<commit_before># -*- coding: utf-8 -*-
import regex as re
from itertools import chain

from dateutil import parser

from dateparser.timezone_parser import pop_tz_offset_from_string
from dateparser.utils import wrap_replacement_for_regex, normalize_unicode

from .dictionary import Dictionary, NormalizedDictionary, ALWAYS_KEEP_TOKENS
from .validation import LanguageValidator


class Language(object):
    _dictionary = None
    _normalized_dictionary = None
    _simplifications = None
    _simplification_patterns = None
    _normalized_simplifications = None
    _splitters = None
    _wordchars = None
    _abbreviations = None

    def __init__(self, shortname, language_info):
        self.shortname = shortname
        self.info = language_info

    def validate_info(self, validator=None):
        if validator is None:
            validator = LanguageValidator

        return validator.validate_info(language_id=self.shortname, info=self.info)

    def is_applicable(self, date_string, strip_timezone=False, settings=None):
        if strip_timezone:
            date_string, _ = pop_tz_offset_from_string(date_string, as_offset=False)

        date_string = self._simplify(date_string, settings=settings)
        tokens = self._split(date_string, keep_formatting=False, settings=settings)
        if self._is_date_consists_of_digits_only(tokens):
            return True
        else:
            return self._are_all_words_in_the_dictionary(tokens, settings)

    def translate(self, date_string, keep_formatting=False, settings=None):
        date_string = self._simplify(date_string, settings=settings)
        words = self._split(date_string, keep_formatting, settings=settings)

        dictionary = self._get_dictionary(settings)
        for i, word in enumerate(words):
            word = word.lower()
            if word in dictionary:
                words[i] = dictionary[word] or ''
        if "in" in words:
            words = self._clear_future_words(words)

        return self._join(
            list(filter(bool, words)), separator="" if keep_formatting else " ", settings=settings)

    def translate_search(self, search_string, settings=None):
        dashes = ['-', '——', '—', '～']
        sentences = self._sentence_split(search_string, settings=settings)
        dictionary = self._get_dictionary(settings)
        translated = []
        original = []
        for sentence in sentences:
            words = self._word_split(sentence, settings=settings)
            translated_chunk = []
            original_chunk = []
            for i, word in enumerate(words):
                word = self._simplify(word.lower(), settings=settings)
                if word.strip('()\"{}[],.') in dictionary and word not in dashes:
                    translated_chunk.append(dictionary[word.strip('()\"{}[],.')])
                    original_chunk.append(words[i])
                elif word in dictionary and word not in dashes:
                    translated_chunk.append(dictionary[word])
                    original_chunk.append(words[i])
                elif self._token_with_digits_is_ok(word):
                    translated_chunk.append(word)
                    original_chunk.append(words[i])
                else:
                    if translated_chunk:
                        translated.append(translated_chunk)
                        translated_chunk = []
                        original.append(original_chunk)
                        original_chunk = []
            if translated_chunk:
                translated.append(translated_chunk)
                original.append(original_chunk)
        for i in range(len(translated)):
            if "in" in translated[i]:
                translated[i] = self._clear_future_words(translated[i])
            translated[i] = self._join_chunk(list(filter(bool, translated[i])), settings=settings)
            original[i] = self._join_chunk(list(filter(bool, original[i])), settings=settings)
        return translated, original

    def _get_abbreviations(self, settings):
        dictionary = self._get_dictionary(settings=settings)
        abbreviations = []
        if self._abbreviations is None:
            for item in dictionary:
                if item.endswith('.') and len(item) > 1:
                    abbreviations.append(item)
        return abbreviations

    def _sentence_split(self, string, settings):
        abbreviations = self._get_abbreviations(settings=settings)
        abbreviation_string = ''
        for abbreviation in abbreviations:
            abbreviation_string += '(?<! '+abbreviation[:-1]+')'
        splitters_dict = {1: '[\.!?;…\r\n]+(?:\s|$)*',  # most European, Tagalog, Hebrew, Georgian,
                                                        # Indonesian, Vietnamese
                          2: '(?:[¡¿]+|[\.!?;…\r\n]+(?:\s|$))*',  # Spanish
                          3: '[|!?;\r\n]+(?:\s|$)*',  # Hindi and Bangla
                          4: '[。…‥\.!?？！;\r\n]+(?:\s|$)*',  # Japanese and Chinese
                          5: '[\r\n]+',  # Thai
                          6: '[\r\n؟!\.…]+(?:\s|$)*'}  # Arabic and Farsi
        if 'sentence_splitter_group' not in self.info:
            split_reg = abbreviation_string + splitters_dict[1]
            sentences = re.split(split_reg, string)
        else:
            split_reg = abbreviation_string + splitters_dict[self.info['sentence_splitter_group']]
            sentences = re.split(split_reg, string)

        for i in sentences:
            if not i:
                sentences.remove(i)
        return sentences

