simple mistake found in undouble.py

[jomosi]

def compute_hash(self, method=None, hash_size=None, return_dict=False):

....

    if method=='whash-haar':
        if (np.ceil(np.log2(hash_size)) != np.floor(np.log2(hash_size))):
            logger.error('hash_size should be power of 2 (8, 16, 32, 64, ..., etc)')
            return None

Default value for hash_size (None) is passed to np.log2(hash_size) when hash_size is not given.

[erdogant]

Thanks for mentioning it! I set the default to 8 and created a new release (>= v1.2.9).

pip install -U bnlearn

[erdogant]

I am closing this issue. Reopen if required.