So basically I use the global variable intervalTest so I can change how I display my card depending on the current interval, however it’s not working properly.
Here’s the code( it’s FSRS scheduler, also for some reason a different position of this variable interfers with the scheduler and I don’t get why)
globalThis.intervalTest = 0;
// FSRS4Anki v3.9.6 Scheduler Qt6
set_version();
// The latest version will be released on https://github.com/open-spaced-repetition/fsrs4anki
// Default parameters of FSRS4Anki for global
var w = [1.1785, 1.3405, 4.6045, -0.3688, -0.7231, 0.0669, 1.8734, -0.024, 1.2182, 2.0299, -0.1735, 0.5375, 0.9904];
// The above parameters can be optimized via FSRS4Anki optimizer.
// User's custom parameters for global
let requestRetention = 0.9; // recommended setting: 0.8 ~ 0.9
let maximumInterval = 36500;
let easyBonus = 1.3;
let hardInterval = 1.2;
// FSRS only modifies the long-term scheduling. So (re)learning steps in deck options work as usual.
// I recommend not to set steps longer than one day.
// "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;
debugger;
// get the name of the card's deck
// need to add <div id=deck deck_name="{{Deck}}"></div> to your card's front template's first line
if (document.getElementById("deck") !== null) {
const deck_name = document.getElementById("deck").getAttribute("deck_name");
// parameters for a specific deck
if (deck_name == "ALL::Learning::English::Reading") {
var w = [1.1475, 1.401, 5.1483, -1.4221, -1.2282, 0.035, 1.4668, -0.1286, 0.7539, 1.9671, -0.2307, 0.32, 0.9451];
// User's custom parameters for the specific deck
requestRetention = 0.9;
maximumInterval = 36500;
easyBonus = 1.3;
hardInterval = 1.2;
// parameters for a deck's all sub-decks
} else if (deck_name.startsWith("ALL::Archive")) {
var 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];
// User's custom parameters for sub-decks
requestRetention = 0.9;
maximumInterval = 36500;
easyBonus = 1.3;
hardInterval = 1.2;
}
}
// auto-calculate intervalModifier
const intervalModifier = Math.log(requestRetention) / Math.log(0.9);
// 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 * easyBonus), 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 * easyBonus), 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;
globalThis.intervalTest = interval;
const last_d = customData.again.d;
const last_s = customData.again.s;
const retrievability = Math.exp(Math.log(0.9) * interval / last_s);
const lapses = states.again.normal?.relearning.review.lapses ? states.again.normal.relearning.review.lapses : states.again.filtered.rescheduling.originalState.relearning.review.lapses;
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);
customData.good.d = next_difficulty(last_d, "good");
customData.good.s = next_recall_stability(customData.good.d, last_s, retrievability);
customData.easy.d = next_difficulty(last_d, "easy");
customData.easy.s = next_recall_stability(customData.easy.d, last_s, retrievability);
let hard_interval = next_interval(last_s * hardInterval);
let good_interval = next_interval(customData.good.s);
let easy_interval = next_interval(customData.easy.s * easyBonus)
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);
const min_ivl = Math.max(2, Math.round(ivl * 0.95 - 1));
const max_ivl = Math.round(ivl * 1.05 + 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[4] * (ratings[rating] - 3);
return constrain_difficulty(mean_reversion(w[2], next_d));
}
function mean_reversion(init, current) {
return w[5] * init + (1 - w[5]) * current;
}
function next_recall_stability(d, s, r) {
return +(s * (1 + Math.exp(w[6]) *
(11 - d) *
Math.pow(s, w[7]) *
(Math.exp((1 - r) * w[8]) - 1))).toFixed(2);
}
function next_forget_stability(d, s, r) {
return +(w[9] * Math.pow(d, w[10]) * Math.pow(
s, w[11]) * Math.exp((1 - r) * w[12])).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[2] + w[3] * (ratings[rating] - 3)).toFixed(2);
}
function init_stability(rating) {
return +Math.max(w[0] + w[1] * (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[6]) * Math.pow(old_s, w[7]) * (Math.exp(0.1 * w[8]) - 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 = "3.9.6";
customData.again.v = version;
customData.hard.v = version;
customData.good.v = version;
customData.easy.v = version;
}
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 = !customData.again.seed | !customData.hard.seed | !customData.good.seed | !customData.easy.seed ? document.getElementById("qa").innerText : customData.good.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;
}
