



"""simple docstring"""






import os
import unittest

from transformers.models.phobert.tokenization_phobert import VOCAB_FILES_NAMES, PhobertTokenizer

from ...test_tokenization_common import TokenizerTesterMixin



class     UpperCAmelCase    (	__SCREAMING_SNAKE_CASE,unittest.TestCase  ):
   A__		:	List[Any]           =  PhobertTokenizer
   A__		:	Optional[Any]           =  False



   def    __UpperCAmelCase    (       self    :	List[Any]				):



     """simple docstring"""
     super().setUp()

     # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
     _snake_case   	=      ['''T@@''', '''i''', '''I''', '''R@@''', '''r''', '''e@@''']
     _snake_case   	=      dict(zip(__lowerCamelCase							,       range(len(__lowerCamelCase				)				)				)				)
     _snake_case   	=      ['''#version: 0.2''', '''l à</w>''']
     _snake_case   	=      {'''unk_token''': '''<unk>'''}

     _snake_case   	=      os.path.join(self.tmpdirname							,       VOCAB_FILES_NAMES['''vocab_file''']				)
     _snake_case   	=      os.path.join(self.tmpdirname							,       VOCAB_FILES_NAMES['''merges_file''']				)

     with open(self.vocab_file							,       '''w'''							,       encoding='''utf-8'''				) as fp:
       for token in vocab_tokens:
         fp.write(f"""{token} {vocab_tokens[token]}\n"""				)
     with open(self.merges_file							,       '''w'''							,       encoding='''utf-8'''				) as fp:
       fp.write('''\n'''.join(__lowerCamelCase				)				)



   def    __UpperCAmelCase    (       self    :	Optional[Any]							,       **__lowerCamelCase    :	Union[str, Any]				):



     """simple docstring"""
     kwargs.update(self.special_tokens_map				)
     return PhobertTokenizer.from_pretrained(self.tmpdirname							,       **__lowerCamelCase				)



   def    __UpperCAmelCase    (       self    :	int							,       __lowerCamelCase    :	List[Any]				):



     """simple docstring"""
     _snake_case   	=      '''Tôi là VinAI Research'''
     _snake_case   	=      '''T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'''
     return input_text, output_text





   def    __UpperCAmelCase    (       self    :	List[str]				):



     """simple docstring"""
     _snake_case   	=      PhobertTokenizer(self.vocab_file							,       self.merges_file							,       **self.special_tokens_map				)
     _snake_case   	=      '''Tôi là VinAI Research'''
     _snake_case   	=      '''T@@ ô@@ i l@@ à V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h'''.split()
     _snake_case   	=      tokenizer.tokenize(__lowerCamelCase				)
     print(__lowerCamelCase				)
     self.assertListEqual(__lowerCamelCase							,       __lowerCamelCase				)

     _snake_case   	=      tokens + [tokenizer.unk_token]

     _snake_case   	=      [4, 3, 5, 3, 3, 3, 3, 3, 3, 6, 7, 9, 3, 9, 3, 3, 3, 3, 3]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase				)							,       __lowerCamelCase				)










"""simple docstring"""






from ...configuration_utils import PretrainedConfig



class     UpperCAmelCase    (	__SCREAMING_SNAKE_CASE  ):
   A__		:	str           =  '''bert-generation'''



   def __init__(       self    :	Tuple							,       __lowerCamelCase    :	Optional[int]=5_0_3_5_8							,       __lowerCamelCase    :	List[str]=1_0_2_4							,       __lowerCamelCase    :	Optional[Any]=2_4							,       __lowerCamelCase    :	Any=1_6							,       __lowerCamelCase    :	Union[str, Any]=4_0_9_6							,       __lowerCamelCase    :	Optional[Any]="gelu"							,       __lowerCamelCase    :	str=0.1							,       __lowerCamelCase    :	List[str]=0.1							,       __lowerCamelCase    :	int=5_1_2							,       __lowerCamelCase    :	Dict=0.0_2							,       __lowerCamelCase    :	Tuple=1E-12							,       __lowerCamelCase    :	Any=0							,       __lowerCamelCase    :	Union[str, Any]=2							,       __lowerCamelCase    :	List[Any]=1							,       __lowerCamelCase    :	Optional[Any]="absolute"							,       __lowerCamelCase    :	str=True							,       **__lowerCamelCase    :	List[Any]							,       ):



     """simple docstring"""
     super().__init__(pad_token_id=__lowerCamelCase							,       bos_token_id=__lowerCamelCase							,       eos_token_id=__lowerCamelCase							,       **__lowerCamelCase				)

     _snake_case   	=      vocab_size
     _snake_case   	=      hidden_size
     _snake_case   	=      num_hidden_layers
     _snake_case   	=      num_attention_heads
     _snake_case   	=      hidden_act
     _snake_case   	=      intermediate_size
     _snake_case   	=      hidden_dropout_prob
     _snake_case   	=      attention_probs_dropout_prob
     _snake_case   	=      max_position_embeddings
     _snake_case   	=      initializer_range
     _snake_case   	=      layer_norm_eps
     _snake_case   	=      position_embedding_type
     _snake_case   	=      use_cache





