def run(self, <EOL>ipyclient=None,<EOL>):
self.results_table, self.results_boots = batch(self, ipyclient)<EOL>if not isinstance(self.results_table, list):<EOL><INDENT>self.results_table.nloci = np.nan_to_num(self.results_table.nloci).astype(int)<EOL><DEDENT>
Run a batch of dstat tests on a list of tests, where each test is 
a dictionary mapping sample names to {p1 - p4} (and sometimes p5). 
Parameters modifying the behavior of the run, such as the number
of bootstrap replicates (nboots) or the minimum coverage for 
loci (mincov) can be set in {object}.params.

Parameters:
-----------
ipyclient (ipyparallel.Client object):
    An ipyparallel client object to distribute jobs to a cluster.