topic "CoWork";
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[{_} 
[ {{10000@(113.42.0) [s0;%% [*@7;4 CoWork]]}}&]
[s3; &]
[s1;:CoWork`:`:class: [@(0.0.255)3 class][3 _][*3 CoWork]&]
[s9;%% This class is indented as loop`-parallelization tool. Whenever 
loop iterations are independent (they do not share any data), 
CoWork can be used to relatively easily spawn loop iterations 
over thread and thus over CPU cores. CoWork works with fixed`-size 
global thread pool, which is created during initialization phase 
(first CoWork constructor called). No more thread are created 
or destroyed during normal work. Nesting of CoWork instances 
is also possible. Of course, not only loop iterations can be 
parallelized, whenever there are two or more actions that can 
run in parallel, you can use CoWork.&]
[s9;%% Single`-threaded implementation simply performs all actions 
submitted by Do in sequence.&]
[s3;%% &]
[s0;%% &]
[ {{10000F(128)G(128)@1 [s0;%% [* Public Method List]]}}&]
[s4;H0; &]
[s5;:CoWork`:`:Do`(Callback`): [@(0.0.255) void]_[* Do]([_^Callback^ Callback]_[*@3 cb])&]
[s2;%% Adds [%-*@3 cb] to be performed by any thread.&]
[s3;%% &]
[s4; &]
[s5;:CoWork`:`:operator`&`(Callback`): [_^CoWork^ CoWork][@(0.0.255) `&]_[* operator`&]([_^Callback^ C
allback]_[*@3 cb])&]
[s2;%% Same as Do([%-*@3 cb].); return `*this;&]
[s3;%% &]
[s4; &]
[s5;:CoWork`:`:Finish`(`): [@(0.0.255) void]_[* Finish]()&]
[s2;%% Waits until all jobs submitted using Do (or operator`&) are 
finished.&]
[s3;%% &]
[s0;%% &]
[ {{10000F(128)G(128)@1 [s0;%% [* Destructor detail]]}}&]
[s3; &]
[s5;:CoWork`:`:`~CoWork`(`): [@(0.0.255) `~][* CoWork]()&]
[s2;%% Invokes Finish().&]
[s3; &]
[s0; ]