code: def frequencies_to_period(frequencies, decimals=5):
      r"""Returns the period of a Fourier series as defined
      by a set of frequencies.
  
      The period is simply :math:`2\pi/gcd(frequencies)`,
      where :math:`\text{gcd}` is the greatest common divisor.
  
      Args:
          spectra (tuple[int, float]): frequency spectra
          decimals (int): Number of decimal places to round to
              if there are non-integral frequencies.
  
      Returns:
          tuple[int, float]: frequencies
  
      **Example**
  
      >>> frequencies = (0.5, 1.0)
      >>> frequencies_to_period(frequencies)
      12.566370614359172
      """
      try:
          gcd = np.gcd.reduce(frequencies)
  
      except TypeError:
          # np.gcd only support integer frequencies
          exponent = 10**decimals
          frequencies = np.round(frequencies, decimals) * exponent
          gcd = np.gcd.reduce(np.int64(frequencies)) / exponent
  
      return 2 * np.pi / gcd
  
imports: import functools
  import itertools
  import numbers
  import warnings
  import numpy
  import pennylane
  from pennylane.measurements import MeasurementProcess
  from pennylane.ops.functions import bind_new_parameters
  from pennylane.tape import QuantumScript
label_desc: Use image node_id 3 for calling a global function with example usage: frequencies_to_period(frequencies, decimals) and returns: unknown