metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "_categoryorder.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/carpet/baxis/_categoryorder.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class CategoryorderValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="categoryorder", parent_name="carpet.baxis", **kwargs
):
super(CategoryorderValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@carpet@baxis@_categoryorder.py@.PATH_END.py |
{
"filename": "_y.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatterpolar/marker/colorbar/_y.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class YValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="y", parent_name="scatterpolar.marker.colorbar", **kwargs
):
super(YValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatterpolar@marker@colorbar@_y.py@.PATH_END.py |
{
"filename": "_stream.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/volume/_stream.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Stream(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "volume"
_path_str = "volume.stream"
_valid_props = {"maxpoints", "token"}
# maxpoints
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@volume@_stream.py@.PATH_END.py |
{
"filename": "run_example.py",
"repo_name": "ajeldorado/falco-python",
"repo_path": "falco-python_extracted/falco-python-master/falco/proper/examples/run_example.py",
"type": "Python"
} | # Copyright 2016, 2017 California Institute of Technology
# Users must agree to abide by the restrictions listed in the
# file "LegalStuff.txt" in the PROPER library directory.
#
# PROPER developed at Jet Propulsion Laboratory/California Inst. Technology
# Original IDL version by John Krist
# Python transla... | ajeldoradoREPO_NAMEfalco-pythonPATH_START.@falco-python_extracted@falco-python-master@falco@proper@examples@run_example.py@.PATH_END.py |
{
"filename": "threshold.py",
"repo_name": "itseez/opencv",
"repo_path": "opencv_extracted/opencv-master/samples/python/tutorial_code/imgProc/threshold/threshold.py",
"type": "Python"
} | from __future__ import print_function
import cv2 as cv
import argparse
max_value = 255
max_type = 4
max_binary_value = 255
trackbar_type = 'Type: \n 0: Binary \n 1: Binary Inverted \n 2: Truncate \n 3: To Zero \n 4: To Zero Inverted'
trackbar_value = 'Value'
window_name = 'Threshold Demo'
## [Threshold_Demo]
def Thre... | itseezREPO_NAMEopencvPATH_START.@opencv_extracted@opencv-master@samples@python@tutorial_code@imgProc@threshold@threshold.py@.PATH_END.py |
{
"filename": "test_plugin.py",
"repo_name": "simonsobs/nextline-schedule",
"repo_path": "nextline-schedule_extracted/nextline-schedule-main/tests/test_plugin.py",
"type": "Python"
} | import asyncio
from collections.abc import AsyncIterator
import pytest
from pytest_httpx import HTTPXMock
from nextline_schedule.graphql import (
MUTATE_AUTO_MODE_TURN_OFF,
MUTATE_AUTO_MODE_TURN_ON,
QUERY_AUTO_MODE_STATE,
QUERY_SCHEDULER,
SUBSCRIBE_AUTO_MODE_STATE,
)
from nextlinegraphql import cr... | simonsobsREPO_NAMEnextline-schedulePATH_START.@nextline-schedule_extracted@nextline-schedule-main@tests@test_plugin.py@.PATH_END.py |
{
"filename": "measure.py",
"repo_name": "LSSTDESC/chroma",
"repo_path": "chroma_extracted/chroma-master/chroma/measure.py",
"type": "Python"
} | import lmfit
import numpy as np
try:
import astropy.io.fits as fits
except:
import pyfits as fits
import galsim
import chroma
class EllipMeasurer(object):
""" Abstract base class for ellipticity measurer, which measures the ellipticities of ring
test target images, and optionally writes best-fit image... | LSSTDESCREPO_NAMEchromaPATH_START.@chroma_extracted@chroma-master@chroma@measure.py@.PATH_END.py |
{
"filename": "_orientation.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/bar/marker/colorbar/_orientation.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class OrientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="orientation", parent_name="bar.marker.colorbar", **kwargs
):
super(OrientationValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@bar@marker@colorbar@_orientation.py@.PATH_END.py |
{
"filename": "_lineposition.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/ternary/caxis/title/font/_lineposition.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LinepositionValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(
self,
plotly_name="lineposition",
parent_name="layout.ternary.caxis.title.font",
**kwargs,
):
super(LinepositionValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@ternary@caxis@title@font@_lineposition.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "dstndstn/tractor",
"repo_path": "tractor_extracted/tractor-main/doc/conf.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
#
# Tractor documentation build configuration file, created by
# sphinx-quickstart on Sat Jun 18 08:17:34 2011.
#
# 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... | dstndstnREPO_NAMEtractorPATH_START.@tractor_extracted@tractor-main@doc@conf.py@.PATH_END.py |
{
"filename": "make_assets.py",
"repo_name": "pytorch/vision",
"repo_path": "vision_extracted/vision-main/ios/VisionTestApp/make_assets.py",
"type": "Python"
} | import torch
from torch.utils.mobile_optimizer import optimize_for_mobile
from torchvision.models.detection import (
fasterrcnn_mobilenet_v3_large_320_fpn,
FasterRCNN_MobileNet_V3_Large_320_FPN_Weights,
)
print(torch.__version__)
model = fasterrcnn_mobilenet_v3_large_320_fpn(
weights=FasterRCNN_MobileNet_... | pytorchREPO_NAMEvisionPATH_START.@vision_extracted@vision-main@ios@VisionTestApp@make_assets.py@.PATH_END.py |
{
"filename": "plot.py",
"repo_name": "astrom-tom/specstack",
"repo_path": "specstack_extracted/specstack-master/specstack/plot.py",
"type": "Python"
} | '''
specstack module
-----------------
File: ploy.py
This file configures the plotting lines
@author: R. THOMAS
@year: 2019
@place: ESO
@License: GPL v3.0 - see LICENCE.txt
'''
#### Python third party
import matplotlib.pyplot as plt
def plot(grid, stacked, std, ermean, indiv, grid_indiv):
'''
Function t... | astrom-tomREPO_NAMEspecstackPATH_START.@specstack_extracted@specstack-master@specstack@plot.py@.PATH_END.py |
{
"filename": "redcal_inspect_2458061.ipynb",
"repo_name": "HERA-Team/H1C_IDR3_Notebooks",
"repo_path": "H1C_IDR3_Notebooks-main/redcal_inspect/redcal_inspect_2458061.ipynb",
"type": "Jupyter Notebook"
} | # Stage 2 Redundant Calibration Nightly Notebook
**Josh Dillon**, Last Revised 7/30/20
```python
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
from hera_cal import io, redcal, apply_cal
from hera_qm.metrics_io import load_metric_file
import glob
import os
from copy import deepcopy
import inspe... | HERA-TeamREPO_NAMEH1C_IDR3_NotebooksPATH_START.@H1C_IDR3_Notebooks-main@redcal_inspect@redcal_inspect_2458061.ipynb@.PATH_END.py |
{
"filename": "run_all.py",
"repo_name": "eggplantbren/RMHB",
"repo_path": "RMHB_extracted/RMHB-master/Code/run_all.py",
"type": "Python"
} | from pylab import *
rc("font", size=16, family="serif", serif="Computer Sans")
rc("text", usetex=True)
def ccf(data1, data2, log10_tau, delta=0.1):
"""
Get the cross-correlation between log10_tau and log10_tau + delta
"""
s = 0.
