


'''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 			_lowercase (	__lowercase							):
   def __init__(						self       :      Optional[int]       ,   SCREAMING_SNAKE_CASE_       :      str = "▁"       ,   SCREAMING_SNAKE_CASE_       :      bool = True       ,   SCREAMING_SNAKE_CASE_       :      Union[str, AddedToken] = "<unk>"       ,   SCREAMING_SNAKE_CASE_       :      Union[str, AddedToken] = "</s>"       ,   SCREAMING_SNAKE_CASE_       :      Union[str, AddedToken] = "<pad>"       ,   ) ->							str:
        __snake_case           =						{
            'pad': {'id': 0, 'token': pad_token},
            'eos': {'id': 1, 'token': eos_token},
            'unk': {'id': 2, 'token': unk_token},
        }

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

        __snake_case           =						Tokenizer(Unigram()      )

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

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

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

        super().__init__(SCREAMING_SNAKE_CASE_       ,   SCREAMING_SNAKE_CASE_      )
   def a  (						self       :      Optional[Any]       ,   SCREAMING_SNAKE_CASE_       :      Union[str, List[str]]       ,   SCREAMING_SNAKE_CASE_       :      int = 8000       ,   SCREAMING_SNAKE_CASE_       :      bool = True       ,   ) ->							Tuple:
        __snake_case           =						trainers.UnigramTrainer(
            vocab_size=SCREAMING_SNAKE_CASE_       ,   special_tokens=self.special_tokens_list       ,   show_progress=SCREAMING_SNAKE_CASE_       ,   )

        if isinstance(SCREAMING_SNAKE_CASE_       ,   SCREAMING_SNAKE_CASE_      ):
             __snake_case           =						[files]
        self._tokenizer.train(SCREAMING_SNAKE_CASE_       ,   trainer=SCREAMING_SNAKE_CASE_      )

        self.add_unk_id()
   def a  (						self       :      str       ,   SCREAMING_SNAKE_CASE_       :      Union[Iterator[str], Iterator[Iterator[str]]]       ,   SCREAMING_SNAKE_CASE_       :      int = 8000       ,   SCREAMING_SNAKE_CASE_       :      bool = True       ,   ) ->							str:
        __snake_case           =						trainers.UnigramTrainer(
            vocab_size=SCREAMING_SNAKE_CASE_       ,   special_tokens=self.special_tokens_list       ,   show_progress=SCREAMING_SNAKE_CASE_       ,   )

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

        self.add_unk_id()





   def a  (						self       :      Dict      ) ->							str:
        __snake_case           =						json.loads(self._tokenizer.to_str()      )

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

        __snake_case           =						Tokenizer.from_str(json.dumps(SCREAMING_SNAKE_CASE_      )      )






import json
import os
import tempfile

from transformers.testing_utils import check_json_file_has_correct_format
class       _lowerCAmelCase  :

 """simple docstring"""
 SCREAMING_SNAKE_CASE_				:					Optional[Any]       						=None

 def      __lowerCAmelCase  (						self			:			Union[str, Any]   ):






      """simple docstring"""



      UpperCamelCase						    =					self.feature_extraction_class(**self.feat_extract_dict   )
      UpperCamelCase						    =					json.loads(feat_extract.to_json_string()   )
      for key, value in self.feat_extract_dict.items():
           self.assertEqual(obj[key]					, SCREAMING_SNAKE_CASE__   )

 def      __lowerCAmelCase  (						self			:			Tuple   ):






      """simple docstring"""



      UpperCamelCase						    =					self.feature_extraction_class(**self.feat_extract_dict   )

      with tempfile.TemporaryDirectory() as tmpdirname:
           UpperCamelCase						    =					os.path.join(SCREAMING_SNAKE_CASE__					, 'feat_extract.json'   )
           feat_extract_first.to_json_file(SCREAMING_SNAKE_CASE__   )
           UpperCamelCase						    =					self.feature_extraction_class.from_json_file(SCREAMING_SNAKE_CASE__   )

      self.assertEqual(feat_extract_second.to_dict()					, feat_extract_first.to_dict()   )

 def      __lowerCAmelCase  (						self			:			Tuple   ):






      """simple docstring"""



      UpperCamelCase						    =					self.feature_extraction_class(**self.feat_extract_dict   )

      with tempfile.TemporaryDirectory() as tmpdirname:
           UpperCamelCase						    =					feat_extract_first.save_pretrained(SCREAMING_SNAKE_CASE__   )[0]
           check_json_file_has_correct_format(SCREAMING_SNAKE_CASE__   )
           UpperCamelCase						    =					self.feature_extraction_class.from_pretrained(SCREAMING_SNAKE_CASE__   )

      self.assertEqual(feat_extract_second.to_dict()					, feat_extract_first.to_dict()   )






 def      __lowerCAmelCase  (						self			:			Union[str, Any]   ):






      """simple docstring"""



      UpperCamelCase						    =					self.feature_extraction_class()
      self.assertIsNotNone(SCREAMING_SNAKE_CASE__   )


