






'''simple docstring'''

import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ....tokenization_utils_fast import PreTrainedTokenizerFast
from ....utils import logging
from .tokenization_retribert import RetriBertTokenizer


UpperCamelCase							=logging.get_logger(__name__)

UpperCamelCase							={"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

UpperCamelCase							={
    "vocab_file": {
        "yjernite/retribert-base-uncased": (
            "https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "yjernite/retribert-base-uncased": (
            "https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/tokenizer.json"
        ),
    },
}

UpperCamelCase							={
    "yjernite/retribert-base-uncased": 512,
}


UpperCamelCase							={
    "yjernite/retribert-base-uncased": {"do_lower_case": True},
}




class     A    (      __snake_case						):






 """simple docstring"""





 __a			:						List[str]      =						VOCAB_FILES_NAMES
 __a			:						str      =						PRETRAINED_VOCAB_FILES_MAP
 __a			:						Union[str, Any]      =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __a			:						List[Any]      =						PRETRAINED_INIT_CONFIGURATION
 __a			:						int      =						RetriBertTokenizer
 __a			:						Optional[Any]      =						['''input_ids''', '''attention_mask''']
 def __init__(							self			,     __lowerCAmelCase=None			,     __lowerCAmelCase=None			,     __lowerCAmelCase=True			,     __lowerCAmelCase="[UNK]"			,     __lowerCAmelCase="[SEP]"			,     __lowerCAmelCase="[PAD]"			,     __lowerCAmelCase="[CLS]"			,     __lowerCAmelCase="[MASK]"			,     __lowerCAmelCase=True			,     __lowerCAmelCase=None			,     **__lowerCAmelCase			,     ):
       super().__init__(
           _lowercase			,     tokenizer_file=_lowercase			,     do_lower_case=_lowercase			,     unk_token=_lowercase			,     sep_token=_lowercase			,     pad_token=_lowercase			,     cls_token=_lowercase			,     mask_token=_lowercase			,     tokenize_chinese_chars=_lowercase			,     strip_accents=_lowercase			,     **_lowercase			,     )

       UpperCamelCase_				:   Tuple					    =							json.loads(self.backend_tokenizer.normalizer.__getstate__() )
       if (
           normalizer_state.get("""lowercase"""			,     _lowercase ) != do_lower_case
           or normalizer_state.get("""strip_accents"""			,     _lowercase ) != strip_accents
           or normalizer_state.get("""handle_chinese_chars"""			,     _lowercase ) != tokenize_chinese_chars
       ):
             UpperCamelCase_				:   str					    =							getattr(_lowercase			,     normalizer_state.pop("""type""" ) )
             UpperCamelCase_				:   str					    =							do_lower_case
             UpperCamelCase_				:   str					    =							strip_accents
             UpperCamelCase_				:   List[str]					    =							tokenize_chinese_chars
             UpperCamelCase_				:   Optional[Any]					    =							normalizer_class(**_lowercase )

       UpperCamelCase_				:   List[Any]					    =							do_lower_case
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase=None ):
       UpperCamelCase_				:   Optional[Any]					    =							[self.cls_token_id] + token_ids_a + [self.sep_token_id]

       if token_ids_a:
             output += token_ids_a + [self.sep_token_id]

       return output
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase = None ):
       UpperCamelCase_				:   Union[str, Any]					    =							[self.sep_token_id]
       UpperCamelCase_				:   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   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase = None ):
       UpperCamelCase_				:   List[Any]					    =							self._tokenizer.model.save(_lowercase			,     name=_lowercase )
       return tuple(_lowercase )














'''simple docstring'''

from itertools import count



def 							snake_case					(     a_							: int = 50	)       ->				int:





      """simple docstring"""

      UpperCamelCase_				:   int					    =							[1] * min_block_length

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

            for block_length in range(a_    ,   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] > 1_000_000:
                  break

      return n


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






