Indexing NTTables fails for numpy integers

[slactjohnson]

Describe the bug

When indexing a Numpy integer from an NTTable array, the value type numpy.int32 is not accepted by the P4P plugin.

Expected behavior

PyDM would ideally accept Numpy types.

Steps to Reproduce

Example NTTable:

Try indexing out one of the rates with e.g. pva://DAQ:NEH:XPM:0:SEQCODES/Rate/1

Possible Solution Add an additional case to the code where the value is checked: elif isinstance(new_value, np.integer): self.new_value_signal[int].emit(int(new_value))

My Platform

OS: RHEL7 Python: 3.9.19 PyDM: 1.24.1

Additional context