Results for i-runtime

Runtions

AgoraUI reactive runtimes

AgoraUI runtimes derived

AI runtime adapters: GenericOpenAIAdapter for OpenAI-compatible API endpoints

AI runtime configuration types: OpenAIProviderSpec and AiRuntimeConfig

Runtime library for asterai - the portable AI compute platform

Runtime support for callcomapi_macros

Runtime, transport, and JSON-RPC contract layer for coclai.

AI runtime contracts: ChatMessage, ChatRequest, and AiProvider trait

A Rust-based agent mesh framework for building local and distributed AI agent systems

Elm-style runtime loop and subscriptions for FrankenTUI.

Javascript runtime for Hai based on QuickJS.

Runtime Unified Flow I/O Operator - A TUI file manager as a unified runtime environment for Ruby/Python/PowerShell scripts and external tools.

To display the image programmatically, - you can start the web application, - save the image and display it again with the tool, - or display it with the jupyter notebook. However, for me, that one step is very troublesome. So I created a tool that allows you to view the image as it is at the console at runtime.

CarthageCache generate a hash key based on the content of your Cartfile.resolved and checks if there is a cache archive (a zip file of your Carthage/Build directory) associated to that hash. If there is one it will download it and install it in your project avoiding the need to run carthage bootstrap. ----------------------Thanks Mr.Blas but now we are facing dependency conflict with Fastlane 2.144-------------------- What I want to solve: Dependency conflict with Fastlane 2.144 What I did: 1. Changed name of this gem to "carthage_cache_res" 2. Fixed runtime dependencies: aws-sdk < 3, commander = 4.3.8 3. Changed system dependency versions: ruby > 2.6, xcode 11.x

Baby mix-in for Test::Unit which allows one to specify manual test cases with steps. Manual test cases are a necessary evil in this world and something that I feel is missing sorely (but not sadly) is the ability to keep your manual test cases coupled with your automated test cases. Manual tests playing with automated tests. Of course, the goal of Moonit is to not interfere with automated tests so it is necessary to tell ruby you want to execute your manual tests alongside your automated tests at runtime.

Backtrace (Stack traces) are essential information for debugging our applications. However, they only tell us what the program did, but don't tell us what it had (the arguments, local variables...etc.). So it's very often that we'd need to visit each call site, rerun the program, and try to print out the variables. To me, It's like the Google map's navigation only tells us the name of the roads, but not showing us the map along with them. So I hope to solve this problem by adding some additional runtime info to the backtrace, and save us the work to manually look them up.

winloop is a Ruby Fiber::Scheduler built on Win32 I/O Completion Ports. It makes ordinary socket I/O, sleeps, timeouts and Mutex/Queue/Thread#join run cooperatively on a single thread — the async-runtime story that has always been weak on Windows, done the way libuv/mio/wepoll do it: readiness over an IOCP via \Device\Afd polling, with recv/send driven by the completion port. Requires a native Windows MSVC (mswin) build of Ruby.

DRbService is a framework we use at LAIKA for creating authenticated SSL-encrypted DRb services that provide access to privileged operations without the need to give shell access to everyone. There are a few examples in the `examples/` directory of the gem, which are stripped-down versions of the services we actually use. The current implementation is kind of a hack, but I intend to eventually finish a DRb protocol that does the same thing in a more elegant, less-hackish way, as well as a tool that can generate a new service along with support files for one of several different runtime environments. If you're curious, see the `drb/authsslprotocol.rb` file for the protocol. This will replace the current method-hiding code in `drbservice.rb`, but existing services should be able to switch over quite easily. Or that's the intention.

Transaction::Simple provides a generic way to add active transaction support to objects. The transaction methods added by this module will work with most objects, excluding those that cannot be Marshal-ed (bindings, procedure objects, IO instances, or singleton objects). The transactions supported by Transaction::Simple are not associated with any sort of data store. They are "live" transactions occurring in memory on the object itself. This is to allow "test" changes to be made to an object before making the changes permanent. Transaction::Simple can handle an "infinite" number of transaction levels (limited only by memory). If I open two transactions, commit the second, but abort the first, the object will revert to the original version. Transaction::Simple supports "named" transactions, so that multiple levels of transactions can be committed, aborted, or rewound by referring to the appropriate name of the transaction. Names may be any object except nil. Transaction groups are also supported. A transaction group is an object wrapper that manages a group of objects as if they were a single object for the purpose of transaction management. All transactions for this group of objects should be performed against the transaction group object, not against individual objects in the group. Version 1.4.0 of Transaction::Simple adds a new post-rewind hook so that complex graph objects of the type in tests/tc_broken_graph.rb can correct themselves. Version 1.4.0.1 just fixes a simple bug with #transaction method handling during the deprecation warning. Version 1.4.0.2 is a small update for people who use Transaction::Simple in bundler (adding lib/transaction-simple.rb) and other scenarios where having Hoe as a runtime dependency (a bug fixed in Hoe several years ago, but not visible in Transaction::Simple because it has not needed a re-release). All of the files internally have also been marked as UTF-8, ensuring full Ruby 1.9 compatibility.

