metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "README.md",
"repo_name": "revoltek/LiLF",
"repo_path": "LiLF_extracted/LiLF-master/README.md",
"type": "Markdown"
} | # LiLF
Library for Low Frequencies
LiLF is a set of functions linked together in pipelines for the reduction of low-frequency interferometric data in radio astronomy. It is built upon LOFAR software. LiLF can be used on both LOFAR and uGMRT data.
- LOFAR: http://lofar.org/
- uGMRT: http://www.ncra.tifr.res.in/ncra/gm... | revoltekREPO_NAMELiLFPATH_START.@LiLF_extracted@LiLF-master@README.md@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "exoplanet-dev/celerite2",
"repo_path": "celerite2_extracted/celerite2-main/python/celerite2/__init__.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
__all__ = ["__version__", "terms", "GaussianProcess"]
import celerite2.terms as terms
from celerite2.celerite2_version import __version__
from celerite2.numpy import GaussianProcess
__uri__ = "https://celerite2.readthedocs.io"
__author__ = "Daniel Foreman-Mackey"
__email__ = "foreman.mackey@g... | exoplanet-devREPO_NAMEcelerite2PATH_START.@celerite2_extracted@celerite2-main@python@celerite2@__init__.py@.PATH_END.py |
{
"filename": "_mode.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatterternary/_mode.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(self, plotly_name="mode", parent_name="scatterternary", **kwargs):
super(ModeValidator, 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@scatterternary@_mode.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "crossbario/crossbar",
"repo_path": "crossbar_extracted/crossbar-master/crossbar/bridge/mqtt/__init__.py",
"type": "Python"
} | #####################################################################################
#
# Copyright (c) typedef int GmbH
# SPDX-License-Identifier: EUPL-1.2
#
#####################################################################################
| crossbarioREPO_NAMEcrossbarPATH_START.@crossbar_extracted@crossbar-master@crossbar@bridge@mqtt@__init__.py@.PATH_END.py |
{
"filename": "_enabled.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattersmith/marker/colorbar/tickformatstop/_enabled.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self,
plotly_name="enabled",
parent_name="scattersmith.marker.colorbar.tickformatstop",
**kwargs,
):
super(EnabledValidator, self).__init__(
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattersmith@marker@colorbar@tickformatstop@_enabled.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "cajohare/AxionLimits",
"repo_path": "AxionLimits_extracted/AxionLimits-master/limit_data/AxionElectron/README.md",
"type": "Markdown"
} | # AxionLimits
All data files have ma [eV] in the first column and g_ae [dimensionless] in the second column. Projected limits are in the Projections folder
# Limits:
### Underground detectors
* DARWIN: [projection](https://github.com/cajohare/AxionLimits/raw/master/limit_data/AxionElectron/Projections/DARWIN.txt), [r... | cajohareREPO_NAMEAxionLimitsPATH_START.@AxionLimits_extracted@AxionLimits-master@limit_data@AxionElectron@README.md@.PATH_END.py |
{
"filename": "Calibration.py",
"repo_name": "GBTSpectroscopy/gbtpipe",
"repo_path": "gbtpipe_extracted/gbtpipe-master/gbtpipe/Calibration.py",
"type": "Python"
} | """Calibration methods for the GBT Pipeline.
This module contains all the core calibration methods for GBT
single dish mapping needed by the pipeline. It includes both
position-switched and frequency-switched calibration methods.
"""
# Copyright (C) 2007 Associated Universities, Inc. Washington DC, USA.
#
# This pro... | GBTSpectroscopyREPO_NAMEgbtpipePATH_START.@gbtpipe_extracted@gbtpipe-master@gbtpipe@Calibration.py@.PATH_END.py |
{
"filename": "_violin.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/_violin.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceType as _BaseTraceType
import copy as _copy
class Violin(_BaseTraceType):
# class properties
# --------------------
_parent_path_str = ""
_path_str = "violin"
_valid_props = {
"alignmentgroup",
"bandwidth",
"box",
"customda... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@_violin.py@.PATH_END.py |
{
"filename": "simple_example.py",
"repo_name": "rbuehler/vasca",
"repo_path": "vasca_extracted/vasca-main/docs/tutorials/simple_example.py",
"type": "Python"
} | # ---
# jupyter:
# jupytext:
# text_represenation:
# extension: .py
# format_name: percent
# text_representation:
# extension: .py
# format_name: percent
# format_version: '1.3'
# jupytext_version: 1.16.4
# kernelspec:
# display_name: vasca-github
# language: pyth... | rbuehlerREPO_NAMEvascaPATH_START.@vasca_extracted@vasca-main@docs@tutorials@simple_example.py@.PATH_END.py |
{
"filename": "_gradient.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattergeo/marker/_gradient.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class GradientValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="gradient", parent_name="scattergeo.marker", **kwargs
):
super(GradientValidator, self).__init__(
plotly_name=plotly_name,
parent... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattergeo@marker@_gradient.py@.PATH_END.py |
{
"filename": "grid.py",
"repo_name": "clemson-cal/sailfish",
"repo_path": "sailfish_extracted/sailfish-master/ideas/grid.py",
"type": "Python"
} | from numpy import zeros, linspace, meshgrid, exp
def copy_guard_zones(grid):
for i, j in grid:
cc = grid.get((i, j))
lc = grid.get((i - 1, j), None)
rc = grid.get((i + 1, j), None)
cl = grid.get((i, j - 1), None)
cr = grid.get((i, j + 1), None)
if lc is not None:
... | clemson-calREPO_NAMEsailfishPATH_START.@sailfish_extracted@sailfish-master@ideas@grid.py@.PATH_END.py |
{
"filename": "_cmax.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatter3d/marker/_cmax.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="cmax", parent_name="scatter3d.marker", **kwargs):
super(CmaxValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatter3d@marker@_cmax.py@.PATH_END.py |
{
"filename": "syn_phot.py",
"repo_name": "tomasstolker/species",
"repo_path": "species_extracted/species-main/species/phot/syn_phot.py",
"type": "Python"
} | """
Module with functionalities for calculating synthetic photometry.
