db: c.db,
		ops: append(c.ops, func(db *DB) *DB {
			var r T
			return db.Model(r).Raw(sql, values...)
		}),
	}}
}

func (c *g[T]) Exec(ctx context.Context, sql string, values ...interface{}) error {
	var r T
	return c.apply(ctx).Model(r).Exec(sql, values...).Error
}

type createG[T any] struct {
	chainG[T]
}

func (c createG[T]) Table(name string, args ...interface{}) CreateInterface[T] {

		t.Errorf("failed to update with named arg")
	}

	AssertEqual(t, result4, namedUser)

	if err := DB.Exec("UPDATE named_users SET name1 = @name, name2 = @name2, name3 = @name", sql.Named("name", "jinzhu-new"), sql.Named("name2", "jinzhu-new2")).Error; err != nil {
		t.Errorf("failed to update with named arg")
	}

          fi
          docker container prune -f
      - name: Clean repository
        shell: bash
        run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true
      - name: Checkout repository
        uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
      - name: Build binary and run python tests
        shell: bash
        run: |

	name := "GenericsExec"
	if err := gorm.G[User](DB).Exec(ctx, "INSERT INTO users(name) VALUES(?)", name); err != nil {
		t.Fatalf("Exec insert failed: %v", err)
	}

	name2 := "GenericsExec2"
	if err := gorm.G[User](DB).Exec(ctx, "INSERT INTO ?(name) VALUES(?)", clause.Table{Name: clause.CurrentTable}, name2); err != nil {
		t.Fatalf("Exec insert failed: %v", err)
	}

		t.Errorf("Raw with Rows should find one record with name 3")
	}

	DB.Exec("update users set name=? where name in (?)", "jinzhu-raw", []string{user1.Name, user2.Name, user3.Name})
	if DB.Where("name in (?)", []string{user1.Name, user2.Name, user3.Name}).First(&User{}).Error != gorm.ErrRecordNotFound {
		t.Error("Raw sql to update records")
	}

	DB.Exec("update users set age=? where name = ?", gorm.Expr("age * ? + ?", 2, 10), "jinzhu-raw")

      return sync.wasInterrupted();
    }

    /**
     * {@inheritDoc}
     *
     * @since 10.0
     */
    @Override
    public void addListener(Runnable listener, Executor exec) {
      executionList.add(listener, exec);
    }

    /**
     * Subclasses should invoke this method to set the result of the computation to {@code value}.

pkg net/url, method (*URL) JoinPath(...string) *URL #47005
pkg net/url, type URL struct, OmitHost bool #46059
pkg os/exec, method (*Cmd) Environ() []string #50599
pkg os/exec, type Cmd struct, Err error #43724
pkg os/exec, var ErrDot error #43724
pkg regexp/syntax, const ErrNestingDepth = "expression nests too deeply" #51684
pkg regexp/syntax, const ErrNestingDepth ErrorCode #51684

                    </execution>
                </executions>
            </plugin>
            <plugin>
                <groupId>org.codehaus.mojo</groupId>
                <artifactId>exec-maven-plugin</artifactId>
                <version>3.0.0</version>
                <executions>
                    <execution>
                        <id>update-test-buckets</id>
                        <goals>

#   https://github.com/NVIDIA/nvidia-container-toolkit
#
#   Note: if you interrupt a bazel command on docker (ctrl-c), you
#   will need to run `docker exec tf pkill bazel` to quit bazel.
#
#   Note: new files created from the container are owned by "root".
#   You can run e.g. `docker exec tf chown -R $(id -u):$(id -g) build_output`
#   to transfer ownership to your user.
#

tfrun "$TFCI_FIND_BIN" ./bazel-bin/tensorflow/tools/pip_package -iname "*.whl" -exec cp {} $TFCI_OUTPUT_DIR \;
tfrun mkdir -p ./dist
tfrun cp $TFCI_OUTPUT_DIR/*.whl ./dist
tfrun bash ./ci/official/utilities/rename_and_verify_wheels.sh

if [[ -n "$TFCI_BUILD_PIP_PACKAGE_ADDITIONAL_WHEEL_NAMES" ]]; then