
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	:    int          =      get_tests_dir('''fixtures/test_sentencepiece_bpe.model''')




class        SCREAMING_SNAKE_CASE__					(     __a							,unittest.TestCase ):





	'''simple docstring'''



	_UpperCAmelCase	:		Dict          = BartphoTokenizer
	_UpperCAmelCase	:		Any          = False
	_UpperCAmelCase	:		List[Any]          = True



	def 			A							(  self     :   Tuple     ):


				'''simple docstring'''


				super().setUp()

				_snake_case          =      ['▁This', '▁is', '▁a', '▁t', 'est']
				_snake_case          =      dict(zip(UpperCamelCase__      ,  range(len(UpperCamelCase__     )     )     )     )
				_snake_case          =      {'unk_token': '<unk>'}

				_snake_case          =      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'''     )

				_snake_case          =      BartphoTokenizer(UpperCamelCase__      ,  self.monolingual_vocab_file      ,  **self.special_tokens_map     )
				tokenizer.save_pretrained(self.tmpdirname     )



	def 			A							(  self     :   List[str]      ,  **lowercase     :   List[str]     ):


				'''simple docstring'''


				kwargs.update(self.special_tokens_map     )
				return BartphoTokenizer.from_pretrained(self.tmpdirname      ,  **UpperCamelCase__     )



	def 			A							(  self     :   Tuple      ,  lowercase     :   Any     ):


				'''simple docstring'''


				_snake_case          =      'This is a là test'
				_snake_case          =      'This is a<unk><unk> test'
				return input_text, output_text





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


				'''simple docstring'''


				_snake_case          =      BartphoTokenizer(UpperCamelCase__      ,  self.monolingual_vocab_file      ,  **self.special_tokens_map     )
				_snake_case          =      'This is a là test'
				_snake_case          =      '▁This ▁is ▁a ▁l à ▁t est'.split()
				_snake_case          =      tokenizer.tokenize(UpperCamelCase__     )
				self.assertListEqual(UpperCamelCase__      ,  UpperCamelCase__     )

				_snake_case          =      tokens + [tokenizer.unk_token]
				_snake_case          =      [4, 5, 6, 3, 3, 7, 8, 3]
				self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__     )      ,  UpperCamelCase__     )

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowerCamelCase	:    Tuple          =      logging.get_logger(__name__)

_lowerCamelCase	:    Union[str, Any]          =      {
    '''google/canine-s''': '''https://huggingface.co/google/canine-s/resolve/main/config.json''',
    # See all CANINE models at https://huggingface.co/models?filter=canine
}




class        SCREAMING_SNAKE_CASE__					(     UpperCAmelCase ):





	'''simple docstring'''



	_UpperCAmelCase	:		Any          = "canine"



	def __init__(  self     :   int      ,  lowercase     :   Optional[int]=768      ,  lowercase     :   Tuple=12      ,  lowercase     :   Union[str, Any]=12      ,  lowercase     :   Optional[int]=3_072      ,  lowercase     :   Tuple="gelu"      ,  lowercase     :   Optional[Any]=0.1      ,  lowercase     :   Tuple=0.1      ,  lowercase     :   int=16_384      ,  lowercase     :   Optional[int]=16      ,  lowercase     :   Optional[int]=0.02      ,  lowercase     :   Optional[Any]=1E-12      ,  lowercase     :   Optional[Any]=0      ,  lowercase     :   Dict=0xE000      ,  lowercase     :   Optional[Any]=0xE001      ,  lowercase     :   Union[str, Any]=4      ,  lowercase     :   str=4      ,  lowercase     :   Optional[int]=8      ,  lowercase     :   List[str]=16_384      ,  lowercase     :   Union[str, Any]=128      ,  **lowercase     :   Optional[Any]      ,  ):


				'''simple docstring'''


				super().__init__(pad_token_id=lowercase      ,  bos_token_id=lowercase      ,  eos_token_id=lowercase      ,  **lowercase     )

				_snake_case          =      max_position_embeddings
				_snake_case          =      hidden_size
				_snake_case          =      num_hidden_layers
				_snake_case          =      num_attention_heads
				_snake_case          =      intermediate_size
				_snake_case          =      hidden_act
				_snake_case          =      hidden_dropout_prob
				_snake_case          =      attention_probs_dropout_prob
				_snake_case          =      initializer_range
				_snake_case          =      type_vocab_size
				_snake_case          =      layer_norm_eps

				# Character config:
				_snake_case          =      downsampling_rate
				_snake_case          =      upsampling_kernel_size
				_snake_case          =      num_hash_functions
				_snake_case          =      num_hash_buckets
				_snake_case          =      local_transformer_stride