import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mvp import MvpTokenizer


snake_case      =    logging.get_logger(__name__)


snake_case      =    {"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

# See all MVP models at https://huggingface.co/models?filter=mvp
snake_case      =    {
    "vocab_file": {
        "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json",
    },
    "added_tokens.json": {
        "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json",
    },
    "merges_file": {
        "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt",
    },
    "tokenizer_file": {
        "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/tokenizer.json",
    },
}

snake_case      =    {
    "RUCAIBox/mvp": 1024,
}



class __A     (      A__						):

							'''simple docstring'''

							a_     =					VOCAB_FILES_NAMES
							a_     =					PRETRAINED_VOCAB_FILES_MAP
							a_     =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							a_     =					['''input_ids''', '''attention_mask''']
							a_     =					MvpTokenizer






							def __init__(				self   ,	_snake_case=None   ,	_snake_case=None   ,	_snake_case=None   ,	_snake_case="replace"   ,	_snake_case="<s>"   ,	_snake_case="</s>"   ,	_snake_case="</s>"   ,	_snake_case="<s>"   ,	_snake_case="<unk>"   ,	_snake_case="<pad>"   ,	_snake_case="<mask>"   ,	_snake_case=False   ,	_snake_case=True   ,	**_snake_case   ,	):
												super().__init__(
												    UpperCamelCase_   ,	UpperCamelCase_   ,	tokenizer_file=UpperCamelCase_   ,	errors=UpperCamelCase_   ,	bos_token=UpperCamelCase_   ,	eos_token=UpperCamelCase_   ,	sep_token=UpperCamelCase_   ,	cls_token=UpperCamelCase_   ,	unk_token=UpperCamelCase_   ,	pad_token=UpperCamelCase_   ,	mask_token=UpperCamelCase_   ,	add_prefix_space=UpperCamelCase_   ,	trim_offsets=UpperCamelCase_   ,	**UpperCamelCase_   ,	)

												_lowerCAmelCase			:		Tuple          = json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__() )
												if pre_tok_state.get("add_prefix_space"   ,	UpperCamelCase_ ) != add_prefix_space:
																	_lowerCAmelCase			:		int          = getattr(UpperCamelCase_   ,	pre_tok_state.pop("type" ) )
																	_lowerCAmelCase			:		List[str]          = add_prefix_space
																	_lowerCAmelCase			:		List[Any]          = pre_tok_class(**UpperCamelCase_ )

												_lowerCAmelCase			:		Any          = add_prefix_space

												# the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
												_lowerCAmelCase			:		Optional[Any]          = '''post_processor'''
												_lowerCAmelCase			:		Dict          = getattr(self.backend_tokenizer   ,	UpperCamelCase_   ,	UpperCamelCase_ )
												if tokenizer_component_instance:
																	_lowerCAmelCase			:		Optional[int]          = json.loads(tokenizer_component_instance.__getstate__() )

																	# The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
																	if "sep" in state:
																						_lowerCAmelCase			:		List[str]          = tuple(state["sep"] )
																	if "cls" in state:
																						_lowerCAmelCase			:		Tuple          = tuple(state["cls"] )

																	_lowerCAmelCase			:		List[Any]          = False

																	if state.get("add_prefix_space"   ,	UpperCamelCase_ ) != add_prefix_space:
																						_lowerCAmelCase			:		Optional[Any]          = add_prefix_space
																						_lowerCAmelCase			:		List[Any]          = True

																	if state.get("trim_offsets"   ,	UpperCamelCase_ ) != trim_offsets:
																						_lowerCAmelCase			:		int          = trim_offsets
																						_lowerCAmelCase			:		str          = True

																	if changes_to_apply:
																						_lowerCAmelCase			:		List[Any]          = getattr(UpperCamelCase_   ,	state.pop("type" ) )
																						_lowerCAmelCase			:		Optional[Any]          = component_class(**UpperCamelCase_ )
																						setattr(self.backend_tokenizer   ,	UpperCamelCase_   ,	UpperCamelCase_ )






							@property
							def 	SCREAMING_SNAKE_CASE__			(				self ):


												if self._mask_token is None:
																	if self.verbose:
																						logger.error("Using mask_token, but it is not set yet." )
																	return None
												return str(self._mask_token )






