And we return the scopes as part of the JWT token.

/// danger

For simplicity, here we are just adding the scopes received directly to the token.

But in your application, for security, you should make sure you only add the scopes that the user is actually able to have, or the ones you have predefined.

///

{* ../../docs_src/security/tutorial005_an_py310.py hl[156] *}

## Declare scopes in *path operations* and dependencies

};

// Returns the number of elements in the gradient tensor.
int64_t TapeVSpace::NumElements(AbstractTensorHandle* tensor) const {
  // TODO(srbs): It seems like this is used only for performance optimization
  // and not for correctness. The only downside of keeping this 1 seems to be
  // that the gradient accumulation is unbounded and we will never
  // aggressively aggregate accumulated gradients to recover memory.

 * between {@link Double#NEGATIVE_INFINITY NEGATIVE_INFINITY} and {@link Double#POSITIVE_INFINITY
 * POSITIVE_INFINITY}, {@link Double#NaN NaN} is returned (note that this will only happen if the
 * dataset contains no finite values).
 *
 * <h3>Performance</h3>
 *
 * <p>The average time complexity of the computation is O(N) in the size of the dataset. There is a

    "Framework :: FastAPI",
    "Framework :: Pydantic",
    "Framework :: Pydantic :: 1",
    "Intended Audience :: Developers",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3 :: Only",
    "Programming Language :: Python :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",

interfaces into a single place. The interfaces themselves are located in
sub-modules, as described below.

Note that the file `__init__.py` in the TensorFlow source code tree is actually
only a placeholder to enable test cases to run. The TensorFlow build replaces
this file with a file generated from [`api_template.__init__.py`](https://www.github.com/tensorflow/tensorflow/blob/master/tensorflow/api_template.__init__.py)
"""

  // description of the mutation suitable for returning to the user.
  //
  // Sessions are added to this map in TF_NewSession, and removed in
  // TF_DeleteSession.
  // TF_Graph may only / must be deleted when
  //   sessions.size() == 0 && delete_requested == true
  //
  // TODO(b/74949947): mutations currently trigger a warning instead of a bad
  // status, this should be reverted when possible.

    int pomOrder = -1;
    boolean resolved = true;
    String artifactUri;

    /**
     * capturing where this link came from
     * and where it is linked to.
     *
     *   In the first implementation only source used for explanatory function
     */
    MetadataGraphVertex source;

    MetadataGraphVertex target;

    // ----------------------------------------------------------------------------

The response will have non-null `cacheResponse` and `networkResponse`. The cacheResponse will be used as the top level
response only if the response code is HTTP/1.1 304 Not Modified.
 
 - CallStart
 - **CacheConditionalHit**
 - ConnectionAcquired
 - ... Standard Events...
 - ResponseBodyEnd _(0 bytes)_
 - **CacheHit**
 - ConnectionReleased

            } else {
                cb.query().setDescription_MatchPhrase(webConfigPager.description);
            }
        }
        // TODO Long, Integer, String supported only.

        // setup condition
        cb.query().addOrderBy_SortOrder_Asc();
        cb.query().addOrderBy_Name_Asc();

        // search

    }

    /** updatedBy */
    protected String updatedBy;

    /** updatedTime */
    protected Long updatedTime;

    /** urlExpr */
    protected String urlExpr;

    // [Referrers] *comment only

    // ===================================================================================
    //                                                                             DB Meta