lentiq.models.all_grouped_datasets module
# coding: utf-8 ####alex test """ """ import pprint import re # noqa: F401 import six from lentiq.models.all_datasets import AllDatasets # noqa: F401,E501 class AllGroupedDatasets(object): """ """ """ Attributes: swagger_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ swagger_types = { 'datalake_datasets': 'dict(str, AllDatasets)', 'public_datasets': 'AllDatasets' } attribute_map = { 'datalake_datasets': 'datalakeDatasets', 'public_datasets': 'publicDatasets' } discriminator = None def __init__(self, datalake_datasets=None, public_datasets=None): # noqa: E501 """AllGroupedDatasets - a model defined in Swagger""" # noqa: E501 self._datalake_datasets = None self._public_datasets = None if datalake_datasets is not None: self.datalake_datasets = datalake_datasets if public_datasets is not None: self.public_datasets = public_datasets @property def datalake_datasets(self): """Gets the datalake_datasets of this AllGroupedDatasets. # noqa: E501 :return: The datalake_datasets of this AllGroupedDatasets. # noqa: E501 :rtype: dict(str, AllDatasets) """ return self._datalake_datasets @datalake_datasets.setter def datalake_datasets(self, datalake_datasets): """Sets the datalake_datasets of this AllGroupedDatasets. :param datalake_datasets: The datalake_datasets of this AllGroupedDatasets. # noqa: E501 :type: dict(str, AllDatasets) """ self._datalake_datasets = datalake_datasets @property def public_datasets(self): """Gets the public_datasets of this AllGroupedDatasets. # noqa: E501 :return: The public_datasets of this AllGroupedDatasets. # noqa: E501 :rtype: AllDatasets """ return self._public_datasets @public_datasets.setter def public_datasets(self, public_datasets): """Sets the public_datasets of this AllGroupedDatasets. :param public_datasets: The public_datasets of this AllGroupedDatasets. # noqa: E501 :type: AllDatasets """ self._public_datasets = public_datasets def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value if issubclass(AllGroupedDatasets, dict): for key, value in self.items(): result[key] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, AllGroupedDatasets): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other
Classes
class AllGroupedDatasets
class AllGroupedDatasets(object): """ """ """ Attributes: swagger_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ swagger_types = { 'datalake_datasets': 'dict(str, AllDatasets)', 'public_datasets': 'AllDatasets' } attribute_map = { 'datalake_datasets': 'datalakeDatasets', 'public_datasets': 'publicDatasets' } discriminator = None def __init__(self, datalake_datasets=None, public_datasets=None): # noqa: E501 """AllGroupedDatasets - a model defined in Swagger""" # noqa: E501 self._datalake_datasets = None self._public_datasets = None if datalake_datasets is not None: self.datalake_datasets = datalake_datasets if public_datasets is not None: self.public_datasets = public_datasets @property def datalake_datasets(self): """Gets the datalake_datasets of this AllGroupedDatasets. # noqa: E501 :return: The datalake_datasets of this AllGroupedDatasets. # noqa: E501 :rtype: dict(str, AllDatasets) """ return self._datalake_datasets @datalake_datasets.setter def datalake_datasets(self, datalake_datasets): """Sets the datalake_datasets of this AllGroupedDatasets. :param datalake_datasets: The datalake_datasets of this AllGroupedDatasets. # noqa: E501 :type: dict(str, AllDatasets) """ self._datalake_datasets = datalake_datasets @property def public_datasets(self): """Gets the public_datasets of this AllGroupedDatasets. # noqa: E501 :return: The public_datasets of this AllGroupedDatasets. # noqa: E501 :rtype: AllDatasets """ return self._public_datasets @public_datasets.setter def public_datasets(self, public_datasets): """Sets the public_datasets of this AllGroupedDatasets. :param public_datasets: The public_datasets of this AllGroupedDatasets. # noqa: E501 :type: AllDatasets """ self._public_datasets = public_datasets def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value if issubclass(AllGroupedDatasets, dict): for key, value in self.items(): result[key] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, AllGroupedDatasets): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other
Ancestors (in MRO)
- AllGroupedDatasets
- builtins.object
Class variables
var attribute_map
var discriminator
var swagger_types
Static methods
def __init__(
self, datalake_datasets=None, public_datasets=None)
AllGroupedDatasets - a model defined in Swagger
def __init__(self, datalake_datasets=None, public_datasets=None): # noqa: E501 """AllGroupedDatasets - a model defined in Swagger""" # noqa: E501 self._datalake_datasets = None self._public_datasets = None if datalake_datasets is not None: self.datalake_datasets = datalake_datasets if public_datasets is not None: self.public_datasets = public_datasets
def to_dict(
self)
Returns the model properties as a dict
def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value if issubclass(AllGroupedDatasets, dict): for key, value in self.items(): result[key] = value return result
def to_str(
self)
Returns the string representation of the model
def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict())
Instance variables
var datalake_datasets
Gets the datalake_datasets of this AllGroupedDatasets. # noqa: E501
:return: The datalake_datasets of this AllGroupedDatasets. # noqa: E501 :rtype: dict(str, AllDatasets)
var public_datasets
Gets the public_datasets of this AllGroupedDatasets. # noqa: E501
:return: The public_datasets of this AllGroupedDatasets. # noqa: E501 :rtype: AllDatasets