#
# To prepare an update for a new Go release,
# consult https://www.iana.org/time-zones for the latest versions,
# update CODE and DATA below, and then run
#
#	./update.bash -commit
#
# That will prepare the files and create the commit.
#
# To review such a commit (as the reviewer), use:
#
#	git codereview change NNNNNN   # CL number
#	cd lib/time
#	./update.bash
#

	users := []*User{
		GetUser("update_column_01", Config{}),
		GetUser("update_column_02", Config{}),
	}

	DB.Create(&users)
	lastUpdatedAt := users[1].UpdatedAt

	// update with map
	DB.Model(users[1]).UpdateColumns(map[string]interface{}{"name": "update_column_02_newname", "age": 100})
	if users[1].Name != "update_column_02_newname" || users[1].Age != 100 {
		t.Errorf("user 2 should be updated with update column")
	}

				if i, ok := value.(BeforeUpdateInterface); ok {
					called = true
					db.AddError(i.BeforeUpdate(tx))
				}
			}

			return called
		})
	}
}

// Update update hook
func Update(config *Config) func(db *gorm.DB) {
	supportReturning := utils.Contains(config.UpdateClauses, "RETURNING")

	return func(db *gorm.DB) {
		if db.Error != nil {
			return
		}

!!! info
    In Pydantic v1 the method was called `.copy()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_copy()`.

    The examples here use `.copy()` for compatibility with Pydantic v1, but you should use `.model_copy()` instead if you can use Pydantic v2.

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

package clause

type Update struct {
	Modifier string
	Table    Table
}

// Name update clause name
func (update Update) Name() string {
	return "UPDATE"
}

// Build build update clause
func (update Update) Build(builder Builder) {
	if update.Modifier != "" {
		builder.WriteString(update.Modifier)
		builder.WriteByte(' ')
	}

	if update.Table.Name == "" {
		builder.WriteQuoted(currentTable)
	} else {

cd "$(dirname "${BASH_SOURCE[0]}")"
cd ../requirements_updater || exit 1

# Create the requirements_wheel_test.in file
echo "tensorflow @ file://localhost/$TENSORFLOW_WHEEL_PATH" > requirements_wheel_test.in

# Create the requirements_lock file
REQUIREMENTS_LOCK_FILE="requirements_lock_${PYTHON_VERSION}.txt"
touch "$REQUIREMENTS_LOCK_FILE"

### Update the requirements_lock file

Wie in `stored_item_model.model_copy(update=update_data)`:

=== "Python 3.10+"

    ```Python hl_lines="33"
    {!> ../../../docs_src/body_updates/tutorial002_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="35"
    {!> ../../../docs_src/body_updates/tutorial002_py39.py!}
    ```

=== "Python 3.8+"

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

	// Check if we are in DCOS environment, return
	// deployment guide for update procedures.
	if IsDCOS() {
		return mesosDeploymentDoc
	}

	// Check if we are in kubernetes environment, return
	// deployment guide for update procedures.
	if IsKubernetes() {
		return kubernetesDeploymentDoc
	}

	// Check if we are docker environment, return docker update command
	if IsDocker() {
		// Construct release tag name.

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

=== "Python 3.10+"

    ```Python hl_lines="33"
    {!> ../../../docs_src/body_updates/tutorial002_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="35"
    {!> ../../../docs_src/body_updates/tutorial002_py39.py!}
    ```

=== "Python 3.6+"

# This Workflow updates tensorflow/tools/toolchains/remote_config/configs.bzl
# to reference the most recent versions of the SIG Build Docker images.
name: Update RBE Configs
on:
  workflow_dispatch:

permissions:
  contents: read

jobs:
  rbe:
    name: Update RBE Configs
    runs-on: ubuntu-latest