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December 22, 2016 01:35
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require 'statsample' | |
def f2(n) | |
n = (n * 3 + 1) / 2 while (n.odd?) | |
n /= 2 while (n.even?) | |
return n | |
end | |
def adv(x) | |
n1 = n = x['n'] | |
l = [n] | |
while (n >= n1 && n != 1) | |
n = f2(n) | |
l << n | |
end | |
x['l'] = l | |
x['ls'] = l.size | |
x['ns'] = x['n'].to_s(2).length | |
return x | |
end | |
def next2(z) | |
l = [z] | |
p = z['p'] + 1 | |
l << adv({'n'=>z['n'] + 2**p, 'p'=>p}) | |
l << z.merge({'p'=>p}) | |
return l | |
end | |
def insert(l, x) | |
l << x | |
end | |
def delete(l, j) | |
z = l.delete_at(j) | |
return z | |
end | |
def sum(l) | |
t = 0 | |
l.each { |x| t += x } | |
return t | |
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 | |
end | |
def dist(l) | |
l2 = [] | |
l.each_with_index \ | |
{ | |
|x, i| | |
ls = x[1]['ls'] | |
l2[ls] = [] if (l2[ls].nil?) | |
l2[ls] << i | |
} | |
l1 = (0...l2.size).sort_by { |i| l2[i].nil? ? 0 : l2[i].size } | |
return l2, l1 | |
end | |
def rank(l1, l2) | |
l1h, l1s = dist(l1) | |
l2h, l2s = dist(l2) | |
j = l1s.find { |x| !l2h[x].nil? && (l1h[x].nil? || l1h[x].size < $n) } | |
j = l2h.size - 1 if (j.nil?) | |
k = l2s.find { |x| !l2h[x].nil? } | |
l = (0...l2.size).to_a | |
l.sort_by! { |x| l2[x][1]['ls'] } | |
k = l.find { |x| x != j } | |
return l2h[j][rand(l2h[j].size)], k | |
end | |
def opt(c) | |
l = [] | |
l1 = [] | |
insert(l, next2({'n'=>1, 'p'=>0})) | |
puts('# ' + Time.now.to_s) | |
t = Time.now.to_i | |
c.times \ | |
{ | |
|i| | |
$stderr.puts([i, sprintf('%.1fm', (Time.now.to_i - t) / 60.0), Time.now.to_s].join("\t")) if (i % 100 == 0) | |
j, k = rank(l1, l) | |
if (l.size > 1000) then | |
z2 = delete(l, [j, k].max) | |
z1 = delete(l, [j, k].min) | |
l1 += [z1, z2] | |
z = j < k ? z1 : z2 | |
else | |
z = delete(l, j) | |
l1 += [z] | |
end | |
insert(l, next2(z[1])) | |
insert(l, next2(z[2])) | |
$stdout.flush | |
} | |
puts('# ' + Time.now.to_s) | |
return l1.map { |x| x[1] } | |
end | |
def stat2(l, t) | |
return stat(l).map { |x| x / t } | |
end | |
def d(s) | |
c = s.split('').select { |x| x == '1' }.size | |
d = c.to_f / s.length | |
return d | |
end | |
def data(l, ls) | |
l2 = [] | |
l.each \ | |
{ | |
|x| | |
ns = x.to_s(2) | |
nl = ns.length | |
m = nl / 2 | |
nsh = ns[0..m] | |
nsl = ns[m..-1] | |
asdm1 = stat2(ns.split(/0+/).map { |x| x.length }, nl) | |
l1 = ns.split(/1+/) | |
l1.shift | |
asdm0 = stat2(l1.map { |x| x.length }, nl) | |
z = ls.to_f / nl | |
l2 << [nl, ls, z, d(ns), d(nsh), d(nsl), asdm1].flatten | |
} | |
return l2 | |
end | |
def fit(l1, c) | |
l1 = l1.transpose | |
a = {} | |
a['y'] = l1[c].to_vector() | |
($c...l1.size).each \ | |
{ | |
|i| | |
a["d#{i}"] = l1[i].to_vector() | |
} | |
ds = a.to_dataset() | |
r = Statsample::Regression.multiple(ds, 'y') | |
# $stderr.puts(r.summary) | |
return [r.constant] + r.coeffs.values_at(*(a.keys - ['y'])) | |
end | |
def err(z, l1, c, fn) | |
e1 = e2 = 0 | |
z = z.dup | |
c1 = z.shift | |
i2 = 0 | |
l = [] | |
l1.each_with_index \ | |
{ | |
|l2, j| | |
nl, ls = l2 | |
t = c1 | |
z.size.times { |i| t += z[i] * l2[i + $c] } | |
a = fn.call(l2[c], nl) | |
b = fn.call(t, nl) | |
e1 += (l2[c] - t).abs | |
e2 += (a - b).abs | |
l << [nl, ls, l2[c], t, a, b, e1 / (j + 1), e2 / (j + 1)] | |
} | |
return l | |
end | |
def samplefit(c) | |
l = opt(c) | |
h = {} | |
l.each \ | |
{ | |
|x| | |
x['l'].reverse.each_with_index { |y, i| h[i + 1] = h.fetch(i + 1, []) | [y] } | |
} | |
# h.sort.each { |k, v| p([k, v.size]) }; exit | |
l2 = [] | |
l3 = [] | |
l3b = [] | |
c1 = 10 | |
h1 = h.select { |k, v| v.size >= c1 } | |
h1.each_with_index \ | |
{ | |
|kv, n| | |
k, v = kv | |
l1 = v.sort | |
# if (n < h1.size / 2) then | |
j = l1.size / 2 | |
l0 = l1.values_at(j - 1, j, j) | |
l3 << [k, l0] | |
l2 += data(l0, k) | |
# end | |
l0 = [] | |
c1.times \ | |
{ | |
|i| | |
l0 << l1[(i.to_f / (c1 - 1) * (l1.size - 1)).to_i] | |
} | |
l3b << [k, l0] | |
} | |
f = File.open('out2.txt', 'w') | |
l2.each { |x| f.puts(x.join("\t")) } | |
f.close | |
$stderr.puts("#{l2.size} pts") | |
$c = 3 | |
z = fit(l2, $c - 1) | |
l4 = err(z, l2, $c - 1, lambda { |x, nl| x * nl }) | |
f = File.open('out3.txt', 'w') | |
l4.each { |x| f.puts(x.join("\t")) } | |
f.close | |
return z, l3, l3b | |
end | |
def adv2(n, c) | |
l = [n] | |
(c - 1).times \ | |
{ | |
n = f2(n) | |
l << n | |
} | |
return l | |
end | |
def avg(l) | |
return sum(l) / l.size | |
end | |
def improve(z, l3) | |
l = l3.select { |x| x[0] >= $n } | |
$stderr.puts("#{l.size} pts2") | |
l.each \ | |
{ | |
|ls, l| | |
l.each \ | |
{ | |
|n| | |
l2 = data(adv2(n, $n), ls) | |
l1 = err(z, l2, $c - 1, lambda { |x, nl| x * nl }) | |
l0 = (0...$n).map { |i| l1[i][5] + i } | |
puts([ls, avg(l0)].join("\t")) | |
} | |
puts | |
} | |
end | |
def compare() | |
$n = 20 | |
z, l3, l3b = samplefit(1500) | |
improve(z, l3) | |
improve(z, l3b) | |
end | |
l2 = compare() | |
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