code: def create_op_instance(c):
      """Given an Operator class, create an instance of it."""
      n_wires = c.num_wires
      if n_wires == qml.operation.AllWires:
          n_wires = 0
      elif n_wires == qml.operation.AnyWires:
          n_wires = 1
  
      wires = qml.wires.Wires(range(n_wires))
      if (num_params := c.num_params) == 0:
          return c(wires) if wires else c()
      if isinstance(num_params, property):
          num_params = 1
  
      # get ndim_params
      if isinstance((ndim_params := c.ndim_params), property):
          ndim_params = (0,) * num_params
  
      # turn ndim_params into valid params
      [dim] = set(ndim_params)
      if dim == 0:
          params = [1] * len(ndim_params)
      elif dim == 1:
          params = [[1] * 2**n_wires] * len(ndim_params)
      elif dim == 2:
          params = [np.eye(2)] * len(ndim_params)
      else:
          raise ValueError("unexpected dim:", dim)
  
      return c(*params, wires=wires) if wires else c(*params)
  
imports: import pytest
  import numpy
  import pennylane
  from pennylane.operation import Operator
  from pennylane.ops.functions import assert_valid
label_desc: Use image node_id 7 for calling a global function with example usage: create_op_instance(c) and returns: unknown, unknown