectrum is fitted and decomposed into
contributing PAH subclasses using a non-negative least-squares (NNLS)
approach.
This file is part of pypahdb - see the module docs for more
informa... | PAHdbREPO_NAMEpyPAHdbPATH_START.@pyPAHdb_extracted@pyPAHdb-master@pypahdb@decomposer_base.py@.PATH_END.py |
{
"filename": "layer.py",
"repo_name": "huggingface/peft",
"repo_path": "peft_extracted/peft-main/src/peft/tuners/xlora/layer.py",
"type": "Python"
} | # Copyright 2024-present the HuggingFace Inc. team.
#
# 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... | huggingfaceREPO_NAMEpeftPATH_START.@peft_extracted@peft-main@src@peft@tuners@xlora@layer.py@.PATH_END.py |
{
"filename": "index.md",
"repo_name": "nichollsh/AGNI",
"repo_path": "AGNI_extracted/AGNI-main/docs/src/examples/index.md",
"type": "Markdown"
} | # Example outputs
## Pure steam runaway greenhouse effect
By assuming the atmosphere temperature profile follows a dry adiabat and the water vapour-condensate coexistance curve defined by the Clausius-Claperyron relation, we see a characteristic relationship between the outgoing longwave radiation (OLR) and the surfac... | nichollshREPO_NAMEAGNIPATH_START.@AGNI_extracted@AGNI-main@docs@src@examples@index.md@.PATH_END.py |
{
"filename": "_autobinx.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/histogram2d/_autobinx.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class AutobinxValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="autobinx", parent_name="histogram2d", **kwargs):
super(AutobinxValidator, 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@histogram2d@_autobinx.py@.PATH_END.py |
{
"filename": "test_imports.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/partners/openai/tests/unit_tests/embeddings/test_imports.py",
"type": "Python"
} | from langchain_openai.embeddings import __all__
EXPECTED_ALL = ["OpenAIEmbeddings", "AzureOpenAIEmbeddings"]
def test_all_imports() -> None:
assert sorted(EXPECTED_ALL) == sorted(__all__)
| langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@partners@openai@tests@unit_tests@embeddings@test_imports.py@.PATH_END.py |
{
"filename": "make_WebSky_LRG_mocks.py",
"repo_name": "NoahSailer/MaPar",
"repo_path": "MaPar_extracted/MaPar-main/mocks/websky/make_WebSky_LRG_mocks.py",
"type": "Python"
} | # Code to create mock LRG maps.
# Must run fetch_WebSky_products.sh and make_WebSky_LRG_subcatalogs.py first.
from scipy.special import erfc
import numpy as np
import healpy as hp
import copy
from scipy.interpolate import interp1d
def make_map(catalog,dN_dz,nside=2048,lnM_min=20,lnM_max=80,mask=None,f=1,Mc=10**12.89)... | NoahSailerREPO_NAMEMaParPATH_START.@MaPar_extracted@MaPar-main@mocks@websky@make_WebSky_LRG_mocks.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/volume/slices/y/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._show import ShowValidator
from ._locationssrc import LocationssrcValidator
from ._locations import LocationsValidator
from ._fill import FillValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relat... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@volume@slices@y@__init__.py@.PATH_END.py |
{
"filename": "download.py",
"repo_name": "cta-observatory/ctapipe",
"repo_path": "ctapipe_extracted/ctapipe-main/src/ctapipe/utils/download.py",
"type": "Python"
} | import logging
import os
from pathlib import Path
from urllib.parse import urlparse
import requests
from tqdm.auto import tqdm
from .filelock import FileLock
__all__ = ["download_file", "download_cached", "download_file_cached"]
log = logging.getLogger(__name__)
def download_file(url, path, auth=None, chunk_size=... | cta-observatoryREPO_NAMEctapipePATH_START.@ctapipe_extracted@ctapipe-main@src@ctapipe@utils@download.py@.PATH_END.py |
{
"filename": "_tickfont.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/layout/coloraxis/colorbar/_tickfont.py",
"type": "Python"
} | from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
import copy as _copy
class Tickfont(_BaseLayoutHierarchyType):
# class properties
# --------------------
_parent_path_str = "layout.coloraxis.colorbar"
_path_str = "layout.coloraxis.colorbar.tickfont"
