Results for must-done

An experimental Future that is guaranteed to be done

This is a TeX-to-HTML+MathML+CSS converter class using the Javascript-based KaTeX, interpreted by one of the Javascript engines supported by ExecJS. The intended purpose is to eliminate the need for math-rendering Javascript in the client's HTML browser. Therefore the name: SsKaTeX means Server-side KaTeX. Javascript execution context initialization can be done once and then reused for formula renderings with the same general configuration. As a result, the performance is reasonable. The configuration supports arbitrary locations of the external file katex.min.js as well as custom Javascript for pre- and postprocessing. For that reason, the configuration must not be left to untrusted users.

A simple Gem to enable any `ActiveRecord::Base` object to store a set of attributes in a set like structure represented through a bitfield on the database level. You only have to specify the name of the set to hold the attributes in question an the rest is done for you through some fine selected Ruby magic. Here is a simple example of how you could use the gem: class Person < ActiveRecord::Base has_set :interests end To get this to work you need some additional work done first: 1. You need an unsigned 8-Byte integer column in your database to store the bitfield. It is expected that the column is named after the name of the set with the suffix `_bitfield` appended (e.g. `interests_bitfield`). You can change that default behavior by providing the option `:column_name` (e.g. `has_set :interests, :column_name => :my_custom_column`). 2. You need a class that provides the valid values to be stored within the set and map the single bits back to something meaningful. The class should be named after the name of the set (you can change this through the `:enum_class` option). This class could be seen as an enumeration and must implement the following simple interface: * There must be a class method `values` to return all valid enumerators in the defined enumeration. * Each enumerator must implement a `name` method to return a literal representation for identification. The literal must be of the type `String`. * Each enumerator must implement a `bitfield_index` method to return the exponent of the number 2 for calculation the position of this enumerator in the bitfield. **Attention** Changing this index afterwards will destroy your data integrity. Here is a simple example of how to implement such a enumeration type while using the the `renum` gem for simplicity. You are free to use anything else that matches the described interface. enum :Interests do attr_reader :bitfield_index Art(0) Golf(1) Sleeping(2) Drinking(3) Dating(4) Shopping(5) def init(bitfield_index) @bitfield_index = bitfield_index end end

unicorn is an HTTP server for Rack applications that has done decades of damage to the entire Ruby ecosystem due to its ability to tolerate (and thus encourage) bad code. It is only designed to handle fast clients on low-latency, high-bandwidth connections and take advantage of features in Unix/Unix-like kernels. Slow clients must only be served by placing a reverse proxy capable of fully buffering both the the request and response in between unicorn and slow clients.

gem command around reviewed topic branches. Supports workflow of the form: # alexander: git work-on <topic> git done # bismarck: git status # notice a review branch git review <topic> # happy, merge into master, push and cleanup git accept git review <topic2> # unhappy git reject # alexander: git status # notice rejected topic git work-on <topic> see README.rdoc for more (any) details. To make use of bash autocompletion, you must do the following: 1. Make sure you source share/completion.bash before you source git's completion. 2. Optionally, copy git-topic-completion to your gem's bin directory. This is to sidestep ruby issue 3465 which makes loading gems far too slow for autocompletion.

The inner working of an enigma machine has three rotors. Each rotors has wrapped around it the 26 letters. When a key is pressed it moves the rotor ahead one alphabet. The other rotors kick off after the first has completed a revolution and so for the third.When this is done, text in plain english becomes gibberish. Before you start encrypting you and your recipient must agree upon a key which can be set on the machine. Find out more on my GitHub page

unicorn is an HTTP server for Rack applications that has done decades of damage to the entire Ruby ecosystem due to its ability to tolerate (and thus encourage) bad code. It is only designed to handle fast clients on low-latency, high-bandwidth connections and take advantage of features in Unix/Unix-like kernels. Slow clients must only be served by placing a reverse proxy capable of fully buffering both the the request and response in between unicorn and slow clients.

unicorn is an HTTP server for Rack applications that has done decades of damage to the entire Ruby ecosystem due to its ability to tolerate (and thus encourage) bad code. It is only designed to handle fast clients on low-latency, high-bandwidth connections and take advantage of features in Unix/Unix-like kernels. Slow clients must only be served by placing a reverse proxy capable of fully buffering both the the request and response in between unicorn and slow clients.

