Eric Wong mtrbean

## uuid.php
function UUIDv4()
{
    $data = openssl_random_pseudo_bytes(16);

    $data[6] = chr(ord($data[6]) & 0x0f | 0x40); // set version to 0100
    $data[8] = chr(ord($data[8]) & 0x3f | 0x80); // set bits 6-7 to 10

    return vsprintf('%s%s-%s-%s-%s-%s%s%s', str_split(bin2hex($data), 4));
}

## hdi.py
def hdi(frozen_dist, alpha=0.05, **args):
    """ Highest density interval for a unimodel distribution """
    # freeze distribution with given arguments
    def interval_width(hdi_pt_l):
        return frozen_dist.ppf(alpha + hdi_pt_l) - frozen_dist.ppf(hdi_pt_l)

    # find hdi_pt_l that minimizes interval_width
    hdi_pt_l = fmin(interval_width, 1-alpha, ftol=1e-8, disp=False)[0]
    # return interval as array([low, high])
    return frozen_dist.ppf([hdi_pt_l, alpha + hdi_pt_l])

## index.html
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<style>
body{
  font-family: sans;
  padding: 10px;
}
svg path{

## mysql_date_trunc
DATE_TRUNC('week', now())  === STR_TO_DATE(CONCAT(YEARWEEK(now(), 2), ' Sunday'), '%X%V %W')
DATE_TRUNC('month', now()) === DATE_FORMAT(now(), '%Y-%m-01')

## tfn.py
def tfn(x, fx):
    """
    TFN calculates the T-function of Owen.

    Adapted from http://people.sc.fsu.edu/~jburkardt/c_src/asa076/asa076.html

    Author:

    Original FORTRAN77 version by JC Young, Christoph Minder.
    C version by John Burkardt.

## cdfplot.py
import numpy as np
from pylab import plot

def cdfplot(data=None, show_plot=True):
    n_bins = len(unique(data))
    counts, bin_edges = np.histogram(data, n_bins, normed=True)
    ecdf = np.cumsum(counts)
    ecdf = ecdf/ecdf.max()
    if show_plot:
        plot(bin_edges[1:],ecdf)
	function UUIDv4()
	{
	$data = openssl_random_pseudo_bytes(16);

	$data[6] = chr(ord($data[6]) & 0x0f \| 0x40); // set version to 0100
	$data[8] = chr(ord($data[8]) & 0x3f \| 0x80); // set bits 6-7 to 10

	return vsprintf('%s%s-%s-%s-%s-%s%s%s', str_split(bin2hex($data), 4));
	}
	def hdi(frozen_dist, alpha=0.05, **args):
	""" Highest density interval for a unimodel distribution """
	# freeze distribution with given arguments
	def interval_width(hdi_pt_l):
	return frozen_dist.ppf(alpha + hdi_pt_l) - frozen_dist.ppf(hdi_pt_l)

	# find hdi_pt_l that minimizes interval_width
	hdi_pt_l = fmin(interval_width, 1-alpha, ftol=1e-8, disp=False)[0]
	# return interval as array([low, high])
	return frozen_dist.ppf([hdi_pt_l, alpha + hdi_pt_l])
	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8">
	<style>
	body{
	font-family: sans;
	padding: 10px;
	}
	svg path{
	DATE_TRUNC('week', now()) === STR_TO_DATE(CONCAT(YEARWEEK(now(), 2), ' Sunday'), '%X%V %W')
	DATE_TRUNC('month', now()) === DATE_FORMAT(now(), '%Y-%m-01')
	def tfn(x, fx):
	"""
	TFN calculates the T-function of Owen.

	Adapted from http://people.sc.fsu.edu/~jburkardt/c_src/asa076/asa076.html

	Author:

	Original FORTRAN77 version by JC Young, Christoph Minder.
	C version by John Burkardt.
	import numpy as np
	from pylab import plot

	def cdfplot(data=None, show_plot=True):
	n_bins = len(unique(data))
	counts, bin_edges = np.histogram(data, n_bins, normed=True)
	ecdf = np.cumsum(counts)
	ecdf = ecdf/ecdf.max()
	if show_plot:
	plot(bin_edges[1:],ecdf)