@NullUnmarked
public class ServiceTest extends TestCase {

  /** Assert on the comparison ordering of the State enum since we guarantee it. */
  public void testStateOrdering() {
    // List every valid (direct) state transition.
    assertLessThan(NEW, STARTING);
    assertLessThan(NEW, TERMINATED);

    assertLessThan(STARTING, RUNNING);
    assertLessThan(STARTING, STOPPING);
    assertLessThan(STARTING, FAILED);

     *
     * @return the signing key or null if not available
     */
    byte[] getSigningKey();

    /**
     * Validates authentication credentials
     *
     * @return true if credentials are valid
     */
    boolean validateCredentials();

    /**
     * Clears sensitive authentication data
     */
    void clearSensitiveData();

    /**
     * Gets authentication metadata for auditing
     *

    * The generated schema will specify that it's a `str` with `binary` "format".
* `Decimal`:
    * Standard Python `Decimal`.
    * In requests and responses, handled the same as a `float`.
* You can check all the valid Pydantic data types here: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic data types</a>.

## Example { #example }

    # insert_assert(response.json())
    assert response.json() == {
        "detail": [
            {
                "type": "string_type",
                "loc": ["tags", 3],
                "msg": "Input should be a valid string",
                "input": {"sneaky": "object"},
            }
        ]
    }


def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")

  @SuppressWarnings("TruthSelfEquals")
  public void testEquals() {
    // sanity check on construction of copyOfWrappedSet
    assertThat(wrappedSet).isEqualTo(copyOfWrappedSet);

    // test that setToTest is still valid
    assertThat(setToTest).isEqualTo(wrappedSet);
    assertThat(setToTest).isEqualTo(copyOfWrappedSet);

    // invalidate setToTest
    wrappedSet.remove(1);
    // sanity check on update of wrappedSet

    assert response.json() == {
        "detail": [
            {
                "type": "int_parsing",
                "loc": ["body", "size"],
                "msg": "Input should be a valid integer, unable to parse string as an integer",
                "input": "XL",
            }
        ],
        "body": {"title": "towel", "size": "XL"},
    }


def test_post():

    assert response.json() == {
        "detail": [
            {
                "type": "float_parsing",
                "loc": ["body", "price"],
                "msg": "Input should be a valid number, unable to parse string as a number",
                "input": "invalid price",
            }
        ]
    }


def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")

        // Invalid regex pattern should be handled gracefully
        urlFilter.addInclude(".*[invalid");
        urlFilter.addInclude("https://valid.com/.*");

        // Valid pattern should still work
        assertTrue(urlFilter.match("https://valid.com/page"));
    }

    /**
     * Test adding a single exclude pattern
     */
    public void test_addExclude_singlePattern() {

                "path",
                "item_id"
            ],
            "msg": "value is not a valid integer",
            "type": "type_error.integer"
        }
    ]
}
```

você receberá a versão em texto:

```
Validation errors:
Field: ('path', 'item_id'), Error: Input should be a valid integer, unable to parse string as an integer
```

```JSON
{
  "detail": [
    {
      "type": "int_parsing",
      "loc": [
        "path",
        "item_id"
      ],
      "msg": "Input should be a valid integer, unable to parse string as an integer",
      "input": "foo"
    }
  ]
}
```

because the path parameter `item_id` had a value of `"foo"`, which is not an `int`.