本文整理匯總了Python中google.protobuf.pyext._message.FieldDescriptor方法的典型用法代碼示例。如果您正苦於以下問題：Python _message.FieldDescriptor方法的具體用法？Python _message.FieldDescriptor怎麽用？Python _message.FieldDescriptor使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類google.protobuf.pyext._message的用法示例。
在下文中一共展示了_message.FieldDescriptor方法的8個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: ProtoTypeToCppProtoType
# 需要導入模塊: from google.protobuf.pyext import _message [as 別名]
# 或者: from google.protobuf.pyext._message import FieldDescriptor [as 別名]
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) 示例2: ProtoTypeToCppProtoType
# 需要導入模塊: from google.protobuf.pyext import _message [as 別名]
# 或者: from google.protobuf.pyext._message import FieldDescriptor [as 別名]
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) 示例3: __init__
# 需要導入模塊: from google.protobuf.pyext import _message [as 別名]
# 或者: from google.protobuf.pyext._message import FieldDescriptor [as 別名]
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 示例4: __init__
# 需要導入模塊: from google.protobuf.pyext import _message [as 別名]
# 或者: from google.protobuf.pyext._message import FieldDescriptor [as 別名]
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 示例5: fields_by_camelcase_name
# 需要導入模塊: from google.protobuf.pyext import _message [as 別名]
# 或者: from google.protobuf.pyext._message import FieldDescriptor [as 別名]
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 示例6: __init__
# 需要導入模塊: from google.protobuf.pyext import _message [as 別名]
# 或者: from google.protobuf.pyext._message import FieldDescriptor [as 別名]
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 開發者ID:PacktPublishing，項目名稱:Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda，代碼行數:43，代碼來源:descriptor.py
示例7: __init__
# 需要導入模塊: from google.protobuf.pyext import _message [as 別名]
# 或者: from google.protobuf.pyext._message import FieldDescriptor [as 別名]
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 示例8: __init__
# 需要導入模塊: from google.protobuf.pyext import _message [as 別名]
# 或者: from google.protobuf.pyext._message import FieldDescriptor [as 別名]
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