yagays

#/usr/bin/env ruby

# usage:
# ruby rand_fastq.rb hoge.fasta > random.fastq

require 'bio'

genome = ""
read_length = 100
read_count = 10000000

yagays

#/usr/bin/env ruby

require "optparse"

def v(s)
  if s == "NaN"
    return s
  elsif s.include?("%")
    return s.gsub("%","").to_f
  else

yagays

# Convert tex formula into google chart API format (Jekyll/Octopress plugin)
#
# Usage: {% gctex tex_formula %}
#
# Author: yag_ays (yanagi.ayase [at] gmail.com)
# blog: http://yagays.github.com/
#
# Ref: http://d.hatena.ne.jp/repose/20110506/1304612242

require "cgi"

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#/usr/bin/env ruby

require 'pp'

def segment(text, segs)
  words = []
  last = 0
  for i in 0..segs.length
    if segs[i] == "1"
      words << text[last..i]

yagays

#include <stdio.h>
#include <time.h>

double A[1024][1024];

int
main(){
	int i,j,k;
	k = 0;
	clock_t start,end;

yagays

import math
import numpy as np

def mv_norm(x, mu, sigma):
	norm1 = 1 / (math.pow(2 * math.pi, len(x)/2.0) * math.pow(np.linalg.det(sigma), 1.0/2.0))
	x_mu = np.matrix(x-mu)
	norm2 = np.exp(-0.5 * x_mu * sigma.I * x_mu.T)
	return float(norm1 * norm2)

# test data

yagays

# -*- encoding: utf-8 -*-
#/usr/bin/env ruby

require 'yaml'

radio_dir = "/path/to/radio"
rtmpdump = "/path/to/rtmpdump"
agqr_stream_url = "rtmp://fms-base1.mitene.ad.jp/agqr/aandg22"
schedule = "schedule.yaml"
ffmpeg = "/path/to/ffmpeg"

yagays

require 'open-uri'
require 'Nokogiri'
require 'pp'

uri = "http://www.agqr.jp/timetable/digital-mf.php"
html = Nokogiri::HTML(open(uri),nil,"utf-8")

html.xpath("//table[@id='timeline']/tbody/tr").each do |timeline|
    puts "=============="
    if timeline.xpath("th").text != ""

yagays

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import feedparser
import pymongo
import datetime

anond_feed = feedparser.parse("http://anond.hatelabo.jp/rss")
client = pymongo.MongoClient()
db = client["anond"]

yagays

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import sys

# File format : GROUPID,GOODSID,VIEWRATE,BUYRATE
# Usage : calculate_score.py target.csv predict.csv

def read_submit_file(submit_file):
    viewrate = {}