






"""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       ( _A   ,						unittest.TestCase							):
					SCREAMING_SNAKE_CASE_		:				Optional[Any]							    =   PhobertTokenizer
					SCREAMING_SNAKE_CASE_		:				Any							    =   False




					def   A  (				self     :						Dict   )  ->  List[Any]:
							super().setUp()

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

							lowercase_ : Dict							       =   os.path.join(self.tmpdirname    ,						VOCAB_FILES_NAMES['''vocab_file''']   )
							lowercase_ : Optional[Any]							       =   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(A   )   )




					def   A  (				self     :						List[str]    ,						**A     :						List[str]   )  ->  Optional[int]:
							kwargs.update(self.special_tokens_map   )
							return PhobertTokenizer.from_pretrained(self.tmpdirname    ,						**A   )




					def   A  (				self     :						Optional[int]    ,						A     :						Union[str, Any]   )  ->  Optional[int]:
							lowercase_ : List[str]							       =   '''Tôi là VinAI Research'''
							lowercase_ : Dict							       =   '''T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'''
							return input_text, output_text






					def   A  (				self     :						Optional[int]   )  ->  Optional[Any]:
							lowercase_ : Any							       =   PhobertTokenizer(self.vocab_file    ,						self.merges_file    ,						**self.special_tokens_map   )
							lowercase_ : Optional[Any]							       =   '''Tôi là VinAI Research'''
							lowercase_ : Dict							       =   '''T@@ ô@@ i l@@ à V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h'''.split()
							lowercase_ : List[Any]							       =   tokenizer.tokenize(A   )
							print(A   )
							self.assertListEqual(A    ,						A   )

							lowercase_ : str							       =   tokens + [tokenizer.unk_token]

							lowercase_ : List[Any]							       =   [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(A   )    ,						A   )











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


lowerCamelCase       :       Optional[Any]        =				logging.get_logger(__name__)

lowerCamelCase       :       List[str]        =				{
    '''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	):

					'''simple docstring'''

					_A  :	List[Any]     =					'''canine'''



					def __init__(     self :		List[str]						,   __a :		Optional[int]=768						,   __a :		Any=12						,   __a :		Any=12						,   __a :		Dict=3072						,   __a :		Dict="gelu"						,   __a :		List[Any]=0.1						,   __a :		List[Any]=0.1						,   __a :		Tuple=16384						,   __a :		List[Any]=16						,   __a :		List[Any]=0.02						,   __a :		Optional[Any]=1E-12						,   __a :		Dict=0						,   __a :		List[Any]=0xe_0_0_0						,   __a :		Optional[int]=0xe_0_0_1						,   __a :		Any=4						,   __a :		Dict=4						,   __a :		Optional[int]=8						,   __a :		Any=16384						,   __a :		Optional[Any]=128						,   **__a :		List[str]						,   )	->     Union[str, Any]:


												"""simple docstring"""

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

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

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