Using Python's built-in defaultdict we can easily define a tree data structure:
def tree(): return defaultdict(tree)
That's it!
Using Python's built-in defaultdict we can easily define a tree data structure:
def tree(): return defaultdict(tree)
That's it!
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 |
Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.
$ python -m SimpleHTTPServer 8000
# Bulk convert shapefiles to geojson using ogr2ogr | |
# For more information, see http://ben.balter.com/2013/06/26/how-to-convert-shapefiles-to-geojson-for-use-on-github/ | |
# Note: Assumes you're in a folder with one or more zip files containing shape files | |
# and Outputs as geojson with the crs:84 SRS (for use on GitHub or elsewhere) | |
#geojson conversion | |
function shp2geojson() { | |
ogr2ogr -f GeoJSON -t_srs crs:84 "$1.geojson" "$1.shp" | |
} |
require 'mkmf' | |
create_makefile('shellcode') |
const I = x => x | |
const K = x => y => x | |
const A = f => x => f (x) | |
const T = x => f => f (x) | |
const W = f => x => f (x) (x) | |
const C = f => y => x => f (x) (y) | |
const B = f => g => x => f (g (x)) | |
const S = f => g => x => f (x) (g (x)) | |
const S_ = f => g => x => f (g (x)) (x) | |
const S2 = f => g => h => x => f (g (x)) (h (x)) |