issue found, _BigtableXYZDataset (of type DatasetV2) does not implement
        the _as_variant_tensor() of DatasetV1, when moving contrib.bigtable to
        tensorflow_io. Converting into DatasetV2 removes the overheads to
        maintain V1 while we are moving into TF 2.0.
    *   Add dataset ops to the graph (or create kernels in Eager execution)

r_rabin_tests.txt # This file contains test vectors for whether B is a Miller-Rabin composite # witness for W. W must be odd and B must satisfy 1 <= B <= W-1. # # It was copied from BoringSSL's crypto/fipsmodule/bn/test/miller_rabin_tests.txt, # removing out-of-range candidates that we reject within the iteration function. # Exhaustively test a small prime. Result = PossiblyPrime W = 7 B = 2 Result = PossiblyPrime W = 7 B = 3 Result = PossiblyPrime W = 7 B = 4 Result = PossiblyPrime W = 7 B = 5 #...

r_rabin_tests.txt # This file contains test vectors for whether B is a Miller-Rabin composite # witness for W. W must be odd and B must satisfy 1 <= B <= W-1. # # It was copied from BoringSSL's crypto/fipsmodule/bn/test/miller_rabin_tests.txt, # removing out-of-range candidates that we reject within the iteration function. # Exhaustively test a small prime. Result = PossiblyPrime W = 7 B = 2 Result = PossiblyPrime W = 7 B = 3 Result = PossiblyPrime W = 7 B = 4 Result = PossiblyPrime W = 7 B = 5 #...