banananetwork
/
ac-nh-turnip-prices
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Merge pull request #93 from theRTC204/switch-to-intceil

Browse Source 
feat: Implements a more true to game code intceil calculation
master
Mike Bryant 4 years ago committed by GitHub
parent b6c92ea82f 0d9e0d8f8d
commit af774022a0
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 30 additions and 26 deletions
Show Stats Download Patch File Download Diff File

56
js/predictions.js
Unescape Escape View File

@ -39,6 +39,10 @@ const PROBABILITY_MATRIX = {
},
};
function intceil(val) {
return Math.trunc(val + 0.99999);
}
function minimum_rate_from_given_and_base(given_price, buy_price) {
return 10000 * (given_price - 1) / buy_price;
}
@ -98,8 +102,8 @@ function* generate_pattern_0_with_lengths(given_prices, high_phase_1_len, dec_ph
// High Phase 1
for (var i = 2; i < 2 + high_phase_1_len; i++) {
min_pred = Math.floor(0.9 * buy_price);
max_pred = Math.ceil(1.4 * buy_price);
min_pred = intceil(0.9 * buy_price);
max_pred = intceil(1.4 * buy_price);
if (!isNaN(given_prices[i])) {
if (given_prices[i] < min_pred || given_prices[i] > max_pred) {
// Given price is out of predicted range, so this is the wrong pattern
@ -119,8 +123,8 @@ function* generate_pattern_0_with_lengths(given_prices, high_phase_1_len, dec_ph
var min_rate = 6000;
var max_rate = 8000;
for (var i = 2 + high_phase_1_len; i < 2 + high_phase_1_len + dec_phase_1_len; i++) {
min_pred = Math.floor(min_rate * buy_price / 10000);
max_pred = Math.ceil(max_rate * buy_price / 10000);
min_pred = intceil(min_rate * buy_price / 10000);
max_pred = intceil(max_rate * buy_price / 10000);
if (!isNaN(given_prices[i])) {
@ -145,8 +149,8 @@ function* generate_pattern_0_with_lengths(given_prices, high_phase_1_len, dec_ph
// High Phase 2
for (var i = 2 + high_phase_1_len + dec_phase_1_len; i < 2 + high_phase_1_len + dec_phase_1_len + high_phase_2_len; i++) {
min_pred = Math.floor(0.9 * buy_price);
max_pred = Math.ceil(1.4 * buy_price);
min_pred = intceil(0.9 * buy_price);
max_pred = intceil(1.4 * buy_price);
if (!isNaN(given_prices[i])) {
if (given_prices[i] < min_pred || given_prices[i] > max_pred) {
// Given price is out of predicted range, so this is the wrong pattern
@ -166,8 +170,8 @@ function* generate_pattern_0_with_lengths(given_prices, high_phase_1_len, dec_ph
var min_rate = 6000;
var max_rate = 8000;
for (var i = 2 + high_phase_1_len + dec_phase_1_len + high_phase_2_len; i < 2 + high_phase_1_len + dec_phase_1_len + high_phase_2_len + dec_phase_2_len; i++) {
min_pred = Math.floor(min_rate * buy_price / 10000);
max_pred = Math.ceil(max_rate * buy_price / 10000);
min_pred = intceil(min_rate * buy_price / 10000);
max_pred = intceil(max_rate * buy_price / 10000);
if (!isNaN(given_prices[i])) {
@ -195,8 +199,8 @@ function* generate_pattern_0_with_lengths(given_prices, high_phase_1_len, dec_ph
throw new Error("Phase lengths don't add up");
}
for (var i = 2 + high_phase_1_len + dec_phase_1_len + high_phase_2_len + dec_phase_2_len; i < 14; i++) {
min_pred = Math.floor(0.9 * buy_price);
max_pred = Math.ceil(1.4 * buy_price);
min_pred = intceil(0.9 * buy_price);
max_pred = intceil(1.4 * buy_price);
if (!isNaN(given_prices[i])) {
if (given_prices[i] < min_pred || given_prices[i] > max_pred) {
// Given price is out of predicted range, so this is the wrong pattern
@ -273,8 +277,8 @@ function* generate_pattern_1_with_peak(given_prices, peak_start) {
var max_rate = 9000;
for (var i = 2; i < peak_start; i++) {
min_pred = Math.floor(min_rate * buy_price / 10000);
max_pred = Math.ceil(max_rate * buy_price / 10000);
min_pred = intceil(min_rate * buy_price / 10000);
