min_length: Annotated[
        Optional[int],
        Doc(
            """
            Minimum length for strings.
            """
        ),
    ] = None,
    max_length: Annotated[
        Optional[int],
        Doc(
            """
            Maximum length for strings.
            """
        ),
    ] = None,
    pattern: Annotated[
        Optional[str],
        Doc(

        ],
    )
    fun branchesWithVcsTriggerEnabled(
        branchName: String,
        expectedNightlyPromotionTriggerHour: Int?,
    ) {
        val vsb = VersionedSettingsBranch(branchName)
        assertEquals(expectedNightlyPromotionTriggerHour, vsb.determineNightlyPromotionTriggerHour())
    }

    @ParameterizedTest
    @ValueSource(
        strings = [
            "experimental",
            "placeholder-1",

                            "items": {
                                "anyOf": [{"type": "string"}, {"type": "integer"}]
                            },
                        },
                        "msg": {"title": "Message", "type": "string"},
                        "type": {"title": "Error Type", "type": "string"},
                    },
                },
            }
        },

                            "type": "string",
                        },
                        "price": {
                            "title": "Price",
                            "type": "number",
                        },
                        "tags": {
                            "default": [],
                            "items": {
                                "type": "string",
                            },

)


# Taken from Pydantic v1 as is
def isoformat(o: Union[datetime.date, datetime.time]) -> str:
    return o.isoformat()


# Adapted from Pydantic v1
# TODO: pv2 should this return strings instead?
def decimal_encoder(dec_value: Decimal) -> Union[int, float]:
    """
    Encodes a Decimal as int if there's no exponent, otherwise float

    This is useful when we use ConstrainedDecimal to represent Numeric(x,0)

---

„_Ich bin hellauf begeistert von **FastAPI**. Es macht so viel Spaß!_“

Examples:

    Source (English):

        «««
        <abbr title="Internet of Things">IoT</abbr>
        <abbr title="Central Processing Unit">CPU</abbr>
        <abbr title="too long; didn't read"><strong>TL;DR:</strong></abbr>
        »»»

    Result (German):

        «««
        <abbr title="Internet of Things – Internet der Dinge">IoT</abbr>

    * <a href="https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/" target="_blank"><code>pydantic-extra-types</code></a> - for extra types to be used with Pydantic.

                            "items": {
                                "anyOf": [{"type": "string"}, {"type": "integer"}]
                            },
                        },
                        "msg": {"title": "Message", "type": "string"},
                        "type": {"title": "Error Type", "type": "string"},
                    },
                },
                "HTTPValidationError": {

        fun addedWithInvalidSince(thing: String, desc: String): List<String> =
            listOf(
                "$thing ${describe(thing, desc)}: Is not annotated with @Incubating.",
                "$thing ${describe(thing, desc)}: Has invalid @since: it should be 2.0, but currently is 1.0."
            )

        fun removed(thing: String, desc: String): Pair<String, List<String>> =