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author | Eddy Pedroni <epedroni@pm.me> | 2024-09-24 17:57:01 +0200 |
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committer | Eddy Pedroni <epedroni@pm.me> | 2024-09-24 17:57:01 +0200 |
commit | fe36d1261dc96004e4d4e692a65e1bc53137726b (patch) | |
tree | ffc2ea48360a44de83bf21dc79231dccbe31d468 /src/scheduler_brutal.py | |
parent | b3ba811610bf1a6ded287d8fe6df757508d01fa4 (diff) |
Implement brutal scheduler
Diffstat (limited to 'src/scheduler_brutal.py')
-rw-r--r-- | src/scheduler_brutal.py | 41 |
1 files changed, 36 insertions, 5 deletions
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 |