| # -*- coding: utf-8 -*- | |
| # SPDX-FileCopyrightText: 2016-2025 PyThaiNLP Project | |
| # SPDX-FileType: SOURCE | |
| # SPDX-License-Identifier: Apache-2.0 | |
| # ruff: noqa: C901 | |
| from typing import List | |
| def remove_repeated_ngrams(string_list: List[str], n: int = 2) -> List[str]: | |
| """ | |
| Remove repeated n-grams | |
| :param List[str] string_list: List of string | |
| :param int n: n-gram size | |
| :return: List of string | |
| :rtype: List[str] | |
| :Example: | |
| :: | |
| from pythainlp.lm import remove_repeated_ngrams | |
| remove_repeated_ngrams(['เอา', 'เอา', 'แบบ', 'ไหน'], n=1) | |
| # output: ['เอา', 'แบบ', 'ไหน'] | |
| """ | |
| if not string_list or n <= 0: | |
| return string_list | |
| unique_ngrams = set() | |
| output_list = [] | |
| for i in range(len(string_list)): | |
| if i + n <= len(string_list): | |
| ngram = tuple(string_list[i:i + n]) | |
| if ngram not in unique_ngrams: | |
| unique_ngrams.add(ngram) | |
| if not output_list or output_list[-(n - 1):] != list(ngram[:-1]): | |
| output_list.extend(ngram) | |
| else: | |
| output_list.append(ngram[-1]) | |
| else: | |
| for char in string_list[i:]: | |
| if not output_list or output_list[-1] != char: | |
| output_list.append(char) | |
| return output_list | |