h3. Plugins

* Execution model
* Metadata model
* Metadata tooling
 ** Metadata extractor
 ** Metadata reader
 ** Metadata writer
 ** Metadata adapter (if required for the target system)
* Maven packaging and lifecycle
* Maven test harness for plugin execution model
* Eclipse IDE tooling for plugin execution model and metadata model

- we also seem to have information like the plugin lifecycle model that's buried inside the maven execution model

   */

  /**
   * Creates an {@code ArrayTable} with the mappings in the provided table.
   *
   * <p>If {@code table} includes a mapping with row key {@code r} and a separate mapping with
   * column key {@code c}, the returned table contains a mapping with row key {@code r} and column
   * key {@code c}. If that row key / column key pair in not in {@code table}, the pair maps to
   * {@code null} in the generated table.

    return new ListenerCallQueue.Event<Listener>() {
      @Override
      public void call(Listener listener) {
        listener.stopping(from);
      }

      @Override
      public String toString() {
        return "stopping({from = " + from + "})";
      }
    };
  }

  private final Monitor monitor = new Monitor();

    return new ListenerCallQueue.Event<Listener>() {
      @Override
      public void call(Listener listener) {
        listener.stopping(from);
      }

      @Override
      public String toString() {
        return "stopping({from = " + from + "})";
      }
    };
  }

  private final Monitor monitor = new Monitor();

          "mapping": {
            "type": "text",
            "analyzer": "empty_analyzer"
          }
        }
      },
      {
        "lang_ca": {
          "match": "*_ca",
          "mapping": {
            "type": "text",
            "analyzer": "catalan_analyzer"
          }
        }
      },
      {
        "lang_ca": {
          "match": "*_ckb-iq",
          "mapping": {

internal fun mergeAdjacentRanges(mappings: List<Mapping>): List<Mapping> {
  var index = 0
  val result = mutableListOf<Mapping>()

  while (index < mappings.size) {
    val mapping = mappings[index]
    val type = canonicalizeType(mapping.type)
    val mappedTo = mapping.mappedTo

    var unionWith: Mapping = mapping
    index++

    while (index < mappings.size) {

                    Files.deleteIfExists(target);
                    Files.createLink(target, source);
                } catch (UnsupportedOperationException | IOException suppressed) {
                    LOGGER.info("Copying {} to project local repository.", artifact);
                    try {
                        Files.copy(
                                source,
                                target,

   */

  /**
   * Creates an {@code ArrayTable} with the mappings in the provided table.
   *
   * <p>If {@code table} includes a mapping with row key {@code r} and a separate mapping with
   * column key {@code c}, the returned table contains a mapping with row key {@code r} and column
   * key {@code c}. If that row key / column key pair in not in {@code table}, the pair maps to
   * {@code null} in the generated table.

    }

    /**
     * Retrieve a single character mapping entry by ID for the specified dictionary.
     *
     * @param dictId identifier of the dictionary
     * @param id identifier of the mapping entry
     * @return JSON response containing the mapping entry
     */
    // GET /api/admin/dict/mapping/setting/{dictId}/{id}
    @Execute

        def __get_pydantic_json_schema__(
            cls, core_schema: Mapping[str, Any], handler: GetJsonSchemaHandler
        ) -> dict[str, Any]:
            return {"type": "string", "format": "email"}

        @classmethod
        def __get_pydantic_core_schema__(
            cls, source: type[Any], handler: Callable[[Any], Mapping[str, Any]]
        ) -> Mapping[str, Any]:
            return with_info_plain_validator_function(cls._validate)