Hey Tamás,
First of all, thank you for your feedback. Well, actually as I commented on
the tile "takes the hassle out of working with arrays", so yes so far only
slices are supported,
In regarding to the lazy or versatile, I don't get you I mean in the
example below:
package main
import (
"github.com/wesovilabs/koazee"
"github.com/wesovilabs/koazee/logger"
)
var numbers = []int{1, 2, 3, 4, 4, 1}
func main() {
logger.Enabled = true
var stream = koazee.Stream().
Filter(func(val int) bool {
return val%2 == 0
}).
Map(func(val int) int {
return val * 2
}).
RemoveDuplicates()
stream.With(numbers).
Reduce(func(acc, val int) int {
return acc + val
})
}
nothing is evaluated until you call Reduce function, and in case of some of
the previous evaluation fail reduce won't be performed.
In regard to the versatility, Koazee provide a "generic" support for any
type of slices, as you can see in the examples or in the documentation no
casting are required for handling your arrays.
I hope this can resolve your doubts, and hanks again for your feedback,,
really appreciate it
On Monday, November 12, 2018 at 8:18:04 AM UTC+1, Tamás Gulácsi wrote:
>
> As far as I understand, this works only with slices, and first it copies
> them.
> So neither lazy nor versatile.
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