scorep-jupyter

View on PyPIReverse Dependencies (0)

0.6.0 scorep_jupyter-0.6.0-py3-none-any.whl

Wheel Details

Project: scorep-jupyter
Version: 0.6.0
Filename: scorep_jupyter-0.6.0-py3-none-any.whl
Download: [link]
Size: 13857
MD5: ffa4a664d69082aa3483cb0464dcbc93
SHA256: eb1342e15c7762d21a90260ee2b23837645233954c735d02a681a2fdc4e369b5
Uploaded: 2024-01-22 15:18:22 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: scorep-jupyter
Version: 0.6.0
Summary: This is the Score-P Python Kernel that enables you to execute Python code in Jupyter Notebooks with Score-P. The kernel is based on the Score-P Python bindings.
Author-Email: Elias Werner <elias.werner[at]tu-dresden.de>
Project-Url: homepage, https://github.com/score-p/scorep_jupyter_kernel_python
Project-Url: repository, https://github.com/score-p/scorep_jupyter_kernel_python
License: Copyright (c) 2022, Technische Universitaet Dresden, Germany, all rights reserved. Author: Elias Werner Copyright 2017-2020, Technische Universitaet Dresden, Germany, all rights reserved. Author: Andreas Gocht portions copyright 2001, Autonomous Zones Industries, Inc., all rights... err... reserved and offered to the public under the terms of the Python 2.2 license. Author: Zooko O'Whielacronx http://zooko.com/ mailto:zooko@zooko.com Copyright 2000, Mojam Media, Inc., all rights reserved. Author: Skip Montanaro Copyright 1999, Bioreason, Inc., all rights reserved. Author: Andrew Dalke Copyright 1995-1997, Automatrix, Inc., all rights reserved. Author: Skip Montanaro Copyright 1991-1995, Stichting Mathematisch Centrum, all rights reserved. Permission to use, copy, modify, and distribute this Python software and its associated documentation for any purpose without fee is hereby granted, provided that the above copyright notice appears in all copies, and that both that copyright notice and this permission notice appear in supporting documentation, and that the name of neither Automatrix, Bioreason, Mojam Media or TU Dresden be used in advertising or publicity pertaining to distribution of the software without specific, written prior permission. Copyright (c) 2014, Simon Percivall All rights reserved. Copyright (c) 2008-Present, IPython Development Team Copyright (c) 2001-2007, Fernando Perez <fernando.perez@colorado.edu> Copyright (c) 2001, Janko Hauser <jhauser@zscout.de> Copyright (c) 2001, Nathaniel Gray <n8gray@caltech.edu> Copyright (c) 2001-2015, IPython Development Team Copyright (c) 2015-, Jupyter Development Team All rights reserved. Copyright (c) 2004-2016 California Institute of Technology. Copyright (c) 2016-2022 The Uncertainty Quantification Foundation. All rights reserved. This software is available subject to the conditions and terms laid out below. By downloading and using this software you are agreeing to the following conditions. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:: - Redistribution of source code must retain the above copyright notice, this list of conditions and the following disclaimer. - Redistribution in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentations and/or other materials provided with the distribution. - Neither the names of the copyright holders nor the names of any of the contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.8
Requires-Dist: ipykernel
Requires-Dist: jupyter-client
Requires-Dist: astunparse
Requires-Dist: scorep
Requires-Dist: dill
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 7548 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.42.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
scorep_jupyter/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
scorep_jupyter/install.py sha256=x3_KY2XsbmFZ4S3iDZQs_UzJv6sFBru4ZcOQkbmeXjk 708
scorep_jupyter/kernel.py sha256=AiBdomLIJ3A4x5Cc0uc6mLw2nEKbYBmNblJGcx0Zx88 17739
scorep_jupyter/userpersistence.py sha256=oCOG5O2_sJdehS5fhBphOqOIxCp_AE3bcpgOzvln5aU 3032
scorep_jupyter-0.6.0.dist-info/LICENSE sha256=QXF91qrE32N_WRqmAH0U-04hLinILIYFL8s4k8CYH3Q 3470
scorep_jupyter-0.6.0.dist-info/METADATA sha256=VEB1rofCB4ukJ11noBtDMC1Dp4H66LrBfbm2NQD51JE 12363
scorep_jupyter-0.6.0.dist-info/WHEEL sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM 92
scorep_jupyter-0.6.0.dist-info/top_level.txt sha256=A4GMc8NK74beKAeSDPjBWn0wh30QfPxR9b0JngTafg0 15
scorep_jupyter-0.6.0.dist-info/RECORD

top_level.txt

scorep_jupyter