"""
import os
import math
import warnings
import configparser
from typing import List, Optional, Union, Tuple
import h5py
import numpy as np
from typeguard import typechecked
from species.data.spec_data.spec_vega import add_vega
from species.rea... | tomasstolkerREPO_NAMEspeciesPATH_START.@species_extracted@species-main@species@phot@syn_phot.py@.PATH_END.py |
{
"filename": "atomic.py",
"repo_name": "atomdb/pyatomdb",
"repo_path": "pyatomdb_extracted/pyatomdb-master/pyatomdb/pyatomdb/atomic.py",
"type": "Python"
} | """
atomic.py contains routines related to basic atomic data, e.g. converting
integer nuclear charge to element symbols, etc.
Version -.1 - initial release
Adam Foster July 17th 2015
"""
llist = 'spdfghiklmnoqrtuvwxyzABCDEFGHIJKLMNOP'
import re, numpy
##################################################################... | atomdbREPO_NAMEpyatomdbPATH_START.@pyatomdb_extracted@pyatomdb-master@pyatomdb@pyatomdb@atomic.py@.PATH_END.py |
{
"filename": "model.py",
"repo_name": "triton-inference-server/server",
"repo_path": "server_extracted/server-main/qa/L0_model_config/autofill_noplatform/python/no_return/model.py",
"type": "Python"
} | # Copyright 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice, this list o... | triton-inference-serverREPO_NAMEserverPATH_START.@server_extracted@server-main@qa@L0_model_config@autofill_noplatform@python@no_return@model.py@.PATH_END.py |
{
"filename": "Documentation.md",
"repo_name": "hpc4cmb/toast",
"repo_path": "toast_extracted/toast-main/src/libtoast/gtest/googletest/docs/Documentation.md",
"type": "Markdown"
} | This page lists all documentation wiki pages for Google Test **(the SVN trunk version)**
-- **if you use a released version of Google Test, please read the
documentation for that specific version instead.**
* [Primer](Primer.md) -- start here if you are new to Google Test.
* [Samples](Samples.md) -- learn from exa... | hpc4cmbREPO_NAMEtoastPATH_START.@toast_extracted@toast-main@src@libtoast@gtest@googletest@docs@Documentation.md@.PATH_END.py |
{
"filename": "210_DataLoading_Automatic.ipynb",
"repo_name": "rometsch/fargocpt",
"repo_path": "fargocpt_extracted/fargocpt-master/examples/210_DataLoading_Automatic.ipynb",
"type": "Jupyter Notebook"
} | ## Loading data from the simulation output - the automatic way
This notebook teaches you how to load data from the simulation output using a helper tool.
We will use the data from the simulation in the quickstart example, so make sure you ran this beforehand.
We'll first create a Data object and ask what's available... | rometschREPO_NAMEfargocptPATH_START.@fargocpt_extracted@fargocpt-master@examples@210_DataLoading_Automatic.ipynb@.PATH_END.py |
{
"filename": "slices_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/autograph/converters/slices_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@python@autograph@converters@slices_test.py@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "1313e/CMasher",
"repo_path": "CMasher_extracted/CMasher-master/src/cmasher/utils.py",
"type": "Python"
} | """
Utils
=====
Utility functions for registering and manipulating colormaps in various ways.
"""
import os
from collections import OrderedDict
from collections.abc import Callable
from importlib.util import find_spec
from pathlib import Path
from textwrap import dedent
from typing import TYPE_CHECKING
import matplo... | 1313eREPO_NAMECMasherPATH_START.@CMasher_extracted@CMasher-master@src@cmasher@utils.py@.PATH_END.py |
{
"filename": "_sunburst.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/layout/template/data/_sunburst.py",
"type": "Python"
} | from plotly.graph_objs import Sunburst
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@layout@template@data@_sunburst.py@.PATH_END.py |
{
"filename": "setup_package.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/timeseries/periodograms/lombscargle/setup_package.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from pathlib import Path
from numpy import get_include as get_numpy_include
from setuptools import Extension
ROOT = Path(__file__).parent.resolve().relative_to(Path.cwd())
def get_extensions():
ext = Extension(
"astropy.timeseries.periodog... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@timeseries@periodograms@lombscargle@setup_package.py@.PATH_END.py |
{
"filename": "_outsidetextfont.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/funnel/_outsidetextfont.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Outsidetextfont(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "funnel"
_path_str = "funnel.outsidetextfont"
_valid_props = {
"color",
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@funnel@_outsidetextfont.py@.PATH_END.py |
{
"filename": "test_spectral_models.py",
"repo_name": "lucabaldini/ixpeobssim",
"repo_path": "ixpeobssim_extracted/ixpeobssim-main/tests/test_spectral_models.py",
"type": "Python"
