Über ein leistungsstarkes Dependency Injection System zu verfügen. Eine Möglichkeit zu finden, Codeverdoppelung zu minimieren.

///

### <a href="https://sanic.readthedocs.io/en/latest/" class="external-link" target="_blank">Sanic</a>

Es war eines der ersten extrem schnellen Python-Frameworks, welches auf `asyncio` basierte. Es wurde so gestaltet, dass es Flask sehr ähnlich ist.

/// note | Technische Details

		once.Do(func() {
			e, err := reedsolomon.New(dataBlocks, parityBlocks, reedsolomon.WithAutoGoroutines(int(e.ShardSize())))
			if err != nil {
				// Error conditions should be checked above.
				panic(err)
			}
			enc = e
		})
		return enc
	}
	return
}

// EncodeData encodes the given data and returns the erasure-coded data.
// It returns an error if the erasure coding failed.

		}
		_, err := erasure.Encode(context.Background(), bytes.NewReader(content), writers, buffer, erasure.dataBlocks+1)
		closeBitrotWriters(writers)
		if err != nil {
			panic(err)
		}
	}
}

func BenchmarkErasureEncodeQuick(b *testing.B) {
	const size = 12 * 1024 * 1024
	b.Run(" 00|00 ", func(b *testing.B) { benchmarkErasureEncode(2, 2, 0, 0, size, b) })

    int range = max - min;
    int s1 = min + (1 * range) / 4;
    int s2 = min + (2 * range) / 4;
    int s3 = min + (3 * range) / 4;
    char[] dst = new char[12];

    // Put surrogate pairs at odd indices so they can be split easily
    dst[0] = 'x';
    Character.toChars(min, dst, 1);
    Character.toChars(s1, dst, 3);
    Character.toChars(s2, dst, 5);
    Character.toChars(s3, dst, 7);

    int range = max - min;
    int s1 = min + (1 * range) / 4;
    int s2 = min + (2 * range) / 4;
    int s3 = min + (3 * range) / 4;
    char[] dst = new char[12];

    // Put surrogate pairs at odd indices so they can be split easily
    dst[0] = 'x';
    Character.toChars(min, dst, 1);
    Character.toChars(s1, dst, 3);
    Character.toChars(s2, dst, 5);
    Character.toChars(s3, dst, 7);

## HTTPX

Mesmo que a sua aplicação **FastAPI** utilize funções normais com `def` no lugar de `async def`, ela ainda é uma aplicação `async` por baixo dos panos.

E claro, ele suporta o mesmo:

* validação de dados
* serialização de dados
* documentação de dados, etc.

Isso funciona da mesma forma que com os modelos Pydantic. E na verdade é alcançado da mesma maneira por baixo dos panos, usando Pydantic.

/// info | Informação

Lembre-se de que dataclasses não podem fazer tudo o que os modelos Pydantic podem fazer.

Então, você ainda pode precisar usar modelos Pydantic.

When you declare other function parameters that are not part of the path parameters, they are automatically interpreted as "query" parameters.

{* ../../docs_src/query_params/tutorial001.py hl[9] *}

The query is the set of key-value pairs that go after the `?` in a URL, separated by `&` characters.

For example, in the URL:

```
http://127.0.0.1:8000/items/?skip=0&limit=10
```

...the query parameters are:

* `skip`: with a value of `0`

Use Python types to have great editor support.

Have a powerful dependency injection system. Find a way to minimize code repetition.

///

### <a href="https://sanic.readthedocs.io/en/latest/" class="external-link" target="_blank">Sanic</a> { #sanic }

It was one of the first extremely fast Python frameworks based on `asyncio`. It was made to be very similar to Flask.

/// note | Technical Details

  }

  @LazyInit @RetainedWith private transient @Nullable ImmutableSetMultimap<V, K> inverse;

  /**
   * {@inheritDoc}
   *
   * <p>Because an inverse of a set multimap cannot contain multiple pairs with the same key and
   * value, this method returns an {@code ImmutableSetMultimap} rather than the {@code
   * ImmutableMultimap} specified in the {@code ImmutableMultimap} class.
   */
  @Override