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Counting events that occur in some time intervals

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0 $begingroup$ I have a python code where I need to count the number of ids in a given range of timestamps as : id_number= for i in range(numbers): indices=numpy.argwhere((a[i] >= dataset[:,0]) & (a[i] <= dataset[:,1])) id_number.append(len(set(dataset[indices[:,0],2]))) Here, numbers is an integer indicating the length of the array ( a ) that has timestamps. dataset[:,0] and dataset[:,1] has starting and ending ranges for timestamps and I have to compute the unique ids for a timestamp from the dataset. The issue is: it is taking approx 0.7 seconds for one loop iteration making it run for about 5 days based on the length of a. Is there a way to optimize this code, for it to complete early. python time-limit-exceeded numpy ...

SABnzbdplus will not start on boot but running the init.d script runs fine

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9 0 I am running the Ubuntu 12.04 server edition (static LAN IP) and was tying to install SABnzbdplus using the apt as per instructions here: Ubuntu PPA Repository Installation has gone smoothly and the server downloads etc no problem! The problem is that I have edited /etc/default/sabnzbdplus as the directions provided to: # This file is sourced by /etc/init.d/sabnzbdplus # # When SABnzbd+ is started using the init script, the # --daemon option is always used, and the program is # started under the account of $USER, as set below. # # Each setting is marked either "required" or "optional"; # leaving any required setting unconfigured will cause # the service to not start. # [required] user or uid of account to run the program as: USER=omar # [optional] full path to the configuration f...