Added another solution to question 96.
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@ -1156,6 +1156,11 @@ T = np.ascontiguousarray(Z).view(np.dtype((np.void, Z.dtype.itemsize * Z.shape[1
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_, idx = np.unique(T, return_index=True)
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uZ = Z[idx]
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print(uZ)
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# Another solution, for NumPy >= 1.13
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# Author: Andreas Kouzelis
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uZ = np.unique(Z, axis=0)
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print(uZ)
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```
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#### 97. Considering 2 vectors A & B, write the einsum equivalent of inner, outer, sum, and mul function (★★★)
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