*   Added APIs for switching between interactive logging and absl logging.
        By default, Keras always writes the logs to stdout. However, this is not
        optimal in a non-interactive environment, where you don't have access to
        stdout, but can only view the logs. You can use
        `tf.keras.utils.disable_interactive_logging()` to write the logs to ABSL
        logging. You can also use `tf.keras.utils.enable_interactive_logging()`

    * The new support for ORM mode fixes issues/adds features related to ORMs with lazy-loading, hybrid properties, dynamic/getters (using `@property` decorators) and several other use cases.
    * This applies to ORMs like SQLAlchemy, Peewee, Tortoise ORM, GINO ORM and virtually any other.

expected %v", i, got, exp) } } } func TestModulusAndNatSiz(t *testing.T) { // These are 126 bit (2 * _W on 64-bit architectures) values, serialized as // 128 bits worth of bytes. If leading zeroes are stripped, they fit in two // limbs, if they are not, they fit in three. This can be a problem because // modulus strips leading zeroes and nat does not. m := modulusFromBytes([]byte{ 0x3f, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff, 0xff}) xb := []byte{0x3f, 0xff,...