Posted by Tom Moertel
Thu, 31 Aug 2006 17:21:00 GMT
Today I had a problem with my Netflix
subscription that was clearly outside the realm of the online Help
Center. When I tried to find the phone number for Netflix customer
support, however, I could not.
It turns out that Netflix is engaging in the weasel-like behavior of
hiding its phone number from paying customers. The phone number is
omitted from the Contact Us page. Searching for “phone” in the Help
Center turns up the “How do I contact Customer Service?” question, the
answer to which turns out to be, “Most problems can be solved by our
extensive online help system… If you’re still having trouble, email
Customer Service.” In other words, Don’t Call Us.
Forget that. Google and Hacking Netflix
make it easy to find Netflix’s support numbers. To make it easier
for you to find them, here they are:
Netflix customer support
1-800-715-2120
1-888-638-3549
Note to Reed Hastings: Hiding your company’s phone numbers shows a lack of
respect for your paying customers. (So does limiting DVD-rental rates stochastically via a cleverly designed fulfillment-prioritization policy while
using weasel words to pretend that your services are “unlimited.”)
Posted in marketing
Tags netflix, weaselly
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Posted by Tom Moertel
Thu, 24 Aug 2006 19:41:00 GMT
In an earlier post I wrote about stability
problems that have plagued my blog since upgrading from Typo 4.0.0 to 4.0.3. I have finally traced the problem to its source, and here’s the deal:
If you’re serving Typo up via Mongrel, do not configure ActiveRecord to allow concurrency.
One of the changes between Typo 4.0.0 and 4.0.3 is this
addition to the environment.rb file:
config.active_record.allow_concurrency = true
Comment out this line, restart Typo, and the problem is solved.
Apply Changeset 1255, and the problem is solved. (See
Update 2, below.)
Discussion
When ActiveRecord::Base.allow_concurrency is set to
true, AR will give each thread its own database
connections and cache them in thread-localized storage. The idea is
that, in a multi-threaded environment, this simple policy prevents
unsafe interactions between threads and the database. (Imagine what
would happen if one thread “borrowed” a connection over which
another thread had opened a transaction. Oops, there goes
transactional isolation.)
This policy, however, does place a burden on the owner of the threads to
make sure that each thread’s local connection cache is cleared when
the thread is joined, a burden that is not, it would seem, being
carried by Typo under Mongrel. As a result, Typo rapidly chews
through the allotment of file descriptors that the operating system
kindly had reserved for Mongrel:

(On my Linux server, the Mongrel process gets an allotment of 1024
file descriptors.)
Lucky for us, this each-thread-gets-its-own-connections policy is unnecessary under
Mongrel because Mongrel, while being multi-threaded itself, serializes
all access to the Rails-based applications it serves up:
Q: Is [Mongrel] multi-threaded or can it handle concurrent requests?
Mongrel is uses a pool of thread workers to do it’s processing. This means that it is able to handle concurrent access and should be thread safe. This also means that you have to be more careful about how you use Mongrel. You can’t just write your application assuming that there are no threads involved. ...
Ruby on Rails is not thread safe so there is a synchronized block around the calls to Dispatcher.dispatch. This means that everything is threaded right before and right after Rails runs. While Rails is running there is only one controller in operation at a time.
(Source: Mongrel FAQ list)
Thus we can safely turn off (i.e., comment out in Typo’s
environment.rb file) ActiveRecord’s allow-currency option
without having to worry about nasty concurrency or performance issues:
# the following line is commented out
# config.active_record.allow_concurrency = true
For more on this subject, see Rails ticket
#2162 and Rails ticket
#2742.
Now, here’s my question: Are there any environments in which
Typo can run with the allow-concurrency option enabled and not
leak database connections? Inquiring minds want to know.
Update: Upon further investigation, turning off
concurrency might not be altogether without risk. Some of the Typo
code that handles potentially long tasks, such as making trackbacks
and pings, spawns new threads in which to carry out its work. I’m
looking further into this risk. Updates to come.
Update 2: Piers Cawley added Changeset
1255, which turns AR’s
allow-concurrency flag back off and revises the ping code so that
it does not attempt concurrent database access. Apply the patch version of
1255
and restart Typo to get the fix. A tip of the hat to Piers for making
the quick fix when he was supposed to be on holiday.
