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Fix small quirk/bug with skillpoints behavior when you delete it instead of typing 0

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hppeng 2022-02-13 10:47:23 -08:00
parent 303bf558b5
commit 9191cd7f4d
2 changed files with 13 additions and 8 deletions
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4
js/builder.js
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@ -588,14 +588,14 @@ function updateStats() {
let delta_total = 0; let delta_total = 0;
for (let i in skp_order) { for (let i in skp_order) {
let value = document.getElementById(skp_order[i] + "-skp").value; let value = document.getElementById(skp_order[i] + "-skp").value;
if (value === ""){value = 0; setValue(skp_order[i] + "-skp", value)} if (value === ""){value = "0"; setValue(skp_order[i] + "-skp", value)}
let manual_assigned = 0; let manual_assigned = 0;
if (value.includes("+")) { if (value.includes("+")) {
let skp = value.split("+"); let skp = value.split("+");
for (const s of skp) { for (const s of skp) {
manual_assigned += parseInt(s,10); manual_assigned += parseInt(s,10);
} }
} else { } else {
manual_assigned = parseInt(value,10); manual_assigned = parseInt(value,10);
} }
let delta = manual_assigned - skillpoints[i]; let delta = manual_assigned - skillpoints[i];

17
testing/ms_sslow.py
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@ -3,9 +3,9 @@ import numpy.linalg as la
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
# Super slow attack speed. (Idealized to 1 hit/2s, 2/3 chance of proc # Super slow attack speed. (Idealized to 1 hit/2s, 2/3 chance of proc
mana_consumption = 3 mana_consumption = 6
mana_steal = 5 # /3s mana_steal = 14 # /3s
mana_regen = 4 # /5s mana_regen = 6 # /5s
#mana_steal = 5 # /3s #mana_steal = 5 # /3s
#mana_regen = 5 # /5s #mana_regen = 5 # /5s
natural_regen = 1 natural_regen = 1
@ -41,20 +41,25 @@ print("mana\tcumulative probability")
for i in range(MAX_MANA): for i in range(MAX_MANA):
print(f"{i+1}\t{cumulative[i]}") print(f"{i+1}\t{cumulative[i]}")
mana_limit = 6+mana_consumption
x_ticks = list(range(len(steady_state))) x_ticks = list(range(len(steady_state)))
plt.figure() plt.figure()
plt.scatter(x_ticks, steady_state, label="mana values") plt.scatter(x_ticks, steady_state, label="mana values")
plt.xlim(0, 19) plt.xlim(0, 19)
plt.ylim(0, 0.3) plt.ylim(0, 0.3)
plt.axvline(x=6+mana_consumption) plt.axvline(x=mana_limit, color="red")
plt.xlabel("Mana Value") plt.xlabel("Mana Value")
plt.xticks(x_ticks) plt.xticks(x_ticks)
plt.ylabel("Probability at t=infty") plt.ylabel("Probability at t=infty")
plt.legend() plt.legend()
ax2 = plt.gca().twinx() ax2 = plt.gca().twinx()
ax2.plot(x_ticks, cumulative, label="cumulative probability") ax2.plot(x_ticks, cumulative, label="cumulative probability", color="pink")
plt.text(mana_limit - 0.2, cumulative[mana_limit] + 0.03, f"time with sprint loss: {cumulative[mana_limit]*100:.2f}%", horizontalalignment='right')
plt.scatter((mana_limit,), (cumulative[mana_limit],), color="red")
ax2.set_ylim(0, 1) ax2.set_ylim(0, 1)
ax2.set_ylabel("Cumulative probability at t=infty") ax2.set_ylabel("Cumulative probability at t=infty")
plt.title(f"Build={mana_regen}mr,{mana_steal}ms,{mana_consumption}mana/sec") plt.title(f"Super Slow Speed: Build={mana_regen}mr,{mana_steal}ms,{mana_consumption}mana/sec")
plt.legend() plt.legend()
plt.show() plt.show()