






"""simple docstring"""







from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


lowerCAmelCase_	:    Optional[int]            =      logging.get_logger(__name__)





class   UpperCamelCase_ (       a_   ,					a_  ):
  _A       :					Dict				=	'maskformer-swin'

  _A       :					Tuple				=	{
      'num_attention_heads': 'num_heads',
      'num_hidden_layers': 'num_layers',
  }



  def __init__(      self ,		snake_case__=2_24 ,		snake_case__=4 ,		snake_case__=3 ,		snake_case__=96 ,		snake_case__=[2, 2, 6, 2] ,		snake_case__=[3, 6, 12, 24] ,		snake_case__=7 ,		snake_case__=4.0 ,		snake_case__=True ,		snake_case__=0.0 ,		snake_case__=0.0 ,		snake_case__=0.1 ,		snake_case__="gelu" ,		snake_case__=False ,		snake_case__=0.02 ,		snake_case__=1e-5 ,		snake_case__=None ,		snake_case__=None ,		**snake_case__ ,		)			->			Any:



         """simple docstring"""





         super().__init__(**snake_case__				)

         UpperCAmelCase	    =			image_size
         UpperCAmelCase	    =			patch_size
         UpperCAmelCase	    =			num_channels
         UpperCAmelCase	    =			embed_dim
         UpperCAmelCase	    =			depths
         UpperCAmelCase	    =			len(snake_case__				)
         UpperCAmelCase	    =			num_heads
         UpperCAmelCase	    =			window_size
         UpperCAmelCase	    =			mlp_ratio
         UpperCAmelCase	    =			qkv_bias
         UpperCAmelCase	    =			hidden_dropout_prob
         UpperCAmelCase	    =			attention_probs_dropout_prob
         UpperCAmelCase	    =			drop_path_rate
         UpperCAmelCase	    =			hidden_act
         UpperCAmelCase	    =			use_absolute_embeddings
         UpperCAmelCase	    =			layer_norm_eps
         UpperCAmelCase	    =			initializer_range
         # we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
         # this indicates the channel dimension after the last stage of the model
         UpperCAmelCase	    =			int(embed_dim * 2 ** (len(snake_case__				) - 1)				)
         UpperCAmelCase	    =			["""stem"""] + [f'''stage{idx}''' for idx in range(1 ,		len(snake_case__				) + 1				)]
         UpperCAmelCase    ,       UpperCAmelCase	    =			get_aligned_output_features_output_indices(
             out_features=snake_case__ ,		out_indices=snake_case__ ,		stage_names=self.stage_names				)








"""simple docstring"""







from __future__ import annotations

import pandas as pd






def       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase	,      lowerCAmelCase		):







       '''simple docstring'''
       UpperCAmelCase	    =			[0] * no_of_processes
       UpperCAmelCase	    =			[0] * no_of_processes
       # Copy the burst time into remaining_time[]
       for i in range(lowerCAmelCase		):
              UpperCAmelCase	    =			burst_time[i]

       UpperCAmelCase	    =			0
       UpperCAmelCase	    =			0
       UpperCAmelCase	    =			999999999
       UpperCAmelCase	    =			0
       UpperCAmelCase	    =			False

       # Process until all processes are completed
       while complete != no_of_processes:
              for j in range(lowerCAmelCase		):
                     if arrival_time[j] <= increment_time and remaining_time[j] > 0:
                            if remaining_time[j] < minm:
                                   UpperCAmelCase	    =			remaining_time[j]
                                   UpperCAmelCase	    =			j
                                   UpperCAmelCase	    =			True

              if not check:
                     increment_time += 1
                     continue
              remaining_time[short] -= 1

              UpperCAmelCase	    =			remaining_time[short]
              if minm == 0:
                     UpperCAmelCase	    =			999999999

              if remaining_time[short] == 0:
                     complete += 1
                     UpperCAmelCase	    =			False

                     # Find finish time of current process
                     UpperCAmelCase	    =			increment_time + 1

                     # Calculate waiting time
                     UpperCAmelCase	    =			finish_time - arrival_time[short]
                     UpperCAmelCase	    =			finar - burst_time[short]

                     if waiting_time[short] < 0:
                            UpperCAmelCase	    =			0

        # Increment time
              increment_time += 1
       return waiting_time






def       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase	,      lowerCAmelCase		):







       '''simple docstring'''
       UpperCAmelCase	    =			[0] * no_of_processes
       for i in range(lowerCAmelCase		):
              UpperCAmelCase	    =			burst_time[i] + waiting_time[i]
       return turn_around_time






def       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase	,      lowerCAmelCase		):







       '''simple docstring'''
       UpperCAmelCase	    =			0
       UpperCAmelCase	    =			0
       for i in range(lowerCAmelCase		):
              UpperCAmelCase	    =			total_waiting_time + waiting_time[i]
              UpperCAmelCase	    =			total_turn_around_time + turn_around_time[i]
       print(F'''Average waiting time = {total_waiting_time / no_of_processes:.5f}'''		)
       print("""Average turn around time ="""	,      total_turn_around_time / no_of_processes		)


if __name__ == "__main__":
 print('''Enter how many process you want to analyze''')
 lowerCAmelCase_	:    Optional[Any]            =      int(input())
 lowerCAmelCase_	:    List[Any]            =      [0] * no_of_processes
 lowerCAmelCase_	:    Optional[Any]            =      [0] * no_of_processes
 lowerCAmelCase_	:    int            =      list(range(1, no_of_processes + 1))

 for i in range(no_of_processes):
  print('''Enter the arrival time and burst time for process:--''' + str(i + 1))
  lowerCAmelCase_     ,					lowerCAmelCase_	:    Optional[Any]            =      map(int, input().split())

 lowerCAmelCase_	:    str            =      calculate_waitingtime(arrival_time, burst_time, no_of_processes)

 lowerCAmelCase_	:    str            =      burst_time
 lowerCAmelCase_	:    List[Any]            =      no_of_processes
 lowerCAmelCase_	:    int            =      waiting_time
 lowerCAmelCase_	:    int            =      calculate_turnaroundtime(bt, n, wt)

 calculate_average_times(waiting_time, turn_around_time, no_of_processes)

 lowerCAmelCase_	:    List[Any]            =      pd.DataFrame(
     list(zip(processes, burst_time, arrival_time, waiting_time, turn_around_time)),
     columns=[
         '''Process''',
         '''BurstTime''',
         '''ArrivalTime''',
         '''WaitingTime''',
         '''TurnAroundTime''',
     ],
 )

 # Printing the dataFrame
 pd.set_option('''display.max_rows''', fcfs.shape[0] + 1)
 print(fcfs)
