[ERROR] Can't reschedule all cards with FSRS4Anki Helper

[davipfigueiredo]

The weights between v3 and v4 are incompatible. Please use v4 Optimizer to generate the weights So, I discovered about FSRS4 Anki literally today and decided to try it. I followed the steps described in https://github.com/open-spaced-repetition/fsrs4anki, but when I tried to reschedule all cards, the message above appeared.

I don't know what do. Do I have to install a v4 add-on? Just logged in here to ask this question lol

Screenshots

• Anki version: 2.1.61
• Scheduler version: V3

[Expertium]

The README links lead to the most recent versions of the scheduler and the optimizer, so I'm genuinely curious how you got the wrong version. Maybe some links are broken. If you can tell me exactly what links you used, it would be nice, since if any links lead to older versions, we should change them. Anyway, most recent scheduler code: https://github.com/open-spaced-repetition/fsrs4anki/blob/main/fsrs4anki_scheduler.js Most recent optimizer: https://colab.research.google.com/github/open-spaced-repetition/fsrs4anki/blob/main/fsrs4anki_optimizer.ipynb Find the optimal parameters using the optimizer, copy-paste them into the scheduler, adjust you desired retention (and max. interval, if you want to) and that's it.

[davipfigueiredo]

I used the scheduler code prompt you sent me, and it worked. The issue is that this time I didn't modify anything in the parameters, as suggested in this link: https://github.com/open-spaced-repetition/fsrs4anki. I followed the image of the suggested parameters, I don't know if I executed it incorrectly:

Anyway, I didn't understand exactly, but now it works normally. Just one question, the second link you sent me, would be how to create your own review step step by step within FSRS4? I didn't understand exactly.

[Expertium]

First you copy the entire scheduler code into Anki. Then you export your collection, .apkg file. Then you upload it into the optimizer, run it, and it will give you your optimal parameters. And then you replace the default parameters in the scheduler code with your own parameters. That's the summary. This is the full guide: https://github.com/open-spaced-repetition/fsrs4anki#readme

[L-M-Sherlock]

• Scheduler version: V3

Could you paste your previous custom scheduling script here?

[phamousq]

I'm getting the same issue when pressing "reschedule all cards" and have been using fsrs for past 8 months probably. I updated to v4 without issue when it came out and a recent update to the helper add on seems to have made created this issue for me. I generated new parameters just now and put them in the scheduler and the error "The weights between v3 and v4 are incompatible. Please use v4 Optimizer to generate the weights" still comes up.

My "w" calculated today: [0.2615, 0.5808, 1.3038, 5.8, 5.4295, 1.4752, 1.0846, 0.0234, 1.4871, 0.3697, 0.8653, 2.6128, 0.0137, 0.3083, 0.9037, 0.3629, 4.5698]

these values actually break my anki; can't review cards without getting the error every card. i reverted to my previous values and seems like i can do reviews again. [0.23, 0.47, 1.13, 5.8, 5.3854, 1.48, 1.1233, 0.0172, 1.4914, 0.3652, 0.8754, 2.5799, 0.014, 0.3133, 0.9335, 0.3486, 4.619]

scheduler version: FSRS4Anki v4.5.6 Scheduler Qt6

[L-M-Sherlock]

@phamousq I hope you could provide the entire configuration of your FSRS scheduler.

[phamousq]

sure. I think i have v3 scheduling values in the deck params which might cause this problem edit: yeah i updated the v3 parameters from custom deck parameters in second example 2 and it solved things. thanks for your help and work on this project!

