Module moog.game_rules.timing

Rules that control the timing of when to apply other rules.

These are useful for when you want to delay a rule of apply a rule only in a specific timeframe.

If you want your task to have trial structure, consider looking at the rules in task_phases.py. Those are more amenable to creating tasks with phases, e.g. fixation phase -> stimulus phase -> response phase -> reward phase.

Classes

class DelayedRule (steps_until_start, rules, duration=inf)
Expand source code 
class DelayedRule(TimedRule):
    """TimedRule that starts at specified time and never stops."""

    def __init__(self, steps_until_start, rules, duration=np.inf):
        """Constructor.

        Args:
            steps_until_start: Int or callable returning Int. This is the time
                at which to start stepping rules.
            rules: Rule or iterable of rules.
            duration: Optional int or callable. Duration of the rule.
        """
        if not callable(steps_until_start):
            callable_steps_until_start = lambda: steps_until_start
        else:
            callable_steps_until_start = steps_until_start

        if not callable(duration):
            callable_duration = lambda: duration
        else:
            callable_duration = duration

        def _step_interval():
            start_time = callable_steps_until_start()
            return (start_time, start_time + callable_duration())
        
        super().__init__(_step_interval, rules)

TimedRule that starts at specified time and never stops.

Constructor.

Args

steps_until_start
Int or callable returning Int. This is the time at which to start stepping rules.
rules
Rule or iterable of rules.
duration
Optional int or callable. Duration of the rule.

Ancestors

Inherited members

class TemporaryRule (steps_until_stop, rules)
Expand source code 
class TemporaryRule(TimedRule):
    """TimedRule that starts immediately but stops after specified duration."""

    def __init__(self, steps_until_stop, rules):
        """Constructor.

        Args:
            steps_until_stop: Int or callable returning Int. This is the time at
                which to stop stepping rules.
            rules: Rule or iterable of rules.
        """
        if not callable(steps_until_stop):
            step_interval = lambda: (0, steps_until_stop)
        else:
            step_interval = lambda: (0, steps_until_stop())
        super().__init__(step_interval, rules)

TimedRule that starts immediately but stops after specified duration.

Constructor.

Args

steps_until_stop
Int or callable returning Int. This is the time at which to stop stepping rules.
rules
Rule or iterable of rules.

Ancestors

Inherited members

class TimedRule (step_interval, rules)
Expand source code 
class TimedRule(abstract_rule.AbstractRule):
    """Apply a set of rules only during a specified time interval.
    
    The time interval step_interval is given in terms of number of environment
    steps, i.e. number of times this rule is called. The upper bound (second
    element) of step_interval may be infinite. The step_interval may also be a
    callable returning random intervals.

    For example, if you want some rule my_rule to step only between 20 and 40
    environment steps (i.e. 20 to 40 timesteps after each reset), you can use
    TimedRule((20, 40), my_rule).
    """

    def __init__(self, step_interval, rules):
        """Constructor.

        Args:
            step_interval: Length-2 iterable [start_step_count, stop_step_count]
                or callable returning such. This range specifies the interval in
                which to step rules. The units of measurement are times this
                rule is called --- this usually corresponds to environment
                steps, but may be offset if this TimedRule itself is the
                argument of some other TimedRule.
            rules: Rule or iterable of rules to step during the step_interval.
        """
        if not callable(step_interval):
            self._step_interval = lambda: step_interval
        else:
            self._step_interval = step_interval
        
        if not isinstance(rules, (list, tuple)):
            rules = (rules,)
        self._rules = rules

    def reset(self, state, meta_state):
        self._steps_until_start, self._steps_until_stop = self._step_interval()
        for rule in self._rules:
            rule.reset(state, meta_state)

    def step(self, state, meta_state):
        """Apply rule to state."""
        if self._steps_until_start <= 0 and self._steps_until_stop > 0:
            for rule in self._rules:
                rule.step(state, meta_state)
        self._steps_until_start -= 1
        self._steps_until_stop -= 1

Apply a set of rules only during a specified time interval.

The time interval step_interval is given in terms of number of environment steps, i.e. number of times this rule is called. The upper bound (second element) of step_interval may be infinite. The step_interval may also be a callable returning random intervals.

For example, if you want some rule my_rule to step only between 20 and 40 environment steps (i.e. 20 to 40 timesteps after each reset), you can use TimedRule((20, 40), my_rule).

Constructor.

Args

step_interval
Length-2 iterable [start_step_count, stop_step_count] or callable returning such. This range specifies the interval in which to step rules. The units of measurement are times this rule is called — this usually corresponds to environment steps, but may be offset if this TimedRule itself is the argument of some other TimedRule.
rules
Rule or iterable of rules to step during the step_interval.

Ancestors

Subclasses

Methods

def step(self, state, meta_state)
Expand source code 
def step(self, state, meta_state):
    """Apply rule to state."""
    if self._steps_until_start <= 0 and self._steps_until_stop > 0:
        for rule in self._rules:
            rule.step(state, meta_state)
    self._steps_until_start -= 1
    self._steps_until_stop -= 1

Apply rule to state.

Inherited members