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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_str(message):
if not isinstance(message, str):
return message
message = message.strip()
# collapse whitespaces (including newlines) into one space.
message = re.sub("\s+", " ", message)
return message
def normalize(message):
if isinstance(message, str):
return normalize_str(message)
elif isinstance(message, tuple):
return tuple([normalize_str(x) for x in 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:
yield lineno, funcname, normalize(message), comments
def wrap_gettext(f):
"""
Call gettext with whitespace normalized.
"""
def wrapper(message):
message = normalize(message)
return f(message)
return wrapper
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