// FSRS4Anki v4.5.6 Scheduler Qt6 set_version(); // The latest version will be released on https://github.com/open-spaced-repetition/fsrs4anki/releases/latest

// Configuration Start

const deckParams = [ { // Default parameters of FSRS4Anki for global "deckName": "global config for FSRS4Anki", "w": [0.23, 0.47, 1.13, 5.8, 5.3854, 1.48, 1.1233, 0.0172, 1.4914, 0.3652, 0.8754, 2.5799, 0.014, 0.3133, 0.9335, 0.3486, 4.619], // The above parameters can be optimized via FSRS4Anki optimizer. // For details about the parameters, please see: https://github.com/open-spaced-repetition/fsrs4anki/wiki/The-Algorithm // User's custom parameters for global "requestRetention": 0.80, // recommended setting: 0.8 ~ 0.9 "maximumInterval": 36500, // FSRS only modifies the long-term scheduling. So (re)learning steps in deck options work as usual. // I recommend setting steps shorter than 1 day. }, { // Example 1: User's custom parameters for this deck and its sub-decks. "deckName": "MainDeck1", "w": [0.6, 0.9, 2.9, 6.8, 4.72, 1.02, 1, 0.04, 1.49, 0.17, 1.02, 2.15, 0.07, 0.35, 1.17, 0.32, 2.53], "requestRetention": 0.9, "maximumInterval": 36500, }, { // Example 2: User's custom parameters for this deck and its sub-decks. // Don't omit any keys. "deckName": "MainDeck2::SubDeck::SubSubDeck", "w": [0.6, 0.9, 2.9, 6.8, 4.72, 1.02, 1, 0.04, 1.49, 0.17, 1.02, 2.15, 0.07, 0.35, 1.17, 0.32, 2.53], "requestRetention": 0.9, "maximumInterval": 36500, }, { // Example 2: User's custom parameters for this deck and its sub-decks. // Don't omit any keys. "deckName": "ALL::Archive", "w": [1.2879, 0.5135, 4.9532, -1.502, -1.0922, 0.0081, 1.3771, -0.0294, 0.6718, 1.8335, -0.4066, 0.7291, 0.5517], "requestRetention": 0.9, "maximumInterval": 36500, "easyBonus": 1.3, "hardInterval": 1.2, } ];

// To turn off FSRS in specific decks, fill them into the skip_decks list below. // Please don't remove it even if you don't need it. const skip_decks = ["MainDeck3", "MainDeck4::SubDeck"];

// "Fuzz" is a small random delay applied to new intervals to prevent cards from // sticking together and always coming up for review on the same day const enable_fuzz = true;

// FSRS supports displaying memory states of cards. // Enable it for debugging if you encounter something wrong. const display_memory_state = false;

// Configuration End

debugger;

