


"""simple docstring"""







from __future__ import annotations

import time

import numpy as np

_a  :  Dict=				[8, 5, 9, 7]
_a  :  List[Any]=				[
    [2, 0, 1, 1],
    [0, 1, 2, 1],
    [4, 0, 0, 3],
    [0, 2, 1, 0],
    [1, 0, 3, 0],
]
_a  :  List[str]=				[
    [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       :   Tuple			,						_A       :   Optional[Any]			,						_A       :   Union[str, Any]			,						_A       :   Union[str, Any]			,						)					->			List[Any]:
					__snake_case    :							Any   	=				claim_vector
					__snake_case    :							int   	=				allocated_resources_table
					__snake_case    :							Optional[int]   	=				maximum_claim_table



				def       _lowercase  (self       :   Union[str, Any])					->			List[Any]:
					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       :   int)					->			Optional[Any]:
					return np.array(self.__claim_vector) - np.array(
					    self.__processes_resource_summation())



				def       _lowercase  (self       :   List[str])					->			List[str]:
					return [
					    list(np.array(self.__maximum_claim_table[i]) - np.array(UpperCamelCase__))
					    for i, allocated_resource in enumerate(self.__allocated_resources_table)
					]



				def       _lowercase  (self       :   Tuple)					->			Dict:
					return {self.__need().index(UpperCamelCase__): i for i in self.__need()}



				def       _lowercase  (self       :   str			,						**_A       :   int)					->			Union[str, Any]:
					__snake_case    :							Any   	=				self.__need()
					__snake_case    :							str   	=				self.__allocated_resources_table
					__snake_case    :							Any   	=				self.__available_resources()
					__snake_case    :							Tuple   	=				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:
						__snake_case    :							Optional[int]   	=				False
						for each_need in need_list:
							__snake_case    :							Dict   	=				True
							for index, need in enumerate(UpperCamelCase__):
								if need > available_resources[index]:
									__snake_case    :							Optional[int]   	=				False
									break
							if execution:
								__snake_case    :							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:
										__snake_case    :							str   	=				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
								__snake_case    :							Tuple   	=				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       _lowercase  (self       :   Dict)					->			Union[str, Any]:
					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"""







import math

import tensorflow as tf
from packaging import version
def 						__UpperCAmelCase       (					UpperCAmelCase_					:       Union[str, Any]						)							->    Any:

	'''simple docstring'''





	__snake_case    :							List[str]   	=				tf.convert_to_tensor(UpperCAmelCase_						)
	__snake_case    :							List[str]   	=				0.5 * (1.0 + tf.math.erf(x / tf.cast(tf.sqrt(2.0						)    ,							x.dtype						)						))

	return x * cdf
def 						__UpperCAmelCase       (					UpperCAmelCase_					:       Tuple						)							->    Optional[Any]:

	'''simple docstring'''





	__snake_case    :							Optional[int]   	=				tf.convert_to_tensor(UpperCAmelCase_						)
	__snake_case    :							Any   	=				tf.cast(math.pi    ,							x.dtype						)
	__snake_case    :							List[Any]   	=				tf.cast(0.044_715    ,							x.dtype						)
	__snake_case    :							Union[str, Any]   	=				0.5 * (1.0 + tf.tanh(tf.sqrt(2.0 / pi						) * (x + coeff * tf.pow(UpperCAmelCase_    ,							3						))						))

	return x * cdf
def 						__UpperCAmelCase       (					UpperCAmelCase_					:       Tuple						)							->    List[Any]:

	'''simple docstring'''





	__snake_case    :							Optional[int]   	=				tf.convert_to_tensor(UpperCAmelCase_						)

	return x * tf.tanh(tf.math.softplus(UpperCAmelCase_						)						)
def 						__UpperCAmelCase       (					UpperCAmelCase_					:       Tuple						)							->    List[str]:

	'''simple docstring'''





	__snake_case    :							Union[str, Any]   	=				tf.convert_to_tensor(UpperCAmelCase_						)
	__snake_case    :							Dict   	=				tf.cast(0.044_715    ,							x.dtype						)
	__snake_case    :							int   	=				tf.cast(0.7_978_845_608    ,							x.dtype						)

	return 0.5 * x * (1.0 + tf.tanh(x * coeffa * (1.0 + coeffa * x * x)						))
def 						__UpperCAmelCase       (					UpperCAmelCase_					:       int						)							->    Dict:

	'''simple docstring'''





	__snake_case    :							Any   	=				tf.convert_to_tensor(UpperCAmelCase_						)
	__snake_case    :							Dict   	=				tf.cast(1.702    ,							x.dtype						)
	return x * tf.math.sigmoid(coeff * x						)
def 						__UpperCAmelCase       (					UpperCAmelCase_					:       Union[str, Any]						)							->    List[Any]:

	'''simple docstring'''





	return tf.clip_by_value(_gelu(UpperCAmelCase_						)    ,							-10    ,							10						)
def 						__UpperCAmelCase       (					UpperCAmelCase_					:       Union[str, Any]    ,							UpperCAmelCase_					:       Any=-1						)							->    int:

	'''simple docstring'''





	__snake_case	,       __snake_case    :							str   	=				tf.split(UpperCAmelCase_    ,							2    ,							axis=UpperCAmelCase_						)
	return a * tf.math.sigmoid(UpperCAmelCase_						)


if version.parse(tf.version.VERSION) >= version.parse("2.4"):
	def 						__UpperCAmelCase       (					UpperCAmelCase_					:       Tuple						)							->    int:

		'''simple docstring'''





		return tf.keras.activations.gelu(UpperCAmelCase_    ,							approximate=UpperCAmelCase_						)

	_a  :  Tuple=				tf.keras.activations.gelu

	_a  :  Tuple=				approximate_gelu_wrap
else:
	_a  :  Any=				_gelu
	_a  :  str=				_gelu_new


_a  :  List[str]=				{
    "gelu": gelu,
    "gelu_10": gelu_aa,
    "gelu_fast": gelu_fast,
    "gelu_new": gelu_new,
    "glu": glu,
    "mish": mish,
    "quick_gelu": quick_gelu,
    "relu": tf.keras.activations.relu,
    "sigmoid": tf.keras.activations.sigmoid,
    "silu": tf.keras.activations.swish,
    "swish": tf.keras.activations.swish,
    "tanh": tf.keras.activations.tanh,
}

def 						__UpperCAmelCase       (					UpperCAmelCase_					:       Optional[Any]						)							->    List[Any]:

	'''simple docstring'''





	if activation_string in ACTaFN:
		return ACTaFN[activation_string]
	else:
		raise KeyError(F"function {activation_string} not found in ACT2FN mapping {list(ACTaFN.keys()						)}"						)





