metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "differential_refraction.bkp.py",
"repo_name": "LucaMalavolta/SLOPpy",
"repo_path": "SLOPpy_extracted/SLOPpy-main/SLOPpy/differential_refraction.bkp.py",
"type": "Python"
} | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.shortcuts import *
__all__ = ["compute_differential_refr... | LucaMalavoltaREPO_NAMESLOPpyPATH_START.@SLOPpy_extracted@SLOPpy-main@SLOPpy@differential_refraction.bkp.py@.PATH_END.py |
{
"filename": "_tickvals.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickvals.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self, plotly_name="tickvals", parent_name="choropleth.colorbar", **kwargs
):
super(TickvalsValidator, self).__init__(
plotly_name=plotly_name,
par... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@choropleth@colorbar@_tickvals.py@.PATH_END.py |
{
"filename": "crack-seg.md",
"repo_name": "ultralytics/ultralytics",
"repo_path": "ultralytics_extracted/ultralytics-main/docs/en/datasets/segment/crack-seg.md",
"type": "Markdown"
} | ---
comments: true
description: Explore the extensive Roboflow Crack Segmentation Dataset, perfect for transportation and public safety studies or self-driving car model development.
keywords: Roboflow, Crack Segmentation Dataset, Ultralytics, transportation safety, public safety, self-driving cars, computer vision, ro... | ultralyticsREPO_NAMEultralyticsPATH_START.@ultralytics_extracted@ultralytics-main@docs@en@datasets@segment@crack-seg.md@.PATH_END.py |
{
"filename": "FitGlobal21cm.py",
"repo_name": "mirochaj/ares",
"repo_path": "ares_extracted/ares-main/ares/inference/FitGlobal21cm.py",
"type": "Python"
} | """
ModelFit.py
Author: Jordan Mirocha
Affiliation: University of Colorado at Boulder
Created on: Mon May 12 14:01:29 MDT 2014
Description:
"""
import signal
import numpy as np
from ..util.Pickling import write_pickle_file
from ..physics.Constants import nu_0_mhz
import gc, os, sys, copy, types, time, re
from .Mo... | mirochajREPO_NAMEaresPATH_START.@ares_extracted@ares-main@ares@inference@FitGlobal21cm.py@.PATH_END.py |
{
"filename": "plot_tools.py",
"repo_name": "dartoon/galight",
"repo_path": "galight_extracted/galight-master/galight/tools/plot_tools.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Sep 16 20:28:10 2020
@author: Xuheng Ding
"""
import numpy as np
import matplotlib.pyplot as plt
import astropy.io.fits as pyfits
from matplotlib.colors import LogNorm
from galight.tools.measure_tools import SB_profile
import copy, matplotlib
from matp... | dartoonREPO_NAMEgalightPATH_START.@galight_extracted@galight-master@galight@tools@plot_tools.py@.PATH_END.py |
{
"filename": "tuner_utils.py",
"repo_name": "keras-team/keras-tuner",
"repo_path": "keras-tuner_extracted/keras-tuner-master/keras_tuner/engine/tuner_utils.py",
"type": "Python"
} | # Copyright 2019 The KerasTuner 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 ... | keras-teamREPO_NAMEkeras-tunerPATH_START.@keras-tuner_extracted@keras-tuner-master@keras_tuner@engine@tuner_utils.py@.PATH_END.py |
{
"filename": "_gradient.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatterternary/marker/_gradient.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class GradientValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="gradient", parent_name="scatterternary.marker", **kwargs
):
super(GradientValidator, self).__init__(
plotly_name=plotly_name,
pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatterternary@marker@_gradient.py@.PATH_END.py |
{
"filename": "MetaGalacticBackground.py",
"repo_name": "mirochaj/ares",
"repo_path": "ares_extracted/ares-main/ares/analysis/MetaGalacticBackground.py",
"type": "Python"
} | """
AnalyzeXray.py
Author: Jordan Mirocha
Affiliation: University of Colorado at Boulder
Created on: Tue Sep 18 13:36:56 2012
Description:
"""
import numpy as np
from ..util import labels
from ..util.Pickling import read_pickle_file
import matplotlib.pyplot as pl
from scipy.integrate import trapz
from ..util.ReadD... | mirochajREPO_NAMEaresPATH_START.@ares_extracted@ares-main@ares@analysis@MetaGalacticBackground.py@.PATH_END.py |
{
"filename": "networks.py",
"repo_name": "PabloVD/HaloGraphNet",
"repo_path": "HaloGraphNet_extracted/HaloGraphNet-master/Source/networks.py",
"type": "Python"
} | #----------------------------------------------------------------------
# Definition of the neural network architectures
# Author: Pablo Villanueva Domingo
# Last update: 10/11/21
#----------------------------------------------------------------------
import torch
from torch.nn import Sequential, Linear, ReLU, ModuleL... | PabloVDREPO_NAMEHaloGraphNetPATH_START.@HaloGraphNet_extracted@HaloGraphNet-master@Source@networks.py@.PATH_END.py |
{
"filename": "test_particle_generator.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/utilities/tests/test_particle_generator.py",
"type": "Python"
} | import numpy as np
from numpy.testing import assert_almost_equal, assert_equal
from yt.loaders import load_uniform_grid
from yt.units._numpy_wrapper_functions import uconcatenate
from yt.utilities.particle_generator import (
FromListParticleGenerator,
LatticeParticleGenerator,
WithDensityParticleGenerator,... | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@utilities@tests@test_particle_generator.py@.PATH_END.py |
{
"filename": "FitEPM.py",
"repo_name": "sPaMFouR/RedPipe",
"repo_path": "RedPipe_extracted/RedPipe-master/analysis/FitEPM.py",
"type": "Python"
} | ##########################################
## EPM Distance estimation of SN 2016gfy ##
##########################################
import numpy as np
import matplotlib.pyplot as plt
import subprocess
import scipy.optimize as optimize
from scipy.optimize import curve_fit
##########################################
## Par... | sPaMFouRREPO_NAMERedPipePATH_START.@RedPipe_extracted@RedPipe-master@analysis@FitEPM.py@.PATH_END.py |
{
"filename": "atanalysis.py",
"repo_name": "HiPERCAM/hipercam",
"repo_path": "hipercam_extracted/hipercam-master/hipercam/scripts/atanalysis.py",
"type": "Python"
} | import sys
import os
import re
import time
from trm import cline
from trm.cline import Cline
import hipercam as hcam
__all__ = [
"atanalysis",
]
###############################################################
#
# atanalysis -- runs tanalysis on a series of night directories
#
###################################... | HiPERCAMREPO_NAMEhipercamPATH_START.@hipercam_extracted@hipercam-master@hipercam@scripts@atanalysis.py@.PATH_END.py |
{
"filename": "aux.py",
"repo_name": "shergreen/SatGen",
"repo_path": "SatGen_extracted/SatGen-master/aux.py",
"type": "Python"
} | #########################################################################
# Auxiliary functions.
# Arthur Fangzhou Jiang 2019 Hebrew University
# Sheridan Beckwith Green 2020 Yale University
#########################################################################
import config as cfg
import numpy as np
import sys... | shergreenREPO_NAMESatGenPATH_START.@SatGen_extracted@SatGen-master@aux.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "astropy/astroquery",
"repo_path": "astroquery_extracted/astroquery-main/astroquery/vo_conesearch/__init__.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from astropy import config as _config
class Conf(_config.ConfigNamespace):
"""
Configuration parameters for `astroquery.vo_conesearch`.
