
'''simple docstring'''

import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING


UpperCAmelCase__ :			Optional[int]											=		logging.get_logger(__name__)






class  A  (						SCREAMING_SNAKE_CASE__     ):
	snake_case__   :List[Any]   =  'upernet'





	def __init__(       self      :							Optional[Any]   ,				__magic_name__      :							Any=None   ,				__magic_name__      :							str=512   ,				__magic_name__      :							List[Any]=0.02   ,				__magic_name__      :							int=[1, 2, 3, 6]   ,				__magic_name__      :							Dict=True   ,				__magic_name__      :							str=0.4   ,				__magic_name__      :							Optional[Any]=384   ,				__magic_name__      :							Optional[Any]=256   ,				__magic_name__      :							str=1   ,				__magic_name__      :							str=False   ,				__magic_name__      :							str=255   ,				**__magic_name__      :							str   ,				):


				"""simple docstring"""

				super().__init__(**__magic_name__				)

				if backbone_config is None:
							logger.info("`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."				)
							lowerCAmelCase__										=				CONFIG_MAPPING["resnet"](out_features=["stage1", "stage2", "stage3", "stage4"]				)
				elif isinstance(__magic_name__   ,				__magic_name__				):
							lowerCAmelCase__										=				backbone_config.get("model_type"				)
							lowerCAmelCase__										=				CONFIG_MAPPING[backbone_model_type]
							lowerCAmelCase__										=				config_class.from_dict(__magic_name__				)

				lowerCAmelCase__										=				backbone_config
				lowerCAmelCase__										=				hidden_size
				lowerCAmelCase__										=				initializer_range
				lowerCAmelCase__										=				pool_scales
				lowerCAmelCase__										=				use_auxiliary_head
				lowerCAmelCase__										=				auxiliary_loss_weight
				lowerCAmelCase__										=				auxiliary_in_channels
				lowerCAmelCase__										=				auxiliary_channels
				lowerCAmelCase__										=				auxiliary_num_convs
				lowerCAmelCase__										=				auxiliary_concat_input
				lowerCAmelCase__										=				loss_ignore_index







	def 				__SCREAMING_SNAKE_CASE	(       self      :							Any				):


				"""simple docstring"""

				lowerCAmelCase__										=				copy.deepcopy(self.__dict__				)
				lowerCAmelCase__										=				self.backbone_config.to_dict()
				lowerCAmelCase__										=				self.__class__.model_type
				return output











"""simple docstring"""






import qiskit







def 	_snake_case     (							lowercase__ = 2						):
				_lowerCamelCase	:     Optional[Any]       =       qubits

				# Using Aer's simulator
				_lowerCamelCase	:     Dict       =       qiskit.Aer.get_backend('aer_simulator'						)

				# Creating a Quantum Circuit acting on the q register
				_lowerCamelCase	:     Dict       =       qiskit.QuantumCircuit(lowercase__				,       lowercase__						)

				# Adding a H gate on qubit 0 (now q0 in superposition)
				circuit.h(0						)

				for i in range(1				,       lowercase__						):
								# Adding CX (CNOT) gate
								circuit.cx(i - 1				,       lowercase__						)

				# Mapping the quantum measurement to the classical bits
				circuit.measure(list(range(lowercase__						)						)				,       list(range(lowercase__						)						)						)

				# Now measuring any one qubit would affect other qubits to collapse
				# their super position and have same state as the measured one.

				# Executing the circuit on the simulator
				_lowerCamelCase	:     Optional[Any]       =       qiskit.execute(lowercase__				,       lowercase__				,       shots=1000						)

				return job.result().get_counts(lowercase__						)


if __name__ == "__main__":
			print(F"Total count for various states are: {quantum_entanglement(3)}")