metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "CornerPlotExamples.ipynb",
"repo_name": "nickfarrow/GalacticDNSMass",
"repo_path": "GalacticDNSMass_extracted/GalacticDNSMass-master/mainCode/Plotting/CornerPlotExamples.ipynb",
"type": "Jupyter Notebook"
} | ```python
import matplotlib.pyplot as plt
import corner
import pymultinest
#Imports
import numpy as np
from scipy import stats
from scipy.special import erf
import json
import os
import sys
import random
from math import log10, floor
### Top directory for the location of project files.
topDirectory = '../'
if not... | nickfarrowREPO_NAMEGalacticDNSMassPATH_START.@GalacticDNSMass_extracted@GalacticDNSMass-master@mainCode@Plotting@CornerPlotExamples.ipynb@.PATH_END.py |
{
"filename": "detection_discrepancy_LCO.py",
"repo_name": "cy-xu/cosmic-conn",
"repo_path": "cosmic-conn_extracted/cosmic-conn-main/paper_utils/detection_discrepancy_LCO.py",
"type": "Python"
} | from inference_cr import init_model, detect_2d_array
from enum import auto
import os
import numpy as np
from astropy.io import fits
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import astroscrappy.astroscrappy as lac
from sys import path
from os.path import dirname as dir
path.append(dir(path[0])... | cy-xuREPO_NAMEcosmic-connPATH_START.@cosmic-conn_extracted@cosmic-conn-main@paper_utils@detection_discrepancy_LCO.py@.PATH_END.py |
{
"filename": "tfsa-2021-005.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/security/advisory/tfsa-2021-005.md",
"type": "Markdown"
} | ## TFSA-2021-005: Null pointer dereference via invalid Ragged Tensors
### CVE Number
CVE-2021-29516
### Impact
Calling `tf.raw_ops.RaggedTensorToVariant` with arguments specifying an invalid ragged tensor results in a null pointer dereference:
```python
import tensorflow as tf
input_tensor = tf.constant([], shape=[... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@security@advisory@tfsa-2021-005.md@.PATH_END.py |
{
"filename": "tmap_day_night_scaled.py",
"repo_name": "Jingxuan97/nemesispy",
"repo_path": "nemesispy_extracted/nemesispy-main/nemesispy/models/backup_tmaps/tmap_day_night_scaled.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import numpy as np
from nemesispy.models.TP_profiles import TP_Guillot
def tmap_day_night_scaled(P_grid, lon_grid, lat_grid, g_plt, T_eq,
scale, phase_offset,
log_kappa_day, log_gamma_day, log_f_day, T_int_day,
log_kappa_night, log_gamma_night, log_f_night, T_... | Jingxuan97REPO_NAMEnemesispyPATH_START.@nemesispy_extracted@nemesispy-main@nemesispy@models@backup_tmaps@tmap_day_night_scaled.py@.PATH_END.py |
{
"filename": "test_statistics.py",
"repo_name": "mwaskom/seaborn",
"repo_path": "seaborn_extracted/seaborn-master/tests/test_statistics.py",
"type": "Python"
} | import numpy as np
import pandas as pd
try:
import statsmodels.distributions as smdist
except ImportError:
smdist = None
import pytest
from numpy.testing import assert_array_equal, assert_array_almost_equal
from seaborn._statistics import (
KDE,
Histogram,
ECDF,
EstimateAggregator,
Letter... | mwaskomREPO_NAMEseabornPATH_START.@seaborn_extracted@seaborn-master@tests@test_statistics.py@.PATH_END.py |
{
"filename": "_legendgroup.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/splom/_legendgroup.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="legendgroup", parent_name="splom", **kwargs):
super(LegendgroupValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@splom@_legendgroup.py@.PATH_END.py |
{
"filename": "IncrementCullenMultipliersInst.cc.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/ArtificialViscosity/IncrementCullenMultipliersInst.cc.py",
"type": "Python"
} | text = """
//------------------------------------------------------------------------------
// Explicit instantiation.
//------------------------------------------------------------------------------
#include "Geometry/Dimension.hh"
#include "ArtificialViscosity/IncrementCullenMultipliers.cc"
namespace Spheral {
tem... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@ArtificialViscosity@IncrementCullenMultipliersInst.cc.py@.PATH_END.py |
{
"filename": "Constant_test.py",
"repo_name": "Pranab-JD/LeXInt",
"repo_path": "LeXInt_extracted/LeXInt-main/Python/Test/Constant_test.py",
"type": "Python"
} | """
Created on Sat Aug 14 11:31:19 2022
@author: Pranab JD
Description: Constant Test
"""
import os, sys, shutil
import numpy as np
from scipy.sparse import csr_matrix
import matplotlib.pyplot as plt
from datetime import datetime
startTime = datetime.now()
### -----------------------------------------------------... | Pranab-JDREPO_NAMELeXIntPATH_START.@LeXInt_extracted@LeXInt-main@Python@Test@Constant_test.py@.PATH_END.py |
{
"filename": "vq.py",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/jax/_src/scipy/cluster/vq.py",
"type": "Python"
} | # Copyright 2022 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@scipy@cluster@vq.py@.PATH_END.py |
{
"filename": "test_pdtr.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py3/scipy/special/tests/test_pdtr.py",
"type": "Python"
} | import numpy as np
import scipy.special as sc
from numpy.testing import assert_almost_equal, assert_array_equal
class TestPdtr:
def test(self):
val = sc.pdtr(0, 1)
assert_almost_equal(val, np.exp(-1))
def test_m_zero(self):
val = sc.pdtr([0, 1, 2], 0)
assert_array_equal(val, [... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py3@scipy@special@tests@test_pdtr.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatterternary/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... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatterternary@marker@colorbar@title@font@__init__.py@.PATH_END.py |
{
"filename": "interpolation.py",
"repo_name": "gammapy/gammapy",
"repo_path": "gammapy_extracted/gammapy-main/gammapy/utils/interpolation.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""Interpolation utilities."""
import html
from itertools import compress
import numpy as np
import scipy.interpolate
from astropy import units as u
from .compat import COPY_IF_NEEDED
__all__ = [
"interpolate_profile",
"interpolation_scale",
... | gammapyREPO_NAMEgammapyPATH_START.@gammapy_extracted@gammapy-main@gammapy@utils@interpolation.py@.PATH_END.py |
{
"filename": "_y.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/surface/contours/z/project/_y.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class YValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="y", parent_name="surface.contours.z.project", **kwargs
):
super(YValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@surface@contours@z@project@_y.py@.PATH_END.py |
{
"filename": "util.py",
"repo_name": "MNiwano/Eclaire",
"repo_path": "Eclaire_extracted/Eclaire-master/eclaire/util.py",
"type": "Python"
} |
# -*- coding: utf-8 -*-
import warnings
import cupy as cp
from . import common
def set_dtype(dtype):
'''
Change the default dtype used in all functions
and classes in this package.
