
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


SCREAMING_SNAKE_CASE							:List[Any]							 =				{
    'configuration_gpt_bigcode': ['GPT_BIGCODE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GPTBigCodeConfig'],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE							:Dict							 =				[
					    'GPT_BIGCODE_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'GPTBigCodeForSequenceClassification',
					    'GPTBigCodeForTokenClassification',
					    'GPTBigCodeForCausalLM',
					    'GPTBigCodeModel',
					    'GPTBigCodePreTrainedModel',
					]

if TYPE_CHECKING:
					from .configuration_gpt_bigcode import GPT_BIGCODE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTBigCodeConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_gpt_bigcode import (
										    GPT_BIGCODE_PRETRAINED_MODEL_ARCHIVE_LIST,
										    GPTBigCodeForCausalLM,
										    GPTBigCodeForSequenceClassification,
										    GPTBigCodeForTokenClassification,
										    GPTBigCodeModel,
										    GPTBigCodePreTrainedModel,
										)


else:
					import sys

					SCREAMING_SNAKE_CASE							:List[Any]							 =				_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



import math
import sys







def 			A_      (    _UpperCAmelCase    ):
						if number != int(_UpperCAmelCase    ):
												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_: List[str]  		=       [-1] * (number + 1)
						SCREAMING_SNAKE_CASE_: str  		=       0
						for i in range(1				,	number + 1    ):
												SCREAMING_SNAKE_CASE_: str  		=       sys.maxsize
												SCREAMING_SNAKE_CASE_: List[Any]  		=       int(math.sqrt(_UpperCAmelCase    )    )
												for j in range(1				,	root + 1    ):
																		SCREAMING_SNAKE_CASE_: List[str]  		=       1 + answers[i - (j**2)]
																		SCREAMING_SNAKE_CASE_: Optional[Any]  		=       min(_UpperCAmelCase				,	_UpperCAmelCase    )
												SCREAMING_SNAKE_CASE_: Dict  		=       answer
						return answers[number]


if __name__ == "__main__":
						import doctest

						doctest.testmod()






