*   The `TextVectorization` layer now accounts for the mask_token as part of
        the vocabulary size when output_mode='int'. This means that, if you have
        a max_tokens value of 5000, your output will have 5000 unique values
        (not 5001 as before).
    *   Change the return value of `TextVectorization.get_vocabulary()` from
        `byte` to `string`. Users who previously were calling 'decode' on the

* 🔧 Restore MkDocs Material pin after the fix. PR [#10001](https://github.com/tiangolo/fastapi/pull/10001) by [@tiangolo](https://github.com/tiangolo).
* 🔧 Update the Question template to ask for the Pydantic version. PR [#10000](https://github.com/tiangolo/fastapi/pull/10000) by [@tiangolo](https://github.com/tiangolo).

(m)) == yes } err := quick.Check(f, &quick.Config{}) if err != nil { t.Error(err) } } func TestExpand(t *testing.T) { sliced := []uint{1, 2, 3, 4} examples := []struct { in []uint n int out []uint }{{ []uint{1, 2}, 4, []uint{1, 2, 0, 0}, }, { sliced[:2], 4, []uint{1, 2, 0, 0}, }, { []uint{1, 2}, 2, []uint{1, 2}, }} for i, tt := range examples { got := (&Nat{tt.in}).expand(tt.n) if len(got.limbs) != len(tt.out) || got.Equal(&Nat{tt.out}) != 1 { t.Errorf("%d: got %v, expected %v", i, got, tt.out) }...

(m)) == yes } err := quick.Check(f, &quick.Config{}) if err != nil { t.Error(err) } } func TestExpand(t *testing.T) { sliced := []uint{1, 2, 3, 4} examples := []struct { in []uint n int out []uint }{{ []uint{1, 2}, 4, []uint{1, 2, 0, 0}, }, { sliced[:2], 4, []uint{1, 2, 0, 0}, }, { []uint{1, 2}, 2, []uint{1, 2}, }} for i, tt := range examples { got := (&Nat{tt.in}).expand(tt.n) if len(got.limbs) != len(tt.out) || got.Equal(&Nat{tt.out}) != 1 { t.Errorf("%d: got %v, expected %v", i, got, tt.out) }...