class_docstr: Tests the one-dimensional reconstruction subroutine based on arbitrary
  shifted evaluations for arbitrary frequencies.
docstr: Test that arbitrary-frequency classical functions are reconstructed wrongly
  if spectrum does not contain all frequencies.
docstr_tok: ["Test","that","arbitrary-frequency","classical","functions","are","reconstructed","wrongly","if","spectrum","does","not","contain","all","frequencies","."]
code: def test_with_classical_fun_spectrum_incomplete(
      self, fun, spectrum, mocker
  ):
      """Test that arbitrary-frequency classical functions are reconstructed wrongly
      if spectrum does not contain all frequencies."""
      if len(spectrum) <= 1:
          pytest.skip("Can't skip a frequency if len(spectrum)<=1.")
      spectrum = spectrum[:-1]
      Fun = Lambda(fun)
      spy = mocker.spy(Fun, "fun")
      rec = _reconstruct_gen(Fun, spectrum)
  
      assert (
          spy.call_count
          == len([f for f in spectrum if f > 0.0]) * 2 + 1
      )
      assert not fun_close(fun, rec)
  
imports: from inspect import signature
  from itertools import chain
  from functools import reduce
  import pytest
  import numpy
  import pennylane
  from pennylane import numpy
  from pennylane.fourier.reconstruct import _reconstruct_equ, _reconstruct_gen, _prepare_jobs, reconstruct
  from pennylane.fourier.utils import join_spectra
label_desc: Use image node_id 7 for calling the TestReconstructGen obj's underlying member method code with example usage: obj.test_with_classical_fun_spectrum_incomplete(fun, spectrum, mocker) without return types