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#!/usr/bin/env python3
# Copyright (C) 2017, 2018 GNUnet e.V.
# Copying and distribution of this file, with or without modification,
# are permitted in any medium without royalty provided the copyright
# notice and this notice are preserved. This file is offered as-is,
# without any warranty.
Extract translations from a Jinja2 template, stripping leading newlines.
@author Florian Dold
import re
import jinja2.ext
def normalize(message):
message = message.strip()
# collapse whitespaces (including newlines) into one space.
message = re.sub("\s+", " ", message)
return message
def babel_extract(fileobj, keywords, comment_tags, options):
res = jinja2.ext.babel_extract(fileobj, keywords, comment_tags, options)
for lineno, funcname, message, comments in res:
message = normalize(message)
yield lineno, funcname, message, comments
def wrap_gettext(f):
Call gettext with whitespace normalized.
def wrapper(message):
message = normalize(message)
return f(message)
return wrapper