


'''simple docstring'''

from __future__ import annotations

import time

import numpy as np

lowerCAmelCase				:List[Any]        =      [8, 5, 9, 7]
lowerCAmelCase				:Tuple        =      [
    [2, 0, 1, 1],
    [0, 1, 2, 1],
    [4, 0, 0, 3],
    [0, 2, 1, 0],
    [1, 0, 3, 0],
]
lowerCAmelCase				:Optional[int]        =      [
    [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		:						Union[str, Any]  ,					_A		:						list[int]  ,					_A		:						list[list[int]]  ,					_A		:						list[list[int]]  ,					)  ->			None:
			__magic_name__	:   Tuple					     =					claim_vector
			__magic_name__	:   str					     =					allocated_resources_table
			__magic_name__	:   Any					     =					maximum_claim_table







		def        __lowerCAmelCase		( self		:						List[Any]      )  ->			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		:						Optional[Any]      )  ->			list[int]:
			return np.array(self.__claim_vector      ) - np.array(
			    self.__processes_resource_summation()      )







		def        __lowerCAmelCase		( self		:						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		:						Union[str, Any]      )  ->			dict[int, list[int]]:
			return {self.__need().index(_A      ): i for i in self.__need()}







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

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase				:Any        =      logging.get_logger(__name__)

lowerCAmelCase				:int        =      {
    '''unc-nlp/lxmert-base-uncased''': '''https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/config.json''',
}
class _lowerCamelCase	(						lowercase__							):



		'''simple docstring'''







		A_     :      List[str]				   =    """lxmert"""
		A_     :      int				   =    {}







		def __init__( self		:						int  ,					_A		:						List[Any]=30522  ,					_A		:						int=768  ,					_A		:						Any=12  ,					_A		:						Optional[Any]=9500  ,					_A		:						Any=1600  ,					_A		:						Tuple=400  ,					_A		:						str=3072  ,					_A		:						Tuple="gelu"  ,					_A		:						int=0.1  ,					_A		:						List[Any]=0.1  ,					_A		:						Dict=512  ,					_A		:						Dict=2  ,					_A		:						Tuple=0.02  ,					_A		:						List[Any]=1E-12  ,					_A		:						Optional[Any]=9  ,					_A		:						List[Any]=5  ,					_A		:						str=5  ,					_A		:						int=2048  ,					_A		:						Tuple=4  ,					_A		:						Tuple=6.67  ,					_A		:						Dict=True  ,					_A		:						str=True  ,					_A		:						str=True  ,					_A		:						Dict=True  ,					_A		:						str=True  ,					_A		:						int=True  ,					_A		:						Tuple=True  ,					**_A		:						int  ,					)  ->			str:
			__magic_name__	:   List[Any]					     =					vocab_size
			__magic_name__	:   List[Any]					     =					hidden_size
			__magic_name__	:   Optional[int]					     =					num_attention_heads
			__magic_name__	:   Dict					     =					hidden_act
			__magic_name__	:   Optional[Any]					     =					intermediate_size
			__magic_name__	:   str					     =					hidden_dropout_prob
			__magic_name__	:   List[str]					     =					attention_probs_dropout_prob
			__magic_name__	:   Tuple					     =					max_position_embeddings
			__magic_name__	:   Dict					     =					type_vocab_size
			__magic_name__	:   str					     =					initializer_range
			__magic_name__	:   str					     =					layer_norm_eps
			__magic_name__	:   Union[str, Any]					     =					num_qa_labels
			__magic_name__	:   str					     =					num_object_labels
			__magic_name__	:   List[str]					     =					num_attr_labels
			__magic_name__	:   Tuple					     =					l_layers
			__magic_name__	:   List[Any]					     =					x_layers
			__magic_name__	:   Optional[int]					     =					r_layers
			__magic_name__	:   Dict					     =					visual_feat_dim
			__magic_name__	:   Optional[int]					     =					visual_pos_dim
			__magic_name__	:   Optional[int]					     =					visual_loss_normalizer
			__magic_name__	:   int					     =					task_matched
			__magic_name__	:   Dict					     =					task_mask_lm
			__magic_name__	:   List[Any]					     =					task_obj_predict
			__magic_name__	:   str					     =					task_qa
			__magic_name__	:   List[Any]					     =					visual_obj_loss
			__magic_name__	:   Dict					     =					visual_attr_loss
			__magic_name__	:   int					     =					visual_feat_loss
			__magic_name__	:   Tuple					     =					{'vision': r_layers, 'cross_encoder': x_layers, 'language': l_layers}
			super().__init__(**_A      )