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#include <stdio.h> | |
#include <math.h> | |
int main() { | |
int t, a, b, b2, b4, s, p; | |
scanf("%d", &t); | |
typedef double d; | |
while(t--) { | |
scanf("%d %d", &a, &b); | |
a %= 10; | |
b2 = (b>2)?b%2:b; |
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--->->>->++++++++++++++++++++++++++++>++>-->+>++ | |
+++++>++>-->++++++++++++++++++>+++++++>+++++++++ | |
++++++++++++>-->++++++++>+++++++++>++++++++++>++++++++>+++++ | |
+>++++++++++++>++++++>+>+++++++>++++++++++>+++++>-->++++++++ | |
+>++++++>++>->++++++++++++>++>+++++++++++++>-->++++++++>>+++ | |
++++++++++>-->++++++++++++++>>+++++++++++>+>+++++++++ |
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require 'rubygems' | |
require 'nokogiri' | |
require 'open-uri' | |
require 'net/http' | |
class NokoLinkSet < Nokogiri::XML::NodeSet | |
# Create new LinkSet object from the url and the selector | |
def initialize(url, selector) | |
if not ( url.nil? and selector.nil? ) | |
@raw_html = open(url) |
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README.ext | |
http://svn.ruby-lang.org/cgi-bin/viewvc.cgi/tags/v1_8_6/README.EXT?revision=12055 | |
Extending Ruby - Pickaxe | |
http://ruby-doc.org/docs/ProgrammingRuby/html/ext_ruby.html | |
Extending Ruby on O'Reilly | |
http://onlamp.com/pub/a/onlamp/2004/11/18/extending_ruby.html | |
Ruby C Extensions - Mark Volkman |
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=Navigating= | |
visit('/projects') | |
visit(post_comments_path(post)) | |
=Clicking links and buttons= | |
click_link('id-of-link') | |
click_link('Link Text') | |
click_button('Save') | |
click('Link Text') # Click either a link or a button | |
click('Button Value') |
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// | |
// breakout.c | |
// | |
// Computer Science 50 | |
// Problem Set 3 | |
// | |
// standard libraries | |
#define _XOPEN_SOURCE | |
#include <stdio.h> |
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require 'matrix' | |
module NumericUnicodeSubscripts | |
UNICODE_SUBSCRIPTS_0_TO_9 = [ | |
"\u2080", | |
"\u2081", | |
"\u2082", | |
"\u2083", | |
"\u2084", | |
"\u2085", |
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Pending: (Failures listed here are expected and do not affect your suite's status) | |
1) Distribution::Uniform singleton it should behave like uniform engine .rng should generate sequences with the right mean & variance | |
# This method is very innacurrate due to the low convergence rate | |
# ./spec/uniform_spec.rb:8 | |
2) Distribution::Uniform Distribution::Uniform::Ruby_ it should behave like uniform engine .rng should generate sequences with the right mean & variance | |
# This method is very innacurrate due to the low convergence rate | |
# ./spec/uniform_spec.rb:8 |
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module GoodnessOfFit | |
# All goodness of fit helpers go here | |
## Pearson's chi squared test for goodness of fit | |
# == References | |
# * http://stattrek.com/chi-square-test/goodness-of-fit.aspx?Tutorial=AP | |
# * https://en.wikipedia.org/wiki/Degrees_of_freedom_(statistics)#Residuals | |
# | |
# The null hypothesis is always that the +candidate+ does belong to | |
# the +target+ distribution. |
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def rb_rand_entropy(num_trials) | |
a = Array.new(num_trials) {rand(100)} | |
p = [] | |
0.upto(99) do |i| | |
p[i] = a.count(i) / num_trials.to_f | |
end | |
return p.map {|c| -c * Math.log(c)}.reduce(:+) | |
end |
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