{
    "properties": {
      "crawlingInfoId": {
        "type": "keyword"
      },
      "key": {
        "type": "keyword"
      },
      "value": {
        "type": "keyword"
      },
      "createdTime": {
        "type": "long"
      }
    }

        artifact = new DefaultArtifact(groupId, artifactId, versionRange, scope, type, null, artifactHandler);
        assertEquals(groupId + ":" + artifactId + ":" + type, artifact.getDependencyConflictId());
    }

    @Test
    void testGetDependencyConflictIdNullScope() {
        artifact.setScope(null);
        assertEquals(groupId + ":" + artifactId + ":" + type + ":" + classifier, artifact.getDependencyConflictId());
    }

    @Test

issue in TensorFlow Lite that is not about Converters, Play Services or Ops
body: - type: dropdown id: issue-type attributes: label: Issue Type description:
What type of issue would you like to report? multiple: false options: - Bug -
Build/Install - Performance - Support - Feature Request - Documentation Feature
Request - Documentation Bug - Others validations: required: true - type:
markdown attributes: value: | Please make sure that this is a bug. As per our

     */
    public static final int MsvAvTargetName = 0x09;

    /**
     * Channel bindings type
     */
    public static final int MsvAvChannelBindings = 0x0A;

    private final int type;
    private final byte[] raw;

    /**
     * Constructs an AV pair with type and raw data
     * @param type the AV pair type
     * @param raw the raw data bytes
     */

        streamId = streamId,
        length = 4,
        type = TYPE_WINDOW_UPDATE,
        flags = FLAG_NONE,
      )
      sink.writeInt(windowSizeIncrement.toInt())
      sink.flush()
    }
  }

  @Throws(IOException::class)
  fun frameHeader(
    streamId: Int,
    length: Int,
    type: Int,
    flags: Int,
  ) {
    if (type != TYPE_WINDOW_UPDATE && logger.isLoggable(FINE)) {

          <version>1.0.0+</version>
          <type>String</type>
          <description>The ID of this lifecycle, for identification in the mojo descriptor.</description>
        </field>
        <field>
          <name>phases</name>
          <version>1.0.0+</version>
          <description>The phase mappings for this lifecycle.</description>
          <association>
            <type>Phase</type>
            <multiplicity>*</multiplicity>

You can declare the type used for the response by annotating the *path operation function* **return type**.

You can use **type annotations** the same way you would for input data in function **parameters**, you can use Pydantic models, lists, dictionaries, scalar values like integers, booleans, etc.

{* ../../docs_src/response_model/tutorial001_01_py310.py hl[16,21] *}

FastAPI will use this return type to:

      "term": {
        "type": "keyword"
      },
      "query": {
        "type": "keyword"
      },
      "maxSize": {
        "type": "integer"
      },
      "boost": {
        "type": "float"
      },
      "virtualHost": {
        "type": "keyword"
      },
      "createdBy": {
        "type": "keyword"
      },
      "createdTime": {
        "type": "long"
      },
      "updatedBy": {

    },
    "roles": {
      "type": "keyword"
    },
    "languages": {
      "type": "keyword"
    },
    "score": {
      "type": "double"
    },
    "tags": {
      "type": "keyword"
    },
    "text": {
      "type": "keyword"
    },
    "userBoost": {
      "type": "double"
    }
  }

    }

    /**
     * Creates a new instance of OpenSearchUrlFilterService.
     * @param name The name.
     * @param type The type.
     */
    public OpenSearchUrlFilterService(final String name, final String type) {
        index = name + "." + type;
    }

    /**
     * Initializes the service.
     */
    @PostConstruct
    public void init() {