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# coding=utf-8 | |
""" A genetic algorithm to brew the perfect cup of tea. """ | |
import numpy as np | |
import random, heapq, math | |
# Milk (1 = Lots), Sweeteners, Brew Time (In mins). | |
starting_teas = 10 | |
adjectives = ["wonderous", "heroic", "bold", "daring", "epic", "fearless", "courageous", "grand", "gallent", "gusty", "nobel", "dauntless", "fire-eating", "dragon-slaying", "unafraid", "lion-hearted"] | |
nouns = ["brew", "tea", "cuppa", "cup", "blend", "drink", "mélange", "medley"] | |
teas = {} | |
def random_name(): | |
return random.choice(adjectives) + " " + random.choice(nouns) | |
def random_milk(gen = 1, prev = 0): | |
# Start at 0.5**2 = 0.25 | |
if(gen == 1): | |
return round(random.uniform(0.3, 0.9), 1) | |
else: | |
return prev + round(random.uniform(-(0.5**gen), 0.5**gen), gen) | |
def random_sweetners(gen = 1, prev = 0): | |
# Roughly 1 to 3. | |
if(gen == 1): | |
return round(random.uniform(1, 3), 0) | |
else: | |
return prev + round(random.uniform(-(0.5**gen), 0.5**gen), gen) | |
def random_brew_time(gen = 1, prev = 0): | |
# Roughly 2mins to 4mins | |
if(gen == 1): | |
return round(random.uniform(2, 4), 0) | |
else: | |
return prev + round(random.uniform(-(0.5**(gen-1)), 0.5**(gen-1)), (gen-1)) | |
soft_random = { | |
"name": random_name, | |
"milk": random_milk, | |
"sweeteners": random_sweetners, | |
"brew_time": random_brew_time | |
} | |
base_tea = { | |
"brew_time": 0, | |
"milk": 0, | |
"sweeteners": 0, | |
"name": "", | |
"fitness": 0, | |
} | |
def create_base_teas(): | |
for i in range(0, starting_teas): | |
curr = base_tea.copy() | |
curr["brew_time"] = soft_random["brew_time"]() | |
curr["milk"] = soft_random["milk"]() | |
curr["sweeteners"] = soft_random["sweeteners"]() | |
curr["name"] = soft_random["name"]() | |
teas[i] = curr | |
def evole_single_tea(index, gen): | |
curr = teas[index] | |
curr["brew_time"] = soft_random["brew_time"](gen, curr["brew_time"]) | |
curr["milk"] = soft_random["milk"](gen, curr["milk"]) | |
curr["sweeteners"] = soft_random["sweeteners"](gen, curr["sweeteners"]) | |
def rank_tea(arr): | |
for i in range(0, len(teas)): | |
teas[i]["fitness"] = arr[i] | |
def selection(): | |
teaCopy = teas.copy() | |
fitnesses = [] | |
for i in range(0, len(teaCopy)): | |
fitnesses.append(teas[i]["fitness"]) | |
print(fitnesses) | |
max_fitnesses_indicies = sorted(range(len(fitnesses)), key=lambda x: fitnesses[x]) | |
print(max_fitnesses_indicies) | |
len_array = [] | |
print(len_array) | |
for i in range(0, len(teas)): | |
len_array.append(i) | |
to_be_del = list( set(max_fitnesses_indicies) - set(len_array) ) | |
print(to_be_del) | |
create_base_teas() | |
print(teas) |
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