Funky

Experiments in functional programming patterns for creating structured, data-centered workflows.

`Iter[T]`

The Iter[T] type represents an iterator that produces values of type T, along with an error for each value. It can be used with a variety of functions to create functional-like data pipelines.

Tools

There are various functions that can be used to transform iterators to produce different sequences of values. If a transformation produces an error, then the error will be included. In general, if a previous step in a pipeline of transformations produced an error, that error will be passed through untouched. This means that all errors should survive to the end for handling by the caller.

`Apply(...)`

`Buffer(...)`

`Concat(...)`

`Each(...)`

`Reduce(...)`

`Take(...)`

`Where(...)`

`Zip(...)`

Examples

// Create an iterator over the numbers 1-5 from a slice
vals := funky.FromSlice([]int{1, 2, 3, 4, 5})

Then we can do some transformations:

// Sum the even values
evens := Where(vals, func(v int) (bool, error) {
    return v % 2 == 0, nil
})
total := Reduce(evens, func(a, v int) (int, error) {
    return a + v, nil
})

glesica/funky

Funky

Iter[T]

Tools

Apply(...)

Buffer(...)

Concat(...)

Each(...)

Reduce(...)

Take(...)

Where(...)

Zip(...)