www.gusucode.com > bigdata 工具箱 matlab源码程序 > bigdata/+matlab/+bigdata/+internal/+lazyeval/countReductions.m
function count = countReductions(partitionedArray) %countReductions - Count all reductions necessary to calculate the given value. % COUNT = countReductions(PA) counts all reductions for partitioned array PA. % Copyright 2015-2016 The MathWorks, Inc. if partitionedArray.ValueFuture.IsDone count = 0; else % Run the optimizer first. op = matlab.bigdata.internal.Optimizer.default(); op.optimize(partitionedArray); % TODO(g1324108): This is simply using the same logic as % LazyPartitionedArray to access the Executor. This should in fact % be going through the PartitionedArray API. closure = partitionedArray.ValueFuture.Promise.Closure; executor = matlab.bigdata.internal.executor.PartitionedArrayExecutor.default(); taskGraph = matlab.bigdata.internal.lazyeval.LazyTaskGraph(closure); count = executor.countNumPasses(taskGraph); end end