metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "_variant.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/polar/radialaxis/tickfont/_variant.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VariantValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="variant",
parent_name="layout.polar.radialaxis.tickfont",
**kwargs,
):
super(VariantValidator, self).__init__(
plot... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@polar@radialaxis@tickfont@_variant.py@.PATH_END.py |
{
"filename": "eigfunc_handler.py",
"repo_name": "n-claes/legolas",
"repo_path": "legolas_extracted/legolas-master/post_processing/pylbo/visualisation/eigenfunctions/eigfunc_handler.py",
"type": "Python"
} | import numpy as np
from pylbo.data_containers import LegolasDataSet
from pylbo.exceptions import EigenfunctionsNotPresent
from pylbo.utilities.toolbox import transform_to_numpy
from pylbo.visualisation.eigenfunctions.eigfunc_interface import EigenfunctionInterface
from pylbo.visualisation.utils import ef_name_to_latex
... | n-claesREPO_NAMElegolasPATH_START.@legolas_extracted@legolas-master@post_processing@pylbo@visualisation@eigenfunctions@eigfunc_handler.py@.PATH_END.py |
{
"filename": "test_runner.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/tests/tests/test_runner.py",
"type": "Python"
} | import pytest
# Renamed these imports so that them being in the namespace will not
# cause pytest 3 to discover them as tests and then complain that
# they have __init__ defined.
from astropy.tests.runner import TestRunner as _TestRunner
from astropy.tests.runner import TestRunnerBase as _TestRunnerBase
from astropy.t... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@tests@tests@test_runner.py@.PATH_END.py |
{
"filename": "test_truncated_svd.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/sklearn/decomposition/tests/test_truncated_svd.py",
"type": "Python"
} | """Test truncated SVD transformer."""
import numpy as np
import pytest
import scipy.sparse as sp
from sklearn.decomposition import PCA, TruncatedSVD
from sklearn.utils import check_random_state
from sklearn.utils._testing import assert_allclose, assert_array_less
SVD_SOLVERS = ["arpack", "randomized"]
@pytest.fixt... | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@sklearn@decomposition@tests@test_truncated_svd.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/src/prefect/input/__init__.py",
"type": "Python"
} | from .actions import (
create_flow_run_input,
create_flow_run_input_from_model,
delete_flow_run_input,
filter_flow_run_input,
read_flow_run_input,
)
from .run_input import (
GetInputHandler,
Keyset,
RunInput,
RunInputMetadata,
keyset_from_base_key,
keyset_from_paused_state,
... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@src@prefect@input@__init__.py@.PATH_END.py |
{
"filename": "comal.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pygments/py3/pygments/lexers/comal.py",
"type": "Python"
} | """
pygments.lexers.comal
~~~~~~~~~~~~~~~~~~~~~
Lexer for COMAL-80.
:copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
import re
from pygments.lexer import RegexLexer, words
from pygments.token import Comment, Whitespace, Operator, Keyw... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pygments@py3@pygments@lexers@comal.py@.PATH_END.py |
{
"filename": "interp_utils.py",
"repo_name": "dylancromer/maszcal",
"repo_path": "maszcal_extracted/maszcal-main/maszcal/interp_utils.py",
"type": "Python"
} | import numpy as np
def cartesian_prod(*arrays):
la = len(arrays)
dtype = np.result_type(*arrays)
arr = np.empty([la] + [len(a) for a in arrays], dtype=dtype)
for i, a in enumerate(np.ix_(*arrays)):
arr[i, ...] = a
return arr.reshape(la, -1).T
def combine_radii_with_params(rs, params):
... | dylancromerREPO_NAMEmaszcalPATH_START.@maszcal_extracted@maszcal-main@maszcal@interp_utils.py@.PATH_END.py |
{
"filename": "miri_wd.py",
"repo_name": "kevin218/MEOW",
"repo_path": "MEOW_extracted/MEOW-main/src/meow/miri_wd.py",
"type": "Python"
} | #
# Astropy tools
#
from astropy.coordinates import match_coordinates_sky, SkyCoord
from astropy.io import fits, ascii
from astropy.stats import SigmaClip, sigma_clipped_stats
from astropy.table import Table, Column, vstack
import astropy.units as u
from astropy.visualization import LogStretch, LinearStretch, Percentil... | kevin218REPO_NAMEMEOWPATH_START.@MEOW_extracted@MEOW-main@src@meow@miri_wd.py@.PATH_END.py |
{
"filename": "interface.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/src/amuse/community/brutus/interface.py",
"type": "Python"
} | from amuse.community import *
from amuse.community.interface.gd import GravitationalDynamicsInterface, GravitationalDynamics
try:
import mpmath
HAS_MPMATH=True
except ImportError:
HAS_MPMATH=False
"""
currently setting the particle (and possibly model time) as strings (ie to conserve
precision) is not ye... | amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@src@amuse@community@brutus@interface.py@.PATH_END.py |
{
"filename": "contamination_and_visibility_demo.ipynb",
"repo_name": "ExoCTK/exoctk",
"repo_path": "exoctk_extracted/exoctk-main/exoctk/notebooks/contamination_and_visibility_demo.ipynb",
"type": "Jupyter Notebook"
} | # ExoCTK Contamination and Visibility Tool Demo
This notebook contains general instructions on how to run the Contamination and Visibility Tool as well as some validation tests with on-sky data. The Web application for this tool can also be found at https://exoctk.stsci.edu/contam_visibility.
```python
# Imports
from... | ExoCTKREPO_NAMEexoctkPATH_START.@exoctk_extracted@exoctk-main@exoctk@notebooks@contamination_and_visibility_demo.ipynb@.PATH_END.py |
{
"filename": "optimize.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/cosmology/funcs/optimize.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""Convenience functions for `astropy.cosmology`."""
import warnings
import numpy as np
from astropy.cosmology import units as cu
from astropy.cosmology.core import CosmologyError
from astropy.units import Quantity
from astropy.utils.exceptions import A... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@cosmology@funcs@optimize.py@.PATH_END.py |
{
"filename": "find_SVR_params.py",
"repo_name": "LSSTDESC/chroma",
"repo_path": "chroma_extracted/chroma-master/bin/analytic/catalog/find_SVR_params.py",
"type": "Python"
} | import cPickle
from argparse import ArgumentParser
import numpy as np
import regressor
def ML(train_objs, test_objs, predict_var=None, predict_band=None,
use_color=False, use_mag=False, C=None, gamma=None, epsilon=None):
if C is None:
C = 100
if gamma is None:
gamma = 0.1
if epsil... | LSSTDESCREPO_NAMEchromaPATH_START.@chroma_extracted@chroma-master@bin@analytic@catalog@find_SVR_params.py@.PATH_END.py |
{
"filename": "python-reference_sample_gaussian_process.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/concepts/python-reference_sample_gaussian_process.md",
"type": "Markdown"
} | # sample_gaussian_process
## {{ dl--purpose }} {#purpose}
Implementation of Gaussian process sampling (Kernel Gradient Boosting/Algorithm 4) from ["Gradient Boosting Performs Gaussian Process Inference"](https://arxiv.org/abs/2206.05608) paper.
