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var mainFunction = function(callback) { | |
//Did something | |
console.log("In Main Function"); | |
callback(); | |
} | |
var callbackFunction = function() { | |
console.log('Variable: ' + this.variable); | |
console.log("In Callback Function"); | |
} |
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var mysql = require('mysql'); | |
var con = mysql.createConnection({ | |
host: "localhost", | |
user: "root", | |
password: "root", | |
database: "Employee" | |
}); | |
con.connect(function (err) { |
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const cassandra = require('cassandra-driver'); | |
const client = new cassandra.Client({contactPoints: ['127.0.0.1'], keyspace: 'movie_lens'}); | |
const bignum = require('bignum'); | |
//Finding minimum and maximum token range in a Cassandra table | |
client.execute('select MIN(token(movie_id)), MAX(token(movie_id)) from movies;', | |
function(err, result) { | |
let minToken = result.rows[0]['system.min(system.token(movie_id))']; | |
let maxToken = result.rows[0]['system.max(system.token(movie_id))']; | |
console.log("Minimum token: " + minToken); |
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import gym | |
env = gym.make('CartPole-v1') | |
env.reset() | |
for step_index in range(1000): | |
env.render() | |
action = env.action_space.sample() | |
observation, reward, done, info = env.step(action) | |
print("Step {}:".format(step_index)) | |
print("action: {}".format(action)) | |
print("observation: {}".format(observation)) |
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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) |
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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: |
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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) |
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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) { |
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const async = require('async'); | |
var processQueue = function (message, callback) { | |
setTimeout(function() { | |
console.log(`Task ${message} completed`); | |
callback(); | |
}, 500); | |
} | |
var queue = async.queue(processQueue, 3); |
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const async = require('async'); | |
//Code for processing the task | |
var processQueue = function (message, callback) { | |
setTimeout(function() { | |
console.log(`Task ${message} completed`); | |
callback(); | |
}, 500); | |
} |