
"""simple docstring"""

import json
from typing import Iterator, List, Union

from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing

class __lowerCAmelCase		(				__SCREAMING_SNAKE_CASE      ):





     def __init__(     self     ,					__UpperCAmelCase = "▁"     ,					__UpperCAmelCase = True     ,					__UpperCAmelCase = "<unk>"     ,					__UpperCAmelCase = "</s>"     ,					__UpperCAmelCase = "<pad>"     ,					):

      '''simple docstring'''




      __UpperCamelCase      =	{
          'pad': {'id': 0, 'token': pad_token},
          'eos': {'id': 1, 'token': eos_token},
          'unk': {'id': 2, 'token': unk_token},
      }

      __UpperCamelCase      =	[None] * len(self.special_tokens				)
      for token_dict in self.special_tokens.values():
       __UpperCamelCase      =	token_dict['token']

      __UpperCamelCase      =	Tokenizer(Unigram()				)

      __UpperCamelCase      =	normalizers.Sequence(
          [
              normalizers.Nmt(),
              normalizers.NFKC(),
              normalizers.Replace(Regex(' {2,}'				)     ,					' '				),
              normalizers.Lowercase(),
          ]				)
      __UpperCamelCase      =	pre_tokenizers.Sequence(
          [
              pre_tokenizers.Metaspace(replacement=__UpperCAmelCase     ,					add_prefix_space=__UpperCAmelCase				),
              pre_tokenizers.Digits(individual_digits=__UpperCAmelCase				),
              pre_tokenizers.Punctuation(),
          ]				)
      __UpperCamelCase      =	decoders.Metaspace(replacement=__UpperCAmelCase     ,					add_prefix_space=__UpperCAmelCase				)

      __UpperCamelCase      =	TemplateProcessing(
          single=F'$A {self.special_tokens["eos"]["token"]}'     ,					special_tokens=[(self.special_tokens['eos']['token'], self.special_tokens['eos']['id'])]     ,					)

      __UpperCamelCase      =	{
          'model': 'SentencePieceUnigram',
          'replacement': replacement,
          'add_prefix_space': add_prefix_space,
      }

      super().__init__(__UpperCAmelCase     ,					__UpperCAmelCase				)





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase = 8000     ,					__UpperCAmelCase = True     ,					):

      '''simple docstring'''




      __UpperCamelCase      =	trainers.UnigramTrainer(
          vocab_size=__UpperCAmelCase     ,					special_tokens=self.special_tokens_list     ,					show_progress=__UpperCAmelCase     ,					)

      if isinstance(__UpperCAmelCase     ,					__UpperCAmelCase				):
       __UpperCamelCase      =	[files]
      self._tokenizer.train(__UpperCAmelCase     ,					trainer=__UpperCAmelCase				)

      self.add_unk_id()





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase = 8000     ,					__UpperCAmelCase = True     ,					):

      '''simple docstring'''




      __UpperCamelCase      =	trainers.UnigramTrainer(
          vocab_size=__UpperCAmelCase     ,					special_tokens=self.special_tokens_list     ,					show_progress=__UpperCAmelCase     ,					)

      self._tokenizer.train_from_iterator(__UpperCAmelCase     ,					trainer=__UpperCAmelCase				)

      self.add_unk_id()







     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      __UpperCamelCase      =	json.loads(self._tokenizer.to_str()				)

      __UpperCamelCase      =	self.special_tokens['unk']['id']

      __UpperCamelCase      =	Tokenizer.from_str(json.dumps(__UpperCAmelCase				)				)





"""simple docstring"""

import warnings

from ...utils import logging
from .image_processing_donut import DonutImageProcessor


UpperCamelCase     :    Optional[int]       =			logging.get_logger(__name__)

class __lowerCAmelCase		(				__SCREAMING_SNAKE_CASE      ):





     def __init__(     self     ,					*__UpperCAmelCase     ,					**__UpperCAmelCase				):

      '''simple docstring'''




      warnings.warn(
          'The class DonutFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
          ' use DonutImageProcessor instead.'     ,					__UpperCAmelCase     ,					)
      super().__init__(*__UpperCAmelCase     ,					**__UpperCAmelCase				)