Produces samples from posterior GP with prior assumption $f \sim \mathca... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@concepts@python-reference_sample_gaussian_process.md@.PATH_END.py |
{
"filename": "_marker.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattergl/_marker.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="marker", parent_name="scattergl", **kwargs):
super(MarkerValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattergl@_marker.py@.PATH_END.py |
{
"filename": "kernel.py",
"repo_name": "spacetelescope/specview",
"repo_path": "specview_extracted/specview-master/specview/ui/ipython/kernel.py",
"type": "Python"
} | """Start an IPython kernel"""
from IPython import get_ipython
from IPython.qt.client import QtKernelClient
from IPython.qt.inprocess import QtInProcessKernelManager
from IPython.kernel.connect import get_connection_file
from IPython.kernel.inprocess.ipkernel import InProcessInteractiveShell
def ipython_kernel_start(*... | spacetelescopeREPO_NAMEspecviewPATH_START.@specview_extracted@specview-master@specview@ui@ipython@kernel.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "astropy/halotools",
"repo_path": "halotools_extracted/halotools-master/halotools/mock_observables/void_statistics/tests/__init__.py",
"type": "Python"
} | astropyREPO_NAMEhalotoolsPATH_START.@halotools_extracted@halotools-master@halotools@mock_observables@void_statistics@tests@__init__.py@.PATH_END.py | |
{
"filename": "layers.py",
"repo_name": "vaexio/vaex",
"repo_path": "vaex_extracted/vaex-master/packages/vaex-ui/vaex/ui/layers.py",
"type": "Python"
} | import collections
import operator
import vaex.vaexfast
import threading
import matplotlib
import numpy as np
import scipy.ndimage
import matplotlib.colors
import traceback
import vaex
import vaex.delayed
import vaex.ui.storage
import vaex.ui.undo
import vaex.ui.colormaps
import vaex.grids
from vaex.ui.icons import ic... | vaexioREPO_NAMEvaexPATH_START.@vaex_extracted@vaex-master@packages@vaex-ui@vaex@ui@layers.py@.PATH_END.py |
{
"filename": "_stream.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/violin/_stream.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Stream(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "violin"
_path_str = "violin.stream"
_valid_props = {"maxpoints", "token"}
# maxpoints
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@violin@_stream.py@.PATH_END.py |
{
"filename": "test_class.py",
"repo_name": "nbellomo/Multi_CLASS",
"repo_path": "Multi_CLASS_extracted/Multi_CLASS-master/python/test_class.py",
"type": "Python"
} | """
.. module:: test_class
:synopsis: python script for testing CLASS using nose
.. moduleauthor:: Benjamin Audren <benjamin.audren@gmail.com>
.. credits:: Benjamin Audren, Thomas Tram
.. version:: 1.0
This is a python script for testing CLASS and its wrapper Classy using nose.
To run the test suite, type
nosetest... | nbellomoREPO_NAMEMulti_CLASSPATH_START.@Multi_CLASS_extracted@Multi_CLASS-master@python@test_class.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "yt-project/yt",
"repo_path": "yt_extracted/yt-main/yt/frontends/parthenon/tests/__init__.py",
"type": "Python"
} | yt-projectREPO_NAMEytPATH_START.@yt_extracted@yt-main@yt@frontends@parthenon@tests@__init__.py@.PATH_END.py | |
{
"filename": "ttFont.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/fonttools/fontTools/ttLib/ttFont.py",
"type": "Python"
} | from fontTools.config import Config
from fontTools.misc import xmlWriter
from fontTools.misc.configTools import AbstractConfig
from fontTools.misc.textTools import Tag, byteord, tostr
from fontTools.misc.loggingTools import deprecateArgument
from fontTools.ttLib import TTLibError
from fontTools.ttLib.ttGlyphSet import ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@fonttools@fontTools@ttLib@ttFont.py@.PATH_END.py |
{
"filename": "lens_image_future.py",
"repo_name": "Herculens/herculens",
"repo_path": "herculens_extracted/herculens-main/herculens/LensImage/lens_image_future.py",
"type": "Python"
} | # Defines the model of a strong lens
#
# Copyright (c) 2023, herculens developers and contributors
# Copyright (c) 2018, Simon Birrer & lenstronomy contributors
# based on the ImSim module from lenstronomy (version 1.9.3)
__author__ = 'sibirrer', 'austinpeel', 'aymgal'
import copy
import numpy as np
import jax.numpy ... | HerculensREPO_NAMEherculensPATH_START.@herculens_extracted@herculens-main@herculens@LensImage@lens_image_future.py@.PATH_END.py |
{
"filename": "CSFR_delay--plot.py",
"repo_name": "DebduttaPaul/luminosity_function_of_sGRBs",
"repo_path": "luminosity_function_of_sGRBs_extracted/luminosity_function_of_sGRBs-master/CSFR_delay--plot.py",
"type": "Python"
} | from __future__ import division
from astropy.io import ascii
from astropy.table import Table
from scipy.optimize import curve_fit
from scipy.integrate import quad, simps
from scipy import interpolate
import debduttaS_functions as mf
import specific_functions as sf
import time
import numpy as np
import matplotlib.pyplot... | DebduttaPaulREPO_NAMEluminosity_function_of_sGRBsPATH_START.@luminosity_function_of_sGRBs_extracted@luminosity_function_of_sGRBs-master@CSFR_delay--plot.py@.PATH_END.py |
{
"filename": "datamodel.py",
"repo_name": "spacepy/spacepy",
"repo_path": "spacepy_extracted/spacepy-main/spacepy/datamodel.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Data model conceptually similar to HDF5 and CDF.
For more documentation :doc:`../datamodel`
Authors: Steve Morley and Brian Larsen
Additional Contributors: Charles Kiyanda and Miles Engel
Institution: Los Alamos National Laboratory
Contact: smorley@lanl.gov; balars... | spacepyREPO_NAMEspacepyPATH_START.@spacepy_extracted@spacepy-main@spacepy@datamodel.py@.PATH_END.py |
{
"filename": "postgresql.py",
"repo_name": "crossbario/crossbar",
"repo_path": "crossbar_extracted/crossbar-master/crossbar/edge/worker/postgresql.py",
"type": "Python"
} | ##############################################################################
#
# Crossbar.io
# Copyright (C) Crossbar.io Technologies GmbH. All rights reserved.
#
##############################################################################
import datetime
from collections.abc import Mapp... | crossbarioREPO_NAMEcrossbarPATH_START.@crossbar_extracted@crossbar-master@crossbar@edge@worker@postgresql.py@.PATH_END.py |
{
"filename": "quaternionx.py",
"repo_name": "ExoCTK/exoctk",
"repo_path": "exoctk_extracted/exoctk-main/exoctk/contam_visibility/quaternionx.py",
"type": "Python"
} | # ! /usr/bin/env python
# quaternion module
"""Version 4 September 9, 2010 WMK
Flipped sign of the angle in the QX, QY, QZ, QJX, QJY, QJZ, set_values,
set_as_QX, ... functions to be consistent with the corrected
multiplication. Also updated the doc strings.