max_pred = intceil(max_rate * buy_price / 10000);
if (!isNaN(given_prices[i])) {
@ -301,8 +305,8 @@ function* generate_pattern_1_with_peak(given_prices, peak_start) {
min_randoms = [0.9, 1.4, 2.0, 1.4, 0.9, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4]
max_randoms = [1.4, 2.0, 6.0, 2.0, 1.4, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9]
for (var i = peak_start; i < 14; i++) {
min_pred = Math.floor(min_randoms[i - peak_start] * buy_price);
max_pred = Math.ceil(max_randoms[i - peak_start] * buy_price);
min_pred = intceil(min_randoms[i - peak_start] * buy_price);
max_pred = intceil(max_randoms[i - peak_start] * buy_price);
if (!isNaN(given_prices[i])) {
if (given_prices[i] < min_pred || given_prices[i] > max_pred) {
@ -361,8 +365,8 @@ function* generate_pattern_2(given_prices) {
var min_rate = 8500;
var max_rate = 9000;
for (var i = 2; i < 14; i++) {
min_pred = Math.floor(min_rate * buy_price / 10000);
max_pred = Math.ceil(max_rate * buy_price / 10000);
min_pred = intceil(min_rate * buy_price / 10000);
max_pred = intceil(max_rate * buy_price / 10000);
if (!isNaN(given_prices[i])) {
@ -439,8 +443,8 @@ function* generate_pattern_3_with_peak(given_prices, peak_start) {
var max_rate = 9000;
for (var i = 2; i < peak_start; i++) {
min_pred = Math.floor(min_rate * buy_price / 10000);
max_pred = Math.ceil(max_rate * buy_price / 10000);
min_pred = intceil(min_rate * buy_price / 10000);
max_pred = intceil(max_rate * buy_price / 10000);
if (!isNaN(given_prices[i])) {
@ -466,8 +470,8 @@ function* generate_pattern_3_with_peak(given_prices, peak_start) {
// The peak
for (var i = peak_start; i < peak_start + 2; i++) {
min_pred = Math.floor(0.9 * buy_price);
max_pred = Math.ceil(1.4 * buy_price);
min_pred = intceil(0.9 * buy_price);
max_pred = intceil(1.4 * buy_price);
if (!isNaN(given_prices[i])) {
if (given_prices[i] < min_pred || given_prices[i] > max_pred) {
// Given price is out of predicted range, so this is the wrong pattern
@ -484,8 +488,8 @@ function* generate_pattern_3_with_peak(given_prices, peak_start) {
}
// Main spike 1
min_pred = Math.floor(1.4 * buy_price) - 1;
max_pred = Math.ceil(2.0 * buy_price) - 1;
min_pred = intceil(1.4 * buy_price) - 1;
max_pred = intceil(2.0 * buy_price) - 1;
if (!isNaN(given_prices[peak_start + 2])) {
if (given_prices[peak_start + 2] < min_pred || given_prices[peak_start + 2] > max_pred) {
// Given price is out of predicted range, so this is the wrong pattern
@ -501,7 +505,7 @@ function* generate_pattern_3_with_peak(given_prices, peak_start) {
// Main spike 2
min_pred = predicted_prices[peak_start + 2].min;
max_pred = Math.ceil(2.0 * buy_price);
max_pred = intceil(2.0 * buy_price);
if (!isNaN(given_prices[peak_start + 3])) {
if (given_prices[peak_start + 3] < min_pred || given_prices[peak_start + 3] > max_pred) {
// Given price is out of predicted range, so this is the wrong pattern
@ -516,7 +520,7 @@ function* generate_pattern_3_with_peak(given_prices, peak_start) {
});
// Main spike 3
min_pred = Math.floor(1.4 * buy_price) - 1;
min_pred = intceil(1.4 * buy_price) - 1;
max_pred = predicted_prices[peak_start + 3].max - 1;
if (!isNaN(given_prices[peak_start + 4])) {
if (given_prices[peak_start + 4] < min_pred || given_prices[peak_start + 4] > max_pred) {
@ -536,8 +540,8 @@ function* generate_pattern_3_with_peak(given_prices, peak_start) {
var max_rate = 9000;
for (var i = peak_start + 5; i < 14; i++) {
min_pred = Math.floor(min_rate * buy_price / 10000);
max_pred = Math.ceil(max_rate * buy_price / 10000);
min_pred = intceil(min_rate * buy_price / 10000);
max_pred = intceil(max_rate * buy_price / 10000);
if (!isNaN(given_prices[i])) {

Write Preview
Loading…
Cancel
Save