minimalistic-assert ===
The assert module from Node.js, for the browser.
correct invalid SPDX expressions
Parses, serializes, and manipulates MIME types, according to the WHATWG MIME Sniffing Standard
Synchronous validation of a path existing either as a file or as a directory.
assert with status codes
A robust, ES3 compatible, "has own property" predicate.
Is this value a JS ArrayBuffer?
Extra assertions on top of node's assert module
BDD/TDD assertion library for node.js and the browser. Test framework agnostic.
Is this value a JS SharedArrayBuffer?
`Object.getOwnPropertyDescriptor`, but accounts for IE's broken implementation.
Is this specifier a node.js core module?
Is this value a JS Typed Array? This module works cross-realm/iframe, does not depend on `instanceof` or mutable properties, and despite ES6 Symbol.toStringTag.
Which kind of boxed JS primitive is this?
What is the type of this builtin JS value?
`Object.defineProperty`, but not IE 8's broken one.
A helper to optimistically set Symbol.toStringTag, when possible.
Robustly get the length of a Typed Array
ES Object-related atoms: Object, ToObject, RequireObjectCoercible
Is this value a JS regex? Works cross-realm/iframe, and despite ES6 @@toStringTag
Is this value a JS DataView? This module works cross-realm/iframe, does not depend on `instanceof` or mutable properties, and despite ES6 Symbol.toStringTag.
Is this value a JS String object or primitive? This module works cross-realm/iframe, and despite ES6 @@toStringTag.
Give a regex, get a robust predicate function that tests it against a string.
["Adds Minitest assertion for testing HTML output, including contents, within a provided string"]
This gem provides behavior similar to sidekiq's inline mode but respects starting dates for scheduled jobs. This is especially useful for integration testing when asserting that certain things happen within a certain time frame.
== DESCRIPTION: BlockChainable is a module to aid in the creation of Domain Specific Languages using block structure. By including BlockChainable into your classes, you will be able to instantiate that class using the class name itself, followed by any parameters to be passed to initialize, followed by a block to be executed within the instantiated class. BlockChainable also allows methods to search up the chain of classes, meaning that although a block is executed in the scope of the instantiated class, any methods not found in the class but found in a class "up-scope" will be called successfully on the up-scope class. This chaining of method calls allows you to assert values within the blocks as well as calling any other methods from "up-scope" classes. == FEATURES/PROBLEMS:
== DESCRIPTION: BlockChainable is a module to aid in the creation of Domain Specific Languages using block structure. By including BlockChainable into your classes, you will be able to instantiate that class using the class name itself, followed by any parameters to be passed to initialize, followed by a block to be executed within the instantiated class. BlockChainable also allows methods to search up the chain of classes, meaning that although a block is executed in the scope of the instantiated class, any methods not found in the class but found in a class "up-scope" will be called successfully on the up-scope class. This chaining of method calls allows you to assert values within the blocks as well as calling any other methods from "up-scope" classes. == FEATURES/PROBLEMS:
With the happy proliferation of TDD, test suites are getting massive, and developer efficiency is dwindling as we wait for our tests to pass. There is a big tradeoff between making unit test more integrationish (and therefore more reliable) vs. making them very mocky, unity and fast. Mockumentary is a library for the later. It inspects the ActiveRecord universe and makes a series of AR mockeries that approximate model without hitting the database, or making any assertions. The assertions, they are still part of the developers job. Mocumentary has two types of AR mockeries: One is used within the Rails universe. It uses introspection to derive association and field information. The second is a static copy built from the first. This static version can be used outside the Rails test universe in a suite faster than the speed of Rails environment load time. Mocking isn't for everyone, so test-drive responsibly.
RSpec::Llama is a testing framework that allows developers to easily configure, run, and validate AI models such as OpenAI's GPT models, Llama, and others within the RSpec ecosystem. With a focus on simplicity and extensibility, RSpec::Llama provides: - A standardized approach to configuring different AI models with customizable parameters. - Runners to execute model interactions and capture responses seamlessly. - Comprehensive assertion types to validate model outputs against expected patterns. Whether you are developing AI-powered applications or simply need a reliable way to test various AI models' outputs, RSpec::Llama offers an all-in-one solution that integrates smoothly into your existing RSpec setup.
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