There are two instances of the use of np.int , which has been deprecated:

1. sub_control_totals = np.asanyarray(self.sub_controls_df).astype(np.int)

2. sub_weights.shape, dtype=np.int),

according to NumPy's error message:

AttributeError: module 'numpy' has no attribute 'int'.
np.int was a deprecated alias for the builtin int. To avoid this error in existing code, use int by itself. Doing this will not modify any behavior and is safe. When replacing np.int, you may wish to use e.g. np.int64 or np.int32 to specify the precision. If you wish to review your current use, check the release note link for additional information.
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