Posted in ruby, typo, rails
Tags activerecord, concurrency, rails, sqlite3, typo
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Posted by Tom Moertel
Thu, 24 Aug 2006 04:41:00 GMT
Since I upgraded my blog from Typo 4.0.0 to
4.0.3, it has been somewhat unstable. About once a day it starts
responding with “500 Internal Server Error” and stays that way until I
restart it.
The root of the problem seems to be the database
connection, as evidenced by this exception showing up in the
production log:
SQLite3::CantOpenException (could not open database)
Unfortunately, the exception doesn’t provide anything specific
to go on.
A quick look at the
sqlite3-ruby code
suggested that I was not going to get the specifics, either. The Ruby-based wrapper
never calls sqlite3_errmsg after a call to sqlite3_open fails on behalf of SQLite3::Database.new.
A quick patch, however, fixed the problem:
--- sqlite3-ruby-1.1.0.orig/lib/sqlite3/database.rb
+++ sqlite3-ruby-1.1.0/lib/sqlite3/database.rb
@@ -109,7 +109,7 @@
@statement_factory = options[:statement_factory] || Statement
result, @handle = @driver.open( file_name, utf16 )
- Error.check( result, nil, "could not open database" )
+ Error.check( result, self, "could not open database" )
@closed = false
@results_as_hash = options.fetch(:results_as_hash,false)
(Submitted as Ticket 5504 on RubyForge.)
Before applying the patch, opening a database at a nonexistent path results in
a generic error message:
$ ruby -r rubygems -e 'require_gem "sqlite3-ruby";
SQLite3::Database.new("/no/such/path/db")'
... could not open database (SQLite3::CantOpenException) ...
After applying the patch, we get additional error information:
... could not open database: unable to open database file
(SQLite3::CantOpenException) ...
With the patch in place, all I have to do is wait for Typo to start
acting up again. Then I’ll have some interesting information in the
log.
Until then, I’m relying on cron
and a short monitoring script to restart Typo when it tips into
foolishness:
#!/bin/bash
url=http://blog.moertel.com/admin
addrs=tom@moertel.com
response=$(GET -sd $url 2>&1)
if [ "$response" != "200 OK" ]; then
{ echo "Response was: $response"; echo; service typo restart; } |
mail -s "Blog site not responding! (Restarting)" $addrs
fi
We’ll see how it goes.
Update: That was fast. The error popped up
again and this time the log told me something useful: “unable to open
database file.” Now, why couldn’t Typo open the database file,
especially since the file is perfectly fine and had been opened
successfully (many times) by the very same Typo process earlier? Here’s
a hint:
$ ls /proc/28788/fd | wc -l
1023
Seems like there’s a resource leak in Typo 4.0.3 (or Rails 1.1.6).
Under some conditions, instead of reusing existing database
connections, Typo keeps trying to open new ones. Eventually, it uses
up its allotment of file descriptors and the operating system is forced
to say, “That’s enough, pal,” (EMFILE).
I’ll look in to it more in the morning.
Update 2: Problem solved.
Posted in ruby, typo, rails, sysadmin
Tags rails, sqlite3, typo
1 comment
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Posted by Tom Moertel
Thu, 17 Aug 2006 06:21:00 GMT
As promised, here’s a Perl version of a dynamic-programming-based solver
for the Google Code Jam “countPaths” problem. It is a straight
translation of my improved Ruby implementation.
As you might expect, the Perl version was pretty fast. It proved faster than the
other scripting-language implementations I tried (in this rather unscientific benchmark, not to be taken seriously):
All timings were taken while solving the maximum-size, all-the-same-letter
problem on my 1.8-GHz Opteron box.
Here’s the Perl implementation:
#!/usr/bin/perl
# Tom Moertel <tom@moertel.com>
# 2006-08-16
#
# Perl-based solution to the Google Code Jam problem "countPaths".
# See http://www.cs.uic.edu/~hnagaraj/articles/code-jam/ for more.
use strict;
use warnings;
use List::Util 'sum';
use Math::BigInt;
sub count_paths {
my ($grid, $word) = @_;
my $rword = reverse $word;
my $rowmax = $#$grid;
my $colmax = length($grid->[0]);
my ($slab, $sum);
for my $i (0 .. length($rword) - 1) {
my $char = substr $rword, $i, 1;
($slab, my $previous_slab) = ([], $slab);
for my $r (0 .. $rowmax) {
my ($row, $line) = ($grid->[$r], $slab->[$r] ||= []);
for my $c (0 .. $colmax) {
$line->[$c] = $char ne substr($row,$c,1) ? 0 : $i == 0 ? 1 : do {
$sum = 0;
my $clo = $c > 0 ? $c - 1 : $c;
my $chi = $c < $colmax ? $c + 1 : $c;
for my $nr (($r>0 ? $r-1 : $r) .. ($r<$rowmax ? $r+1 : $r)) {
for my $nc ($clo .. $chi) {
$sum += $previous_slab->[$nr][$nc]
if $nr != $r || $nc != $c;
}
}
$sum;
}
}
}
}
sum map @$_, @$slab;
}
print count_paths([("A"x50)x50], "A"x50), $/;
# 3.03835410591851e+47
Update: I simplified the code a whisper by
removing an unnecessary variable
$counts. Here’s a diff
if you’re curious about what’s changed:
--- countpaths.pl.orig 2006-08-18 00:16:56.000000000 -0400
+++ /countpaths.pl 2006-08-18 00:19:30.000000000 -0400
@@ -19,11 +19,11 @@
my $rword = reverse $word;
my $rowmax = $#$grid;
my $colmax = length($grid->[0]);
- my ($counts, $slab, $sum);
+ my ($slab, $sum);
for my $i (0 .. length($rword) - 1) {
my $char = substr $rword, $i, 1;
- ($slab, my $previous_slab) = ($counts->[$i] ||= [], $slab);
+ ($slab, my $previous_slab) = ([], $slab);
for my $r (0 .. $rowmax) {
my ($row, $line) = ($grid->[$r], $slab->[$r] ||= []);
for my $c (0 .. $colmax) {
Update 2: Augmented the introductory paragraph with a parenthetical
comment that reminds readers that these single-fuzzy-data-point-style
timings should not be taken seriously. Also removed the word
“bested,” which might suggest that there is an optimization
contest in play. Please, no wagering.
Update 3: Stripped another variable ($j), which was
completely unused and leftover from previous implementation. (See
why you shouldn’t code late at night?)
Posted in programming, perl, fun stuff
Tags code, countpaths, google, jam, perl, puzzles, wordpaths
2 comments
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Posted by Tom Moertel
Wed, 16 Aug 2006 22:54:00 GMT
Here’s a Ruby version of a dynamic-programming-based solver
for the Google Code Jam “countPaths” problem. It is essentially
the same as my earlier Haskell-based solution (see Update 2), but much slower. Whereas the Haskell version solves the maximum-size, all-the-same-letter problem in about 0.9 second, the Ruby version requires about 71 seconds. Maybe somebody who understands Ruby’s internals better than I do can come up with some optimizations.
Here’s the code:
# Tom Moertel <tom@moertel.com>
# 2006-08-16
#
# Ruby-based solution to the Google Code Jam problem "countPaths"
# See http://www.cs.uic.edu/~hnagaraj/articles/code-jam/ for more.
class WordPath
include Enumerable
def initialize(grid, word)
@grid, @rword, @counts = grid, word.reverse, {}
end
def self.count_paths(grid, word)
new(grid, word).solve
end
def solve
final_index = @rword.length - 1
inject(0) { |sum, rc| sum + count_from(final_index, *rc) }
end
private
def count_from(i, r, c)
@counts[[r, c, i]] ||= begin
match = @rword[i] == @grid[r][c]
case
when i == 0 && match then 1
when match then subsum_of_neighbors(r, c, i - 1)
else 0
end
end
end
def subsum_of_neighbors(r, c, i)
sum = 0
rowlen = @grid[0].size
for nr in [r - 1, r, r + 1]
next if nr < 0 or nr >= @grid.size
for nc in [c - 1, c, c + 1]
next if nc < 0 || nc >= rowlen
next unless r != nr || c != nc
if count = count_from(i, nr, nc)
sum += count
end
end
end
sum
end
def each
@grid.each_index do |r|
@grid[0].size.times { |c| yield([r, c]) }
end
end
end
# TESTS
if ENV["TEST"] || ENV["BIG_TEST"]
require "test/unit"
class TestWordPath < Test::Unit::TestCase
if ENV["BIG_TEST"]
def test_big_problem
assert_equal \
303835410591851117616135618108340196903254429200,
WordPath.count_paths(["A"*50] * 50, "A"*50)
end
end
if ENV["TEST"]
def test_count_paths
w = WordPath
assert_equal 1,
w.count_paths(%w{ABC FED GHI}, "ABCDEFGHI")
assert_equal 2,
w.count_paths(%w{ABC FED GAI}, "ABCDEA")
assert_equal 0,
w.count_paths(%w{ABC DEF GHI}, "ABCD")
assert_equal 108,
w.count_paths(%w{AA AA}, "AAAA")
assert_equal 56448,
w.count_paths(%w{ABABA BABAB ABABA BABAB ABABA}, "ABABABBA")
assert_equal 2745564336,
w.count_paths(%w{AAAAA AAAAA AAAAA AAAAA AAAAA}, "AAAAAAAAAAA")
assert_equal 0,
w.count_paths(%w{AB CD}, "AA" )
assert_equal 1,
w.count_paths(%w{A}, "A")
end
end
end
end
Set the BIG_TEST and/or TEST environment
variables to run the test suites. For example:
$ TEST=1 ./countpaths.rb
Loaded suite countpaths
Started
.
