Can't instantiate abstract class Segment with abstract method __len__

[RaidOuahioune]

I was following along with the simple example written in the readme file

import panphon
ft = panphon.FeatureTable()
ft.word_fts(u'swit')

ft.word_fts(u'swit')[0].match({'cor': 1})
True
ft.word_fts(u'swit')[0] >= {'cor': 1}
True
ft.word_fts(u'swit')[1] >= {'cor': 1}
False
ft.word_to_vector_list(u'sauɹ', numeric=False)

By I ended up having this error

{
    "name": "TypeError",
    "message": "Can't instantiate abstract class Segment with abstract method __len__",
    "stack": "---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[13], line 2
      1 import panphon
----> 2 ft = panphon.FeatureTable()
      3 ft.word_fts(u'swit')
      5 ft.word_fts(u'swit')[0].match({'cor': 1})

File ~/miniconda3/envs/main/lib/python3.11/site-packages/panphon/featuretable.py:62, in FeatureTable.__init__(self, feature_set)
     60 bases_fn, weights_fn = feature_sets[feature_set]
     61 self.weights = self._read_weights(weights_fn)
---> 62 self.segments, self.seg_dict, self.names = self._read_bases(bases_fn, self.weights)
     63 self.seg_regex = self._build_seg_regex()
     64 self.seg_trie = self._build_seg_trie()

File ~/miniconda3/envs/main/lib/python3.11/site-packages/panphon/featuretable.py:86, in FeatureTable._read_bases(self, fn, weights)
     84         ipa = FeatureTable.normalize(row[0])
     85         vals = [{'-': -1, '0': 0, '+': 1}[x] for x in row[1:]]
---> 86         vec = Segment(names,
     87                       {n: v for (n, v) in zip(names, vals)},
     88                       weights=weights)
     89         segments.append((ipa, vec))
     90 seg_dict = dict(segments)

TypeError: Can't instantiate abstract class Segment with abstract method __len__"
}