} | #!/usr/bin/env python
#
# Copyright (C) 2015, 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.
#
#... | lucabaldiniREPO_NAMEixpeobssimPATH_START.@ixpeobssim_extracted@ixpeobssim-main@tests@test_spectral_models.py@.PATH_END.py |
{
"filename": "seq.py",
"repo_name": "simonsobs/sorunlib",
"repo_path": "sorunlib_extracted/sorunlib-main/src/sorunlib/seq.py",
"type": "Python"
} | import datetime as dt
import sorunlib as run
from sorunlib.commands import _timestamp_to_utc_datetime
from sorunlib._internal import check_response, check_started, monitor_process
OP_TIMEOUT = 60
def scan(description, stop_time, width, az_drift=0, tag=None, subtype=None,
min_duration=None):
"""Run a ... | simonsobsREPO_NAMEsorunlibPATH_START.@sorunlib_extracted@sorunlib-main@src@sorunlib@seq.py@.PATH_END.py |
{
"filename": "check_sph.py",
"repo_name": "LSSTDESC/NaMaster",
"repo_path": "NaMaster_extracted/NaMaster-master/sandbox_validation/check_sph.py",
"type": "Python"
} | from __future__ import print_function
from optparse import OptionParser
import numpy as np
import healpy as hp
import matplotlib.pyplot as plt
import pymaster as nmt
import os
import sys
DTOR=np.pi/180
def opt_callback(option, opt, value, parser):
setattr(parser.values, option.dest, value.split(','))
parser = Opt... | LSSTDESCREPO_NAMENaMasterPATH_START.@NaMaster_extracted@NaMaster-master@sandbox_validation@check_sph.py@.PATH_END.py |
{
"filename": "_textcase.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattercarpet/marker/colorbar/tickfont/_textcase.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextcaseValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="textcase",
parent_name="scattercarpet.marker.colorbar.tickfont",
**kwargs,
):
super(TextcaseValidator, self).__init__(
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattercarpet@marker@colorbar@tickfont@_textcase.py@.PATH_END.py |
{
"filename": "_coloraxis.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/parcats/line/_coloraxis.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
def __init__(self, plotly_name="coloraxis", parent_name="parcats.line", **kwargs):
super(ColoraxisValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_na... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@parcats@line@_coloraxis.py@.PATH_END.py |
{
"filename": "field_plugin_registry.py",
"repo_name": "yt-project/yt",
"repo_path": "yt_extracted/yt-main/yt/fields/field_plugin_registry.py",
"type": "Python"
} | from collections.abc import Callable
FunctionName = str
FieldPluginMap = dict[FunctionName, Callable]
field_plugins: FieldPluginMap = {}
def register_field_plugin(func: Callable) -> Callable:
name = func.__name__
if name.startswith("setup_"):
name = name[len("setup_") :]
if name.endswith("_fields... | yt-projectREPO_NAMEytPATH_START.@yt_extracted@yt-main@yt@fields@field_plugin_registry.py@.PATH_END.py |
{
"filename": "normalizers.py",
"repo_name": "neuraloperator/neuraloperator",
"repo_path": "neuraloperator_extracted/neuraloperator-main/neuralop/data/transforms/normalizers.py",
"type": "Python"
} | from typing import Dict
from ...utils import count_tensor_params
from .base_transforms import Transform, DictTransform
import torch
class Normalizer(Transform):
def __init__(self, mean, std, eps=1e-6):
self.mean = mean
self.std = std
self.eps = eps
def transform(self, data):
r... | neuraloperatorREPO_NAMEneuraloperatorPATH_START.@neuraloperator_extracted@neuraloperator-main@neuralop@data@transforms@normalizers.py@.PATH_END.py |
{
"filename": "_tickformat.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/ternary/aaxis/_tickformat.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="tickformat", parent_name="layout.ternary.aaxis", **kwargs
):
super(TickformatValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@ternary@aaxis@_tickformat.py@.PATH_END.py |
{
"filename": "test_return_logical.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/numpy/py3/numpy/f2py/tests/test_return_logical.py",
"type": "Python"
} | import pytest
from numpy import array
from . import util
class TestReturnLogical(util.F2PyTest):
def check_function(self, t):
assert t(True) == 1
assert t(False) == 0
assert t(0) == 0
assert t(None) == 0
assert t(0.0) == 0
assert t(0j) == 0
assert t(1j) == ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@numpy@py3@numpy@f2py@tests@test_return_logical.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "California-Planet-Search/planet-pi",
"repo_path": "planet-pi_extracted/planet-pi-master/README.md",
"type": "Markdown"
} | # planet-pi | California-Planet-SearchREPO_NAMEplanet-piPATH_START.@planet-pi_extracted@planet-pi-master@README.md@.PATH_END.py |
{
"filename": "minres.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/sparse/linalg/_isolve/minres.py",
"type": "Python"
} | from numpy import inner, zeros, inf, finfo
from numpy.linalg import norm
from math import sqrt
from .utils import make_system
__all__ = ['minres']
def minres(A, b, x0=None, *, rtol=1e-5, shift=0.0, maxiter=None,
M=None, callback=None, show=False, check=False):
"""
Use MINimum RESidual iteration t... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@sparse@linalg@_isolve@minres.py@.PATH_END.py |
{
"filename": "model_export_as_cpp_code_tutorial.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/tutorials/apply_model/model_export_as_cpp_code_tutorial.md",
"type": "Markdown"
} | Export of CatBoost model as standalone C++ code
===============================================
Catboost model could be saved as standalone C++ code. This can ease an integration of a generated model into an application built from C++ sources, simplify porting the model to an architecture not direcly supported by CatB... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@tutorials@apply_model@model_export_as_cpp_code_tutorial.md@.PATH_END.py |
{
"filename": "spherical_geometry.py",
"repo_name": "astropy/halotools",
"repo_path": "halotools_extracted/halotools-master/halotools/utils/spherical_geometry.py",
"type": "Python"
} | """
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
from astropy.utils.misc import NumpyRNGContext
__all__ = ['spherical_to_cartesian', 'chord_to_cartesian', 'sample_spherical_surface']
__author__ = ('Duncan Campbell', )
def spherical_to_cartesian(ra, dec):
