PossiblyPrime W = 55 B = 48 # Other witnesses for 65 and 85 will report composite: # Found non-trivial square root Result = Composite W = 41 B = 2c # End of iteration Result = Composite W = 41 B = 16 # End of iteration Result = Composite W = 41 B = 14 # End of iteration Result = Composite W = 41 B = 2 # End of iteration Result = Composite W = 41 B = 3a # End of iteration Result = Composite W = 55 B = 40 # End of iteration Result = Composite W = 55 B = 7 # End of iteration Result = Composite W = 55 B = 23...

PossiblyPrime W = 55 B = 48 # Other witnesses for 65 and 85 will report composite: # Found non-trivial square root Result = Composite W = 41 B = 2c # End of iteration Result = Composite W = 41 B = 16 # End of iteration Result = Composite W = 41 B = 14 # End of iteration Result = Composite W = 41 B = 2 # End of iteration Result = Composite W = 41 B = 3a # End of iteration Result = Composite W = 55 B = 40 # End of iteration Result = Composite W = 55 B = 7 # End of iteration Result = Composite W = 55 B = 23...

        This calling convention is now the preferred way to use concrete
        functions with nested values and composite tensors. Please check the
        [guide](https://www.tensorflow.org/guide/concrete_function) for more
        details on `concrete_ function`.
    *   Update `tf.function`'s `experimental_relax_shapes` to handle composite
        tensors appropriately.
    *   Optimize `tf.function` invocation, by removing redundant list converter.

    * Composite bodies' IDs are now based on path, not only on route name, as the auto-generated name uses the function names, that can be duplicated in different modules.
    * The same new ID generation applies to response models.
    * This also changes the generated title for those models.