and newer CPUs.)
            *   [Example performance speedups.](https://medium.com/intel-analytics-software/leverage-intel-deep-learning-optimizations-in-tensorflow-129faa80ee07)
        *   For older CPUs, oneDNN optimizations are disabled by default.
    *   **Windows x86 package:** oneDNN optimizations are disabled by default.
    *   **Linux aach64 (`--config=mkl_aarch64`) package:**

## 0.100.1

### Fixes

* 🐛 Replace `MultHostUrl` to `AnyUrl` for compatibility with older versions of Pydantic v1. PR [#9852](https://github.com/tiangolo/fastapi/pull/9852) by [@Kludex](https://github.com/Kludex).

### Docs

nil { t.Fatal(err) } for _, shift := range []uint{1, 32, 64, 128, 1024 - 128, 1024 - 64, 1024 - 32, 1024 - 1} { testShift := func(t *testing.T, shift uint) { n := NewNat().setBig(nb) oldLen := len(n.limbs) n.ShiftRightVarTime(shift) if len(n.limbs) != oldLen { t.Errorf("len(n.limbs) = %d, want %d", len(n.limbs), oldLen) } exp := new(big.Int).Rsh(nb, shift) if n.asBig().Cmp(exp) != 0 { t.Errorf("%v != %v", n.asBig(), exp) } } t.Run(fmt.Sprint(shift-1), func(t *testing.T) { testShift(t, shift-1) }) ...

nil { t.Fatal(err) } for _, shift := range []uint{1, 32, 64, 128, 1024 - 128, 1024 - 64, 1024 - 32, 1024 - 1} { testShift := func(t *testing.T, shift uint) { n := NewNat().setBig(nb) oldLen := len(n.limbs) n.ShiftRightVarTime(shift) if len(n.limbs) != oldLen { t.Errorf("len(n.limbs) = %d, want %d", len(n.limbs), oldLen) } exp := new(big.Int).Rsh(nb, shift) if n.asBig().Cmp(exp) != 0 { t.Errorf("%v != %v", n.asBig(), exp) } } t.Run(fmt.Sprint(shift-1), func(t *testing.T) { testShift(t, shift-1) }) ...