class_docstr: Test that the sample_state function works as expected
class_docstr_tok: ["Test","that","the","sample_state","function","works","as","expected"]
docstr: Tests that the generated samples are approximately as expected.
docstr_tok: ["Tests","that","the","generated","samples","are","approximately","as","expected","."]
code: def test_approximate_probs_from_samples(self, init_state):
      """Tests that the generated samples are approximately as expected."""
      n = 4
      shots = 20000
      state = init_state(n)
  
      flat_state = state.flatten()
      expected_probs = (
          np.real(flat_state) ** 2 + np.imag(flat_state) ** 2
      )
  
      samples = sample_state(state, shots)
      approx_probs = samples_to_probs(samples, n)
      assert np.allclose(approx_probs, expected_probs, atol=APPROX_ATOL)
  
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 7 for calling the TestSampleState obj's underlying member method code with example usage: obj.test_approximate_probs_from_samples(init_state) without return types