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",),

from unittest.mock import patch

from docs_src.python_types.tutorial008_py39 import process_items


def test_process_items():
    with patch("builtins.print") as mock_print:
        process_items({"a": 1.0, "b": 2.5})

    assert mock_print.call_count == 4
    call_args = [arg.args for arg in mock_print.call_args_list]
    assert call_args == [
        ("a",),
        (1.0,),
        ("b",),
        (2.5,),

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__")

    ],
)
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

@pytest.mark.parametrize(
    "module_name",
    [
        pytest.param("tutorial011_py39"),
        pytest.param("tutorial011_py310", marks=needs_py310),
    ],
)
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__")

    assert mock_print.call_count == 2
    call_args = [str(arg.args[0]) for arg in mock_print.call_args_list]

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


def test_say_hi(module: ModuleType):
    with patch("builtins.print") as mock_print:
        module.say_hi("FastAPI")
        module.say_hi()

    assert mock_print.call_count == 2
    call_args = [arg.args for arg in mock_print.call_args_list]
    assert call_args == [

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


def test_say_hi(module: ModuleType):
    with patch("builtins.print") as mock_print:
        module.say_hi("FastAPI")

    mock_print.assert_called_once_with("Hey FastAPI!")

    with pytest.raises(
        TypeError,

val javaParserVersion = "3.18.0"
// Note: this currently still contains 3/4 logic as we will temporarily have Groovy 3 for the build itself until we move to a Gradle built with Groovy 4
// It can be removed or changed to 4/5 logic (if necessary) at that point.
val groovyVersion = GroovySystem.getVersion()
val isGroovy4 = VersionNumber.parse(groovyVersion).major >= 4

# Using Dataclasses { #using-dataclasses }

FastAPI is built on top of **Pydantic**, and I have been showing you how to use Pydantic models to declare requests and responses.

But FastAPI also supports using <a href="https://docs.python.org/3/library/dataclasses.html" class="external-link" target="_blank">`dataclasses`</a> the same way:

{* ../../docs_src/dataclasses_/tutorial001_py310.py hl[1,6:11,18:19] *}

### Migration

Check out the [Pydantic migration guide](https://docs.pydantic.dev/2.0/migration/).

For the things that need changes in your Pydantic models, the Pydantic team built [`bump-pydantic`](https://github.com/pydantic/bump-pydantic).