




'''simple docstring'''







from __future__ import annotations

from functools import lru_cache
from math import ceil

A									=1_00

A									=set(range(3, NUM_PRIMES, 2))
primes.add(2)
A									=42

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 		snake_case_							(_a			:							int  ):
    if number_to_partition < 0:
        return set()
    elif number_to_partition == 0:
        return {1}

    UpperCAmelCase     =	set()
    UpperCAmelCase     =	42
    UpperCAmelCase     =	42

    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 		snake_case_							(_a			:							int = 5_0_0_0  ):
    for number_to_partition in range(1					,     _a  ):
        if len(partition(_a  )  ) > number_unique_partitions:
            return number_to_partition
    return None


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










'''simple docstring'''







import warnings

from ...utils import logging
from .image_processing_clip import CLIPImageProcessor


A									=logging.get_logger(__name__)


class     _a						(			__a				):
       def __init__(			self		:			List[str]     ,       *lowercase		:			List[str]     ,       **lowercase		:			Optional[int]       ):



           '''simple docstring'''

           warnings.warn(
               '''The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
               ''' use CLIPImageProcessor instead.'''     ,       lowercase     ,       )
           super().__init__(*lowercase     ,       **lowercase       )




