if (append) {
                    this.fp = fh.getInitialSize();
                }
                init(th);
                if (!append && this.smb2) {
                    // no open option for truncating, need to truncate the file
                    final Smb2SetInfoRequest treq = new Smb2SetInfoRequest(th.getConfig(), fh.getFileId());
                    treq.setFileInformation(new FileEndOfFileInformation(0));

	if !o.Versioned {
		resolver.requestedVersions = 1
	}
	var limit int
	if o.Limit > 0 && o.StopDiskAtLimit {
		// Over-read by 4 + 1 for every 16 in limit to give some space for resolver,
		// allow for truncating the list and know if we have more results.
		limit = o.Limit + 4 + (o.Limit / 16)
	}
	ctxDone := ctx.Done()
	return listPathRaw(ctx, listPathRawOptions{
		disks:         disks,
		fallbackDisks: fallbackDisks,

     * @throws CIFSException if an error occurs accessing the resource
     */
    OutputStream openOutputStream(boolean append) throws CIFSException;

    /**
     * Opens an output stream writing to the file (truncating, write only, sharable)
     *
     * @return output stream, needs to be closed when finished
     * @throws CIFSException if an error occurs accessing the resource
     */

				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]

* ⬆ [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__`