diff --git a/fsrs4anki_optimizer.ipynb b/fsrs4anki_optimizer.ipynb index cf05439..07e87cb 100644 --- a/fsrs4anki_optimizer.ipynb +++ b/fsrs4anki_optimizer.ipynb @@ -5,9 +5,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# FSRS4Anki v3.25.2 Optimizer\n", + "# FSRS4Anki v3.25.3 Optimizer\n", "\n", - "[![open in colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/open-spaced-repetition/fsrs4anki/blob/v3.25.2/fsrs4anki_optimizer.ipynb)\n", + "[![open in colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/open-spaced-repetition/fsrs4anki/blob/v3.25.3/fsrs4anki_optimizer.ipynb)\n", "\n", "↑ Click the above button to open the optimizer on Google Colab.\n", "\n", @@ -103,7 +103,7 @@ } ], "source": [ - "%pip install -q fsrs4anki_optimizer==3.25.2\n", + "%pip install -q fsrs4anki_optimizer==3.25.3\n", "# for local development\n", "# import os\n", "# import sys\n", @@ -159,7 +159,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "53c7d8cc155c410f9a0d84b387ef7dd9", + "model_id": "24b1f0f5916d479ab8f6069b65ca587e", "version_major": 2, "version_minor": 0 }, @@ -180,7 +180,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "146c56a60e254ef4a8febe1e65e4b4b6", + "model_id": "d663b6d68eb64255aa5488356241cf8d", "version_major": 2, "version_minor": 0 }, @@ -317,7 +317,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9cd1e8985ca2415ea9816c5e21ecc6dc", + "model_id": "a5928e08e0264a2e95a5c67089e6e33d", "version_major": 2, "version_minor": 0 }, @@ -342,7 +342,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "1b43e2fbd2ec4f1d8229dd4cd999493f", + "model_id": "7e9229111d4b410ebd5f881b671d12a3", "version_major": 2, "version_minor": 0 }, @@ -363,7 +363,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "d98e3ec13028493584328c4b5001ca90", + "model_id": "fa08fa6a568c4ea38016ac0bcd4a75bb", "version_major": 2, "version_minor": 0 }, @@ -415,7 +415,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "505394933bf840eeb349462918db2766", + "model_id": "8bbcffffb49341d8bb2a10476902db54", "version_major": 2, "version_minor": 0 }, @@ -436,7 +436,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "887ef137d1c348ffb749e21e66c2c5c6", + "model_id": "928bfd1eb36d4f669257c1230c54dc3c", "version_major": 2, "version_minor": 0 }, @@ -488,7 +488,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "0bf34417570e41079326834d1fcc6031", + "model_id": "4017fb729a78467bad483a5818702c1e", "version_major": 2, "version_minor": 0 }, @@ -509,7 +509,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "8eb43490dac7455d89cb28a917d5f019", + "model_id": "0d5f6fd6f93d49e3a364f5ad26011247", "version_major": 2, "version_minor": 0 }, @@ -827,7 +827,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "d0557f3c180a46abb5c05d9b996adffd", + "model_id": "a7de23d2b16d46378d3f5bc8e8389082", "version_major": 2, "version_minor": 0 }, @@ -1013,225 +1013,225 @@ "data": { "text/html": [ "\n", - "
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