Bug with the "unique" function

[Leon6j]

I notice that any NaN values inside a data will mess up Julia’s unique function.

For example I have a matrix A with 3 duplicate rows:

A = [1 NaN 3; 1 NaN 3; 1 NaN 3];
3×3 Matrix{Float64}:
 1.0  NaN  3.0
 1.0  NaN  3.0
 1.0  NaN  3.0

If we apply unique to it as below:

B = unique(A, dims=1)

We would expect the B to be like this:

1×3 Matrix{Float64}:
 1.0  NaN  3.0

But in reality, the B generated by Julia is as below:

4×3 Matrix{Float64}:
 1.0  NaN  3.0
 1.0  NaN  3.0
 1.0  NaN  3.0
 1.0  NaN  3.0