Pysot

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- Added the possibility to input the penalty for the penalty method in the GUI
- Added the possibility of making a performance plot using matplotlib that adds new points dynamically as evaluations are finished
- Switched from subprocess to subprocess32

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- Added a projection strategy

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- Added an example test_subprocess_files that shows how to use pySOT in case the objective function needs to read the input from a textfile

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- Updated the Tutorial to reflect the changes for the last few months
- Simplified the object creation from strings in the GUI by importing directly from the namespace.

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- Allowed to still import the rest of pySOT when PySide is not found. In this case, the GUI will be unavailable.

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- The capping can now take in a general transformation that is used to transform the function values. Default is median capping.
- The Genetic Algorithm now defaults to initialize the population using a symmetric latin hypercube design
- DYCORS uses the remaining evaluation budget to change the probabilities after a restart instead of using the total budget