self.last_query_cost: int = 1
        self.remaining_points: int = 5000
        self.reset_at: datetime = datetime.fromtimestamp(0, timezone.utc)
        self.last_request_start_time: datetime = datetime.fromtimestamp(0, timezone.utc)
        self.speed_multiplier: float = 1.0

    def __enter__(self) -> "RateLimiter":
        now = datetime.now(tz=timezone.utc)

        # Handle primary rate limits
        primary_limit_wait_time = 0.0

ENCODERS_BY_TYPE: dict[type[Any], Callable[[Any], Any]] = {
    bytes: lambda o: o.decode(),
    Color: str,  # ty: ignore[deprecated]
    datetime.date: isoformat,
    datetime.datetime: isoformat,
    datetime.time: isoformat,
    datetime.timedelta: lambda td: td.total_seconds(),
    Decimal: decimal_encoder,
    Enum: lambda o: o.value,
    frozenset: list,
    deque: list,
    GeneratorType: list,

  os.makedirs(os.path.dirname(output_path), exist_ok=True)
  failure_count = 0
  error_count = 0

  date_time = datetime.datetime
  attrib = {'name': 'Bazel Invocations', 'time': '0.0',
            'timestamp': date_time.isoformat(date_time.utcnow())}
  testsuites = ElemTree.Element('testsuites')
  testsuite = ElemTree.SubElement(testsuites, 'testsuite')

            return new Date(time);
        } catch (final Exception e) {
            return null;
        }
    }

    /**
     * Formats a Date object to ISO datetime string format in UTC timezone.
     *
     * @param date the date to format
     * @return formatted date string, or empty string if date is null
     */
    public static String formatDate(final Date date) {

Python 타입을 어떻게 사용하는지 2분 정도 복습이 필요하다면(FastAPI를 사용하지 않더라도), 다음의 짧은 자습서를 확인하세요: [Python 타입](python-types.md).

여러분은 타입이 있는 표준 Python을 다음과 같이 작성합니다:

```Python
from datetime import date

from pydantic import BaseModel

# 변수를 str로 선언합니다
# 그리고 함수 내부에서 편집기 지원을 받습니다
def main(user_id: str):
    return user_id


# Pydantic 모델
class User(BaseModel):
    id: int

             value JSON)
           CHARACTER SET = utf8mb4 COLLATE = utf8mb4_bin ROW_FORMAT = Dynamic;`
	mysqlCreateAccessTable = `CREATE TABLE %s (event_time DATETIME NOT NULL, event_data JSON)
                                    ROW_FORMAT = Dynamic;`

	mysqlUpdateRow = `INSERT INTO %s (key_name, value) VALUES (?, ?) ON DUPLICATE KEY UPDATE value=VALUES(value);`

    // Date/Time Format Constants
    // ============================================================

    /** Default datetime format pattern without timezone. */
    public static final String DEFAULT_DATETIME_FORMAT = "yyyy-MM-dd'T'HH:mm:ss";

    /** ISO datetime format pattern with milliseconds and UTC timezone. */
    public static final String ISO_DATETIME_FORMAT = "yyyy-MM-dd'T'HH:mm:ss.SSS'Z'";

（FastAPI を使わない場合でも）Python の型の使い方を 2 分で復習したい場合は、短いチュートリアル [Python の型](python-types.md) を参照してください。

型を使った標準的な Python を記述します:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model

    * Перетворення типів Python (`str`, `int`, `float`, `bool`, `list`, тощо).
    * Обʼєктів `datetime`.
    * Обʼєктів `UUID`.
    * Моделей бази даних.
    * ...та багато іншого.
* Автоматичну інтерактивну документацію API, включно з 2 альтернативними інтерфейсами користувача:
    * Swagger UI.
    * ReDoc.

    * Konvertieren von Python-Typen (`str`, `int`, `float`, `bool`, `list`, usw.).
    * `datetime`-Objekte.
    * `UUID`-Objekte.
    * Datenbankmodelle.
    * ... und viele mehr.
* Automatische interaktive API-Dokumentation, einschließlich zwei alternativer Benutzeroberflächen:
    * Swagger UI.
    * ReDoc.