}

  ObjectCountHashMap(ObjectCountHashMap<? extends K> map) {
    init(map.size(), DEFAULT_LOAD_FACTOR);
    for (int i = map.firstIndex(); i != -1; i = map.nextIndex(i)) {
      put(map.getKey(i), map.getValue(i));
    }
  }

  /**
   * Constructs a new instance of {@code ObjectCountHashMap} with the specified capacity.
   *

        if (value != null) {
            return value;
        }
        return parent.get(toCamelCase(key));
    }

    @Override
    public V put(final K key, final V value) {
        return parent.put(key, value);
    }

    @Override
    public V remove(final Object key) {
        final V value = parent.remove(key);
        if (value != null) {
            return value;

                    /*
                     * give each source folder a unique corresponding output folder
                     * outside of the usual `build` folder. We can't put the build
                     * in the usual build folder because eclipse becomes *very* sad
                     * if we delete it. Which `gradlew clean` does all the time.
                     */

# Load objects to source site with checksum header
echo "Loading objects to source MinIO instance"
OBJ_CHKSUM=$(openssl dgst -sha256 -binary </tmp/data/obj | base64)
aws s3api --endpoint-url=https://localhost:9001 put-object --checksum-algorithm SHA256 --checksum-sha256 "${OBJ_CHKSUM}" --bucket test-bucket --key obj --body /tmp/data/obj --no-verify-ssl --profile enterprise

split -n 10 /tmp/data/mpartobj

다음 중 하나이며:

* `POST`
* `GET`
* `PUT`
* `DELETE`

...흔히 사용되지 않는 것들도 있습니다:

* `OPTIONS`
* `HEAD`
* `PATCH`
* `TRACE`

HTTP 프로토콜에서는 이러한 "메소드"를 하나(또는 이상) 사용하여 각 경로와 통신할 수 있습니다.

---

API를 설계할 때 일반적으로 특정 행동을 수행하기 위해 특정 HTTP 메소드를 사용합니다.

일반적으로 다음과 같습니다:

* `POST`: 데이터를 생성하기 위해.
* `GET`: 데이터를 읽기 위해.
* `PUT`: 데이터를 수정하기 위해.
* `DELETE`: 데이터를 삭제하기 위해.

        // The elements in the list are so small that they can't even be divided into {expectedBucketNumber}.
        // For example, how do you split [0,0,0,0,0] into 3 buckets?
        // In this case, we simply put the elements into these buckets evenly.
        return list.chunked(list.size / expectedBucketNumber, smallElementAggregateFunction)
    }

    val largestElement = list.removeFirst()!!

   * typically useful for {@code return} statements. That leaves the code with two options: Either
   * add the suppression to the whole method (which turns off checking for a large section of code),
   * or extract a variable, and put the suppression on that. However, a local variable typically
   * doesn't work: Because nullness analyses typically infer the nullness of local variables,

      return original.get(columnKey, rowKey);
    }

    @Override
    public @Nullable V put(
        @ParametricNullness C rowKey,
        @ParametricNullness R columnKey,
        @ParametricNullness V value) {
      return original.put(columnKey, rowKey, value);
    }

    @Override
    public void putAll(Table<? extends C, ? extends R, ? extends V> table) {

     * @return the previous value associated with key, or null if no mapping existed
     */
    @Override
    public Object put(final String key, final Object value) {
        return parent.put(key, value);
    }

    /**
     * Removes the mapping for a key from this map if it is present.
     *
     * @param key the key whose mapping is to be removed from the map

   *
   * {@snippet :
   * static final ImmutableSortedMap<Integer, String> INT_TO_WORD =
   *     new ImmutableSortedMap.Builder<Integer, String>(Ordering.natural())
   *         .put(1, "one")
   *         .put(2, "two")
   *         .put(3, "three")
   *         .buildOrThrow();
   * }
   *
   * <p>For <i>small</i> immutable sorted maps, the {@code ImmutableSortedMap.of()} methods are even
   * more convenient.
   *