There are seven stages to a MapReduce job: $-$

Job setup $-$ Load Split $-$ Map $-$ Copy $-$ Merge $-$ Reduce $-$ Write part

Consider a scenario where there are $2,000$ mapping tasks each with a duration of $10$ seconds which yield $100$ intermediate keys to the reducer tasks. Each mapping task requires $3$ seconds to access its load split. The reducer tasks have a duration of $20$ seconds. Each reducer requires $5$ seconds to write information to HDFS$.$ The job setup time is $50$ seconds and copy$/$merge stages have a duration of $120$ seconds. Assume the duration of the copy$/$merge stages does not depend on the number of reducers. Consider a cluster of $500$ workers. You can assume that the ApplicationMaster is not on one of the workers $($i$.$e$.,$ does not use one of the containers for itself$).$

Based on the information about the MapReduce job and the cluster described in the information above, what is the execution time of the load split and mapper tasks?