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environment.py
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environment.py
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import math
import random
from scipy import spatial
from simulator.constants.keys import nindividual_key, store_per_house_key, nb_1d_block_key, store_nb_choice_key, \
transport_contact_cap_key, IH_K, HI_K, IAD_K, IAG_K, IW_K, WI_K, HA_K, HS_K, ITI_K, HB_K, IBE_K, IDEA_K, IHOS_K, \
IS_K, SI_K
from simulator.constants.parameters import TPE_MAX_EMPLOYEES, PME_MAX_EMPLOYEES, GE_MAX_EMPLOYEES, covid_mortality_rate, \
covid_hospitalization_rate
from simulator.constants.parameters import age_dist_adults_cs, age_dist_adults, \
age_dist_children, age_dist_children_cs
from simulator.helper.utils import invert_map, get_r, get_center_squized_random, rec_get_manhattan_walk, \
invert_map_list, \
get_random_sample, get_clipped_gaussian_number
def get_environment_simulation(params_arg):
number_of_individuals_arg = params_arg[nindividual_key]
number_store_per_house_arg = params_arg[store_per_house_key]
nb_1d_block_arg = params_arg[nb_1d_block_key]
nb_store_choice = params_arg[store_nb_choice_key]
transportation_cap = params_arg[transport_contact_cap_key]
indiv_house = build_individual_houses_map(number_of_individuals_arg)
house_indiv = build_house_individual_map(indiv_house)
indiv_adult = build_individual_adult_map(indiv_house)
indiv_age = build_individual_age_map(indiv_house)
indiv_death_rate = build_individual_death_rate_map(indiv_age)
indiv_hos_rate = build_individual_hospitalization_map(indiv_age)
indiv_workplace = build_individual_work_map(indiv_adult)
workplace_indiv = build_workplace_individual_map(indiv_workplace)
house_adult = build_house_adult_map(indiv_house, indiv_adult)
geo_house = build_geo_positions_house(len(house_indiv))
geo_workplace = build_geo_positions_workplace(len(workplace_indiv))
geo_store = build_geo_positions_store(int(len(house_indiv) / number_store_per_house_arg))
house_store = build_house_store_map(geo_store, geo_house, nb_store_choice)
indiv_store = build_individual_store_map(indiv_house, house_store)
store_indiv = build_store_individual_map(indiv_store)
house_block = build_block_assignment(geo_house, nb_1d_block_arg)
workplace_block = build_block_assignment(geo_workplace, nb_1d_block_arg)
indiv_behavior = build_1d_item_behavior(number_of_individuals_arg)
indiv_transport_block = build_individual_workblock_map(indiv_house, indiv_workplace, house_block, workplace_block)
transport_block_indiv = build_workblock_individual_map(indiv_transport_block)
indiv_transport_indiv = build_individual_individual_transport_map(indiv_transport_block, transport_block_indiv,
transportation_cap)
return {
IH_K: indiv_house,
HI_K: house_indiv,
IAD_K: indiv_adult,
IAG_K: indiv_age,
IDEA_K: indiv_death_rate,
IHOS_K: indiv_hos_rate,
IW_K: indiv_workplace,
WI_K: workplace_indiv,
HA_K: house_adult,
HS_K: house_store,
IS_K: indiv_store,
SI_K: store_indiv,
ITI_K: indiv_transport_indiv,
HB_K: house_block,
IBE_K: indiv_behavior
}
def build_individual_houses_map(number_individual_arg):
# Individual -> House
all_ind_hou = {}
i_hou = 0
i_ind = 0
while i_ind < number_individual_arg:
family_members = get_moroccan_household_distribution()
individulas = list(range(i_ind, i_ind+family_members))
index_house = [i_hou]*family_members
one_house = dict(zip(individulas, index_house))
all_ind_hou.update(one_house)
i_ind = i_ind+family_members
i_hou += 1
# eliminate side effects
for i in range((len(all_ind_hou)-1), number_individual_arg-1, -1):
del all_ind_hou[i]
return all_ind_hou
def build_house_individual_map(individual_house_map_arg):
# House -> List of individuals
return invert_map(individual_house_map_arg)
def build_individual_adult_map(individual_house_map_arg):
all_ind_adu = {0: 1} # We track who is adult to further affect a work
incr_ind = 1
i_ind = 1
while i_ind < len(individual_house_map_arg):
if individual_house_map_arg[i_ind] != individual_house_map_arg[i_ind-1]: # We have a new house