c_bar = data1[:,1].mean()
nl = data2.shape[0]
# Loop over line measurements
for... | eggplantbrenREPO_NAMERMHBPATH_START.@RMHB_extracted@RMHB-master@Code@run_all.py@.PATH_END.py |
{
"filename": "convolution.py",
"repo_name": "annadeg/jwst-msafit",
"repo_path": "jwst-msafit_extracted/jwst-msafit-main/msafit/utils/convolution.py",
"type": "Python"
} | import numpy as np
__all__ = ["extend_hypercube","convolve_cube_psf"]
def multiply_arrays(cube_arr,psf_arr,out_arr=None):
if len(cube_arr.shape)==3:
return np.multiply(cube_arr[:,:,:,np.newaxis,np.newaxis], psf_arr,out=out_arr)
elif len(cube_arr.shape)==2:
return np.multiply(cube_arr[np.newa... | annadegREPO_NAMEjwst-msafitPATH_START.@jwst-msafit_extracted@jwst-msafit-main@msafit@utils@convolution.py@.PATH_END.py |
{
"filename": "feffdat.py",
"repo_name": "xraypy/xraylarch",
"repo_path": "xraylarch_extracted/xraylarch-master/larch/xafs/feffdat.py",
"type": "Python"
} | #!/usr/bin/env python
"""
feffdat provides the following function related to
reading and dealing with Feff.data files in larch:
path1 = read_feffdat('feffNNNN.dat')
returns a Feff Group -- a special variation of a Group -- for
the path represented by the feffNNNN.dat
group = ff2chi(paths)
creates a group that... | xraypyREPO_NAMExraylarchPATH_START.@xraylarch_extracted@xraylarch-master@larch@xafs@feffdat.py@.PATH_END.py |
{
"filename": "mask.py",
"repo_name": "CosmoStat/shapepipe",
"repo_path": "shapepipe_extracted/shapepipe-master/shapepipe/modules/mask_package/mask.py",
"type": "Python"
} | """MASK.
This module contains a class to create star mask for an image.
:Authors: Axel Guinot, Martin Kilbinger
"""
import os
import re
import numpy as np
from astropy import units, wcs
from astropy.coordinates import SkyCoord
from astropy.io import fits
from shapepipe.pipeline import file_io
from shapepipe.pipel... | CosmoStatREPO_NAMEshapepipePATH_START.@shapepipe_extracted@shapepipe-master@shapepipe@modules@mask_package@mask.py@.PATH_END.py |
{
"filename": "h5py_wrap.py",
"repo_name": "galtay/rabacus",
"repo_path": "rabacus_extracted/rabacus-master/rabacus/hdf5/h5py_wrap.py",
"type": "Python"
} | """ Simple convenience functions to access the h5py library. """
import sys
import h5py
import numpy as np
__all__ = ['ra', 'raa', 'rd', 'wd', 'wa', 'cg']
class Error(Exception):
"""Base class for exceptions in this module."""
pass
class OverwriteError(Error):
"""Exception raised for attempting to o... | galtayREPO_NAMErabacusPATH_START.@rabacus_extracted@rabacus-master@rabacus@hdf5@h5py_wrap.py@.PATH_END.py |
{
"filename": "act_hsc_2018.py",
"repo_name": "dylancromer/maszcal",
"repo_path": "maszcal_extracted/maszcal-main/spec/data/obs/act_hsc_2018.py",
"type": "Python"
} | import numpy as np
from maszcal.data.obs import ActHsc2018
def describe_act_hsc_2018():
def describe_covariance():
def it_loads_the_covariance_matrix():
DIR = 'data/act-hsc/'
radii = np.logspace(0, 1, 10)
cov = ActHsc2018.covariance(DIR, radii)
assert i... | dylancromerREPO_NAMEmaszcalPATH_START.@maszcal_extracted@maszcal-main@spec@data@obs@act_hsc_2018.py@.PATH_END.py |
{
"filename": "sineWave_degrees.py",
"repo_name": "cjekel/piecewise_linear_fit_py",
"repo_path": "piecewise_linear_fit_py_extracted/piecewise_linear_fit_py-master/examples/sineWave_degrees.py",
"type": "Python"
} | # import our libraries
import numpy as np
import matplotlib.pyplot as plt
import pwlf
# generate sin wave data
x = np.linspace(0, 10, num=100)
y = np.sin(x * np.pi / 2)
# add noise to the data
y = np.random.normal(0, 0.05, 100) + y
# initialize piecewise linear fit with your x and y data
# pwlf lets you fit continuou... | cjekelREPO_NAMEpiecewise_linear_fit_pyPATH_START.@piecewise_linear_fit_py_extracted@piecewise_linear_fit_py-master@examples@sineWave_degrees.py@.PATH_END.py |
{
"filename": "_transition.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/slider/_transition.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TransitionValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="transition", parent_name="layout.slider", **kwargs):
super(TransitionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@slider@_transition.py@.PATH_END.py |
{
"filename": "_bgcolor.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/updatemenu/_bgcolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="bgcolor", parent_name="layout.updatemenu", **kwargs
):
super(BgcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@updatemenu@_bgcolor.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "mbursa/sim5",
"repo_path": "sim5_extracted/sim5-master/python/__init__.py",
"type": "Python"
} | mbursaREPO_NAMEsim5PATH_START.@sim5_extracted@sim5-master@python@__init__.py@.PATH_END.py | |
{
"filename": "__init__.py",
"repo_name": "astropy/reproject",
"repo_path": "reproject_extracted/reproject-main/reproject/mosaicking/__init__.py",
"type": "Python"
} | from .coadd import * # noqa
from .wcs_helpers import * # noqa
| astropyREPO_NAMEreprojectPATH_START.@reproject_extracted@reproject-main@reproject@mosaicking@__init__.py@.PATH_END.py |
{
"filename": "mpl_plot_kde_2d.py",
"repo_name": "arviz-devs/arviz",
"repo_path": "arviz_extracted/arviz-main/examples/matplotlib/mpl_plot_kde_2d.py",
"type": "Python"
} | """
2D KDE
======
_gallery_category: Distributions
"""
import matplotlib.pyplot as plt
import numpy as np
import arviz as az
az.style.use("arviz-doc")
az.plot_kde(
np.random.beta(2, 5, size=100),
np.random.beta(2, 5, size=100),
contour_kwargs={"colors": None, "cmap": plt.cm.viridis, "levels": 30},
c... | arviz-devsREPO_NAMEarvizPATH_START.@arviz_extracted@arviz-main@examples@matplotlib@mpl_plot_kde_2d.py@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/layout/_font.py",
"type": "Python"
} | from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
import copy as _copy
class Font(_BaseLayoutHierarchyType):
# class properties
# --------------------
_parent_path_str = "layout"
_path_str = "layout.font"
_valid_props = {
"color",
"family",
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@layout@_font.py@.PATH_END.py |
{
"filename": "StartBokeh.py",
"repo_name": "Keck-DataReductionPipelines/KCWI_DRP",
"repo_path": "KCWI_DRP_extracted/KCWI_DRP-master/kcwidrp/primitives/StartBokeh.py",
"type": "Python"
} | from keckdrpframework.primitives.base_primitive import BasePrimitive
from bokeh.client import pull_session
from bokeh.plotting.figure import figure
from bokeh.layouts import column
class StartBokeh(BasePrimitive):
"""
Start the bokeh server for the KCWI DRP.
