labels.pos=POS
labels.purgeJobLogDay=Purge Job Log Before
labels.purgeUserInfoDay=Purge User Before
labels.reading=Reading
labels.roleTypeIds=Role ID
labels.scriptData=Script
labels.scriptResult=Result
labels.scriptType=Executor
labels.segmentation=Segmentation
labels.startTime=Start Time
labels.target=Target
labels.token=Token
labels.synonymFile=Synonym File
labels.stopwordsFile=Stopwords File

<div class="termy">

```console
$ pip install pytest

---> 100%
```

</div>

Ele detectará os arquivos e os testes automaticamente, os executará e informará os resultados para você.

Execute os testes com:

<div class="termy">

```console
$ pytest

================ test session starts ================

  EXPECT_THAT(TF_Message(status.get()), HasSubstr("assertion failed"));

  // Note that future collectives with the same context do not work at the
  // moment; once canceled, the collective executor requires the program to be
  // restarted / context to be reset.
}

TEST(PARALLEL_DEVICE_LIB, TestDifferentShapes) {
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(

///

## Motivations

Prenons un exemple simple :

```Python
{!../../docs_src/python_types/tutorial001.py!}
```

Exécuter ce programe affiche :

```
John Doe
```

La fonction :

* Prend un `first_name` et un `last_name`.
* Convertit la première lettre de chaque paramètre en majuscules grâce à `title()`.

labels.pos=POS
labels.purgeJobLogDay=Purge Job Log Before
labels.purgeUserInfoDay=Purge User Before
labels.reading=Reading
labels.roleTypeIds=Role ID
labels.scriptData=Script
labels.scriptResult=Result
labels.scriptType=Executor
labels.segmentation=Segmentation
labels.startTime=Start Time
labels.target=Target
labels.token=Token
labels.synonymFile=Synonym File
labels.stopwordsFile=Stopwords File

labels.purgeJobLogDay=Bereinige Suchprotokoll nach
labels.purgeUserInfoDay=Bereinige Benutzer nach
labels.reading=Lesen
labels.roleTypeIds=Rollen-ID
labels.scriptData=Skript
labels.scriptResult=Suchergebnis
labels.scriptType=Executor
labels.segmentation=Segmentierung
labels.startTime=Startzeitpunkt
labels.target=Ziel
labels.token=Token
labels.synonymFile=Datei mit Synonymen
labels.elevateWordFile=Datei mit zusätzlichen Wörtern

labels.scheduledjob_title_details=Jobs
labels.scheduledjob_name=Name
labels.scheduledjob_target=Target
labels.scheduledjob_status=Status
labels.scheduledjob_cronExpression=Schedule
labels.scheduledjob_scriptType=Executor
labels.scheduledjob_scriptData=Script
labels.scheduledjob_jobLogging=Logging
labels.scheduledjob_crawler=Crawler Job
labels.scheduledjob_running=Running
labels.scheduledjob_active=Active

      : status_(TF_NewStatus()),
        // If the context's default exector is set to async, re-using that in
        // each thread would cause collectives to deadlock. For consistency we
        // create a new sync executor for every thread.
        //
        // TODO(allenl): We should have an async API that works with the
        // parallel device.
        device_(device),
        executor_(

Um objeto "chamável" em Python é qualquer coisa que o Python possa "chamar" como uma função

Então se você tiver um objeto `alguma_coisa` (que pode *não* ser uma função) que você possa "chamar" (executá-lo) dessa maneira:

```Python
something()
```

ou

```Python
something(some_argument, some_keyword_argument="foo")
```

Então esse objeto é um "chamável".

## Classes como dependências

C'est le serveur recommandé pour Starlette et **FastAPI**.

/// check | "**FastAPI** le recommande comme"

Le serveur web principal pour exécuter les applications **FastAPI**.

Vous pouvez le combiner avec Gunicorn, pour avoir un serveur multi-processus asynchrone.