just recalled something, see the following patches in my tutorials:
data-s_09.pd for array encapsulation, and data-s_09a.pd on how to use
[array] and [text] to interact with data structures. afaik that is still
up to date info.
Dear all
I am trying to find the most Pd-vanilla-way to
can you post an example of a parsed content?
Thanks all for the pointers. Now it is on mer to check the other tutorials
> and find a way around. Our object does parse json in and out to file and
> std if needs be, the only idea here is a batch interface with Pd so users
> can input and retrieve
Thanks all for the pointers. Now it is on mer to check the other tutorials and
find a way around. Our object does parse json in and out to file and std if
needs be, the only idea here is a batch interface with Pd so users can input
and retrieve en masse to our dataset world (with mlp and umap
is jmmmp/cellblock a model of what you could use? but adapted to lists
and maybe not so complex?
I tried opening your first example in [text]. As I thought, the issue is
that commas are already reserved in pd for line changes. The output is
this (I added a line number at the start of each
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
escreveu:
> you still have my data structures tutorials? that might be easier
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 wrote:
The least-horrible way to learn about it is the "4.data.structures"
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 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
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
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 wrote:
>
> Does the max documentation of flucoma has concrete
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.
Hello Pierre
"does not allow to do symbols and (list of) floats"
not with the set object but with the text and the array object that have a
data structure specific part in their documentation.
On Tue, Sep 7, 2021 at 10:24 AM Pierre Alexandre Tremblay <
tremb...@gmail.com> wrote:
> Thanks for
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
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.
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.
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