Dear all Github friends,
I moved this gist to the Github repository.
Following this repository https://github.com/nijicha/install_nodejs_and_yarn_homebrew
nix-env failed: | |
error: | |
… while evaluating call site | |
at «none»:0: (source not available) | |
… while calling anonymous lambda | |
at /ofborg/checkout/1/repo/38dca4e3aa6bca43ea96d2fcc04e8229/mr-est/ofborg-evaluator-3/.gc-of-borg-outpaths.nix:48:12: |
Dear all Github friends,
I moved this gist to the Github repository.
Following this repository https://github.com/nijicha/install_nodejs_and_yarn_homebrew
// Original shader by @bgolus, modified slightly by @alexanderameye for URP, modified slightly more | |
// by @gravitonpunch for ECS/DOTS/HybridRenderer. | |
// https://twitter.com/bgolus | |
// https://medium.com/@bgolus/the-quest-for-very-wide-outlines-ba82ed442cd9 | |
// https://alexanderameye.github.io/ | |
// https://twitter.com/alexanderameye/status/1332286868222775298 | |
Shader "Hidden/Outline" | |
{ | |
Properties |
This specification is inspired by and supersedes the [AngularJS commit message format][commit-message-format].
We have very precise rules over how our Git commit messages must be formatted. This format leads to easier to read commit history.
Each commit message consists of a header, a body, and a footer.
** Command to list all infected files:
grep -lr --include=*.php "eval(base64_decode" /path/to/webroot
grep -lr --include=*.php "eval" .
grep -lr --include=*.php "base64" .
grep -lr --include=*.php "eval(base64_decode" /path/to/webroot | xargs sed -i.bak 's/<?php eval(base64_decode[^;]*;/<?php\n/g'
import SwiftUI | |
#if os(macOS) | |
public typealias Font = NSFont | |
public typealias FontDescriptor = NSFontDescriptor | |
#else | |
public typealias Font = UIFont | |
public typealias FontDescriptor = UIFontDescriptor | |
#endif |
# Add the path to torchvision - change as needed | |
import sys | |
sys.path.insert(0, '/home/mircea/python-envs/env/lib/python3.6/site-packages/vision') | |
# Choose an image to pass through the model | |
test_image = 'images/dog.jpg' | |
# Imports | |
import torch, json | |
import numpy as np |