metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "sigpsingle.py",
"repo_name": "jpcoles/glass",
"repo_path": "glass_extracted/glass-master/glass/misc/sigpsingle.py",
"type": "Python"
} | import sys
sys.path.append('..')
from spherical_deproject import sigpsingle
from numpy import loadtxt
files = sys.argv[1:]
if not files:
dir = '/smaug/data/theorie/justin/Backup/Mylaptop/Scratch/Lensing/Cuspcore/CMerger1'
files.append(dir + '/cmerger_1_sigpx.txt')
for f in files:
data = loadtxt(f,
... | jpcolesREPO_NAMEglassPATH_START.@glass_extracted@glass-master@glass@misc@sigpsingle.py@.PATH_END.py |
{
"filename": "setup_d.py",
"repo_name": "mhammond/pywin32",
"repo_path": "pywin32_extracted/pywin32-main/win32/scripts/setup_d.py",
"type": "Python"
} | # Install and register pythonXX_d.dll, pywintypesXX_d.dll and pythoncomXX_d.dll
#
# Assumes the _d files can be found in the same directory as this script
# or in the cwd.
import os
import shutil
import sys
import winreg
import win32api
def usage_and_die(rc):
print()
print("This script is designed to copy a... | mhammondREPO_NAMEpywin32PATH_START.@pywin32_extracted@pywin32-main@win32@scripts@setup_d.py@.PATH_END.py |
{
"filename": "gp.py",
"repo_name": "pyro-ppl/numpyro",
"repo_path": "numpyro_extracted/numpyro-master/examples/gp.py",
"type": "Python"
} | # Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
"""
Example: Gaussian Process
=========================
In this example we show how to use NUTS to sample from the posterior
over the hyperparameters of a gaussian process.
.. image:: ../_static/img/examples/gp.png
:align: center... | pyro-pplREPO_NAMEnumpyroPATH_START.@numpyro_extracted@numpyro-master@examples@gp.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/bar/hoverlabel/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._font import Font
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@bar@hoverlabel@__init__.py@.PATH_END.py |
{
"filename": "0005_dbquery_queries.py",
"repo_name": "mavrix93/LightCurvesClassifier",
"repo_path": "LightCurvesClassifier_extracted/LightCurvesClassifier-master/lcc_web/web/interface/migrations/0005_dbquery_queries.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# Generated by Django 1.10 on 2017-03-15 09:21
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('interface', '0004_auto_20170313_1952'),
]
operations = [
migrations.AddField(... | mavrix93REPO_NAMELightCurvesClassifierPATH_START.@LightCurvesClassifier_extracted@LightCurvesClassifier-master@lcc_web@web@interface@migrations@0005_dbquery_queries.py@.PATH_END.py |
{
"filename": "Gas.py",
"repo_name": "psheehan/pdspy",
"repo_path": "pdspy_extracted/pdspy-master/pdspy/gas/Gas.py",
"type": "Python"
} | from pdspy.constants.physics import m_p, c, h
import numpy
import h5py
class Gas:
def set_properties_from_lambda(self, filename):
f = open(filename)
for i in range(3):
f.readline()
self.mass = float(f.readline())
f.readline()
nlev = int(f.readline())
... | psheehanREPO_NAMEpdspyPATH_START.@pdspy_extracted@pdspy-master@pdspy@gas@Gas.py@.PATH_END.py |
{
"filename": "plot_ska_fs8.py",
"repo_name": "philbull/RadioFisher",
"repo_path": "RadioFisher_extracted/RadioFisher-master/plotting/plot_ska_fs8.py",
"type": "Python"
} | #!/usr/bin/python
"""
Plot f.sigma_8 as a function of z
"""
import numpy as np
import pylab as P
from rfwrapper import rf
import matplotlib.patches
import matplotlib.cm
import matplotlib.ticker
from radiofisher import euclid
import copy
cosmo = rf.experiments.cosmo
#------------------------------------------------
# ... | philbullREPO_NAMERadioFisherPATH_START.@RadioFisher_extracted@RadioFisher-master@plotting@plot_ska_fs8.py@.PATH_END.py |
{
"filename": "VERSION.md",
"repo_name": "cdslaborg/paramonte",
"repo_path": "paramonte_extracted/paramonte-main/src/python/VERSION.md",
"type": "Markdown"
} | 3.0.0
ParaMonte Python library version file.
This project uses semantic versioning.
For details, see http://semver.org
| cdslaborgREPO_NAMEparamontePATH_START.@paramonte_extracted@paramonte-main@src@python@VERSION.md@.PATH_END.py |
{
"filename": "bimod_sats_fithelp.py",
"repo_name": "ArgonneCPAC/diffmah",
"repo_path": "diffmah_extracted/diffmah-main/diffmah/diffmahpop_kernels/bimod_sats_fithelp.py",
"type": "Python"
} | """
"""
from jax import jit as jjit
from jax import numpy as jnp
from jax import random as jran
from jax import value_and_grad, vmap
from . import mc_bimod_sats as mcs
T_OBS_FIT_MIN = 0.5
@jjit
def _mse(x, y):
d = y - x
return jnp.mean(d * d)
@jjit
def _loss_mah_moments_singlebin(
diffmahpop_params,
... | ArgonneCPACREPO_NAMEdiffmahPATH_START.@diffmah_extracted@diffmah-main@diffmah@diffmahpop_kernels@bimod_sats_fithelp.py@.PATH_END.py |
{
"filename": "sghmc.py",
"repo_name": "blackjax-devs/blackjax",
"repo_path": "blackjax_extracted/blackjax-main/blackjax/sgmcmc/sghmc.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@sgmcmc@sghmc.py@.PATH_END.py |
{
"filename": "_surface.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/_surface.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SurfaceValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="surface", parent_name="", **kwargs):
super(SurfaceValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
dat... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@_surface.py@.PATH_END.py |
{
"filename": "acweSaveSeg_v5.py",
"repo_name": "jalanderos/STRIDE-CH",
"repo_path": "STRIDE-CH_extracted/STRIDE-CH-main/acwe_lib/acweSaveSeg_v5.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Dec 18 13:44:16 2020
Updated on Mon Feb 20 16:19:33 2023
@author: jgra
"""
# In[1]
# Import Libraries and Tools
import numpy as np
# In[2]
# Define Save function
def saveSeg(filename,seg,h,correct_limb_brightening,resize_param,
foreground_... | jalanderosREPO_NAMESTRIDE-CHPATH_START.@STRIDE-CH_extracted@STRIDE-CH-main@acwe_lib@acweSaveSeg_v5.py@.PATH_END.py |
