metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "test_coag_dustpy.py",
"repo_name": "cuDisc/cuDisc",
"repo_path": "cuDisc_extracted/cuDisc-main/tests/scripts/test_coag_dustpy.py",
"type": "Python"
} | import os
from constants import *
from fileIO import *
import numpy as np
import matplotlib.pyplot as plt
print("Making and running test...\n")
os.system('cd ../../ && make -j test_coagdustpy')
os.system('../../test_coagdustpy')
sim = CuDiscModel("../outputs/coag_dustpy")
sizes = sim.load_grain_sizes()
gas, dust = s... | cuDiscREPO_NAMEcuDiscPATH_START.@cuDisc_extracted@cuDisc-main@tests@scripts@test_coag_dustpy.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatter/marker/colorbar/title/font/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._weight import WeightValidator
from ._variant import VariantValidator
from ._textcase import TextcaseValidator
from ._style import StyleValidator
from ._size import SizeValidator
from ._shadow impor... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatter@marker@colorbar@title@font@__init__.py@.PATH_END.py |
{
"filename": "_labelalias.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/coloraxis/colorbar/_labelalias.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LabelaliasValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(
self,
plotly_name="labelalias",
parent_name="layout.coloraxis.colorbar",
**kwargs,
):
super(LabelaliasValidator, self).__init__(
plotly_na... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@coloraxis@colorbar@_labelalias.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "Fermipy/fermipy",
"repo_path": "fermipy_extracted/fermipy-master/fermipy/tests/__init__.py",
"type": "Python"
} | FermipyREPO_NAMEfermipyPATH_START.@fermipy_extracted@fermipy-master@fermipy@tests@__init__.py@.PATH_END.py | |
{
"filename": "test_bbox.py",
"repo_name": "pmelchior/scarlet",
"repo_path": "scarlet_extracted/scarlet-master/tests/test_bbox.py",
"type": "Python"
} | import numpy as np
import scarlet
class TestBox(object):
def test_from_data(self):
x = np.arange(25).reshape(5, 5)
x[0] = 0
x[:, -2:] = 0
bbox = scarlet.Box.from_data(x)
assert bbox == scarlet.Box((4, 3), origin=(1, 0))
x += 10
bbox = scarlet.Box.from_data(... | pmelchiorREPO_NAMEscarletPATH_START.@scarlet_extracted@scarlet-master@tests@test_bbox.py@.PATH_END.py |
{
"filename": "SYGMA_SSP_CNO_yield_input.ipynb",
"repo_name": "NuGrid/NuPyCEE",
"repo_path": "NuPyCEE_extracted/NuPyCEE-master/regression_tests/temp/SYGMA_SSP_CNO_yield_input.ipynb",
"type": "Jupyter Notebook"
} | # Regression test suite: Test of basic SSP GCE features
Test of SSP with artificial yields of C,N,O + Ni provided in tables.
C12 only in low-masss stars (up to 3Msun).
N14 only in intermediate mass stars (up to 7Msun).
O16 only in massive stars.
N-58 only in SNIa.
Each star produces only 0.1Msun of yields.
Focus are... | NuGridREPO_NAMENuPyCEEPATH_START.@NuPyCEE_extracted@NuPyCEE-master@regression_tests@temp@SYGMA_SSP_CNO_yield_input.ipynb@.PATH_END.py |
{
"filename": "CONTRIBUTING.md",
"repo_name": "arviz-devs/arviz",
"repo_path": "arviz_extracted/arviz-main/CONTRIBUTING.md",
"type": "Markdown"
} | # Contributing to ArviZ
This document outlines only the most common contributions.
Please see the [Contributing guide](https://python.arviz.org/en/latest/contributing/index.html)
on our documentation for a better view of how can you contribute to ArviZ.
We welcome a wide range of contributions, not only code!
## Repor... | arviz-devsREPO_NAMEarvizPATH_START.@arviz_extracted@arviz-main@CONTRIBUTING.md@.PATH_END.py |
{
"filename": "result.py",
"repo_name": "NannyML/nannyml",
"repo_path": "nannyml_extracted/nannyml-main/nannyml/performance_calculation/result.py",
"type": "Python"
} | # Author: Niels Nuyttens <niels@nannyml.com>
#
# License: Apache Software License 2.0
"""Contains the results of the realized performance calculation and provides filtering and plotting functionality."""
from __future__ import annotations
import copy
from typing import Dict, List, Optional, Union, cast
import p... | NannyMLREPO_NAMEnannymlPATH_START.@nannyml_extracted@nannyml-main@nannyml@performance_calculation@result.py@.PATH_END.py |
{
"filename": "common.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/arithmetic/common.py",
"type": "Python"
} | """
Assertion helpers for arithmetic tests.
"""
import numpy as np
import pytest
from pandas import (
DataFrame,
Index,
Series,
array,
)
import pandas._testing as tm
from pandas.core.arrays import (
BooleanArray,
NumpyExtensionArray,
)
def assert_cannot_add(left, right, msg="cannot add"):
... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@arithmetic@common.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "SKA-INAF/caesar-rest",
"repo_path": "caesar-rest_extracted/caesar-rest-master/README.md",
"type": "Markdown"
} | <p align="left">
<img src="share/CAESAR-REST_Architecture.png" alt="Software architecture"/ width="500" height="500">
</p>
# caesar-rest
caesar-rest is a REST-ful web service for astronomical source extraction and classification with the caesar source extractor [https://github.com/SKA-INAF/caesar]. The software is d... | SKA-INAFREPO_NAMEcaesar-restPATH_START.@caesar-rest_extracted@caesar-rest-master@README.md@.PATH_END.py |
{
"filename": "test_mock_helpers.py",
"repo_name": "astropy/halotools",
"repo_path": "halotools_extracted/halotools-master/halotools/empirical_models/factories/tests/test_mock_helpers.py",
"type": "Python"
} | """
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
import pytest
from astropy.table import Table
from ..mock_helpers import infer_mask_from_kwargs
from ....custom_exceptions import HalotoolsError
__all__ = ('test_infer_mask_from_kwargs_consistency', )
def ... | astropyREPO_NAMEhalotoolsPATH_START.@halotools_extracted@halotools-master@halotools@empirical_models@factories@tests@test_mock_helpers.py@.PATH_END.py |
{
"filename": "index.md",
"repo_name": "youngjookim/sdr",
"repo_path": "sdr_extracted/sdr-master/SITE/content/experiments/2/index.md",
"type": "Markdown"
} | +++
image = "2.png"
date = "2021-01-02"
title = "Effect of different hyperparameters using non-Gaussian synthetic data - Lognormal"
type = "gallery"
+++
Effects of different parameters using 2D non-Gaussian (log-normal, μ=0, and σ=1) data with 10K observations. Note that the effects of the parameters are simi... | youngjookimREPO_NAMEsdrPATH_START.@sdr_extracted@sdr-master@SITE@content@experiments@2@index.md@.PATH_END.py |
{
