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| class MinecraftAccountVerifier | |
| require 'net/http' | |
| require 'uri' | |
| AUTH_URI = URI.parse('https://login.minecraft.net/').freeze | |
| CLIENT_VERSION = 13 | |
| attr_reader :error | |
| # Public: verify an account as a true Minecraft account this user has access to. |
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| # This is the msttcorefonts spec file as distributed from | |
| # http://corefonts.sourceforge.net/. | |
| %define name msttcorefonts | |
| # nowdays most (all?) distributions seems to use this. Oh the joys of the FHS | |
| %define ttmkfdir /usr/bin/ttmkfdir | |
| %define fontdir /usr/share/fonts/%{name} |
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| 2013-02-13T03:58:36+00:00 app[web.2]: ** [NewRelic][02/13/13 03:58:36 +0000 32135350-f34d-445d-9360-85e5ef0df147 (2)] ERROR : Error establishing connection with New Relic Service at collector.newrelic.com:80: | |
| 2013-02-13T03:58:36+00:00 app[web.2]: ArgumentError: wrong number of arguments (2 for 1) | |
| 2013-02-13T03:58:36+00:00 app[web.2]: /app/vendor/bundle/ruby/1.9.1/gems/activesupport-3.2.12/lib/active_support/core_ext/object/to_json.rb:15:in `to_json' | |
| 2013-02-13T03:58:36+00:00 app[web.2]: /usr/local/lib/ruby/1.9.1/json/common.rb:212:in `generate' | |
| 2013-02-13T03:58:36+00:00 app[web.2]: /usr/local/lib/ruby/1.9.1/json/common.rb:212:in `generate' | |
| 2013-02-13T03:58:36+00:00 app[web.2]: /usr/local/lib/ruby/1.9.1/json/common.rb:336:in `dump' | |
| 2013-02-13T03:58:36+00:00 app[web.2]: /app/vendor/bundle/ruby/1.9.1/gems/newrelic_rpm-3.5.5.38/lib/new_relic/agent/new_relic_service.rb:348:in `dump' | |
| 2013-02-13T03:58:36+00:00 app[web.2]: /app/vendor/bundle/ruby/1.9.1/gems/newrelic_rpm-3.5.5.38/lib/new_relic/agent/new_re |
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| #lang racket | |
| (define (sum-of-multiples-of a b n) | |
| (define (iter acc n) | |
| (if (= n 0) | |
| acc | |
| (iter | |
| (+ acc (if (or (= (modulo n a) 0) (= (modulo n b) 0)) n 0)) | |
| (- n 1)))) |
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| import os | |
| import numpy | |
| from pandas import DataFrame | |
| from sklearn.feature_extraction.text import CountVectorizer | |
| from sklearn.naive_bayes import MultinomialNB | |
| from sklearn.pipeline import Pipeline | |
| from sklearn.cross_validation import KFold | |
| from sklearn.metrics import confusion_matrix, f1_score | |
| NEWLINE = '\n' |
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| data/H1/Tagged_Training_04_13_1334300401.mat | |
| data/H1/Tagged_Training_10_22_1350889201.mat | |
| data/H1/Tagged_Training_10_23_1350975601.mat | |
| data/H1/Tagged_Training_10_24_1351062001.mat | |
| 0-length event: | |
| 36,Trash Compactor,1351104180,1351104180 | |
| 0-length event: | |
| 36,Trash Compactor,1351104300,1351104300 | |
| 0-length event: | |
| 36,Trash Compactor,1351104360,1351104360 |
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| >>> K = X.dot(X.transpose()) | |
| >>> K | |
| array([[ 2, 3, 3, 5, 5, 6], | |
| [ 3, 5, 4, 8, 7, 9], | |
| [ 3, 4, 5, 7, 8, 9], | |
| [ 5, 8, 7, 13, 12, 15], | |
| [ 5, 7, 8, 12, 13, 15], | |
| [ 6, 9, 9, 15, 15, 18]]) | |
| >>> np.linalg.inv(K) | |
| Traceback (most recent call last): |
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| >> IF = -> b { b } | |
| => #<Proc:0x007fb4e4049cc8 (lambda)> | |
| >> LEFT = -> p { p[-> x { -> y { x } } ] } | |
| => #<Proc:0x007fb4e403d680 (lambda)> | |
| >> RIGHT = -> p { p[-> x { -> y { y } } ] } | |
| => #<Proc:0x007fb4e4028ff0 (lambda)> | |
| >> IS_EMPTY = LEFT |
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| module CommandLineArguments | |
| def argv | |
| ARGV | |
| end | |
| end |
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| asdf |