Finished in 0.02062 seconds.
1 tests, 8 assertions, 0 failures, 0 errors
Unless somebody beats me to it,
I’ll whip up a Perl version for comparison.
Update: I managed to speed up my code by a
factor of 17. Now the execution time for the maximum-size,
all-the-same-letter problem is down to 4.2 seconds,
which is comparable with implementations in other
languages.
Ivan Peev’s Python implementation, for example, is only slightly faster
at 2.8 seconds.
A performance killer in the previous version was using
a single big hash for my cache. Now I use a 3D array:
counts[[i,r,c]] # one big hash (slower)
counts[i][r][c] # 3D-array (faster)
An additional advantage of the 3D-array is that I can peel off slabs
as I descend the outer layers of nested loops. For instance,
instead of writing:
for i in 0 .. 10
for j in 0 .. 10
sum += counts[i][j]
end
end
I can lift the counts[i] slab out of the inner
loop to eliminate j array-indexing operations:
for i in 0 .. 10
slab = counts[i]
for j in 0 .. 10
sum += slab[j]
end
end
Here’s the new code (sans the unit tests, which haven’t changed):
class WordPath
A = Array
def self.count_paths(grid, word)
rword = word.reverse
rowmax = grid.size - 1
colmax = grid.first.size - 1
for i in 0 .. rword.size - 1
letter = rword[i]
previous_slab, slab = slab, A.new(rowmax+1) { A.new(colmax+1) }
for r in 0 .. rowmax
row, line = grid[r], slab[r]
for c in 0 .. colmax
line[c] = unless letter == row[c]
0
else
if i == 0
1
else
sum = 0
clo = c > 0 ? c - 1 : c
chi = c < colmax ? c + 1 : c
for nr in (r > 0 ? r - 1 : r) .. (r < rowmax ? r + 1 : r)
for nc in clo .. chi
sum += previous_slab[nr][nc] if nr != r || nc != c
end
end
sum
end
end
end
end
end
sum = 0
for r in 0 .. rowmax
for c in 0 .. colmax
sum += slab[r][c]
end
end
sum
end
end
Update 2: I tweaked the code snippet above to remove a variable
that I just noticed wasn’t actually doing anything.
Posted in ruby, fun stuff
Tags code, countpaths, google, jam, ruby
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Posted by Tom Moertel
Tue, 15 Aug 2006 21:01:00 GMT
Via the article on this year’s Google Code
Jam on
Slashdot earlier today, I found Hareesh Nagarajan’s write-up of a previous
year’s Code-Jam
problem. Since
Google often comes up with interesting problems, I decided to give
this one a go.
The problem: count the ways to find a word by walking on a grid
You are given a rectangular grid of letters and a word to find.
You must compute the number of ways to find the word within the grid
using the following rules:
- start at any cell within the grid
- from there, move to any of the cell’s eight neighboring cells
- continue moving from that neighbor to its neighbors, and so on,
until you have spelled out the word
- you may visit cells more than once, but you cannot visit
the same cell twice in a row (i.e., you must move for each turn)
For instance, consider the following grid, taken from the examples in
the problem statement:
ABC
FED
GAI
If you were asked to find the word “AEA” on this grid, you could do it in
four ways:
Way --Move---
1 2 3
1: *BC ABC *BC
FED F*D FED
GAI GAI GAI
2: *BC ABC ABC
FED F*D FED
GAI GAI G*I
3: ABC ABC *BC
FED F*D FED
G*I GAI GAI
4: ABC ABC ABC
FED F*D FED
G*I GAI G*I
If you were asked to find “ABCD”, you could do it in only one way:
Way --Move--------
1 2 3 4
1: *BC A*C AB* ABC
FED FED FED FE*
GAI GAI GAI GAI
If you were asked to find “AAB”, you could not:
there are no “A” cells on the grid that have other “A” cells
as neighbors.
