there's also one at https://github.com/porres/Live-Electronics-Tutorial/tree/v1.0-beta-43/Examples/Part.12-Advanced.Pd/37-Data.Structures
but not fully completed yet Em ter., 7 de set. de 2021 às 18:04, João Pais <jmmmp...@gmail.com> escreveu: > you still have my data structures tutorials? that might be easier than > the documentation. > > > > 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 > >>>>>>> > >>>>>>> > >>>>>>> > > > > > _______________________________________________ > Pd-list@lists.iem.at mailing list > UNSUBSCRIBE and account-management -> > https://lists.puredata.info/listinfo/pd-list >
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