from numpy import PINF
from math import fabs
from scipy.stats import uniform
from spatiotemporal.temporal_events.trapezium import RelationFormulaTrapezium
__author__ = 'keyvan'
epsilon = 0.0000001
binary_steps = 20
formula = RelationFormulaTrapezium()
def find_dist_on_right(dist_left, dist_right_start_point, same_value):
dist_left_start_point, dist_left_length = dist_left.args
return uniform(dist_right_start_point, (dist_left_start_point + dist_left_length
- dist_right_start_point) ** 2 / same_value ** 2 / dist_left_length)
def find_dist_on_right_both(dist_left_1, dist_left_2, same_1, same_2):
interval = [dist_left_1.args[0], dist_left_1.args[0] + dist_left_1.args[1]]
alternative_interval = interval
delta = PINF
previous_delta = PINF
for k in xrange(binary_steps):
dist_right_start_point = (interval[0] + interval[1]) / 2.0
dist_right = find_dist_on_right(dist_left_1, dist_right_start_point, same_1)
same_heuristic = formula.compare(dist_left_2, dist_right)[1]
delta = same_heuristic - same_2
if fabs(delta) < epsilon:
return dist_right, delta
from math import fabs
from scipy.stats import uniform
from spatiotemporal.temporal_events import RelationFormulaGeometricMean
from spatiotemporal.temporal_events.trapezium import RelationFormulaTrapezium
__author__ = 'keyvan'
b_beg = uniform(10, 3)
b_end = uniform(1001, 3)
c_actual = uniform(11, 991)
f = RelationFormulaTrapezium()
same_beg = f.compare(b_beg, c_actual)[1]
same_end = f.compare(b_end, c_actual)[1]
interval = [10, 13.0]
x = []
for i in xrange(40):
c_start_point = (interval[0] + interval[1]) / 2
length = ((13.0 - c_start_point) / same_beg)**2 / 3.0
c_heuristic = uniform(c_start_point, length)
same_heuristic = f.compare(b_end, c_heuristic)[1]
same_heuristic_beg = f.compare(b_beg, c_heuristic)[1]
delta = same_end - same_heuristic
x.append(delta)
if fabs(delta) < 0.000000001:
print same_beg
print same_heuristic_beg
print same_end
print same_heuristic
from numpy import PINF
from math import fabs
from scipy.stats import uniform
from spatiotemporal.temporal_events.trapezium import RelationFormulaTrapezium
__author__ = 'keyvan'
epsilon = 0.0000001
binary_steps = 20
formula = RelationFormulaTrapezium()
def find_dist_on_right(dist_left, dist_right_start_point, same_value):
dist_left_start_point, dist_left_length = dist_left.args
return uniform(
dist_right_start_point,
(dist_left_start_point + dist_left_length - dist_right_start_point)**2
/ same_value**2 / dist_left_length)
def find_dist_on_right_both(dist_left_1, dist_left_2, same_1, same_2):
interval = [dist_left_1.args[0], dist_left_1.args[0] + dist_left_1.args[1]]
alternative_interval = interval
delta = PINF
previous_delta = PINF
for k in xrange(binary_steps):
dist_right_start_point = (interval[0] + interval[1]) / 2.0
dist_right = find_dist_on_right(dist_left_1, dist_right_start_point,
same_1)
same_heuristic = formula.compare(dist_left_2, dist_right)[1]
