duplicates = multiple editions
A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen
A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen
/* The world's smallest Brainfuck interpreter in C, by Kang Seonghoon | |
* http://j.mearie.org/post/1181041789/brainfuck-interpreter-in-2-lines-of-c */ | |
s[99],*r=s,*d,c;main(a,b){char*v=1[d=b];for(;c=*v++%93;)for(b=c&2,b=c%7?a&&(c&17 | |
?c&1?(*r+=b-1):(r+=b-1):syscall(4-!b,b,r,1),0):v;b&&c|a**r;v=d)main(!c,&a);d=v;} |
/** | |
* Fancy ID generator that creates 20-character string identifiers with the following properties: | |
* | |
* 1. They're based on timestamp so that they sort *after* any existing ids. | |
* 2. They contain 72-bits of random data after the timestamp so that IDs won't collide with other clients' IDs. | |
* 3. They sort *lexicographically* (so the timestamp is converted to characters that will sort properly). | |
* 4. They're monotonically increasing. Even if you generate more than one in the same timestamp, the | |
* latter ones will sort after the former ones. We do this by using the previous random bits | |
* but "incrementing" them by 1 (only in the case of a timestamp collision). | |
*/ |
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 |
<?php | |
/** | |
* This is free and unencumbered software released into the public domain. | |
* | |
* Anyone is free to copy, modify, publish, use, compile, sell, or | |
* distribute this software, either in source code form or as a compiled | |
* binary, for any purpose, commercial or non-commercial, and by any | |
* means. | |
* |
Mute these words in your settings here: https://twitter.com/settings/muted_keywords | |
ActivityTweet | |
generic_activity_highlights | |
generic_activity_momentsbreaking | |
RankedOrganicTweet | |
suggest_activity | |
suggest_activity_feed | |
suggest_activity_highlights | |
suggest_activity_tweet |
This simple script will take a picture of a whiteboard and use parts of the ImageMagick library with sane defaults to clean it up tremendously.
The script is here:
#!/bin/bash
convert "$1" -morphology Convolve DoG:15,100,0 -negate -normalize -blur 0x1 -channel RBG -level 60%,91%,0.1 "$2"
rsync (Everyone seems to like -z, but it is much slower for me)
def namedlist(typename, field_names): | |
"""Returns a new subclass of list with named fields. | |
>>> Point = namedlist('Point', ('x', 'y')) | |
>>> Point.__doc__ # docstring for the new class | |
'Point(x, y)' | |
>>> p = Point(11, y=22) # instantiate with positional args or keywords | |
>>> p[0] + p[1] # indexable like a plain list | |
33 | |
>>> x, y = p # unpack like a regular list |
Using Python's built-in defaultdict we can easily define a tree data structure:
def tree(): return defaultdict(tree)
That's it!