]
  }
 ]
}`, bucket)
	err = s.adm.AddCannedPolicy(ctx, policy, policyBytes)
	if err != nil {
		c.Fatalf("policy add error: %v", err)
	}

	userCount := 50
	accessKeys := make([]string, userCount)
	secretKeys := make([]string, userCount)
	for i := range userCount {
		accessKey, secretKey := mustGenerateCredentials(c)
		err = s.adm.SetUser(ctx, accessKey, secretKey, madmin.AccountEnabled)
		if err != nil {

// It should never be used directly since buckets are
// distributed deterministically.
// Therefore no cluster locks are required.
var localMetacacheMgr = &metacacheManager{
	buckets: make(map[string]*bucketMetacache),
	trash:   make(map[string]metacache),
}

type metacacheManager struct {
	mu      sync.RWMutex
	init    sync.Once
	buckets map[string]*bucketMetacache
	trash   map[string]metacache // Recently deleted lists.

	./all.bash

To run tests on the Android device, add the bin directory to PATH so the
go tool can find the go_android_$GOARCH_exec wrapper generated by
make.bash. For example, to run the go1 benchmarks

	export PATH=$GOROOT/bin:$PATH
	cd $GOROOT/test/bench/go1/

If you open a GitHub Issue, here is our policy:

1.  It must be a bug/performance issue or a feature request or a build issue or
    a documentation issue (for small doc fixes please send a PR instead).
1.  Make sure the Issue Template is filled out.
1.  The issue should be related to the repo it is created in.

**Here's why we have this policy:** We want to focus on the work that benefits
the whole community, e.g., fixing bugs and adding features. Individual support

				t.Fatal(err)
			}
			bucket := "bucket"
			object := "object"

			data := make([]byte, test.dataSize)
			_, err = rand.Read(data)
			if err != nil {
				t.Fatal(err)
			}
			var opts ObjectOptions

			err = obj.MakeBucket(ctx, bucket, MakeBucketOptions{})
			if err != nil {
				t.Fatalf("Failed to make a bucket - %v", err)
			}

			_, err = obj.PutObject(ctx, bucket, object,

 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs
 * quickly, since the row key is provided. However, {@code column(columnKey).size()} takes longer,
 * since an iteration across all row keys occurs.
 *
 * <p>Note that this implementation is not synchronized. If multiple threads access this table

 * good" reference implementation. In order to accomplish this, it's important to test a great
 * variety of sequences of the {@link Iterator#next}, {@link Iterator#hasNext} and {@link
 * Iterator#remove} operations. This utility takes the brute-force approach of trying <i>all</i>
 * possible sequences of these operations, up to a given number of steps. So, if the caller
 * specifies to use <i>n</i> steps, a total of <i>3^n</i> tests are actually performed.
 *

 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs
 * quickly, since the row key is provided. However, {@code column(columnKey).size()} takes longer,
 * since an iteration across all row keys occurs.
 *
 * <p>Note that this implementation is not synchronized. If multiple threads access this table

		quotaConfig: &madmin.BucketQuota{},
		versioningConfig: &versioning.Versioning{
			XMLNS: "http://s3.amazonaws.com/doc/2006-03-01/",
		},
		bucketTargetConfig:     &madmin.BucketTargets{},
		bucketTargetConfigMeta: make(map[string]string),
	}
}

// Return the last update of this bucket metadata, which
// means, the last update of any policy document.
func (b BucketMetadata) lastUpdate() (t time.Time) {

2.  Pull requests are great for small fixes for bugs, documentation, etc.
3.  Pull requests are not merged directly into the master branch.
4.  Code contributions require signing a Google CLA.

API changes
-----------

We make changes to Guava's public [APIs][], including adding new APIs, very
carefully. Because of this, if you're interested in seeing a new feature in
Guava, the best approach is to create an [issue][] (or comment on an existing