The tricksy nature of the problem
As you might expect from Google, this puzzle was designed to see
whether your solution can scale. A simple search will quickly bog
down because each step in the search can expand into vastly more
possibilities, as searching for “AAAA” on a seemingly harmless 2×2
grid of all “A” cells shows – there are 108 solutions.
The problem statement says that the grid may be up to 50×50 in
size and the word to find may be up to 50 letters long. Imagine,
then, that you are asked to find a word composed of 50 “A” letters
within a 50×50 grid of “A” cells. All of the cells will be valid
starting points, and each will have, on average, slightly less than 8
valid neighbors. Thus there will be about
50 × 50 × 8^49 = 4.5e47 ways to find
the word1. Tracing them all would take forever.
The trick is figuring out a more efficient way to solve the problem.
Since that’s the fun part of this problem, I won’t spoil it for you
by telling you how I did it. (If you truly want spoilers, you can study
my code.)
My solution
Here is what I came up with. I’ll present the code first and then
discuss how to use it.
Note: The code below is out of date but printed here for
continuity. See Update 5 for the most-recent revision.
{-
Tom Moertel <tom@moertel.com>
2006-08-15
Haskell-based solution to the Google Code Jam problem "countPaths";
see http://www.cs.uic.edu/~hnagaraj/articles/code-jam/ for more.
-}
module Main (main) where
import Control.Monad
import Data.Array
import qualified Data.Map as M
main = do
word:gridspec <- liftM words getContents
print $ (countPaths word (toGridArray gridspec) :: Integer)
countPaths word@(p:_) gridArray =
sum . M.elems $ foldl step state0 (zip word (tail word))
where
state0 = M.fromList [(cell, 1) | (cell, q) <- assocs gridArray, p == q]
neighbors = toNeighborMap gridArray
step state fromto = M.fromListWith (+) $ do
steps <- M.lookup fromto neighbors
(start, count) <- M.assocs state
cells <- M.lookup start steps
cell <- cells
return (cell, count)
toGridArray gridspec@(l1:_) =
listArray ((1,1), (length gridspec, length l1)) (concat gridspec)
toNeighborMap gridArray =
M.fromListWith (M.unionWith (flip (++))) $ do
(cell, p) <- assocs gridArray
cell' <- neighbors8 cell
guard $ inRange (bounds gridArray) cell'
return ((p, gridArray!cell'), M.singleton cell [cell'])
neighbors8 (r,c) =
[(r+h, c+v) | h <- [-1..1], v <- [-1..1], h /= 0 || v /= 0]
-- Local Variables: ***
-- compile-command: "ghc -O2 -o wordpath --make WordPath.hs" ***
-- End: ***
My solution generalizes upon the problem statement in a few ways:
- the grid can be any size and the word any length
- the grid and word can be composed of any comparable data type, not just A–Z letters (if you use the stdin interface, the code will use Unicode characters)
- the code will compute exact counts instead of returning -1 for counts greater than 1e9
You can enter problems from the command line. Enter the word first
and then the grid, each row separated by whitespace. For example:
$ ./wordpath
AAAAAAAAAAA
AAAAA
AAAAA
AAAAA
AAAAA
AAAAA
^D
2745564336
Give it a try
This was a fun problem to solve. If you have a little spare time,
give it a try. I would love to compare results and talk about
strategies.
Update: Fixed typo: Finding “AAAA” – not “AA” – on
a 2×2 grid of all “A” letters results in a count of 108. Thanks to Joshua Volz for pointing out my mistake.
Update 2: Here’s a dynamic-programming-based implementation of countPaths that is
about six times faster than my original implementation when solving the
maximum-size, all-the-same-letter problem:
countPaths word gridArray =
sum [counts ! (length word, cell) | cell <- cells]
where
counts = listArray ((1, (1, 1)), (length word, gridSize)) $
[countFrom i cell | i <- [1..length word], cell <- cells]
countFrom i cell
| i == 1 && match = 1
| match = sum [counts!((i-1),n) | n <- neighbors!cell]
| otherwise = 0
where
match = rword ! i == gridArray ! cell
neighbors = listArray (bounds gridArray) $
[filter (inRange (bounds gridArray)) (neighbors8 cell)
| cell <- cells ]
rword = listArray (1, length word) (reverse word)
cells = indices gridArray
gridSize = snd (bounds gridArray)
See the thread started by ‘psykotic’ on reddit.com for more.