"""
# Config related to remote database of "reliable" services.
vos_baseurl = _config.ConfigItem(... | astropyREPO_NAMEastroqueryPATH_START.@astroquery_extracted@astroquery-main@astroquery@vo_conesearch@__init__.py@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "hongwanliu/DarkHistory",
"repo_path": "DarkHistory_extracted/DarkHistory-master/darkhistory/nntf/utils.py",
"type": "Python"
} | """ Utilities for Neural Network transfer functions.
"""
import numpy as np
####################
### CONSTANTS
EPSILON = 1e-100
LOG_EPSILON = np.log(EPSILON)
XMAX = (np.tanh(+4)+1)/2
XMIN = (np.tanh(-5)+1)/2
RS_NODES = [40, 1600]
####################
### UTILITIES
def scale_to_E(eng, N, i_st, i_ed, E_target):
... | hongwanliuREPO_NAMEDarkHistoryPATH_START.@DarkHistory_extracted@DarkHistory-master@darkhistory@nntf@utils.py@.PATH_END.py |
{
"filename": "_marker.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/violin/selected/_marker.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Marker(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "violin.selected"
_path_str = "violin.selected.marker"
_valid_props = {"color", "opacity", "s... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@violin@selected@_marker.py@.PATH_END.py |
{
"filename": "cache_key.py",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/jax/_src/cache_key.py",
"type": "Python"
} | # Copyright 2023 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... | googleREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@_src@cache_key.py@.PATH_END.py |
{
"filename": "extension.py",
"repo_name": "davidharvey1986/pyRRG",
"repo_path": "pyRRG_extracted/pyRRG-master/unittests/bugFixPyRRG/lib/python3.7/site-packages/setuptools/extension.py",
"type": "Python"
} | import re
import functools
import distutils.core
import distutils.errors
import distutils.extension
from setuptools.extern.six.moves import map
from .monkey import get_unpatched
def _have_cython():
"""
Return True if Cython can be imported.
"""
cython_impl = 'Cython.Distutils.build_ext'
try:
... | davidharvey1986REPO_NAMEpyRRGPATH_START.@pyRRG_extracted@pyRRG-master@unittests@bugFixPyRRG@lib@python3.7@site-packages@setuptools@extension.py@.PATH_END.py |
{
"filename": "Container.py",
"repo_name": "ACS-Community/ACS",
"repo_path": "ACS_extracted/ACS-master/LGPL/CommonSoftware/acspy/src/Acspy/Container.py",
"type": "Python"
} | # @(#) $Id: Container.py,v 1.59 2012/06/21 15:24:08 acaproni Exp $
#
# Copyright (C) 2001
# Associated Universities, Inc. Washington DC, USA.
#
# Produced for the ALMA project
#
# This library is free software; you can redistribute it and/or modify it under
# the terms of the GNU Library General Public License as publi... | ACS-CommunityREPO_NAMEACSPATH_START.@ACS_extracted@ACS-master@LGPL@CommonSoftware@acspy@src@Acspy@Container.py@.PATH_END.py |
{
"filename": "layers.py",
"repo_name": "keras-team/keras",
"repo_path": "keras_extracted/keras-master/keras/src/legacy/layers.py",
"type": "Python"
} | """Legacy Keras 1/2 layers.
AlphaDropout
RandomHeight
RandomWidth
ThresholdedReLU
"""
from keras.src import backend
from keras.src.api_export import keras_export
from keras.src.layers.layer import Layer
from keras.src.utils.module_utils import tensorflow as tf
@keras_export("keras._legacy.layers.AlphaDropout")
clas... | keras-teamREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@legacy@layers.py@.PATH_END.py |
{
"filename": "test_template_model.py",
"repo_name": "threeML/astromodels",
"repo_path": "astromodels_extracted/astromodels-master/astromodels/tests/test_template_model.py",
"type": "Python"
} | from __future__ import division, print_function
import os
import shutil
from pathlib import Path
import numpy as np
import numpy.testing as npt
import pytest
import pickle
from astromodels import Model, PointSource, clone_model, load_model
from astromodels.functions import (
Band,
Powerlaw,
TemplateModel... | threeMLREPO_NAMEastromodelsPATH_START.@astromodels_extracted@astromodels-master@astromodels@tests@test_template_model.py@.PATH_END.py |
{
"filename": "default_session.md",
"repo_name": "andycasey/smhr",
"repo_path": "smhr_extracted/smhr-master/default_session.md",
"type": "Markdown"
} | Default SMH settings file
-------------------------
This file will be shipped with SMH, but can be edited by the user.
# The `rv` settings that end up getting used will go into the data model for that `Session` object.
- `rv`
- `wavelength_regions`: A list giving (start, end) regions preferred for the cross-correla... | andycaseyREPO_NAMEsmhrPATH_START.@smhr_extracted@smhr-master@default_session.md@.PATH_END.py |
{
"filename": "_tickmode.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/bar/marker/colorbar/_tickmode.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="tickmode", parent_name="bar.marker.colorbar", **kwargs
):
super(TickmodeValidator, self).__init__(
plotly_name=plotly_name,
pa... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@bar@marker@colorbar@_tickmode.py@.PATH_END.py |
{
"filename": "tPyDpInfo.py",
"repo_name": "lofar-astron/DP3",
"repo_path": "DP3_extracted/DP3-master/pythondp3/test/unit/tPyDpInfo.py",
"type": "Python"
} | # Copyright (C) 2022 ASTRON (Netherlands Institute for Radio Astronomy)
# SPDX-License-Identifier: GPL-3.0-or-later
"""
These tests check that the python bindings for the DPInfo class behave correctly.
