def test_hdf5_incorrect_datatype (self):

    p.args = (6000,6100,4000,4100,500,510)
    # upload some image data
    image_data = np.empty((2,10,100,100))
    image_data[0,:] = np.ones ( [10,100,100], dtype=np.float32 ) * random.random()
    image_data[1,:] = np.ones ( [10,100,100], dtype=np.float32 ) * random.random()

    response = postHDF5(p, image_data)
    assert ( response.code == 404 )
Test the well known flows.
dataset/ETHPy150Open neurodata/ndstore/test/test_probability.py/Test_Probability_Post.test_hdf5_incorrect_datatype--crossover with--dataset/ETHPy150Open google/grr/grr/lib/flow_test.py/FlowTest.testWellKnownFlows