This is enabled through the ``enable_bokeh`` ... | Keck-DataReductionPipelinesREPO_NAMEKCWI_DRPPATH_START.@KCWI_DRP_extracted@KCWI_DRP-master@kcwidrp@primitives@StartBokeh.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/indicator/title/font/_shadow.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShadowValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="shadow", parent_name="indicator.title.font", **kwargs
):
super(ShadowValidator, self).__init__(
plotly_name=plotly_name,
parent_name... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@indicator@title@font@_shadow.py@.PATH_END.py |
{
"filename": "tests.py",
"repo_name": "spedas/pyspedas",
"repo_path": "pyspedas_extracted/pyspedas-master/pyspedas/projects/goes/tests/tests.py",
"type": "Python"
} | import os
import unittest
from pytplot import data_exists, tnames
import pyspedas
from pytplot import del_data, tplot
class LoadTestCases(unittest.TestCase):
def test_downloadonly(self):
del_data()
mag_files = pyspedas.projects.goes.fgm(datatype="1min", downloadonly=True)
self.assertTrue... | spedasREPO_NAMEpyspedasPATH_START.@pyspedas_extracted@pyspedas-master@pyspedas@projects@goes@tests@tests.py@.PATH_END.py |
{
"filename": "random_shuffle_queue_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/kernel_tests/random/random_shuffle_queue_test.py",
"type": "Python"
} | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@kernel_tests@random@random_shuffle_queue_test.py@.PATH_END.py |
{
"filename": "mk_ray_trace_groups.py",
"repo_name": "Swift-BAT/NITRATES",
"repo_path": "NITRATES_extracted/NITRATES-main/nitrates/HeasoftTools/mk_ray_trace_groups.py",
"type": "Python"
} | import os
import subprocess
from ..HeasoftTools.gen_tools import run_ftool, ftool_mp
import argparse
import numpy as np
import time
from astropy.table import Table
import pandas as pd
def run_ftjoin_mp(dname, dname2, fnames, nproc):
ftool = "ftjoin"
arg_lists = []
for fname in fnames:
arg_list =... | Swift-BATREPO_NAMENITRATESPATH_START.@NITRATES_extracted@NITRATES-main@nitrates@HeasoftTools@mk_ray_trace_groups.py@.PATH_END.py |
{
"filename": "_thickness.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/indicator/gauge/step/_thickness.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="thickness", parent_name="indicator.gauge.step", **kwargs
):
super(ThicknessValidator, self).__init__(
plotly_name=plotly_name,
pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@indicator@gauge@step@_thickness.py@.PATH_END.py |
{
"filename": "slit.py",
"repo_name": "mtalapinto/moes",
"repo_path": "carmenes/optics/slit.py",
"type": "Python"
} | import numpy as np
def slit_params_init(H, DC, dec_x, dec_y, defocus):
H[:, 0] += dec_x
H[:, 1] += dec_y
H[:, 2] += defocus
DC[:, 0] = 0.
DC[:, 1] = 0.
DC[:, 2] = 1.
return H, DC
def interp(x0, y0, x1, y1, n):
if x0 == x1 and y0 < y1:
s = np.sqrt((x0 - x1) ** 2 + (y0 - y... | mtalapintoREPO_NAMEmoesPATH_START.@carmenes@optics@slit.py@.PATH_END.py |
{
"filename": "_matfuncs.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/linalg/_matfuncs.py",
"type": "Python"
} | #
# Author: Travis Oliphant, March 2002
#
import warnings
from itertools import product
import numpy as np
from numpy import (dot, diag, prod, logical_not, ravel, transpose,
conjugate, absolute, amax, sign, isfinite, triu)
# Local imports
from scipy.linalg import LinAlgError, bandwidth
from ._misc ... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@linalg@_matfuncs.py@.PATH_END.py |
{
"filename": "utility.py",
"repo_name": "lsst-uk/sky-estimation-WP3.7",
"repo_path": "sky-estimation-WP3.7_extracted/sky-estimation-WP3.7-master/measureMetrics/utility.py",
"type": "Python"
} | '''
A variety of useful functions that don't belong anywhere else.
'''
import numpy as np
import astropy
import astropy.coordinates as coord
import pandas as pd
from scipy.special import gamma, gammaincinv
def matchTables(table1, table2,
table1Ra = 'ra', table1Dec = 'dec', table1Unit = 'deg',
... | lsst-ukREPO_NAMEsky-estimation-WP3.7PATH_START.@sky-estimation-WP3.7_extracted@sky-estimation-WP3.7-master@measureMetrics@utility.py@.PATH_END.py |
{
"filename": "_size.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/ternary/baxis/title/font/_size.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="size",
parent_name="layout.ternary.baxis.title.font",
**kwargs,
):
super(SizeValidator, self).__init__(
plotly_name=plotly... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@ternary@baxis@title@font@_size.py@.PATH_END.py |
{
"filename": "vzsamp.py",
"repo_name": "veusz/veusz",
"repo_path": "veusz_extracted/veusz-master/veusz/utils/vzsamp.py",
"type": "Python"
} | # Copyright (C) 2012 Science and Technology Facilities Council.