Inventory Inventory keeps track of the contents of your Ruby¹ projects. Such an inventory can be used to load the project, create gem specifications and gems, run unit tests, compile extensions, and verify that the project’s content is what you think it is. ¹ See http://ruby-lang.org/ § Usage Let’s begin by discussing the project structure that Inventory expects you to use. It’s pretty much exactly the same as the standard Ruby project structure¹: ├── README ├── Rakefile ├── lib │ ├── foo-1.0 │ │ ├── bar.rb │ │ └── version.rb │ └── foo-1.0.rb └── test └── unit ├── foo-1.0 │ ├── bar.rb │ └── version.rb └── foo-1.0.rb Here you see a simplified version of a project called “Foo”’s project structure. The only real difference from the standard is that the main entry point into the library is named “foo-1.0.rb” instead of “foo.rb” and that the root sub-directory of “lib” is similarly named “foo-1.0” instead of “foo”. The difference is the inclusion of the API version. This must be the major version of the project followed by a constant “.0”. The reason for this is that it allows concurrent installations of different major versions of the project and means that the wrong version will never accidentally be loaded with require. There’s a bigger difference in the content of the files. ‹Lib/foo-1.0/version.rb› will contain our inventory instead of a String: require 'inventory-1.0' class Foo Version = Foo.new(1, 4, 0){ authors{ author 'A. U. Thor', 'a.u.thor@example.org' } homepage 'http://example.org/' licenses{ license 'LGPLv3+', 'GNU Lesser General Public License, version 3 or later', 'http://www.gnu.org/licenses/' } def dependencies super + Dependencies.new{ development 'baz', 1, 3, 0 runtime 'goo', 2, 0, 0 optional 'roo-loo', 3, 0, 0, :feature =&gt; 'roo-loo' } end def package_libs %w[bar.rb] end } end We’re introducing quite a few concepts at once, and we’ll look into each in greater detail, but we begin by setting the ‹Version› constant to a new instance of an Inventory with major, minor, and patch version atoms 1, 4, and 0. Then we add a couple of dependencies and list the library files that are included in this project. The version numbers shouldn’t come as a surprise. These track the version of the API that we’re shipping using {semantic versioning}². They also allow the Inventory#to_s method to act as if you’d defined Version as ‹'1.4.0'›. Next follows information about the authors of the project, the project’s homepage, and the project’s licenses. Each author has a name and an email address. The homepage is simply a string URL. Licenses have an abbreviation, a name, and a URL where the license text can be found. We then extend the definition of ‹dependencies› by adding another set of dependencies to ‹super›. ‹Super› includes a dependency on the version of the inventory project that’s being used with this project, so you’ll never have to list that yourself. The other three dependencies are all of different kinds: development, runtime, and optional. A development dependency is one that’s required while developing the project, for example, a unit-testing framework, a documentation generator, and so on. Runtime dependencies are requirements of the project to be able to run, both during development and when installed. Finally, optional dependencies are runtime dependencies that may or may not be required during execution. The difference between runtime and optional is that the inventory won’t try to automatically load an optional dependency, instead leaving that up to you to do when and if it becomes necessary. By that logic, runtime dependencies will be automatically loaded, which is a good reason for having dependency information available at runtime. The version numbers of dependencies also use semantic versioning, but note that the patch atom is ignored unless the major atom is 0. You should always only depend on the major and minor atoms. As mentioned, runtime dependencies will be automatically loaded and the feature they try to load is based on the name of the dependency with a “-X.0” tacked on the end, where ‘X’ is the major version of the dependency. Sometimes, this isn’t correct, in which case the :feature option may be given to specify the name of the feature. You may also override other parts of a dependency by passing in a block to the dependency, much like we’re doing for inventories. The rest of an inventory will list the various files included in the project. This project only consists of one additional file to those that an inventory automatically include (Rakefile, README, the main entry point, and the version.rb file that defines the inventory itself), namely the library file ‹bar.rb›. Library files will be loaded automatically when the main entry point file loads the inventory. Library files that shouldn’t be loaded may be listed under a different heading, namely “additional_libs”. Both these sets of files will be used to generate a list of unit test files automatically, so each library file will have a corresponding unit test file in the inventory. We’ll discuss the different headings of an inventory in more detail later on. Now that we’ve written our inventory, let’s set it up so that it’s content gets loaded when our main entry point gets loaded. We add the following piece of code to ‹lib/foo-1.0.rb›: module Foo load File.expand_path('../foo-1.0/version.rb', __FILE__) Version.load end That’s all there’s to it. The inventory can also be used to great effect from a Rakefile using a separate project called Inventory-Rake³. Using it’ll give us tasks for cleaning up our project, compiling extensions, installing dependencies, installing and uninstalling the project itself, and creating and pushing distribution files to distribution points. require 'inventory-rake-1.0' load File.expand_path('../lib/foo-1.0/version.rb', __FILE__) Inventory::Rake::Tasks.define Foo::Version Inventory::Rake::Tasks.unless_installing_dependencies do require 'lookout-rake-3.0' Lookout::Rake::Tasks::Test.new end It’s ‹Inventory::Rake::Tasks.define› that does the heavy lifting. It takes our inventory and sets up the tasks mentioned above. As we want to be able to use our Rakefile to install our dependencies for us, the rest of the Rakefile is inside the conditional #unless_installing_dependencies, which, as the name certainly implies, executes its block unless the task being run is the one that installs our dependencies. This becomes relevant when we set up Travis⁴ integration next. The only conditional set-up we do in our Rakefile is creating our test task via Lookout-Rake⁵, which also uses our inventory to find the unit tests to run when executed. Travis integration is straightforward. Simply put before_script: - gem install inventory-rake -v '~&gt; VERSION' --no-rdoc --no-ri - rake gem:deps:install in the project’s ‹.travis.yml› file, replacing ‹VERSION› with the version of Inventory-Rake that you require. This’ll make sure that Travis installs all development, runtime, and optional dependencies that you’ve listed in your inventory before running any tests. You might also need to put env: - RUBYOPT=rubygems in your ‹.travis.yml› file, depending on how things are set up. ¹ Ruby project structure: http://guides.rubygems.org/make-your-own-gem/ ² Semantic versioning: http://semver.org/ ³ Inventory-Rake: http://disu.se/software/inventory-rake-1.0/ ⁴ Travis: http://travis-ci.org/ ⁵ Lookout-Rake: http://disu.se/software/lookout-rake-3.0/ § API If the guide above doesn’t provide you with all the answers you seek, you may refer to the API¹ for more answers. ¹ See http://disu.se/software/inventory-1.0/api/Inventory/ § 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&amp;business=now@disu.se&amp;item_name=Inventory § Reporting Bugs Please report any bugs that you encounter to the {issue tracker}¹. ¹ See https://github.com/now/inventory/issues § Authors Nikolai Weibull wrote the code, the tests, the documentation, and this README. § Licensing Inventory 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/

