hermes-chatto-plugin/vendor/platform/linux-x86_64/google/protobuf/message.py

# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc.  All rights reserved.
#
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file or at
# https://developers.google.com/open-source/licenses/bsd

# TODO: We should just make these methods all "pure-virtual" and move
# all implementation out, into reflection.py for now.
"""Contains an abstract base class for protocol messages."""

__author__ = 'robinson@google.com (Will Robinson)'

_INCONSISTENT_MESSAGE_ATTRIBUTES = ('Extensions',)


class Error(Exception):
  """Base error type for this module."""

  pass


class DecodeError(Error):
  """Exception raised when deserializing messages."""

  pass


class EncodeError(Error):
  """Exception raised when serializing messages."""

  pass


class FrozenInstanceError(AttributeError):
  """Exception raised when mutating a frozen message."""

  pass


class Message(object):
  """Abstract base class for protocol messages.

  Protocol message classes are almost always generated by the protocol
  compiler.  These generated types subclass Message and implement the methods
  shown below.
  """

  # TODO: Link to an HTML document here.

  # TODO: Document that instances of this class will also
  # have an Extensions attribute with __getitem__ and __setitem__.
  # Again, not sure how to best convey this.

  # TODO: Document these fields and methods.

  __slots__ = []

  #: The :class:`google.protobuf.Descriptor`
  # for this message type.
  DESCRIPTOR = None

  def __deepcopy__(self, memo=None):
    clone = type(self)()
    clone.MergeFrom(self)
    return clone

  def __dir__(self):
    """Provides the list of all accessible Message attributes."""
    message_attributes = set(super().__dir__())

    # TODO: Remove this once the UPB implementation is improved.
    # The UPB proto implementation currently doesn't provide proto fields as
    # attributes and they have to added.
    if self.DESCRIPTOR is not None:
      for field in self.DESCRIPTOR.fields:
        message_attributes.add(field.name)

    # The Fast C++ proto implementation provides inaccessible attributes that
    # have to be removed.
    for attribute in _INCONSISTENT_MESSAGE_ATTRIBUTES:
      if attribute not in message_attributes:
        continue
      try:
        getattr(self, attribute)
      except AttributeError:
        message_attributes.remove(attribute)

    return sorted(message_attributes)

  def __eq__(self, other_msg):
    """Recursively compares two messages by value and structure."""
    raise NotImplementedError

  def __ne__(self, other_msg):
    # Can't just say self != other_msg, since that would infinitely recurse. :)
    return not self == other_msg

  def __hash__(self):
    raise TypeError('unhashable object')

  def __str__(self):
    """Outputs a human-readable representation of the message."""
    raise NotImplementedError

  def __unicode__(self):
    """Outputs a human-readable representation of the message."""
    raise NotImplementedError

  def __contains__(self, field_name_or_key):
    """Checks if a certain field is set for the message.

    Has presence fields return true if the field is set, false if the field is
    not set. Fields without presence do raise `ValueError` (this includes
    repeated fields, map fields, and implicit presence fields).

    If field_name is not defined in the message descriptor, `ValueError` will
    be raised.
    Note: WKT Struct checks if the key is contained in fields. ListValue checks
    if the item is contained in the list.

    Args:
      field_name_or_key: For Struct, the key (str) of the fields map. For
        ListValue, any type that may be contained in the list. For other
        messages, name of the field (str) to check for presence.

    Returns:
      bool: For Struct, whether the item is contained in fields. For ListValue,
            whether the item is contained in the list. For other message,
            whether a value has been set for the named field.

    Raises:
      ValueError: For normal messages,  if the `field_name_or_key` is not a
                  member of this message or `field_name_or_key` is not a string.
    """
    raise NotImplementedError

  def MergeFrom(self, other_msg):
    """Merges the contents of the specified message into current message.

    This method merges the contents of the specified message into the current
    message. Singular fields that are set in the specified message overwrite
    the corresponding fields in the current message. Repeated fields are
    appended. Singular sub-messages and groups are recursively merged.

    Args:
      other_msg (Message): A message to merge into the current message.
    """
    raise NotImplementedError

  def CopyFrom(self, other_msg):
    """Copies the content of the specified message into the current message.

    The method clears the current message and then merges the specified
    message using MergeFrom.

    Args:
      other_msg (Message): A message to copy into the current one.
    """
    if self is other_msg:
      return
    self.Clear()
    self.MergeFrom(other_msg)

  def Clear(self):
    """Clears all data that was set in the message."""
    raise NotImplementedError

  def SetInParent(self):
    """Mark this as present in the parent.

