* **Intuitive**: Great editor support. <abbr title="also known as auto-complete, autocompletion, IntelliSense">Completion</abbr> everywhere. Less time debugging.
* **Easy**: Designed to be easy to use and learn. Less time reading docs.
* **Short**: Minimize code duplication. Multiple features from each parameter declaration. Fewer bugs.

#### Framed protocols

   *
   * <p>If the argument is nonnegative, the returned result will be equal to {@code bits},
   * otherwise, the result will be equal to {@code 2^64 + bits}.
   *
   * <p>To represent decimal constants less than {@code 2^63}, consider {@link #valueOf(long)}
   * instead.
   *
   * @since 14.0
   */
  public static UnsignedLong fromLongBits(long bits) {
    // TODO(lowasser): consider caching small values, like Long.valueOf

- `outputToken` – A token added to the response headers when the Lambda function returns the transformed object. This is used by MinIO to verify the incoming response validity.

Lets start the lambda handler.

```
python lambda_handler.py
 * Serving Flask app 'webhook'
 * Debug mode: off

But still, FastAPI got quite some inspiration from Requests.

**Requests** is a library to *interact* with APIs (as a client), while **FastAPI** is a library to *build* APIs (as a server).

They are, more or less, at opposite ends, complementing each other.

Requests has a very simple and intuitive design, it's very easy to use, with sensible defaults. But at the same time, it's very powerful and customizable.

    }

    /**
     * Reads up to len bytes of data from this input stream into an array of bytes.
     *
     * @throws IOException
     *             if a network error occurs
     */

    @Override
    public int read(final byte[] b, final int off, final int len) throws IOException {
        return readDirect(b, off, len);
    }

    /**

		if v != fmt.Sprintf("val%d", i) {
			t.Fatalf("value differs from expected")
		}
		if !ok {
			t.Fatalf("should be true")
		}
		if lc.Len() > 20 {
			t.Fatalf("length should be less than 20")
		}
	}

	if lc.Len() != 10 {
		t.Fatalf("length differs from expected")
	}
}

func TestLRUConcurrency(t *testing.T) {
	lc := lru.NewLRU[string, string](0, nil, 0)

	instructions["JL"] = x86.AJLT   /* alternate */
	instructions["JLE"] = x86.AJLE  /* less than or equal (signed) (ZF = 1 || SF != OF) */
	instructions["JLO"] = x86.AJCS  /* alternate */
	instructions["JLS"] = x86.AJLS  /* lower or same (unsigned) (CF = 1 || ZF = 1) */
	instructions["JLT"] = x86.AJLT  /* less than (signed) (SF != OF) */
	instructions["JMI"] = x86.AJMI  /* negative (minus) (SF = 1) */

		} else { // In a hole fragment
			bf := b[:min(int64(len(b)), holeEnd-sr.pos)]
			nf, err = tryReadFull(zeroReader{}, bf)
		}
		b = b[nf:]
		sr.pos += int64(nf)
		if sr.pos >= holeEnd && len(sr.sp) > 1 {
			sr.sp = sr.sp[1:] // Ensure last fragment always remains
		}
	}

	n = len(b0) - len(b)
	switch {
	case err == io.EOF:
		return n, errMissData // Less data in dense file than sparse file
	case err != nil:

Le schéma inclut les chemins de votre API, les paramètres potentiels de chaque chemin, etc.

#### "Schéma" de données

Le terme "schéma" peut aussi faire référence à la forme de la donnée, comme un contenu JSON.

Dans ce cas, cela signifierait les attributs JSON, ainsi que les types de ces attributs, etc.

#### OpenAPI et JSON Schema