This script can be invoked in two ways:
- as standalone from the build/pythondp3/test/integration directory,
using... | lofar-astronREPO_NAMEDP3PATH_START.@DP3_extracted@DP3-master@pythondp3@test@unit@tPyDpInfo.py@.PATH_END.py |
{
"filename": "ipaddress.py",
"repo_name": "davidharvey1986/pyRRG",
"repo_path": "pyRRG_extracted/pyRRG-master/unittests/bugFixPyRRG/lib/python3.7/site-packages/pip/_vendor/ipaddress.py",
"type": "Python"
} | # Copyright 2007 Google Inc.
# Licensed to PSF under a Contributor Agreement.
"""A fast, lightweight IPv4/IPv6 manipulation library in Python.
This library is used to create/poke/manipulate IPv4 and IPv6 addresses
and networks.
"""
from __future__ import unicode_literals
import itertools
import struct
__version... | davidharvey1986REPO_NAMEpyRRGPATH_START.@pyRRG_extracted@pyRRG-master@unittests@bugFixPyRRG@lib@python3.7@site-packages@pip@_vendor@ipaddress.py@.PATH_END.py |
{
"filename": "Kurucz4.py",
"repo_name": "exoclime/HELIOS-K",
"repo_path": "HELIOS-K_extracted/HELIOS-K-master/Kurucz4.py",
"type": "Python"
} | import numpy as np
import math
import struct
import os
import argparse
# This script produces the binary and *.param files for HELIOS-K
# It also calculates the natural broadening coefficients
# Date: June 2020
# Author: Simon Grimm
filename="gfallwn08oct17.dat"
elt0=[
[ 100, "H" , 1.00794],
[ 200, "He" , 4.00... | exoclimeREPO_NAMEHELIOS-KPATH_START.@HELIOS-K_extracted@HELIOS-K-master@Kurucz4.py@.PATH_END.py |
{
"filename": "test_transferfunction.py",
"repo_name": "gwpy/gwpy",
"repo_path": "gwpy_extracted/gwpy-main/gwpy/cli/tests/test_transferfunction.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# Copyright (C) Evan Goetz (2021)
#
# This file is part of GWpy.
#
# GWpy is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any late... | gwpyREPO_NAMEgwpyPATH_START.@gwpy_extracted@gwpy-main@gwpy@cli@tests@test_transferfunction.py@.PATH_END.py |
{
"filename": "FAQs.ipynb",
"repo_name": "natashabatalha/picaso",
"repo_path": "picaso_extracted/picaso-master/docs/notebooks/FAQs.ipynb",
"type": "Jupyter Notebook"
} | ```python
import warnings
warnings.filterwarnings('ignore')
import numpy as np
#picaso
from picaso import justdoit as jdi
from picaso import justplotit as jpi
from bokeh.io import output_notebook
output_notebook()
```
# How do I load in target properties from Exo.Mast?
```python
nexsci = jdi.all_planets()
```
```... | natashabatalhaREPO_NAMEpicasoPATH_START.@picaso_extracted@picaso-master@docs@notebooks@FAQs.ipynb@.PATH_END.py |
{
"filename": "test_openai_functions.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/tests/unit_tests/runnables/test_openai_functions.py",
"type": "Python"
} | from typing import Any, List, Optional
from langchain_core.callbacks.manager import CallbackManagerForLLMRun
from langchain_core.language_models.chat_models import BaseChatModel
from langchain_core.messages import AIMessage, BaseMessage
from langchain_core.outputs import ChatGeneration, ChatResult
from pytest_mock imp... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@tests@unit_tests@runnables@test_openai_functions.py@.PATH_END.py |
{
"filename": "trainer.py",
"repo_name": "fchollet/keras",
"repo_path": "keras_extracted/keras-master/keras/src/trainers/trainer.py",
"type": "Python"
} | import inspect
import platform
import warnings
from keras.src import backend
from keras.src import metrics as metrics_module
from keras.src import ops
from keras.src import optimizers
from keras.src import tree
from keras.src.optimizers.loss_scale_optimizer import LossScaleOptimizer
from keras.src.saving import serial... | fcholletREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@trainers@trainer.py@.PATH_END.py |
{
"filename": "Vcirc_threshold.py",
"repo_name": "franciscovillaescusa/Pylians",
"repo_path": "Pylians_extracted/Pylians-master/HI_Illustris/HI_mass/HI_SO/Vcirc_threshold.py",
"type": "Python"
} | import numpy as np
import sys,os,h5py
import units_library as UL
# This routine returns the circular velocity of a halo of mass M at redshift z
def Vcirc(M,z,Omega_m,Omega_l):
x = Omega_m*(1.0+z)**3/(Omega_m*(1.0+z)**3 + Omega_l) - 1.0
delta_c = 18*np.pi**2 + 82.0*x - 39.0*x**2
rho_crit_z = rho_crit*(Ome... | franciscovillaescusaREPO_NAMEPyliansPATH_START.@Pylians_extracted@Pylians-master@HI_Illustris@HI_mass@HI_SO@Vcirc_threshold.py@.PATH_END.py |
{
"filename": "galaxy_mask.py",
"repo_name": "schlafly/crowdsource",
"repo_path": "crowdsource_extracted/crowdsource-master/crowdsource/galaxy_mask.py",
"type": "Python"
} | import warnings
from astropy.io import fits
from astropy.utils.exceptions import AstropyWarning
from astropy.modeling.models import Ellipse2D
from astropy.wcs import Wcsprm, WCS
from astropy.coordinates import SkyCoord
import numpy as np
import os
if 'DECAM_DIR' not in os.environ:
decam_dir = os.path.join(os.path.... | schlaflyREPO_NAMEcrowdsourcePATH_START.@crowdsource_extracted@crowdsource-master@crowdsource@galaxy_mask.py@.PATH_END.py |
{
"filename": "_bordercolor.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/histogram2dcontour/hoverlabel/_bordercolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self,
plotly_name="bordercolor",
parent_name="histogram2dcontour.hoverlabel",
**kwargs,
):
super(BordercolorValidator, self).__init__(
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@histogram2dcontour@hoverlabel@_bordercolor.py@.PATH_END.py |
{
"filename": "images.py",
"repo_name": "jkrogager/PyNOT",
"repo_path": "PyNOT_extracted/PyNOT-master/pynot/images.py",
"type": "Python"
} | import numpy as np
from astropy.io import fits
import operator
from scipy.interpolate import RegularGridInterpolator
from pynot.fitsio import load_fits_image
class FitsImage:
def __init__(self, data, error=None, mask=None, header=None):
self.data = data
self.x = np.arange(data.shape[1])
s... | jkrogagerREPO_NAMEPyNOTPATH_START.@PyNOT_extracted@PyNOT-master@pynot@images.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/jax/_src/extend/__init__.py",
"type": "Python"
} | # Copyright 2023 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... | googleREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@_src@extend@__init__.py@.PATH_END.py |
{
"filename": "Neural_Network_and_Data_Loading.md",
"repo_name": "jax-ml/jax",
"repo_path": "jax_extracted/jax-main/docs/notebooks/Neural_Network_and_Data_Loading.md",
"type": "Markdown"
} | ---
jupytext:
formats: ipynb,md:myst
text_representation:
extension: .md
format_name: myst
format_version: 0.13
jupytext_version: 1.16.4
kernelspec:
display_name: Python 3
language: python
name: python3
---
