julia> @finch_code begin
        z .= 0
        for i = _
            z[i] += x[i] + y[i]
        end
    end
quote
    z_lvl = (ex.bodies[1]).tns.bind.lvl
    z_lvl_ptr = z_lvl.ptr
    z_lvl_left = z_lvl.left
    z_lvl_right = z_lvl.right
    z_lvl_2 = z_lvl.lvl
    z_lvl_val = z_lvl.lvl.val
    x_lvl = ((ex.bodies[2]).body.rhs.args[1]).tns.bind.lvl
    x_lvl_ptr = x_lvl.ptr
    x_lvl_left = x_lvl.left
    x_lvl_right = x_lvl.right
    x_lvl_val = x_lvl.lvl.val
    y_lvl = ((ex.bodies[2]).body.rhs.args[2]).tns.bind.lvl
    y_lvl_ptr = y_lvl.ptr
    y_lvl_left = y_lvl.left
    y_lvl_right = y_lvl.right
    y_lvl_val = y_lvl.lvl.val
    y_lvl.shape == x_lvl.shape || throw(DimensionMismatch("mismatched dimension limits ($(y_lvl.shape) != $(x_lvl.shape))"))
    z_lvl_qos_stop = 0
    Finch.resize_if_smaller!(z_lvl_ptr, 1 + 1)
    Finch.fill_range!(z_lvl_ptr, 0, 1 + 1, 1 + 1)
    z_lvl_qos = 0 + 1
    0 < 1 || throw(FinchProtocolError("SparseRLELevels cannot be updated multiple times"))
    y_lvl_q = y_lvl_ptr[1]
    y_lvl_q_stop = y_lvl_ptr[1 + 1]
    if y_lvl_q < y_lvl_q_stop
        y_lvl_i_end = y_lvl_right[y_lvl_q_stop - 1]
    else
        y_lvl_i_end = 0.0f0
    end
    x_lvl_q = x_lvl_ptr[1]
    x_lvl_q_stop = x_lvl_ptr[1 + 1]
    if x_lvl_q < x_lvl_q_stop
        x_lvl_i_end = x_lvl_right[x_lvl_q_stop - 1]
    else
        x_lvl_i_end = 0.0f0
    end
    phase_stop = min(y_lvl.shape, y_lvl_i_end, x_lvl_i_end)
    if phase_stop >= limit(1.0)
        i = limit(1.0)
        if y_lvl_right[y_lvl_q] < limit(1.0)
            y_lvl_q = Finch.scansearch(y_lvl_right, limit(1.0), y_lvl_q, y_lvl_q_stop - 1)
        end
        if x_lvl_right[x_lvl_q] < limit(1.0)
            x_lvl_q = Finch.scansearch(x_lvl_right, limit(1.0), x_lvl_q, x_lvl_q_stop - 1)
        end
        while i <= phase_stop
            y_lvl_i_start = y_lvl_left[y_lvl_q]
            y_lvl_i_stop = y_lvl_right[y_lvl_q]
            x_lvl_i_start = x_lvl_left[x_lvl_q]
            x_lvl_i_stop = x_lvl_right[x_lvl_q]
            phase_start_2 = i
            phase_stop_2 = min(x_lvl_i_stop, phase_stop, y_lvl_i_stop)
            phase_start_4 = max(phase_start_2, y_lvl_i_start)
            phase_stop_4 = min(phase_stop_2, limit(0-ϵ) + x_lvl_i_start)
            if phase_stop_4 >= phase_start_4
                y_lvl_2_val = y_lvl_val[y_lvl_q]
                if z_lvl_qos > z_lvl_qos_stop
                    z_lvl_qos_stop = max(z_lvl_qos_stop << 1, 1)
                    Finch.resize_if_smaller!(z_lvl_left, z_lvl_qos_stop)
                    Finch.resize_if_smaller!(z_lvl_right, z_lvl_qos_stop)
                    Finch.resize_if_smaller!(z_lvl_val, z_lvl_qos_stop)
                    Finch.fill_range!(z_lvl_val, 0, z_lvl_qos, z_lvl_qos_stop)
                end
                z_lvl_val[z_lvl_qos] = y_lvl_2_val + z_lvl_val[z_lvl_qos]
                z_lvl_left[z_lvl_qos] = phase_start_4
                z_lvl_right[z_lvl_qos] = phase_stop_4
