benhoyt

"""An atomic, thread-safe incrementing counter."""

import threading


class AtomicCounter:
    """An atomic, thread-safe incrementing counter.

    >>> counter = AtomicCounter()
    >>> counter.increment()

benhoyt

| Go version | binary size (MB) | countwords (s) | sumloop (s) |
| ---------- | ---------------- | -------------- | ----------- |
| 1.0        |             3.27 |           8.20 |        9.47 |
| 1.1        |             3.95 |           7.57 |        9.54 |
| 1.2        |             5.50 |          25.51 |        9.36 |
| 1.3        |             4.27 |           2.85 |        1.99 |
| 1.4        |             4.32 |           3.03 |        2.13 |
| 1.5        |             4.73 |           2.16 |        1.16 |
| 1.6        |             4.70 |           2.15 |        1.18 |
| 1.7        |             3.94 |           1.86 |        0.63 |

benhoyt

import csv
import os
import subprocess
import time


print('| Go version | binary size (MB) | countwords (s) | sumloop (s) |')
print('| ---------- | ---------------- | -------------- | ----------- |')

benhoyt

"""Speed up os.walk() significantly by using file attributes that
FindFirst/Next give us instead of doing an extra stat(). Can also do the same
thing with opendir/readdir on Linux.

This is doubly useful when the user (caller of os.walk) is doing *another*
stat() to get say the file sizes.

On my tests (Windows 64-bit) our walk() is about 5x as fast as os.walk() for
large directory trees, and 9x as fast if you're doing the file size thing.
Note that these timings are "once it's in the cache", not first-time timings.

benhoyt

import collections, random, sys, textwrap

# Build possibles table indexed by pair of prefix words (w1, w2)
w1 = w2 = ''
possibles = collections.defaultdict(list)
for line in sys.stdin:
    for word in line.split():
        possibles[w1, w2].append(word)
        w1, w2 = w2, word

benhoyt

"""Efficient sliding-window sorting of time-series data in CSV file.

Demo for http://stackoverflow.com/a/42398981/68707

Tested on Python 3.5.
"""

import collections
import csv
import datetime

benhoyt

package model

import (
	"database/sql"
	"errors"
	"fmt"
	"reflect"
	"sync"
)

benhoyt

// A little "Connect Four" game

package main

import (
	"bufio"
	"flag"
	"fmt"
	"os"
	"strconv"

benhoyt

package main

import (
	"fmt"
	"net/http"
	"strconv"
)

func main() {
	http.HandleFunc("/multiply", func(w http.ResponseWriter, r *http.Request) {

benhoyt

BEGIN {
	FS = ","
}

{
	nf = csvify(fields)

	for (i=1; i<=nf; i++) {
		printf "|%s|\n", fields[i]
	}