Color is a Ruby library to provide RGB, CMYK, HSL, and other color space manipulation support to applications that require it. It provides optional named RGB colors that are commonly supported in HTML, SVG, and X11 applications. The Color library performs purely mathematical manipulation of the colors based on color theory without reference to device color profiles (such as sRGB or Adobe RGB). For most purposes, when working with RGB and HSL color spaces, this won't matter. Absolute color spaces (like CIE LAB and CIE XYZ) cannot be reliably converted to relative color spaces (like RGB) without color profiles. When necessary for conversions, Color provides D65 and D50 reference white values in Color::XYZ. Color 2.2 adds a minor feature where an RGB color created from values can silently inherit the `#name` of a predefined color if `color/rgb/colors` has already been loaded. It builds on the Color 2.0 major release, dropping support for all versions of Ruby prior to 3.2 as well as removing or renaming a number of features. The main breaking changes are: - Color classes are immutable Data objects; they are no longer mutable. - RGB named colors are no longer loaded on gem startup, but must be required explicitly (this is _not_ done via `autoload` because there are more than 100 named colors with spelling variations) with `require "color/rgb/colors"`. - Color palettes have been removed. - `Color::CSS` and `Color::CSS#[]` have been removed.

minitest provides a complete suite of testing facilities supporting TDD, BDD, and benchmarking. "I had a class with Jim Weirich on testing last week and we were allowed to choose our testing frameworks. Kirk Haines and I were paired up and we cracked open the code for a few test frameworks... I MUST say that minitest is *very* readable / understandable compared to the 'other two' options we looked at. Nicely done and thank you for helping us keep our mental sanity." -- Wayne E. Seguin minitest/test is a small and incredibly fast unit testing framework. It provides a rich set of assertions to make your tests clean and readable. minitest/spec is a functionally complete spec engine. It hooks onto minitest/test and seamlessly bridges test assertions over to spec expectations. minitest/benchmark is an awesome way to assert the performance of your algorithms in a repeatable manner. Now you can assert that your newb co-worker doesn't replace your linear algorithm with an exponential one! minitest/pride shows pride in testing and adds coloring to your test output. I guess it is an example of how to write IO pipes too. :P minitest/test is meant to have a clean implementation for language implementors that need a minimal set of methods to bootstrap a working test suite. For example, there is no magic involved for test-case discovery. "Again, I can't praise enough the idea of a testing/specing framework that I can actually read in full in one sitting!" -- Piotr Szotkowski Comparing to rspec: rspec is a testing DSL. minitest is ruby. -- Adam Hawkins, "Bow Before MiniTest" minitest doesn't reinvent anything that ruby already provides, like: classes, modules, inheritance, methods. This means you only have to learn ruby to use minitest and all of your regular OO practices like extract-method refactorings still apply. == Features/Problems: * minitest/autorun - the easy and explicit way to run all your tests. * minitest/test - a very fast, simple, and clean test system. * minitest/spec - a very fast, simple, and clean spec system. * minitest/benchmark - an awesome way to assert your algorithm's performance. * minitest/pride - show your pride in testing! * minitest/test_task - a full-featured and clean rake task generator. * Incredibly small and fast runner, but no bells and whistles. * Written by squishy human beings. Software can never be perfect. We will all eventually die.

Turnitin Core API (TCA) provides direct API access to the core functionality provided by Turnitin. TCA supports file submission, similarity report generation, group management, and visualization of report matches via Cloud Viewer or PDF download. Below is the full flow to successfully set up an integration scope, an API Key, and make calls to TCA. Integration Scope and API Key management is done via the Admin Console UI by logging in as an admin user. For more details, go to our [developer portal documentation page](https://developers.turnitin.com/docs). ## Integration Scope and API Key Management TCA API calls must provide an API Key for authentication, so you must first have at least one integration scope associated with at least one API Key to use TCA. ### Admin Console UI First, login to Admin Console UI as an *Admin* user with permission to create Integration Scopes, under a tenant that is licensed to use the TCA product Integration Scopes (you can create a new one, or add keys to existing) * Click `Integrations` in the side bar --> `+ Add Integration` at top the top of the page --> Enter a name --> `Add` Button API Keys * Click `Integrations` in the side bar --> `Create API Key` Button next to a given Integration Scope --> Enter a name --> click `Create and View button` * Copy/Save the key manually or click save to clipboard button to copy it (this is the only time it will show) ## TCA Flow * Register a webhook * Create a submission * Upload a file for the submission * Wait for the submission upload to process * If you registered a webhook, a callback will be sent to it when upload is complete * The status of the *submission* will also update to `COMPLETE` * Request a Similarity Report * Wait for similarity report to process * If you registered a webhook, a callback will be sent to it when report is complete * The status of the *report* will also be updated to `COMPLETE` * Request a URL with parameters to view the Similarity Report

