Robert,

coincidentally I had the last Windows update just one hour ago; but the problem 
was there before and after.

I am presently traveling and have no access to any other computer than my 
notebook; thus I can not try to replicate my problem on another machine.

(I am using VS 2017 Enterprise on an English Windows 10 an a ThinkPad P50 Xeon 
machine to develop an app that connects to J DLL Server. Had 804 so far but 
would like to switch to 805.)

Is anybody successfully using the 32 bit 805 DLL Server from VS in a .net 
application?

Best
Herbert

> On 13 Apr 2017, at 21:09, robert therriault <[email protected]> wrote:
> 
> Herbert,
> 
> This may not be related at all, but is this recent?  I read that Windows 10 
> had the Creative update pushed on it in the last couple of days and if it was 
> like the last time it may break some things. Not sure why it would affect 805 
> and not 804. ;-)
> 
> http://www.infoworld.com/article/3189776/microsoft-windows/microsofts-critical-windows-and-office-patches-present-a-panoply-of-problems.html
> 
> Cheers, bob
> 
>> On Apr 13, 2017, at 5:57 PM, Herbert Weissenbaeck // Privat 
>> <[email protected]> wrote:
>> 
>> Thank you. Tried to run vs as admin.
>> same result
>> 
>> uninstalled and re-installed j805 into users directory.
>> same (negative) result.
>> 
>> I can however use J EXE Server via COM also in the 805 version (but want J 
>> DLL Server, which still gives me an error).
>> 
>> Any more ideas?
>> 
>> Sent from my iPhone
>> 
>>> On 13 Apr 2017, at 20:18, bill lam <[email protected]> wrote:
>>> 
>>> I am not sure. IIRC It works for me. Perhaps it is a security issue. try
>>> run visual studio as admin.
>>> 
>>> program files is protected, not sure if this is related to your problem.
>>> 
>>> 
>>> On 14 Apr, 2017 7:48 am, "Herbert Weissenbaeck // Privat" <
>>> [email protected]> wrote:
>>> 
>>> its regsvr32 without the "/r", i suppose.
>>> 
>>> in an admin console the registration seems to work. the J DLL Server
>>> (version 3) type library shows up in visual studio with file version 805.
>>> (the j804 one showed file version 701.)
>>> 
>>> however selecting it gives an error: "A reference to 'J DLL Server (version
>>> 3) Type Library' could not be added. Could not register the ActiveX type
>>> library 'C:\Program Files\j805\bin\j.dll'.
>>> 
>>> the same thing works without any problem with j804. why?
>>> 
>>> 
>>> Sent from my iPhone
>>> 
>>>> On 13 Apr 2017, at 19:22, bill lam <[email protected]> wrote:
>>>> 
>>>> typo, regsvr32
>>>> 
>>>>> On 14 Apr, 2017 7:21 am, "bill lam" <[email protected]> wrote:
>>>>> 
>>>>> jdllserver should work for all versions. try open an admin command prompt
>>>>> at bin folder and type
>>>>> regvsr32 /r j.dll
>>>>> 
>>>>> On 14 Apr, 2017 6:17 am, "Herbert Weissenbaeck // Privat" <
>>>>> [email protected]> wrote:
>>>>> 
>>>>> On my Windows 10 machine J805 fails to register as a COM Server.
>>>>> 
>>>>> When I use jreg.cmd under 804 I get a "J DLL Server (version 3) Type
>>>>> Library" in the kist of available Type Libraries in MS Visual Studio.
>>>>> 
>>>>> When I do the same with J805, no type library is registered.
>>>>> 
>>>>> Is this a bug or a feature? I would prefer working with 805 over 804.
>>>>> 
>>>>> Any hints/fixes?
>>>>> 
>>>>>> On 13 Apr 2017, at 16:23, 'Bo Jacoby' via Programming <
>>>>> [email protected]> wrote:
>>>>>> 
>>>>>> Hi Louis.
>>>>>> Thanks for asking. I regret not knowing the answer.
>>>>>> An ordinal fraction is like an array in J, with minor differences.
