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I am still trying to wrap my head around this one regarding whether it's a problem with Range or with TensorView. At the moment I am thinking Range is ok and that the problem is that TensorView::operator()(x) plugs its argument directly into range_.ordinal(x) (apart from maybe converting x from an argument pack to a Range::index_type), which isn't the appropriate thing in this case.
The following code returns 1.0, which is wrong.
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