Note
These are the steps I used to build screenpipe for Windows. I already had the CUDA Toolkit installed and the CUDA_PATH set to my CUDA v12.6 folder.
Replace V:\projects and V:\packages with your own folders.
| // ==UserScript== | |
| // @name HackerNews GPT-Free Feed | |
| // @namespace http://tampermonkey.net/ | |
| // @version 0.1 | |
| // @description Hides any Hacker News story with "GPT" in its title. | |
| // @author Taylor Troesh | |
| // @include https://news.ycombinator.com/* | |
| // @grant none | |
| // ==/UserScript== |
| // user: Either<string, { name: string, age: number }> | |
| const user = doEither(function*() { | |
| // name: string | |
| const name = yield* Right("test") | |
| // age: number | |
| const age = Math.random() > 0.5 ? yield* Right(100) : yield* Left("oopsies") | |
| return { | |
| name, | |
| age | |
| } |
| using System; | |
| using System.Collections.Generic; | |
| using System.Linq; | |
| public class Value | |
| { | |
| public double Data { get; set; } | |
| public double Gradient { get; set; } | |
| private Action _backward; | |
| private readonly List<Value> _prev; |
edit at
| public static class Spatial | |
| { | |
| /// <summary> | |
| /// Return position above ground relatively from the prefab size | |
| /// Global position | |
| /// </summary> | |
| /// <param name="position"></param> | |
| /// <param name="prefabHeight">Prefab height needed in order to place well on top of ground</param> | |
| /// <param name="transform">Transform parent</param> | |
| /// <param name="layerMask">Layers to ignore</param> |
| #!/bin/bash | |
| python3 -m venv .my_super_env && # Yeah random name to avoid erasing local virtualenv | |
| source .my_super_env/bin/activate && | |
| pip install -q pyyaml && | |
| python3 -c "import yaml, json, sys | |
| sys.stdout.write(yaml.dump(json.load(sys.stdin)))" \ | |
| < $1 > $2 || true | |
| # Remove the temporary venv in any case | |
| rm -rf .my_super_env || true |
| 1) Generate a private key and certificate signing request: | |
| openssl genrsa -out ios_distribution.key 2048 | |
| openssl req -new -key ios_distribution.key -out ios_distribution.csr -subj '/[email protected], CN=Example, C=US' | |
| 2) Upload CSR to apple at: https://developer.apple.com/account/ios/certificate/create | |
| - choose Production -> App Store and Ad Hoc | |
| 3) Download the resulting ios_distribution.cer, and convert it to .pem format: |
| alias kc='kubectl' | |
| alias kclf='kubectl logs --tail=200 -f' | |
| alias kcgs='kubectl get service -o wide' | |
| alias kcgd='kubectl get deployment -o wide' | |
| alias kcgp='kubectl get pod -o wide' | |
| alias kcgn='kubectl get node -o wide' | |
| alias kcdp='kubectl describe pod' | |
| alias kcds='kubectl describe service' | |
| alias kcdd='kubectl describe deployment' | |
| alias kcdf='kubectl delete -f' |
| """ Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
| import numpy as np | |
| import cPickle as pickle | |
| import gym | |
| # hyperparameters | |
| H = 200 # number of hidden layer neurons | |
| batch_size = 10 # every how many episodes to do a param update? | |
| learning_rate = 1e-4 | |
| gamma = 0.99 # discount factor for reward |
