




"""simple docstring"""





import math
import sys

def 					_UpperCamelCase    (			UpperCamelCase							)			->			int:


			"""simple docstring"""
			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
			__UpperCAmelCase	: str		=					[-1] * (number + 1)
			__UpperCAmelCase	: Union[str, Any]		=					0
			for i in range(1				,       number + 1							):
						__UpperCAmelCase	: Tuple		=					sys.maxsize
						__UpperCAmelCase	: Tuple		=					int(math.sqrt(UpperCamelCase							)							)
						for j in range(1				,       root + 1							):
									__UpperCAmelCase	: int		=					1 + answers[i - (j**2)]
									__UpperCAmelCase	: List[Any]		=					min(UpperCamelCase				,       UpperCamelCase							)
						__UpperCAmelCase	: int		=					answer
			return answers[number]


if __name__ == "__main__":
					import doctest

					doctest.testmod()








"""simple docstring"""





from typing import Optional

import pyspark

from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader



class      a__				(	__magic_name__   ):


			def __init__(      self      :    List[Any]      ,  UpperCamelCase_      :    pyspark.sql.DataFrame      ,  UpperCamelCase_      :    Optional[NamedSplit] = None      ,  UpperCamelCase_      :    Optional[Features] = None      ,  UpperCamelCase_      :    bool = True      ,  UpperCamelCase_      :    str = None      ,  UpperCamelCase_      :    bool = False      ,  UpperCamelCase_      :    str = None      ,  UpperCamelCase_      :    bool = True      ,  UpperCamelCase_      :    str = "arrow"      ,  **UpperCamelCase_      :    Tuple      ,  ):


						"""simple docstring"""




						super().__init__(
						    split=UpperCamelCase_      ,  features=UpperCamelCase_      ,  cache_dir=UpperCamelCase_      ,  keep_in_memory=UpperCamelCase_      ,  streaming=UpperCamelCase_      ,  **UpperCamelCase_      ,  )
						__UpperCAmelCase	: List[Any]		=					load_from_cache_file
						__UpperCAmelCase	: List[Any]		=					file_format
						__UpperCAmelCase	: str		=					Spark(
						    df=UpperCamelCase_      ,  features=UpperCamelCase_      ,  cache_dir=UpperCamelCase_      ,  working_dir=UpperCamelCase_      ,  **UpperCamelCase_      ,  )


			def       a_     (      self      :    Union[str, Any]):


						"""simple docstring"""




						if self.streaming:
									return self.builder.as_streaming_dataset(split=self.split)
						__UpperCAmelCase	: List[Any]		=					None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
						self.builder.download_and_prepare(
						    download_mode=UpperCamelCase_      ,  file_format=self._file_format      ,  )
						return self.builder.as_dataset(split=self.split)


