stream(tags).of(stream -> stream.sorted().reduce((l, r) -> l + r).ifPresent(v -> buf.append(v)));
        buf.append(CACHE_KEY_SPLITTER);
        stream(roles).of(stream -> stream.sorted().reduce((l, r) -> l + r).ifPresent(v -> buf.append(v)));
        buf.append(CACHE_KEY_SPLITTER);
        stream(fields).of(stream -> stream.sorted().reduce((l, r) -> l + r).ifPresent(v -> buf.append(v)));

- Provide IPv6 support for internal load balancer. ([#103794](https://github.com/kubernetes/kubernetes/pull/103794), [@nilo19](https://github.com/nilo19))
- Reduce the number of calls to docker for stats via dockershim. For Windows this reduces the latency when calling docker, for Linux this saves cpu cycles. ([#104287](https://github.com/kubernetes/kubernetes/pull/104287), [@jsturtevant](https://github.com/jsturtevant)) [SIG Node and Windows]

      }
    },
    REDUCE_LAST {
      @Override
      Object operate(Stream<?> stream) {
        return stream.reduce((a, b) -> b);
      }
    },
    REDUCE_LAST_PARALLEL {
      @Override
      Object operate(Stream<?> stream) {
        return stream.parallel().reduce((a, b) -> b);
      }
    };

    abstract Object operate(Stream<?> stream);
  }

  @Param private Operation operation;

Doing this provides the following specific benefits:
- **Reduce the API surface** - We no longer need to maintain two methods.
- **Consistency** - All languages have consistent access to the same APIs and ergonomics in the DSL.
- **Reduce the size of the Gradle distribution** - We no longer need to carry multiple standard libraries for different languages.

## Decision

                      "cluster": "outbound|9080||productpage.default.svc.cluster.local",
                      "timeout": "0s",
                      "retry_policy": {
                        "retry_on": "connect-failure,refused-stream,unavailable,cancelled,retriable-status-codes",
                        "num_retries": 2,
                        "retry_host_predicate": [
                          {

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML

			"?Action=AssumeRoleWithLDAPIdentity&LDAPUsername=myusername&LDAPPassword=*REDACTED*&Version=2011-06-15",
		},
		{
			"LDAPPassword=can+youreadthis%3F&Version=2011-06-15&?Action=AssumeRoleWithLDAPIdentity&LDAPUsername=myusername",
			"LDAPPassword=*REDACTED*&Version=2011-06-15&?Action=AssumeRoleWithLDAPIdentity&LDAPUsername=myusername",
		},
		{

		c.CertificateAuthority = "REDACTED"
	}
	lrcfg, err := latest.Scheme.ConvertToVersion(kcfg, latest.ExternalVersion)
	if err != nil {
		return kubeconfig{}, err
	}
	redacted, err := yaml.Marshal(lrcfg)
	if err != nil {
		return kubeconfig{}, err
	}

	return kubeconfig{
		Full:     string(fullYaml),
		Redacted: string(redacted),
	}, nil
}

mapreduce.fileoutputcommitter.algorithm.version=2 # Use the latest committer version
mapreduce.job.reduce.slowstart.completedmaps=0.99 # 99% map, then reduce
mapreduce.reduce.shuffle.input.buffer.percent=0.9 # Min % buffer in RAM
mapreduce.reduce.shuffle.merge.percent=0.9 # Minimum % merges in RAM
mapreduce.reduce.speculative=false # Disable speculation for reducing
mapreduce.task.io.sort.factor=999 # Threshold before writing to disk

  `Sixteenth,' added the Dormouse.

  `Write that down,' the King said to the jury, and the jury
eagerly wrote down all three dates on their slates, and then
added them up, and reduced the answer to shillings and pence.

  `Take off your hat,' the King said to the Hatter.

  `It isn't mine,' said the Hatter.

  `Stolen!' the King exclaimed, turning to the jury, who