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 and other fun ML 
goodies - all working so soon on a repo near you if I can crack that last 
interface problem :)

> On 8 Sep 2021, at 08:26, João Pais <[email protected]> wrote:
> 
> 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 line) when using carriage returns:
> 
> print:  0 {
> print:  1 "cols" : 3
> print: 2
> print:  3 "data" : {
> print:  4 "entry-0" : [ -0.06755
> print:  5 0.44185
> print:  6 -0.33835 ]
> print: 7
> print:  8 "entry-1" : [ -0.12305
> print:  9 -0.24085
> print:  10 0.31295 ]
> print: 11
> print:  12 "entry-2" : [ -0.0595
> print:  13 -0.2881
> print:  14 0.0597 ]
> print:  15 }
> print: 16
> print:  17 }
> print: 18
> 
> Or this without them:
> 
> print:  0 { "cols" : 3
> print:  1 "data" : { "entry-0" : [ -0.06755
> print:  2 0.44185
> print:  3 -0.33835 ]
> print:  4 "entry-1" : [ -0.12305
> print:  5 -0.24085
> print:  6 0.31295 ]
> print:  7 "entry-2" : [ -0.0595
> print:  8 -0.2881
> print:  9 0.0597 ] } }
> print: 10
> 
> which makes it a bit hard to read json files without some hacking, as all 
> those commas create a new line. Unless there is another method, is it better 
> to code your own json interpreter?
> 
> One advantage of [text] is that it can be used to declare data structures 
> directly - examples might be in my tutorial, I'm not sure anymore how far I 
> got with it.
> 
> Files are attached.
> 
> Joao
> 
>> 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 <[email protected]> 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
> 
> <json-test.pd><test.json>




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