+++ {"id": "18AF5Ab4p6VL"}
# Training a simple neural network, with PyTorch data load... | jax-mlREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@docs@notebooks@Neural_Network_and_Data_Loading.md@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "sfarrens/sf_deconvolve",
"repo_path": "sf_deconvolve_extracted/sf_deconvolve-master/docs/source/conf.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
#
# sf_deconvolve documentation build configuration file, created by
# sphinx-quickstart on Tue Mar 14 14:39:12 2017.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.... | sfarrensREPO_NAMEsf_deconvolvePATH_START.@sf_deconvolve_extracted@sf_deconvolve-master@docs@source@conf.py@.PATH_END.py |
{
"filename": "weak_tensor_special_math_ops_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/ops/weak_tensor_special_math_ops_test.py",
"type": "Python"
} | # Copyright 2023 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@ops@weak_tensor_special_math_ops_test.py@.PATH_END.py |
{
"filename": "api_implementation.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/protobuf/py3/google/protobuf/internal/api_implementation.py",
"type": "Python"
} | # Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redi... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@protobuf@py3@google@protobuf@internal@api_implementation.py@.PATH_END.py |
{
"filename": "convsyn.py",
"repo_name": "hmtabernero/SteParSyn",
"repo_path": "SteParSyn_extracted/SteParSyn-main/convsyn.py",
"type": "Python"
} | #!/usr/bin/python3
# 2-CLAUSE BSD LICENCE
#Copyright 2015-2021 Hugo Tabernero, Jonay Gonzalez Hernandez, Emilio Marfil, and David Montes
#Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
#1. Redistributions of source code must... | hmtaberneroREPO_NAMESteParSynPATH_START.@SteParSyn_extracted@SteParSyn-main@convsyn.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "OSSOS/SurveySimulator",
"repo_path": "SurveySimulator_extracted/SurveySimulator-master/README.md",
"type": "Markdown"
} |
## Survey Simulator 2.0 Documentation
The Survey Simulator (sometimes compiled as `Driver` or `SSim` or `SurveySimulator`) takes a model of
the orbits and physical parameters of objects in the outer solar system and determines which model objects a
particular survey would detect and track.
The user provides the... | OSSOSREPO_NAMESurveySimulatorPATH_START.@SurveySimulator_extracted@SurveySimulator-master@README.md@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/parcats/line/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._colorbar import ColorBar
from . import colorbar
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [".colorbar"], ["._colorbar.Col... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@parcats@line@__init__.py@.PATH_END.py |
{
"filename": "polymorphic_function_test_cpu_only.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/eager/polymorphic_function/polymorphic_function_test_cpu_only.py",
"type": "Python"
} | # Copyright 2020 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@eager@polymorphic_function@polymorphic_function_test_cpu_only.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "cmateu/PyMGC3",
"repo_path": "PyMGC3_extracted/PyMGC3-master/setup.py",
"type": "Python"
} | import os
import sys
import re
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
setup(
name='PyMGC3',
version='1.0.0',
author='C. Mateu',
author_email='cmateu@fisica.edu.uy',
packages=['bovy_coords','mgc3_lib','myutils'],
scripts=['bin/mgc3.py','bin/m... | cmateuREPO_NAMEPyMGC3PATH_START.@PyMGC3_extracted@PyMGC3-master@setup.py@.PATH_END.py |
{
"filename": "cubeshow.py",
"repo_name": "psheehan/pdspy",
"repo_path": "pdspy_extracted/pdspy-master/pdspy/plotting/cubeshow.py",
"type": "Python"
} | from matplotlib.widgets import Slider, Button, RadioButtons
import matplotlib.pyplot as plt
"""
Display a 3d ndarray with a slider to move along the third dimension.
Extra keyword arguments are passed to imshow
Original from here: http://nbarbey.github.io/2011/07/08/matplotlib-slider.html
"""
def cubeshow(cube, axi... | psheehanREPO_NAMEpdspyPATH_START.@pdspy_extracted@pdspy-master@pdspy@plotting@cubeshow.py@.PATH_END.py |
{
"filename": "session_vars.py",
"repo_name": "fred3m/toyz",
"repo_path": "toyz_extracted/toyz-master/toyz/web/session_vars.py",
"type": "Python"
} | """
Empty module used to store variables shared in a single Toyz session (websocket connection).
""" | fred3mREPO_NAMEtoyzPATH_START.@toyz_extracted@toyz-master@toyz@web@session_vars.py@.PATH_END.py |
{
"filename": "create_integrations_cards.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/docs/integrations/create_integrations_cards.py",
"type": "Python"
} | """Script to generate the integrations (formerly integrations) catalog table"""
import glob
from pathlib import Path
import mkdocs_gen_files
import yaml
from jinja2 import Environment, FileSystemLoader, select_autoescape
with mkdocs_gen_files.open("./integrations/index.md", "w") as markdown_file:
# Get file path... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@docs@integrations@create_integrations_cards.py@.PATH_END.py |
{
"filename": "_sector.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/polar/_sector.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SectorValidator(_plotly_utils.basevalidators.InfoArrayValidator):
def __init__(self, plotly_name="sector", parent_name="layout.polar", **kwargs):
super(SectorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@polar@_sector.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/tests/__init__.py",
"type": "Python"
} | def setup_package():
pass
def teardown_package():
pass
| plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@tests@__init__.py@.PATH_END.py |
{
"filename": "_tickangle.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/splom/marker/colorbar/_tickangle.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickangleValidator(_plotly_utils.basevalidators.AngleValidator):
def __init__(
self, plotly_name="tickangle", parent_name="splom.marker.colorbar", **kwargs
):
super(TickangleValidator, self).__init__(
plotly_name=plotly_name,
pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@splom@marker@colorbar@_tickangle.py@.PATH_END.py |
{
"filename": "table_rowfree.md",
"repo_name": "jbroll/starbase",
"repo_path": "starbase_extracted/starbase-master/docs/table_rowfree.md",
"type": "Markdown"
} |
### table_rowfree - release memory of the row structures when done.
SYNOPSIS
--------
```
#include <../tablelib/table.h>
void table_rowfree(TableRow row);
```
PARAMETERS
----------
* `"TableRow` row" - table row to be done with.
