$ hello
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| prefix=TPL_PREFIX | |
| major_version=5.2 | |
| version=5.2.3 | |
| lib_name=lua | |
| libdir=${prefix}/lib | |
| includedir=${prefix}/include | |
| # | |
| # The following are intended to be used via "pkg-config --variable". |
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| #!/usr/bin/env ruby | |
| require 'json' | |
| require 'msgpack' | |
| data = JSON.parse($stdin.read) | |
| $stdout.write(data.to_msgpack) |
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| require "benchmark" | |
| require "msgpack" | |
| require "json" | |
| N = Integer(ARGV[0] || 10000) | |
| data = { 'hello' => { 'there' => 'peeps' }, | |
| 'yes' => [1, 2, 3], | |
| 'no' => true, 'bam' => false } |
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| diff --git a/tests/models/listing_test.js b/tests/models/listing_test.js | |
| index 14c3d14..c04b7a6 100644 | |
| --- a/tests/models/listing_test.js | |
| +++ b/tests/models/listing_test.js | |
| @@ -10,6 +10,7 @@ var dict = { | |
| 'Name': 'CPK', | |
| 'HeadingText': 'Restaurants', | |
| 'PrimaryCollection': 'food', | |
| + 'Personalization.TotalNotes': '10' | |
| }; |
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| worker_processes 1; | |
| events { | |
| worker_connections 1024; | |
| } | |
| http { | |
| include /home/t/nginx/conf/mime.types; | |
| default_type application/octet-stream; |
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| console.log(new Buffer("Hello World").toString('base64')); | |
| // => "SGVsbG8gV29ybGQ=" | |
| console.log(new Buffer("SGVsbG8gV29ybGQ=", 'base64').toString('ascii')) | |
| // => "Hello World" |
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| require 'benchmark' | |
| require 'rack' | |
| require 'json' | |
| payload = { | |
| 'user' => { | |
| 'a' => '1', 'b' => '2', | |
| 'comments' => [ | |
| { 'body' => 'Hello' }, | |
| { 'body' => 'World' } |
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| Dir["*.NEF"].each do |file| | |
| # Since you don't really get to display the raw quality, | |
| # we save ourselves bandwidth and reduce to something reasonable, | |
| # in this case 2520x2160. | |
| puts `gm convert -resize '2520X2160>' #{file} #{file.gsub(".NEF", ".JPG")}` | |
| end |
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| import re, sys | |
| keys = ('abc', 'def', 'ghi', 'jkl', 'mno', 'pqrs', 'tuv', 'wxyz') | |
| m = dict((l, str(n)) for n, letters in enumerate(keys, start=2) for l in letters) | |
| data, ocurrences = {}, {} | |
| wmatch = re.compile('[^a-z]+') | |
| def learn(word): | |
| num = ''.join(m[c] for c in word) | |
| for i in xrange(1, len(word) + 1): |