// display if FSRS is enabled if (display_memory_state) { const prev = document.getElementById('FSRS_status') if (prev) { prev.remove(); } var fsrs_status = document.createElement('span'); fsrs_status.innerHTML = "
FSRS enabled"; fsrs_status.id = "FSRS_status"; fsrs_status.style.cssText = "font-size:12px;opacity:0.5;font-family:monospace;text-align:left;line-height:1em;"; document.body.appendChild(fsrs_status); document.getElementById("qa").style.cssText += "min-height:50vh;"; } let params = {}; // get the name of the card's deck if (deck_name = get_deckname()) { if (display_memory_state) { fsrs_status.innerHTML += "
Deck name: " + deck_name; } for (const i of skip_decks) { if (deck_name.startsWith(i)) { fsrs_status.innerHTML = fsrs_status.innerHTML.replace("FSRS enabled", "FSRS disabled"); return; } } // Arrange the deckParams of sub-decks in front of their parent decks. deckParams.sort(function(a, b) { return -a.deckName.localeCompare(b.deckName); }); for (let i = 0; i < deckParams.length; i++) { if (deck_name.startsWith(deckParams[i]["deckName"])) { params = deckParams[i]; break; } } } else { if (display_memory_state) { fsrs_status.innerHTML += "
Deck name not found"; } } if (Object.keys(params).length === 0) { params = deckParams.find(deck => deck.deckName === "global config for FSRS4Anki"); } var w = params["w"]; var requestRetention = params["requestRetention"]; var maximumInterval = params["maximumInterval"]; // auto-calculate intervalModifier const intervalModifier = 9 (1 / requestRetention - 1); // global fuzz factor for all ratings. const fuzz_factor = set_fuzz_factor(); const ratings = { "again": 1, "hard": 2, "good": 3, "easy": 4 }; // For new cards if (is_new()) { init_states(); const good_interval = next_interval(customData.good.s); const easy_interval = Math.max(next_interval(customData.easy.s), good_interval + 1); if (states.good.normal?.review) { states.good.normal.review.scheduledDays = good_interval; } if (states.easy.normal?.review) { states.easy.normal.review.scheduledDays = easy_interval; } // For learning/relearning cards } else if (is_learning()) { // Init states if the card didn't contain customData if (is_empty()) { init_states(); } const good_interval = next_interval(customData.good.s); const easy_interval = Math.max(next_interval(customData.easy.s), good_interval + 1); if (states.good.normal?.review) { states.good.normal.review.scheduledDays = good_interval; } if (states.easy.normal?.review) { states.easy.normal.review.scheduledDays = easy_interval; } // For review cards } else if (is_review()) { // Convert the interval and factor to stability and difficulty if the card didn't contain customData if (is_empty()) { convert_states(); } const interval = states.current.normal?.review.elapsedDays ? states.current.normal.review.elapsedDays : states.current.filtered.rescheduling.originalState.review.elapsedDays; const last_d = customData.again.d; const last_s = customData.again.s; const retrievability = Math.pow(1 + interval / (9 last_s), -1) if (display_memory_state) { fsrs_status.innerHTML += "
D: " + last_d + "
S: " + last_s + "
R: " + (retrievability 100).toFixed(2) + "%"; } customData.again.d = next_difficulty(last_d, "again"); customData.again.s = next_forget_stability(customData.again.d, last_s, retrievability); customData.hard.d = next_difficulty(last_d, "hard"); customData.hard.s = next_recall_stability(customData.hard.d, last_s, retrievability, "hard"); customData.good.d = next_difficulty(last_d, "good"); customData.good.s = next_recall_stability(customData.good.d, last_s, retrievability, "good"); customData.easy.d = next_difficulty(last_d, "easy"); customData.easy.s = next_recall_stability(customData.easy.d, last_s, retrievability, "easy"); let hard_interval = next_interval(customData.hard.s); let good_interval = next_interval(customData.good.s); let easy_interval = next_interval(customData.easy.s); hard_interval = Math.min(hard_interval, good_interval) good_interval = Math.max(good_interval, hard_interval + 1); easy_interval = Math.max(easy_interval, good_interval + 1); if (states.hard.normal?.review) { states.hard.normal.review.scheduledDays = hard_interval; } if (states.good.normal?.review) { states.good.normal.review.scheduledDays = good_interval; } if (states.easy.normal?.review) { states.easy.normal.review.scheduledDays = easy_interval; } } function constrain_difficulty(difficulty) { return Math.min(Math.max(+difficulty.toFixed(2), 1), 10); } function apply_fuzz(ivl) { if (!enable_fuzz || ivl < 2.5) return ivl; ivl = Math.round(ivl); let min_ivl = Math.max(2, Math.round(ivl 0.95 - 1)); let max_ivl = Math.round(ivl 1.05 + 1); if (is_review()) { const scheduledDays = states.current.normal?.review.scheduledDays ? states.current.normal.review.scheduledDays : states.current.filtered.rescheduling.originalState.review.scheduledDays; if (ivl > scheduledDays) { min_ivl = Math.max(min_ivl, scheduledDays + 1); } } return Math.floor(fuzz_factor (max_ivl - min_ivl + 1) + min_ivl); } function next_interval(stability) { const new_interval = apply_fuzz(stability intervalModifier); return Math.min(Math.max(Math.round(new_interval), 1), maximumInterval); } function next_difficulty(d, rating) { let next_d = d - w[6] (ratings[rating] - 3); return constrain_difficulty(mean_reversion(w[4], next_d)); } function mean_reversion(init, current) { return w[7] init + (1 - w[7]) current; } function next_recall_stability(d, s, r, rating) { let hardPenalty = rating === "hard" ? w[15] : 1; let easyBonus = rating === "easy" ? w[16] : 1; return +(s (1 + Math.exp(w[8]) (11 - d) Math.pow(s, -w[9]) (Math.exp((1 - r) w[10]) - 1) hardPenalty easyBonus)).toFixed(2); } function next_forget_stability(d, s, r) { return +Math.min(w[11] Math.pow(d, -w[12]) (Math.pow(s + 1, w[13]) - 1) Math.exp((1 - r) w[14]), s).toFixed(2); } function init_states() { customData.again.d = init_difficulty("again"); customData.again.s = init_stability("again"); customData.hard.d = init_difficulty("hard"); customData.hard.s = init_stability("hard"); customData.good.d = init_difficulty("good"); customData.good.s = init_stability("good"); customData.easy.d = init_difficulty("easy"); customData.easy.s = init_stability("easy"); } function init_difficulty(rating) { return +constrain_difficulty(w[4] - w[5] (ratings[rating] - 3)).toFixed(2); } function init_stability(rating) { return +Math.max(w[ratings[rating] - 1], 0.1).toFixed(2); } function convert_states() { const scheduledDays = states.current.normal ? states.current.normal.review.scheduledDays : states.current.filtered.rescheduling.originalState.review.scheduledDays; const easeFactor = states.current.normal ? states.current.normal.review.easeFactor : states.current.filtered.rescheduling.originalState.review.easeFactor; const old_s = +Math.max(scheduledDays, 0.1).toFixed(2); const old_d = constrain_difficulty(11 - (easeFactor - 1) / (Math.exp(w[8]) Math.pow(old_s, -w[9]) (Math.exp(0.1 w[10]) - 1))); customData.again.d = old_d; customData.again.s = old_s; customData.hard.d = old_d; customData.hard.s = old_s; customData.good.d = old_d; customData.good.s = old_s; customData.easy.d = old_d; customData.easy.s = old_s; } function is_new() { if (states.current.normal?.new !== undefined) { if (states.current.normal?.new !== null) { return true; } } if (states.current.filtered?.rescheduling?.originalState !== undefined) { if (Object.hasOwn(states.current.filtered?.rescheduling?.originalState, 'new')) { return true; } } return false; } function is_learning() { if (states.current.normal?.learning !== undefined) { if (states.current.normal?.learning !== null) { return true; } } if (states.current.filtered?.rescheduling?.originalState !== undefined) { if (Object.hasOwn(states.current.filtered?.rescheduling?.originalState, 'learning')) { return true; } } if (states.current.normal?.relearning !== undefined) { if (states.current.normal?.relearning !== null) { return true; } } if (states.current.filtered?.rescheduling?.originalState !== undefined) { if (Object.hasOwn(states.current.filtered?.rescheduling?.originalState, 'relearning')) { return true; } } return false; } function is_review() { if (states.current.normal?.review !== undefined) { if (states.current.normal?.review !== null) { return true; } } if (states.current.filtered?.rescheduling?.originalState !== undefined) { if (Object.hasOwn(states.current.filtered?.rescheduling?.originalState, 'review')) { return true; } } return false; } function is_empty() { return !customData.again.d | !customData.again.s | !customData.hard.d | !customData.hard.s | !customData.good.d | !customData.good.s | !customData.easy.d | !customData.easy.s; } function set_version() { const version = "v4.5.6"; customData.again.v = version; customData.hard.v = version; customData.good.v = version; customData.easy.v = version; } function get_deckname() { if (typeof ctx !