numpy types (e.g. int, float) with bit size 8, 16, 32 and 64, etc. not recognized as as non_array_type by data saver

[sohailc]

We cannot insert numpy types via the data saver. To reproduce:

from qcodes import Parameter
from qcodes.dataset.measurements import Measurement
from qcodes.dataset.experiment_container import new_experiment

exp = new_experiment("name", "sample")

x = Parameter("x", set_cmd=None, get_cmd=None)

meas = Measurement()
meas.register_parameter(x)

with meas.run() as datasaver: 
    datasaver.add_result((x, np.float16(1.0)))  # Fails with np.int8, np.int16, etc as well.