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/

Inventory-Rake Inventory-Rake provides Rake¹ tasks for your Inventory². This includes tasks for cleaning up our project, compiling extensions, installing dependencies, installing and uninstalling the project itself, and creating and pushing distribution files to distribution points. ¹ See http://rake.rubyforge.org/ ² See http://disu.se/software/inventory-1.0/ § Installation Install Inventory-Rake with % gem install inventory-rake § Usage Include the following code in your ‹Rakefile›, where ‹Package› is the top-level module of your project: require 'inventory-rake-3.0' load File.expand_path('../lib/package/version.rb', __FILE__) Inventory::Rake::Tasks.define Package::Version Inventory::Rake::Tasks.unless_installing_dependencies do # Any additional tasks that your project’s dependencies provide end ‹Inventory::Rake::Tasks.define› does the heavy lifting. It takes our inventory and sets up the tasks mentioned above. We also do some additional customization of the gem specification. As we want to be able to use our Rakefile to install our dependencies for us, the rest of the Rakefile is inside the conditional #unless_installing_dependencies, which, as the name certainly implies, executes its block unless the task being run is the one that installs our dependencies. This becomes relevant if we want to, for example, set up Travis¹ integration. To do so, simply add before_script: - gem install inventory-rake -v '~&gt; VERSION' --no-rdoc --no-ri - rake gem:deps:install to your ‹.travis.yml› file. This’ll make sure that Travis installs all development, runtime, and optional dependencies that you’ve listed in your inventory before running any tests. There’s more information in the {API documentation}² that you’ll likely want to read up on if anything is unclear. ¹ See http://travis-ci.org/ ² See http://disu.se/software/inventory-rake-1.0/api/Inventory/Rake/ § Tasks The tasks that are created if you use Inventory-Rake are: = check. = Check that the package meets its expectations. = mostlyclean. = Delete targets built by rake that are ofter rebuilt. = clean. = Delete targets built by rake; depends on mostlyclean. = distclean. = Delete all files not meant for distribution; depends on clean. = compile. = Compile all extensions; depends on each compile:name. = compile:name. = Compile extension /name/; depends on lib/path/so file. = lib/path/so. = Installed dynamic library of extension /name/ inside inventory path; depends on ext/name/so. = ext/name/so. = Dynamic library of extension /name/; depends on ext/name/Makefile and the source files of the extension. = ext/name/Makefile. = Makefile for extension /name/; depends on inventory path, ext/name/extconf.rb file, and ext/name/depend file. Will be created by extconf.rb, which may take options from environment variable name#upcase_EXTCONF_OPTIONS or ‹EXTCONF_OPTIONS› if defined. = clean:name. = Clean files built for extension /name/; depended upon by clean. = spec. = Create specifications; depends on gem:spec. = gem:spec. = Create gem specification; depends on gemspec. = gemspec (file). = Gem specification file; depends on Rakefile, README, and inventory path. = dist. = Create files for distribution; depends on gem:dist. = gem:dist. = Create gem for distribution; depends on inventory:check and gem file. = inventory:check. = Check that the inventory is correct by looking for files not listed in the inventory that match the pattern and for files listed in the inventory that don’t exist; depends on distclean. = gem (file). = Gem file; depends on files included in gem. = dist:check. = Check files before distribution; depends on dist and gem:dist:check. = gem:dist:check. = Check gem before distribution; depends on gem:dist. = deps:install. = Install dependencies on the local system; depends on gem:deps:install. = gem:deps:install. = Install dependencies in ruby gem directory. = deps:install:user. = Install dependencies for the current user; depends on gem:deps:install:user. = gem:deps:install:user. = Install dependencies in the user gem directory. = install. = Install distribution files on the local system; depends on gem:install. = gem:install. = Install gem in ruby gem directory; depends on gem:dist. = install:user. = Install distribution files for the current user; depends on gem:install:user. = gem:install:user. = Install gem in the user gem directory. = uninstall. = Delete all files installed on the local system. = gem:uninstall. = Uninstall gem from ruby gem directory. = uninstall:user. = Delete all files installed for current user. = gem:uninstall:user. = Uninstall gem from ruby gem directory. = push. = Push distribution files to distribution hubs. = gem:push. = Push gem to rubygems.org. § 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&amp;business=now@disu.se&amp;item_name=Inventory-Rake § Reporting Bugs Please report any bugs that you encounter to the {issue tracker}¹. ¹ See https://github.com/now/inventory-rake/issues § Authors Nikolai Weibull wrote the code, the tests, the manual pages, and this README. § Licensing Inventory-Rake 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/

