insert.sql
\set id random(1, 100000 * :scale)
\set uuid gen_random_uuid()
insert into my_table (id, uuid)
values
cargo-features = ["rename-dependency"] | |
[package] | |
name = "actix-async" | |
version = "0.1.0" | |
[dependencies] | |
actix-web = "0.7.4" | |
futures-preview = { version = "0.3.0-alpha.3", features = ["tokio-compat"] } | |
futures1 = { version = "0.1", package = "futures" } |
# | |
# Himawari-8 Downloader | |
# | |
# | |
# | |
# This script will scrape the latest image from the Himawari-8 satellite, recombining the tiled image, | |
# converting it to a JPG which is saved in My Pictures\Himawari\ and then set as the desktop background. | |
# | |
# http://himawari8.nict.go.jp/himawari8-image.htm | |
# |
Edit 11 years later: I did not write this. Not sure the original source, but thanks to the original author.
While working on a utility project today, I stumbled upon wanting to embed an executable inside another executable. Sounds fun doesn’t it? And what is even more fun is to be able to launch the embedded exe
!
Basically, here’s how it works. You embed Foo.exe
inside Bar.exe
. And by embed I mean, add Foo.exe
as a resource in Bar.exe
and then, from Bar.exe
’s code, you can launch Foo.exe
using CreateProcess()
.
So before answering the "Why?" lets answer the "How?"
""" | |
This script was written to illustrate libraries that could be used to improve upon | |
the efficiency of a script posted to /r/learnprogramming: | |
Original script: | |
https://github.com/aesptux/download-reddit-saved-images/blob/master/script.py | |
Reddit post | |
http://www.reddit.com/r/learnprogramming/comments/14dojd | |
/pythoncode_review_script_to_download_saved_images/ | |
""" | |
from urllib2 import Request, urlopen |
Large Object Motions: | |
( | |
) | |
{ | |
} | |
[[ | |
[] | |
][ | |
]] | |
[m |
L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns
Compress 1K bytes with Zippy ............. 3,000 ns = 3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns = 20 µs
SSD random read ........................ 150,000 ns = 150 µs
Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs