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%global _empty_manifest_terminate_build 0
Name: python-dirtyjson
Version: 1.0.8
Release: 1
Summary: JSON decoder for Python that can extract data from the muck
License: MIT License
URL: https://github.com/codecobblers/dirtyjson
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/db/04/d24f6e645ad82ba0ef092fa17d9ef7a21953781663648a01c9371d9e8e98/dirtyjson-1.0.8.tar.gz
BuildArch: noarch
%description
Decode JSON data from dirty files.
JSON (JavaScript Object Notation) <http://json.org> is a subset of JavaScript
syntax (ECMA-262 3rd edition) used as a lightweight data interchange format.
`dirtyjson` is a JSON decoder meant for extracting JSON-type data from .js
files. The returned data structure includes information about line and column
numbers, so you can output more useful error messages. The input can also
include single quotes, line comments, inline comments, dangling commas,
unquoted single-word keys, and hexadecimal and octal numbers.
The goal of `dirtyjson` is to read JSON objects out of files that are
littered with elements that do not fit the official JSON standard. By providing
line and column number contexts, a dirty JSON file can be used as source input
for a complex data parser or compiler.
`dirtyjson` exposes an API familiar to users of the standard library
`marshal` and `pickle` modules. However, `dirtyjson` provides
only the `load(s)` capability. To write JSON, use either the standard
`json` library or `simplejson`.
The code for `dirtyjson` is a fairly drastically rewritten version
of the loader in `simplejson` so thanks go to Bob Ippolito of the
`simplejson` project for providing such a nice starting point.
Development of dirtyjson happens on Github:
https://github.com/codecobblers/dirtyjson
Decoding JSON and getting position information::
>>> import dirtyjson
>>> obj = [u'foo', {u'bar': [u'baz', None, 1.0, 2]}]
>>> d = dirtyjson.loads("""["foo", /* not fu*/ {bar: ['baz', null, 1.0, 2,]}] and then ignore this junk""")
>>> d == obj
True
>>> pos = d.attributes(0) # line/column position of first element in array
>>> pos.line == 1
True
>>> pos.column == 2
True
>>> pos = d[1].attributes('bar') # line/column position of 'bar' key/value pair
>>> pos.key.line == 1
True
>>> pos.key.column == 22
True
>>> pos.value.line == 1
True
>>> pos.value.column == 27
True
Decoding unicode from JSON::
>>> dirtyjson.loads('"\\"foo\\bar"') == u'"foo\x08ar'
True
Decoding JSON from streams::
>>> from dirtyjson.compat import StringIO
>>> io = StringIO('["streaming API"]')
>>> dirtyjson.load(io)[0] == 'streaming API'
True
Using Decimal instead of float::
>>> import dirtyjson
>>> from decimal import Decimal
>>> dirtyjson.loads('1.1', parse_float=Decimal) == Decimal('1.1')
True
%package -n python3-dirtyjson
Summary: JSON decoder for Python that can extract data from the muck
Provides: python-dirtyjson
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-dirtyjson
Decode JSON data from dirty files.
JSON (JavaScript Object Notation) <http://json.org> is a subset of JavaScript
syntax (ECMA-262 3rd edition) used as a lightweight data interchange format.
`dirtyjson` is a JSON decoder meant for extracting JSON-type data from .js
files. The returned data structure includes information about line and column
numbers, so you can output more useful error messages. The input can also
include single quotes, line comments, inline comments, dangling commas,
unquoted single-word keys, and hexadecimal and octal numbers.
The goal of `dirtyjson` is to read JSON objects out of files that are
littered with elements that do not fit the official JSON standard. By providing
line and column number contexts, a dirty JSON file can be used as source input
for a complex data parser or compiler.
`dirtyjson` exposes an API familiar to users of the standard library
`marshal` and `pickle` modules. However, `dirtyjson` provides
only the `load(s)` capability. To write JSON, use either the standard
`json` library or `simplejson`.
The code for `dirtyjson` is a fairly drastically rewritten version
of the loader in `simplejson` so thanks go to Bob Ippolito of the
`simplejson` project for providing such a nice starting point.
