mysticaltech

import numpy as np
from scipy import stats
from itertools import combinations
from statsmodels.stats.multitest import multipletests
from statsmodels.stats.libqsturng import psturng
import warnings


def kw_dunn(groups, to_compare=None, alpha=0.05, method='bonf'):
    """

mysticaltech

library(MBESS)
library(pwr)

nSims <- 100000 #number of simulated experiments
p <-numeric(nSims) #set up empty container for all simulated p-values
obs_pwr <-numeric(nSims) #set up empty container
t <-numeric(nSims) #set up empty container
d_all<-numeric(nSims) 
N<-33 #number of participants

mysticaltech

<?php
// edit these lines:

// example: /var/www/repositories/project.git
$repo_dir = '~/repository.git';

// example: /var/www/project
$web_root_dir = '~/project';

// example: /var/www/project/scripts/post_deploy.sh

mysticaltech

from bs4 import BeautifulSoup, NavigableString, Tag

def html_to_text(html):
    "Creates a formatted text email message as a string from a rendered html template (page)"
    soup = BeautifulSoup(html, 'html.parser')
    # Ignore anything in head
    body, text = soup.body, []
    for element in body.descendants:
        # We use type and not isinstance since comments, cdata, etc are subclasses that we don't want
        if type(element) == NavigableString:

mysticaltech

#!/usr/bin/env python
# Inspired by: https://www.youtube.com/watch?v=izG7qT0EpBw
# The CRC values are verified using: https://crccalc.com/

def reflect_data(x, width):
    # See: https://stackoverflow.com/a/20918545
    if width == 8:
        x = ((x & 0x55) << 1) | ((x & 0xAA) >> 1)
        x = ((x & 0x33) << 2) | ((x & 0xCC) >> 2)
        x = ((x & 0x0F) << 4) | ((x & 0xF0) >> 4)

mysticaltech

from matplotlib import use

from pylab import *
from scipy.stats import beta, norm, uniform
from random import random
from numpy import *
import numpy as np
import os

# Input data

mysticaltech

#!/usr/bin/env bash
#
# mirror_mirror
#
# One-way Rsync mirror of data from source to destination.
#
# Author: M. Krinitz <mjk235 [at] nyu [dot] edu>
# Date: 2020.04.20
# License: MIT
#

mysticaltech

**As a developer you have complete control over the signup and signin functionality...**

```shell
$ surreal sql --conn http://localhost:8000 --user root --pass root --ns test --db test
```

```sql
-- optional : this is the default see --ns test --db test start server flags
-- USE NS test DB test;

mysticaltech

if ( typeof(jQuery) === 'function' ) {
    jQuery(document).ready(function($) {
        jQuery.fn.extend({
            getPath: function() {
                var path, node = this;
                while (node.length) {
                    var realNode = node[0],
                        name = realNode.localName;
                    if (!name) break;
                    name = name.toLowerCase();

mysticaltech

Longhorn best practices

The following settings are provided as an example how longhorn should be configured in a production cluster, especially if it is deployed on Hetzner Cloud infrastructure.

Hetzner server nodes provide local storage and allow up to five attached volumes (with a size of up to 10TiB each) Local storage is provided by NVMe storage and therefore is much faster than the attached volumes, but limited in size (max 300GiB usable).

Initial configuration

Also you want to control the nodes that are used for storage. So it is suggested to set the option Create default disk only on labeled node to true