incr_ind = 0
# First two persons in a house are adults since children cannot live alone
# Could be extended to monoparental families but anyway ...
if incr_ind < 2:
all_ind_adu[i_ind] = 1
else:
all_ind_adu[i_ind] = 0
incr_ind = incr_ind + 1
i_ind = i_ind + 1
return all_ind_adu
def build_individual_age_map(individual_house_map_arg):
all_ind_age = {0: pick_age(is_child=False)}
incr_ind = 1
i_ind = 1
while i_ind < len(individual_house_map_arg):
if individual_house_map_arg[i_ind] != individual_house_map_arg[i_ind-1]: # We have a new house
incr_ind = 0
if incr_ind < 2:
all_ind_age[i_ind] = pick_age(is_child=False)
else:
all_ind_age[i_ind] = pick_age(is_child=True)
incr_ind = incr_ind + 1
i_ind = i_ind + 1
return all_ind_age
def build_individual_death_rate_map(indiv_age_arg):
indiv_death_rate = indiv_age_arg
for k, v in indiv_age_arg.items():
indiv_death_rate[k] = get_mortalty_rate(indiv_age_arg[k])
return indiv_death_rate
def build_individual_hospitalization_map(indiv_age_arg):
indiv_hos_rate = indiv_age_arg
for k, v in indiv_age_arg.items():
indiv_hos_rate[k] = get_hospitalization_rate(indiv_age_arg[k])
return indiv_hos_rate
def build_house_adult_map(individual_house_map_arg, individual_adult_map_arg):
# House -> List of adults (needed to check you goes to the store)
all_hou_adu = {}
for k, v in individual_house_map_arg.items():
all_hou_adu[v] = all_hou_adu.get(v, [])
if individual_adult_map_arg[k] == 1:
all_hou_adu[v].append(k)
return all_hou_adu
def build_geo_positions_house(number_house_arg):
return [(get_r(), get_r()) for i in range(number_house_arg)]
def build_block_assignment(geo_arg, nb_1d_blocks_arg):
return [(int(h[0] * nb_1d_blocks_arg), int(h[1] * nb_1d_blocks_arg)) for h in geo_arg]
def build_2d_item_behavior(nb_items):
item_list = [(i, j) for i in range(nb_items) for j in range(nb_items)]
behavior_list = [get_lockdown_behavior_distribution() for _ in range(nb_items * nb_items)]
return dict(zip(item_list, behavior_list))
def build_1d_item_behavior(nb_items):
behavior_list = [get_lockdown_behavior_distribution() for _ in range(nb_items)]
return dict(zip(range(nb_items), behavior_list))
def build_geo_positions_store(number_store_arg):
return [(get_r(), get_r()) for i in range(number_store_arg)]
def build_geo_positions_workplace(number_workpolace_arg):
return [(get_center_squized_random(), get_center_squized_random()) for i in range(number_workpolace_arg)]
def get_store_index(indexes, prob_preference_store):
return [index[0] if get_r() < prob_preference_store else index[1] for index in indexes]
def build_house_store_map(geo_position_store_arg, geo_position_house_arg, nb_store_choice):
_, indexes = spatial.KDTree(geo_position_store_arg).query(geo_position_house_arg, k=nb_store_choice)
all_hou_sto = dict(zip(range(len(geo_position_house_arg)), [list(i) for i in indexes]))
return all_hou_sto
def build_individual_store_map(indiv_house_arg, house_store_arg):
all_ind_sto = {}
for i in range(len(indiv_house_arg)):
all_ind_sto[i] = house_store_arg[indiv_house_arg[i]]
return all_ind_sto
def build_store_individual_map(indiv_store_arg):
