}
			}
			// Since there are cases for which ListObjects fails, this is
			// necessary. Test passes as expected, but the output values
			// are verified for correctness here.
			if err == nil && testCase.shouldPass {
				// The length of the expected ListObjectsResult.Objects
				// should match in both expected result from test cases
				// and in the output. On failure calling t.Fatalf,

    switch (mode) {
      case UNNECESSARY:
        checkRoundingUnnecessary(x == floorPow);
        // fall through
      case FLOOR:
      case DOWN:
        return logFloor;
      case CEILING:
      case UP:
        return logFloor + lessThanBranchFree(floorPow, x);
      case HALF_DOWN:
      case HALF_UP:
      case HALF_EVEN:

        switch (request.getPath()) {
            case "/v1/login/auth/":
                return new MockResponse().setResponseCode(200);
            case "/v1/check/version/":
                return new MockResponse().setResponseCode(200).setBody("version=9");
            case "/v1/profile/info":

 * static factory method. Neither are semantics of mutation methods such as {@code
 * someList.add(obj)} checked. For more detailed discussion of supported and unsupported cases, see
 * {@link #testEquals}, {@link #testNulls} and {@link #testSerializable}.
 *
 * <p>For testing against the returned instances from a static factory class, such as
 *
 * <pre>
 * interface Book {...}

func (e *FuncExpr) getFunctionName() FuncName {
	switch {
	case e.SFunc != nil:
		return FuncName(strings.ToUpper(e.SFunc.FunctionName))
	case e.Count != nil:
		return aggFnCount
	case e.Cast != nil:
		return sqlFnCast
	case e.Substring != nil:
		return sqlFnSubstring
	case e.Extract != nil:
		return sqlFnExtract
	case e.Trim != nil:
		return sqlFnTrim
	case e.DateAdd != nil:
		return sqlFnDateAdd
	case e.DateDiff != nil:

				}
				c.Audience, err = jsonparser.ParseString(value)
				return err
			}
		case 'e':
			if string(key) == "exp" {
				if dataType != jsonparser.Number {
					return errors.New("exp: Expected number")
				}
				c.ExpiresAt, err = jsonparser.ParseInt(value)
				return err
			}
		case 'i':
			if string(key) == "iat" {
				if dataType != jsonparser.Number {

    switch (mode) {
      case UNNECESSARY:
        checkRoundingUnnecessary(x == floorPow);
        // fall through
      case FLOOR:
      case DOWN:
        return logFloor;
      case CEILING:
      case UP:
        return logFloor + lessThanBranchFree(floorPow, x);
      case HALF_DOWN:
      case HALF_UP:
      case HALF_EVEN:

  transient volatile int busy;

  /** Package-private default constructor */
  Striped64() {}

  /** CASes the base field. */
  final boolean casBase(long cmp, long val) {
    return UNSAFE.compareAndSwapLong(this, baseOffset, cmp, val);
  }

  /** CASes the busy field from 0 to 1 to acquire lock. */
  final boolean casBusy() {
    return UNSAFE.compareAndSwapInt(this, busyOffset, 0, 1);
  }

## Dataclasses in Nested Data Structures

You can also combine `dataclasses` with other type annotations to make nested data structures.

In some cases, you might still have to use Pydantic's version of `dataclasses`. For example, if you have errors with the automatically generated API documentation.

In that case, you can simply swap the standard `dataclasses` with `pydantic.dataclasses`, which is a drop-in replacement:

		isValidBucketName := IsValidBucketName(testCase.bucketName)
		if testCase.shouldPass && !isValidBucketName {
			t.Errorf("Test case %d: Expected \"%s\" to be a valid bucket name", i+1, testCase.bucketName)
		}
		if !testCase.shouldPass && isValidBucketName {
			t.Errorf("Test case %d: Expected bucket name \"%s\" to be invalid", i+1, testCase.bucketName)
		}
	}
}

// Tests for validate object name.