Task

class tasks.taskTemplate.Task

Bases: object

The abstract tasks class from which all others inherit

Many general methods for tasks are found only here

Name

The name of the class used when recording what has been used.

Type:string

Methods Summary

feedback()	Responds to the action from the participant
get_name()	Returns the name of the class
next()	Produces the next stimulus for the iterator
params()	Returns the parameters of the task as a dictionary
proceed()	Updates the task before the next trialstep
receiveAction(action)	Receives the next action from the participant
returnTaskState()	Returns all the relevant data for this task run
standardResultOutput()
storeState()	Stores the state of all the important variables so that they can be output later

Methods Documentation

feedback()

Responds to the action from the participant

Returns:feedback Return type:None, int or float

classmethod get_name()

Returns the name of the class

next()

Produces the next stimulus for the iterator

Returns:

• stimulus (None)
• nextValidActions (Tuple of ints) – The list of valid actions that the model can respond with. Set to None, as they never vary.

Raises:StopIteration

params()

Returns the parameters of the task as a dictionary

Returns:parameters – The parameters of the task Return type:dict

proceed()

Updates the task before the next trialstep

receiveAction(action)

Receives the next action from the participant

Parameters:action (int or string) – The action taken by the model

returnTaskState()

Returns all the relevant data for this task run

Returns:results – A dictionary containing the class parameters as well as the other useful data Return type:dictionary

standardResultOutput()

storeState()

Stores the state of all the important variables so that they can be output later