I’ll give tutorial 4 a go, with the hints of everyone to see how far I can go.
> On 7 Sep 2021, at 20:34, Miller Puckette <m...@ucsd.edu> wrote:
>
> The least-horrible way to learn about it is the "4.data.structures" tutorial
> sequence.
>
> But the whole idea of hierarchical data structures maps horribly to a
> patch language - there needs to be a better way to access 'data' in Pd.
>
> cheers
> M
>
> On Tue, Sep 07, 2021 at 08:23:58PM +0100, Pierre Alexandre Tremblay wrote:
>> There are plenty of examples indeed :)
>>
>> I’ll give struct with text and arrays a fair fight, I find the doc
>> especially quite hard to follow for non-graphical usage but it might just be
>> me.
>>
>>
>>
>>> On 7 Sep 2021, at 19:23, João Pais <jmmmp...@gmail.com> wrote:
>>>
>>> Does the max documentation of flucoma has concrete examples of what you're
>>> looking for?
>>>
>>> There is the purest_json library (which isn't vanilla), but maybe with some
>>> hacking it might be possible to read files. Not sure about writing, but my
>>> hacking isn't up to date with the current pd state.
>>>
>>>
>>>> Thanks for the quick reply!
>>>>
>>>> 2 use-cases.
>>>>
>>>> 1- we can generate or retrieve a dataset's content to use natively in the
>>>> creative coding environment (Max Pd Sc) so that it integrates in other
>>>> workflows of data mangling and drawing. We already have in our dataset
>>>> object file support and single point entry and query but this allow batch
>>>> dump and load. The structure is:
>>>>
>>>> {
>>>> "cols" : 3,
>>>> "data" : {
>>>> "entry-0" : [ -0.06755, 0.44185, -0.33835 ],
>>>> "entry-1" : [ -0.12305, -0.24085, 0.31295 ],
>>>> "entry-2" : [ -0.0595, -0.2881, 0.0597 ]
>>>> }
>>>>
>>>> }
>>>>
>>>>
>>>> 2- we can retrieve or set the state of a complex objects. Our object will
>>>> spit out its internal status ( for instance, a neural net) and we can use
>>>> the values of its parameters, like below. More interestingly, we can also
>>>> query its structure and use that information too.
>>>>
>>>> {
>>>> "layers" : [ {
>>>> "activation" : 3,
>>>> "biases" : [ -3.076234734727154, 0.772760846709679 ],
>>>> "cols" : 2,
>>>> "rows" : 1,
>>>> "weights" : [ [ 6.015551733036155, -1.826803841455323 ]
>>>> ]
>>>> }
>>>> , {
>>>> "activation" : 3,
>>>> "biases" : [ -0.490600074475542 ],
>>>> "cols" : 1,
>>>> "rows" : 2,
>>>> "weights" : [ [ -3.115116035462417 ], [
>>>> -3.969281643687132 ] ]
>>>> }
>>>> ]
>>>> }
>>>>
>>>> The key-value nesting is quite powerful for this type of open structure...
>>>>
>>>>> On 7 Sep 2021, at 15:51, Christof Ressi <i...@christofressi.com> wrote:
>>>>>
>>>>> Can you give an example of how the data is structured?
>>>>>
>>>>> In which ways are users supposed to interact with the data?
>>>>>
>>>>> Christof
>>>>>
>>>>> On 07.09.2021 16:37, Pierre Alexandre Tremblay wrote:
>>>>>> Dear all
>>>>>>
>>>>>> I am trying to find the most Pd-vanilla-way to interface with our
>>>>>> Dataset object in the FluCoMa project. In Max and SuperCollider we use
>>>>>> Dictionaries, which are nestable and queryable in powerful programmatic
>>>>>> ways, working essentially like interfaces to JSON-like data structures.
>>>>>>
>>>>>> I’ve looked at [struct] but the [set] object does not allow to do
>>>>>> symbols and (list of) floats, and [appends] seem to have the same
>>>>>> limitations. In all cases, I’m not certain it is the best approach in
>>>>>> any cases to create such a list in Pd...
>>>>>>
>>>>>> I wonder how people do it and if I am missing an obvious workflow,
>>>>>> especially with nested structures.
>>>>>>
>>>>>> Any pointer (pun intended) welcome
>>>>>>
>>>>>> p
>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>
>>
>>
>>
>>
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