return invert_map_list(indiv_store_arg)
def build_individual_work_map(individual_adult_map_arg):
# Only adults work
workers = list([ind for ind, is_adult in individual_adult_map_arg.items() if is_adult == 1])
random.shuffle(workers)
all_ind_wor = {}
i_wor = 0
while len(workers) > 0:
for j in range(pick_random_company_size()):
if len(workers) == 0:
break
ind = workers.pop()
all_ind_wor[ind] = i_wor
i_wor = i_wor + 1
return all_ind_wor
def build_workplace_individual_map(individual_workplace_map_arg):
# workplace -> Individuals
return invert_map(individual_workplace_map_arg)
def build_individual_workblock_map(individual_house_map_arg, individual_workplace_map_arg,
house_block_map_arg, workplace_block_map_arg):
# Individual to blocks durint public transport
intermediate_blocks = {}
for ind, work in individual_workplace_map_arg.items():
house_block = house_block_map_arg[individual_house_map_arg[ind]]
workplace_block = workplace_block_map_arg[individual_workplace_map_arg[ind]]
intermediate_blocks[ind] = list(set(rec_get_manhattan_walk([], house_block, workplace_block)))
return intermediate_blocks
def build_workblock_individual_map(individual_workblock_map_arg):
# Blocks to individuals
return invert_map_list(individual_workblock_map_arg)
def build_individual_individual_transport_map(individual_transport_block_map_arg, transport_block_individual_map_arg,
transportation_cap_arg):
individual_individual_transport_dic = {}
for ind, blocks in individual_transport_block_map_arg.items():
for block in get_random_sample(blocks, transportation_cap_arg):
if ind not in individual_individual_transport_dic:
individual_individual_transport_dic[ind] = set()
individual_individual_transport_dic[ind].update(
get_random_sample(set(transport_block_individual_map_arg[block]), transportation_cap_arg))
return individual_individual_transport_dic
def get_moroccan_household_distribution():
return get_clipped_gaussian_number(1, 10, 4.52, math.sqrt(4.71)).astype(int)
def pick_random_company_size():
p = get_r()
if p < 0.44:
# We picked a TPE
return int(1 + (TPE_MAX_EMPLOYEES - 1) * get_r())
elif p < 0.86:
# We picked a PME
return int(TPE_MAX_EMPLOYEES + (PME_MAX_EMPLOYEES - TPE_MAX_EMPLOYEES) * get_r())
else:
# We picked a PME
return int(PME_MAX_EMPLOYEES + (GE_MAX_EMPLOYEES - PME_MAX_EMPLOYEES) * get_r())
def get_lockdown_behavior_distribution():
return get_clipped_gaussian_number(0.5, 1.5, 1, 0.25)
def pick_age(is_child):
if is_child:
l_cs = age_dist_children_cs
l_dis = age_dist_children
else:
l_cs = age_dist_adults_cs
l_dis = age_dist_adults
i = next(x[0] for x in enumerate(l_cs.values) if x[1] > get_r())
min_age_i = l_dis.iloc[i]['min_age']
max_age_i = l_dis.iloc[i]['max_age']
return int(min_age_i + (max_age_i - min_age_i) * get_r())
def get_mortalty_rate(age):
i = next(x for x in enumerate(list(covid_mortality_rate.keys())) if x[1] <= age / 10)
return covid_mortality_rate[i[1]]
def get_hospitalization_rate(age):
i = next(x for x in enumerate(list(covid_hospitalization_rate.keys())) if x[1] <= age / 10)
return covid_hospitalization_rate[i[1]]