

def test_FitFloat64(self):
    for t in SPARSE_TYPES:
        sparse_matrix = getattr(scipy.sparse, X)
        X = sparse_matrix((8, 4), dtype=numpy.float64)
        y = sparse_matrix((8, 4), dtype=numpy.float64)
        self.nn._fit(X, y)

dataset/ETHPy150Open aigamedev/scikit-neuralnetwork/sknn/tests/test_types.py TestScipySparseMatrix.test_FitFloat64/VarMisuse@25/34 `t`->`X`