}
  }

  final class KeyIterator extends HashIterator<K> {

    @Override
    public K next() {
      return nextEntry().getKey();
    }
  }

  final class ValueIterator extends HashIterator<V> {

    @Override
    public V next() {
      return nextEntry().getValue();
    }
  }

  /**

//// tab | Linux, macOS, Windows Bash

<div class="termy">

```console
// Podrías crear una env var MY_NAME con
$ export MY_NAME="Wade Wilson"

// Luego podrías usarla con otros programas, como
$ echo "Hello $MY_NAME"

Hello Wade Wilson
```

</div>

////

//// tab | Windows PowerShell

<div class="termy">

```console
// Crea una env var MY_NAME

# `UploadFile` class

You can define *path operation function* parameters to be of the type `UploadFile` to receive files from the request.

You can import it directly from `fastapi`:

```python
from fastapi import UploadFile
```

::: fastapi.UploadFile
    options:
        members:
            - file
            - filename
            - size
            - headers
            - content_type
            - read

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item = Body(embed=True)):
    results = {"item_id": item_id, "item": item}

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: list[str] = []


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):
    results = {"item_id": item_id, "item": item}

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: set[str] = set()


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):
    results = {"item_id": item_id, "item": item}

from typing import Annotated

from fastapi import FastAPI
from fastapi.temp_pydantic_v1_params import Body
from pydantic.v1 import BaseModel


class Item(BaseModel):
    name: str
    description: str | None = None
    size: float


app = FastAPI()


@app.post("/items/")
async def create_item(item: Annotated[Item, Body(embed=True)]) -> Item:

        assertThat(response.protocol).isEqualTo(HTTP_1_1)
      }
    }
  }
}

sealed class SocketMode

object Channel : SocketMode() {
  override fun toString(): String = "Channel"
}

object Standard : SocketMode() {
  override fun toString(): String = "Standard"
}

data class TlsInstance(
  val provider: Provider,
  val protocol: Protocol,
  val tlsVersion: TlsVersion,

        Field field = DefaultArtifactDescriptorReader.class.getDeclaredField("artifactResolver");
        field.setAccessible(true);
        field.set(pomReader, resolver);

        projectBuilder = getContainer().lookup(ProjectBuilder.class, "classpath");
    }

    @Test
    void testProjectClasspath() throws Exception {

    }
  }

  public void testPriority_tooLow() {
    assertThrows(
        IllegalArgumentException.class, () -> builder.setPriority(Thread.MIN_PRIORITY - 1));
  }

  public void testPriority_tooHigh() {
    assertThrows(
        IllegalArgumentException.class, () -> builder.setPriority(Thread.MAX_PRIORITY + 1));
  }

  public void testUncaughtExceptionHandler_custom() {
    assertEquals(