






from typing import TYPE_CHECKING

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


__UpperCamelCase					:		Dict	  =						{
    "configuration_groupvit": [
        "GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "GroupViTConfig",
        "GroupViTOnnxConfig",
        "GroupViTTextConfig",
        "GroupViTVisionConfig",
    ],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__UpperCamelCase					:		Optional[int]	  =						[
							    "GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "GroupViTModel",
							    "GroupViTPreTrainedModel",
							    "GroupViTTextModel",
							    "GroupViTVisionModel",
							]

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__UpperCamelCase					:		int	  =						[
							    "TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "TFGroupViTModel",
							    "TFGroupViTPreTrainedModel",
							    "TFGroupViTTextModel",
							    "TFGroupViTVisionModel",
							]

if TYPE_CHECKING:
							from .configuration_groupvit import (
							    GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    GroupViTConfig,
							    GroupViTOnnxConfig,
							    GroupViTTextConfig,
							    GroupViTVisionConfig,
							)

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_groupvit import (
														    GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
														    GroupViTModel,
														    GroupViTPreTrainedModel,
														    GroupViTTextModel,
														    GroupViTVisionModel,
														)

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_groupvit import (
														    TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
														    TFGroupViTModel,
														    TFGroupViTPreTrainedModel,
														    TFGroupViTTextModel,
														    TFGroupViTVisionModel,
														)

else:
							import sys

							__UpperCamelCase					:		List[str]	  =						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)












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)}''')




