}
		cm, err := c.Times(false)
		if err != nil {
			m.Errors = append(m.Errors, fmt.Sprintf("%s: %v (cpuTimes)", byHostName, err.Error()))
		} else {
			// not collecting per-cpu stats, so there will be only one element
			if len(cm) == 1 {
				m.Aggregated.CPU.TimesStat = &cm[0]
			} else {
				m.Errors = append(m.Errors, fmt.Sprintf("%s: Expected one CPU stat, got %d", byHostName, len(cm)))
			}
		}

type ErrUnknownRegion struct {
	Region string
}

func (err ErrUnknownRegion) Error() string {
	return fmt.Sprintf("unknown region '%v'", err.Region)
}

// ErrARNNotFound - ARN not found error.
type ErrARNNotFound struct {
	ARN ARN
}

func (err ErrARNNotFound) Error() string {
	return fmt.Sprintf("ARN '%v' not found", err.ARN)
}

// ErrInvalidARN - invalid ARN error.
type ErrInvalidARN struct {
	ARN string

import pytest


@pytest.mark.parametrize(
    "module_name",
    [
        "tutorial001_py39",
        "tutorial002_py39",
    ],
)
def test_run_module(module_name: str):
    with patch("builtins.print") as mock_print:
        runpy.run_module(f"docs_src.python_types.{module_name}", run_name="__main__")

	var err error
	if DB, err = OpenTestConnection(&gorm.Config{}); err != nil {
		log.Printf("failed to connect database, got error %v", err)
		os.Exit(1)
	} else {
		sqlDB, err := DB.DB()
		if err != nil {
			log.Printf("failed to connect database, got error %v", err)
			os.Exit(1)
		}

		err = sqlDB.Ping()
		if err != nil {
			log.Printf("failed to ping sqlDB, got error %v", err)
			os.Exit(1)
		}

		RunMigrations()

	msgs := []string{}
	for _, d := range keys {
		name := c.state.Peers[d].Name
		err := errMap[d]
		if err == nil {
			msgs = append(msgs, fmt.Sprintf("'%s' on site %s (%s): succeeded", actionName, name, d))
			success++
		} else {
			msgs = append(msgs, fmt.Sprintf("'%s' on site %s (%s): failed(%v)", actionName, name, d, err))
		}
	}
	if success == len(keys) {
		return nil
	}

from unittest.mock import patch

from docs_src.python_types.tutorial006_py39 import process_items


def test_process_items():
    with patch("builtins.print") as mock_print:
        process_items(["item_a", "item_b", "item_c"])

    assert mock_print.call_count == 3
    call_args = [arg.args for arg in mock_print.call_args_list]
    assert call_args == [
        ("item_a",),
        ("item_b",),
        ("item_c",),

else
  "$python" -m pip install *.whl $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS
fi
if [[ "$TFCI_WHL_IMPORT_TEST_ENABLE" == "1" ]]; then
  "$python" -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)'
  "$python" -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)'
fi
# Import tf nightly wheel built with numpy2 from PyPI in numpy1 env for testing.

	// color characters, the result is incorrect.
	line1Length := len(fmt.Sprintf(msgLine1Fmt, newerThan))
	line2Length := len(fmt.Sprintf(msgLine2Fmt, updateString))

	// Populate lines with color coding.
	line1InColor := fmt.Sprintf(msgLine1Fmt, color.YellowBold(newerThan))
	line2InColor := fmt.Sprintf(msgLine2Fmt, color.CyanBold(updateString))

	// calculate the rectangular box size.

  - type: dropdown
    id: source
    attributes:
      label: Source
      description: TensorFlow installed from

)
def get_module(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.python_types.{request.param}")
    return mod


def test_process_items(module: ModuleType):
    with patch("builtins.print") as mock_print:
        module.process_item("a")

    assert mock_print.call_count == 1