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	Add vectors.n_keys property
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				|  | @ -77,6 +77,11 @@ cdef class Vectors: | ||||||
|         """Returns True if no keys are available for new keys.""" |         """Returns True if no keys are available for new keys.""" | ||||||
|         return len(self._unset) == 0 |         return len(self._unset) == 0 | ||||||
| 
 | 
 | ||||||
|  |     @property | ||||||
|  |     def n_keys(self): | ||||||
|  |         """Returns True if no keys are available for new keys.""" | ||||||
|  |         return len(self.key2row) | ||||||
|  | 
 | ||||||
|     def __reduce__(self): |     def __reduce__(self): | ||||||
|         keys_and_rows = self.key2row.items() |         keys_and_rows = self.key2row.items() | ||||||
|         return (unpickle_vectors, (keys_and_rows, self.data)) |         return (unpickle_vectors, (keys_and_rows, self.data)) | ||||||
|  | @ -204,7 +209,7 @@ cdef class Vectors: | ||||||
|                 self._unset.remove(row) |                 self._unset.remove(row) | ||||||
|         return row |         return row | ||||||
|      |      | ||||||
|     def most_similar(self, queries, *, return_scores=False, return_rows, |     def most_similar(self, queries, *, return_scores=False, return_rows=False, | ||||||
|             batch_size=1024): |             batch_size=1024): | ||||||
|         '''For each of the given vectors, find the single entry most similar |         '''For each of the given vectors, find the single entry most similar | ||||||
|         to it, by cosine. |         to it, by cosine. | ||||||
|  |  | ||||||
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