- Kubelet: the HostPort implementation in dockershim was not taking into consideration the HostIP field, causing that the same HostPort can not be used with different IP addresses.
  This bug causes the conformance test "HostPort validates that there is no conflict between pods with same hostPort but different hostIP and protocol" to fail. ([#98755](https://github.com/kubernetes/kubernetes/pull/98755), [@aojea](https://github.com/aojea)) [SIG Cloud Provider, Network and Node]

    'outputs'. If a model was exported with different names before 1.2, and is
    now served with tensorflow/serving, it will accept requests using 'inputs'
    and 'outputs'. Starting at 1.2, such a model will accept the keys specified
    during export. Therefore, inference requests using 'inputs' and 'outputs'
    may start to fail. To fix this, either update any inference clients to send

inspected and debugged and it is intended to be used during the development
phase.

As part of the differences that make Eager mode easier to debug, the [shape
inference
functions](https://www.tensorflow.org/guide/create_op#define_the_op_interface)
are skipped, and any checks implemented inside the shape inference code are not
executed.

The security impact of skipping those checks should be low, since the attack

Ainsi, avant même de commencer à coder **FastAPI**, j'ai passé plusieurs mois à étudier les spécifications d'OpenAPI, JSON Schema, OAuth2, etc. Comprendre leurs relations, leurs similarités et leurs différences.

## Conception

Ensuite, j'ai passé du temps à concevoir l'"API" de développeur que je voulais avoir en tant qu'utilisateur (en tant que développeur utilisant FastAPI).

        try {
            // Measure timing for differences at different positions
            long timeStart = measureEqualsTime(baseAuth, startAuth, TIMING_ITERATIONS);
            long timeMiddle = measureEqualsTime(baseAuth, middleAuth, TIMING_ITERATIONS);
            long timeEnd = measureEqualsTime(baseAuth, endAuth, TIMING_ITERATIONS);

            // Calculate relative timing differences

// returns a slice with site names participating in site replciation but unspecified while adding
// a new site.
func getMissingSiteNames(oldDeps, newDeps set.StringSet, currSites []madmin.PeerInfo) []string {
	diff := oldDeps.Difference(newDeps)
	var diffSlc []string
	for _, v := range currSites {
		if diff.Contains(v.DeploymentID) {
			diffSlc = append(diffSlc, v.Name)
		}
	}
	return diffSlc
}

Also, the best approach was to use already existing standards.

So, before even starting to code **FastAPI**, I spent several months studying the specs for OpenAPI, JSON Schema, OAuth2, etc. Understanding their relationship, overlap, and differences.

## Design { #design }

Then I spent some time designing the developer "API" I wanted to have as a user (as a developer using FastAPI).

// `shape_inference::InferenceContext` constructor. Note the following:
//   - The inputs of the `op` are not used for shape inference. So, it is
//     OK to not have the inputs properly set in `op`. See `input_tensors`
//     if you want shape inference to consider the input tensors of the
//     op for shape inference.
//   - The types need not be set in `input_shapes` as it is not used.

<p>
<code>B0</code> and <code>B1</code> are different because they are new types
created by distinct <a href="#Type_definitions">type definitions</a>;
<code>func(int, float64) *B0</code> and <code>func(x int, y float64) *[]string</code>
are different because <code>B0</code> is different from <code>[]string</code>;
and <code>P1</code> and <code>P2</code> are different because they are different
type parameters.

                }
            }
        }
    }
}
```

## Types de médias supplémentaires pour la réponse principale

Vous pouvez utiliser ce même paramètre `responses` pour ajouter différents types de médias pour la même réponse principale.