
from __future__ import annotations

import time

import numpy as np

lowercase  :					int													=       [8, 5, 9, 7]
lowercase  :					Tuple													=       [
    [2, 0, 1, 1],
    [0, 1, 2, 1],
    [4, 0, 0, 3],
    [0, 2, 1, 0],
    [1, 0, 3, 0],
]
lowercase  :					List[str]													=       [
    [3, 2, 1, 4],
    [0, 2, 5, 2],
    [5, 1, 0, 5],
    [1, 5, 3, 0],
    [3, 0, 3, 3],
]




class  lowerCamelCase__							:




	'''simple docstring'''




	def __init__(					self		:Tuple     ,   a		:list[int]     ,   a		:list[list[int]]     ,   a		:list[list[int]]     ,   )		-> None:
								__UpperCamelCase	:   List[Any]			   =					claim_vector
								__UpperCamelCase	:   Optional[int]			   =					allocated_resources_table
								__UpperCamelCase	:   Optional[int]			   =					maximum_claim_table







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







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







	def    _lowerCamelCase				(					self		:Optional[int]						)		-> dict[int, list[int]]:
								return {self.__need().index(a						): i for i in self.__need()}







	def    _lowerCamelCase				(					self		:List[str]     ,   **a		:Dict						)		-> None:
								__UpperCamelCase	:   Optional[Any]			   =					self.__need()
								__UpperCamelCase	:   List[Any]			   =					self.__allocated_resources_table
								__UpperCamelCase	:   Optional[int]			   =					self.__available_resources()
								__UpperCamelCase	:   Optional[int]			   =					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:
															__UpperCamelCase	:   Tuple			   =					False
															for each_need in need_list:
																						__UpperCamelCase	:   Tuple			   =					True
																						for index, need in enumerate(a						):
																													if need > available_resources[index]:
																																				__UpperCamelCase	:   Optional[Any]			   =					False
																																				break
																						if execution:
																													__UpperCamelCase	:   List[str]			   =					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:
																																											__UpperCamelCase	:   Union[str, Any]			   =					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
																													__UpperCamelCase	:   Dict			   =					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    _lowerCamelCase				(					self		:Optional[Any]						)		-> Union[str, Any]:
								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()

import unittest
from dataclasses import dataclass

import pytest

from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict




@dataclass
class  lowerCamelCase__							(				__lowercase):




	'''simple docstring'''




	_A								=     ComputeEnvironment.AMAZON_SAGEMAKER
	_A								=     True
	_A								=     'ml.p3.2xlarge'
	_A								=     'accelerate_sagemaker_execution_role'
	_A								=     'hf-sm'
	_A								=     'us-east-1'
	_A								=     1
	_A								=     'accelerate-sagemaker-1'
	_A								=     '1.6'
	_A								=     '4.4'
	_A								=     'train.py'
	_A								=     [
	    '--model_name_or_path',
	    'bert',
	    '--do_train',
	    'False',
	    '--epochs',
	    '3',
	    '--learning_rate',
	    '5e-5',
	    '--max_steps',
	    '50.5',
	]
	_A								=     [
	    '--model_name_or_path',
	    'bert',
	    '--do_train',
	    '--do_test',
	    'False',
	    '--do_predict',
	    '--epochs',
	    '3',
	    '--learning_rate',
	    '5e-5',
	    '--max_steps',
	    '50.5',
	]




class  lowerCamelCase__							(				unittest.TestCase):




	'''simple docstring'''




	def    _lowerCamelCase				(					self		:Any						)		-> Optional[int]:
								# If no defaults are changed, `to_kwargs` returns an empty dict.
								__UpperCamelCase	:   Optional[int]			   =					_convert_nargs_to_dict(MockLaunchConfig.success_training_script_args						)
								assert isinstance(converted_args["model_name_or_path"]     ,   a						)
								assert isinstance(converted_args["do_train"]     ,   a						)
								assert isinstance(converted_args["epochs"]     ,   a						)
								assert isinstance(converted_args["learning_rate"]     ,   a						)
								assert isinstance(converted_args["max_steps"]     ,   a						)

								with pytest.raises(a						):
															_convert_nargs_to_dict(MockLaunchConfig.fail_training_script_args						)