#
# 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 2 of the License, or
# (at your option) any later ... | veuszREPO_NAMEveuszPATH_START.@veusz_extracted@veusz-master@veusz@utils@vzsamp.py@.PATH_END.py |
{
"filename": "test_svar.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/statsmodels/tsa/vector_ar/tests/test_svar.py",
"type": "Python"
} | """
Test SVAR estimation
"""
from statsmodels.compat.platform import PLATFORM_WIN
import numpy as np
from numpy.testing import assert_allclose, assert_almost_equal
import pytest
import statsmodels.datasets.macrodata
from statsmodels.tsa.vector_ar.svar_model import SVAR
DECIMAL_6 = 6
DECIMAL_5 = 5
DECIMAL_4 = 4
cla... | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@statsmodels@tsa@vector_ar@tests@test_svar.py@.PATH_END.py |
{
"filename": "Example_2_Files.ipynb",
"repo_name": "MarcoMuellner/SMURFS",
"repo_path": "SMURFS_extracted/SMURFS-master/notebook_examples/Example_2_Files.ipynb",
"type": "Jupyter Notebook"
} | # Example 2: Using files
Smurfs can also deal with ASCII files. Except for the conversion into magnitude and sigma clipping, no reduction is applied.
```python
%matplotlib notebook
import os
os.chdir("..")
from smurfs import Smurfs
```
```python
s = Smurfs(file='tests/test_files/testFile.dat')
```
[7;37;40m ... | MarcoMuellnerREPO_NAMESMURFSPATH_START.@SMURFS_extracted@SMURFS-master@notebook_examples@Example_2_Files.ipynb@.PATH_END.py |
{
"filename": "problems.py",
"repo_name": "minkailin/stratsi",
"repo_path": "stratsi_extracted/stratsi-master/dedalus_repo/dedalus/core/problems.py",
"type": "Python"
} | """
Classes for representing systems of equations.
"""
from collections import OrderedDict
import numpy as np
from mpi4py import MPI
from .metadata import MultiDict, Metadata
from . import field
from .field import Operand
from . import future
from . import operators
from . import solvers
from ..tools import parsing
... | minkailinREPO_NAMEstratsiPATH_START.@stratsi_extracted@stratsi-master@dedalus_repo@dedalus@core@problems.py@.PATH_END.py |
{
"filename": "npairs_jackknife_3d.py",
"repo_name": "astropy/halotools",
"repo_path": "halotools_extracted/halotools-master/halotools/mock_observables/pair_counters/npairs_jackknife_3d.py",
"type": "Python"
} | r""" Module containing the `~halotools.mock_observables.npairs_jackknife_3d` function
used to estimate errors in the `~halotools.mock_observables.tpcf` function.
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
import multiprocessing
from functools import partia... | astropyREPO_NAMEhalotoolsPATH_START.@halotools_extracted@halotools-master@halotools@mock_observables@pair_counters@npairs_jackknife_3d.py@.PATH_END.py |
{
"filename": "_fgopacity.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/treemap/marker/pattern/_fgopacity.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FgopacityValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="fgopacity", parent_name="treemap.marker.pattern", **kwargs
):
super(FgopacityValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@treemap@marker@pattern@_fgopacity.py@.PATH_END.py |
{
"filename": "parallax.py",
"repo_name": "tvwenger/kd",
"repo_path": "kd_extracted/kd-master/kd/parallax.py",
"type": "Python"
} | #!/usr/bin/env python
"""
parallax.py
Utility to calculate parallax distances the traditional way.
Copyright(C) 2017-2021 by
Trey V. Wenger; tvwenger@gmail.com
GNU General Public License v3 (GNU GPLv3)
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public ... | tvwengerREPO_NAMEkdPATH_START.@kd_extracted@kd-master@kd@parallax.py@.PATH_END.py |
{
"filename": "Jpeg2KImagePlugin.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pillow/py3/PIL/Jpeg2KImagePlugin.py",
"type": "Python"
} | #
# The Python Imaging Library
# $Id$
#
# JPEG2000 file handling
#
# History:
# 2014-03-12 ajh Created
# 2021-06-30 rogermb Extract dpi information from the 'resc' header box
#
# Copyright (c) 2014 Coriolis Systems Limited
# Copyright (c) 2014 Alastair Houghton
#
# See the README file for information on usage and red... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pillow@py3@PIL@Jpeg2KImagePlugin.py@.PATH_END.py |
{
"filename": "_stream.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/streamtube/_stream.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="stream", parent_name="streamtube", **kwargs):
super(StreamValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@streamtube@_stream.py@.PATH_END.py |
{
"filename": "_thickness.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/heatmapgl/colorbar/_thickness.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="thickness", parent_name="heatmapgl.colorbar", **kwargs
):
super(ThicknessValidator, self).__init__(
plotly_name=plotly_name,
pare... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@heatmapgl@colorbar@_thickness.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/scatterpolar/line/_width.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="width", parent_name="scatterpolar.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@scatterpolar@line@_width.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "cpinte/casa_cube",
"repo_path": "casa_cube_extracted/casa_cube-master/casa_cube/__init__.py",
"type": "Python"
} | __version__ = "0.1"
from .cube import *
from .molex import *
| cpinteREPO_NAMEcasa_cubePATH_START.@casa_cube_extracted@casa_cube-master@casa_cube@__init__.py@.PATH_END.py |
{
"filename": "cat_egs_groth.py",
"repo_name": "HETDEX/elixer",
"repo_path": "elixer_extracted/elixer-main/elixer/cat_egs_groth.py",
"type": "Python"
} | from __future__ import print_function
#keep it simple for now. Put base class and all children in here.
