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86 lines
2.8 KiB
Python
86 lines
2.8 KiB
Python
"""This module implements the WordSub class, modelled after a recipe
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in "Python Cookbook" (Recipe 3.14, "Replacing Multiple Patterns in a
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Single Pass" by Xavier Defrang).
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Usage:
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Use this class like a dictionary to add before/after pairs:
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> subber = TextSub()
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> subber["before"] = "after"
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> subber["begin"] = "end"
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Use the sub() method to perform the substitution:
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> print( subber.sub("before we begin") )
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after we end
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All matching is intelligently case-insensitive:
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> print( subber.sub("Before we BEGIN") )
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After we END
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The 'before' words must be complete words -- no prefixes.
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The following example illustrates this point:
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> subber["he"] = "she"
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> print( subber.sub("he says he'd like to help her") )
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she says she'd like to help her
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Note that "he" and "he'd" were replaced, but "help" and "her" were
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not.
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"""
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from __future__ import print_function
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# 'dict' objects weren't available to subclass from until version 2.2.
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# Get around this by importing UserDict.UserDict if the built-in dict
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# object isn't available.
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try: dict
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except: from UserDict import UserDict as dict
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import re
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import string
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try:
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from ConfigParser import ConfigParser
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except ImportError:
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from configparser import ConfigParser
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class WordSub(dict):
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"""All-in-one multiple-string-substitution class."""
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def _wordToRegex(self, word):
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"""Convert a word to a regex object which matches the word."""
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if word != "" and word[0].isalpha() and word[-1].isalpha():
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return "\\b%s\\b" % re.escape(word)
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else:
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return r"\b%s\b" % re.escape(word)
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def _update_regex(self):
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"""Build re object based on the keys of the current
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dictionary.
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"""
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self._regex = re.compile("|".join(map(self._wordToRegex, self.keys())))
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self._regexIsDirty = False
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def __init__(self, defaults = {}):
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"""Initialize the object, and populate it with the entries in
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the defaults dictionary.
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"""
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self._regex = None
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self._regexIsDirty = True
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for k,v in defaults.items():
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self[k] = v
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def __call__(self, match):
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"""Handler invoked for each regex match."""
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return self[match.group(0)]
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def __setitem__(self, i, y):
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self._regexIsDirty = True
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# for each entry the user adds, we actually add three entrys:
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super(type(self),self).__setitem__(i.lower(),y.lower()) # key = value
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super(type(self),self).__setitem__(string.capwords(i), string.capwords(y)) # Key = Value
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super(type(self),self).__setitem__(i.upper(), y.upper()) # KEY = VALUE
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def sub(self, text):
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"""Translate text, returns the modified text."""
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if self._regexIsDirty:
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self._update_regex()
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return self._regex.sub(self, text)
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