this dataset gives memroy problems, we will replace it with  more efficient way of storing the KG matrix

rename *PlatForm to *Platform

renamed class names Ct- to CO2-
changed class name Observation to Observations 
small cleanup changes to template.py

in sv.write_to_file modified the prior/optimized identifier in function call to be prior/opt text instead of True/False

changed the function calls in order to remove need of sth.DaCycle = DaCycle in start_job. achieved by adding DaCycle to particular function calls and initializing tm5 with DaCycle as call parameter

added the get_covariance generic function to the sv baseclass

write_members_to_file: is called with _lag_ instead of lag +1, as inside there was a "lag-1" call... that one removed from inside as well

write_sample_info changed to take the whole path as a parameter: so now we explicitly see the path in pipeline, plus we don't need to return it back.
same for write_obs_to_file

managed imports in obs files

removed a need of using samples.DaCycle=DaCycle (now it is only passed in the "initialize" function)

removed StateVector.isOptimized and replaced with an "optimized" parameter in StateVector.write_to_file call

in obs and obspack_geocarbon adding some parameters to function calls

removed "oldstyle" and "newstyle" checkings from write_obs_to_file (it was added for debugging purposes at some point...)

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Changed expand_mixingratios to allow R and HPHR to be either matrix or vector depending on algorithm choice (serial or bulk).

Changed R and HPHR matrices to vectors for serial minimum least squares algorithm in optimizer to save memory (the routines needed only vectors). For the bulk algorithm this is not possible, so nothing was changed for that option.