context.println();
        context.info("Available goals:");
        context.indent();
        context.info("help  - display this help message");
        context.info("check - check for available upgrades");
        context.info("apply - apply available upgrades");
        context.unindent();
        context.println();
        context.info("Usage: mvnup [options] <goal>");
        context.println();

**FastAPI** will **extract** the data for **each field** from the **query parameters** in the request and give you the Pydantic model you defined.

## Check the Docs { #check-the-docs }

You can see the query parameters in the docs UI at `/docs`:

<div class="screenshot">
<img src="/img/tutorial/query-param-models/image01.png">
</div>

     *
     * @param allPageCount the total page count to set
     */
    public void setAllPageCount(final int allPageCount) {
        this.allPageCount = allPageCount;
    }

    /**
     * Checks whether a previous page exists in the pagination.
     *
     * @return true if a previous page exists, false otherwise
     */
    public boolean isExistPrePage() {
        return existPrePage;
    }

      return;
    }
    try {
      result = runInterruptibly();
    } catch (Throwable t) {
      error = t;
    }
    if (error == null) {
      // The cast is safe because of the `run` and `error` checks.
      afterRanInterruptiblySuccess(uncheckedCastNullableTToT(result));
    } else {
      afterRanInterruptiblyFailure(error);
    }
  }

  abstract boolean isDone();

    /** Scroll timeout for update operations */
    protected String scrollForUpdate = "1m";

    /** Maximum retry attempts for configuration synchronization status checks */
    protected int maxConfigSyncStatusRetry = 10;

    /** Maximum retry attempts for search engine status checks */
    protected int maxEsStatusRetry = 60;

    /** Name of the search engine cluster */
    protected String clusterName = "fesen";

            logger.debug("Login failed for user: {}", username, e);
        }
        return OptionalEntity.empty();
    }

    /**
     * Checks if the specified LDAP user is allowed to have empty group and role permissions.
     *
     * @param ldapUser the LDAP user to check
     * @return true if empty permissions are allowed, false otherwise
     */
    protected boolean allowEmptyGroupAndRole(final LdapUser ldapUser) {

{* ../../docs_src/header_param_models/tutorial001_an_py310.py hl[9:14,18] *}

**FastAPI** will **extract** the data for **each field** from the **headers** in the request and give you the Pydantic model you defined.

## Check the Docs { #check-the-docs }

You can see the required headers in the docs UI at `/docs`:

<div class="screenshot">
<img src="/img/tutorial/header-param-models/image01.png">
</div>

   * true when removing a connection from the pool; otherwise a racing caller might get it from the
   * pool when it shouldn't. Symmetrically, this must always be checked before returning a
   * connection from the pool.
   *
   * Once true this is always true. Guarded by this.
   */
  var noNewExchanges = false

  /**

	return "Unsupported headers in Metadata"
}

// isErrBucketNotFound - Check if error type is BucketNotFound.
func isErrBucketNotFound(err error) bool {
	if errors.Is(err, errVolumeNotFound) {
		return true
	}

	var bkNotFound BucketNotFound
	return errors.As(err, &bkNotFound)
}

// isErrReadQuorum check if the error type is InsufficientReadQuorum
func isErrReadQuorum(err error) bool {

     *
     * @param allPageCount the total page count to set
     */
    public void setAllPageCount(final int allPageCount) {
        this.allPageCount = allPageCount;
    }

    /**
     * Checks if a previous page exists for pagination.
     *
     * @return true if a previous page exists, false otherwise
     */
    public boolean isExistPrePage() {
        return existPrePage;
    }

    /**