metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "test_analysis_blobs.py",
"repo_name": "mirochaj/ares",
"repo_path": "ares_extracted/ares-main/tests/test_analysis_blobs.py",
"type": "Python"
} | """
test_analysis_blobs.py
Author: Jordan Mirocha
Affiliation: UCLA
Created on: Thu May 26 11:28:43 PDT 2016
Description:
"""
import os
import ares
import numpy as np
from ares.util.Pickling import write_pickle_file
def test(Ns=500, Nd=4, prefix='test'):
# Step 1. Make some fake data.
# Start with a 2-D... | mirochajREPO_NAMEaresPATH_START.@ares_extracted@ares-main@tests@test_analysis_blobs.py@.PATH_END.py |
{
"filename": "gammainc_asy.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/scipy/special/_precompute/gammainc_asy.py",
"type": "Python"
} | """
Precompute coefficients of Temme's asymptotic expansion for gammainc.
This takes about 8 hours to run on a 2.3 GHz Macbook Pro with 4GB ram.
Sources:
[1] NIST, "Digital Library of Mathematical Functions",
http://dlmf.nist.gov/
"""
from __future__ import division, print_function, absolute_import
import os
fr... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@scipy@special@_precompute@gammainc_asy.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "spedas/pyspedas",
"repo_path": "pyspedas_extracted/pyspedas-master/pyspedas/projects/st5/README.md",
"type": "Markdown"
} |
## Space Technology 5 (ST5)
The routines in this module can be used to load data from the Space Technology 5 (ST5) mission.
### Instruments
- Magnetometer (MAG)
### Examples
Get started by importing pyspedas and tplot; these are required to load and plot the data:
```python
import pyspedas
from pytplot import tplo... | spedasREPO_NAMEpyspedasPATH_START.@pyspedas_extracted@pyspedas-master@pyspedas@projects@st5@README.md@.PATH_END.py |
{
"filename": "bias_vs_corrected_panel.py",
"repo_name": "LSSTDESC/chroma",
"repo_path": "chroma_extracted/chroma-master/bin/analytic/catalog/bias_vs_corrected_panel.py",
"type": "Python"
} | """Make a panel figure for the paper of chromatic biases (RbarSqr, V, S_m02) vs their residuals
after ETR correction.
"""
import cPickle
from argparse import ArgumentParser
import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from matplotlib... | LSSTDESCREPO_NAMEchromaPATH_START.@chroma_extracted@chroma-master@bin@analytic@catalog@bias_vs_corrected_panel.py@.PATH_END.py |
{
"filename": "Tutorial.ipynb",
"repo_name": "cbottrell/realsim_ifs",
"repo_path": "realsim_ifs_extracted/realsim_ifs-master/Tutorials/IFS/Tutorial.ipynb",
"type": "Jupyter Notebook"
} | # RealSim-IFS Tutorial: Generating synthetic MaNGA data
Welcome to the RealSim-IFS tutorial. In this tutorial, we will generate some MaNGA-like synthetic kinematic data using a line-of-sight (LOS) velocity cube for a disk galaxy from the TNG50-1 simulation. The main requirements of RealSim-IFS are the `astropy`, `nump... | cbottrellREPO_NAMErealsim_ifsPATH_START.@realsim_ifs_extracted@realsim_ifs-master@Tutorials@IFS@Tutorial.ipynb@.PATH_END.py |
{
"filename": "msvc9compiler.py",
"repo_name": "numpy/numpy",
"repo_path": "numpy_extracted/numpy-main/numpy/distutils/msvc9compiler.py",
"type": "Python"
} | import os
from distutils.msvc9compiler import MSVCCompiler as _MSVCCompiler
from .system_info import platform_bits
def _merge(old, new):
"""Concatenate two environment paths avoiding repeats.
Here `old` is the environment string before the base class initialize
function is called and `new` is the string... | numpyREPO_NAMEnumpyPATH_START.@numpy_extracted@numpy-main@numpy@distutils@msvc9compiler.py@.PATH_END.py |
{
"filename": "_xanchor.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/shape/_xanchor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XanchorValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="xanchor", parent_name="layout.shape", **kwargs):
super(XanchorValidator, 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@layout@shape@_xanchor.py@.PATH_END.py |
{
"filename": "LICENSE.md",
"repo_name": "AndreyTavleev/DiscVerSt",
"repo_path": "DiscVerSt_extracted/DiscVerSt-master/LICENSE.md",
"type": "Markdown"
} | MIT License
Copyright (c) 2022 Andrey Tavleev
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 limitation the rights
to use, copy, modify, merge, publish, di... | AndreyTavleevREPO_NAMEDiscVerStPATH_START.@DiscVerSt_extracted@DiscVerSt-master@LICENSE.md@.PATH_END.py |
{
"filename": "pgt.py",
"repo_name": "icrar/daliuge",
"repo_path": "daliuge_extracted/daliuge-master/daliuge-translator/dlg/dropmake/pgt.py",
"type": "Python"
} | #
# ICRAR - International Centre for Radio Astronomy Research
# (c) UWA - The University of Western Australia, 2015
# Copyright by UWA (in the framework of the ICRAR)
# All rights reserved
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser G... | icrarREPO_NAMEdaliugePATH_START.@daliuge_extracted@daliuge-master@daliuge-translator@dlg@dropmake@pgt.py@.PATH_END.py |
{
"filename": "_sizesrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/isosurface/hoverlabel/font/_sizesrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="sizesrc", parent_name="isosurface.hoverlabel.font", **kwargs
):
super(SizesrcValidator, self).__init__(
plotly_name=plotly_name,
paren... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@isosurface@hoverlabel@font@_sizesrc.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "adrn/gala",
"repo_path": "gala_extracted/gala-main/gala/potential/potential/tests/__init__.py",
"type": "Python"
} | adrnREPO_NAMEgalaPATH_START.@gala_extracted@gala-main@gala@potential@potential@tests@__init__.py@.PATH_END.py | |
{
"filename": "matrix_logarithm_op_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/kernel_tests/linalg/matrix_logarithm_op_test.py",
"type": "Python"
} | # Copyright 2017 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@kernel_tests@linalg@matrix_logarithm_op_test.py@.PATH_END.py |
{
"filename": "test_cadctap_remote.py",
"repo_name": "D-arioSpace/astroquery",
"repo_path": "astroquery_extracted/astroquery-main/astroquery/cadc/tests/test_cadctap_remote.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
=============
Canadian Astronomy Data Centre
=============
"""
import pytest
import os
import requests
from pathlib import Path
from datetime import datetime, timezone
from astropy.coordinates import SkyCoord
from astropy.io import fits
from astropy i... | D-arioSpaceREPO_NAMEastroqueryPATH_START.@astroquery_extracted@astroquery-main@astroquery@cadc@tests@test_cadctap_remote.py@.PATH_END.py |
{