>>>>>> - Arrays have names. Ordinal fractions have numbers.
>>>>>> - An array has a finite number of dimensions. An ordinal fraction has
>>>>> an infinite number of dimensions.
>>>>>> - Arrays may have different shapes. All ordinal fractions have the
>>>>> same shape: 9 9 9 9 . . .
>>>>>> - Arrays have zero-origin indexing (0 1 . . .  n). Ordinal fractions
>>>>> have one-origin indexing (1 2 3 4 5 6 7 8 9).
>>>>>> 
>>>>>> - Arrays have elements. Ordinal fractions do not have elements.
>>>>>> - Arrays may have subarrays. All ordinal fractions have subordinate
>>>>> ordinal fractions.
>>>>>> - Array elements contain data. Any ordinal fraction may contain a data
>>>>> element.
>>>>>> Ordinal fractions were invented (by me) in 1980, but have had limited
>>>>> dissemination so far. I made programs in fortran and pascal and basic for
>>>>> manipulating ordinal fraction files, but I have not managed to do it in
>>> J.
>>>>> The programs were general, because the logic is in the data file and not
>>> in
>>>>> the program. I have been alone doing this.
>>>>>> Thanks! Bo.
>>>>>> 
>>>>>> 
>>>>>> 
>>>>>> 
>>>>>> Den 20:08 torsdag den 13. april 2017 skrev Louis de Forcrand <
>>>>> [email protected]>:
>>>>>> 
>>>>>> 
>>>>>> Hi Bo,
>>>>>> This is cool.
>>>>>> 
>>>>>> As for the way you suggest using it here, isn't it equivalent to
>>>>> (without the first six rows of your data):
>>>>>> 
>>>>>> (~.@[ ,. +//.)/@|:
>>>>>> ?
>>>>>> 
>>>>>> Louis
>>>>>> 
>>>>>>> On 12 Apr 2017, at 21:57, 'Bo Jacoby' via Programming <
>>>>> [email protected]> wrote:
>>>>>>> 
>>>>>>> Hi Joe!
>>>>>>> My favorite datastructure is ORDINAL FRACTIONS - the algebra of data
>>>>>>> 
>>>>>>> |
>>>>>>> |
>>>>>>> |
>>>>>>> |  |    |
>>>>>>> 
>>>>>>> |
>>>>>>> 
>>>>>>> |
>>>>>>> |
>>>>>>> |    |
>>>>>>> ORDINAL FRACTIONS - the algebra of data
>>>>>>> This paper was submitted to the 10th World Computer Congress, IFIP 1986
>>>>> conference, but rejected by the referee....  |  |
>>>>>>> 
>>>>>>> |
>>>>>>> 
>>>>>>> |
>>>>>>> 
>>>>>>> 
>>>>>>> Your data are coded like this
>>>>>>> 10 Joe
>>>>>>> 20 Bob
>>>>>>> 30 Jane
>>>>>>> 01 blue
>>>>>>> 02 red
>>>>>>> 03 purple
>>>>>>> 11 1
>>>>>>> 11 -1
>>>>>>> 11 1
>>>>>>> 22 1
>>>>>>> 22 1
>>>>>>> 22 3
>>>>>>> 22 -1
>>>>>>> 22 -1
>>>>>>> 33 5
>>>>>>> 33 -2
>>>>>>> 33 2
>>>>>>> (Written with double CRs because the mail program has a history of
>>>>> deleting my CRs).
>>>>>>> Summation gives the result
>>>>>>> 10 Joe
>>>>>>> 20 Bob
>>>>>>> 30 Jane
>>>>>>> 01 blue
>>>>>>> 02 red
>>>>>>> 03 purple
>>>>>>> 11 1
>>>>>>> 22 3
>>>>>>> 
>>>>>>> 33 5
>>>>>>> I have not done the summation in J, but I'd like to do it.
>>>>>>> Perhaps this helps you.
>>>>>>> Bo.
