fmt.Println("Could NOT reconstruct:", err)
			}
		}
	}
	if lastValid == 0 {
		return errors.New("no valid data found")
	}
	if missing > 0 {
		fmt.Println(missing, "bytes missing. Truncating", len(m.filled)-lastValid-1, "from end.")
		out += ".incomplete"
	} else {
		fmt.Println("No bytes missing.")
		out += ".complete"
	}
	m.mapped = m.mapped[:lastValid+1]

* [GCE] Enable by default audit logging truncating backend. ([#68342](https://github.com/kubernetes/kubernetes/pull/68342), [@loburm](https://github.com/loburm))

* [GCE] Enable by default audit logging truncating backend. ([#68288](https://github.com/kubernetes/kubernetes/pull/68288), [@loburm](https://github.com/loburm))

- GCE: Filter out spammy audit logs from cluster autoscaler. ([#70696](https://github.com/kubernetes/kubernetes/pull/70696), [@loburm](https://github.com/loburm))
- GCE: Enable by default audit logging truncating backend. ([#68288](https://github.com/kubernetes/kubernetes/pull/68288), [@loburm](https://github.com/loburm))

* Fixed cleanup of CSI metadata files. ([#65323](https://github.com/kubernetes/kubernetes/pull/65323), [@jsafrane](https://github.com/jsafrane))
* Fix an issue with dropped audit logs, when truncating and batch backends enabled at the same time. ([#65823](https://github.com/kubernetes/kubernetes/pull/65823), [@loburm](https://github.com/loburm))

* ⬆ [pre-commit.ci] pre-commit autoupdate. PR [#13823](https://github.com/fastapi/fastapi/pull/13823) by [@pre-commit-ci[bot]](https://github.com/apps/pre-commit-ci).

## 0.115.13

### Fixes

* 🐛 Fix truncating the model's description with form feed (`\f`) character for Pydantic V2. PR [#13698](https://github.com/fastapi/fastapi/pull/13698) by [@YuriiMotov](https://github.com/YuriiMotov).

### Refactors

    converted to Tensor by `tf.convert_to_tensor`.
*   Calling ops with a python constants or numpy values is now consistent with
    tf.convert_to_tensor behavior. This avoids operations like tf.reshape
    truncating inputs such as from int64 to int32.
*   Adds `tf.sparse.map_values` to apply a function to the `.value`s of
    `SparseTensor` arguments.
*   The Python bitwise operators for `Tensor` (`__and__`, `__or__`, `__xor__`