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import React from 'react'; | |
import { Field } from 'redux-form'; | |
const FileInput = (props) => ( | |
<span> | |
<Field name={props.name} component="input" type="file" label={props.label} /> | |
</span> | |
); | |
export default FileInput; |
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#!/bin/sh | |
# Based on instructions found here: http://wiki.razuna.com/display/ecp/FFMpeg+Installation+on+CentOS+and+RedHat#FFMpegInstallationonCentOSandRedHat-InstallX264 | |
if [ "`/usr/bin/whoami`" != "root" ]; then | |
echo "You need to execute this script as root." | |
exit 1 | |
fi | |
cat > /etc/yum.repos.d/centos.repo<<EOF |
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rails_root = File.expand_path('../../', __FILE__) | |
listen "#{rails_root}/tmp/sockets/unicorn.sock" | |
pid "#{rails_root}/tmp/pids/unicorn.pid" | |
stdout_path "#{rails_root}/log/#{:stage}.log" | |
stderr_path "#{rails_root}/log/#{:stage}.log" | |
timeout 60 | |
worker_processes Integer(ENV["WEB_CONCURRENCY"] || 2) |
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client = Twitter::REST::Client.new do |config| | |
config.consumer_key = "..." | |
config.consumer_secret = "..." | |
end | |
res = Twitter::REST::Request.new(client, :get, '/1.1/application/rate_limit_status.json').perform | |
#ex. | |
p res[:resources][:search][:'/search/tweets'][:remaining] |
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# -*- coding: utf-8 -*- | |
from sklearn.grid_search import GridSearchCV | |
from sklearn.linear_model import LogisticRegression | |
import requests | |
import numpy as np | |
import random | |
sample_num = 1400 | |
dimension = 100 |
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<?php | |
$locale_tags = [ | |
'en_US'=>[ | |
'title'=>'hello', | |
'description'=>'hello world' | |
], | |
'fr_FR'=>[ | |
'title'=>'Bonjour', | |
'description'=>'Bonjour tout le monde' | |
], |
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<?php | |
class TemplateUtil{ | |
public static function evalTemplate($template_file, $vars) | |
{ | |
ob_start(); | |
foreach($vars as $key=>$val){ | |
${$key} = $val; | |
} |
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