

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


a		=get_tests_dir("""fixtures/test_sentencepiece_bpe.model""")






class        A_		(       a__			,							unittest.TestCase				):
							_UpperCAmelCase    :  Optional[Any]						      =      BartphoTokenizer
							_UpperCAmelCase    :  Any						      =      False
							_UpperCAmelCase    :  str						      =      True
							def     lowerCAmelCase     (		self		:			Union[str, Any]):
								super().setUp()

								__lowerCamelCase				:				Any					       = ['▁This', '▁is', '▁a', '▁t', 'est']
								__lowerCamelCase				:				Optional[int]					       = dict(zip(SCREAMING_SNAKE_CASE_   ,range(len(SCREAMING_SNAKE_CASE_))))
								__lowerCamelCase				:				List[Any]					       = {'unk_token': '<unk>'}

								__lowerCamelCase				:				int					       = 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")

								__lowerCamelCase				:				List[str]					       = BartphoTokenizer(SCREAMING_SNAKE_CASE_   ,self.monolingual_vocab_file   ,**self.special_tokens_map)
								tokenizer.save_pretrained(self.tmpdirname)
							def     lowerCAmelCase     (		self		:			int   ,**SCREAMING_SNAKE_CASE__		:			Optional[Any]):
								kwargs.update(self.special_tokens_map)
								return BartphoTokenizer.from_pretrained(self.tmpdirname   ,**SCREAMING_SNAKE_CASE_)
							def     lowerCAmelCase     (		self		:			Any   ,SCREAMING_SNAKE_CASE__		:			List[Any]):
								__lowerCamelCase				:				Optional[Any]					       = 'This is a là test'
								__lowerCamelCase				:				List[Any]					       = 'This is a<unk><unk> test'
								return input_text, output_text


							def     lowerCAmelCase     (		self		:			Optional[int]):
								__lowerCamelCase				:				List[Any]					       = BartphoTokenizer(SCREAMING_SNAKE_CASE_   ,self.monolingual_vocab_file   ,**self.special_tokens_map)
								__lowerCamelCase				:				Optional[int]					       = 'This is a là test'
								__lowerCamelCase				:				Any					       = '▁This ▁is ▁a ▁l à ▁t est'.split()
								__lowerCamelCase				:				Dict					       = tokenizer.tokenize(SCREAMING_SNAKE_CASE_)
								self.assertListEqual(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_)

								__lowerCamelCase				:				str					       = tokens + [tokenizer.unk_token]
								__lowerCamelCase				:				int					       = [4, 5, 6, 3, 3, 7, 8, 3]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_)   ,SCREAMING_SNAKE_CASE_)









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


__UpperCAmelCase          =       logging.get_logger(__name__)

__UpperCAmelCase          =       {
    '''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 				lowerCAmelCase_		(  a__							):
       UpperCAmelCase__				:					Any        =  "canine"
       def __init__(			self,			SCREAMING_SNAKE_CASE_=768,			SCREAMING_SNAKE_CASE_=12,			SCREAMING_SNAKE_CASE_=12,			SCREAMING_SNAKE_CASE_=3072,			SCREAMING_SNAKE_CASE_="gelu",			SCREAMING_SNAKE_CASE_=0.1,			SCREAMING_SNAKE_CASE_=0.1,			SCREAMING_SNAKE_CASE_=1_6384,			SCREAMING_SNAKE_CASE_=16,			SCREAMING_SNAKE_CASE_=0.02,			SCREAMING_SNAKE_CASE_=1e-12,			SCREAMING_SNAKE_CASE_=0,			SCREAMING_SNAKE_CASE_=0XE000,			SCREAMING_SNAKE_CASE_=0XE001,			SCREAMING_SNAKE_CASE_=4,			SCREAMING_SNAKE_CASE_=4,			SCREAMING_SNAKE_CASE_=8,			SCREAMING_SNAKE_CASE_=1_6384,			SCREAMING_SNAKE_CASE_=128,			**SCREAMING_SNAKE_CASE_,			)     ->		int:
          super().__init__(pad_token_id=SCREAMING_SNAKE_CASE_,			bos_token_id=SCREAMING_SNAKE_CASE_,			eos_token_id=SCREAMING_SNAKE_CASE_,			**SCREAMING_SNAKE_CASE_       )

          UpperCamelCase    :  Tuple							=	max_position_embeddings
          UpperCamelCase    :  Tuple							=	hidden_size
          UpperCamelCase    :  Union[str, Any]							=	num_hidden_layers
          UpperCamelCase    :  Optional[int]							=	num_attention_heads
          UpperCamelCase    :  Tuple							=	intermediate_size
          UpperCamelCase    :  List[str]							=	hidden_act
          UpperCamelCase    :  Union[str, Any]							=	hidden_dropout_prob
          UpperCamelCase    :  Optional[int]							=	attention_probs_dropout_prob
          UpperCamelCase    :  Optional[Any]							=	initializer_range
          UpperCamelCase    :  Tuple							=	type_vocab_size
          UpperCamelCase    :  Any							=	layer_norm_eps

          # Character config:
          UpperCamelCase    :  List[Any]							=	downsampling_rate
          UpperCamelCase    :  Optional[int]							=	upsampling_kernel_size
          UpperCamelCase    :  Tuple							=	num_hash_functions
          UpperCamelCase    :  Union[str, Any]							=	num_hash_buckets
          UpperCamelCase    :  str							=	local_transformer_stride