"filename": "_cmid.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatterpolargl/marker/_cmid.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class CmidValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="cmid", parent_name="scatterpolargl.marker", **kwargs
):
super(CmidValidator, self).__init__(
plotly_name=plotly_name,
parent_name=pare... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatterpolargl@marker@_cmid.py@.PATH_END.py |
{
"filename": "make-contour-plots.ipynb",
"repo_name": "marnixlooijmans/shrinkage-estimation-paper",
"repo_path": "shrinkage-estimation-paper_extracted/shrinkage-estimation-paper-main/notebooks/make-contour-plots.ipynb",
"type": "Jupyter Notebook"
} | ```python
import numpy as np
import pocomc as pc
import os
from getdist import plots, MCSamples
import matplotlib.pyplot as plt
from matplotlib.collections import PatchCollection
%matplotlib inline
```
```python
names = ["b", "f"]
labels = ["b", "f"]
ref_chain = np.load("../output/BOSS_DR12_NGC_z1/samples/n2048/cov_... | marnixlooijmansREPO_NAMEshrinkage-estimation-paperPATH_START.@shrinkage-estimation-paper_extracted@shrinkage-estimation-paper-main@notebooks@make-contour-plots.ipynb@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/monotonic/py2/README.md",
"type": "Markdown"
} | monotonic
=========
NOTE: **This library is considered stable and complete, and will not receive
any further updates. Python versions 3.3 and newer include
[``time.monotonic()``][0] in the standard library.**
This module provides a ``monotonic()`` function which returns the
value (in fractional seconds) of a clock wh... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@monotonic@py2@README.md@.PATH_END.py |
{
"filename": "testMSOffice.py",
"repo_name": "mhammond/pywin32",
"repo_path": "pywin32_extracted/pywin32-main/com/win32com/test/testMSOffice.py",
"type": "Python"
} | # Test MSOffice
#
# Main purpose of test is to ensure that Dynamic COM objects
# work as expected.
# Assumes Word and Excel installed on your machine.
import traceback
import pythoncom
import win32api
import win32com
import win32com.client.dynamic
from win32com.client import gencache
from win32com.test.util import C... | mhammondREPO_NAMEpywin32PATH_START.@pywin32_extracted@pywin32-main@com@win32com@test@testMSOffice.py@.PATH_END.py |
{
"filename": "EXOTIC-Installation-Instructions-for-Mac-Users.md",
"repo_name": "rzellem/EXOTIC",
"repo_path": "EXOTIC_extracted/EXOTIC-main/docs/regions/English/EXOTIC-Installation-Instructions-for-Mac-Users.md",
"type": "Markdown"
} | EXOTIC Installation Instructions for Mac Users
There are two ways you can run EXOTIC, either with a Python Notebook in Jupyter or the Google Collab or on your own personal machine using the command line. Please review the details of the two processes below and select the best option for you.
Google Collab... | rzellemREPO_NAMEEXOTICPATH_START.@EXOTIC_extracted@EXOTIC-main@docs@regions@English@EXOTIC-Installation-Instructions-for-Mac-Users.md@.PATH_END.py |
{
"filename": "fitting.py",
"repo_name": "cmccully/lcogtgemini",
"repo_path": "lcogtgemini_extracted/lcogtgemini-master/lcogtgemini/fitting.py",
"type": "Python"
} | import numpy as np
from scipy import optimize
from statsmodels import robust
from lcogtgemini.utils import mad
from matplotlib import pyplot
def ncor(x, y):
"""Calculate the normalized correlation of two arrays"""
d = np.correlate(x, x) * np.correlate(y, y)
return np.correlate(x, y) / d ** 0.5
def xcor... | cmccullyREPO_NAMElcogtgeminiPATH_START.@lcogtgemini_extracted@lcogtgemini-master@lcogtgemini@fitting.py@.PATH_END.py |
{
"filename": "networktest.py",
"repo_name": "CMB-S4/spt3g_software",
"repo_path": "spt3g_software_extracted/spt3g_software-master/core/tests/networktest.py",
"type": "Python"
} | #!/usr/bin/env python
from __future__ import print_function
import random, os, sys, numpy, time
from spt3g import core
port = random.randint(10000, 60000)
frames = []
for i in range(0, 20):
f = core.G3Frame()
f['Sequence'] = i
f['Data'] = core.G3Timestream(numpy.zeros(100000))
frames.append(f)
print('Port: ', po... | CMB-S4REPO_NAMEspt3g_softwarePATH_START.@spt3g_software_extracted@spt3g_software-master@core@tests@networktest.py@.PATH_END.py |
{
"filename": "notebook_setup.py",
"repo_name": "rodluger/starry",
"repo_path": "starry_extracted/starry-master/notebooks/notebook_setup.py",
"type": "Python"
} | # Pretty figures
get_ipython().magic('config InlineBackend.figure_format = "retina"')
import matplotlib
import matplotlib.pyplot as plt
import warnings
# Disable annoying font warnings
matplotlib.font_manager._log.setLevel(50)
# Disable theano deprecation warnings
warnings.filterwarnings("ignore", category=Deprec... | rodlugerREPO_NAMEstarryPATH_START.@starry_extracted@starry-master@notebooks@notebook_setup.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "dnarayanan/powderday",
"repo_path": "powderday_extracted/powderday-master/powderday/front_ends/__init__.py",
"type": "Python"
} | from . import enzo2pd
from . import front_end_controller
from . import gadget2pd
from . import tipsy2pd
from . import arepo2pd
| dnarayananREPO_NAMEpowderdayPATH_START.@powderday_extracted@powderday-master@powderday@front_ends@__init__.py@.PATH_END.py |
{
"filename": "train.py",
"repo_name": "xwzhang98/SREmulator",
"repo_path": "SREmulator_extracted/SREmulator-main/map2map/map2map/train.py",
"type": "Python"
} | import os
import socket
import time
import sys
from pprint import pprint
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torch.distributed as dist
from torch.multiprocessing import spawn
from torch.nn.parallel import DistributedDataParallel
from t... | xwzhang98REPO_NAMESREmulatorPATH_START.@SREmulator_extracted@SREmulator-main@map2map@map2map@train.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "gomesdasilva/ACTIN",
"repo_path": "ACTIN_extracted/ACTIN-master/README.md",
"type": "Markdown"
} | # ACTIN 1.3.9
*This version is no longer being maintained - please use [ACTIN2](https://github.com/gomesdasilva/ACTIN2) instead.*
### Activity Indices Calculator
[](https://doi.org/10.21105/joss.00667)
[![DOI](https://zenodo.org/badge/DOI/10.5281/ze... | gomesdasilvaREPO_NAMEACTINPATH_START.@ACTIN_extracted@ACTIN-master@README.md@.PATH_END.py |
{
"filename": "test_cosmo_docs_basic.py",
"repo_name": "CobayaSampler/cobaya",
"repo_path": "cobaya_extracted/cobaya-master/tests/test_cosmo_docs_basic.py",
"type": "Python"
} | """
Testing and automatic generation of basic cosmological examples in the docs.
