code: def circuit3_block(weights, wires):
      SELWeights = np.array(
          [
              [
                  [weights[0], weights[1], weights[2]],
                  [weights[0], weights[1], weights[2]],
              ]
          ]
      )
      qml.StronglyEntanglingLayers(SELWeights, wires)
  
imports: import pytest
  import numpy
  import pennylane
  from pennylane.templates.tensornetworks.mera import MERA, compute_indices
label_desc: Use image node_id 5 for calling a global function with example usage: circuit3_block(weights, wires) without return types