




"""simple docstring"""





from __future__ import annotations

def 					_UpperCamelCase    (			UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase							)			->			Optional[int]:


			"""simple docstring"""
			if days_between_payments <= 0:
						raise ValueError("days_between_payments must be > 0"							)
			if daily_interest_rate < 0:
						raise ValueError("daily_interest_rate must be >= 0"							)
			if principal <= 0:
						raise ValueError("principal must be > 0"							)
			return principal * daily_interest_rate * days_between_payments

def 					_UpperCamelCase    (			UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase				,       )			->			Union[str, Any]:


			"""simple docstring"""
			if number_of_compounding_periods <= 0:
						raise ValueError("number_of_compounding_periods must be > 0"							)
			if nominal_annual_interest_rate_percentage < 0:
						raise ValueError("nominal_annual_interest_rate_percentage must be >= 0"							)
			if principal <= 0:
						raise ValueError("principal must be > 0"							)

			return principal * (
			    (1 + nominal_annual_interest_rate_percentage) ** number_of_compounding_periods
			    - 1
			)

def 					_UpperCamelCase    (			UpperCamelCase				,       UpperCamelCase				,       UpperCamelCase				,       )			->			Tuple:


			"""simple docstring"""
			if number_of_years <= 0:
						raise ValueError("number_of_years must be > 0"							)
			if nominal_annual_percentage_rate < 0:
						raise ValueError("nominal_annual_percentage_rate must be >= 0"							)
			if principal <= 0:
						raise ValueError("principal must be > 0"							)

			return compound_interest(
			    __A				,       nominal_annual_percentage_rate / 365				,       number_of_years * 365							)


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)