:title: The Ruby API :section: PYAPNS::Client There's python in my ruby! This is a class used to send notifications, provision applications and retrieve feedback using the Apple Push Notification Service. PYAPNS is a multi-application APS provider, meaning it is possible to send notifications to any number of different applications from the same application and same server. It is also possible to scale the client to any number of processes and servers, simply balanced behind a simple web proxy. It may seem like overkill for such a bare interface - after all, the APS service is rather simplistic. However, PYAPNS takes no shortcuts when it comes to completeness/compliance with the APNS protocol and allows the user many optimization and scaling vectors not possible with other libraries. No bandwidth is wasted, connections are persistent and the server is asynchronous therefore notifications are delivered immediately. PYAPNS takes after the design of 3rd party push notification service that charge a fee each time you push a notification, and charge extra for so-called 'premium' service which supposedly gives you quicker access to the APS servers. However, PYAPNS is free, as in beer and offers more scaling opportunities without the financial draw. :section: Provisioning To add your app to the PYAPNS server, it must be `provisioned` at least once. Normally this is done once upon the start-up of your application, be it a web service, desktop application or whatever... It must be done at least once to the server you're connecting to. Multiple instances of PYAPNS will have to have their applications provisioned individually. To provision an application manually use the `PYAPNS::Client#provision` method. require 'pyapns' client = PYAPNS::Client.configure client.provision :app_id => 'cf', :cert => '/home/ss/cert.pem', :env => 'sandbox', :timeout => 15 This basically says "add an app reference named 'cf' to the server and start a connection using the certification, and if it can't within 15 seconds, raise a `PYAPNS::TimeoutException` That's all it takes to get started. Of course, this can be done automatically by using PYAPNS::ClientConfiguration middleware. `PYAPNS::Client` is a singleton class that is configured using the class method `PYAPNS::Client#configure`. It is sensibly configured by default, but can be customized by specifying a hash See the docs on `PYAPNS::ClientConfiguration` for a list of available configuration parameters (some of these are important, and you can specify initial applications) to be configured by default. :section: Sending Notifications Once your client is configured, and application provisioned (again, these should be taken care of before you write notification code) you can begin sending notifications to users. If you're wondering how to acquire a notification token, you've come to the wrong place... I recommend using google. However, if you want to send hundreds of millions of notifications to users, here's how it's done, one at a time... The `PYAPNS::Client#notify` is a sort of polymorphic method which can notify any number of devices at a time. It's basic form is as follows: client.notify 'cf', 'long ass app token', {:aps=> {:alert => 'hello?'}} However, as stated before, it is sort of polymorphic: client.notify 'cf', ['token', 'token2', 'token3'], [alert, alert2, alert3] client.notify :app_id => 'cf', :tokens => 'mah token', :notifications => alertHash client.notify 'cf', 'token', PYAPNS::Notification('hello tits!') As you can see, the method accepts paralell arrays of tokens and notifications meaning any number of notifications can be sent at once. Hashes will be automatically converted to `PYAPNS::Notification` objects so they can be optimized for the wire (nil values removed, etc...), and you can pass `PYAPNS::Notification` objects directly if you wish. :section: Retrieving Feedback The APS service offers a feedback functionality that allows application servers to retrieve a list of device tokens it deems to be no longer in use, and the time it thinks they stopped being useful (the user uninstalled your app, better luck next time...) Sounds pretty straight forward, and it is. Apple recommends you do this at least once an hour. PYAPNS will return a list of 2-element lists with the date and the token: feedbacks = client.feedback 'cf' :section: Asynchronous Calls PYAPNS::Client will, by default, perform no funny stuff and operate entirely within the calling thread. This means that certain applications may hang when, say, sending a notification, if only for a fraction of a second. Obviously not a desirable trait, all `provision`, `feedback` and `notify` methods also take a block, which indicates to the method you want to call PYAPNS asynchronously, and it will be done so handily in another thread, calling back your block with a single argument when finished. Note that `notify` and `provision` return absolutely nothing (nil, for you rub--wait you are ruby developers!). It is probably wise to always use this form of operation so your calling thread is never blocked (especially important in UI-driven apps and asynchronous servers) Just pass a block to provision/notify/feedback like so: PYAPNS::Client.instance.feedback do |feedbacks| feedbacks.each { |f| trim_token f } end :section: PYAPNS::ClientConfiguration A middleware class to make `PYAPNS::Client` easy to use in web contexts Automates configuration of the client in Rack environments using a simple confiuration middleware. To use `PYAPNS::Client` in Rack environments with the least code possible `use PYAPNS::ClientConfiguration` (no, really, in