Em nosso caso, este decorador informa ao **FastAPI** que a função abaixo corresponde a **rota** `/` com uma **operação** `get`.

    É o "**decorador de rota**".

Você também pode usar as outras operações:

* `@app.post()`
* `@app.put()`
* `@app.delete()`

E os mais exóticos:

* `@app.options()`
* `@app.head()`
* `@app.patch()`
* `@app.trace()`

!!! tip "Dica"

			// Since we've encountered an unknown field, fallback to unstructured equality checking.
			ouMap, ok := other.(*unstructuredMap)
			if !ok {
				// The compiler ensures equality is against the same type of object, so this should be unreachable
				return types.MaybeNoSuchOverloadErr(other)
			}
			if oValue, ok := ouMap.value[key]; ok {
				if !equality.Semantic.DeepEqual(value, oValue) {
					return types.False
				}

* Suporte para sistemas de autenticação complexos, **conexões com banco de dados** etc.
* **Sem comprometer** os bancos de dados, _frontends_ etc. Mas fácil integração com todos eles.

### "Plug-ins" ilimitados

Ou, de outra forma, sem a necessidade deles, importe e use o código que precisar.

  rewriter.setInsertionPointAfter(gemm_style_op);

  Operation* next_op = FindUserOfType<>(gemm_style_op);

  // If activation exists, omit clipping op.
  // Since out_scale and out_zp are computed based on clipped range,
  // explicit activation clipping op is not required.
  if (isa<AddOp>(next_op) && gemm_style_op->hasOneUse()) {
    // bias fusion
    CreateAndReturnQuantizedBiasPattern(

				"self.presentObj.?presentStr.optMap(v, v == 'value').hasValue()",
				"self.?absentObj.?absentStr == optional.none()",
				"self.?absentObj.?absentStr.or(optional.of('nope')) == optional.of('nope')",
				"self.?absentObj.?absentStr.orValue('nope') == 'nope'",
				"self.?absentObj.?absentStr.hasValue() == false",
				"self.?absentObj.?absentStr.optMap(v, v == 'value').hasValue() == false",

		}
	}
	if rr.Cond != "" {
		rr.add(breakf("!(%s)", rr.Cond))
	}

	// Rule matches. Generate result.
	outop, _, auxint, aux, t := extract(rr.Result) // remove parens, then split
	blockName, outdata := getBlockInfo(outop, arch)
	if len(t) < outdata.controls {
		log.Fatalf("incorrect number of output arguments in %s, got %v wanted at least %v", rule, len(s), outdata.controls)
	}

				"optional.of('a').or(optional.of('a')).hasValue()":    2, // or() is short-circuited
				"optional.none().or(optional.of('a')).hasValue()":     3,
				"optional.of('a').optMap(v, v == 'value').hasValue()": 8,
				"self.obj.?field == optional.of('a')":                 5,
				"self.obj.?absentField == optional.none()":            4,
				"self.obj.?field.orValue('v') == 'a'":                 4,

		in, out := &in.BinaryData, &out.BinaryData
		*out = make(map[string][]byte, len(*in))
		for key, val := range *in {
			var outVal []byte
			if val == nil {
				(*out)[key] = nil
			} else {
				in, out := &val, &outVal
				*out = make([]byte, len(*in))
				copy(*out, *in)
			}
			(*out)[key] = outVal
		}
	}
	return
}

		in, out := &in.BinaryData, &out.BinaryData
		*out = make(map[string][]byte, len(*in))
		for key, val := range *in {
			var outVal []byte
			if val == nil {
				(*out)[key] = nil
			} else {
				in, out := &val, &outVal
				*out = make([]byte, len(*in))
				copy(*out, *in)
			}
			(*out)[key] = outVal
		}
	}
	return
}

// quantize_conv_with_bias_dynamic_fn, omitting stablehlo.maximum.
// This is because activation clipping which includes 0.0f can be simply
// omitted from the graph as the lifted function's out_scale and out_zp are
// already calculated based on the clipped distribution.
// Note that the resulting scale and zero point should be calculated based on
// clipped range [0, r_max].

module attributes {tf_saved_model.semantics} {