{
"filename": "test_Acspy_Common_TimeHelper.py",
"repo_name": "ACS-Community/ACS",
"repo_path": "ACS_extracted/ACS-master/LGPL/CommonSoftware/acspycommon/test/test_Acspy_Common_TimeHelper.py",
"type": "Python"
} | #! /usr/bin/env python
#*******************************************************************************
# ALMA - Atacama Large Millimiter Array
# (c) National Research Council of Canada, 2008
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public... | ACS-CommunityREPO_NAMEACSPATH_START.@ACS_extracted@ACS-master@LGPL@CommonSoftware@acspycommon@test@test_Acspy_Common_TimeHelper.py@.PATH_END.py |
{
"filename": "online_storage.py",
"repo_name": "renecotyfanboy/jaxspec",
"repo_path": "jaxspec_extracted/jaxspec-main/src/jaxspec/util/online_storage.py",
"type": "Python"
} | import pooch
table_manager = pooch.create(
# Use the default cache folder for the operating system
path=pooch.os_cache("jaxspec"),
base_url="https://github.com/renecotyfanboy/jaxspec-database/raw/main/",
# The registry specifies the files that can be fetched
registry={
"abundances.dat": "sh... | renecotyfanboyREPO_NAMEjaxspecPATH_START.@jaxspec_extracted@jaxspec-main@src@jaxspec@util@online_storage.py@.PATH_END.py |
{
"filename": "exceptions.py",
"repo_name": "astropy/astroplan",
"repo_path": "astroplan_extracted/astroplan-main/astroplan/exceptions.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from astropy.utils.exceptions import AstropyWarning
__all__ = ["TargetAlwaysUpWarning", "TargetNeverUpWarning",
"OldEarthOrientationDataWarning", "PlotWarning",
"PlotBelowHorizonWarning", "AstroplanWarning",
"MissingConst... | astropyREPO_NAMEastroplanPATH_START.@astroplan_extracted@astroplan-main@astroplan@exceptions.py@.PATH_END.py |
{
"filename": "_opacity.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/box/unselected/marker/_opacity.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="opacity", parent_name="box.unselected.marker", **kwargs
):
super(OpacityValidator, self).__init__(
plotly_name=plotly_name,
parent_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@box@unselected@marker@_opacity.py@.PATH_END.py |
{
"filename": "_weight.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/choropleth/legendgrouptitle/font/_weight.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WeightValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self,
plotly_name="weight",
parent_name="choropleth.legendgrouptitle.font",
**kwargs,
):
super(WeightValidator, self).__init__(
plotly_nam... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@choropleth@legendgrouptitle@font@_weight.py@.PATH_END.py |
{
"filename": "interface_generator.py",
"repo_name": "JulianBMunoz/RelicFast",
"repo_path": "RelicFast_extracted/RelicFast-master/CLASS_Current/python/interface_generator.py",
"type": "Python"
} | """
Automatically reads header files to generate an interface
"""
from __future__ import division, print_function
import sys
import logging
try:
from collections import OrderedDict as od
except ImportError:
try:
from ordereddict import OrderedDict as od
except ImportError:
raise ImportError(... | JulianBMunozREPO_NAMERelicFastPATH_START.@RelicFast_extracted@RelicFast-master@CLASS_Current@python@interface_generator.py@.PATH_END.py |
{
"filename": "bare_rock.ipynb",
"repo_name": "nichollsh/AGNI",
"repo_path": "AGNI_extracted/AGNI-main/misc/bare_rock.ipynb",
"type": "Jupyter Notebook"
} | ```python
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import root_scalar
from scipy.interpolate import PchipInterpolator
```
```python
# Constants (SI units)
AU = 1.495979e+11
sigma = 5.670374419e-8
h_pl = 6.62607015e-34
k_B = 1.380649e-23
c_vac = 299792458.0
```
```python
# Parame... | nichollshREPO_NAMEAGNIPATH_START.@AGNI_extracted@AGNI-main@misc@bare_rock.ipynb@.PATH_END.py |
{
"filename": "_dash.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/ohlc/increasing/line/_dash.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class DashValidator(_plotly_utils.basevalidators.DashValidator):
def __init__(
self, plotly_name="dash", parent_name="ohlc.increasing.line", **kwargs
):
super(DashValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@ohlc@increasing@line@_dash.py@.PATH_END.py |
{
"filename": "_xpad.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatter3d/marker/colorbar/_xpad.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="xpad", parent_name="scatter3d.marker.colorbar", **kwargs
):
super(XpadValidator, self).__init__(
plotly_name=plotly_name,
parent_name=... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatter3d@marker@colorbar@_xpad.py@.PATH_END.py |
{
"filename": "cninv.py",
"repo_name": "toshiyan/cmblensplus",
"repo_path": "cmblensplus_extracted/cmblensplus-master/wrap/curvedsky/cninv.py",
"type": "Python"
} | import libcurvedsky
import numpy
def cnfilter_freq(n,mn,nside,lmax,cl,bl,iNcov,maps,chn=1,lmaxs=[0],nsides=[0],itns=[1],eps=[1e-6],filter='W',verbose=False,ro=50,stat='',inl=None):
"""
Combining multiple frequency CMB maps optimally.
The filtering would work if the noise variance is not significantly varied with ... | toshiyanREPO_NAMEcmblensplusPATH_START.@cmblensplus_extracted@cmblensplus-master@wrap@curvedsky@cninv.py@.PATH_END.py |
{
"filename": "_xpad.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/parcats/line/colorbar/_xpad.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="xpad", parent_name="parcats.line.colorbar", **kwargs
):
super(XpadValidator, self).__init__(
plotly_name=plotly_name,
parent_name=pare... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@parcats@line@colorbar@_xpad.py@.PATH_END.py |
{
"filename": "quickstart.md",
"repo_name": "ebellm/pyraf-dbsp",
"repo_path": "pyraf-dbsp_extracted/pyraf-dbsp-master/docs/quickstart.md",
"type": "Markdown"
} | ### Quick Start/Command Summary
Complete night reduction:
`cd` to your data directory.
