



import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple

from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
							__snake_case       :	Optional[int]            ='pt'
elif is_tf_available():
							__snake_case       :	Optional[Any]            ='tf'
else:
							__snake_case       :	Any            ='jax'



class  lowerCamelCase__    (							lowerCamelCase__   ,       unittest.TestCase):




		'''simple docstring'''



		snake_case_			=ByTaTokenizer
		snake_case_			=False



		def 	lowerCAmelCase__   (self				)  ->    List[str]:

						"""simple docstring"""






						super().setUp()
						lowerCAmelCase__  :       Optional[Any]				=  ByTaTokenizer()
						tokenizer.save_pretrained(self.tmpdirname				)



		@cached_property
		def 	lowerCAmelCase__   (self				)  ->    Tuple:

						"""simple docstring"""






						return ByTaTokenizer.from_pretrained('''google/byt5-small'''				)



		def 	lowerCAmelCase__   (self	,**__lowerCamelCase				)  ->    ByTaTokenizer:

						"""simple docstring"""






						return self.tokenizer_class.from_pretrained(self.tmpdirname	,**__lowerCamelCase				)



		def 	lowerCAmelCase__   (self	,__lowerCamelCase	,__lowerCamelCase=False	,__lowerCamelCase=20	,__lowerCamelCase=5				)  ->    Tuple[str, list]:

						"""simple docstring"""






						lowerCAmelCase__  :       Dict				=  []
						for i in range(len(__lowerCamelCase				)				):
										try:
														lowerCAmelCase__  :       List[str]				=  tokenizer.decode([i]	,clean_up_tokenization_spaces=__lowerCamelCase				)
										except UnicodeDecodeError:
														pass
										toks.append((i, tok)				)

						lowerCAmelCase__  :       Union[str, Any]				=  list(filter(lambda __lowerCamelCase				: re.match(R'''^[ a-zA-Z]+$'''	,t[1]				)	,__lowerCamelCase				)				)
						lowerCAmelCase__  :       int				=  list(filter(lambda __lowerCamelCase				: [t[0]] == tokenizer.encode(t[1]	,add_special_tokens=__lowerCamelCase				)	,__lowerCamelCase				)				)
						if max_length is not None and len(__lowerCamelCase				) > max_length:
										lowerCAmelCase__  :       Dict				=  toks[:max_length]
						if min_length is not None and len(__lowerCamelCase				) < min_length and len(__lowerCamelCase				) > 0:
										while len(__lowerCamelCase				) < min_length:
														lowerCAmelCase__  :       str				=  toks + toks
        # toks_str = [t[1] for t in toks]
						lowerCAmelCase__  :       Union[str, Any]				=  [t[0] for t in toks]

						# Ensure consistency
						lowerCAmelCase__  :       List[Any]				=  tokenizer.decode(__lowerCamelCase	,clean_up_tokenization_spaces=__lowerCamelCase				)
						if " " not in output_txt and len(__lowerCamelCase				) > 1:
										lowerCAmelCase__  :       Tuple				=  (
										    tokenizer.decode([toks_ids[0]]	,clean_up_tokenization_spaces=__lowerCamelCase				)
										    + ''' '''
										    + tokenizer.decode(toks_ids[1:]	,clean_up_tokenization_spaces=__lowerCamelCase				)
										)
						if with_prefix_space:
										lowerCAmelCase__  :       int				=  ''' ''' + output_txt
						lowerCAmelCase__  :       Tuple				=  tokenizer.encode(__lowerCamelCase	,add_special_tokens=__lowerCamelCase				)
						return output_txt, output_ids



		def 	lowerCAmelCase__   (self				)  ->    int:

						"""simple docstring"""






						lowerCAmelCase__  :       Optional[int]				=  self.ta_base_tokenizer
						lowerCAmelCase__  :       Optional[int]				=  tokenizer(['''hi</s>''', '''I went to the gym</s>''', '''</s>''']				)
						lowerCAmelCase__  :       str				=  tokenizer(['''hi''', '''I went to the gym''', '''''']				)
						self.assertListEqual(batch_with_eos_added['''input_ids''']	,batch_without_eos_added['''input_ids''']				)



		def 	lowerCAmelCase__   (self				)  ->    int:

						"""simple docstring"""






						lowerCAmelCase__  :       Tuple				=  self.ta_base_tokenizer
						lowerCAmelCase__  :       str				=  '''Unicode €.'''
						lowerCAmelCase__  :       Any				=  tokenizer(__lowerCamelCase				)
						lowerCAmelCase__  :       Optional[int]				=  [88, 1_13, 1_08, 1_02, 1_14, 1_03, 1_04, 35, 2_29, 1_33, 1_75, 49, 1]
						self.assertEqual(encoded['''input_ids''']	,__lowerCamelCase				)

						# decoding
						lowerCAmelCase__  :       Tuple				=  tokenizer.decode(__lowerCamelCase				)
						self.assertEqual(__lowerCamelCase	,'''Unicode €.</s>'''				)

						lowerCAmelCase__  :       str				=  tokenizer('''e è é ê ë'''				)
						lowerCAmelCase__  :       Optional[Any]				=  [1_04, 35, 1_98, 1_71, 35, 1_98, 1_72, 35, 1_98, 1_73, 35, 1_98, 1_74, 1]
						self.assertEqual(encoded['''input_ids''']	,__lowerCamelCase				)
						# decoding
						lowerCAmelCase__  :       str				=  tokenizer.decode(__lowerCamelCase				)
						self.assertEqual(__lowerCamelCase	,'''e è é ê ë</s>'''				)

						# encode/decode, but with `encode` instead of `__call__`
						self.assertEqual(tokenizer.decode(tokenizer.encode('''e è é ê ë'''				)				)	,'''e è é ê ë</s>'''				)



		def 	lowerCAmelCase__   (self				)  ->    int:

						"""simple docstring"""






						lowerCAmelCase__  :       Dict				=  self.ta_base_tokenizer
						lowerCAmelCase__  :       List[Any]				=  ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
						# fmt: off
						lowerCAmelCase__  :       Tuple				=  [68, 35, 1_11, 1_14, 1_13, 1_06, 35, 1_15, 1_00, 1_17, 1_00, 1_06, 1_17, 1_00, 1_15, 1_07, 35, 1_05, 1_14, 1_17, 35, 1_18, 1_20, 1_12, 1_12, 1_00, 1_17, 1_08, 1_25, 1_00, 1_19, 1_08, 1_14, 1_13, 49, 1, 0]
						# fmt: on
						lowerCAmelCase__  :       str				=  tokenizer(__lowerCamelCase	,padding=__lowerCamelCase	,return_tensors=__lowerCamelCase				)
						self.assertIsInstance(__lowerCamelCase	,__lowerCamelCase				)

						if FRAMEWORK != "jax":
										lowerCAmelCase__  :       Any				=  list(batch.input_ids.numpy()[0]				)
						else:
										lowerCAmelCase__  :       List[str]				=  list(batch.input_ids.tolist()[0]				)

						self.assertListEqual(__lowerCamelCase	,__lowerCamelCase				)

						self.assertEqual((2, 37)	,batch.input_ids.shape				)
						self.assertEqual((2, 37)	,batch.attention_mask.shape				)



		def 	lowerCAmelCase__   (self				)  ->    Any:

						"""simple docstring"""






						lowerCAmelCase__  :       Any				=  self.ta_base_tokenizer
						lowerCAmelCase__  :       Dict				=  ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
						lowerCAmelCase__  :       Optional[int]				=  tokenizer(__lowerCamelCase	,padding=__lowerCamelCase	,return_tensors=__lowerCamelCase				)
						# check if input_ids are returned and no decoder_input_ids
						self.assertIn('''input_ids'''	,__lowerCamelCase				)
						self.assertIn('''attention_mask'''	,__lowerCamelCase				)
						self.assertNotIn('''decoder_input_ids'''	,__lowerCamelCase				)
						self.assertNotIn('''decoder_attention_mask'''	,__lowerCamelCase				)



		def 	lowerCAmelCase__   (self				)  ->    Any:

						"""simple docstring"""






						lowerCAmelCase__  :       List[str]				=  self.ta_base_tokenizer
						lowerCAmelCase__  :       Tuple				=  [
						    '''Summary of the text.''',
						    '''Another summary.''',
						]
						lowerCAmelCase__  :       Optional[Any]				=  tokenizer(
						    text_target=__lowerCamelCase	,max_length=32	,padding='''max_length'''	,truncation=__lowerCamelCase	,return_tensors=__lowerCamelCase				)
						self.assertEqual(32	,targets['''input_ids'''].shape[1]				)



		def 	lowerCAmelCase__   (self				)  ->    List[Any]:

						"""simple docstring"""






						lowerCAmelCase__  :       List[Any]				=  self.ta_base_tokenizer
						lowerCAmelCase__  :       int				=  ['''A long paragraph for summarization. </s>''']
						lowerCAmelCase__  :       Union[str, Any]				=  ['''Summary of the text. </s>''']
						# fmt: off
						lowerCAmelCase__  :       Tuple				=  [68, 35, 1_11, 1_14, 1_13, 1_06, 35, 1_15, 1_00, 1_17, 1_00, 1_06, 1_17, 1_00, 1_15, 1_07, 35, 1_05, 1_14, 1_17, 35, 1_18, 1_20, 1_12, 1_12, 1_00, 1_17, 1_08, 1_25, 1_00, 1_19, 1_08, 1_14, 1_13, 49, 35, 1]
						lowerCAmelCase__  :       List[Any]				=  [86, 1_20, 1_12, 1_12, 1_00, 1_17, 1_24, 35, 1_14, 1_05, 35, 1_19, 1_07, 1_04, 35, 1_19, 1_04, 1_23, 1_19, 49, 35, 1]
						# fmt: on

						lowerCAmelCase__  :       List[Any]				=  tokenizer(__lowerCamelCase	,text_target=__lowerCamelCase				)

						self.assertEqual(__lowerCamelCase	,batch['''input_ids'''][0]				)
						self.assertEqual(__lowerCamelCase	,batch['''labels'''][0]				)



		def 	lowerCAmelCase__   (self				)  ->    Tuple:

						"""simple docstring"""






						lowerCAmelCase__  :       Dict				=  self.get_tokenizers()
						for tokenizer in tokenizers:
										with self.subTest(f"""{tokenizer.__class__.__name__}"""				):
														self.assertNotEqual(tokenizer.model_max_length	,42				)

        # Now let's start the test
						lowerCAmelCase__  :       Union[str, Any]				=  self.get_tokenizers()
						for tokenizer in tokenizers:
										with self.subTest(f"""{tokenizer.__class__.__name__}"""				):
														# Isolate this from the other tests because we save additional tokens/etc
														lowerCAmelCase__  :       List[Any]				=  tempfile.mkdtemp()

														lowerCAmelCase__  :       Union[str, Any]				=  ''' He is very happy, UNwant\u00E9d,running'''
														lowerCAmelCase__  :       Optional[Any]				=  tokenizer.encode(__lowerCamelCase	,add_special_tokens=__lowerCamelCase				)
														tokenizer.save_pretrained(__lowerCamelCase				)

														lowerCAmelCase__  :       str				=  tokenizer.__class__.from_pretrained(__lowerCamelCase				)
														lowerCAmelCase__  :       Optional[Any]				=  after_tokenizer.encode(__lowerCamelCase	,add_special_tokens=__lowerCamelCase				)
														self.assertListEqual(__lowerCamelCase	,__lowerCamelCase				)