== 'undefined' && ctx.deckName) { return ctx.deckName; } else if (document.getElementById("deck") !== null && document.getElementById("deck").getAttribute("deck_name")) { return document.getElementById("deck").getAttribute("deck_name"); } else { return null; } } function get_seed() { if (!customData.again.seed | !customData.hard.seed | !customData.good.seed | !customData.easy.seed) { if (typeof ctx !== 'undefined' && ctx.seed) { return ctx.seed; } else { return document.getElementById("qa").innerText; } } else { return customData.good.seed; } } function set_fuzz_factor() { // Note: Originally copied from seedrandom.js package (https://github.com/davidbau/seedrandom) !function(f,a,c){var s,l=256,p="random",d=c.pow(l,6),g=c.pow(2,52),y=2g,h=l-1;function n(n,t,r){function e(){for(var n=u.g(6),t=d,r=0;n<g;)n=(n+r)l,t=l,r=u.g(1);for(;y<=n;)n/=2,t/=2,r>>>=1;return(n+r)/t}var o=[],i=j(function n(t,r){var e,o=[],i=typeof t;if(r&&"object"==i)for(e in t)try{o.push(n(t[e],r-1))}catch(n){}return o.length?o:"string"==i?t:t+"\0"}((t=1==t?{entropy:!0}:t||{}).entropy?[n,S(a)]:null==n?function(){try{var n;return s&&(n=s.randomBytes)?n=n(l):(n=new Uint8Array(l),(f.crypto||f.msCrypto).getRandomValues(n)),S(n)}catch(n){var t=f.navigator,r=t&&t.plugins;return[+new Date,f,r,f.screen,S(a)]}}():n,3),o),u=new m(o);return e.int32=function(){return 0|u.g(4)},e.quick=function(){return u.g(4)/4294967296},e.double=e,j(S(u.S),a),(t.pass||r||function(n,t,r,e){return e&&(e.S&&v(e,u),n.state=function(){return v(u,{})}),r?(c[p]=n,t):n})(e,i,"global"in t?t.global:this==c,t.state)}function m(n){var t,r=n.length,u=this,e=0,o=u.i=u.j=0,i=u.S=[];for(r||(n=[r++]);e<l;)i[e]=e++;for(e=0;e<l;e++)i[e]=i[o=h&o+n[e%r]+(t=i[e])],i[o]=t;(u.g=function(n){for(var t,r=0,e=u.i,o=u.j,i=u.S;n--;)t=i[e=h&e+1],r=rl+i[h&(i[e]=i[o=h&o+t])+(i[o]=t)];return u.i=e,u.j=o,r})(l)}function v(n,t){return t.i=n.i,t.j=n.j,t.S=n.S.slice(),t}function j(n,t){for(var r,e=n+"",o=0;o<e.length;)t[h&o]=h&(r^=19t[h&o])+e.charCodeAt(o++);return S(t)}function S(n){return String.fromCharCode.apply(0,n)}if(j(c.random(),a),"object"==typeof module&&module.exports){module.exports=n;try{s=require("crypto")}catch(n){}}else"function"==typeof define&&define.amd?define(function(){return n}):c["seed"+p]=n}("undefined"!=typeof self?self:this,[],Math); // MIT License // Copyright 2019 David Bau. // Permission is hereby granted, free of charge, to any person obtaining a copy // of this software and associated documentation files (the "Software"), to deal // in the Software without restriction, including without limitation the rights // to use, copy, modify, merge, publish, distribute, sublicense, and/or sell // copies of the Software, and to permit persons to whom the Software is // furnished to do so, subject to the following conditions: // The above copyright notice and this permission notice shall be included in all // copies or substantial portions of the Software. // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR // IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, // FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE // AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER // LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, // OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE // SOFTWARE. let seed = get_seed(); const generator = new Math.seedrandom(seed); const fuzz_factor = generator(); seed = Math.round(fuzz_factor * 10000); customData.again.seed = (seed + 1) % 10000; customData.hard.seed = (seed + 2) % 10000; customData.good.seed = (seed + 3) % 10000; customData.easy.seed = (seed + 4) % 10000; return fuzz_factor; }

[L-M-Sherlock]

Please remove this configuration, because it is still v3 parameters.

,
{
// Example 2: User's custom parameters for this deck and its sub-decks.
// Don't omit any keys.
"deckName": "ALL::Archive",
"w": [1.2879, 0.5135, 4.9532, -1.502, -1.0922, 0.0081, 1.3771, -0.0294, 0.6718, 1.8335, -0.4066, 0.7291, 0.5517],
"requestRetention": 0.9,
"maximumInterval": 36500,
"easyBonus": 1.3,
"hardInterval": 1.2,
}

[phamousq]

FSRS works as normal after removing the v3 parameters. Thanks!