_failedRoutes.add(failedRoute)
  }

  /** Records success connecting to [route]. */
  @Synchronized fun connected(route: Route) {
    _failedRoutes.remove(route)
  }

  /** Returns true if [route] has failed recently and should be avoided. */
  @Synchronized fun shouldPostpone(route: Route): Boolean = route in _failedRoutes

    val issuer = cert.issuerX500Principal
    val subjectCaCerts = subjectToCaCerts[issuer] ?: return null

    return subjectCaCerts.firstOrNull {
      try {
        cert.verify(it.publicKey)
        return@firstOrNull true
      } catch (_: Exception) {
        return@firstOrNull false
      }
    }
  }

  override fun equals(other: Any?): Boolean {
    return other === this ||

        int hash = 17;
        hash = hash * 31 + type.hashCode();
        return hash;
    }

    @Override
    public boolean equals(Object obj) {
        if (this == obj) {
            return true;
        }

        if (!(obj instanceof TypeArtifactFilter)) {
            return false;
        }

        TypeArtifactFilter other = (TypeArtifactFilter) obj;

        return type.equals(other.type);

	// Replica - this is a replica.
	Replica StatusType = "REPLICA"
)

// String returns string representation of status
func (s StatusType) String() string {
	return string(s)
}

// Empty returns true if this status is not set
func (s StatusType) Empty() bool {
	return string(s) == ""

    assert response.json() == {"message": "Here's your interdimensional portal."}


@needs_py310
def test_get_redirect(client: TestClient):
    response = client.get("/portal", params={"teleport": True}, follow_redirects=False)
    assert response.status_code == 307, response.text
    assert response.headers["location"] == "https://www.youtube.com/watch?v=dQw4w9WgXcQ"


@needs_py310

 * parameter specified by `input_index`.
 *
 * I.e. if y = <output of the forward model> and w = inputs[input_index],
 * this will calculate dy/dw numerically.
 *
 * `use_function` indicates whether to use graph mode(true) or eager(false).
 *
 * `numerical_grad` is the pointer to the AbstractTensorHandle* which will
 * hold the numerical gradient data at the end of the function.
 */

     *
     * @param sessionId Session ID
     */
    void init(String sessionId);

    /**
     * Check if a given url is a target.
     *
     * @param url URL
     * @return true if url is matched
     */
    boolean match(String url);

    /**
     * Add an url pattern as a target.
     *
     * @param urlPattern Regular expression that is crawled
     */

        this.numberOfInputDocs = numberOfInputDocs;
        this.took = took;
        if (errors == null || errors.isEmpty()) {
            hasError = false;
        } else {
            hasError = true;
            errors.forEach(this.errors::add);
        }
    }

    public int getNumberOfSuggestDocs() {
        return numberOfSuggestDocs;
    }

    public int getNumberOfInputDocs() {

message PodAttachOptions {
  // Stdin if true, redirects the standard input stream of the pod for this call.
  // Defaults to false.
  // +optional
  optional bool stdin = 1;

  // Stdout if true indicates that stdout is to be redirected for the attach call.
  // Defaults to true.
  // +optional
  optional bool stdout = 2;

  // Stderr if true indicates that stderr is to be redirected for the attach call.

        title="Query string",
        description="Query string for the items to search in the database that have a good match",
        min_length=3,
        max_length=50,
        pattern="^fixedquery$",
        deprecated=True,
    ),
):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})