														shutil.rmtree(__lowerCamelCase				)

						lowerCAmelCase__  :       Any				=  self.get_tokenizers(model_max_length=42				)
						for tokenizer in tokenizers:
										with self.subTest(f"""{tokenizer.__class__.__name__}"""				):
														# Isolate this from the other tests because we save additional tokens/etc
														lowerCAmelCase__  :       int				=  tempfile.mkdtemp()

														lowerCAmelCase__  :       int				=  ''' He is very happy, UNwant\u00E9d,running'''
														tokenizer.add_tokens(['''bim''', '''bambam''']				)
														lowerCAmelCase__  :       Optional[int]				=  tokenizer.additional_special_tokens
														additional_special_tokens.append('''new_additional_special_token'''				)
														tokenizer.add_special_tokens({'''additional_special_tokens''': additional_special_tokens}				)
														lowerCAmelCase__  :       Dict				=  tokenizer.encode(__lowerCamelCase	,add_special_tokens=__lowerCamelCase				)
														tokenizer.save_pretrained(__lowerCamelCase				)

														lowerCAmelCase__  :       Optional[int]				=  tokenizer.__class__.from_pretrained(__lowerCamelCase				)
														lowerCAmelCase__  :       str				=  after_tokenizer.encode(__lowerCamelCase	,add_special_tokens=__lowerCamelCase				)
														self.assertListEqual(__lowerCamelCase	,__lowerCamelCase				)
														self.assertIn('''new_additional_special_token'''	,after_tokenizer.additional_special_tokens				)
														self.assertEqual(after_tokenizer.model_max_length	,42				)

														lowerCAmelCase__  :       int				=  tokenizer.__class__.from_pretrained(__lowerCamelCase	,model_max_length=43				)
														self.assertEqual(tokenizer.model_max_length	,43				)

														shutil.rmtree(__lowerCamelCase				)



		def 	lowerCAmelCase__   (self				)  ->    Optional[Any]:

						"""simple docstring"""






						lowerCAmelCase__  :       str				=  []
						if self.test_slow_tokenizer:
										tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())				)

						if self.test_rust_tokenizer:
										tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())				)

						for tokenizer_class, tokenizer_utils in tokenizer_list:
										with tempfile.TemporaryDirectory() as tmp_dir:
														tokenizer_utils.save_pretrained(__lowerCamelCase				)

														with open(os.path.join(__lowerCamelCase	,'''special_tokens_map.json'''				)	,encoding='''utf-8'''				) as json_file:
																		lowerCAmelCase__  :       int				=  json.load(__lowerCamelCase				)

														with open(os.path.join(__lowerCamelCase	,'''tokenizer_config.json'''				)	,encoding='''utf-8'''				) as json_file:
																		lowerCAmelCase__  :       Any				=  json.load(__lowerCamelCase				)

														lowerCAmelCase__  :       Union[str, Any]				=  [f"""<extra_id_{i}>""" for i in range(1_25				)]

														lowerCAmelCase__  :       Tuple				=  added_tokens_extra_ids + [
														    '''an_additional_special_token'''
														]
														lowerCAmelCase__  :       Dict				=  added_tokens_extra_ids + [
														    '''an_additional_special_token'''
														]

														with open(os.path.join(__lowerCamelCase	,'''special_tokens_map.json'''				)	,'''w'''	,encoding='''utf-8'''				) as outfile:
																		json.dump(__lowerCamelCase	,__lowerCamelCase				)
														with open(os.path.join(__lowerCamelCase	,'''tokenizer_config.json'''				)	,'''w'''	,encoding='''utf-8'''				) as outfile:
																		json.dump(__lowerCamelCase	,__lowerCamelCase				)

