"type": "string",
                            "format": "date-time",
                        },
                        "end_datetime": {
                            "title": "End Datetime",
                            "type": "string",
                            "format": "date-time",
                        },
                        "repeat_at": IsDict(
                            {

#!/usr/bin/env bash

set -e
set -x

# Check README.md is up to date
python ./scripts/docs.py verify-docs

                            "type": "string",
                            "format": "date-time",
                        },
                        "end_datetime": {
                            "title": "End Datetime",
                            "type": "string",
                            "format": "date-time",
                        },
                        "repeat_at": IsDict(
                            {

                            "type": "string",
                            "format": "date-time",
                        },
                        "end_datetime": {
                            "title": "End Datetime",
                            "type": "string",
                            "format": "date-time",
                        },
                        "repeat_at": IsDict(
                            {

    * 📨 & 📨 🔜 🎨 `str`.
* `datetime.datetime`:
    * 🐍 `datetime.datetime`.
    * 📨 & 📨 🔜 🎨 `str` 💾 8️⃣6️⃣0️⃣1️⃣ 📁, 💖: `2008-09-15T15:53:00+05:00`.
* `datetime.date`:
    * 🐍 `datetime.date`.
    * 📨 & 📨 🔜 🎨 `str` 💾 8️⃣6️⃣0️⃣1️⃣ 📁, 💖: `2008-09-15`.
* `datetime.time`:
    * 🐍 `datetime.time`.
    * 📨 & 📨 🔜 🎨 `str` 💾 8️⃣6️⃣0️⃣1️⃣ 📁, 💖: `14:23:55.003`.
* `datetime.timedelta`:

from typing_extensions import Annotated, Doc

from ._compat import PYDANTIC_V2, UndefinedType, Url, _model_dump


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


# Taken from Pydantic v1 as is
# TODO: pv2 should this return strings instead?
def decimal_encoder(dec_value: Decimal) -> Union[int, float]:
    """

* `datetime.datetime`:
    * A Python `datetime.datetime`.
    * In requests and responses will be represented as a `str` in ISO 8601 format, like: `2008-09-15T15:53:00+05:00`.
* `datetime.date`:
    * Python `datetime.date`.
    * In requests and responses will be represented as a `str` in ISO 8601 format, like: `2008-09-15`.
* `datetime.time`:
    * A Python `datetime.time`.

```Python
from datetime import date

from pydantic import BaseModel

# Объявляем параметр user_id с типом `str`
# и получаем поддержку редактора внутри функции
def main(user_id: str):
    return user_id


# Модель Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Это можно использовать так:

```Python

Wystarczy, że napiszesz standardowe deklaracje typów Pythona:

```Python
from datetime import date

from pydantic import BaseModel

# Zadeklaruj parametr jako str
# i uzyskaj wsparcie edytora wewnątrz funkcji
def main(user_id: str):
    return user_id


# Model Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

A one będą mogły zostać później użyte w następujący sposób:

```Python

Escribes Python estándar con tipos así:

```Python
from datetime import date

from pydantic import BaseModel

# Declaras la variable como un str
# y obtienes soporte del editor dentro de la función
def main(user_id: str):
    return user_id


# Un modelo de Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Este puede ser usado como:

```Python