

'''simple docstring'''

from __future__ import annotations





def __snake_case (				UpperCAmelCase_						:						list[int]		):
 lowerCamelCase_								=  [0] * len(SCREAMING_SNAKE_CASE_		)
 for i in range(1 ,    len(SCREAMING_SNAKE_CASE_		)		):
  lowerCamelCase_								=  duration_times[i - 1] + waiting_times[i - 1]
 return waiting_times





def __snake_case (				UpperCAmelCase_						:						list[int] ,    UpperCAmelCase_						:						list[int]		):
 return [
     duration_time + waiting_times[i]
     for i, duration_time in enumerate(SCREAMING_SNAKE_CASE_		)
 ]





def __snake_case (				UpperCAmelCase_						:						list[int]		):
 return sum(SCREAMING_SNAKE_CASE_		) / len(SCREAMING_SNAKE_CASE_		)





def __snake_case (				UpperCAmelCase_						:						list[int]		):
 return sum(SCREAMING_SNAKE_CASE_		) / len(SCREAMING_SNAKE_CASE_		)


if __name__ == "__main__":
     # process id's
     a_  :    Tuple      =			[1, 2, 3]

     # ensure that we actually have processes
     if len(processes) == 0:
          print("""Zero amount of processes""")
          raise SystemExit(0)

     # duration time of all processes
     a_  :    int      =			[19, 8, 9]

     # ensure we can match each id to a duration time
     if len(duration_times) != len(processes):
          print("""Unable to match all id's with their duration time""")
          raise SystemExit(0)

     # get the waiting times and the turnaround times
     a_  :    Any      =			calculate_waiting_times(duration_times)
     a_  :    Optional[int]      =			calculate_turnaround_times(duration_times, waiting_times)

     # get the average times
     a_  :    List[str]      =			calculate_average_waiting_time(waiting_times)
     a_  :    Dict      =			calculate_average_turnaround_time(turnaround_times)

     # print all the results
     print("""Process ID\tDuration Time\tWaiting Time\tTurnaround Time""")
     for i, process in enumerate(processes):
          print(
              f'''{process}\t\t{duration_times[i]}\t\t{waiting_times[i]}\t\t'''
              f'''{turnaround_times[i]}'''
          )
     print(f'''Average waiting time = {average_waiting_time}''')
     print(f'''Average turn around time = {average_turnaround_time}''')







'''simple docstring'''

import unittest

import numpy as np

from transformers import is_tf_available
from transformers.testing_utils import require_tf


if is_tf_available():
     import tensorflow as tf

     from transformers.activations_tf import get_tf_activation





@require_tf
class 					snake_case   (   unittest.TestCase      ):





  """simple docstring"""




  def   snake_case		(   self					):







   """simple docstring"""
   lowerCamelCase_								=  tf.constant([-100, -1.0, -0.1, 0, 0.1, 1.0, 100.0]					)
   lowerCamelCase_								=  get_tf_activation("gelu"					)
   lowerCamelCase_								=  get_tf_activation("gelu_10"					)

   lowerCamelCase_								=  gelu(UpperCamelCase					)
   lowerCamelCase_								=  geluaa(UpperCamelCase					)

   lowerCamelCase_								=  tf.where(y_gelu_aa < 10.0      ,  1.0      ,  0.0					)

   self.assertEqual(tf.math.reduce_max(UpperCamelCase					).numpy().item()      ,  10.0					)
   self.assertTrue(np.allclose(y_gelu * clipped_mask      ,  y_gelu_aa * clipped_mask					)					)







  def   snake_case		(   self					):







   """simple docstring"""
   get_tf_activation("gelu"					)
   get_tf_activation("gelu_10"					)
   get_tf_activation("gelu_fast"					)
   get_tf_activation("gelu_new"					)
   get_tf_activation("glu"					)
   get_tf_activation("mish"					)
   get_tf_activation("quick_gelu"					)
   get_tf_activation("relu"					)
   get_tf_activation("sigmoid"					)
   get_tf_activation("silu"					)
   get_tf_activation("swish"					)
   get_tf_activation("tanh"					)
   with self.assertRaises(UpperCamelCase					):
    get_tf_activation("bogus"					)
   with self.assertRaises(UpperCamelCase					):
    get_tf_activation(UpperCamelCase					)



