page.user.max.fetch.size=1000
# Maximum number of role records to fetch per page.
page.role.max.fetch.size=1000
# Maximum number of group records to fetch per page.
page.group.max.fetch.size=1000
# Maximum number of crawling info parameters to fetch per page.
page.crawling.info.param.max.fetch.size=100
# Maximum number of crawling info records to fetch per page.
page.crawling.info.max.fetch.size=1000

  EXPECT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  // Fetch and see that the new value is returned.
  TF_GraphGetTensorShape(graph, feed_out_0, returned_dims, num_dims, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  EXPECT_EQ(2, num_dims);
  EXPECT_EQ(2, returned_dims[0]);
  EXPECT_EQ(3, returned_dims[1]);

  // Try to fetch a shape with the wrong num_dims

	erasure, err := NewErasure(ctx, fi.Erasure.DataBlocks, fi.Erasure.ParityBlocks, fi.Erasure.BlockSize)
	if err != nil {
		return ObjectInfo{}, toObjectErr(err, minioMetaBucket, key)
	}

	// Fetch buffer for I/O, returns from the pool if not allocates a new one and returns.
	var buffer []byte
	switch size := data.Size(); {
	case size == 0:
		buffer = make([]byte, 1) // Allocate at least a byte to reach EOF

   * <p>Usage example:
   *
   * {@snippet :
   * ListenableFuture<Integer> fetchCounterFuture = ...;
   *
   * // Falling back to a zero counter in case an exception happens when
   * // processing the RPC to fetch counters.
   * ListenableFuture<Integer> faultTolerantFuture = Futures.catching(
   *     fetchCounterFuture, FetchException.class, x -> 0, directExecutor());
   * }
   *

// to enable InsecureSkipVerify in TLS config

// Starts the test server and returns the TestServer with TLS configured instance.
func StartTestTLSServer(t TestErrHandler, instanceType string, cert, key []byte) TestServer {
	// Fetch TLS key and pem files from test-data/ directory.
	//	dir, _ := os.Getwd()
	//	testDataDir := filepath.Join(filepath.Dir(dir), "test-data")
	//
	//	pemFile := filepath.Join(testDataDir, "server.pem")

import org.lastaflute.web.ruts.process.ActionRuntime;
import org.lastaflute.web.util.LaRequestUtil;
import org.lastaflute.web.util.LaServletContextUtil;
import org.opensearch.core.common.text.Text;
import org.opensearch.search.fetch.subphase.highlight.HighlightField;

import com.github.jknack.handlebars.Context;
import com.github.jknack.handlebars.Handlebars;
import com.github.jknack.handlebars.Template;

// operation, we fetch this info from storage, and refresh the cache as well.
func (store *IAMStoreSys) ListGroups(ctx context.Context) (res []string, err error) {
	cache := store.lock()
	defer store.unlock()

	return store.updateGroups(ctx, cache)
}

// listGroups - lists groups - fetch groups from cache

		rd, wr := isAllowedAccess(bucket.Name)
		if rd || wr {
			// Fetch the data usage of the current bucket
			bui := globalBucketQuotaSys.GetBucketUsageInfo(ctx, bucket.Name)
			size := bui.Size
			objectsCount := bui.ObjectsCount
			objectsHist := bui.ObjectSizesHistogram
			versionsHist := bui.ObjectVersionsHistogram

			// Fetch the prefix usage of the current bucket
			var prefixUsage map[string]uint64

		Users:    make(map[string]set.StringSet),
		Groups:   set.CreateStringSet(q.Groups...),
		Policies: set.CreateStringSet(q.Policy...),
	}

	if ldap {
		// Validate and normalize users, then fetch and normalize their groups
		// Also include unvalidated users for backward compatibility.
		for _, user := range q.Users {
			lookupRes, actualGroups, _ := sys.LDAPConfig.GetValidatedDNWithGroups(user)

		// Optimization for Spark/Hadoop workload where spark sends a garbage
		// request of this kind
		//
		// GET /testbucket/?list-type=2&delimiter=%2F&max-keys=2&prefix=parquet%2F_SUCCESS%2F&fetch-owner=false
		//
		// Here spark is expecting that the List() return empty instead, so from MinIO's point
		// of view if we simply do a GetObjectInfo() on this prefix by treating it as an object