How to use the feast.types.Value_pb2.ValueType function in feast

def to_proto(self) -> EntityProto:
        """
        Converts Entity to its Protocol Buffer representation

        Returns:
            Returns EntitySpec object
        """
        value_type = ValueTypeProto.ValueType.Enum.Value(self.dtype.name)
        return EntityProto(name=self.name, value_type=value_type)

def to_proto(self) -> FeatureProto:
        """Converts Feature object to its Protocol Buffer representation"""
        value_type = ValueTypeProto.ValueType.Enum.Value(self.dtype.name)
        return FeatureProto(name=self.name, value_type=value_type)

"""

    # Mapping of PyArrow to attribute name in Feast ValueType
    type_map = {
        "timestamp[ms]": ProtoValueType.INT64,
        "int32": ProtoValueType.INT32,
        "int64": ProtoValueType.INT64,
        "double": ProtoValueType.DOUBLE,
        "float": ProtoValueType.FLOAT,
        "string": ProtoValueType.STRING,
        "binary": ProtoValueType.BYTES,
        "bool": ProtoValueType.BOOL,
        "list": ProtoValueType.INT32_LIST,
        "list": ProtoValueType.INT64_LIST,
        "list": ProtoValueType.DOUBLE_LIST,
        "list": ProtoValueType.FLOAT_LIST,
        "list": ProtoValueType.STRING_LIST,
        "list": ProtoValueType.BYTES_LIST,
        "list": ProtoValueType.BOOL_LIST,
    }
    return type_map[pa_type.__str__()]

"""
    Returns the equivalent Feast ValueType for the given pa.lib type.

    Args:
        pa_type (object):
            PyArrow type.

    Returns:
        feast.types.Value_pb2.ValueType:
            Feast ValueType.

    """

    # Mapping of PyArrow to attribute name in Feast ValueType
    type_map = {
        "timestamp[ms]": ProtoValueType.INT64,
        "int32": ProtoValueType.INT32,
        "int64": ProtoValueType.INT64,
        "double": ProtoValueType.DOUBLE,
        "float": ProtoValueType.FLOAT,
        "string": ProtoValueType.STRING,
        "binary": ProtoValueType.BYTES,
        "bool": ProtoValueType.BOOL,
        "list": ProtoValueType.INT32_LIST,
        "list": ProtoValueType.INT64_LIST,
        "list": ProtoValueType.DOUBLE_LIST,
        "list": ProtoValueType.FLOAT_LIST,
        "list": ProtoValueType.STRING_LIST,
        "list": ProtoValueType.BYTES_LIST,
        "list": ProtoValueType.BOOL_LIST,
    }
    return type_map[pa_type.__str__()]

def dtype_to_value_type(dtype):
    """Returns the equivalent feast valueType for the given dtype

    Args:
        dtype (pandas.dtype): pandas dtype

    Returns:
        feast.types.ValueType2.ValueType: equivalent feast valuetype
    """
    # mapping of pandas dtypes to feast value type strings
    type_map = {
        "float64": ValueType.DOUBLE,
        "float32": ValueType.FLOAT,
        "int64": ValueType.INT64,
        "uint64": ValueType.INT64,
        "int32": ValueType.INT32,
        "uint32": ValueType.INT32,
        "uint8": ValueType.INT32,
        "int8": ValueType.INT32,
        "bool": ValueType.BOOL,
        "timedelta": ValueType.INT64,
        "datetime64[ns]": ValueType.TIMESTAMP,
        "datetime64[ns, UTC]": ValueType.TIMESTAMP,
        "category": ValueType.STRING,
        "object": ValueType.STRING,
    }
    return type_map[dtype.__str__()]

def dtype_to_value_type(dtype):
    """Returns the equivalent feast valueType for the given dtype

    Args:
        dtype (pandas.dtype): pandas dtype

    Returns:
        feast.types.ValueType2.ValueType: equivalent feast valuetype
    """
    # mapping of pandas dtypes to feast value type strings
    type_map = {
        "float64": ValueType.DOUBLE,
        "float32": ValueType.FLOAT,
        "int64": ValueType.INT64,
        "uint64": ValueType.INT64,
        "int32": ValueType.INT32,
        "uint32": ValueType.INT32,
        "uint8": ValueType.INT32,
        "int8": ValueType.INT32,
        "bool": ValueType.BOOL,
        "timedelta": ValueType.INT64,
        "datetime64[ns]": ValueType.TIMESTAMP,
        "datetime64[ns, UTC]": ValueType.TIMESTAMP,
        "category": ValueType.STRING,
        "object": ValueType.STRING,
    }
    return type_map[dtype.__str__()]