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To see which versions are available, see the listing on the page. The best way to test each version is to run the program while also extracting PARSEC 3.0 Core. The file predictor.csv is a list which tells the program how much time it should spend on activity.

After running the main program, the program asks you for the name of the CSV file which can be used as input. If a benchmark is available for the currently selected version, it can easily be added to the CSV file with the program's editor. Please select CSV files in graph mode with the second reply button. The program then shows the results to the screen and tabulates statistics for each benchmark. Statistics for each benchmark include the name of the benchmark, the score, the name of the version from which the data was generated, the name of the python virtual environment, the previous score for the benchmark, the elapsed time, the duration of the activity that was prepared by the extraction program, the elapsed time of the predictors (where relevant), the elapsed time of the batching (where relevant), and the source of the data. After the data has been summarized, the program proceeds to analyze the graph and prints a detailed table.

When you set the program to produce the "raw" output and followed the instructions, it should have saved the obtained data into the CSV file which is available for download. The file can also be found in the same directory as the report.psv file that the program creates.

From the generated report, you can see where the reported hours 32.527 / 72.714 correspond to and from where they came. If you compare this figure with the one given in the CSV file, you can see that the processing time (where the program lost most of the time) corresponds to the minutes and seconds of the Python virtual environment. This makes sense because the program generates the input files for PARSEC and does not work in a separate environment.

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