buffers or pandas dataframes.

*   `tf.keras`:

    *   Added method `get_metrics_result()` to `tf.keras.models.Model`.
        *   Returns the current metrics values of the model as a dict.
    *   Added group normalization layer `tf.keras.layers.GroupNormalization`.
    *   Added weight decay support for all Keras optimizers.
    *   Added Adafactor optimizer `tf.keras.optimizers.Adafactor`.

Rx, err := R.BytesX() if err != nil { return nil, err } r, err := bigmod.NewNat().SetOverflowingBytes(Rx, c.N) if err != nil { return nil, err } // The spec wants us to retry here, but the chance of hitting this condition // on a large prime-order group like the NIST curves we support is // cryptographically negligible. If we hit it, something is awfully wrong. if r.IsZero() == 1 { return nil, errors.New("ecdsa: internal error: r is zero") } e := bigmod.NewNat() hashToNat(c, e, hash) s, err := bi...

2BCA..2BD1    ; valid                  ;      ; NV8    # 7.0  TOP HALF BLACK CIRCLE..UNCERTAINTY SIGN
2BD2          ; valid                  ;      ; NV8    # 10.0 GROUP MARK
2BD3..2BEB    ; valid                  ;      ; NV8    # 11.0 PLUTO FORM TWO..STAR WITH RIGHT HALF BLACK

================================================================

github.com/mailru/easyjson
https://github.com/mailru/easyjson
----------------------------------------------------------------
Copyright (c) 2016 Mail.Ru Group