HF RL Explorer

I want a mystic.math.measures.impose expected mean and variance(param: tuple float, float , f…

I want a mystic.math.measures.impose expected mean and variance(param: tuple float, float , f…: a task in MiMo-V2.6-RL-harbor-code: MiMo-V2.6-RL Code (Harbor) (Harbor dataset). For example, with def f(x): return x 0 , param=(1.0, 0.25) , npts=(2,) , bounds=( 0.0, 0.0 , 2.0, 2.0 ) , weights= 0.5…

The task

For example, with `def f(x): return x[0]`, `param=(1.0, 0.25)`, `npts=(2,)`, `bounds=([0.0, 0.0], [2.0, 2.0])`, `weights=[0.5, 0.5]`, and `tol=0.05`, the return value should be a two-element list of one-dimensional sample positions inside the bounds such that `expectation(f, samples, weights)` is within `0.05` of…

Part of FineEnvs/MiMo-V2.6-RL-harbor-code.