some cases, that's all you need!) middleware with an optional hash specifying the client variables. Options are as follows: use PYAPNS::ClientConfiguration( :host => 'http://localhost/' :port => 7077, :initial => [{ :app_id => 'myapp', :cert => '/home/myuser/apps/myapp/cert.pem', :env => 'sandbox', :timeout => 15 }]) Where the configuration variables are defined: :host String the host where the server can be found :port Number the port to which the client should connect :initial Array OPTIONAL - an array of INITIAL hashes INITIAL HASHES: :app_id String the id used to send messages with this certification can be a totally arbitrary value :cert String a path to the certification or the certification file as a string :env String the environment to connect to apple with, always either 'sandbox' or 'production' :timoeut Number The timeout for the server to use when connecting to the apple servers :section: PYAPNS::Notification An APNS Notification You can construct notification objects ahead of time by using this class. However unnecessary, it allows you to programmatically generate a Notification like so: note = PYAPNS::Notification.new 'alert text', 9, 'flynn.caf', {:extra => 'guid'} -- or -- note = PYAPNS::Notification.new 'alert text' These can be passed to `PYAPNS::Client#notify` the same as hashes

Lookout Lookout is a unit testing framework for Ruby¹ that puts your results in focus. Tests (expectations) are written as follows expect 2 do 1 + 1 end expect ArgumentError do Integer('1 + 1') end expect Array do [1, 2, 3].select{ |i| i % 2 == 0 } end expect [2, 4, 6] do [1, 2, 3].map{ |i| i * 2 } end Lookout is designed to encourage – force, even – unit testing best practices such as • Setting up only one expectation per test • Not setting expectations on non-public APIs • Test isolation This is done by • Only allowing one expectation to be set per test • Providing no (additional) way of accessing private state • Providing no setup and tear-down methods, nor a method of providing test helpers Other important points are • Putting the expected outcome of a test in focus with the steps of the calculation of the actual result only as a secondary concern • A focus on code readability by providing no mechanism for describing an expectation other than the code in the expectation itself • A unified syntax for setting up both state-based and behavior-based expectations The way Lookout works has been heavily influenced by expectations², by {Jay Fields}³. The code base was once also heavily based on expectations, based at Subversion {revision 76}⁴. A lot has happened since then and all of the work past that revision are due to {Nikolai Weibull}⁵. ¹ Ruby: http://ruby-lang.org/ ² Expectations: http://expectations.rubyforge.org/ ³ Jay Fields’s blog: http://blog.jayfields.com/ ⁴ Lookout revision 76: https://github.com/now/lookout/commit/537bedf3e5b3eb4b31c066b3266f42964ac35ebe ⁵ Nikolai Weibull’s home page: http://disu.se/ § Installation Install Lookout with % gem install lookout § Usage Lookout allows you to set expectations on an object’s state or behavior. We’ll begin by looking at state expectations and then take a look at expectations on behavior. § Expectations on State: Literals An expectation can be made on the result of a computation: expect 2 do 1 + 1 end Most objects, in fact, have their state expectations checked by invoking ‹#==› on the expected value with the result as its argument. Checking that a result is within a given range is also simple: expect 0.099..0.101 do 0.4 - 0.3 end Here, the more general ‹#===› is being used on the ‹Range›. § Regexps ‹Strings› of course match against ‹Strings›: expect 'ab' do 'abc'[0..1] end but we can also match a ‹String› against a ‹Regexp›: expect %r{a substring} do 'a string with a substring' end (Note the use of ‹%r{…}› to avoid warnings that will be generated when Ruby parses ‹expect /…/›.) § Modules Checking that the result includes a certain module is done by expecting the ‹Module›. expect Enumerable do [] end This, due to the nature of Ruby, of course also works for classes (as they are also modules): expect String do 'a string' end This doesn’t hinder us from expecting the actual ‹Module› itself: expect Enumerable do Enumerable end or the ‹Class›: expect String do String end for obvious reasons. As you may have figured out yourself, this is accomplished by first trying ‹#==› and, if it returns ‹false›, then trying ‹#===› on the expected ‹Module›. This is also true of ‹Ranges› and ‹Regexps›. § Booleans Truthfulness is expected with ‹true› and ‹false›: expect true do 1 end expect false do nil end Results equaling ‹true› or ‹false› are slightly different: expect TrueClass do true end expect FalseClass do false end The rationale for this is that you should only care if the result of a computation evaluates to a value that Ruby considers to be either true or false, not the exact literals ‹true› or ‹false›. § IO Expecting output on an IO object is also common: expect output("abc\ndef\n") do |io| io.puts 'abc', 'def' end This can be used to capture the output of a formatter that takes an output object as a parameter. § Warnings Expecting warnings from code isn’t very common, but should be done: expect warning('this is your final one!') do warn 'this is your final one!' end expect warning('this is your final one!') do warn '%s:%d: warning: this is your final one!' % [__FILE__, __LINE__] end ‹$VERBOSE› is set to ‹true› during the execution of the block, so you don’t need to do so yourself. If you have other code that depends on the value of $VERBOSE, that can be done with ‹#with_verbose› expect nil do with_verbose nil do $VERBOSE end end § Errors You should always be expecting errors from – and in, but that’s a different story – your code: expect ArgumentError do Integer('1 + 1') end Often, not only the type of the error, but its description, is important to check: expect StandardError.new('message') do raise StandardError.new('message') end As with ‹Strings›, ‹Regexps› can be used to check the error description: expect StandardError.new(/mess/) do raise StandardError.new('message') end § Queries Through Symbols Symbols are generally matched against symbols, but as a special case, symbols ending with ‹?