annotate env/lib/python3.7/site-packages/pyparsing-2.4.7.dist-info/METADATA @ 4:79f47841a781 draft

"planemo upload commit 2a0fe2cc28b09e101d37293e53e82f61762262ec"
author shellac
date Thu, 14 May 2020 16:47:39 -0400
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1 Metadata-Version: 2.1
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2 Name: pyparsing
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3 Version: 2.4.7
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4 Summary: Python parsing module
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5 Home-page: https://github.com/pyparsing/pyparsing/
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6 Author: Paul McGuire
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7 Author-email: ptmcg@users.sourceforge.net
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8 License: MIT License
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9 Download-URL: https://pypi.org/project/pyparsing/
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10 Platform: UNKNOWN
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11 Classifier: Development Status :: 5 - Production/Stable
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12 Classifier: Intended Audience :: Developers
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13 Classifier: Intended Audience :: Information Technology
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14 Classifier: License :: OSI Approved :: MIT License
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15 Classifier: Operating System :: OS Independent
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16 Classifier: Programming Language :: Python
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17 Classifier: Programming Language :: Python :: 2
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18 Classifier: Programming Language :: Python :: 2.6
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19 Classifier: Programming Language :: Python :: 2.7
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20 Classifier: Programming Language :: Python :: 3
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21 Classifier: Programming Language :: Python :: 3.3
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22 Classifier: Programming Language :: Python :: 3.4
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23 Classifier: Programming Language :: Python :: 3.5
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24 Classifier: Programming Language :: Python :: 3.6
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25 Classifier: Programming Language :: Python :: 3.7
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26 Classifier: Programming Language :: Python :: 3.8
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27 Requires-Python: >=2.6, !=3.0.*, !=3.1.*, !=3.2.*
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28
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29 PyParsing -- A Python Parsing Module
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30 ====================================
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31
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32 |Build Status|
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33
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34 Introduction
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35 ============
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36
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37 The pyparsing module is an alternative approach to creating and
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38 executing simple grammars, vs. the traditional lex/yacc approach, or the
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39 use of regular expressions. The pyparsing module provides a library of
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40 classes that client code uses to construct the grammar directly in
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41 Python code.
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42
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43 *[Since first writing this description of pyparsing in late 2003, this
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44 technique for developing parsers has become more widespread, under the
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45 name Parsing Expression Grammars - PEGs. See more information on PEGs at*
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46 https://en.wikipedia.org/wiki/Parsing_expression_grammar *.]*
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47
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48 Here is a program to parse ``"Hello, World!"`` (or any greeting of the form
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49 ``"salutation, addressee!"``):
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50
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51 .. code:: python
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52
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53 from pyparsing import Word, alphas
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54 greet = Word(alphas) + "," + Word(alphas) + "!"
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55 hello = "Hello, World!"
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56 print(hello, "->", greet.parseString(hello))
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57
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58 The program outputs the following::
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59
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60 Hello, World! -> ['Hello', ',', 'World', '!']
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61
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62 The Python representation of the grammar is quite readable, owing to the
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63 self-explanatory class names, and the use of '+', '|' and '^' operator
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64 definitions.
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65
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66 The parsed results returned from ``parseString()`` can be accessed as a
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67 nested list, a dictionary, or an object with named attributes.
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68
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69 The pyparsing module handles some of the problems that are typically
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70 vexing when writing text parsers:
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71
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72 - extra or missing whitespace (the above program will also handle ``"Hello,World!"``, ``"Hello , World !"``, etc.)
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73 - quoted strings
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74 - embedded comments
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75
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76 The examples directory includes a simple SQL parser, simple CORBA IDL
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77 parser, a config file parser, a chemical formula parser, and a four-
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78 function algebraic notation parser, among many others.
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79
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80 Documentation
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81 =============
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82
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83 There are many examples in the online docstrings of the classes
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84 and methods in pyparsing. You can find them compiled into online docs
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85 at https://pyparsing-docs.readthedocs.io/en/latest/. Additional
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86 documentation resources and project info are listed in the online
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87 GitHub wiki, at https://github.com/pyparsing/pyparsing/wiki. An
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88 entire directory of examples is at
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89 https://github.com/pyparsing/pyparsing/tree/master/examples.
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90
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91 License
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92 =======
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93
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94 MIT License. See header of pyparsing.py
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95
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96 History
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97 =======
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98
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99 See CHANGES file.
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100
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101 .. |Build Status| image:: https://travis-ci.org/pyparsing/pyparsing.svg?branch=master
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102 :target: https://travis-ci.org/pyparsing/pyparsing
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103
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104