## Bodies of arbitrary `dict`s { #bodies-of-arbitrary-dicts }

You can also declare a body as a `dict` with keys of some type and values of some other type.

This way, you don't have to know beforehand what the valid field/attribute names are (as would be the case with Pydantic models).

                                                 TF_DataType value);
TF_CAPI_EXPORT extern void TF_AttrBuilderSetTypeList(TF_AttrBuilder* builder,
                                                     const char* attr_name,
                                                     const TF_DataType* values,
                                                     int num_values);

    /**
     * Creates a new DataConfigPager with default values.
     * Initializes pagination settings and clears all search parameters.
     */
    public DataConfigPager() {
        // Default constructor with explicit documentation
    }

    /**
     * Clears all paging state and search/filter parameters.
     * Resets the pager to its initial state with default values.
     */
    public void clear() {

        // The BigInteger implementation is tested separately, use it as the reference.
        // Promote the int value (rather than using intValue() on the expected value) to avoid
        // any risk of truncation which could lead to a false positive.
        assertEquals(BigIntegerMath.sqrt(valueOf(x), mode), valueOf(IntMath.sqrt(x, mode)));
      }
    }
  }

  /* Relies on the correctness of sqrt(int, FLOOR). */

     */
    @Required
    @CustomSize(maxKey = "form.admin.max.input.size")
    public String query;

    /**
     * The maximum number of results to return.
     */
    @Required
    @Min(value = 0)
    @Max(value = 2147483647)
    @ValidateTypeFailure
    public Integer maxSize;

    /**
     * The boost score for matched results.
     */
    @Required
    @ValidateTypeFailure
    public Float boost;

			accessKey:          creds.AccessKey,
			secretKey:          creds.SecretKey,
			body:               []byte(`<LifecycleConfiguration><Rule><ID>id</ID><Filter><Prefix>logs/</Prefix><Tag><Key>Key1</Key><Value>Value1</Value></Tag></Filter><Status>Enabled</Status><Expiration><Days>365</Days></Expiration></Rule></LifecycleConfiguration>`),
			expectedRespStatus: http.StatusBadRequest,
			lifecycleResponse:  []byte(``),

   */
  ALLOWS_NULL_KEY_QUERIES,
  ALLOWS_NULL_KEYS(ALLOWS_NULL_KEY_QUERIES),
  /**
   * The map does not throw {@code NullPointerException} on calls such as {@code
   * containsValue(null)}, {@code values().contains(null)} or {@code values().remove(null)}.
   */
  ALLOWS_NULL_VALUE_QUERIES,
  ALLOWS_NULL_VALUES(ALLOWS_NULL_VALUE_QUERIES),
  /**
   * The map does not throw {@code NullPointerException} on calls such as {@code

   * Maximum length of frame payload. Larger payloads, if supported by the frame type, can use the
   * special values [PAYLOAD_SHORT] or [PAYLOAD_LONG].
   */
  internal const val PAYLOAD_BYTE_MAX = 125L

  /** Maximum length of close message in bytes. */
  internal const val CLOSE_MESSAGE_MAX = PAYLOAD_BYTE_MAX - 2

  /**
   * Value for [B1_MASK_LENGTH] which indicates the next two bytes are the unsigned length.
   */

/**
 * {@code ObjectCountLinkedHashMap} is a subclass of {@code ObjectCountHashMap} with insertion
 * iteration order, and uses arrays to store key objects and count values. Comparing to using a
 * traditional {@code LinkedHashMap} implementation which stores keys and count values as map
 * entries, {@code ObjectCountLinkedHashMap} minimizes object allocation and reduces memory
 * footprint.
 */
@GwtCompatible
@NullMarked

     |       anything, you could just leave off the <value/> inside the activation-property.
     |
    <profile>
      <id>env-dev</id>

      <activation>
        <property>
          <name>target-env</name>
          <value>dev</value>
        </property>
      </activation>

      <properties>