    This normally happens automatically when you assign a field of a
    sub-message, but sometimes you want to make the sub-message
    present while keeping it empty.  If you find yourself using this,
    you may want to reconsider your design.
    """
    raise NotImplementedError

  def IsInitialized(self):
    """Checks if the message is initialized.

    Returns:
      bool: The method returns True if the message is initialized (i.e. all of
      its required fields are set).
    """
    raise NotImplementedError

  # TODO: MergeFromString() should probably return None and be
  # implemented in terms of a helper that returns the # of bytes read.  Our
  # deserialization routines would use the helper when recursively
  # deserializing, but the end user would almost always just want the no-return
  # MergeFromString().

  def MergeFromString(self, serialized):
    """Merges serialized protocol buffer data into this message.

    When we find a field in `serialized` that is already present
    in this message:

    -   If it's a "repeated" field, we append to the end of our list.
    -   Else, if it's a scalar, we overwrite our field.
    -   Else, (it's a nonrepeated composite), we recursively merge
        into the existing composite.

    Args:
      serialized (bytes): Any object that allows us to call
        ``memoryview(serialized)`` to access a string of bytes using the buffer
        interface.

    Returns:
      int: The number of bytes read from `serialized`.
      For non-group messages, this will always be `len(serialized)`,
      but for messages which are actually groups, this will
      generally be less than `len(serialized)`, since we must
      stop when we reach an ``END_GROUP`` tag.  Note that if
      we *do* stop because of an ``END_GROUP`` tag, the number
      of bytes returned does not include the bytes
      for the ``END_GROUP`` tag information.

    Raises:
      DecodeError: if the input cannot be parsed.
    """
    # TODO: Document handling of unknown fields.
    # TODO: When we switch to a helper, this will return None.
    raise NotImplementedError

  def ParseFromString(self, serialized):
    """Parse serialized protocol buffer data in binary form into this message.

    Like :func:`MergeFromString()`, except we clear the object first.

    Raises:
      message.DecodeError if the input cannot be parsed.
    """
    self.Clear()
    return self.MergeFromString(serialized)

  def SerializeToString(self, **kwargs):
    """Serializes the protocol message to a binary string.

    Keyword Args:
      deterministic (bool): If true, requests deterministic serialization
        of the protobuf. Note that there is no canonical representation of
        protobuf messages: deterministic serialization only means 'consistent
        for current build, but not stable between rebuilds, and may not match
        decisions made by other languages'.
        See
        https://protobuf.dev/programming-guides/serialization-not-canonical/.

    Returns:
      A binary string representation of the message if all of the required
      fields in the message are set (i.e. the message is initialized).

    Raises:
      EncodeError: if the message isn't initialized (see :func:`IsInitialized`).
    """
    raise NotImplementedError

  def SerializePartialToString(self, **kwargs):
    """Serializes the protocol message to a binary string.

    This method is similar to SerializeToString but doesn't check if the
    message is initialized.

    Keyword Args:
      deterministic (bool): If true, requests deterministic serialization
        of the protobuf. Note that 'deterministic' serialization only means
        'Consistent for current build, but still arbitary and not stable over
        time'. There is no canonical representation of protobuf messages,
        See
        https://protobuf.dev/programming-guides/serialization-not-canonical/.

    Returns:
      bytes: A serialized representation of the partial message.
    """
    raise NotImplementedError

  # TODO: Decide whether we like these better
  # than auto-generated has_foo() and clear_foo() methods
  # on the instances themselves.  This way is less consistent
  # with C++, but it makes reflection-type access easier and
  # reduces the number of magically autogenerated things.
  #
  # TODO: Be sure to document (and test) exactly
  # which field names are accepted here.  Are we case-sensitive?
  # What do we do with fields that share names with Python keywords
  # like 'lambda' and 'yield'?
  #
  # nnorwitz says:
  # """
  # Typically (in python), an underscore is appended to names that are
  # keywords. So they would become lambda_ or yield_.
  # """
  def ListFields(self):
    """Returns a list of (FieldDescriptor, value) tuples for present fields.

    A message field is non-empty if HasField() would return true. A singular
    primitive field is non-empty if HasField() would return true in proto2 or it
    is non zero in proto3. A repeated field is non-empty if it contains at least
    one element. The fields are ordered by field number.

