ply 3.4-3ubuntu1 source package in Ubuntu

Changelog

ply (3.4-3ubuntu1) trusty; urgency=medium

  * Enable test suite as part of package build:
    - d/rules: Execute lex and yacc tests for all python versions.
    - d/p/000*.patch: Cherry picked fixes from upstream VCS to resolve
      compatibility issues with Python >= 3.3.
 -- James Page <email address hidden>   Mon, 06 Jan 2014 12:13:44 +0000

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Uploaded by:
James Page
Uploaded to:
Trusty
Original maintainer:
Ubuntu Developers
Architectures:
all
Section:
python
Urgency:
Medium Urgency

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Series Pocket Published Component Section

Builds

Trusty: [FULLYBUILT] i386

Downloads

File Size SHA-256 Checksum
ply_3.4.orig.tar.gz 135.1 KiB af435f11b7bdd69da5ffbc3fecb8d70a7073ec952e101764c88720cdefb2546b
ply_3.4-3ubuntu1.debian.tar.gz 8.6 KiB 237413d06f8b1e7337f26969770128fe08b7990bd907f3e10ad11f0df668f307
ply_3.4-3ubuntu1.dsc 2.2 KiB 2f6a45e6e4b7d4f265fcc7a7c698e4745993199be8d3805cea2f905cb3321f6d

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Binary packages built by this source

python-ply: Lex and Yacc implementation for Python2

 PLY is yet another implementation of lex and yacc for
 Python. Although several other parsing tools are available for
 Python, there are several reasons why you might want to take a look
 at PLY:
  * It's implemented entirely in Python.
  * It uses LR-parsing which is reasonably efficient and well suited
    for larger grammars.
  * PLY provides most of the standard lex/yacc features including
    support for empty productions, precedence rules, error recovery,
    and support for ambiguous grammars.
  * PLY is extremely easy to use and provides very extensive error
    checking.

python-ply-doc: Lex and Yacc implementation for Python (documentation)

 PLY is yet another implementation of lex and yacc for
 Python.
 .
 This package contains the documentation for Ply.

python3-ply: Lex and Yacc implementation for Python3

 PLY is yet another implementation of lex and yacc for
 Python. Although several other parsing tools are available for
 Python, there are several reasons why you might want to take a look
 at PLY:
  * It's implemented entirely in Python.
  * It uses LR-parsing which is reasonably efficient and well suited
    for larger grammars.
  * PLY provides most of the standard lex/yacc features including
    support for empty productions, precedence rules, error recovery,
    and support for ambiguous grammars.
  * PLY is extremely easy to use and provides very extensive error
    checking.