


"""simple docstring"""
import math







def 						_a				(      _SCREAMING_SNAKE_CASE				)    ->				list[int]:
							snake_case_           =		[]
							snake_case_           =		2
							snake_case_           =		int(math.sqrt(__SCREAMING_SNAKE_CASE				)				)  # Size of every segment
							snake_case_           =		[True] * (end + 1)
							snake_case_           =		[]

							while start <= end:
														if temp[start] is True:
																					in_prime.append(__SCREAMING_SNAKE_CASE				)
																					for i in range(start * start				, end + 1				, __SCREAMING_SNAKE_CASE				):
																												snake_case_           =		False
														start += 1
							prime += in_prime

							snake_case_           =		end + 1
							snake_case_           =		min(2 * end				, __SCREAMING_SNAKE_CASE				)

							while low <= n:
														snake_case_           =		[True] * (high - low + 1)
														for each in in_prime:
																					snake_case_           =		math.floor(low / each				) * each
																					if t < low:
																												t += each

																					for j in range(__SCREAMING_SNAKE_CASE				, high + 1				, __SCREAMING_SNAKE_CASE				):
																												snake_case_           =		False

														for j in range(len(__SCREAMING_SNAKE_CASE				)				):
																					if temp[j] is True:
																												prime.append(j + low				)

														snake_case_           =		high + 1
														snake_case_           =		min(high + end				, __SCREAMING_SNAKE_CASE				)

							return prime





print(sieve(10**6))







"""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=snake_case__)
class      __A     (snake_case__):





							'''simple docstring'''

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



							def 		lowerCAmelCase       (				self							:      List[Any]		,       UpperCAmelCase_							:      Any       )					->int:



														"""simple docstring"""



														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]		,       UpperCAmelCase_       ):
																					raise ValueError(F"""Column {self.audio_column} is not an Audio type."""       )
														snake_case_           =		copy.deepcopy(self       )
														snake_case_           =		self.input_schema.copy()
														snake_case_           =		features[self.audio_column]
														snake_case_           =		input_schema
														return task_template



							@property
							def 		lowerCAmelCase       (				self							:      List[str]       )					->Dict[str, str]:



														"""simple docstring"""



														return {self.audio_column: "audio", self.transcription_column: "transcription"}