    # def _simplify_keeping_original_tokens(self, date_string, settings=None):
    #     new_string = date_string.lower()
    #     replacements = []
    #     for simplification in self._get_simplifications(settings=settings):
    #         pattern, replacement = self._get_simplification_substitution(simplification)
    #         new_string2 = pattern.sub(replacement, new_string).lower()
    #         # original = [date_string[i.strat():i.end()] for i in re.finditer(pattern, new_string)
    #         #             if re.search(pattern, new_string) is not None]
    #         # for orig in original:
    #         #     replacements.append((orig, replacement))
    #         if new_string2 != new_string:
    #             replacements.append((pattern, replacement))
    #             new_string = new_string2
    #     return new_string, replacements
<commit_msg>apply normalize_unicode before translating to match words from normalized dictionary<commit_after># -*- coding: utf-8 -*-
import regex as re
from itertools import chain

from dateutil import parser

from dateparser.timezone_parser import pop_tz_offset_from_string
from dateparser.utils import wrap_replacement_for_regex, normalize_unicode

from .dictionary import Dictionary, NormalizedDictionary, ALWAYS_KEEP_TOKENS
from .validation import LanguageValidator


class Language(object):
    _dictionary = None
    _normalized_dictionary = None
    _simplifications = None
    _simplification_patterns = None
    _normalized_simplifications = None
    _splitters = None
    _wordchars = None
    _abbreviations = None

    def __init__(self, shortname, language_info):
        self.shortname = shortname
        self.info = language_info

    def validate_info(self, validator=None):
        if validator is None:
            validator = LanguageValidator

        return validator.validate_info(language_id=self.shortname, info=self.info)

    def is_applicable(self, date_string, strip_timezone=False, settings=None):
        if strip_timezone:
            date_string, _ = pop_tz_offset_from_string(date_string, as_offset=False)

        date_string = self._simplify(date_string, settings=settings)
        tokens = self._split(date_string, keep_formatting=False, settings=settings)
        if self._is_date_consists_of_digits_only(tokens):
            return True
        else:
            return self._are_all_words_in_the_dictionary(tokens, settings)

    def translate(self, date_string, keep_formatting=False, settings=None):
        date_string = self._simplify(date_string, settings=settings)
        words = self._split(date_string, keep_formatting, settings=settings)

        dictionary = self._get_dictionary(settings)
        for i, word in enumerate(words):
            word = word.lower()
            if word in dictionary:
                words[i] = dictionary[word] or ''
        if "in" in words:
            words = self._clear_future_words(words)

        return self._join(
            list(filter(bool, words)), separator="" if keep_formatting else " ", settings=settings)

    def translate_search(self, search_string, settings=None):
        dashes = ['-', '——', '—', '～']
        sentences = self._sentence_split(search_string, settings=settings)
        dictionary = self._get_dictionary(settings)
        translated = []
        original = []
        for sentence in sentences:
            words = self._word_split(sentence, settings=settings)
            translated_chunk = []
            original_chunk = []
            for i, word in enumerate(words):
                word = normalize_unicode(self._simplify(word.lower(), settings=settings))
                if word.strip('()\"{}[],.') in dictionary and word not in dashes:
                    translated_chunk.append(dictionary[word.strip('()\"{}[],.')])
                    original_chunk.append(words[i])
                elif word in dictionary and word not in dashes:
                    translated_chunk.append(dictionary[word])
                    original_chunk.append(words[i])
                elif self._token_with_digits_is_ok(word):
                    translated_chunk.append(word)
                    original_chunk.append(words[i])
                else:
                    if translated_chunk:
                        translated.append(translated_chunk)
                        translated_chunk = []
                        original.append(original_chunk)
                        original_chunk = []
            if translated_chunk:
                translated.append(translated_chunk)
                original.append(original_chunk)
        for i in range(len(translated)):
            if "in" in translated[i]:
                translated[i] = self._clear_future_words(translated[i])
            translated[i] = self._join_chunk(list(filter(bool, translated[i])), settings=settings)
            original[i] = self._join_chunk(list(filter(bool, original[i])), settings=settings)
        return translated, original

    def _get_abbreviations(self, settings):
        dictionary = self._get_dictionary(settings=settings)
        abbreviations = []
        if self._abbreviations is None:
            for item in dictionary:
                if item.endswith('.') and len(item) > 1:
                    abbreviations.append(item)
        return abbreviations

    def _sentence_split(self, string, settings):
        abbreviations = self._get_abbreviations(settings=settings)
        abbreviation_string = ''
        for abbreviation in abbreviations:
            abbreviation_string += '(?<! '+abbreviation[:-1]+')'
        splitters_dict = {1: '[\.!?;…\r\n]+(?:\s|$)*',  # most European, Tagalog, Hebrew, Georgian,
                                                        # Indonesian, Vietnamese
                          2: '(?:[¡¿]+|[\.!?;…\r\n]+(?:\s|$))*',  # Spanish
                          3: '[|!?;\r\n]+(?:\s|$)*',  # Hindi and Bangla
                          4: '[。…‥\.!?？！;\r\n]+(?:\s|$)*',  # Japanese and Chinese
                          5: '[\r\n]+',  # Thai
                          6: '[\r\n؟!\.…]+(?:\s|$)*'}  # Arabic and Farsi
        if 'sentence_splitter_group' not in self.info:
            split_reg = abbreviation_string + splitters_dict[1]
            sentences = re.split(split_reg, string)
        else:
            split_reg = abbreviation_string + splitters_dict[self.info['sentence_splitter_group']]
            sentences = re.split(split_reg, string)

        for i in sentences:
            if not i:
                sentences.remove(i)
        return sentences

{'fraction_non_alphanumeric': 0.10575261295366636, 'fraction_numerical': 0.001892848325240721, 'mean_word_length': 2.250936329588015, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 4, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '4018180', 'n_tokens_mistral': 3444, 'n_tokens_neox': 3233, 'n_words': 701}