#Later, create a proper package
try:
from elixer import global_config as G
from elixer import science_image
from elixer import cat_base
from elixer import match_summary
from elixer import utiliti... | HETDEXREPO_NAMEelixerPATH_START.@elixer_extracted@elixer-main@elixer@cat_egs_groth.py@.PATH_END.py |
{
"filename": "Tloss_Pkeep.ipynb",
"repo_name": "ahermosillo/stochastic-randommigration",
"repo_path": "stochastic-randommigration_extracted/stochastic-randommigration-main/manybodies/Tloss_Pkeep.ipynb",
"type": "Jupyter Notebook"
} | ```python
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.pylab as pylb
from matplotlib.ticker import FuncFormatter
from matplotlib.ticker import (MultipleLocator, AutoMinorLocator)
from matplotlib.gridspec import GridSpec
from scipy.optimize import curve_fit
%matplotlib inline
plt.style.use('/User... | ahermosilloREPO_NAMEstochastic-randommigrationPATH_START.@stochastic-randommigration_extracted@stochastic-randommigration-main@manybodies@Tloss_Pkeep.ipynb@.PATH_END.py |
{
"filename": "scikit_kfold_training.py",
"repo_name": "zkdtc/MLC_ELGs",
"repo_path": "MLC_ELGs_extracted/MLC_ELGs-master/scikit_kfold_training.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Run the code as
python3 scikit_kfold_training.py'rf' 'multi'
"""
import os,sys
import numpy as np
from sklearn import svm
n_input_pars=8
n_output_pars=4
from sklearn.neighbors import KNeighborsClassifier
from xgboost import XGBClassifier
import copy
from astropy.table import Table
import ... | zkdtcREPO_NAMEMLC_ELGsPATH_START.@MLC_ELGs_extracted@MLC_ELGs-master@scikit_kfold_training.py@.PATH_END.py |
{
"filename": "test_ingest_runner.py",
"repo_name": "lsst-uk/lasair-lsst",
"repo_path": "lasair-lsst_extracted/lasair-lsst-main/tests/unit/pipeline/ingest/test_ingest_runner.py",
"type": "Python"
} | """Unit tests for ingest runner
"""
import unittest
import unittest.mock
from unittest.mock import patch
import context
import ingest_runner
import ingest
class RunnerTest(unittest.TestCase):
@patch('ingest.Ingester')
@patch('ingest_runner.lasairLogging')
def test_run_ingest(self, mock_logging, mock_ing... | lsst-ukREPO_NAMElasair-lsstPATH_START.@lasair-lsst_extracted@lasair-lsst-main@tests@unit@pipeline@ingest@test_ingest_runner.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "vmmunoza/nuHawkHunter",
"repo_path": "nuHawkHunter_extracted/nuHawkHunter-master/README.md",
"type": "Markdown"
} | # νHawkHunter
[](https://www.zenodo.org/badge/latestdoi/364986991)
[](http://arxiv.org/abs/2203.14979)
[![License: MIT](https://img.s... | vmmunozaREPO_NAMEnuHawkHunterPATH_START.@nuHawkHunter_extracted@nuHawkHunter-master@README.md@.PATH_END.py |
{
"filename": "_variant.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/isosurface/colorbar/title/font/_variant.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VariantValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="variant",
parent_name="isosurface.colorbar.title.font",
**kwargs,
):
super(VariantValidator, self).__init__(
plotly... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@isosurface@colorbar@title@font@_variant.py@.PATH_END.py |
{
"filename": "torch_test_contrib_gpu.py",
"repo_name": "facebookresearch/faiss",
"repo_path": "faiss_extracted/faiss-main/faiss/gpu/test/torch_test_contrib_gpu.py",
"type": "Python"
} | # Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import unittest
import numpy as np
import faiss
import faiss.contrib.torch_utils
from faiss.contrib import datasets
from faiss... | facebookresearchREPO_NAMEfaissPATH_START.@faiss_extracted@faiss-main@faiss@gpu@test@torch_test_contrib_gpu.py@.PATH_END.py |
{
"filename": "data_adapter.py",
"repo_name": "fchollet/keras",
"repo_path": "keras_extracted/keras-master/keras/src/trainers/data_adapters/data_adapter.py",
"type": "Python"
} | class DataAdapter:
"""Base class for input data adapters.
The purpose of a DataAdapter is to provide a unified interface to
iterate over input data provided in a variety of formats -- such as
NumPy arrays, tf.Tensors, tf.data.Datasets, Keras PyDatasets, etc.
"""
def get_numpy_iterator(self):
... | fcholletREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@trainers@data_adapters@data_adapter.py@.PATH_END.py |
{
"filename": "tile.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/lite/testing/op_tests/tile.py",
"type": "Python"
} | # Copyright 2019 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@lite@testing@op_tests@tile.py@.PATH_END.py |
{
"filename": "test_wavecal_nuv_g230l.py",
"repo_name": "spacetelescope/calcos",
"repo_path": "calcos_extracted/calcos-master/tests/test_wavecal_nuv_g230l.py",
"type": "Python"
} | """Tests for COS/NUV G230L wavecal."""
import pytest
import calcos
from helpers import BaseCOS
# TODO: Mark this as slow when there are faster tests added for CI tests
# so that this only runs in nightly tests.
@pytest.mark.slow
class TestWavecalNUVG230L(BaseCOS):
detector = 'nuv'
def test_wavecal_nu... | spacetelescopeREPO_NAMEcalcosPATH_START.@calcos_extracted@calcos-master@tests@test_wavecal_nuv_g230l.py@.PATH_END.py |
{
"filename": "Graphics--MapProjections.ipynb",
"repo_name": "jrenaud90/TidalPy",
"repo_path": "TidalPy_extracted/TidalPy-main/Demos/Graphics--MapProjections.ipynb",
"type": "Jupyter Notebook"
} | # TidalPy Surface Maps and Projection Plotting
Most models used in TidalPy calculate results in spherical coordinates on evenly spaced grids in latitude and longitude. This data can be displayed in a box format, but often other projections are more visually accurate since surface area is compressed at the poles. It is ... | jrenaud90REPO_NAMETidalPyPATH_START.@TidalPy_extracted@TidalPy-main@Demos@Graphics--MapProjections.ipynb@.PATH_END.py |
{
"filename": "mathutils.py",
"repo_name": "rodluger/everest",
"repo_path": "everest_extracted/everest-master/everest/mathutils.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
:py:mod:`mathutils.py` - Math utils
-----------------------------------
Miscellaneous math utilities used throughout the code.
'''
from __future__ import division, print_function, absolute_import, \
unicode_literals
import numpy as np
from scipy.signal import me... | rodlugerREPO_NAMEeverestPATH_START.@everest_extracted@everest-master@everest@mathutils.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "transientskp/tkp",
"repo_path": "tkp_extracted/tkp-master/tkp/bin/__init__.py",
"type": "Python"
} | transientskpREPO_NAMEtkpPATH_START.@tkp_extracted@tkp-master@tkp@bin@__init__.py@.PATH_END.py | |
{
"filename": "test_mdet_regression.py",
"repo_name": "esheldon/ngmix",
"repo_path": "ngmix_extracted/ngmix-master/mdet_tests/test_mdet_regression.py",
"type": "Python"
} | import os
import sys
import copy
import glob
import logging
import pytest
import numpy as np
import galsim
import fitsio
import ngmix
from metadetect.metadetect import Metadetect
# setup logging
for lib in [__name__, 'ngmix', 'metadetect']:
lgr = logging.getLogger(lib)
hdr = logging.StreamHandler(sys.stdout... | esheldonREPO_NAMEngmixPATH_START.@ngmix_extracted@ngmix-master@mdet_tests@test_mdet_regression.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "POSYDON-code/POSYDON",
"repo_path": "POSYDON_extracted/POSYDON-main/posydon/active_learning/psy_cris/synthetic_data/__init__.py",
"type": "Python"
} | POSYDON-codeREPO_NAMEPOSYDONPATH_START.@POSYDON_extracted@POSYDON-main@posydon@active_learning@psy_cris@synthetic_data@__init__.py@.PATH_END.py | |
{
"filename": "const.py",
"repo_name": "atomdb/pyatomdb",
"repo_path": "pyatomdb_extracted/pyatomdb-master/pyatomdb/pyatomdb/const.py",
"type": "Python"
} | """
This contains a list of constants, both physical and apec code related.