"""
import os
import sys
from cobaya.yaml import yaml_dump, yaml_load
from cobaya.input import is_equal_info
from cobaya.cosmo_input import create_input
from cobaya.tools import sort_cosmetic
from .test_docs_example_quickstart import doc... | CobayaSamplerREPO_NAMEcobayaPATH_START.@cobaya_extracted@cobaya-master@tests@test_cosmo_docs_basic.py@.PATH_END.py |
{
"filename": "response.py",
"repo_name": "splus-collab/splus_filters",
"repo_path": "splus_filters_extracted/splus_filters-master/archive/response_curves/response_curves_2017/response.py",
"type": "Python"
} | # Herpich F.R. 12/08/16
from astropy.io import fits
import matplotlib.pyplot as plt
import numpy as np
from scipy.interpolate import InterpolatedUnivariateSpline as IUS
from scipy.interpolate import interp1d
import os
filters = ['20140604C080F062502.fits', '20140606C080F051502.fits',
'20140609C080F066002.f... | splus-collabREPO_NAMEsplus_filtersPATH_START.@splus_filters_extracted@splus_filters-master@archive@response_curves@response_curves_2017@response.py@.PATH_END.py |
{
"filename": "surface_plot.py",
"repo_name": "yt-project/yt",
"repo_path": "yt_extracted/yt-main/doc/source/cookbook/surface_plot.py",
"type": "Python"
} | import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.mplot3d import Axes3D # noqa: F401
from mpl_toolkits.mplot3d.art3d import Poly3DCollection
import yt
# Load the dataset
ds = yt.load("IsolatedGalaxy/galaxy0030/galaxy0030")
# Create a sphere object centered on the highest density point in the simu... | yt-projectREPO_NAMEytPATH_START.@yt_extracted@yt-main@doc@source@cookbook@surface_plot.py@.PATH_END.py |
{
"filename": "schedules.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/src/prefect/deployments/schedules.py",
"type": "Python"
} | from typing import TYPE_CHECKING, Any, List, Optional, Sequence, Union
from prefect.client.schemas.actions import DeploymentScheduleCreate
from prefect.client.schemas.schedules import is_schedule_type
if TYPE_CHECKING:
from prefect.client.schemas.schedules import SCHEDULE_TYPES
FlexibleScheduleList = Sequence[
... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@src@prefect@deployments@schedules.py@.PATH_END.py |
{
"filename": "hdf5.py",
"repo_name": "franciscovillaescusa/Pylians",
"repo_path": "Pylians_extracted/Pylians-master/Examples/hdf5.py",
"type": "Python"
} | import numpy as np
import h5py
z = 3.0
a = np.arange(10)
# write a hdf5 file
f = h5py.File('my_file_z=%.3f.hdf5'%z, 'w')
f.create_dataset('Mass', data=a)
f.close()
# read hdf5 file
f = h5py.File('M_HI_new_75_1820_z=%.3f.hdf5'%z, 'r')
M_HI = f['M_HI'][:]
M = f['Mass'][:]
R = f['R'][:]
f.close()
| franciscovillaescusaREPO_NAMEPyliansPATH_START.@Pylians_extracted@Pylians-master@Examples@hdf5.py@.PATH_END.py |
{
"filename": "example_XOR_classification.py",
"repo_name": "ahmedfgad/GeneticAlgorithmPython",
"repo_path": "GeneticAlgorithmPython_extracted/GeneticAlgorithmPython-master/examples/nn/example_XOR_classification.py",
"type": "Python"
} | import numpy
import pygad.nn
"""
This project creates a neural network where the architecture has input and dense layers only. More layers will be added in the future.
The project only implements the forward pass of a neural network and no training algorithm is used.
For training a neural network using the genetic al... | ahmedfgadREPO_NAMEGeneticAlgorithmPythonPATH_START.@GeneticAlgorithmPython_extracted@GeneticAlgorithmPython-master@examples@nn@example_XOR_classification.py@.PATH_END.py |
{
"filename": "_cmax.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattergeo/marker/_cmax.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="cmax", parent_name="scattergeo.marker", **kwargs):
super(CmaxValidator, 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@scattergeo@marker@_cmax.py@.PATH_END.py |
{
"filename": "test_sen2nbar.py",
"repo_name": "ESDS-Leipzig/sen2nbar",
"repo_path": "sen2nbar_extracted/sen2nbar-main/tests/test_sen2nbar.py",
"type": "Python"
} | import unittest
import cubo
import planetary_computer as pc
import pystac_client
import stackstac
import xarray as xr
from sen2nbar.nbar import nbar_cubo, nbar_stackstac
class Test(unittest.TestCase):
"""Tests for the sen2nbar package."""
def test_stackstac(self):
"""Test the nbar_stackstac with Pl... | ESDS-LeipzigREPO_NAMEsen2nbarPATH_START.@sen2nbar_extracted@sen2nbar-main@tests@test_sen2nbar.py@.PATH_END.py |
{
"filename": "_size.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/indicator/title/font/_size.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="size", parent_name="indicator.title.font", **kwargs
):
super(SizeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=paren... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@indicator@title@font@_size.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/ohlc/decreasing/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._line import LineValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._line.LineValidator"]
)
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@ohlc@decreasing@__init__.py@.PATH_END.py |
{
"filename": "kmpfit_varreduct_wol.py",
"repo_name": "kapteyn-astro/kapteyn",
"repo_path": "kapteyn_extracted/kapteyn-master/doc/source/EXAMPLES/kmpfit_varreduct_wol.py",
"type": "Python"
} | #!/usr/bin/env python
# Demonstrate use of variance reduction to examine a model.
# Use data example from Bevington & Robinson with 1 outlier
from numpy.random import normal
import numpy
from kapteyn import kmpfit
from matplotlib.pyplot import figure, show, rc
def model_lin(p, x):
a, b = p
y = a + b*x
return... | kapteyn-astroREPO_NAMEkapteynPATH_START.@kapteyn_extracted@kapteyn-master@doc@source@EXAMPLES@kmpfit_varreduct_wol.py@.PATH_END.py |
{
"filename": "rotating_convection.py",
"repo_name": "DedalusProject/dedalus",
"repo_path": "dedalus_extracted/dedalus-master/examples/evp_shell_rotating_convection/rotating_convection.py",
"type": "Python"
} | """
Dedalus script solving the linear stability eigenvalue problem for rotating
Rayleigh-Benard convection in a shell. This script demonstrates solving an
eigenvalue problem with non-constant coefficients that depend on both radius
and colatitude. It should take about a minute to run (serial only).
