def temporal_relation_between(temporal_event_1, temporal_event_2):
temporal_event_1 = TemporalEventTrapezium(1, 10)
temporal_event_2 = TemporalEventTrapezium(11, 16)
sum_times = sorted([
UnixTime(time).to_datetime()
for time in set(temporal_event_1.to_list() +
temporal_event_2.to_list())
])
sum_certainties = []
for time_step in sum_times:
sum_certainties.append(
temporal_event_1.membership_function(time_step) +
temporal_event_2.membership_function(time_step))
result = {}
formulas = {
'p': beforeFormula,
'm': meetsFormula,
'o': overlapsFormula,
'F': finished_byFormula,
'D': containsFormula,
's': startsFormula,
'e': equalsFormula,
'S': started_byFormula,
'd': duringFormula,
'f': finishesFormula,
'O': overlapped_byFormula,
'M': met_byFormula,
'P': afterFormula
}
dist1, dist2 = temporal_event_1.to_dict(), temporal_event_2.to_dict()
for name in formulas:
degree = formulas[name](dist1, dist2)
if degree > 0:
result[name] = degree
print result
temporal_event_1.plot()
plt = temporal_event_2.plot()
plt.plot(sum_times, sum_certainties)
plt.show()
return result
def normalised(self):
area = self.integral(NEGATIVE_INFINITY, POSITIVE_INFINITY)
if equals(area, 0):
area = self.integral(NEGATIVE_INFINITY, POSITIVE_INFINITY)
dictionary_input_output = {}
output_list = [y / area for y in self.output_list]
for i in xrange(len(self.input_list)):
dictionary_input_output[self.input_list[i]] = output_list[i]
result = FunctionPiecewiseLinear(
dictionary_input_output,
function_undefined=self.function_undefined)
result.is_normalised = True
return result
if __name__ == '__main__':
from spatiotemporal.temporal_events import TemporalEventTrapezium
e = TemporalEventTrapezium(1, 10, 3, 8)
print e
mf = e.membership_function()
print 'degree in [1 : 3]:', e.degree_in_interval(1, 3)
print 'degree in [3 : 4]:', e.degree_in_interval(3, 4)
print 'degree in [8 : 9]:', e.degree_in_interval(8, 9)
print 'degree in [2 : 9]:', e.degree_in_interval(2, 9)
print 'degree in [1 : 10]:', e.degree_in_interval()
print 'degree in [11 : 17]:', e.degree_in_interval(11, 17)
#a = FunctionLinear(None, None, 3, 0, -1, 1.0/9)
#print (a(-0.25) + a(0.25))/4
#print a(0.25) * 2.75 / 2
def temporal_relation_between(temporal_event_1, temporal_event_2):
temporal_event_1 = TemporalEventTrapezium(1, 10)
temporal_event_2 = TemporalEventTrapezium(11, 16)
sum_times = sorted(
[UnixTime(time).to_datetime() for time in set(temporal_event_1.to_list() + temporal_event_2.to_list())]
)
sum_certainties = []
for time_step in sum_times:
sum_certainties.append(temporal_event_1.membership_function(time_step) +
temporal_event_2.membership_function(time_step))
result = {}
formulas = {
'p': beforeFormula,
'm': meetsFormula,
'o': overlapsFormula,
'F': finished_byFormula,
'D': containsFormula,
's': startsFormula,
'e': equalsFormula,
'S': started_byFormula,
'd': duringFormula,
'f': finishesFormula,
'O': overlapped_byFormula,
'M': met_byFormula,
'P': afterFormula
}
dist1, dist2 = temporal_event_1.to_dict(), temporal_event_2.to_dict()
for name in formulas:
degree = formulas[name](dist1, dist2)
if degree > 0:
result[name] = degree
print result
temporal_event_1.plot()
plt = temporal_event_2.plot()
plt.plot(sum_times, sum_certainties)
plt.show()
return result
assert len(self.input_list) == len(self.output_list) >= 2
bounds_function_dictionary = {}
for i in xrange(1, len(self.input_list)):
x_0, x_1 = self.input_list[i - 1], self.input_list[i]
y_0, y_1 = self.output_list[i - 1], self.output_list[i]
bounds_function_dictionary[(x_0, x_1)] = FunctionLinear(x_0=x_0, x_1=x_1, y_0=y_0, y_1=y_1)
bounds_function_dictionary[(MINUS_INFINITY, self.input_list[0])] = self.function_undefined
bounds_function_dictionary[(self.input_list[-1], PLUS_INFINITY)] = self.function_undefined
FunctionComposite.__init__(self, bounds_function_dictionary)
def __getitem__(self, index):
return self.output_list.__getitem__(index)
def __len__(self):
return len(self.output_list)
def __iter__(self):
return iter(self.output_list)
if __name__ == '__main__':
from spatiotemporal.temporal_events import TemporalEventTrapezium
e = TemporalEventTrapezium(1, 10, 3, 8)
print e
mf = e.membership_function()
print 'degree in [1 : 3]:', e.degree_in_interval(1, 3)
print 'degree in [3 : 4]:', e.degree_in_interval(3, 4)
print 'degree in [8 : 9]:', e.degree_in_interval(8, 9)
print 'degree in [2 : 9]:', e.degree_in_interval(2, 9)
print 'degree in [1 : 10]:', e.degree_in_interval()
print 'degree in [11 : 17]:', e.degree_in_interval(11, 17)