* Valide les **structures complexes**:
    * Utilise les modèles hiérarchique de Pydantic, le `typage` Python pour les `Lists`, `Dict`, etc.
    * Et les validateurs permettent aux schémas de données complexes d'être clairement et facilement définis, validés et documentés sous forme d'un schéma JSON.

		}
		// Look for 'crossdomain.xml' in the incoming request.
		if r.URL.Path == crossDomainXMLEntity {
			// Write the standard cross domain policy xml.
			w.Write([]byte(cxml))
			// Request completed, no need to serve to other handlers.
			return
		}
		h.ServeHTTP(w, r)
	})

        ERROR_MORE_DATA, ERROR_SERVICE_NOT_INSTALLED, ERROR_NO_BROWSER_SERVERS_FOUND,
    };

    static final String[] WINERR_MESSAGES = {
        "The operation completed successfully.", "Access is denied.",
        "No more connections can be made to this remote computer at this time because there are already as many connections as the computer can accept.",

---
name: TensorFlow Lite Op Request
about: Use this template for reporting Lite ops you are using or missing
labels: 'comp:lite'

---

**System information**
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installed from (source or binary):
- TensorFlow version (or github SHA if from source):


**Provide the text output from tflite_convert**

```
# Copy and paste here
```

- To run `make verifiers`
- To squash your commits into a single commit. `git rebase -i`. It's okay to force update your pull request.
- To run `make test` and `make build` completes.

### Commit changes

After verification, commit your changes. This is a [great post](https://chris.beams.io/posts/git-commit/) on how to write useful commit messages

```
git commit -am 'Add some feature'
```

      boolean firstUpdate = true;

      @Override public void update(long bytesRead, long contentLength, boolean done) {
        if (done) {
          System.out.println("completed");
        } else {
          if (firstUpdate) {
            firstUpdate = false;
            if (contentLength == -1) {
              System.out.println("content-length: unknown");
            } else {

// reads are running.
type syncReadCloser struct {
	rc io.ReadCloser
	mu sync.Mutex
}

func (pr *syncReadCloser) Read(p []byte) (n int, err error) {
	// This ensures that Close will block until Read has completed.
	// This allows another goroutine to close the reader.
	pr.mu.Lock()
	defer pr.mu.Unlock()
	if pr.rc == nil {
		return 0, io.EOF
	}
	return pr.rc.Read(p)
}

---
name: TensorFlow Lite in Play Services issue
about: Use this template for issues with TensorFlow Lite in Google Play Services
labels: 'comp:lite-in-play-services'

---

**System information**
- Android Device information (use `adb shell getprop ro.build.fingerprint`
  if possible):
- TensorFlow Lite in Play Services SDK version (found in `build.gradle`):
- Google Play Services version

 * code, running tests, packaging the project, and deploying it. Executing a phase
 * triggers all preceding phases, ensuring that each step of the build process is
 * completed in the correct order. The three main lifecycles in Maven are
 * {@link #DEFAULT default}, {@link #CLEAN clean}, and {@link #SITE site}, with the
 * {@code default} lifecycle being the most commonly used for project builds.
 *

	processedReader *countUpReader

	closedMu sync.Mutex
	closer   io.ReadCloser
	closed   bool
}

func (pr *progressReader) Read(p []byte) (n int, err error) {
	// This ensures that Close will block until Read has completed.
	// This allows another goroutine to close the reader.
	pr.closedMu.Lock()
	defer pr.closedMu.Unlock()
	if pr.closed {
		return 0, errors.New("progressReader: read after Close")
	}
	return pr.processedReader.Read(p)