# ============================================================================= # Copyright (C) 2010 Diego Duclos # # This file is part of pyfa. # # pyfa is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # pyfa is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with pyfa. If not, see . # ============================================================================= from graphs.data.base import FitGraph, XDef, YDef, Input class FitRemoteRepsGraph(FitGraph): # UI stuff internalName = 'remoteRepsGraph' name = 'Remote Repairs' xDefs = [ XDef(handle='distance', unit='km', label='Distance', mainInput=('distance', 'km')), XDef(handle='time', unit='s', label='Time', mainInput=('time', 's'))] yDefs = [ YDef(handle='rps', unit='HP/s', label='Repair speed'), YDef(handle='total', unit='HP', label='Total repaired')] inputs = [ Input(handle='time', unit='s', label='Time', iconID=1392, defaultValue=None, defaultRange=(0, 80), secondaryTooltip='When set, uses repairing ship\'s exact RR stats at a given time\nWhen not set, uses attacker\'s RR stats as shown in stats panel of main window'), Input(handle='distance', unit='km', label='Distance', iconID=1391, defaultValue=None, defaultRange=(0, 100), mainTooltip='Distance between the repairing ship and the target, as seen in overview (surface-to-surface)', secondaryTooltip='Distance between the repairing ship and the target, as seen in overview (surface-to-surface)')] srcExtraCols = () # Calculation stuff _normalizers = {('distance', 'km'): lambda v, src, tgt: None if v is None else v * 1000} _limiters = {'time': lambda src, tgt: (0, 2500)} _getters = {} _denormalizers = {('distance', 'km'): lambda v, src, tgt: None if v is None else v / 1000}