code: def _is_good_param(param):
      # Check if 'nonzero' param is valid and meaningful. On the latter point,
      # x should contain at least a zero if 'nonzeros' param is given.
      return param["nonzeros"] is None or param[
          "nonzeros"
      ] < numpy.prod(param["shape"])
  
imports: import functools
  import itertools
  import unittest
  import numpy
  import six
  import chainer
  from chainer.backends import cuda
  from chainer import functions
  from chainer import gradient_check
  from chainer import testing
  from chainer.testing import attr
label_desc: Use image node_id 2 for calling a global function with example usage: _is_good_param(param) and returns: unknown