Tailscale provides a simple to setup and use private network. I've just starting using this on my home network for home assistant and valetudo. Here are the instructions for setting up Tailsclae on the roborock vacuum.
For official tailscale installation see here: https://tailscale.com/download/linux/static
This gist is an example of how to use home assistant to reload the map of the vacuum
How to setup the vacuum side of things
recovery_map.shto /mnt/data/valetudo/recovery_map.sh on the vacuummkdir -p /mnt/data/rockrobo/backup/cp /mnt/data/rockrobo/last_map /mnt/data/rockrobo/backup/ and the charger pos cp /mnt/data/rockrobo/ChargerPos.data /mnt/data/rockrobo/backup/
| ### A piper diagram based on the ternary plot example here: http://srmulcahy.github.io/2012/12/04/ternary-plots-r.html | |
| ### This was written quickly, and most likely contains bugs - I advise you to check it first. | |
| ### Jason Lessels jlessels@gmail.com | |
| ### This now consists of two functions. transform_piper_data transforms the data to match | |
| ### the coordinates of the piper diagram. ggplot_piper does all of the background. | |
| transform_piper_data <- function(Mg, Ca, Cl,SO4, name=NULL){ | |
| if(is.null(name)){ |
| library(ggplot2) | |
| library(gtable) | |
| library(grid) | |
| library(ggthemes) | |
| # extract gtable | |
| ggplot_second_axis <- function(p1, p2){ | |
| p2 <- p2 + theme() %+replace% |
nodeexporter.conf upstart script to /etc/init/nodeexporter.conf/usr/local/bin/node_exporterservice nodeexporter start.
| """ | |
| Programming task | |
| ================ | |
| The following is an implementation of a simple Named Entity Recognition (NER). | |
| NER is concerned with identifying place names, people names or other special | |
| identifiers in text. | |
| Here we make a very simple definition of a named entity: A sequence of | |
| at least two consecutive capitalized words. E.g. "Los Angeles" is a named |
| """ | |
| Programming task | |
| ================ | |
| Implement the method iter_sample below to make the Unit test pass. iter_sample | |
| is supposed to peek at the first n elements of an iterator, and determine the | |
| minimum and maximum values (using their comparison operators) found in that | |
| sample. To make it more interesting, the method is supposed to return an | |
| iterator which will return the same exact elements that the original one would | |
| have yielded, i.e. the first n elements can't be missing. |
| # load the libraries | |
| library(ggplot2) | |
| library(gtable) | |
| library(gridExtra) | |
| # Create the plots | |
| p1 <- ggplot() + geom_point(aes(1,1)) | |
| p2 <- ggplot() + geom_point(aes(2,2)) | |
| p3 <- ggplot() + geom_point(aes(3,3)) | |
| p4 <- ggplot() + geom_point(aes(4,4)) | |
| # Firstly create two columns (the first and second column) |
| piper <- | |
| function (data, group = NULL, colours = NULL, pch = NULL, numbersymbols = FALSE, | |
| X = 300, ...) | |
| { | |
| p <- (X/11) | |
| q <- (X/22) | |
| over100 <- data[data$Ca + data$Mg > 100 | data$Cl + data$SO4 > | |
| 100, ] | |
| if (length(over100[, 1]) != 0) { | |
| print("ERROR") |
| ##################################################################################################### | |
| ### Aim: To test the significance of randomly allocating flow to 'midnight' water quality samples. | |
| ### Date Created: Thursday 2nd September 2010 | |
| ### Author: Jason Lessels | |
| ### Packages required: TSAgg_0.2-1,geoR | |
| ### Notes: The script can easily be modified for the other water quality parameters, and the amount of simulations. Things to check: | |
| ###Both WQ and discharge must have the same initial time stamp (hours) before aggregation. | |
| ###WQ variable modify lines 52,60,146,186 | |
| ###line 99 changes the amount of simulations to run. | |
| ###line 156 determines when the bushfire occurred. |