final Map<String, Object> requestBody = new HashMap<>();
        final String keyProp = NAME_PREFIX + id;
        requestBody.put(KEY_PROPERTY, keyProp);
        requestBody.put("duplicate_host_name", "duplicate_" + new Integer(id).toString());
        requestBody.put("sort_order", id);
        return requestBody;
    }

    @Override
    protected Map<String, Object> getUpdateMap() {

        final Map<String, Object> requestBody = new HashMap<>();
        final String keyProp = NAME_PREFIX + id;
        requestBody.put(KEY_PROPERTY, keyProp);
        requestBody.put("value", new Integer(id).toString());
        return requestBody;
    }

    @Override
    protected Map<String, Object> getUpdateMap() {
        final Map<String, Object> updateMap = new HashMap<>();

    assertThat(Adapters.BOOLEAN.toDer(true)).isEqualTo(bytes)
  }

  @Test fun `positive integer`() {
    val bytes = "020132".decodeHex()
    assertThat(Adapters.INTEGER_AS_LONG.toDer(50L)).isEqualTo(bytes)
    assertThat(Adapters.INTEGER_AS_LONG.fromDer(bytes)).isEqualTo(50L)
  }

  @Test fun `decode negative integer`() {
    val bytes = "02019c".decodeHex()

                            "title": "Location",
                            "type": "array",
                            "items": {
                                "anyOf": [{"type": "string"}, {"type": "integer"}]
                            },
                        },
                        "msg": {"title": "Message", "type": "string"},
                        "type": {"title": "Error Type", "type": "string"},

                "ValidationError": {
                    "properties": {
                        "loc": {
                            "items": {
                                "anyOf": [{"type": "string"}, {"type": "integer"}]
                            },
                            "type": "array",
                            "title": "Location",
                        },

            on CPU.
    *   Add nominal support for unsigned 16-bit integer tensor types. Note that
        very few TFLite kernels support this type natively, so its use in mobile
        ML authoring is generally discouraged.
    *   Add support for unsigned 16-bit integer tensor types in cast op.
    *   Experimental support for lowering `list_ops.tensor_list_set_item` with

    @Size(max = 1000)
    public String id;

    @Size(max = 1000)
    public String updatedBy;

    @ValidateTypeFailure
    public Long updatedTime;

    @Required
    @ValidateTypeFailure
    public Integer versionNo;

    @Size(max = 1000)
    public String id;

    @Size(max = 1000)
    public String updatedBy;

    @ValidateTypeFailure
    public Long updatedTime;

    @Required
    @ValidateTypeFailure
    public Integer versionNo;

    @Size(max = 1000)
    public String id;

    @Size(max = 1000)
    public String updatedBy;

    @ValidateTypeFailure
    public Long updatedTime;

    @Required
    @ValidateTypeFailure
    public Integer versionNo;

    @Size(max = 1000)
    public String id;

    @Size(max = 255)
    public String updatedBy;

    @ValidateTypeFailure
    public Long updatedTime;

    @Required
    @ValidateTypeFailure
    public Integer versionNo;