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pyparsing module - Classes and methods to define and execute parsing
grammars

The pyparsing module is an alternative approach to creating and executing
simple grammars,
vs. the traditional lex/yacc approach, or the use of regular expressions. 
With pyparsing, you
don't need to learn a new syntax for defining grammars or matching
expressions - the parsing module
provides a library of classes that you use to construct the grammar
directly in Python.

Here is a program to parse "Hello, World!" (or any greeting of
the form C{"<salutation>, <addressee>!"})::

    from pyparsing import Word, alphas

    # define grammar of a greeting
    greet = Word( alphas ) + "," + Word( alphas ) + "!"

    hello = "Hello, World!"
    print hello, "->", greet.parseString( hello )

The program outputs the following::

    Hello, World! -> ['Hello', ',',
'World', '!']

The Python representation of the grammar is quite readable, owing to the
self-explanatory
class names, and the use of '+', '|' and '^'
operators.

The parsed results returned from C{parseString()} can be accessed as a
nested list, a dictionary, or an
object with named attributes.

The pyparsing module handles some of the problems that are typically vexing
when writing text parsers:
 - extra or missing whitespace (the above program will also handle
"Hello,World!", "Hello  ,  World  !", etc.)
 - quoted strings
 - embedded comments
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cCs#tt|�j|�t|_dS(N(R�RR�R�R((R�R((s-/usr/lib/python2.7/site-packages/pyparsing.pyR��scCsTx9t|�D]+\}}t|�dkr1q
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csr|rct|�dkr'�|d>qnt|j��}�tg|D]}t|�^qF�>n�t�>dS(Nii(R�R}R�RRR(RgRIRttflatttt(trep(s-/usr/lib/python2.7/site-packages/pyparsing.pytcopyTokenToRepeaterks*R7(R
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           matchExpr = first + ":" + second
       will match C{"1:1"}, but not C{"1:2"}.  Because
this matches by
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cs8t|j����fd�}�j|dt�dS(Ncs7t|j��}|�kr3tddd��ndS(NRi(R}R�R(RgRIRttheseTokens(tmatchTokens(s-/usr/lib/python2.7/site-packages/pyparsing.pytmustMatchTheseTokens�sR7(R}R�ROR�(RgRIRRa(R](R`s-/usr/lib/python2.7/site-packages/pyparsing.pyR^�sR7(R
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literals
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Regex
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C{caseless=True}, or
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to easily and clearly define a dictionary by specifying the respective
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or punctuation,
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text.  The value
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C{L{keepOriginalText}}, and does not
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returns a 
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return value is a 
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matched, and a 
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string.  So if 
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"abcdefghijklmnopqrstuvwxyz"
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tags such as
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Specify the list
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