예를 들면, 위의 이 모델은 JSON "`object`" (혹은 파이썬 `dict`)을 다음과 같이 선언합니다:

```JSON
{
    "name": "Foo",
    "description": "선택적인 설명란",
    "price": 45.2,
    "tax": 3.5
}
```

...`description`과 `tax`는 (기본 값이 `None`으로 되어 있어) 선택적이기 때문에, 이 JSON "`object`"는 다음과 같은 상황에서도 유효합니다:

```JSON
{
    "name": "Foo",
    "price": 45.2
}
```

## 매개변수로서 선언하기

   * implementation. Experimentally determined.
   */
  private static final int MAX_HASH_BUCKET_LENGTH = 9;

  // See CompactHashMap for a detailed description of how the following fields work. That
  // description talks about `keys`, `values`, and `entries`; here the `keys` and `values` arrays
  // are replaced by a single `elements` array but everything else works similarly.

  /**

            doColumn("createdTime");
        }

        public void columnDepth() {
            doColumn("depth");
        }

        public void columnDescription() {
            doColumn("description");
        }

        public void columnExcludedDocUrls() {
            doColumn("excludedDocUrls");
        }

        public void columnExcludedUrls() {
            doColumn("excludedUrls");

if not errorlevel 1 goto installed

Poderia ser assim:

```JSON  hl_lines="7"
{
  "name": "frontend-app",
  "version": "1.0.0",
  "description": "",
  "main": "index.js",
  "scripts": {
    "generate-client": "openapi-ts --input http://localhost:8000/openapi.json --output ./src/client --client axios"
  },
  "author": "",
  "license": "",

ldap.attr.homePostalAddress=homePostalAddress
# LDAP attribute for labeled URI.
ldap.attr.labeledURI=labeledURI
# LDAP attribute for room number.
ldap.attr.roomNumber=roomNumber
# LDAP attribute for description.
ldap.attr.description=description
# LDAP attribute for title.
ldap.attr.title=title
# LDAP attribute for pager.
ldap.attr.pager=pager
# LDAP attribute for street.
ldap.attr.street=street

            doColumn("createdTime");
        }

        public void columnDepth() {
            doColumn("depth");
        }

        public void columnDescription() {
            doColumn("description");
        }

        public void columnExcludedDocPaths() {
            doColumn("excludedDocPaths");
        }

        public void columnExcludedPaths() {
            doColumn("excludedPaths");

`PUT` ⚙️ 📨 💽 👈 🔜 ❎ ♻ 💽.

### ⚠ 🔃 ❎

👈 ⛓ 👈 🚥 👆 💚 ℹ 🏬 `bar` ⚙️ `PUT` ⏮️ 💪 ⚗:

```Python
{
    "name": "Barz",
    "price": 3,
    "description": None,
}
```

↩️ ⚫️ 🚫 🔌 ⏪ 🏪 🔢 `"tax": 20.2`, 🔢 🏷 🔜 ✊ 🔢 💲 `"tax": 10.5`.

& 📊 🔜 🖊 ⏮️ 👈 "🆕" `tax` `10.5`.

## 🍕 ℹ ⏮️ `PATCH`

    interface Transformer {
        /**
         * Interpolate the value read from the xml document
         *
         * @param source    The source value
         * @param fieldName A description of the field being interpolated. The implementation may use this to
         *                  log stuff.
         * @return the interpolated value
         */
        String transform(String source, String fieldName);

        val descriptionSuffix =
            if (descriptionParts.isNotEmpty()) {
                " (${descriptionParts.joinToString(separator = ", ")})"
            } else {
                ""
            }
        description =
            "Builds Gradle with the version of Gradle which is currently under development (twice)$descriptionSuffix"

        requirements {