› are seen as expectations on the result of query methods on the result of the block, given that the method is of zero arity and that the result isn’t a Symbol itself. Simply expect a symbol ending with ‹?›: expect :empty? do [] end To expect it’s negation, expect the same symbol beginning with ‹not_›: expect :not_nil? do [1, 2, 3] end This is the same as expect true do [].empty? end and expect false do [1, 2, 3].empty? end but provides much clearer failure messages. It also makes the expectation’s intent a lot clearer. § Queries By Proxy There’s also a way to make the expectations of query methods explicit by invoking methods on the result of the block. For example, to check that the even elements of the Array ‹[1, 2, 3]› include ‹1› you could write expect result.to.include? 1 do [1, 2, 3].reject{ |e| e.even? } end You could likewise check that the result doesn’t include 2: expect result.not.to.include? 2 do [1, 2, 3].reject{ |e| e.even? } end This is the same as (and executes a little bit slower than) writing expect false do [1, 2, 3].reject{ |e| e.even? }.include? 2 end but provides much clearer failure messages. Given that these two last examples would fail, you’d get a message saying “[1, 2, 3]#include?(2)” instead of the terser “true≠false”. It also clearly separates the actual expectation from the set-up. The keyword for this kind of expectations is ‹result›. This may be followed by any of the methods • ‹#not› • ‹#to› • ‹#be› • ‹#have› or any other method you will want to call on the result. The methods ‹#to›, ‹#be›, and ‹#have› do nothing except improve readability. The ‹#not› method inverts the expectation. § Literal Literals If you need to literally check against any of the types of objects otherwise treated specially, that is, any instances of • ‹Module› • ‹Range› • ‹Regexp› • ‹Exception› • ‹Symbol›, given that it ends with ‹?› you can do so by wrapping it in ‹literal(…)›: expect literal(:empty?) do :empty? end You almost never need to do this, as, for all but symbols, instances will match accordingly as well. § Expectations on Behavior We expect our objects to be on their best behavior. Lookout allows you to make sure that they are. Reception expectations let us verify that a method is called in the way that we expect it to be: expect mock.to.receive.to_str(without_arguments){ '123' } do |o| o.to_str end Here, ‹#mock› creates a mock object, an object that doesn’t respond to anything unless you tell it to. We tell it to expect to receive a call to ‹#to_str› without arguments and have ‹#to_str› return ‹'123'› when called. The mock object is then passed in to the block so that the expectations placed upon it can be fulfilled. Sometimes we only want to make sure that a method is called in the way that we expect it to be, but we don’t care if any other methods are called on the object. A stub object, created with ‹#stub›, expects any method and returns a stub object that, again, expects any method, and thus fits the bill. expect stub.to.receive.to_str(without_arguments){ '123' } do |o| o.to_str if o.convertable? end You don’t have to use a mock object to verify that a method is called: expect Object.to.receive.name do Object.name end As you have figured out by now, the expected method call is set up by calling ‹#receive› after ‹#to›. ‹#Receive› is followed by a call to the method to expect with any expected arguments. The body of the expected method can be given as the block to the method. Finally, an expected invocation count may follow the method. Let’s look at this formal specification in more detail. The expected method arguments may be given in a variety of ways. Let’s introduce them by giving some examples: expect mock.to.receive.a do |m| m.a end Here, the method ‹#a› must be called with any number of arguments. It may be called any number of times, but it must be called at least once. If a method must receive exactly one argument, you can use ‹Object›, as the same matching rules apply for arguments as they do for state expectations: expect mock.to.receive.a(Object) do |m| m.a 0 end If a method must receive a specific argument, you can use that argument: expect mock.to.receive.a(1..2) do |m| m.a 1 end Again, the same matching rules apply for arguments as they do for state expectations, so the previous example expects a call to ‹#a› with 1, 2, or the Range 1..2 as an argument on ‹m›. If a method must be invoked without any arguments you can use ‹without_arguments›: expect mock.to.receive.a(without_arguments) do |m| m.a end You can of course use both ‹Object› and actual arguments: expect mock.to.receive.a(Object, 2, Object) do |m| m.a nil, 2, '3' end The body of the expected method may be given as the block. Here, calling ‹#a› on ‹m› will give the result ‹1›: expect mock.to.receive.a{ 1 } do |m| raise 'not 1' unless m.a == 1 end If no body has been given, the result will be a stub object. To take a block, grab a block parameter and ‹#call› it: expect mock.to.receive.a{ |&b| b.call(1) } do |m| j = 0 m.a{ |i| j = i } raise 'not 1' unless j == 1 end To simulate an ‹#each›-like method, ‹#call› the block several times. Invocation count expectations can be set if the default