Parameters
----------
dtype : str or dtype
'''
common.default_dtype = judge_dtype(dtype).name
def j... | MNiwanoREPO_NAMEEclairePATH_START.@Eclaire_extracted@Eclaire-master@eclaire@util.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/filelock/py2/README.md",
"type": "Markdown"
} | # py-filelock
[](https://pypi.org/project/filelock/)
[](https://pypi.org/project/filelock/)
[![Documentation
status](https://readthedocs.org/projects/py-filelock/badge/?vers... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@filelock@py2@README.md@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/choroplethmap/colorbar/title/_font.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="font", parent_name="choroplethmap.colorbar.title", **kwargs
):
super(FontValidator, self).__init__(
plotly_name=plotly_name,
parent_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@choroplethmap@colorbar@title@_font.py@.PATH_END.py |
{
"filename": "_gridcolor.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/carpet/aaxis/_gridcolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(self, plotly_name="gridcolor", parent_name="carpet.aaxis", **kwargs):
super(GridcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@carpet@aaxis@_gridcolor.py@.PATH_END.py |
{
"filename": "visualization.md",
"repo_name": "hannorein/REBOUND",
"repo_path": "REBOUND_extracted/REBOUND-main/docs/visualization.md",
"type": "Markdown"
} | # Visualization
Starting with version 4, REBOUND includes new real-time interactive 3D visualizations.
The code for these visualization is built-upon the previous OpenGL visualizations that came with the C version of REBOUND.
However, the new visualization feature has several advantages
- There are zero dependencie... | hannoreinREPO_NAMEREBOUNDPATH_START.@REBOUND_extracted@REBOUND-main@docs@visualization.md@.PATH_END.py |
{
"filename": "test_callbacks.py",
"repo_name": "DLR-RM/stable-baselines3",
"repo_path": "stable-baselines3_extracted/stable-baselines3-master/tests/test_callbacks.py",
"type": "Python"
} | import os
import shutil
import gymnasium as gym
import numpy as np
import pytest
import torch as th
from stable_baselines3 import A2C, DDPG, DQN, PPO, SAC, TD3, HerReplayBuffer
from stable_baselines3.common.callbacks import (
BaseCallback,
CallbackList,
CheckpointCallback,
EvalCallback,
EveryNTime... | DLR-RMREPO_NAMEstable-baselines3PATH_START.@stable-baselines3_extracted@stable-baselines3-master@tests@test_callbacks.py@.PATH_END.py |
{
"filename": "backend_wxcairo.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/matplotlib/py3/matplotlib/backends/backend_wxcairo.py",
"type": "Python"
} | import wx.lib.wxcairo as wxcairo
from .backend_cairo import cairo, FigureCanvasCairo
from .backend_wx import _BackendWx, _FigureCanvasWxBase
from .backend_wx import ( # noqa: F401 # pylint: disable=W0611
NavigationToolbar2Wx as NavigationToolbar2WxCairo)
class FigureCanvasWxCairo(FigureCanvasCairo, _FigureCanva... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@matplotlib@py3@matplotlib@backends@backend_wxcairo.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "simonsobs/sotodlib",
"repo_path": "sotodlib_extracted/sotodlib-master/sotodlib/toast/io/__init__.py",
"type": "Python"
} | # Copyright (c) 2020-2022 Simons Observatory.
# Full license can be found in the top level "LICENSE" file.
"""Simons Observatory TOAST I/O helper classes.
"""
from .save_book import (
book_name_from_obs,
write_book,
)
from .load_book import (
parse_book_name,
parse_book_time,
read_book,
)
| simonsobsREPO_NAMEsotodlibPATH_START.@sotodlib_extracted@sotodlib-master@sotodlib@toast@io@__init__.py@.PATH_END.py |
{
"filename": "save_model__div_desc.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/_includes/work_src/reusage-python/save_model__div_desc.md",
"type": "Markdown"
} |
Save the model borders to a file.
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@_includes@work_src@reusage-python@save_model__div_desc.md@.PATH_END.py |
{
"filename": "nfw_vir_trunc.py",
"repo_name": "sibirrer/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/lenstronomy/LensModel/Profiles/nfw_vir_trunc.py",
"type": "Python"
} | __author__ = "sibirrer"
# this file contains a class to compute the Navaro-Frank-White function in mass/kappa space
# the potential therefore is its integral
import numpy as np
from lenstronomy.Util import constants as const
from lenstronomy.LensModel.Profiles.base_profile import LensProfileBase
from lenstronomy.Cosm... | sibirrerREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@lenstronomy@LensModel@Profiles@nfw_vir_trunc.py@.PATH_END.py |
{
"filename": "image.py",
"repo_name": "CEA-COSMIC/pysap",
"repo_path": "pysap_extracted/pysap-master/pysap/base/image.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
##########################################################################
# pySAP - Copyright (C) CEA, 2017 - 2018
# Distributed under the terms of the CeCILL-B license, as published by
# the CEA-CNRS-INRIA. Refer to the LICENSE file or to
# http://www.cecill.info/licences/Licence_CeCILL-B_V1-e... | CEA-COSMICREPO_NAMEpysapPATH_START.@pysap_extracted@pysap-master@pysap@base@image.py@.PATH_END.py |
{
"filename": "test_rawfile_grouping.py",
"repo_name": "timstaley/drive-ami",
"repo_path": "drive-ami_extracted/drive-ami-master/driveami/tests/test_rawfile_grouping.py",
"type": "Python"
} | import unittest
from unittest import TestCase
import os
import driveami
import driveami.tests.resources as resources
import logging
logging.basicConfig(level=logging.DEBUG)
import pickle
# @unittest.skip
class TestGrouping(TestCase):
def setUp(self):
env_extras = resources.setup_testdata_symlink()
... | timstaleyREPO_NAMEdrive-amiPATH_START.@drive-ami_extracted@drive-ami-master@driveami@tests@test_rawfile_grouping.py@.PATH_END.py |
{
"filename": "mlemodel.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/statsmodels/tsa/mlemodel.py",
"type": "Python"
} | """Base Classes for Likelihood Models in time series analysis
Warning: imports numdifftools
Created on Sun Oct 10 15:00:47 2010
Author: josef-pktd
License: BSD
"""
try:
import numdifftools as ndt
except ImportError:
pass
from statsmodels.base.model import LikelihoodModel
#copied from sandbox/regressi... | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@statsmodels@tsa@mlemodel.py@.PATH_END.py |
{
"filename": "model.py",
"repo_name": "jfcrenshaw/photerr",
"repo_path": "photerr_extracted/photerr-main/photerr/model.py",
"type": "Python"
} | """The photometric error model."""
from typing import Any
import numpy as np
import pandas as pd
from photerr.params import ErrorParams
class ErrorModel:
"""Base error model from Ivezic 2019.
