


import qiskit







def 						lowerCamelCase(   a__ = 2):
				_SCREAMING_SNAKE_CASE			  =qubits

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

				# Creating a Quantum Circuit acting on the q register
				_SCREAMING_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
				_SCREAMING_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)}""")



from typing import TYPE_CHECKING

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


snake_case_						:			List[Any]													=							{
    '''configuration_graphormer''': ['''GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GraphormerConfig'''],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							snake_case_						:			str													=							[
							    '''GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''GraphormerForGraphClassification''',
							    '''GraphormerModel''',
							    '''GraphormerPreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_graphormer import (
														    GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
														    GraphormerForGraphClassification,
														    GraphormerModel,
														    GraphormerPreTrainedModel,
														)


else:
							import sys

							snake_case_						:			Union[str, Any]													=							_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)