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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) -
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) -
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) -
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 explicitlyCreated: Tue Dec 30 12:39:10 GMT 2025 - Last Modified: Tue Oct 28 22:27:41 GMT 2025 - 740.4K bytes - Click Count (3)