"filename": "_color.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattercarpet/marker/colorbar/title/font/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self,
plotly_name="color",
parent_name="scattercarpet.marker.colorbar.title.font",
**kwargs
):
super(ColorValidator, self).__init__(
plotly_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattercarpet@marker@colorbar@title@font@_color.py@.PATH_END.py |
{
"filename": "_family.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/heatmapgl/hoverlabel/font/_family.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="family", parent_name="heatmapgl.hoverlabel.font", **kwargs
):
super(FamilyValidator, self).__init__(
plotly_name=plotly_name,
parent... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@heatmapgl@hoverlabel@font@_family.py@.PATH_END.py |
{
"filename": "cut_data.py",
"repo_name": "mbejger/polgraw-allsky",
"repo_path": "polgraw-allsky_extracted/polgraw-allsky-master/followup/src/Auxiliary_scripts/cut_data.py",
"type": "Python"
} | from glob import iglob
import shutil, os, sys
datapath = sys.argv[3]
newpath = sys.argv[4]
ifo = sys.argv[1] #L1 or H1
band = sys.argv[2] #e.g. 0067
frame = '001'
start = int(sys.argv[5])
end = int(sys.argv[6])
N = 1033969 #int(sys.argv[7])
newsize = 258492 #int(sys.argv[8])
# Open big file
xdat = datapath + '/... | mbejgerREPO_NAMEpolgraw-allskyPATH_START.@polgraw-allsky_extracted@polgraw-allsky-master@followup@src@Auxiliary_scripts@cut_data.py@.PATH_END.py |
{
"filename": "plevel_fn.py",
"repo_name": "ExeClim/Isca",
"repo_path": "Isca_extracted/Isca-master/postprocessing/plevel_interpolation/scripts/plevel_fn.py",
"type": "Python"
} | #Function to load interpolated data on pressure levels for multiple months
#Copied from RG on 29/03/16
import subprocess
import sys
import os
import sh
def plevel_call(nc_file_in,nc_file_out, var_names = '-a', p_levels='default', mask_below_surface_option=' '):
check_gfdl_directories_set()
interper = './ple... | ExeClimREPO_NAMEIscaPATH_START.@Isca_extracted@Isca-master@postprocessing@plevel_interpolation@scripts@plevel_fn.py@.PATH_END.py |
{
"filename": "cocoplot.py",
"repo_name": "mdruett/COCOPLOT",
"repo_path": "COCOPLOT_extracted/COCOPLOT-master/Python/cocopy/cocoplot.py",
"type": "Python"
} | #!/bin/env python
# -*- coding: utf-8 -*-
name = "COCOpy"
import numpy as np
from PIL import Image as img
import astropy.io.fits as f
import matplotlib.pyplot as plt
import matplotlib.animation as animation
def filter(wavelengths, filtername, rgb_pos ='default', plot=False):
'''
Make filters for cocoplot
... | mdruettREPO_NAMECOCOPLOTPATH_START.@COCOPLOT_extracted@COCOPLOT-master@Python@cocopy@cocoplot.py@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "mikekatz04/LISAanalysistools",
"repo_path": "LISAanalysistools_extracted/LISAanalysistools-main/lisatools/sources/utils.py",
"type": "Python"
} | import numpy as np
from typing import Any, Tuple, List, Optional
from ..diagnostic import snr as snr_func
from lisatools.diagnostic import (
covariance,
plot_covariance_corner,
plot_covariance_contour,
)
from ..sensitivity import A1TDISens, Sensitivity
from .waveformbase import SNRWaveform, AETTDIWaveform
... | mikekatz04REPO_NAMELISAanalysistoolsPATH_START.@LISAanalysistools_extracted@LISAanalysistools-main@lisatools@sources@utils.py@.PATH_END.py |
{
"filename": "test_uni_hall_elecinertia.py",
"repo_name": "n-claes/legolas",
"repo_path": "legolas_extracted/legolas-master/tests/regression_tests/test_uni_hall_elecinertia.py",
"type": "Python"
} | import numpy as np
import pytest
from .regression import RegressionTest
class UniHallElectronInertia(RegressionTest):
equilibrium = "adiabatic_homo"
geometry = "Cartesian"
x_start = 0
x_end = 1000
parameters = {
"k2": 10 * np.sin(np.pi / 6),
"k3": 10 * np.cos(np.pi / 6),
... | n-claesREPO_NAMElegolasPATH_START.@legolas_extracted@legolas-master@tests@regression_tests@test_uni_hall_elecinertia.py@.PATH_END.py |
{
"filename": "_colorsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/table/cells/fill/_colorsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="colorsrc", parent_name="table.cells.fill", **kwargs
):
super(ColorsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@table@cells@fill@_colorsrc.py@.PATH_END.py |
{
"filename": "image_data.py",
"repo_name": "sibirrer/AstroObjectAnalyser",
"repo_path": "AstroObjectAnalyser_extracted/AstroObjectAnalyser-master/astroObjectAnalyser/image_data.py",
"type": "Python"
} | __author__ = 'sibirrer'
#external modules
import astropy.io.fits as pyfits
import astropy.wcs as pywcs
import astropy.coordinates as coords
import numpy as np
import astrofunc.util as util
import pyextract.image_config as ImageConfig
#internal modules
from astroObjectAnalyser.DataAnalysis.analysis import Analysis
f... | sibirrerREPO_NAMEAstroObjectAnalyserPATH_START.@AstroObjectAnalyser_extracted@AstroObjectAnalyser-master@astroObjectAnalyser@image_data.py@.PATH_END.py |
{
"filename": "get_pa.py",
"repo_name": "t-brandt/acorns-adi",
"repo_path": "acorns-adi_extracted/acorns-adi-master/transform/get_pa.py",
"type": "Python"
} | # Original filename: get_pa.py
#
# Author: Tim Brandt
# Email: tbrandt@astro.princeton.edu
# Date: March 2011
#
#
# Summary: Fetch the position angle from a FITS header. This routine
# uses the local sidereal time, RA, Dec, and latitude to get the
# parallactic angle of an object. All quantities except the latitude
#... | t-brandtREPO_NAMEacorns-adiPATH_START.@acorns-adi_extracted@acorns-adi-master@transform@get_pa.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "simonsobs/socs",
"repo_path": "socs_extracted/socs-main/socs/agents/ifm_sbn246_flowmeter/__init__.py",
"type": "Python"
} | simonsobsREPO_NAMEsocsPATH_START.@socs_extracted@socs-main@socs@agents@ifm_sbn246_flowmeter@__init__.py@.PATH_END.py | |
{
"filename": "test_polycomp_low_level.py",
"repo_name": "ziotom78/polycomp",
"repo_path": "polycomp_extracted/polycomp-master/tests/test_polycomp_low_level.py",
"type": "Python"
} | import numpy as np
import pypolycomp
def test_polycomp():
for alg in (pypolycomp.PCOMP_ALG_USE_CHEBYSHEV,
pypolycomp.PCOMP_ALG_NO_CHEBYSHEV):
max_error = 0.1
samples = np.array([1.0, 2.0, 3.0, 4.1])
params = pypolycomp.Polycomp(samples.size, 2, max_error, alg)
inv_ch... | ziotom78REPO_NAMEpolycompPATH_START.@polycomp_extracted@polycomp-master@tests@test_polycomp_low_level.py@.PATH_END.py |
{
"filename": "proper_motion_statistics.py",
"repo_name": "CPM-project/MCPM",
"repo_path": "MCPM_extracted/MCPM-master/examples/asteroid_first_try/proper_motion_statistics.py",
"type": "Python"
} | """
Calculate proper motion statistics for all input *.ephem_interp_CCR files.
