return nil, true
	}
	if _, ok := metadata[MetaContext]; ok {
		return nil, true
	}
	return nil, false
}

// CreateMultipartMetadata adds the multipart flag entry to metadata
// and returns modified metadata. It allocates a new metadata map if
// metadata is nil.
func CreateMultipartMetadata(metadata map[string]string) map[string]string {
	if metadata == nil {
		return map[string]string{MetaMultipart: ""}
	}

	for obj := range objCh {
		if obj.Err != nil {
			log.Fatalf("Listing error: %v", obj.Err)
		}
		fmt.Printf("Key: %s\nSize: %d\nLast Modified: %s\n===\n", obj.Key, obj.Size, obj.LastModified)
	}

    # Note that you could generate a list of all the affected targets with e.g.:
    # bazel query $(paste -sd "+" $BATS_FILE_TMPDIR/changed_files) --keep_going
    # Only shows Added, Changed, Modified, Renamed, and Type-changed files
    if [[ "$(git rev-parse --abbrev-ref HEAD)" == "pull_branch" ]]; then
        # TF's CI runs 'git fetch origin "pull/PR#/merge:pull_branch"'

        }
        return defaultValue;
    }

    /**
     * Creates a new DataStoreParams instance with a copy of the current parameters.
     * This provides an independent copy that can be modified without affecting the original.
     *
     * @return a new DataStoreParams instance containing a copy of the current parameters
     */
    public DataStoreParams newInstance() {

        context.println();
        context.info(getDescription() + " Summary:");
        context.indent();
        context.info(result.modifiedCount() + " POM(s) modified");
        context.info(result.unmodifiedCount() + " POM(s) needed no changes");
        if (result.errorCount() > 0) {
            context.info(result.errorCount() + " POM(s) had errors");
        }

En fait, dans certains cas, il y aura même **deux schémas JSON** dans OpenAPI pour le même modèle Pydantic, pour l'entrée et pour la sortie, selon s'ils ont des **valeurs par défaut**.

Voyons comment cela fonctionne et comment le modifier si vous devez le faire.

## Utiliser des modèles Pydantic pour l'entrée et la sortie { #pydantic-models-for-input-and-output }

Supposons que vous ayez un modèle Pydantic avec des valeurs par défaut, comme celui‑ci :

 * domain, as explained at
 * http://creativecommons.org/publicdomain/zero/1.0/
 */

/*
 * Source:
 * http://gee.cs.oswego.edu/cgi-bin/viewcvs.cgi/jsr166/src/jsr166e/extra/AtomicDouble.java?revision=1.13
 * (Modified to adapt to guava coding conventions and
 * to use AtomicLong instead of sun.misc.Unsafe)
 */

package com.google.common.util.concurrent;

import static java.lang.Double.doubleToRawLongBits;

 *             missCount}.
 *       </ul>
 *   <li>When an entry is evicted from the cache, {@code evictionCount} is incremented.
 *   <li>No stats are modified when a cache entry is invalidated or manually removed.
 *   <li>No stats are modified by operations invoked on the {@linkplain Cache#asMap asMap} view of
 *       the cache.
 * </ul>
 *

 *             missCount}.
 *       </ul>
 *   <li>When an entry is evicted from the cache, {@code evictionCount} is incremented.
 *   <li>No stats are modified when a cache entry is invalidated or manually removed.
 *   <li>No stats are modified by operations invoked on the {@linkplain Cache#asMap asMap} view of
 *       the cache.
 * </ul>
 *

## `fastapi dev` { #fastapi-dev }

L’exécution de `fastapi dev` lance le mode développement.