def get_score(self, adoption_center):
base_score = Adopter.get_score(self,adoption_center)
add_score = 1
for animal in self.allergic_species:
if( adoption_center.get_number_of_species(animal) > 0):
add_score = 0.0
break
return (base_score * add_score)
def get_score(self, adoption_center):
base_score = Adopter.get_score(self,adoption_center)
add_score = 0
for animal in self.feared_species:
add_score += adoption_center.get_number_of_species(animal)
base_score -= 0.3 * add_score
if base_score < 0.0:
base_score = 0.0
return (base_score)
def get_score(self, adoption_center):
import random as rand
base_score = Adopter.get_score(self,adoption_center)
distance = self.get_distance(adoption_center)
if distance < 1.0:
add_score = 1.0
elif distance < 3.0 :
add_score = rand.uniform(0.700,0.900)
elif distance < 5.0 :
add_score = rand.uniform(0.500,0.700)
else:
add_score = rand.uniform(0.100,0.500)
return (base_score * add_score)
def get_score(self, adoption_center):
base_score = Adopter.get_score(self,adoption_center)
add_score = 1.0
allergic_adoption = []
for animal in self.allergic_species:
if( adoption_center.get_number_of_species(animal) > 0):
allergic_adoption.append(animal)
for animal in allergic_adoption:
try :
me_score = self.medicine_effectiveness[animal]
except :
me_score = 0
if me_score < add_score :
add_score = me_score
return (base_score * add_score)
def __init__(self, name, desired_species, allergic_species):
Adopter.__init__(self, name, desired_species)
if str(type(allergic_species)) == "<type 'str'>" :
self.allergic_species = [allergic_species]
else:
self.allergic_species = allergic_species
def __init__(self, name, desired_species, feared_species):
Adopter.__init__(self, name, desired_species)
if str(type(feared_species)) == "<type 'str'>" :
self.feared_species = [feared_species]
else:
self.feared_species = feared_species
def get_score(self, adoption_center):
base_score = Adopter.get_score(self,adoption_center)
add_score = 0
for animal in self.considered_species:
add_score += adoption_center.get_number_of_species(animal)
return (base_score + (0.3 * add_score))
def __init__(self, name, desired_species, considered_species):
Adopter.__init__(self, name, desired_species)
if str(type(considered_species)) == "<type 'str'>" :
self.considered_species = [considered_species]
else:
self.considered_species = considered_species
def __init__(self, name, desired_species, location):
Adopter.__init__(self, name, desired_species)
self.adopter_location = (float(location[0]),
float(location[1]))