Due to dependency issues I got this error
npm ERR! Found: [email protected]
npm ERR! node_modules/vue
npm ERR! vue@"^2.7.10" from the root project
npm ERR!
npm ERR! Could not resolve dependency:
npm ERR! peer vue@"^3.2.0" from [email protected]
npm ERR! node_modules/vuex
Due to a file corruption or some reason I started getting below error
AppArmor enabled on system but the docker-default profile could not be loaded: strconv.Atoi: parsing "found": invalid syntax
I followed below steps to fix this problem. Please take backup of AppArmor profiles if you created any before running below commands
sudo rm -rf /etc/apparmor*
| [ | |
| { | |
| "_id": "5e7f55e2f065ef934a048d32", | |
| "index": 0, | |
| "guid": "88647c07-bf2a-42c3-8e23-cec1ed731f2f", | |
| "isActive": false, | |
| "balance": "$1,254.74", | |
| "picture": "http://placehold.it/32x32", | |
| "age": 40, | |
| "eyeColor": "green", |
| const async = require('async'); | |
| //Code for processing the task | |
| var processQueue = function (message, callback) { | |
| setTimeout(function() { | |
| console.log(`Task ${message} completed`); | |
| callback(); | |
| }, 500); | |
| } |
| const async = require('async'); | |
| var processQueue = function (message, callback) { | |
| setTimeout(function() { | |
| console.log(`Task ${message} completed`); | |
| callback(); | |
| }, 500); | |
| } | |
| var queue = async.queue(processQueue, 3); |
| const readline = require('readline'); | |
| const redisClient = require('redis').createClient(); | |
| const userInteractor = readline.createInterface({ | |
| input: process.stdin, | |
| output: process.stdout | |
| }); | |
| var initiateUserInteraction = async function() { | |
| while(true) { |
| def model_data_preparation(): | |
| training_data = [] | |
| accepted_scores = [] | |
| for game_index in range(intial_games): | |
| score = 0 | |
| game_memory = [] | |
| previous_observation = [] | |
| for step_index in range(goal_steps): | |
| action = random.randrange(0, 3) | |
| observation, reward, done, info = env.step(action) |
| scores = [] | |
| choices = [] | |
| for each_game in range(100): | |
| score = 0 | |
| prev_obs = [] | |
| for step_index in range(goal_steps): | |
| env.render() | |
| if len(prev_obs)==0: | |
| action = random.randrange(0,2) | |
| else: |
| def model_data_preparation(): | |
| training_data = [] | |
| accepted_scores = [] | |
| for game_index in range(intial_games): | |
| score = 0 | |
| game_memory = [] | |
| previous_observation = [] | |
| for step_index in range(goal_steps): | |
| action = random.randrange(0, 2) | |
| observation, reward, done, info = env.step(action) |