assertTrue(locator("smb://server/share/").isRootOrShare());
        assertFalse(locator("smb://server/share/path").isRootOrShare());
    }

    @Test
    @DisplayName("DFS getters and handleDFSReferral update paths and share")
    void testDfsBehavior() {
        SmbResourceLocatorImpl l = locator("smb://server/share/path");
        assertNull(l.getDfsReferral());

        DfsReferralData dr = mock(DfsReferralData.class);

{* ../../docs_src/body_updates/tutorial002_py310.py hl[32] *}

### Использование параметра `update` в Pydantic { #using-pydantics-update-parameter }

Теперь можно создать копию существующей модели, используя `.model_copy()`, и передать параметр `update` с `dict`, содержащим данные для обновления.

Например, `stored_item_model.model_copy(update=update_data)`:

{* ../../docs_src/body_updates/tutorial002_py310.py hl[33] *}

{* ../../docs_src/body_updates/tutorial002_py310.py hl[32] *}

### Використання параметра `update` у Pydantic { #using-pydantics-update-parameter }

Тепер Ви можете створити копію наявної моделі за допомогою `.model_copy()`, і передати параметр `update` з `dict`, який містить дані для оновлення.

Наприклад: `stored_item_model.model_copy(update=update_data)`:

{* ../../docs_src/body_updates/tutorial002_py310.py hl[33] *}

  Users should update import path for these types from `k8s.io/kubernetes/pkg/scheduler/framework` to `k8s.io/kube-scheduler/framework` and update use of fields (to use getter/setter functions instead) where needed. ([#132457](https://github.com/kubernetes/kubernetes/pull/132457), [@ania-borowiec](https://github.com/ania-borowiec)) [SIG Node, Scheduling, Storage and Testing]

        // nothing

        return appendQueryParameter(document, url);
    }

    /**
     * Updates file protocol based on user agent type.
     * Handles different browser-specific file protocol formats.
     *
     * @param url the file URL to update
     * @return the updated URL with appropriate file protocol
     */
    protected String updateFileProtocol(String url) {

{* ../../docs_src/body_updates/tutorial002_py310.py hl[32] *}

### Usando o parâmetro `update` do Pydantic { #using-pydantics-update-parameter }

Agora, você pode criar uma cópia do modelo existente usando `.model_copy()`, e passar o parâmetro `update` com um `dict` contendo os dados para atualizar.

Como `stored_item_model.model_copy(update=update_data)`:

{* ../../docs_src/body_updates/tutorial002_py310.py hl[33] *}

    status->status = tensorflow::errors::OutOfRange(
        "Cannot update edge. Input index [", dst.index,
        "] is greater than the number of total inputs [", ic_dst->num_inputs(),
        "].");
    return;
  }
  if (!ic_dst->MergeInput(dst.index, shape)) {
    status->status = tensorflow::errors::InvalidArgument(
        "Cannot update edge, incompatible shapes: ", ic_dst->DebugString(shape),

 * while adding a new pair.
 *
 * <p>This class is not threadsafe when any concurrent operations update the multimap, even if the
 * underlying map and {@link #createCollection()} method return threadsafe classes. Concurrent read
 * operations will work correctly. To allow concurrent update operations, wrap your multimap with a
 * call to {@link Multimaps#synchronizedMultimap}.
 *

    if (allMustSucceed) {
      // We need fail fast, so we have to keep track of which future failed so we can propagate
      // the exception immediately

      // Register a listener on each Future in the list to update the state of this future.
      // Note that if all the futures on the list are done prior to completing this loop, the last
      // call to addListener() will callback to setOneValue(), transitively call our cleanup

	// accounts), STS accounts, internal IDP accounts, etc) with the
	// policy.UpdateServiceAccountAdminAction permission can update any service
	// account.
	//
	// 2. We would like to let a user update their own access keys, however it
	// is currently blocked pending a re-design. Users are still able to delete
	// and re-create them.
	if !globalIAMSys.IsAllowed(policy.Args{