Save a copy of your files in a "raw" directory--this code overwrites the originals!
mdkir raw
cp *.fits raw
Start `ipython` and load the script:
%run /path/to/dbsp.py
For users on the Caltech astro network, log in to soro... | ebellmREPO_NAMEpyraf-dbspPATH_START.@pyraf-dbsp_extracted@pyraf-dbsp-master@docs@quickstart.md@.PATH_END.py |
{
"filename": "test_rambo.py",
"repo_name": "LoganAMorrison/Hazma",
"repo_path": "Hazma_extracted/Hazma-master/test/rambo/test_rambo.py",
"type": "Python"
} | import unittest
import pytest
import numpy as np
from numpy.testing import assert_allclose
from hazma.field_theory_helper_functions.common_functions import minkowski_dot as MDot
from hazma.parameters import GF, alpha_em
from hazma.parameters import electron_mass as me
from hazma.parameters import muon_mass as mmu
fro... | LoganAMorrisonREPO_NAMEHazmaPATH_START.@Hazma_extracted@Hazma-master@test@rambo@test_rambo.py@.PATH_END.py |
{
"filename": "test_take.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/test_take.py",
"type": "Python"
} | from datetime import datetime
import numpy as np
import pytest
from pandas._libs import iNaT
from pandas import array
import pandas._testing as tm
import pandas.core.algorithms as algos
@pytest.fixture(
params=[
(np.int8, np.int16(127), np.int8),
(np.int8, np.int16(128), np.int16),
(np.... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@test_take.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/histogram2dcontour/colorbar/tickfont/_variant.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VariantValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="variant",
parent_name="histogram2dcontour.colorbar.tickfont",
**kwargs,
):
super(VariantValidator, self).__init__(
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@histogram2dcontour@colorbar@tickfont@_variant.py@.PATH_END.py |
{
"filename": "_shadow.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/parcoords/tickfont/_shadow.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShadowValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="shadow", parent_name="parcoords.tickfont", **kwargs
):
super(ShadowValidator, self).__init__(
plotly_name=plotly_name,
parent_name=p... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@parcoords@tickfont@_shadow.py@.PATH_END.py |
{
"filename": "pgvector.ipynb",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/docs/docs/integrations/vectorstores/pgvector.ipynb",
"type": "Jupyter Notebook"
} | # PGVector
> An implementation of LangChain vectorstore abstraction using `postgres` as the backend and utilizing the `pgvector` extension.
The code lives in an integration package called: [langchain_postgres](https://github.com/langchain-ai/langchain-postgres/).
## Status
This code has been ported over from `langc... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@docs@docs@integrations@vectorstores@pgvector.ipynb@.PATH_END.py |
{
"filename": "styles.py",
"repo_name": "hopehhchen/Droplets",
"repo_path": "Droplets_extracted/Droplets-master/Droplets/styles.py",
"type": "Python"
} | from matplotlib import rcParams
from cycler import cycler
colors_538 = ["#30a2da",
"#fc4f30",
"#e5ae38",
"#6d904f",
"#8b8b8b"]
### Hope's implementation ###
# lines
rcParams['lines.linewidth'] = 1
rcParams['lines.markersize'] = 20
# image
rcParams['image.cmap'] ... | hopehhchenREPO_NAMEDropletsPATH_START.@Droplets_extracted@Droplets-master@Droplets@styles.py@.PATH_END.py |
{
"filename": "test_diskdf.py",
"repo_name": "jobovy/galpy",
"repo_path": "galpy_extracted/galpy-main/tests/test_diskdf.py",
"type": "Python"
} | # Tests of the diskdf module: distribution functions from Dehnen (1999)
import os
import numpy
import pytest
from scipy import stats
from galpy.df import dehnendf, schwarzschilddf, shudf
_FEWERLONGINTEGRALS = True
# So we can reuse the following
ddf_correct_flat = None
ddf_correct2_flat = None
ddf_correct_powerrise ... | jobovyREPO_NAMEgalpyPATH_START.@galpy_extracted@galpy-main@tests@test_diskdf.py@.PATH_END.py |
{
"filename": "_enabled.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/yaxis/tickformatstop/_enabled.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="enabled", parent_name="layout.yaxis.tickformatstop", **kwargs
):
super(EnabledValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@yaxis@tickformatstop@_enabled.py@.PATH_END.py |
{
"filename": "_show.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/surface/contours/x/_show.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="show", parent_name="surface.contours.x", **kwargs):
super(ShowValidator, 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@surface@contours@x@_show.py@.PATH_END.py |
{
"filename": "_color.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattergl/error_x/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(self, plotly_name="color", parent_name="scattergl.error_x", **kwargs):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattergl@error_x@_color.py@.PATH_END.py |
{
"filename": "shell.py",
"repo_name": "xraypy/xraylarch",
"repo_path": "xraylarch_extracted/xraylarch-master/larch/shell.py",
"type": "Python"
} | #!/usr/bin/env python
"""
Larch command-line shell
"""
import cmd
import os
import sys
import signal
from .interpreter import Interpreter
from .site_config import history_file
from .version import make_banner
from .larchlib import StdWriter
from .utils import uname
HAS_READLINE = False
try:
import readline
HA... | xraypyREPO_NAMExraylarchPATH_START.@xraylarch_extracted@xraylarch-master@larch@shell.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/scattergeo/selected/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._marker import Marker
from ._textfont import Textfont
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._marker.Marker", "._textfont.Textfont"]
)
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@scattergeo@selected@__init__.py@.PATH_END.py |
{
"filename": "FRB_Cat.ipynb",
"repo_name": "FRBs/FRB",
"repo_path": "FRB_extracted/FRB-main/docs/nb/FRB_Cat.ipynb",
"type": "Jupyter Notebook"
} | # Reading FRB Cat [v1.3]
v1.2 -- Update in 2018
v1.3 -- Update on 07 Dec 2019
http://frbcat.org/
```python
# imports
from imp import reload
import numpy as np
from matplotlib import pyplot as plt
from astropy.table import Table
from astropy.time import Time
from frb import frbcat as ffcat
from frb ... | FRBsREPO_NAMEFRBPATH_START.@FRB_extracted@FRB-main@docs@nb@FRB_Cat.ipynb@.PATH_END.py |
{
"filename": "E12_not_second.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/parso/py3/tests/normalizer_issue_files/E12_not_second.py",
"type": "Python"
} |
def qualify_by_address(
self, cr, uid, ids, context=None,
params_to_check=frozenset(QUALIF_BY_ADDRESS_PARAM)):
""" This gets called by the web server """
def qualify_by_address(self, cr, uid, ids, context=None,
params_to_check=frozenset(QUALIF_BY_ADDRESS_PARAM)):
""" Th... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@parso@py3@tests@normalizer_issue_files@E12_not_second.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "qubvel/segmentation_models.pytorch",
"repo_path": "segmentation_models.pytorch_extracted/segmentation_models.pytorch-main/segmentation_models_pytorch/base/__init__.py",
"type": "Python"
} | from .model import SegmentationModel
from .modules import Conv2dReLU, Attention
from .heads import SegmentationHead, ClassificationHead
__all__ = [
"SegmentationModel",
"Conv2dReLU",
"Attention",
"SegmentationHead",
"ClassificationHead",
]
| qubvelREPO_NAMEsegmentation_models.pytorchPATH_START.@segmentation_models.pytorch_extracted@segmentation_models.pytorch-main@segmentation_models_pytorch@base@__init__.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/src/integrations/prefect-ray/README.md",
"type": "Markdown"
} | # prefect-ray
<p align="center">
<!--- Insert a cover image here -->
<!--- <br> -->
<a href="https://pypi.python.org/pypi/prefect-ray/" alt="PyPI version">
<img alt="PyPI" src="https://img.shields.io/pypi/v/prefect-ray?color=26272B&labelColor=090422"></a>
<a href="https://pepy.tech/badge/prefec... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@src@integrations@prefect-ray@README.md@.PATH_END.py |
{
"filename": "cp424.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/tools/python3/Lib/encodings/cp424.py",
"type": "Python"
} | """ Python Character Mapping Codec cp424 generated from 'MAPPINGS/VENDORS/MISC/CP424.TXT' with gencodec.py.
