class_docstr: Tests the subroutine that determines the 1D reconstruction
  jobs to be carried out for a call to ``reconstruct`` .
docstr: Test the prepared jobs when using spectra and shifts.
docstr_tok: ["Test","the","prepared","jobs","when","using","spectra","and","shifts","."]
code: def test_with_spectra_and_shifts(self, ids, spectra, shifts, tol):
      """Test the prepared jobs when using spectra and shifts."""
      ids_, recon_fn, jobs, need_f0 = _prepare_jobs(
          ids,
          nums_frequency=None,
          spectra=spectra,
          shifts=shifts,
          atol=tol,
      )
      if ids is None:
          assert self.nested_dict_ids_match(spectra, ids_)
      else:
          assert self.ids_match(ids, ids_)
  
      # Check function to use for 1D reconstructions
      assert recon_fn == _reconstruct_gen
  
      # Check reconstruction jobs to be run
      assert self.nested_dict_ids_match(jobs, ids_)
  
      # Check all job details
      for _id, _jobs in jobs.items():
          for idx, job in _jobs.items():
              if len(spectra[_id][idx]) == 1:
                  assert job is None
                  continue
              assert list(job.keys()) == ["shifts", "spectrum"]
              assert job["shifts"] == shifts[_id][idx]
              assert job["spectrum"] == spectra[_id][idx]
      # sometimes need fun at zero if general reconstruction is performed
      _all_shifts = chain.from_iterable(
          [
              sum(
                  [
                      __shifts
                      for par_idx, __shifts in _shifts.items()
                      if id_ in ids_ and par_idx in ids_[id_]
                  ],
                  [],
              )
              for id_, _shifts in shifts.items()
          ],
      )
      assert need_f0 == any(
          np.isclose(_shift, 0.0, atol=tol, rtol=0)
          for _shift in _all_shifts
      )
  
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 5 for calling the TestPrepareJobs obj's underlying member method code with example usage: obj.test_with_spectra_and_shifts(ids, spectra, shifts, tol) without return types