





'''simple docstring'''






from typing import List, Optional, Tuple

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


A   : List[str]             =			logging.get_logger(__name__)

A   : List[str]             =			{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

A   : Optional[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   : Optional[int]             =			{'allegro/herbert-base-cased': 514}
A   : Optional[int]             =			{}







class 			lowerCamelCase					(						__UpperCAmelCase  ):
					_SCREAMING_SNAKE_CASE							   =    VOCAB_FILES_NAMES
					_SCREAMING_SNAKE_CASE							   =    PRETRAINED_VOCAB_FILES_MAP
					_SCREAMING_SNAKE_CASE							   =    PRETRAINED_INIT_CONFIGURATION
					_SCREAMING_SNAKE_CASE							   =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					_SCREAMING_SNAKE_CASE							   =    HerbertTokenizer


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





											'''simple docstring'''





											super().__init__(
											    __snake_case       ,     __snake_case       ,     tokenizer_file=__snake_case       ,     cls_token=__snake_case       ,     unk_token=__snake_case       ,     pad_token=__snake_case       ,     mask_token=__snake_case       ,     sep_token=__snake_case       ,     **__snake_case       ,     )


					def    SCREAMING_SNAKE_CASE_		(					self	:  Optional[int]       ,     __snake_case	:  List[int]       ,     __snake_case	:  Optional[List[int]] = None       ):





											'''simple docstring'''





											_snake_case:   int  					=		[self.cls_token_id]
											_snake_case:   List[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    SCREAMING_SNAKE_CASE_		(					self	:  Dict       ,     __snake_case	:  List[int]       ,     __snake_case	:  Optional[List[int]] = None       ,     __snake_case	:  bool = False       ):





											'''simple docstring'''





											if already_has_special_tokens:
																	return super().get_special_tokens_mask(
																	    token_ids_a=__snake_case       ,     token_ids_a=__snake_case       ,     already_has_special_tokens=__snake_case       )

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


					def    SCREAMING_SNAKE_CASE_		(					self	:  Dict       ,     __snake_case	:  List[int]       ,     __snake_case	:  Optional[List[int]] = None       ):





											'''simple docstring'''





											_snake_case:   Tuple  					=		[self.sep_token_id]
											_snake_case:   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    SCREAMING_SNAKE_CASE_		(					self	:  Optional[int]       ,     __snake_case	:  str       ,     __snake_case	:  Optional[str] = None       ):





											'''simple docstring'''





											_snake_case:   List[Any]  					=		self._tokenizer.model.save(__snake_case       ,     name=__snake_case       )
											return tuple(__snake_case       )












'''simple docstring'''






A   : str             =			{
    'a': 'AAAAA',
    'b': 'AAAAB',
    'c': 'AAABA',
    'd': 'AAABB',
    'e': 'AABAA',
    'f': 'AABAB',
    'g': 'AABBA',
    'h': 'AABBB',
    'i': 'ABAAA',
    'j': 'BBBAA',
    'k': 'ABAAB',
    'l': 'ABABA',
    'm': 'ABABB',
    'n': 'ABBAA',
    'o': 'ABBAB',
    'p': 'ABBBA',
    'q': 'ABBBB',
    'r': 'BAAAA',
    's': 'BAAAB',
    't': 'BAABA',
    'u': 'BAABB',
    'v': 'BBBAB',
    'w': 'BABAA',
    'x': 'BABAB',
    'y': 'BABBA',
    'z': 'BABBB',
    ' ': ' ',
}


A   : Union[str, Any]             =			{value: key for key, value in encode_dict.items()}





def       lowercase_      (		lowercase__						)   ->str:
						_snake_case:   Union[str, Any]  					=		''
						for letter in word.lower():
												if letter.isalpha() or letter == " ":
																		encoded += encode_dict[letter]
												else:
																		raise Exception('encode() accepts only letters of the alphabet and spaces'						)
						return encoded





def       lowercase_      (		lowercase__						)   ->str:
						if set(lowercase__						) - {"A", "B", " "} != set():
												raise Exception('decode() accepts only \'A\', \'B\' and spaces'						)
						_snake_case:   List[Any]  					=		''
						for word in coded.split():
												while len(lowercase__						) != 0:
																		decoded += decode_dict[word[:5]]
																		_snake_case:   Optional[int]  					=		word[5:]
												decoded += " "
						return decoded.strip()


if __name__ == "__main__":
		from doctest import testmod

		testmod()





