I'm really interested to play around with textlog for a bit. I miss the space that once was Twitter and its constraints. Let's see if we find any users here ... ;)
Any conversation
signals. thinking about shifting my mental framework to identify signals instead of waiting for concepts to be assembled. exploring the amount of energy and opportunities for distractions through the operations of processing what just happened and what is happening to short circuit latent and unnecessary systems. cut through the assembly processes and identify the raw signals. recognizing that naming these "raw signals" is misleading. maybe, shifting observability lower in the stack.
๐
let 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
ยทยทยทยทโโยทยทโโยทยท


