class_docstr: Test template inputs and pre-processing (ensure the correct exceptions are thrown for the inputs)
class_docstr_tok: ["Test","template","inputs","and","pre-processing","(","ensure","the","correct","exceptions","are","thrown","for","the","inputs",")"]
docstr: Verifies that an exception is raised if the number of wires or n_block_wires is incorrect.
docstr_tok: ["Verifies","that","an","exception","is","raised","if","the","number","of","wires","or","n_block_wires","is","incorrect","."]
code: def test_exception_wrong_input(
      self, block, n_params_block, wires, n_block_wires, msg_match
  ):
      """Verifies that an exception is raised if the number of wires or n_block_wires is incorrect."""
      with pytest.raises(ValueError, match=msg_match):
          MERA(wires, n_block_wires, block, n_params_block)
  
imports: import pytest
  import numpy
  import pennylane
  from pennylane.templates.tensornetworks.mera import MERA, compute_indices
label_desc: Use image node_id 1 for calling the TestTemplateInputs obj's underlying member method code with example usage: obj.test_exception_wrong_input(block, n_params_block, wires, n_block_wires, msg_match) without return types