expectation of “at least once” isn’t good enough. The following expectations are possible • ‹#at_most_once› • ‹#once› • ‹#at_least_once› • ‹#twice› And, for a given ‹N›, • ‹#at_most(N)› • ‹#exactly(N)› • ‹#at_least(N)› § Utilities: Stubs Method stubs are another useful thing to have in a unit testing framework. Sometimes you need to override a method that does something a test shouldn’t do, like access and alter bank accounts. We can override – stub out – a method by using the ‹#stub› method. Let’s assume that we have an ‹Account› class that has two methods, ‹#slips› and ‹#total›. ‹#Slips› retrieves the bank slips that keep track of your deposits to the ‹Account› from a database. ‹#Total› sums the ‹#slips›. In the following test we want to make sure that ‹#total› does what it should do without accessing the database. We therefore stub out ‹#slips› and make it return something that we can easily control. expect 6 do |m| stub(Class.new{ def slips raise 'database not available' end def total slips.reduce(0){ |m, n| m.to_i + n.to_i } end }.new, :slips => [1, 2, 3]){ |account| account.total } end To make it easy to create objects with a set of stubbed methods there’s also a convenience method: expect 3 do s = stub(:a => 1, :b => 2) s.a + s.b end This short-hand notation can also be used for the expected value: expect stub(:a => 1, :b => 2).to.receive.a do |o| o.a + o.b end and also works for mock objects: expect mock(:a => 2, :b => 2).to.receive.a do |o| o.a + o.b end Blocks are also allowed when defining stub methods: expect 3 do s = stub(:a => proc{ |a, b| a + b }) s.a(1, 2) end If need be, we can stub out a specific method on an object: expect 'def' do stub('abc', :to_str => 'def'){ |a| a.to_str } end The stub is active during the execution of the block. § Overriding Constants Sometimes you need to override the value of a constant during the execution of some code. Use ‹#with_const› to do just that: expect 'hello' do with_const 'A::B::C', 'hello' do A::B::C end end Here, the constant ‹A::B::C› is set to ‹'hello'› during the execution of the block. None of the constants ‹A›, ‹B›, and ‹C› need to exist for this to work. If a constant doesn’t exist it’s created and set to a new, empty, ‹Module›. The value of ‹A::B::C›, if any, is restored after the block returns and any constants that didn’t previously exist are removed. § Overriding Environment Variables Another thing you often need to control in your tests is the value of environment variables. Depending on such global values is, of course, not a good practice, but is often unavoidable when working with external libraries. ‹#With_env› allows you to override the value of environment variables during the execution of a block by giving it a ‹Hash› of key/value pairs where the key is the name of the environment variable and the value is the value that it should have during the execution of that block: expect 'hello' do with_env 'INTRO' => 'hello' do ENV['INTRO'] end end Any overridden values are restored and any keys that weren’t previously a part of the environment are removed when the block returns. § Overriding Globals You may also want to override the value of a global temporarily: expect 'hello' do with_global :$stdout, StringIO.new do print 'hello' $stdout.string end end You thus provide the name of the global and a value that it should take during the execution of a block of code. The block gets passed the overridden value, should you need it: expect true do with_global :$stdout, StringIO.new do |overridden| $stdout != overridden end end § Integration Lookout can be used from Rake¹. Simply install Lookout-Rake²: % gem install lookout-rake and add the following code to your Rakefile require 'lookout-rake-3.0' Lookout::Rake::Tasks::Test.new Make sure to read up on using Lookout-Rake for further benefits and customization. ¹ Read more about Rake at http://rake.rubyforge.org/ ² Get information on Lookout-Rake at http://disu.se/software/lookout-rake/ § API Lookout comes with an API¹ that let’s you create things such as new expected values, difference reports for your types, and so on. ¹ See http://disu.se/software/lookout/api/ § Interface Design The default output of Lookout can Spartanly be described as Spartan. If no errors or failures occur, no output is generated. This is unconventional, as unit testing frameworks tend to dump a lot of information on the user, concerning things such as progress, test count summaries, and flamboyantly colored text telling you that your tests passed. None of this output is needed. Your tests should run fast enough to not require progress reports. The lack of output provides you with the same amount of information as reporting success. Test count summaries are only useful if you’re worried that your tests aren’t being run, but if you worry about that, then providing such output doesn’t really help. Testing your tests requires something beyond reporting some arbitrary count that you would have to verify by hand anyway. When errors or failures do occur, however, the relevant information is output in a format that can easily be parsed by an ‹'errorformat'› for Vim or with {Compilation Mode}¹ for Emacs². Diffs are generated for Strings, Arrays, Hashes, and I/O. ¹ Read up on Compilation mode for Emacs at http://www.emacswiki.org/emacs/CompilationMode ² Visit The GNU Foundation’s Emacs’ software page at http://www.gnu.org/software/emacs/ § External Design Let’s now look at some of the points made in the introduction in greater detail. Lookout only allows you to set one expectation per test. If you’re testing behavior with a reception expectation, then only one method-invocation expectation can be set. If you’re testing state, then only one