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  2. github.com/tensorflow/tensorflow

    RELEASE.md 

    * Introducing `tf.types.experimental.AtomicFunction` as the fastest way to perform TF computations in Python.

    * Can be accessed through `inference_fn` property of `ConcreteFunction`s
    Registered: Tue Dec 30 12:39:10 UTC 2025
    - Last Modified: Tue Oct 28 22:27:41 UTC 2025
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  3. github.com/kubernetes/kubernetes

    CHANGELOG/CHANGELOG-1.19.md 

      - `spec.backend` -> `spec.defaultBackend`
  - `serviceName` -> `service.name`
    Registered: Fri Dec 26 09:05:12 UTC 2025
    - Last Modified: Wed Jan 05 05:42:32 UTC 2022
    - 489.7K bytes
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  4. github.com/golang/go

    lib/fips140/v1.1.0-rc1.zip 

    v1.0.0" "crypto/internal/fips140" "crypto/internal/sysrand" "io" "sync" "sync/atomic" ) // memory is a scratch buffer that is accessed between samples by the entropy // source to expose it to memory access timings. // // We reuse it and share it between Seed calls to avoid the significant (~500µs) // cost of zeroing a new allocation every time. The entropy source accesses it // using atomics (and doesn't care about its contents). // // It should end up in the .noptrbss section, and become backed...
    Registered: Tue Dec 30 11:13:12 UTC 2025
    - Last Modified: Thu Dec 11 16:27:41 UTC 2025
    - 663K bytes
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