... | astropyREPO_NAMEhalotoolsPATH_START.@halotools_extracted@halotools-master@halotools@utils@spherical_geometry.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/tests/integration_tests/chat_models/__init__.py",
"type": "Python"
} | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@tests@integration_tests@chat_models@__init__.py@.PATH_END.py | |
{
"filename": "jaxemulator.py",
"repo_name": "gully/blase",
"repo_path": "blase_extracted/blase-main/src/blase/jaxemulator.py",
"type": "Python"
} | r"""
emulator
--------------
Precomputed synthetic spectral models are awesome but imperfect and rigid. Here we clone the most prominent spectral lines and continuum appearance of synthetic spectral models to turn them into tunable, flexible, semi-empirical models. We can ultimately learn the properties of the pre-c... | gullyREPO_NAMEblasePATH_START.@blase_extracted@blase-main@src@blase@jaxemulator.py@.PATH_END.py |
{
"filename": "fast_bilinar_interpolation.py",
"repo_name": "threeML/hawc_hal",
"repo_path": "hawc_hal_extracted/hawc_hal-master/hawc_hal/interpolation/fast_bilinar_interpolation.py",
"type": "Python"
} | from __future__ import division
from builtins import object
from past.utils import old_div
import numpy as np
from numba import jit
class FastBilinearInterpolation(object):
"""
A super fast bilinar interpolation implementation which exploits the fact that we are always interpolating in the
same grid. For... | threeMLREPO_NAMEhawc_halPATH_START.@hawc_hal_extracted@hawc_hal-master@hawc_hal@interpolation@fast_bilinar_interpolation.py@.PATH_END.py |
{
"filename": "test_with_scipy.py",
"repo_name": "dmlc/xgboost",
"repo_path": "xgboost_extracted/xgboost-master/tests/python/test_with_scipy.py",
"type": "Python"
} | import itertools
import warnings
from typing import Type
import numpy as np
import pytest
import scipy.sparse
import xgboost as xgb
from xgboost import testing as tm
@pytest.mark.filterwarnings("error")
@pytest.mark.parametrize(
"DMatrixT,CSR",
[
(m, n)
for m, n in itertools.product(
... | dmlcREPO_NAMExgboostPATH_START.@xgboost_extracted@xgboost-master@tests@python@test_with_scipy.py@.PATH_END.py |
{
"filename": "test_imaging_data.py",
"repo_name": "sibirrer/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/test/test_Data/test_imaging_data.py",
"type": "Python"
} | import pytest
import numpy as np
import numpy.testing as npt
import copy
import unittest
from lenstronomy.Data.imaging_data import ImageData
import lenstronomy.Util.util as util
class TestData(object):
def setup_method(self):
self.numPix = 10
kwargs_data = {
"image_data": np.zeros((se... | sibirrerREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@test@test_Data@test_imaging_data.py@.PATH_END.py |
{
"filename": "ps_roi_align.py",
"repo_name": "pytorch/vision",
"repo_path": "vision_extracted/vision-main/torchvision/ops/ps_roi_align.py",
"type": "Python"
} | import torch
import torch.fx
from torch import nn, Tensor
from torch.nn.modules.utils import _pair
from torchvision.extension import _assert_has_ops
from ..utils import _log_api_usage_once
from ._utils import check_roi_boxes_shape, convert_boxes_to_roi_format
@torch.fx.wrap
def ps_roi_align(
input: Tensor,
b... | pytorchREPO_NAMEvisionPATH_START.@vision_extracted@vision-main@torchvision@ops@ps_roi_align.py@.PATH_END.py |
{
"filename": "cc_calc_cbass_plot.py",
"repo_name": "mpeel/fastcc",
"repo_path": "fastcc_extracted/fastcc-master/cc_calc_cbass_plot.py",
"type": "Python"
} | import matplotlib.pyplot as plt
import numpy as np
outdir = 'plots_2022_11_08/'
alphas = [-3.0, -2.5, -2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0]
alphas = np.asarray(alphas)
old_I = [1.0001032131966172, -0.0007238230723749948, -0.00133638092466769, 4.76]
old_P = [0.9985614382180937, -0.0059052... | mpeelREPO_NAMEfastccPATH_START.@fastcc_extracted@fastcc-master@cc_calc_cbass_plot.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "PeterKamphuis/pyFAT-astro",
"repo_path": "pyFAT-astro_extracted/pyFAT-astro-main/docs/source/conf.py",
"type": "Python"
} | # Configuration file for the Sphinx documentation builder.
# -- Project information
project = 'pyFAT-astro'
copyright = '2021, P. Kamphuis'
author = 'P. Kamphuis'
release = '0.1'
version = '0.1.6'
# -- General configuration
extensions = [
'sphinx.ext.duration',
'sphinx.ext.doctest',
'sphinx.ext.autodoc... | PeterKamphuisREPO_NAMEpyFAT-astroPATH_START.@pyFAT-astro_extracted@pyFAT-astro-main@docs@source@conf.py@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/heatmapgl/colorbar/title/_font.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="font", parent_name="heatmapgl.colorbar.title", **kwargs
):
super(FontValidator, self).__init__(
plotly_name=plotly_name,
parent_name... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@heatmapgl@colorbar@title@_font.py@.PATH_END.py |
{
"filename": "_weightsrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattersmith/hoverlabel/font/_weightsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WeightsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="weightsrc",
parent_name="scattersmith.hoverlabel.font",
**kwargs,
):
super(WeightsrcValidator, self).__init__(
plotly_na... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattersmith@hoverlabel@font@_weightsrc.py@.PATH_END.py |
{
"filename": "milvus.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/query_constructors/milvus.py",
"type": "Python"
} | """Logic for converting internal query language to a valid Milvus query."""
from typing import Tuple, Union
from langchain_core.structured_query import (
Comparator,
Comparison,
Operation,
Operator,
StructuredQuery,
Visitor,
)
COMPARATOR_TO_BER = {
Comparator.EQ: "==",
Comparator.GT: ... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@query_constructors@milvus.py@.PATH_END.py |
{
"filename": "LHCDMCosmology.py",
"repo_name": "igomezv/simplemc_tests",
"repo_path": "simplemc_tests_extracted/simplemc_tests-main/simplemc/models/LHCDMCosmology.py",
"type": "Python"
} | from simplemc.models.LCDMCosmology import LCDMCosmology
from simplemc.cosmo.paramDefs import alpha_1_par
import math as N
import numpy as np
#TODO Add more DE EoS for comparison
class LHCDMCosmology(LCDMCosmology):
"""
This is CDM cosmology with w, wa and Ok.