Below is the parameter docstring:
"""
__doc__ += ErrorParams.__doc__
def __init__(self, *args: Error... | jfcrenshawREPO_NAMEphoterrPATH_START.@photerr_extracted@photerr-main@photerr@model.py@.PATH_END.py |
{
"filename": "test_synch_pysm3.py",
"repo_name": "galsci/pysm",
"repo_path": "pysm_extracted/pysm-main/tests/test_synch_pysm3.py",
"type": "Python"
} | import numpy as np
import psutil
import pytest
from astropy.tests.helper import assert_quantity_allclose
import pysm3
from pysm3 import units as u
@pytest.mark.parametrize("model_tag", ["s7"])
def test_synch_model_s7_noscaling(model_tag):
nside = 2048
freq = 23 * u.GHz
model = pysm3.Sky(preset_strings=... | galsciREPO_NAMEpysmPATH_START.@pysm_extracted@pysm-main@tests@test_synch_pysm3.py@.PATH_END.py |
{
"filename": "_showticksuffix.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/scene/zaxis/_showticksuffix.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="showticksuffix", parent_name="layout.scene.zaxis", **kwargs
):
super(ShowticksuffixValidator, self).__init__(
plotly_name=plotly_nam... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@scene@zaxis@_showticksuffix.py@.PATH_END.py |
{
"filename": "transformation.py",
"repo_name": "Harry45/DESEMU",
"repo_path": "DESEMU_extracted/DESEMU-main/torchemu/transformation.py",
"type": "Python"
} | # Author: Dr. Arrykrishna Mootoovaloo
# Date: 17th January 2022
# Email: arrykrish@gmail.com, a.mootoovaloo17@imperial.ac.uk, arrykrishna.mootoovaloo@physics
# Description: Code to transform the inputs to the GP, that is, the input training points
import torch
class PreWhiten(object):
def __init__(self, xinputs:... | Harry45REPO_NAMEDESEMUPATH_START.@DESEMU_extracted@DESEMU-main@torchemu@transformation.py@.PATH_END.py |
{
"filename": "_bgcolor.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/contour/colorbar/_bgcolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(self, plotly_name="bgcolor", parent_name="contour.colorbar", **kwargs):
super(BgcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@contour@colorbar@_bgcolor.py@.PATH_END.py |
{
"filename": "plot_logistic_multinomial.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/examples/linear_model/plot_logistic_multinomial.py",
"type": "Python"
} | """
======================================================================
Decision Boundaries of Multinomial and One-vs-Rest Logistic Regression
======================================================================
This example compares decision boundaries of multinomial and one-vs-rest
logistic regression on a 2D d... | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@examples@linear_model@plot_logistic_multinomial.py@.PATH_END.py |
{
"filename": "quadrature_torch.py",
"repo_name": "astro-informatics/s2fft",
"repo_path": "s2fft_extracted/s2fft-main/s2fft/utils/quadrature_torch.py",
"type": "Python"
} | import torch
from s2fft.sampling import s2_samples as samples
def quad_weights_transform(
L: int, sampling: str = "mwss", nside: int = 0
) -> torch.tensor:
r"""
Compute quadrature weights for :math:`\theta` and :math:`\phi`
integration *to use in transform* for various sampling schemes. Torch impleme... | astro-informaticsREPO_NAMEs2fftPATH_START.@s2fft_extracted@s2fft-main@s2fft@utils@quadrature_torch.py@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "carronj/plancklens",
"repo_path": "plancklens_extracted/plancklens-master/plancklens/sims/utils.py",
"type": "Python"
} | import numpy as np
class sim_lib_shuffle:
"""A simulation library with remapped indices.
"""
def __init__(self, sim_lib, shuffle_dict):
self.sim_lib = sim_lib
self._shuffle = shuffle_dict
def get_sim_tmap(self, idx): return self.sim_lib.get_sim_tmap(int(self._shuffle[idx]))
def ... | carronjREPO_NAMEplancklensPATH_START.@plancklens_extracted@plancklens-master@plancklens@sims@utils.py@.PATH_END.py |
{
"filename": "test_model_residual_maps.py",
"repo_name": "threeML/hawc_hal",
"repo_path": "hawc_hal_extracted/hawc_hal-master/hawc_hal/tests/test_model_residual_maps.py",
"type": "Python"
} | from __future__ import division
from past.utils import old_div
import pytest
from os.path import dirname
from hawc_hal import HealpixConeROI, HAL
from hawc_hal.maptree import map_tree_factory
from threeML import Model, JointLikelihood, DataList
import astropy.units as u
from astromodels import PointSource, ExtendedSour... | threeMLREPO_NAMEhawc_halPATH_START.@hawc_hal_extracted@hawc_hal-master@hawc_hal@tests@test_model_residual_maps.py@.PATH_END.py |
{
"filename": "test_create_master_bkg.py",
"repo_name": "spacetelescope/jwst",
"repo_path": "jwst_extracted/jwst-main/jwst/master_background/tests/test_create_master_bkg.py",
"type": "Python"
} | """
Test for master_background.create_master_bkg
"""
import numpy as np
from jwst.master_background import create_master_bkg
def test_create_master_bkg():
wl = np.arange(37, dtype=np.float64) * 0.1 + 3.
surf_bright = np.ones(37, dtype=np.float64) * 7
model = create_master_bkg.create_background(wl, surf... | spacetelescopeREPO_NAMEjwstPATH_START.@jwst_extracted@jwst-main@jwst@master_background@tests@test_create_master_bkg.py@.PATH_END.py |
{
"filename": "__main__.py",
"repo_name": "gammapy/gammapy",
"repo_path": "gammapy_extracted/gammapy-main/gammapy/__main__.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""Top-level script environment for Gammapy.
