Partition A Stream Error

Hi,

I'm not sure if this is possible but I want to partition a stream based on 
some condition that depends on the output of the stream. It will make sense 
with an example I think.

I will create a bunch of orders which I will stream since the actual use 
case is a stream of orders coming in so it is not known up front what the 
next order will be or even the full list of orders:

scala> case class Order(item : String, qty : Int, price : Double)
defined class Order

scala> val orders = List(Order("bike", 1, 23.34), Order("book", 3, 2.34), Order("lamp", 1, 9.44), Order("bike", 1, 23.34))
orders: List[Order] = List(Order(bike,1,23.34), Order(book,3,2.34), Order(lamp,1,9.44), Order(bike,1,23.34))

Now I want to partition/group these orders into one set which contain 
duplicate orders and another set which contains unique orders. So in the 
above example, when I force the stream it should create two streams: one 
with the two orders for a bike (Since they are the same) and another stream 
containing all the other orders.

I tried the following:

created the partitioning function:

scala> def matchOrders(o : Order, s : Stream[Order]) = s.contains(o)
matchOrders: (o: Order, s: Stream[Order])Boolean

then tried to apply this to stream:

scala> val s : (Stream[Order], Stream[Order]) = orders.toStream.partition(matchOrders(_, s._1))

I got a null pointer exception since I guess the s._1 is empty initially?? 
I'm not sure. I've tried other ways but I'm not getting very far. Is there 
a way to achieve this partitioning?


regards,

Iftikhar

-- 
You received this message because you are subscribed to the Google Groups "scala-language" group.
To unsubscribe from this group and stop receiving emails from it, send an email to [email protected].
For more options, visit https://groups.google.com/d/optout.