DESCRIPTION
-----------
#
SEE ALSO
--------
[table_colval](table_colval.h... | jbrollREPO_NAMEstarbasePATH_START.@starbase_extracted@starbase-master@docs@table_rowfree.md@.PATH_END.py |
{
"filename": "test_figure_factory.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/tests/test_optional/test_figure_factory/test_figure_factory.py",
"type": "Python"
} | from unittest import TestCase
from plotly import optional_imports
from plotly.graph_objs import graph_objs as go
from plotly.exceptions import PlotlyError
import plotly.io as pio
import plotly.figure_factory as ff
from plotly.tests.test_optional.optional_utils import NumpyTestUtilsMixin
from plotly.tests.test_optional... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@tests@test_optional@test_figure_factory@test_figure_factory.py@.PATH_END.py |
{
"filename": "test_astrosat.py",
"repo_name": "neuromorphicsystems/astrometry",
"repo_path": "astrometry_extracted/astrometry-main/test/test_astrosat.py",
"type": "Python"
} | import astrometry
import json
import logging
import pathlib
dirname = pathlib.Path(__file__).resolve().parent
logging.getLogger().setLevel(logging.INFO)
solver = astrometry.Solver(
astrometry.series_5000.index_files(
cache_directory=dirname / "astrometry_cache",
scales={5},
)
)
with open(dir... | neuromorphicsystemsREPO_NAMEastrometryPATH_START.@astrometry_extracted@astrometry-main@test@test_astrosat.py@.PATH_END.py |
{
"filename": "compute_formation_temperature.py",
"repo_name": "palumbom/GRASS",
"repo_path": "GRASS_extracted/GRASS-main/scripts/compute_formation_temperature.py",
"type": "Python"
} | """
ORIGINAL AUTHOR : Khaled Al Moulla
DATE : 2023-03-16
MODIFIED BY: Michael Palumbo
Compute line formation temperature with PySME.
"""
#%% MODULES
import os
import pdb
import glob
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from pysme import sme as SME
from pysme.abund import Abund
fro... | palumbomREPO_NAMEGRASSPATH_START.@GRASS_extracted@GRASS-main@scripts@compute_formation_temperature.py@.PATH_END.py |
{
"filename": "gapfill.py",
"repo_name": "simonsobs/sotodlib",
"repo_path": "sotodlib_extracted/sotodlib-master/sotodlib/tod_ops/gapfill.py",
"type": "Python"
} | import numpy as np
import so3g
from . import pca
import logging
logger = logging.getLogger(__name__)
class Extract:
"""Container for storage of sparse sub-segments of a vector. This
ties together a Ranges object and a data array with the same
length as the total length of the Ranges segments.
This i... | simonsobsREPO_NAMEsotodlibPATH_START.@sotodlib_extracted@sotodlib-master@sotodlib@tod_ops@gapfill.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/choroplethmapbox/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._colorbar import ColorBar
from ._hoverlabel import Hoverlabel
from ._legendgrouptitle import Legendgrouptitle
from ._marker import Marker
from ._selected import Selected
from ._stream import Stream
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@choroplethmapbox@__init__.py@.PATH_END.py |
{
"filename": "name_scope_test.py",
"repo_name": "keras-team/keras",
"repo_path": "keras_extracted/keras-master/keras/src/backend/common/name_scope_test.py",
"type": "Python"
} | from keras.src import testing
from keras.src.backend.common.name_scope import current_path
from keras.src.backend.common.name_scope import name_scope
class NameScopeTest(testing.TestCase):
def test_stacking(self):
self.assertEqual(current_path(), "")
with name_scope("outer") as outer:
... | keras-teamREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@backend@common@name_scope_test.py@.PATH_END.py |
{
"filename": "calfits.py",
"repo_name": "RadioAstronomySoftwareGroup/pyuvdata",
"repo_path": "pyuvdata_extracted/pyuvdata-main/src/pyuvdata/uvcal/calfits.py",
"type": "Python"
} | # Copyright (c) 2018 Radio Astronomy Software Group
# Licensed under the 2-clause BSD License
"""Class for reading and writing calibration FITS files."""
import os
import warnings
import numpy as np
from astropy import units
from astropy.coordinates import EarthLocation
from astropy.io import fits
from docstring_pars... | RadioAstronomySoftwareGroupREPO_NAMEpyuvdataPATH_START.@pyuvdata_extracted@pyuvdata-main@src@pyuvdata@uvcal@calfits.py@.PATH_END.py |
{
"filename": "distances.ipynb",
"repo_name": "GuillermoFrancoAbellan/class_clumpy",
"repo_path": "class_clumpy_extracted/class_clumpy-main/notebooks/distances.ipynb",
"type": "Jupyter Notebook"
} | ```python
# import necessary modules
# uncomment to get plots displayed in notebook
%matplotlib inline
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
from classy import Class
```
```python
font = {'size' : 20, 'family':'STIXGeneral'}
axislabelfontsize='large'
matplotlib.rc('font', **font)
matp... | GuillermoFrancoAbellanREPO_NAMEclass_clumpyPATH_START.@class_clumpy_extracted@class_clumpy-main@notebooks@distances.ipynb@.PATH_END.py |
{
"filename": "data_structure.py",
"repo_name": "AWehrhahn/SME",
"repo_path": "SME_extracted/SME-master/src/pysme/data_structure.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import logging
from copy import copy
from multiprocessing.sharedctypes import Value
import numpy as np
import pybtex
from flex.extensions.bindata import MultipleDataExtension
from flex.flex import FlexExtension
from . import __file_ending__, __version__, persistence
from .iliffe_vector import ... | AWehrhahnREPO_NAMESMEPATH_START.@SME_extracted@SME-master@src@pysme@data_structure.py@.PATH_END.py |
{
"filename": "smooth_cal_inspect_2458096.ipynb",
"repo_name": "HERA-Team/H1C_IDR3_Notebooks",
"repo_path": "H1C_IDR3_Notebooks-main/smooth_cal_inspect/smooth_cal_inspect_2458096.ipynb",
"type": "Jupyter Notebook"
} | # Stage 2 Calibration Smoothing Nightly Notebook
**Josh Dillon**, Last Revised 12/4/20
```python
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
from hera_cal import io, redcal, apply_cal, abscal, utils
from hera_cal.smooth_cal import build_time_blacklist
from hera_qm.metrics_io import load_metr... | HERA-TeamREPO_NAMEH1C_IDR3_NotebooksPATH_START.@H1C_IDR3_Notebooks-main@smooth_cal_inspect@smooth_cal_inspect_2458096.ipynb@.PATH_END.py |
{
"filename": "stata_dark.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pygments/py2/pygments/styles/stata_dark.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
pygments.styles.stata_dark
~~~~~~~~~~~~~~~~~~~~~~~~~~
Dark style inspired by Stata's do-file editor. Note this is not
meant to be a complete style, just for Stata's file formats.