This is what's executed when you run:
python -m gammapy
See https://docs.python.org/3/library/__main__.html
"""
import sys
from .scripts.main import cli
if __name__ == "__main__":
sys.exit(cli()) # ... | gammapyREPO_NAMEgammapyPATH_START.@gammapy_extracted@gammapy-main@gammapy@__main__.py@.PATH_END.py |
{
"filename": "Pk_analysis.py",
"repo_name": "Valcin/BE_HaPPy",
"repo_path": "BE_HaPPy_extracted/BE_HaPPy-master/coefficients/simu_ps/0.15eV/NCV2/analysis/Pk_analysis.py",
"type": "Python"
} | import numpy as np
import sys,os,h5py,time
import Pk_library as PKL
################################# INPUT #####################################
redshifts = [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2,
1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0, 2.2, 2.4, 2.6, 2.8, 3.0]
BoxSize = 1000.0 #Mpc/h
###... | ValcinREPO_NAMEBE_HaPPyPATH_START.@BE_HaPPy_extracted@BE_HaPPy-master@coefficients@simu_ps@0.15eV@NCV2@analysis@Pk_analysis.py@.PATH_END.py |
{
"filename": "OneObservationFlow_Tutorial.ipynb",
"repo_name": "folsomcp/specpolFlow",
"repo_path": "specpolFlow_extracted/specpolFlow-main/docs-jb/GetStarted/OneObservationFlow_Tutorial.ipynb",
"type": "Jupyter Notebook"
} | # From normalized spectrum to Bz measurement
<img src="https://github.com/folsomcp/specpolFlow/blob/main/docs-jb/GetStarted/OneObservationFlow_tutorialfiles/diagram4.png?raw=true" align: center width="1000px">
In the below code, we will walk through how to use `SpecpolFlow` (with the use of [`LSDpy`](https://github... | folsomcpREPO_NAMEspecpolFlowPATH_START.@specpolFlow_extracted@specpolFlow-main@docs-jb@GetStarted@OneObservationFlow_Tutorial.ipynb@.PATH_END.py |
{
"filename": "_hoverlabel.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/surface/_hoverlabel.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="hoverlabel", parent_name="surface", **kwargs):
super(HoverlabelValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@surface@_hoverlabel.py@.PATH_END.py |
{
"filename": "pipeline.py",
"repo_name": "lucabaldini/ixpeobssim",
"repo_path": "ixpeobssim_extracted/ixpeobssim-main/ixpeobssim/core/pipeline.py",
"type": "Python"
} | # Copyright (C) 2016--2022, the ixpeobssim team.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
#
# This program is d... | lucabaldiniREPO_NAMEixpeobssimPATH_START.@ixpeobssim_extracted@ixpeobssim-main@ixpeobssim@core@pipeline.py@.PATH_END.py |
{
"filename": "__databases__.py",
"repo_name": "ucl-exoplanets/pylightcurve",
"repo_path": "pylightcurve_extracted/pylightcurve-master/pylightcurve/__databases__.py",
"type": "Python"
} |
import os
import glob
import time
import shutil
from scipy.interpolate import interp1d
from .processes.files import open_dict, open_yaml, save_dict, download, open_dict_online
try:
import zipfile
download_zip = True
except:
download_zip = False
databases_file = '__databases__.pickle'
package_name = 'pyl... | ucl-exoplanetsREPO_NAMEpylightcurvePATH_START.@pylightcurve_extracted@pylightcurve-master@pylightcurve@__databases__.py@.PATH_END.py |
{
"filename": "_width.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/mesh3d/contour/_width.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="width", parent_name="mesh3d.contour", **kwargs):
super(WidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@mesh3d@contour@_width.py@.PATH_END.py |
{
"filename": "_customdatasrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/heatmapgl/_customdatasrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="customdatasrc", parent_name="heatmapgl", **kwargs):
super(CustomdatasrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@heatmapgl@_customdatasrc.py@.PATH_END.py |
{
"filename": "singularity.py",
"repo_name": "ratt-ru/Stimela-classic",
"repo_path": "Stimela-classic_extracted/Stimela-classic-master/stimela/singularity.py",
"type": "Python"
} | import subprocess
import os
import sys
from stimela import utils
from stimela.cargo import cab
import json
import stimela
import time
import datetime
import tempfile
import hashlib
from shutil import which
version = None
for item in ["apptainer", "singularity"]:
BINARY = which(item)
BINARY_NAME = item
if... | ratt-ruREPO_NAMEStimela-classicPATH_START.@Stimela-classic_extracted@Stimela-classic-master@stimela@singularity.py@.PATH_END.py |
{
"filename": "_width.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/violin/meanline/_width.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="width", parent_name="violin.meanline", **kwargs):
super(WidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@violin@meanline@_width.py@.PATH_END.py |
{
"filename": "RVmod_as_py_lib_kep_vs_dyn_example.py",
"repo_name": "3fon3fonov/exostriker",
"repo_path": "exostriker_extracted/exostriker-main/examples/RVmod_as_py_lib_kep_vs_dyn_example.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
This is one VERY simple example how to use RVmod as a fitting library.
The RVmod options however, are a lot more. Reminder: the Exo-Striker
GUI interface is warped around the RVmod.
This example script delas with the Eta Ceti system (the usual demo in
the Exo-Str... | 3fon3fonovREPO_NAMEexostrikerPATH_START.@exostriker_extracted@exostriker-main@examples@RVmod_as_py_lib_kep_vs_dyn_example.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/gemini_instruments/niri/tests/__init__.py",
"type": "Python"
} | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@gemini_instruments@niri@tests@__init__.py@.PATH_END.py | |
{
"filename": "subfindhdf_gadget4_test.py",
"repo_name": "pynbody/pynbody",
"repo_path": "pynbody_extracted/pynbody-master/tests/subfindhdf_gadget4_test.py",
"type": "Python"
} | import numpy as np
import pytest
import pynbody
from pynbody.test_utils.gadget4_subfind_reader import Halos
# tell pytest not to raise warnings across this module
pytestmark = pytest.mark.filterwarnings("ignore:Masses are either stored")
@pytest.fixture(scope='module', autouse=True)
def get_data():
pynbody.test... | pynbodyREPO_NAMEpynbodyPATH_START.@pynbody_extracted@pynbody-master@tests@subfindhdf_gadget4_test.py@.PATH_END.py |
{
"filename": "verticalPotential.py",
"repo_name": "jobovy/galpy",
"repo_path": "galpy_extracted/galpy-main/galpy/potential/verticalPotential.py",
"type": "Python"
} | import numpy
from ..util import conversion
from .DissipativeForce import _isDissipative
from .linearPotential import linearPotential
from .planarPotential import planarPotential
from .Potential import Potential, PotentialError, flatten
class verticalPotential(linearPotential):
"""Class that represents a vertical... | jobovyREPO_NAMEgalpyPATH_START.@galpy_extracted@galpy-main@galpy@potential@verticalPotential.py@.PATH_END.py |
{
