



"""simple docstring"""





import math




def 	UpperCAmelCase     (		A	:						list     ,				A	:						int       ):

		'''simple docstring'''


		_UpperCAmelCase							 =		len(A       )
		_UpperCAmelCase							 =		int(math.floor(math.sqrt(A       )       )       )
		_UpperCAmelCase							 =		0
		while arr[min(A     ,				A       ) - 1] < x:
				_UpperCAmelCase							 =		step
				step += int(math.floor(math.sqrt(A       )       )       )
				if prev >= n:
						return -1

		while arr[prev] < x:
				_UpperCAmelCase							 =		prev + 1
				if prev == min(A     ,				A       ):
						return -1
		if arr[prev] == x:
				return prev
		return -1


if __name__ == "__main__":
					lowercase  							=					input('''Enter numbers separated by a comma:\n''').strip()
					lowercase  							=					[int(item) for item in user_input.split(''',''')]
					lowercase  							=					int(input('''Enter the number to be searched:\n'''))
					lowercase  							=					jump_search(arr, x)
					if res == -1:
										print('''Number not found!''')
					else:
										print(F'''Number {x} is at index {res}''')







"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase  							=					{
    '''configuration_clipseg''': [
        '''CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''CLIPSegConfig''',
        '''CLIPSegTextConfig''',
        '''CLIPSegVisionConfig''',
    ],
    '''processing_clipseg''': ['''CLIPSegProcessor'''],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowercase  							=					[
					    '''CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''CLIPSegModel''',
					    '''CLIPSegPreTrainedModel''',
					    '''CLIPSegTextModel''',
					    '''CLIPSegVisionModel''',
					    '''CLIPSegForImageSegmentation''',
					]

if TYPE_CHECKING:
					from .configuration_clipseg import (
					    CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    CLIPSegConfig,
					    CLIPSegTextConfig,
					    CLIPSegVisionConfig,
					)
					from .processing_clipseg import CLIPSegProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_clipseg import (
										    CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST,
										    CLIPSegForImageSegmentation,
										    CLIPSegModel,
										    CLIPSegPreTrainedModel,
										    CLIPSegTextModel,
										    CLIPSegVisionModel,
										)

else:
					import sys

					lowercase  							=					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


