Question 1

How to implement a custom monad with fp-core.rs in Rust?

Accepted Answer

Use the provided Monad trait and implement it for your type, following examples from the README like Option. Ensure your type also implements HKT and Chain traits, and test with the Fantasy Land rules for compliance.

Question 2

fp-core.rs vs frunk: which is better for functional programming in Rust?

Accepted Answer

fp-core.rs focuses on educational content and Fantasy Land spec alignment, ideal for learning FP concepts. Frunk offers more practical, general-purpose functional utilities. Choose based on whether you need theoretical foundations or ready-to-use tools.

Question 3

Is fp-core.rs stable enough for production use?

Accepted Answer

It's primarily designed as an educational resource, so while functional, it may have breaking changes or lack optimization. Evaluate its maturity against your project's stability requirements and consider more battle-tested alternatives for critical systems.

Question 4

What are the performance trade-offs of using fp-core.rs's data structures?

Accepted Answer

Immutable data structures often involve copying and allocation, which can slow down operations compared to mutable ones. Benchmark specific use cases, as overhead varies with structure size and access patterns.

Question 5

Can I use fp-core.rs with async/await in Rust?

Accepted Answer

The library doesn't explicitly support async programming; you'd need to integrate it manually, which might complicate error handling and concurrency due to its focus on synchronous, pure functional patterns.

Question 6

How does fp-core.rs handle error handling with functional abstractions?

Accepted Answer

It uses standard Rust types like Option and Result, enhanced with FP traits such as Monad for chaining operations. This allows for expressive error propagation but requires familiarity with FP patterns like flat_map.

fp-core.rs

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