<dependencies>
    <dependency>
      <groupId>org.apache.maven</groupId>
      <artifactId>maven-cli</artifactId>
    </dependency>
    <dependency>
      <groupId>org.apache.maven</groupId>
      <artifactId>maven-embedder</artifactId>
    </dependency>
    <dependency>
      <groupId>org.apache.maven</groupId>
      <artifactId>maven-core</artifactId>
    </dependency>
    <dependency>
      <groupId>org.apache.maven</groupId>

quarkus/extensions/container-image/container-image-docker/runtime/pom.xml
	quarkus/extensions/container-image/runtime/pom.xml
quarkus/integration-tests/jpa-h2-embedded/pom.xml
	quarkus/extensions/hibernate-orm/runtime/pom.xml
	quarkus/extensions/jdbc/jdbc-h2/runtime/pom.xml
	quarkus/extensions/undertow/runtime/pom.xml
	quarkus/test-framework/junit5/pom.xml

  project
- nice little sample projects that could be run in the core as well as integration tests

All Possible Errors
- invalid lifecycle phase (maybe same as bad CLI param, though you were talking about embedder too)
- <module> specified is not found
- malformed settings
- malformed POM
- local repository not writable
- remote repositories not available
- artifact metadata missing
- extension metadata missing

- `kubectl version` now includes information on the embedded version of Kustomize ([#108817](https://github.com/kubernetes/kubernetes/pull/108817), [@KnVerey](https://github.com/KnVerey))

### Bug or Regression

        specified or `NNAPI` CPU Fallback is disabled.
    *   TFLite now supports `tf.math.reciprocal1` op by lowering to `tf.div op`.
    *   TFLite's unpack op now supports boolean tensor inputs.
    *   Microcontroller and embedded code moved from experimental to main
        TensorFlow Lite folder
    *   Check for large TFLite tensors.
    *   Fix GPU delegate crash with C++17.
    *   Add 5D support to TFLite `strided_slice`.

        return "Unknown";
    }

    public void setupAdminHtmlData(final TypicalAction action, final ActionRuntime runtime) {
        runtime.registerData("developmentMode", ComponentUtil.getSearchEngineClient().isEmbedded());
        final FessConfig fessConfig = ComponentUtil.getFessConfig();
        final String installationLink = fessConfig.getOnlineHelpInstallation();

    private boolean isProjectPresent = true;

    // ----------------------------------------------------------------------------
    // We need to allow per execution user and global settings as the embedder
    // might be running in a mode where it's executing many threads with totally
    // different settings.
    // ----------------------------------------------------------------------------

in one of these ways:

    a) Convey the object code in, or embodied in, a physical product
    (including a physical distribution medium), accompanied by the
    Corresponding Source fixed on a durable physical medium
    customarily used for software interchange.

    b) Convey the object code in, or embodied in, a physical product
    (including a physical distribution medium), accompanied by a

pkg debug/dwarf, method (*UnsupportedType) Size() int64
pkg debug/dwarf, method (*UnsupportedType) String() string
pkg debug/dwarf, type UnsupportedType struct
pkg debug/dwarf, type UnsupportedType struct, embedded CommonType
pkg debug/dwarf, type UnsupportedType struct, Tag Tag
pkg debug/elf, type Symbol struct, Library string
pkg debug/elf, type Symbol struct, Version string
pkg encoding/csv, method (*ParseError) Unwrap() error

- Kubeadm: on kubeconfig certificate renewal, keep the embedded CA in sync with the one on disk ([#88052](https://github.com/kubernetes/kubernetes/pull/88052), [@neolit123](https://github.com/neolit123)) [SIG Cluster Lifecycle]