TODO

MAJOR PROJECTS
- Setup the concept of genomes throughout MABE with a comprehensive interface.
- Setup Organisms to be built from arbitrary brains and geneomes.
- Setup Web interface (for both graphical config and doing runs)
- Update config files in many ways, but especially:
    * Handling array types.
    * Allowing for mathematical expressions to be calculated at run-time based
      on current values.
    * Come up with a clean way to distinguish whether identifiers are config
      variables, organism traits, and population traits.
    * Printing longer (multi-line) comments.
- Setup organisms that need to be processed and ideally even processed
  asynchronusly and interactively.

- FIX evaluation system.  Instead of being limited to an evaluation phase,
  evaluator modules should be able to indicate on a trait that if it is needed
  to call them.  Ideally with a caching option as well...  For computationally
  intensive evaluations, this will allow them to only be called when needed.



== NEW VERSION OF MABEScript ==

Key ideas:
- All modules are written in MABEScript
- MABEScript can either be compiled to C++ (for compute speed) or interpreted (for ease)
- Modules will have a main function associated with them.
  For example, and instance the EliteSelect module 'elite_select' will can be called as
  elite_select(main_pop, 10) and would return the 10 selected individuals.
- Member function calls are interchangeable with stand-alone function that have type as first argument.

== Signals ==
Signals will be easy to name and to provide relevant information.
By default signals will only trigger modules listening to a particular population.

Signals are triggered with the "trigger" keyword.  For example:
  trigger "BeforeDeath" (position=target_org.GetPosition());

Modules specify what trigger names they are paying attention to.
  on "BeforeDeath" { ... actions that can use "position" as an input variable ... }

== Labels ==
Each module / function / config parameter works with labels in "name: value" format.

  desc: is used for the description.
  type: specified the type name something resolves to.
  default: gives a default value.
  min_value: sets a lower limit, below which an out-of-range error should occur.
  max_value: sets an upper limit, above which an out-of-range error should occur.
  min_adjust: a soft lower limit that will adjust automatically without error.
  max_adjust: a soft upper limit that will adjust automatically without error.

Any other labels are allowed.  They are const Datum type (strings or values that can't be changed)

== Types ==
Built in types should include:
- Int (must be a numeric integer value) (Do we need more specifics for compilation to C++?)
- UInt
- Float
- Char
- Bool

- String
- BitSet

- TraitEquation:
    automatically assumes all traits used are "required"
    if treated as a function, converts to the resulting value
    requires all traits are convertible to Float (unless a more restrictive "convert_to:" is set)
- TraitSet:
    automatically assumes all traits used are "required"
    if "convert_to:" is specified, limits the traits allowed
    .Insert(...) add the organism or organisms provided to this set.
    .Remove(...) remove the organism or organisms provided from this set.

- Organism
- Population: A natural grouping of organisms.
   .Size()
   .FindMax(trait_fun, count=1)
   .FindMin(trait_fun, count=1)
   .Weights(trait_fun) use function to place orgs in a WeightedSet (OrgWeights) object
   .At(position) return the organism at the specified position
   .Alive() return an OrgSet of the living orgs in the population 
   .TraitValues(String trait_name)
      return a vector of trait values corresponding to population position
   .TraitValues(TraitSet trait_set)
      return a 2D matrix of trait values; row = trait ID, col = population position
   .SelectSet(count) build a random OrgSet of the desired size (no replacement)
   .SelectList(count) build a random OrgList of the desired size (with replacement)
   .GenerateOutput()
- OrgSet: A set of organisms (by position); no duplicates or ordering
   Same member functions as Population.
- OrgList: A list of organisms in order, potentially with repeats
   Same member functions as Population.
   .Resize(new_size)  - New orgs are empty of new size > old size
- OrgWeights: A map of organisms to weight levels
   .SelectSet(count) - select count orgs with proper weights (no duplications)
   .SelectList(count) - select count independent organisms from container with weights

== Keywords ==

`if`
`foreach`
`function` - about to define a new function.
`in` - with `foreach`, specifies container.  with `if`, tests inclusion
`mutable` - vars are const unless preceded by this keyword
`return`
`while`

`config`
`module`
`trait`

== Built-in functions ==

Random(...) - Generate a random value.
  no args: Float in range 0.0 to 1.0
  one arg: Must be numerical type; output same type, from 0 to value
  two args (min / max): Must be numerical type; output common type, from min to max

Range(...)
  one arg: generate Int[] or UInt[] (depending on arg) from 0 to target value (exclusive)
  two args: generate array from min to max in steps of 1 (or 1.0) in common type
  three args: Generate array using min,step,max in common type