:copyright: Copyright 2006-2019 by the Pygments team, see AUTHORS.
:license: BSD, see ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pygments@py2@pygments@styles@stata_dark.py@.PATH_END.py |
{
"filename": "_core.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/express/_core.py",
"type": "Python"
} | import plotly.graph_objs as go
import plotly.io as pio
from collections import namedtuple, OrderedDict
from ._special_inputs import IdentityMap, Constant, Range
from _plotly_utils.basevalidators import ColorscaleValidator
from plotly.colors import qualitative, sequential
import math
import pandas as pd
import numpy as... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@express@_core.py@.PATH_END.py |
{
"filename": "_text.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/histogram/marker/colorbar/title/_text.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="text",
parent_name="histogram.marker.colorbar.title",
**kwargs
):
super(TextValidator, self).__init__(
plotly_name=plotly_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@histogram@marker@colorbar@title@_text.py@.PATH_END.py |
{
"filename": "modifier_test.py",
"repo_name": "alibaba/TinyNeuralNetwork",
"repo_path": "TinyNeuralNetwork_extracted/TinyNeuralNetwork-main/tests/modifier_test.py",
"type": "Python"
} | import os
import unittest
import torch
import torch.nn as nn
from tinynn.converter import TFLiteConverter
from tinynn.graph.modifier import is_dw_conv
from tinynn.graph.modifier import (
GraphChannelModifier,
fill_tensor_by_dim_changes,
calc_dim_changes,
calc_dim_constraint,
merge_group,
merge... | alibabaREPO_NAMETinyNeuralNetworkPATH_START.@TinyNeuralNetwork_extracted@TinyNeuralNetwork-main@tests@modifier_test.py@.PATH_END.py |
{
"filename": "test_library.py",
"repo_name": "ledatelescope/bifrost",
"repo_path": "bifrost_extracted/bifrost-master/test/test_library.py",
"type": "Python"
} | import unittest
from bifrost.libbifrost_generated import bfTestSuite
class TestLibrary(unittest.TestCase):
def test_library(self):
self.assertEqual(bfTestSuite(), 0)
| ledatelescopeREPO_NAMEbifrostPATH_START.@bifrost_extracted@bifrost-master@test@test_library.py@.PATH_END.py |
{
"filename": "primitives_image.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/geminidr/core/primitives_image.py",
"type": "Python"
} | #
# gemini_python
#
# primitives_image.py
# ------------------------------------------------------------------------------
import numpy as np
from copy import copy, deepcopy
from itertools import ... | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@geminidr@core@primitives_image.py@.PATH_END.py |
{
"filename": "generate_png.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/GalfitModule/Utilities/generate_png.py",
"type": "Python"
} | from joblib import Parallel, delayed
import joblib
import os
import argparse
from os.path import join as pj
from os.path import abspath as absp
import sys
_HOME_DIR = os.path.expanduser("~")
try:
_SPARCFIRE_DIR = os.environ["SPARCFIRE_HOME"]
_MODULE_DIR = pj(_SPARCFIRE_DIR, "GalfitModule")
except KeyError:
... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@GalfitModule@Utilities@generate_png.py@.PATH_END.py |
{
"filename": "_shadowsrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatterpolar/textfont/_shadowsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShadowsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="shadowsrc", parent_name="scatterpolar.textfont", **kwargs
):
super(ShadowsrcValidator, self).__init__(
plotly_name=plotly_name,
pare... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatterpolar@textfont@_shadowsrc.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "pytorch/vision",
"repo_path": "vision_extracted/vision-main/references/segmentation/README.md",
"type": "Markdown"
} | # Semantic segmentation reference training scripts
This folder contains reference training scripts for semantic segmentation.
They serve as a log of how to train specific models and provide baseline
training and evaluation scripts to quickly bootstrap research.
All models have been trained on 8x V100 GPUs.
You must ... | pytorchREPO_NAMEvisionPATH_START.@vision_extracted@vision-main@references@segmentation@README.md@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/packages/amuse-galaxia/README.md",
"type": "Markdown"
} | This package installs the Galaxia community code for AMUSE.
| amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@packages@amuse-galaxia@README.md@.PATH_END.py |
{
"filename": "build-model-interface-static-old-artifacts.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/_includes/work_src/reusage-installation/build-model-interface-static-old-artifacts.md",
"type": "Markdown"
} | - `liblibcatboostmodel.o`. This part contains symbols that require forced initialization.
- `libcatboostmodel.a`. This part contains all other symbols. | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@_includes@work_src@reusage-installation@build-model-interface-static-old-artifacts.md@.PATH_END.py |
{
"filename": "fit_neural_net.py",
"repo_name": "arjunsavel/cortecs",
"repo_path": "cortecs_extracted/cortecs-main/src/cortecs/fit/fit_neural_net.py",
"type": "Python"
} | """
Trains a neural network to fit the opacity data.
