


import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
			from .tokenization_fnet import FNetTokenizer
else:
			_snake_case					:		Optional[Any]      =    None

_snake_case					:		int      =    logging.get_logger(__name__)
_snake_case					:		Tuple      =    {"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

_snake_case					:		Optional[Any]      =    {
    "vocab_file": {
        "google/fnet-base": "https://huggingface.co/google/fnet-base/resolve/main/spiece.model",
        "google/fnet-large": "https://huggingface.co/google/fnet-large/resolve/main/spiece.model",
    },
    "tokenizer_file": {
        "google/fnet-base": "https://huggingface.co/google/fnet-base/resolve/main/tokenizer.json",
        "google/fnet-large": "https://huggingface.co/google/fnet-large/resolve/main/tokenizer.json",
    },
}

_snake_case					:		Dict      =    {
    "google/fnet-base": 512,
    "google/fnet-large": 512,
}

_snake_case					:		Optional[Any]      =    "▁"

class     a		(_lowerCAmelCase				):




							"""simple docstring"""


							__UpperCAmelCase   :							Optional[Any]					  =  VOCAB_FILES_NAMES
							__UpperCAmelCase   :							int					  =  PRETRAINED_VOCAB_FILES_MAP
							__UpperCAmelCase   :							Any					  =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__UpperCAmelCase   :							int					  =  ["input_ids", "token_type_ids"]
							__UpperCAmelCase   :							Union[str, Any]					  =  FNetTokenizer

							def __init__(							self	:  List[Any]   ,     lowerCamelCase	:  Optional[Any]=None   ,     lowerCamelCase	:  str=None   ,     lowerCamelCase	:  Optional[int]=False   ,     lowerCamelCase	:  List[str]=True   ,     lowerCamelCase	:  Any=True   ,     lowerCamelCase	:  Optional[Any]="<unk>"   ,     lowerCamelCase	:  int="[SEP]"   ,     lowerCamelCase	:  Union[str, Any]="<pad>"   ,     lowerCamelCase	:  List[Any]="[CLS]"   ,     lowerCamelCase	:  int="[MASK]"   ,     **lowerCamelCase	:  List[Any]   ,     )     ->   Union[str, Any]:
														# Mask token behave like a normal word, i.e. include the space before it and
														# is included in the raw text, there should be a match in a non-normalized sentence.
														__snake_case		:      Dict										=       (
														    AddedToken(lowerCamelCase   ,     lstrip=lowerCamelCase   ,     rstrip=lowerCamelCase   ,     normalized=lowerCamelCase    )
														    if isinstance(lowerCamelCase   ,     lowerCamelCase    )
														    else mask_token
														)

														super().__init__(
														    lowerCamelCase   ,     tokenizer_file=lowerCamelCase   ,     do_lower_case=lowerCamelCase   ,     remove_space=lowerCamelCase   ,     keep_accents=lowerCamelCase   ,     unk_token=lowerCamelCase   ,     sep_token=lowerCamelCase   ,     pad_token=lowerCamelCase   ,     cls_token=lowerCamelCase   ,     mask_token=lowerCamelCase   ,     **lowerCamelCase   ,     )

														__snake_case		:      Dict										=       do_lower_case
														__snake_case		:      str										=       remove_space
														__snake_case		:      Tuple										=       keep_accents
														__snake_case		:      str										=       vocab_file
														__snake_case		:      List[Any]										=       False if not self.vocab_file else True

							def    __snake_case (							self	:  int   ,     lowerCamelCase	:  List[int]   ,     lowerCamelCase	:  Optional[List[int]] = None    )     ->   List[int]:
														__snake_case		:      Any										=       [self.sep_token_id]
														__snake_case		:      Any										=       [self.cls_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	:  Any   ,     lowerCamelCase	:  List[int]   ,     lowerCamelCase	:  Optional[List[int]] = None    )     ->   List[int]:
														__snake_case		:      Dict										=       [self.sep_token_id]
														__snake_case		:      Any										=       [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	:  List[Any]   ,     lowerCamelCase	:  str   ,     lowerCamelCase	:  Optional[str] = None    )     ->   Tuple[str]:
														if not os.path.isdir(lowerCamelCase    ):
																					logger.error(F'Vocabulary path ({save_directory}) should be a directory'    )
																					return
														__snake_case		:      Optional[Any]										=       os.path.join(
														    lowerCamelCase   ,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]    )

														if os.path.abspath(self.vocab_file    ) != os.path.abspath(lowerCamelCase    ):
																					copyfile(self.vocab_file   ,     lowerCamelCase    )

														return (out_vocab_file,)





from __future__ import annotations

from functools import lru_cache
from math import ceil

_snake_case					:		Tuple      =    100

_snake_case					:		int      =    set(range(3, NUM_PRIMES, 2))
primes.add(2)
_snake_case					:		int

for prime in range(3, ceil(NUM_PRIMES**0.5), 2):
			if prime not in primes:
						continue
			primes.difference_update(set(range(prime * prime, NUM_PRIMES, prime)))







@lru_cache(maxsize=1_0_0     )
def     lowerCAmelCase_					( __lowerCamelCase     ):
							if number_to_partition < 0:
														return set()
							elif number_to_partition == 0:
														return {1}

							__snake_case		:      set[int]										=       set()
							__snake_case		:      int
							__snake_case		:      int

							for prime in primes:
														if prime > number_to_partition:
																					continue
														for sub in partition(number_to_partition - prime     ):
																					ret.add(sub * prime     )

							return ret







def     lowerCAmelCase_					( __lowerCamelCase = 5_0_0_0     ):
							for number_to_partition in range(1							,     __lowerCamelCase     ):
														if len(partition(__lowerCamelCase     )     ) > number_unique_partitions:
																					return number_to_partition
							return None


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

