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Bumps [scipy](https://github.com/scipy/scipy) from 1.2.1 to 1.10.0. Release notes Sourced from scipy's releases. SciPy 1.10.0 Release Notes SciPy 1.10.0 is the culmination of 6 months of hard work. It contains many...

dependencies

Bumps [joblib](https://github.com/joblib/joblib) from 0.13.1 to 1.2.0. Changelog Sourced from joblib's changelog. Release 1.2.0 Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported....

dependencies

Bumps [numpy](https://github.com/numpy/numpy) from 1.16.2 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependencies

lim for x->0 of sinh(x)/x = 1 (and not 0).

Hi, Am I correct in understanding that hmds-simple.jl using the -k argument implements the h-MDS algorithm 2 of section 4 of the paper? I'm running into some difficulty using this...

I noticed that you can get substantial training speedups by adding eg. `num_workers=8` here: https://github.com/HazyResearch/hyperbolics/blob/master/pytorch/pytorch_hyperbolic.py#L279 I haven't had a chance to test whether this is valid on the other 3...

Thanks for this, could you add the license?