>>>>>>> 
>>>>>>> 
>>>>>>> 
>>>>>>> Den 0:04 torsdag den 13. april 2017 skrev chris burke <
>>>>> [email protected]>:
>>>>>>> 
>>>>>>> 
>>>>>>> Incidentally, for production code, I suggest starting by removing any
>>>>> sales
>>>>>>> not matched in returns and vice versa, so that the matching algorithm
>>> is
>>>>>>> applied only to potential matches.
>>>>>>> 
>>>>>>>> On Wed, Apr 12, 2017 at 2:53 PM, chris burke <[email protected]>
>>>>> wrote:
>>>>>>>> 
>>>>>>>> Great.
>>>>>>>> 
>>>>>>>> In case you need more complicated handling of the "gray area"
>>>>>>>> transactions, I believe they would be relatively few in number, so
>>>>> most of
>>>>>>>> the time you could do the matching efficiently, then check for any
>>> keys
>>>>>>>> with returns preceding sales. For those, setting aside the first such
>>>>>>>> return and repeating should clear them quickly.
>>>>>>>> 
>>>>>>>> Timing should be well under 1 second for a million records.
>>>>>>>> 
>>>>>>>>> On Wed, Apr 12, 2017 at 1:57 PM, Joe Bogner <[email protected]>
>>>>> wrote:
>>>>>>>>> 
>>>>>>>>> Just for completeness, I added a line that incorporates the sequence
>>>>> check
>>>>>>>>> into the cancel logic. Works great
>>>>>>>>> 
>>>>>>>>> NB. hui progressive index
>>>>>>>>> NB. http://code.jsoftware.com/wiki/Essays/Progressive_Index-Of
>>>>>>>>> oc=: i.~ (] - {) /:@/:
>>>>>>>>> pi=: #@[ ({. i.&(,.oc) }.) [ i. ,
>>>>>>>>> 
>>>>>>>>> NB. argument is 3-col table of seq,key,qty
>>>>>>>>> NB. result is the unmatched transactions
>>>>>>>>> matchtrans=: 3 : 0
>>>>>>>>> msk=. 0<{:"1 y
>>>>>>>>> sales=. msk#y
>>>>>>>>> returns=. (-.msk)#y
>>>>>>>>> ndx=. (}."1 sales) pi | }."1 returns
>>>>>>>>> cancels=. ndx<#sales
>>>>>>>>> NB. ensure cancel is after sale
>>>>>>>>> cancels =. cancels *. (({."1 (<<(cancels)#ndx){sales) < ({."1
>>>>>>>>> (cancels#returns)))
>>>>>>>>> ((<<<cancels#ndx){sales),(-.cancels)#returns
>>>>>>>>> )
>>>>>>>>> 
>>>>>>>>> 
>>>>>>>>>> On Wed, Apr 12, 2017 at 4:14 PM, Joe Bogner <[email protected]>
>>>>> wrote:
>>>>>>>>>> 
>>>>>>>>>> Chris, this looks promising. Thanks for sharing. It's nearly instant
>>>>> on
>>>>>>>>> a
>>>>>>>>>> million rows.
>>>>>>>>>> 
>>>>>>>>>> Which row had a return before a transaction? seq 10 was an example
>>>>> of a
>>>>>>>>>> partial return. The hypothetical customer returned 2 out of the 5
>>>>>>>>> purchased
>>>>>>>>>> prior. I added that example since technically per the original spec
>>>>> it
>>>>>>>>>> wouldn't be cancelled out in this pass.  It's a gray area so I may
>>> be
>>>>>>>>> able
>>>>>>>>>> to use this approach, especially since I don't see how to
>>> incorporate
>>>>>>>>> the
>>>>>>>>>> time element into the progressive index.
>>>>>>>>>> 
>>>>>>>>>> Thanks again
>>>>>>>>>> 
>>>>>>>>>> 
>>>>>>>>>> On Wed, Apr 12, 2017 at 3:52 PM, chris burke <[email protected]>
>>>>>>>>> wrote:
>>>>>>>>>> 
>>>>>>>>>>> This might be done by comparing matrices of sales and returns. The
>>>>>>>>>>> function
>>>>>>>>>>> below seems to be close to what you want. It doesn't exactly match
>>>>> your
>>>>>>>>>>> example, but your example has cases where returns are made before
>>>>> the
>>>>>>>>>>> transactions. Was this intentional?