"filename": "woden_uv2ms.py",
"repo_name": "JLBLine/WODEN",
"repo_path": "WODEN_extracted/WODEN-master/scripts/woden_uv2ms.py",
"type": "Python"
} | #!/usr/bin/env python3
"""Script to use pyuvdata to convert uvfits files to measurement sets`
"""
from subprocess import call
import numpy as np
import os
import argparse
import sys
from pyuvdata import UVData
def make_ms(uvfits_file, no_delete=False):
"""Takes a path to a uvfits file, checks it exists, and conver... | JLBLineREPO_NAMEWODENPATH_START.@WODEN_extracted@WODEN-master@scripts@woden_uv2ms.py@.PATH_END.py |
{
"filename": "dok.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/scipy/sparse/dok.py",
"type": "Python"
} | """Dictionary Of Keys based matrix"""
from __future__ import division, print_function, absolute_import
__docformat__ = "restructuredtext en"
__all__ = ['dok_matrix', 'isspmatrix_dok']
import functools
import operator
import itertools
import numpy as np
from scipy._lib.six import zip as izip, xrange, iteritems, it... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@scipy@sparse@dok.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "moble/scri",
"repo_path": "scri_extracted/scri-main/scri/SpEC/file_io/__init__.py",
"type": "Python"
} | # Copyright (c) 2021, Michael Boyle
# See LICENSE file for details: <https://github.com/moble/spherical_functions/blob/master/LICENSE>
import warnings
import os
import re
import ast
import numpy as np
import h5py
import quaternion
import spherical_functions as sf
from ... import (
jit,
WaveformModes,
Frame... | mobleREPO_NAMEscriPATH_START.@scri_extracted@scri-main@scri@SpEC@file_io@__init__.py@.PATH_END.py |
{
"filename": "decontest.py",
"repo_name": "drphilmarshall/HumVI",
"repo_path": "HumVI_extracted/HumVI-master/attic/test/decontest.py",
"type": "Python"
} | #!/usr/bin/env/python
##============================================================
"""
Some tests for deconvolution
They aren't extreme
"""
import sys
sys.path.append("../decon/")
sys.path.append("../misc/")
import DeconvolveToTargetPSF as DT
import numpy,scipy
import time
def decontest():
## Original image p... | drphilmarshallREPO_NAMEHumVIPATH_START.@HumVI_extracted@HumVI-master@attic@test@decontest.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/ipython/py3/IPython/testing/plugin/__init__.py",
"type": "Python"
} | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@ipython@py3@IPython@testing@plugin@__init__.py@.PATH_END.py | |
{
"filename": "test_transformations.py",
"repo_name": "LouisDesdoigts/dLux",
"repo_path": "dLux_extracted/dLux-main/tests/test_transformations.py",
"type": "Python"
} | from jax import numpy as np, config
config.update("jax_debug_nans", True)
import pytest
from dLux import CoordTransform
def test_coord_transform():
CoordTransform().calculate(1, 16)
CoordTransform([0.0, 0.0], np.pi, [1, 1], [1, 1]).calculate(1, 16)
with pytest.raises(ValueError):
CoordTransform(t... | LouisDesdoigtsREPO_NAMEdLuxPATH_START.@dLux_extracted@dLux-main@tests@test_transformations.py@.PATH_END.py |
{
"filename": "promptlayer.ipynb",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/docs/docs/integrations/callbacks/promptlayer.ipynb",
"type": "Jupyter Notebook"
} | # PromptLayer
>[PromptLayer](https://docs.promptlayer.com/introduction) is a platform for prompt engineering. It also helps with the LLM observability to visualize requests, version prompts, and track usage.
>
>While `PromptLayer` does have LLMs that integrate directly with LangChain (e.g. [`PromptLayerOpenAI`](/docs/... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@docs@docs@integrations@callbacks@promptlayer.ipynb@.PATH_END.py |
{
"filename": "test_gofplots.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/statsmodels/graphics/tests/test_gofplots.py",
"type": "Python"
} | from statsmodels.compat.python import PYTHON_IMPL_WASM
import numpy as np
import numpy.testing as nptest
from numpy.testing import assert_equal
import pytest
from scipy import stats
import statsmodels.api as sm
from statsmodels.graphics import gofplots
from statsmodels.graphics.gofplots import (
ProbPlot,
qql... | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@statsmodels@graphics@tests@test_gofplots.py@.PATH_END.py |
{
"filename": "read_reno_nu2tautables.py",
"repo_name": "NuSpaceSim/nuSpaceSim",
"repo_path": "nuSpaceSim_extracted/nuSpaceSim-main/src/nuspacesim/data/RenoNu2TauTables/read_reno_nu2tautables.py",
"type": "Python"
} | import math
import h5py
import numpy as np
def extract_pexit_data(filename):
infile = open(filename, "r")
data = [line.split() for line in infile]
b = [(math.pi * float(lne[0]) / 180.0) for lne in data]
le = [math.log10(float(lne[1])) for lne in data]
p = [math.log10(float(lne[-1])) for lne in da... | NuSpaceSimREPO_NAMEnuSpaceSimPATH_START.@nuSpaceSim_extracted@nuSpaceSim-main@src@nuspacesim@data@RenoNu2TauTables@read_reno_nu2tautables.py@.PATH_END.py |
{
"filename": "convert_data_reformatted_LWA_to_CDF.py",
"repo_name": "epic-astronomy/EPIC",
"repo_path": "EPIC_extracted/EPIC-master/main/convert_data_reformatted_LWA_to_CDF.py",
"type": "Python"
} | import data_interface as DI
LWA_reformatted_datafile_prefix = '/data3/t_nithyanandan/project_MOFF/data/samples/lwa_reformatted_data_test'
LWA_pol0_reformatted_datafile = LWA_reformatted_datafile_prefix + '.pol-0.fits'
LWA_pol1_reformatted_datafile = LWA_reformatted_datafile_prefix + '.pol-1.fits'
filelist = [LWA_pol0... | epic-astronomyREPO_NAMEEPICPATH_START.@EPIC_extracted@EPIC-master@main@convert_data_reformatted_LWA_to_CDF.py@.PATH_END.py |
{
"filename": "java-reference_catboostpredictions__copyobjectpredictionsobjectindexpredictions__desc.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/_includes/work_src/reusage-java/java-reference_catboostpredictions__copyobjectpredictionsobjectindexpredicti... |
Copy the prediction for the specified object to the specified array.
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@_includes@work_src@reusage-java@java-reference_catboostpredictions__copyobjectpredictionsobjectindexpredictions__desc.md@.PATH_END.py |
{
"filename": "freeze_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/examples/speech_commands/freeze_test.py",
"type": "Python"
} | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@examples@speech_commands@freeze_test.py@.PATH_END.py |
{
"filename": "simple-neural-network.md",
"repo_name": "jax-ml/jax",
"repo_path": "jax_extracted/jax-main/docs/_tutorials/simple-neural-network.md",
"type": "Markdown"
} | # Example: Writing a simple neural network
<!--* freshness: { reviewed: '2024-05-03' } *-->
```{note}
This is a placeholder for a section in the new {ref}`jax-tutorials-draft`.
