def test_global_min_g_is_min(self, backend, elems, x, g):
        k_code = """void k(unsigned int *x, unsigned int *g) {
          if ( *g > *x ) { *g = *x; }
        }"""

        k = op2.Kernel(k_code, 'k')
        g.data[0] = 10
        x.data[:] = 11
        op2.par_loop(k, elems, x(op2.READ), g(op2.MIN))

        assert g.data[0] == 10
Save the classifier to file
dataset/ETHPy150Open OP2/PyOP2/test/unit/test_direct_loop.py/TestDirectLoop.test_global_min_g_is_min--crossover with--dataset/ETHPy150Open sightmachine/SimpleCV/SimpleCV/MachineLearning/NaiveBayesClassifier.py/NaiveBayesClassifier.save