A/B auf 38 Holdout-Matches: mechanical 0.724 vs legacy 0.695. Promotion durchgeführt. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
74 lines
2.7 KiB
Python
74 lines
2.7 KiB
Python
import pytest
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from tft.model import statsheet
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def unit(spell=None, scaling="ap", **overrides):
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stats = {"hp": 700, "armor": 30, "magicResist": 30, "damage": 50,
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"attackSpeed": 0.7, "mana": 60, "initialMana": 10,
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"critChance": 0.25, "critMultiplier": 1.4}
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stats.update(overrides)
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return {"stats": stats, "spell_damage": spell, "spell_scaling": scaling}
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ITEMS = {
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"sword": {"effects": {"AD": 0.35, "CritChance": 35.0}},
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"vest": {"effects": {"Armor": 20.0}},
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"rod": {"effects": {"AP": 10.0}},
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"unmodeled": {"effects": {"BurnPercent": 1.0}},
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}
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def test_star_scaling():
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one = statsheet.unit_stats(unit(), 1, [], ITEMS, None, None)
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two = statsheet.unit_stats(unit(), 2, [], ITEMS, None, None)
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assert two["ehp"] == pytest.approx(one["ehp"] * 1.8)
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assert two["dps"] == pytest.approx(one["dps"] * 1.5)
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def test_spell_damage_uses_star_index_and_ap():
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spell = [0, 200, 300, 450, 0, 0, 0]
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bare = statsheet.unit_stats(unit(spell=spell), 1, [], ITEMS, None, None)
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with_rod = statsheet.unit_stats(unit(spell=spell), 1, ["rod"], ITEMS, None, None)
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no_spell = statsheet.unit_stats(unit(), 1, [], ITEMS, None, None)
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assert bare["dps"] > no_spell["dps"]
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assert with_rod["dps"] > bare["dps"] # +10 AP skaliert den Spell
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def test_items_change_profile():
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base = statsheet.unit_stats(unit(), 1, [], ITEMS, None, None)
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sword = statsheet.unit_stats(unit(), 1, ["sword"], ITEMS, None, None)
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vest = statsheet.unit_stats(unit(), 1, ["vest"], ITEMS, None, None)
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assert sword["dps"] > base["dps"]
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assert vest["ehp"] > base["ehp"]
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assert statsheet.item_is_modeled(ITEMS["sword"])
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assert not statsheet.item_is_modeled(ITEMS["unmodeled"])
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def test_frontline_casts_more():
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spell = [0, 300, 450, 700, 0, 0, 0]
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tank = statsheet.unit_stats(unit(spell=spell), 1, [], ITEMS, None, "frontline")
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carry = statsheet.unit_stats(unit(spell=spell), 1, [], ITEMS, None, "ad_carry")
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assert tank["dps"] > carry["dps"]
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def test_trait_buffs_keyword_mapping():
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traits = {
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"T_AD": {"breakpoints": [{"min_units": 2, "style": 1,
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"variables": {"BonusAD": 0.15}}]},
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"T_Mech": {"breakpoints": [{"min_units": 2, "style": 1,
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"variables": {"Wolf_Gold": 1.0}}]},
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"T_Skip": {"breakpoints": [{"min_units": 2, "style": 1,
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"variables": {"StunDuration": 1.5}}]},
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}
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buffs, recognized = statsheet.trait_buffs(
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{"T_AD": 1, "T_Mech": 1, "T_Skip": 1}, traits
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)
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assert recognized == {"T_AD"}
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assert buffs["ad_pct"] == pytest.approx(0.15)
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def test_fraction_normalization():
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assert statsheet._fraction(0.15) == 0.15
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assert statsheet._fraction(15.0) == 0.15
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