CPL parameterization with curvature.... | igomezvREPO_NAMEsimplemc_testsPATH_START.@simplemc_tests_extracted@simplemc_tests-main@simplemc@models@LHCDMCosmology.py@.PATH_END.py |
{
"filename": "TensorStrainPolicyInst.cc.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/Damage/TensorStrainPolicyInst.cc.py",
"type": "Python"
} | text = """
//------------------------------------------------------------------------------
// Explicit instantiation.
//------------------------------------------------------------------------------
#include "Geometry/Dimension.hh"
#include "Damage/TensorStrainPolicy.cc"
namespace Spheral {
template class Spheral::... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@Damage@TensorStrainPolicyInst.cc.py@.PATH_END.py |
{
"filename": "python-reference_pool_set_feature_names.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/concepts/python-reference_pool_set_feature_names.md",
"type": "Markdown"
} | # set_feature_names
{% include [set_feature_names-set_feature_names__desc](../_includes/work_src/reusage-python/set_feature_names__desc.md) %}
## {{ dl--invoke-format }} {#call-format}
```python
set_feature_names(feature_names)
```
## {{ dl--parameters }} {#parameters}
### feature_names
#### Description
A list ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@concepts@python-reference_pool_set_feature_names.md@.PATH_END.py |
{
"filename": "_shadow.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/scene/zaxis/tickfont/_shadow.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShadowValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="shadow", parent_name="layout.scene.zaxis.tickfont", **kwargs
):
super(ShadowValidator, self).__init__(
plotly_name=plotly_name,
pare... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@scene@zaxis@tickfont@_shadow.py@.PATH_END.py |
{
"filename": "_streamtube.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/layout/template/data/_streamtube.py",
"type": "Python"
} | from plotly.graph_objs import Streamtube
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@layout@template@data@_streamtube.py@.PATH_END.py |
{
"filename": "_token.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/indicator/stream/_token.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TokenValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="token", parent_name="indicator.stream", **kwargs):
super(TokenValidator, 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@indicator@stream@_token.py@.PATH_END.py |
{
"filename": "_labelformat.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/contour/contours/_labelformat.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LabelformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="labelformat", parent_name="contour.contours", **kwargs
):
super(LabelformatValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@contour@contours@_labelformat.py@.PATH_END.py |
{
"filename": "_x.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/surface/contours/_x.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class X(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "surface.contours"
_path_str = "surface.contours.x"
_valid_props = {
"color",
"end... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@surface@contours@_x.py@.PATH_END.py |
{
"filename": "_sizemin.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatter3d/marker/_sizemin.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeminValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="sizemin", parent_name="scatter3d.marker", **kwargs):
super(SizeminValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatter3d@marker@_sizemin.py@.PATH_END.py |
{
"filename": "run_lsd.ipynb",
"repo_name": "florian-lienhard/MM-LSD",
"repo_path": "MM-LSD_extracted/MM-LSD-main/notebooks/run_lsd.ipynb",
"type": "Jupyter Notebook"
} | ```python
import numpy as np
from pandas import read_csv, DataFrame, concat
import matplotlib.pyplot as plt
from matplotlib import rc,rcParams
from matplotlib.cm import rainbow
from matplotlib.colors import rgb2hex
from scipy.sparse import csc_matrix
from scipy.optimize import curve_fit
from scipy.stats import median... | florian-lienhardREPO_NAMEMM-LSDPATH_START.@MM-LSD_extracted@MM-LSD-main@notebooks@run_lsd.ipynb@.PATH_END.py |
{
"filename": "tfsa-2021-156.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/security/advisory/tfsa-2021-156.md",
"type": "Markdown"
} | ## TFSA-2021-156: Use of unitialized value in TFLite
### CVE Number
CVE-2021-37682
### Impact
All TFLite operations that use quantization can be made to use unitialized
values. [For
example](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/depthwise_conv.c... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@security@advisory@tfsa-2021-156.md@.PATH_END.py |
{
"filename": "words.md",
"repo_name": "youngjookim/sdr",
"repo_path": "sdr_extracted/sdr-master/Code/packages/tapkee-master/examples/words/words.md",
"type": "Markdown"
} | This example shows how Tapkee can be used with Python, thanks to the language
bindings provided by Shogun. The data consists of words from the English
vocabulary. These words belong to different grammar groups: there are several
common nouns (e.g. cowboy, dragon), adjectives (e.g. harmful), proper nouns such
as Rivera ... | youngjookimREPO_NAMEsdrPATH_START.@sdr_extracted@sdr-master@Code@packages@tapkee-master@examples@words@words.md@.PATH_END.py |
{
"filename": "_shadow.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattersmith/legendgrouptitle/font/_shadow.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShadowValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="shadow",
parent_name="scattersmith.legendgrouptitle.font",
**kwargs,
):
super(ShadowValidator, self).__init__(
plotly_na... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattersmith@legendgrouptitle@font@_shadow.py@.PATH_END.py |
{
"filename": "open_city_data.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/document_loaders/open_city_data.py",
"type": "Python"
} | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.document_loaders import OpenCityDataLoader
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imp... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@document_loaders@open_city_data.py@.PATH_END.py |
{
"filename": "toasim_seed.py",
"repo_name": "mattpitkin/tempo2",
"repo_path": "tempo2_extracted/tempo2-master/python/toasim/bin/toasim_seed.py",
"type": "Python"
} | #!/usr/bin/python
import sys
import hashlib
str="".join(sys.argv[1:])
m=hashlib.md5()
m.update(str)
hex=m.hexdigest()
print(int(hex,16)%(2**30))
| mattpitkinREPO_NAMEtempo2PATH_START.@tempo2_extracted@tempo2-master@python@toasim@bin@toasim_seed.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatter/marker/colorbar/tickformatstop/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._value import ValueValidator
from ._templateitemname import TemplateitemnameValidator
from ._name import NameValidator
from ._enabled import EnabledValidator
from ._dtickrange import DtickrangeValidator
else:
from _plotly_utils.importers import rel... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatter@marker@colorbar@tickformatstop@__init__.py@.PATH_END.py |
{
"filename": "_optimize.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/optimize/_optimize.py",
"type": "Python"
} | #__docformat__ = "restructuredtext en"