"""
import sys
import numpy as np
pixel_scale = 3.96 # pixel scale of Kepler camera
def calculate_proper_motion_stats(file_name):
"""
Calculate proper motion based on time and (x,y) pixels.
Return median, min, and max [arcsec... | CPM-projectREPO_NAMEMCPMPATH_START.@MCPM_extracted@MCPM-master@examples@asteroid_first_try@proper_motion_statistics.py@.PATH_END.py |
{
"filename": "lad.py",
"repo_name": "spedas/pyspedas",
"repo_path": "pyspedas_extracted/pyspedas-master/pyspedas/projects/twins/lad.py",
"type": "Python"
} | from .load import load
# This routine was moved out of __init__.py. Please see that file for previous revision history.
def lad(trange=['2018-11-5', '2018-11-6'],
probe='1',
datatype='',
prefix='',
suffix='',
get_support_data=False,
varformat=None,
varname... | spedasREPO_NAMEpyspedasPATH_START.@pyspedas_extracted@pyspedas-master@pyspedas@projects@twins@lad.py@.PATH_END.py |
{
"filename": "plot_j1407_rings_face_on_simple.py",
"repo_name": "mkenworthy/exorings",
"repo_path": "exorings_extracted/exorings-master/plot_j1407_rings_face_on_simple.py",
"type": "Python"
} | import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
from scipy.interpolate import interp1d
import exorings3 as exorings
import j1407
# read in j1407 photometry
(time, flux, flux_err) = j1407.j1407_photom_binned('j1407_bincc.dat', 54160.0, 54300.0)
print ('number of photometric points: %d' % ti... | mkenworthyREPO_NAMEexoringsPATH_START.@exorings_extracted@exorings-master@plot_j1407_rings_face_on_simple.py@.PATH_END.py |
{
"filename": "LoftQ_weight_replacement.ipynb",
"repo_name": "huggingface/peft",
"repo_path": "peft_extracted/peft-main/examples/loftq_finetuning/LoftQ_weight_replacement.ipynb",
"type": "Jupyter Notebook"
} | # Initializing weights with LoftQ by replacing LoRA weights in-place
This notebook shows how to apply [LoftQ](https://arxiv.org/abs/2310.08659) initialization on our QLoRA model.
In short, the idea behind LoftQ is the following. When we use QLoRA, i.e. we quantize the base model with bitsandbytes to save memory, and ... | huggingfaceREPO_NAMEpeftPATH_START.@peft_extracted@peft-main@examples@loftq_finetuning@LoftQ_weight_replacement.ipynb@.PATH_END.py |
{
"filename": "run.py",
"repo_name": "leightonw-cerebras/sliding-window",
"repo_path": "sliding-window_extracted/sliding-window-main/synchronous-slide/run.py",
"type": "Python"
} | #!/usr/bin/env cs_python
import argparse
import csv
import json
import struct
import time
import numpy as np
from cerebras.sdk.runtime.sdkruntimepybind import SdkRuntime, MemcpyDataType, MemcpyOrder
from cerebras.sdk import sdk_utils
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--name... | leightonw-cerebrasREPO_NAMEsliding-windowPATH_START.@sliding-window_extracted@sliding-window-main@synchronous-slide@run.py@.PATH_END.py |
{
"filename": "get_scale_and_bias__return_value_type.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/_includes/work_src/reusage-python/get_scale_and_bias__return_value_type.md",
"type": "Markdown"
} |
{{ python-type--tuple }}
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@_includes@work_src@reusage-python@get_scale_and_bias__return_value_type.md@.PATH_END.py |
{
"filename": "pyrafetifile.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/gempy/eti_core/pyrafetifile.py",
"type": "Python"
} | from .etifile import ETIFile
from ..utils import logutils
log = logutils.get_logger(__name__)
class PyrafETIFile(ETIFile):
"""This class coordinates the ETI files as it pertains to Pyraf
tasks in general.
"""
inputs = None
params = None
filedict = None
def __init__(self, inputs=None, param... | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@gempy@eti_core@pyrafetifile.py@.PATH_END.py |
{
"filename": "dbgpyapp.py",
"repo_name": "mhammond/pywin32",
"repo_path": "pywin32_extracted/pywin32-main/Pythonwin/pywin/debugger/dbgpyapp.py",
"type": "Python"
} | # dbgpyapp.py - Debugger Python application class
#
import sys
import win32con
import win32ui
from pywin.framework import intpyapp
version = "0.3.0"
class DebuggerPythonApp(intpyapp.InteractivePythonApp):
def LoadMainFrame(self):
"Create the main applications frame"
self.frame = self.CreateMain... | mhammondREPO_NAMEpywin32PATH_START.@pywin32_extracted@pywin32-main@Pythonwin@pywin@debugger@dbgpyapp.py@.PATH_END.py |
{
"filename": "test_snr.py",
"repo_name": "vterron/lemon",
"repo_path": "lemon_extracted/lemon-master/test/test_snr.py",
"type": "Python"
