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Minimal reprex. First, we generate a bunch of data:
library(simmer) traj <- trajectory() %>% timeout(1) env <- simmer() %>% add_generator("asdfasdfasdf", traj, function() rexp(100, 1)) %>% run(1e7)
We can see that the R session takes up now more than 1 GB. Two problems arise:
rm
The text was updated successfully, but these errors were encountered:
#99 fixes 1. Related to 2: tidyverse/magrittr#146
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Minimal reprex. First, we generate a bunch of data:
We can see that the R session takes up now more than 1 GB. Two problems arise:
rm
ing the environment seems not to finalise the internal objects.The text was updated successfully, but these errors were encountered: