New functionality, improved documentation, and a few breaking changes (hopefully for the better) to the API. Major new functionality includes convective adjustment to the moist adiabat, and moist EBMs with diffusion on moist static energy gradients. climlab.convection.ConvectiveAdjustement now allows non-constant critical lapse rates, stored in input parameter adj_lapse_rate. New switches to implement automatic adjustment to dry and moist adiabats (pseudoadiabat) climlab.EBM() and its daughter classes are significantly reorganized to better respect CLIMLAB principles: - Essentially all the computations are done by subprocesses - SW radiation is now handled by ``climlab.radiation.SimpleAbsorbedShortwave`` class - Diffusion and its diagnostics now handled by ``climlab.dynamics.MeridionalHeatDiffusion`` class. - Diffusivity can be altered at any time by the user, e.g. during timestepping - Diffusivity input value ``K`` in class ``climlab.dynamics.MeridionalDiffusion`` is now specified in physical units of m2/s instead of (1/s). This is consistent with its parent class ``climlab.dynamics.Diffusion``. A new class climlab.dynamics.MeridionalMoistDiffusion for the moist EBM (diffusion down moist static energy gradient) Tests that require compiled code are now marked with pytest.mark.compiled for easy exclusion during local development Under-the-hood changes include Internal changes to the timestepping; the compute() method of every subprocess is now called explicitly. Process.compute() now always returns tendency dictionaries