
"""simple docstring"""



from __future__ import annotations

import time

import numpy as np

_snake_case        =    [8, 5, 9, 7]
_snake_case        =    [
    [2, 0, 1, 1],
    [0, 1, 2, 1],
    [4, 0, 0, 3],
    [0, 2, 1, 0],
    [1, 0, 3, 0],
]
_snake_case        =    [
    [3, 2, 1, 4],
    [0, 2, 5, 2],
    [5, 1, 0, 5],
    [1, 5, 3, 0],
    [3, 0, 3, 3],
]
class 							_SCREAMING_SNAKE_CASE	:






				'''simple docstring'''



				def __init__(       self						:      Tuple					,  UpperCAmelCase_						:      Optional[int]					,  UpperCAmelCase_						:      Union[str, Any]					,  UpperCAmelCase_						:      Dict					,  )		->	List[str]:







											"""simple docstring"""




											_lowerCAmelCase							=      claim_vector
											_lowerCAmelCase							=      allocated_resources_table
											_lowerCAmelCase							=      maximum_claim_table


				def 					__lowerCamelCase						(       self						:      int	)		->	Dict:







											"""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 					__lowerCamelCase						(       self						:      Tuple	)		->	Tuple:







											"""simple docstring"""




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


				def 					__lowerCamelCase						(       self						:      Tuple	)		->	Dict:







											"""simple docstring"""




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


				def 					__lowerCamelCase						(       self						:      Any	)		->	Dict:







											"""simple docstring"""




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


				def 					__lowerCamelCase						(       self						:      Any					,  **UpperCAmelCase_						:      List[str]	)		->	str:







											"""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(UpperCAmelCase_	):
																																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(UpperCAmelCase_	)
																																# update available/freed resources stack
																																_lowerCAmelCase							=      np.array(UpperCAmelCase_	) + np.array(
																																    alloc_resources_table[process_number]	)
																																print(
																																    'Updated available resource stack for processes: '
																																    + ' '.join([str(UpperCAmelCase_	) 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						:      str	)		->	List[str]:







											"""simple docstring"""




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


lowercase__			=		logging.get_logger(__name__)

lowercase__			=		{"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/config.json"""}






class lowerCAmelCase__      (	lowercase		):






			'''simple docstring'''



			lowerCamelCase__ =     """openai-gpt"""
			lowerCamelCase__ =     {
			    """max_position_embeddings""": """n_positions""",
			    """hidden_size""": """n_embd""",
			    """num_attention_heads""": """n_head""",
			    """num_hidden_layers""": """n_layer""",
			}
			def __init__(    self    , lowercase=40478    , lowercase=512    , lowercase=768    , lowercase=12    , lowercase=12    , lowercase="gelu"    , lowercase=0.1    , lowercase=0.1    , lowercase=0.1    , lowercase=1E-5    , lowercase=0.02    , lowercase="cls_index"    , lowercase=True    , lowercase=None    , lowercase=True    , lowercase=0.1    , **lowercase    , ):
							_lowerCamelCase	:     Tuple       =       vocab_size
							_lowerCamelCase	:     List[str]       =       n_positions
							_lowerCamelCase	:     Tuple       =       n_embd
							_lowerCamelCase	:     Optional[int]       =       n_layer
							_lowerCamelCase	:     List[Any]       =       n_head
							_lowerCamelCase	:     Dict       =       afn
							_lowerCamelCase	:     Union[str, Any]       =       resid_pdrop
							_lowerCamelCase	:     Dict       =       embd_pdrop
							_lowerCamelCase	:     List[Any]       =       attn_pdrop
							_lowerCamelCase	:     Any       =       layer_norm_epsilon
							_lowerCamelCase	:     List[Any]       =       initializer_range
							_lowerCamelCase	:     List[Any]       =       summary_type
							_lowerCamelCase	:     List[str]       =       summary_use_proj
							_lowerCamelCase	:     Tuple       =       summary_activation
							_lowerCamelCase	:     int       =       summary_first_dropout
							_lowerCamelCase	:     str       =       summary_proj_to_labels
							super().__init__(**lowercase    )