class UploadFile(StarletteUploadFile):
    """
    A file uploaded in a request.

    Define it as a *path operation function* (or dependency) parameter.

    If you are using a regular `def` function, you can use the `upload_file.file`
    attribute to access the raw standard Python file (blocking, not async), useful and
    needed for non-async code.

    Read more about it in the

    dns[uriHost] = dns.allocate(numberOfAddresses)

    // Extract the regular sequence of routes from selector.
    val selection1 = routeSelector.next()
    val regularRoutes = selection1.routes

    // Check that we do indeed have more than one route.
    assertThat(regularRoutes.size).isEqualTo(numberOfAddresses)
    // Add first regular route as failed.
    routeDatabase.failed(regularRoutes[0])
    // Reset selector

        // TODO: Staging directory should be a part of the Javadocs extension
        // TODO: Pull out more of this configuration into the extension if it makes sense
        // TODO: in a typical project, this may need to be the regular javadoc task vs javadocAll

        ObjectFactory objects = project.getObjects();
        // TODO: This breaks if version is changed later
        Object version = project.getVersion();

                }
            }

            private Model findRawModel(Path from, Path p) {
                if (!Files.isRegularFile(p)) {
                    throw new IllegalArgumentException("Not a regular file: " + p);
                }

                if (!addEdge(from, p, problems)) {
                    return null;
                }

	}
	minioClient, err := minio.New(stsEndpointURL.Host, copts)
	if err != nil {
		log.Fatalf("Error initializing client: ", err)
	}

	// Use minIO Client object normally like the regular client.
	fmt.Printf("Calling list objects on bucket named `%s` with temp creds:\n===\n", bucketToList)
	objCh := minioClient.ListObjects(context.Background(), bucketToList, minio.ListObjectsOptions{})
	for obj := range objCh {

func (ns NamingStrategy) SchemaName(table string) string {
	table = strings.TrimPrefix(table, ns.TablePrefix)

	if ns.SingularTable {
		return ns.toSchemaName(table)
	}
	return ns.toSchemaName(inflection.Singular(table))
}

// ColumnName convert string to column name
func (ns NamingStrategy) ColumnName(table, column string) string {
	return ns.toDBName(column)
}

// JoinTableName convert string to join table name

    ```Python hl_lines="10"
    {!> ../../../docs_src/query_params_str_validations/tutorial003.py!}
    ```

## Add regular expressions

You can define a <abbr title="A regular expression, regex or regexp is a sequence of characters that define a search pattern for strings.">regular expression</abbr> `pattern` that the parameter should match:

=== "Python 3.10+"

    ```Python hl_lines="11"

7. Here the `response_model` is using a type annotation of a list of `Author` dataclasses.

    Again, you can combine `dataclasses` with standard type annotations.

8. Notice that this *path operation function* uses regular `def` instead of `async def`.

    As always, in FastAPI you can combine `def` and `async def` as needed.

The unified KMS-based approach has several advantages:

- Key management is now centralized. There is one way to change or rotate encryption keys.
   There used to be two different mechanisms - one for regular S3 objects and one for IAM data.
- Reduced server startup time. For IAM encryption with the root credentials, MinIO had
   to use a memory-hard function (Argon2) that (on purpose) consumes a lot of memory and CPU.

	minioClient, err := minio.New(stsEndpointURL.Host, opts)
	if err != nil {
		log.Fatalf("Error initializing client: %v", err)
	}

	// Use minIO Client object normally like the regular client.
	if bucketToList == "" {
		bucketToList = minioUsername
	}
	fmt.Printf("Calling list objects on bucket named `%s` with temp creds:\n===\n", bucketToList)