and `tf.data.Dataset.with_options()` respectively.
    *   New `tf.data.Dataset.reduce()` API allows users to reduce a finite
        dataset to a single element using a user-provided reduce function.
    *   New `tf.data.Dataset.window()` API allows users to create finite windows
        of input dataset; when combined with the `tf.data.Dataset.reduce()` API,
        this allows users to implement customized batching.

!= nil { t.Errorf("failed bytes->FE->bytes round-trip: %v", err) } f2 := func(fe, r Element) bool { r.SetBytes(fe.Bytes()) // Intentionally not using Equal not to go through Bytes again. // Calling reduce because both Generate and SetBytes can produce // non-canonical representations. fe.reduce() r.reduce() return fe == r } if err := quick.Check(f2, nil); err != nil { t.Errorf("failed FE->bytes->FE round-trip: %v", err) } // Check some fixed vectors from dalek type feRTTest struct { fe Element b []byte...

    * This was reported internally by [@rushilsrivastava](https://github.com/rushilsrivastava) as a memory leak when the server had unhandled exceptions that would produce internal server errors, the memory allocated before that point would not be released.