class_docstr: Tests the one-dimensional reconstruction subroutine based on equidistantly
  shifted evaluations for equidistant frequencies.
docstr: Test that equidistant-frequency classical functions are
  reconstructed wrongly if num_frequency is too small.
docstr_tok: ["Test","that","equidistant-frequency","classical","functions","are","reconstructed","wrongly","if","num_frequency","is","too","small","."]
code: def test_with_classical_fun_num_freq_too_small(
      self, fun, num_frequency, base_f, mocker
  ):
      """Test that equidistant-frequency classical functions are
      reconstructed wrongly if num_frequency is too small."""
      if num_frequency == 0:
          pytest.skip("Can't reduce the number of frequencies below 0.")
      num_frequency -= 1
      Fun = Lambda(fun)
      spy = mocker.spy(Fun, "fun")
      # Convert fun to have integer frequencies
      _fun = lambda x: Fun(x / base_f)
      _rec = _reconstruct_equ(_fun, num_frequency)
  
      # Convert reconstruction to have original frequencies
      rec = lambda x: _rec(base_f * x)
      assert spy.call_count == num_frequency * 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 6 for calling the TestReconstructEqu obj's underlying member method code with example usage: obj.test_with_classical_fun_num_freq_too_small(fun, num_frequency, base_f, mocker) without return types