154 lines
4.8 KiB
Python
154 lines
4.8 KiB
Python
import dataclasses
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import fractions
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materials = {
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"raw": {
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"Raw Material Category 1": ["Carbon", "Vanadium", "Niobium", "Yttrium"],
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"Raw Material Category 2": [
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"Phosphorus",
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"Chromium",
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"Molybdenum",
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"Technetium",
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],
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"Raw Material Category 3": ["Sulphur", "Manganese", "Cadmium", "Ruthenium"],
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"Raw Material Category 4": ["Iron", "Zinc", "Tin", "Selenium"],
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"Raw Material Category 5": ["Nickel", "Germanium", "Tungsten", "Tellurium"],
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"Raw Material Category 6": ["Rhenium", "Arsenic", "Mercury", "Polonium"],
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"Raw Material Category 7": ["Lead", "Zirconium", "Boron", "Antimony"],
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},
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"manufactured": {
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"Chemical": [
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"Chemical Storage Units",
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"Chemical Processors",
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"Chemical Distillery",
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"Chemical Manipulators",
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"Pharmaceutical Isolators",
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],
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"Thermic": [
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"Tempered Alloys",
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"Heat Resistant Ceramics",
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"Precipitated Alloys",
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"Thermic Alloys",
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"Military Grade Alloys",
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],
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"Heat": [
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"Heat Conduction Wiring",
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"Heat Dispersion Plate",
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"Heat Exchangers",
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"Heat Vanes",
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"Proto Heat Radiators",
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],
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"Conductive": [
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"Basic Conductors",
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"Conductive Components",
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"Conductive Ceramics",
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"Conductive Polymers",
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"Biotech Conductors",
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],
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"Mechanical Components": [
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"Mechanical Scrap",
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"Mechanical Equipment",
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"Mechanical Components",
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"Configurable Components",
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"Improvised Components",
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],
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"Capacitors": [
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"Grid Resistors",
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"Hybrid Capacitors",
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"Electrochemical Arrays",
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"Polymer Capacitors",
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"Military Supercapacitors",
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],
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"Shielding": [
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"Worn Shield Emitters",
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"Shield Emitters",
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"Shielding Sensors",
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"Compound Shielding",
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"Imperial Shielding",
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],
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"Composite": [
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"Compact Composites",
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"Filament Composites",
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"High Density Composites",
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"Proprietary Composites",
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"Core Dynamics Composites",
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],
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"Crystals": [
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"Crystal Shards",
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"Flawed Focus Crystals",
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"Focus Crystals",
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"Refined Focus Crystals",
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"Exquisite Focus Crystals",
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],
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"Alloys": [
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"Salvaged Alloys",
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"Galvanising Alloys",
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"Phase Alloys",
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"Proto Light Alloys",
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"Proto Radiolic Alloys",
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],
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},
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"encoded": {
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"Emission Data": [
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"Exceptional Scrambled Emission Data",
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"Irregular Emission Data",
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"Unexpected Emission Data",
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"Decoded Emission Data",
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"Abnormal Compact Emissions Data",
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],
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"Wake Scans": [
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"Atypical Disrupted Wake Echoes",
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"Anomalous FSD Telemetry",
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"Strange Wake Solutions",
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"Eccentric Hyperspace Trajectories",
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"Datamined Wake Exceptions",
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],
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"Shield Data": [
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"Distorted Shield Cycle Recordings",
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"Inconsistent Shield Soak Analysis",
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"Untypical Shield Scans",
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"Aberrant Shield Pattern Analysis",
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"Peculiar Shield Frequency Data",
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],
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"Encryption Files": [
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"Unusual Encrypted Files",
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"Tagged Encryption Codes",
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"Open Symmetric Keys",
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"Atypical Encryption Archives",
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"Adaptive Encryptors Capture",
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],
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"Data Archives": [
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"Anomalous Bulk Scan Data",
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"Unidentified Scan Archives",
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"Classified Scan Databanks",
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"Divergent Scan Data",
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"Classified Scan Fragment",
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],
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"Encoded Firmware": [
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"Specialised Legacy Firmware",
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"Modified Consumer Firmware",
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"Cracked Industrial Firmware",
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"Security Firmware Patch",
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"Modified Embedded Firmware",
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],
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},
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}
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@dataclasses.dataclass
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class Material:
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name: str
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category: str
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grade: int
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def trade_ratio(self, other: "Material") -> fractions.Fraction:
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grade_base = 3 if self.grade <= other.grade else 6
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grade_ratio = fractions.Fraction(
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grade_base ** self.grade, grade_base ** other.grade
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)
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category_ratio = (
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fractions.Fraction(1, 1)
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if self.category == other.category
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else fractions.Fraction(6, 1)
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)
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return grade_ratio * category_ratio
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