"""#"
import codecs
### Codec APIs
class Codec(codecs.Codec):
def encode(self,input,errors='strict'):
return codecs.charmap_encode(input,errors,encoding_table)
def decode(self,input,errors='... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@tools@python3@Lib@encodings@cp424.py@.PATH_END.py |
{
"filename": "plugin_upload.py",
"repo_name": "sbraden/circle-craters",
"repo_path": "circle-craters_extracted/circle-craters-master/plugin_upload.py",
"type": "Python"
} | #!/usr/bin/env python
# coding=utf-8
"""This script uploads a plugin package on the server.
Authors: A. Pasotti, V. Picavet
git sha : $TemplateVCSFormat
"""
import sys
import getpass
import xmlrpclib
from optparse import OptionParser
# Configuration
PROTOCOL = 'http'
SERVER = 'plugins.qgi... | sbradenREPO_NAMEcircle-cratersPATH_START.@circle-craters_extracted@circle-craters-master@plugin_upload.py@.PATH_END.py |
{
"filename": "_family.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattergeo/hoverlabel/font/_family.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="family", parent_name="scattergeo.hoverlabel.font", **kwargs
):
super(FamilyValidator, self).__init__(
plotly_name=plotly_name,
paren... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattergeo@hoverlabel@font@_family.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/restricted/googletest/googletest/README.md",
"type": "Markdown"
} | ### Generic Build Instructions
#### Setup
To build GoogleTest and your tests that use it, you need to tell your build
system where to find its headers and source files. The exact way to do it
depends on which build system you use, and is usually straightforward.
### Build with CMake
GoogleTest comes with a CMake bu... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@restricted@googletest@googletest@README.md@.PATH_END.py |
{
"filename": "Step4_matching_img_ifs_part2-checkpoint.ipynb",
"repo_name": "aabdurrouf/piXedfit",
"repo_path": "piXedfit_extracted/piXedfit-main/examples/FUVtoNIR_CALIFA/.ipynb_checkpoints/Step4_matching_img_ifs_part2-checkpoint.ipynb",
"type": "Jupyter Notebook"
} | # 4. Spatial and spectral matching between imaging data and IFS data cube using `piXedfit_spectrophotometric` -- Part II
<font size="4">In this step, we correct for the wavelength-dependant mismatch between the IFS spectra and the photometric SEDs on pixel level. This mismatch can be caused by at least two factors: sy... | aabdurroufREPO_NAMEpiXedfitPATH_START.@piXedfit_extracted@piXedfit-main@examples@FUVtoNIR_CALIFA@.ipynb_checkpoints@Step4_matching_img_ifs_part2-checkpoint.ipynb@.PATH_END.py |
{
"filename": "_name.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/splom/_name.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="name", parent_name="splom", **kwargs):
super(NameValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@splom@_name.py@.PATH_END.py |
{
"filename": "_width.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattermap/line/_width.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="width", parent_name="scattermap.line", **kwargs):
super(WidthValidator, 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@scattermap@line@_width.py@.PATH_END.py |
{
"filename": "_spectra.py",
"repo_name": "LoganAMorrison/Hazma",
"repo_path": "Hazma_extracted/Hazma-master/hazma/experimental/pseudo_scalar_mediator/_spectra.py",
"type": "Python"
} | import numpy as np
from hazma import spectra
from hazma.parameters import muon_mass as mmu
from hazma.parameters import electron_mass as me
from ._proto import PseudoScalarMediatorBase
from ._fsr import dnde_xx_to_p_to_ffg
from ._msqrd import msqrd_xx_to_p_to_000, msqrd_xx_to_p_to_pm0
# Stuff needed to compute fsr f... | LoganAMorrisonREPO_NAMEHazmaPATH_START.@Hazma_extracted@Hazma-master@hazma@experimental@pseudo_scalar_mediator@_spectra.py@.PATH_END.py |
{
"filename": "jwstnirspec.py",
"repo_name": "jruffio/breads",
"repo_path": "breads_extracted/breads-main/breads/instruments/jwstnirspec.py",
"type": "Python"
} | from matplotlib.pyplot import axis
import matplotlib.pyplot as plt
from breads.instruments.instrument import Instrument
import breads.utils as utils
from warnings import warn
import astropy.io.fits as pyfits
import numpy as np
import ctypes
from astropy.coordinates import SkyCoord, EarthLocation
import astropy.units as... | jruffioREPO_NAMEbreadsPATH_START.@breads_extracted@breads-main@breads@instruments@jwstnirspec.py@.PATH_END.py |
{
"filename": "derived_field.py",
"repo_name": "yt-project/yt",
"repo_path": "yt_extracted/yt-main/doc/source/cookbook/derived_field.py",
"type": "Python"
