




from collections.abc import Callable
from math import pi, sqrt
from random import uniform
from statistics import mean



def      __lowerCAmelCase			(					UpperCamelCase      )     ->	int:

  # A local function to see if a dot lands in the circle.
  def is_in_circle(UpperCamelCase	,      UpperCamelCase      ) -> bool:
    lowerCAmelCase__				:  Optional[int]		       =     sqrt((x**2) + (y**2)      )
    # Our circle has a radius of 1, so a distance
    # greater than 1 would land outside the circle.
    return distance_from_centre <= 1

  # The proportion of guesses that landed in the circle
  lowerCAmelCase__				:  Optional[int]		       =     mean(
      int(is_in_circle(uniform(-1.0	,      1.0      )	,      uniform(-1.0	,      1.0      )      )      )
      for _ in range(UpperCamelCase      )      )
  # The ratio of the area for circle to square is pi/4.
  lowerCAmelCase__				:  Union[str, Any]		       =     proportion * 4
  print(F"""The estimated value of pi is {pi_estimate}"""      )
  print(F"""The numpy value of pi is {pi}"""      )
  print(F"""The total error is {abs(pi - pi_estimate      )}"""      )



def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase = 0.0	,      UpperCamelCase = 1.0	,      )     ->	float:
  return mean(
      function_to_integrate(uniform(UpperCamelCase	,      UpperCamelCase      )      ) for _ in range(UpperCamelCase      )      ) * (max_value - min_value)



def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase = 0.0	,      UpperCamelCase = 1.0      )     ->	None:

  def identity_function(UpperCamelCase      ) -> float:
    return x

  lowerCAmelCase__				:  int		       =     area_under_curve_estimator(
      UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase      )
  lowerCAmelCase__				:  List[Any]		       =     (max_value * max_value - min_value * min_value) / 2

  print('''******************'''      )
  print(F"""Estimating area under y=x where x varies from {min_value} to {max_value}"""      )
  print(F"""Estimated value is {estimated_value}"""      )
  print(F"""Expected value is {expected_value}"""      )
  print(F"""Total error is {abs(estimated_value - expected_value      )}"""      )
  print('''******************'''      )



def      __lowerCAmelCase			(					UpperCamelCase      )     ->	None:

  def function_to_integrate(UpperCamelCase      ) -> float:
    return sqrt(4.0 - x * x      )

  lowerCAmelCase__				:  Optional[int]		       =     area_under_curve_estimator(
      UpperCamelCase	,      UpperCamelCase	,      0.0	,      2.0      )

  print('''******************'''      )
  print('''Estimating pi using area_under_curve_estimator'''      )
  print(F"""Estimated value is {estimated_value}"""      )
  print(F"""Expected value is {pi}"""      )
  print(F"""Total error is {abs(estimated_value - pi      )}"""      )
  print('''******************'''      )


if __name__ == "__main__":
     import doctest

     doctest.testmod()







import os
from datetime import datetime as dt

from github import Github


lowerCAmelCase_					    = [
    """good first issue""",
    """good second issue""",
    """good difficult issue""",
    """enhancement""",
    """new pipeline/model""",
    """new scheduler""",
    """wip""",
]



def      __lowerCAmelCase			(					)     ->	List[Any]:
  lowerCAmelCase__				:  str		       =     Github(os.environ['''GITHUB_TOKEN''']      )
  lowerCAmelCase__				:  str		       =     g.get_repo('''huggingface/diffusers'''      )
  lowerCAmelCase__				:  List[str]		       =     repo.get_issues(state='''open'''      )

  for issue in open_issues:
    lowerCAmelCase__				:  Optional[Any]		       =     sorted(issue.get_comments()	,      key=lambda UpperCamelCase      : i.created_at	,      reverse=UpperCamelCase      )
    lowerCAmelCase__				:  int		       =     comments[0] if len(UpperCamelCase      ) > 0 else None
    if (
        last_comment is not None
        and last_comment.user.login == "github-actions[bot]"
        and (dt.utcnow() - issue.updated_at).days > 7
        and (dt.utcnow() - issue.created_at).days >= 30
        and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()      )
    ):
      # Closes the issue after 7 days of inactivity since the Stalebot notification.
      issue.edit(state='''closed'''      )
    elif (
        "stale" in issue.get_labels()
        and last_comment is not None
        and last_comment.user.login != "github-actions[bot]"
    ):
      # Opens the issue if someone other than Stalebot commented.
      issue.edit(state='''open'''      )
      issue.remove_from_labels('''stale'''      )
    elif (
        (dt.utcnow() - issue.updated_at).days > 23
        and (dt.utcnow() - issue.created_at).days >= 30
        and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()      )
    ):
      # Post a Stalebot notification after 23 days of inactivity.
      issue.create_comment(
          '''This issue has been automatically marked as stale because it has not had '''
          '''recent activity. If you think this still needs to be addressed '''
          '''please comment on this thread.\n\nPlease note that issues that do not follow the '''
          '''[contributing guidelines](https://github.com/huggingface/diffusers/blob/main/CONTRIBUTING.md) '''
          '''are likely to be ignored.'''      )
      issue.add_to_labels('''stale'''      )


if __name__ == "__main__":
     main()

