'''simple docstring'''





import gc
import unittest

from diffusers import FlaxStableDiffusionInpaintPipeline
from diffusers.utils import is_flax_available, load_image, slow
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
 import jax
 import jax.numpy as jnp
 from flax.jax_utils import replicate
 from flax.training.common_utils import shard






@slow
@require_flax
class 				UpperCAmelCase (       unittest.TestCase ):




    '''simple docstring'''







    def       _UpperCamelCase    (       self )							-> Union[str, Any]:
         # clean up the VRAM after each test
         super().tearDown()
         gc.collect()






    def       _UpperCamelCase    (       self )							-> Any:
         SCREAMING_SNAKE_CASE					:			str    	=       load_image(
             'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
             '/sd2-inpaint/init_image.png' )
         SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       load_image(
             'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd2-inpaint/mask.png' )

         SCREAMING_SNAKE_CASE					:			str    	=       'xvjiarui/stable-diffusion-2-inpainting'
         SCREAMING_SNAKE_CASE	,   SCREAMING_SNAKE_CASE					:			Optional[int]    	=       FlaxStableDiffusionInpaintPipeline.from_pretrained(lowercase__    ,							safety_checker=lowercase__ )

         SCREAMING_SNAKE_CASE					:			str    	=       'Face of a yellow cat, high resolution, sitting on a park bench'

         SCREAMING_SNAKE_CASE					:			List[str]    	=       jax.random.PRNGKey(0 )
         SCREAMING_SNAKE_CASE					:			Any    	=       50

         SCREAMING_SNAKE_CASE					:			Union[str, Any]    	=       jax.device_count()
         SCREAMING_SNAKE_CASE					:			Any    	=       num_samples * [prompt]
         SCREAMING_SNAKE_CASE					:			List[Any]    	=       num_samples * [init_image]
         SCREAMING_SNAKE_CASE					:			Dict    	=       num_samples * [mask_image]
         SCREAMING_SNAKE_CASE	,   SCREAMING_SNAKE_CASE	,   SCREAMING_SNAKE_CASE					:			Any    	=       pipeline.prepare_inputs(lowercase__    ,							lowercase__    ,							lowercase__ )

         # shard inputs and rng
         SCREAMING_SNAKE_CASE					:			Union[str, Any]    	=       replicate(lowercase__ )
         SCREAMING_SNAKE_CASE					:			Optional[int]    	=       jax.random.split(lowercase__    ,							jax.device_count() )
         SCREAMING_SNAKE_CASE					:			Union[str, Any]    	=       shard(lowercase__ )
         SCREAMING_SNAKE_CASE					:			str    	=       shard(lowercase__ )
         SCREAMING_SNAKE_CASE					:			int    	=       shard(lowercase__ )

         SCREAMING_SNAKE_CASE					:			Any    	=       pipeline(
             lowercase__    ,							lowercase__    ,							lowercase__    ,							lowercase__    ,							lowercase__    ,							lowercase__    ,							jit=lowercase__ )

         SCREAMING_SNAKE_CASE					:			str    	=       output.images.reshape(lowercase__    ,							512    ,							512    ,							3 )

         SCREAMING_SNAKE_CASE					:			int    	=       images[0, 253:256, 253:256, -1]

         SCREAMING_SNAKE_CASE					:			List[str]    	=       jnp.asarray(jax.device_get(image_slice.flatten() ) )
         SCREAMING_SNAKE_CASE					:			Any    	=       jnp.array(
             [0.3_6_1_1_3_0_7, 0.3_7_6_4_9_7_3_6, 0.3_7_5_7_4_0_8, 0.3_8_2_1_3_9_5_3, 0.3_9_2_9_5_1_6_7, 0.3_8_4_1_6_3_1, 0.4_1_5_5_4_9_7_8, 0.4_1_3_7_4_7_5, 0.4_2_1_7_0_8_4] )
         print(F"""output_slice: {output_slice}""" )
         assert jnp.abs(output_slice - expected_slice ).max() < 1E-2




'''simple docstring'''





from __future__ import annotations

from statistics import mean


def     __lowerCAmelCase						(       a_       ,      a_       ,      a_		)      ->	list[int]:





     '''simple docstring'''





     SCREAMING_SNAKE_CASE					:			Union[str, Any]    	=       [0] * no_of_processes
     SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       [0] * no_of_processes

     # Initialize remaining_time to waiting_time.

     for i in range(a_		):
          SCREAMING_SNAKE_CASE					:			Tuple    	=       burst_time[i]
     SCREAMING_SNAKE_CASE					:			list[int]    	=       []

     SCREAMING_SNAKE_CASE					:			List[Any]    	=       0
     SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       0

     # When processes are not completed,
     # A process whose arrival time has passed \
     # and has remaining execution time is put into the ready_process.
     # The shortest process in the ready_process, target_process is executed.

     while completed != no_of_processes:
          SCREAMING_SNAKE_CASE					:			Optional[int]    	=       []
          SCREAMING_SNAKE_CASE					:			Dict    	=       -1

          for i in range(a_		):
               if (arrival_time[i] <= total_time) and (remaining_time[i] > 0):
                    ready_process.append(a_		)

          if len(a_		) > 0:
               SCREAMING_SNAKE_CASE					:			Dict    	=       ready_process[0]
               for i in ready_process:
                    if remaining_time[i] < remaining_time[target_process]:
                         SCREAMING_SNAKE_CASE					:			Union[str, Any]    	=       i
               total_time += burst_time[target_process]
               completed += 1
               SCREAMING_SNAKE_CASE					:			Union[str, Any]    	=       0
               SCREAMING_SNAKE_CASE					:			Tuple    	=       (
                   total_time - arrival_time[target_process] - burst_time[target_process]
               )
          else:
               total_time += 1

     return waiting_time


def     __lowerCAmelCase						(       a_       ,      a_       ,      a_		)      ->	list[int]:





     '''simple docstring'''





     SCREAMING_SNAKE_CASE					:			List[Any]    	=       [0] * no_of_processes
     for i in range(a_		):
          SCREAMING_SNAKE_CASE					:			List[Any]    	=       burst_time[i] + waiting_time[i]
     return turn_around_time


if __name__ == "__main__":
 print("""[TEST CASE 01]""")

 _lowerCAmelCase  :Optional[int]  				=    4
 _lowerCAmelCase  :Optional[int]  				=    [2, 5, 3, 7]
 _lowerCAmelCase  :List[str]  				=    [0, 0, 0, 0]
 _lowerCAmelCase  :Union[str, Any]  				=    calculate_waitingtime(arrival_time, burst_time, no_of_processes)
 _lowerCAmelCase  :Any  				=    calculate_turnaroundtime(
     burst_time, no_of_processes, waiting_time
 )

 # Printing the Result
 print("""PID\tBurst Time\tArrival Time\tWaiting Time\tTurnaround Time""")
 for i, process_id in enumerate(list(range(1, 5))):
  print(
      f"""{process_id}\t{burst_time[i]}\t\t\t{arrival_time[i]}\t\t\t\t"""
      f"""{waiting_time[i]}\t\t\t\t{turn_around_time[i]}"""
  )
 print(f"""\nAverage waiting time = {mean(waiting_time):.5f}""")
 print(f"""Average turnaround time = {mean(turn_around_time):.5f}""")