Update 3: Ivan Peev has solved the problem in Python: Solving the Google Code Jam ‘countPaths’ problem in Python. Because his implementation uses the same algorithm that my implementation in Update 2 does, it makes a good vehicle for Haskell-versus-Python speed comparisons, an interesting topic in light of the warning Google provides about using Python in the Google Code Jam:
NOTE: All submissions have a maximum of 2 seconds of runtime
per test case. This limit is used in harder problems to
force submissions to be of a certain complexity. Because of
the inherent speed differences between Python and the other
offered languages is large, some problems may require extra
optimization or not be solvable using the Python language.
Ivan reports that his Python implementation solves the maximum-size, all-the-same-letter problem in about 8 seconds on an old 1-GHz AMD Athlon. The Haskell version comes in somewhat faster at 0.9 second on a 1.8-GHz AMD Opteron. (On the same Opteron, Ivan’s code clocks in at 2.8 seconds, which is impressive.)
Update 4: I have added a Ruby implementation and a Perl implementation and timings, too. On the the maximum-size, all-the-same-letter problem, Ruby clocks in at 4.2 seconds; Perl in 1.7 seconds. See the Perl implementation for a summary table of the timings.
Update 5: As I promised reader Kartik in a comment, here is a
further-simplified, yet 25-percent-faster, version of my
implementation in Update 2. This version eliminates the cache in
favor of a current-state array that is folded through the successive
letters of the target word. The result of the fold operation is the
final state array, whose elements are summed to yield the final
result. Here’s the complete code:
{-
Tom Moertel <tom@moertel.com>
2006-08-15 (revised 2006-09-01)
Haskell-based solution to the Google Code Jam problem "countPaths"
See http://www.cs.uic.edu/~hnagaraj/articles/code-jam/ for more.
This implementation is based on the dynamic-programming strategy
mentioned by reddit.com user "psykotic":
http://programming.reddit.com/info/dni1/comments/cdp59.
-}
module Main (main) where
import Control.Monad
import Data.Array
main = do
word:gridspec <- liftM words getContents
print $ (countPaths word (toGridArray gridspec) :: Integer)
countPaths word grid =
sum . elems $ foldl move counts0 (tail (reverse word))
where
move counts c = step c $ sum . map (counts!) . neighbors
counts0 = step (last word) (const 1)
step c f = listArray (bounds grid) $ map (match c f) cells
match c f cell = if c == grid!cell then f cell else 0
neighbors cell = filter (inRange (bounds grid)) (neighbors8 cell)
cells = indices grid
toGridArray gridspec@(l1:_) =
listArray ((1,1), (length gridspec, length l1)) (concat gridspec)
neighbors8 (r,c) =
[(h, v) | h <- [r-1..r+1], v <- [c-1..c+1], h /= r || v /= c]
-- Local Variables: ***
-- compile-command: "ghc -O2 -o wordpathdp --make WordPathDP.hs" ***
-- End: ***
1 I believe that the exact count is
303 835 410 591 851 117 616 135 618 108 340 196 903 254 429 200 (approx. 3.04e47). It takes about six seconds 0.75 second to compute on a 1.8-GHz AMD64 box running Linux.
Posted in programming, haskell, fun stuff
Tags code, countpaths, google, haskell, jam, puzzles, wordpaths
7 comments
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Posted by Tom Moertel
Mon, 14 Aug 2006 17:50:00 GMT
John Goerzen recently compared a
bunch of distributed source-code-management systems in Whose
Distributed VCS Is The Most
Distributed?
His comparison includes all of the major contenders except for
SVK and monotone.
He ends up favoring Darcs, which I also prefer and
use to manage my projects’ code.
If you’re looking for a quick overview of distributed SCM options,
check out John’s comparison.
Also check out Bryce “Zooko” Wilcox-O’Hearn’s Quick Reference Guide to Free Software Decentralized Revision Control Systems, which is updated regularly. (He also likes Darcs.)
Update: fixed small typo.
Posted in programming, reviews
Tags darcs, scm, vcs
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Posted by Tom Moertel
Wed, 09 Aug 2006 22:25:00 GMT
Here’s quick patch I made to my Typo 4.0
installation to add Reddit and
del.icio.us buttons to articles. Now one click
is all it takes to submit an article to either site. (These buttons
appear on my blog at the end of each article.)
