for (int i = end - 1; i >= start; i--) {
      if (array[i] == target) {
        return i;
      }
    }
    return -1;
  }

  /**
   * Returns the values from each provided array combined into a single array. For example, {@code
   * concat(new boolean[] {a, b}, new boolean[] {}, new boolean[] {c}} returns the array {@code {a,
   * b, c}}.
   *

**NOTE**: When configuring multiple OpenID based authentication providers on a MinIO cluster, any number of Role Policy based providers may be configured, and at most one JWT Claim based provider may be configured.

<details><summary>Example 1: Two role policy providers</summary>

Sample environment variables:

```
MINIO_IDENTITY_OPENID_DISPLAY_NAME="my first openid"

	if openIDServer == "" || openIDServer2 == "" {
		t.Skip("Skipping OpenID test as enough OpenID servers are not provided.")
	}
	testApps := testClientApps

	rolePolicies := []string{
		"", // Treated as claim-based provider as no role policy is given.
		"", // Treated as claim-based provider as no role policy is given.
	}

	for i, testCase := range iamTestSuites {
		t.Run(

  public static <T> T reserialize(T object) {
    return Platform.reserialize(object);
  }

  /**
   * Serializes and deserializes the specified object and verifies that the re-serialized object is
   * equal to the provided object, that the hashcodes are identical, and that the class of the
   * re-serialized object is identical to that of the original.
   *
   * <p><b>GWT warning:</b> Under GWT, this method simply returns its input, as proper GWT

 * change the behavior of {@link #equals}, which can lead to unexpected behavior. In this case, you
 * should override {@code equals} as well, either providing your own implementation, or delegating
 * to the provided {@code standardEquals} method.
 *
 * <p>Each of the {@code standard} methods, where appropriate, use {@link Objects#equals} to test
 * equality for both keys and values. This may not be the desired behavior for map implementations

 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * 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

 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * 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

}

func newProgressReader(rc io.ReadCloser, compType CompressionType) (*progressReader, error) {
	if rc == nil {
		return nil, errors.New("newProgressReader: nil reader provided")
	}
	scannedReader := newCountUpReader(rc)
	pr := progressReader{
		rc:            rc,
		scannedReader: scannedReader,
	}
	var r io.Reader

	switch compType {
	case noneType:

 * whose edges have associated non-unique values.
 *
 * <p>A graph is composed of a set of nodes and a set of edges connecting pairs of nodes.
 *
 * <p>There are three primary interfaces provided to represent graphs. In order of increasing
 * complexity they are: {@link Graph}, {@link ValueGraph}, and {@link Network}. You should generally
 * prefer the simplest interface that satisfies your use case. See the <a

  /**
   * Returns a new {@link ByteSink} for writing bytes to the given file. The given {@code modes}
   * control how the file is opened for writing. When no mode is provided, the file will be
   * truncated before writing. When the {@link FileWriteMode#APPEND APPEND} mode is provided, writes
   * will append to the end of the file without truncating it.
   *
   * @since 14.0
   */