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sebastianrothbucher / node-red-flows.json
Last active May 10, 2024 13:27
IoTcore simple policy and node-red flow
[
{
"id": "426169ba36026cef",
"type": "tab",
"label": "Flow 1",
"disabled": false,
"info": "",
"env": []
},
{
@sebastianrothbucher
sebastianrothbucher / index.html
Created March 31, 2024 18:59
pdf.js cont scroll
<div style="position: sticky; top: 0; background: white; ">Page <span id="page"></span> Timing: <span id="timing"></span></div>
<div id="canvases"></div>
I have the prod01 skates already - now can you get me more rolls for that?
@sebastianrothbucher
sebastianrothbucher / 01-schema.graphqls
Created November 12, 2023 11:09
Appsync dynamodb JS
type ItemsResponse {
listid: ID!
items: [ListItem]
}
type ListItem {
listid: ID!
ts_uuid: ID!
title: String!
done: Boolean!
@sebastianrothbucher
sebastianrothbucher / Application.java
Last active November 11, 2023 18:41
JAMstack with Keycloak and Boot
// ...
@Autowired
private JwtAuthFilter jwtAuthFilter;
@Bean
public SecurityFilterChain filterChain(HttpSecurity http) throws Exception {
http
.addFilterBefore(jwtAuthFilter, UsernamePasswordAuthenticationFilter.class)
// ...
return http.build();
@sebastianrothbucher
sebastianrothbucher / fetch-override.js
Last active November 11, 2023 16:40
Track fetch API for more stable tests
const __legacyFetch = window.fetch;
let __openFetchPromises = 0;
let __waitForFetchPromise = Promise.resolve();
let __waitForFetchResolve = null;
// need a function to instrument promise-ified methods from fetch down
function __instrumentPromise(legacyThis, legacyFct, legacyFctName) {
return function() {
if (__openFetchPromises === 0) {
__waitForFetchPromise = new Promise(resolve => __waitForFetchResolve = resolve);
@sebastianrothbucher
sebastianrothbucher / fix.sh
Created November 8, 2023 07:47
Fix delta-rs
find . -name '00000*.json' | xargs gsed -i 's/"partitionBy":\[\]/"partitionBy":"\[\]"/g'
@sebastianrothbucher
sebastianrothbucher / lime.R
Last active December 6, 2020 11:30
Explaining nnet with LIME (and SHAP)
library(lime)
library(datasets)
library(nnet)
library(caret)
#View(iris)
train_index <- sample(1:nrow(iris), 0.8 * nrow(iris))
test_index <- setdiff(1:nrow(iris), train_index)
iris_net <- nnet(Species~., data = iris[train_index,], size = 20)
test_pred <- predict(iris_net, iris[test_index, c(1:4)], type = 'class')
test_conf <- confusionMatrix(factor(test_pred), iris$Species[test_index], mode = 'prec_recall')
@sebastianrothbucher
sebastianrothbucher / index.html
Created January 12, 2020 16:59
interactive effect
<button onclick="clck()">click me!</button>