import unittest

from transformers import AutoTokenizer, is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, slow


if is_flax_available():
      import jax.numpy as jnp

      from transformers import FlaxXLMRobertaModel






@require_sentencepiece
@require_tokenizers
@require_flax
class 		_lowerCamelCase		(   unittest.TestCase    ):
    @slow
    def 						UpperCamelCase_				(  self   )       ->					Dict:
     SCREAMING_SNAKE_CASE__:   Optional[int]=      FlaxXLMRobertaModel.from_pretrained('''xlm-roberta-base'''   )
     SCREAMING_SNAKE_CASE__:   Optional[int]=      AutoTokenizer.from_pretrained('''xlm-roberta-base'''   )
     SCREAMING_SNAKE_CASE__:   Dict=      '''The dog is cute and lives in the garden house'''
     SCREAMING_SNAKE_CASE__:   List[str]=      jnp.array([tokenizer.encode(lowerCAmelCase   )]   )

     SCREAMING_SNAKE_CASE__:   int=      (1, 12, 768)  # batch_size, sequence_length, embedding_vector_dim
     SCREAMING_SNAKE_CASE__:   Dict=      jnp.array(
         [[-0.0101, 0.1218, -0.0803, 0.0801, 0.1327, 0.0776, -0.1215, 0.2383, 0.3338, 0.3106, 0.0300, 0.0252]]   )

     SCREAMING_SNAKE_CASE__:   str=      model(lowerCAmelCase   )['''last_hidden_state''']
     self.assertEqual(output.shape , lowerCAmelCase   )
     # compare the actual values for a slice of last dim
     self.assertTrue(jnp.allclose(output[:, :, -1] , lowerCAmelCase , atol=1e-3   )   )


from __future__ import annotations

from statistics import mean







def 			A__      (	snake_case_ :		list[int]       ,				snake_case_ :		list[int]       ,				snake_case_ :		int      ):
 SCREAMING_SNAKE_CASE__:   Dict=      [0] * no_of_processes
 SCREAMING_SNAKE_CASE__:   Dict=      [0] * no_of_processes

 # Initialize remaining_time to waiting_time.

 for i in range(snake_case_      ):
  SCREAMING_SNAKE_CASE__:   List[str]=      burst_time[i]
 SCREAMING_SNAKE_CASE__:   list[int]=      []

 SCREAMING_SNAKE_CASE__:   List[Any]=      0
 SCREAMING_SNAKE_CASE__:   List[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__:   List[str]=      -1

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

  if len(snake_case_      ) > 0:
   SCREAMING_SNAKE_CASE__:   Optional[int]=      ready_process[0]
   for i in ready_process:
    if remaining_time[i] < remaining_time[target_process]:
     SCREAMING_SNAKE_CASE__:   int=      i
   total_time += burst_time[target_process]
   completed += 1
   SCREAMING_SNAKE_CASE__:   str=      0
   SCREAMING_SNAKE_CASE__:   Tuple=      (
       total_time - arrival_time[target_process] - burst_time[target_process]
   )
  else:
   total_time += 1

 return waiting_time







def 			A__      (	snake_case_ :		list[int]       ,				snake_case_ :		int       ,				snake_case_ :		list[int]      ):
 SCREAMING_SNAKE_CASE__:   List[str]=      [0] * no_of_processes
 for i in range(snake_case_      ):
  SCREAMING_SNAKE_CASE__:   Dict=      burst_time[i] + waiting_time[i]
 return turn_around_time


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

      lowercase_     :   List[Any] 				=				4
      lowercase_     :   str 				=				[2, 5, 3, 7]
      lowercase_     :   Union[str, Any] 				=				[0, 0, 0, 0]
      lowercase_     :   Any 				=				calculate_waitingtime(arrival_time, burst_time, no_of_processes)
      lowercase_     :   Optional[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}''')

