249 lines
9.2 KiB
Java
249 lines
9.2 KiB
Java
/*
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* This file is part of the L2J Mobius project.
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*
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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package com.l2jmobius.gameserver.model.drops;
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import java.util.ArrayList;
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import java.util.Collections;
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import java.util.List;
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import com.l2jmobius.gameserver.model.actor.L2Character;
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import com.l2jmobius.gameserver.model.drops.strategy.IAmountMultiplierStrategy;
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import com.l2jmobius.gameserver.model.drops.strategy.IChanceMultiplierStrategy;
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import com.l2jmobius.gameserver.model.drops.strategy.IGroupedItemDropCalculationStrategy;
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import com.l2jmobius.gameserver.model.drops.strategy.IKillerChanceModifierStrategy;
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import com.l2jmobius.gameserver.model.drops.strategy.IPreciseDeterminationStrategy;
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import com.l2jmobius.gameserver.model.holders.ItemHolder;
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/**
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* @author NosBit
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*/
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public final class GroupedGeneralDropItem implements IDropItem
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{
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private final double _chance;
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private List<GeneralDropItem> _items;
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protected final IGroupedItemDropCalculationStrategy _dropCalculationStrategy;
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protected final IKillerChanceModifierStrategy _killerChanceModifierStrategy;
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protected final IPreciseDeterminationStrategy _preciseStrategy;
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/**
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* @param chance the chance of this drop item.
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*/
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public GroupedGeneralDropItem(double chance)
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{
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this(chance, IGroupedItemDropCalculationStrategy.DEFAULT_STRATEGY, IKillerChanceModifierStrategy.DEFAULT_STRATEGY, IPreciseDeterminationStrategy.DEFAULT);
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}
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/**
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* @param chance the chance of this drop item.
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* @param dropStrategy to calculate drops.
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* @param killerStrategy
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* @param preciseStrategy
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*/
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public GroupedGeneralDropItem(double chance, IGroupedItemDropCalculationStrategy dropStrategy, IKillerChanceModifierStrategy killerStrategy, IPreciseDeterminationStrategy preciseStrategy)
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{
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_chance = chance;
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_dropCalculationStrategy = dropStrategy;
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_killerChanceModifierStrategy = killerStrategy;
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_preciseStrategy = preciseStrategy;
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}
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/**
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* Gets the chance of this drop item.
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* @return the chance
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*/
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public final double getChance()
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{
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return _chance;
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}
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/**
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* Gets the items.
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* @return the items
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*/
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public final List<GeneralDropItem> getItems()
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{
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return _items;
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}
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/**
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* @return the strategy
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*/
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public final IGroupedItemDropCalculationStrategy getDropCalculationStrategy()
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{
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return _dropCalculationStrategy;
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}
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/**
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* @return the _killerChanceModifierStrategy
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*/
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public IKillerChanceModifierStrategy getKillerChanceModifierStrategy()
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{
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return _killerChanceModifierStrategy;
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}
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/**
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* @return the _preciseStrategy
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*/
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public final IPreciseDeterminationStrategy getPreciseStrategy()
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{
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return _preciseStrategy;
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}
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/**
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* Sets an item list to this drop item.
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* @param items the item list
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*/
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public final void setItems(List<GeneralDropItem> items)
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{
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_items = Collections.unmodifiableList(items);
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}
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/**
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* Returns a list of items in the group with chance multiplied by chance of the group
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* @return the list of items with modified chances
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*/
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public final List<GeneralDropItem> extractMe()
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{
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final List<GeneralDropItem> items = new ArrayList<>();
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for (GeneralDropItem item : getItems())
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{
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// precise and killer strategies of the group
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items.add(new GeneralDropItem(item.getItemId(), item.getMin(), item.getMax(), (item.getChance() * getChance()) / 100, item.getAmountStrategy(), item.getChanceStrategy(), getPreciseStrategy(), getKillerChanceModifierStrategy(), item.getDropCalculationStrategy()));
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}
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return items;
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}
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/**
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* statically normalizes a group, useful when need to convert legacy SQL data
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* @return a new group with items, which have a sum of getChance() of 100%
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*/
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public final GroupedGeneralDropItem normalizeMe()
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{
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double sumchance = 0;
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for (GeneralDropItem item : getItems())
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{
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sumchance += (item.getChance() * getChance()) / 100;
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}
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final double sumchance1 = sumchance;
