From fe36d1261dc96004e4d4e692a65e1bc53137726b Mon Sep 17 00:00:00 2001 From: Eddy Pedroni Date: Tue, 24 Sep 2024 17:57:01 +0200 Subject: Implement brutal scheduler --- src/scheduler_brutal.py | 41 ++++++++++++++++++++++++++++++++++++----- 1 file changed, 36 insertions(+), 5 deletions(-) (limited to 'src/scheduler_brutal.py') diff --git a/src/scheduler_brutal.py b/src/scheduler_brutal.py index d1c98b5..f41d203 100644 --- a/src/scheduler_brutal.py +++ b/src/scheduler_brutal.py @@ -2,6 +2,7 @@ """ from card import Card +from random import shuffle HISTORY_DEPTH = 8 @@ -14,7 +15,7 @@ class SchedulerBrutal: for id, card in self._cards.items(): history = state.get(id, [None] * HISTORY_DEPTH) - # adjust history if depth has changed + # Adjust history if depth has changed if len(history) > HISTORY_DEPTH: history = history[-HISTORY_DEPTH:] elif len(history) < HISTORY_DEPTH: @@ -22,11 +23,11 @@ class SchedulerBrutal: self._state[id] = history - def practice(self, size: int) -> dict: - pass + def practice(self, size: int) -> list[int]: + return self._schedule(size) - def test(self, size: int) -> dict: - pass + def test(self, size: int) -> list[int]: + return self._schedule(size) def update(self, results: dict[int, int]) -> None: # Add card result to sliding window, or None if card was not shown @@ -35,3 +36,33 @@ class SchedulerBrutal: def getState(self) -> dict: return self._state + + # Consolidation index is a measure of how well the card has been memorised + @staticmethod + def _consolidationIndex(history: list, weights: range) -> float: + relevant_history = [(h, w) for h, w in zip(history, weights) if h is not None] + weighted_history = sum([h * w for h, w in relevant_history]) + total_weights = sum([w for h, w in relevant_history]) + return weighted_history / total_weights if total_weights > 0 else 0.0 + + # Exposure index is a measure of how much and how recently a card has been shown + @staticmethod + def _exposureIndex(history: list) -> float: + return sum([i + 1 for i, h in enumerate(history) if h is not None]) + + def _schedule(self, size: int) -> list[int]: + weights = range(10, 10 + HISTORY_DEPTH) + cards = [id for id, card in self._cards.items()] + + # First sort by consolidation index + cards.sort(key=lambda id: SchedulerBrutal._consolidationIndex(self._state[id], weights)) + + # Next sort by exposure index + cards.sort(key=lambda id: SchedulerBrutal._exposureIndex(self._state[id])) + + # Return least exposed and least consolidated cards, shuffled + cards = cards[0:size] + + shuffle(cards) + + return cards -- cgit v1.2.3