* that gets messy here, and we already have null tests for Range.
   */

  /*
   * These generators also rely on consecutive integer inputs (not necessarily in order, but no
   * holes).
   */

  // SetCreationTester has some tests that pass in duplicates. Dedup them.
  private static <E extends Comparable<? super E>> SortedSet<E> nullCheckedTreeSet(E[] elements) {
    SortedSet<E> set = newTreeSet();

			h.Reset()
			h.Write([]byte(provCfg.ClientSecret))
			hashedSecret = base64.RawURLEncoding.EncodeToString(h.Sum(nil))
		}
		if arn != DummyRoleARN {
			if res.Roles == nil {
				res.Roles = make(map[string]madmin.OpenIDProviderSettings)
			}
			res.Roles[arn.String()] = madmin.OpenIDProviderSettings{
				ClaimUserinfoEnabled: provCfg.ClaimUserinfo,
				RolePolicy:           provCfg.RolePolicy,

   * that gets messy here, and we already have null tests for Range.
   */

  /*
   * These generators also rely on consecutive integer inputs (not necessarily in order, but no
   * holes).
   */

  // SetCreationTester has some tests that pass in duplicates. Dedup them.
  private static <E extends Comparable<? super E>> SortedSet<E> nullCheckedTreeSet(E[] elements) {
    SortedSet<E> set = newTreeSet();

// deals with sparseDatas.
//
// However, the external API uses sparseHoles instead of sparseDatas because the
// zero value of sparseHoles logically represents a normal file (i.e., there are
// no holes in it). On the other hand, the zero value of sparseDatas implies
// that the file has no data in it, which is rather odd.
//
// As an example, if the underlying raw file contains the 10-byte data:
//

            result.setRegisteredAddress(DfTypeUtil.toString(source.get("registeredAddress")));
            result.setRoles(toStringArray(source.get("roles")));
            result.setRoomNumber(DfTypeUtil.toString(source.get("roomNumber")));
            result.setState(DfTypeUtil.toString(source.get("state")));
            result.setStreet(DfTypeUtil.toString(source.get("street")));

            result.setRequestedAt(toLocalDateTime(source.get("requestedAt")));
            result.setResponseTime(DfTypeUtil.toLong(source.get("responseTime")));
            result.setRoles(toStringArray(source.get("roles")));
            result.setSearchWord(DfTypeUtil.toString(source.get("searchWord")));
            result.setUser(DfTypeUtil.toString(source.get("user")));
            result.setUserAgent(DfTypeUtil.toString(source.get("userAgent")));

      <name>Kevin Bourrillion</name>
      <email>******@****.***</email>
      <organization>Google</organization>
      <organizationUrl>http://www.google.com</organizationUrl>
      <roles>
        <role>owner</role>
        <role>developer</role>
      </roles>
      <timezone>-8</timezone>
    </developer>
  </developers>
  <ciManagement>
    <system>GitHub Actions</system>
    <url>https://github.com/google/guava/actions</url>

            <organization>JUnit</organization>
            <email>******@****.***</email>
            <url>https://github.com/junit-team/junit4/graphs/contributors</url>
            <roles>
                <role>developers</role>
            </roles>
        </contributor>
    </contributors>

    <prerequisites>
        <maven>3.0.4</maven>
    </prerequisites>

    <scm>

   * fraction {@code sqrt(1/(R*R) - 1)} of the population standard deviation of {@code x}. This fit
   * does not normally minimize that error: to do that, you should swap the roles of {@code x} and
   * {@code y}.
   *
   * <h3>Non-finite values</h3>
   *
   * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link

   * fraction {@code sqrt(1/(R*R) - 1)} of the population standard deviation of {@code x}. This fit
   * does not normally minimize that error: to do that, you should swap the roles of {@code x} and
   * {@code y}.
   *
   * <h3>Non-finite values</h3>
   *
   * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link