code: def tiny(x):
      """Compute the tiny-value corresponding to an input's data type.
  
      This is the smallest "usable" number representable in ``x.dtype``
      (e.g., float32).
  
      This is primarily useful for determining a threshold for
      numerical underflow in division or multiplication operations.
  
      Parameters
      ----------
      x : number or np.ndarray
          The array to compute the tiny-value for.
          All that matters here is ``x.dtype``
  
      Returns
      -------
      tiny_value : float
          The smallest positive usable number for the type of ``x``.
          If ``x`` is integer-typed, then the tiny value for ``np.float32``
          is returned instead.
  
      See Also
      --------
      numpy.finfo
  
      Examples
      --------
  
      For a standard double-precision floating point number:
  
      >>> librosa.util.tiny(1.0)
      2.2250738585072014e-308
  
      Or explicitly as double-precision
  
      >>> librosa.util.tiny(np.asarray(1e-5, dtype=np.float64))
      2.2250738585072014e-308
  
      Or complex numbers
  
      >>> librosa.util.tiny(1j)
      2.2250738585072014e-308
  
      Single-precision floating point:
  
      >>> librosa.util.tiny(np.asarray(1e-5, dtype=np.float32))
      1.1754944e-38
  
      Integer
  
      >>> librosa.util.tiny(5)
      1.1754944e-38
      """
  
      # Make sure we have an array view
      x = np.asarray(x)
  
      # Only floating types generate a tiny
      if np.issubdtype(x.dtype, np.floating) or np.issubdtype(
          x.dtype, np.complexfloating
      ):
          dtype = x.dtype
      else:
          dtype = np.float32
  
      return np.finfo(dtype).tiny
  
file_path: nnAudio/Installation/nnAudio/librosa_functions.py
imports: import numpy
  import warnings
label_desc: Use image node_id 12 for calling a global function with example usage: tiny(x) and returns: np