[BUG] Vector.from_numpy chances input on I16 and I32 columns

[ft-lakr]

Description

I am using the Vector.from_numpy method to convert an integer array to a Rayforce Vector. However, I've noticed that some of my values seem to change to 0 when specifying I16 or I32 as the column type.

Sample Data

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Version

0.6.1

I also tried it in version 0.6.0 before upgrading to 0.6.1 and got the same result

Code Snippet

int_arr = np.array([1, 2, 3, 4])
print('Array dtype:', int_arr.dtype)
int_col = Vector.from_numpy(int_arr, ray_type=I16)
int_col2 = Vector.from_numpy(int_arr, ray_type=I32)
int_col3 = Vector.from_numpy(int_arr, ray_type=I64)
t = Table({'int_col': int_col, 'int_col2': int_col2, 'int_col3': int_col3})
print(t)

Output

When running the code snippet above, I get this output:

The expected output would of course be "1, 2, 3, 4" in all columns, not just the I64 one.

[protocolstardust]

This should be fixed now in 0.6.2, thanks!