What I ended up writing (not cleaned up at all, and not exactly solving the
problem posed; CRAPLed <http://matt.might.net/articles/crapl/>, if you
will) can be found here: http://lpaste.net/104155

I used a monadic fold and the Writer monad, though looking back on it, I
feel like Pipes would be a natural fit. I'm keeping a buffer just big
enough to know what to output at each step in the consumption of the list.

One problem I had was that I misremembered how scan works; for some reason
I thought that `scan list` was `tails` and not `inits`.



On Wed, May 14, 2014 at 7:50 PM, Gabriel Gonzalez <[email protected]>wrote:

>  Actually, there's not a good way to do this using `Foldl` because the
> fold does not have access to elements ahead of it in the stream.
>
> However, there's a pretty simple solution in terms of ordinary list
> functions:
>
>     import Data.List (tails)
>
>
>     takeInteresting :: Int -> (a -> Bool) -> [a] -> [a]
>     takeInteresting n pred = go n
>       where
>         -- go :: Int -> [a] -> [a]
>         go n as =
>             if n <= 0
>             then []
>             else let (prefix , suffix ) = break pred as
>                      (prefix', suffix') = case suffix of
>                          []      -> (prefix, suffix)
>                          s:uffix -> (prefix ++ [s], uffix)
>                  in  prefix' ++ go (n - 1) suffix'
>
>     scanInteresting :: Int -> (a -> Bool) -> [a] -> [[a]]
>     scanInteresting n pred = map (takeInteresting n pred) . tails
>
> Here's an example usage:
>
>     >>> scanInteresting 2 (== 0) [1, 2, 0, 3, 4, 0, 5, 6, 0]
>
> [[1,2,0,3,4,0],[2,0,3,4,0],[0,3,4,0],[3,4,0,5,6,0],[4,0,5,6,0],[0,5,6,0],[5,6,0],[6,0],[0],[]]
>
>
>
> On 5/11/14, 9:40 AM, Alex Rozenshteyn wrote:
>
>      Only tangentially related, but still, close enough that I feel like
> it's a follow-up, and tricky enough that I feel like I should ask someone
> else.
>
>  This is a Foldl question, so if there's a better place to ask it, please
> let me know.
>
>  Some context, which can mostly be safely ignored, but I'm providing for
> motivation in case my explanation is not clear:
>
>  I'm trying to make Anki flashcards to memorize "The Love Song of J.
> Alfred Prufrock". My input format is the text of the poem (slightly
> preprocessed), and my output formate is a newline separated file with some
> formatting on each line. Each line defines a flashcard with a hole (a cloze
> deletion). I would like sufficient context; in this case, it's 5 lines or
> to the beginning of the stanza, whichever is longer.
>
>  </context>
>
>  What I want to write is a variant on a take function that takes the first
> n "interesting" elements and any uninteresting ones interspersed; that is
>
>  takeInteresting :: Int -> (a -> Bool) -> [a] -> [a]
>
>  such that
>
> length . filter p . takeInteresting n p == n
>  isPrefixOf (takeInteresting n p xs) xs
>
>  If I understand correctly, I can write this as a fold and then use a scan
> to apply it at every starting point.
>
>  My question is how best to write this fold.
>
> My ad-hoc approach was to use a decorate-doStuff-undecorate pattern where
> I would count the number of interesting elements, but it wasn't very
> compositional; I expect there's a better approach.
>
>  Thank you.
>
>
> On Thu, Mar 6, 2014 at 12:43 AM, Gabriel Gonzalez <[email protected]>wrote:
>
>>  The trick is to combine `pipes` with the `foldl` library.  In fact,
>> given any `Fold`, you can convert it into a scanning pipe like this:
>>
>>     convert :: Monad m => Fold a b -> Pipe a b m r
>>     convert = Control.Foldl.purely Pipes.Prelude.scan
>>
>> So now you have a smaller problem: write a fold for a moving average of a
>> stream of numbers.  It turns out that there is a nice way to do this in
>> O(1) space if you do an exponential moving average:
>>
>> http://lpaste.net/100765
>>
>> You can also do an ordinary moving average, too, but that requires O(N)
>> space (where N is the window size).  It basically involves storing the last
>> N elements as the fold's internal state.
>>
>> The `foldl` library is easy to learn.  Just read the module header here
>> and the documentation for the `Fold` type:
>>
>> http://hackage.haskell.org/package/foldl-1.0.2/docs/Control-Foldl.html
>>
>> Now, technically, you could do all of this without using the `foldl`
>> library at all, just by passing the folding logic directly to
>> `Pipes.Prelude.scan`, but by using `foldl` you make it really easy to add
>> additional metrics to your `Fold` while still passing over the data just
>> once.
>>
>>
>> On 3/5/2014 8:01 AM, Alex Rozenshteyn wrote:
>>
>>  I feel like I must be missing something rather basic, but I have been
>> trying to figure out how to use pipes to compute a moving average of a
>> stream of numbers. I've written code to do the EWMA, but I can't figure out
>> how to do the sliding window. It doesn't help that I'm a bit of a pipes
>> beginner.
>>
>> Advice is welcome and appreciated.
>>
>> Thank you.
>>  --
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>>
>>
>
>
> --
>            Alex R
>
>
>


-- 
          Alex R

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