multierlang.py -> input / output alignment

[michaelmarzec]

Is your feature request related to a problem? Please describe.

• Hi Rodrigo - I am curious if there's a method to print/generate the inputs with their corresponding outputs when running the MultiErlangC.required_positions? If not, I think this could be a useful feature.

Describe the solution you'd like

• Add to the MultiErlangC : required_positions_grid dict output a key that indicates which input values the outputs correspond to. Using the repo's example, the position_requirements output is currently:

positions_requirements: [{'raw_positions': 13, 'positions': 19, 'service_level': 0.7955947884177831, 'occupancy': 0.7692307692307693, 'waiting_probability': 0.285270453036493}, {'raw_positions': 14, 'positions': 20, 'service_level': 0.8883500191794669, 'occupancy': 0.7142857142857143, 'waiting_probability': 0.1741319335950498}, {'raw_positions': 15, 'positions': 22, 'service_level': 0.9414528428690223, 'occupancy': 0.6666666666666666, 'waiting_probability': 0.10204236700798798}]

If you update the first entry, it could look something like ...
positions_requirements: [{"transactions": 100, "aht": 3, "interval": 30, "asa": .33, "shrinkage": 0.3, 'raw_positions': 13, 'positions': 19, 'service_level': 0.7955947884177831, 'occupancy': 0.7692307692307693, 'waiting_probability': 0.285270453036493} ...

Describe alternatives you've considered

• I have not tested any new solutoins, but I understand that it's currently a systematically ordered output. If converted to a pandas dataframe, I am considering appending columns that represent the input.

Additional context

• N/A -> thanks for the awesome solution!