OptimizelyUserContext for the Python SDK

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 Segments for Feature Experimentation. 
  # See note following this code sample.

  # Return 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 allows for bypassing the remote fetching process from ODP 
  # or for utilizing your own fetching service.  
  def set_qualified_segments(self, segments):
      
  # Fetch all qualified segments for the user context.
  # If no callback is provided, this method will fetch the qualified segments
  # and return a boolean signifying success.
  #
  # If a callback is provided, the method will fetch 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):