


import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
							from transformers.pipelines.conversational import Conversation


snake_case_						:			str													=							logging.get_logger(__name__)

snake_case_						:			Optional[int]													=							{'''tokenizer_file''': '''tokenizer.json'''}

snake_case_						:			Optional[Any]													=							{
    '''tokenizer_file''': {
        '''bigscience/tokenizer''': '''https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json''',
        '''bigscience/bloom-560m''': '''https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json''',
        '''bigscience/bloom-1b1''': '''https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json''',
        '''bigscience/bloom-1b7''': '''https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json''',
        '''bigscience/bloom-3b''': '''https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json''',
        '''bigscience/bloom-7b1''': '''https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json''',
        '''bigscience/bloom''': '''https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json''',
    },
}

class 						A__							(		UpperCamelCase__  ):
						UpperCAmelCase             =						VOCAB_FILES_NAMES
						UpperCAmelCase             =						PRETRAINED_VOCAB_FILES_MAP
						UpperCAmelCase             =						["input_ids", "attention_mask"]
						UpperCAmelCase             =						None




						def __init__(       self					:      str				,    _a					:      Tuple=None				,    _a					:      List[str]=None				,    _a					:      Union[str, Any]=None				,    _a					:      str="<unk>"				,    _a					:      Tuple="<s>"				,    _a					:      Optional[int]="</s>"				,    _a					:      Optional[Any]="<pad>"				,    _a					:      Optional[Any]=False				,    _a					:      str=False				,    **_a					:      Tuple				,    )							->     List[Any]:


										"""simple docstring"""





										super().__init__(
										    _a				,    _a				,    tokenizer_file=_a				,    unk_token=_a				,    bos_token=_a				,    eos_token=_a				,    pad_token=_a				,    add_prefix_space=_a				,    clean_up_tokenization_spaces=_a				,    **_a				,    )
										_SCREAMING_SNAKE_CASE			  =json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()  )
										if pre_tok_state.get('''add_prefix_space'''				,    _a  ) != add_prefix_space:
														_SCREAMING_SNAKE_CASE			  =getattr(_a				,    pre_tok_state.pop('''type'''  )  )
														_SCREAMING_SNAKE_CASE			  =add_prefix_space
														_SCREAMING_SNAKE_CASE			  =pre_tok_class(**_a  )

										_SCREAMING_SNAKE_CASE			  =add_prefix_space




						def 							__UpperCamelCase				(       self					:      Optional[Any]				,    *_a					:      List[Any]				,    **_a					:      Optional[int]  )							->     BatchEncoding:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =kwargs.get('''is_split_into_words'''				,    _a  )
										if not (self.add_prefix_space or not is_split_into_words):
														raise Exception(
														    f"You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"
														    ''' pretokenized inputs.'''  )

										return super()._batch_encode_plus(*_a				,    **_a  )




						def 							__UpperCamelCase				(       self					:      Optional[int]				,    *_a					:      Union[str, Any]				,    **_a					:      str  )							->     BatchEncoding:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =kwargs.get('''is_split_into_words'''				,    _a  )

										if not (self.add_prefix_space or not is_split_into_words):
														raise Exception(
														    f"You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"
														    ''' pretokenized inputs.'''  )

										return super()._encode_plus(*_a				,    **_a  )




						def 							__UpperCamelCase				(       self					:      Optional[int]				,    _a					:      str				,    _a					:      Optional[str] = None  )							->     Tuple[str]:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =self._tokenizer.model.save(_a				,    name=_a  )
										return tuple(_a  )




						def 							__UpperCamelCase				(       self					:      int				,    _a					:      "Conversation"  )							->     List[int]:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =[]
										for is_user, text in conversation.iter_texts():
														input_ids.extend(self.encode(_a				,    add_special_tokens=_a  ) + [self.eos_token_id]  )

										if len(_a  ) > self.model_max_length:
														_SCREAMING_SNAKE_CASE			  =input_ids[-self.model_max_length :]
										return input_ids



import os
import unittest

from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class 						A__							(		UpperCamelCase__   ,     unittest.TestCase  ):
						UpperCAmelCase             =						LxmertTokenizer
						UpperCAmelCase             =						LxmertTokenizerFast
						UpperCAmelCase             =						True
						UpperCAmelCase             =						True




						def 							__UpperCamelCase				(       self					:      Optional[int]  )							->     Tuple:


										"""simple docstring"""





										super().setUp()

										_SCREAMING_SNAKE_CASE			  =[
										    '''[UNK]''',
										    '''[CLS]''',
										    '''[SEP]''',
										    '''want''',
										    '''##want''',
										    '''##ed''',
										    '''wa''',
										    '''un''',
										    '''runn''',
										    '''##ing''',
										    ''',''',
										    '''low''',
										    '''lowest''',
										]
										_SCREAMING_SNAKE_CASE			  =os.path.join(self.tmpdirname				,    VOCAB_FILES_NAMES['''vocab_file''']  )
										with open(self.vocab_file				,    '''w'''				,    encoding='''utf-8'''  ) as vocab_writer:
														vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]  )  )




						def 							__UpperCamelCase				(       self					:      List[str]				,    _a					:      Tuple  )							->     Optional[Any]:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  ='''UNwant\u00E9d,running'''
										_SCREAMING_SNAKE_CASE			  ='''unwanted, running'''
										return input_text, output_text




						def 							__UpperCamelCase				(       self					:      Tuple  )							->     List[Any]:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =self.tokenizer_class(self.vocab_file  )

										_SCREAMING_SNAKE_CASE			  =tokenizer.tokenize('''UNwant\u00E9d,running'''  )
										self.assertListEqual(_a				,    ['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']  )
										self.assertListEqual(tokenizer.convert_tokens_to_ids(_a  )				,    [7, 4, 5, 10, 8, 9]  )




						def 							__UpperCamelCase				(       self					:      Dict  )							->     List[Any]:


										"""simple docstring"""





										if not self.test_rust_tokenizer:
														return

										_SCREAMING_SNAKE_CASE			  =self.get_tokenizer()
										_SCREAMING_SNAKE_CASE			  =self.get_rust_tokenizer()

										_SCREAMING_SNAKE_CASE			  ='''I was born in 92000, and this is falsé.'''

										_SCREAMING_SNAKE_CASE			  =tokenizer.tokenize(_a  )
										_SCREAMING_SNAKE_CASE			  =rust_tokenizer.tokenize(_a  )
										self.assertListEqual(_a				,    _a  )

										_SCREAMING_SNAKE_CASE			  =tokenizer.encode(_a				,    add_special_tokens=_a  )
										_SCREAMING_SNAKE_CASE			  =rust_tokenizer.encode(_a				,    add_special_tokens=_a  )
										self.assertListEqual(_a				,    _a  )

										_SCREAMING_SNAKE_CASE			  =self.get_rust_tokenizer()
										_SCREAMING_SNAKE_CASE			  =tokenizer.encode(_a  )
										_SCREAMING_SNAKE_CASE			  =rust_tokenizer.encode(_a  )
										self.assertListEqual(_a				,    _a  )