
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    SCREAMING_SNAKE_CASE__     (	UpperCAmelCase					):





	'''simple docstring'''



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


				'''simple docstring'''


				super().__init__(
				    split=lowercase			,  features=lowercase			,  cache_dir=lowercase			,  keep_in_memory=lowercase			,  streaming=lowercase			,  **lowercase			,  )
				_snake_case		=			load_from_cache_file
				_snake_case		=			file_format
				_snake_case		=			Spark(
				    df=lowercase			,  features=lowercase			,  cache_dir=lowercase			,  working_dir=lowercase			,  **lowercase			,  )





	def  A							(  self	:    List[Any]	):


				'''simple docstring'''


				if self.streaming:
							return self.builder.as_streaming_dataset(split=self.split	)
				_snake_case		=			None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
				self.builder.download_and_prepare(
				    download_mode=lowercase			,  file_format=self._file_format			,  )
				return self.builder.as_dataset(split=self.split	)

from collections.abc import Sequence






def        a_		(       __lowercase   :	Sequence[float]       ,					__lowercase   :	float ) ->  float:
			return sum(c * (x**i) for i, c in enumerate(__lowercase ) )






def        a_		(       __lowercase   :	Sequence[float]       ,					__lowercase   :	float ) ->  float:
			_snake_case		=			0.0
			for coeff in reversed(__lowercase ):
						_snake_case		=			result * x + coeff
			return result


if __name__ == "__main__":
			_lowerCamelCase       :				Optional[Any]       =			(0.0, 0.0, 5.0, 9.3, 7.0)
			_lowerCamelCase       :				Optional[int]       =			1_0.0
			print(evaluate_poly(poly, x))
			print(horner(poly, x))