mgbckr

import junit.framework.Assert;

import org.junit.Test;

public class IntegerValueOf {

	@Test
	public void test() {
		

mgbckr

/**
 * <p>Shows how files in the class path can be accessed when using the standard
 * Maven directory layout.</p>
 * 
 * <p>The test file is "src/test/resources/accessFileOnClasspath/test.txt".
 * It is accessed using either {@link ClassLoader#getResource(String)} or
 * {@link ClassLoader#getResourceAsStream(String)}. Note that the file's
 * path is always relative to the class path's root. Thus the test file is
 * accessed using "accessFileOnClasspath/test.txt".</p>
 * 

mgbckr

#!/bin/bash
# A small script for labelling music files (mp3) with their BPMs via filename. 
#
# requires
# * bpm-tools
# * libsox-fmt-mp3
#
# usage:
#   
#   # get BPM of a file labels

mgbckr

#/usr/bin/python -p
import time
import subprocess
import threading

"""
This is a class for blinking the onboard ACT LED on the Raspberry PI 3 based on 
shell commands. There should be a way to do this via GPIO, but for me it did not
work so far. Here are some relevant links for blinking via GPIO:
* https://kofler.info/on-board-leds-des-raspberry-pi-steuern/

mgbckr

#!/bin/bash
#
# colorpages_printstring.bash
#
# Tool to print only color pages from a PDF (duplex). 
# Generates a string to be used for common printing dialogs which only contains pages (back and front) with color.
#
# usage: colorpages_printstring <your>.pdf
#
# requirements: ghostscript (gs)

mgbckr

def extract_hr_from_polar_csv(filename):
    
    # read header and data
    h = pd.read_csv(filename, nrows=2)
    d = pd.read_csv(filename, skiprows=2)
    
    # parse start time
    datetime_string = h["Date"].values[0] + " " + h["Start time"].values[0]
    starttime = datetime.strptime(datetime_string, '%d-%m-%Y %H:%M:%S')
    

mgbckr

./adb shell

run-as the.package.of.the.application
cd /data/data/dthe.package.of.the.application/databases
chmod 777 TheDatabase.db
cp TheDatabase.db /mnt/sdcard/

./adb pull /mnt/sdcard/TheDatabase.db

mgbckr

def plot_multiple_axes(data, columns, x= "timestamp", colors=["black", "r-", "g-", "c-", "m-", "y-"], window=60):
    """
    TODO: Needs some clean up
    :type data: pandas.DataFrame
    :type columns: list of str
    """
  
    fig, host = plt.subplots(figsize=(20, 4))
    axes = [host] + [host.twinx() for c in range(1, len(columns))]
    

mgbckr

import numpy as np
from sklearn import svm
import sklearn as sk

def exp(majority_vote=False, n=1000):
    
    # data
    y = np.array([1,2] * 14)
    x = np.random.rand(len(y), 100)

mgbckr

#!/bin/bash
# start with `watch -n 1 bash utop.sh` for continuous monitoring
top -b -n 1 | awk '
  NR <= 7 { print; next }
  { a[$2] += $9 }
  END {
    for (i in a) {
      printf "%-15s\t%s\n", i, a[i];
    }
  }