138 lines
3.9 KiB
Python
138 lines
3.9 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 GenRandomRequestBody:
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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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'random_data_length': 'str',
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'sequence': 'str'
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}
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attribute_map = {
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'random_data_length': 'random_data_length',
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'sequence': 'sequence'
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}
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def __init__(self, random_data_length=None, sequence=None):
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"""GenRandomRequestBody - a model defined in huaweicloud sdk"""
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self._random_data_length = None
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self._sequence = None
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self.discriminator = None
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if random_data_length is not None:
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self.random_data_length = random_data_length
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if sequence is not None:
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self.sequence = sequence
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@property
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def random_data_length(self):
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"""Gets the random_data_length of this GenRandomRequestBody.
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随机数的bit位长度。 取值为8的倍数，取值范围为8~8192。 随机数的bit位长度，取值为“512”。
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:return: The random_data_length of this GenRandomRequestBody.
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:rtype: str
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"""
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return self._random_data_length
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@random_data_length.setter
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def random_data_length(self, random_data_length):
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"""Sets the random_data_length of this GenRandomRequestBody.
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随机数的bit位长度。 取值为8的倍数，取值范围为8~8192。 随机数的bit位长度，取值为“512”。
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:param random_data_length: The random_data_length of this GenRandomRequestBody.
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:type: str
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"""
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self._random_data_length = random_data_length
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@property
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def sequence(self):
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"""Gets the sequence of this GenRandomRequestBody.
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请求消息序列号，36字节序列号。 例如：919c82d4-8046-4722-9094-35c3c6524cff
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:return: The sequence of this GenRandomRequestBody.
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:rtype: str
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"""
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return self._sequence
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@sequence.setter
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def sequence(self, sequence):
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"""Sets the sequence of this GenRandomRequestBody.
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请求消息序列号，36字节序列号。 例如：919c82d4-8046-4722-9094-35c3c6524cff
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:param sequence: The sequence of this GenRandomRequestBody.
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:type: str
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"""
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self._sequence = sequence
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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, GenRandomRequestBody):
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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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