much later). ([#122204](https://github.com/kubernetes/kubernetes/pull/122204), [@danwinship](https://github.com/danwinship))
- Fixed a regression in "kubeadm init" where a user-specified --kubeconfig file was being ignored. ([#122735](https://github.com/kubernetes/kubernetes/pull/122735), [@avorima](https://github.com/avorima))
- Fixed a regression in kubectl version `1.29.0` where the `--attach` flag was not honored.

- `kubeadm`: turned on feature gate `MergeCLIArgumentsWithConfig` to merge the config from flag and config file, otherwise, if the flag `--ignore-preflight-errors` is set from the CLI, then the value from config file will be ignored. ([#119946](https://github.com/kubernetes/kubernetes/pull/119946), [@chendave](https://github.com/chendave))

- Fixed computing backoff delay when using Job pod failure policy, by including in the backoff delay calculation pod failures ignored from the backoffLimit counter. ([#119434](https://github.com/kubernetes/kubernetes/pull/119434), [@mimowo](https://github.com/mimowo))

- Fix computing backoff delay when using Job pod failure policy, by including in the backoff delay calculation pod failures ignored from the backoffLimit counter.
  
  Also, compute the backoff delay more accurately for deleted pods. ([#119466](https://github.com/kubernetes/kubernetes/pull/119466), [@mimowo](https://github.com/mimowo)) [SIG Apps]

* 👷 Update build-docs GitHub Action path filter. PR [#11354](https://github.com/tiangolo/fastapi/pull/11354) by [@tiangolo](https://github.com/tiangolo).
* 🔧 Update Ruff config, add extra ignore rule from SQLModel. PR [#11353](https://github.com/tiangolo/fastapi/pull/11353) by [@tiangolo](https://github.com/tiangolo).

      // + For the SAME padding, we pad top/left side the same as bottom/right
      //   side.
      //
      // In addition, if the padded input size is smaller than the input size,
      // we need to ignore some training elements of the input. We do this by
      // applying negative padding on the right/bottom.
      const int64_t pad_before = padding == tensorflow::Padding::EXPLICIT

			// a[i] = v
			t := left.X.Type()
			n := t.NumElem()

			i := s.expr(left.Index) // index
			if n == 0 {
				// The bounds check must fail.  Might as well
				// ignore the actual index and just use zeros.
				z := s.constInt(types.Types[types.TINT], 0)
				s.boundsCheck(z, z, ssa.BoundsIndex, false)
				return
			}
			if n != 1 {