														# the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
														# into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
														# "special_tokens_map.json" files
														lowerCAmelCase__  :       Dict				=  tokenizer_class.from_pretrained(
														    __lowerCamelCase	,)
														self.assertIn(
														    '''an_additional_special_token'''	,tokenizer_without_change_in_init.additional_special_tokens				)
														# self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
														self.assertEqual(
														    ['''an_additional_special_token''']	,tokenizer_without_change_in_init.convert_ids_to_tokens(
														        tokenizer_without_change_in_init.convert_tokens_to_ids(['''an_additional_special_token''']				)				)	,)

														# Now we test that we can change the value of additional_special_tokens in the from_pretrained
														lowerCAmelCase__  :       Dict				=  added_tokens_extra_ids + [AddedToken('''a_new_additional_special_token'''	,lstrip=__lowerCamelCase				)]
														lowerCAmelCase__  :       List[str]				=  tokenizer_class.from_pretrained(
														    __lowerCamelCase	,additional_special_tokens=__lowerCamelCase	,)

														self.assertIn('''a_new_additional_special_token'''	,tokenizer.additional_special_tokens				)
														self.assertEqual(
														    ['''a_new_additional_special_token''']	,tokenizer.convert_ids_to_tokens(
														        tokenizer.convert_tokens_to_ids(['''a_new_additional_special_token''']				)				)	,)



		def 	lowerCAmelCase__   (self				)  ->    Dict:

						"""simple docstring"""






						lowerCAmelCase__  :       Dict				=  []
						if self.test_slow_tokenizer:
										tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())				)

						if self.test_rust_tokenizer:
										tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())				)

						for tokenizer_class, tokenizer_utils in tokenizer_list:
										with tempfile.TemporaryDirectory() as tmp_dir:
														tokenizer_utils.save_pretrained(__lowerCamelCase				)

														lowerCAmelCase__  :       Dict				=  tokenizer_class.from_pretrained(__lowerCamelCase				)

														self.assertTrue(tokenizer.decode([2_55]				) == ''''''				)



		def 	lowerCAmelCase__   (self				)  ->    Optional[Any]:

						"""simple docstring"""






						pass



		def 	lowerCAmelCase__   (self				)  ->    str:

						"""simple docstring"""






						pass



		def 	lowerCAmelCase__   (self				)  ->    int:

						"""simple docstring"""






						pass



		def 	lowerCAmelCase__   (self				)  ->    List[str]:

						"""simple docstring"""






						pass



		def 	lowerCAmelCase__   (self				)  ->    Any:

						"""simple docstring"""






						lowerCAmelCase__  :       str				=  self.get_tokenizers(fast=__lowerCamelCase	,do_lower_case=__lowerCamelCase				)
						for tokenizer in tokenizers:
										with self.subTest(f"""{tokenizer.__class__.__name__}"""				):
														lowerCAmelCase__  :       List[str]				=  ['''t''', '''h''', '''i''', '''s''', ''' ''', '''i''', '''s''', ''' ''', '''a''', ''' ''', '''t''', '''e''', '''x''', '''t''', '''</s>''']
														lowerCAmelCase__  :       List[str]				=  tokenizer.convert_tokens_to_string(__lowerCamelCase				)

														self.assertIsInstance(__lowerCamelCase	,__lowerCamelCase				)



		def 	lowerCAmelCase__   (self				)  ->    List[str]:

						"""simple docstring"""






						lowerCAmelCase__  :       Dict				=  self.get_tokenizers()
						for tokenizer in tokenizers:
										with self.subTest(f"""{tokenizer.__class__.__name__}"""				):
														lowerCAmelCase__  :       Optional[int]				=  [
														    '''bos_token''',
														    '''eos_token''',
														    '''unk_token''',
														    '''sep_token''',
														    '''pad_token''',
														    '''cls_token''',
														    '''mask_token''',
														]

														lowerCAmelCase__  :       Dict				=  0
														lowerCAmelCase__  :       Dict				=  tokenizer.convert_ids_to_tokens(
														    __lowerCamelCase	,skip_special_tokens=__lowerCamelCase				)