```
| jax-mlREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@docs@_tutorials@simple-neural-network.md@.PATH_END.py |
{
"filename": "needlets.py",
"repo_name": "javicarron/mtneedlet",
"repo_path": "mtneedlet_extracted/mtneedlet-master/mtneedlet/needlets.py",
"type": "Python"
} |
import healpy as hp
import numpy as np
import matplotlib.pyplot as plt
import scipy.integrate as integrate
def plot_bl(bl,newfigure=True,label=None):
'''Plot the needlet filter b(l) in multipole space.
Parameters
----------
bl : np.ndarray
A numpy array containing the values of a needlet... | javicarronREPO_NAMEmtneedletPATH_START.@mtneedlet_extracted@mtneedlet-master@mtneedlet@needlets.py@.PATH_END.py |
{
"filename": "AUTHORS.md",
"repo_name": "joshspeagle/dynesty",
"repo_path": "dynesty_extracted/dynesty-master/AUTHORS.md",
"type": "Markdown"
} | Authors:
- [Josh Speagle](https://github.com/joshspeagle)
- [Sergey Koposov](https://github.com/segasai)
Contributors:
- [Kyle Barbary](https://github.com/kbarbary/)
- [Johannes Buchner](https://github.com/JohannesBuchner)
- [Ben Cook](https://github.com/bacook17)
- [James Guillochon](https://github.com/guillochon)
... | joshspeagleREPO_NAMEdynestyPATH_START.@dynesty_extracted@dynesty-master@AUTHORS.md@.PATH_END.py |
{
"filename": "c-plus-plus-api_dynamic-c-pluplus-wrapper.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/concepts/c-plus-plus-api_dynamic-c-pluplus-wrapper.md",
"type": "Markdown"
} | # Evaluation library
This is the fastest way to evaluate a model. The library provides a [C API](#c-api) and a simple [C++ wrapper API](#c-plus-plus-wrapper). The C API interface can be accessed from any programming language.
## Download
Prebuilt shared library artifacts are available.
{% include [reusage-cli-relea... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@concepts@c-plus-plus-api_dynamic-c-pluplus-wrapper.md@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "veragluscevic/dmdd",
"repo_path": "dmdd_extracted/dmdd-master/dmdd/tests/__init__.py",
"type": "Python"
} | veragluscevicREPO_NAMEdmddPATH_START.@dmdd_extracted@dmdd-master@dmdd@tests@__init__.py@.PATH_END.py | |
{
"filename": "_tickformat.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/cone/colorbar/_tickformat.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="tickformat", parent_name="cone.colorbar", **kwargs):
super(TickformatValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@cone@colorbar@_tickformat.py@.PATH_END.py |
{
"filename": "pcaproj_dscovr.py",
"repo_name": "HajimeKawahara/sot",
"repo_path": "sot_extracted/sot-master/src/sot/nmfmap/pcaproj_dscovr.py",
"type": "Python"
} | #
# PCA projection DISCOVR (in Kawahara 2020)
#
import io_surface_type
import io_refdata
import toymap
import matplotlib.pyplot as plt
import numpy as np
import healpy as hp
import matplotlib
from sklearn.decomposition import PCA
import sklearn.linear_model as lm
import plotmap as pm
import read_data
def tik(lcall,W)... | HajimeKawaharaREPO_NAMEsotPATH_START.@sot_extracted@sot-master@src@sot@nmfmap@pcaproj_dscovr.py@.PATH_END.py |
{
"filename": "energies_co2.py",
"repo_name": "radis/radis",
"repo_path": "radis_extracted/radis-master/radis/levels/energies_co2.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""Functions specific to the calculation of CO2 energy levels.
Notes
-----
@dev: you can define Python functions here, with hardcoded spectroscopic coefficients.
Or, you can use the spectroscopic coefficients given in ``radis/db/CO2`` under
JSON format.
In both cases, you will need to overwri... | radisREPO_NAMEradisPATH_START.@radis_extracted@radis-master@radis@levels@energies_co2.py@.PATH_END.py |
{
"filename": "test_astro.py",
"repo_name": "sherpa/sherpa",
"repo_path": "sherpa_extracted/sherpa-main/sherpa/astro/tests/test_astro.py",
"type": "Python"
} | #
# Copyright (C) 2007, 2015 - 2021, 2023, 2024
# Smithsonian Astrophysical Observatory
#
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your o... | sherpaREPO_NAMEsherpaPATH_START.@sherpa_extracted@sherpa-main@sherpa@astro@tests@test_astro.py@.PATH_END.py |
{
"filename": "test_msa_open.py",
"repo_name": "spacetelescope/jwst",
"repo_path": "jwst_extracted/jwst-main/jwst/msaflagopen/tests/test_msa_open.py",
"type": "Python"
} | import numpy as np
from numpy.testing import assert_array_equal
import os
from stdatamodels.jwst.datamodels import ImageModel, dqflags
from stdatamodels.jwst.transforms.models import Slit
from jwst.assign_wcs import AssignWcsStep
from jwst.msaflagopen.msaflag_open import (
boundingbox_to_indices,
create_slitl... | spacetelescopeREPO_NAMEjwstPATH_START.@jwst_extracted@jwst-main@jwst@msaflagopen@tests@test_msa_open.py@.PATH_END.py |
{
"filename": "MultiAnisotropyMaps.ipynb",
"repo_name": "oliverphilcox/HADES",
"repo_path": "HADES_extracted/HADES-master/hades/MultiAnisotropyMaps.ipynb",
"type": "Jupyter Notebook"
} | ```python
from hades import PowerMap
```
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-2-f423a9d9fd9c> in <module>()
----> 1 from hades import PowerMap
ImportError: No m... | oliverphilcoxREPO_NAMEHADESPATH_START.@HADES_extracted@HADES-master@hades@MultiAnisotropyMaps.ipynb@.PATH_END.py |
{
"filename": "cl_ST.ipynb",
"repo_name": "mcataneo/mochi_class_public",
"repo_path": "mochi_class_public_extracted/mochi_class_public-main/notebooks/cl_ST.ipynb",
"type": "Jupyter Notebook"
} | ```python
# import necessary modules
from classy import Class
from math import pi
```
```python
#####################################################
#
# Cosmological parameters and other CLASS parameters
#
#####################################################
common_settings = {# LambdaCDM parameters
... | mcataneoREPO_NAMEmochi_class_publicPATH_START.@mochi_class_public_extracted@mochi_class_public-main@notebooks@cl_ST.ipynb@.PATH_END.py |
{
"filename": "test_compressed.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/io/fits/hdu/compressed/tests/test_compressed.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see PYFITS.rst
import io
import math
import os
import pickle
import re
import time
from io import BytesIO
from itertools import product
import numpy as np
import pytest
from hypothesis import given
from hypothesis.extra.numpy import basic_indices
from numpy.testing impo... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@io@fits@hdu@compressed@tests@test_compressed.py@.PATH_END.py |
{
"filename": "test_params.py",
"repo_name": "dtamayo/reboundx",
"repo_path": "reboundx_extracted/reboundx-main/reboundx/test/test_params.py",
"type": "Python"
} | import rebound
import reboundx
from reboundx import data
import unittest
import math
import numpy as np
from ctypes import c_uint, c_uint8, c_uint32, c_uint64
def mycomp(obj1, obj2):
if type(obj1) != type(obj2):
return False
for attr in [attr for attr in dir(obj1) if not attr.startswith('_')]:
... | dtamayoREPO_NAMEreboundxPATH_START.@reboundx_extracted@reboundx-main@reboundx@test@test_params.py@.PATH_END.py |
{
"filename": "gridconfig.py",
