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chore: import upstream snapshot with attribution
2026-07-13 12:16:49 +08:00

49 lines
1.5 KiB
Python

#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from __future__ import annotations
import re
import unicodedata
ARABIC_PRESENTATION_FORMS_RE = re.compile(r"[\uFB50-\uFDFF\uFE70-\uFEFF]")
def normalize_arabic_digits(text: str | None) -> str | None:
if text is None or not isinstance(text, str):
return text
out = []
for ch in text:
code = ord(ch)
if 0x0660 <= code <= 0x0669:
out.append(chr(code - 0x0660 + 0x30))
elif 0x06F0 <= code <= 0x06F9:
out.append(chr(code - 0x06F0 + 0x30))
else:
out.append(ch)
return "".join(out)
def normalize_arabic_presentation_forms(text: str | None) -> str | None:
"""Normalize Arabic presentation forms to canonical text when present."""
if text is None or not isinstance(text, str):
return text
if not ARABIC_PRESENTATION_FORMS_RE.search(text):
return text
return unicodedata.normalize("NFKC", text)