                z_lvl_qos += 1
            end
            phase_start_5 = max(phase_start_2, x_lvl_i_start)
            phase_stop_5 = min(phase_stop_2, limit(0-ϵ) + y_lvl_i_start)
            if phase_stop_5 >= phase_start_5
                x_lvl_2_val = x_lvl_val[x_lvl_q]
                if z_lvl_qos > z_lvl_qos_stop
                    z_lvl_qos_stop = max(z_lvl_qos_stop << 1, 1)
                    Finch.resize_if_smaller!(z_lvl_left, z_lvl_qos_stop)
                    Finch.resize_if_smaller!(z_lvl_right, z_lvl_qos_stop)
                    Finch.resize_if_smaller!(z_lvl_val, z_lvl_qos_stop)
                    Finch.fill_range!(z_lvl_val, 0, z_lvl_qos, z_lvl_qos_stop)
                end
                z_lvl_val[z_lvl_qos] = x_lvl_2_val + z_lvl_val[z_lvl_qos]
                z_lvl_left[z_lvl_qos] = phase_start_5
                z_lvl_right[z_lvl_qos] = phase_stop_5
                z_lvl_qos += 1
            end
            phase_start_6 = max(phase_start_2, y_lvl_i_start, x_lvl_i_start)
            if phase_stop_2 >= phase_start_6
                x_lvl_2_val_2 = x_lvl_val[x_lvl_q]
                y_lvl_2_val_2 = y_lvl_val[y_lvl_q]
                if z_lvl_qos > z_lvl_qos_stop
                    z_lvl_qos_stop = max(z_lvl_qos_stop << 1, 1)
                    Finch.resize_if_smaller!(z_lvl_left, z_lvl_qos_stop)
                    Finch.resize_if_smaller!(z_lvl_right, z_lvl_qos_stop)
                    Finch.resize_if_smaller!(z_lvl_val, z_lvl_qos_stop)
                    Finch.fill_range!(z_lvl_val, 0, z_lvl_qos, z_lvl_qos_stop)
                end
                z_lvl_val[z_lvl_qos] = x_lvl_2_val_2 + z_lvl_val[z_lvl_qos] + y_lvl_2_val_2
                z_lvl_left[z_lvl_qos] = phase_start_6
                z_lvl_right[z_lvl_qos] = phase_stop_2
                z_lvl_qos += 1
            end
            y_lvl_q += phase_stop_2 == y_lvl_i_stop
            x_lvl_q += phase_stop_2 == x_lvl_i_stop
            i = phase_stop_2 + limit(0+ϵ)
        end
    end
    phase_start_7 = max(limit(0+ϵ) + y_lvl_i_end, limit(1.0))
    phase_stop_7 = min(y_lvl.shape, x_lvl_i_end)
    if phase_stop_7 >= phase_start_7
        i = phase_start_7
        if x_lvl_right[x_lvl_q] < phase_start_7
            x_lvl_q = Finch.scansearch(x_lvl_right, phase_start_7, x_lvl_q, x_lvl_q_stop - 1)
        end
        while true
            i_start_4 = i
            x_lvl_i_start = x_lvl_left[x_lvl_q]
            x_lvl_i_stop = x_lvl_right[x_lvl_q]
            if x_lvl_i_stop < phase_stop_7
                phase_start_9 = max(x_lvl_i_start, i_start_4)
                if x_lvl_i_stop >= phase_start_9
                    x_lvl_2_val_3 = x_lvl_val[x_lvl_q]
                    if z_lvl_qos > z_lvl_qos_stop
                        z_lvl_qos_stop = max(z_lvl_qos_stop << 1, 1)
                        Finch.resize_if_smaller!(z_lvl_left, z_lvl_qos_stop)
                        Finch.resize_if_smaller!(z_lvl_right, z_lvl_qos_stop)
