



import numpy as np
import qiskit
from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute

def 	a						(				_UpperCAmelCase							: Union[str, Any] = np.pi / 2			,       _UpperCAmelCase							: List[Any] = np.pi / 2			,       _UpperCAmelCase							: List[Any] = np.pi / 2						):







		'''simple docstring'''





		__UpperCAmelCase   :					List[Any]													=     QuantumRegister(3			,       '''qr'''						)  # Define the number of quantum bits
		__UpperCAmelCase   :					List[str]													=     ClassicalRegister(1			,       '''cr'''						)  # Define the number of classical bits

		__UpperCAmelCase   :					Dict													=     QuantumCircuit(_UpperCAmelCase			,       _UpperCAmelCase						)  # Define the quantum circuit.

		# Build the circuit
		quantum_circuit.u(_UpperCAmelCase			,       _UpperCAmelCase			,       _UpperCAmelCase			,       0						)  # Quantum State to teleport
		quantum_circuit.h(1						)  # add hadamard gate
		quantum_circuit.cx(
		    1			,       2						)  # add control gate with qubit 1 as control and 2 as target.
		quantum_circuit.cx(0			,       1						)
		quantum_circuit.h(0						)
		quantum_circuit.cz(0			,       2						)  # add control z gate.
		quantum_circuit.cx(1			,       2						)

		quantum_circuit.measure([2]			,       [0]						)  # measure the qubit.

		# Simulate the circuit using qasm simulator
		__UpperCAmelCase   :					List[str]													=     Aer.get_backend('''aer_simulator'''						)
		__UpperCAmelCase   :					Dict													=     execute(_UpperCAmelCase			,       _UpperCAmelCase			,       shots=10_00						)

		return job.result().get_counts(_UpperCAmelCase						)


if __name__ == "__main__":
		print(
		    "Total count for teleported state is: "
		    f'''{quantum_teleportation(np.pi/2, np.pi/2, np.pi/2)}'''
		)










def 	a						(				_UpperCAmelCase							: Optional[int]			,       _UpperCAmelCase							: List[Any]						):







		'''simple docstring'''





		__UpperCAmelCase   :					int													=     len(_UpperCAmelCase						)
		# Create a stack and push index of fist element to it
		__UpperCAmelCase   :					List[Any]													=     []
		st.append(0						)

		# Span value of first element is always 1
		__UpperCAmelCase   :					Any													=     1

		# Calculate span values for rest of the elements
		for i in range(1			,       _UpperCAmelCase						):
				# Pop elements from stack while stack is not
				# empty and top of stack is smaller than price[i]
				while len(_UpperCAmelCase						) > 0 and price[st[0]] <= price[i]:
						st.pop()

				# If stack becomes empty, then price[i] is greater
				# than all elements on left of it, i.e. price[0],
				# price[1], ..price[i-1]. Else the price[i]  is
				# greater than elements after top of stack
				__UpperCAmelCase   :					int													=     i + 1 if len(_UpperCAmelCase						) <= 0 else (i - st[0])

				# Push this element to stack
				st.append(_UpperCAmelCase						)

def 	a						(				_UpperCAmelCase							: Dict			,       _UpperCAmelCase							: List[str]						):







		'''simple docstring'''





		for i in range(0			,       _UpperCAmelCase						):
				print(arr[i]			,       end=''' '''						)


# Driver program to test above function
__A             =[1_0, 4, 5, 9_0, 1_2_0, 8_0]
__A             =[0 for i in range(len(price) + 1)]

# Fill the span values in array S[]
calculation_span(price, S)
print_array(S, len(price))





