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Python _message.FieldDescriptor方法代码示例

本文整理汇总了Python中google.protobuf.pyext._message.FieldDescriptor方法的典型用法代码示例。如果您正苦于以下问题:Python _message.FieldDescriptor方法的具体用法?Python _message.FieldDescriptor怎么用?Python _message.FieldDescriptor使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在google.protobuf.pyext._message的用法示例。


在下文中一共展示了_message.FieldDescriptor方法的8个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: ProtoTypeToCppProtoType

# 需要导入模块: from google.protobuf.pyext import _message [as 别名]
# 或者: from google.protobuf.pyext._message import FieldDescriptor [as 别名]
def ProtoTypeToCppProtoType(proto_type):
    """Converts from a Python proto type to a C++ Proto Type.

    The Python ProtocolBuffer classes specify both the 'Python' datatype and the
    'C++' datatype - and they're not the same. This helper method should
    translate from one to another.

    Args:
      proto_type: the Python proto type (descriptor.FieldDescriptor.TYPE_*)
    Returns:
      descriptor.FieldDescriptor.CPPTYPE_*, the C++ type.
    Raises:
      TypeTransformationError: when the Python proto type isn't known.
    """
    try:
      return FieldDescriptor._PYTHON_TO_CPP_PROTO_TYPE_MAP[proto_type]
    except KeyError:
      raise TypeTransformationError('Unknown proto_type: %s' % proto_type) 
开发者ID:ryfeus,项目名称:lambda-packs,代码行数:20,代码来源:descriptor.py

示例2: ProtoTypeToCppProtoType

# 需要导入模块: from google.protobuf.pyext import _message [as 别名]
# 或者: from google.protobuf.pyext._message import FieldDescriptor [as 别名]
def ProtoTypeToCppProtoType(proto_type):
    """Converts from a Python proto type to a C++ Proto Type.

    The Python ProtocolBuffer classes specify both the 'Python' datatype and the
    'C++' datatype - and they're not the same. This helper method should
    translate from one to another.

    Args:
      proto_type: the Python proto type (descriptor.FieldDescriptor.TYPE_*)
    Returns:
      int: descriptor.FieldDescriptor.CPPTYPE_*, the C++ type.
    Raises:
      TypeTransformationError: when the Python proto type isn't known.
    """
    try:
      return FieldDescriptor._PYTHON_TO_CPP_PROTO_TYPE_MAP[proto_type]
    except KeyError:
      raise TypeTransformationError('Unknown proto_type: %s' % proto_type) 
开发者ID:luci,项目名称:luci-py,代码行数:20,代码来源:descriptor.py

示例3: __init__

# 需要导入模块: from google.protobuf.pyext import _message [as 别名]
# 或者: from google.protobuf.pyext._message import FieldDescriptor [as 别名]
def __init__(self, name, full_name, index, number, type, cpp_type, label,
               default_value, message_type, enum_type, containing_type,
               is_extension, extension_scope, options=None,
               has_default_value=True, containing_oneof=None, json_name=None):
    """The arguments are as described in the description of FieldDescriptor
    attributes above.

    Note that containing_type may be None, and may be set later if necessary
    (to deal with circular references between message types, for example).
    Likewise for extension_scope.
    """
    super(FieldDescriptor, self).__init__(options, 'FieldOptions')
    self.name = name
    self.full_name = full_name
    self._camelcase_name = None
    if json_name is None:
      self.json_name = _ToJsonName(name)
    else:
      self.json_name = json_name
    self.index = index
    self.number = number
    self.type = type
    self.cpp_type = cpp_type
    self.label = label
    self.has_default_value = has_default_value
    self.default_value = default_value
    self.containing_type = containing_type
    self.message_type = message_type
    self.enum_type = enum_type
    self.is_extension = is_extension
    self.extension_scope = extension_scope
    self.containing_oneof = containing_oneof
    if api_implementation.Type() == 'cpp':
      if is_extension:
        self._cdescriptor = _message.default_pool.FindExtensionByName(full_name)
      else:
        self._cdescriptor = _message.default_pool.FindFieldByName(full_name)
    else:
      self._cdescriptor = None 
开发者ID:abhisuri97,项目名称:auto-alt-text-lambda-api,代码行数:41,代码来源:descriptor.py

