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  1. RELEASE.md

    *   Using .post1 instead of a full minor release allowed us to push this release
        out quickly. However, please note the following caveat:
        *   For users wishing to pin their Python dependency in a requirements file
            or other situation, under Python's version specification rules,
            `tensorflow[and-cuda]==2.15.0` will not install this fixed version.
            Please use `==2.15.0.post1` to specify this exact version on Linux
    Created: Tue Dec 30 12:39:10 GMT 2025
    - Last Modified: Tue Oct 28 22:27:41 GMT 2025
    - 740.4K bytes
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  2. docs/en/docs/release-notes.md

    ## 0.112.4
    
    This release is mainly a big internal refactor to enable adding support for Pydantic models for `Form` fields, but that feature comes in the next release.
    
    This release shouldn't affect apps using FastAPI in any way. You don't even have to upgrade to this version yet. It's just a checkpoint. 🤓
    
    ### Refactors
    
    Created: Sun Dec 28 07:19:09 GMT 2025
    - Last Modified: Sat Dec 27 19:06:15 GMT 2025
    - 586.7K bytes
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  3. lib/fips140/v1.0.0-c2097c7c.zip

    overwritten. // //go:norace func (out *Nat) Mod(x *Nat, m *Modulus) *Nat { out.resetFor(m) // Working our way from the most significant to the least significant limb, // we can insert each limb at the least significant position, shifting all // previous limbs left by _W. This way each limb will get shifted by the // correct number of bits. We can insert at least N - 1 limbs without // overflowing m. After that, we need to reduce every time we shift. i := len(x.limbs) - 1 // For the first N - 1 limbs...
    Created: Tue Dec 30 11:13:12 GMT 2025
    - Last Modified: Thu Sep 25 19:53:19 GMT 2025
    - 642.7K bytes
    - Click Count (0)
  4. lib/fips140/v1.1.0-rc1.zip

    overwritten. // //go:norace func (out *Nat) Mod(x *Nat, m *Modulus) *Nat { out.resetFor(m) // Working our way from the most significant to the least significant limb, // we can insert each limb at the least significant position, shifting all // previous limbs left by _W. This way each limb will get shifted by the // correct number of bits. We can insert at least N - 1 limbs without // overflowing m. After that, we need to reduce every time we shift. i := len(x.limbs) - 1 // For the first N - 1 limbs...
    Created: Tue Dec 30 11:13:12 GMT 2025
    - Last Modified: Thu Dec 11 16:27:41 GMT 2025
    - 663K bytes
    - Click Count (0)
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