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Functional Patterns for Testing
5.1OverviewFunctional programming patterns complement OOP in test automation. While OOP structures your framework (page objects, test classes)…5.2Map, Filter, and ReduceThese three operations form the core of functional data processing. They replace explicit loops with declarative transformations.5.3ClosuresA closure captures variables from its enclosing scope — useful for factory functions that create pre-configured utilities.5.4Higher-Order FunctionsA higher-order function takes a function as an argument or returns a function. They are the building blocks of flexible test utilities.5.5ImmutabilityFunctional programming favors immutable data — data that is not modified after creation. This prevents subtle bugs where shared test data…5.6Pipe/Chain PatternProcess data through a series of transformations, each step's output feeding the next step's input.5.7When to Use Functional vs OOP5.8Practical Exercise1. Write a closure-based API client factory that supports different auth methods (token, API key, basic auth) 2. Write a test data factory…5.9Key Takeaways- map/filter/reduce replace explicit loops with declarative data processing - Closures create pre-configured functions — essential for API…