Accepting request 707276 from home:jengelh:branches:devel:languages:python
- Trim encyclopedic JSON report from description. OBS-URL: https://build.opensuse.org/request/show/707276 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python/python-python-cjson?expand=0&rev=3
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Mon Jun 3 17:56:51 UTC 2019 - Jan Engelhardt <jengelh@inai.de>
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- Trim encyclopedic JSON report from description.
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-------------------------------------------------------------------
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Sat May 11 02:13:29 UTC 2019 - John Vandenberg <jayvdb@gmail.com>
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@@ -12,38 +12,34 @@
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via http://bugs.opensuse.org/
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# Please submit bugfixes or comments via https://bugs.opensuse.org/
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#
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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Name: python-python-cjson
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Version: 1.2.1
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Release: 0
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Summary: C-accelerated JSON encoder/decoder for Python
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License: LGPL-2.0-or-later
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Summary: Fast JSON encoder/decoder for Python
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Url: https://github.com/AGProjects/python-cjson
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Group: Development/Languages/Python
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Url: https://github.com/AGProjects/python-cjson
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Source: https://files.pythonhosted.org/packages/source/p/python-cjson/python-cjson-%{version}.tar.gz
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# https://github.com/AGProjects/python-cjson/issues/6
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Patch0: py3.patch
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BuildRequires: python-rpm-macros
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BuildRequires: %{python_module devel}
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BuildRequires: %{python_module setuptools}
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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%python_subpackages
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%description
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Fast JSON encoder/decoder for Python.
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JSON stands for JavaScript Object Notation and is a text based lightweight data
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exchange format which is easy for humans to read/write and for machines to
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parse/generate. JSON is completely language independent and has multiple
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implementations in most of the programming languages, making it ideal for data
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exchange and storage.
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JSON (JavaScript Object Notation) is a text-based data exchange
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format.
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The module is written in C and it is up to 250 times faster when compared to
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the other python JSON implementations which are written directly in python.
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the other Python JSON implementations which are written directly in Python.
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This speed gain varies with the complexity of the data and the operation and is
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the the range of 10-200 times for encoding operations and in the range of
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100-250 times for decoding operations.
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