




'''simple docstring'''





from typing import List, Optional, Tuple

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


_SCREAMING_SNAKE_CASE							:   List[Any]      		= logging.get_logger(__name__)

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

_SCREAMING_SNAKE_CASE							:   Dict      		= {
    "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							:   Any      		= {}




class  _snake_case		(	lowercase_							):
			lowerCAmelCase_     :      Optional[int]						       =    VOCAB_FILES_NAMES
			lowerCAmelCase_     :      int						       =    PRETRAINED_VOCAB_FILES_MAP
			lowerCAmelCase_     :      Optional[Any]						       =    PRETRAINED_INIT_CONFIGURATION
			lowerCAmelCase_     :      List[Any]						       =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCAmelCase_     :      str						       =    HerbertTokenizer




			def __init__(					self				,							a__=None				,							a__=None				,							a__=None				,							a__="<s>"				,							a__="<unk>"				,							a__="<pad>"				,							a__="<mask>"				,							a__="</s>"				,							**a__				,							)				->				List[str]:

										'''simple docstring'''




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




			def    lowerCAmelCase__				(					self				,							a__				,							a__ = None							)				->				List[int]:

										'''simple docstring'''




										snake_case_						=      [self.cls_token_id]
										snake_case_						=      [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				,							a__				,							a__ = None				,							a__ = False							)				->				List[int]:

										'''simple docstring'''




										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    lowerCAmelCase__				(					self				,							a__				,							a__ = None							)				->				List[int]:

										'''simple docstring'''




										snake_case_						=      [self.sep_token_id]
										snake_case_						=      [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				,							a__				,							a__ = None							)				->				Tuple[str]:

										'''simple docstring'''




										snake_case_						=      self._tokenizer.model.save(a__				,							name=a__							)
										return tuple(a__							)











from itertools import count


def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase = 50 )			->     int:
    lowerCamelCase__    :      Optional[Any]					 =		[1] * min_block_length

    for n in count(_UpperCAmelCase ):
        fill_count_functions.append(1 )

        for block_length in range(_UpperCAmelCase						,	n + 1 ):
            for block_start in range(n - block_length ):
                fill_count_functions[n] += fill_count_functions[
                    n - block_start - block_length - 1
                ]

            fill_count_functions[n] += 1

        if fill_count_functions[n] > 100_0000:
            break

    return n


if __name__ == "__main__":
    print(F"""{solution() = }""")





