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Params: construct a unified Parameters/Defaults scheme

    - add Params classes and associated methods
    - add tests for parameters

    Features of parameters:
        - are stored as objects in class or instance attribute 'parameters'
        - allow storage and retrieval of values separated by execution context
        - allow logging of set values (separated by execution context) based on
        LogConditions
        - automatically track previous values up to specified length
        - allow getters/setters for more advanced behavior
        - allow inheritance of default values along PNL object hierarchies
        - allow automatic validation and parsing with stubs, simply add methods
        to a Params class definition
            - _validate_<param name>
            - _parse_<param_name>
        - default values are integrated with class and instance defaults
        - have several attributes that classify them or affect their function
        	- stateful: whether the parameter has different values based on
            different execution_contexts;
           	- modulable: whether the parameter can be modulated or not (by
            Learning, Control, Gating)
           	- read_only: whether the user should be able to set the value or not
            (e.g. variable and value are just for informational purposes)
           	- aliases: other names by which the parameter goes (e.g. allocation
            is the same as variable for ControlSignal)
           	- user: whether the parameter is something the user will care about
            (e.g. NOT context)
           	- loggable: whether the values of this parameter can be logged

    DEPRECATION:
	- ClassDefaults now becomes .class_defaults on instance and .defaults on
	   classes
   	- instance_defaults now becomes .defaults on instances

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