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Results 1 - 4 of 4 for curve (0.05 seconds)

  1. api/go1.26.txt

    pkg crypto, type Encapsulator interface, Bytes() []uint8 #75300
    pkg crypto, type Encapsulator interface, Encapsulate() ([]uint8, []uint8) #75300
    pkg crypto/ecdh, type KeyExchanger interface { Curve, ECDH, PublicKey } #75300
    pkg crypto/ecdh, type KeyExchanger interface, Curve() Curve #75300
    pkg crypto/ecdh, type KeyExchanger interface, ECDH(*PublicKey) ([]uint8, error) #75300
    pkg crypto/ecdh, type KeyExchanger interface, PublicKey() *PublicKey #75300
    Created: Tue Dec 30 11:13:12 GMT 2025
    - Last Modified: Thu Dec 11 19:57:52 GMT 2025
    - 11.5K bytes
    - Click Count (0)
  2. lib/fips140/v1.0.0-c2097c7c.zip

    ); err != nil { return nil, err } return &PublicKey{curve: c.curve, q: bytes.Clone(key)}, nil } func ECDH[P Point[P]](c *Curve[P], k *PrivateKey, peer *PublicKey) ([]byte, error) { fipsSelfTest() fips140.RecordApproved() return ecdh(c, k, peer) } func ecdh[P Point[P]](c *Curve[P], k *PrivateKey, peer *PublicKey) ([]byte, error) { if c.curve != k.pub.curve { return nil, errors.New("crypto/ecdh: mismatched curves") } if k.pub.curve != peer.curve { return nil, errors.New("crypto/ecdh: mismatched curves")...
    Created: Tue Dec 30 11:13:12 GMT 2025
    - Last Modified: Thu Sep 25 19:53:19 GMT 2025
    - 642.7K bytes
    - Click Count (0)
  3. lib/fips140/v1.1.0-rc1.zip

    ); err != nil { return nil, err } return &PublicKey{curve: c.curve, q: bytes.Clone(key)}, nil } func ECDH[P Point[P]](c *Curve[P], k *PrivateKey, peer *PublicKey) ([]byte, error) { fipsSelfTest() fips140.RecordApproved() return ecdh(c, k, peer) } func ecdh[P Point[P]](c *Curve[P], k *PrivateKey, peer *PublicKey) ([]byte, error) { if c.curve != k.pub.curve { return nil, errors.New("crypto/ecdh: mismatched curves") } if k.pub.curve != peer.curve { return nil, errors.New("crypto/ecdh: mismatched curves")...
    Created: Tue Dec 30 11:13:12 GMT 2025
    - Last Modified: Thu Dec 11 16:27:41 GMT 2025
    - 663K bytes
    - Click Count (0)
  4. RELEASE.md

        *   Add `tf.keras.layers.AbstractRNNCell` as the preferred implementation
            for RNN cells in TF v2. User can use it to implement RNN cells with
            custom behavior.
        *   Keras training and validation curves are shown on the same plot when
            using the TensorBoard callback.
        *   Switched Keras `fit/evaluate/predict` execution to use only a single
            unified path by default unless eager execution has been explicitly
    Created: Tue Dec 30 12:39:10 GMT 2025
    - Last Modified: Tue Oct 28 22:27:41 GMT 2025
    - 740.4K bytes
    - Click Count (3)
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