Version 3 September 8, 2010 RLH
Backed out change to cnvrt in... | ExoCTKREPO_NAMEexoctkPATH_START.@exoctk_extracted@exoctk-main@exoctk@contam_visibility@quaternionx.py@.PATH_END.py |
{
"filename": "tutorial.ipynb",
"repo_name": "0satoken/Eclairs",
"repo_path": "Eclairs_extracted/Eclairs-main/notebooks/tutorial.ipynb",
"type": "Jupyter Notebook"
} | # Tutorial
In this notebook, I review basic usage of our python wrapper.
## Compile python wrapper
First of all, you need to install the python wrapper `pyecl`.
`Eclairs` needs C++ compiler, GSL, and Boost library.
Please make sure that yout Boost library has numpy extension since older versions of Boost do not incl... | 0satokenREPO_NAMEEclairsPATH_START.@Eclairs_extracted@Eclairs-main@notebooks@tutorial.ipynb@.PATH_END.py |
{
"filename": "tfsa-2022-037.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/security/advisory/tfsa-2022-037.md",
"type": "Markdown"
} | ## TFSA-2022-037: Unitialized variable access in `AssignOp`
### CVE Number
CVE-2022-23573
### Impact
The [implementation of `AssignOp`](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/kernels/assign_op.h#L30-L143) can result in copying unitialized data to a new t... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@security@advisory@tfsa-2022-037.md@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/funnel/legendgrouptitle/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._text import TextValidator
from ._font import FontValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._text.TextVal... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@funnel@legendgrouptitle@__init__.py@.PATH_END.py |
{
"filename": "relora.py",
"repo_name": "OpenAccess-AI-Collective/axolotl",
"repo_path": "axolotl_extracted/axolotl-main/src/axolotl/monkeypatch/relora.py",
"type": "Python"
} | """Implements the ReLoRA training procedure from https://arxiv.org/abs/2307.05695, minus the initial full fine-tune."""
import glob
import json
import logging
import os.path
import shutil
from functools import partial
from pathlib import Path
from typing import Dict, List, Sequence, Union
import bitsandbytes as bnb
im... | OpenAccess-AI-CollectiveREPO_NAMEaxolotlPATH_START.@axolotl_extracted@axolotl-main@src@axolotl@monkeypatch@relora.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/scatterternary/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._hoverlabel import Hoverlabel
from ._legendgrouptitle import Legendgrouptitle
from ._line import Line
from ._marker import Marker
from ._selected import Selected
from ._stream import Stream
from... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@scatterternary@__init__.py@.PATH_END.py |
{
"filename": "Custom fitting example.ipynb",
"repo_name": "PyEllips/pyElli",
"repo_path": "pyElli_extracted/pyElli-master/examples/Custom fitting/Custom fitting example.ipynb",
"type": "Jupyter Notebook"
} | # Custom fitting example
This is a short example for fitting data, which is not covered by the fitting widget.
It relies on calling lmfit manually. Therefore one needs to provide a fitting function, which calculates the numerical residual between measurement and model.
This notebook is about fitting multiple datasets ... | PyEllipsREPO_NAMEpyElliPATH_START.@pyElli_extracted@pyElli-master@examples@Custom fitting@Custom fitting example.ipynb@.PATH_END.py |
{
"filename": "_showticksuffix.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatter/marker/colorbar/_showticksuffix.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="showticksuffix",
parent_name="scatter.marker.colorbar",
**kwargs,
):
super(ShowticksuffixValidator, self).__init__(
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatter@marker@colorbar@_showticksuffix.py@.PATH_END.py |
{
"filename": "question2_entropy_reg.py",
"repo_name": "freelunchtheorem/Conditional_Density_Estimation",
"repo_path": "Conditional_Density_Estimation_extracted/Conditional_Density_Estimation-master/cde/evaluation/simulation_eval/question2_entropy_reg.py",
"type": "Python"
} | import matplotlib as mpl
mpl.use("PS") #handles X11 server detection (required to run on console)
import numpy as np
from cde.model_fitting.GoodnessOfFitResults import GoodnessOfFitResults
from cde.evaluation.simulation_eval import base_experiment
from ml_logger import logger
EXP_PREFIX = 'question2_entropy_reg'
RESUL... | freelunchtheoremREPO_NAMEConditional_Density_EstimationPATH_START.@Conditional_Density_Estimation_extracted@Conditional_Density_Estimation-master@cde@evaluation@simulation_eval@question2_entropy_reg.py@.PATH_END.py |
{
"filename": "screen_plot.py",
"repo_name": "GalSim-developers/GalSim",
"repo_path": "GalSim_extracted/GalSim-main/devel/modules/atmValidate/screen_plot.py",
"type": "Python"
} | # Copyright (c) 2012-2023 by the GalSim developers team on GitHub
# https://github.com/GalSim-developers
#
# This file is part of GalSim: The modular galaxy image simulation toolkit.
# https://github.com/GalSim-developers/GalSim
#
# GalSim is free software: redistribution and use in source and binary forms,
# with or w... | GalSim-developersREPO_NAMEGalSimPATH_START.@GalSim_extracted@GalSim-main@devel@modules@atmValidate@screen_plot.py@.PATH_END.py |
{
"filename": "Tiling_Observations_GBM.ipynb",
"repo_name": "astro-transients/tilepy",
"repo_path": "tilepy_extracted/tilepy-master/examples/launcher/Tiling_Observations_GBM.ipynb",
"type": "Jupyter Notebook"
} | ```python
# Import main packages
from tilepy.include.ObservationScheduler import GetSchedule
from tilepy.include.PointingTools import ObservationParameters, NextWindowTools
import time
import argparse
import os
from pathlib import Path
import datetime
```
/Users/md274436/software/miniforge3/envs/tilepy/lib/python... | astro-transientsREPO_NAMEtilepyPATH_START.@tilepy_extracted@tilepy-master@examples@launcher@Tiling_Observations_GBM.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/scattergl/marker/colorbar/title/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._font import Font
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@scattergl@marker@colorbar@title@__init__.py@.PATH_END.py |
{
"filename": "TestDeviceAndThreads.py",
"repo_name": "kokkos/kokkos",
"repo_path": "kokkos_extracted/kokkos-master/core/unit_test/TestDeviceAndThreads.py",
"type": "Python"