_valid_prop... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@layout@coloraxis@colorbar@_tickfont.py@.PATH_END.py |
{
"filename": "test_automations.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/tests/events/client/cli/test_automations.py",
"type": "Python"
} | import sys
from datetime import timedelta
from typing import Generator, List
from unittest import mock
from uuid import UUID, uuid4
import orjson
import pytest
import yaml
from typer import Exit
from prefect.events.actions import CancelFlowRun, DoNothing, PauseAutomation
from prefect.events.schemas.automations import... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@tests@events@client@cli@test_automations.py@.PATH_END.py |
{
"filename": "_r.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/slider/pad/_r.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class RValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="r", parent_name="layout.slider.pad", **kwargs):
super(RValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_t... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@slider@pad@_r.py@.PATH_END.py |
{
"filename": "test_scheduling.py",
"repo_name": "astropy/astroplan",
"repo_path": "astroplan_extracted/astroplan-main/astroplan/tests/test_scheduling.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import numpy as np
from astropy.time import Time
import astropy.units as u
from astropy.coordinates import SkyCoord, EarthLocation
import pytest
from ..utils import time_grid_from_range
from ..observer import Observer
from ..target import FixedTarget, ge... | astropyREPO_NAMEastroplanPATH_START.@astroplan_extracted@astroplan-main@astroplan@tests@test_scheduling.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "minoshim/qasMHD",
"repo_path": "qasMHD_extracted/qasMHD-main/1D/SERIAL/wave/README.md",
"type": "Markdown"
} | ## Wave Propagation Problem
This problem demonstrates the propagation of MHD waves in homogeneous plasma to confirm that the code successfully satisfies the linear dispersion.<br>
Random white noise is added to the magnetic field and pressure, and their perturabations propagate as the Alfven and magnetosonic waves.
Ex... | minoshimREPO_NAMEqasMHDPATH_START.@qasMHD_extracted@qasMHD-main@1D@SERIAL@wave@README.md@.PATH_END.py |
{
"filename": "_templateitemname.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/shape/_templateitemname.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="templateitemname", parent_name="layout.shape", **kwargs
):
super(TemplateitemnameValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@shape@_templateitemname.py@.PATH_END.py |
{
"filename": "data_inspect_2458203.ipynb",
"repo_name": "HERA-Team/H1C_IDR3_Notebooks",
"repo_path": "H1C_IDR3_Notebooks-main/data_inspect/data_inspect_2458203.ipynb",
"type": "Jupyter Notebook"
} | ```python
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.ticker import FormatStrFormatter
import matplotlib.patches as mpatches
import matplotlib.gridspec as gridspec
import numpy as np
from pyuvdata import UVCal, UVData
import os
import sys
import glob
import uvtools as uvt
from astropy.time import ... | HERA-TeamREPO_NAMEH1C_IDR3_NotebooksPATH_START.@H1C_IDR3_Notebooks-main@data_inspect@data_inspect_2458203.ipynb@.PATH_END.py |
{
"filename": "_isomin.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/isosurface/_isomin.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class IsominValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="isomin", parent_name="isosurface", **kwargs):
super(IsominValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@isosurface@_isomin.py@.PATH_END.py |
{
"filename": "PeriodicityDetector_quickstart.ipynb",
"repo_name": "SPARTA-dev/SPARTA",
"repo_path": "SPARTA_extracted/SPARTA-master/examples/PeriodicityDetector_quickstart.ipynb",
"type": "Jupyter Notebook"
} | # Periodicity detector class tutorial
-----------------------------------
### 1 Using the PeriodicityDetector class to run PDC on simulated velocity times series
`Observations` class enables one to load observation data from a given folder
and place it into a TimeSeries object, or to load an existing time series.
