




'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_lowerCAmelCase				     = {
    '''configuration_oneformer''': ['''ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''OneFormerConfig'''],
    '''processing_oneformer''': ['''OneFormerProcessor'''],
}

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_lowerCAmelCase				     = ['''OneFormerImageProcessor''']

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_lowerCAmelCase				     = [
				    '''ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
				    '''OneFormerForUniversalSegmentation''',
				    '''OneFormerModel''',
				    '''OneFormerPreTrainedModel''',
				]

if TYPE_CHECKING:
				from .configuration_oneformer import ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, OneFormerConfig
				from .processing_oneformer import OneFormerProcessor

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .image_processing_oneformer import OneFormerImageProcessor
				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_oneformer import (
								    ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
								    OneFormerForUniversalSegmentation,
								    OneFormerModel,
								    OneFormerPreTrainedModel,
								)


else:
				import sys

				_lowerCAmelCase				     = _LazyModule(__name__, globals()['''__file__'''], _import_structure)








'''simple docstring'''






import math

import qiskit
from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute

def       __lowerCAmelCase (   snake_case__ = 1 ,				snake_case__ = 1						):
			if isinstance(snake_case__ ,				snake_case__						) or isinstance(snake_case__ ,				snake_case__						):
						raise TypeError("inputs must be integers."						)
			if (bit_a < 0) or (bit_a < 0):
						raise ValueError("inputs must be positive."						)
			if (math.floor(snake_case__						) != bit_a) or (math.floor(snake_case__						) != bit_a):
						raise ValueError("inputs must be exact integers."						)
			if (bit_a > 1) or (bit_a > 1):
						raise ValueError("inputs must be less or equal to 1."						)

			# build registers
			__UpperCamelCase				:      Tuple									=       QuantumRegister(2 ,				"qr"						)
			__UpperCamelCase				:      Dict									=       ClassicalRegister(2 ,				"cr"						)

			__UpperCamelCase				:      str									=       QuantumCircuit(snake_case__ ,				snake_case__						)

			# entanglement the qubits
			quantum_circuit.h(1						)
			quantum_circuit.cx(1 ,				0						)

			# send the information
			__UpperCamelCase				:      Optional[Any]									=       str(snake_case__						) + str(snake_case__						)

			if c_information == "11":
						quantum_circuit.x(1						)
						quantum_circuit.z(1						)
			elif c_information == "10":
						quantum_circuit.z(1						)
			elif c_information == "01":
						quantum_circuit.x(1						)
			else:
						quantum_circuit.i(1						)

			# unentangled the circuit
			quantum_circuit.cx(1 ,				0						)
			quantum_circuit.h(1						)

			# measure the circuit
			quantum_circuit.measure(snake_case__ ,				snake_case__						)

			__UpperCamelCase				:      Dict									=       Aer.get_backend("aer_simulator"						)
			__UpperCamelCase				:      Tuple									=       execute(snake_case__ ,				snake_case__ ,				shots=1_000						)

			return job.result().get_counts(snake_case__						)


if __name__ == "__main__":
				print(f'Counts for classical state send: {superdense_coding(1,1)}')



