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bring back antibiogram()
, without deps
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@ -126,7 +126,7 @@ run_it <- microbenchmark(mo_name(x),
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print(run_it, unit = "ms", signif = 3)
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```
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So getting official taxonomic names of `r format(length(x), big.mark = ",")` (!!) items consisting of `r n_distinct(x)` unique values only takes `r round(median(run_it$time, na.rm = TRUE) / 1e9, 3)` seconds. That is `r round(median(run_it$time, na.rm = TRUE) / length(x), 0)` nanoseconds on average. You only lose time on your unique input values.
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So getting official taxonomic names of `r format(length(x), big.mark = " ")` (!!) items consisting of `r n_distinct(x)` unique values only takes `r round(median(run_it$time, na.rm = TRUE) / 1e9, 3)` seconds. That is `r round(median(run_it$time, na.rm = TRUE) / length(x), 0)` nanoseconds on average. You only lose time on your unique input values.
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### Precalculated results
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