I... | SPARTA-devREPO_NAMESPARTAPATH_START.@SPARTA_extracted@SPARTA-master@examples@PeriodicityDetector_quickstart.ipynb@.PATH_END.py |
{
"filename": "testing.py",
"repo_name": "ytree-project/ytree",
"repo_path": "ytree_extracted/ytree-main/ytree/utilities/testing.py",
"type": "Python"
} | """
testing utilities
"""
#-----------------------------------------------------------------------------
# Copyright (c) ytree development team. All rights reserved.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
#-------... | ytree-projectREPO_NAMEytreePATH_START.@ytree_extracted@ytree-main@ytree@utilities@testing.py@.PATH_END.py |
{
"filename": "test_util.py",
"repo_name": "jax-ml/jax",
"repo_path": "jax_extracted/jax-main/jax/_src/test_util.py",
"type": "Python"
} | # Copyright 2018 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@test_util.py@.PATH_END.py |
{
"filename": "mlflow.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/chat_models/mlflow.py",
"type": "Python"
} | import json
import logging
from typing import (
Any,
Callable,
Dict,
Iterator,
List,
Literal,
Mapping,
Optional,
Sequence,
Type,
Union,
cast,
)
from urllib.parse import urlparse
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_mo... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@chat_models@mlflow.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "macrocosme/shwirl",
"repo_path": "shwirl_extracted/shwirl-master/shwirl/extern/vispy/visuals/collections/__init__.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright (c) 2015, Vispy Development Team.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
# -----------------------------------------------------------------------------
"""
Collections ... | macrocosmeREPO_NAMEshwirlPATH_START.@shwirl_extracted@shwirl-master@shwirl@extern@vispy@visuals@collections@__init__.py@.PATH_END.py |
{
"filename": "credentials.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/src/integrations/prefect-docker/prefect_docker/credentials.py",
"type": "Python"
} | """Module containing docker credentials."""
import docker
from pydantic import Field, SecretStr
from prefect.blocks.core import Block
from prefect.logging import get_run_logger
from prefect.utilities.asyncutils import run_sync_in_worker_thread
class DockerRegistryCredentials(Block):
"""
Block used to manage... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@src@integrations@prefect-docker@prefect_docker@credentials.py@.PATH_END.py |
{
"filename": "bin_convert.py",
"repo_name": "IAS-Astrophysics/athenak",
"repo_path": "athenak_extracted/athenak-main/vis/python/bin_convert.py",
"type": "Python"
} | """
Functions to:
(1) convert bin --> Python dictionary
(2) convert Python dictionary --> athdf(xdmf) files
This module contains a collection of helper functions for reading and
writing athena file data formats. More information is provided in the
function docstrings.
----
In order to translate a binary file int... | IAS-AstrophysicsREPO_NAMEathenakPATH_START.@athenak_extracted@athenak-main@vis@python@bin_convert.py@.PATH_END.py |
{
"filename": "workQueue_knl_config.py",
"repo_name": "LSSTDESC/gen3_workflow",
"repo_path": "gen3_workflow_extracted/gen3_workflow-master/python/desc/gen3_workflow/config/workQueue_knl_config.py",
"type": "Python"
} | """Parsl config for WorkQueueExecutor using a SlurmProvider"""
import parsl
from parsl.executors import WorkQueueExecutor, ThreadPoolExecutor
from parsl.providers import SlurmProvider
from parsl.launchers import SrunLauncher
PROVIDER_OPTIONS = dict(nodes_per_block=2,
exclusive=True,
... | LSSTDESCREPO_NAMEgen3_workflowPATH_START.@gen3_workflow_extracted@gen3_workflow-master@python@desc@gen3_workflow@config@workQueue_knl_config.py@.PATH_END.py |
{
"filename": "roperator.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/core/roperator.py",
"type": "Python"
} | """
Reversed Operations not available in the stdlib operator module.
