Thanks,
I'll take care of it.
Jon
On 11 June 2014 18:35, Mark Miesfeld <miesf...@gmail.com> wrote:
> Jon,
>
> I'm okay with adding the sample. Note that the rest of Rick's advice is
> pertinent.
>
> --
> Mark Miesfeld
>
>
>
> On Wed, Jun 11, 2014 at 10:31 AM, Rick McGuire <object.r...@gmail.com>
> wrote:
>
>> Jon,
>>
>> You'll need to get Rony's permission, but I'm ok with that. Note that we
>> generally don't include author information in the code, so you'll need to
>> clean that sort of stuff up, although I would not be adverse to adding a
>> "originally contributed by" notice.
>>
>> Rick
>>
>>
>> On Wed, Jun 11, 2014 at 1:26 PM, Sahananda (Jon) Wolfers <
>> sahana...@windhorse.biz> wrote:
>>
>>> Hi Rick,
>>>
>>> glad to see this one. I always wondered who created classes on the fly.
>>> I say get rid of it.
>>>
>>> I'd like to add Rony's singleton meta-class and use_singleton script to
>>> the samples. Is that OK?
>>>
>>> Jon
>>>
>>>
>>> On 11 June 2014 18:05, Mark Miesfeld <miesf...@gmail.com> wrote:
>>>
>>>> I say go for it. Whatever you think is useful, go ahead and do it.
>>>>
>>>> --
>>>> Mark Miesfeld
>>>>
>>>>
>>>> On Wed, Jun 11, 2014 at 10:00 AM, Rick McGuire <object.r...@gmail.com>
>>>> wrote:
>>>>
>>>>> I've been going through the samples and modernizing some of these
>>>>> samples. One of the samples, factor.rex, demonstrates some features that
>>>>> are really features I would hope that no programmer would ever use because
>>>>> the language directives are really the way to go. I'd like to delete this
>>>>> one...any objections?
>>>>>
>>>>> btw, I'm also going to add a few of the programs I wrote for Rosetta
>>>>> Code to the samples, the ones that illustrate some interesting ooRexx
>>>>> features. Other than the oodialog samples, the set of samples we have are
>>>>> really pretty stale. There are very few in there that I would refer
>>>>> someone too for an example of how to do something, so they really fail
>>>>> pretty badly in their usefulness.
>>>>>
>>>>> Rick
>>>>>
>>>>>
>>>>> ------------------------------------------------------------------------------
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>>>>>
>>>>>
>>>>
>>>>
>>>> ------------------------------------------------------------------------------
>>>> HPCC Systems Open Source Big Data Platform from LexisNexis Risk
>>>> Solutions
>>>> Find What Matters Most in Your Big Data with HPCC Systems
>>>> Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
>>>> Leverages Graph Analysis for Fast Processing & Easy Data Exploration
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>>>>
>>>
>>>
>>> ------------------------------------------------------------------------------
>>> HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
>>> Find What Matters Most in Your Big Data with HPCC Systems
>>> Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
>>> Leverages Graph Analysis for Fast Processing & Easy Data Exploration
>>> http://p.sf.net/sfu/hpccsystems
>>> _______________________________________________
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>>>
>>
>>
>> ------------------------------------------------------------------------------
>> HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
>> Find What Matters Most in Your Big Data with HPCC Systems
>> Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
>> Leverages Graph Analysis for Fast Processing & Easy Data Exploration
>> http://p.sf.net/sfu/hpccsystems
>> _______________________________________________
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>> https://lists.sourceforge.net/lists/listinfo/oorexx-devel
>>
>>
>
>
> ------------------------------------------------------------------------------
> HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
> Find What Matters Most in Your Big Data with HPCC Systems
> Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
> Leverages Graph Analysis for Fast Processing & Easy Data Exploration
> http://p.sf.net/sfu/hpccsystems
> _______________________________________________
> Oorexx-devel mailing list
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> https://lists.sourceforge.net/lists/listinfo/oorexx-devel
>
>
------------------------------------------------------------------------------
HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
Find What Matters Most in Your Big Data with HPCC Systems
Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
Leverages Graph Analysis for Fast Processing & Easy Data Exploration
http://p.sf.net/sfu/hpccsystems
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