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author | Niclas Dobbertin <niclas.dobbertin@mailbox.org> | 2023-10-23 14:28:27 +0200 |
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committer | Niclas Dobbertin <niclas.dobbertin@mailbox.org> | 2023-10-23 14:28:27 +0200 |
commit | 9ad2fb0e18373f84e2a8a52a5ae93311744ed23e (patch) | |
tree | b34a3a919d9e6803086436622d2d55e0095a89c5 /experiment/frensch_procedures.py | |
parent | 9ad4ebeccfb7ac7f86ac74faf646f4ec95910b7e (diff) |
rename experiment dir
Diffstat (limited to 'experiment/frensch_procedures.py')
-rw-r--r-- | experiment/frensch_procedures.py | 150 |
1 files changed, 150 insertions, 0 deletions
diff --git a/experiment/frensch_procedures.py b/experiment/frensch_procedures.py new file mode 100644 index 0000000..3c64471 --- /dev/null +++ b/experiment/frensch_procedures.py @@ -0,0 +1,150 @@ +#!/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 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) |