The aspect ratio of... | DedalusProjectREPO_NAMEdedalusPATH_START.@dedalus_extracted@dedalus-master@examples@evp_shell_rotating_convection@rotating_convection.py@.PATH_END.py |
{
"filename": "test_dask_datasets.py",
"repo_name": "rapidsai/cuml",
"repo_path": "cuml_extracted/cuml-main/python/cuml/cuml/tests/dask/test_dask_datasets.py",
"type": "Python"
} | #
# Copyright (c) 2020-2023, NVIDIA CORPORATION.
#
# 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 ag... | rapidsaiREPO_NAMEcumlPATH_START.@cuml_extracted@cuml-main@python@cuml@cuml@tests@dask@test_dask_datasets.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "transientskp/lpf",
"repo_path": "lpf_extracted/lpf-main/lpf/surveys/__init__.py",
"type": "Python"
} | from .survey import Survey | transientskpREPO_NAMElpfPATH_START.@lpf_extracted@lpf-main@lpf@surveys@__init__.py@.PATH_END.py |
{
"filename": "qtransform.py",
"repo_name": "gwpy/gwpy",
"repo_path": "gwpy_extracted/gwpy-main/gwpy/signal/qtransform.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# Copyright (C) Duncan Macleod (2016-2020)
#
# This file is part of GWpy.
#
# GWpy is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option)... | gwpyREPO_NAMEgwpyPATH_START.@gwpy_extracted@gwpy-main@gwpy@signal@qtransform.py@.PATH_END.py |
{
"filename": "snid.py",
"repo_name": "MickaelRigault/pysnid",
"repo_path": "pysnid_extracted/pysnid-main/pysnid/snid.py",
"type": "Python"
} |
""" Module to handle SNID fit. """
import os
import shutil
import numpy as np
import pandas
import warnings
def run_snid(filename,
phase=None, redshift=None, delta_phase=5, delta_redshift=None,
redshift_bounds=[0, None],
lbda_range=[4000,8000], set_it=True,
verb... | MickaelRigaultREPO_NAMEpysnidPATH_START.@pysnid_extracted@pysnid-main@pysnid@snid.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "jkrogager/VoigtFit",
"repo_path": "VoigtFit_extracted/VoigtFit-master/VoigtFit/utils/__init__.py",
"type": "Python"
} | jkrogagerREPO_NAMEVoigtFitPATH_START.@VoigtFit_extracted@VoigtFit-master@VoigtFit@utils@__init__.py@.PATH_END.py | |
{
"filename": "cphotang.py",
"repo_name": "NuSpaceSim/nuSpaceSim",
"repo_path": "nuSpaceSim_extracted/nuSpaceSim-main/src/nuspacesim/simulation/eas_optical/cphotang.py",
"type": "Python"
} | # The Clear BSD License
#
# Copyright (c) 2021 Alexander Reustle and the NuSpaceSim Team
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted (subject to the limitations in the disclaimer
# below) provided that the following conditions are met:
#
# ... | NuSpaceSimREPO_NAMEnuSpaceSimPATH_START.@nuSpaceSim_extracted@nuSpaceSim-main@src@nuspacesim@simulation@eas_optical@cphotang.py@.PATH_END.py |
{
"filename": "test_linearity.py",
"repo_name": "lsst/cp_pipe",
"repo_path": "cp_pipe_extracted/cp_pipe-main/tests/test_linearity.py",
"type": "Python"
} | #!/usr/bin/env python
#
# LSST Data Management System
#
# Copyright 2008-2017 AURA/LSST.
#
# This product includes software developed by the
# LSST Project (http://www.lsst.org/).
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as publish... | lsstREPO_NAMEcp_pipePATH_START.@cp_pipe_extracted@cp_pipe-main@tests@test_linearity.py@.PATH_END.py |
{
"filename": "copy_injection_recovery.py",
"repo_name": "ThibeauWouters/TurboPE-BNS",
"repo_path": "TurboPE-BNS_extracted/TurboPE-BNS-main/injections/outdir_TF2/injection_85/copy_injection_recovery.py",
"type": "Python"
} | import os
os.environ['CUDA_VISIBLE_DEVICES'] = "2"
os.environ["XLA_PYTHON_CLIENT_MEM_FRACTION"] = "0.1"
import numpy as np
import argparse
# The following is needed on CIT cluster to avoid an obscure Python error
import psutil
p = psutil.Process()
p.cpu_affinity([0])
# Regular imports
import argparse
import copy
impor... | ThibeauWoutersREPO_NAMETurboPE-BNSPATH_START.@TurboPE-BNS_extracted@TurboPE-BNS-main@injections@outdir_TF2@injection_85@copy_injection_recovery.py@.PATH_END.py |
{
"filename": "xray_emission_fields.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/fields/xray_emission_fields.py",
"type": "Python"
} | import os
import numpy as np
from yt.config import ytcfg
from yt.fields.derived_field import DerivedField
from yt.funcs import mylog, only_on_root, parse_h5_attr
from yt.units.yt_array import YTArray, YTQuantity
from yt.utilities.cosmology import Cosmology
from yt.utilities.exceptions import YTException, YTFieldNotFo... | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@fields@xray_emission_fields.py@.PATH_END.py |
{
"filename": "paper.md",
"repo_name": "migueldvb/cine",
"repo_path": "cine_extracted/cine-master/paper/paper.md",
"type": "Markdown"
} | ---
title: 'Cine: Line excitation by infrared fluorescence in cometary atmospheres'
tags:
- Python
- Fluorescence
- Comets
- Planetary Atmospheres
authors:
- name: Miguel de Val-Borro
orcid: 0000-0002-0455-9384
affiliation: 1,2
- name: Martin A. Cordiner
orcid: 0000-0001-8233-2436
affiliatio... | migueldvbREPO_NAMEcinePATH_START.@cine_extracted@cine-master@paper@paper.md@.PATH_END.py |
{
"filename": "_pie.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/template/data/_pie.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class PieValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
def __init__(self, plotly_name="pie", parent_name="layout.template.data", **kwargs):
super(PieValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@template@data@_pie.py@.PATH_END.py |
{
"filename": "cpp.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/astropy/extern/ply/cpp.py",
"type": "Python"
} | # -----------------------------------------------------------------------------
# cpp.py
#
# Author: David Beazley (http://www.dabeaz.com)
# Copyright (C) 2007
# All rights reserved
#
# This module implements an ANSI-C style lexical preprocessor for PLY.
# --------------------------------------------------------------... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@astropy@extern@ply@cpp.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "saopicc/killMS",
"repo_path": "killMS_extracted/killMS-master/killMS/Predict/__init__.py",
"type": "Python"
} | #!/usr/bin/env python
"""
killMS, a package for calibration in radio interferometry.
