boolean longWait = NANOSECONDS.toSeconds(thread.timeSpentBlocked) >= 5;
    // Count how long it actually took to return; we'll accept any number between the expected delay
    // and the approximate actual delay, to be robust to variance in thread scheduling.
    char overWaitNanosFirstDigit =
        Long.toString(thread.timeSpentBlocked - MILLISECONDS.toNanos(longWait ? 5000 : 3000))
            .charAt(0);

    boolean longWait = NANOSECONDS.toSeconds(thread.timeSpentBlocked) >= 5;
    // Count how long it actually took to return; we'll accept any number between the expected delay
    // and the approximate actual delay, to be robust to variance in thread scheduling.
    char overWaitNanosFirstDigit =
        Long.toString(thread.timeSpentBlocked - MILLISECONDS.toNanos(longWait ? 5000 : 3000))
            .charAt(0);

* Change kube-proxy & fluentd CPU request to 20m/80m. ([#23646](https://github.com/kubernetes/kubernetes/pull/23646), [@cjcullen](https://github.com/cjcullen))
* make docker-checker more robust ([#23662](https://github.com/kubernetes/kubernetes/pull/23662), [@ArtfulCoder](https://github.com/ArtfulCoder))

Go <code>const</code> declarations defined in the current package.
Go assembly should avoid making assumptions about the layout of Go
types and instead use these constants.
This improves the readability of assembly code, and keeps it robust to
changes in data layout either in the Go type definitions or in the
layout rules used by the Go compiler.
</p>

<p>
Constants are of the form <code>const_<i>name</i></code>.

programs into the system C compiler and interpreting the generated
error messages, debug information, and object files. In practice,
parsing these is significantly less work and more robust than parsing
C source.

Cgo first invokes gcc -E -dM on the preamble, in order to find out
about simple #defines for constants and the like. These are recorded
for later use.

* Remove unnecessary override of /etc/init.d/docker on containervm image. ([#23593](https://github.com/kubernetes/kubernetes/pull/23593), [@dchen1107](https://github.com/dchen1107))
* make docker-checker more robust ([#23662](https://github.com/kubernetes/kubernetes/pull/23662), [@ArtfulCoder](https://github.com/ArtfulCoder))

* Add apiserver metric for current inflight-request usage. ([#58342](https://github.com/kubernetes/kubernetes/pull/58342), [@gmarek](https://github.com/gmarek))

### Cluster Lifecycle Stability and Usability Improvements

# Release 2.0.0

## Major Features and Improvements

TensorFlow 2.0 focuses on **simplicity** and **ease of use**, featuring updates
like:

*   Easy model building with Keras and eager execution.
*   Robust model deployment in production on any platform.
*   Powerful experimentation for research.
*   API simplification by reducing duplication and removing deprecated
    endpoints.

Se você precisa de algo fácil de integrar com o FastAPI, mas que seja mais robusto, suportado por Redis, PostgreSQL ou outros, verifique o <a href="https://github.com/encode/broadcaster" class="external-link" target="_blank">encode/broadcaster</a>.

///

## Mais informações