import logging

from transformers.configuration_utils import PretrainedConfig


UpperCamelCase  							=						logging.getLogger(__name__)



class   snake_case_       (		__A       ):
   __A	:		List[Any]         =				"masked_bert"






   def __init__(      self				:     Optional[int]	,						lowercase_				:     List[str]=3_05_22	,						lowercase_				:     Optional[Any]=7_68	,						lowercase_				:     Tuple=12	,						lowercase_				:     str=12	,						lowercase_				:     List[Any]=30_72	,						lowercase_				:     Union[str, Any]="gelu"	,						lowercase_				:     Dict=0.1	,						lowercase_				:     Union[str, Any]=0.1	,						lowercase_				:     List[Any]=5_12	,						lowercase_				:     List[str]=2	,						lowercase_				:     List[str]=0.02	,						lowercase_				:     int=1E-12	,						lowercase_				:     Any=0	,						lowercase_				:     List[Any]="topK"	,						lowercase_				:     List[str]="constant"	,						lowercase_				:     Dict=0.0	,						**lowercase_				:     Union[str, Any]	,						)					->						Optional[Any]:
       super().__init__(pad_token_id=lowercase_	,						**lowercase_  )

       lowercase__ :   int    					=				vocab_size
       lowercase__ :   Optional[int]    					=				hidden_size
       lowercase__ :   Any    					=				num_hidden_layers
       lowercase__ :   Dict    					=				num_attention_heads
       lowercase__ :   Optional[int]    					=				hidden_act
       lowercase__ :   Any    					=				intermediate_size
       lowercase__ :   Optional[Any]    					=				hidden_dropout_prob
       lowercase__ :   int    					=				attention_probs_dropout_prob
       lowercase__ :   str    					=				max_position_embeddings
       lowercase__ :   str    					=				type_vocab_size
       lowercase__ :   Optional[int]    					=				initializer_range
       lowercase__ :   Optional[int]    					=				layer_norm_eps
       lowercase__ :   Tuple    					=				pruning_method
       lowercase__ :   Union[str, Any]    					=				mask_init
       lowercase__ :   List[str]    					=				mask_scale









import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin







class __snake_case			(			a ,  unittest.TestCase		):
   UpperCAmelCase__  :    Any          =  PhobertTokenizer
   UpperCAmelCase__  :    List[str]          =  False







   def lowerCamelCase						(      self		:						str):

        """simple docstring"""


        super().setUp()

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

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







   def lowerCamelCase						(      self		:						int					,						**_snake_case		:						Any):

        """simple docstring"""


        kwargs.update(self.special_tokens_map)
        return PhobertTokenizer.from_pretrained(self.tmpdirname					,						**_snake_case)







   def lowerCamelCase						(      self		:						Optional[Any]					,						_snake_case		:						Union[str, Any]):

        """simple docstring"""


        UpperCAmelCase_          =							'''Tôi là VinAI Research'''
        UpperCAmelCase_          =							'''T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'''
        return input_text, output_text







   def lowerCamelCase						(      self		:						List[str]):

        """simple docstring"""


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

        UpperCAmelCase_          =							tokens + [tokenizer.unk_token]

        UpperCAmelCase_          =							[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(_snake_case)					,						_snake_case)