} | import yt
# Load the dataset.
ds = yt.load("IsolatedGalaxy/galaxy0030/galaxy0030")
# You can create a derived field by manipulating any existing derived fields
# in any way you choose. In this case, let's just make a simple one:
# thermal_energy_density = 3/2 nkT
# First create a function which yields your new der... | yt-projectREPO_NAMEytPATH_START.@yt_extracted@yt-main@doc@source@cookbook@derived_field.py@.PATH_END.py |
{
"filename": "_legend.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatter3d/_legend.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LegendValidator(_plotly_utils.basevalidators.SubplotidValidator):
def __init__(self, plotly_name="legend", parent_name="scatter3d", **kwargs):
super(LegendValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatter3d@_legend.py@.PATH_END.py |
{
"filename": "_utils.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/cosmology/_utils.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import annotations
__all__: list[str] = [] # nothing is publicly scoped
import functools
import operator
from collections.abc import Callable
from dataclasses import Field
from numbers import Number
from typing import TYPE_CHECKING, Any... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@cosmology@_utils.py@.PATH_END.py |
{
"filename": "make_transmission.py",
"repo_name": "igmhub/LyaCoLoRe",
"repo_path": "LyaCoLoRe_extracted/LyaCoLoRe-master/scripts/make_transmission.py",
"type": "Python"
} | #!/usr/bin/env python
import multiprocessing
import numpy as np
import os
import sys
import time
from astropy.io import fits
from multiprocessing import Pool
from scipy.interpolate import interp1d
from lyacolore import parse, simulation_data, utils
###################################################################... | igmhubREPO_NAMELyaCoLoRePATH_START.@LyaCoLoRe_extracted@LyaCoLoRe-master@scripts@make_transmission.py@.PATH_END.py |
{
"filename": "download-data.ipynb",
"repo_name": "HITS-AIN/PINK",
"repo_path": "PINK_extracted/PINK-master/jupyter/download-data.ipynb",
"type": "Jupyter Notebook"
} | ```python
import sys
!{sys.executable} -m pip install --user googledrivedownloader requests
%reset -f
```
Requirement already satisfied: googledrivedownloader in /usr/local/lib/python3.6/dist-packages (0.4)
Requirement already satisfied: requests in /usr/local/lib/python3.6/dist-packages (2.22.0)
Require... | HITS-AINREPO_NAMEPINKPATH_START.@PINK_extracted@PINK-master@jupyter@download-data.ipynb@.PATH_END.py |
{
"filename": "_tickfont.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/heatmapgl/colorbar/_tickfont.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="tickfont", parent_name="heatmapgl.colorbar", **kwargs
):
super(TickfontValidator, self).__init__(
plotly_name=plotly_name,
paren... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@heatmapgl@colorbar@_tickfont.py@.PATH_END.py |
{
"filename": "scan_util.py",
"repo_name": "brinckmann/montepython_public",
"repo_path": "montepython_public_extracted/montepython_public-master/montepython/likelihoods/bao_BOSS_DR11_Lya_cross/scan_util.py",
"type": "Python"
} | # scan_util.py
#
# This is a module containing subfunctions to read the chi2 tables from BOSS and
# eBOSS Lya auto and Lya-QSO cross correlation results
#
# class:chi2_interpolators
# - __init__
# - get_chi2_distances
#
import numpy as np
from scipy.interpolate import RectBivariateSpline
#################... | brinckmannREPO_NAMEmontepython_publicPATH_START.@montepython_public_extracted@montepython_public-master@montepython@likelihoods@bao_BOSS_DR11_Lya_cross@scan_util.py@.PATH_END.py |
{
"filename": "_tickwidth.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattermapbox/marker/colorbar/_tickwidth.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="tickwidth",
parent_name="scattermapbox.marker.colorbar",
**kwargs,
):
super(TickwidthValidator, self).__init__(
plotl... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattermapbox@marker@colorbar@_tickwidth.py@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/splom/legendgrouptitle/_font.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="font", parent_name="splom.legendgrouptitle", **kwargs
):
super(FontValidator, self).__init__(
plotly_name=plotly_name,
parent_name=p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@splom@legendgrouptitle@_font.py@.PATH_END.py |
{
"filename": "sleep.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/data/experimental/ops/sleep.py",
"type": "Python"
} | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@data@experimental@ops@sleep.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/splom/marker/colorbar/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._tickfont import Tickfont
from ._tickformatstop import Tickformatstop
from ._title import Title
from . import title
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, _... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@splom@marker@colorbar@__init__.py@.PATH_END.py |
{
"filename": "test_imports.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/tests/unit_tests/chat_models/test_imports.py",
"type": "Python"
} | from langchain_community.chat_models import __all__, _module_lookup
EXPECTED_ALL = [
"AzureChatOpenAI",
"BedrockChat",
"ChatAnthropic",
"ChatAnyscale",
"ChatBaichuan",
"ChatClovaX",
"ChatCohere",
"ChatCoze",
"ChatDatabricks",
"ChatDeepInfra",
"ChatEverlyAI",
"ChatEdenAI"... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@tests@unit_tests@chat_models@test_imports.py@.PATH_END.py |
{
"filename": "TOA_characterise.py",
"repo_name": "mattpitkin/tempo2",
"repo_path": "tempo2_extracted/tempo2-master/python/toasim/bin/TOA_characterise.py",
"type": "Python"
} | #!/usr/bin/python
import sys
import matplotlib.pylab as plt
from math import sqrt,pi,degrees
import random
import ephem
def printhelp():
print("TOA_characterise [options] tempo2.tim")
print("")
print("Characterises the given TOAs (tempo2 format tim file).")
