env progr

1 files changed, 155 insertions, 0 deletions

diff --git a/modeling/frensch_procedures.py b/modeling/frensch_procedures.py
new file mode 100644
index 0000000..9dcbf36
--- /dev/null
+++ b/modeling/frensch_procedures.py
@@ -0,0 +1,155 @@
+#!/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 water_sample_dict(self):
+        sample = {
+            "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()),
+            "solid": self.solid,
+            "algae": self.algae,
+            "lime": self.lime,
+            "toxin": self.toxin,
+        }
+        return sample
+
+    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 "Das Höhere von (Gifte_3 - Gifte_2), (Sandstein_3)"
+
+    def index6(self):
+        return min(self.algae, (self.lime[0] + self.toxin[0]))
+
+    def index6_str(self):
+        return "Das Kleinere von (Sandstein_1 + Gifte_1), (Algen)"
+
+    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 negative intermediate result
+        if (water_sample.lime[3] - water_sample.lime[1]) < 0:
+            resample = True
+        if (water_sample.toxin[2] - water_sample.toxin[1]) < 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)