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Current File : /lib/python3.6/site-packages/google/protobuf/__pycache__/symbol_database.cpython-36.pyc
3

���h�@sHdZddlmZddlmZGdd�dej�Zeej�d�Zdd�Zd	S)
aRA database of Python protocol buffer generated symbols.

SymbolDatabase is the MessageFactory for messages generated at compile time,
and makes it easy to create new instances of a registered type, given only the
type's protocol buffer symbol name.

Example usage:

  db = symbol_database.SymbolDatabase()

  # Register symbols of interest, from one or multiple files.
  db.RegisterFileDescriptor(my_proto_pb2.DESCRIPTOR)
  db.RegisterMessage(my_proto_pb2.MyMessage)
  db.RegisterEnumDescriptor(my_proto_pb2.MyEnum.DESCRIPTOR)

  # The database can be used as a MessageFactory, to generate types based on
  # their name:
  types = db.GetMessages(['my_proto.proto'])
  my_message_instance = types['MyMessage']()

  # The database's underlying descriptor pool can be queried, so it's not
  # necessary to know a type's filename to be able to generate it:
  filename = db.pool.FindFileContainingSymbol('MyMessage')
  my_message_instance = db.GetMessages([filename])['MyMessage']()

  # This functionality is also provided directly via a convenience method:
  my_message_instance = db.GetSymbol('MyMessage')()
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rpYqDXqDWq6WqW|S)aGets all registered messages from a specified file.

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    But unlike MessageFactory, this version also returns already defined nested
    messages, but does not register any message extensions.

    Args:
      files: The file names to extract messages from.

    Returns:
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