sghaida / fp Goto Github PK

Additional context
add tests for map

definition
Map[A](f: A => B, list: Container[A]): Container[B]

solution.
it would be nice to have a mapping function for any primitive or complex type, which is generic enough to take any data type using some constructor that lifts any type to MapType where A => F[A], and f (A => B) has to apply Transformation for every A inside to produce F[B]

Is your feature request related to a problem? Please describe.
since map is done using reflection, performance is going to be affected for big slices and to make it more acceptable from a performance point of view. some partitioning for the operations and to handle a small amount of data per routine makes a lot of sense

solution
partition the data above 1000 to multiples of 1000's and run all in goroutines that they fan-in to the resulting slice using some channel. the problem with that to make it fast, the order of elements in the case of slice shouldn't be maintained

Additional context
this applies to slices bigger than 1000 to accelerate the process
as doing a map over 1000 int elements take on average 600 nanosecond, which is good enough

defintion
FlatMap[B](f: A => Container[B]): Container[B]

solution
Flatmap is a combination of a map operation then flat operation

Additional context
this could be very useful to convert slice[A] to slice[B] where f is function A => Slice[B]
in the context of having []string and apply f to produce []byte

Is your feature request related to a problem? Please describe.
dealing with nils is a nightmare so the idea of option is to eliminate the usage of nil and instead
use SomeType or NoneType as data containers

Is your feature request related to a problem? Please describe.
add either type which contains some value on error and related functionalities such as

1. IsLeft -> bool
2. IsRight -> bool
3. Either() -> EitherType
4. Left(error) set left -> EitherType
   5.Right(some data) set right -> EitherType
5. Get() returns the right -> some data if right is available

Is your feature request related to a problem? Please describe.
add reduce functionality to be able to do aggregation on slices