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import asyncio | |
loop = asyncio.get_event_loop() | |
async def hello(): | |
await asyncio.sleep(3) | |
print('Hello!') | |
if __name__ == '__main__': | |
loop.run_until_complete(hello()) | |
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* |
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from datetime import datetime | |
from sqlalchemy import Column, Integer, DateTime, ForeignKey | |
from sqlalchemy.orm import relationship | |
from sqlalchemy.ext.declarative import declared_attr | |
from flask_security import current_user | |
class AuditMixin(object): | |
created_at = Column(DateTime, default=datetime.now) | |
updated_at = Column(DateTime, default=datetime.now, onupdate=datetime.now) |
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# This work is licensed under the GNU Public License (GPL). | |
# To view a copy of this license, visit http://www.gnu.org/copyleft/gpl.html | |
# For more information visit this blog post http://mpcabd.igeex.biz/python-celery-asynchronous-task-decorator/ | |
# Written by Abd Allah Diab (mpcabd) | |
# Email: mpcabd ^at^ gmail ^dot^ com | |
# Website: http://mpcabd.igeex.biz | |
from django.utils.decorators import available_attrs |
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Latency Comparison Numbers (~2012) | |
---------------------------------- | |
L1 cache reference 0.5 ns | |
Branch mispredict 5 ns | |
L2 cache reference 7 ns 14x L1 cache | |
Mutex lock/unlock 25 ns | |
Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
Compress 1K bytes with Zippy 3,000 ns 3 us | |
Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"> | |
<html xmlns="http://www.w3.org/1999/xhtml"> | |
<head> | |
<meta http-equiv="content-type" content="text/html; charset=utf-8"/> | |
<script type="text/javascript" src="jquery-1.7.1.min.js"></script> | |
<script type="text/javascript"> | |
$(document).ready(function () { | |
$.getJSON('estados_cidades.json', function (data) { |