# ******NOTICE***************
# optimize.py module by Travis E. Oliphant
#
# You may copy and use this module as you see fit with no
# guarantee implied provided you keep this notice in all copies.
# *****END NOTICE************
# A collection of optimization algorithms. Version 0... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@optimize@_optimize.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "franciscovillaescusa/Pylians3",
"repo_path": "Pylians3_extracted/Pylians3-master/library/integration_library/setup.py",
"type": "Python"
} | from setuptools import setup
from setuptools.extension import Extension
from Cython.Distutils import build_ext
from Cython.Build import cythonize
import numpy
ext_modules = cythonize([
Extension("integration_library",
["integration_library.pyx",'integration.c'],
include_dirs=[numpy.get_include()],
extra_c... | franciscovillaescusaREPO_NAMEPylians3PATH_START.@Pylians3_extracted@Pylians3-master@library@integration_library@setup.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/sklearn/mixture/tests/__init__.py",
"type": "Python"
} | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@sklearn@mixture@tests@__init__.py@.PATH_END.py | |
{
"filename": "managerhelper.py",
"repo_name": "astroufsc/chimera",
"repo_path": "chimera_extracted/chimera-master/src/chimera/core/tests/managerhelper.py",
"type": "Python"
} | from chimera.core.chimeraobject import ChimeraObject
class ManagerHelper(ChimeraObject):
def __init__(self):
ChimeraObject.__init__(self)
def foo(self):
return 42
| astroufscREPO_NAMEchimeraPATH_START.@chimera_extracted@chimera-master@src@chimera@core@tests@managerhelper.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/waterfall/insidetextfont/__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@waterfall@insidetextfont@__init__.py@.PATH_END.py |
{
"filename": "data_structures.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/frontends/halo_catalog/data_structures.py",
"type": "Python"
} | import glob
import weakref
from collections import defaultdict
from functools import cached_property, partial
import numpy as np
from yt.data_objects.selection_objects.data_selection_objects import (
YTSelectionContainer,
)
from yt.data_objects.static_output import (
ParticleDataset,
ParticleFile,
)
from ... | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@frontends@halo_catalog@data_structures.py@.PATH_END.py |
{
"filename": "recipes_FLAT_IMAGE.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/geminidr/gmos/recipes/qa/recipes_FLAT_IMAGE.py",
"type": "Python"
} | """
Recipes available to data with tags ['GMOS', 'IMAGE', 'CAL', 'FLAT']
Default is "makeProcessedFlat".
"""
recipe_tags = {'GMOS', 'IMAGE', 'CAL', 'FLAT'}
def makeProcessedFlat(p):
"""
This recipe performs the standardization and corrections needed to
convert the raw input flat images into a single stacke... | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@geminidr@gmos@recipes@qa@recipes_FLAT_IMAGE.py@.PATH_END.py |
{
"filename": "sigmas.ipynb",
"repo_name": "dfm/corner.py",
"repo_path": "corner.py_extracted/corner.py-main/docs/pages/sigmas.ipynb",
"type": "Jupyter Notebook"
} | # A note about sigmas
We are regularly asked about the "sigma" levels in the 2D histograms. These are not the 68%, *etc.* values that we're used to for 1D distributions. In two dimensions, a Gaussian density is given by:
pdf(r) = exp(-(r/s)^2/2) / (2*pi*s^2)
The integral under this density (using polar coordinat... | dfmREPO_NAMEcorner.pyPATH_START.@corner.py_extracted@corner.py-main@docs@pages@sigmas.ipynb@.PATH_END.py |
{
"filename": "test_embeddings.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/partners/fireworks/tests/unit_tests/test_embeddings.py",
"type": "Python"
} | """Test embedding model integration."""
from langchain_fireworks.embeddings import FireworksEmbeddings
def test_initialization() -> None:
"""Test embedding model initialization."""
FireworksEmbeddings(model="nomic-ai/nomic-embed-text-v1.5")
| langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@partners@fireworks@tests@unit_tests@test_embeddings.py@.PATH_END.py |
{
"filename": "_color.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatterternary/textfont/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="scatterternary.textfont", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatterternary@textfont@_color.py@.PATH_END.py |
{
"filename": "_mesh3d.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/_mesh3d.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class Mesh3DValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="mesh3d", parent_name="", **kwargs):
super(Mesh3DValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_c... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@_mesh3d.py@.PATH_END.py |
{
"filename": "_symbolsrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattergeo/marker/_symbolsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SymbolsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="symbolsrc", parent_name="scattergeo.marker", **kwargs
):
super(SymbolsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattergeo@marker@_symbolsrc.py@.PATH_END.py |
{
"filename": "test_schechter.py",
"repo_name": "skypyproject/skypy",
"repo_path": "skypy_extracted/skypy-main/skypy/galaxies/tests/test_schechter.py",
"type": "Python"
} | import numpy as np
from astropy.cosmology import default_cosmology
def test_schechter_lf():
from pytest import raises
from skypy.galaxies import schechter_lf
from astropy import units
# redshift and magnitude distributions are tested separately
# only test that output is consistent here
# p... | skypyprojectREPO_NAMEskypyPATH_START.@skypy_extracted@skypy-main@skypy@galaxies@tests@test_schechter.py@.PATH_END.py |
{
"filename": "_locations.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/isosurface/slices/y/_locations.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LocationsValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self, plotly_name="locations", parent_name="isosurface.slices.y", **kwargs
):
super(LocationsValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@isosurface@slices@y@_locations.py@.PATH_END.py |
{
"filename": "test_vonkarman.py",
"repo_name": "GalSim-developers/GalSim",
"repo_path": "GalSim_extracted/GalSim-main/tests/test_vonkarman.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@tests@test_vonkarman.py@.PATH_END.py |
{
"filename": "test_doc.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/util/test_doc.py",
"type": "Python"
} | from textwrap import dedent
from pandas.util._decorators import doc
@doc(method="cumsum", operation="sum")
def cumsum(whatever):
"""
This is the {method} method.
