






'''simple docstring'''
from __future__ import annotations

import time

import numpy as np

a_ 		=       [8, 5, 9, 7]
a_ 		=       [
    [2, 0, 1, 1],
    [0, 1, 2, 1],
    [4, 0, 0, 3],
    [0, 2, 1, 0],
    [1, 0, 3, 0],
]
a_ 		=       [
    [3, 2, 1, 4],
    [0, 2, 5, 2],
    [5, 1, 0, 5],
    [1, 5, 3, 0],
    [3, 0, 3, 3],
]






class    __SCREAMING_SNAKE_CASE					:




 def __init__(					self		:							Union[str, Any]    ,					__lowercase		:							str    ,					__lowercase		:							List[str]    ,					__lowercase		:							List[Any]    ,					)		->  None:
       SCREAMING_SNAKE_CASE__   : Dict													=claim_vector
       SCREAMING_SNAKE_CASE__   : Optional[int]													=allocated_resources_table
       SCREAMING_SNAKE_CASE__   : Tuple													=maximum_claim_table




 def    __magic_name__		(					self		:							int					)		->  list[int]:
       return [
           sum(p_item[i] for p_item in self.__allocated_resources_table					)
           for i in range(len(self.__allocated_resources_table[0]					)					)
       ]




 def    __magic_name__		(					self		:							List[str]					)		->  list[int]:
       return np.array(self.__claim_vector					) - np.array(
           self.__processes_resource_summation()					)




 def    __magic_name__		(					self		:							int					)		->  list[list[int]]:
       return [
           list(np.array(self.__maximum_claim_table[i]					) - np.array(__lowercase					)					)
           for i, allocated_resource in enumerate(self.__allocated_resources_table					)
       ]




 def    __magic_name__		(					self		:							Union[str, Any]					)		->  dict[int, list[int]]:
       return {self.__need().index(__lowercase					): i for i in self.__need()}




 def    __magic_name__		(					self		:							Tuple    ,					**__lowercase		:							Optional[int]					)		->  None:
       SCREAMING_SNAKE_CASE__   : Tuple													=self.__need()
       SCREAMING_SNAKE_CASE__   : Any													=self.__allocated_resources_table
       SCREAMING_SNAKE_CASE__   : Optional[int]													=self.__available_resources()
       SCREAMING_SNAKE_CASE__   : List[str]													=self.__need_index_manager()
       for kw, val in kwargs.items():
             if kw and val is True:
                   self.__pretty_data()
       print('''_''' * 50 + '''\n'''					)
       while need_list:
             SCREAMING_SNAKE_CASE__   : Tuple													=False
             for each_need in need_list:
                   SCREAMING_SNAKE_CASE__   : str													=True
                   for index, need in enumerate(__lowercase					):
                         if need > available_resources[index]:
                               SCREAMING_SNAKE_CASE__   : Any													=False
                               break
                   if execution:
                         SCREAMING_SNAKE_CASE__   : Optional[int]													=True
                         # get the original index of the process from ind_ctrl db
                         for original_need_index, need_clone in need_index_manager.items():
                               if each_need == need_clone:
                                     SCREAMING_SNAKE_CASE__   : Any													=original_need_index
                         print(F"Process {process_number + 1} is executing."					)
                         # remove the process run from stack
                         need_list.remove(__lowercase					)
                         # update available/freed resources stack
                         SCREAMING_SNAKE_CASE__   : Tuple													=np.array(__lowercase					) + np.array(
                             alloc_resources_table[process_number]					)
                         print(
                             '''Updated available resource stack for processes: '''
                             + ''' '''.join([str(__lowercase					) for x in available_resources]					)					)
                         break
             if safe:
                   print('''The process is in a safe state.\n'''					)
             else:
                   print('''System in unsafe state. Aborting...\n'''					)
                   break




 def    __magic_name__		(					self		:							int					)		->  int:
       print(''' ''' * 9 + '''Allocated Resource Table'''					)
       for item in self.__allocated_resources_table:
             print(
                 F"P{self.__allocated_resources_table.index(__lowercase					) + 1}"
                 + ''' '''.join(F"{it:>8}" for it in item					)
                 + '''\n'''					)
       print(''' ''' * 9 + '''System Resource Table'''					)
       for item in self.__maximum_claim_table:
             print(
                 F"P{self.__maximum_claim_table.index(__lowercase					) + 1}"
                 + ''' '''.join(F"{it:>8}" for it in item					)
                 + '''\n'''					)
       print(
           '''Current Usage by Active Processes: '''
           + ''' '''.join(str(__lowercase					) for x in self.__claim_vector					)					)
       print(
           '''Initial Available Resources:       '''
           + ''' '''.join(str(__lowercase					) for x in self.__available_resources()					)					)
       time.sleep(1					)


if __name__ == "__main__":
  import doctest

  doctest.testmod()

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__A				={'''configuration_wavlm''': ['''WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''WavLMConfig''']}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__A				=[
			    '''WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''WavLMForAudioFrameClassification''',
			    '''WavLMForCTC''',
			    '''WavLMForSequenceClassification''',
			    '''WavLMForXVector''',
			    '''WavLMModel''',
			    '''WavLMPreTrainedModel''',
			]

if TYPE_CHECKING:
			from .configuration_wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_wavlm import (
						    WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
						    WavLMForAudioFrameClassification,
						    WavLMForCTC,
						    WavLMForSequenceClassification,
						    WavLMForXVector,
						    WavLMModel,
						    WavLMPreTrainedModel,
						)

else:
			import sys

			__A				=_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


