






from abc import ABC, abstractmethod
from typing import Optional, Union

from .. import Dataset, DatasetDict, Features, IterableDataset, IterableDatasetDict, NamedSplit
from ..utils.typing import NestedDataStructureLike, PathLike


class   __SCREAMING_SNAKE_CASE(	a__	):
							def __init__(     self:      Optional[int]       ,	UpperCamelCase:      int = None       ,	UpperCamelCase:      int = None       ,	UpperCamelCase:      Union[str, Any] = None       ,	UpperCamelCase:      Tuple = None       ,	UpperCamelCase:      List[str] = False       ,	UpperCamelCase:      Union[str, Any] = False       ,	UpperCamelCase:      Any = None       ,	**UpperCamelCase:      Tuple       ,	)		->		Any:
											snake_case__									=     path_or_paths
											snake_case__									=     split if split or isinstance(lowercase__       ,	lowercase__						) else '''train'''
											snake_case__									=     features
											snake_case__									=     cache_dir
											snake_case__									=     keep_in_memory
											snake_case__									=     streaming
											snake_case__									=     num_proc
											snake_case__									=     kwargs


							@abstractmethod
							def lowerCAmelCase_ (     self:      Tuple						)		->		Union[Dataset, DatasetDict, IterableDataset, IterableDatasetDict]:
											pass


class   __SCREAMING_SNAKE_CASE(	a__	):
							def __init__(     self:      Optional[Any]       ,	UpperCamelCase:      int = None       ,	UpperCamelCase:      Union[str, Any] = None       ,	UpperCamelCase:      Dict = False       ,	UpperCamelCase:      str = False       ,	UpperCamelCase:      Optional[Any] = None       ,	**UpperCamelCase:      Optional[int]       ,	)		->		List[Any]:
											snake_case__									=     features
											snake_case__									=     cache_dir
											snake_case__									=     keep_in_memory
											snake_case__									=     streaming
											snake_case__									=     num_proc
											snake_case__									=     kwargs


							@abstractmethod
							def lowerCAmelCase_ (     self:      Union[str, Any]						)		->		Union[Dataset, IterableDataset]:
											pass












import qiskit
def      a_ (      _A = 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(_A      ,   _A  )

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

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

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

				# 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(_A      ,   _A      ,   shots=1000  )

				return job.result().get_counts(_A  )


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




