code: def min(m, axis=0):
      """min(m,axis=0) returns the minimum of m along dimension axis."""
      m = asarray(m)
      return numpy.minimum.reduce(m, axis)
  
imports: import numpy
  from numpy import atleast_1d, eye, mgrid, argmin, zeros, shape, empty, squeeze, isscalar, vectorize, asarray, absolute, sqrt, Inf, asfarray, isinf
  from mystic import linesearch
  from collections.abc import Callable
  import builtins
label_desc: Use image node_id 2 for calling a global function with example usage: min(m, axis) and returns: numpy