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final GroupedGeneralDropItem group = new GroupedGeneralDropItem(sumchance1, getDropCalculationStrategy(), IKillerChanceModifierStrategy.NO_RULES, getPreciseStrategy());
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final List<GeneralDropItem> items = new ArrayList<>();
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for (GeneralDropItem item : getItems())
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{
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// modify only the chance, leave all other rules intact
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items.add(new GeneralDropItem(item.getItemId(), item.getMin(), item.getMax(), (item.getChance() * getChance()) / sumchance1, item.getAmountStrategy(), item.getChanceStrategy(), item.getPreciseStrategy(), item.getKillerChanceModifierStrategy(), item.getDropCalculationStrategy()));
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}
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group.setItems(items);
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return group;
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}
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/**
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* Creates a normalized group taking into account all drop modifiers, needed when handling a group which has items with different chance rates
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* @param victim
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* @param killer
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* @return a new normalized group with all drop modifiers applied
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*/
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public final GroupedGeneralDropItem normalizeMe(L2Character victim, L2Character killer)
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{
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return normalizeMe(victim, killer, true, 1);
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}
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/**
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* Creates a normalized group taking into account all drop modifiers, needed when handling a group which has items with different chance rates
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* @param victim
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* @param killer
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* @param chanceModifier an additional chance modifier
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* @return a new normalized group with all drop modifiers applied
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*/
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public final GroupedGeneralDropItem normalizeMe(L2Character victim, L2Character killer, double chanceModifier)
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{
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return normalizeMe(victim, killer, true, chanceModifier);
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}
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/**
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* Creates a normalized group taking into account all drop modifiers, needed when handling a group which has items with different chance rates
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* @param victim
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* @return a new normalized group with all victim modifiers applied
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*/
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public final GroupedGeneralDropItem normalizeMe(L2Character victim)
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{
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return normalizeMe(victim, null, false, 1);
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}
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/**
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* Creates a normalized group taking into account all drop modifiers, needed when handling a group which has items with different chance rates
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* @param victim
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* @param chanceModifier an additional chance modifier
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* @return a new normalized group with all victim modifiers applied
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*/
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public final GroupedGeneralDropItem normalizeMe(L2Character victim, double chanceModifier)
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{
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return normalizeMe(victim, null, false, chanceModifier);
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}
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/**
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* Creates a normalized group taking into account all drop modifiers, needed when handling a group which has items with different chance rates
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* @param victim
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* @param killer
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* @param applyKillerModifier if to modify chance by {@link GroupedGeneralDropItem#getKillerChanceModifier(L2Character, L2Character)}
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* @param chanceModifier an additional chance modifier
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* @return a new normalized group with all drop modifiers applied
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*/
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private final GroupedGeneralDropItem normalizeMe(L2Character victim, L2Character killer, boolean applyKillerModifier, double chanceModifier)
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{
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if (applyKillerModifier)
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{
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chanceModifier *= (getKillerChanceModifier(victim, killer));
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}
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double sumchance = 0;
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for (GeneralDropItem item : getItems())
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{
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sumchance += (item.getChance(victim, killer) * getChance() * chanceModifier) / 100;
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}
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final GroupedGeneralDropItem group = new GroupedGeneralDropItem(sumchance, getDropCalculationStrategy(), IKillerChanceModifierStrategy.NO_RULES, getPreciseStrategy()); // to discard further deep blue calculations
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final List<GeneralDropItem> items = new ArrayList<>();
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for (GeneralDropItem item : getItems())
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{
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// the item is made almost "static"
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items.add(new GeneralDropItem(item.getItemId(), item.getMin(victim, killer), item.getMax(victim, killer), (item.getChance(victim, killer) * getChance() * chanceModifier) / sumchance, IAmountMultiplierStrategy.STATIC, IChanceMultiplierStrategy.STATIC, getPreciseStrategy(), IKillerChanceModifierStrategy.NO_RULES, item.getDropCalculationStrategy()));
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}
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group.setItems(items);
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return group;
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}
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@Override
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public final List<ItemHolder> calculateDrops(L2Character victim, L2Character killer)
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{
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return _dropCalculationStrategy.calculateDrops(this, victim, killer);
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}
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/**
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* This handles by default deep blue drop rules. It may also be used to handle another drop chance rules based on killer
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* @param victim the victim who drops the item
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* @param killer who kills the victim
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* @return a number between 0 and 1 (usually)
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*/
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public final double getKillerChanceModifier(L2Character victim, L2Character killer)
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{
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return _killerChanceModifierStrategy.getKillerChanceModifier(this, victim, killer);
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}
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public boolean isPreciseCalculated()
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{
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return _preciseStrategy.isPreciseCalculated(this);
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}
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}
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