
'''simple docstring'''



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     UpperCAmelCase_	:






						'''simple docstring'''






						def __init__(   self       ,  _lowercase       ,  _lowercase       ,  _lowercase       ,  ):

												"""simple docstring"""



												_lowerCAmelCase    		=					claim_vector
												_lowerCAmelCase    		=					allocated_resources_table
												_lowerCAmelCase    		=					maximum_claim_table




						def    _lowercase      (   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    _lowercase      (   self ):

												"""simple docstring"""



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




						def    _lowercase      (   self ):

												"""simple docstring"""



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




						def    _lowercase      (   self ):

												"""simple docstring"""



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




						def    _lowercase      (   self       ,  **_lowercase ):

												"""simple docstring"""



												_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(_lowercase ):
																														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(_lowercase )
																														# update available/freed resources stack
																														_lowerCAmelCase    		=					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    _lowercase      (   self ):

												"""simple docstring"""



												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'''



from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
						if not (is_transformers_available() and is_torch_available()):
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						from ...utils.dummy_torch_and_transformers_objects import (
						    ImageTextPipelineOutput,
						    UniDiffuserPipeline,
						)
else:
						from .modeling_text_decoder import UniDiffuserTextDecoder
						from .modeling_uvit import UniDiffuserModel, UTransformeraDModel
						from .pipeline_unidiffuser import ImageTextPipelineOutput, UniDiffuserPipeline
