232 lines
6.7 KiB
Python
232 lines
6.7 KiB
Python
# coding: utf-8
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import six
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from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
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class DocumentVideoImageDetail:
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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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'time': 'float',
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'suggestion': 'str',
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'ocr_text': 'str',
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'label': 'str',
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'segments': 'list[DocumentVideoImageDetailSegments]'
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}
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attribute_map = {
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'time': 'time',
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'suggestion': 'suggestion',
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'ocr_text': 'ocr_text',
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'label': 'label',
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'segments': 'segments'
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}
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def __init__(self, time=None, suggestion=None, ocr_text=None, label=None, segments=None):
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"""DocumentVideoImageDetail
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The model defined in huaweicloud sdk
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:param time: 截帧在视频文件中的时间，单位为秒
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:type time: float
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:param suggestion: 截帧审核结果是否通过。 block：包含敏感信息，不通过 review：需要人工复检
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:type suggestion: str
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:param ocr_text: 截帧检测出的文本
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:type ocr_text: str
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:param label: 识别的详细标签
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:type label: str
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:param segments: 命中的文本风险片段列表
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:type segments: list[:class:`huaweicloudsdkmoderation.v3.DocumentVideoImageDetailSegments`]
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"""
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self._time = None
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self._suggestion = None
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self._ocr_text = None
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self._label = None
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self._segments = None
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self.discriminator = None
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if time is not None:
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self.time = time
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if suggestion is not None:
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self.suggestion = suggestion
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if ocr_text is not None:
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self.ocr_text = ocr_text
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if label is not None:
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self.label = label
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if segments is not None:
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self.segments = segments
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@property
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def time(self):
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"""Gets the time of this DocumentVideoImageDetail.
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截帧在视频文件中的时间，单位为秒
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:return: The time of this DocumentVideoImageDetail.
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:rtype: float
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"""
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return self._time
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@time.setter
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def time(self, time):
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"""Sets the time of this DocumentVideoImageDetail.
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截帧在视频文件中的时间，单位为秒
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:param time: The time of this DocumentVideoImageDetail.
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:type time: float
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"""
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self._time = time
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@property
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def suggestion(self):
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"""Gets the suggestion of this DocumentVideoImageDetail.
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截帧审核结果是否通过。 block：包含敏感信息，不通过 review：需要人工复检
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:return: The suggestion of this DocumentVideoImageDetail.
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:rtype: str
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"""
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return self._suggestion
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@suggestion.setter
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def suggestion(self, suggestion):
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"""Sets the suggestion of this DocumentVideoImageDetail.
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截帧审核结果是否通过。 block：包含敏感信息，不通过 review：需要人工复检
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:param suggestion: The suggestion of this DocumentVideoImageDetail.
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:type suggestion: str
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"""
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self._suggestion = suggestion
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@property
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def ocr_text(self):
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"""Gets the ocr_text of this DocumentVideoImageDetail.
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截帧检测出的文本
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:return: The ocr_text of this DocumentVideoImageDetail.
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:rtype: str
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"""
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return self._ocr_text
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@ocr_text.setter
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def ocr_text(self, ocr_text):
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"""Sets the ocr_text of this DocumentVideoImageDetail.
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截帧检测出的文本
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:param ocr_text: The ocr_text of this DocumentVideoImageDetail.
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:type ocr_text: str
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"""
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self._ocr_text = ocr_text
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@property
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def label(self):
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"""Gets the label of this DocumentVideoImageDetail.
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识别的详细标签
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:return: The label of this DocumentVideoImageDetail.
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:rtype: str
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"""
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return self._label
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@label.setter
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def label(self, label):
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"""Sets the label of this DocumentVideoImageDetail.
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识别的详细标签
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:param label: The label of this DocumentVideoImageDetail.
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:type label: str
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"""
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self._label = label
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@property
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def segments(self):
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"""Gets the segments of this DocumentVideoImageDetail.
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命中的文本风险片段列表
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:return: The segments of this DocumentVideoImageDetail.
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:rtype: list[:class:`huaweicloudsdkmoderation.v3.DocumentVideoImageDetailSegments`]
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"""
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return self._segments
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@segments.setter
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def segments(self, segments):
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"""Sets the segments of this DocumentVideoImageDetail.
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命中的文本风险片段列表
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:param segments: The segments of this DocumentVideoImageDetail.
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:type segments: list[:class:`huaweicloudsdkmoderation.v3.DocumentVideoImageDetailSegments`]
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"""
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self._segments = segments
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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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import simplejson as json
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if six.PY2:
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import sys
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reload(sys)
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sys.setdefaultencoding("utf-8")
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return json.dumps(sanitize_for_serialization(self), ensure_ascii=False)
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def __repr__(self):
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"""For `print`"""
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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, DocumentVideoImageDetail):
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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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