Version 0.1 - initial release
Adam Foster July 17th 2015
"""
#PHYSICAL CONSTANTS
KBOLTZ = 8.617385e-8# /*!< in units of keV/K *== 1/(11604.5*1000)/
M_E = 2.7182818284590452354 # /*!< Euler e */
UPSILON_COLL_COEFF = 8.629e-6 # /*!< sqrt{2 pi ... | atomdbREPO_NAMEpyatomdbPATH_START.@pyatomdb_extracted@pyatomdb-master@pyatomdb@pyatomdb@const.py@.PATH_END.py |
{
"filename": "_width.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/histogram2dcontour/line/_width.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="width", parent_name="histogram2dcontour.line", **kwargs
):
super(WidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@histogram2dcontour@line@_width.py@.PATH_END.py |
{
"filename": "subch_zoom.py",
"repo_name": "AMReX-Astro/Castro",
"repo_path": "Castro_extracted/Castro-main/Exec/science/subchandra/analysis/subch_zoom.py",
"type": "Python"
} | #!/usr/bin/env python3
import argparse
import os
import sys
from functools import reduce
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.axes_grid1 import ImageGrid
import yt
from yt.fields.derived_field import ValidateSpatial
from yt.frontends.boxlib.api import CastroDataset
f... | AMReX-AstroREPO_NAMECastroPATH_START.@Castro_extracted@Castro-main@Exec@science@subchandra@analysis@subch_zoom.py@.PATH_END.py |
{
"filename": "tval.py",
"repo_name": "petigura/terra",
"repo_path": "terra_extracted/terra-master/terra/tval.py",
"type": "Python"
} | """
Transit Validation
After the brute force period search yeilds candidate periods,
functions in this module will check for transit-like signature.
"""
import numpy as np
from numpy import ma
from scipy import ndimage as nd
from scipy.spatial import cKDTree
from matplotlib import mlab
import h5py
import pandas as ... | petiguraREPO_NAMEterraPATH_START.@terra_extracted@terra-master@terra@tval.py@.PATH_END.py |
{
"filename": "2024_08_14_145052_f93e1439f022_add_deployment_concurrency_limit.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/src/prefect/server/database/_migrations/versions/sqlite/2024_08_14_145052_f93e1439f022_add_deployment_concurrency_limit.py",
"type": "Python"
} | """add_deployment_concurrency_limit
Revision ID: f93e1439f022
Revises: 354f1ede7e9f
Create Date: 2024-08-14 14:50:52.420436
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "f93e1439f022"
down_revision = "354f1ede7e9f"
branch_labels = None
depends_on = None
def... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@src@prefect@server@database@_migrations@versions@sqlite@2024_08_14_145052_f93e1439f022_add_deployment_concurrency_limit.py@.PATH_END.py |
{
"filename": "_hovertemplate.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/histogram/_hovertemplate.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="hovertemplate", parent_name="histogram", **kwargs):
super(HovertemplateValidator, self).__init__(
plotly_name=plotly_name,
parent_name=par... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@histogram@_hovertemplate.py@.PATH_END.py |
{
"filename": "_maxzoom.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattermapbox/cluster/_maxzoom.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MaxzoomValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="maxzoom", parent_name="scattermapbox.cluster", **kwargs
):
super(MaxzoomValidator, self).__init__(
plotly_name=plotly_name,
parent_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattermapbox@cluster@_maxzoom.py@.PATH_END.py |
{
"filename": "ClassMoresaneSingleSlice.py",
"repo_name": "saopicc/DDFacet",
"repo_path": "DDFacet_extracted/DDFacet-master/DDFacet/Imager/MultiSliceDeconv/MORESANE/ClassMoresaneSingleSlice.py",
"type": "Python"
} | '''
DDFacet, a facet-based radio imaging package
Copyright (C) 2013-2016 Cyril Tasse, l'Observatoire de Paris,
SKA South Africa, Rhodes University
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; eit... | saopiccREPO_NAMEDDFacetPATH_START.@DDFacet_extracted@DDFacet-master@DDFacet@Imager@MultiSliceDeconv@MORESANE@ClassMoresaneSingleSlice.py@.PATH_END.py |
{
"filename": "gen_control_flow_v1.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/core/tfrt/saved_model/tests/gen_control_flow_v1.py",
"type": "Python"
} | # Copyright 2021 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@core@tfrt@saved_model@tests@gen_control_flow_v1.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "StingraySoftware/stingray",
"repo_path": "stingray_extracted/stingray-main/stingray/modeling/__init__.py",
"type": "Python"
} | # Licensed under MIT license - see LICENSE.rst
# Affiliated packages may add whatever they like to this file, but
# should keep this content at the top.
# ----------------------------------------------------------------------------
from .._astropy_init import *
# ------------------------------------------------------... | StingraySoftwareREPO_NAMEstingrayPATH_START.@stingray_extracted@stingray-main@stingray@modeling@__init__.py@.PATH_END.py |
{
"filename": "_size.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/parcoords/line/colorbar/title/font/_size.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="size",
parent_name="parcoords.line.colorbar.title.font",
**kwargs,
):
super(SizeValidator, self).__init__(
plotly_name=plo... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@parcoords@line@colorbar@title@font@_size.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "brinckmann/montepython_public",
"repo_path": "montepython_public_extracted/montepython_public-master/montepython/likelihoods/cosmic_clocks_BC03_all/__init__.py",
"type": "Python"
} | from montepython.likelihood_class import Likelihood_clocks
class cosmic_clocks_BC03_all(Likelihood_clocks):
pass
| brinckmannREPO_NAMEmontepython_publicPATH_START.@montepython_public_extracted@montepython_public-master@montepython@likelihoods@cosmic_clocks_BC03_all@__init__.py@.PATH_END.py |
{
"filename": "luminosity.py",
"repo_name": "pynbody/pynbody",
"repo_path": "pynbody_extracted/pynbody-master/pynbody/analysis/luminosity.py",
"type": "Python"
} | """
Routines and derived arrays for calculating luminosities and magnitudes.
