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  1. lib/fips140/v1.26.0.zip

    benchmark helps // us figure out which is faster: four rejections of ML-DSA-44, or three of // ML-DSA-65. (It's the former, but only barely.) b.Run("ML-DSA-44", func(b *testing.B) { // Same as TestACVPRejectionKAT/Test/Path/ML-DSA-44/1. seed := fromHex("5C624FCC1862452452D0") μ := fromHex("2ad1c72bb0fcbe28099c" + "19327fa57818ee4e3718") skHash := fromHex("29374951cb2bc3cda731") sigHash := fromHex("dcc71a421bc6ffafb7df") for b.Loop() { priv, err := NewPrivateKey44(seed) if err != nil { b.Fatalf("NewPrivateKey:...
    Created: Tue Apr 07 11:13:11 GMT 2026
    - Last Modified: Thu Jan 08 17:58:32 GMT 2026
    - 660.3K bytes
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  2. CHANGELOG/CHANGELOG-1.19.md

    - Kubeadm now distinguishes between generated and user supplied component configs, regenerating the former ones if a config upgrade is required ([#86070](https://github.com/kubernetes/kubernetes/pull/86070), [@rosti](https://github.com/rosti)) [SIG Cluster Lifecycle]
    Created: Fri Apr 03 09:05:14 GMT 2026
    - Last Modified: Wed Jan 05 05:42:32 GMT 2022
    - 489.7K bytes
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  3. RELEASE.md

                calling this op is typically not necessary, as it is automatically
                used when computing the gradient of `tf.sparse.segment_sum`.
        *   Renaming of tensorflow::int64 to int_64_t in numerous places (the former
            is an alias for the latter) which could result in needing to regenerate
            selective op registration headers else execution would fail with
            unregistered kernels error.
    
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Mon Mar 30 18:31:38 GMT 2026
    - 746.5K bytes
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