djstein

!/usr/bin/env bash

# Install Brew and Python3
ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
brew doctor
brew install python3

# Install Python3 Manually
curl https://www.python.org/ftp/python/3.7.0/python-3.7.0-macosx10.9.pkg > python-3.7.0-macosx10.9.pkg
sudo installer -store -pkg python-3.7.0-macosx10.9.pkg -target /

djstein

'use strict';

const path = require('path');
const webpack = require('webpack');
const PnpWebpackPlugin = require('pnp-webpack-plugin');
const HtmlWebpackPlugin = require('html-webpack-plugin');
const CaseSensitivePathsPlugin = require('case-sensitive-paths-webpack-plugin');
const InterpolateHtmlPlugin = require('react-dev-utils/InterpolateHtmlPlugin');
const WatchMissingNodeModulesPlugin = require('react-dev-utils/WatchMissingNodeModulesPlugin');
const ModuleScopePlugin = require('react-dev-utils/ModuleScopePlugin');

djstein

# Tesla CPO Photos Downloader
# Tired of seeing blurry images of your Tesla CPO order?
# Insert the url your sales rep sent you with the blurry images,
# and have the high resolution versions downloaded to your computer!
#
# Simply run:
# python3 tesla-cpo-photos.py https://backwebs.homenetinc.com/tesla/details/@/your-unique-reference-number/
#
# No dependencies required
# Dylan Stein ([email protected])

djstein

import { print } from 'graphql/language/printer'
import { useContext, useEffect, useState } from 'react'

export function createWebsocket({ name, uri, token, query, onMessage }) {
  if (!uri) {
    let subscriptionProtocol = process.env.REACT_APP_API_URL.includes(
      'https',
    )
      ? 'wss'
      : 'ws'

djstein

import { ConnectButton } from '@rainbow-me/rainbowkit'

const RainbowKitButton = () => {
  return (
    <ConnectButton.Custom>
      {({
        account,
        chain,
        openAccountModal,
        openChainModal,

djstein

# since AWX is trash software and they dont fix their own bugs please use this as the Source Control Refspec
# when adding a GitHub Repo to an AWX Project

+refs/heads/*:refs/remotes/origin/*

djstein

torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 16.00 MiB (GPU 0; 6.00 GiB total capacity; 5.25 GiB already allocated; 0 bytes free; 5.31 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF

djstein

# fish version
set -gx POD_NAME (kubectl get pods -n <namespace> --output json | jq -r -c '.items[].metadata | select(.name | contains("some name"))'.name | grep -v "excluded value" | grep -m 1 "some name")
kubectl exec -it {$POD_NAME} -n <namespace> -- /bin/bash

# for celery but not celery beat
set -gx POD_NAME (kubectl get pods -n backend-dev --output json | jq -r -c '.items[].metadata | select(.name | contains("celery"))'.name | grep -v "beat" | grep -m 1 "celery")

# bash version
POD_NAME=$(kubectl get pods -n backend-dev --output json | jq -r -c '.items[].metadata | select(.name | contains("celery"))'.name | grep -v "beat" | grep -m 1 "celery")
kubectl exec -it -n backend-dev ${POD_NAME} -- /bin/bash