# coding: utf-8
from enum import Enum
from six import string_types, iteritems
from bitmovin_api_sdk.common.poscheck import poscheck_model
import pprint
import six
[docs]
class AiSceneAnalysisRegulatoryAdvisories(object):
@poscheck_model
def __init__(self,
topics=None):
# type: (list[RegulatoryAdvisoryTopic]) -> None
self._topics = list()
self.discriminator = None
if topics is not None:
self.topics = topics
@property
def openapi_types(self):
types = {
'topics': 'list[RegulatoryAdvisoryTopic]'
}
return types
@property
def attribute_map(self):
attributes = {
'topics': 'topics'
}
return attributes
@property
def topics(self):
# type: () -> list[RegulatoryAdvisoryTopic]
"""Gets the topics of this AiSceneAnalysisRegulatoryAdvisories.
The regulatory advisory topics to screen the asset for. At least one topic must be set. (required)
:return: The topics of this AiSceneAnalysisRegulatoryAdvisories.
:rtype: list[RegulatoryAdvisoryTopic]
"""
return self._topics
@topics.setter
def topics(self, topics):
# type: (list) -> None
"""Sets the topics of this AiSceneAnalysisRegulatoryAdvisories.
The regulatory advisory topics to screen the asset for. At least one topic must be set. (required)
:param topics: The topics of this AiSceneAnalysisRegulatoryAdvisories.
:type: list[RegulatoryAdvisoryTopic]
"""
if topics is not None:
if not isinstance(topics, list):
raise TypeError("Invalid type for `topics`, type has to be `list[RegulatoryAdvisoryTopic]`")
self._topics = topics
[docs]
def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.openapi_types):
value = getattr(self, attr)
if value is None:
continue
if isinstance(value, list):
if len(value) == 0:
continue
result[self.attribute_map.get(attr)] = [y.value if isinstance(y, Enum) else y for y in [x.to_dict() if hasattr(x, "to_dict") else x for x in value]]
elif hasattr(value, "to_dict"):
result[self.attribute_map.get(attr)] = value.to_dict()
elif isinstance(value, Enum):
result[self.attribute_map.get(attr)] = value.value
elif isinstance(value, dict):
result[self.attribute_map.get(attr)] = {k: (v.to_dict() if hasattr(v, "to_dict") else v) for (k, v) in value.items()}
else:
result[self.attribute_map.get(attr)] = value
return result
[docs]
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, AiSceneAnalysisRegulatoryAdvisories):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other