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







def        A_     (						__SCREAMING_SNAKE_CASE						:  int )				->       Optional[Any]:





  """simple docstring"""

  def is_in_circle(__SCREAMING_SNAKE_CASE						:  float			,     __SCREAMING_SNAKE_CASE						:  float ) -> bool:
    __A		:     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
  __A		:     str												=		mean(
      int(is_in_circle(uniform(-1.0			,     1.0 )			,     uniform(-1.0			,     1.0 ) ) )
      for _ in range(__SCREAMING_SNAKE_CASE ) )
  # The ratio of the area for circle to square is pi/4.
  __A		:     Tuple												=		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        A_     (						__SCREAMING_SNAKE_CASE						:  int			,     __SCREAMING_SNAKE_CASE						:  Callable[[float], float]			,     __SCREAMING_SNAKE_CASE						:  float = 0.0			,     __SCREAMING_SNAKE_CASE						:  float = 1.0			,     )				->       float:





  """simple docstring"""

  return mean(
      function_to_integrate(uniform(__SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE ) ) for _ in range(__SCREAMING_SNAKE_CASE ) ) * (max_value - min_value)







def        A_     (						__SCREAMING_SNAKE_CASE						:  int			,     __SCREAMING_SNAKE_CASE						:  float = 0.0			,     __SCREAMING_SNAKE_CASE						:  float = 1.0 )				->       None:





  """simple docstring"""

  def identity_function(__SCREAMING_SNAKE_CASE						:  float ) -> float:
    return x

  __A		:     int												=		area_under_curve_estimator(
      __SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE )
  __A		:     Optional[int]												=		(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        A_     (						__SCREAMING_SNAKE_CASE						:  int )				->       None:





  """simple docstring"""

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

  __A		:     str												=		area_under_curve_estimator(
      __SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE			,     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()





'''simple docstring'''
import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links







def        A_     (						__SCREAMING_SNAKE_CASE						:  List[str]			,     __SCREAMING_SNAKE_CASE						:  Optional[int]=7 )				->       List[Any]:





  """simple docstring"""

  __A		:     Optional[int]												=		None
  if token is not None:
    __A		:     str												=		{"""Accept""": """application/vnd.github+json""", """Authorization""": F"Bearer {token}"}

  # The id of a workflow (not of a workflow run)
  __A		:     Union[str, Any]												=		"""636036"""

  __A		:     Optional[int]												=		F"https://api.github.com/repos/huggingface/transformers/actions/workflows/{workflow_id}/runs"
  # On `main` branch + event being `schedule` + not returning PRs + only `num_runs` results
  url += F"?branch=main&event=schedule&exclude_pull_requests=true&per_page={num_runs}"

  __A		:     int												=		requests.get(__SCREAMING_SNAKE_CASE			,     headers=__SCREAMING_SNAKE_CASE ).json()

  return result["workflow_runs"]







def        A_     (						__SCREAMING_SNAKE_CASE						:  Union[str, Any] )				->       Tuple:





  """simple docstring"""

  __A		:     str												=		get_daily_ci_runs(__SCREAMING_SNAKE_CASE )
  __A		:     List[Any]												=		None
  for workflow_run in workflow_runs:
    if workflow_run["status"] == "completed":
      __A		:     Dict												=		workflow_run["""id"""]
      break

  return workflow_run_id







def        A_     (						__SCREAMING_SNAKE_CASE						:  List[Any]			,     __SCREAMING_SNAKE_CASE						:  Any			,     __SCREAMING_SNAKE_CASE						:  Tuple )				->       Tuple:





  """simple docstring"""

  __A		:     Dict												=		get_last_daily_ci_runs(__SCREAMING_SNAKE_CASE )
  if workflow_run_id is not None:
    __A		:     str												=		get_artifacts_links(worflow_run_id=__SCREAMING_SNAKE_CASE			,     token=__SCREAMING_SNAKE_CASE )
    for artifact_name in artifact_names:
      if artifact_name in artifacts_links:
        __A		:     List[Any]												=		artifacts_links[artifact_name]
        download_artifact(
            artifact_name=__SCREAMING_SNAKE_CASE			,     artifact_url=__SCREAMING_SNAKE_CASE			,     output_dir=__SCREAMING_SNAKE_CASE			,     token=__SCREAMING_SNAKE_CASE )







def        A_     (						__SCREAMING_SNAKE_CASE						:  List[Any]			,     __SCREAMING_SNAKE_CASE						:  Optional[int]			,     __SCREAMING_SNAKE_CASE						:  Optional[Any] )				->       Union[str, Any]:





  """simple docstring"""

  get_last_daily_ci_artifacts(__SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE )

  __A		:     List[Any]												=		{}
  for artifact_name in artifact_names:
    __A		:     Any												=		os.path.join(__SCREAMING_SNAKE_CASE			,     F"{artifact_name}.zip" )
    if os.path.isfile(__SCREAMING_SNAKE_CASE ):
      __A		:     str												=		{}
      with zipfile.ZipFile(__SCREAMING_SNAKE_CASE ) as z:
        for filename in z.namelist():
          if not os.path.isdir(__SCREAMING_SNAKE_CASE ):
            # read the file
            with z.open(__SCREAMING_SNAKE_CASE ) as f:
              __A		:     Tuple												=		f.read().decode("""UTF-8""" )

  return results



