space-ios/Libraries external/uchardet/script/langs/pt.py

#!/bin/python3
# -*- coding: utf-8 -*-

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# Version: MPL 1.1/GPL 2.0/LGPL 2.1
#
# The contents of this file are subject to the Mozilla Public License Version
# 1.1 (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
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# The Original Code is Mozilla Universal charset detector code.
#
# The Initial Developer of the Original Code is
# Netscape Communications Corporation.
# Portions created by the Initial Developer are Copyright (C) 2001
# the Initial Developer. All Rights Reserved.
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# Contributor(s):
#          Jehan <jehan@girinstud.io>
#
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import re

## Mandatory Properties ##

# The human name for the language, in English.
name = 'Portuguese'
# Use 2-letter ISO 639-1 if possible, 3-letter ISO code otherwise,
# or use another catalog as a last resort.
code = 'pt'
# ASCII characters are also used in French.
use_ascii = True
# The charsets we want to support and create data for.
charsets = ['ISO-8859-15', 'ISO-8859-1', 'WINDOWS-1252', 'ISO-8859-9']

## Optional Properties ##

# Alphabet characters.
# If use_ascii=True, there is no need to add any ASCII characters.
# If case_mapping=True, there is no need to add several cases of a same
# character (provided Python algorithms know the right cases).
alphabet = 'áâãàçéêíóôõú'
# The starred page which was rewarded on the main page when I created
# the data.
start_pages = ['Papagaio-das-mascarenhas']
# give possibility to select another code for the Wikipedia URL.
wikipedia_code = code
# 'a' and 'A' will be considered the same character, and so on.
# This uses Python algorithm to determine upper/lower-case of a given
# character.
case_mapping = True

# A function to clean content returned by the `wikipedia` python lib,
# in case some unwanted data has been overlooked.
# Note that we are already cleaning away the '=' from the title syntax
# of Wikipedia, as well as double spaces. But sometimes, Wikipedia in
# some language may return weird syntax or UI text which should be
# discarded. If you encounter one of these cases, use this function.
def clean_wikipedia_content(content):
    # Do your garbage text cleaning here.
    return content