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