} | #@HEADER
# ************************************************************************
# Kokkos v. 4.0
# Copyright (2022) National Technology & Engineering
# Solutions of Sandia, LLC (NTESS).
# Under the terms of Contract DE-NA0003525 with NTESS,
# the U.S. Government retains c... | kokkosREPO_NAMEkokkosPATH_START.@kokkos_extracted@kokkos-master@core@unit_test@TestDeviceAndThreads.py@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/layout/annotation/_font.py",
"type": "Python"
} | from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
import copy as _copy
class Font(_BaseLayoutHierarchyType):
# class properties
# --------------------
_parent_path_str = "layout.annotation"
_path_str = "layout.annotation.font"
_valid_props = {"color", "family", ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@layout@annotation@_font.py@.PATH_END.py |
{
"filename": "Force.py",
"repo_name": "jobovy/galpy",
"repo_path": "galpy_extracted/galpy-main/galpy/potential/Force.py",
"type": "Python"
} | ###############################################################################
# Force.py: top-level class for a 3D force, conservative (Potential) or
# not (DissipativeForce)
#
###############################################################################
import copy
import numpy
from ..util import c... | jobovyREPO_NAMEgalpyPATH_START.@galpy_extracted@galpy-main@galpy@potential@Force.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/histogram2dcontour/hoverlabel/font/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._weightsrc import WeightsrcValidator
from ._weight import WeightValidator
from ._variantsrc import VariantsrcValidator
from ._variant import VariantValidator
from ._textcasesrc import TextcasesrcValidat... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@histogram2dcontour@hoverlabel@font@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "sbi-dev/sbi",
"repo_path": "sbi_extracted/sbi-main/sbi/neural_nets/embedding_nets/__init__.py",
"type": "Python"
} | from sbi.neural_nets.embedding_nets.cnn import CNNEmbedding
from sbi.neural_nets.embedding_nets.fully_connected import FCEmbedding
from sbi.neural_nets.embedding_nets.permutation_invariant import (
PermutationInvariantEmbedding,
)
| sbi-devREPO_NAMEsbiPATH_START.@sbi_extracted@sbi-main@sbi@neural_nets@embedding_nets@__init__.py@.PATH_END.py |
{
"filename": "_pade.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py3/scipy/interpolate/_pade.py",
"type": "Python"
} | from numpy import zeros, asarray, eye, poly1d, hstack, r_
from scipy import linalg
__all__ = ["pade"]
def pade(an, m, n=None):
"""
Return Pade approximation to a polynomial as the ratio of two polynomials.
Parameters
----------
an : (N,) array_like
Taylor series coefficients.
m : int
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py3@scipy@interpolate@_pade.py@.PATH_END.py |
{
"filename": "backend_qtagg.py",
"repo_name": "matplotlib/matplotlib",
"repo_path": "matplotlib_extracted/matplotlib-main/lib/matplotlib/backends/backend_qtagg.py",
"type": "Python"
} | """
Render to qt from agg.
"""
import ctypes
from matplotlib.transforms import Bbox
from .qt_compat import QT_API, QtCore, QtGui
from .backend_agg import FigureCanvasAgg
from .backend_qt import _BackendQT, FigureCanvasQT
from .backend_qt import ( # noqa: F401 # pylint: disable=W0611
FigureManagerQT, NavigationT... | matplotlibREPO_NAMEmatplotlibPATH_START.@matplotlib_extracted@matplotlib-main@lib@matplotlib@backends@backend_qtagg.py@.PATH_END.py |
{
"filename": "_metasrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattergeo/_metasrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="metasrc", parent_name="scattergeo", **kwargs):
super(MetasrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattergeo@_metasrc.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "mikecokina/elisa",
"repo_path": "elisa_extracted/elisa-master/src/elisa/analytics/__init__.py",
"type": "Python"
} | from elisa.analytics.dataset.base import LCData
from elisa.analytics.dataset.base import RVData
from elisa.analytics.tasks import RVBinaryAnalyticsTask, LCBinaryAnalyticsTask
| mikecokinaREPO_NAMEelisaPATH_START.@elisa_extracted@elisa-master@src@elisa@analytics@__init__.py@.PATH_END.py |
{
"filename": "injections.py",
"repo_name": "nuclear-multimessenger-astronomy/nmma",
"repo_path": "nmma_extracted/nmma-main/nmma/tests/injections.py",
"type": "Python"
} | from argparse import Namespace
import bilby.core
import numpy as np
import json
import os
import shutil
from nmma.em.model import (
SimpleKilonovaLightCurveModel,
SupernovaLightCurveModel,
ShockCoolingLightCurveModel,
GRBLightCurveModel,
SVDLightCurveModel,
)
from ..em import create_lightcurves
fr... | nuclear-multimessenger-astronomyREPO_NAMEnmmaPATH_START.@nmma_extracted@nmma-main@nmma@tests@injections.py@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/icicle/legendgrouptitle/_font.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Font(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "icicle.legendgrouptitle"
_path_str = "icicle.legendgrouptitle.font"
_valid_props = {
"... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@icicle@legendgrouptitle@_font.py@.PATH_END.py |
{
"filename": "Two_Clusters.ipynb",
"repo_name": "jzuhone/soxs",
"repo_path": "soxs_extracted/soxs-main/doc/source/cookbook/Two_Clusters.ipynb",
"type": "Jupyter Notebook"
} | # Two Clusters
Using the SOXS Python interface, this example shows how to generate photons from two thermal spectra and two $\beta$-model spatial distributions, as an approximation of two galaxy clusters.
```python
import matplotlib
matplotlib.rc("font", size=18)
import soxs
```
### Generate Spectral Models
We w... | jzuhoneREPO_NAMEsoxsPATH_START.@soxs_extracted@soxs-main@doc@source@cookbook@Two_Clusters.ipynb@.PATH_END.py |
{
"filename": "classify_with_nn.py",
"repo_name": "vblanka24/Ba_star_classification_PaperIII",
"repo_path": "Ba_star_classification_PaperIII_extracted/Ba_star_classification_PaperIII-main/classify_with_nn.py",
"type": "Python"
} | import numpy as np
import sys, os
import rf_lib as rfl
import matplotlib.pyplot as plt
from tensorflow.keras.utils import plot_model
from ann_visualizer.visualize import ann_viz
import pandas as pd
from classify_lib import *
from silence_tensorflow import silence_tensorflow
silence_tensorflow()
import tensorflow as t... | vblanka24REPO_NAMEBa_star_classification_PaperIIIPATH_START.@Ba_star_classification_PaperIII_extracted@Ba_star_classification_PaperIII-main@classify_with_nn.py@.PATH_END.py |
{
"filename": "_ysrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/histogram/_ysrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="ysrc", parent_name="histogram", **kwargs):
super(YsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_typ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@histogram@_ysrc.py@.PATH_END.py |
{
"filename": "test_overview.py",
"repo_name": "1313e/PRISM",
"repo_path": "PRISM_extracted/PRISM-master/prism/_gui/widgets/tests/test_overview.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# %% IMPORTS
# Built-in imports
import os
from os import path
from sys import platform
# Package imports
import e13tools as e13
from matplotlib.backends.backend_qt5agg import (
FigureCanvasQTAgg as FigureCanvas)
import matplotlib.pyplot as plt
from mpi4pyd import MPI
import pytest
from qtp... | 1313eREPO_NAMEPRISMPATH_START.@PRISM_extracted@PRISM-master@prism@_gui@widgets@tests@test_overview.py@.PATH_END.py |
{
"filename": "tf.py",
"repo_name": "ultralytics/yolov5",
"repo_path": "yolov5_extracted/yolov5-master/models/tf.py",
"type": "Python"
} | # Ultralytics YOLOv5 🚀, AGPL-3.0 license
"""
TensorFlow, Keras and TFLite versions of YOLOv5
Authored by https://github.com/zldrobit in PR https://github.com/ultralytics/yolov5/pull/1127.
