
from __future__ import annotations

from statistics import mean


def 							a__					(							snake_case       ,			snake_case       ,			snake_case							):





  """simple docstring"""
  __SCREAMING_SNAKE_CASE      :	Tuple					=		[0] * no_of_processes
  __SCREAMING_SNAKE_CASE      :	List[str]					=		[0] * no_of_processes

  # Initialize remaining_time to waiting_time.

  for i in range(snake_case							):
    __SCREAMING_SNAKE_CASE      :	Dict					=		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      :	Dict					=		[]
    __SCREAMING_SNAKE_CASE      :	Optional[Any]					=		-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      :	Union[str, Any]					=		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      :	Union[str, Any]					=		(
          total_time - arrival_time[target_process] - burst_time[target_process]
      )
    else:
      total_time += 1

  return waiting_time


def 							a__					(							snake_case       ,			snake_case       ,			snake_case							):





  """simple docstring"""
  __SCREAMING_SNAKE_CASE      :	Any					=		[0] * no_of_processes
  for i in range(snake_case							):
    __SCREAMING_SNAKE_CASE      :	Union[str, Any]					=		burst_time[i] + waiting_time[i]
  return turn_around_time


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

   lowercase_ 				=			4
   lowercase_ 				=			[2, 5, 3, 7]
   lowercase_ 				=			[0, 0, 0, 0]
   lowercase_ 				=			calculate_waitingtime(arrival_time, burst_time, no_of_processes)
   lowercase_ 				=			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}''')

'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


_UpperCAmelCase    :     List[Any]         =       {
    '''configuration_layoutlmv2''': ['''LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''LayoutLMv2Config'''],
    '''processing_layoutlmv2''': ['''LayoutLMv2Processor'''],
    '''tokenization_layoutlmv2''': ['''LayoutLMv2Tokenizer'''],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _UpperCAmelCase    :     str         =       ['''LayoutLMv2TokenizerFast''']

try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _UpperCAmelCase    :     int         =       ['''LayoutLMv2FeatureExtractor''']
   _UpperCAmelCase    :     str         =       ['''LayoutLMv2ImageProcessor''']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _UpperCAmelCase    :     int         =       [
       '''LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''LayoutLMv2ForQuestionAnswering''',
       '''LayoutLMv2ForSequenceClassification''',
       '''LayoutLMv2ForTokenClassification''',
       '''LayoutLMv2Layer''',
       '''LayoutLMv2Model''',
       '''LayoutLMv2PreTrainedModel''',
   ]

if TYPE_CHECKING:
   from .configuration_layoutlmva import LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMvaConfig
   from .processing_layoutlmva import LayoutLMvaProcessor
   from .tokenization_layoutlmva import LayoutLMvaTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_layoutlmva_fast import LayoutLMvaTokenizerFast

   try:
      if not is_vision_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .feature_extraction_layoutlmva import LayoutLMvaFeatureExtractor, LayoutLMvaImageProcessor

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_layoutlmva import (
          LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST,
          LayoutLMvaForQuestionAnswering,
          LayoutLMvaForSequenceClassification,
          LayoutLMvaForTokenClassification,
          LayoutLMvaLayer,
          LayoutLMvaModel,
          LayoutLMvaPreTrainedModel,
      )
else:
   import sys

   _UpperCAmelCase    :     List[Any]         =       _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



