"""simple docstring"""






from random import randint
from tempfile import TemporaryFile

import numpy as np


def      UpperCAmelCase__			(							lowerCAmelCase__	:int   ,						lowerCAmelCase__	:Tuple   ,						lowerCAmelCase__	:str						)					->       List[Any]:
      '''simple docstring'''


      lowercase								=      0
      if start < end:
            lowercase								=      randint(lowerCAmelCase__   ,						lowerCAmelCase__						)
            lowercase								=      a[end]
            lowercase								=      a[pivot]
            lowercase								=      temp

            lowercase				,				lowercase								=      _in_place_partition(lowerCAmelCase__   ,						lowerCAmelCase__   ,						lowerCAmelCase__						)
            count += _in_place_quick_sort(lowerCAmelCase__   ,						lowerCAmelCase__   ,						p - 1						)
            count += _in_place_quick_sort(lowerCAmelCase__   ,						p + 1   ,						lowerCAmelCase__						)
      return count


def      UpperCAmelCase__			(							lowerCAmelCase__	:Union[str, Any]   ,						lowerCAmelCase__	:str   ,						lowerCAmelCase__	:List[str]						)					->       Any:
      '''simple docstring'''


      lowercase								=      0
      lowercase								=      randint(lowerCAmelCase__   ,						lowerCAmelCase__						)
      lowercase								=      a[end]
      lowercase								=      a[pivot]
      lowercase								=      temp
      lowercase								=      start - 1
      for index in range(lowerCAmelCase__   ,						lowerCAmelCase__						):
            count += 1
            if a[index] < a[end]:  # check if current val is less than pivot value
                  lowercase								=      new_pivot_index + 1
                  lowercase								=      a[new_pivot_index]
                  lowercase								=      a[index]
                  lowercase								=      temp

      lowercase								=      a[new_pivot_index + 1]
      lowercase								=      a[end]
      lowercase								=      temp
      return new_pivot_index + 1, count


__lowerCAmelCase       :			List[Any]   	=TemporaryFile()
__lowerCAmelCase       :			int   	=1_0_0  # 1000 elements are to be sorted


__lowerCAmelCase	,	__lowerCAmelCase       :			Optional[int]   	=0, 1  # mean and standard deviation
__lowerCAmelCase       :			Optional[int]   	=np.random.normal(mu, sigma, p)
np.save(outfile, X)
print("""The array is""")
print(X)


outfile.seek(0)  # using the same array
__lowerCAmelCase       :			str   	=np.load(outfile)
__lowerCAmelCase       :			Tuple   	=len(M) - 1
__lowerCAmelCase       :			List[str]   	=_in_place_quick_sort(M, 0, r)

print(
    """No of Comparisons for 100 elements selected from a standard normal distribution"""
    """is :"""
)






print(z)




"""simple docstring"""






from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Sequence, Value
from .base import TaskTemplate





@dataclass(frozen=lowerCAmelCase      )
class 					_A		(			lowerCAmelCase      ):
      # `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
      snake_case__     :  str				    =      field(default='question-answering-extractive'    ,       metadata={'include_in_asdict_even_if_is_default': True}      )
      snake_case__     :  ClassVar[Features]				    =      Features({'question': Value('string'      ), 'context': Value('string'      )}      )
      snake_case__     :  ClassVar[Features]				    =      Features(
          {
              'answers': Sequence(
                  {
                      'text': Value('string'      ),
                      'answer_start': Value('int32'      ),
                  }      )
          }      )
      snake_case__     :  str				    =      "question"
      snake_case__     :  str				    =      "context"
      snake_case__     :  str				    =      "answers"

      @property
      def 							A__			(		self		):







            """simple docstring"""



            return {self.question_column: "question", self.context_column: "context", self.answers_column: "answers"}



