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Missing the number of replicas in performance estimate #578

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merged 5 commits into from May 27, 2022
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3 changes: 2 additions & 1 deletion openmmtools/multistate/multistatesampler.py
Expand Up @@ -1759,7 +1759,8 @@ def _update_timing(self, iteration_time, partial_total_time, run_initial_iterati
# TODO: use units for timing information to easily convert between seconds and days
# there are some mcmc_moves that have no timestep attribute, catch exception
try:
current_simulated_time = self.mcmc_moves[0].timestep * self._iteration * self.mcmc_moves[0].n_steps
current_simulated_time = self.mcmc_moves[0].timestep * self._iteration * self.mcmc_moves[0].n_steps * \
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Shouldn't we actually be summing over all mcmc_moves, in case there are multiple MCMCMove objects with dynamics involved, or appearing in different order?

And something still seems off here---do we want to use the estimate from average_seconds_per_iteration instead of the partial_total_time (which is the accumulated time since run() was started)?

self.n_replicas
except AttributeError:
current_simulated_time = 0.0 * unit.nanosecond # Hardcoding to 0 ns
performance = current_simulated_time.in_units_of(unit.nanosecond) / (partial_total_time / 86400)
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