* for whatever reason. I copy over the uid here so it appears correct
             * in logging output. Logging of andx segments of messages inadvertantly
             * print header information because of the way toString always makes a
             * super.toString() call(see toString() at the end of all smbs classes).
             */

            this.andx.uid = this.uid;

     *
     * 1) To invoke FinalizableReference.finalizeReferent()
     *
     * 2) To detect when FinalizableReference's class loader has to be garbage collected, at which
     * point, Finalizer can stop running
     */

    Finalizer finalizer = new Finalizer(finalizableReferenceClass, queue, frqReference);
    String threadName = "com.google.common.base.internal.Finalizer";
    Thread thread = null;

  - type: dropdown
    id: source
    attributes:
      label: Source
      description: TensorFlow installed from

    ) {
    }
  }

  companion object {
    /** Arbitrary code point that's 2 bytes in UTF-8 and valid in IdnaMappingTable.txt. */
    private const val UNICODE_2 = 0x1a5

    /** Arbitrary code point that's 3 bytes in UTF-8 and valid in IdnaMappingTable.txt. */
    private const val UNICODE_3 = 0x2202

    /** Arbitrary code point that's 4 bytes in UTF-8 and valid in IdnaMappingTable.txt. */

	tx := DB.Begin()

	user := *GetUser("transaction-save-point", Config{})
	tx.Create(&user)

	if err := tx.First(&User{}, "name = ?", user.Name).Error; err != nil {
		t.Fatalf("Should find saved record")
	}

	if err := tx.SavePoint("save_point1").Error; err != nil {
		t.Fatalf("Failed to save point, got error %v", err)
	}

	user1 := *GetUser("transaction-save-point-1", Config{})
	tx.Create(&user1)

def process_item(item: int | str):

def process_items(items: list[str]):
    for item in items:

else
  "$python" -m pip install *.whl $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS
fi
if [[ "$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.

            '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']

        // Verify nulls suppression is enabled
        assertTrue("Nulls should be suppressed", testProvider.isNullsSuppressed());

        // Verify pretty print is enabled
        assertFalse("Pretty print should not be suppressed", testProvider.isPrettyPrintSuppressed());

        // Verify mapping option configuration
        JsonMappingOption mappingOption = testProvider.provideMappingOption();