                        Finch.resize_if_smaller!(z_lvl_val, z_lvl_qos_stop)
                        Finch.fill_range!(z_lvl_val, 0, z_lvl_qos, z_lvl_qos_stop)
                    end
                    z_lvl_val[z_lvl_qos] = x_lvl_2_val_3 + z_lvl_val[z_lvl_qos]
                    z_lvl_left[z_lvl_qos] = phase_start_9
                    z_lvl_right[z_lvl_qos] = x_lvl_i_stop
                    z_lvl_qos += 1
                end
                x_lvl_q += x_lvl_i_stop == x_lvl_i_stop
                i = x_lvl_i_stop + limit(0+ϵ)
            else
                phase_start_10 = i
                phase_stop_11 = min(x_lvl_i_stop, phase_stop_7)
                phase_start_12 = max(x_lvl_i_start, phase_start_10)
                if phase_stop_11 >= phase_start_12
                    x_lvl_2_val_4 = x_lvl_val[x_lvl_q]
                    if z_lvl_qos > z_lvl_qos_stop
                        z_lvl_qos_stop = max(z_lvl_qos_stop << 1, 1)
                        Finch.resize_if_smaller!(z_lvl_left, z_lvl_qos_stop)
                        Finch.resize_if_smaller!(z_lvl_right, z_lvl_qos_stop)
                        Finch.resize_if_smaller!(z_lvl_val, z_lvl_qos_stop)
                        Finch.fill_range!(z_lvl_val, 0, z_lvl_qos, z_lvl_qos_stop)
                    end
                    z_lvl_val[z_lvl_qos] = x_lvl_2_val_4 + z_lvl_val[z_lvl_qos]
                    z_lvl_left[z_lvl_qos] = phase_start_12
                    z_lvl_right[z_lvl_qos] = phase_stop_11
                    z_lvl_qos += 1
                end
                x_lvl_q += phase_stop_11 == x_lvl_i_stop
                i = phase_stop_11 + limit(0+ϵ)
                break
            end
        end
    end
    phase_start_13 = max(limit(1.0), limit(0+ϵ) + x_lvl_i_end)
    phase_stop_14 = min(y_lvl.shape, y_lvl_i_end)
    if phase_stop_14 >= phase_start_13
        i = phase_start_13
        if y_lvl_right[y_lvl_q] < phase_start_13
            y_lvl_q = Finch.scansearch(y_lvl_right, phase_start_13, y_lvl_q, y_lvl_q_stop - 1)
        end
        while true
            i_start_7 = i
            y_lvl_i_start = y_lvl_left[y_lvl_q]
            y_lvl_i_stop = y_lvl_right[y_lvl_q]
            if y_lvl_i_stop < phase_stop_14
                phase_start_15 = max(y_lvl_i_start, i_start_7)
                if y_lvl_i_stop >= phase_start_15
                    y_lvl_2_val_3 = y_lvl_val[y_lvl_q]
                    if z_lvl_qos > z_lvl_qos_stop
                        z_lvl_qos_stop = max(z_lvl_qos_stop << 1, 1)
                        Finch.resize_if_smaller!(z_lvl_left, z_lvl_qos_stop)
                        Finch.resize_if_smaller!(z_lvl_right, z_lvl_qos_stop)
                        Finch.resize_if_smaller!(z_lvl_val, z_lvl_qos_stop)
                        Finch.fill_range!(z_lvl_val, 0, z_lvl_qos, z_lvl_qos_stop)
                    end
                    z_lvl_val[z_lvl_qos] = y_lvl_2_val_3 + z_lvl_val[z_lvl_qos]
