class OptimizelyUserContext(object):      # set an attribute for the user  def set_attribute(self, attribute_key, attribute_value):      # get attributes for the user  def get_user_attributes(self):  # make a decision about which flag variation the user buckets into for the flag key   def decide(self, key, options=None):  # make decisions about which flag variations the user buckets into for flag keys   def decide_for_keys(self, keys, options=None):  # make decisions about which flag variations the user buckets into for all flags   def decide_all(self, options=None):  # track user event  def track_event(self, event_key, event_tags=None):        # OptimizelyDecisionContext  class OptimizelyDecisionContext(object):    def __init__(self, flag_key, rule_key):        # OptimizelyForcedDecision  class OptimizelyForcedDecision(object):    def __init__(self, variation_key):  # Sets the forced decision (variation_key) for a given decision context  def set_forced_decision(self, OptimizelyDecisionContext, OptimizelyForcedDecision):  # Returns the forced decision for a given decision context  def get_forced_decision(self, OptimizelyDecisionContext):  # Removes the forced decision for a given decision context  def remove_forced_decision(self, OptimizelyDecisionContext):  # Removes all forced decisions bound to this user context  def remove_all_forced_decisions(self):    # The following methods require Real-Time Audiences for Feature Experimentation.   # See note following this code sample.  # Returns the saved results of **fetch_qualified_segments()**.   # Can be None if not properly updated with fetch_qualified_segments().    def get_qualified_segments(self):     # Overwrite the qualified segments array.   # This lets you bypass the remote fetching process from ODP   # or for utilizing your own fetching service.    def set_qualified_segments(self, segments):        # Fetch all qualified audience segments for the user context.  # If no callback is provided, this method fetches the qualified segments  # and return a boolean signifying success.  #  # If a callback is provided, the method fetches segments in a separate thread,   # invoke the provided callback when results are available, and return the thread handle.  def fetch_qualified_segments(callback=None, options=None):   # Check is the user qualified for the given segment.   def is_qualified_for(self, segment):