public TextExtractor textExtractor;

    @Override
    protected void setUp() throws Exception {
        super.setUp();
        StandardCrawlerContainer container = new StandardCrawlerContainer().singleton("textExtractor", TextExtractor.class);
        textExtractor = container.getComponent("textExtractor");
    }

    public void test_getText() {
        final InputStream in = ResourceUtil.getResourceAsStream("extractor/test.txt");

    @Override
    protected void setUp() throws Exception {
        super.setUp();
        StandardCrawlerContainer container = new StandardCrawlerContainer().singleton("msExcelExtractor", MsExcelExtractor.class);
        msExcelExtractor = container.getComponent("msExcelExtractor");
    }

    public void test_getText() {

    @Override
    protected void setUp() throws Exception {
        super.setUp();
        StandardCrawlerContainer container = new StandardCrawlerContainer().singleton("msPowerPointExtractor", MsPowerPointExtractor.class);
        msPowerPointExtractor = container.getComponent("msPowerPointExtractor");
    }

    public void test_getText() {

    public MsWordExtractor msWordExtractor;

    @Override
    protected void setUp() throws Exception {
        super.setUp();
        StandardCrawlerContainer container = new StandardCrawlerContainer().singleton("msWordExtractor", MsWordExtractor.class);
        msWordExtractor = container.getComponent("msWordExtractor");
    }

    public void test_getText() {

The CI folder contains the configuration files and scripts used to build, test,
and deploy TensorFlow. This folder is typically used by continuous integration
(CI) tools to build and test TensorFlow whenever there is a change to the
code. This folder is broken into subfolders that represent the level of support

    docker push "$TFCI_DOCKER_IMAGE"
  fi
fi

# Keep the existing "tf" container if it's already present.
# The container is not cleaned up automatically! Remove it with:
# docker rm tf
if ! docker container inspect tf >/dev/null 2>&1 ; then
  # Pass all existing TFCI_ variables into the Docker container
  env_file=$(mktemp)
  env | grep ^TFCI_ > "$env_file"

  if [[ $(uname -s) == MSYS_NT* ]]; then

| `contact` | `dict` | As informações de contato da API exposta. Pode conter vários campos. <details><summary>Campos de <code>contact</code></summary><table><thead><tr><th>Parâmetro</th><th>Tipo</th><th>Descrição</th></tr></thead><tbody><tr><td><code>name</code></td><td><code>str</code></td><td>O nome identificador da pessoa/organização de contato.</td></tr><tr><td><code>url</code></td><td><code>str</code></td><td>A URL que...

	StorageClass string
	Initiated    string
}

// CommonPrefix container for prefix response in ListObjectsResponse
type CommonPrefix struct {
	Prefix string
}

// Bucket container for bucket metadata
type Bucket struct {
	Name         string
	CreationDate string // time string of format "2006-01-02T15:04:05.000Z"
}

// ObjectVersion container for object version metadata
type ObjectVersion struct {
	Object

			return value, false
		}
		c.evictList.MoveToFront(ent)
		return ent.Value, true
	}
	return
}

// Contains checks if a key is in the cache, without updating the recent-ness
// or deleting it for being stale.
func (c *LRU[K, V]) Contains(key K) (ok bool) {
	c.mu.Lock()
	defer c.mu.Unlock()
	_, ok = c.items[key]
	return ok
}

Once WSO2 is up and running, configure WSO2 to generate Self contained id_tokens. In OAuth 2.0 specification there are primarily two ways to provide id_tokens

1. The id_token is an identifier that is hard to guess. For example, a randomly generated string of sufficient length, that the server handling the protected resource can use to lookup the associated authorization information.