



'''simple docstring'''




import math
import sys


def 				lowerCAmelCase_   (	_lowerCamelCase:   int					):
		if number != int(_lowerCamelCase					):
				raise ValueError("""the value of input must be a natural number"""					)
		if number < 0:
				raise ValueError("""the value of input must not be a negative number"""					)
		if number == 0:
				return 1
		__SCREAMING_SNAKE_CASE       :		Any           =		[-1] * (number + 1)
		__SCREAMING_SNAKE_CASE       :		Any           =		0
		for i in range(1       ,      number + 1					):
				__SCREAMING_SNAKE_CASE       :		Dict           =		sys.maxsize
				__SCREAMING_SNAKE_CASE       :		List[str]           =		int(math.sqrt(_lowerCamelCase					)					)
				for j in range(1       ,      root + 1					):
						__SCREAMING_SNAKE_CASE       :		int           =		1 + answers[i - (j**2)]
						__SCREAMING_SNAKE_CASE       :		str           =		min(_lowerCamelCase       ,      _lowerCamelCase					)
				__SCREAMING_SNAKE_CASE       :		str           =		answer
		return answers[number]


if __name__ == "__main__":
						import doctest

						doctest.testmod()




'''simple docstring'''




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase__       :	Any    = {
    '''configuration_instructblip''': [
        '''INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''InstructBlipConfig''',
        '''InstructBlipQFormerConfig''',
        '''InstructBlipVisionConfig''',
    ],
    '''processing_instructblip''': ['''InstructBlipProcessor'''],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase__       :	Optional[Any]    = [
						    '''INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
						    '''InstructBlipQFormerModel''',
						    '''InstructBlipPreTrainedModel''',
						    '''InstructBlipForConditionalGeneration''',
						    '''InstructBlipVisionModel''',
						]

if TYPE_CHECKING:
						from .configuration_instructblip import (
						    INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    InstructBlipConfig,
						    InstructBlipQFormerConfig,
						    InstructBlipVisionConfig,
						)
						from .processing_instructblip import InstructBlipProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_instructblip import (
												    INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
												    InstructBlipForConditionalGeneration,
												    InstructBlipPreTrainedModel,
												    InstructBlipQFormerModel,
												    InstructBlipVisionModel,
												)

else:
						import sys

						UpperCamelCase__       :	str    = _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)