



"""simple docstring"""

from __future__ import annotations

from functools import lru_cache
from math import ceil

a_			   =					100

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 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  int			):



					"""simple docstring"""





					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 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  int = 5_0_0_0			):



					"""simple docstring"""





					for number_to_partition in range(1				,    SCREAMING_SNAKE_CASE__			):
										if len(partition(SCREAMING_SNAKE_CASE__			)			) > number_unique_partitions:
															return number_to_partition
					return None


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









"""simple docstring"""

import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, Features, Value
from .base import TaskTemplate







@dataclass(frozen=_UpperCAmelCase)
class    __lowercase     (					_UpperCAmelCase):







						"""simple docstring"""







						_A		:							str							       =		field(default="""automatic-speech-recognition"""					,    metadata={"""include_in_asdict_even_if_is_default""": True})
						_A		:							ClassVar[Features]							       =		Features({"""audio""": Audio()})
						_A		:							ClassVar[Features]							       =		Features({"""transcription""": Value("""string""")})
						_A		:							str							       =		"audio"
						_A		:							str							       =		"transcription"







						def 						__UpperCamelCase							(self   ,		lowercase__       ):
											if self.audio_column not in features:
																raise ValueError(f'Column {self.audio_column} is not present in features.'       )
											if not isinstance(features[self.audio_column]   ,		lowercase__       ):
																raise ValueError(f'Column {self.audio_column} is not an Audio type.'       )
											snake_case_					:		Optional[int] 					=					copy.deepcopy(self       )
											snake_case_					:		Tuple 					=					self.input_schema.copy()
											snake_case_					:		List[str] 					=					features[self.audio_column]
											snake_case_					:		Any 					=					input_schema
											return task_template







						@property
						def 						__UpperCamelCase							(self       ):
											return {self.audio_column: "audio", self.transcription_column: "transcription"}




