Data Structures Optimisation

[jcus0006]

agents_dynamic (dict {int: dict}) -> {agentid: { properties below}}:

• working_schedule (dict {int: tuple(int, int)}) -> {day: (working_hour_from_timestep, working_hour_to_timestep)}
• itinerary (dict {int: tuple(int_enum), int)}) -> {timestep: (action, cellid)}
• itinerary_nextday (dict {int: tuple(int_enum), int)}) -> {timestep: (Action, cellid)}
• non_daily_activity_recurring (dict {int: int_enum}) -> {day: NonDailyActivity}
• prevday_non_daily_activity_recurring (dict {int: int_enum}) -> {day: NonDailyActivity}
• state_transition_by_day (multidimensional array of int [[int, int_enum, int]]) -> [[day, SEIRStateTransition, timestep]]
• test_day (array of int): [day, timestep]
• test_result_day (array of int): [day, timestep]
• hospitalisation_days (array of int): [startday, timestep, endday]
• quarantine_days (array of int): [startday, timestep, endday]
• vaccination_days: [[day, timestep]]

vars (class):

• cells_agents_timesteps (dict {int: [[int, int, int]]}) -> {cellid: [[agentid, start_timestep, end_timestep]]}
• directcontacts_by_simcelltype_by_day (multidimensional array of int [[int, int_enum, int, int, int, int]]) -> [[day, simcelltype, agent1_id, agent2_id, start_ts, end_ts]]
• dc_by_sct_by_day_agent1_index (multidimensional array of int [[int, int]]) -> [[agent1_id, index_in_directcontacts_by_simcelltype_by_day]] (note: this does not have to be passed to workers)
• dc_by_sct_by_day_agent2_index (multidimensional array of int [[int, int]]) -> [[agent2_id, index_in_directcontacts_by_simcelltype_by_day]] (note: this does not have to be passed to workers)
• contact_tracing_agent_ids (set of tuples of int {int, int}) -> {agent_id, start_timestep}
• agents_seir_state (array of int) -> [0, 1, 2, 3, 4, 5, 4, 3, 2, 1, ..... n-1 agent seir state] (note: 0 undefined, 1 susceptible, 2 exposed, 3 infectious, 4 recovered, 5 deceased)
• agent_seir_state_transition_for_day (dict {int: [int_enum, int_enum, int_enum, int_enum, int_enum, int_enum]}) -> {agent_id: [new_seir_state, old_seir_state, new_infection_type, new_infection_severity, seir_state_transition, new_state_timestep]}
• agents_infection_type {dict: int_enum} -> {agent_id: InfectionType}
• agents_infection_severity {dict: int_enum} -> {agent_id: InfectionSeverity}
• agents_vaccination_doses {dict: int} -> {agent_id: num_of_doses}