def gemelo_genetico(persona):
p = personas[persona]
person = {
i[0]: Counter(i[1])
for i in zip(list(p.genoma.keys()), list(p.genoma.values()))
}
nombres = (x.nombre for x in personas.values() if x.nombre != p.nombre)
per = (zip(list(x.genoma.keys()), list(x.genoma.values()))
for x in personas.values() if p.nombre != x.nombre)
contador = list({x[0]: Counter(x[1]) for x in j} for j in per)
numeros_comun = zip(map(lambda x: sum(gem(x, person)), contador), nombres)
gemelo = max(numeros_comun)
return [gemelo[1]]
def prom(tag_caracteristica):
per = ((i.nombre, i.altura, i.color_ojos, i.color_pelo, i.tono_piel,
i.forma_nariz, i.pies, i.vello, i.guata, i.prob_vision)
for i in personas.values())
dos = {'AAG': 1, 'CTC': 6}
genes = (i[dos[tag_caracteristica]] for i in per)
return [sum(genes) / len(personas)]
def grado_2(persona):
per = ((i.nombre, i.altura, i.color_ojos, i.color_pelo, i.tono_piel,
i.forma_nariz, i.pies, i.vello, i.guata, i.prob_vision)
for i in personas.values() if i.nombre != persona.nombre)
return list(p[0] for p in filter(
lambda x: abs(float(x[1]) - float(persona.altura)) <= 0.5 and x[
3] == persona.color_pelo and x[4] == persona.tono_piel and abs(
float(x[6]) - float(persona.pies)) <= 4 and x[9] == persona.
prob_vision, per))
def grado__1(persona):
per = ((i.nombre, i.altura, i.color_ojos, i.color_pelo, i.tono_piel,
i.forma_nariz, i.pies, i.vello, i.guata, i.prob_vision)
for i in personas.values() if i.nombre != persona.nombre)
return list(p[0] for p in filter(
lambda x: float(x[1]) != float(persona.altura) and x[
2] != persona.color_ojos and x[3] != persona.color_pelo and x[4] !=
persona.tono_piel and x[5] != persona.forma_nariz and float(x[
6]) != float(persona.pies) and x[7] != persona.vello and x[
8] != persona.guata and x[9] != persona.prob_vision, per))
def grado_n(persona):
per = ((i.nombre, i.altura, i.color_ojos, i.color_pelo, i.tono_piel,
i.forma_nariz, i.pies, i.vello, i.guata, i.prob_vision)
for i in personas.values() if i.nombre != persona.nombre)
guatas = {
'Modelo': 1,
'Atleta': 2,
'Mañana empiezo la dieta': 3,
'Guaton Parrillero': 4
}
return list(p[0] for p in filter(
lambda x: abs(float(x[1]) - float(persona.altura)) <= 0.7 and x[
4] == persona.tono_piel and abs(float(x[6]) - float(persona.pies))
<= 6 and abs(guatas[x[8]] - guatas[persona.guata]) <= 1, per))
def mmax(tag_caracteristica):
uno = {'GTC': 2, 'GGA': 3, 'TCT': 4, 'GTA': 5}
dos = {'AAG': 1, 'CTC': 6}
per = ((i.nombre, i.altura, i.color_ojos, i.color_pelo, i.tono_piel,
i.forma_nariz, i.pies, i.vello, i.guata, i.prob_vision)
for i in personas.values())
if tag_caracteristica in list(uno.keys()):
l = list(map(lambda x: x[uno[tag_caracteristica]], per))
sett = tuple(set(l))
filters = list(
map((lambda y: list(filter(lambda x: x == sett[y], l))),
range(len(sett))))
do = {i[1]: i[0] for i in map(lambda x: (len(x), x[0]), filters)}
maximo = max(do.values())
return [list(do.keys())[list(do.values()).index(maximo)]]
else:
return [max(map(lambda x: x[dos[tag_caracteristica]], per))]