pkg database/sql, method (*Conn) PrepareContext(context.Context, string) (*Stmt, error)
pkg database/sql, method (*Conn) QueryContext(context.Context, string, ...interface{}) (*Rows, error)
pkg database/sql, method (*Conn) QueryRowContext(context.Context, string, ...interface{}) *Row
pkg database/sql, method (*DB) Conn(context.Context) (*Conn, error)
pkg database/sql, type Conn struct

	values := map[string]interface{}{"Active": true, "age": 5}
	if res := DB.Model(user).Updates(values); res.Error != nil {
		t.Errorf("errors happened when update: %v", res.Error)
	} else if res.RowsAffected != 1 {
		t.Errorf("rows affected should be 1, but got : %v", res.RowsAffected)
	} else if user.Age != 5 {
		t.Errorf("Age should equals to 5, but got %v", user.Age)
	} else if user.Active != true {

// e.prop.isAggregation is true), we call evalNode on all child nodes,
// check for errors, but do not perform any combining of the results
// of child nodes. The final result row is returned after all rows are
// processed, and the `getAggregate` function is called.

func (e *AliasedExpression) evalNode(r Record, tableAlias string) (*Value, error) {
	return e.Expression.evalNode(r, tableAlias)
}

/// tip

You could use any other SQL or NoSQL database library you want (in some cases called <abbr title="Object Relational Mapper: a fancy term for a library where some classes represent SQL tables and instances represent rows in those tables">"ORMs"</abbr>), FastAPI doesn't force you to use anything. 😎

///

   * changes the contents of the transposed table and vice versa.
   *
   * <p>The returned table supports update operations as long as the input table supports the
   * analogous operation with swapped rows and columns. For example, in a {@link HashBasedTable}
   * instance, {@code rowKeySet().iterator()} supports {@code remove()} but {@code
   * columnKeySet().iterator()} doesn't. With a transposed {@link HashBasedTable}, it's the other

Example:

    Source (English):

        «««
        <abbr title="Object Relational Mapper: a fancy term for a library where some classes represent SQL tables and instances represent rows in those tables">ORM</abbr>
        »»»

    Result (German):

        «««

   *     queryFuture.transformAsync((closer, result) -> result.getRowsClosingFuture(), executor);
   *
   * // Result.writeRowsToOutputStreamFuture() returns a ListenableFuture that resolves to the
   * // number of written rows. openOutputFile() returns a FileOutputStream (which implements
   * // AutoCloseable).
   * ClosingFuture<Integer> rowsFuture2 =
   *     queryFuture.transformAsync(
   *         (closer, result) -> {

pkg database/sql, method (*Row) Scan(...interface{}) error
pkg database/sql, method (*Rows) Close() error
pkg database/sql, method (*Rows) Columns() ([]string, error)
pkg database/sql, method (*Rows) Err() error
pkg database/sql, method (*Rows) Next() bool
pkg database/sql, method (*Rows) Scan(...interface{}) error
pkg database/sql, method (*Stmt) Close() error

</pre>

<p>
If there is a label, it must be that of an enclosing
"for" statement, and that is the one whose execution
advances.
</p>

<pre>
RowLoop:
	for y, row := range rows {
		for x, data := range row {
			if data == endOfRow {
				continue RowLoop
			}
			row[x] = data + bias(x, y)
		}
	}
</pre>

<h3 id="Goto_statements">Goto statements</h3>

    *   Added L2 unit normalization layer `tf.keras.layers.UnitNormalization`.
    *   Added `tf.keras.regularizers.OrthogonalRegularizer`, a new regularizer
        that encourages orthogonality between the rows (or columns) or a weight
        matrix.
    *   Added `tf.keras.layers.RandomBrightness` layer for image preprocessing.
    *   Added APIs for switching between interactive logging and absl logging.