Basic functionality for partitioning modes evenly and randomly is working.
Added script for initializing classification dimensions (as a list of mode boundaries).  These dimensions will be reused by classifications defined in a different database table (not yet written).  Both even and random dimensions are supported.  Basic constants for the entire system -- applicable to every model and governing my research, are designed in the highest level CTPy init.py file now.  Database tables are also now separated into different databases -- one for "configuration", one for raw simulation samples and output, one for classification-identified samples (post-processed).  Eventually I'll add databases to hold time averaged samples, and time averaged and classified samples.  This kind of partition allows me to separate what VMs or machines they're on without getting into sharding etc.