






'''simple docstring'''



from __future__ import annotations

import time
from collections.abc import Sequence
from random import randint

from matplotlib import pyplot as plt


def 				lowercase_					(     __A			:							Sequence[float]       ,   __A			:							int       ,   __A			:							int      )							->   tuple[int | None, int | None, float]:



 """simple docstring"""




 if not arr:
  return None, None, 0
 if low == high:
  return low, high, arr[low]

 lowercase       : Dict						=(low + high) // 2
 lowercase	,		lowercase	,		lowercase       : List[Any]						=max_subarray(__A       ,   __A       ,   __A      )
 lowercase	,		lowercase	,		lowercase       : int						=max_subarray(__A       ,   mid + 1       ,   __A      )
 lowercase	,		lowercase	,		lowercase       : List[Any]						=max_cross_sum(__A       ,   __A       ,   __A       ,   __A      )
 if left_sum >= right_sum and left_sum >= cross_sum:
  return left_low, left_high, left_sum
 elif right_sum >= left_sum and right_sum >= cross_sum:
  return right_low, right_high, right_sum
 return cross_left, cross_right, cross_sum


def 				lowercase_					(     __A			:							Sequence[float]       ,   __A			:							int       ,   __A			:							int       ,   __A			:							int      )							->   tuple[int, int, float]:



 """simple docstring"""




 lowercase	,		lowercase       : Any						=float('''-inf'''      ), -1
 lowercase	,		lowercase       : int						=float('''-inf'''      ), -1

 lowercase       : int | float						=0
 for i in range(__A       ,   low - 1       ,   -1      ):
  summ += arr[i]
  if summ > left_sum:
   lowercase       : str						=summ
   lowercase       : Tuple						=i

 lowercase       : Optional[Any]						=0
 for i in range(mid + 1       ,   high + 1      ):
  summ += arr[i]
  if summ > right_sum:
   lowercase       : List[str]						=summ
   lowercase       : Tuple						=i

 return max_left, max_right, (left_sum + right_sum)


def 				lowercase_					(     __A			:							int      )							->   float:



 """simple docstring"""




 lowercase       : List[str]						=[randint(1       ,   __A      ) for _ in range(__A      )]
 lowercase       : str						=time.time()
 max_subarray(__A       ,   0       ,   input_size - 1      )
 lowercase       : List[str]						=time.time()
 return end - start


def 				lowercase_					(     )							->   None:



 """simple docstring"""




 lowercase       : Union[str, Any]						=[1_0, 1_0_0, 1_0_0_0, 1_0_0_0_0, 5_0_0_0_0, 1_0_0_0_0_0, 2_0_0_0_0_0, 3_0_0_0_0_0, 4_0_0_0_0_0, 5_0_0_0_0_0]
 lowercase       : Dict						=[time_max_subarray(__A      ) for input_size in input_sizes]
 print('''No of Inputs\t\tTime Taken'''      )
 for input_size, runtime in zip(__A       ,   __A      ):
  print(__A       ,   '''\t\t'''       ,   __A      )
 plt.plot(__A       ,   __A      )
 plt.xlabel('''Number of Inputs'''      )
 plt.ylabel('''Time taken in seconds'''      )
 plt.show()


if __name__ == "__main__":
      from doctest import testmod

      testmod()










'''simple docstring'''






from typing import Callable, Optional

from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream




class 					UpperCAmelCase	(     snake_case_  ):




      def __init__(     self     :					Union[str, Any]     ,     __snake_case     :					Callable     ,     __snake_case     :					Optional[Features] = None     ,     __snake_case     :					str = None     ,     __snake_case     :					bool = False     ,     __snake_case     :					bool = False     ,     __snake_case     :					Optional[dict] = None     ,     __snake_case     :					Optional[int] = None     ,     **__snake_case     :					Optional[Any]     ,     )							-> Union[str, Any]:
            super().__init__(
                features=__snake_case     ,     cache_dir=__snake_case     ,     keep_in_memory=__snake_case     ,     streaming=__snake_case     ,     num_proc=__snake_case     ,     **__snake_case     ,     )
            _lowerCAmelCase					=				Generator(
                cache_dir=__snake_case     ,     features=__snake_case     ,     generator=__snake_case     ,     gen_kwargs=__snake_case     ,     **__snake_case     ,     )




      def 							lowercase__       (     self     :					str    )							-> Dict:
            # Build iterable dataset
            if self.streaming:
                  _lowerCAmelCase					=				self.builder.as_streaming_dataset(split="""train"""    )
            # Build regular (map-style) dataset
            else:
                  _lowerCAmelCase					=				None
                  _lowerCAmelCase					=				None
                  _lowerCAmelCase					=				None
                  _lowerCAmelCase					=				None

                  self.builder.download_and_prepare(
                      download_config=__snake_case     ,     download_mode=__snake_case     ,     verification_mode=__snake_case     ,     base_path=__snake_case     ,     num_proc=self.num_proc     ,     )
                  _lowerCAmelCase					=				self.builder.as_dataset(
                      split="""train"""     ,     verification_mode=__snake_case     ,     in_memory=self.keep_in_memory    )
            return dataset






