Sean M. Law

> The way to suppress it (if it is possible) will depend on your OpenMP implementation (e.g. setting the environment variable `KMP_WARNINGS=0` or somehow calling `kmp_set_warnings_off()` for Intel OpenMP). Does...

> This does make sense. I think one workaround could be not to use the OpenMP backend - you could set the backend using the options documented at https://numba.readthedocs.io/en/latest/reference/envvars.html#threading-control. Thank...

Ohh, does this mean that this warning is coming from the CPP layer and therefore we can't catch/filter it in the Python layer? At the end of the day, I'm...

> Ohh, does this mean that this warning is coming from the CPP layer and therefore we can't catch/filter it in the Python layer? At the end of the day,...

@NimaSarajpoor Instead of running `test.sh`, can you simply run this in a Jupyter notebook: ``` m = 3 zone = int(np.ceil(m / 4)) seed = 1 np.random.seed(seed) T = np.random.rand(64)...

> I got a different result: I have a few observations: 1. For testing `stump`, should we really be setting `row_wise=True` in `naive.stump`? Since `stump` is diagonal-wise, shouldn't we set...

> from naive.stump or stumpy.stump? Because, the value you provided for idx=12 is 0.0, which is not the same as what you provided earlier: 12 2.950287948697726e-05 0.0 (I think the...

> in the meantime, could you please remove @njit decorator from stump and provide me with the results of: After commenting out `@njit` for `_stump` and `_compute_diagonal`, I got: ```...

> I think they are the same. So, as you suggested, this matter is related to `stumpy.stump` The good thing is that we've isolated to the `idx=12` and `idx=42` pair....

> Could you please let me know what is the nn of 12 in your stumpy.stump? (I think you are using Mac. right?) When I do: ``` comp_mp[12] ``` I...