# foundationallib <h2>Finally, a cross-platform, portable, well-designed, secure, robust, maximally-efficient C foundational library &mdash; Making Engineering And Computing Fast, Secure, Responsive And Easy.</h2> <br> <h2><i>Library Uses - What It Does, What It Is, And What It Is A Solution For</i></h2> <ul class="features-list"> <li><strong>Enables better Engineering Solutions and Security broadly and foundationally where Software Creation or Development or Script Creation is concerned - whether this be on a local, business, governmental or international basis, and makes things easier - and Computing in General.</strong> Don't Reinvent the Wheel - Use Good Wheels - Be Safe And Secure.</li> <br> <li><strong>Enables a free-flowing dynamic computer usage that you need, deserve and should have, simply because you have a computer. With full speed and with robustness. You deserve to be able to use your computer wholly and fully, with proper and fast operations.</strong></li> <br><li><strong>Enables flexibility and power - makes C accessible to the masses (and faster and more secure) with easy usage and strives to bring people up, not degrade the character or actions of people.</strong> This is a fundamental and unequivocal philosophy difference between this library and many subsections of Software Engineering and the mainstream engineering establishment. For instance, in Python, you cannot read a file easily &ndash; you have to read it line-by-line or open a file, read the lines, then close it. With this library, you can efficiently read 10,000 files in one function call. This library gives power. Any common operation, there ought to be a powerful function for.<br><br>We should not bitch around with assembly when we don't want to; we should also have full speed. Some old "solutions" deliver neither, then culturally degrade programmers because their tools are bad - actually, it just degrades programmers, and gives them bad tools. COBOL is an example ...<br><br>Human technology is about empowerment &ndash; people must fight for it to be empowerment, we don't have time to have AI systems kill us because we want to have bad tools and be weak. We must fight.</li> </ul> <br> <ul> <h2><i>About Foundationallib</i></h2> <li>→<strong>Cross platform</strong> - works perfectly in embedded, server, desktop, and all platforms - tested for Windows and UNIX - 64-bit and 32-bit, includes a 3-aspect test suite, with more to come.</li> <li>→<strong>Bug free. Reliable. Dependable. Secure. Tested well.</strong></li> <li>→<strong>Zero Overhead</strong> - Only 1 byte due to the power of the error handling, can be configured will full power.</li> <li>→<strong>Static Inline Functions if you want them</strong> (optional) - Eliminating function call overhead to 0 if you wish, for improved performance.</li> <li>→<strong>Custom allocators</strong> - if you want it.</li> <li>→<strong>Custom error handling</strong> - if you want it.</li> <li>→<strong>Safe functions</strong> warn the programmer about NULL values and unused return values. Can be configured to not compile if not Secure. Optional null-check macros in every library function. Does not use any of <code>"gets", "fgets", "strcpy", "strcat", "sprintf", "vsprintf", "scanf", "fscanf", "system", "chown", "chmod", "chgrp", "alloca", "execl", "execle", "execlp", "execv", "execve", "execvp", "bcopy", "bzero"</code>. You can configure it to never use any unsafe functions.</li> <li>→<strong>Portable</strong> - works on all platforms, using platform specific features (using #ifdefs) to make functions better and faster.</li> <li>→<strong>Multithreading support</strong> (optional), with list_comprehension_multithreaded (accepts any number of threads, works in parallel using portable C11 threads)</li> <li>→<strong>Networking support</strong> (optional), using libcurl - making it extremely easy to download websites and arrays of websites - features other languages do not have.</li> <li>→Very good and thorough <strong>Error Handling</strong> and <strong>allocation overflow</strong> checking (good for <strong>Security and Robustness</strong>) in the functions. Allows the programmer to dynamically choose to catch all errors in the functions with a handler (default or custom), or to ignore them. No need to ALWAYS say "if (.....) if you don't want to. Can be changed at runtime.</li> <li>→<strong>Public Domain</strong> so you make the code how you want. (No need to "propitiate" to some "god" of some library).</li> <li>→<strong>Minimal abstractions or indirection of any kind or needless slow things that complicate things</strong> - macros, namespace collision, typedefs, structs, object-orientation messes, slow compilation times, bloat, etc., etc.</li> <li>→<strong>No namespace pollution</strong> - you can generate your <span style=font-style:normal;><b>own version</b></span> with any prefix you like!</li> <li>→<strong>Relies <span style=font-style:normal;>minimally</span> on C libraries - it can be fully decoupled from LIB C and can be statically linked.</strong></li> <li>→<span style=font-style:normal;><b>Very small</b></span> - 13K Lines of Code (including Doxygen comments and following of Best Practices)</li> <li>→<strong>No Linkage Issues or dependency hell</strong></li> <li>→<strong>Thorough and clear documentation</strong>, with examples of usage.</li> <li>→<strong>No licensing restrictions whatsoever - use it for your engineering project, your startup, your Fortune 500 company, your personal project, your throw-away script, your government.