result can be verified. It may seem like this would cause unnecessary duplication between tests. While this is certainly a possibility, when you actually begin to try to avoid such duplication you find that you often do so by improving your interfaces. This kind of restriction tends to encourage the use of value objects, which are easy to test, and more focused objects, which require simpler tests, as they have less behavior to test, per method. By keeping your interfaces focused you’re also keeping your tests focused. Keeping your tests focused improves, in itself, test isolation, but let’s look at something that hinders it: setup and tear-down methods. Most unit testing frameworks encourage test fragmentation by providing setup and tear-down methods. Setup methods create objects and, perhaps, just their behavior for a set of tests. This means that you have to look in two places to figure out what’s being done in a test. This may work fine for few methods with simple set-ups, but makes things complicated when the number of tests increases and the set-up is complex. Often, each test further adjusts the previously set-up object before performing any verifications, further complicating the process of figuring out what state an object has in a given test. Tear-down methods clean up after tests, perhaps by removing records from a database or deleting files from the file-system. The duplication that setup methods and tear-down methods hope to remove is better avoided by improving your interfaces. This can be done by providing better set-up methods for your objects and using idioms such as {Resource Acquisition Is Initialization}¹ for guaranteed clean-up, test or no test. By not using setup and tear-down methods we keep everything pertinent to a test in the test itself, thus improving test isolation. (You also won’t {slow down your tests}² by keeping unnecessary state.) Most unit test frameworks also allow you to create arbitrary test helper methods. Lookout doesn’t. The same rationale as that that has been crystallized in the preceding paragraphs applies. If you need helpers you’re interface isn’t good enough. It really is as simple as that. To clarify: there’s nothing inherently wrong with test helper methods, but they should be general enough that they reside in their own library. The support for mocks in Lookout is provided through a set of test helper methods that make it easier to create mocks than it would have been without them. Lookout-rack³ is another example of a library providing test helper methods (well, one method, actually) that are very useful in testing web applications that use Rack⁴. A final point at which some unit test frameworks try to fragment tests further is documentation. These frameworks provide ways of describing the whats and hows of what’s being tested, the rationale being that this will provide documentation of both the test and the code being tested. Describing how a stack data structure is meant to work is a common example. A stack is, however, a rather simple data structure, so such a description provides little, if any, additional information that can’t be extracted from the implementation and its tests themselves. The implementation and its tests is, in fact, its own best documentation. Taking the points made in the previous paragraphs into account, we should already have simple, self-describing, interfaces that have easily understood tests associated with them. Rationales for the use of a given data structure or system-design design documentation is better suited in separate documentation focused at describing exactly those issues. ¹ Read the Wikipedia entry for Resource Acquisition Is Initialization at http://en.wikipedia.org/wiki/Resource_Acquisition_Is_Initialization ² Read how 37signals had problems with slow Test::Unit tests at http://37signals.com/svn/posts/2742-the-road-to-faster-tests/ ³ Visit the Lookout-rack home page at http://disu.se/software/lookout-rack/ ⁴ Visit the Rack Rubyforge project page at http://rack.rubyforge.org/ § Internal Design The internal design of Lookout has had a couple of goals. • As few external dependencies as possible • As few internal dependencies as possible • Internal extensibility provides external extensibility • As fast load times as possible • As high a ratio of value objects to mutable objects as possible • Each object must have a simple, obvious name • Use mix-ins, not inheritance for shared behavior • As few responsibilities per object as possible • Optimizing for speed can only be done when you have all the facts § External Dependencies Lookout used to depend on Mocha for mocks and stubs. While benchmarking I noticed that a method in Mocha was taking up more than 300 percent of the runtime. It turned out that Mocha’s method for cleaning up back-traces generated when a mock failed was doing something incredibly stupid: backtrace.reject{ |l| Regexp.new(@lib).match(File.expand_path(l)) } Here ‹@lib› is a ‹String› containing the path to the lib sub-directory in the Mocha installation directory. I reported it, provided a patch five days later, then waited. Nothing happened. {254 days later}¹, according to {Wolfram Alpha}², half of my patch was, apparently – I say “apparently”, as I received no notification – applied. By that time I had replaced the whole mocking-and-stubbing subsystem and dropped the dependency. Many Ruby developers claim that Ruby and its gems are too fast-moving for normal package-managing systems to keep up. This is testament to the fact that this isn’t the case and that the real problem is instead related to sloppy practices. Please note that I don’t want to single out the Mocha library nor its developers. I only want to