Asish Kumar

where can i get that kubeconfig file @flystarts

Is there any slack or element channel?

Is this issue resolved?

After going through the memory profiler, here are the functions/lines which are taking most memory and the possible optimizations that we can use: 1. [montecarlo_main_loop](https://github.com/tardis-sn/tardis/blob/39c128afa1be54ed2dac3fdf11e098a87b432b37/tardis/montecarlo/montecarlo_numba/base.py#L31): This function itself takes more...

Update: Added screenshots, html and replaced jupyter notebook with python code. cc: @andrewfullard @atharva-2001 @AlexHls

> Great! Can you describe what scalene does differently to memray? 1. Shows the copies made in that function 2. Shows the entire memory timeline of every function which consumes...

Same issue. Trying to run `pytest tardis/montecarlo/montecarlo_numba/tests/test_cuda_formal_integral.py::test_full_formal_integral `

are there any pre tasks?