"input": None,
            }
        ]
    }


@pytest.mark.parametrize(
    argnames=["grant_type"],
    argvalues=[
        pytest.param("incorrect", id="incorrect value"),
        pytest.param("passwordblah", id="password with suffix"),
        pytest.param("blahpassword", id="password with prefix"),
    ],
)
def test_strict_login_incorrect_grant_type(grant_type: str):

* Leer el body del request como JSON.
* Convertir los tipos correspondientes (si es necesario).
* Validar los datos.
    * Si los datos son inválidos, devolverá un error claro e indicado, señalando exactamente dónde y qué fue lo incorrecto.
* Proporcionar los datos recibidos en el parámetro `item`.
    * Como lo declaraste en la función como de tipo `Item`, también tendrás todo el soporte del editor (autocompletado, etc.) para todos los atributos y sus tipos.

                    + " Scope: " + artifact.getScope());
            assertTrue(
                    artifact.getVersion().equals("1.0"), "Incorrect version for " + artifact.getDependencyConflictId());
        }
    }

) -> Token:
    user = authenticate_user(fake_users_db, form_data.username, form_data.password)
    if not user:
        raise HTTPException(
            status_code=status.HTTP_401_UNAUTHORIZED,
            detail="Incorrect username or password",
            headers={"WWW-Authenticate": "Bearer"},
        )
    access_token_expires = timedelta(minutes=ACCESS_TOKEN_EXPIRE_MINUTES)
    access_token = create_access_token(

) -> Token:
    user = authenticate_user(fake_users_db, form_data.username, form_data.password)
    if not user:
        raise HTTPException(
            status_code=status.HTTP_401_UNAUTHORIZED,
            detail="Incorrect username or password",
            headers={"WWW-Authenticate": "Bearer"},
        )
    access_token_expires = timedelta(minutes=ACCESS_TOKEN_EXPIRE_MINUTES)
    access_token = create_access_token(

    initMapWithNullValue();
    testToString_formatting();
  }

  @CollectionFeature.Require(absent = NON_STANDARD_TOSTRING)
  public void testToString_formatting() {
    assertEquals(
        "map.toString() incorrect", expectedToString(getMap().entrySet()), getMap().toString());
  }

  private String expectedToString(Set<Entry<K, V>> entries) {
    Map<K, V> reference = new LinkedHashMap<>();
    for (Entry<K, V> entry : entries) {

                    + " Optional=" + (artifact.isOptional() ? "true" : "false"));
            assertTrue(
                    artifact.getVersion().equals("1.0"), "Incorrect version for " + artifact.getDependencyConflictId());
        }
    }

* Read the body of the request as JSON.
* Convert the corresponding types (if needed).
* Validate the data.
    * If the data is invalid, it will return a nice and clear error, indicating exactly where and what was the incorrect data.
* Give you the received data in the parameter `item`.
    * As you declared it in the function to be of type `Item`, you will also have all the editor support (completion, etc) for all of the attributes and their types.

 *  Upgrade: [Kotlin 1.3.71][kotlin_1_3_71].


## Version 4.5.0

_2020-04-06_

**This release fixes a severe bug where OkHttp incorrectly detected and recovered from unhealthy
connections.** Stale or canceled connections were incorrectly attempted when they shouldn't have
been, leading to rare cases of infinite retries. Please upgrade to this release!

	for _, totalSize := range totalSizes {
		// Check if totalSize has minimum range upto setSize
		if totalSize < setSizes[0] || totalSize < setDriveCount {
			msg := fmt.Sprintf("Incorrect number of endpoints provided %s", args)
			return nil, config.ErrInvalidNumberOfErasureEndpoints(nil).Msg(msg)
		}
	}

	commonSize := getDivisibleSize(totalSizes)