code: def piecewise(x, condlist, funclist):
      """Evaluate a piecewise-defined function.
  
      Args:
          x (cupy.ndarray): input domain
          condlist (list of cupy.ndarray):
              Each boolean array/ scalar corresponds to a function
              in funclist. Length of funclist is equal to that of
              condlist. If one extra function is given, it is used
              as the default value when the otherwise condition is met
          funclist (list of scalars): list of scalar functions.
  
      Returns:
          cupy.ndarray: the scalar values in funclist on portions of x
          defined by condlist.
  
      .. warning::
  
          This function currently doesn't support callable functions,
          args and kw parameters.
  
      .. seealso:: :func:`numpy.piecewise`
      """
      if cupy.isscalar(condlist):
          condlist = [condlist]
  
      condlen = len(condlist)
      funclen = len(funclist)
      if condlen == funclen:
          out = cupy.zeros(x.shape, x.dtype)
      elif condlen + 1 == funclen:
          func = funclist[-1]
          funclist = funclist[:-1]
          if callable(func):
              raise NotImplementedError(
                  "Callable functions are not supported currently"
              )
          out = cupy.full(x.shape, func, x.dtype)
      else:
          raise ValueError(
              "with {} condition(s), either {} or {} functions"
              " are expected".format(condlen, condlen, condlen + 1)
          )
  
      for condition, func in zip(condlist, funclist):
          if callable(func):
              raise NotImplementedError(
                  "Callable functions are not supported currently"
              )
          if isinstance(func, cupy.ndarray):
              func = func.astype(x.dtype)
          _piecewise_krnl(condition, func, out)
      return out
  
label_desc: Use image node_id 1 for calling a global function with example usage: piecewise(x, condlist, funclist) and returns: out