Popularity
9.4
Declining
Activity
3.9
Growing
117
11
49

Monthly Downloads: 516
Programming language: Haskell
License: BSD 3-clause "New" or "Revised" License
Tags: Data     Control     These    
Latest version: v1.1

these alternatives and similar packages

Based on the "Control" category.
Alternatively, view these alternatives based on common mentions on social networks and blogs.

Do you think we are missing an alternative of these or a related project?

Add another 'Control' Package

README

These — an either-or-both data type

Build Status

The type These a b represents having either a value of type a, a value of type b, or values of both a and b:

data These a b = This a | That b | These a b

This is equivalent to Either (a, b) (Either a b). Or equivalent to Either a (b, Maybe a). Or various other equally equivalent types. In terms of "sum" and "product" types, These a b is a + b + ab which can't be factored cleanly to get a type that mentions a and b only once each.

The fact that there's no single obvious way to express it as a combination of existing types is one primary motivation for this package.

A variety of functions are provided in Data.These akin to those in Data.Either, except somewhat more numerous on account of having more cases to consider. Most should be self-explanatory if you're already familiar with the similarly-named functions in Data.Either and Data.Maybe.

here and there are traversals over elements of the same type, suitable for use with Control.Lens. This has the dramatic benefit that if you're using lens you can ignore the dreadfully bland mapThis and mapThat functions in favor of saying over here and over there.

Align — structural unions

There is a notion of "zippy" Applicatives where liftA2 (,) behaves like zip in the sense that if the Functor is regarded as a container with distinct locations, each element of the result is a pair of the values that occupied the same location in the two inputs. For this to be possible, the result can only contain values at locations where both inputs also contained values. In a sense, this is the intersection of the "shapes" of the two inputs.

In the case of the zip function itself, this means the length of the result is equal to the length of the shorter of the two inputs.

On many occasions it would be more useful to have a "zip with padding", where the length of the result is that of the longer input, with the other input extended by some means. The best way to do this is a recurring question, having been asked at least four times on Stack Overflow.

Probably the most obvious general-purpose solution is use Maybe so that the result is of type [(Maybe a, Maybe b)], but this forces any code using that result to consider the possibility of the list containing the value (Nothing, Nothing), which we don't want.

The type class Align is here because f (These a b) is the natural result type of a generic "zip with padding" operation--i.e. a structural union rather than intersection.

I believe the name "Align" was borrowed from a blog post by Paul Chiusano, though he used Alignable instead.

Unalign

unalign is to align as unzip is to zip. The Unalign class itself does nothing, as unalign can be defined for any Functor; an instance just documents that unalign behaves properly as an inverse to align.

Crosswalk

Crosswalk is to Align as Traversable is to Applicative. That's really all there is to say on the matter.

Bicrosswalk

<cmccann> elliott, you should think of some more instances for Bicrosswalk one of these days
<shachaf> cmccann: Does it have any instances?
<elliott> cmccann: unfortunately it is too perfect an abstraction to be useful.

ChronicleT — a.k.a. These as a monad

These a has an obvious Monad instance, provided here in monad transformer form.

The expected use case is for computations with a notion of fatal vs. non-fatal errors, like a hybrid writer/exception monad. While running successfully a computation carries a "record" of type c, which accumulates using a Monoid instance (as with the writer monad); if a computation fails completely, the result is its record up to the point where it ended.

A more specific example would be something like parsing ill-formed input with the goal of extracting as much as you can and throwing out anything you can't interpret.