EnumMapAccumulator(BinaryOperator<V> mergeFunction) {
      this.mergeFunction = mergeFunction;
    }

    void put(K key, V value) {
      if (map == null) {
        map = new EnumMap<>(singletonMap(key, value));
      } else {
        map.merge(key, value, mergeFunction);
      }
    }

    EnumMapAccumulator<K, V> combine(EnumMapAccumulator<K, V> other) {
      if (this.map == null) {

  /**
   * Creates a {@code ListenableFuture} which has its value set immediately upon construction. The
   * getters just return the value. This {@code Future} can't be canceled or timed out and its
   * {@code isDone()} method always returns {@code true}.
   */
  public static <V extends @Nullable Object> ListenableFuture<V> immediateFuture(
      @ParametricNullness V value) {
    if (value == null) {

        return Part(headers, body)
      }

      @JvmStatic
      fun createFormData(
        name: String,
        value: String,
      ): Part = createFormData(name, null, value.toRequestBody())

      @JvmStatic
      fun createFormData(
        name: String,
        filename: String?,
        body: RequestBody,
      ): Part {

		},
	}

	// Run each test case individually.
	for i, testCase := range testCases {
		// Turn the map[string]string into map[string][]string, because Go.
		query := url.Values{}
		for key, value := range testCase.queryParams {
			query.Set(key, value)
		}
		// Create a request to use.
		req, err := http.NewRequest(http.MethodGet, "http://host/a/b?"+query.Encode(), nil)
		if err != nil {

	out := make(map[string]string, len(s))
	for _, l := range s {
		k, v := splitEqual(l)
		out[k] = v
	}
	return out
}

// splitEqual splits key=value string into key,value. if no = is found
// the whole string is the key and value is empty.
func splitEqual(str string) (string, string) {
	idx := strings.Index(str, "=")
	var k string
	var v string
	if idx >= 0 {
		k = str[:idx]
		v = str[idx+1:]

## Bodies of arbitrary `dict`s

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).

		metadata[MetaKeyID] = keyID
		metadata[MetaDataEncryptionKey] = base64.StdEncoding.EncodeToString(kmsKey)
	}
	return metadata
}

// ParseMetadata extracts all SSE-KMS related values from the object metadata
// and checks whether they are well-formed. It returns the sealed object key
// on success. If the metadata contains both, a KMS master key ID and a sealed

 * verify() method, which is called after each sequence and is guaranteed to be called
 * using the latest values obtained from {@link IteratorTester#newTargetIterator()}.
 *
 * <p>The value you pass to the parameter {@code steps} should be greater than the length of your
 * iterator, so that this class can check that your iterator behaves correctly when it is exhausted.
 *

	}
	// If the context contains a TraceParamsKey, add it to the trace path.
	v := ctx.Value(TraceParamsKey{})
	// Should match SingleHandler.Call checks.
	switch typed := v.(type) {
	case *MSS:
		trace.Path += typed.ToQuery()
	case map[string]string:
		m := MSS(typed)
		trace.Path += m.ToQuery()
	case *URLValues:
		trace.Path += typed.Values().Encode()
	case *NoPayload, *Bytes:

// - 1.5Gi will be serialized as "1536Mi"
//
// Note that the quantity will NEVER be internally represented by a
// floating point number. That is the whole point of this exercise.
//
// Non-canonical values will still parse as long as they are well formed,
// but will be re-emitted in their canonical form. (So always use canonical
// form, or don't diff.)
//