Note, since it is still `pip` and `pip-compile` tools used under the hood, so
most of the command line arguments and features supported by those tools will be
acknowledged by the Bazel requirements updater command as well. For example, if
you wish the updater to consider pre-release versions simply pass `--pre`
argument to the bazel command:

```

)

func TestUpdateHasManyAssociations(t *testing.T) {
	user := *GetUser("update-has-many", Config{})

	if err := DB.Create(&user).Error; err != nil {
		t.Fatalf("errors happened when create: %v", err)
	}

	user.Pets = []*Pet{{Name: "pet1"}, {Name: "pet2"}}
	if err := DB.Save(&user).Error; err != nil {
		t.Fatalf("errors happened when update: %v", err)
	}

	var user2 User
	DB.Preload("Pets").Find(&user2, "id = ?", user.ID)

		Result  string
		Vars    []interface{}
	}{
		{
			[]clause.Interface{clause.Update{}},
			"UPDATE `users`", nil,
		},
		{
			[]clause.Interface{clause.Update{Modifier: "LOW_PRIORITY"}},
			"UPDATE LOW_PRIORITY `users`", nil,
		},
		{
			[]clause.Interface{clause.Update{Table: clause.Table{Name: "products"}, Modifier: "LOW_PRIORITY"}},
			"UPDATE LOW_PRIORITY `products`", nil,
		},
	}

	for idx, result := range results {

//// tab | 🐍 3️⃣.1️⃣0️⃣ & 🔛

```Python hl_lines="32"
{!> ../../docs_src/body_updates/tutorial002_py310.py!}
```

////

### ⚙️ Pydantic `update` 🔢

🔜, 👆 💪 ✍ 📁 ♻ 🏷 ⚙️ `.copy()`, & 🚶‍♀️ `update` 🔢 ⏮️ `dict` ⚗ 💽 ℹ.

💖 `stored_item_model.copy(update=update_data)`:

//// tab | 🐍 3️⃣.6️⃣ & 🔛

```Python hl_lines="35"
{!> ../../docs_src/body_updates/tutorial002.py!}
```

////

```Python hl_lines="34"
{!> ../../docs_src/body_updates/tutorial002.py!}
```

////

### Использование параметра `update` в Pydantic

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

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

//// tab | Python 3.10+

```Python hl_lines="33"

    schedule:
      interval: monthly
    ignore:
      - dependency-name: "*"
        update-types: ["version-update:semver-major", "version-update:semver-minor"]

  - package-ecosystem: docker
    directory: /ci/official/containers/linux_arm64
    schedule:
      interval: monthly
    ignore:
      - dependency-name: "*"
        update-types: ["version-update:semver-major", "version-update:semver-minor"]
    

	assert.NoError(t, err)

	// wait for an update events
	// total 3 update at before unlabel point: 1. init ns reconcile 2. ns label reconcile 3. pod annotation update
	mt.Assert(EventTotals.Name(), map[string]string{"type": "update"}, monitortest.AtLeast(4))

	waitForMockCalls()

	assertPodNotAnnotated(t, client, pod)

	// patch a test label to emulate a POD update event

	user := *GetUser("update-belongs-to", Config{})

	if err := DB.Create(&user).Error; err != nil {
		t.Fatalf("errors happened when create: %v", err)
	}

	user.Company = Company{Name: "company-belongs-to-association"}
	user.Manager = &User{Name: "manager-belongs-to-association"}
	if err := DB.Save(&user).Error; err != nil {
		t.Fatalf("errors happened when update: %v", err)
	}

	var user2 User

    @Override
    public Hasher putInt(int i) {
      update(4, i);
      return this;
    }

    @CanIgnoreReturnValue
    @Override
    public Hasher putLong(long l) {
      update(4, (int) l);
      update(4, l >>> 32);
      return this;
    }

    @CanIgnoreReturnValue
    @Override
    public Hasher putChar(char c) {
      update(2, c);
      return this;
    }

然后再用它生成一个只含已设置（在请求中所发送）数据，且省略了默认值的 `dict`：

```Python hl_lines="34"
{!../../docs_src/body_updates/tutorial002.py!}
```

### 使用 Pydantic 的 `update` 参数

接下来，用 `.copy()` 为已有模型创建调用 `update` 参数的副本，该参数为包含更新数据的 `dict`。

例如，`stored_item_model.copy(update=update_data)`：

```Python hl_lines="35"
{!../../docs_src/body_updates/tutorial002.py!}
```

### 更新部分数据小结

简而言之，更新部分数据应：