} | #! /usr/bin/env python2
# Copyright (c) 2012 Victor Terron. All rights reserved.
# Institute of Astrophysics of Andalusia, IAA-CSIC
#
# This file is part of LEMON.
#
# LEMON 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 Softwar... | vterronREPO_NAMElemonPATH_START.@lemon_extracted@lemon-master@test@test_snr.py@.PATH_END.py |
{
"filename": "median_and_scatter_model.py",
"repo_name": "Moyoxkit/cluster-counts",
"repo_path": "cluster-counts_extracted/cluster-counts-main/cluster_model/median_and_scatter_model.py",
"type": "Python"
} | import numpy as np
from astropy.cosmology import FlatLambdaCDM, z_at_value
import astropy.units as u
import matplotlib.pyplot as plt
from tqdm import tqdm
from scipy.integrate import dblquad, quad
from scipy.interpolate import (
interp1d,
LinearNDInterpolator,
NearestNDInterpolator,
griddata,
)
from sci... | MoyoxkitREPO_NAMEcluster-countsPATH_START.@cluster-counts_extracted@cluster-counts-main@cluster_model@median_and_scatter_model.py@.PATH_END.py |
{
"filename": "_end.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/histogram2d/ybins/_end.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class EndValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="end", parent_name="histogram2d.ybins", **kwargs):
super(EndValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edi... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@histogram2d@ybins@_end.py@.PATH_END.py |
{
"filename": "tfsa-2021-196.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/security/advisory/tfsa-2021-196.md",
"type": "Markdown"
} | ## TFSA-2021-196: Overflow/crash in `tf.tile` when tiling tensor is large
### CVE Number
CVE-2021-41198
### Impact
If `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow.
```python
import tensorflow as tf
import numpy as np
tf.keras.ba... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@security@advisory@tfsa-2021-196.md@.PATH_END.py |
{
"filename": "sqlite_interface.py",
"repo_name": "fred3m/toyz",
"repo_path": "toyz_extracted/toyz-master/toyz/utils/db_interfaces/sqlite_interface.py",
"type": "Python"
} | # Copyright 2015 by Fred Moolekamp
# License: BSD 3-clause
"""
Database interface to sqlite
"""
from __future__ import print_function, division
import os
import sys
import json
import sqlite3
from toyz.utils.errors import ToyzDbError
from toyz.utils import db as db_utils
############################################... | fred3mREPO_NAMEtoyzPATH_START.@toyz_extracted@toyz-master@toyz@utils@db_interfaces@sqlite_interface.py@.PATH_END.py |
{
"filename": "surface.py",
"repo_name": "enthought/mayavi",
"repo_path": "mayavi_extracted/mayavi-master/mayavi/modules/surface.py",
"type": "Python"
} | """Draws a surface for any input dataset with optional contouring.
"""
# Author: Prabhu Ramachandran <prabhu_r@users.sf.net>
# Copyright (c) 2005, Enthought, Inc.
# License: BSD Style.
# Enthought library imports.
from traits.api import Instance, Bool
from tvtk.api import tvtk
# Local imports
from mayavi.core.pipeli... | enthoughtREPO_NAMEmayaviPATH_START.@mayavi_extracted@mayavi-master@mayavi@modules@surface.py@.PATH_END.py |
{
"filename": "test_waterfall2.py",
"repo_name": "ucberkeleyseti/blimpy",
"repo_path": "blimpy_extracted/blimpy-master/tests/test_waterfall2.py",
"type": "Python"
} | import os
import numpy as np
from astropy.coordinates import Angle
import matplotlib.pyplot as plt
import blimpy as bl
from blimpy.plotting import plot_waterfall, plot_spectrum_min_max
from tests.data import voyager_h5, test_h5, test_fil
TEST_DATA_DIR = os.path.dirname(voyager_h5)
RTOL = 1e-05
def compare_hdr_field... | ucberkeleysetiREPO_NAMEblimpyPATH_START.@blimpy_extracted@blimpy-master@tests@test_waterfall2.py@.PATH_END.py |
{
"filename": "astropt020M.py",
"repo_name": "Smith42/astroPT",
"repo_path": "astroPT_extracted/astroPT-main/config/astropt020M.py",
"type": "Python"
} | # this file will train a ~20m parameter model with the same hyperparams as
# EleutherAI's Pythia-20M (https://arxiv.org/abs/2304.01373)
#
# launch as the following (e.g. in a tmux session) and wait ~5 days:
# $ OMP_NUM_THREADS=32 torchrun --standalone --nproc_per_node=8 src/train.py config/astropt300m.py
#
# don't forg... | Smith42REPO_NAMEastroPTPATH_START.@astroPT_extracted@astroPT-main@config@astropt020M.py@.PATH_END.py |
{
"filename": "_nbinsy.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/histogram/_nbinsy.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NbinsyValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(self, plotly_name="nbinsy", parent_name="histogram", **kwargs):
super(NbinsyValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@histogram@_nbinsy.py@.PATH_END.py |
{
"filename": "test_base.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/partners/openai/tests/unit_tests/chat_models/test_base.py",
"type": "Python"
} | """Test OpenAI Chat API wrapper."""
import json
from types import TracebackType
from typing import Any, Dict, List, Literal, Optional, Type, Union
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from langchain_core.messages import (
AIMessage,
AIMessageChunk,
FunctionMessage,
Human... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@partners@openai@tests@unit_tests@chat_models@test_base.py@.PATH_END.py |
{
"filename": "_colorsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/area/marker/_colorsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="colorsrc", parent_name="area.marker", **kwargs):
super(ColorsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@area@marker@_colorsrc.py@.PATH_END.py |
{
"filename": "test_detailedRun_P2.ipynb",
"repo_name": "anchal-009/SAVED21cm",
"repo_path": "SAVED21cm_extracted/SAVED21cm-master/tests_new/test_detailedRun_P2.ipynb",
"type": "Jupyter Notebook"
} | ### A detailed notebook to perform 21cm signal extraction by fitting 2 antennas at different times
Importing dependencies
```python
import sys; sys.path.insert(1, './../')
from src.readset import Modset, Inputs
from src.noise import Noise
from src.basis import Basis
from src.visuals import Visual
from src.infocrit i... | anchal-009REPO_NAMESAVED21cmPATH_START.@SAVED21cm_extracted@SAVED21cm-master@tests_new@test_detailedRun_P2.ipynb@.PATH_END.py |
{
"filename": "_tickformat.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/choropleth/colorbar/_tickformat.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="tickformat", parent_name="choropleth.colorbar", **kwargs
):
super(TickformatValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@choropleth@colorbar@_tickformat.py@.PATH_END.py |
{
"filename": "cubed_m_28_kg_scf_perts_off_newtcl.py",
"repo_name": "PoulinV/AxiCLASS",
"repo_path": "AxiCLASS_extracted/AxiCLASS-master/output/cubed_m_28_kg_scf_perts_off_newtcl.py",
"type": "Python"
} | import matplotlib.pyplot as plt
import numpy as np
import itertools
files = ['/home/charlotte/class_perso-ScalarField/class_perso-ScalarField/output/cubed_m_28_kg_scf_perts_off_newtcl.dat', '/home/charlotte/class_perso-ScalarField/class_perso-ScalarField/output/cubed_m_28_fluid_scf_perts_off_newt_cl.dat', '/home/charl... | PoulinVREPO_NAMEAxiCLASSPATH_START.@AxiCLASS_extracted@AxiCLASS-master@output@cubed_m_28_kg_scf_perts_off_newtcl.py@.PATH_END.py |
{
"filename": "_variant.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/carpet/baxis/title/font/_variant.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VariantValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="variant", parent_name="carpet.baxis.title.font", **kwargs
):
super(VariantValidator, self).__init__(
plotly_name=plotly_name,
p... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@carpet@baxis@title@font@_variant.py@.PATH_END.py |
{
"filename": "__config__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/numpy/py2/numpy/__config__.py",
"type": "Python"
