L-M-Sherlock
commented
1 year ago Could you paste your custom scheduling code here? I guess you input an extra bracket in the parameters.
Closed persio809 closed 1 year ago
L-M-Sherlock
commented
1 year ago Could you paste your custom scheduling code here? I guess you input an extra bracket in the parameters.
persio809
commented
1 year ago sure:
// 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": [[0.3463, 2.8968, 5.6495, 48.5476, 4.6341, 0.7031, 1.2669, 0.0, 1.6751, 0.1536, 1.0689, 2.1132, 0.1021, 0.3183, 0.8856, 0.3386, 3.6744]],
// 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": 0.9, // recommended setting: 0.75 ~ 0.95
"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,
}
];
// 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 = true;
// 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 = "<br>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 += "<br>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 += "<br>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 += "<br>D: " + last_d + "<br>S: " + last_s + "<br>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=2*g,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=r*l+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^=19*t[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;
}Thank you!
L-M-Sherlock
commented
1 year ago "w": [[0.3463, 2.8968, 5.6495, 48.5476, 4.6341, 0.7031, 1.2669, 0.0, 1.6751, 0.1536, 1.0689, 2.1132, 0.1021, 0.3183, 0.8856, 0.3386, 3.6744]],
Please remove the extra [ and ].
persio809
commented
1 year ago Yes, it was that, now it works :D Thank you so much!
Hello! I've just installed FSRS4Anki and FSRS4Anki Helper for the first time, after using the default scheduler for more than one year. I followed FSRS4Anki tutorial, used hugging face for processing. Then installed FSRS4Anki Helper and tried to reschedule all the cards but I get the following error and it doesn't allow me to sync unless I disable the Helper addon.