>>>>>>>>>>> 
>>>>>>>>>>> The code should run faster than a looping solution.
>>>>>>>>>>> 
>>>>>>>>>>> Code:
>>>>>>>>>>> 
>>>>>>>>>>> NB. hui progressive index
>>>>>>>>>>> NB. http://code.jsoftware.com/wiki/Essays/Progressive_Index-Of
>>>>>>>>>>> oc=: i.~ (] - {) /:@/:
>>>>>>>>>>> pi=: #@[ ({. i.&(,.oc) }.) [ i. ,
>>>>>>>>>>> 
>>>>>>>>>>> NB. argument is 3-col table of seq,key,qty
>>>>>>>>>>> NB. result is the unmatched transactions
>>>>>>>>>>> matchtrans=: 3 : 0
>>>>>>>>>>> msk=. 0<{:"1 y
>>>>>>>>>>> sales=. msk#y
>>>>>>>>>>> returns=. (-.msk)#y
>>>>>>>>>>> ndx=. (}."1 sales) pi | }."1 returns
>>>>>>>>>>> cancels=. ndx<#sales
>>>>>>>>>>> ((<<<cancels#ndx){sales),(-.cancels)#returns
>>>>>>>>>>> )
>>>>>>>>>>> 
>>>>>>>>>>> Example:
>>>>>>>>>>> 
>>>>>>>>>>> dat=: ".;._2 (0 : 0)
>>>>>>>>>>> 1 1 1
>>>>>>>>>>> 2 1 _1
>>>>>>>>>>> 3 1 1
>>>>>>>>>>> 4 2 1
>>>>>>>>>>> 5 2 1
>>>>>>>>>>> 6 2 3
>>>>>>>>>>> 7 2 _1
>>>>>>>>>>> 8 2 _1
>>>>>>>>>>> 9 3 5
>>>>>>>>>>> 10 3 _2
>>>>>>>>>>> 11 3 2
>>>>>>>>>>> )
>>>>>>>>>>> 
>>>>>>>>>>> matchtrans dat
>>>>>>>>>>> 3 1 1
>>>>>>>>>>> 6 2 3
>>>>>>>>>>> 9 3 5
>>>>>>>>>>> 
>>>>>>>>>>> 
>>>>>>>>>>> On Wed, Apr 12, 2017 at 9:35 AM, Joe Bogner <[email protected]>
>>>>>>>>> wrote:
>>>>>>>>>>> 
>>>>>>>>>>>> I have a problem I'm trying to solve in different languages. I
>>>>> have a
>>>>>>>>>>>> solution in SQL and also in kdb which largely resembles the SQL
>>>>>>>>>>> solution.
>>>>>>>>>>>> I'm curious what a J solution would look like. More specifically,
>>>>> I'm
>>>>>>>>>>>> interested in picking the brains of others here to see if this
>>> type
>>>>>>>>> of
>>>>>>>>>>>> problem can be solved without looping (some form of scan?).
>>>>>>>>>>>> 
>>>>>>>>>>>> EDIT: Initially I wrote this up thinking the J solution would
>>>>>>>>> difficult,
>>>>>>>>>>>> but it was actually fairly straightforward -- about 15 minutes,
>>> but
>>>>>>>>>>> still
>>>>>>>>>>>> would like to see if there are alternatives. If nothing else,
>>> maybe
>>>>>>>>> an
>>>>>>>>>>>> interesting problem to share.
>>>>>>>>>>>> 
>>>>>>>>>>>> Example data:
>>>>>>>>>>>> 
>>>>>>>>>>>> A store has a transaction log with a sequence for each
>>> transaction.
>>>>>>>>> The
>>>>>>>>>>>> transaction log records a key for a unique customer/item
>>>>> combination.
>>>>>>>>>>> The
>>>>>>>>>>>> transaction log records how many units were purchased or returned.
