Sehen wir uns an, was jede dieser Optionen bedeutet:

* `main:app`: Das ist die gleiche Syntax, die auch von Uvicorn verwendet wird. `main` bedeutet das Python-Modul mit dem Namen `main`, also eine Datei `main.py`. Und `app` ist der Name der Variable, welche die **FastAPI**-Anwendung ist.
    * Stellen Sie sich einfach vor, dass `main:app` einer Python-`import`-Anweisung wie der folgenden entspricht:

        ```Python
        from main import app
        ```

</li>

</ul>

<p>
The value of <code>GOMIPS</code> environment variable (<code>hardfloat</code> or
<code>softfloat</code>) is made available to assembly code by predefining either
<code>GOMIPS_hardfloat</code> or <code>GOMIPS_softfloat</code>.
</p>

<p>
The value of <code>GOMIPS64</code> environment variable (<code>hardfloat</code> or

///

### Step 2: create a `FastAPI` "instance" { #step-2-create-a-fastapi-instance }

{* ../../docs_src/first_steps/tutorial001.py hl[3] *}

Here the `app` variable will be an "instance" of the class `FastAPI`.

This will be the main point of interaction to create all your API.

### Step 3: create a *path operation* { #step-3-create-a-path-operation }

#### Path { #path }

Escribes Python estándar con tipos:

```Python
from datetime import date

from pydantic import BaseModel

# Declara una variable como un str
# y obtiene 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

Imagine that you want the parameter to be `item-query`.

Like in:

```
http://127.0.0.1:8000/items/?item-query=foobaritems
```

But `item-query` is not a valid Python variable name.

The closest would be `item_query`.

But you still need it to be exactly `item-query`...

Then you can declare an `alias`, and that alias is what will be used to find the parameter value:

Bạn viết chuẩn Python với kiểu dữ liệu như sau:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


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

  }

  public void testWildcardSubtypes() throws Exception {
    new WildcardSubtypingTests().testAllDeclarations();
  }

  /**
   * This test reproduces the bug in canonicalizeWildcardType() when the type variable is
   * recursively bounded.
   */
  public void testRecursiveWildcardSubtypeBug() throws Exception {
    Exception e =
        assertThrows(

Sie schreiben Standard-Python mit Typen:

```Python
from typing import List, Dict
from datetime import date

from pydantic import BaseModel

# Deklarieren Sie eine Variable als ein `str`
# und bekommen Sie Editor-Unterstütung innerhalb der Funktion
def main(user_id: str):
    return user_id


# Ein Pydantic-Modell
class User(BaseModel):
    id: int
    name: str

You write standard Python with types:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


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

  }

  public void testWildcardSubtypes() throws Exception {
    new WildcardSubtypingTests().testAllDeclarations();
  }

  /**
   * This test reproduces the bug in canonicalizeWildcardType() when the type variable is
   * recursively bounded.
   */
  public void testRecursiveWildcardSubtypeBug() throws Exception {
    Exception e =
        assertThrows(