print("Can simulate future observations bas... | mattpitkinREPO_NAMEtempo2PATH_START.@tempo2_extracted@tempo2-master@python@toasim@bin@TOA_characterise.py@.PATH_END.py |
{
"filename": "values.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/distribute/coordinator/values.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 applicable ... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@distribute@coordinator@values.py@.PATH_END.py |
{
"filename": "cli__cross-validation__purpose__div.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/_includes/work_src/reusage/cli__cross-validation__purpose__div.md",
"type": "Markdown"
} |
Training can be launched in cross-validation mode. In this case, only the training dataset is required. This dataset is split, and the resulting folds are used as the learning and evaluation datasets. If the input dataset contains the {{ cd-file__col-type__GroupId }} column, all objects from one group are added to the... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@_includes@work_src@reusage@cli__cross-validation__purpose__div.md@.PATH_END.py |
{
"filename": "input.py",
"repo_name": "jcolinhill/pyilc",
"repo_path": "pyilc_extracted/pyilc-main/pyilc/input.py",
"type": "Python"
} | from __future__ import print_function
import numpy as np
import yaml
import os
import healpy as hp
"""
module to read in relevant input specified by user
"""
##########################
# wavelet types implemented thus far
# WV_TYPES = ['GaussianNeedlets','TopHatHarmonic']
WV_TYPES = ['GaussianNeedlets','TopHatHarmonic'... | jcolinhillREPO_NAMEpyilcPATH_START.@pyilc_extracted@pyilc-main@pyilc@input.py@.PATH_END.py |
{
"filename": "athena.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/document_loaders/athena.py",
"type": "Python"
} | from __future__ import annotations
import io
import json
import time
from typing import Any, Dict, Iterator, List, Optional, Tuple
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class AthenaLoader(BaseLoader):
"""Load documents from `AWS Athena`.
... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@document_loaders@athena.py@.PATH_END.py |
{
"filename": "sumLine.py",
"repo_name": "GBTSpectroscopy/gbtpipe",
"repo_path": "gbtpipe_extracted/gbtpipe-master/gbtpipe/contrib/sumLine.py",
"type": "Python"
} | # parsel-tongue script tuned for SGR B2 obs of NH3
#HISTORY
#11JAN26 GIL add help
#10OCT06 GIL measure the NH3 1-1 integrated profile only
from AIPS import *
from AIPS import AIPS
from AIPSTask import AIPSTask, AIPSList
from AIPSData import *
from AIPSData import AIPSUVData, AIPSImage
from Wizardry.AIPSData import AIP... | GBTSpectroscopyREPO_NAMEgbtpipePATH_START.@gbtpipe_extracted@gbtpipe-master@gbtpipe@contrib@sumLine.py@.PATH_END.py |
{
"filename": "menubars.py",
"repo_name": "spacetelescope/specview",
"repo_path": "specview_extracted/specview-master/specview/ui/qt/menubars.py",
"type": "Python"
} | from ...external.qt import QtGui
class MainMainBar(QtGui.QMenuBar):
def __init__(self):
super(MainMainBar, self).__init__()
# File
self.atn_exit = QtGui.QAction('&Exit', self)
self.atn_exit.setShortcut('Ctrl+Q')
self.atn_exit.setStatusTip('Exit application')
self.a... | spacetelescopeREPO_NAMEspecviewPATH_START.@specview_extracted@specview-master@specview@ui@qt@menubars.py@.PATH_END.py |
{
"filename": "option_utils.py",
"repo_name": "gwastro/pycbc",
"repo_path": "pycbc_extracted/pycbc-master/pycbc/inference/option_utils.py",
"type": "Python"
} | # Copyright (C) 2016 Collin Capano, Duncan Brown
#
# This program is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 3 of the License, or (at your
# option) any later version.
#
# This program is d... | gwastroREPO_NAMEpycbcPATH_START.@pycbc_extracted@pycbc-master@pycbc@inference@option_utils.py@.PATH_END.py |
{
"filename": "utilfuncs.py",
"repo_name": "IvS-KULeuven/IvSPythonRepository",
"repo_path": "IvSPythonRepository_extracted/IvSPythonRepository-master/sigproc/lmfit/utilfuncs.py",
"type": "Python"
} | """Utility mathematical functions and common lineshapes for minimizer
"""
import numpy
import scipy
from scipy.special import gamma
CUSTOM_FUNCTIONS = {}
log2 = numpy.log(2)
pi = numpy.pi
def gauss(x, amp, cen, wid):
"gaussian function: wid = half-width at half-max"
return amp * numpy.exp(-log2 * (x-cen) **2... | IvS-KULeuvenREPO_NAMEIvSPythonRepositoryPATH_START.@IvSPythonRepository_extracted@IvSPythonRepository-master@sigproc@lmfit@utilfuncs.py@.PATH_END.py |
{
"filename": "plot.py",
"repo_name": "zenitani/OpenMHD",
"repo_path": "OpenMHD_extracted/OpenMHD-master/3D_basic/plot.py",
"type": "Python"
