// are not included.
// Common type names include "VARCHAR", "TEXT", "NVARCHAR", "DECIMAL", "BOOL",
// "INT", and "BIGINT".
func (ct ColumnType) DatabaseTypeName() string {
	if ct.DataTypeValue.Valid {
		return ct.DataTypeValue.String
	}
	return ct.SQLColumnType.DatabaseTypeName()
}

// ColumnType returns the database type of the column. like `varchar(16)`

  private static <T> void setImplementation(Class<T> type, Class<? extends T> implementation) {
    checkArgument(type != implementation, "Don't register %s to itself!", type);
    checkArgument(
        !DEFAULTS.containsKey(type), "A default value was already registered for %s", type);
    checkArgument(
        implementations.put(type, implementation) == null,
        "Implementation for %s was already registered",

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package okhttp3.survey

import okhttp3.survey.types.Client
import okhttp3.survey.types.SuiteId

/**
 * Organizes information on SSL cipher suite inclusion and precedence for this spreadsheet.
 * https://docs.google.com/spreadsheets/d/1C3FdZSlCBq_-qrVwG1KDIzNIB3Hyg_rKAcgmSzOsHyQ/edit#gid=0
 */

  implementation("com.google.guava:guava:33.5.0-jre")

  // 2. Use Guava types in your public API:
  api("com.google.guava:guava:33.5.0-jre")

  // 3. Android - Use Guava in your implementation only:
  implementation("com.google.guava:guava:33.5.0-android")

  // 4. Android - Use Guava types in your public API:
  api("com.google.guava:guava:33.5.0-android")
}
```

Hug was one of the first frameworks to implement the declaration of API parameter types using Python type hints. This was a great idea that inspired other tools to do the same.

It used custom types in its declarations instead of standard Python types, but it was still a huge step forward.

It also was one of the first frameworks to generate a custom schema declaring the whole API in JSON.

        require_serial: true
        language: unsupported
        types: [python]

      - id: local-ruff-format
        name: ruff format
        entry: uv run ruff format --force-exclude --exit-non-zero-on-format
        require_serial: true
        language: unsupported
        types: [python]

      - id: add-permalinks-pages
        language: unsupported
        name: add-permalinks-pages

    return values, errors


def is_union_of_base_models(field_type: Any) -> bool:
    """Check if field type is a Union where all members are BaseModel subclasses."""
    from fastapi.types import UnionType

    origin = get_origin(field_type)

    # Check if it's a Union type (covers both typing.Union and types.UnionType in Python 3.10+)
    if origin is not Union and origin is not UnionType:
        return False

import jakarta.validation.ConstraintValidator;
import jakarta.validation.ConstraintValidatorContext;

/**
 * Validator implementation for URI type constraints.
 * This validator checks URI strings against specified protocol types.
 */
public class UriTypeValidator implements ConstraintValidator<UriType, String> {

    /**
     * Default constructor for UriTypeValidator.
     */

     */
    protected ArtifactTypeRegistry getArtifactTypeRegistry() {
        DefaultArtifactTypeRegistry stereotypes = new DefaultArtifactTypeRegistry();
        new DefaultTypeProvider().types().forEach(stereotypes::add);
        return stereotypes;
    }

    protected ArtifactDescriptorPolicy getArtifactDescriptorPolicy() {

Hug a été l'un des premiers frameworks à implémenter la déclaration des types de paramètres d'API en utilisant les type hints Python. C'était une excellente idée qui a inspiré d'autres outils à faire de même.

Il utilisait des types personnalisés dans ses déclarations au lieu des types Python standard, mais c'était tout de même un énorme pas en avant.