Defining these instead of using lambdas allows us to reference them by name.
"""
from __future__ import annotations
import operator
def radd(left, right):
return right + left
def rsub(left, right):
return right - left
def rmul(left, ri... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@core@roperator.py@.PATH_END.py |
{
"filename": "detection.py",
"repo_name": "vortex-exoplanet/VIP",
"repo_path": "VIP_extracted/VIP-master/vip_hci/metrics/detection.py",
"type": "Python"
} | #! /usr/bin/env python
"""
Module with detection algorithms.
"""
__author__ = 'Carlos Alberto Gomez Gonzalez, Valentin Christiaens'
__all__ = ['detection',
'mask_source_centers',
'mask_sources',
'peak_coordinates']
import numpy as np
import pandas as pn
from hciplot import plot_frames... | vortex-exoplanetREPO_NAMEVIPPATH_START.@VIP_extracted@VIP-master@vip_hci@metrics@detection.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "pmelchior/skymapper",
"repo_path": "skymapper_extracted/skymapper-main/skymapper/survey/__init__.py",
"type": "Python"
} | import os, numpy as np
from .. import register_survey, with_metaclass, with_metaclass
class BaseSurvey(object):
def contains(self, ra, dec):
"""Whether ra, dec are inside the survey footprint"""
if not hasattr(ra, '__iter__'):
ra = (ra,)
return np.zeros(len(ra), dtype='bool')
#... | pmelchiorREPO_NAMEskymapperPATH_START.@skymapper_extracted@skymapper-main@skymapper@survey@__init__.py@.PATH_END.py |
{
"filename": "test_regression.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/scipy/optimize/tests/test_regression.py",
"type": "Python"
} | """Regression tests for optimize.
"""
from __future__ import division, print_function, absolute_import
import numpy as np
from numpy.testing import assert_almost_equal
from pytest import raises as assert_raises
import scipy.optimize
class TestRegression(object):
def test_newton_x0_is_0(self):
# Regres... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@scipy@optimize@tests@test_regression.py@.PATH_END.py |
{
"filename": "sfr_forensics.py",
"repo_name": "ICRAR/shark",
"repo_path": "shark_extracted/shark-master/standard_plots/sfr_forensics.py",
"type": "Python"
} | #
# ICRAR - International Centre for Radio Astronomy Research
# (c) UWA - The University of Western Australia, 2018
# Copyright by UWA (in the framework of the ICRAR)
#
# 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 Fre... | ICRARREPO_NAMEsharkPATH_START.@shark_extracted@shark-master@standard_plots@sfr_forensics.py@.PATH_END.py |
{
"filename": "Line_analysis.py",
"repo_name": "madamow/pyEW",
"repo_path": "pyEW_extracted/pyEW-master/pyew/lib/Line_analysis.py",
"type": "Python"
} | import numpy as np
from Gauss_Voigt import *
from IO_functions import *
def pm_width(x, x01, s1, w_factor): # s1 is fwhm
iu = np.abs(x - x01 - w_factor * np.abs(s1)).argmin()
il = np.abs(x - x01 + w_factor * np.abs(s1)).argmin()
if iu == il or np.abs(iu - il) < 3.:
il = 0
iu = len(x)
... | madamowREPO_NAMEpyEWPATH_START.@pyEW_extracted@pyEW-master@pyew@lib@Line_analysis.py@.PATH_END.py |
{
"filename": "base_slicer.py",
"repo_name": "lsst/rubin_sim",
"repo_path": "rubin_sim_extracted/rubin_sim-main/rubin_sim/maf/slicers/base_slicer.py",
"type": "Python"
} | # Base class for all 'Slicer' objects.
