# installed into a virtual environment, and then that venv is used to run all
# bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which
# drops all the bazel dependencies for each py_test; this makes all the tests
# use the wheel's TensorFlow installation instead of the one made available
# through bazel. This must be done in a different root directory, //bazel_pip/...,

// TrustDomain sets the trust domain of the secret on the agent or sidecar
func (s *secretItemBuilder) TrustDomain(trustDomain string) SecretItemBuilder {
	s.trustDomain = trustDomain
	return s
}

// Build takes the set fields from the builder and constructs the actual SecretItem
// including generating the SecretMeta from the supplied cert data, if present
func (s *secretItemBuilder) Build() (SecretItem, error) {
	result := SecretItem{

Getting Started
---------------

+ Make sure you have a [JIRA account](https://issues.apache.org/jira/).
+ Make sure you have a [GitHub account](https://github.com/signup/free).
+ If you're planning to implement a new feature, it makes sense to discuss your changes
  on the [dev list](https://maven.apache.org/mailing-lists.html) first.
  This way you can make sure you're not wasting your time on something that isn't
  considered to be in Apache Maven's scope.

# installed into a virtual environment, and then that venv is used to run all
# bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which
# drops all the bazel dependencies for each py_test; this makes all the tests
# use the wheel's TensorFlow installation instead of the one made available
# through bazel. This must be done in a different root directory, //bazel_pip/...,

    enterprise["enterprise module"]
    style enterprise stroke:#1abc9c,fill:#b1f4e7,stroke-width:2px,color:#000;
```

## Platforms

### Core automation platform

This is a general-purpose automation platform which takes care of the efficient definition and execution of work, such as tasks.
This platform is agnostic to what exactly the purpose of the work is.

* Convert the copied model to something that can be stored in your DB (for example, using the `jsonable_encoder`).
    * This is comparable to using the model's `.model_dump()` method again, but it makes sure (and converts) the values to data types that can be converted to JSON, for example, `datetime` to `str`.
* Save the data to your DB.
* Return the updated model.

//// tab | Python 3.10+

    MoreFiles.touch(temp);
    assertThat(Files.getLastModifiedTime(temp).toMillis()).isNotEqualTo(0);
  }

  public void testCreateParentDirectories_root() throws IOException {
    // We use a fake filesystem to sidestep flaky problems with Windows (b/136041958).
    try (FileSystem fs = Jimfs.newFileSystem(Configuration.unix())) {
      Path root = fs.getRootDirectories().iterator().next();

#### Caching

Config translation typically takes the overwhelming majority of Istiod's resource usage. In particular, protobuf encoding. As a result, caching has been introduced, storing the already encoded `protobuf.Any` for a given resource.

silence.

  Alice noticed with some surprise that the pebbles were all
turning into little cakes as they lay on the floor, and a bright
idea came into her head.  `If I eat one of these cakes,' she
thought, `it's sure to make SOME change in my size; and as it
can't possibly make me larger, it must make me smaller, I
suppose.'

  So she swallowed one of the cakes, and was delighted to find
that she began shrinking directly.  As soon as she was small

   * by delaying the per-stack-frame work until each element is accessed. Roughly speaking:
   *
   * <ul>
   *   <li>{@code getStackTrace} takes {@code stackSize} time to return but then negligible time to
   *       retrieve each element of the returned list.
   *   <li>{@code lazyStackTrace} takes negligible time to return but then {@code 1/stackSize} time
   *       to retrieve each element of the returned list (probably slightly more than {@code