How to use the pandera.pandera.PandasDtype function in pandera

def _vectorized_check(self, parent_schema, check_index, check_obj):
        """Perform a vectorized check on a series.

        :param parent_schema: The schema object that is being checked and that
            was inherited from the parent class.
        :param check_index: The validator to check the series for
        :param dict check_obj: a dictionary of pd.Series to be used by
            `_check_fn` and `_vectorized_series_check`

        """
        val_result = self.fn(check_obj)
        if isinstance(val_result, pd.Series):
            if not val_result.dtype == PandasDtype.Bool.value:
                raise TypeError(
                    "validator %d: %s must return bool or Series of type "
                    "bool, found %s" %
                    (check_index, self.fn.__name__, val_result.dtype))
            if val_result.all():
                return True
            elif isinstance(check_obj, dict) or \
                    check_obj.shape[0] != val_result.shape[0] or \
                    (check_obj.index != val_result.index).all():
                raise SchemaError(
                    self.generic_error_message(parent_schema, check_index))
            else:
                raise SchemaError(self.vectorized_error_message(
                    parent_schema, check_index, check_obj[~val_result]))
        else:
            if val_result:

pass


class PandasDtype(Enum):
    Bool = "bool"
    DateTime = "datetime64[ns]"
    Category = "category"
    Float = "float64"
    Int = "int64"
    Object = "object"
    String = "object"
    Timedelta = "timedelta64[ns]"


Bool = PandasDtype.Bool
DateTime = PandasDtype.DateTime
Category = PandasDtype.Category
Float = PandasDtype.Float
Int = PandasDtype.Int
Object = PandasDtype.Object
String = PandasDtype.String
Timedelta = PandasDtype.Timedelta

N_FAILURE_CASES = 10


class Check(object):

    def __init__(
            self,
            fn,
            groups=None,

class PandasDtype(Enum):
    Bool = "bool"
    DateTime = "datetime64[ns]"
    Category = "category"
    Float = "float64"
    Int = "int64"
    Object = "object"
    String = "object"
    Timedelta = "timedelta64[ns]"


Bool = PandasDtype.Bool
DateTime = PandasDtype.DateTime
Category = PandasDtype.Category
Float = PandasDtype.Float
Int = PandasDtype.Int
Object = PandasDtype.Object
String = PandasDtype.String
Timedelta = PandasDtype.Timedelta

N_FAILURE_CASES = 10


class Check(object):

    def __init__(
            self,
            fn,
            groups=None,
            groupby=None,
            element_wise=False,
            error=None,

class PandasDtype(Enum):
    Bool = "bool"
    DateTime = "datetime64[ns]"
    Category = "category"
    Float = "float64"
    Int = "int64"
    Object = "object"
    String = "object"
    Timedelta = "timedelta64[ns]"


Bool = PandasDtype.Bool
DateTime = PandasDtype.DateTime
Category = PandasDtype.Category
Float = PandasDtype.Float
Int = PandasDtype.Int
Object = PandasDtype.Object
String = PandasDtype.String
Timedelta = PandasDtype.Timedelta

N_FAILURE_CASES = 10


class Check(object):

    def __init__(
            self,
            fn,
            groups=None,
            groupby=None,
            element_wise=False,

def __repr__(self):
        if isinstance(self._pandas_dtype, PandasDtype):
            dtype = self._pandas_dtype.value
        else:
            dtype = self._pandas_dtype
        return "" % (self._name, dtype)

Bool = "bool"
    DateTime = "datetime64[ns]"
    Category = "category"
    Float = "float64"
    Int = "int64"
    Object = "object"
    String = "object"
    Timedelta = "timedelta64[ns]"


Bool = PandasDtype.Bool
DateTime = PandasDtype.DateTime
Category = PandasDtype.Category
Float = PandasDtype.Float
Int = PandasDtype.Int
Object = PandasDtype.Object
String = PandasDtype.String
Timedelta = PandasDtype.Timedelta

N_FAILURE_CASES = 10


class Check(object):

    def __init__(
            self,
            fn,
            groups=None,
            groupby=None,
            element_wise=False,
            error=None,
            n_failure_cases=N_FAILURE_CASES):

Category = "category"
    Float = "float64"
    Int = "int64"
    Object = "object"
    String = "object"
    Timedelta = "timedelta64[ns]"


Bool = PandasDtype.Bool
DateTime = PandasDtype.DateTime
Category = PandasDtype.Category
Float = PandasDtype.Float
Int = PandasDtype.Int
Object = PandasDtype.Object
String = PandasDtype.String
Timedelta = PandasDtype.Timedelta

N_FAILURE_CASES = 10


class Check(object):

    def __init__(
            self,
            fn,
            groups=None,
            groupby=None,
            element_wise=False,
            error=None,
            n_failure_cases=N_FAILURE_CASES):
        """Check object applies function element-wise or series-wise

class PandasDtype(Enum):
    Bool = "bool"
    DateTime = "datetime64[ns]"
    Category = "category"
    Float = "float64"
    Int = "int64"
    Object = "object"
    String = "object"
    Timedelta = "timedelta64[ns]"


Bool = PandasDtype.Bool
DateTime = PandasDtype.DateTime
Category = PandasDtype.Category
Float = PandasDtype.Float
Int = PandasDtype.Int
Object = PandasDtype.Object
String = PandasDtype.String
Timedelta = PandasDtype.Timedelta

N_FAILURE_CASES = 10


class Check(object):

    def __init__(
            self,
            fn,
            groups=None,
            groupby=None,

DateTime = "datetime64[ns]"
    Category = "category"
    Float = "float64"
    Int = "int64"
    Object = "object"
    String = "object"
    Timedelta = "timedelta64[ns]"


Bool = PandasDtype.Bool
DateTime = PandasDtype.DateTime
Category = PandasDtype.Category
Float = PandasDtype.Float
Int = PandasDtype.Int
Object = PandasDtype.Object
String = PandasDtype.String
Timedelta = PandasDtype.Timedelta

N_FAILURE_CASES = 10


class Check(object):

    def __init__(
            self,
            fn,
            groups=None,
            groupby=None,
            element_wise=False,
            error=None,
            n_failure_cases=N_FAILURE_CASES):
        """Check object applies function element-wise or series-wise