'code': authorization_code, 'redirect_uri': callback_uri}
    id_token_response = requests.post(
        token_url, data=data, verify=False,
        allow_redirects=False, auth=(client_id, client_secret))

    print('body: ' + id_token_response.text)

    # we can now use the id_token as much as we want to access protected resources.
    tokens = json.loads(id_token_response.text)
    id_token = tokens['id_token']

filesystem_security_assignee:
   - mihaimaruseac
   
# Cuda Comment
cuda_comment: >
   From the template it looks like you are installing **TensorFlow** (TF) prebuilt binaries:
      * For TF-GPU - See point 1
      * For TF-CPU - See point 2
   -----------------------------------------------------------------------------------------------
   
   **1. Installing **TensorFlow-GPU** (TF) prebuilt binaries**
   
   

If you use a `try` block in a dependency with `yield`, you'll receive any exception that was thrown when using the dependency.

For example, if some code at some point in the middle, in another dependency or in a *path operation*, made a database transaction "rollback" or create any other error, you will receive the exception in your dependency.

./mc version enable sitea/testbucket

./mc put --quiet README.md sitea/testbucket/file
etag1=$(./mc cat sitea/testbucket/file | md5sum --tag | awk {'print $4'})

./mc cp --quiet --storage-class "STANDARD" sitea/testbucket/file sitea/testbucket/file
etag2=$(./mc cat sitea/testbucket/file | md5sum --tag | awk {'print $4'})
if [ $etag1 != $etag2 ]; then
	echo "expected $etag1, got $etag2"
	exit 1
fi

echo "SUCCESS:"

* Hooks (Before/After Create/Save/Update/Delete/Find)
* Eager loading with `Preload`, `Joins`
* Transactions, Nested Transactions, Save Point, RollbackTo to Saved Point
* Context, Prepared Statement Mode, DryRun Mode
* Batch Insert, FindInBatches, Find To Map
* SQL Builder, Upsert, Locking, Optimizer/Index/Comment Hints, NamedArg, Search/Update/Create with SQL Expr

 * All comments are ignored.
 *
 * Regular lines contain fields separated by semicolons.
 *
 * The first element on each line is a single hex code point (like 0041) or a hex code point range
 * (like 0030..0039).
 *
 * The second element on each line is a mapping type, like `valid` or `mapped`.
 *

<!--
This section can be blank if this pull request does not require a release note.

When adding links which point to resources within git repositories, like
KEPs or supporting documentation, please reference a specific commit and avoid
linking directly to the master branch. This ensures that links reference a
specific point in time, rather than a document that may change over time.

     */
    public ModelBuilderException(ModelBuilderResult result) {
        super(result.toString());
        this.result = result;
    }

    /**
     * Gets the interim result of the model building up to the point where it failed.
     *
     * @return The interim model building result or {@code null} if not available.
     */
    public ModelBuilderResult getResult() {
        return result;
    }

    /**

  fi
fi
"$python" -m pip install *.whl $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS
if [[ "$TFCI_WHL_IMPORT_TEST_ENABLE" == "1" ]]; then
  "$python" -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)'
  "$python" -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)'
fi
# Import tf nightly wheel built with numpy2 from PyPI in numpy1 env for testing.

//	{
//		outcode(int($1), &$2, 0, &$4);
//	}
label3:
	BLTZ	R1, 1(PC)
	BLTZ	R1, label3	// BLTZ R1, 85

//
// floating point conditional branch
//
//	LBRA rel
label4:
	BFPT	1(PC)
	BFPT	label4	// BFPT 87


	//
	// floating point operate
	//
	//	LFCONV freg ',' freg
	//	{
	//		outcode(int($1), &$2, 0, &$4);
	//	}
	ABSD	F1, F2

	//	LFADD freg ',' freg