- Have system administration experience on Linux. AWS experience is a big plus. We're Premium partners with Amazon. This is an exciting opportunity to use Amazon Web Services to the full extent and receive occasional trainings from Amazon Solution Architects.
- Believes in and practices automation.
- Have working knowledge of server configuration and provisioning tools like Puppet, Ansible etc.
- Have experience with high traffic environments.
- Have experience on optimizing database servers. We use PostgreSQL.
- Familiar with best practices of Agile software development and Scrum framework.
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var http = require('http'); | |
var Buffer = require('buffer').Buffer; | |
http.createServer(function (req, res) { | |
var buffer = new Buffer(0); | |
res.writeHead(200, | |
{'Content-Type': 'text/html', | |
'Content-Length': buffer.length}); | |
res.end(buffer, 'binary'); | |
} |
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diff --git a/lib/assert.js b/lib/assert.js | |
index 19cb376..854747b 100644 | |
--- a/lib/assert.js | |
+++ b/lib/assert.js | |
@@ -97,7 +97,7 @@ assert.fail = fail; | |
// assert.strictEqual(true, guard, message_opt);. | |
assert.ok = function ok(value, message) { | |
- if (!!!value) fail(value, true, message, "==", assert.ok); | |
+ if (!!!value) assert.fail(value, true, message, "==", assert.ok); |
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var meryl = require('meryl'), | |
connect = require('connect'), | |
merylex = require('meryl-extras'), | |
eco = require('eco'), | |
http = require('http'); | |
var generictemplate = merylex('generictemplate'); | |
http.createServer( | |
meryl |
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var meryl = require('meryl'), | |
async = require('async'), | |
httputil = require('nodeunit').utils.httputil; | |
exports.testSomething = function (test) { | |
httputil ( | |
meryl.h('GET /', function(req, resp) {resp.send('test data');}).cgi(), | |
function (server, client) { | |
async.series([ | |
function (ok) { |
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def create_counter(): | |
i = 0 | |
def increment(): | |
i = i + 1 | |
print(i) | |
return increment | |
count = create_counter() | |
count() |
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import time | |
import tensorflow as tf | |
import matplotlib.pyplot as plt | |
from tf_agents.environments import suite_gym | |
from tf_agents.networks.q_network import QNetwork | |
from tf_agents.agents.dqn import dqn_agent | |
from tf_agents.environments import TFPyEnvironment | |
from tf_agents.replay_buffers import TFUniformReplayBuffer |
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This is a sample text. |