示例4: __init__

# 需要导入模块: from google.protobuf.pyext import _message [as 别名]
# 或者: from google.protobuf.pyext._message import FieldDescriptor [as 别名]
def __init__(self, name, full_name, index, number, type, cpp_type, label,
               default_value, message_type, enum_type, containing_type,
               is_extension, extension_scope, options=None,
               has_default_value=True, containing_oneof=None):
    """The arguments are as described in the description of FieldDescriptor
    attributes above.

    Note that containing_type may be None, and may be set later if necessary
    (to deal with circular references between message types, for example).
    Likewise for extension_scope.
    """
    super(FieldDescriptor, self).__init__(options, 'FieldOptions')
    self.name = name
    self.full_name = full_name
    self.index = index
    self.number = number
    self.type = type
    self.cpp_type = cpp_type
    self.label = label
    self.has_default_value = has_default_value
    self.default_value = default_value
    self.containing_type = containing_type
    self.message_type = message_type
    self.enum_type = enum_type
    self.is_extension = is_extension
    self.extension_scope = extension_scope
    self.containing_oneof = containing_oneof
    if api_implementation.Type() == 'cpp':
      if is_extension:
        self._cdescriptor = _message.default_pool.FindExtensionByName(full_name)
      else:
        self._cdescriptor = _message.default_pool.FindFieldByName(full_name)
    else:
      self._cdescriptor = None 
开发者ID:sklearn-theano,项目名称:sklearn-theano,代码行数:36,代码来源:descriptor.py

示例5: fields_by_camelcase_name

# 需要导入模块: from google.protobuf.pyext import _message [as 别名]
# 或者: from google.protobuf.pyext._message import FieldDescriptor [as 别名]
def fields_by_camelcase_name(self):
    """Same FieldDescriptor objects as in :attr:`fields`, but indexed by
    :attr:`FieldDescriptor.camelcase_name`.
    """
    if self._fields_by_camelcase_name is None:
      self._fields_by_camelcase_name = dict(
          (f.camelcase_name, f) for f in self.fields)
    return self._fields_by_camelcase_name 
开发者ID:luci,项目名称:luci-py,代码行数:10,代码来源:descriptor.py

示例6: __init__

# 需要导入模块: from google.protobuf.pyext import _message [as 别名]
# 或者: from google.protobuf.pyext._message import FieldDescriptor [as 别名]
def __init__(self, name, full_name, index, number, type, cpp_type, label,
               default_value, message_type, enum_type, containing_type,
               is_extension, extension_scope, options=None,
               has_default_value=True, containing_oneof=None, json_name=None,
               file=None):
    """The arguments are as described in the description of FieldDescriptor
    attributes above.

    Note that containing_type may be None, and may be set later if necessary
    (to deal with circular references between message types, for example).
    Likewise for extension_scope.
    """
    super(FieldDescriptor, self).__init__(options, 'FieldOptions')
    self.name = name
    self.full_name = full_name
    self.file = file
    self._camelcase_name = None
    if json_name is None:
      self.json_name = _ToJsonName(name)
    else:
      self.json_name = json_name
    self.index = index
    self.number = number
    self.type = type
    self.cpp_type = cpp_type
    self.label = label
    self.has_default_value = has_default_value
    self.default_value = default_value
    self.containing_type = containing_type
    self.message_type = message_type
    self.enum_type = enum_type
    self.is_extension = is_extension
    self.extension_scope = extension_scope
    self.containing_oneof = containing_oneof
    if api_implementation.Type() == 'cpp':
      if is_extension:
        self._cdescriptor = _message.default_pool.FindExtensionByName(full_name)
      else:
        self._cdescriptor = _message.default_pool.FindFieldByName(full_name)
    else:
      self._cdescriptor = None 
开发者ID:PacktPublishing,项目名称:Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda,代码行数:43,代码来源:descriptor.py