Development of dirtyjson happens on Github:
https://github.com/codecobblers/dirtyjson
Decoding JSON and getting position information::
>>> import dirtyjson
>>> obj = [u'foo', {u'bar': [u'baz', None, 1.0, 2]}]
>>> d = dirtyjson.loads("""["foo", /* not fu*/ {bar: ['baz', null, 1.0, 2,]}] and then ignore this junk""")
>>> d == obj
True
>>> pos = d.attributes(0) # line/column position of first element in array
>>> pos.line == 1
True
>>> pos.column == 2
True
>>> pos = d[1].attributes('bar') # line/column position of 'bar' key/value pair
>>> pos.key.line == 1
True
>>> pos.key.column == 22
True
>>> pos.value.line == 1
True
>>> pos.value.column == 27
True
Decoding unicode from JSON::
>>> dirtyjson.loads('"\\"foo\\bar"') == u'"foo\x08ar'
True
Decoding JSON from streams::
>>> from dirtyjson.compat import StringIO
>>> io = StringIO('["streaming API"]')
>>> dirtyjson.load(io)[0] == 'streaming API'
True
Using Decimal instead of float::
>>> import dirtyjson
>>> from decimal import Decimal
>>> dirtyjson.loads('1.1', parse_float=Decimal) == Decimal('1.1')
True
%package help
Summary: Development documents and examples for dirtyjson
Provides: python3-dirtyjson-doc
%description help
Decode JSON data from dirty files.
JSON (JavaScript Object Notation) <http://json.org> is a subset of JavaScript
syntax (ECMA-262 3rd edition) used as a lightweight data interchange format.
`dirtyjson` is a JSON decoder meant for extracting JSON-type data from .js
files. The returned data structure includes information about line and column
numbers, so you can output more useful error messages. The input can also
include single quotes, line comments, inline comments, dangling commas,
unquoted single-word keys, and hexadecimal and octal numbers.
The goal of `dirtyjson` is to read JSON objects out of files that are
littered with elements that do not fit the official JSON standard. By providing
line and column number contexts, a dirty JSON file can be used as source input
for a complex data parser or compiler.
`dirtyjson` exposes an API familiar to users of the standard library
`marshal` and `pickle` modules. However, `dirtyjson` provides
only the `load(s)` capability. To write JSON, use either the standard
`json` library or `simplejson`.
The code for `dirtyjson` is a fairly drastically rewritten version
of the loader in `simplejson` so thanks go to Bob Ippolito of the
`simplejson` project for providing such a nice starting point.
Development of dirtyjson happens on Github:
https://github.com/codecobblers/dirtyjson
Decoding JSON and getting position information::
>>> import dirtyjson
>>> obj = [u'foo', {u'bar': [u'baz', None, 1.0, 2]}]
>>> d = dirtyjson.loads("""["foo", /* not fu*/ {bar: ['baz', null, 1.0, 2,]}] and then ignore this junk""")
>>> d == obj
True
>>> pos = d.attributes(0) # line/column position of first element in array
>>> pos.line == 1
True
>>> pos.column == 2
True
>>> pos = d[1].attributes('bar') # line/column position of 'bar' key/value pair
>>> pos.key.line == 1
True
>>> pos.key.column == 22
True
>>> pos.value.line == 1
True
>>> pos.value.column == 27
True
Decoding unicode from JSON::
>>> dirtyjson.loads('"\\"foo\\bar"') == u'"foo\x08ar'
True
Decoding JSON from streams::
>>> from dirtyjson.compat import StringIO
>>> io = StringIO('["streaming API"]')
>>> dirtyjson.load(io)[0] == 'streaming API'
True
Using Decimal instead of float::
>>> import dirtyjson
>>> from decimal import Decimal
>>> dirtyjson.loads('1.1', parse_float=Decimal) == Decimal('1.1')
True
%prep
%autosetup -n dirtyjson-1.0.8
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-dirtyjson -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.8-1
- Package Spec generated
|