If you want to apply the patch, be sure to also place copies of the
button images into public/images. You can snag the
images from my site or from the Reddit and del.icio.us sites.
Here’s the patch:
--- typo.orig/app/helpers/articles_helper.rb 2006-07-24 11:04:27.000000000 -0400
+++ typo/app/helpers/articles_helper.rb 2006-08-09 17:06:51.000000000 -0400
@@ -73,7 +74,26 @@
code << tag_links(article) unless article.tags.empty?
code << comments_link(article) if article.allow_comments?
code << trackbacks_link(article) if article.allow_pings?
- end.join(" <strong>|</strong> ")
+ code << submit_this_article_links(article)
+ end.join(" | ")
+ end
+
+ def submit_this_article_links(article)
+ u_url = u(url_of(article, false))
+ u_title = u(article.title)
+ [ # move me into a database table
+ [ "Submit to Reddit.com",
+ "http://reddit.com/submit?url=<URL>&title=<TITLE>",
+ image_tag("reddit.gif", :size => "18x18", :border => 0)
+ ],
+ [ "Save to del.icio.us",
+ "http://del.icio.us/post?v=2&url=<URL>&title=<TITLE>",
+ image_tag("delicious.gif", :size => "16x16", :border => 0)
+ ]
+ ].map do |submit_title, submit_url, image_tag|
+ submit_url = submit_url.gsub(/<URL>/, u_url).gsub(/<TITLE>/, u_title)
+ %(<a href="#{h submit_url}" title="#{h submit_title}: “#{h article.title}”">#{image_tag}</a>)
+ end.join(" ")
end
def category_links(article)
The code is begging for a little refactoring love, but I’m off for vacation
in about twenty minutes, so it will have to wait.
Posted in site news, typo, hacks
Tags delicous, reddit, typo
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Posted by Tom Moertel
Wed, 09 Aug 2006 04:35:00 GMT
If an extended power outage drains your UPS, and your servers are
forced to shut down, will they automatically start up again when the
power is eventually restored? It’s a good question, especially
if your servers are in some distant, unattended server room.
Unless you’ve tested your servers, don’t assume that the answer
is Yes.
Many servers offer a BIOS configuration option that forces them to
automatically power on when they receive line voltage. If your
servers have this option, just set it and you’re done.
Unfortunately, some servers, including a Dell PowerEdge 1600SC
that I’m using, lack this configuration option. When these servers
turn themselves off as the final step of a UPS-controlled
shutdown, they don’t start up again when the power is restored.
Because they were shut down before the power was cut off, they think
they are supposed to remain off when the power is restored. That is,
they remember their on/off status across power outages.
Fortunately, there is a way to make sure these servers automatically
power on: shut them down without powering them off; halt them
instead. That way, when the UPS finally cuts off the supply voltage,
the servers will still be in their “on” state, and they will remember
this state across the outage. Later, when the power is restored, the servers
will automatically restore their pre-outage state and power up.
With Fedora Core Linux and Network UPS
Tools, it’s not difficult to make
sure the servers are halted instead of powered off, but the implementation
isn’t obvious. To spare you the digging, here are the
important bits.
- When the power fails and the UPS-monitoring software decides that
the batteries are almost depleted, it will initiate a server shutdown
using the command defined in the
/etc/ups/upsmon.conf
file. The default command is this:
SHUTDOWNCMD "/sbin/shutdown -h +0"
- The shutdown command will tell the
init process
to enter runlevel 0, which is the prepare-to-halt-the-system runlevel.
- The
init process will stop all of the running
services in an orderly fashion, and then, as the last step, invoke the
final script in the shutdown process:
/etc/rc.d/rc0.d/S01halt.
- The final lines of the
S01halt script will
power off the server. Unless, that is, the file /halt is
present, in which case the script will halt the server instead.
Thus the trick is to make sure that the /halt
file does exist. The trick turns out to be easy to pull off;
just redefine the shutdown command in /etc/ups/upsmon.conf:
SHUTDOWNCMD "/bin/touch /halt; /sbin/shutdown -h +0"
And that’s all there is to it!
Posted in linux, hardware, sysadmin
Tags fedora, halt, hardware, linux, nut, power, shutdown, ups
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Posted by Tom Moertel
Thu, 03 Aug 2006 05:34:00 GMT
Amazon.com recently launched Amazon Grocery by offering a $10 discount on purchases of $49 or more. I took the bait.
