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@@ -260,6 +260,8 @@ You can enable a wagon in the _My Analyses_ page. Inside of the _Analysis_ there
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* If you only want to see the top 10 graph with the highest average, check the Show top 10 largest box.
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* To produce this type of performance graphs for a local O2 execution, follow the instructions [here](#producing-performance-graphs-for-a-local-o2-execution).
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* Whenever a wagon configuration is changed, if there are enabled wagons (including wagons that depend on it), then the test is automatically reset and a new test is launched. However, if the enabled wagon was already composed in a train, the train will run with the wagons and dataset configuration of the time at which the train was created.
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<imgsrc="../images/graphZoom2.png"width="70%">
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* To produce this type of performance graphs for a local O2 execution, follow the instructions [here](#producing-performance-graphs-for-a-local-o2-execution).
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* <aname="trainsubmittedjobs"></a>In _Submitted jobs_, you can see the summary of the master jobs, along with links to the **IO Statistics** and **Stack trace**.
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## <aname="localO2execution"></a>Producing performance graphs for a local O2 execution
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**Performance Graphs** page allows the user to upload his own local metrics file, and then generate the test graphs specific to that file. You produce a local _performanceMetrics.json_ by running the o2 workflow with the argument _--resources-monitoring 2_ which, in this example, produces monitoring information every 2 seconds. These are the same type of graphs produced in the _Test Graphs_ tab of the train run. This page can be accessed at: <https://alimonitor.cern.ch/hyperloop/performance-graphs>.
## <aname="local-train"></a>Reproducing a train run on a local machine
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A train test or a Grid train run can be redone on a local machine. This is useful to understand a problem better or to just reproduce some settings of a previous train.
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