"repo_name": "ggalloni/cobaya",
"repo_path": "cobaya_extracted/cobaya-master/cobaya/grid_tools/gridconfig.py",
"type": "Python"
} | """
.. module:: cobaya.grid_tools.gridconfig
:Synopsis: Grid creator (Cobaya version)
:Author: Antony Lewis and Jesus Torrado
(based on Antony Lewis' CosmoMC version of the same code)
"""
# Global
import os
import argparse
import importlib.util
from itertools import chain
from getdist.inifile import IniFile... | ggalloniREPO_NAMEcobayaPATH_START.@cobaya_extracted@cobaya-master@cobaya@grid_tools@gridconfig.py@.PATH_END.py |
{
"filename": "bageldb.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/vectorstores/bageldb.py",
"type": "Python"
} | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.vectorstores import Bagel
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
DEPRECATED_... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@vectorstores@bageldb.py@.PATH_END.py |
{
"filename": "_size.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatter3d/marker/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="scatter3d.marker.colorbar.title.font",
**kwargs,
):
super(SizeValidator, self).__init__(
plotly_name=p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatter3d@marker@colorbar@title@font@_size.py@.PATH_END.py |
{
"filename": "nessai.py",
"repo_name": "gwastro/pycbc",
"repo_path": "pycbc_extracted/pycbc-master/pycbc/inference/io/nessai.py",
"type": "Python"
} | """Provides IO for the nessai sampler"""
import numpy
from .base_nested_sampler import BaseNestedSamplerFile
from .posterior import read_raw_samples_from_file
from .dynesty import CommonNestedMetadataIO
class NessaiFile(CommonNestedMetadataIO, BaseNestedSamplerFile):
"""Class to handle file IO for the ``nessai`... | gwastroREPO_NAMEpycbcPATH_START.@pycbc_extracted@pycbc-master@pycbc@inference@io@nessai.py@.PATH_END.py |
{
"filename": "Jpeg2KImagePlugin.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pillow/py2/PIL/Jpeg2KImagePlugin.py",
"type": "Python"
} | #
# The Python Imaging Library
# $Id$
#
# JPEG2000 file handling
#
# History:
# 2014-03-12 ajh Created
#
# Copyright (c) 2014 Coriolis Systems Limited
# Copyright (c) 2014 Alastair Houghton
#
# See the README file for information on usage and redistribution.
#
import io
import os
import struct
from . import Image, Im... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pillow@py2@PIL@Jpeg2KImagePlugin.py@.PATH_END.py |
{
"filename": "starlets.py",
"repo_name": "lenstronomy/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/lenstronomy/LightModel/Profiles/starlets.py",
"type": "Python"
} | __author__ = "aymgal"
import numpy as np
import warnings
from lenstronomy.LightModel.Profiles import starlets_util
from lenstronomy.LightModel.Profiles.interpolation import Interpol
from lenstronomy.Util import util
__all__ = ["SLIT_Starlets"]
class SLIT_Starlets(object):
"""Decomposition of an image using the... | lenstronomyREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@lenstronomy@LightModel@Profiles@starlets.py@.PATH_END.py |
{
"filename": "_colorsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/table/header/line/_colorsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="colorsrc", parent_name="table.header.line", **kwargs
):
super(ColorsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@table@header@line@_colorsrc.py@.PATH_END.py |
{
"filename": "_marker.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/scattercarpet/_marker.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Marker(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "scattercarpet"
_path_str = "scattercarpet.marker"
_valid_props = {
"autocolorscale",... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@scattercarpet@_marker.py@.PATH_END.py |
{
"filename": "imbalanced-datasets-description.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/_includes/work_src/reusage/imbalanced-datasets-description.md",
"type": "Markdown"
} |
For imbalanced datasets with binary classification the weight multiplier can be set to 1 for class 0 and to $\left(\frac{sum\_negative}{sum\_positive}\right)$ for class 1.
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@_includes@work_src@reusage@imbalanced-datasets-description.md@.PATH_END.py |
{
"filename": "_color.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/treemap/pathbar/textfont/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="treemap.pathbar.textfont", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@treemap@pathbar@textfont@_color.py@.PATH_END.py |
{
"filename": "SYGMA_BUGS.ipynb",
"repo_name": "NuGrid/NuPyCEE",
"repo_path": "NuPyCEE_extracted/NuPyCEE-master/regression_tests/temp/SYGMA_BUGS.ipynb",
"type": "Jupyter Notebook"
} | # BUG report
To keep track of bugs we report them here so that they can be reproduced easily. Additionally, as soon as they are fixed they should disappear in this notebook. To each bug report add time and your name. Add new bugs at the end of the file.
```python
%pylab nbagg
import sygma as s
reload(s)
s.__file__
`... | NuGridREPO_NAMENuPyCEEPATH_START.@NuPyCEE_extracted@NuPyCEE-master@regression_tests@temp@SYGMA_BUGS.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "triton-inference-server/server",
"repo_path": "server_extracted/server-main/python/openai/openai_frontend/frontend/__init__.py",
"type": "Python"
} | # Copyright (c) 2024, NVIDIA CORPORATION. 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
# notice, this list of conditions a... | triton-inference-serverREPO_NAMEserverPATH_START.@server_extracted@server-main@python@openai@openai_frontend@frontend@__init__.py@.PATH_END.py |
{
"filename": "_tickfont.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/carpet/baxis/_tickfont.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Tickfont(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "carpet.baxis"
_path_str = "carpet.baxis.tickfont"
_valid_props = {"color", "family", "size... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@carpet@baxis@_tickfont.py@.PATH_END.py |
{
"filename": "plot_opacity.py",
"repo_name": "dullemond/radmc3d-2.0",
"repo_path": "radmc3d-2.0_extracted/radmc3d-2.0-master/examples/run_ppdisk_analytic_1/plot_opacity.py",
"type": "Python"
} | import numpy as np
from matplotlib import pyplot as plt
from radmc3dPy.analyze import *
from radmc3dPy.natconst import *
#
# Plot the opacity table
#
o = readOpac(ext='silicate')
plt.figure()
plt.loglog(o.wav[0],o.kabs[0],label=r'$\kappa_\nu^{\mathrm{abs}}$ (absorption)')
plt.loglog(o.wav[0],o.ksca[0],':',label=r'$... | dullemondREPO_NAMEradmc3d-2.0PATH_START.@radmc3d-2.0_extracted@radmc3d-2.0-master@examples@run_ppdisk_analytic_1@plot_opacity.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "njcuk9999/apero-drs",
"repo_path": "apero-drs_extracted/apero-drs-main/data_example/raw/README.md",
"type": "Markdown"
} | # Raw data folder
Raw file should be placed here within a sub-folder consisting of (at least) the date of observation.
i.e.
