


import qiskit





def 						_lowerCAmelCase							(     _lowerCAmelCase = 2			)    ->						qiskit.result.counts.Counts:


						'''simple docstring'''






						__snake_case				=		qubits

						# Using Aer's simulator
						__snake_case				=		qiskit.Aer.get_backend("aer_simulator"			)

						# Creating a Quantum Circuit acting on the q register
						__snake_case				=		qiskit.QuantumCircuit(_lowerCAmelCase   ,						_lowerCAmelCase			)

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

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

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

						# 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
						__snake_case				=		qiskit.execute(_lowerCAmelCase   ,						_lowerCAmelCase   ,						shots=1000			)

						return job.result().get_counts(_lowerCAmelCase			)


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









from __future__ import annotations






class      UpperCamelCase:


					def __init__(    self						:		Optional[int]  ,     SCREAMING_SNAKE_CASE						:		str  ,     SCREAMING_SNAKE_CASE						:		str    )      ->						str:




											'''simple docstring'''

											__snake_case		,       __snake_case				=		text, pattern
											__snake_case		,       __snake_case				=		len(SCREAMING_SNAKE_CASE    ), len(SCREAMING_SNAKE_CASE    )


					def 				SCREAMING_SNAKE_CASE_	(    self						:		Optional[Any]  ,     SCREAMING_SNAKE_CASE						:		str    )      ->						int:




											'''simple docstring'''

											for i in range(self.patLen - 1  ,     -1  ,     -1    ):
																	if char == self.pattern[i]:
																							return i
											return -1


					def 				SCREAMING_SNAKE_CASE_	(    self						:		int  ,     SCREAMING_SNAKE_CASE						:		int    )      ->						int:




											'''simple docstring'''

											for i in range(self.patLen - 1  ,     -1  ,     -1    ):
																	if self.pattern[i] != self.text[current_pos + i]:
																							return current_pos + i
											return -1






					def 				SCREAMING_SNAKE_CASE_	(    self						:		List[Any]    )      ->						list[int]:




											'''simple docstring'''

											__snake_case				=		[]
											for i in range(self.textLen - self.patLen + 1    ):
																	__snake_case				=		self.mismatch_in_text(SCREAMING_SNAKE_CASE    )
																	if mismatch_index == -1:
																							positions.append(SCREAMING_SNAKE_CASE    )
																	else:
																							__snake_case				=		self.match_in_pattern(self.text[mismatch_index]    )
																							__snake_case				=		(
																							    mismatch_index - match_index
																							)  # shifting index lgtm [py/multiple-definition]
											return positions




A				:       str      =  'ABAABA'
A				:       Optional[Any]      =  'AB'
A				:       Any      =  BoyerMooreSearch(text, pattern)
A				:       Tuple      =  bms.bad_character_heuristic()

if len(positions) == 0:
	print('No match found')
else:
	print('Pattern found in following positions: ')
	print(positions)





