import org.apache.maven.api.annotations.Nullable;

/**
 * Centralized class for Maven Core feature information.
 * Features configured are supposed to be final in a given maven session.
 *
 * @since 4.0.0
 */
public final class Features {

    private Features() {}

    /**
     * Check if the personality is "maven3".
     */

# Özellikler { #features }

## FastAPI Özellikleri { #fastapi-features }

**FastAPI** size şunları sağlar:

### Açık Standartlara Dayalı { #based-on-open-standards }

# Merkmale { #features }

## FastAPI Merkmale { #fastapi-features }

**FastAPI** ermöglicht Ihnen Folgendes:

### Basiert auf offenen Standards { #based-on-open-standards }

# Возможности { #features }

## Возможности FastAPI { #fastapi-features }

**FastAPI** предлагает вам следующее:

### Основано на открытых стандартах { #based-on-open-standards }

# Recursos { #features }

## Recursos do FastAPI { #fastapi-features }

**FastAPI** te oferece o seguinte:

### Baseado em padrões abertos { #based-on-open-standards }

# Funcionalidades { #features }

## Funcionalidades de FastAPI { #fastapi-features }

**FastAPI** te ofrece lo siguiente:

### Basado en estándares abiertos { #based-on-open-standards }

# 기능 { #features }

## FastAPI의 기능 { #fastapi-features }

**FastAPI**는 다음과 같은 기능을 제공합니다:

### 개방형 표준을 기반으로 { #based-on-open-standards }

* [**OpenAPI**](https://github.com/OAI/OpenAPI-Specification): <dfn title="또한 다음으로도 불림: 엔드포인트, 라우트">경로</dfn> <dfn title="HTTP 메소드(POST, GET, PUT, DELETE 등)로도 알려짐">처리</dfn>, 매개변수, 요청 본문, 보안 등의 선언을 포함하여 API를 생성합니다.
* [**JSON Schema**](https://json-schema.org/)를 사용한 자동 데이터 모델 문서화(OpenAPI 자체가 JSON Schema를 기반으로 하기 때문입니다).

   * subsequent requests being smoothly limited at the stable rate of {@code permitsPerSecond}.
   *
   * @param permitsPerSecond the rate of the returned {@code RateLimiter}, measured in how many
   *     permits become available per second
   * @throws IllegalArgumentException if {@code permitsPerSecond} is negative or zero
   */
  // TODO(user): "This is equivalent to

  - type: textarea
    id: orthogonality
    attributes:
      label: "Orthogonality: How does this change interact or overlap with existing features?"
      description: "Is the goal of this change a performance improvement? If so, what quantifiable improvement should we expect? How would we measure it?"
    validations:
      required: false

  - type: textarea
    id: learning-curve
    attributes:

		measure: rx.measure,
		N:       rx.N + o.N,
	}
}

func calcAvg(x, y float64, n1, n2 int64) float64 {
	if n1+n2 == 0 {
		return 0
	}
	avg := (x*float64(n1) + y*float64(n2)) / float64(n1+n2)
	return avg
}

// Add a new transfer
func (rx *XferStats) addSize(sz int64, t time.Duration) {
	if rx.measure == nil {
		rx.measure = newRateMeasurement(time.Now())
	}
	rx.measure.incrementBytes(uint64(sz))