






import json
import logging
import os
import socket

import git
import numpy as np
import torch


logging.basicConfig(
    format="""%(asctime)s - %(levelname)s - %(name)s - PID: %(process)d -  %(message)s""",
    datefmt="""%m/%d/%Y %H:%M:%S""",
    level=logging.INFO,
)
SCREAMING_SNAKE_CASE__   :      str				=		logging.getLogger(__name__)

def   __lowercase       (			snake_case			):







				"""simple docstring"""






				__magic_name__		:Optional[Any]   =   git.Repo(search_parent_directories=snake_case			)
				__magic_name__		:Dict   =   {
				    '''repo_id''': str(snake_case			),
				    '''repo_sha''': str(repo.head.object.hexsha			),
				    '''repo_branch''': str(repo.active_branch			),
				}

				with open(os.path.join(snake_case,	'''git_log.json'''			),	'''w'''			) as f:
								json.dump(snake_case,	snake_case,	indent=4			)

def   __lowercase       (			snake_case			):







				"""simple docstring"""






				if params.n_gpu <= 0:
								__magic_name__		:Union[str, Any]   =   0
								__magic_name__		:Optional[Any]   =   -1
								__magic_name__		:int   =   True
								__magic_name__		:Union[str, Any]   =   False
								return

				assert torch.cuda.is_available()

				logger.info('''Initializing GPUs'''			)
				if params.n_gpu > 1:
								assert params.local_rank != -1

								__magic_name__		:Any   =   int(os.environ['''WORLD_SIZE''']			)
								__magic_name__		:str   =   int(os.environ['''N_GPU_NODE''']			)
								__magic_name__		:List[str]   =   int(os.environ['''RANK''']			)

								# number of nodes / node ID
								__magic_name__		:Optional[Any]   =   params.world_size // params.n_gpu_per_node
								__magic_name__		:Optional[int]   =   params.global_rank // params.n_gpu_per_node
								__magic_name__		:str   =   True

								assert params.n_nodes == int(os.environ['''N_NODES''']			)
								assert params.node_id == int(os.environ['''NODE_RANK''']			)

				# local job (single GPU)
				else:
								assert params.local_rank == -1

								__magic_name__		:str   =   1
								__magic_name__		:str   =   0
								__magic_name__		:Dict   =   0
								__magic_name__		:Tuple   =   0
								__magic_name__		:int   =   1
								__magic_name__		:int   =   1
								__magic_name__		:Dict   =   False

				# sanity checks
				assert params.n_nodes >= 1
				assert 0 <= params.node_id < params.n_nodes
				assert 0 <= params.local_rank <= params.global_rank < params.world_size
				assert params.world_size == params.n_nodes * params.n_gpu_per_node

				# define whether this is the master process / if we are in multi-node distributed mode
				__magic_name__		:List[Any]   =   params.node_id == 0 and params.local_rank == 0
				__magic_name__		:Tuple   =   params.n_nodes > 1

				# summary
				__magic_name__		:Optional[int]   =   f'''--- Global rank: {params.global_rank} - '''
				logger.info(PREFIX + '''Number of nodes: %i''' % params.n_nodes			)
				logger.info(PREFIX + '''Node ID        : %i''' % params.node_id			)
				logger.info(PREFIX + '''Local rank     : %i''' % params.local_rank			)
				logger.info(PREFIX + '''World size     : %i''' % params.world_size			)
				logger.info(PREFIX + '''GPUs per node  : %i''' % params.n_gpu_per_node			)
				logger.info(PREFIX + '''Master         : %s''' % str(params.is_master			)			)
				logger.info(PREFIX + '''Multi-node     : %s''' % str(params.multi_node			)			)
				logger.info(PREFIX + '''Multi-GPU      : %s''' % str(params.multi_gpu			)			)
				logger.info(PREFIX + '''Hostname       : %s''' % socket.gethostname()			)

				# set GPU device
				torch.cuda.set_device(params.local_rank			)

				# initialize multi-GPU
				if params.multi_gpu:
								logger.info('''Initializing PyTorch distributed'''			)
								torch.distributed.init_process_group(
								    init_method='''env://''',	backend='''nccl''',	)

def   __lowercase       (			snake_case			):







				"""simple docstring"""






				np.random.seed(args.seed			)
				torch.manual_seed(args.seed			)
				if args.n_gpu > 0:
								torch.cuda.manual_seed_all(args.seed			)











from __future__ import annotations

import time

import numpy as np

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






class     __a			:



	def __init__(    self				:     Tuple					,						snake_case_				:     list[int]					,						snake_case_				:     list[list[int]]					,						snake_case_				:     list[list[int]]					,						)->				None:
						__lowerCAmelCase						 =claim_vector
						__lowerCAmelCase						 =allocated_resources_table
						__lowerCAmelCase						 =maximum_claim_table



	def 		UpperCamelCase				(    self				:     Optional[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 		UpperCamelCase				(    self				:     Dict)->				list[int]:
						return np.array(self.__claim_vector) - np.array(
						    self.__processes_resource_summation())



	def 		UpperCamelCase				(    self				:     Optional[Any])->				list[list[int]]:
						return [
						    list(np.array(self.__maximum_claim_table[i]) - np.array(snake_case_))
						    for i, allocated_resource in enumerate(self.__allocated_resources_table)
						]



	def 		UpperCamelCase				(    self				:     Dict)->				dict[int, list[int]]:
						return {self.__need().index(snake_case_): i for i in self.__need()}



	def 		UpperCamelCase				(    self				:     Optional[Any]					,						**snake_case_				:     Optional[Any])->				None:
						__lowerCAmelCase						 =self.__need()
						__lowerCAmelCase						 =self.__allocated_resources_table
						__lowerCAmelCase						 =self.__available_resources()
						__lowerCAmelCase						 =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:
											__lowerCAmelCase						 =False
											for each_need in need_list:
																__lowerCAmelCase						 =True
																for index, need in enumerate(snake_case_):
																					if need > available_resources[index]:
																										__lowerCAmelCase						 =False
																										break
																if execution:
																					__lowerCAmelCase						 =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						 =original_need_index
																					print(F"""Process {process_number + 1} is executing.""")
																					# remove the process run from stack
																					need_list.remove(snake_case_)
																					# update available/freed resources stack
																					__lowerCAmelCase						 =np.array(snake_case_) + np.array(
																					    alloc_resources_table[process_number])
																					print(
																					    """Updated available resource stack for processes: """
																					    + """ """.join([str(snake_case_) 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])->				Optional[Any]:
						print(""" """ * 9 + """Allocated Resource Table""")
						for item in self.__allocated_resources_table:
											print(
											    F"""P{self.__allocated_resources_table.index(snake_case_) + 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(snake_case_) + 1}"""
											    + """ """.join(F"""{it:>8}""" for it in item)
											    + """\n""")
						print(
						    """Current Usage by Active Processes: """
						    + """ """.join(str(snake_case_) for x in self.__claim_vector))
						print(
						    """Initial Available Resources:       """
						    + """ """.join(str(snake_case_) for x in self.__available_resources()))
						time.sleep(1)


if __name__ == "__main__":
				import doctest

				doctest.testmod()