"""
import pickle
import warnings # optional import handling should raise a warning instead of an error
import numpy as np
try:
import keras
import tensorflow as tf
from tensorflow.keras import layers
except ModuleNotFoundError:
warnings.warn(
... | arjunsavelREPO_NAMEcortecsPATH_START.@cortecs_extracted@cortecs-main@src@cortecs@fit@fit_neural_net.py@.PATH_END.py |
{
"filename": "getB_raytrace.py",
"repo_name": "lofar-astron/RMextract",
"repo_path": "RMextract_extracted/RMextract-master/examples/getB_raytrace.py",
"type": "Python"
} | from datetime import date
import numpy as np
import RMextract.getIONEX as ionex
import RMextract.PosTools as PosTools
import RMextract.pyiri.pyiri as pyiri
from RMextract.EMM import EMM as EMM
def getPParray(pointing,time,position,height_array):
az,el = PosTools.getAzEl(pointing,time,position)
lonlat=PosToo... | lofar-astronREPO_NAMERMextractPATH_START.@RMextract_extracted@RMextract-master@examples@getB_raytrace.py@.PATH_END.py |
{
"filename": "conv_test.py",
"repo_name": "google/flax",
"repo_path": "flax_extracted/flax-main/tests/nnx/nn/conv_test.py",
"type": "Python"
} | # Copyright 2024 The Flax 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | googleREPO_NAMEflaxPATH_START.@flax_extracted@flax-main@tests@nnx@nn@conv_test.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattergl/marker/line/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._widthsrc import WidthsrcValidator
from ._width import WidthValidator
from ._reversescale import ReversescaleValidator
from ._colorsrc import ColorsrcValidator
from ._colorscale import ColorscaleValidat... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattergl@marker@line@__init__.py@.PATH_END.py |
{
"filename": "test_shapelets_ellipse.py",
"repo_name": "lenstronomy/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/test/test_LightModel/test_Profiles/test_shapelets_ellipse.py",
"type": "Python"
} | import copy
import numpy as np
import numpy.testing as npt
from lenstronomy.LightModel.Profiles.shapelets_ellipse import ShapeletSetEllipse
from lenstronomy.LightModel.Profiles.shapelets import ShapeletSet
from lenstronomy.Util import param_util, util
class TestShapeletSetEllipse(object):
def setup_method(self, m... | lenstronomyREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@test@test_LightModel@test_Profiles@test_shapelets_ellipse.py@.PATH_END.py |
{
"filename": "syncFit.py",
"repo_name": "sczesla/PyAstronomy",
"repo_path": "PyAstronomy_extracted/PyAstronomy-master/src/funcFit/syncFit.py",
"type": "Python"
} | from __future__ import print_function, division
import copy
import re
import numpy
from PyAstronomy.pyaC import pyaErrors as PE
from .onedfit import MiniFunc
from .params import equal
from .onedfit import _PyMCSampler, _OndeDFitParBase
from .nameIdentBase import ModelNameIdentBase
from PyAstronomy import pyaC
import s... | sczeslaREPO_NAMEPyAstronomyPATH_START.@PyAstronomy_extracted@PyAstronomy-master@src@funcFit@syncFit.py@.PATH_END.py |
{
"filename": "brightness.py",
"repo_name": "dstndstn/tractor",
"repo_path": "tractor_extracted/tractor-main/tractor/brightness.py",
"type": "Python"
} | import numpy as np
from tractor.utils import ScalarParam, ParamList, BaseParams, getClassName
from tractor import ducks
class Mag(ScalarParam):
'''
An implementation of `Brightness` that stores a single magnitude.
'''
stepsize = -0.01
strformat = '%.3f'
class Flux(ScalarParam):
'''
A `Br... | dstndstnREPO_NAMEtractorPATH_START.@tractor_extracted@tractor-main@tractor@brightness.py@.PATH_END.py |
{
"filename": "test_checks.py",
"repo_name": "PlasmaPy/PlasmaPy",
"repo_path": "PlasmaPy_extracted/PlasmaPy-main/tests/utils/decorators/test_checks.py",
"type": "Python"
} | """
Tests for 'check` decorators (i.e. decorators that only check objects but do not
change them).
"""
import inspect
from types import LambdaType
from typing import Any
from unittest import mock
import astropy.units as u
import numpy as np
import pytest
from astropy.constants import c
from plasmapy.utils.decorators... | PlasmaPyREPO_NAMEPlasmaPyPATH_START.@PlasmaPy_extracted@PlasmaPy-main@tests@utils@decorators@test_checks.py@.PATH_END.py |
{
"filename": "random_initializers.py",
"repo_name": "keras-team/keras",
"repo_path": "keras_extracted/keras-master/keras/src/initializers/random_initializers.py",
"type": "Python"
} | import math
from keras.src import ops
from keras.src.api_export import keras_export
from keras.src.backend import random
from keras.src.initializers.initializer import Initializer
from keras.src.saving import serialization_lib
class RandomInitializer(Initializer):
def __init__(self, seed=None):
self._ini... | keras-teamREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@initializers@random_initializers.py@.PATH_END.py |
{
"filename": "image.py",
"repo_name": "fchollet/keras",
"repo_path": "keras_extracted/keras-master/keras/src/backend/numpy/image.py",
"type": "Python"
} | import jax
import ml_dtypes
import numpy as np
from keras.src import backend
from keras.src.backend.numpy.core import convert_to_tensor
from keras.src.utils.module_utils import scipy
RESIZE_INTERPOLATIONS = (
"bilinear",
"nearest",
"lanczos3",
"lanczos5",
"bicubic",
)
def rgb_to_grayscale(images... | fcholletREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@backend@numpy@image.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "morpheus-project/morpheus",
"repo_path": "morpheus_extracted/morpheus-master/morpheus/core/__init__.py",
"type": "Python"
} | morpheus-projectREPO_NAMEmorpheusPATH_START.@morpheus_extracted@morpheus-master@morpheus@core@__init__.py@.PATH_END.py | |
{
"filename": "simulated_25_NF.ipynb",
"repo_name": "sosl/H-FISTA",
"repo_path": "H-FISTA_extracted/H-FISTA-main/simulated_25_NF.ipynb",
"type": "Jupyter Notebook"
} | ```python
# general packages
import numpy as np
import os
import sys
import inspect
# H-FISTA packages
currentdir = %pwd
parentdir = os.path.dirname(currentdir)
sys.path.insert(0, parentdir)
from lib import Residual
from fista import fista
from helpers import get_data
from lambda_loop import take_lambda_step, initi... | soslREPO_NAMEH-FISTAPATH_START.@H-FISTA_extracted@H-FISTA-main@simulated_25_NF.ipynb@.PATH_END.py |
{
"filename": "flash_attention.py",
"repo_name": "jax-ml/jax",
"repo_path": "jax_extracted/jax-main/jax/experimental/pallas/ops/tpu/flash_attention.py",
"type": "Python"
} | # Copyright 2023 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@experimental@pallas@ops@tpu@flash_attention.py@.PATH_END.py |
{
"filename": "progress_bar.py",
"repo_name": "blackjax-devs/blackjax",
"repo_path": "blackjax_extracted/blackjax-main/blackjax/progress_bar.py",
"type": "Python"
} | # Copyright 2020- The Blackjax 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | blackjax-devsREPO_NAMEblackjaxPATH_START.@blackjax_extracted@blackjax-main@blackjax@progress_bar.py@.PATH_END.py |
{
"filename": "test_ipdoctest.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/ipython/py2/IPython/testing/plugin/test_ipdoctest.py",
"type": "Python"
} | """Tests for the ipdoctest machinery itself.
