} else {
          System.err.println(callback.prompt)
          callback.password =
            System.`in`
              .bufferedReader()
              .readLine()
              .toCharArray()
        }
      } else {
        throw UnsupportedCallbackException(callback)
      }
    }
  }
}

fun main() {
  YubikeyClientAuth().run()

   * Asserts that the collection under test contains exactly the given elements, respecting
   * cardinality but not order. Subclasses may override this method to provide stronger assertions,
   * e.g., to check ordering in lists, but realize that <strong>unless a test extends {@link
   * com.google.common.collect.testing.testers.AbstractListTester AbstractListTester}, a call to
   * {@code expectContents()} invokes this version</strong>.
   *

So, in our example, we can make `tags` be specifically a "list of strings":

{* ../../docs_src/body_nested_models/tutorial002_py310.py hl[12] *}

## Set types { #set-types }

But then we think about it, and realize that tags shouldn't repeat, they would probably be unique strings.

And Python has a special data type for sets of unique items, the `set`.

Then we can declare `tags` as a set of strings:

/// info

`File` est une classe qui hérite directement de `Form`.

Mais souvenez-vous que lorsque vous importez `Query`, `Path`, `File` et d'autres depuis `fastapi`, ce sont en réalité des fonctions qui renvoient des classes spéciales.

///

/// tip | Astuce

   */
  public static List<String> readLines(Readable r) throws IOException {
    List<String> result = new ArrayList<>();
    LineReader lineReader = new LineReader(r);
    String line;
    while ((line = lineReader.readLine()) != null) {
      result.add(line);
    }
    return result;
  }

  /**
   * Streams lines from a {@link Readable} object, stopping when the processor returns {@code false}

	)

	AssertAssociationCount(t, users, "Pets", 10, "After Append")

	// Replace -> same as append
	DB.Model(&users).Association("Pets").Replace(
		[]*Pet{{Name: "pet-slice-replace-1-1"}, {Name: "pet-slice-replace-1-2"}},
		[]*Pet{{Name: "pet-slice-replace-2-1"}, {Name: "pet-slice-replace-2-2"}},
		&Pet{Name: "pet-slice-replace-3"},
	)

	AssertAssociationCount(t, users, "Pets", 5, "After Append")

	// Delete

## Consequences

* Classes are forced to have consistent nullability annotations.
* IDE warnings become more accurate, reducing warnings fatigue.
* Public API nullability annotations become closer to reality.
* Java compilation of Gradle code suffers from small performance penalty (up to 10%).
* Time has to be allocated to clean up existing projects.
* One has to write NullAway-conformant code even when hacking.

			}

			// Update size fields in the header block.
			realSize := hdr.Size
			hdr.Size = 0 // Encoded size; does not account for encoded sparse map
			for _, s := range spd {
				hdr.Size += s.Length
			}
			copy(blk.V7().Size(), zeroBlock[:]) // Reset field
			f.formatNumeric(blk.V7().Size(), hdr.Size)
			f.formatNumeric(blk.GNU().RealSize(), realSize)
		}
	*/
	blk.setFormat(FormatGNU)

	echo "verified sitea-> COMPLETED, siteb-> REPLICA"
fi

if diff -pruN <(./mc stat --no-list --json sitea/bucket/hosts | jq .) <(./mc stat --no-list --json sitec/bucket/hosts | jq .) | grep -q 'COMPLETED\|REPLICA'; then
	echo "verified sitea-> COMPLETED, sitec-> REPLICA"
fi

echo "Verifying the metadata difference between source and target"

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[11:14] *}

`Field` fonctionne de la même manière que `Query`, `Path` et `Body`, il dispose des mêmes paramètres, etc.

/// note | Détails techniques

En réalité, `Query`, `Path` et d'autres que vous verrez ensuite créent des objets de sous-classes d'une classe commune `Param`, qui est elle-même une sous-classe de la classe `FieldInfo` de Pydantic.