Usage:
$ python models/tf.py --weights yolov5s.pt
Export:
$ python export.py --weights yolov5s.pt --include saved_model p... | ultralyticsREPO_NAMEyolov5PATH_START.@yolov5_extracted@yolov5-master@models@tf.py@.PATH_END.py |
{
"filename": "index.md",
"repo_name": "j-faria/kima",
"repo_path": "kima_extracted/kima-master/docs/index.md",
"type": "Markdown"
} | j-fariaREPO_NAMEkimaPATH_START.@kima_extracted@kima-master@docs@index.md@.PATH_END.py | |
{
"filename": "chatglm.py",
"repo_name": "alibaba/TinyNeuralNetwork",
"repo_path": "TinyNeuralNetwork_extracted/TinyNeuralNetwork-main/tinynn/llm_quant/examples/chatglm.py",
"type": "Python"
} | # This script is based on https://github.com/THUDM/ChatGLM-6B
import signal
import os
import torch
from transformers import AutoModel, AutoTokenizer
from tinynn.llm_quant.modules import quant_fc
def basic_usage(model_path='THUDM/chatglm-6b', quant_mod='dynamic'):
model = AutoModel.from_pretrained(model_path, tru... | alibabaREPO_NAMETinyNeuralNetworkPATH_START.@TinyNeuralNetwork_extracted@TinyNeuralNetwork-main@tinynn@llm_quant@examples@chatglm.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "Jashcraf/poke",
"repo_path": "poke_extracted/poke-main/poke/__init__.py",
"type": "Python"
} | """poke base file""" | JashcrafREPO_NAMEpokePATH_START.@poke_extracted@poke-main@poke@__init__.py@.PATH_END.py |
{
"filename": "_textpositionsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatter3d/_textpositionsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextpositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="textpositionsrc", parent_name="scatter3d", **kwargs
):
super(TextpositionsrcValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatter3d@_textpositionsrc.py@.PATH_END.py |
{
"filename": "wavelet.py",
"repo_name": "miguelcarcamov/csromer",
"repo_path": "csromer_extracted/csromer-master/src/csromer/dictionaries/wavelet.py",
"type": "Python"
} | from abc import ABCMeta, abstractmethod
from dataclasses import dataclass, field
import numpy as np
from pywt import Wavelet
@dataclass(init=True, repr=True)
class Wavelet(metaclass=ABCMeta):
wavelet_name: str = None
wavelet_level: int = None
mode: str = None
append_signal: bool = None
ncoeffs: i... | miguelcarcamovREPO_NAMEcsromerPATH_START.@csromer_extracted@csromer-master@src@csromer@dictionaries@wavelet.py@.PATH_END.py |
{
"filename": "_opacity.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatterpolar/unselected/marker/_opacity.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="opacity",
parent_name="scatterpolar.unselected.marker",
**kwargs,
):
super(OpacityValidator, self).__init__(
plotly_nam... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatterpolar@unselected@marker@_opacity.py@.PATH_END.py |
{
"filename": "ppo_lib_test.py",
"repo_name": "google/flax",
"repo_path": "flax_extracted/flax-main/examples/ppo/ppo_lib_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@examples@ppo@ppo_lib_test.py@.PATH_END.py |
{
"filename": "test_amurrica.py",
"repo_name": "astropy/halotools",
"repo_path": "halotools_extracted/halotools-master/halotools/tests/test_amurrica.py",
"type": "Python"
} | """ Module contains functions used to guarantee that only
correct American spellings are used throughout the Halotools source code.
"""
import os
import fnmatch
from ..custom_exceptions import AmurricaError, SpellingError
from . import usa, ddc
def test_amurrica_instantiation():
try:
basename, linenum, ... | astropyREPO_NAMEhalotoolsPATH_START.@halotools_extracted@halotools-master@halotools@tests@test_amurrica.py@.PATH_END.py |
{
"filename": "_procrustes.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py3/scipy/linalg/_procrustes.py",
"type": "Python"
} | """
Solve the orthogonal Procrustes problem.
"""
import numpy as np
from ._decomp_svd import svd
__all__ = ['orthogonal_procrustes']
def orthogonal_procrustes(A, B, check_finite=True):
"""
Compute the matrix solution of the orthogonal Procrustes problem.
Given matrices A and B of equal shape, find an ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py3@scipy@linalg@_procrustes.py@.PATH_END.py |
{
"filename": "orbit.py",
"repo_name": "adrn/gala",
"repo_path": "gala_extracted/gala-main/gala/dynamics/orbit.py",
"type": "Python"
} | import warnings
# Third-party
import astropy.coordinates as coord
import astropy.table as at
import astropy.units as u
import numpy as np
from scipy.signal import argrelmax
# Project
from gala.logging import logger
from ..io import quantity_from_hdf5, quantity_to_hdf5
from ..units import DimensionlessUnitSystem, Uni... | adrnREPO_NAMEgalaPATH_START.@gala_extracted@gala-main@gala@dynamics@orbit.py@.PATH_END.py |
{
"filename": "hinton_demo.py",
"repo_name": "matplotlib/matplotlib",
"repo_path": "matplotlib_extracted/matplotlib-main/galleries/examples/specialty_plots/hinton_demo.py",
"type": "Python"
} | """
===============
Hinton diagrams
===============
Hinton diagrams are useful for visualizing the values of a 2D array (e.g.
a weight matrix): Positive and negative values are represented by white and
black squares, respectively, and the size of each square represents the
magnitude of each value.
