






'''simple docstring'''







from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer


_A			:    Optional[int]					  =logging.get_logger(__name__)

_A			:    Tuple					  ={'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

_A			:    Any					  ={
    '''vocab_file''': {
        '''allegro/herbert-base-cased''': '''https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json'''
    },
    '''merges_file''': {
        '''allegro/herbert-base-cased''': '''https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt'''
    },
}

_A			:    List[str]					  ={'''allegro/herbert-base-cased''': 514}
_A			:    Tuple					  ={}

class _lowercase			(       _lowercase	):
							a          = VOCAB_FILES_NAMES
							a          = PRETRAINED_VOCAB_FILES_MAP
							a          = PRETRAINED_INIT_CONFIGURATION
							a          = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							a          = HerbertTokenizer




							def __init__(							self:       Tuple    ,							UpperCamelCase__:       Dict=None    ,							UpperCamelCase__:       Any=None    ,							UpperCamelCase__:       Optional[Any]=None    ,							UpperCamelCase__:       List[Any]="<s>"    ,							UpperCamelCase__:       Any="<unk>"    ,							UpperCamelCase__:       Any="<pad>"    ,							UpperCamelCase__:       Dict="<mask>"    ,							UpperCamelCase__:       Any="</s>"    ,							**UpperCamelCase__:       int    ,							):
														super().__init__(
														    UpperCamelCase__    ,							UpperCamelCase__    ,							tokenizer_file=UpperCamelCase__    ,							cls_token=UpperCamelCase__    ,							unk_token=UpperCamelCase__    ,							pad_token=UpperCamelCase__    ,							mask_token=UpperCamelCase__    ,							sep_token=UpperCamelCase__    ,							**UpperCamelCase__    ,							)




							def 	lowerCamelCase_       (							self:       int    ,							UpperCamelCase__:       List[int]    ,							UpperCamelCase__:       Optional[List[int]] = None  ):
														lowerCamelCase__      :			List[Any] 						= [self.cls_token_id]
														lowerCamelCase__      :			str 						= [self.sep_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:       str    ,							UpperCamelCase__:       List[int]    ,							UpperCamelCase__:       Optional[List[int]] = None    ,							UpperCamelCase__:       bool = False  ):
														if already_has_special_tokens:
																					return super().get_special_tokens_mask(
																					    token_ids_a=UpperCamelCase__    ,							token_ids_a=UpperCamelCase__    ,							already_has_special_tokens=UpperCamelCase__  )

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




							def 	lowerCamelCase_       (							self:       List[str]    ,							UpperCamelCase__:       List[int]    ,							UpperCamelCase__:       Optional[List[int]] = None  ):
														lowerCamelCase__      :			str 						= [self.sep_token_id]
														lowerCamelCase__      :			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:       Tuple    ,							UpperCamelCase__:       str    ,							UpperCamelCase__:       Optional[str] = None  ):
														lowerCamelCase__      :			Tuple 						= self._tokenizer.model.save(UpperCamelCase__    ,							name=UpperCamelCase__  )
														return tuple(UpperCamelCase__  )










'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_A			:    Dict					  ={
    '''configuration_git''': ['''GIT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GitConfig''', '''GitVisionConfig'''],
    '''processing_git''': ['''GitProcessor'''],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_A			:    Union[str, Any]					  =[
			    '''GIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''GitForCausalLM''',
			    '''GitModel''',
			    '''GitPreTrainedModel''',
			    '''GitVisionModel''',
			]

if TYPE_CHECKING:
			from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
			from .processing_git import GitProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_git import (
						    GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
						    GitForCausalLM,
						    GitModel,
						    GitPreTrainedModel,
						    GitVisionModel,
						)

else:
			import sys

			_A			:    Dict					  =_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

