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Results 1 - 4 of 4 for zetas (0.08 sec)
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lib/fips140/v1.1.0-rc1.zip
fieldAdd(f[start+3], t) } for start := 0; start < 256; start += 4 { m++ zeta := zetas[m] t := fieldMontgomeryMul(zeta, f[start+2]) f[start+2] = fieldSub(f[start], t) f[start] = fieldAdd(f[start], t) t = fieldMontgomeryMul(zeta, f[start+3]) f[start+3] = fieldSub(f[start+1], t) f[start+1] = fieldAdd(f[start+1], t) } for start := 0; start < 256; start += 2 { m++ zeta := zetas[m] t := fieldMontgomeryMul(zeta, f[start+1]) f[start+1] = fieldSub(f[start], t) f[start] = fieldAdd(f[start], t) } return nttElement(f)...
Registered: Tue Dec 30 11:13:12 UTC 2025 - Last Modified: Thu Dec 11 16:27:41 UTC 2025 - 663K bytes - Viewed (0) -
lib/fips140/v1.0.0-c2097c7c.zip
0b0001_0000 r |= n << 4 & 0b0010_0000 r |= n << 6 & 0b0100_0000 return r } func TestZetas(t *testing.T) { ζ := big.NewInt(17) q := big.NewInt(q) for k, zeta := range zetas { // ζ^BitRev7(k) mod q exp := new(big.Int).Exp(ζ, big.NewInt(int64(BitRev7(uint8(k)))), q) if big.NewInt(int64(zeta)).Cmp(exp) != 0 { t.Errorf("zetas[%d] = %v, expected %v", k, zeta, exp) } } } func TestGammas(t *testing.T) { ζ := big.NewInt(17) q := big.NewInt(q) for k, gamma := range gammas { // ζ^2BitRev7(i)+1 exp := new(big.Int).Exp(ζ,...
Registered: Tue Dec 30 11:13:12 UTC 2025 - Last Modified: Thu Sep 25 19:53:19 UTC 2025 - 642.7K bytes - Viewed (0) -
cmd/xl-storage-format-v2.go
if len(versions) > 0 { versions[0].IsLatest = true } return versions, nil } // mergeXLV2Versions will merge all versions, typically from different disks // that have at least quorum entries in all metas. // Each version slice should be sorted. // Quorum must be the minimum number of matching metadata files. // Quorum should be > 1 and <= len(versions). // If strict is set to false, entries that match type
Registered: Sun Dec 28 19:28:13 UTC 2025 - Last Modified: Fri Aug 29 02:39:48 UTC 2025 - 65.6K bytes - Viewed (1) -
RELEASE.md
`tf.math.squared_difference`, `tf.math.tan`, `tf.math.unsorted_segment_max`, `tf.math.unsorted_segment_min`, `tf.math.unsorted_segment_prod`, `tf.math.unsorted_segment_sum`, `tf.math.zeta`. * New endpoints in `tf.quantization` namespace: `tf.quantization.dequantize`, `tf.quantization.fake_quant_with_min_max_args`, `tf.quantization.fake_quant_with_min_max_args_gradient`,Registered: Tue Dec 30 12:39:10 UTC 2025 - Last Modified: Tue Oct 28 22:27:41 UTC 2025 - 740.4K bytes - Viewed (3)