							@mask_token.setter
							def 	SCREAMING_SNAKE_CASE__			(				self   ,	_snake_case ):
												_lowerCAmelCase			:		Optional[Any]          = AddedToken(UpperCamelCase_   ,	lstrip=UpperCamelCase_   ,	rstrip=UpperCamelCase_ ) if isinstance(UpperCamelCase_   ,	UpperCamelCase_ ) else value
												_lowerCAmelCase			:		str          = value






							def 	SCREAMING_SNAKE_CASE__			(				self   ,	*_snake_case   ,	**_snake_case ):
												_lowerCAmelCase			:		str          = kwargs.get("is_split_into_words"   ,	UpperCamelCase_ )

												if is_split_into_words and not self.add_prefix_space:
																	raise ValueError(
																	    F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
																	    "to use it with pretokenized inputs." )

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






							def 	SCREAMING_SNAKE_CASE__			(				self   ,	*_snake_case   ,	**_snake_case ):
												_lowerCAmelCase			:		str          = kwargs.get("is_split_into_words"   ,	UpperCamelCase_ )

												if is_split_into_words and not self.add_prefix_space:
																	raise ValueError(
																	    F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
																	    "to use it with pretokenized inputs." )

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






							def 	SCREAMING_SNAKE_CASE__			(				self   ,	_snake_case   ,	_snake_case = None ):
												_lowerCAmelCase			:		int          = self._tokenizer.model.save(UpperCamelCase_   ,	name=UpperCamelCase_ )
												return tuple(UpperCamelCase_ )






							def 	SCREAMING_SNAKE_CASE__			(				self   ,	_snake_case   ,	_snake_case=None ):
												_lowerCAmelCase			:		List[str]          = [self.bos_token_id] + token_ids_a + [self.eos_token_id]
												if token_ids_a is None:
																	return output

												return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]






							def 	SCREAMING_SNAKE_CASE__			(				self   ,	_snake_case   ,	_snake_case = None ):
												_lowerCAmelCase			:		Union[str, Any]          = [self.sep_token_id]
												_lowerCAmelCase			:		Optional[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 + sep + token_ids_a + sep ) * [0]










'''simple docstring'''
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   lowercase      (				A__      ,						unittest.TestCase   ):

		"""simple docstring"""

		_a       					=							LxmertTokenizer
		_a       					=							LxmertTokenizerFast
		_a       					=							True
		_a       					=							True




		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							super().setUp()

							UpperCamelCase__  :Any				   =					[
							    '''[UNK]''',
							    '''[CLS]''',
							    '''[SEP]''',
							    '''want''',
							    '''##want''',
							    '''##ed''',
							    '''wa''',
							    '''un''',
							    '''runn''',
							    '''##ing''',
							    ''',''',
							    '''low''',
							    '''lowest''',
							]
							UpperCamelCase__  :str				   =					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        lowerCAmelCase__							(						self       ,  UpperCamelCase_				):

							'''simple docstring'''


							UpperCamelCase__  :Optional[Any]				   =					'''UNwant\u00E9d,running'''
							UpperCamelCase__  :Union[str, Any]				   =					'''unwanted, running'''
							return input_text, output_text




		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							UpperCamelCase__  :List[Any]				   =					self.tokenizer_class(self.vocab_file				)

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




		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							if not self.test_rust_tokenizer:
												return

							UpperCamelCase__  :str				   =					self.get_tokenizer()
							UpperCamelCase__  :Union[str, Any]				   =					self.get_rust_tokenizer()

							UpperCamelCase__  :int				   =					'''I was born in 92000, and this is falsé.'''

							UpperCamelCase__  :Optional[Any]				   =					tokenizer.tokenize(UpperCamelCase_				)
							UpperCamelCase__  :str				   =					rust_tokenizer.tokenize(UpperCamelCase_				)
							self.assertListEqual(UpperCamelCase_       ,  UpperCamelCase_				)

							UpperCamelCase__  :Optional[Any]				   =					tokenizer.encode(UpperCamelCase_       ,  add_special_tokens=UpperCamelCase_				)
							UpperCamelCase__  :int				   =					rust_tokenizer.encode(UpperCamelCase_       ,  add_special_tokens=UpperCamelCase_				)
							self.assertListEqual(UpperCamelCase_       ,  UpperCamelCase_				)

							UpperCamelCase__  :Optional[int]				   =					self.get_rust_tokenizer()
							UpperCamelCase__  :Any				   =					tokenizer.encode(UpperCamelCase_				)
							UpperCamelCase__  :Optional[int]				   =					rust_tokenizer.encode(UpperCamelCase_				)
							self.assertListEqual(UpperCamelCase_       ,  UpperCamelCase_				)