} | import matplotlib.pyplot as plt
import numpy as np
import openmhd3d as openmhd
# dummy index
vx=0;vy=1;vz=2;pr=3;ro=4;bx=5;by=6;bz=7;ps=8
# reading the data ...
x,y,z,t,data = openmhd.data_read("data/field-00010.dat")
# reading the data (partial domain: [ix1,ix2] x [jx1,jx2] x [kx1,kx2])
# x,y,z,t,data = openmhd.data_... | zenitaniREPO_NAMEOpenMHDPATH_START.@OpenMHD_extracted@OpenMHD-master@3D_basic@plot.py@.PATH_END.py |
{
"filename": "prepare_pfailsimulations.py",
"repo_name": "desihub/LSS",
"repo_path": "LSS_extracted/LSS-main/scripts/prepare_pfailsimulations.py",
"type": "Python"
} | import numpy as np
import scipy
import sys
from scipy import stats
from scipy.stats import norm
from scipy.stats import binom
import fitsio
import glob
import os
import matplotlib.pyplot as plt
import statistics
import argparse
import astropy
from astropy.table import Table
from astropy.table import join
from astropy.t... | desihubREPO_NAMELSSPATH_START.@LSS_extracted@LSS-main@scripts@prepare_pfailsimulations.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "Harry45/DESEMU",
"repo_path": "DESEMU_extracted/DESEMU-main/jax_cosmo/scipy/__init__.py",
"type": "Python"
} | Harry45REPO_NAMEDESEMUPATH_START.@DESEMU_extracted@DESEMU-main@jax_cosmo@scipy@__init__.py@.PATH_END.py | |
{
"filename": "_treemapcolorway.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/_treemapcolorway.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TreemapcolorwayValidator(_plotly_utils.basevalidators.ColorlistValidator):
def __init__(self, plotly_name="treemapcolorway", parent_name="layout", **kwargs):
super(TreemapcolorwayValidator, self).__init__(
plotly_name=plotly_name,
parent_na... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@_treemapcolorway.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "golmschenk/eesunhong",
"repo_path": "eesunhong_extracted/eesunhong-main/tests/end_to_end_tests/binary_lens/advanced_dseek/__init__.py",
"type": "Python"
} | golmschenkREPO_NAMEeesunhongPATH_START.@eesunhong_extracted@eesunhong-main@tests@end_to_end_tests@binary_lens@advanced_dseek@__init__.py@.PATH_END.py | |
{
"filename": "in-depth-guide.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/tools/proto_splitter/g3doc/in-depth-guide.md",
"type": "Markdown"
} | # Proto Splitter / Merger Library
This doc lists implementation details about the [Proto Splitter/Merger library](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/proto_splitter). New Splitters should take these details into consideration to generate valid chunks and metadata that are compatible w... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@tools@proto_splitter@g3doc@in-depth-guide.md@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/histogram2d/hoverlabel/_font.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="font", parent_name="histogram2d.hoverlabel", **kwargs
):
super(FontValidator, self).__init__(
plotly_name=plotly_name,
parent_name=p... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@histogram2d@hoverlabel@_font.py@.PATH_END.py |
{
"filename": "_width.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattergl/line/_width.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="width", parent_name="scattergl.line", **kwargs):
super(WidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattergl@line@_width.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/geminidr/gemini/tests/__init__.py",
"type": "Python"
} | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@geminidr@gemini@tests@__init__.py@.PATH_END.py | |
{
"filename": "__init__.py",
"repo_name": "sibirrer/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/lenstronomy/Conf/__init__.py",
"type": "Python"
} | sibirrerREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@lenstronomy@Conf@__init__.py@.PATH_END.py | |
{
"filename": "__init__.py",
"repo_name": "GeminiDRSoftware/GHOSTDR",
"repo_path": "GHOSTDR_extracted/GHOSTDR-master/ghostdr/ghost/test/__init__.py",
"type": "Python"
} | """
Primitive unit tests for the GHOST instrument.
Only the simplest of the unit tests are provided in this module. A lot of
primitives require various calibrators in order to be run correctly. These
primitives are tested during the full reduction tests
(:any:`ghostdr.ghost.recipes.test`).
""" | GeminiDRSoftwareREPO_NAMEGHOSTDRPATH_START.@GHOSTDR_extracted@GHOSTDR-master@ghostdr@ghost@test@__init__.py@.PATH_END.py |
{
"filename": "lat_dm.py",
"repo_name": "HeRTA/FRBSTATS",
"repo_path": "FRBSTATS_extracted/FRBSTATS-main/figs/lat_dm.py",
"type": "Python"
} | from csv import reader
import matplotlib
matplotlib.use('Agg')
from matplotlib import pyplot as plt
### Set MPL plot parameters
# Selectable SVG text
plt.rcParams['svg.fonttype'] = 'none'
# Use TeX
plt.rcParams['text.usetex'] = True
# Set figsize
plt.rcParams["figure.figsize"] = (24,20)
plt.rcParams["figure.dpi"] = ... | HeRTAREPO_NAMEFRBSTATSPATH_START.@FRBSTATS_extracted@FRBSTATS-main@figs@lat_dm.py@.PATH_END.py |
{
"filename": "hydro_2_python.py",
"repo_name": "agnwinds/python",
"repo_path": "python_extracted/python-main/py_progs/hydro_2_python.py",
"type": "Python"
} | #!/usr/bin/env python
'''
Parses a hydro input file into an astropy table.
Synopsis:
This is a simple program which will
parse a hydro input file into an astropy
table that python can read in as a wind
Description:
The code attempts to work out if the
input file is an hdf file or an asc... | agnwindsREPO_NAMEpythonPATH_START.@python_extracted@python-main@py_progs@hydro_2_python.py@.PATH_END.py |
{
"filename": "base_observer.py",
"repo_name": "telegraphic/pygdsm",
"repo_path": "pygdsm_extracted/pygdsm-master/pygdsm/base_observer.py",
"type": "Python"
} | import ephem
import healpy as hp
import numpy as np
from astropy.time import Time
from pygdsm.plot_utils import show_plt
from pygdsm.utils import hpix2sky, sky2hpix
from astropy.coordinates import SkyCoord
class BaseObserver(ephem.Observer):
""" Observer of the Global Sky Model.
Generates the Observed sky, fo... | telegraphicREPO_NAMEpygdsmPATH_START.@pygdsm_extracted@pygdsm-master@pygdsm@base_observer.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "wcoulton/CompressedFisher",
"repo_path": "CompressedFisher_extracted/CompressedFisher-main/docs/source/conf.py",
"type": "Python"
} | # Configuration file for the Sphinx documentation builder.
#
# For the full list of built-in configuration values, see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
import pathlib
import sys
import sphinx_rtd_theme
sys.path.insert(0, pathlib.Path(__file__).parents[2].resolve().as_po... | wcoultonREPO_NAMECompressedFisherPATH_START.@CompressedFisher_extracted@CompressedFisher-main@docs@source@conf.py@.PATH_END.py |
{
"filename": "test_reader.py",
"repo_name": "rmjarvis/TreeCorr",
"repo_path": "TreeCorr_extracted/TreeCorr-main/tests/test_reader.py",
"type": "Python"
} | # Copyright (c) 2003-2024 by Mike Jarvis
#
# TreeCorr is free software: 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 retain the above copyright notice, this
# list of condi... | rmjarvisREPO_NAMETreeCorrPATH_START.@TreeCorr_extracted@TreeCorr-main@tests@test_reader.py@.PATH_END.py |
{
"filename": "conftest.py",
"repo_name": "halomod/halomod",
"repo_path": "halomod_extracted/halomod-main/tests/conftest.py",
"type": "Python"
} | from pathlib import Path
import pytest
@pytest.fixture(scope="session")
def datadir() -> Path:
"""The directory in which the test data resides."""
return Path(__file__).parent / "data"
| halomodREPO_NAMEhalomodPATH_START.@halomod_extracted@halomod-main@tests@conftest.py@.PATH_END.py |
{
"filename": "wavfile.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/io/wavfile.py",
"type": "Python"
} | """
Module to read / write wav files using NumPy arrays
Functions
---------
`read`: Return the sample rate (in samples/sec) and data from a WAV file.
`write`: Write a NumPy array as a WAV file.
