Hello community, here is the log from the commit of package python-textX for openSUSE:Factory checked in at 2018-02-26 23:25:29 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Comparing /work/SRC/openSUSE:Factory/python-textX (Old) and /work/SRC/openSUSE:Factory/.python-textX.new (New) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-textX" Mon Feb 26 23:25:29 2018 rev:2 rq:579970 version:1.6.1 Changes: -------- --- /work/SRC/openSUSE:Factory/python-textX/python-textX.changes 2018-02-19 13:02:14.051337046 +0100 +++ /work/SRC/openSUSE:Factory/.python-textX.new/python-textX.changes 2018-02-26 23:25:31.829517302 +0100 @@ -1,0 +2,5 @@ +Sun Feb 18 18:52:02 UTC 2018 - [email protected] + +- Compact description + +------------------------------------------------------------------- ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Other differences: ------------------ ++++++ python-textX.spec ++++++ --- /var/tmp/diff_new_pack.13zkes/_old 2018-02-26 23:25:32.885479326 +0100 +++ /var/tmp/diff_new_pack.13zkes/_new 2018-02-26 23:25:32.889479181 +0100 @@ -52,16 +52,13 @@ textX is a meta-language for building Domain-Specific Languages (DSLs) in Python. It is inspired by Xtext. -In a nutshell, textX will help you build your textual language in an easy way. -You can invent your own language or build a support for already existing -textual language or file format. - From a single language description (grammar), textX will build a -parser and a meta-model (a.k.a. abstract syntax) for the language. -See the docs for the details. +parser and a meta-model (a.k.a. abstract syntax) for textual +languages. Own languages can be invented or support for already +existing textual language or file format be built. -textX follows the syntax and semantics of Xtext but differs in some places -and is implemented 100% in Python using Arpeggio PEG parser - no grammar +textX follows the syntax and semantics of Xtext, but differs in some places +and is implemented in Python using the Arpeggio PEG parser - no grammar ambiguities, unlimited lookahead, interpreter style of work. %prep
