code: def _parse_shifts(shifts, R, arg_name, par_idx, atol, need_f0):
      """Processes shifts for a single reconstruction and determines
      wheter the function at the reconstruction point, ``f0`` will be
      needed.
      """
      # pylint: disable=too-many-arguments
      _shifts = shifts.get(arg_name)
      if _shifts is not None:
          _shifts = _shifts.get(par_idx)
      if _shifts is not None:
          # Check whether the _shifts have the correct size
          if len(_shifts) != 2 * R + 1:
              raise ValueError(
                  f"The number of provided shifts ({len(_shifts)}) does not fit to the "
                  f"number of frequencies (2R+1={2*R+1}) for parameter {par_idx} in "
                  f"argument {arg_name}."
              )
          if any(
              qml.math.isclose(
                  _shifts,
                  qml.math.zeros_like(_shifts),
                  rtol=0,
                  atol=atol,
              )
          ):
              # If 0 is among the shifts, f0 is needed
              return _shifts, True
          # If 0 is not among the shifts, f0 is not needed
          return _shifts, (False or need_f0)
      # If no shifts are given, f0 is needed always
      return _shifts, True
  
file_path: pennylane/pennylane/fourier/reconstruct.py
imports: from functools import wraps
  from inspect import signature
  import warnings
  import numpy
  from autoray import numpy
  import pennylane
label_desc: Use image node_id 4 for calling a global function with example usage: _parse_shifts(shifts, R, arg_name, par_idx, atol, need_f0) and returns: _shifts,  True, _shifts,  unknown, _shifts,  True