flexible and reproducible package, is available via the new
    `tf.contrib.data.Dataset.from_generator` method!
*   Fix `tf.contrib.distributions.Affine` incorrectly computing
    log-det-jacobian.
*   Fix `tf.random_gamma` incorrectly handling non-batch, scalar draws.
*   Resolved a race condition in TensorForest TreePredictionsV4Op.
*   Google Cloud Storage file system, Amazon S3 file system, and Hadoop file

RNG would immediately // leak the private key. Instead, we use a "hedged" approach, as specified // in draft-irtf-cfrg-det-sigs-with-noise-04, Section 4. This has also the // advantage of closely resembling Deterministic ECDSA. Z := make([]byte, len(priv.d)) if err := drbg.ReadWithReader(rand, Z); err != nil { return nil, err } // See https://github.com/cfrg/draft-irtf-cfrg-det-sigs-with-noise/issues/6 // for the FIPS compliance of this method. In short Z is entropy from the // main DRBG, of length...