Copyright (C) 2013-2017 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 ... | saopiccREPO_NAMEkillMSPATH_START.@killMS_extracted@killMS-master@killMS@Predict@__init__.py@.PATH_END.py |
{
"filename": "test_PointLens.py",
"repo_name": "rpoleski/MulensModel",
"repo_path": "MulensModel_extracted/MulensModel-master/source/MulensModel/tests/test_PointLens.py",
"type": "Python"
} | import unittest
import numpy as np
import os
import MulensModel as mm
import fortran_files
from test_FitData import create_0939_parallax_model, SAMPLE_FILE_03, SAMPLE_FILE_03_EPH
SAMPLE_FILE = os.path.join(mm.DATA_PATH, 'unit_test_files', 'FSPL_test_1.dat')
PSPL_SAMPLE_DIR = os.path.join(mm.DATA_PATH, 'unit_test_fil... | rpoleskiREPO_NAMEMulensModelPATH_START.@MulensModel_extracted@MulensModel-master@source@MulensModel@tests@test_PointLens.py@.PATH_END.py |
{
"filename": "multiproc.py",
"repo_name": "dstndstn/astrometry.net",
"repo_path": "astrometry.net_extracted/astrometry.net-main/util/multiproc.py",
"type": "Python"
} | # This file is part of the Astrometry.net suite.
# Licensed under a 3-clause BSD style license - see LICENSE
from __future__ import print_function
import multiprocessing
class FakeAsyncResult(object):
def __init__(self, X):
self.X = X
def wait(self, *a):
pass
def get(self, *a):
ret... | dstndstnREPO_NAMEastrometry.netPATH_START.@astrometry.net_extracted@astrometry.net-main@util@multiproc.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "sfarrens/sf_deconvolve",
"repo_path": "sf_deconvolve_extracted/sf_deconvolve-master/README.md",
"type": "Markdown"
} | <a href="https://ascl.net/2212.010"><img src="https://img.shields.io/badge/ascl-2212.010-blue.svg?colorB=262255" alt="ascl:2212.010" /></a>
SF_DECONVOLVE
=============
> Author: **Samuel Farrens**
> Year: **2018**
> Version: **5.0**
> Email: [samuel.farrens@gmail.com](mailto:samuel.farrens@gmail.com)
> Websit... | sfarrensREPO_NAMEsf_deconvolvePATH_START.@sf_deconvolve_extracted@sf_deconvolve-master@README.md@.PATH_END.py |
{
"filename": "test_field.py",
"repo_name": "LSSTDESC/NaMaster",
"repo_path": "NaMaster_extracted/NaMaster-master/pymaster/tests/test_field.py",
"type": "Python"
} | import pytest
import numpy as np
import pymaster as nmt
import healpy as hp
import warnings
import sys
from .utils import normdiff
class FieldTester(object):
def __init__(self):
# This is to avoid showing an ugly warning that
# has nothing to do with pymaster
if (sys.version_info > (3, 1))... | LSSTDESCREPO_NAMENaMasterPATH_START.@NaMaster_extracted@NaMaster-master@pymaster@tests@test_field.py@.PATH_END.py |
{
"filename": "mnist_test.py",
"repo_name": "afarahi/tatter",
"repo_path": "tatter_extracted/tatter-master/tatter/tests/mnist_test.py",
"type": "Python"
} |
def mnist_digits_distance():
import numpy as np
from sklearn import datasets
import matplotlib.pyplot as plt
from tatter import two_sample_test
from sklearn.metrics import pairwise_distances
import os
plot_path = './tatter/tests/plots/'
if not os.path.exists(plot_path):
os.mak... | afarahiREPO_NAMEtatterPATH_START.@tatter_extracted@tatter-master@tatter@tests@mnist_test.py@.PATH_END.py |
{
"filename": "_z.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/isosurface/caps/_z.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ZValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="z", parent_name="isosurface.caps", **kwargs):
super(ZValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_c... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@isosurface@caps@_z.py@.PATH_END.py |
{
"filename": "errors.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/samp/errors.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
Defines custom errors and exceptions used in `astropy.samp`.
"""
import xmlrpc.client as xmlrpc
from astropy.utils.exceptions import AstropyUserWarning
__all__ = ["SAMPClientError", "SAMPHubError", "SAMPProxyError", "SAMPWarning"]
class SAMPWarnin... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@samp@errors.py@.PATH_END.py |
{
"filename": "FontFile.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pillow/py2/PIL/FontFile.py",
"type": "Python"
} | #
# The Python Imaging Library
# $Id$
#
# base class for raster font file parsers
#
# history:
# 1997-06-05 fl created
# 1997-08-19 fl restrict image width
#
# Copyright (c) 1997-1998 by Secret Labs AB
# Copyright (c) 1997-1998 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pillow@py2@PIL@FontFile.py@.PATH_END.py |
{
"filename": "_showline.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/xaxis/_showline.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowlineValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="showline", parent_name="layout.xaxis", **kwargs):
super(ShowlineValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@xaxis@_showline.py@.PATH_END.py |
{
"filename": "_angleref.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatterpolar/marker/_angleref.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class AnglerefValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="angleref", parent_name="scatterpolar.marker", **kwargs
):
super(AnglerefValidator, self).__init__(
plotly_name=plotly_name,
pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatterpolar@marker@_angleref.py@.PATH_END.py |
{
"filename": "arima211_css_results.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/statsmodels/tsa/tests/results/arima211_css_results.py",
"type": "Python"
} | import numpy as np
from statsmodels.tools.tools import Bunch
llf = np.array([-240.29558272688])
nobs = np.array([202])
k = np.array([5])
k_exog = np.array([1])
sigma = np.array([.79494581155191])
chi2 = np.array([1213.6019521322])
df_model = np.array([3])
k_ar = np.array([2])
k_ma = np.array([1])
params = np... | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@statsmodels@tsa@tests@results@arima211_css_results.py@.PATH_END.py |
{
"filename": "bug_report.md",
"repo_name": "handley-lab/lsbi",
"repo_path": "lsbi_extracted/lsbi-master/.github/ISSUE_TEMPLATE/bug_report.md",
"type": "Markdown"
} | ---
name: Bug report
about: Create a report to help us improve
labels:
---
**Describe the bug**
A clear and concise description of what the bug is.
**To Reproduce**
Steps to reproduce the behaviour.
**Expected behavior**
A clear and concise description of what you expected to happen.