>>>>>>>>>>>> 
>>>>>>>>>>>> Goal:
>>>>>>>>>>>> Attempt to match up related transactions and cancel out instances
>>>>>>>>> when
>>>>>>>>>>> the
>>>>>>>>>>>> customer/item combination is returned at the same quantity as a
>>>>>>>>> previous
>>>>>>>>>>>> transaction
>>>>>>>>>>>> 
>>>>>>>>>>>> Examples:
>>>>>>>>>>>> 
>>>>>>>>>>>> Joe buys 1 blue pen, which is defective, then returns the 1
>>>>> defective
>>>>>>>>>>> blue
>>>>>>>>>>>> pen, then buys another blue pen. EXPECTED: cancel out first two
>>>>>>>>>>>> transactions and leave the the last one for 1 pen
>>>>>>>>>>>> 
>>>>>>>>>>>> Bob buys 2 red pens in two separate transactions. He then buys 3
>>>>>>>>> more.
>>>>>>>>>>> He
>>>>>>>>>>>> returns the first two purchases as two separate return
>>>>> transactions.
>>>>>>>>>>>> EXPECTED: cancel out all transactions except the one for qty 3
>>>>>>>>>>>> 
>>>>>>>>>>>> Jane buys 5 purple pens and subsequently returns two of them. She
>>>>>>>>> buys
>>>>>>>>>>> two
>>>>>>>>>>>> more. EXPECTED: No transactions match exactly, so nothing is
>>>>>>>>> cancelled
>>>>>>>>>>> out
>>>>>>>>>>>> 
>>>>>>>>>>>> 
>>>>>>>>>>>> Data:
>>>>>>>>>>>> 
>>>>>>>>>>>> data=: 0 : 0
>>>>>>>>>>>> seq key qty
>>>>>>>>>>>> 1 1 1
>>>>>>>>>>>> 2 1 _1
>>>>>>>>>>>> 3 1 1
>>>>>>>>>>>> 4 2 1
>>>>>>>>>>>> 5 2 1
>>>>>>>>>>>> 6 2 3
>>>>>>>>>>>> 7 2 _1
>>>>>>>>>>>> 8 2 _1
>>>>>>>>>>>> 9 3 5
>>>>>>>>>>>> 10 3 _2
>>>>>>>>>>>> 11 3 2
>>>>>>>>>>>> )
>>>>>>>>>>>> tbl =: ,. ' ' cut every cutLF data
>>>>>>>>>>>> 'seqs keys qtys' =: |: ". every }. tbl
>>>>>>>>>>>> 
>>>>>>>>>>>> 
>>>>>>>>>>>> Goal:
>>>>>>>>>>>> 
>>>>>>>>>>>> goals =: 0 : 0
>>>>>>>>>>>> 
>>>>>>>>>>>> goal
>>>>>>>>>>>> 
>>>>>>>>>>>> cancelled
>>>>>>>>>>>> 
>>>>>>>>>>>> credit
>>>>>>>>>>>> 
>>>>>>>>>>>> ok
>>>>>>>>>>>> 
>>>>>>>>>>>> cancelled
>>>>>>>>>>>> 
>>>>>>>>>>>> cancelled
>>>>>>>>>>>> 
>>>>>>>>>>>> ok
>>>>>>>>>>>> 
>>>>>>>>>>>> credit
>>>>>>>>>>>> 
>>>>>>>>>>>> credit
>>>>>>>>>>>> 
>>>>>>>>>>>> ok
>>>>>>>>>>>> 
>>>>>>>>>>>> ok
>>>>>>>>>>>> 
>>>>>>>>>>>> ok
>>>>>>>>>>>> 
>>>>>>>>>>>> )
>>>>>>>>>>>> 
>>>>>>>>>>>> 
>>>>>>>>>>>> 
>>>>>>>>>>>> 
>>>>>>>>>>>> tbl,.(cutLF goals)
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |seq|key|qty|goal |
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |1 |1 |1 |cancelled|
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |2 |1 |_1 |credit |
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |3 |1 |1 |ok |
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |4 |2 |1 |cancelled|
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |5 |2 |1 |cancelled|
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |6 |2 |3 |ok |
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |7 |2 |_1 |credit |
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |8 |2 |_1 |credit |
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |9 |3 |5 |ok |
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |10 |3 |_2 |ok |
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |11 |3 |2 |ok |
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> 
>>>>>>>>>>>> 
>>>>>>>>>>>> One approach:
>>>>>>>>>>>> 
>>>>>>>>>>>> applycredits =: 3 : 0
>>>>>>>>>>>> 
>>>>>>>>>>>> goals=.(<'goal')
>>>>>>>>>>>> 
>>>>>>>>>>>> creditids=.0
>>>>>>>>>>>> 
>>>>>>>>>>>> for_i. (i. # seqs) do.
