


'''simple docstring'''



from __future__ import annotations

import time

import numpy as np

__lowercase     :						List[Any]	=     [8, 5, 9, 7]
__lowercase     :						Optional[int]	=     [
    [2, 0, 1, 1],
    [0, 1, 2, 1],
    [4, 0, 0, 3],
    [0, 2, 1, 0],
    [1, 0, 3, 0],
]
__lowercase     :						int	=     [
    [3, 2, 1, 4],
    [0, 2, 5, 2],
    [5, 1, 0, 5],
    [1, 5, 3, 0],
    [3, 0, 3, 3],
]





class 							__UpperCamelCase    :




	def __init__(       self						,    __a						,    __a						,    __a						,    ):

						'''simple docstring'''





						__a      :	Tuple    =  claim_vector
						__a      :	Tuple    =  allocated_resources_table
						__a      :	List[str]    =  maximum_claim_table




	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





						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							):

						'''simple docstring'''





						return np.array(self.__claim_vector							) - np.array(
						    self.__processes_resource_summation()							)




	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





						return [
						    list(np.array(self.__maximum_claim_table[i]							) - np.array(__a							)							)
						    for i, allocated_resource in enumerate(self.__allocated_resources_table							)
						]




	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





						return {self.__need().index(__a							): i for i in self.__need()}




	def 				__UpperCAmelCase							(       self						,    **__a							):

						'''simple docstring'''





						__a      :	Optional[int]    =  self.__need()
						__a      :	Any    =  self.__allocated_resources_table
						__a      :	Union[str, Any]    =  self.__available_resources()
						__a      :	Any    =  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:
											__a      :	Dict    =  False
											for each_need in need_list:
																__a      :	str    =  True
																for index, need in enumerate(__a							):
																					if need > available_resources[index]:
																										__a      :	Union[str, Any]    =  False
																										break
																if execution:
																					__a      :	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:
																															__a      :	Dict    =  original_need_index
																					print(f"""Process {process_number + 1} is executing."""							)
																					# remove the process run from stack
																					need_list.remove(__a							)
																					# update available/freed resources stack
																					__a      :	Optional[Any]    =  np.array(__a							) + np.array(
																					    alloc_resources_table[process_number]							)
																					print(
																					    'Updated available resource stack for processes: '
																					    + ' '.join([str(__a							) 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							):

						'''simple docstring'''





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


if __name__ == "__main__":
	import doctest

	doctest.testmod()







'''simple docstring'''



import os
import socket
from contextlib import contextmanager

import torch

from ..commands.config.default import write_basic_config  # noqa: F401
from ..state import PartialState
from .dataclasses import DistributedType
from .imports import is_deepspeed_available, is_tpu_available
from .transformer_engine import convert_model
from .versions import is_torch_version


if is_deepspeed_available():
	from deepspeed import DeepSpeedEngine

if is_tpu_available(check_device=False):
	import torch_xla.core.xla_model as xm






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       Optional[Any]       ):
					if is_torch_version('<'						,				'2.0.0'       ) or not hasattr(_SCREAMING_SNAKE_CASE						,				'_dynamo'       ):
										return False
					return isinstance(_SCREAMING_SNAKE_CASE						,				torch._dynamo.eval_frame.OptimizedModule       )






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       Optional[Any]						,				_SCREAMING_SNAKE_CASE				:       bool = True       ):
					__a      :	int    =  (torch.nn.parallel.DistributedDataParallel, torch.nn.DataParallel)

					__a      :	Any    =  is_compiled_module(_SCREAMING_SNAKE_CASE       )
					if is_compiled:
										__a      :	List[Any]    =  model
										__a      :	Union[str, Any]    =  model._orig_mod

					if is_deepspeed_available():
										options += (DeepSpeedEngine,)

					while isinstance(_SCREAMING_SNAKE_CASE						,				_SCREAMING_SNAKE_CASE       ):
										__a      :	Union[str, Any]    =  model.module

					if not keep_fpaa_wrapper:
										__a      :	Optional[Any]    =  getattr(_SCREAMING_SNAKE_CASE						,				'forward'       )
										__a      :	str    =  model.__dict__.pop('_original_forward'						,				_SCREAMING_SNAKE_CASE       )
										if original_forward is not None:
															while hasattr(_SCREAMING_SNAKE_CASE						,				'__wrapped__'       ):
																				__a      :	Any    =  forward.__wrapped__
																				if forward == original_forward:
																									break
															__a      :	str    =  forward
										if getattr(_SCREAMING_SNAKE_CASE						,				'_converted_to_transformer_engine'						,				_SCREAMING_SNAKE_CASE       ):
															convert_model(_SCREAMING_SNAKE_CASE						,				to_transformer_engine=_SCREAMING_SNAKE_CASE       )

					if is_compiled:
										__a      :	List[str]    =  model
										__a      :	Optional[int]    =  compiled_model

					return model






def   lowerCamelCase							():
					PartialState().wait_for_everyone()






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       int						,				_SCREAMING_SNAKE_CASE				:       Tuple       ):
					if PartialState().distributed_type == DistributedType.TPU:
										xm.save(_SCREAMING_SNAKE_CASE						,				_SCREAMING_SNAKE_CASE       )
					elif PartialState().local_process_index == 0:
										torch.save(_SCREAMING_SNAKE_CASE						,				_SCREAMING_SNAKE_CASE       )






@contextmanager
def   lowerCamelCase							(**_SCREAMING_SNAKE_CASE				:       Tuple       ):
					for key, value in kwargs.items():
										__a      :	Optional[int]    =  str(_SCREAMING_SNAKE_CASE       )

					yield

					for key in kwargs:
										if key.upper() in os.environ:
															del os.environ[key.upper()]






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       Dict       ):
					if not hasattr(_SCREAMING_SNAKE_CASE						,				'__qualname__'       ) and not hasattr(_SCREAMING_SNAKE_CASE						,				'__name__'       ):
										__a      :	List[Any]    =  getattr(_SCREAMING_SNAKE_CASE						,				'__class__'						,				_SCREAMING_SNAKE_CASE       )
					if hasattr(_SCREAMING_SNAKE_CASE						,				'__qualname__'       ):
										return obj.__qualname__
					if hasattr(_SCREAMING_SNAKE_CASE						,				'__name__'       ):
										return obj.__name__
					return str(_SCREAMING_SNAKE_CASE       )






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       int						,				_SCREAMING_SNAKE_CASE				:       List[str]       ):
					for key, value in source.items():
										if isinstance(_SCREAMING_SNAKE_CASE						,				_SCREAMING_SNAKE_CASE       ):
															__a      :	int    =  destination.setdefault(_SCREAMING_SNAKE_CASE						,				{}       )
															merge_dicts(_SCREAMING_SNAKE_CASE						,				_SCREAMING_SNAKE_CASE       )
										else:
															__a      :	Tuple    =  value

					return destination






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       int = None       ):
					if port is None:
										__a      :	List[str]    =  29_500
					with socket.socket(socket.AF_INET						,				socket.SOCK_STREAM       ) as s:
										return s.connect_ex(('localhost', port)       ) == 0



