# Introduction aux Types Python

Python supporte des annotations de type (ou *type hints*) optionnelles.

Ces annotations de type constituent une syntaxe spéciale qui permet de déclarer le <abbr title="par exemple : str, int, float, bool">type</abbr> d'une variable.

En déclarant les types de vos variables, cela permet aux différents outils comme les éditeurs de texte d'offrir un meilleur support.

            tail[padLen + i] = (byte) (count * 8 >>> 8 * i);
        }

        engineUpdate(tail, 0, tail.length);

        final byte[] result = new byte[16];
        // cast this MD4's context (array of 4 ints) into an array of 16 bytes.
        for (int i = 0; i < 4; i++) {
            for (int j = 0; j < 4; j++) {
                result[i * 4 + j] = (byte) (context[i] >>> 8 * j);
            }
        }

        assertEquals(0x08, ace.getFlags());
        assertEquals(0x00000001, ace.getAccessMask());
    }

    @ParameterizedTest
    @DisplayName("Test various access mask values")
    @ValueSource(ints = { 0x00000001, // FILE_READ_DATA
            0x00000002, // FILE_WRITE_DATA
            0x00000004, // FILE_APPEND_DATA
            0x00010000, // DELETE
            0x00020000, // READ_CONTROL

                    "Should throw configured exception");
        }

        @ParameterizedTest
        @ValueSource(ints = { 1, 10, 50, 100, 255 })
        @DisplayName("Should handle various data lengths")
        void testVariousDataLengths(int length) throws SMBProtocolDecodingException {

  public static boolean isPowerOfTwo(long x) {
    return x > 0 & (x & (x - 1)) == 0;
  }

  /**
   * Returns 1 if {@code x < y} as unsigned longs, and 0 otherwise. Assumes that x - y fits into a
   * signed long. The implementation is branch-free, and benchmarks suggest it is measurably faster
   * than the straightforward ternary expression.
   */
  @VisibleForTesting

            assertEquals(3, SMBUtil.readInt2(buffer, 2));
            assertArrayEquals(salt, Arrays.copyOfRange(buffer, 4, 7));
        }

        @ParameterizedTest
        @ValueSource(ints = { 1, 3, 5, 10, 20 })
        @DisplayName("Should encode various hash algorithm counts correctly")
        void testEncodeVariousHashAlgoCounts(int algoCount) {
            int[] hashAlgos = new int[algoCount];

            assertEquals(100, testResponse.getAvailable());
            assertEquals(status, testResponse.getStatus());
        }
    }

    @ParameterizedTest
    @ValueSource(ints = { 0, 1, 100, 255, 1000, 32767, 65535 })
    @DisplayName("readParametersWireFormat should handle various available values")
    void testReadParametersWireFormatWithVariousAvailableValues(int available) {
        // Arrange

            description,
            cls,
            explicitTestNames.get(0),
            cls.getName());
    return new AssertionError(message, e);
  }

  /**
   * Finds the classes not ending with a test suffix and not covered by an explicit test whose name
   * is {@code explicitTestNames}.
   */
  @VisibleForTesting
  List<Class<?>> findClassesToTest(

Puedes obtener el `root_path` actual utilizado por tu aplicación para cada request, es parte del diccionario `scope` (que es parte de la especificación ASGI).

Aquí lo estamos incluyendo en el mensaje solo con fines de demostración.

{* ../../docs_src/behind_a_proxy/tutorial001.py hl[8] *}

Luego, si inicias Uvicorn con:

<div class="termy">

```console
$ fastapi run main.py --root-path /api/v1

        }
    }

    @Nested
    @DisplayName("Context Flags Tests")
    class ContextFlagsTests {

        @ParameterizedTest
        @ValueSource(ints = { NegTokenInit.DELEGATION, NegTokenInit.MUTUAL_AUTHENTICATION, NegTokenInit.REPLAY_DETECTION,
                NegTokenInit.SEQUENCE_CHECKING, NegTokenInit.ANONYMITY, NegTokenInit.CONFIDENTIALITY, NegTokenInit.INTEGRITY })