} | # This file is generated by /home/alexander/work/temp/numpy-1.11.1/setup.py
# It contains system_info results at the time of building this package.
__all__ = ["get_info","show"]
blas_info={'libraries': ['blas', 'blas'], 'library_dirs': ['/usr/lib'], 'language': 'c', 'define_macros': [('HAVE_CBLAS', None)]}
atlas_3_10_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@numpy@py2@numpy@__config__.py@.PATH_END.py |
{
"filename": "read_spectrum.py",
"repo_name": "psheehan/pdspy",
"repo_path": "pdspy_extracted/pdspy-master/pdspy/spectroscopy/read_spectrum.py",
"type": "Python"
} | from numpy import loadtxt
from .spectroscopy import Spectrum
def read_spectrum(file):
spectrum = loadtxt(file)
wave = spectrum[:,0]
flux = spectrum[:,1]
unc = spectrum[:,2]
data = Spectrum(wave,flux,unc)
return data
| psheehanREPO_NAMEpdspyPATH_START.@pdspy_extracted@pdspy-master@pdspy@spectroscopy@read_spectrum.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "brinckmann/montepython_public",
"repo_path": "montepython_public_extracted/montepython_public-master/montepython/likelihoods/bicep/__init__.py",
"type": "Python"
} | # there is no specific lieklihood code for this experiment, because it
# falls in the category of CMB experiments described in the "newdat"
# format. The class below inherits the properties of a general class
# "Likelihood_newdat", which knows how to deal with all experiments in
# "newdat" format.
from montepython.lik... | brinckmannREPO_NAMEmontepython_publicPATH_START.@montepython_public_extracted@montepython_public-master@montepython@likelihoods@bicep@__init__.py@.PATH_END.py |
{
"filename": "test__threadsafety.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py3/scipy/_lib/tests/test__threadsafety.py",
"type": "Python"
} | import threading
import time
import traceback
from numpy.testing import assert_
from pytest import raises as assert_raises
from scipy._lib._threadsafety import ReentrancyLock, non_reentrant, ReentrancyError
def test_parallel_threads():
# Check that ReentrancyLock serializes work in parallel threads.
#
#... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py3@scipy@_lib@tests@test__threadsafety.py@.PATH_END.py |
{
"filename": "_dummy_thread32.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/deprecated/python/functools32/functools32/_dummy_thread32.py",
"type": "Python"
} | """Drop-in replacement for the thread module.
Meant to be used as a brain-dead substitute so that threaded code does
not need to be rewritten for when the thread module is not present.
Suggested usage is::
try:
try:
import _thread # Python >= 3
except:
import thread as _t... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@deprecated@python@functools32@functools32@_dummy_thread32.py@.PATH_END.py |
{
"filename": "multi-col.py",
"repo_name": "enthought/mayavi",
"repo_path": "mayavi_extracted/mayavi-master/mayavi/tests/csv_files/multi-col.py",
"type": "Python"
} | { 'array': array([ (5.552, 1.942, 1.761, 2.6, 6.8),
(5.963, 1.885, 1.775, 2.7, 6.9),
(6.135, 1.791, 1.792, 2.5, 6.6),
(6.313, 1.774, 1.884, 2.6, 6.6),
(6.713, 1.762, 1.943, 2.5, 6.7)],
dtype=[('Column 1', float),
... | enthoughtREPO_NAMEmayaviPATH_START.@mayavi_extracted@mayavi-master@mayavi@tests@csv_files@multi-col.py@.PATH_END.py |
{
"filename": "arealm.py",
"repo_name": "crossbario/crossbar",
"repo_path": "crossbar_extracted/crossbar-master/crossbar/master/arealm/arealm.py",
"type": "Python"
} | ###############################################################################
#
# Crossbar.io Master
# Copyright (c) typedef int GmbH. Licensed under EUPLv1.2.
#
###############################################################################
import os
import uuid
from typing import Optional, List, Dict
from pprint i... | crossbarioREPO_NAMEcrossbarPATH_START.@crossbar_extracted@crossbar-master@crossbar@master@arealm@arealm.py@.PATH_END.py |
{
"filename": "_highlightwidth.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/surface/contours/x/_highlightwidth.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HighlightwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="highlightwidth", parent_name="surface.contours.x", **kwargs
):
super(HighlightwidthValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@surface@contours@x@_highlightwidth.py@.PATH_END.py |
{
"filename": "_meta.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/surface/_meta.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="meta", parent_name="surface", **kwargs):
super(MetaValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=k... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@surface@_meta.py@.PATH_END.py |
{
"filename": "config_compiler.py",
"repo_name": "numpy/numpy",
"repo_path": "numpy_extracted/numpy-main/numpy/distutils/command/config_compiler.py",
"type": "Python"
} | from distutils.core import Command
from numpy.distutils import log
#XXX: Linker flags
def show_fortran_compilers(_cache=None):