"""
import io
import sys
import numpy as np
import struct
import warnings
from enum import IntEnum
__all__ = [
'WavFi... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@io@wavfile.py@.PATH_END.py |
{
"filename": "parameter.py",
"repo_name": "gammapy/gammapy",
"repo_path": "gammapy_extracted/gammapy-main/gammapy/modeling/parameter.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""Model parameter classes."""
import collections.abc
import copy
import html
import itertools
import logging
import numpy as np
from astropy import units as u
from astropy.table import Table
from gammapy.utils.interpolation import interpolation_scale
__... | gammapyREPO_NAMEgammapyPATH_START.@gammapy_extracted@gammapy-main@gammapy@modeling@parameter.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "mavrix93/LightCurvesClassifier",
"repo_path": "LightCurvesClassifier_extracted/LightCurvesClassifier-master/lcc_web/web/interface/static/css/__init__.py",
"type": "Python"
} | mavrix93REPO_NAMELightCurvesClassifierPATH_START.@LightCurvesClassifier_extracted@LightCurvesClassifier-master@lcc_web@web@interface@static@css@__init__.py@.PATH_END.py | |
{
"filename": "README.md",
"repo_name": "teuben/QAC",
"repo_path": "QAC_extracted/QAC-master/README.md",
"type": "Markdown"
} | # Quick Array Combinations (QAC)
QAC provides a set of functions that mostly call CASA tools and tasks
to help you combining data from a single dish and interferometer.
QAC hides some of the complexity of writing CASA scripts and
provide a simpler interface to array combination tools and tasks in
CASA.
An alternative... | teubenREPO_NAMEQACPATH_START.@QAC_extracted@QAC-master@README.md@.PATH_END.py |
{
"filename": "womcmwselector.py",
"repo_name": "msiebert1/UCSC_spectral_pipeline",
"repo_path": "UCSC_spectral_pipeline_extracted/UCSC_spectral_pipeline-master/spectral_reduction/tmath/wombat/womcmwselector.py",
"type": "Python"
} | def womcmwselector(hop):
"""select combine 2 with weights"""
from tmath.wombat.womcom import womcom
hop=womcom(hop,2,True)
return hop
| msiebert1REPO_NAMEUCSC_spectral_pipelinePATH_START.@UCSC_spectral_pipeline_extracted@UCSC_spectral_pipeline-master@spectral_reduction@tmath@wombat@womcmwselector.py@.PATH_END.py |
{
"filename": "_highlight.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/surface/contours/y/_highlight.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HighlightValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="highlight", parent_name="surface.contours.y", **kwargs
):
super(HighlightValidator, self).__init__(
plotly_name=plotly_name,
par... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@surface@contours@y@_highlight.py@.PATH_END.py |
{
"filename": "pinecone.ipynb",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/docs/docs/integrations/vectorstores/pinecone.ipynb",
"type": "Jupyter Notebook"
} | # Pinecone
>[Pinecone](https://docs.pinecone.io/docs/overview) is a vector database with broad functionality.
This notebook shows how to use functionality related to the `Pinecone` vector database.
## Setup
To use the `PineconeVectorStore` you first need to install the partner package, as well as the other packages... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@docs@docs@integrations@vectorstores@pinecone.ipynb@.PATH_END.py |
{
"filename": "_zmid.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/heatmap/_zmid.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ZmidValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="zmid", parent_name="heatmap", **kwargs):
super(ZmidValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_ty... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@heatmap@_zmid.py@.PATH_END.py |
{
"filename": "test_data_classifier.py",
"repo_name": "soar-telescope/goodman_pipeline",
"repo_path": "goodman_pipeline_extracted/goodman_pipeline-main/goodman_pipeline/images/tests/test_data_classifier.py",
"type": "Python"
} | from __future__ import absolute_import
import numpy as np
import os
import shutil
from astropy.io import fits
from ccdproc import CCDData
from unittest import TestCase, skip
from ..data_classifier import DataClassifier
class DataClassifierTests(TestCase):
def setUp(self):
self.raw_path = os.path.join... | soar-telescopeREPO_NAMEgoodman_pipelinePATH_START.@goodman_pipeline_extracted@goodman_pipeline-main@goodman_pipeline@images@tests@test_data_classifier.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "cy-xu/cosmic-conn",
"repo_path": "cosmic-conn_extracted/cosmic-conn-main/cosmic_conn/dl_framework/__init__.py",
"type": "Python"
} | cy-xuREPO_NAMEcosmic-connPATH_START.@cosmic-conn_extracted@cosmic-conn-main@cosmic_conn@dl_framework@__init__.py@.PATH_END.py | |
{
"filename": "5_posterior_SHMF.ipynb",
"repo_name": "smsharma/mining-for-substructure-lens",
"repo_path": "mining-for-substructure-lens_extracted/mining-for-substructure-lens-master/notebooks/5_posterior_SHMF.ipynb",
"type": "Jupyter Notebook"
} | # Bayesian inference
```python
import sys, os
import logging
import numpy as np
from scipy.stats import uniform, norm
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.legend_handler import HandlerPatch
%matplotlib inline
sys.path.append('../')
import paper_settings
from simulation.units import *
fro... | smsharmaREPO_NAMEmining-for-substructure-lensPATH_START.@mining-for-substructure-lens_extracted@mining-for-substructure-lens-master@notebooks@5_posterior_SHMF.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py2/scipy/signal/windows/__init__.py",
"type": "Python"
} | """
==============================================
Window functions (:mod:`scipy.signal.windows`)
==============================================
The suite of window functions for filtering and spectral estimation.
.. autosummary::
:toctree: generated/
get_window -- Return a window of a given length and ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py2@scipy@signal@windows@__init__.py@.PATH_END.py |
{
"filename": "2_developers.md",
"repo_name": "mattpitkin/tempo2",
"repo_path": "tempo2_extracted/tempo2-master/documentation/2_developers.md",
"type": "Markdown"
} | Core Developers {#devs}
===============
Tempo2 development team
=======================
Tempo2 was origianaly written by George Hobbs and Rusell Edwards.
Core package maintainers
------------------------
+ George Hobbs [GH] \anchor GH george.hobbs@csiro.au
- Core tempo2 development.
- Gravitational wave c... | mattpitkinREPO_NAMEtempo2PATH_START.@tempo2_extracted@tempo2-master@documentation@2_developers.md@.PATH_END.py |
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