| package main | |
| import ( | |
| "net/http" | |
| "compress/gzip" | |
| "io/ioutil" | |
| "strings" | |
| "sync" | |
| "io" | |
| ) |
Network views tend to be the view of the network from a single node, or small selection of nodes. They are not complete views of the network. This is impossible to achieve. Even if many node views were combined, it would still be incomplete.
These network views, or network maps, have been termed 'visualisers' by the LN community.
Screenshots may reflect older visual styles, and are dated accordingly.
| import asyncio | |
| loop = asyncio.get_event_loop() | |
| async def hello(): | |
| await asyncio.sleep(3) | |
| print('Hello!') | |
| if __name__ == '__main__': | |
| loop.run_until_complete(hello()) | |
This is a bash script, as an example, on how to do click-testing GUI based on finding components based on how they look.
A lot of us are interested in doing more analysis with our service logs so I thought I'd share an experiment I'm doing with Sync. The main idea is to transform the raw logs into something that'll be nice to query and generate reports with in Redshift.
Logs make their way into an S3 bucket (lets call it the 'raw' bucket) where we've got a lambda listening for new data. This lambda reads the raw heka protobuf gzipped data, does some transformation and writes a new file to a different S3 bucket (the 'processed' bucket) in a format that is redshift friendly (like json or csv). There's another lambda listening on the processed bucket that loads this data into Redshift.
| # internal | |
| import re | |
| import subprocess | |
| # external | |
| import twython | |
| # prosaic, obviously | |
| twitter = twython.Twython( | |
| ENV['API_KEY'], |
Note on how to install caffe on Ubuntu. Sucessfully install using CPU, more information for GPU see this link
###Installation
lspci | grep -i nvidia
| from __future__ import division | |
| import os | |
| import numpy | |
| from PIL import Image, ImageDraw | |
| class Renderer(): | |
| def __init__( | |
| self, size=(640, 480), sampler=None, |