defer func() {
		for _, r := range readers {
			r.Close()
		}
	}()
	for i := range disks {
		r, w := io.Pipe()
		// Make sure we close the pipe so blocked writes doesn't stay around.
		defer r.CloseWithError(context.Canceled)

		readers[i] = newMetacacheReader(r)
		d := disks[i]

		// Send request to each disk.
		go func() {
			var werr error
			if d == nil {

github.com/nats-io/nuid v1.0.1/go.mod h1:19wcPz3Ph3q0Jbyiqsd0kePYG7A95tJPxeL+1OSON2c=
github.com/nats-io/stan.go v0.10.2/go.mod h1:vo2ax8K2IxaR3JtEMLZRFKIdoK/3o1/PKueapB7ezX0=
github.com/nats-io/stan.go v0.10.4 h1:19GS/eD1SeQJaVkeM9EkvEYattnvnWrZ3wkSWSw4uXw=
github.com/nats-io/stan.go v0.10.4/go.mod h1:3XJXH8GagrGqajoO/9+HgPyKV5MWsv7S5ccdda+pc6k=
github.com/ncw/directio v1.0.5 h1:JSUBhdjEvVaJvOoyPAbcW0fnd0tvRXD76wEfZ1KcQz4=

</p>

<ul>
<li>
	Both type parameters are identical.
</li>
<li>
	At most one of the type parameters has a known type argument.
	In this case, the type parameters are <i>joined</i>:
	they both stand for the same type argument.
	If neither type parameter has a known type argument yet,
	a future type argument inferred for one the type parameters
	is simultaneously inferred for both of them.
</li>
<li>

    under `tf.keras.dtensor` in this release (refer to the `tf.keras` entry).
    The tutoral and guide for DTensor will be published on
    https://www.tensorflow.org/. Please stay tuned.

*   [oneDNN CPU performance optimizations](https://github.com/tensorflow/community/blob/master/rfcs/20210930-enable-onednn-ops.md)
    are available in Linux x86, Windows x86, and Linux aarch64 packages.

   See the License for the specific language governing permissions and
   limitations under the License.

================================================================

github.com/nats-io/stan.go
https://github.com/nats-io/stan.go
----------------------------------------------------------------
                                 Apache License
                           Version 2.0, January 2004