





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers
from tokenizers.pre_tokenizers import BertPreTokenizer, PreTokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roformer import RoFormerTokenizer
from .tokenization_utils import JiebaPreTokenizer


UpperCamelCase__											= logging.get_logger(__name__)

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

UpperCamelCase__											= {
    "vocab_file": {
        "junnyu/roformer_chinese_small": "https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/vocab.txt",
        "junnyu/roformer_chinese_base": "https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/vocab.txt",
        "junnyu/roformer_chinese_char_small": (
            "https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/vocab.txt"
        ),
        "junnyu/roformer_chinese_char_base": (
            "https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/vocab.txt"
        ),
        "junnyu/roformer_small_discriminator": (
            "https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/vocab.txt"
        ),
        "junnyu/roformer_small_generator": (
            "https://huggingface.co/junnyu/roformer_small_generator/resolve/main/vocab.txt"
        ),
    }
}

UpperCamelCase__											= {
    "junnyu/roformer_chinese_small": 1_536,
    "junnyu/roformer_chinese_base": 1_536,
    "junnyu/roformer_chinese_char_small": 512,
    "junnyu/roformer_chinese_char_base": 512,
    "junnyu/roformer_small_discriminator": 128,
    "junnyu/roformer_small_generator": 128,
}


UpperCamelCase__											= {
    "junnyu/roformer_chinese_small": {"do_lower_case": True},
    "junnyu/roformer_chinese_base": {"do_lower_case": True},
    "junnyu/roformer_chinese_char_small": {"do_lower_case": True},
    "junnyu/roformer_chinese_char_base": {"do_lower_case": True},
    "junnyu/roformer_small_discriminator": {"do_lower_case": True},
    "junnyu/roformer_small_generator": {"do_lower_case": True},
}

class        __SCREAMING_SNAKE_CASE					(     _a       ):
							snake_case     :      Union[str, Any]						     =       VOCAB_FILES_NAMES
							snake_case     :      Any						     =       PRETRAINED_VOCAB_FILES_MAP
							snake_case     :      List[str]						     =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							snake_case     :      List[str]						     =       PRETRAINED_INIT_CONFIGURATION
							snake_case     :      int						     =       RoFormerTokenizer






							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__(
														    __lowerCAmelCase  , tokenizer_file=__lowerCAmelCase  , do_lower_case=__lowerCAmelCase  , unk_token=__lowerCAmelCase  , sep_token=__lowerCAmelCase  , pad_token=__lowerCAmelCase  , cls_token=__lowerCAmelCase  , mask_token=__lowerCAmelCase  , tokenize_chinese_chars=__lowerCAmelCase  , strip_accents=__lowerCAmelCase  , **__lowerCAmelCase  , )

														UpperCamelCase__				     =			json.loads(self.backend_tokenizer.normalizer.__getstate__()  )
														if (
														    pre_tok_state.get("""lowercase"""  , __lowerCAmelCase  ) != do_lower_case
														    or pre_tok_state.get("""strip_accents"""  , __lowerCAmelCase  ) != strip_accents
														):
																					UpperCamelCase__				     =			getattr(__lowerCAmelCase  , pre_tok_state.pop("""type"""  )  )
																					UpperCamelCase__				     =			do_lower_case
																					UpperCamelCase__				     =			strip_accents
																					UpperCamelCase__				     =			pre_tok_class(**__lowerCAmelCase  )

														UpperCamelCase__				     =			do_lower_case






							def __getstate__(						self  ):
														UpperCamelCase__				     =			self.__dict__.copy()
														UpperCamelCase__				     =			BertPreTokenizer()
														return state






							def __setstate__(						self  , __lowerCAmelCase  ):
														UpperCamelCase__				     =			d
														UpperCamelCase__				     =			self.__dict__["""_tokenizer"""].get_vocab()
														UpperCamelCase__				     =			PreTokenizer.custom(JiebaPreTokenizer(__lowerCAmelCase  )  )






							def 				_lowerCamelCase		(						self  , __lowerCAmelCase  , __lowerCAmelCase=None  ):
														UpperCamelCase__				     =			[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 				_lowerCamelCase		(						self  , __lowerCAmelCase  , __lowerCAmelCase = None  ):
														UpperCamelCase__				     =			[self.sep_token_id]
														UpperCamelCase__				     =			[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  , __lowerCAmelCase  , __lowerCAmelCase = None  ):
														UpperCamelCase__				     =			self._tokenizer.model.save(__lowerCAmelCase  , name=__lowerCAmelCase  )
														return tuple(__lowerCAmelCase  )







							def 				_lowerCamelCase		(						self  , __lowerCAmelCase  , __lowerCAmelCase=None  , __lowerCAmelCase=None  , __lowerCAmelCase=False  , **__lowerCAmelCase  , ):
														UpperCamelCase__				     =			BertPreTokenizer()
														return super().save_pretrained(__lowerCAmelCase  , __lowerCAmelCase  , __lowerCAmelCase  , __lowerCAmelCase  , **__lowerCAmelCase  )











from math import ceil, sqrt





def     _UpperCamelCase     (a__   :int = 100_0000       ):






							"""simple docstring"""





							UpperCamelCase__				     =			0

							for outer_width in range(3   ,			(limit // 4) + 2       ):
														if outer_width**2 > limit:
																					UpperCamelCase__				     =			max(ceil(sqrt(outer_width**2 - limit       )       )   ,			1       )
														else:
																					UpperCamelCase__				     =			1
														if (outer_width - hole_width_lower_bound) % 2:
																					hole_width_lower_bound += 1

														answer += (outer_width - hole_width_lower_bound - 2) // 2 + 1

							return answer


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