# Using cache to prevent infinite recursion.
if _cache:
return
elif _cache is None:
_cache = []
_cache.append(1)
from numpy.distutils.fcompiler import show... | numpyREPO_NAMEnumpyPATH_START.@numpy_extracted@numpy-main@numpy@distutils@command@config_compiler.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/histogram/marker/colorbar/_showtickprefix.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="showtickprefix",
parent_name="histogram.marker.colorbar",
**kwargs,
):
super(ShowtickprefixValidator, self).__init__(
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@histogram@marker@colorbar@_showtickprefix.py@.PATH_END.py |
{
"filename": "Tutorial - Extract spectra against found radio sources in the f.o.v..ipynb",
"repo_name": "apertif/apercal",
"repo_path": "apercal_extracted/apercal-master/ipython-notebooks/projects/SHARP/Tutorial - Extract spectra against found radio sources in the f.o.v..ipynb",
"type": "Jupyter Notebook"
} | ```python
# Now we want to actually use the pipeline to extract spectra from an APERTIF observation
# Let's start the pipeline again as we did in the last tutorials
# Remember to change all the directory paths to your own ones
%config IPCompleter.greedy=True
%matplotlib notebook
import libs.lib as lib
lib.setup_logger(... | apertifREPO_NAMEapercalPATH_START.@apercal_extracted@apercal-master@ipython-notebooks@projects@SHARP@Tutorial - Extract spectra against found radio sources in the f.o.v..ipynb@.PATH_END.py |
{
"filename": "default_constants.py",
"repo_name": "njcuk9999/apero-drs",
"repo_path": "apero-drs_extracted/apero-drs-main/apero/core/instruments/default/default_constants.py",
"type": "Python"
} | """
Default constants for NO INSTRUMENT
This is the default constants config file
Created on 2019-01-17
@author: cook
"""
# This is the main config file
import numpy as np
from apero.base import base
from apero.core.constants import constant_functions
# ============================================================... | njcuk9999REPO_NAMEapero-drsPATH_START.@apero-drs_extracted@apero-drs-main@apero@core@instruments@default@default_constants.py@.PATH_END.py |
{
"filename": "test_spec.py",
"repo_name": "NASA-Planetary-Science/sbpy",
"repo_path": "sbpy_extracted/sbpy-main/sbpy/spectroscopy/tests/test_spec.py",
"type": "Python"
} | import os
def data_path(filename):
data_dir = os.path.join(os.path.dirname(__file__), 'data')
return os.path.join(data_dir, filename)
class MockResponseSpec(object):
def __init__(self, filename):
self.filename = data_path(filename)
@property
def text(self):
with open(self.filen... | NASA-Planetary-ScienceREPO_NAMEsbpyPATH_START.@sbpy_extracted@sbpy-main@sbpy@spectroscopy@tests@test_spec.py@.PATH_END.py |
{
"filename": "07_B_regularize_real_data.py",
"repo_name": "gully/blase",
"repo_path": "blase_extracted/blase-main/experiments/07_regularize_real_data/07_B_regularize_real_data.py",
"type": "Python"
} | import os
import torch
from torch import nn
from tqdm import trange
import torch.optim as optim
from blase.emulator import SparsePhoenixEmulator
import matplotlib.pyplot as plt
from gollum.phoenix import PHOENIXSpectrum
import numpy as np
from muler.hpf import HPFSpectrumList, HPFSpectrum
import copy
import astropy.uni... | gullyREPO_NAMEblasePATH_START.@blase_extracted@blase-main@experiments@07_regularize_real_data@07_B_regularize_real_data.py@.PATH_END.py |
{
"filename": "raytune.md",
"repo_name": "ultralytics/ultralytics",
"repo_path": "ultralytics_extracted/ultralytics-main/docs/en/reference/utils/callbacks/raytune.md",
"type": "Markdown"
} | ---
description: Learn how to integrate Ray Tune with Ultralytics YOLO for efficient hyperparameter tuning and performance tracking.
keywords: Ultralytics, Ray Tune, hyperparameter tuning, YOLO, machine learning, deep learning, callbacks, integration, training metrics
---
# Reference for `ultralytics/utils/callbacks/r... | ultralyticsREPO_NAMEultralyticsPATH_START.@ultralytics_extracted@ultralytics-main@docs@en@reference@utils@callbacks@raytune.md@.PATH_END.py |
{
"filename": "google_scholar.ipynb",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/docs/docs/integrations/tools/google_scholar.ipynb",
"type": "Jupyter Notebook"
} | # Google Scholar
This notebook goes through how to use Google Scholar Tool
```python
%pip install --upgrade --quiet google-search-results langchain-community
```
Requirement already satisfied: google-search-results in /home/mohtashimkhan/mambaforge/envs/langchain/lib/python3.9/site-packages (2.4.2)
Require... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@docs@docs@integrations@tools@google_scholar.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "MarcoMuellner/SMURFS",
"repo_path": "SMURFS_extracted/SMURFS-master/smurfs/smurfs_common/preprocessing/__init__.py",
"type": "Python"
} | MarcoMuellnerREPO_NAMESMURFSPATH_START.@SMURFS_extracted@SMURFS-master@smurfs@smurfs_common@preprocessing@__init__.py@.PATH_END.py | |
{
"filename": "__init__.py",
"repo_name": "CobayaSampler/cobaya",
"repo_path": "cobaya_extracted/cobaya-master/cobaya/likelihoods/planck_NPIPE_highl_CamSpec/__init__.py",
"type": "Python"
} | CobayaSamplerREPO_NAMEcobayaPATH_START.@cobaya_extracted@cobaya-master@cobaya@likelihoods@planck_NPIPE_highl_CamSpec@__init__.py@.PATH_END.py | |
{
"filename": "_color.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/waterfall/totals/marker/line/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="waterfall.totals.marker.line", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@waterfall@totals@marker@line@_color.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "trivnguyen/florah",
"repo_path": "florah_extracted/florah-main/src/florah/__init__.py",
"type": "Python"
} |
from . import models, utils
| trivnguyenREPO_NAMEflorahPATH_START.@florah_extracted@florah-main@src@florah@__init__.py@.PATH_END.py |
{
"filename": "_visible.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/indicator/_visible.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="visible", parent_name="indicator", **kwargs):
super(VisibleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@indicator@_visible.py@.PATH_END.py |
{
"filename": "worker.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/src/integrations/prefect-docker/prefect_docker/worker.py",
"type": "Python"
} | """
Module containing the Docker worker used for executing flow runs as Docker containers.
To start a Docker worker, run the following command:
```bash
prefect worker start --pool 'my-work-pool' --type docker
```
Replace `my-work-pool` with the name of the work pool you want the worker
to poll for flow runs.
