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This commit will allow the basic CTDAS code to run, using baseclasses obs.py, observationoperator.py, pipeline.py, and optimizer.py.

The observations created now are a simple list of 10 values, which get added a random white noise by the obs operator.

Next challenge is to also bring in statevector.py from the baseclass as well, without dependencies on external files.

We changed the master project to once again run the random observation operator in python 3, using the gridded statevector and the ObsPack GlobalViewplus2 on capegrim. Next to do is to make this project also run without the specific parts but instead with baseclasses, and to program something that allows different templates on different machines.

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Added option to transition from 25 to 34 layers for OD meteo after December 2005. Added option to read initial random seed from file. Localization method is now read in from rc file. Changed terminology of mixing ratio to mole fraction.

DaSystem
DaPlatform
ObservationOperator

are now handled before the pipeline, from the das.py contents. This replaces the situation in which they were all 
constructed inside the pipeline based on rc-file items from the da.rc script. This now only serves to identify the 
cycle information, and no longer hold info about the platform, sampling model, and da system used inside a cycle.