Fix/<= review limit & learn limit (#80)

open-spaced-repetition · Feb 8, 2024 · 0168029 · 0168029
1 parent e1fc9f6
commit 0168029
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Showing 3 changed files with 5 additions and 3 deletions.
diff --git a/pyproject.toml b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "FSRS-Optimizer"
-version = "4.24.0"
+version = "4.24.1"
 readme = "README.md"
 dependencies = [
     "matplotlib>=3.7.0",

diff --git a/src/fsrs_optimizer/__main__.py b/src/fsrs_optimizer/__main__.py
@@ -72,6 +72,8 @@ def remembered_fallback_prompt(key: str, pretty: str = None):
 
     if graphs_input.lower() != "y":
         remembered_fallbacks["preview"] = "n"
+    else:
+        remembered_fallbacks["preview"] = "y"
 
     with open(
         config_save, "w+"

diff --git a/src/fsrs_optimizer/fsrs_simulator.py b/src/fsrs_optimizer/fsrs_simulator.py
@@ -115,7 +115,7 @@ def stability_after_failure(s, r, d):
         true_review = (
             need_review
             & (np.cumsum(card_table[col["cost"]]) <= max_cost_perday)
-            & (np.cumsum(need_review) < review_limit_perday)
+            & (np.cumsum(need_review) <= review_limit_perday)
         )
         card_table[col["last_date"]][true_review] = today
 
@@ -150,7 +150,7 @@ def stability_after_failure(s, r, d):
         true_learn = (
             need_learn
             & (np.cumsum(card_table[col["cost"]]) <= max_cost_perday)
-            & (np.cumsum(need_learn) < learn_limit_perday)
+            & (np.cumsum(need_learn) <= learn_limit_perday)
         )
         card_table[col["last_date"]][true_learn] = today
         first_ratings = np.random.choice(