For mo... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@src@integrations@prefect-docker@prefect_docker@worker.py@.PATH_END.py |
{
"filename": "data_path.py",
"repo_name": "grackle-project/grackle",
"repo_path": "grackle_extracted/grackle-main/src/python/pygrackle/utilities/data_path.py",
"type": "Python"
} | ########################################################################
#
# Try to get a path to the Grackle input data.
#
#
# Copyright (c) Grackle Development Team. All rights reserved.
#
# Distributed under the terms of the Enzo Public Licence.
#
# The full license is in the file LICENSE, distributed with this
# so... | grackle-projectREPO_NAMEgracklePATH_START.@grackle_extracted@grackle-main@src@python@pygrackle@utilities@data_path.py@.PATH_END.py |
{
"filename": "frozenSupport.py",
"repo_name": "3fon3fonov/exostriker",
"repo_path": "exostriker_extracted/exostriker-main/exostriker/lib/pyqtgraph/frozenSupport.py",
"type": "Python"
} | ## Definitions helpful in frozen environments (eg py2exe)
import os
import sys
import zipfile
def listdir(path):
"""Replacement for os.listdir that works in frozen environments."""
if not hasattr(sys, 'frozen'):
return os.listdir(path)
(zipPath, archivePath) = splitZip(path)
if archivePat... | 3fon3fonovREPO_NAMEexostrikerPATH_START.@exostriker_extracted@exostriker-main@exostriker@lib@pyqtgraph@frozenSupport.py@.PATH_END.py |
{
"filename": "test_serve.py",
"repo_name": "ML4GW/hermes",
"repo_path": "hermes_extracted/hermes-main/tests/aeriel/serve/test_serve.py",
"type": "Python"
} | import os
import time
from queue import Queue
from tempfile import NamedTemporaryFile
from unittest.mock import MagicMock, patch
import pytest
from hermes.aeriel.serve.serve import get_wait, serve
def test_get_wait():
q = Queue()
wait = get_wait(q)
responses = iter([False, False, True])
def is_serv... | ML4GWREPO_NAMEhermesPATH_START.@hermes_extracted@hermes-main@tests@aeriel@serve@test_serve.py@.PATH_END.py |
{
"filename": "solve.py",
"repo_name": "JohannesBuchner/PyMultiNest",
"repo_path": "PyMultiNest_extracted/PyMultiNest-master/pymultinest/solve.py",
"type": "Python"
} | """
A pythonic interface to MultiNest
"""
from __future__ import absolute_import, unicode_literals, print_function
from .run import run
from .analyse import Analyzer
import numpy
import tempfile
import shutil
"""
A pythonic interface to MultiNest. The arguments are the same as in
*run* (see there), except that the ... | JohannesBuchnerREPO_NAMEPyMultiNestPATH_START.@PyMultiNest_extracted@PyMultiNest-master@pymultinest@solve.py@.PATH_END.py |
{
"filename": "test_prepare_arrays.py",
"repo_name": "daniel-muthukrishna/astrorapid",
"repo_path": "astrorapid_extracted/astrorapid-master/tests/test_prepare_arrays.py",
"type": "Python"
} | daniel-muthukrishnaREPO_NAMEastrorapidPATH_START.@astrorapid_extracted@astrorapid-master@tests@test_prepare_arrays.py@.PATH_END.py | |
{
"filename": "utils.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/packaging/py2/packaging/utils.py",
"type": "Python"
} | # This file is dual licensed under the terms of the Apache License, Version
# 2.0, and the BSD License. See the LICENSE file in the root of this repository
# for complete details.
from __future__ import absolute_import, division, print_function
import re
from ._typing import TYPE_CHECKING, cast
from .tags import Tag,... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@packaging@py2@packaging@utils.py@.PATH_END.py |
{
"filename": "3__supervised_model_investigation.ipynb",
"repo_name": "ArjunS07/pu-learning-for-frbs-2023",
"repo_path": "pu-learning-for-frbs-2023_extracted/pu-learning-for-frbs-2023-master/src/3__supervised_model_investigation.ipynb",
"type": "Jupyter Notebook"
} | ```python
import pandas as pd
import numpy as np
import warnings
from collections import Counter
warnings.filterwarnings("ignore")
from imblearn.over_sampling import SMOTE
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import recall_score, fbeta_score
from sklearn.linear_model import LogisticR... | ArjunS07REPO_NAMEpu-learning-for-frbs-2023PATH_START.@pu-learning-for-frbs-2023_extracted@pu-learning-for-frbs-2023-master@src@3__supervised_model_investigation.ipynb@.PATH_END.py |
{
"filename": "_column.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/geo/domain/_column.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(self, plotly_name="column", parent_name="layout.geo.domain", **kwargs):
super(ColumnValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@geo@domain@_column.py@.PATH_END.py |
{
"filename": "XID+CIGALE-ESB_fit.ipynb",
"repo_name": "H-E-L-P/XID_plus",
"repo_path": "XID_plus_extracted/XID_plus-master/docs/build/doctrees/nbsphinx/notebooks/examples/SED_emulator/XID+CIGALE-ESB_fit.ipynb",
"type": "Jupyter Notebook"
} | # Applying XID+CIGALE to Lenses
In this notebook, we read in the data files and prepare them for fitting with XID+CIGALE, the SED prior model extension to XID+. Here we focus on sources Lenses observed by HST and found in Herschel blind catalogues
Import required modules
```python
from astropy.io import ascii, fits
... | H-E-L-PREPO_NAMEXID_plusPATH_START.@XID_plus_extracted@XID_plus-master@docs@build@doctrees@nbsphinx@notebooks@examples@SED_emulator@XID+CIGALE-ESB_fit.ipynb@.PATH_END.py |
{
"filename": "test_optimizers.py",
"repo_name": "blackjax-devs/blackjax",
"repo_path": "blackjax_extracted/blackjax-main/tests/optimizers/test_optimizers.py",
"type": "Python"
} | """Test optimizers."""
import functools
import chex
import jax
import jax.numpy as jnp
import jax.scipy.stats as stats
import numpy as np
from absl.testing import absltest, parameterized
from jax.flatten_util import ravel_pytree
from jaxopt._src.lbfgs import compute_gamma, inv_hessian_product
from blackjax.optimizers... | blackjax-devsREPO_NAMEblackjaxPATH_START.@blackjax_extracted@blackjax-main@tests@optimizers@test_optimizers.py@.PATH_END.py |
{
"filename": "_hovertext.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/streamtube/_hovertext.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="hovertext", parent_name="streamtube", **kwargs):
super(HovertextValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@streamtube@_hovertext.py@.PATH_END.py |
{
"filename": "photoz.ipynb",
"repo_name": "glass-dev/glass",
"repo_path": "glass_extracted/glass-main/examples/1-basic/photoz.ipynb",
"type": "Jupyter Notebook"
} | # Photometric redshifts
This example simulates galaxies with a simple photometric redshift model.
## Setup
The simplest galaxies-only GLASS simulation, sampling galaxies using some
redshift distribution. Then add a model for photometric redshifts with
Gaussian errors.
