157 lines
3.7 KiB
Python
157 lines
3.7 KiB
Python
# coding: utf-8
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import pprint
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import re
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import six
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class MetaData(object):
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"""
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Attributes:
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openapi_types (dict): The key is attribute name
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and the value is attribute type.
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attribute_map (dict): The key is attribute name
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and the value is json key in definition.
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"""
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sensitive_list = []
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openapi_types = {
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'count': 'int',
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'total': 'int',
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'marker': 'str'
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}
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attribute_map = {
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'count': 'count',
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'total': 'total',
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'marker': 'marker'
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}
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def __init__(self, count=None, total=None, marker=None): # noqa: E501
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"""MetaData - a model defined in huaweicloud sdk"""
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self._count = None
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self._total = None
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self._marker = None
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self.discriminator = None
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self.count = count
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self.total = total
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self.marker = marker
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@property
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def count(self):
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"""Gets the count of this MetaData.
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当前返回结果条数。
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:return: The count of this MetaData.
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:rtype: int
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"""
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return self._count
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@count.setter
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def count(self, count):
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"""Sets the count of this MetaData.
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当前返回结果条数。
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:param count: The count of this MetaData.
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:type: int
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"""
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self._count = count
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@property
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def total(self):
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"""Gets the total of this MetaData.
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总条数。
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:return: The total of this MetaData.
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:rtype: int
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"""
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return self._total
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@total.setter
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def total(self, total):
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"""Sets the total of this MetaData.
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总条数。
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:param total: The total of this MetaData.
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:type: int
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"""
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self._total = total
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@property
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def marker(self):
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"""Gets the marker of this MetaData.
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下一个开始的标记，用于分页。
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:return: The marker of this MetaData.
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:rtype: str
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"""
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return self._marker
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@marker.setter
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def marker(self, marker):
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"""Sets the marker of this MetaData.
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下一个开始的标记，用于分页。
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:param marker: The marker of this MetaData.
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:type: str
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"""
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self._marker = marker
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def to_dict(self):
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"""Returns the model properties as a dict"""
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result = {}
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for attr, _ in six.iteritems(self.openapi_types):
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value = getattr(self, attr)
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if isinstance(value, list):
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result[attr] = list(map(
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lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
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value
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))
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elif hasattr(value, "to_dict"):
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result[attr] = value.to_dict()
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elif isinstance(value, dict):
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result[attr] = dict(map(
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lambda item: (item[0], item[1].to_dict())
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if hasattr(item[1], "to_dict") else item,
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value.items()
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))
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else:
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if attr in self.sensitive_list:
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result[attr] = "****"
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else:
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result[attr] = value
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return result
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def to_str(self):
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"""Returns the string representation of the model"""
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return pprint.pformat(self.to_dict())
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def __repr__(self):
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"""For `print` and `pprint`"""
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return self.to_str()
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def __eq__(self, other):
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"""Returns true if both objects are equal"""
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if not isinstance(other, MetaData):
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return False
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return self.__dict__ == other.__dict__
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def __ne__(self, other):
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"""Returns true if both objects are not equal"""
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return not self == other
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