If `auto_error` is set to `False`, when the HTTP Authorization header
                is not available, instead of erroring out, the dependency result will
                be `None`.

                This is useful when you want to have optional authentication.

                It is also useful when you want to have authentication that can be

                      help='Path to a build log.')
  parser.add_argument('--xml-out-path',
                      required=False,
                      help='Path to which to output '
                           'the JUnit-based XML with ResultStore links.')
  parser.add_argument('--print',
                      action='store_true', dest='print', default=False,
                      help='Whether to print out a short summary with the '

                client an error.

                If `auto_error` is set to `False`, when the HTTP Basic authentication
                is not available, instead of erroring out, the dependency result will
                be `None`.

                This is useful when you want to have optional authentication.

                It is also useful when you want to have authentication that can be

        {
            "detail": [
                {
                    "type": "int_parsing",
                    "loc": ["query", "query"],
                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "42.5",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {

        {
            "detail": [
                {
                    "type": "float_parsing",
                    "loc": ["body", "price"],
                    "msg": "Input should be a valid number, unable to parse string as a number",
                    "input": "twenty",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {

        {
            "detail": [
                {
                    "type": "float_parsing",
                    "loc": ["body", "price"],
                    "msg": "Input should be a valid number, unable to parse string as a number",
                    "input": "twenty",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {

                    "proper OpenAPI use another model with the correct field names"
                )
            }
        )
    else:

        class Config:
            schema_extra = {
                "description": (
                    "response_model_by_alias=False is basically a quick hack, to support "

                lang = label[5:]
                lang_to_discussion_map[lang] = discussion
    logging.debug(f"Using translations map: {lang_to_discussion_map}")

    # Messages to create or check
    new_translation_message = f"Good news everyone! 😉 There's a new translation PR to be reviewed: #{pr.number} by @{pr.user.login}. 🎉 This requires 2 approvals from native speakers to be merged. 🤓"

    user_data = response.json()
    item_to_check = [it for it in user_data["items"] if it["id"] == item_data["id"]][0]
    assert item_to_check["title"] == item["title"]
    assert item_to_check["description"] == item["description"]
    response = client.get("/users/1")
    assert response.status_code == 200, response.text
    user_data = response.json()

    response = client.get("/users/1")
    assert response.status_code == 200, response.text
    user_data = response.json()
    item_to_check = [it for it in user_data["items"] if it["id"] == item_data["id"]][0]
    assert item_to_check["title"] == item["title"]
    assert item_to_check["description"] == item["description"]


# TODO: pv2 add Pydantic v2 version
@needs_pydanticv1
def test_read_items(client):