```python
import matplotlib.pyplot as plt
i... | glass-devREPO_NAMEglassPATH_START.@glass_extracted@glass-main@examples@1-basic@photoz.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "rhayes777/PyAutoFit",
"repo_path": "PyAutoFit_extracted/PyAutoFit-main/test_autofit/text/__init__.py",
"type": "Python"
} | rhayes777REPO_NAMEPyAutoFitPATH_START.@PyAutoFit_extracted@PyAutoFit-main@test_autofit@text@__init__.py@.PATH_END.py | |
{
"filename": "queues.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/joblib/joblib/externals/loky/backend/queues.py",
"type": "Python"
} | ###############################################################################
# Queue and SimpleQueue implementation for loky
#
# authors: Thomas Moreau, Olivier Grisel
#
# based on multiprocessing/queues.py (16/02/2017)
# * Add some custom reducers for the Queues/SimpleQueue to tweak the
# pickling process. (overl... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@joblib@joblib@externals@loky@backend@queues.py@.PATH_END.py |
{
"filename": "_textfont.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/icicle/pathbar/_textfont.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Textfont(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "icicle.pathbar"
_path_str = "icicle.pathbar.textfont"
_valid_props = {
"color",
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@icicle@pathbar@_textfont.py@.PATH_END.py |
{
"filename": "_nticks.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/contour/colorbar/_nticks.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(self, plotly_name="nticks", parent_name="contour.colorbar", **kwargs):
super(NticksValidator, 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@contour@colorbar@_nticks.py@.PATH_END.py |
{
"filename": "_lon.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattergeo/_lon.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LonValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="lon", parent_name="scattergeo", **kwargs):
super(LonValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattergeo@_lon.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/packages/amuse-simplex/setup.py",
"type": "Python"
} | #!/usr/bin/env python3
from support.classifiers import classifiers
from setuptools import setup
import support
support.use("system")
from support.setup_codes import setup_commands
name = 'amuse-simplex'
author = 'The AMUSE team'
author_email = 'info@amusecode.org'
license_ = "Apache License 2.0"
url = 'http://www.am... | amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@packages@amuse-simplex@setup.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "gammapy/enrico",
"repo_path": "enrico_extracted/enrico-master/enrico/submit/__init__.py",
"type": "Python"
} | """Helper functions to call command line tools from python
@todo:
- Make it flexible so that a dict(a=42) can be given and
'a=42' or '-a 42' or '--a 42' is generated depending on an option!
- Make it a class, so that options like dryrun or options formattting
don't have to be handed around all the time!!!"""
import s... | gammapyREPO_NAMEenricoPATH_START.@enrico_extracted@enrico-master@enrico@submit@__init__.py@.PATH_END.py |
{
"filename": "optimization.py",
"repo_name": "mtalapinto/moes",
"repo_path": "carmenes/optimization.py",
"type": "Python"
} | import warnings
import glob
import chromatic_aberrations
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from astropy.time import Time
import joint_aberrations
import optical_aberrations
import poly_fit
warnings.filterwarnings("ignore")
from pylab import *
from optics import vis_spectrometer
from simanneal ... | mtalapintoREPO_NAMEmoesPATH_START.@carmenes@optimization.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "jakevdp/nfft",
"repo_path": "nfft_extracted/nfft-master/nfft/__init__.py",
"type": "Python"
} | """Non-equispaced Fast Fourier Transforms"""
from __future__ import absolute_import, division, print_function
from .version import __version__
from .core import nfft, ndft, nfft_adjoint, ndft_adjoint
| jakevdpREPO_NAMEnfftPATH_START.@nfft_extracted@nfft-master@nfft@__init__.py@.PATH_END.py |
{
"filename": "test_california_housing.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/sklearn/datasets/tests/test_california_housing.py",
"type": "Python"
} | """Test the california_housing loader, if the data is available,
or if specifically requested via environment variable
(e.g. for CI jobs)."""
from functools import partial
import pytest
from sklearn.datasets.tests.test_common import check_return_X_y
def test_fetch(fetch_california_housing_fxt):
data = fetch_ca... | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@sklearn@datasets@tests@test_california_housing.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/densitymapbox/colorbar/title/font/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._weight import WeightValidator
from ._variant import VariantValidator
from ._textcase import TextcaseValidator
from ._style import StyleValidator
from ._size import SizeValidator
from ._shadow impor... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@densitymapbox@colorbar@title@font@__init__.py@.PATH_END.py |
{
"filename": "example-analysis-cgm.ipynb",
"repo_name": "rongmon/rbcodes",
"repo_path": "rbcodes_extracted/rbcodes-master/example-analysis-cgm.ipynb",
"type": "Jupyter Notebook"
} | # This is an examples of how to perform a CGM analysis using the rb_spec.py pipeline
## Written By: Rongmon Bordoloi
----------------
The goal of this notebook is to show a running example analysing absorption line spectra. We will read in a fits file of a HST/COS quasar, pick one absorption line, continuum normaliz... | rongmonREPO_NAMErbcodesPATH_START.@rbcodes_extracted@rbcodes-master@example-analysis-cgm.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/statsmodels/miscmodels/tests/__init__.py",
"type": "Python"
} | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@statsmodels@miscmodels@tests@__init__.py@.PATH_END.py | |
{
"filename": "test_fillna.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/indexes/datetimes/methods/test_fillna.py",
"type": "Python"
} | import pytest
import pandas as pd
import pandas._testing as tm
class TestDatetimeIndexFillNA:
@pytest.mark.parametrize("tz", ["US/Eastern", "Asia/Tokyo"])
def test_fillna_datetime64(self, tz):
# GH 11343
idx = pd.DatetimeIndex(["2011-01-01 09:00", pd.NaT, "2011-01-01 11:00"])
exp = p... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@indexes@datetimes@methods@test_fillna.py@.PATH_END.py |
{
"filename": "relative_moments.py",
"repo_name": "LSSTDESC/chroma",
"repo_path": "chroma_extracted/chroma-master/bin/phosim/characterize/off_axis_dispersion/relative_moments.py",
"type": "Python"
} | '''
Want to measure first and second moments of simulated stars relative to the simulated G5v stars.
'''
import pickle
import numpy
import pyfits
import _mypath
import chroma
def encode_obshistid(SED_type, filter_name, zenith, seed, redshift):
SED_types = {'G5v':'1', 'star':'2', 'gal':'3'}
SED_digit = SED_t... | LSSTDESCREPO_NAMEchromaPATH_START.@chroma_extracted@chroma-master@bin@phosim@characterize@off_axis_dispersion@relative_moments.py@.PATH_END.py |
{
"filename": "adapter_utils.md",
"repo_name": "huggingface/peft",
"repo_path": "peft_extracted/peft-main/docs/source/package_reference/adapter_utils.md",
"type": "Markdown"
} | <!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | huggingfaceREPO_NAMEpeftPATH_START.@peft_extracted@peft-main@docs@source@package_reference@adapter_utils.md@.PATH_END.py |
{
"filename": "edenai.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/llms/edenai.py",
"type": "Python"
} | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.llms import EdenAI
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
DEPRECATED_LOOKUP ... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@llms@edenai.py@.PATH_END.py |
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