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#!/usr/bin/env python3
from __future__ import annotations
import random
class WaterSample:
def __init__(
self,
solid: int,
algae: int,
lime: tuple[int, int, int, int],
toxin: tuple[int, int, int, int],
):
self.solid = solid
self.algae = algae
self.lime = lime
self.toxin = toxin
def procedure_dict(self):
procedures = {
"1": (self.index1, self.index1_str),
"2": (self.index2, self.index2_str),
"3": (self.index3, self.index3_str),
"4": (self.index4, self.index4_str),
"5": (self.index5, self.index5_str),
"6": (self.index6, self.index6_str),
"overall": (self.overall, self.overall_str),
}
return procedures
def select_procedures(self):
procedures = [
(self.index1, self.index1_str),
(self.index2, self.index2_str),
(self.index3, self.index3_str),
(self.index4, self.index4_str),
(self.index5, self.index5_str),
(self.index6, self.index6_str),
]
random.shuffle(procedures)
training_procedures = procedures[:-1]
training_procedures.append((self.overall, self.overall_str))
return training_procedures, procedures[-1]
def index1(self):
return (self.lime[3] - self.lime[1]) * self.solid
def index1_str(self):
return "(Sandstein_4 - Sandstein_2) * Mineralien"
def index2(self):
return (2 * self.algae) + min(self.lime)
def index2_str(self):
return "(2 * Algen) + Sandstein_min"
def index3(self):
return max(self.toxin) + min(self.toxin)
def index3_str(self):
return "Gifte_max + Gifte_min"
def index4(self):
return (self.solid * 2) - self.toxin[3]
def index4_str(self):
return "(Mineralien * 2) - Gifte_4"
def index5(self):
return max(self.lime[2], (self.toxin[2] - self.toxin[1]))
def index5_str(self):
return "Der höhere zwischen (Gifte_3 - Gifte_2) und Sandstein_3"
def index6(self):
return min(self.algae, (self.lime[0] + self.toxin[0]))
def index6_str(self):
return "Der kleinere zwischen Algen und (Sandstein_1 + Gifte_1)"
def overall(self):
return 100 - max(
self.index1(), self.index2(), self.index3(), self.index4(), self.index5()
)
def overall_str(self):
return "100 - dem Höchstem aller Ergebnisse"
def print_all(self):
print(f"Solid: {self.solid}")
print(f"Algae: {self.algae}")
print(f"Lime: {self.lime}")
print(f"Toxin: {self.toxin}")
print(f"Index 1: {self.index1_str()} = {self.index1()}")
print(f"Index 2: {self.index2_str()} = {self.index2()}")
print(f"Index 3: {self.index3_str()} = {self.index3()}")
print(f"Index 4: {self.index4_str()} = {self.index4()}")
print(f"Index 5: {self.index5_str()} = {self.index5()}")
print(f"Index 6: {self.index6_str()} = {self.index6()}")
print(f"Overall Quality: {self.overall_str()} = {self.overall()}")
# No step should produce a negative number, greater/lesser of comparisons should not
# use equal numbers
def constrained_WaterSample():
water_sample = random_WaterSample()
resample = True
while resample:
water_sample = random_WaterSample()
resample = False
# check for negative results
for proc in water_sample.procedure_dict().keys():
if water_sample.procedure_dict()[proc][0]() < 0:
resample = True
# check for greater/lesser equality
# procedure 5
if (water_sample.toxin[2] - water_sample.toxin[1]) == water_sample.lime[2]:
resample = True
# procedure 6
if (water_sample.lime[0] + water_sample.toxin[0]) == water_sample.algae:
resample = True
return water_sample
def random_WaterSample():
solid = random.randint(1, 9)
algae = random.randint(1, 9)
lime = tuple(random.randint(1, 9) for _ in range(4))
toxin = tuple(random.randint(1, 9) for _ in range(4))
return WaterSample(solid, algae, lime, toxin)
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