*   TensorBoard fixes: graphs with only one data point, Nan values, reload
    button and auto-reload, tooltips in scalar charts, run filtering, stable
    colors
*   Tensorboard graph visualizer now supports run metadata. Clicking on nodes
    while viewing a stats for a particular run will show runtime statistics,
    such as memory or compute usage. Unused nodes will be faded out.

## Thanks to our Contributors

pandFor(N) one := NewNat().setBig(big.NewInt(1)).ExpandFor(N) if A.Mul(I, N).Equal(one) != 1 { t.Error("a * inv(a) mod b != 1") } } func TestMul(t *testing.T) { t.Run("small", func(t *testing.T) { testMul(t, 760/8) }) t.Run("1024", func(t *testing.T) { testMul(t, 1024/8) }) t.Run("1536", func(t *testing.T) { testMul(t, 1536/8) }) t.Run("2048", func(t *testing.T) { testMul(t, 2048/8) }) } func testMul(t *testing.T, n int) { a, b, m := make([]byte, n), make([]byte, n), make([]byte, n) cryptorand.Read(a)...

    client ->> dep: Start request
    Note over dep: Run code up to yield
    opt raise
        dep -->> handler: Raise HTTPException
        handler -->> client: HTTP error response
        dep -->> dep: Raise other exception
    end
    dep ->> operation: Run dependency, e.g. DB session
    opt raise
        operation -->> dep: Raise HTTPException