Note: in a file named test_X, functions whose only test is their docstring (as
a doctest) and which have no test functionality of their own, should be called
'doctest_foo' instead of 'test_foo', otherwise they get double-counted (the
empty function call is counted as a test... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@ipython@py2@IPython@testing@plugin@test_ipdoctest.py@.PATH_END.py |
{
"filename": "annotate_max_batch_sizes_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/compiler/tensorrt/test/annotate_max_batch_sizes_test.py",
"type": "Python"
} | # Copyright 2020 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@compiler@tensorrt@test@annotate_max_batch_sizes_test.py@.PATH_END.py |
{
"filename": "_colorsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/violin/hoverlabel/font/_colorsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="colorsrc", parent_name="violin.hoverlabel.font", **kwargs
):
super(ColorsrcValidator, self).__init__(
plotly_name=plotly_name,
parent... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@violin@hoverlabel@font@_colorsrc.py@.PATH_END.py |
{
"filename": "_updatemenudefaults.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/_updatemenudefaults.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class UpdatemenudefaultsValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="updatemenudefaults", parent_name="layout", **kwargs
):
super(UpdatemenudefaultsValidator, self).__init__(
plotly_name=plotly_name,... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@_updatemenudefaults.py@.PATH_END.py |
{
"filename": "gui.py",
"repo_name": "IvS-KULeuven/IvSPythonRepository",
"repo_path": "IvSPythonRepository_extracted/IvSPythonRepository-master/gui/gui.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'gui.ui'
#
# Created by: PyQt5 UI code generator 5.6
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWindow.setO... | IvS-KULeuvenREPO_NAMEIvSPythonRepositoryPATH_START.@IvSPythonRepository_extracted@IvSPythonRepository-master@gui@gui.py@.PATH_END.py |
{
"filename": "demo_VEH_UAZBUS.py",
"repo_name": "projectchrono/chrono",
"repo_path": "chrono_extracted/chrono-main/src/demos/python/vehicle/demo_VEH_UAZBUS.py",
"type": "Python"
} | # =============================================================================
# PROJECT CHRONO - http://projectchrono.org
#
# Copyright (c) 2014 projectchrono.org
# All right reserved.
#
# Use of this source code is governed by a BSD-style license that can be found
# in the LICENSE file at the top level of the distri... | projectchronoREPO_NAMEchronoPATH_START.@chrono_extracted@chrono-main@src@demos@python@vehicle@demo_VEH_UAZBUS.py@.PATH_END.py |
{
"filename": "test_nulldetections.py",
"repo_name": "transientskp/tkp",
"repo_path": "tkp_extracted/tkp-master/tests/test_database/test_nulldetections.py",
"type": "Python"
} | import datetime
import itertools
import unittest
import tkp.db
from tkp.db import associations as dbass
from tkp.db import general as dbgen
from tkp.db import nulldetections as dbnd
from tkp.db.orm import DataSet
from tkp.testutil import db_subs
from tkp.testutil.decorators import requires_database
@requires_databa... | transientskpREPO_NAMEtkpPATH_START.@tkp_extracted@tkp-master@tests@test_database@test_nulldetections.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/doc/conf.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
#
# AMUSE documentation build configuration file, created by
# sphinx-quickstart on Tue Sep 29 13:22:44 2009.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All c... | amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@doc@conf.py@.PATH_END.py |
{
"filename": "modatm.py",
"repo_name": "astroChasqui/q2",
"repo_path": "q2_extracted/q2-master/modatm.py",
"type": "Python"
} | import matplotlib.pyplot as plt
import logging
from . import tools
import os
from .config import *
from scipy.integrate import simps
import numpy as np
from scipy.interpolate import griddata
logger = logging.getLogger(__name__)
def get_from_file(teff, logg, feh, grid):
"""Extracts a Kurucz or MARCS model atmosph... | astroChasquiREPO_NAMEq2PATH_START.@q2_extracted@q2-master@modatm.py@.PATH_END.py |
{
"filename": "awadb.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/vectorstores/awadb.py",
"type": "Python"
} | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.vectorstores import AwaDB
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
DEPRECATED_... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@vectorstores@awadb.py@.PATH_END.py |
{
"filename": "formatter.py",
"repo_name": "Caltech-IPAC/Montage",
"repo_path": "Montage_extracted/Montage-main/lib/src/freetype-2.5.4/src/tools/docmaker/formatter.py",
"type": "Python"
} | #
# formatter.py
#
# Convert parsed content blocks to a structured document (library file).
#
# Copyright 2002, 2004, 2007, 2008, 2014 by
# David Turner.
#
# This file is part of the FreeType project, and may only be used,
# modified, and distributed under the terms of the FreeType project
# license, LICENSE.T... | Caltech-IPACREPO_NAMEMontagePATH_START.@Montage_extracted@Montage-main@lib@src@freetype-2.5.4@src@tools@docmaker@formatter.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/icicle/pathbar/textfont/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._weightsrc import WeightsrcValidator
from ._weight import WeightValidator
from ._variantsrc import VariantsrcValidator
from ._variant import VariantValidator
from ._textcasesrc import TextcasesrcValidat... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@icicle@pathbar@textfont@__init__.py@.PATH_END.py |
{
"filename": "ttv_model_example.ipynb",
"repo_name": "hpparvi/PyTransit",
"repo_path": "PyTransit_extracted/PyTransit-master/notebooks/ttv_model_example.ipynb",
"type": "Jupyter Notebook"
} | # TTV model evaluation example
*Author: Hannu Parviainen*<br/>
*Last modified: 20.10.2020*
Evaluating the transit model for a planet whose transit center times deviate from a linear ephemeris is extremely simple in PyTransit. Each light curve (indexed by an array of light curve indices, `lcids`) can be given its own ... | hpparviREPO_NAMEPyTransitPATH_START.@PyTransit_extracted@PyTransit-master@notebooks@ttv_model_example.ipynb@.PATH_END.py |
{
"filename": "cpFilterScan.py",
"repo_name": "lsst/cp_pipe",
"repo_path": "cp_pipe_extracted/cp_pipe-main/python/lsst/cp/pipe/cpFilterScan.py",
"type": "Python"
} | # This file is part of cp_pipe.
#
# Developed for the LSST Data Management System.
# This product includes software developed by the LSST Project
# (https://www.lsst.org).
# See the COPYRIGHT file at the top-level directory of this distribution
# for details of code ownership.
#
# This program is free software: you can... | lsstREPO_NAMEcp_pipePATH_START.@cp_pipe_extracted@cp_pipe-main@python@lsst@cp@pipe@cpFilterScan.py@.PATH_END.py |
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