**Screenshots**
If applicable... | handley-labREPO_NAMElsbiPATH_START.@lsbi_extracted@lsbi-master@.github@ISSUE_TEMPLATE@bug_report.md@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "e-merlin/eMERLIN_CASA_pipeline",
"repo_path": "eMERLIN_CASA_pipeline_extracted/eMERLIN_CASA_pipeline-master/README.md",
"type": "Markdown"
} | 1. [ Description ](#description)
1. [ Dependencies ](#dependencies)
1. [ Download ](#download)
1. [ Quick start ](#quickstart)
1. [ Usage ](#usage)
1. [ Additional information ](#information)
1. [ FAQ ](#faq)
<a name="description"></a>
## Description ##
The e-MERLIN CASA Pipeline (eMCP) is a python pipeline working... | e-merlinREPO_NAMEeMERLIN_CASA_pipelinePATH_START.@eMERLIN_CASA_pipeline_extracted@eMERLIN_CASA_pipeline-master@README.md@.PATH_END.py |
{
"filename": "_bgcolorsrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/image/hoverlabel/_bgcolorsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="bgcolorsrc", parent_name="image.hoverlabel", **kwargs
):
super(BgcolorsrcValidator, self).__init__(
plotly_name=plotly_name,
parent... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@image@hoverlabel@_bgcolorsrc.py@.PATH_END.py |
{
"filename": "USAGE.md",
"repo_name": "christophmschaefer/miluphcuda",
"repo_path": "miluphcuda_extracted/miluphcuda-main/test_cases/gravity_merging/USAGE.md",
"type": "Markdown"
} | Gravity merging test case for miluphcuda
----------------------------------------
Christoph Burger
christoph.burger@uni-tuebingen.de
last updated: 15/Nov/2021
-----------------------------------------
This is a test case of "gently" merging spheres, in a mass range at the transition of the strength and gravity re... | christophmschaeferREPO_NAMEmiluphcudaPATH_START.@miluphcuda_extracted@miluphcuda-main@test_cases@gravity_merging@USAGE.md@.PATH_END.py |
{
"filename": "_tick0.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/surface/colorbar/_tick0.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="tick0", parent_name="surface.colorbar", **kwargs):
super(Tick0Validator, 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@colorbar@_tick0.py@.PATH_END.py |
{
"filename": "test_multi_wavelength_greedy.py",
"repo_name": "rodluger/starry",
"repo_path": "starry_extracted/starry-master/tests/greedy/test_multi_wavelength_greedy.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Test multi-wavelength maps.
"""
import starry
import pytest
import itertools
import numpy as np
# Params combinations
ydeg = [2]
udeg = [0]
nw = [5]
rv = [False, True]
reflected = [False, True]
params = list(itertools.product(ydeg, udeg, nw, rv, reflected))
# Reflected light + radial vel... | rodlugerREPO_NAMEstarryPATH_START.@starry_extracted@starry-master@tests@greedy@test_multi_wavelength_greedy.py@.PATH_END.py |
{
"filename": "controls.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/prompt-toolkit/py3/prompt_toolkit/layout/controls.py",
"type": "Python"
} | """
User interface Controls for the layout.
"""
from __future__ import annotations
import time
from abc import ABCMeta, abstractmethod
from typing import TYPE_CHECKING, Callable, Hashable, Iterable, NamedTuple
from prompt_toolkit.application.current import get_app
from prompt_toolkit.buffer import Buffer
from prompt... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@prompt-toolkit@py3@prompt_toolkit@layout@controls.py@.PATH_END.py |
{
"filename": "load_model.py",
"repo_name": "vtardugno/TESS-CNN",
"repo_path": "TESS-CNN_extracted/TESS-CNN-main/load_model.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import torch.nn.functional as F
import os
import torch
import torch.nn as nn
import time
import pandas as pd
from sklearn import manifold, datasets
from sklearn.metrics import precision_recall_fscore_support, roc_curve, con... | vtardugnoREPO_NAMETESS-CNNPATH_START.@TESS-CNN_extracted@TESS-CNN-main@load_model.py@.PATH_END.py |
{
"filename": "plot_line_survey.py",
"repo_name": "radis/radis",
"repo_path": "radis_extracted/radis-master/examples/0_Database_handling/plot_line_survey.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
===========
Line Survey
===========
Plot details of every single line in a spectrum.
Uses the :py:meth:`~radis.spectrum.spectrum.Spectrum.line_survey` function.
"""
from radis import calc_spectrum
s = calc_spectrum(
wavenum_min=2380,
wavenum_max=2400,
mole_fraction=400e-6,
... | radisREPO_NAMEradisPATH_START.@radis_extracted@radis-master@examples@0_Database_handling@plot_line_survey.py@.PATH_END.py |
{
"filename": "sklearn.py",
"repo_name": "hyperopt/hyperopt",
"repo_path": "hyperopt_extracted/hyperopt-master/hyperopt/sklearn.py",
"type": "Python"
} | """Scikit-learn integration.
This class is based on :class:`sklearn.model_selection._search.BaseSearchCV` and
inspired by :class:sklearn.model_selection._search_successive_halving.BaseSuccessiveHalving`.
"""
import numpy as np
from sklearn.model_selection._search import is_classifier
from sklearn.model_selection._sea... | hyperoptREPO_NAMEhyperoptPATH_START.@hyperopt_extracted@hyperopt-master@hyperopt@sklearn.py@.PATH_END.py |
{
"filename": "tf_tag_sigdef_test.py",
"repo_name": "triton-inference-server/server",
"repo_path": "server_extracted/server-main/qa/L0_tf_tag_sigdef/tf_tag_sigdef_test.py",
"type": "Python"
} | #!/usr/bin/env python3
# Copyright 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
... | triton-inference-serverREPO_NAMEserverPATH_START.@server_extracted@server-main@qa@L0_tf_tag_sigdef@tf_tag_sigdef_test.py@.PATH_END.py |
{
"filename": "tfsa-2022-102.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/security/advisory/tfsa-2022-102.md",
"type": "Markdown"
} | ## TFSA-2022-102: Segfault in `QuantizedInstanceNorm`
### CVE Number
CVE-2022-35970
### Impact
If `QuantizedInstanceNorm` is given `x_min` or `x_max` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack.
```python
import tensorflow as tf
output_range_given = Fals... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@security@advisory@tfsa-2022-102.md@.PATH_END.py |
{
"filename": "core.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/time/core.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
The astropy.time package provides functionality for manipulating times and
dates. Specific emphasis is placed on supporting time scales (e.g. UTC, TAI,
UT1) and time representations (e.g. JD, MJD, ISO 8601) that are used in
astronomy.
"""
from __futur... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@time@core.py@.PATH_END.py |
{
"filename": "medstddev.py",
"repo_name": "kevin218/Eureka",
"repo_path": "Eureka_extracted/Eureka-main/src/eureka/lib/medstddev.py",
"type": "Python"
} | import numpy as np
def medstddev(data, mask=None, medi=False, axis=0):
"""Compute the stddev with respect to the median.
This is rather than the standard method of using the mean.
