class_docstr: Container of request-scoped values.
  
  This context is for cross-cutting concerns: authentication,
  authorization, auditing, internationalization, logging, and so on.
  It is not simply for passing commonly used parameters to functions.
  
  `RequestContext` values are to be treated as immutable.
  
  Fields:
    auth: An `AuthContext`, which may be empty but is never `None`.
    remote_ip: An `ipaddress.IPv4Address` or `ipaddress.IPv6Address` or None.
      Best guess of the IP Address of the end user.
    x_forwarded_for: A tuple of `ipaddress.IPv4Address` or `ipaddress.IPv6Address`,
      which may be empty but is never None. This should be parsed value of X-Forwarded-For
      HTTP header from the request.
    client_feature_flags: A dict of string to arbitrary type. These represent
      feature flag key/value pairs sent by the client application. Usage of
      client_feature_flags should know the name of the feature flag key and
      should know and validate the type of the value.
code: def client_feature_flags(self):
      return self._client_feature_flags
  
file_path: tensorboard/tensorboard/context.py
imports: from tensorboard import auth
label_desc: Use image node_id 5 for calling the RequestContext obj's underlying member method code with example usage: obj.client_feature_flags() and returns: self