



from __future__ import annotations

import time

import numpy as np

A__    :    Union[str, Any]        =   [8, 5, 9, 7]
A__    :    Union[str, Any]        =   [
    [2, 0, 1, 1],
    [0, 1, 2, 1],
    [4, 0, 0, 3],
    [0, 2, 1, 0],
    [1, 0, 3, 0],
]
A__    :    Dict        =   [
    [3, 2, 1, 4],
    [0, 2, 5, 2],
    [5, 1, 0, 5],
    [1, 5, 3, 0],
    [3, 0, 3, 3],
]



class 							__snake_case		:




							def __init__(			self	:			Union[str, Any]							,							A_	:			int							,							A_	:			Dict							,							A_	:			Optional[int]							,							):
									lowerCAmelCase_     :	List[str]							   =					claim_vector
									lowerCAmelCase_     :	Tuple							   =					allocated_resources_table
									lowerCAmelCase_     :	int							   =					maximum_claim_table




							def   UpperCAmelCase__     (			self	:			str):
									return [
									    sum(p_item[i] for p_item in self.__allocated_resources_table)
									    for i in range(len(self.__allocated_resources_table[0]))
									]




							def   UpperCAmelCase__     (			self	:			Tuple):
									return np.array(self.__claim_vector) - np.array(
									    self.__processes_resource_summation())




							def   UpperCAmelCase__     (			self	:			str):
									return [
									    list(np.array(self.__maximum_claim_table[i]) - np.array(_lowercase))
									    for i, allocated_resource in enumerate(self.__allocated_resources_table)
									]




							def   UpperCAmelCase__     (			self	:			List[Any]):
									return {self.__need().index(_lowercase): i for i in self.__need()}




							def   UpperCAmelCase__     (			self	:			Any							,							**A_	:			Tuple):
									lowerCAmelCase_     :	List[Any]							   =					self.__need()
									lowerCAmelCase_     :	str							   =					self.__allocated_resources_table
									lowerCAmelCase_     :	List[Any]							   =					self.__available_resources()
									lowerCAmelCase_     :	str							   =					self.__need_index_manager()
									for kw, val in kwargs.items():
											if kw and val is True:
													self.__pretty_data()
									print('''_''' * 5_0 + '''\n''')
									while need_list:
											lowerCAmelCase_     :	Tuple							   =					False
											for each_need in need_list:
													lowerCAmelCase_     :	List[str]							   =					True
													for index, need in enumerate(_lowercase):
															if need > available_resources[index]:
																	lowerCAmelCase_     :	List[Any]							   =					False
																	break
													if execution:
															lowerCAmelCase_     :	Dict							   =					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:
																			lowerCAmelCase_     :	str							   =					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
															lowerCAmelCase_     :	Optional[int]							   =					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   UpperCAmelCase__     (			self	:			List[str]):
									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()







'''simple docstring'''



_lowercase          =						"""
# Transformers 설치 방법
! pip install transformers datasets
# 마지막 릴리스 대신 소스에서 설치하려면, 위 명령을 주석으로 바꾸고 아래 명령을 해제하세요.
# ! pip install git+https://github.com/huggingface/transformers.git
"""

_lowercase          =						[{"""type""": """code""", """content""": INSTALL_CONTENT}]
_lowercase          =						{
    """{processor_class}""": """FakeProcessorClass""",
    """{model_class}""": """FakeModelClass""",
    """{object_class}""": """FakeObjectClass""",
}
