import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;

    execution time and the sharding
    [could create an overhead on the test execution](https://github.com/bazelbuild/bazel/issues/2113#issuecomment-264054799).

2.  Using [Docker](https://www.docker.com) and TensorFlow's CI scripts.

    ```bash
    # Install Docker first, then this will build and run cpu tests
    tensorflow/tools/ci_build/ci_build.sh CPU bazel test //tensorflow/...
    ```

    See

	// Therefore, find the first bucket that holds the counter for
	// requests with a latency at least as large as the given request
	// latency and update its and all subsequent counters.
	bucket := slices.IndexFunc(k.latencyBuckets, func(b time.Duration) bool { return latency < b })
	if bucket < 0 {
		bucket = len(k.latencyBuckets) - 1
	}
	for i := bucket; i < len(k.latency); i++ {
		k.latency[i].Add(1)
	}

          path: testing/architecture-test/build/reports/binary-compatibility/report.html

  unit-test:
    name: "${{ matrix.bucket.name }} (Unit Test)"
    permissions:
      contents: read
    runs-on: ubuntu-latest
    needs: build
    strategy:
      matrix:
        bucket: ${{ fromJson(needs.build.outputs.matrix) }}
      fail-fast: false
    steps:
      - name: git clone
        uses: actions/checkout@v6

import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;

				//
				// All other `<bucket>.<namespace>.svc.<cluster_domain>`
				// makes sure that buckets are routed through this matcher
				// to match for `<bucket>`
				return host != minioReservedBucket+"."+domainName
			}).Host("{bucket:.+}."+domainName).Subrouter())
		} else {
			routers = append(routers, apiRouter.Host("{bucket:.+}."+domainName).Subrouter())
		}
	}

	ctx      context.Context // request context
	lastErr  error           // last error reported, if this non-nil all reads will fail.
	m        *Monitor
	opts     *MonitorReaderOptions
}

// BucketOptions represents the bucket and optionally its replication target pair.
type BucketOptions struct {
	Name           string
	ReplicationARN string // This is optional, and not mandatory.
}

                testProjectScenarioDurationsFallback,
                performanceTestCoverage.numberOfBuckets,
            )
        return buckets.mapIndexed { bucketIndex: Int, bucket: PerformanceTestBucket ->
            bucket.createPerformanceTestsFor(model, stage, performanceTestCoverage, bucketIndex)
        }
    }

import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;

}

func newBitrotReader(disk StorageAPI, data []byte, bucket string, filePath string, tillOffset int64, algo BitrotAlgorithm, sum []byte, shardSize int64) io.ReaderAt {
	if algo == HighwayHash256S {
		return newStreamingBitrotReader(disk, data, bucket, filePath, tillOffset, algo, shardSize)
	}
	return newWholeBitrotReader(disk, bucket, filePath, algo, tillOffset, sum)
}

// Close all the readers.