Changeset 156

Show
Ignore:
Timestamp:
05/07/06 10:36:42 (2 years ago)
Author:
xi
Message:

Final touches before the initial release.

Files:

Legend:

Unmodified
Added
Removed
Modified
Copied
Moved

  • pyyaml/trunk/Makefile

    r59 r156  
    11 
    2 .PHONY: default build force install test dist-src clean 
     2.PHONY: default build force install test dist clean 
    33 
    44PYTHON=/usr/bin/python 
    …… 
    1818        ${PYTHON} tests/test_build.py ${TEST} 
    1919 
    20 dist-src: 
     20dist: build 
    2121        ${PYTHON} setup.py sdist --formats=zip,gztar 
     22        ${PYTHON} setup.py bdist_wininst 
    2223 
    2324clean: 

  • pyyaml/trunk/README

    r149 r156  
    55For more information, check the PyYAML homepage: 
    66'http://pyyaml.org/wiki/PyYAML'. 
     7 
     8Documentation (rough and incomplete though): 
     9'http://pyyaml.org/wiki/PyYAMLDocumentation'. 
    710 
    811Post your questions and opinions to the YAML-Core mailing list: 

  • pyyaml/trunk/setup.py

    r150 r156  
    11 
    22NAME = 'PyYAML' 
    3 VERSION = '3.0' 
     3VERSION = '3.01' 
    44DESCRIPTION = "YAML parser and emitter for Python" 
    55LONG_DESCRIPTION = """\ 
    66YAML is a data serialization format designed for human readability and 
    7 interaction with scripting languages.  PyYAML is a YAML parser and emitter 
    8 for Python. 
     7interaction with scripting languages.  PyYAML is a YAML parser and 
     8emitter for Python. 
    99 
    10 PyYAML features a complete YAML 1.1 parser, Unicode support, event-based parser 
    11 and emitter (like SAX), API for serializing and deserializing Python objects 
    12 (like DOM or pickle).  PyYAML supports all tags from the YAML types repository 
    13 and allows you to extend it easily. 
     10PyYAML features a complete YAML 1.1 parser, Unicode support, pickle 
     11support, capable extension API, and sensible error messages.  PyYAML 
     12supports standard YAML tags and provides Python-specific tags that allow 
     13to represent an arbitrary Python object. 
    1414 
    15 PyYAML is applicable for a broad range of tasks from configuration files to 
    16 object persistance.""" 
     15PyYAML is applicable for a broad range of tasks from complex 
     16configuration files to object serialization and persistance.""" 
    1717AUTHOR = "Kirill Simonov" 
    1818AUTHOR_EMAIL = 'xi@resolvent.net'