DenseRLELazy{SparseList} representation:

5x5_falses: Bool[0 0 0 0 0; 0 0 0 0 0; 0 0 0 0 0; 0 0 0 0 0; 0 0 0 0 0]
tensor: Tensor(DenseRLE{Int64}(SparseList{Int64}(Element{false, Bool, Int64}(Bool[]), 5, [1, 1], Int64[]), 5, [1, 2], [5], SparseList{Int64}(Element{false, Bool, Int64}(Bool[]), 5, [1], Int64[]); merge = false))
countstored: 0
5x5_trues: Bool[1 1 1 1 1; 1 1 1 1 1; 1 1 1 1 1; 1 1 1 1 1; 1 1 1 1 1]
tensor: Tensor(DenseRLE{Int64}(SparseList{Int64}(Element{false, Bool, Int64}(Bool[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]), 5, [1, 6, 11, 16, 21, 26], [1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5]), 5, [1, 6], [1, 2, 3, 4, 5], SparseList{Int64}(Element{false, Bool, Int64}(Bool[]), 5, [1], Int64[]); merge = false))
countstored: 25
4x4_one_bool: Bool[0 0 0 1; 0 0 0 0; 1 0 0 0; 0 1 0 0]
tensor: Tensor(DenseRLE{Int64}(SparseList{Int64}(Element{false, Bool, Int64}(Bool[1, 1, 1]), 4, [1, 2, 3, 3, 4], [3, 4, 1]), 4, [1, 5], [1, 2, 3, 4], SparseList{Int64}(Element{false, Bool, Int64}(Bool[]), 4, [1], Int64[]); merge = false))
countstored: 3
4x4_bool_mix: Bool[0 1 0 1; 0 0 0 0; 1 1 1 1; 0 1 0 1]
tensor: Tensor(DenseRLE{Int64}(SparseList{Int64}(Element{false, Bool, Int64}(Bool[1, 1, 1, 1, 1, 1, 1, 1]), 4, [1, 2, 5, 6, 9], [3, 1, 3, 4, 3, 1, 3, 4]), 4, [1, 5], [1, 2, 3, 4], SparseList{Int64}(Element{false, Bool, Int64}(Bool[]), 4, [1], Int64[]); merge = false))
countstored: 8
5x5_zeros: [0.0 0.0 0.0 0.0 0.0; 0.0 0.0 0.0 0.0 0.0; 0.0 0.0 0.0 0.0 0.0; 0.0 0.0 0.0 0.0 0.0; 0.0 0.0 0.0 0.0 0.0]
tensor: Tensor(DenseRLE{Int64}(SparseList{Int64}(Element{0.0, Float64, Int64}(Float64[]), 5, [1, 1], Int64[]), 5, [1, 2], [5], SparseList{Int64}(Element{0.0, Float64, Int64}(Float64[]), 5, [1], Int64[]); merge = false))
countstored: 0
5x5_ones: [1.0 1.0 1.0 1.0 1.0; 1.0 1.0 1.0 1.0 1.0; 1.0 1.0 1.0 1.0 1.0; 1.0 1.0 1.0 1.0 1.0; 1.0 1.0 1.0 1.0 1.0]
tensor: Tensor(DenseRLE{Int64}(SparseList{Int64}(Element{0.0, Float64, Int64}([1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]), 5, [1, 6, 11, 16, 21, 26], [1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5]), 5, [1, 6], [1, 2, 3, 4, 5], SparseList{Int64}(Element{0.0, Float64, Int64}(Float64[]), 5, [1], Int64[]); merge = false))
countstored: 25
5x5_float_mix: [0.0 1.0 2.0 2.0 3.0; 0.0 0.0 0.0 0.0 0.0; 1.0 1.0 2.0 0.0 0.0; 0.0 0.0 0.0 3.0 0.0; 0.0 0.0 0.0 0.0 0.0]
tensor: Tensor(DenseRLE{Int64}(SparseList{Int64}(Element{0.0, Float64, Int64}([1.0, 1.0, 1.0, 2.0, 2.0, 2.0, 3.0, 3.0]), 5, [1, 2, 4, 6, 8, 9], [3, 1, 3, 1, 3, 1, 4, 1]), 5, [1, 6], [1, 2, 3, 4, 5], SparseList{Int64}(Element{0.0, Float64, Int64}(Float64[]), 5, [1], Int64[]); merge = false))
countstored: 8

