// Marshal metadata
	crc := hashDeterministicBytes(c.MetaSys)
	c.MetaSys = nil
	if bts, err := c.MarshalMsg(metaDataPoolGet()); err == nil {
		crc ^= xxhash.Sum64(bts)
		metaDataPoolPut(bts)
	}

	// Combine upper and lower part
	var tmp [4]byte
	binary.LittleEndian.PutUint32(tmp[:], uint32(crc^(crc>>32)))
	return tmp
}

// UsesDataDir returns true if this object version uses its data directory for

* [MySQL](https://hub.docker.com/_/mysql)
* [MongoDB](https://hub.docker.com/_/mongo)
* [Redis](https://hub.docker.com/_/redis), etc.

En utilisant une image de conteneur pré-construite, il est très facile de **combiner** et d'utiliser différents outils. Par exemple, pour essayer une nouvelle base de données. Dans la plupart des cas, vous pouvez utiliser les **images officielles** et simplement les configurer avec des variables d'environnement.

* [MySQL](https://hub.docker.com/_/mysql)
* [MongoDB](https://hub.docker.com/_/mongo)
* [Redis](https://hub.docker.com/_/redis), etc.

By using a pre-made container image it's very easy to **combine** and use different tools. For example, to try out a new database. In most cases, you can use the **official images**, and just configure them with environment variables.

    @Override
    public Builder<E> addAll(Iterator<? extends E> elements) {
      super.addAll(elements);
      return this;
    }

    @CanIgnoreReturnValue
    @Override
    Builder<E> combine(ImmutableSet.Builder<E> builder) {
      copyIfNecessary();
      Builder<E> other = (Builder<E>) builder;
      for (int i = 0; i < other.n; i++) {
        add(other.elements[i]);
      }
      return this;

return Element{ rand.Uint64() & maskLow52Bits, rand.Uint64() & maskLow52Bits, rand.Uint64() & maskLow52Bits, rand.Uint64() & maskLow52Bits, rand.Uint64() & maskLow52Bits, } } // weirdLimbs can be combined to generate a range of edge-case field elements. // 0 and -1 are intentionally more weighted, as they combine well. var ( weirdLimbs51 = []uint64{ 0, 0, 0, 0, 1, 19 - 1, 19, 0x2aaaaaaaaaaaa, 0x5555555555555, (1 << 51) - 20, (1 << 51) - 19, (1 << 51) - 1, (1 << 51) - 1, (1 << 51) - 1, (1 << 51) - 1, }...

### Outras formas de código assíncrono { #other-forms-of-asynchronous-code }

Esse estilo de usar `async` e `await` é relativamente novo na linguagem.

}

// The above tests are run for a combination of:
// - graphdef and MLIR tracing engine
INSTANTIATE_TEST_SUITE_P(Tracing, UnifiedCAPI,
                         ::testing::Combine(::testing::Values("graphdef",
                                                              "mlir"),
                                            ::testing::Values(false)));

}  // namespace

    checkArgument(min <= max, "min (%s) must be less than or equal to max (%s)", min, max);
    return Math.min(Math.max(value, min), max);
  }

  /**
   * Returns the values from each provided array combined into a single array. For example, {@code
   * concat(new long[] {a, b}, new long[] {}, new long[] {c}} returns the array {@code {a, b, c}}.
   *
   * @param arrays zero or more {@code long} arrays

	}
	return
}

// collectFragments reads until the first occurrence of delim in the input. It
// returns (slice of full buffers, remaining bytes before delim, total number
// of bytes in the combined first two elements, error).
// The complete result is equal to
// `bytes.Join(append(fullBuffers, finalFragment), nil)`, which has a
// length of `totalLen`. The result is structured in this way to allow callers

Dada la simplicidad de Flask, parecía una buena opción para construir APIs. Lo siguiente a encontrar era un "Django REST Framework" para Flask.

/// check | Inspiró a **FastAPI** a

Ser un micro-framework. Haciendo fácil mezclar y combinar las herramientas y partes necesarias.

Tener un sistema de routing simple y fácil de usar.

///

### [Requests](https://requests.readthedocs.io) { #requests }