add lick statistics to trial by trial metrics

Migrate from process_nwb.py, but need to assign df_licks (maybe df_events) based on gocue to gocue time, not start/stop time

- [ ] n_licks_left (# of left licks in response window)
- [ ] n_licks_left_total (# of left licks from goCue to next go cue)
- [ ] n_licks_right
- [ ] n_licks_right_total
- [ ] n_licks
- [ ] n_licks_total
- [ ] n_intertrial_choices (how many licking bouts other than cue response)
- [ ] n_intertrial_switches (how many intertrial choices are switches)
- [ ] choice_repeat (True if cue response was repeat, False if switch)
- [ ] trial duration (stop-time - start-time)
- [ ] more here (https://github.com/AllenNeuralDynamics/aind-foraging-behavior-bonsai-basic/blob/5bd0db90bf9182a969bcb3c52af77c8bb9a36f19/code/process_nwbs.py#L87-L93)