
from __future__ import annotations




def  __magic_name__ (   __lowerCAmelCase	:						list[int]		,  __lowerCAmelCase	:						int							)			->   bool:
				if len(__lowerCAmelCase							) == 0:
								return False
				__lowerCamelCase    					=	len(__lowerCAmelCase							) // 2
				if a_list[midpoint] == item:
								return True
				if item < a_list[midpoint]:
								return binary_search(a_list[:midpoint]		,  __lowerCAmelCase							)
				else:
								return binary_search(a_list[midpoint + 1 :]		,  __lowerCAmelCase							)


if __name__ == "__main__":
					SCREAMING_SNAKE_CASE__   :			Tuple												=    input("Enter numbers separated by comma:\n").strip()
					SCREAMING_SNAKE_CASE__   :			List[Any]												=    [int(item.strip()) for item in user_input.split(",")]
					SCREAMING_SNAKE_CASE__   :			int												=    int(input("Enter the number to be found in the list:\n").strip())
					SCREAMING_SNAKE_CASE__   :			Optional[int]												=    "" if binary_search(sequence, target) else "not "
					print(F'{target} was {not_str}found in {sequence}')





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


SCREAMING_SNAKE_CASE__   :			Optional[Any]												=    {"configuration_wavlm": ["WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "WavLMConfig"]}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE__   :			int												=    [
					    "WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "WavLMForAudioFrameClassification",
					    "WavLMForCTC",
					    "WavLMForSequenceClassification",
					    "WavLMForXVector",
					    "WavLMModel",
					    "WavLMPreTrainedModel",
					]

if TYPE_CHECKING:
					from .configuration_wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_wavlm import (
										    WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
										    WavLMForAudioFrameClassification,
										    WavLMForCTC,
										    WavLMForSequenceClassification,
										    WavLMForXVector,
										    WavLMModel,
										    WavLMPreTrainedModel,
										)

else:
					import sys

					SCREAMING_SNAKE_CASE__   :			int												=    _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