Initial idea from D... | matplotlibREPO_NAMEmatplotlibPATH_START.@matplotlib_extracted@matplotlib-main@galleries@examples@specialty_plots@hinton_demo.py@.PATH_END.py |
{
"filename": "exoplanet_lc.py",
"repo_name": "ucl-exoplanets/pylightcurve",
"repo_path": "pylightcurve_extracted/pylightcurve-master/pylightcurve/models/exoplanet_lc.py",
"type": "Python"
} |
__all__ = ['planet_orbit', 'planet_star_projected_distance', 'planet_phase',
'transit', 'transit_integrated', 'transit_depth', 'transit_duration',
'eclipse', 'eclipse_integrated', 'eclipse_depth', 'eclipse_duration', 'eclipse_mid_time',
'fp_over_fs', 'exotethys']
import os
import num... | ucl-exoplanetsREPO_NAMEpylightcurvePATH_START.@pylightcurve_extracted@pylightcurve-master@pylightcurve@models@exoplanet_lc.py@.PATH_END.py |
{
"filename": "make_sv3_vagc.ipynb",
"repo_name": "changhoonhahn/provabgs",
"repo_path": "provabgs_extracted/provabgs-main/nb/sv3/make_sv3_vagc.ipynb",
"type": "Jupyter Notebook"
} | # construct `PROVABGS` sample from SV3 data
```python
import os
import numpy as np
from astropy.table import Table
# --- plotting ---
import corner as DFM
import matplotlib as mpl
import matplotlib.pyplot as plt
mpl.rcParams['text.usetex'] = True
mpl.rcParams['font.family'] = 'serif'
mpl.rcParams['axes.linewidth'] ... | changhoonhahnREPO_NAMEprovabgsPATH_START.@provabgs_extracted@provabgs-main@nb@sv3@make_sv3_vagc.ipynb@.PATH_END.py |
{
"filename": "BADASS3_multi_spectra_options-checkpoint.ipynb",
"repo_name": "remingtonsexton/BADASS3",
"repo_path": "BADASS3_extracted/BADASS3-master/example_notebooks/.ipynb_checkpoints/BADASS3_multi_spectra_options-checkpoint.ipynb",
"type": "Jupyter Notebook"
} | ## Bayesian AGN Decomposition Analysis for SDSS Spectra (BADASS)
### Example: Multi Spectrum Fitting with Options File
This notebook is a working example of how to fit multiple spectra with Python's multiprocessing with a user-input options file. The options file contains all the fitting options, line lists, constrai... | remingtonsextonREPO_NAMEBADASS3PATH_START.@BADASS3_extracted@BADASS3-master@example_notebooks@.ipynb_checkpoints@BADASS3_multi_spectra_options-checkpoint.ipynb@.PATH_END.py |
{
"filename": "_width.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/violin/box/line/_width.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="width", parent_name="violin.box.line", **kwargs):
super(WidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@violin@box@line@_width.py@.PATH_END.py |
{
"filename": "create_link.py",
"repo_name": "mhammond/pywin32",
"repo_path": "pywin32_extracted/pywin32-main/com/win32comext/shell/demos/create_link.py",
"type": "Python"
} | # link.py
# From a demo by Mark Hammond, corrupted by Mike Fletcher
# (and re-corrupted by Mark Hammond :-)
import os
import pythoncom
from win32com.shell import shell
class PyShortcut:
def __init__(self):
self._base = pythoncom.CoCreateInstance(
shell.CLSID_ShellLink,
None,
... | mhammondREPO_NAMEpywin32PATH_START.@pywin32_extracted@pywin32-main@com@win32comext@shell@demos@create_link.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "kboone/avocado",
"repo_path": "avocado_extracted/avocado-master/README.md",
"type": "Markdown"
} | # Avocado
Photometric Classification of Astronomical Transients and Variables With Biased
Spectroscopic Samples
[](https://avocado-classifier.readthedocs.io/en/latest/?badge=latest)
## About
`avocado` is a general phot... | kbooneREPO_NAMEavocadoPATH_START.@avocado_extracted@avocado-master@README.md@.PATH_END.py |
{
"filename": "_sizesrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/icicle/insidetextfont/_sizesrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="sizesrc", parent_name="icicle.insidetextfont", **kwargs
):
super(SizesrcValidator, self).__init__(
plotly_name=plotly_name,
parent_nam... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@icicle@insidetextfont@_sizesrc.py@.PATH_END.py |
{
"filename": "bokeh_plot_mcse.py",
"repo_name": "arviz-devs/arviz",
"repo_path": "arviz_extracted/arviz-main/examples/bokeh/bokeh_plot_mcse.py",
"type": "Python"
} | """
Quantile Monte Carlo Standard Error Plot
========================================
"""
import arviz as az
data = az.load_arviz_data("centered_eight")
ax = az.plot_mcse(data, var_names=["tau", "mu"], rug=True, extra_methods=True, backend="bokeh")
| arviz-devsREPO_NAMEarvizPATH_START.@arviz_extracted@arviz-main@examples@bokeh@bokeh_plot_mcse.py@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/saved_model/utils.py",
"type": "Python"
} | # Copyright 2016 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@saved_model@utils.py@.PATH_END.py |
{
"filename": "test_bf_direction.py",
"repo_name": "GalSim-developers/GalSim",
"repo_path": "GalSim_extracted/GalSim-main/devel/lsst/test_bf_direction.py",
"type": "Python"
