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#to make the final table, I changed manually the n size every trial by: 1e3, 1e4, 1e5, 1e6, 1e7. Then I also chnaged the benchmark object 'res' | |
n <- 1e7 | |
set.seed(51) | |
process <- data.frame(id=sample(100, n, rep=T), x=rnorm(n), y=runif(n), z=rpois(n, 1) pexp(2, rate=1/3) ) | |
all <- multicore:::detectCores(all.tests=TRUE) | |
if(!require(rbenchmark)){ | |
install.packages("rbenchmark") | |
} else{ |
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# -*- coding: utf-8 -*- | |
""" | |
This script is forked originally from Dave Jeffery. The original implementation | |
was very slow and deleted around 2 tweets per second. Making it multithreaded I | |
am able to delete 30-50 tweets per second. | |
@author: vik-y | |
---------------------------------------------------------------------------- | |
This script will delete all of the tweets in the specified account. |