#
__all__ = ("SlicerRegistry", "BaseSlicer")
import inspect
import json
import warnings
from io import StringIO
import numpy as np
import numpy.ma as ma
from rubin_sim.maf.utils import get_date_version
class SlicerRegistry(type):
"""
Meta class for slicers, to build a... | lsstREPO_NAMErubin_simPATH_START.@rubin_sim_extracted@rubin_sim-main@rubin_sim@maf@slicers@base_slicer.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "PyEllips/pyElli",
"repo_path": "pyElli_extracted/pyElli-master/src/elli/importer/__init__.py",
"type": "Python"
} | import chardet
def detect_encoding(fname: str) -> str:
r"""Detects the encoding of file fname.
Args:
fname (str): Filename
Returns:
str: Encoding identifier string.
"""
with open(fname, "rb") as f:
raw_data = f.read()
result = chardet.detect(raw_data)
return result["enc... | PyEllipsREPO_NAMEpyElliPATH_START.@pyElli_extracted@pyElli-master@src@elli@importer@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "yqiuu/spectuner",
"repo_path": "spectuner_extracted/spectuner-master/spectuner/identify/__init__.py",
"type": "Python"
} | from .identify import *
from .ident_result import *
from .peaks import * | yqiuuREPO_NAMEspectunerPATH_START.@spectuner_extracted@spectuner-master@spectuner@identify@__init__.py@.PATH_END.py |
{
"filename": "buildtiles.py",
"repo_name": "rainwoodman/gaepsi2",
"repo_path": "gaepsi2_extracted/gaepsi2-master/utils/buildtiles.py",
"type": "Python"
} | import bigfile
import numpy
from matplotlib.figure import Figure
from itertools import product
from tiles import tilename
f = bigfile.BigFile('image')
f1 = bigfile.BigFile('image2')
w = f.open('W')
v = f.open('V')
h = f.open('header')
tp = h.attrs['TilePadding']
size = h.attrs['ImageSize']
h.attrs['Level'] = 0
ntile ... | rainwoodmanREPO_NAMEgaepsi2PATH_START.@gaepsi2_extracted@gaepsi2-master@utils@buildtiles.py@.PATH_END.py |
{
"filename": "reset_stage_metadata.py",
"repo_name": "pyDANDIA/pyDANDIA",
"repo_path": "pyDANDIA_extracted/pyDANDIA-main/pyDANDIA/reset_stage_metadata.py",
"type": "Python"
} | import os
import sys
from pyDANDIA import metadata
def reset_red_status_for_stage(red_dir,stage_number):
"""Function to reset the reduction status table entries for a given stage.
Note that the status for all images will be set to zero (process) except
for entries that were flagged as -1 (do not process) b... | pyDANDIAREPO_NAMEpyDANDIAPATH_START.@pyDANDIA_extracted@pyDANDIA-main@pyDANDIA@reset_stage_metadata.py@.PATH_END.py |
{
"filename": "test_ultradeep.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/geminidr/niri/recipes/sq/tests/test_ultradeep.py",
"type": "Python"
} | import pytest
import os
from astrodata.testing import download_from_archive
from recipe_system.reduction.coreReduce import Reduce
niri_deep_dataset = [f"N20210512S{i:04d}.fits" for i in range(17, 35)]
niri_dark = "N20210512S0246_dark.fits"
@pytest.mark.slow
def test_ultradeep_recipe_niri(change_working_dir, path_t... | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@geminidr@niri@recipes@sq@tests@test_ultradeep.py@.PATH_END.py |
{
"filename": "test_connect.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/io/fits/tests/test_connect.py",
"type": "Python"
} | import gc
import warnings
import numpy as np
import pytest
from numpy.testing import assert_allclose, assert_array_equal
from astropy import units as u
from astropy.io import fits
from astropy.io.fits import (
BinTableHDU,
HDUList,
ImageHDU,
PrimaryHDU,
connect,
table_to_hdu,
)
from astropy.io... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@io@fits@tests@test_connect.py@.PATH_END.py |
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