from typing import List, Optional, Tuple

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


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

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

SCREAMING_SNAKE_CASE		:     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"
    },
}

SCREAMING_SNAKE_CASE		:     Optional[int]         =	{"allegro/herbert-base-cased": 514}
SCREAMING_SNAKE_CASE		:     str         =	{}

class        UpperCamelCase						(				__a				):
						a__		:int      =			VOCAB_FILES_NAMES
						a__		:str      =			PRETRAINED_VOCAB_FILES_MAP
						a__		:Tuple      =			PRETRAINED_INIT_CONFIGURATION
						a__		:Tuple      =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						a__		:Union[str, Any]      =			HerbertTokenizer





						def __init__(self			,     __UpperCamelCase=None			,     __UpperCamelCase=None			,     __UpperCamelCase=None			,     __UpperCamelCase="<s>"			,     __UpperCamelCase="<unk>"			,     __UpperCamelCase="<pad>"			,     __UpperCamelCase="<mask>"			,     __UpperCamelCase="</s>"			,     **__UpperCamelCase			,     )				->				Optional[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        A_							(self			,     __UpperCamelCase			,     __UpperCamelCase = None						)				->				List[int]:
												UpperCamelCase_		:							Dict  =		[self.cls_token_id]
												UpperCamelCase_		:							Tuple  =		[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        A_							(self			,     __UpperCamelCase			,     __UpperCamelCase = None			,     __UpperCamelCase = False						)				->				List[int]:
												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        A_							(self			,     __UpperCamelCase			,     __UpperCamelCase = None						)				->				List[int]:
												UpperCamelCase_		:							Dict  =		[self.sep_token_id]
												UpperCamelCase_		:							Tuple  =		[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        A_							(self			,     __UpperCamelCase			,     __UpperCamelCase = None						)				->				Tuple[str]:
												UpperCamelCase_		:							Optional[Any]  =		self._tokenizer.model.save(__UpperCamelCase			,     name=__UpperCamelCase						)
												return tuple(__UpperCamelCase						)







from __future__ import annotations






def     lowerCAmelCase_			(   _SCREAMING_SNAKE_CASE     :				float		, _SCREAMING_SNAKE_CASE     :				float		, _SCREAMING_SNAKE_CASE     :				float		, ):
						if (electron_conc, hole_conc, intrinsic_conc).count(0			) != 1:
												raise ValueError("""You cannot supply more or less than 2 values"""			)
						elif electron_conc < 0:
												raise ValueError("""Electron concentration cannot be negative in a semiconductor"""			)
						elif hole_conc < 0:
												raise ValueError("""Hole concentration cannot be negative in a semiconductor"""			)
						elif intrinsic_conc < 0:
												raise ValueError(
												    """Intrinsic concentration cannot be negative in a semiconductor"""			)
						elif electron_conc == 0:
												return (
												    "electron_conc",
												    intrinsic_conc**2 / hole_conc,
												)
						elif hole_conc == 0:
												return (
												    "hole_conc",
												    intrinsic_conc**2 / electron_conc,
												)
						elif intrinsic_conc == 0:
												return (
												    "intrinsic_conc",
												    (electron_conc * hole_conc) ** 0.5,
												)
						else:
												return (-1, -1)


if __name__ == "__main__":
	import doctest

	doctest.testmod()






