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Performance improvement: batched generation #65

Enchufa2 opened this Issue Jun 15, 2016 · 2 comments


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Enchufa2 commented Jun 15, 2016

Until now, generators expect one interarrival value at a time in order to generate one arrival at a time. But it's perfectly possible (and more performant) to receive n interarrival values to generate n arrivals at a time. So instead of

add_generator("dummy", trajectory, function() rexp(1, 2))

it would be possible to do the following:

add_generator("dummy", trajectory, function() rexp(100, 2))

As a consequence, convenience functions could be improved. For instance, at could return all the values in one shot.

Finally, as a collateral benefit, if we want to generate arrivals following some distribution, but in rows of n, we would be able to do the following:

add_generator("dummy", trajectory, function() c(rexp(1, 2), rep(0, n-1)))

@Enchufa2 Enchufa2 added this to the v3.3.0 milestone Jun 15, 2016

@Enchufa2 Enchufa2 closed this in 6c23ff5 Jun 15, 2016

@Enchufa2 Enchufa2 referenced this issue Jun 18, 2016


New vignettes #29

9 of 12 tasks complete

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nacnudus commented Jun 28, 2016

This broke the hacky code I'd used in the Bank vignette (which I'm only just writing now, sorry).

customer <- 
  create_trajectory("Customer's path") %>%
  timeout(every(10, 7, 20))

which sets specific timeouts for three specific customers. Admittedly that's not a compelling use case. Is there an alternative to copying the original every code that created a function, i.e.

every <- function(...) {
    time_diffs <- c(...)
    i <- 0
    function() {        
      if (i < length(time_diffs)) {     
        i <<- i+1       
      } else {      
        i <<- 1     

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Enchufa2 commented Jun 29, 2016

There is no alternative, sorry. every is deprecated and will be removed from the next release.

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