.. versionchanged:: 2.0
Luminosity tables are now generated directly from the output of the STEV/CMD web interface.
The default tables are updated to more modern stellar population tracks (May 2024). This
will result in different magni... | pynbodyREPO_NAMEpynbodyPATH_START.@pynbody_extracted@pynbody-master@pynbody@analysis@luminosity.py@.PATH_END.py |
{
"filename": "parser.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/fonttools/fontTools/voltLib/parser.py",
"type": "Python"
} | import fontTools.voltLib.ast as ast
from fontTools.voltLib.lexer import Lexer
from fontTools.voltLib.error import VoltLibError
from io import open
PARSE_FUNCS = {
"DEF_GLYPH": "parse_def_glyph_",
"DEF_GROUP": "parse_def_group_",
"DEF_SCRIPT": "parse_def_script_",
"DEF_LOOKUP": "parse_def_lookup_",
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@fonttools@fontTools@voltLib@parser.py@.PATH_END.py |
{
"filename": "extract_test.py",
"repo_name": "vaexio/vaex",
"repo_path": "vaex_extracted/vaex-master/tests/extract_test.py",
"type": "Python"
} | from concurrent.futures import ThreadPoolExecutor
from threading import Barrier
import pytest
from common import *
def test_extract(ds_local, ds_trimmed):
ds = ds_local
ds_extracted = ds.extract()
ds_extracted.x.tolist() == ds_trimmed.x.tolist()
ds_extracted.x.tolist() == np.arange(10.).tolist()
as... | vaexioREPO_NAMEvaexPATH_START.@vaex_extracted@vaex-master@tests@extract_test.py@.PATH_END.py |
{
"filename": "CONTRIBUTING.md",
"repo_name": "AmpelAstro/Ampel-contrib-sample",
"repo_path": "Ampel-contrib-sample_extracted/Ampel-contrib-sample-master/CONTRIBUTING.md",
"type": "Markdown"
} |
# Style guidelines
## Use pre-commit
Pre-commit hooks check your commits for obvious mistakes like invalid
syntax in Python or JSON files. [Install pre-commit on your
machine](https://pre-commit.com/#installation), then activate the
hooks with `pre-commit install`. The configured hooks will then
run before every c... | AmpelAstroREPO_NAMEAmpel-contrib-samplePATH_START.@Ampel-contrib-sample_extracted@Ampel-contrib-sample-master@CONTRIBUTING.md@.PATH_END.py |
{
"filename": "_tickcolor.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/choropleth/colorbar/_tickcolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="tickcolor", parent_name="choropleth.colorbar", **kwargs
):
super(TickcolorValidator, self).__init__(
plotly_name=plotly_name,
pare... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@choropleth@colorbar@_tickcolor.py@.PATH_END.py |
{
"filename": "manip_ops.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/ops/manip_ops.py",
"type": "Python"
} | # Copyright 2015 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@manip_ops.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "jan-rybizki/Galaxia_wrap",
"repo_path": "Galaxia_wrap_extracted/Galaxia_wrap-master/notebook/README.md",
"type": "Markdown"
} | ## Galaxia wrap notebooks roadmap
You can load the notebooks using ``jupyter notebook`` and then change the content interactively, once you downloaded this repository.
You can also just have a look at them here on github.
**Legacy GDR2mock notebooks**
------------------------------------
In **[notebook 1](https://g... | jan-rybizkiREPO_NAMEGalaxia_wrapPATH_START.@Galaxia_wrap_extracted@Galaxia_wrap-master@notebook@README.md@.PATH_END.py |
{
"filename": "galaxy10.py",
"repo_name": "henrysky/astroNN",
"repo_path": "astroNN_extracted/astroNN-master/src/astroNN/datasets/galaxy10.py",
"type": "Python"
} | # ---------------------------------------------------------#
# astroNN.datasets.galaxy10: Galaxy10 DECaLS dataset
# ---------------------------------------------------------#
import os
import urllib.request
import h5py
import numpy as np
from astroNN.config import astroNN_CACHE_DIR
from astroNN.shared.downloader_t... | henryskyREPO_NAMEastroNNPATH_START.@astroNN_extracted@astroNN-master@src@astroNN@datasets@galaxy10.py@.PATH_END.py |
{
"filename": "mlir.py",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/jax/_src/interpreters/mlir.py",
"type": "Python"
} | # Copyright 2021 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@interpreters@mlir.py@.PATH_END.py |
{
"filename": "Interactive.py",
"repo_name": "rat-pac/rat-pac",
"repo_path": "rat-pac_extracted/rat-pac-master/python/SCons/Script/Interactive.py",
"type": "Python"
} | #
# Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009 The SCons Foundation
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitati... | rat-pacREPO_NAMErat-pacPATH_START.@rat-pac_extracted@rat-pac-master@python@SCons@Script@Interactive.py@.PATH_END.py |
{
"filename": "ensemble_posterior.py",
"repo_name": "mackelab/sbi",
"repo_path": "sbi_extracted/sbi-main/sbi/inference/posteriors/ensemble_posterior.py",
"type": "Python"
} | # This file is part of sbi, a toolkit for simulation-based inference. sbi is licensed
# under the Apache License Version 2.0, see <https://www.apache.org/licenses/>
from typing import List, Optional, Tuple, Union
import torch
from torch import Tensor
from torch.distributions import Distribution
from sbi.inference.po... | mackelabREPO_NAMEsbiPATH_START.@sbi_extracted@sbi-main@sbi@inference@posteriors@ensemble_posterior.py@.PATH_END.py |
{
"filename": "arr_resize.py",
"repo_name": "t-brandt/acorns-adi",
"repo_path": "acorns-adi_extracted/acorns-adi-master/utils/arr_resize.py",
"type": "Python"
