tankala

Due to dependency issues I got this error

npm ERR! Found: vue@2.7.14
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 vuex@4.1.0
npm ERR! node_modules/vuex

tankala

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*

tankala

Redis key expire listener

This code listens to redis key expire notifications

Installation

Set config in Redis config file as "notify-keyspace-events Ex"

pip3 install redis

tankala

[
    {
      "_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",

tankala

const async = require('async');

//Code for processing the task
var processQueue = function (message, callback) {
    setTimeout(function() {
        console.log(`Task ${message} completed`);
        callback();
    }, 500);
}

tankala

const async = require('async');

var processQueue = function (message, callback) {
    setTimeout(function() {
        console.log(`Task ${message} completed`);
        callback();
    }, 500);
}

var queue = async.queue(processQueue, 3);

tankala

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) {

tankala

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)

tankala

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:

tankala

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)