




"""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[Any]										=     logging.get_logger(__name__)

a_				:    Any										=     {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

a_				:    Union[str, 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_				:    Dict										=     {'allegro/herbert-base-cased': 5_14}
a_				:    Tuple										=     {}

class __lowercase(      lowercase__				):




					'''simple docstring'''


					__a						:						Union[str, Any]     		= VOCAB_FILES_NAMES
					__a						:						Dict     		= PRETRAINED_VOCAB_FILES_MAP
					__a						:						Any     		= PRETRAINED_INIT_CONFIGURATION
					__a						:						Any     		= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					__a						:						Optional[int]     		= HerbertTokenizer
					def __init__(    self						,	__a=None						,	__a=None						,	__a=None						,	__a="<s>"						,	__a="<unk>"						,	__a="<pad>"						,	__a="<mask>"						,	__a="</s>"						,	**__a						,	):
								super().__init__(
								    A__						,	A__						,	tokenizer_file=A__						,	cls_token=A__						,	unk_token=A__						,	pad_token=A__						,	mask_token=A__						,	sep_token=A__						,	**A__						,	)
					def     snake_case_				(    self						,	__a						,	__a = None     ):
								__lowerCamelCase					:	int	       =				[self.cls_token_id]
								__lowerCamelCase					:	Optional[Any]	       =				[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     snake_case_				(    self						,	__a						,	__a = None						,	__a = False     ):
								if already_has_special_tokens:
											return super().get_special_tokens_mask(
											    token_ids_a=A__						,	token_ids_a=A__						,	already_has_special_tokens=A__     )

								if token_ids_a is None:
											return [1] + ([0] * len(A__     )) + [1]
								return [1] + ([0] * len(A__     )) + [1] + ([0] * len(A__     )) + [1]
					def     snake_case_				(    self						,	__a						,	__a = None     ):
								__lowerCamelCase					:	Optional[Any]	       =				[self.sep_token_id]
								__lowerCamelCase					:	Optional[int]	       =				[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     snake_case_				(    self						,	__a						,	__a = None     ):
								__lowerCamelCase					:	List[str]	       =				self._tokenizer.model.save(A__						,	name=A__     )
								return tuple(A__     )









"""simple docstring"""
a_				:    Dict										=     {
    '''meter''': '''m''',
    '''kilometer''': '''km''',
    '''megametre''': '''Mm''',
    '''gigametre''': '''Gm''',
    '''terametre''': '''Tm''',
    '''petametre''': '''Pm''',
    '''exametre''': '''Em''',
    '''zettametre''': '''Zm''',
    '''yottametre''': '''Ym''',
}
# Exponent of the factor(meter)
a_				:    Optional[int]										=     {
    '''m''': 0,
    '''km''': 3,
    '''Mm''': 6,
    '''Gm''': 9,
    '''Tm''': 12,
    '''Pm''': 15,
    '''Em''': 18,
    '''Zm''': 21,
    '''Ym''': 24,
}





def 						UpperCAmelCase				(			A__:    float							,				A__:    str							,				A__:    str     )  ->     float:
			__lowerCamelCase					:	List[Any]	       =				from_type.lower().strip('s'     )
			__lowerCamelCase					:	Optional[int]	       =				to_type.lower().strip('s'     )

			__lowerCamelCase					:	int	       =				UNIT_SYMBOL.get(A__							,				A__     )
			__lowerCamelCase					:	Dict	       =				UNIT_SYMBOL.get(A__							,				A__     )

			if from_sanitized not in METRIC_CONVERSION:
						__lowerCamelCase					:	Dict	       =				(
						    f'''Invalid \'from_type\' value: {from_type!r}.\n'''
						    f'''Conversion abbreviations are: {", ".join(A__     )}'''
						)
						raise ValueError(A__     )
			if to_sanitized not in METRIC_CONVERSION:
						__lowerCamelCase					:	Any	       =				(
						    f'''Invalid \'to_type\' value: {to_type!r}.\n'''
						    f'''Conversion abbreviations are: {", ".join(A__     )}'''
						)
						raise ValueError(A__     )
			__lowerCamelCase					:	Any	       =				METRIC_CONVERSION[from_sanitized]
			__lowerCamelCase					:	Tuple	       =				METRIC_CONVERSION[to_sanitized]
			__lowerCamelCase					:	Any	       =				1

			if from_exponent > to_exponent:
						__lowerCamelCase					:	Union[str, Any]	       =				from_exponent - to_exponent
			else:
						__lowerCamelCase					:	List[Any]	       =				-(to_exponent - from_exponent)

			return value * pow(10							,				A__     )


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

					testmod()