- /data/raw/
- /data/raw/20180925/
- /data/raw/20180925/raw_fits_file1.fits
- /data/raw/20180925/raw_fits_file2.fits
- /data/raw/20180925/raw_fits_file3.fits
These paths can be changed in ``... | njcuk9999REPO_NAMEapero-drsPATH_START.@apero-drs_extracted@apero-drs-main@data_example@raw@README.md@.PATH_END.py |
{
"filename": "ffs_ninv_filt.py",
"repo_name": "carronj/LensIt",
"repo_path": "LensIt_extracted/LensIt-master/lensit/qcinv/ffs_ninv_filt.py",
"type": "Python"
} | from __future__ import print_function
import numpy as np
from lensit.qcinv import template_removal
from lensit.ffs_deflect import ffs_deflect
from lensit.misc.misc_utils import cls_hash, npy_hash
from lensit.ffs_covs import ffs_specmat, ell_mat
from lensit.misc.rfft2_utils import degrade_mask
load_map = lambda _map:... | carronjREPO_NAMELensItPATH_START.@LensIt_extracted@LensIt-master@lensit@qcinv@ffs_ninv_filt.py@.PATH_END.py |
{
"filename": "test.py",
"repo_name": "atomec-project/atoMEC",
"repo_path": "atoMEC_extracted/atoMEC-master/tests/dev_tests/test.py",
"type": "Python"
} | """Test template file for atoMEC."""
from atoMEC import Atom, models, config, mathtools, unitconv
from atoMEC.postprocess import pressure
import json
import time
st_time = time.time()
config.numcores = -1
# load input params and set up the atom and model objects
with open("input.json", "r") as f:
input = json.l... | atomec-projectREPO_NAMEatoMECPATH_START.@atoMEC_extracted@atoMEC-master@tests@dev_tests@test.py@.PATH_END.py |
{
"filename": "test_helper.py",
"repo_name": "rmjarvis/TreeCorr",
"repo_path": "TreeCorr_extracted/TreeCorr-main/tests/test_helper.py",
"type": "Python"
} | # Copyright (c) 2003-2024 by Mike Jarvis
#
# TreeCorr is free software: redistribution and use in source and binary forms,
# with or without modification, are permitted provided that the following
# conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this
# list of condi... | rmjarvisREPO_NAMETreeCorrPATH_START.@TreeCorr_extracted@TreeCorr-main@tests@test_helper.py@.PATH_END.py |
{
"filename": "kepler.py",
"repo_name": "sblunt/orbitize",
"repo_path": "orbitize_extracted/orbitize-main/orbitize/kepler.py",
"type": "Python"
} | """
This module solves for the orbit of the planet given Keplerian parameters.
"""
import numpy as np
import astropy.units as u
import astropy.constants as consts
from orbitize import cuda_ext, cext
if cext:
from . import _kepler
if cuda_ext:
# Configure GPU context for CUDA accelerated compute
from orbi... | sbluntREPO_NAMEorbitizePATH_START.@orbitize_extracted@orbitize-main@orbitize@kepler.py@.PATH_END.py |
{
"filename": "modified_power_spectrum_multipoles.ipynb",
"repo_name": "MikeSWang/HorizonGRound",
"repo_path": "HorizonGRound_extracted/HorizonGRound-master/docs/source/tutorials/modified_power_spectrum_multipoles.ipynb",
"type": "Jupyter Notebook"
} | # Modified Power Spectrum Multipoles
In this tutorial, we show how you can calculate the power spectrum multipole modifications due to primordial non-Gaussianity (PNG) $f_\textrm{NL}$ and relativistic effects the ``clustering_modification`` module. The fiducial cosmology is Planck15, and we set the fiducial redshift $... | MikeSWangREPO_NAMEHorizonGRoundPATH_START.@HorizonGRound_extracted@HorizonGRound-master@docs@source@tutorials@modified_power_spectrum_multipoles.ipynb@.PATH_END.py |
{
"filename": "test_utils.py",
"repo_name": "PetroFit/petrofit",
"repo_path": "petrofit_extracted/petrofit-main/petrofit/tests/test_utils.py",
"type": "Python"
} | import os
import numpy as np
import pytest
from scipy.interpolate import interp1d
from astropy.io import fits
from astropy.wcs import WCS
from astropy import units as u
import petrofit as pf
def test_natural_sort():
test_list = ["item10", "item2", "item1a", "item1b", "item"]
sorted_list = pf.natural_sort(... | PetroFitREPO_NAMEpetrofitPATH_START.@petrofit_extracted@petrofit-main@petrofit@tests@test_utils.py@.PATH_END.py |
{
"filename": "v4-migration.md",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/doc/python/v4-migration.md",
"type": "Markdown"
} | ---
jupyter:
jupytext:
notebook_metadata_filter: all
text_representation:
extension: .md
format_name: markdown
format_version: '1.1'
jupytext_version: 1.1.1
kernelspec:
display_name: Python 3
language: python
name: python3
language_info:
codemirror_mode:
name:... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@doc@python@v4-migration.md@.PATH_END.py |
{
"filename": "fit.py",
"repo_name": "IvS-KULeuven/IvSPythonRepository",
"repo_path": "IvSPythonRepository_extracted/IvSPythonRepository-master/sed/fit.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Fit SED models to observed data using various approaches.
"""
import logging
import sys
import astropy.io.fits as pf
import itertools
import re
import copy
import numpy as np
from numpy import inf
import scipy
from scipy.interpolate import Rbf
from scipy.optimize import fmin,fmin_powell
fro... | IvS-KULeuvenREPO_NAMEIvSPythonRepositoryPATH_START.@IvSPythonRepository_extracted@IvSPythonRepository-master@sed@fit.py@.PATH_END.py |
{
"filename": "_lightposition.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/cone/_lightposition.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Lightposition(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "cone"
_path_str = "cone.lightposition"
_valid_props = {"x", "y", "z"}
# x
# ... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@cone@_lightposition.py@.PATH_END.py |
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