Created
November 17, 2017 02:33
-
-
Save vznvzn/b9a64702064dfa9dcc7844d5c0e66f40 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
require 'matrix' | |
def f2(n) | |
return n.odd? ? (n * 3 + 1) / 2 : n / 2 | |
end | |
def dense(w, d) | |
w2 = w - 1 | |
a = (0...w2).to_a | |
s = '0' * w2 | |
(1..(d * w - 1)).map { a.delete_at(rand(a.size)) }.each { |x| s[x, 1] = '1' } | |
return ('1' + s).to_i(2) | |
end | |
def stat(l) | |
l = [0] if (l.empty?) | |
t = t2 = 0 | |
l.each \ | |
{ | |
|x| | |
t += x | |
t2 += x ** 2 | |
} | |
c = l.size | |
a = t.to_f / c | |
z = t2.to_f / c - a ** 2 | |
sd = Math.sqrt(z < 0 ? 0 : z) | |
return a, sd, l.max.to_f, l.min.to_f | |
end | |
def stat2(l, t, n) | |
return Hash[[["a#{n}", "sd#{n}", "mx#{n}"], stat(l)[0..2].map { |x| x / t }].transpose] | |
end | |
def d(s) | |
c = s.split('').select { |x| x == '1' }.size | |
d = c.to_f / s.length | |
return d | |
end | |
def count(n) | |
c = 0 | |
n1 = n | |
l = [n] | |
begin | |
n = f2(n) | |
l << n | |
c += 1 | |
end while n > n1 | |
j = (0...l.size).max_by { |x| l[x] } | |
return {'c' => c, 'n' => n1} | |
end | |
def data(n) | |
ns = n.to_s(2) | |
nl = ns.length | |
m = nl / 2 | |
nsh = ns[0..m] | |
nsl = ns[m..-1] | |
asdm1 = stat2(ns.split(/0+/).map { |x| x.length }, nl, 1) | |
l1 = ns.split(/1+/) | |
l1.shift | |
asdm0 = stat2(l1.map { |x| x.length }, nl, 0) | |
return {'n' => n, 'ns' => ns, 'nl' => nl, 'd' => d(ns), 'dh' => d(nsh), 'dl' => d(nsl)}.merge(asdm1).merge(asdm0) | |
end | |
def data2(n) | |
return data(n).merge(count(n)) | |
end | |
def dist(c) | |
return (0...c).map { |i| count(dense(200, i.to_f / (c - 1))) } | |
end | |
def sum(l) | |
t = 0.0 | |
l.each { |x| t += x } | |
return t | |
end | |
def real(x) | |
raise x.imag.to_s if (x.imag > 1e-15) | |
return x.real | |
end | |
def fmt(n) | |
n.real? ? sprintf("%.3g", n) : sprintf("(%.3g %.3gi)", n.real, n.imag) | |
end | |
def detect2(n, v, d, vi, xz, vx) | |
x = data(n) | |
x['wr'] = 1.0 | |
nl = 1.0 | |
y0 = Matrix[vx.map { |k| x[k] }].transpose - xz | |
t = 1 | |
y = nil | |
begin | |
at = v * (d ** t) * vi | |
y = at * y0 | |
yn = y.column(0).norm | |
yd = y.column(0) / yn - v.column(0) | |
yh = Hash[[vx, yd.to_a].transpose].merge({'y_n' => yn, 'yd_n' => yd.norm}) | |
y2 = y + xz | |
x1 = Hash[[vx, y2.column(0).to_a].transpose] | |
nl *= x1['wr'] | |
x1['nl'] = nl | |
break if (nl.abs < 1.0) | |
t += 1 | |
end while (t < 100) | |
return {'t' => t, 'yn' => (y - y0).column(0).norm} | |
end | |
def out(fn, a) | |
f = File.open(fn, 'a') | |
f.puts(a.keys.join("\t")) if (f.size == 0) | |
f.puts(a.values.join("\t")) | |
f.close | |
end | |
def sample(n) | |
l2 = [] | |
n.times \ | |
{ | |
l = dist(500) | |
l.sort_by! { |x| -x['c'] } | |
l2 += l[0...50] | |
} | |
l = [] | |
l1 = l2.map { |x| x['c'] } | |
mn = l1.min | |
mx = l1.max | |
(0..100).each \ | |
{ | |
|i| | |
d = i.to_f / 100 | |
x1 = nil | |
begin | |
j = (0...l2.size).min_by { |x| ((l2[x]['c'].to_f - mn) / (mx - mn) - d).abs } | |
break if (j.nil?) | |
x1 = l2.delete_at(j) | |
end while (!l.select { |x| x['n'] == x1['n'] }.empty?) | |
l << x1 if (!x1.nil?) | |
} | |
return l.sort_by { |x| -x['c'] } | |
end | |
raise if (ARGV[0].nil?) | |
d = "out/#{ARGV[0]}" | |
l = Dir.glob("#{d}/*").select { |x| x =~ /out\d+.txt$/} | |
n = l.size | |
i = n - 1 | |
a = Kernel.eval(File.open("#{d}/out#{i}.txt").readlines[0]) | |
l = a['lb'].map { |x| x.size } | |
raise if (sum(l) != 0) | |
vx = a['v'] + ['wr'] | |
$vxn = Hash[[vx + ['c'], (0..vx.size).to_a].transpose] | |
am = (1..vx.size).map { [0] * vx.size } | |
vx.each { |x| (vx + ['c']).each { |y| am[$vxn[x]][$vxn[y]] = a[x][y] if (!a[x][y].nil?) } } | |
am = am.transpose | |
b = am.pop | |
am = am.transpose | |
#$stderr.puts(['vx', vx].inspect) | |
#$stderr.puts(['am', am].inspect) | |
#$stderr.puts(['b', b].inspect) | |
v, d, vi = Matrix[*am].eigen | |
xz = (Matrix.identity(vx.size) - Matrix[*am]).inverse * Matrix[b].transpose | |
File.open(fn = 'out.txt', 'w').close | |
sample(10).each_with_index \ | |
{ | |
|x, i| | |
out(fn, {'i' => i, 'c' => x['c'], 'd' => d(x['n'].to_s(2))}.merge(detect2(x['n'], v, d, vi, xz, vx))) | |
} | |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment