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lib/fips140/v1.26.0.zip
0x47, 0xae, 0xbb, 0x6f, 0xb7, 0x1e, 0x91, 0x38, 0x64, 0x09} // NewPrivateKey creates a new ECDSA private key from the given D and Q byte // slices. D must be the fixed-length big-endian encoding of the private scalar, // and Q must be the compressed or uncompressed encoding of the public point. func NewPrivateKey[P Point[P]](c *Curve[P], D, Q []byte) (*PrivateKey, error) { fips140.RecordApproved() pub, err := NewPublicKey(c, Q) if err != nil { return nil, err } if len(D) != c.N.Size() { return nil,...
Created: Tue Apr 07 11:13:11 GMT 2026 - Last Modified: Thu Jan 08 17:58:32 GMT 2026 - 660.3K bytes - Click Count (0) -
lib/fips140/v1.0.0-c2097c7c.zip
*{{.P}}Point { p.x.SetBytes({{.Gx}}) p.y.SetBytes({{.Gy}}) p.z.One() return p } // Set sets p = q and returns p. func (p *{{.P}}Point) Set(q *{{.P}}Point) *{{.P}}Point { p.x.Set(q.x) p.y.Set(q.y) p.z.Set(q.z) return p } // SetBytes sets p to the compressed, uncompressed, or infinity value encoded in // b, as specified in SEC 1, Version 2.0, Section 2.3.4. If the point is not on // the curve, it returns nil and an error, and the receiver is unchanged. // Otherwise, it returns p. func (p *{{.P}}Point) SetBytes(b...Created: Tue Apr 07 11:13:11 GMT 2026 - Last Modified: Thu Sep 25 19:53:19 GMT 2025 - 642.7K bytes - Click Count (0) -
src/main/java/org/codelibs/fess/mylasta/direction/FessConfig.java
* application/zip=zip<br> * application/x-7z-comressed=7z<br> * application/x-bzip=bz<br> * application/x-bzip2=bz2<br> * application/x-tar=tar<br> * application/x-rar-compressed=rar<br> * video/3gp=3gp<br> * video/3g2=3g2<br> * video/x-msvideo=avi<br> * video/x-flv=flv<br> * video/mpeg=mpeg<br> * video/mp4=mp4<br> * video/ogv=ogv<br>
Created: Tue Mar 31 13:07:34 GMT 2026 - Last Modified: Sat Mar 28 06:59:19 GMT 2026 - 576.9K bytes - Click Count (2) -
RELEASE.md
round robin reads, users can guarantee that consumers get similar-sized examples in the same step. * tf.data service now supports optional compression. Previously data would always be compressed, but now you can disable compression by passing `compression=None` to `tf.data.experimental.service.distribute(...)`. * `tf.data.Dataset.batch()` now supports `num_parallel_calls` andCreated: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Mon Mar 30 18:31:38 GMT 2026 - 746.5K bytes - Click Count (3)