'''simple docstring'''






import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


lowerCAmelCase: Optional[Any]							=						get_tests_dir('fixtures/test_sentencepiece_bpe.model')

class 							a__( A_		,			unittest.TestCase     ):
    lowercase__			=   BartphoTokenizer
    lowercase__			=   False
    lowercase__			=   True







    def       lowercase_	(				self			:  Dict     ):
      super().setUp()

      a						: Optional[int]					       =					["▁This", "▁is", "▁a", "▁t", "est"]
      a						: Optional[int]					       =					dict(zip(snake_case__						,      range(len(snake_case__     )     )     )     )
      a						: List[Any]					       =					{"unk_token": "<unk>"}

      a						: Any					       =					os.path.join(self.tmpdirname						,      VOCAB_FILES_NAMES['monolingual_vocab_file']     )
      with open(self.monolingual_vocab_file						,      'w'						,      encoding='utf-8'     ) as fp:
        for token in vocab_tokens:
          fp.write(F"""{token} {vocab_tokens[token]}\n"""     )

      a						: Optional[int]					       =					BartphoTokenizer(snake_case__						,      self.monolingual_vocab_file						,      **self.special_tokens_map     )
      tokenizer.save_pretrained(self.tmpdirname     )







    def       lowercase_	(				self			:  int						,      **__snake_case			:  Union[str, Any]     ):
      kwargs.update(self.special_tokens_map     )
      return BartphoTokenizer.from_pretrained(self.tmpdirname						,      **snake_case__     )







    def       lowercase_	(				self			:  str						,      __snake_case			:  Dict     ):
      a						: Optional[Any]					       =					"This is a là test"
      a						: List[Any]					       =					"This is a<unk><unk> test"
      return input_text, output_text







    def       lowercase_	(				self			:  List[Any]     ):
      a						: List[Any]					       =					BartphoTokenizer(snake_case__						,      self.monolingual_vocab_file						,      **self.special_tokens_map     )
      a						: int					       =					"This is a là test"
      a						: Tuple					       =					"▁This ▁is ▁a ▁l à ▁t est".split()
      a						: Union[str, Any]					       =					tokenizer.tokenize(snake_case__     )
      self.assertListEqual(snake_case__						,      snake_case__     )

      a						: Optional[int]					       =					tokens + [tokenizer.unk_token]
      a						: List[Any]					       =					[4, 5, 6, 3, 3, 7, 8, 3]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case__     )						,      snake_case__     )




'''simple docstring'''






import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin

class 							a__( lowerCamelCase__		,			unittest.TestCase     ):
    lowercase__			=   CTRLTokenizer
    lowercase__			=   False
    lowercase__			=   False







    def       lowercase_	(				self			:  Dict     ):
      super().setUp()

      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      a						: Tuple					       =					['adapt', 're@@', 'a@@', 'apt', 'c@@', 't', '<unk>']
      a						: Union[str, Any]					       =					dict(zip(__snake_case						,      range(len(__snake_case     )     )     )     )
      a						: Union[str, Any]					       =					['#version: 0.2', 'a p', 'ap t</w>', 'r e', 'a d', 'ad apt</w>', '']
      a						: Optional[Any]					       =					{'unk_token': '<unk>'}

      a						: Dict					       =					os.path.join(self.tmpdirname						,      VOCAB_FILES_NAMES['vocab_file']     )
      a						: Optional[Any]					       =					os.path.join(self.tmpdirname						,      VOCAB_FILES_NAMES['merges_file']     )
      with open(self.vocab_file						,      'w'						,      encoding='utf-8'     ) as fp:
        fp.write(json.dumps(__snake_case     ) + '\n'     )
      with open(self.merges_file						,      'w'						,      encoding='utf-8'     ) as fp:
        fp.write('\n'.join(__snake_case     )     )







    def       lowercase_	(				self			:  int						,      **__snake_case			:  str     ):
      kwargs.update(self.special_tokens_map     )
      return CTRLTokenizer.from_pretrained(self.tmpdirname						,      **__snake_case     )







    def       lowercase_	(				self			:  Optional[int]						,      __snake_case			:  Any     ):
      a						: int					       =					'adapt react readapt apt'
      a						: Any					       =					'adapt react readapt apt'
      return input_text, output_text







    def       lowercase_	(				self			:  Dict     ):
      a						: Dict					       =					CTRLTokenizer(self.vocab_file						,      self.merges_file						,      **self.special_tokens_map     )
      a						: List[str]					       =					'adapt react readapt apt'
      a						: Dict					       =					'adapt re@@ a@@ c@@ t re@@ adapt apt'.split()
      a						: Any					       =					tokenizer.tokenize(__snake_case     )
      self.assertListEqual(__snake_case						,      __snake_case     )

      a						: Dict					       =					tokens + [tokenizer.unk_token]

      a						: Optional[Any]					       =					[0, 1, 2, 4, 5, 1, 0, 3, 6]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__snake_case     )						,      __snake_case     )