Ele foi escolhido sobre outras alternativas anteriores por se adequar melhor em muitos casos.

Muitos desenvolvedores e times já dependem do **FastAPI** para seus projetos (incluindo eu e meu time).

Mas ainda há muitas melhorias e funcionalidades a vir.

**FastAPI** tem um grande futuro à frente.

## Multiple path and query parameters { #multiple-path-and-query-parameters }

You can declare multiple path parameters and query parameters at the same time, **FastAPI** knows which is which.

And you don't have to declare them in any specific order.

They will be detected by name:

{* ../../docs_src/query_params/tutorial004_py310.py hl[6,8] *}

* **Intuitive**: Great editor support. <abbr title="also known as auto-complete, autocompletion, IntelliSense">Completion</abbr> everywhere. Less time debugging.
* **Easy**: Designed to be easy to use and learn. Less time reading docs.
* **Short**: Minimize code duplication. Multiple features from each parameter declaration. Fewer bugs.
* **Robust**: Get production-ready code. With automatic interactive documentation.

pkg text/template, method (Template) Copy() *parse.Tree
pkg text/template/parse, method (*Tree) Copy() *Tree
pkg time, method (*Time) UnmarshalBinary([]uint8) error
pkg time, method (*Time) UnmarshalText([]uint8) error
pkg time, method (Time) MarshalBinary() ([]uint8, error)
pkg time, method (Time) MarshalText() ([]uint8, error)

OkHttp 4.x upgrades our implementation language from Java to Kotlin and keeps everything else the
same. We’ve chosen Kotlin because it gives us powerful new capabilities while integrating closely
with Java.

We spent a lot of time and energy on retaining strict compatibility with OkHttp 3.x. We’re even
keeping the package name the same: `okhttp3`!

There are three kinds of compatibility we’re tracking:

import org.jspecify.annotations.Nullable;

/**
 * Executor ensuring that all Runnables submitted are executed in order, using the provided
 * Executor, and sequentially such that no two will ever be running at the same time.
 *
 * <p>Tasks submitted to {@link #execute(Runnable)} are executed in FIFO order.
 *
 * <p>The execution of tasks is done by one thread as long as there are tasks left in the queue.

        Smb2LeaseKey key = leaseManager.requestLease(path, requestedState);
        assertNotNull(leaseManager.getLease(key));

        // Wait a bit and then cleanup with a very short expiration time
        Thread.sleep(10);
        int cleaned = leaseManager.cleanupExpiredLeases(1); // 1ms expiration

        assertEquals(1, cleaned);
        assertNull(leaseManager.getLease(key));
    }

    @Test

            // Submit a write that will throw inside the writer thread
            w.write(payload, payload.length, out);

            // Give the writer thread time to process and set exception
            w.wait(100);
        }

        // Wait a bit more to ensure exception is captured
        Thread.sleep(100);

The same models are shared among requests, so, it's not one model per request, or one per user or something similar.

Let's imagine that loading the model can **take quite some time**, because it has to read a lot of **data from disk**. So you don't want to do it for every request.

        },
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "type": "query"
      }
    ]
  },
  "time": {
    "from": "now-1h",
    "to": "now"
  },
  "timepicker": {
    "refresh_intervals": [
      "10s",
      "30s",
      "1m",
      "5m",
      "15m",
      "30m",
      "1h",