} | # Copyright (c) 2012-2023 by the GalSim developers team on GitHub
# https://github.com/GalSim-developers
#
# This file is part of GalSim: The modular galaxy image simulation toolkit.
# https://github.com/GalSim-developers/GalSim
#
# GalSim is free software: redistribution and use in source and binary forms,
# with or w... | GalSim-developersREPO_NAMEGalSimPATH_START.@GalSim_extracted@GalSim-main@devel@lsst@test_bf_direction.py@.PATH_END.py |
{
"filename": "_marker.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/box/_marker.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Marker(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "box"
_path_str = "box.marker"
_valid_props = {
"angle",
"color",
"li... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@box@_marker.py@.PATH_END.py |
{
"filename": "disk_bulge_kernels.py",
"repo_name": "LSSTDESC/lsstdesc-diffsky",
"repo_path": "lsstdesc-diffsky_extracted/lsstdesc-diffsky-main/lsstdesc_diffsky/disk_bulge_modeling/disk_bulge_kernels.py",
"type": "Python"
} | """
"""
from collections import OrderedDict
import numpy as np
from diffstar.fitting_helpers.fitting_kernels import _integrate_sfr
from dsps.constants import SFR_MIN
from dsps.sed.stellar_age_weights import calc_age_weights_from_sfh_table
from dsps.utils import _jax_get_dt_array
from jax import jit as jjit
from jax im... | LSSTDESCREPO_NAMElsstdesc-diffskyPATH_START.@lsstdesc-diffsky_extracted@lsstdesc-diffsky-main@lsstdesc_diffsky@disk_bulge_modeling@disk_bulge_kernels.py@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "trivnguyen/nehod_torch",
"repo_path": "nehod_torch_extracted/nehod_torch-main/nehod/utils.py",
"type": "Python"
} |
import numpy as np
try:
from wonderwords import RandomWord
except:
RandomWord = None
continue
def get_random_name():
""" Generate a random name """
if RandomWord is None:
return "default-run-0"
w = RandomWord()
word1 = " "
while "-" in word1 or " " in word1:
word1 = w.w... | trivnguyenREPO_NAMEnehod_torchPATH_START.@nehod_torch_extracted@nehod_torch-main@nehod@utils.py@.PATH_END.py |
{
"filename": "stateless_scope_test.py",
"repo_name": "keras-team/keras",
"repo_path": "keras_extracted/keras-master/keras/src/backend/common/stateless_scope_test.py",
"type": "Python"
} | import numpy as np
from keras.src import backend
from keras.src import ops
from keras.src import testing
from keras.src.backend.common.stateless_scope import StatelessScope
class TestStatelessScope(testing.TestCase):
def test_basic_flow(self):
var1 = backend.Variable(np.zeros((2,)))
var2 = backen... | keras-teamREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@backend@common@stateless_scope_test.py@.PATH_END.py |
{
"filename": "fit_tser_emcee.py",
"repo_name": "eas342/tshirt",
"repo_path": "tshirt_extracted/tshirt-master/tshirt/fit_tser_emcee.py",
"type": "Python"
} | import numpy as np
import emcee
import pdb
import os
import glob
from astropy.io import ascii
from astropy.table import Table
from matplotlib import style as mplStyle
mplStyle.use('classic')
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
from matplotlib.collections import LineCollection
from matplotlib ... | eas342REPO_NAMEtshirtPATH_START.@tshirt_extracted@tshirt-master@tshirt@fit_tser_emcee.py@.PATH_END.py |
{
"filename": "equations.md",
"repo_name": "amrvac/amrvac",
"repo_path": "amrvac_extracted/amrvac-master/doc/equations.md",
"type": "Markdown"
} | # Physics modules and equations
[TOC]
# List of physics modules {#eq_list_physics}
This document describes the equations implemented.
Information about user defined source terms are in [user module](amrvacusr.md). In
principle, the code handles anything of generic form
The code is con... | amrvacREPO_NAMEamrvacPATH_START.@amrvac_extracted@amrvac-master@doc@equations.md@.PATH_END.py |
{
"filename": "one_time.py",
"repo_name": "nbellomo/Multi_CLASS",
"repo_path": "Multi_CLASS_extracted/Multi_CLASS-master/scripts/one_time.py",
"type": "Python"
} |
# coding: utf-8
# In[1]:
# import necessary modules
# uncomment to get plots displayed in notebook
#%matplotlib inline
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
from classy import Class
from scipy.optimize import fsolve
from scipy.interpolate import interp1d
import math
# In[2]:
# esthe... | nbellomoREPO_NAMEMulti_CLASSPATH_START.@Multi_CLASS_extracted@Multi_CLASS-master@scripts@one_time.py@.PATH_END.py |
{
"filename": "networkx_graph.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/graphs/networkx_graph.py",
"type": "Python"
} | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.graphs import NetworkxEntityGraph
from langchain_community.graphs.networkx_graph import (
KnowledgeTriple,
get_entities,
parse_triples,
)
# Create a way to d... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@graphs@networkx_graph.py@.PATH_END.py |
{
"filename": "test_simultaneous.py",
"repo_name": "macrocosme/shwirl",
"repo_path": "shwirl_extracted/shwirl-master/shwirl/extern/vispy/app/tests/test_simultaneous.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import numpy as np
from numpy.testing import assert_allclose
from time import sleep
from vispy.app import use_app, Canvas, Timer
from vispy.testing import requires_application, SkipTest, run_tests_if_main
from vispy.util.ptime import time
from vispy.gloo import gl
from vispy.gloo.util import _... | macrocosmeREPO_NAMEshwirlPATH_START.@shwirl_extracted@shwirl-master@shwirl@extern@vispy@app@tests@test_simultaneous.py@.PATH_END.py |
{
"filename": "copy_prebuilt_native_files.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/jvm-packages/tools/copy_prebuilt_native_files.py",
"type": "Python"
} | #!/usr/bin/env python
import argparse
import errno
import os
import shutil
import sys
if sys.version_info[0] == 2:
import distutils.dir_util
def makedirs_if_not_exist(dir_path):
"""
ensure that target directory exists, can't use exist_ok flag because it is unavailable in
python 2.7
"""
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@jvm-packages@tools@copy_prebuilt_native_files.py@.PATH_END.py |
{
"filename": "misc.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/autograph/utils/misc.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@python@autograph@utils@misc.py@.PATH_END.py |
{
"filename": "linear_model_test.py",
"repo_name": "vaexio/vaex",
"repo_path": "vaex_extracted/vaex-master/tests/ml/linear_model_test.py",
"type": "Python"
} | import pytest
pytest.importorskip("sklearn")
import sys
import numpy as np
import vaex.datasets
import vaex.ml.linear_model
features = ['petal_length', 'petal_width', 'sepal_length', 'sepal_width']
@pytest.mark.skipif(sys.version_info < (3, 6), reason="requires python3.6 or higher")
def test_linear_model(df_iris):
... | vaexioREPO_NAMEvaexPATH_START.@vaex_extracted@vaex-master@tests@ml@linear_model_test.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "hmuellergoe/mrbeam",
"repo_path": "mrbeam_extracted/mrbeam-main/mr_beam/ga/GA/problems/__init__.py",
"type": "Python"
} | hmuellergoeREPO_NAMEmrbeamPATH_START.@mrbeam_extracted@mrbeam-main@mr_beam@ga@GA@problems@__init__.py@.PATH_END.py | |
{
"filename": "rules.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/numpy/py3/numpy/f2py/rules.py",
"type": "Python"
} | #!/usr/bin/env python3
"""
Rules for building C/API module with f2py2e.