provide an example where relying on external dependencies can be “considered harmful”. ¹ See the Wolfram Alpha calculation at http://www.wolframalpha.com/input/?i=days+between+march+17%2C+2010+and+november+26%2C+2010 ² Check out the Wolfram Alpha computational knowledge engine at http://www.wolframalpha.com/ § Internal Dependencies Lookout has been designed so as to keep each subsystem independent of any other. The diff subsystem is, for example, completely decoupled from any other part of the system as a whole and could be moved into its own library at a time where that would be of interest to anyone. What’s perhaps more interesting is that the diff subsystem is itself very modular. The data passes through a set of filters that depends on what kind of diff has been requested, each filter yielding modified data as it receives it. If you want to read some rather functional Ruby I can highly recommend looking at the code in the ‹lib/lookout/diff› directory. This lookout on the design of the library also makes it easy to extend Lookout. Lookout-rack was, for example, written in about four hours and about 5 of those 240 minutes were spent on setting up the interface between the two. § Optimizing For Speed The following paragraph is perhaps a bit personal, but might be interesting nonetheless. I’ve always worried about speed. The original Expectations library used ‹extend› a lot to add new behavior to objects. Expectations, for example, used to hold the result of their execution (what we now term “evaluation”) by being extended by a module representing success, failure, or error. For the longest time I used this same method, worrying about the increased performance cost that creating new objects for results would incur. I finally came to a point where I felt that the code was so simple and clean that rewriting this part of the code for a benchmark wouldn’t take more than perhaps ten minutes. Well, ten minutes later I had my results and they confirmed that creating new objects wasn’t harming performance. I was very pleased. § Naming I hate low lines (underscores). I try to avoid them in method names and I always avoid them in file names. Since the current “best practice” in the Ruby community is to put ‹BeginEndStorage› in a file called ‹begin_end_storage.rb›, I only name constants using a single noun. This has had the added benefit that classes seem to have acquired less behavior, as using a single noun doesn’t allow you to tack on additional behavior without questioning if it’s really appropriate to do so, given the rather limited range of interpretation for that noun. It also seems to encourage the creation of value objects, as something named ‹Range› feels a lot more like a value than ‹BeginEndStorage›. (To reach object-oriented-programming Nirvana you must achieve complete value.) § News § 3.0.0 The ‹xml› expectation has been dropped. It wasn’t documented, didn’t suit very many use cases, and can be better implemented by an external library. The ‹arg› argument matcher for mock method arguments has been removed, as it didn’t provide any benefit over using Object. The ‹#yield› and ‹#each› methods on stub and mock methods have been removed. They were slightly weird and their use case can be implemented using block parameters instead. The ‹stub› method inside ‹expect› blocks now stubs out the methods during the execution of a provided block instead of during the execution of the whole except block. When a mock method is called too many times, this is reported immediately, with a full backtrace. This makes it easier to pin down what’s wrong with the code. Query expectations were added. Explicit query expectations were added. Fluent boolean expectations, for example, ‹expect nil.to.be.nil?› have been replaced by query expectations (‹expect :nil? do nil end›) and explicit query expectations (‹expect result.to.be.nil? do nil end›). This was done to discourage creating objects as the expected value and creating objects that change during the course of the test. The ‹literal› expectation was added. Equality (‹#==›) is now checked before “caseity” (‹#===›) for modules, ranges, and regular expressions to match the documentation. § Financing Currently, most of my time is spent at my day job and in my rather busy private life. Please motivate me to spend time on this piece of software by donating some of your money to this project. Yeah, I realize that requesting money to develop software is a bit, well, capitalistic of me. But please realize that I live in a capitalistic society and I need money to have other people give me the things that I need to continue living under the rules of said society. So, if you feel that this piece of software has helped you out enough to warrant a reward, please PayPal a donation to now@disu.se¹. Thanks! Your support won’t go unnoticed! ¹ Send a donation: https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=now%40disu%2ese&item_name=Lookout § Reporting Bugs Please report any bugs that you encounter to the {issue tracker}¹. ¹ See https://github.com/now/lookout/issues § Contributors Contributors to the original expectations codebase are mentioned there. We hope no one on that list feels left out of this list. Please {let us know}¹ if you do. • Nikolai Weibull ¹ Add an issue to the Lookout issue tracker at https://github.com/now/lookout/issues § Licensing Lookout is free software: you may redistribute it and/or modify it under the terms of the {GNU Lesser General Public License, version 3}¹ or later², as published by the {Free Software Foundation}³. ¹ See http://disu.se/licenses/lgpl-3.0/ ² See http://gnu.org/licenses/ ³ See http://fsf.org/

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