

'''simple docstring'''





def        UpperCAmelCase_     (		_A   ,	_A       ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					(boundary[1] - boundary[0]) / steps
     SCREAMING_SNAKE_CASE__					=					boundary[0]
     SCREAMING_SNAKE_CASE__					=					boundary[1]
     SCREAMING_SNAKE_CASE__					=					make_points(_A   ,	_A   ,	_A       )
     SCREAMING_SNAKE_CASE__					=					0.0
     y += (h / 2.0) * f(_A       )
     for i in x_i:
          # print(i)
          y += h * f(_A       )
     y += (h / 2.0) * f(_A       )
     return y
def        UpperCAmelCase_     (		_A   ,	_A   ,	_A       ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					a + h
     while x < (b - h):
          yield x
          SCREAMING_SNAKE_CASE__					=					x + h
def        UpperCAmelCase_     (		_A       ):  # enter your function here





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					(x - 0) * (x - 0)
     return y
def        UpperCAmelCase_     (		):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					0.0  # Lower bound of integration
     SCREAMING_SNAKE_CASE__					=					1.0  # Upper bound of integration
     SCREAMING_SNAKE_CASE__					=					10.0  # define number of steps or resolution
     SCREAMING_SNAKE_CASE__					=					[a, b]  # define boundary of integration
     SCREAMING_SNAKE_CASE__					=					method_a(_A   ,	_A       )
     print(F'''y = {y}'''       )


if __name__ == "__main__":
       main()





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

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






@dataclass(frozen=A__ )
class  UpperCAmelCase__	( A__ ):






  """simple docstring"""


  a     =      field(default="question-answering-extractive"		,  metadata={"include_in_asdict_even_if_is_default": True} )
  a     =      Features({"question": Value("string" ), "context": Value("string" )} )
  a     =      Features(
      {
          "answers": Sequence(
              {
                  "text": Value("string" ),
                  "answer_start": Value("int32" ),
              } )
      } )
  a     =      "question"
  a     =      "context"
  a     =      "answers"






  @property
  def    lowercase_	(							self		:	Dict      )	->							Dict[str, str]:
       return {self.question_column: "question", self.context_column: "context", self.answers_column: "answers"}


