code: def fixture_init_state():
      """Generates a random initial state"""
  
      def _init_state(n):
          """random initial state"""
          state = (
              np.random.random([1 << n])
              + np.random.random([1 << n]) * 1j
          )
          state /= np.linalg.norm(state)
          return state.reshape((2,) * n)
  
      return _init_state
  
imports: from random import shuffle
  import pytest
  import numpy
  import pennylane
  from pennylane.devices.qubit import simulate
  from pennylane.devices.qubit.simulate import _FlexShots
  from pennylane.devices.qubit import sample_state, measure_with_samples
  from pennylane.devices.qubit.sampling import _sample_state_jax
  from pennylane.measurements import Shots
label_desc: Use image node_id 1 for calling a global function with example usage: fixture_init_state() and returns: _init_state, state