Parameters
----------
data : ndarray
An array from which to caculate the median standard deviation.
mask... | kevin218REPO_NAMEEurekaPATH_START.@Eureka_extracted@Eureka-main@src@eureka@lib@medstddev.py@.PATH_END.py |
{
"filename": "_title.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/scatterternary/marker/colorbar/_title.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Title(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "scatterternary.marker.colorbar"
_path_str = "scatterternary.marker.colorbar.title"
_valid_pro... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@scatterternary@marker@colorbar@_title.py@.PATH_END.py |
{
"filename": "yamlModelBuilder.py",
"repo_name": "xgds/xgds_core",
"repo_path": "xgds_core_extracted/xgds_core-master/xgds_core/importer/yamlModelBuilder.py",
"type": "Python"
} | #! /usr/bin/env python
# __BEGIN_LICENSE__
# Copyright (c) 2015, United States Government, as represented by the
# Administrator of the National Aeronautics and Space Administration.
# All rights reserved.
#
# The xGDS platform is licensed under the Apache License, Version 2.0
# (the "License"); you may not use this fi... | xgdsREPO_NAMExgds_corePATH_START.@xgds_core_extracted@xgds_core-master@xgds_core@importer@yamlModelBuilder.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/pointcloud/stream/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._token import TokenValidator
from ._maxpoints import MaxpointsValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._token.TokenValidator", "._maxpoints.MaxpointsValid... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@pointcloud@stream@__init__.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/indicator/gauge/axis/tickfont/_variant.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VariantValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="variant",
parent_name="indicator.gauge.axis.tickfont",
**kwargs,
):
super(VariantValidator, self).__init__(
plotly_... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@indicator@gauge@axis@tickfont@_variant.py@.PATH_END.py |
{
"filename": "_variant.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/parcoords/labelfont/_variant.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VariantValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="variant", parent_name="parcoords.labelfont", **kwargs
):
super(VariantValidator, self).__init__(
plotly_name=plotly_name,
paren... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@parcoords@labelfont@_variant.py@.PATH_END.py |
{
"filename": "almaqa2isg.py",
"repo_name": "lucatelli/morphen",
"repo_path": "morphen_extracted/morphen-main/analysis_scripts/almaqa2isg.py",
"type": "Python"
} | # ALMA Quality Assurance Software
# QA2 Imaging Script Generator
# D. Petry (ESO)
# A. Borkar (EU ARC Node, Czech Republic)
# G. Bendo (EU ARC Node, UK)
# $Id: almaqa2isg.py,v 1.24 2021/10/27 09:52:59 dpetry Exp $
#
"""
The ALMA QA2 Imaging Script Generator
"""
from __future__ import print_function
import os
import s... | lucatelliREPO_NAMEmorphenPATH_START.@morphen_extracted@morphen-main@analysis_scripts@almaqa2isg.py@.PATH_END.py |
{
"filename": "axislines.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/matplotlib/py2/mpl_toolkits/axisartist/axislines.py",
"type": "Python"
} | """
Axislines includes modified implementation of the Axes class. The
biggest difference is that the artists responsible for drawing the axis spine,
ticks, ticklabels and axis labels are separated out from mpl's Axis
class. Originally, this change was motivated to support curvilinear
grid. Here are a few reasons that I... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@matplotlib@py2@mpl_toolkits@axisartist@axislines.py@.PATH_END.py |
{
"filename": "codediff_test.py",
"repo_name": "google/flax",
"repo_path": "flax_extracted/flax-main/docs_nnx/_ext/codediff_test.py",
"type": "Python"
} | # Copyright 2024 The Flax Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | googleREPO_NAMEflaxPATH_START.@flax_extracted@flax-main@docs_nnx@_ext@codediff_test.py@.PATH_END.py |
{
"filename": "_hovertemplate.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/bar/_hovertemplate.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="hovertemplate", parent_name="bar", **kwargs):
super(HovertemplateValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_na... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@bar@_hovertemplate.py@.PATH_END.py |
{
"filename": "pastecat_runner.py",
"repo_name": "CosmoStat/shapepipe",
"repo_path": "shapepipe_extracted/shapepipe-master/shapepipe/modules/pastecat_runner.py",
"type": "Python"
} | """PASTECAT RUNNER.
Module runner for ``pastecat``.
:Author: Martin Kilbinger <martin.kilbinger@cea.fr>, Axel Guinot
"""
from shapepipe.modules.module_decorator import module_runner
from shapepipe.modules.pastecat_package.pastecat import PasteCat
@module_runner(
version='1.1',
input_module='sextractor_run... | CosmoStatREPO_NAMEshapepipePATH_START.@shapepipe_extracted@shapepipe-master@shapepipe@modules@pastecat_runner.py@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/sankey/hoverlabel/_font.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Font(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "sankey.hoverlabel"
_path_str = "sankey.hoverlabel.font"
_valid_props = {"color", "colorsrc", "... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@sankey@hoverlabel@_font.py@.PATH_END.py |
{
"filename": "_bgcolor.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/indicator/gauge/_bgcolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(self, plotly_name="bgcolor", parent_name="indicator.gauge", **kwargs):
super(BgcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@indicator@gauge@_bgcolor.py@.PATH_END.py |
{
"filename": "exampleHRO.py",
"repo_name": "solerjuan/magnetar",
"repo_path": "magnetar_extracted/magnetar-master/examples/exampleHRO.py",
"type": "Python"
} | # Example of the histogram of orientated gradients (HRO) method
# applied to the column density and magnetic field orientation observations toward the Taurus molecular cloud
# See Planck Collaboration XXXV. A&A, 586 (2016) A138
#
# This file is part of Magnetar
#
# Copyright (C) 2013-2023 Juan Diego Soler
import sys
i... | solerjuanREPO_NAMEmagnetarPATH_START.@magnetar_extracted@magnetar-master@examples@exampleHRO.py@.PATH_END.py |
{
"filename": "google_palm.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/llms/google_palm.py",
"type": "Python"
} | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.llms import GooglePalm
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