Amazon’s plan
Judging from Amazon’s initial grocery offerings, I suspect their
plan goes something like this:
- offer only goods that can be warehoused (no perishables)
- undercut traditional retailers on high-margin goods such as organics, naturals, and upscale brands (e.g., Annie’s Homegrown, Bob’s Red Mill, Newman’s Own, and Tom’s of Maine)
- offer a greater breadth of products than traditional retailers can stock (the long-tail play)
- offer customers free “super-saver” shipping to eliminate shipping as a customer concern
- sell products in bulk-quantity packs to reduce Amazon’s internal shipping costs
Prices and bulk packs
For pricing perspective, I grabbed the receipt from my most-recent
trip to Giant Eagle, the local grocery store.
Generally, when both Amazon and Giant Eagle offered the same product,
Giant Eagle priced it significantly higher, in one case more than
twice as high. For example, here are four items from the receipt:
Amazon sells the first three products in packs of 12; the last
product, in packs of 6. For the Mac & Cheese and Red Hot Blues chips,
I don’t mind the bulk packaging at all: my family goes through this
stuff quickly. The last two
items, however, I probably won’t buy from Amazon. We don’t
eat them fast enough to make storage practical.
Test run reveals flaws
Tempted by the $10 discount offer, I placed an order with Amazon
Grocery. Here are the products I ordered:
- Bob’s Red Mill Large Flake Nutritional Food Yeast, 8-Ounce Packages, Pack of 4 – Yes, I actually like this stuff.
- Coomb’s Maple Syrup, Premium Grade B, Organic, 32-Ounce Jug – Grade B refers to darkness, not quality, and Grade B rules: its mightier maple flavor blows away the comparatively wimpy Grade A. (Amazon’s price was $13 per quarter-gallon, which is actually a better deal than the $28.55 I paid for a half gallon of organic Grade B when I last ordered from an online supplier.)
- Annie’s Homegrown Organic Shells with White Cheddar Mac & Cheese, 6-Ounce Boxes, Pack of 12 – My wife loves this mac & cheese, and the boxes are small, so a 12 pack is just about perfect.
Today, the order arrived.
There was one mistake. Amazon sent me the whole-wheat version of the mac & cheese, when I had ordered the regular version. Oops.
It was easy to see how the mix-up happened. The box that contained the 12 pack was clearly labeled by the manufacturer as “organic whole wheat shells & cheddar.” Here’s a photo:

But somebody at Amazon had applied the wrong bar code to the box:

(The & that escaped from the Land Of XML is a nice touch, too.)
Mislabeled as it was, the whole-wheat 12 pack was just waiting to cause
problems for a customer like me.
Is Amazon taking Grocery seriously?
When I called Amazon about the order mix-up, I was curious about how
they would handle it. Amazon Grocery is a complex new offering, and
there were bound to be mistakes. The only question was whether Amazon
was prepared to correct the mistakes in a way that made me feel
confident in getting what I ordered if I were to purchase groceries
from them again.
In this case, they did. When I told the customer representative that
I had been shipped the wrong box, he said that he would put in a “reorder”
for the correct mac & cheese and send it to me via next-day shipping.
As a bonus I could keep the 12-pack of whole-wheat mac & cheese
that had been mistakenly sent to me. I doubt a typical grocery
store would be so willing to eat the cost of its mistakes.
When I told the rep that the box I had received had been mislabeled at
the warehouse and cautioned him against repeating the mix-up by
sending me another mislabeled box, he said he would make a note of my
concern. He also said – and I found this very interesting – that
Amazon’s policy is not to take action until they receive two complaints
about an item being mislabeled. (I hope there is some math behind
that policy.)
Will I receive another mislabeled box? Time will tell.
Update 2006-08-04:
As promised, Amazon sent me a replacement
package, which arrived the next day and contained the correct product.
Cautious optimism
All in all, I’m upbeat about Amazon Grocery. Amazon stocks many
products I can’t find at the local grocery store, and where there is
product overlap, Amazon seems to offer a compelling price advantage. No,
Amazon won’t replace regular trips to the grocery store, but it
probably will change my buying habits for the products that
grocery stores routinely mark-up through the roof. I can’t
see that as anything but good.
Posted in reviews, food
Tags amazon, eagle, giant, groceries, shopping
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