* This class provides default values for all Java types, as defined by the JLS.
 *
 * @author Ben Yu
 * @since 1.0
 */
@J2ktIncompatible
@GwtIncompatible
public final class Defaults {
  private Defaults() {}

  private static final Double DOUBLE_DEFAULT = 0d;
  private static final Float FLOAT_DEFAULT = 0f;

  /**
   * Returns the default value of {@code type} as defined by JLS --- {@code 0} for numbers, {@code

    AND LIMITATION MAY NOT APPLY TO YOU.

8. U.S. GOVERNMENT END USERS.

    The Covered Software is a "commercial item," as that term is defined
    in 48 C.F.R. 2.101 (Oct. 1995), consisting of "commercial computer
    software" (as that term is defined at 48 C.F.R. §
    252.227-7014(a)(1)) and "commercial computer software documentation"
    as such terms are used in 48 C.F.R. 12.212 (Sept. 1995). Consistent

{* ../../docs_src/request_form_models/tutorial001_an_py39.py hl[9:11,15] *}

**FastAPI** will **extract** the data for **each field** from the **form data** in the request and give you the Pydantic model you defined.

## Check the Docs { #check-the-docs }

You can verify it in the docs UI at `/docs`:

<div class="screenshot">
<img src="/img/tutorial/request-form-models/image01.png">
</div>

	}
	return arm64.SPOP_END
}

// IsARM64ADR reports whether the op (as defined by an arm64.A* constant) is
// one of the comparison instructions that require special handling.
func IsARM64ADR(op obj.As) bool {
	switch op {
	case arm64.AADR, arm64.AADRP:
		return true
	}
	return false
}

// IsARM64CMP reports whether the op (as defined by an arm64.A* constant) is

                assertEquals(0, closeMethod.getParameterCount());
                assertEquals(void.class, closeMethod.getReturnType());
            }, "close() method should be properly defined");
        }

        @Test
        @DisplayName("Should allow close method to be called multiple times")
        void shouldAllowMultipleCloseCallsOnMock() throws Exception {

    * And validators allow complex data schemas to be clearly and easily defined, checked and documented as JSON Schema.
    * You can have deeply **nested JSON** objects and have them all validated and annotated.
* **Extensible**:
    * Pydantic allows custom data types to be defined or you can extend validation with methods on a model decorated with the validator decorator.

 * is optional or mandatory), and possible exclusions for transitive dependencies.
 * The {@linkplain #getVersionConstraint() version} and the {@linkplain #getOptional() obligation}
 * may not be defined precisely.
 *
 * @since 4.0.0
 */
@Experimental
@Immutable
public interface DependencyCoordinates extends ArtifactCoordinates {
    /**
     * {@return the type of the dependency}

		}
	}
}

// Check if an API error is properly defined
func TestAPIErrCodeDefinition(t *testing.T) {
	for errAPI := ErrNone + 1; errAPI < apiErrCodeEnd; errAPI++ {
		errCode, ok := errorCodes[errAPI]
		if !ok {
			t.Fatal(errAPI, "error code is not defined in the API error code table")
		}
		if errCode.Code == "" {
			t.Fatal(errAPI, "error code has an empty XML code")
		}

# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
#

#
# Maven system properties
#
# The properties defined in this file will be made available through
# system properties at the very beginning of Maven's boot process.
#

maven.installation.conf = ${maven.home}/conf
maven.user.conf         = ${user.home}/.m2

If you want to secure your API, there are several better things you can do, for example:

* Make sure you have well defined Pydantic models for your request bodies and responses.
* Configure any required permissions and roles using dependencies.
* Never store plaintext passwords, only password hashes.