														for attr in attributes_list:
																		setattr(__lowerCamelCase	,attr + '''_id'''	,__lowerCamelCase				)
																		self.assertEqual(getattr(__lowerCamelCase	,__lowerCamelCase				)	,__lowerCamelCase				)
																		self.assertEqual(getattr(__lowerCamelCase	,attr + '''_id'''				)	,__lowerCamelCase				)

																		setattr(__lowerCamelCase	,attr + '''_id'''	,__lowerCamelCase				)
																		self.assertEqual(getattr(__lowerCamelCase	,__lowerCamelCase				)	,__lowerCamelCase				)
																		self.assertEqual(getattr(__lowerCamelCase	,attr + '''_id'''				)	,__lowerCamelCase				)

														setattr(__lowerCamelCase	,'''additional_special_tokens_ids'''	,[]				)
														self.assertListEqual(getattr(__lowerCamelCase	,'''additional_special_tokens'''				)	,[]				)
														self.assertListEqual(getattr(__lowerCamelCase	,'''additional_special_tokens_ids'''				)	,[]				)

														setattr(__lowerCamelCase	,'''additional_special_tokens_ids'''	,[token_id_to_test_setters]				)
														self.assertListEqual(getattr(__lowerCamelCase	,'''additional_special_tokens'''				)	,[token_to_test_setters]				)
														self.assertListEqual(getattr(__lowerCamelCase	,'''additional_special_tokens_ids'''				)	,[token_id_to_test_setters]				)






import os
from shutil import copyfile
from typing import List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__snake_case       :	Union[str, Any]            =logging.get_logger(__name__)

__snake_case       :	Dict            ={'vocab_file': 'sentencepiece.model'}

__snake_case       :	Optional[Any]            ={
    'vocab_file': {
        'google/rembert': 'https://huggingface.co/google/rembert/resolve/main/sentencepiece.model',
    },
}

__snake_case       :	int            ={
    'google/rembert': 2_5_6,
}



class  lowerCamelCase__    (							lowerCamelCase__):




		'''simple docstring'''



		snake_case_			=VOCAB_FILES_NAMES
		snake_case_			=PRETRAINED_VOCAB_FILES_MAP
		snake_case_			=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES



		def __init__(self	,__lowerCamelCase	,__lowerCamelCase=False	,__lowerCamelCase=True	,__lowerCamelCase=True	,__lowerCamelCase="[CLS]"	,__lowerCamelCase="[SEP]"	,__lowerCamelCase="[UNK]"	,__lowerCamelCase="[SEP]"	,__lowerCamelCase="[PAD]"	,__lowerCamelCase="[CLS]"	,__lowerCamelCase="[MASK]"	,**__lowerCamelCase	,)  ->    Union[str, Any]:

						"""simple docstring"""






						super().__init__(
						    do_lower_case=__lowerCamelCase	,remove_space=__lowerCamelCase	,keep_accents=__lowerCamelCase	,bos_token=__lowerCamelCase	,eos_token=__lowerCamelCase	,unk_token=__lowerCamelCase	,sep_token=__lowerCamelCase	,pad_token=__lowerCamelCase	,cls_token=__lowerCamelCase	,mask_token=__lowerCamelCase	,**__lowerCamelCase	,)

						lowerCAmelCase__  :       int				=  do_lower_case
						lowerCAmelCase__  :       Optional[Any]				=  remove_space
						lowerCAmelCase__  :       Any				=  keep_accents
						lowerCAmelCase__  :       Dict				=  vocab_file

						lowerCAmelCase__  :       List[str]				=  spm.SentencePieceProcessor()
						self.sp_model.Load(__lowerCamelCase				)



		@property
		def 	lowerCAmelCase__   (self				)  ->    List[str]:

						"""simple docstring"""






						return len(self.sp_model				)



		def 	lowerCAmelCase__   (self				)  ->    List[Any]:

						"""simple docstring"""






						lowerCAmelCase__  :       int				=  {self.convert_ids_to_tokens(__lowerCamelCase				): i for i in range(self.vocab_size				)}
						vocab.update(self.added_tokens_encoder				)
						return vocab



		def __getstate__(self				)  ->    Union[str, Any]:

						"""simple docstring"""






						lowerCAmelCase__  :       Any				=  self.__dict__.copy()
						lowerCAmelCase__  :       Dict				=  None
						return state



		def __setstate__(self	,__lowerCamelCase				)  ->    int:

						"""simple docstring"""






						lowerCAmelCase__  :       Dict				=  d
						lowerCAmelCase__  :       List[str]				=  spm.SentencePieceProcessor()
						self.sp_model.Load(self.vocab_file				)



		def 	lowerCAmelCase__   (self	,__lowerCamelCase	,__lowerCamelCase=False				)  ->    Tuple:

						"""simple docstring"""






						lowerCAmelCase__  :       str				=  self.sp_model.EncodeAsPieces(__lowerCamelCase				)
						return pieces



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    Dict:

						"""simple docstring"""






						return self.sp_model.PieceToId(__lowerCamelCase				)



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    List[str]:

						"""simple docstring"""






						return self.sp_model.IdToPiece(__lowerCamelCase				)



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    List[str]:

						"""simple docstring"""






						lowerCAmelCase__  :       Any				=  self.sp_model.decode_pieces(__lowerCamelCase				)
						return out_string



		def 	lowerCAmelCase__   (self	,__lowerCamelCase	,__lowerCamelCase = None				)  ->    List[int]:

						"""simple docstring"""






						lowerCAmelCase__  :       str				=  [self.sep_token_id]
						lowerCAmelCase__  :       int				=  [self.cls_token_id]
						if token_ids_a is None:
										return cls + token_ids_a + sep
						return cls + token_ids_a + sep + token_ids_a + sep



		def 	lowerCAmelCase__   (self	,__lowerCamelCase	,__lowerCamelCase = None	,__lowerCamelCase = False				)  ->    List[int]:

						"""simple docstring"""






						if already_has_special_tokens:
										if token_ids_a is not None:
														raise ValueError(
														    '''You should not supply a second sequence if the provided sequence of '''
														    '''ids is already formatted with special tokens for the model.'''				)
										return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

						if token_ids_a is not None:
										return [1] + ([0] * len(__lowerCamelCase				)) + [1] + ([0] * len(__lowerCamelCase				)) + [1]
						return [1] + ([0] * len(__lowerCamelCase				)) + [1]



		def 	lowerCAmelCase__   (self	,__lowerCamelCase	,__lowerCamelCase = None				)  ->    List[int]:

						"""simple docstring"""






						lowerCAmelCase__  :       Union[str, Any]				=  [self.sep_token_id]
						lowerCAmelCase__  :       Union[str, Any]				=  [self.cls_token_id]

						if token_ids_a is None:
										return len(cls + token_ids_a + sep				) * [0]
						return len(cls + token_ids_a + sep				) * [0] + len(token_ids_a + sep				) * [1]



		def 	lowerCAmelCase__   (self	,__lowerCamelCase	,__lowerCamelCase = None				)  ->    Tuple[str]:

						"""simple docstring"""






						if not os.path.isdir(__lowerCamelCase				):
										logger.error('''Vocabulary path ({}) should be a directory'''.format(__lowerCamelCase				)				)
										return
						lowerCAmelCase__  :       Union[str, Any]				=  os.path.join(
						    __lowerCamelCase	,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']				)

						if os.path.abspath(self.vocab_file				) != os.path.abspath(__lowerCamelCase				):
										copyfile(self.vocab_file	,__lowerCamelCase				)

						return (out_vocab_file,)