    Returns:
      list[tuple(FieldDescriptor, value)]: field descriptors and values
      for all fields in the message which are not empty. The values vary by
      field type.
    """
    raise NotImplementedError

  def HasField(self, field_name):
    """Checks if a certain field is set for the message.

    For a oneof group, checks if any field inside is set. Note that if the
    field_name is not defined in the message descriptor, :exc:`ValueError` will
    be raised.

    Args:
      field_name (str): The name of the field to check for presence.

    Returns:
      bool: Whether a value has been set for the named field.

    Raises:
      ValueError: if the `field_name` is not a member of this message.
    """
    raise NotImplementedError

  def ClearField(self, field_name):
    """Clears the contents of a given field.

    Inside a oneof group, clears the field set. If the name neither refers to a
    defined field or oneof group, :exc:`ValueError` is raised.

    Args:
      field_name (str): The name of the field to check for presence.

    Raises:
      ValueError: if the `field_name` is not a member of this message.
    """
    raise NotImplementedError

  def WhichOneof(self, oneof_group):
    """Returns the name of the field that is set inside a oneof group.

    If no field is set, returns None.

    Args:
      oneof_group (str): the name of the oneof group to check.

    Returns:
      str or None: The name of the group that is set, or None.

    Raises:
      ValueError: no group with the given name exists
    """
    raise NotImplementedError

  def HasExtension(self, field_descriptor):
    """Checks if a certain extension is present for this message.

    Extensions are retrieved using the :attr:`Extensions` mapping (if present).

    Args:
      field_descriptor: The field descriptor for the extension to check.

    Returns:
      bool: Whether the extension is present for this message.

    Raises:
      KeyError: if the extension is repeated. Similar to repeated fields,
        there is no separate notion of presence: a "not present" repeated
        extension is an empty list.
    """
    raise NotImplementedError

  def ClearExtension(self, field_descriptor):
    """Clears the contents of a given extension.

    Args:
      field_descriptor: The field descriptor for the extension to clear.
    """
    raise NotImplementedError

  def UnknownFields(self):
    """Returns the UnknownFieldSet.

    Returns:
      UnknownFieldSet: The unknown fields stored in this message.
    """
    raise NotImplementedError

  def DiscardUnknownFields(self):
    """Clears all fields in the :class:`UnknownFieldSet`.

    This operation is recursive for nested message.
    """
    raise NotImplementedError

  def ByteSize(self):
    """Returns the serialized size of this message.

    Recursively calls ByteSize() on all contained messages.

    Returns:
      int: The number of bytes required to serialize this message.
    """
    raise NotImplementedError

  @classmethod
  def FromString(cls, s):
    raise NotImplementedError

  def _SetListener(self, message_listener):
    """Internal method used by the protocol message implementation.

    Clients should not call this directly.

    Sets a listener that this message will call on certain state transitions.

    The purpose of this method is to register back-edges from children to
    parents at runtime, for the purpose of setting "has" bits and
    byte-size-dirty bits in the parent and ancestor objects whenever a child or
    descendant object is modified.

    If the client wants to disconnect this Message from the object tree, she
    explicitly sets callback to None.

    If message_listener is None, unregisters any existing listener.  Otherwise,
    message_listener must implement the MessageListener interface in
    internal/message_listener.py, and we discard any listener registered
    via a previous _SetListener() call.
    """
    raise NotImplementedError

  def __getstate__(self):
    """Support the pickle protocol."""
    return dict(serialized=self.SerializePartialToString())

  def __setstate__(self, state):
    """Support the pickle protocol."""
    self.__init__()
    serialized = state['serialized']
    # On Python 3, using encoding='latin1' is required for unpickling
    # protos pickled by Python 2.
    if not isinstance(serialized, bytes):
      serialized = serialized.encode('latin1')
    self.ParseFromString(serialized)

  def __reduce__(self):
    message_descriptor = self.DESCRIPTOR
    if message_descriptor.containing_type is None:
      return type(self), (), self.__getstate__()
    # the message type must be nested.
    # Python does not pickle nested classes; use the symbol_database on the
    # receiving end.
    container = message_descriptor
    return (
        _InternalConstructMessage,
        (container.full_name,),
        self.__getstate__(),
    )


def _InternalConstructMessage(full_name):
  """Constructs a nested message."""
  from google.protobuf import symbol_database  # pylint:disable=g-import-not-at-top

  return symbol_database.Default().GetSymbol(full_name)()