Selecting boolean values is failing

[nischays]

Running a sql like

SELECT CASE WHEN (UNIX_TIMESTAMP(unloading_time.unloading_start_time) - UNIX_TIMESTAMP(delivery_schedule.schedule_time)) < (-30 * 60) THEN TRUE ELSE FALSE END as was_30_minutes_earlier from unloading_time INNER JOIN delivery_schedule ON unloading_time.delivery_schedule_id = delivery_schedule.schedule_id 

causes the following error:

Cannot run task: module 'numpy' has no attribute 'bool'. np.bool was a deprecated alias for the builtin bool. To avoid this error in existing code, use bool by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use np.bool_ here. The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

There is a work around for this, instead of using TRUE use 1 and for FALSE use 0

Easy way to reproduce this is by just trying to execute

SELECT TRUE