DEPRECATED_LOO... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@llms@google_palm.py@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/streamtube/hoverlabel/_font.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="font", parent_name="streamtube.hoverlabel", **kwargs
):
super(FontValidator, self).__init__(
plotly_name=plotly_name,
parent_name=pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@streamtube@hoverlabel@_font.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "exobssim/rapoc-public",
"repo_path": "rapoc-public_extracted/rapoc-public-master/rapoc/models/utils/__init__.py",
"type": "Python"
} | exobssimREPO_NAMErapoc-publicPATH_START.@rapoc-public_extracted@rapoc-public-master@rapoc@models@utils@__init__.py@.PATH_END.py | |
{
"filename": "__init__.py",
"repo_name": "steven-murray/mrpy",
"repo_path": "mrpy_extracted/mrpy-master/mrpy/__init__.py",
"type": "Python"
} | __version__ = "1.1.0"
from mrpy.base.stats import TGGD
from mrpy.base.core import MRP, dndm
from mrpy.extra.physical_dependence import mrp_b13
| steven-murrayREPO_NAMEmrpyPATH_START.@mrpy_extracted@mrpy-master@mrpy@__init__.py@.PATH_END.py |
{
"filename": "1_create_config_file.py",
"repo_name": "nu-radio/NuRadioMC",
"repo_path": "NuRadioMC_extracted/NuRadioMC-master/NuRadioReco/examples/cr_efficiency_analysis/1_create_config_file.py",
"type": "Python"
} | import numpy as np
import helper_cr_eff as hcr
import json
import os
from NuRadioReco.utilities import units
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--output_path', type=str, nargs='?', default=os.path.dirname(__file__),
help='Path to save output, most likely the pat... | nu-radioREPO_NAMENuRadioMCPATH_START.@NuRadioMC_extracted@NuRadioMC-master@NuRadioReco@examples@cr_efficiency_analysis@1_create_config_file.py@.PATH_END.py |
{
"filename": "test_scalar_ctors.py",
"repo_name": "numpy/numpy",
"repo_path": "numpy_extracted/numpy-main/numpy/_core/tests/test_scalar_ctors.py",
"type": "Python"
} | """
Test the scalar constructors, which also do type-coercion
"""
import pytest
import numpy as np
from numpy.testing import (
assert_equal, assert_almost_equal, assert_warns,
)
class TestFromString:
def test_floating(self):
# Ticket #640, floats from string
fsingle = np.single('1.234')
... | numpyREPO_NAMEnumpyPATH_START.@numpy_extracted@numpy-main@numpy@_core@tests@test_scalar_ctors.py@.PATH_END.py |
{
"filename": "04_metrics.ipynb",
"repo_name": "vortex-exoplanet/VIP",
"repo_path": "VIP_extracted/VIP-master/docs/source/tutorials/04_metrics.ipynb",
"type": "Jupyter Notebook"
} | # 4. Metrics
> Authors: *Valentin Christiaens* and *Carlos Alberto Gomez Gonzalez*
> Suitable for VIP *v1.0.0* onwards
> Last update: *06/06/2024*
**Table of contents**
* [4.1. Loading ADI data](#4.1.-Loading-ADI-data)
* [4.2. Signal-to-noise ratio and significance](#4.2.-Signal-to-noise-ratio-and-significance)
... | vortex-exoplanetREPO_NAMEVIPPATH_START.@VIP_extracted@VIP-master@docs@source@tutorials@04_metrics.ipynb@.PATH_END.py |
{
"filename": "data.md",
"repo_name": "dmentipl/plonk",
"repo_path": "plonk_extracted/plonk-main/docs/source/api/data.md",
"type": "Markdown"
} | # Data
```{eval-rst}
.. currentmodule:: plonk
```
SPH snapshot files are represented by the {class}`Snap` class. This object
contains a properties dictionary, particle arrays, which are lazily loaded from
file, sink arrays, and additional metadata. There are methods for accessing
arrays, sub-sets of particles, plotti... | dmentiplREPO_NAMEplonkPATH_START.@plonk_extracted@plonk-main@docs@source@api@data.md@.PATH_END.py |
{
"filename": "data_structures.py",
"repo_name": "yt-project/yt",
"repo_path": "yt_extracted/yt-main/yt/frontends/eagle/data_structures.py",
"type": "Python"
} | import numpy as np
import yt.units
from yt.fields.field_info_container import FieldInfoContainer
from yt.frontends.gadget.data_structures import GadgetHDF5Dataset
from yt.frontends.owls.fields import OWLSFieldInfo
from yt.utilities.on_demand_imports import _h5py as h5py
from .fields import EagleNetworkFieldInfo
cla... | yt-projectREPO_NAMEytPATH_START.@yt_extracted@yt-main@yt@frontends@eagle@data_structures.py@.PATH_END.py |
{
"filename": "micro_benchmarks.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/ops/numpy_ops/integration_test/benchmarks/micro_benchmarks.py",
"type": "Python"
} | # Copyright 2020 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@ops@numpy_ops@integration_test@benchmarks@micro_benchmarks.py@.PATH_END.py |
{
"filename": "bug_report.md",
"repo_name": "fritz-marshal/fritz",
"repo_path": "fritz_extracted/fritz-main/.github/ISSUE_TEMPLATE/bug_report.md",
"type": "Markdown"
} | ---
name: Bug report
about: Create a report to help us improve
title: ''
labels: bug
assignees: ''
---
Please fill out relevant sections below; remove those that are unused.
**Describe the bug**
A clear and concise description of what the bug is.
**To Reproduce**
Steps to reproduce the behavior:
1. Go to '...'
2. C... | fritz-marshalREPO_NAMEfritzPATH_START.@fritz_extracted@fritz-main@.github@ISSUE_TEMPLATE@bug_report.md@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "rometsch/fargocpt",
"repo_path": "fargocpt_extracted/fargocpt-master/python_module/fargocpt/__init__.py",
"type": "Python"
} | from .run import run
try:
from .data import Loader
except ImportError:
pass
try:
from .overview import Overview
except ImportError:
pass | rometschREPO_NAMEfargocptPATH_START.@fargocpt_extracted@fargocpt-master@python_module@fargocpt@__init__.py@.PATH_END.py |
{
"filename": "test_simulations_gs_fcoll.py",
"repo_name": "mirochaj/ares",
"repo_path": "ares_extracted/ares-main/tests/test_simulations_gs_fcoll.py",
"type": "Python"
} | """
test_gs_backcompat.py
Author: Jordan Mirocha
Affiliation: UCLA
Created on: Wed Apr 4 09:37:25 PDT 2018
Description: Make sure changes in input parameters result in changes in
the signal! Also a test of backward compatibility.
"""
import ares
import numpy as np
def test():
oldp = ['fstar', 'fX', 'Tmin',... | mirochajREPO_NAMEaresPATH_START.@ares_extracted@ares-main@tests@test_simulations_gs_fcoll.py@.PATH_END.py |
{
"filename": "test_util.py",
"repo_name": "casacore/python-casacore",
"repo_path": "python-casacore_extracted/python-casacore-master/tests/test_util.py",
"type": "Python"
} | import unittest
from pyrap.util import substitute
def f1(arg):
a = 3
s = substitute('subs as $a $arg', locals=locals())
print(a, arg, s)
class TestUtil(unittest.TestCase):
def test_util(self):
a = 1
b = 2
p = "$((a+b)*(a+b))"
s = substitute(p, locals=locals())
... | casacoreREPO_NAMEpython-casacorePATH_START.@python-casacore_extracted@python-casacore-master@tests@test_util.py@.PATH_END.py |
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