///

/// warning

If you do this, you have to make sure each one of your *path operation functions* has a unique name.

Even if they are in different modules (Python files).

///

## Exclude from OpenAPI { #exclude-from-openapi }

     */
    boolean isAllowStubModel();

    /**
     * Determines whether the project builder should recursively build parent/child projects.
     * When true, the builder will process parent POMs and child modules as needed.
     *
     * @return true if the build should be recursive, false otherwise
     */
    boolean isRecursive();

    /**
     * Determines whether plugins should be processed during project building.

	logger.LogIf(ctx, "tier", err, errKind...)
}

func kmsLogIf(ctx context.Context, err error, errKind ...any) {
	logger.LogIf(ctx, "kms", err, errKind...)
}

// KMSLogger permits access to kms module specific logging
type KMSLogger struct{}

// LogOnceIf is the implementation of LogOnceIf, accessible using the Logger interface
func (l KMSLogger) LogOnceIf(ctx context.Context, err error, id string, errKind ...any) {

running the `tf.train.Server`.

## Untrusted inputs during training and prediction

TensorFlow supports a wide range of input data formats. For example it can
process images, audio, videos, and text. There are several modules specialized
in taking those formats, modifying them, and/or converting them to intermediate
formats that can be processed by TensorFlow.

These modifications and conversions are handled by a variety of libraries that

///

/// warning | Attention

Pour faire cela, vous devez vous assurer que chacun de vos *chemin* ait un nom unique.

Même s'ils se trouvent dans des modules différents (fichiers Python).

///

## Exclusion d'OpenAPI

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.

# a service account that has the right permissions to be able to do so.
set +x
if [[ -n "${GOOGLE_APPLICATION_CREDENTIALS:-}" ]]; then
  # Python 3.12 removed the module `imp` which is needed by gcloud CLI so we set
  # `CLOUDSDK_PYTHON` to Python 3.11 which is the system Python on TFCI Mac
  # VMs.
  pyenv install -s "3.11"
  if [[ $? -eq 0 ]]; then
    pyenv local "3.11"

 * Fix: Exhaust the underlying stream when reading gzip streams.
 * Fix: Support the `PATCH` method.
 * Fix: Support request bodies on `DELETE` method.
 * Fix: Drop the `okhttp-protocols` module.
 * Internal: Replaced internal byte array buffers with pooled buffers ("OkBuffer").


## Version 1.3.0

_2014-01-11_

 * New: Support for "PATCH" HTTP method in client and MockWebServer.

         *
         * So this is probably just the "Windows Java 8" case. In that case, if we wanted *another*
         * layer of fallback before consulting the system property, we could try
         * com.sun.security.auth.module.NTSystem.
         *
         * But for now, we use the value from the system property as our best guess.
         */
        return fromSystemProperty;
      } catch (InvocationTargetException e) {

    ```bash
    bazel run //tensorflow/tools/docs:tf_doctest
    ```

    or

    ```bash
    bazel run //tensorflow/tools/docs:tf_doctest -- --module=ops.array_ops
    ```

    The `--module` is relative to `tensorflow.python`.

#### Debug builds

When [building Tensorflow](https://www.tensorflow.org/install/source), passing