********************************************************************************

## TensorFlow's Official CI and Build/Test Scripts

TensorFlow's official CI jobs run the scripts in this folder. Our internal CI
system, Kokoro, schedules our CI jobs by combining a build script with a file
from the `envs` directory that is filled with configuration options:

-   Nightly jobs (Run nightly on the `nightly` branch)

```JSON
{
  "detail": "Inactive user"
}
```

## Recap

You now have the tools to implement a complete security system based on `username` and `password` for your API.

Using these tools, you can make the security system compatible with any database and with any user or data model.

The only detail missing is that it is not actually "secure" yet.

  <url>http://maven.apache.org/maven2/</url>
  <issueManagement>
    <system>jira</system>
    <url>http://jira.codehaus.org/browse/MNG</url>
  </issueManagement>
  <ciManagement>
    <system>continuum</system>
    <notifiers>
      <notifier>
        <configuration>
          <address>******@****.***</address>
        </configuration>

10.10.10.11 istiod-rev-1.istio-system.svc...

    assertThat(cs.hashCode(), cs.toString())
      .isEqualTo(System.identityHashCode(cs))
  }

  @Test
  fun hashCode_usesIdentityHashCode_regularCase() {
    // This one's javaName matches the identifier.
    val cs = CipherSuite.TLS_RSA_WITH_AES_128_CBC_SHA256
    assertThat(cs.hashCode(), cs.toString())
      .isEqualTo(System.identityHashCode(cs))
  }

  @Test
  fun instancesAreInterned() {

If the argument to [FileInfoHeader] implements the new [FileInfoNames]
interface, then the interface methods will be used to set the Uname/Gname
of the file header. This allows applications to override the system-dependent

  "cniVersion": "0.3.1",
  "type": "istio-cni",
  "log_level": "info",
  "kubernetes": {
      "kubeconfig": "/etc/cni/net.d/ZZZ-istio-cni-kubeconfig",
      "cni_bin_dir": "/opt/cni/bin",
      "exclude_namespaces": [ "istio-system" ]
  }

# Hermetic Python

Hermetic Python allows not to rely on system-installed Python, and
system-installed Python packages. \
Instead, an independent Python toolchain is registered, ensuring the right
dependencies are always used. \
See https://github.com/bazelbuild/rules_python/ for more details.

### Specifying the Python version

Note: Only a number of minor Python versions are supported at any given time.

    val webSocket = newWebSocket()
    clientListener.assertOpen()
    val server = serverListener.assertOpen() as RealWebSocket
    val startNanos = System.nanoTime()
    while (webSocket.receivedPongCount() < 3) {
      Thread.sleep(50)
    }
    val elapsedUntilPong3 = System.nanoTime() - startNanos
    assertThat(TimeUnit.NANOSECONDS.toMillis(elapsedUntilPong3).toDouble())
      .isCloseTo(1500.0, 250.0)

---
name: TensorFlow Lite in Play Services issue
about: Use this template for issues with TensorFlow Lite in Google Play Services
labels: 'comp:lite-in-play-services'

---

**System information**
- Android Device information (use `adb shell getprop ro.build.fingerprint`
  if possible):
- TensorFlow Lite in Play Services SDK version (found in `build.gradle`):
- Google Play Services version