                    z_lvl_left[z_lvl_qos] = phase_start_15
                    z_lvl_right[z_lvl_qos] = y_lvl_i_stop
                    z_lvl_qos += 1
                end
                y_lvl_q += y_lvl_i_stop == y_lvl_i_stop
                i = y_lvl_i_stop + limit(0+ϵ)
            else
                phase_start_16 = i
                phase_stop_18 = min(y_lvl_i_stop, phase_stop_14)
                phase_start_18 = max(y_lvl_i_start, phase_start_16)
                if phase_stop_18 >= phase_start_18
                    y_lvl_2_val_4 = y_lvl_val[y_lvl_q]
                    if z_lvl_qos > z_lvl_qos_stop
                        z_lvl_qos_stop = max(z_lvl_qos_stop << 1, 1)
                        Finch.resize_if_smaller!(z_lvl_left, z_lvl_qos_stop)
                        Finch.resize_if_smaller!(z_lvl_right, z_lvl_qos_stop)
                        Finch.resize_if_smaller!(z_lvl_val, z_lvl_qos_stop)
                        Finch.fill_range!(z_lvl_val, 0, z_lvl_qos, z_lvl_qos_stop)
                    end
                    z_lvl_val[z_lvl_qos] = y_lvl_2_val_4 + z_lvl_val[z_lvl_qos]
                    z_lvl_left[z_lvl_qos] = phase_start_18
                    z_lvl_right[z_lvl_qos] = phase_stop_18
                    z_lvl_qos += 1
                end
                y_lvl_q += phase_stop_18 == y_lvl_i_stop
                i = phase_stop_18 + limit(0+ϵ)
                break
            end
        end
    end
    z_lvl_ptr[1 + 1] += (z_lvl_qos - 0) - 1
    for p = 1:1
        z_lvl_ptr[p + 1] += z_lvl_ptr[p]
    end
    resize!(z_lvl_ptr, 1 + 1)
    qos = z_lvl_ptr[end] - 1
    resize!(z_lvl_left, qos)
    resize!(z_lvl_right, qos)
    resize!(z_lvl_val, qos)
    (z = Tensor((SparseRLELevel){Limit{Float32}}(z_lvl_2, y_lvl.shape, z_lvl_ptr, z_lvl_left, z_lvl_right)),)
end
julia> @finch begin
        z .= 0
        for i = _
            z[i] += x[i] + y[i]
        end
    end
(z = Tensor(SparseRLE{Limit{Float32}}(Element{0, Int64, Int64}([2, 1, 2, 1, 1, 2, 1, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 1, 1, 2, 1, 1, 1, 2, 1, 2, 1, 2, 1]), limit(100.0), [1, 31], Limit{Float32}[limit(2.0), limit(3.0+ϵ), limit(6.0), limit(6.0+ϵ), limit(9.0), limit(12.0), limit(16.0+ϵ), limit(22.0), limit(26.0), limit(27.0+ϵ), limit(29.0), limit(30.0+ϵ), limit(37.0), limit(41.0), limit(42.0), limit(45.0+ϵ), limit(47.0), limit(56.0+ϵ), limit(68.0), limit(70.0), limit(73.0), limit(78.0+ϵ), limit(83.0), limit(86.0), limit(87.0), limit(87.0+ϵ), limit(88.0), limit(89.0+ϵ), limit(92.0), limit(96.0+ϵ)], Limit{Float32}[limit(3.0), limit(6.0-ϵ), limit(6.0), limit(8.0), limit(12.0-ϵ), limit(16.0), limit(18.0), limit(26.0-ϵ), limit(27.0), limit(29.0-ϵ), limit(30.0), limit(37.0-ϵ), limit(40.0), limit(42.0-ϵ), limit(45.0), limit(47.0-ϵ), limit(56.0), limit(67.0), limit(69.0), limit(73.0-ϵ), limit(78.0), limit(79.0), limit(84.0), limit(87.0-ϵ), limit(87.0), limit(88.0-ϵ), limit(89.0), limit(92.0-ϵ), limit(96.0), limit(98.0)])),)