示例7: __init__

# 需要导入模块: from google.protobuf.pyext import _message [as 别名]
# 或者: from google.protobuf.pyext._message import FieldDescriptor [as 别名]
def __init__(self, name, full_name, index, number, type, cpp_type, label,
               default_value, message_type, enum_type, containing_type,
               is_extension, extension_scope, options=None,
               serialized_options=None,
               has_default_value=True, containing_oneof=None, json_name=None,
               file=None):  # pylint: disable=redefined-builtin
    """The arguments are as described in the description of FieldDescriptor
    attributes above.

    Note that containing_type may be None, and may be set later if necessary
    (to deal with circular references between message types, for example).
    Likewise for extension_scope.
    """
    super(FieldDescriptor, self).__init__(
        options, serialized_options, 'FieldOptions')
    self.name = name
    self.full_name = full_name
    self.file = file
    self._camelcase_name = None
    if json_name is None:
      self.json_name = _ToJsonName(name)
    else:
      self.json_name = json_name
    self.index = index
    self.number = number
    self.type = type
    self.cpp_type = cpp_type
    self.label = label
    self.has_default_value = has_default_value
    self.default_value = default_value
    self.containing_type = containing_type
    self.message_type = message_type
    self.enum_type = enum_type
    self.is_extension = is_extension
    self.extension_scope = extension_scope
    self.containing_oneof = containing_oneof
    if api_implementation.Type() == 'cpp':
      if is_extension:
        self._cdescriptor = _message.default_pool.FindExtensionByName(full_name)
      else:
        self._cdescriptor = _message.default_pool.FindFieldByName(full_name)
    else:
      self._cdescriptor = None 
开发者ID:ryfeus,项目名称:lambda-packs,代码行数:45,代码来源:descriptor.py

示例8: __init__

# 需要导入模块: from google.protobuf.pyext import _message [as 别名]
# 或者: from google.protobuf.pyext._message import FieldDescriptor [as 别名]
def __init__(self, name, full_name, index, number, type, cpp_type, label,
               default_value, message_type, enum_type, containing_type,
               is_extension, extension_scope, options=None,
               serialized_options=None,
               has_default_value=True, containing_oneof=None, json_name=None,
               file=None, create_key=None):  # pylint: disable=redefined-builtin
    """The arguments are as described in the description of FieldDescriptor
    attributes above.

    Note that containing_type may be None, and may be set later if necessary
    (to deal with circular references between message types, for example).
    Likewise for extension_scope.
    """
    if create_key is not _internal_create_key:
      _Deprecated('FieldDescriptor')

    super(FieldDescriptor, self).__init__(
        options, serialized_options, 'FieldOptions')
    self.name = name
    self.full_name = full_name
    self.file = file
    self._camelcase_name = None
    if json_name is None:
      self.json_name = _ToJsonName(name)
    else:
      self.json_name = json_name
    self.index = index
    self.number = number
    self.type = type
    self.cpp_type = cpp_type
    self.label = label
    self.has_default_value = has_default_value
    self.default_value = default_value
    self.containing_type = containing_type
    self.message_type = message_type
    self.enum_type = enum_type
    self.is_extension = is_extension
    self.extension_scope = extension_scope
    self.containing_oneof = containing_oneof
    if api_implementation.Type() == 'cpp':
      if is_extension:
        self._cdescriptor = _message.default_pool.FindExtensionByName(full_name)
      else:
        self._cdescriptor = _message.default_pool.FindFieldByName(full_name)
    else:
      self._cdescriptor = None 
开发者ID:luci,项目名称:luci-py,代码行数:48,代码来源:descriptor.py


注:本文中的google.protobuf.pyext._message.FieldDescriptor方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。