It computes the cumulative {operation}.
"""
@doc(
cumsum,
dedent(
"""
Examples
--------
>>> cum... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@util@test_doc.py@.PATH_END.py |
{
"filename": "_uirevision.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/map/_uirevision.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="uirevision", parent_name="layout.map", **kwargs):
super(UirevisionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@map@_uirevision.py@.PATH_END.py |
{
"filename": "metricWrapper.py",
"repo_name": "lsstdesc/sn_pipe",
"repo_path": "sn_pipe_extracted/sn_pipe-master/run_scripts/metrics/metricWrapper.py",
"type": "Python"
} | import numpy as np
from sn_metrics.sn_snr_metric import SNSNRMetric
from sn_metrics.sn_cadence_metric import SNCadenceMetric
from sn_metrics.sn_obsrate_metric import SNObsRateMetric
from sn_metrics.sn_nsn_metric import SNNSNMetric
from sn_metrics.sn_sl_metric import SLSNMetric
from sn_tools.sn_cadence_tools import Refe... | lsstdescREPO_NAMEsn_pipePATH_START.@sn_pipe_extracted@sn_pipe-master@run_scripts@metrics@metricWrapper.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/isosurface/hoverlabel/_bgcolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="bgcolor", parent_name="isosurface.hoverlabel", **kwargs
):
super(BgcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@isosurface@hoverlabel@_bgcolor.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "exo-cesm/CESM2.1.3",
"repo_path": "CESM2.1.3_extracted/CESM2.1.3-main/Tidally_locked_exoplanets/cases/TP_1_e_SSPO_W21_10pc/README.md",
"type": "Markdown"
} | # TRAPPIST-1 e (W21 spectrum, 10% PAL of oxygen, with the substellar point over ocean) case setup instructions
## If setting the case up on ARC4:
run buildcase_TP_1_e_SSPO_W21_10pc. A case will be created with the name b.e21.BWma1850.f19_g17.TRAPPIST1_e.SSPO..W21.10pc_o2.my_case.001. Change the name in buildcase_TP_1... | exo-cesmREPO_NAMECESM2.1.3PATH_START.@CESM2.1.3_extracted@CESM2.1.3-main@Tidally_locked_exoplanets@cases@TP_1_e_SSPO_W21_10pc@README.md@.PATH_END.py |
{
"filename": "_thicknessmode.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/histogram2d/colorbar/_thicknessmode.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="thicknessmode", parent_name="histogram2d.colorbar", **kwargs
):
super(ThicknessmodeValidator, self).__init__(
plotly_name=plotly_name... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@histogram2d@colorbar@_thicknessmode.py@.PATH_END.py |
{
"filename": "_minexponent.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattergl/marker/colorbar/_minexponent.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MinexponentValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="minexponent",
parent_name="scattergl.marker.colorbar",
**kwargs
):
super(MinexponentValidator, self).__init__(
plot... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattergl@marker@colorbar@_minexponent.py@.PATH_END.py |
{
"filename": "test_invertible_resnet.py",
"repo_name": "vislearn/FrEIA",
"repo_path": "FrEIA_extracted/FrEIA-master/tests/test_invertible_resnet.py",
"type": "Python"
} | import unittest
import torch.optim
import sys
sys.path.append('../')
from FrEIA.modules import *
from FrEIA.framework import *
class ActNormTest(unittest.TestCase):
batch_size = 256
def test_linear(self):
torch.manual_seed(0)
inp_size_linear = (20,)
act_norm = ActNorm([inp_... | vislearnREPO_NAMEFrEIAPATH_START.@FrEIA_extracted@FrEIA-master@tests@test_invertible_resnet.py@.PATH_END.py |
{
"filename": "getting_started.ipynb",
"repo_name": "icecube/skyllh",
"repo_path": "skyllh_extracted/skyllh-master/doc/sphinx/tutorials/getting_started.ipynb",
"type": "Jupyter Notebook"
} | # Getting started
SkyLLH is a Python based framework to develop and to perform maximum likelihood ratio hypothesis testing.
The idea of SkyLLH is to provide a framework with a class structure that is tied to the mathematical objects of the likelihood functions.
Slack channel: [#skyllh](https://icecube-spno.slack.com... | icecubeREPO_NAMEskyllhPATH_START.@skyllh_extracted@skyllh-master@doc@sphinx@tutorials@getting_started.ipynb@.PATH_END.py |
{
"filename": "_legendwidth.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/heatmap/_legendwidth.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LegendwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="legendwidth", parent_name="heatmap", **kwargs):
super(LegendwidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@heatmap@_legendwidth.py@.PATH_END.py |
{
"filename": "_legendgroup.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/pie/_legendgroup.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="legendgroup", parent_name="pie", **kwargs):
super(LegendgroupValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@pie@_legendgroup.py@.PATH_END.py |
{
"filename": "adadelta.py",
"repo_name": "BRML/climin",
"repo_path": "climin_extracted/climin-master/climin/adadelta.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""This module provides an implementation of adadelta."""
from __future__ import absolute_import
from .base import Minimizer
from .mathadapt import sqrt, ones_like, clip
class Adadelta(Minimizer):
"""Adadelta optimizer.
Adadelta [zeiler2013adadelta]_ is a method that uses the magni... | BRMLREPO_NAMEcliminPATH_START.@climin_extracted@climin-master@climin@adadelta.py@.PATH_END.py |
{
"filename": "5_wavelength_binning_individual_wvl_solutions.ipynb",
"repo_name": "JamesKirk11/Tiberius",
"repo_path": "Tiberius_extracted/Tiberius-main/src/reduction_utils/ACAM_utils/example_notebooks/5_wavelength_binning_individual_wvl_solutions.ipynb",
"type": "Jupyter Notebook"
} | Now we can make the spectroscopic light curves given all spectra are aligned and the wavelength solution has been calculated.