>>>>>>>>>>>> 
>>>>>>>>>>>> key=.i{keys
>>>>>>>>>>>> 
>>>>>>>>>>>> seq=.i{seqs
>>>>>>>>>>>> 
>>>>>>>>>>>> qty=.i{qtys
>>>>>>>>>>>> 
>>>>>>>>>>>> nextcredit =.| {. qtys #~ ((key=keys)*(seqs>seq)*(qtys<0))
>>>>>>>>>>>> 
>>>>>>>>>>>> if. nextcredit = qty do.
>>>>>>>>>>>> 
>>>>>>>>>>>> goals=.goals,<'cancelled'
>>>>>>>>>>>> 
>>>>>>>>>>>> creditids =. creditids, seqs #~ ((key=keys)*(seqs>seq)*(qtys<0))
>>>>>>>>>>>> 
>>>>>>>>>>>> elseif. creditids e.~ seq do.
>>>>>>>>>>>> 
>>>>>>>>>>>> goals=.goals,<'credit'
>>>>>>>>>>>> 
>>>>>>>>>>>> elseif. do.
>>>>>>>>>>>> 
>>>>>>>>>>>> goals=.goals,<'ok'
>>>>>>>>>>>> 
>>>>>>>>>>>> end.
>>>>>>>>>>>> 
>>>>>>>>>>>> end.
>>>>>>>>>>>> 
>>>>>>>>>>>> goals
>>>>>>>>>>>> 
>>>>>>>>>>>> )
>>>>>>>>>>>> 
>>>>>>>>>>>> tbl ,. ( applycredits 0 )
>>>>>>>>>>>> 
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |seq|key|qty|goal |
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |1 |1 |1 |cancelled|
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |2 |1 |_1 |credit |
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |3 |1 |1 |ok |
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |4 |2 |1 |cancelled|
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |5 |2 |1 |cancelled|
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |6 |2 |3 |ok |
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |7 |2 |_1 |credit |
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |8 |2 |_1 |credit |
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |9 |3 |5 |ok |
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |10 |3 |_2 |ok |
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> |11 |3 |2 |ok |
>>>>>>>>>>>> 
>>>>>>>>>>>> +---+---+---+---------+
>>>>>>>>>>>> 
>>>>>>>>>>>> 
>>>>>>>>>>>> 
>>>>>>>>>>>> (cutLF goals) -: ( applycredits 0 )
>>>>>>>>>>>> 
>>>>>>>>>>>> 1
>>>>>>>>>>>> 
>>>>>>>>>>>> 
>>>>>>>>>>>> thanks for any input
>>>>>>>>>>>> ------------------------------------------------------------
>>>>>>>>> ----------
>>>>>>>>>>>> For information about J forums see http://www.jsoftware.com/forum
>>>>>>>>> s.htm
>>>>>>>>>>> ------------------------------------------------------------
>>>>> ----------
>>>>>>>>>>> For information about J forums see http://www.jsoftware.com/forum
>>>>> s.htm
>>>>>>>>>>> 
>>>>>>>>>> 
>>>>>>>>>> 
>>>>>>>>> ------------------------------------------------------------
>>>>> ----------
>>>>>>>>> For information about J forums see http://www.jsoftware.com/forum
>>>>> s.htm
>>>>>>>>> 
>>>>>>>> 
>>>>>>>> 
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