Work on Windows test failure
@@ -94,7 +94,10 @@ def _zero_init(model):
def _preprocess_doc(docs, drop=0.):
keys = [doc.to_array([LOWER]) for doc in docs]
ops = Model.ops
- lengths = ops.asarray([arr.shape[0] for arr in keys], dtype='int64')
+ # The dtype here matches what thinc is expecting -- which differs per
+ # platform (by int definition). This should be fixed once the problem
+ # is fixed on Thinc's side.
+ lengths = ops.asarray([arr.shape[0] for arr in keys], dtype=numpy.int_)
keys = ops.xp.concatenate(keys)
vals = ops.allocate(keys.shape[0]) + 1
return (keys, vals, lengths), None