</strong></li> <li>→<strong>Makes C like Python or Perl or Ruby in many ways - or more easy</strong></li> <li>→<strong>Easy Straightforward Transpilation Support</strong> - to make current code, much faster - all without any bloat (See transpile_slow_scripting_into_c.rb). <li><h4>In many cases, there is now a direct mapping of functions from other languages into optimized C. See the example script in this repository. This makes optimizing your Python / Perl / Ruby / PHP etc. script very easy, either manually or through the use of AI.</h4></li> </ul> </p> </div> <div class=pane style='border: 0;border-right: 1px dotted rgb(200, 200, 200); background-color: rgb(255, 255, 190);'> <div class="library-details"><h2 style=color:green;><i>Foundationallib Features</i></h2> <p class=feature> <strong>Functional Programming Features</strong> - <code>map, reduce, filter,</code> List Comprehensions in C and much more!</p> <p class=feature><strong>Expands C's Primitives for easy manipulation of data types</strong> such as Arrays, Strings, <code>Dict</code>, <code>Set</code>, <code>FrozenDict</code>, <code>FrozenSet</code> - <strong>and enables easy manipulation, modification, alteration, comparison, sorting, counting, IO (printing) and duplication of these at a very comfortable level</strong> - something very, very rare in C or C++, <i>all without any overhead.</i></p> <p class=feature><strong>More comfortable IO</strong> - read and write entire files with ease, and convert complex types into strings or print them on the screen with ease. </p> <p class=feature><strong>A powerful general purpose Foundational Library</strong> - <i>which has anything and everything you need</i> - from <code>replace_all()</code> to <code>replace_memory()</code> to <code>find_last_of()</code> to to <code>list_comprehension()</code> to <code>shellescape()</code> to <code>read_file_into_string()</code> to <code>string_to_json()</code> to <code>string_to_uppercase()</code> to <code>to_title_case()</code> to <code>read_file_into_array()</code> to <code>read_files_into_array()</code> to <code>map()</code> to <code>reduce()</code> to <code>filter()</code> to <code>list_comprehension_multithreaded()</code> to <code>frozen_dict_new_instance()</code> to <code>backticks()</code> - everything you would want to make quick and optimally efficient C programs, this has it.</p> <div style='height: 1px; border: 0;border-bottom: 1px dashed rgb(200, 200, 200);'></div> <p class=performance><span>Helps to make programs hundreds of times faster than other languages with similar ease of creation.</span> <hr> <p class=feature><strong>Easily take advantage of CPU cores with list_comprehension_multithreaded()</strong>.<br><br>You can specify the number of threads, the transform and the filter functions, and this will transform your data - all in parallel. Don't have a multithreaded environment? Then disable it (set the flag).</p> <hr> <h3>You don't want to be reinventing the wheel and hoping that your memory allocation is secure enough - and then failing. <strong>Security Is Paramount.</strong></h3> <h3>You don't want to be waiting <span style='color:rgb(240, 0, 0);'>a day</span> for an operation to complete when it could take <span style='color:rgb(30, 30, 255);'>less than an hour</span>.</h3> <br><p>This library is founded on very strong and unequivocal goals and philosophy. In fact, I have written many articles about the foundation of this library and more relevantly the broader context. See the Articles folder - for some of the foundation of this library.</p> <br><p>This library is an ideal and a dream - not just a Software Library. As such, I would highly suggest that you support me in this mission. Even if it's different from the status quo. Are you a Rust or Zig fan? Then make a Rust or Zig version of this ideal. Let's go. Give me an email.</p> </div> </div> <br> No Copyright - Public Domain - 2023, Gregory Cohen <gregorycohennew@gmail.com> DONATION REQUEST: If this free software has helped you and you find it valuable, please consider making a donation to support the ongoing development and maintenance of this project. Your contribution helps ensure the availability of this library to the community and encourages further improvements. Donations can be made at: https://www.paypal.com/paypalme/cfoundationallib Note: The best way to contact me is through email, not social media. Please feel very free to email me if you want to express feedback, suggest an improvement, desire to collaborate on this free and open source project, want to support me, or want to create something great. Complacency and obstructionism and whining are not tolerated. I desire to make this library the best theoretically possible, so please, let us connect. <h1>This code is in the public domain, fully. You can do whatever you want with it. See docs.html for API reference.  </h1> <h1>Here's some examples of some things you can do easily with Foundationallib.<br><br> <h3>Use it for scripting purposes...</h3> </h1>  <h1>Take control of the Web - in C.<br><br></h1> 

No description provided.

No description provided.

No description provided.

No description provided.

No description provided.

No description provided.

No description provided.

No description provided.

No description provided.

No description provided.

No description provided.

No description provided.

No description provided.

No description provided.