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Copy pathaws_elasti_cache_discovery_method.py
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aws_elasti_cache_discovery_method.py
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# coding: utf-8
"""
LogicMonitor REST API
LogicMonitor is a SaaS-based performance monitoring platform that provides full visibility into complex, hybrid infrastructures, offering granular performance monitoring and actionable data and insights. logicmonitor_sdk enables you to manage your LogicMonitor account programmatically. <br> <br> Note: <ul> <li> For Python SDKs, the REQUEST parameters can contain camelCase or an underscore. </li> <li> Both underscore and camelCase are supported if parameters are encapsulated within the body. </li> <li> Only camelCase is supported if parameters are encapsulated within the body and also if the user is passing raw JSON as REQUEST parameter. However, the RESPONSE parameters always contain an underscore. For example, you can use testLocation or test_location in the REQUEST parameter. But the RESPONSE parameter will always be test_location. </li> <li> The fields parameter only supports camelCase. </li> </ul> # noqa: E501
OpenAPI spec version: 3.0.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
from logicmonitor_sdk.models.auto_discovery_method import AutoDiscoveryMethod # noqa: F401,E501
class AwsElastiCacheDiscoveryMethod(AutoDiscoveryMethod):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
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 = {
}
if hasattr(AutoDiscoveryMethod, "swagger_types"):
swagger_types.update(AutoDiscoveryMethod.swagger_types)
attribute_map = {
}
if hasattr(AutoDiscoveryMethod, "attribute_map"):
attribute_map.update(AutoDiscoveryMethod.attribute_map)
def __init__(self, *args, **kwargs): # noqa: E501
"""AwsElastiCacheDiscoveryMethod - a model defined in Swagger""" # noqa: E501
self.discriminator = None
AutoDiscoveryMethod.__init__(self, *args, **kwargs)
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(AwsElastiCacheDiscoveryMethod, 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, AwsElastiCacheDiscoveryMethod):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other