awulkiew / graphical-debugging-vscode Goto Github PK

In context of contour operations especially union and intersect it is often valuable to know in which direction contours are described.

Would I be able to put together a JSON file to provide Java support?

it would be nice to have support for allocated memory chunks and have them displayed like in MSVC debugger, for example
ptr, 1024

with float *ptr this will be the same as an array ptr[1024].

In order to make it easier to understand the shape of geometry (especially ellipses and long rectangles) it would be very helpful to scale x and y axes the same.

I have added boost.json to my workspace with the following content,

{
    "name": "graphicaldebugging",
    "language": "cpp",
    "aliases": [
        {
            "name": "bg_types::Point",
            "type": "boost::geometry::model::point<double,2,boost::geometry::cs::cartesian>"
        },
        {
            "name": "bg_types::Polygon",
            "type": "boost::geometry::model::polygon<boost::geometry::model::point<double,2,boost::geometry::cs::cartesian>,true,true,std::vector,std::vector,std::allocator,std::allocator>"
        }
    ]
}

But that doesn't seem to be working. Does *.json file need to have any specific name?

well, title says it all: after hitting a break-point it takes at least half a minute until the results are displayed

I want to write a self configuration json file.
Here is the c++ code:
struct Point{
int x;
int y;
};
using ring = std::vector;

How can I write the correct json?

Hi,

First of all thanks a lot for the work you put into this extension. It's really helpful !

I've been trying to add support for Eigen::TensorFixedSize class (amongst other ones).
Here is a screenshot of a variable I'm trying to draw :

To catch this type I added this entry in a graphicaldebugging.json file :

{
  "name": "graphicaldebugging",
  "language": "cpp",
  "types": [
    {
      "type": "Eigen::TensorFixedSize<.+>",
      "kind": "container",
      "array": {
        "start": "$this.m_storage.m_data",
        "size": "$this.m_storage.Size"
      }
    }
  ]
}

I deduced the start and size field values from the debugger panel :

Yet the type remains unknown.

PS : is there a way to enable a debug console log for the extension ? This would be helpful to identify what I'm missing

This is an amazing extension and it works out of the box for many of my team's use cases--greatly enhanced our productivity! I have a quick question: is it possible to add support to VS Code Jupyter Notebook Debugger? Currently when trying to do so, the Graphical Watch panel would show the type of geometry, followed by "unknown" (even though the geometry is clearly valid), and the Graphical Watch display shows nothing.

Seems like Jupyter Notebook VS Code debugger requires some additional installation https://github.com/microsoft/vscode-jupyter/wiki/Setting-Up-Run-by-Line-and-Debugging-for-Notebooks

If you can point me to possibly where the issue might be, I can attempt to open a PR myself?

From the documentation, it looks like this tool works for boost geometry types. I wondering if we can get this to visualize custom geometry types. At the moment, I am working with AlignedBox from Eigen Geometry library. Any suggestions about visualizing this would be greatly appreciated.

The graphical-debugger addon is just want I am looking for, ..
but when I use it with Cortex-Debug (ARM Cortec-M GDB Debugger),
I cannot get it to load and show variables, when I make a breakpoint.
Not even a simple Int array ?

Using with an other debugger it works OK.

Any hints or fix ?

ssma

Hello,

This extension is one of a kind.
Looking through the supported types in Python I saw that it was missing Numpy arrays.
It would be very nice to see support for this in the future, if guided to the correct spot I might be able to help with this.

Kind regards,
Caspar