def my_fun(x):
     print("This always executes eagerly.")
     return x+1
   ```

* `tf.lite`
    * Strided_Slice now supports `UINT32`.

* `tf.config.experimental.enable_tensor_float_32_execution`

* ✨ Update `ORJSONResponse` to support non `str` keys and serializing Numpy arrays. PR [#3892](https://github.com/tiangolo/fastapi/pull/3892) by [@baby5](https://github.com/baby5).

### Fixes

must have the same announced length. // //go:norace func (x *Nat) maybeSubtractModulus(always choice, m *Modulus) { t := NewNat().set(x) underflow := t.sub(m.nat) // We keep the result if x - m didn't underflow (meaning x >= m) // or if always was set. keep := not(choice(underflow)) | choice(always) x.assign(keep, t) } // Sub computes x = x - y mod m. // // The length of both operands must be the same as the modulus. Both operands // must already be reduced modulo m. // //go:norace func (x *Nat) Sub(y...

must have the same announced length. // //go:norace func (x *Nat) maybeSubtractModulus(always choice, m *Modulus) { t := NewNat().set(x) underflow := t.sub(m.nat) // We keep the result if x - m didn't underflow (meaning x >= m) // or if always was set. keep := not(choice(underflow)) | choice(always) x.assign(keep, t) } // Sub computes x = x - y mod m. // // The length of both operands must be the same as the modulus. Both operands // must already be reduced modulo m. // //go:norace func (x *Nat) Sub(y...