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lib/fips140/v1.26.0.zip
of. for ; i >= 0; i-- { tmp1.Double(tmp2) // Only update v if we have a nonzero coeff to add in. if aNaf[i] > 0 { v.fromP1xP1(tmp1) aTable.SelectInto(multA, aNaf[i]) tmp1.Add(v, multA) } else if aNaf[i] < 0 { v.fromP1xP1(tmp1) aTable.SelectInto(multA, -aNaf[i]) tmp1.Sub(v, multA) } if bNaf[i] > 0 { v.fromP1xP1(tmp1) basepointNafTable.SelectInto(multB, bNaf[i]) tmp1.AddAffine(v, multB) } else if bNaf[i] < 0 { v.fromP1xP1(tmp1) basepointNafTable.SelectInto(multB, -bNaf[i]) tmp1.SubAffine(v, multB)...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) -
CHANGELOG/CHANGELOG-1.19.md
- Fix counting error in service/nodeport/loadbalancer quota check ([#97828](https://github.com/kubernetes/kubernetes/pull/97828), [@pacoxu](https://github.com/pacoxu)) [SIG API Machinery and Network]
Created: Fri Apr 03 09:05:14 GMT 2026 - Last Modified: Wed Jan 05 05:42:32 GMT 2022 - 489.7K bytes - Click Count (0) -
RELEASE.md
relative imports in API `__init__.py` files. * Auto Mixed-Precision graph optimizer simplifies converting models to `float16` for acceleration on Volta and Turing Tensor Cores. This feature can be enabled by wrapping an optimizer class with `tf.train.experimental.enable_mixed_precision_graph_rewrite()`.Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Mon Mar 30 18:31:38 GMT 2026 - 746.5K bytes - Click Count (3)