tijszwinkels

#!/usr/bin/python3

# Rewrite of the tesla2mapillary.py script
#
# Differences:
# - Processes in cwd, leaves the original file alone
# - Deletes tmp-data after uploading, requires much less disk-space
# - Allows to specify video-files using wildcards

import os

tijszwinkels

#!/bin/bash
basename="$(basename "$0")"

if [[ "$basename" == "fsck.zfs" || "$basename" == "zdb" || "$basename" == "zed" || "$basename" == "zfs" || "$basename" == "zfs_ids_to_path" || "$basename" == "zgenhostid" || "$basename" == "zhack" || "$basename" == "zinject" || "$basename" == "zpool" || "$basename" == "zstream" || "$basename" == "zstreamdump" || "$basename" == "ztest" ]]; then
  echo -e "The Hetzner Rescue System does not come with preinstalled ZFS support,\nhowever, we will attempt to compile and install the latest release for you.\nPlease read the information below thoroughly before entering any response.\n"
fi

echo -e "\e[31m\e[1mATTENTION\e[0m

This script will attempt to install the current OpenZFS release

tijszwinkels

import os
import re

import k_diffusion as K
import numpy as np
import PIL
import skimage
import torch
from einops import rearrange
from slugify import slugify

tijszwinkels

import os
import re

import k_diffusion as K
import numpy as np
import PIL
import skimage
import torch
from einops import rearrange
from slugify import slugify

tijszwinkels

import os
import re

import k_diffusion as K
import numpy as np
import PIL
import skimage
import torch
from einops import rearrange
from slugify import slugify

tijszwinkels

import os
import re

import k_diffusion as K
import numpy as np
import PIL
import skimage
import torch
from einops import rearrange
from slugify import slugify

tijszwinkels

#!/usr/bin/python3

# Rewrite of the tesla2mapillary.py script
#
# Differences:
# - Processes in cwd, leaves the original file alone
# - Deletes tmp-data after uploading, requires much less disk-space
# - Allows to specify video-files using wildcards
#
# TODO:

tijszwinkels

#!/usr/bin/python

import os
import sys
import argparse
import gpxpy
import gpxpy.gpx
import subprocess
from pathlib import Path
from datetime import datetime, timedelta

tijszwinkels

# Test-case to illustrate https://github.com/biolab/orange3-associate/issues/19

import pandas as pd
import numpy as np
import collections as col
from datetime import datetime
from orangecontrib.associate.fpgrowth import *

db = [['00:00:00:00:00:529', '00:00:00:00:00:156'], ['00:00:00:00:00:529', '00:00:00:00:00:67', '00:00:00:00:00:156'], ['00:00:00:00:00:529', '00:00:00:00:00:67', '00:00:00:00:00:154', '00:00:00:00:00:156', '00:00:00:00:00:155'], ['00:00:00:00:00:155', '00:00:00:00:00:154', '00:00:00:00:00:836', '00:00:00:00:00:892', '00:00:00:00:00:116', '00:00:00:00:00:117', '00:00:00:00:00:156'], ['00:00:00:00:00:115', '00:00:00:00:00:529', '00:00:00:00:00:154', '00:00:00:00:00:737', '00:00:00:00:00:836', '00:00:00:00:00:739', '00:00:00:00:00:838', '00:00:00:00:00:66', '00:00:00:00:00:698', '00:00:00:00:00:599', '00:00:00:00:00:892', '00:00:00:00:00:116', '00:00:00:00:00:745', '00:00:00:00:00:114', '00:00:00:00:00:117', '00:00:00:00:00:105', '00:00:00:00:00:837', '00:00:00:00:00:156', '00:00:00:00:00:27

tijszwinkels

function updateQueue(queue) {

	// Statistics
	console.log("maxWait:" + queue.maxWait );
	console.log("--- iterating over calls in queue" + queue);
	var numCalls = _.size(queue.calls);
	var totalRunTime = 0;
	var maxRunTime = 0;
	for (callId in queue.calls) {
		var call = queue.calls[callId];