Here is a skeleton of a new wrapper function (13Dec2001):
wrapper_function(args)
declarations
get_python_arguments, say, `a' and `b'
get_a_from_python
if (successful) {
get_b_from_python
if (successful) {
callfortran
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@numpy@py3@numpy@f2py@rules.py@.PATH_END.py |
{
"filename": "setup_package.py",
"repo_name": "astropy/astroquery",
"repo_path": "astroquery_extracted/astroquery-main/astroquery/esasky/tests/setup_package.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import os
# setup paths to the test data
# can specify a single file or a list of files
def get_package_data():
paths = [os.path.join('data', '*.dat'),
os.path.join('data', '*.xml'),
os.path.join('data', '*.txt'),
... | astropyREPO_NAMEastroqueryPATH_START.@astroquery_extracted@astroquery-main@astroquery@esasky@tests@setup_package.py@.PATH_END.py |
{
"filename": "test_pointverify.py",
"repo_name": "astroufsc/chimera",
"repo_path": "chimera_extracted/chimera-master/src/chimera/controllers/tests/test_pointverify.py",
"type": "Python"
} | #! /usr/bin/env python
# -*- coding: iso-8859-1 -*-
# chimera - observatory automation system
# Copyright (C) 2006-2007 P. Henrique Silva <henrique@astro.ufsc.br>
# 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 S... | astroufscREPO_NAMEchimeraPATH_START.@chimera_extracted@chimera-master@src@chimera@controllers@tests@test_pointverify.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_32/copy_injection_recovery.py",
"type": "Python"
} | import os
os.environ['CUDA_VISIBLE_DEVICES'] = "3"
os.environ["XLA_PYTHON_CLIENT_MEM_FRACTION"] = "0.25"
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
impo... | ThibeauWoutersREPO_NAMETurboPE-BNSPATH_START.@TurboPE-BNS_extracted@TurboPE-BNS-main@injections@outdir_TF2@injection_32@copy_injection_recovery.py@.PATH_END.py |
{
"filename": "integral_sympy.ipynb",
"repo_name": "lgrcia/paper-nuance",
"repo_path": "paper-nuance_extracted/paper-nuance-main/proofs/integral_sympy.ipynb",
"type": "Jupyter Notebook"
} | $$p(y \vert P, T_0 ,D, \Delta)$$
$$p(y \vert P, T_0 ,D, \Delta) = \prod_k p(y \vert T_k ,D, \Delta)$$
$$ p(y \vert T_k ,D, \Delta) = \int p(y \vert T_k ,D, \tilde\Delta) \cdot p(\tilde\Delta \vert \Delta) \tilde\Delta$$
$$p(\tilde\Delta \vert \Delta) = N(\Delta, \Sigma) \quad \text{with} \quad
\frac{1}{\Sigma^2} ... | lgrciaREPO_NAMEpaper-nuancePATH_START.@paper-nuance_extracted@paper-nuance-main@proofs@integral_sympy.ipynb@.PATH_END.py |
{
"filename": "plot_b_aperture.ipynb",
"repo_name": "jpierel14/space_phot",
"repo_path": "space_phot_extracted/space_phot-main/Docs/source/examples/plot_b_aperture.ipynb",
"type": "Jupyter Notebook"
} | ```python
%matplotlib inline
```
# Aperture Photometry
Measuring PSF Photometry with space_phot.
An example HST Dataset is downloaded, and then we measure
aperture photometry. This is public HST data for the
gravitationally lensed SN 2022riv
```python
import sys,os,glob
from astropy.io import fits
from astropy... | jpierel14REPO_NAMEspace_photPATH_START.@space_phot_extracted@space_phot-main@Docs@source@examples@plot_b_aperture.ipynb@.PATH_END.py |
{
"filename": "_bordercolorsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattergl/hoverlabel/_bordercolorsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="bordercolorsrc", parent_name="scattergl.hoverlabel", **kwargs
):
super(BordercolorsrcValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattergl@hoverlabel@_bordercolorsrc.py@.PATH_END.py |
{
"filename": "Detailed Plot evolution to compare beta effect .ipynb",
"repo_name": "FloorBroekgaarden/Double-Compact-Object-Mergers",
"repo_path": "Double-Compact-Object-Mergers_extracted/Double-Compact-Object-Mergers-main/plottingCode/mass_transfer_efficiency_check/Detailed Plot evolution to compare beta effect... | ```python
import sys
sys.path.append('../../Scripts')
from PostProcessingScripts import *
import pandas as pd
import string
# just to make the cells appear wider:
from IPython.core.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
import h5py as h5
import numpy as n... | FloorBroekgaardenREPO_NAMEDouble-Compact-Object-MergersPATH_START.@Double-Compact-Object-Mergers_extracted@Double-Compact-Object-Mergers-main@plottingCode@mass_transfer_efficiency_check@Detailed Plot evolution to compare beta effect .ipynb@.PATH_END.py |
{
"filename": "_name.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/surface/_name.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="name", parent_name="surface", **kwargs):
super(NameValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_ty... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@surface@_name.py@.PATH_END.py |
{
"filename": "spectrum_oneD.py",
"repo_name": "cylammarco/ASPIRED",
"repo_path": "ASPIRED_extracted/ASPIRED-main/src/aspired/spectrum_oneD.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import datetime
import logging
import os
from typing import Callable, Union
import astropy
import numpy as np
from astropy.io import fits
from rascal.calibrator import Calibrator
from scipy import interpolate as itp
__all__ = ["SpectrumOneD"]
class SpectrumOneD:
"""
Base class of a 1... | cylammarcoREPO_NAMEASPIREDPATH_START.@ASPIRED_extracted@ASPIRED-main@src@aspired@spectrum_oneD.py@.PATH_END.py |
{
"filename": "modsAdd.py",
"repo_name": "rwpogge/modsCCDRed",
"repo_path": "modsCCDRed_extracted/modsCCDRed-master/modsAdd.py",
"type": "Python"
} | #! /usr/bin/env python
#
# modsAdd - Add (or average) FITS images
#
# Usage: modsAdd [options] inFile?.fits outFile.fits
#
# Where:
# inFile?.fits = input FITS files to add together.
# outFile.fits = output file to create
#
# Options:
# -a = compute the average instead of the sum
# -f = force overwrite of th... | rwpoggeREPO_NAMEmodsCCDRedPATH_START.@modsCCDRed_extracted@modsCCDRed-master@modsAdd.py@.PATH_END.py |
{
"filename": "isotope_pd_subclass.ipynb",
"repo_name": "tardis-sn/tardis",
"repo_path": "tardis_extracted/tardis-main/docs/using/interaction/isotope_pd_subclass.ipynb",
"type": "Jupyter Notebook"
} | # Extending Pandas DataFrame Class
In this notebook we show how to extend the Pandas DataFrame class using the IsotopeAbundances class defined in tardis/io/decay.py. Official Pandas documentation is located here: https://pandas.pydata.org/pandas-docs/stable/development/extending.html
```python
import pandas as pd
im... | tardis-snREPO_NAMEtardisPATH_START.@tardis_extracted@tardis-main@docs@using@interaction@isotope_pd_subclass.ipynb@.PATH_END.py |
{
"filename": "test_qif.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/statsmodels/genmod/tests/test_qif.py",
"type": "Python"
} | import numpy as np
from numpy.testing import assert_allclose
import pandas as pd
import pytest
from statsmodels.genmod.qif import (QIF, QIFIndependence, QIFExchangeable,
QIFAutoregressive)
from statsmodels.tools.numdiff import approx_fprime
from statsmodels.genmod import families
@... | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@statsmodels@genmod@tests@test_qif.py@.PATH_END.py |
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