tug = ["bookmark", "move", "--from", "closest_bookmark(@-)", "--to", "@-"]
# Show my current work-in-progress(es). To wip it, whip it good.
wips = ["log", "-r", "bookmarks() | description(exact:'')"]for y in range(10):
s=''
for x in range(25):
a=[]
for q in range(2):
z=c=x/25*3-2+1j*((y*2+q)/10-1);n=40
while n and abs(z)<2:z=z*z+c;n-=1
a+=[n<5]
s+=" โโโ"[a[0]+2*a[1]]
print(s)
โโ
โโโโโโโโ
โ โโโโโโโโโ
โโโโโโโโโโโโโ
โโโโโโโโโโโโโโโโโโโ
โโโ โโโโโโโโโ
โโโโโโโโ
โ โโโโ
โโlet N=6,D0=[0,1,0,-1],D1=[1,0,-1,0],s=[],g={},d=x=y=xa=xb=ya=yb=0;
for(let n=0;n<N;n++){s=s.concat([1]).concat(s.map(x=>!x).reverse())}
for(let i=0;i<s.length;i++) {
x<xa && (xa=x);y<ya && (ya=y);x>xb && (xb=x);y>yb && (yb=y);
let t=s[i]?1:-1,e=(d+t+4)%4;
g[x]||(g[x]={});
g[x][y]=g[x][y]?"โผ":"โโโโ"[(t*(D0[d]+D0[e])>0?0:2)+(t*(D1[d]+D1[e])>0?0:1)];
x+=D0[e];y+=D1[e];d=e;
}
for(j=yb;j>=ya;j--) {
let u=""; for(i=xa;i<=xb;i++){u+=(g[i][j]||"ยท")} console.log(u);
}ยทโโโโยทยทยทยทยทยทยท
โโโโผโยทยทยทยทโโยท
โยทยทโโโโยทยทยทโโ
ยทยทยทโโผโผโยทยทยทโโ
ยทยทยทโโผโผโโโโโผโ
ยทยทยทโโผโโโผโผโโโ
ยทยทยทโโผโยทโโผโยทยท
ยทยทยทยทโโยทยทโโยทยทreplied to:i dont think its all talk, these are smart people that have been in ai since the 2000s, and they raise good points. current incentive structures are very dangerous long term
130 PRINT "You have been eaten by a bear!" : GOTO 900. Yes there is spaghetti, but it's their spaghetti and they seem to take delight in debugging it. Python will come later.