def test_TrainConstantOneEpoch(self):
        for t in ['csr_matrix', 'csc_matrix']:
            sparse_matrix = getattr(scipy.sparse, t)
            X_s, y_s = sparse_matrix((8, 16), dtype=numpy.float32), sparse_matrix((8, 16), dtype=numpy.float32)
            X, y = X_s.toarray(), y_s.toarray()
            
            nn1 = MLP(layers=[L("Linear")], n_iter=1, random_state=1234)
            nn1._fit(X, y)

            nn2 = MLP(layers=[L("Linear")], n_iter=1, random_state=1234)
            nn2._fit(X_s, y_s)

            assert_true(numpy.all(nn1._predict(X_s) > nn1._predict(X_s)))
dataset/ETHPy150Open aigamedev/scikit-neuralnetwork/sknn/tests/test_types.py/TestFormatDeterminism.test_TrainConstantOneEpoch/operator `==` -> `>`