} | #!/usr/bin/env python
#
# Original filename: arr_resize.py
#
# Author: Tim Brandt
# Email: tbrandt@astro.princeton.edu
# Date: Dec 2012
#
# Summary: Resize a square array. Crop or pad with NaN as necessary.
# If padding, create and return a new array.
#
import numpy as np
def arr_resize(arr, newdim=None, padval=np.n... | t-brandtREPO_NAMEacorns-adiPATH_START.@acorns-adi_extracted@acorns-adi-master@utils@arr_resize.py@.PATH_END.py |
{
"filename": "linalg_decomp_1.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/statsmodels/sandbox/archive/linalg_decomp_1.py",
"type": "Python"
} | '''Recipes for more efficient work with linalg using classes
intended for use for multivariate normal and linear regression
calculations
x is the data (nobs, nvars)
m is the moment matrix (x'x) or a covariance matrix Sigma
examples:
x'sigma^{-1}x
z = Px where P=Sigma^{-1/2} or P=Sigma^{1/2}
Initially assume po... | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@statsmodels@sandbox@archive@linalg_decomp_1.py@.PATH_END.py |
{
"filename": "_tickprefix.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/carpet/baxis/_tickprefix.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickprefixValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="tickprefix", parent_name="carpet.baxis", **kwargs):
super(TickprefixValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_na... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@carpet@baxis@_tickprefix.py@.PATH_END.py |
{
"filename": "_size.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/scene/yaxis/title/font/_size.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="size", parent_name="layout.scene.yaxis.title.font", **kwargs
):
super(SizeValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@scene@yaxis@title@font@_size.py@.PATH_END.py |
{
"filename": "tool.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/simplejson/py3/simplejson/tool.py",
"type": "Python"
} | r"""Command-line tool to validate and pretty-print JSON
Usage::
$ echo '{"json":"obj"}' | python -m simplejson.tool
{
"json": "obj"
}
$ echo '{ 1.2:3.4}' | python -m simplejson.tool
Expecting property name: line 1 column 2 (char 2)
"""
from __future__ import with_statement
import sys
impo... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@simplejson@py3@simplejson@tool.py@.PATH_END.py |
{
"filename": "_q3.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/box/_q3.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class Q3Validator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="q3", parent_name="box", **kwargs):
super(Q3Validator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwar... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@box@_q3.py@.PATH_END.py |
{
"filename": "0001_initial.py",
"repo_name": "dstndstn/astrometry.net",
"repo_path": "astrometry.net_extracted/astrometry.net-main/net/migrations/0001_initial.py",
"type": "Python"
} | # Generated by Django 3.0.7 on 2020-06-25 15:38
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... | dstndstnREPO_NAMEastrometry.netPATH_START.@astrometry.net_extracted@astrometry.net-main@net@migrations@0001_initial.py@.PATH_END.py |
{
"filename": "example_08_planet_grid_fitting.py",
"repo_name": "rpoleski/MulensModel",
"repo_path": "MulensModel_extracted/MulensModel-master/examples/example_08_planet_grid_fitting.py",
"type": "Python"
} | # # Example Notebook to fit a microlensing event
#
# The procedure is:
# 1. Estimate the point lens parameters (`t_0`, `u_0`, `t_E`) from the light
# curve.
# 2. Fit a point lens model (excluding the planetary perturbation).
# 3. Estimate the planet parameters (`s`, `alpha`) from the light curve.
# 4. Search for the be... | rpoleskiREPO_NAMEMulensModelPATH_START.@MulensModel_extracted@MulensModel-master@examples@example_08_planet_grid_fitting.py@.PATH_END.py |
{
"filename": "synthetic_radiography.py",
"repo_name": "PlasmaPy/PlasmaPy",
"repo_path": "PlasmaPy_extracted/PlasmaPy-main/src/plasmapy/diagnostics/charged_particle_radiography/synthetic_radiography.py",
"type": "Python"
} | """
Routines for the analysis of proton radiographs. These routines can be broadly
classified as either creating synthetic radiographs from prescribed fields or
methods of 'inverting' experimentally created radiographs to reconstruct the
original fields (under some set of assumptions).
"""
__all__ = ["Tracker", "synth... | PlasmaPyREPO_NAMEPlasmaPyPATH_START.@PlasmaPy_extracted@PlasmaPy-main@src@plasmapy@diagnostics@charged_particle_radiography@synthetic_radiography.py@.PATH_END.py |
{
"filename": "installation.md",
"repo_name": "janosch314/GWFish",
"repo_path": "GWFish_extracted/GWFish-main/docs/source/installation.md",
"type": "Markdown"
} | # Installing GWFish
An older version of GWFish is [available on pypi](https://pypi.org/project/GWFish/),
but don't use it --- it's not up to date yet. Instead, clone the repo.
Move to a clean folder, and run:
```bash
git clone https://github.com/janosch314/GWFish
cd GWFish
```
You can then install `GWFish` with:
``... | janosch314REPO_NAMEGWFishPATH_START.@GWFish_extracted@GWFish-main@docs@source@installation.md@.PATH_END.py |
{
"filename": "artisoptions_doc.md",
"repo_name": "artis-mcrt/artis",
"repo_path": "artis_extracted/artis-main/artisoptions_doc.md",
"type": "Markdown"
} | ```
// Number of energy packets per process (MPI rank). OpenMP threads share these packets
constexpr int MPKTS;
constexpr auto GRID_TYPE = {GridType::CARTESIAN3D, GridType::CYLINDRICAL2D, GridType::SPHERICAL1D}
// for GridType::CARTESIAN3D, set the dimensions. This will have no effect with a 3D model.txt since they w... | artis-mcrtREPO_NAMEartisPATH_START.@artis_extracted@artis-main@artisoptions_doc.md@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "astro-transients/tilepy",
"repo_path": "tilepy_extracted/tilepy-master/src/tilepy/scripts/__init__.py",
"type": "Python"
} | from .Tiling_Observations import Tiling_Observations
from .PlottingTwoCampaigns import PlottingTwoCampaigns
__all__ = [
"Tiling_Observations",
"PlottingTwoCampaigns",
] | astro-transientsREPO_NAMEtilepyPATH_START.@tilepy_extracted@tilepy-master@src@tilepy@scripts@__init__.py@.PATH_END.py |
{
"filename": "_linewidth.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/scene/xaxis/_linewidth.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LinewidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="linewidth", parent_name="layout.scene.xaxis", **kwargs
):
super(LinewidthValidator, self).__init__(
plotly_name=plotly_name,
pare... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@scene@xaxis@_linewidth.py@.PATH_END.py |
{
"filename": "UVLF_FutureMock.py",
"repo_name": "NNSSA/GALLUMI_public",
"repo_path": "GALLUMI_public_extracted/GALLUMI_public-main/Scripts/UVLF_FutureMock/UVLF_FutureMock.py",
"type": "Python"
} | import numpy as np
from matplotlib import pyplot as plt
from scipy.interpolate import PchipInterpolator
import galcv
#########################################################################################
# Gaussian integrator
points, weights = np.polynomial.legendre.leggauss(1000)
def integrator(f, a, b):
sub ... | NNSSAREPO_NAMEGALLUMI_publicPATH_START.@GALLUMI_public_extracted@GALLUMI_public-main@Scripts@UVLF_FutureMock@UVLF_FutureMock.py@.PATH_END.py |
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