https://developer.apple.com/design/human-interface-guidelines/macos/indicators/progress-indicators/

The memtrace* sample clients use drutil_expand_rep_string, but the instrace* ones do not. This can confuse users: https://groups.google.com/g/dynamorio-users/c/HR4pX6lwP_I

Currently, the architecture of the CLI is based on (sub)commands and options. Commands are expected to be provided as the first argument, and do effectively decide which feature is to be used. OTOH, options provide parameters to the commands. However, there is no syntactical difference, as both commands and options start with -- or -i. As a result, we rely on properly formating --help and on

Hi, I got a problem similar to #804.

My bridge did not connect correctly.
I have followed the latest tutorial and build Apollo successfully today.
My apollo did not connect in the following step.

Launch bridge (inside docker container):
./scripts/bridge.sh

I would need to add sudo in order to start my bridge.sh.
After adding that, there was no information print out from the terminal.

🚀 Feature

We have been using our depth noise models to benchmark SLAM systems as well as doing sim-to-real perception with neural networks. They are more realistic and you may find them useful too

Here is the code https://github.com/ankurhanda/simkinect and it has examples on how to use them.

Motivation

Better nois

Python users are used to using getters and setters to access properties of objects.
See for example #1687.
Such getters and setters are not implemented in the Webots Python API.
They could be easily added. See https://www.geeksforgeeks.org/getter-and-setter-in-python for reference.

Sample code

Please checkout how the sample test cases in:

• https://github.com/mithi/hexapod-robot-simulator/tree/master/tests

References

Get started with testing python

• https://realpython.com/python-testing/

Write Professional Unit Tests in Python

• https://code.tutsplus.com/tutorials/write-professional-unit-tests-in-python--cms-25835

Web Automation Tests with Selenium

🚀 Feature

The current gym version used in Habitat Lab is pretty old v0.10x. It'd be good to upgrade it to the latest version v0.17.

Motivation

One of the motivations was to be able to use something like Stable-Baselines 3 (https://github.com/DLR-RM/stable-baselines3) to run various RL algorithms and it assumes the latest Gym interface.