```python
%matplotlib nbagg
```
```python
import numpy as np
import reduction_utils.wavelength_binning as wb
import reduction_utils.wavelength_calibration as wc
import matplotlib.pyplot as p... | JamesKirk11REPO_NAMETiberiusPATH_START.@Tiberius_extracted@Tiberius-main@src@reduction_utils@ACAM_utils@example_notebooks@5_wavelength_binning_individual_wvl_solutions.ipynb@.PATH_END.py |
{
"filename": "CHANGELOG.md",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/chart-studio/CHANGELOG.md",
"type": "Markdown"
} | # Change Log
All notable changes to this project will be documented in this file.
This project adheres to [Semantic Versioning](http://semver.org/).
## [1.1.0] - 2020-01-4-01
### Updated
- The default URLs have been changed from `plot.ly` to `plotly.com` to match the changes to Chart Studio Cloud.
## [1.0.0] - 2019... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@chart-studio@CHANGELOG.md@.PATH_END.py |
{
"filename": "afino_series.py",
"repo_name": "aringlis/afino_release_version",
"repo_path": "afino_release_version_extracted/afino_release_version-master/afino/afino_series.py",
"type": "Python"
} | """
A simple time series object
"""
import numpy as np
from matplotlib import pyplot as plt
class SampleTimes:
def __init__(self, time, label='time', units='seconds'):
"""A class holding time series sample times."""
# ensure that the initial time is zero
self.time = time - time[0]
... | aringlisREPO_NAMEafino_release_versionPATH_START.@afino_release_version_extracted@afino_release_version-master@afino@afino_series.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "QEF/q-e",
"repo_path": "q-e_extracted/q-e-master/EPW/irobjs/README.md",
"type": "Markdown"
} | # How to Install IR Object Files
To use `sparse-ir` sampling for anisotropic Migdal-Eliashberg calculations, set the input value `gridsamp` to 2 and specify the file containing the IR functions in `filirobj`.
By running the following command in this directory, you can download several files that contain precomputed ... | QEFREPO_NAMEq-ePATH_START.@q-e_extracted@q-e-master@EPW@irobjs@README.md@.PATH_END.py |
{
"filename": "gaindrifts.py",
"repo_name": "litebird/litebird_sim",
"repo_path": "litebird_sim_extracted/litebird_sim-master/litebird_sim/gaindrifts.py",
"type": "Python"
} | import numpy as np
import hashlib
from enum import IntEnum
from typing import Union, List
from dataclasses import dataclass
from .observations import Observation
class GainDriftType(IntEnum):
"""An enumeration class to specify the type of gain drift injection.
The gain drift type can be:
- ``LINEAR_GA... | litebirdREPO_NAMElitebird_simPATH_START.@litebird_sim_extracted@litebird_sim-master@litebird_sim@gaindrifts.py@.PATH_END.py |
{
"filename": "test_spectral_model_creation.py",
"repo_name": "andycasey/smhr",
"repo_path": "smhr_extracted/smhr-master/smh/tests/test_spectral_model_creation.py",
"type": "Python"
} | from __future__ import (division, print_function, absolute_import,
unicode_literals)
import os
from nose.tools import assert_equals, assert_almost_equals, ok_
from smh import Session, LineList
import smh.spectral_models as sm
datadir = os.path.dirname(os.path.abspath(__file__))+'/test_data'
s... | andycaseyREPO_NAMEsmhrPATH_START.@smhr_extracted@smhr-master@smh@tests@test_spectral_model_creation.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "CosmoStatGW/WF4Py",
"repo_path": "WF4Py_extracted/WF4Py-master/docs/README.md",
"type": "Markdown"
} | # WF4Py documentation
## Documentation requirements
In order to build the documentation, the following packages have to be installed
* [```sphinx```](<https://www.sphinx-doc.org/en/master>)
* [```sphinx_rtd_theme```](<https://sphinx-rtd-theme.readthedocs.io/en/stable/>)
* [```nbsphinx```](<https://nbsphinx.readthedo... | CosmoStatGWREPO_NAMEWF4PyPATH_START.@WF4Py_extracted@WF4Py-master@docs@README.md@.PATH_END.py |
{
"filename": "cirs.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/coordinates/builtin_frames/cirs.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from astropy.coordinates.attributes import EarthLocationAttribute, TimeAttribute
from astropy.coordinates.baseframe import base_doc
from astropy.utils.decorators import format_doc
from .baseradec import BaseRADecFrame, doc_components
from .utils import D... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@coordinates@builtin_frames@cirs.py@.PATH_END.py |
{
"filename": "_shadow.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/ternary/aaxis/tickfont/_shadow.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShadowValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="shadow",
parent_name="layout.ternary.aaxis.tickfont",
**kwargs,
):
super(ShadowValidator, self).__init__(
plotly_name=pl... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@ternary@aaxis@tickfont@_shadow.py@.PATH_END.py |
{
"filename": "ModelHParams.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/lite/g3doc/api_docs/python/tflite_model_maker/recommendation/spec/ModelHParams.md",
"type": "Markdown"
} | page_type: reference
description: Class to hold parameters for model architecture configuration.
<link rel="stylesheet" href="/site-assets/css/style.css">
<!-- DO NOT EDIT! Automatically generated file. -->
<div itemscope itemtype="http://developers.google.com/ReferenceObject">
<meta itemprop="name" content="tflite... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@lite@g3doc@api_docs@python@tflite_model_maker@recommendation@spec@ModelHParams.md@.PATH_END.py |
{
"filename": "decorators.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/numpy/py2/numpy/testing/_private/decorators.py",
"type": "Python"
} | """
Decorators for labeling and modifying behavior of test objects.
Decorators that merely return a modified version of the original
function object are straightforward. Decorators that return a new
function object need to use
::
nose.tools.make_decorator(original_function)(decorator)
in returning the decorator, i... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@numpy@py2@numpy@testing@_private@decorators.py@.PATH_END.py |
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