Reformatting eos.graph
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Ebag333
@@ -1,4 +1,4 @@
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#===============================================================================
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# ===============================================================================
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# Copyright (C) 2010 Diego Duclos
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#
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# This file is part of eos.
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@@ -15,12 +15,13 @@
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#
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# You should have received a copy of the GNU Lesser General Public License
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# along with eos. If not, see <http://www.gnu.org/licenses/>.
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#===============================================================================
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# ===============================================================================
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import itertools
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class Graph(object):
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def __init__(self, fit, function, data = None):
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def __init__(self, fit, function, data=None):
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self.fit = fit
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self.data = {}
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if data is not None:
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@@ -39,8 +40,8 @@ class Graph(object):
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pointNames = []
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pointIterators = []
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for data in self.data.itervalues():
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pointNames.append(data.name)
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pointIterators.append(data)
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pointNames.append(data.name)
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pointIterators.append(data)
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return self._iterator(pointNames, pointIterators)
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@@ -66,7 +67,7 @@ class Data(object):
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dataList = []
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for data in dataString.split(";"):
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if isinstance(data, basestring) and "-" in data:
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#Dealing with a range
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# Dealing with a range
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dataList.append(Range(data, self.step))
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else:
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dataList.append(Constant(data))
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@@ -95,6 +96,7 @@ class Constant(object):
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def isConstant(self):
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return True
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class Range(object):
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def __init__(self, string, step):
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start, end = string.split("-")
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@@ -1,4 +1,4 @@
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#===============================================================================
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# ===============================================================================
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# Copyright (C) 2010 Diego Duclos
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#
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# This file is part of eos.
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@@ -15,12 +15,14 @@
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#
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# You should have received a copy of the GNU Lesser General Public License
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# along with eos. If not, see <http://www.gnu.org/licenses/>.
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#===============================================================================
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# ===============================================================================
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from eos.graph import Graph, Data
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from eos.types import Hardpoint, State
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from math import log, sin, radians, exp
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from eos.graph import Graph
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from eos.types import Hardpoint, State
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class FitDpsGraph(Graph):
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defaults = {"angle": 0,
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"distance": 0,
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@@ -32,7 +34,7 @@ class FitDpsGraph(Graph):
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self.fit = fit
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def calcDps(self, data):
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ew = {'signatureRadius':[],'velocity':[]}
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ew = {'signatureRadius': [], 'velocity': []}
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fit = self.fit
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total = 0
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distance = data["distance"] * 1000
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@@ -41,13 +43,17 @@ class FitDpsGraph(Graph):
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for mod in fit.modules:
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if not mod.isEmpty and mod.state >= State.ACTIVE:
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if "remoteTargetPaintFalloff" in mod.item.effects:
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ew['signatureRadius'].append(1+(mod.getModifiedItemAttr("signatureRadiusBonus") / 100) * self.calculateModuleMultiplier(mod, data))
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ew['signatureRadius'].append(
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1 + (mod.getModifiedItemAttr("signatureRadiusBonus") / 100) * self.calculateModuleMultiplier(
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mod, data))
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if "remoteWebifierFalloff" in mod.item.effects:
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if distance <= mod.getModifiedItemAttr("maxRange"):
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ew['velocity'].append(1+(mod.getModifiedItemAttr("speedFactor") / 100))
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ew['velocity'].append(1 + (mod.getModifiedItemAttr("speedFactor") / 100))
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elif mod.getModifiedItemAttr("falloffEffectiveness") > 0:
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#I am affected by falloff
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ew['velocity'].append(1+(mod.getModifiedItemAttr("speedFactor") / 100) * self.calculateModuleMultiplier(mod, data))
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# I am affected by falloff
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ew['velocity'].append(
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1 + (mod.getModifiedItemAttr("speedFactor") / 100) * self.calculateModuleMultiplier(mod,
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data))
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ew['signatureRadius'].sort(key=abssort)
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ew['velocity'].sort(key=abssort)
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@@ -63,7 +69,7 @@ class FitDpsGraph(Graph):
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pass
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for mod in fit.modules:
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dps, _ = mod.damageStats(fit.targetResists)
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dps, _ = mod.damageStats(fit.targetResists)
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if mod.hardpoint == Hardpoint.TURRET:
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if mod.state >= State.ACTIVE:
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total += dps * self.calculateTurretMultiplier(mod, data)
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@@ -74,8 +80,9 @@ class FitDpsGraph(Graph):
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if distance <= fit.extraAttributes["droneControlRange"]:
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for drone in fit.drones:
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multiplier = 1 if drone.getModifiedItemAttr("maxVelocity") > 1 else self.calculateTurretMultiplier(drone, data)
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dps, _ = drone.damageStats(fit.targetResists)
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multiplier = 1 if drone.getModifiedItemAttr("maxVelocity") > 1 else self.calculateTurretMultiplier(
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drone, data)
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dps, _ = drone.damageStats(fit.targetResists)
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total += dps * multiplier
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# this is janky as fuck
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@@ -98,20 +105,21 @@ class FitDpsGraph(Graph):
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sigRadiusFactor = targetSigRad / explosionRadius
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if targetVelocity:
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velocityFactor = (explosionVelocity / explosionRadius * targetSigRad / targetVelocity) ** damageReductionFactor
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velocityFactor = (
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explosionVelocity / explosionRadius * targetSigRad / targetVelocity) ** damageReductionFactor
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else:
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velocityFactor = 1
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return min(sigRadiusFactor, velocityFactor, 1)
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def calculateTurretMultiplier(self, mod, data):
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#Source for most of turret calculation info: http://wiki.eveonline.com/en/wiki/Falloff
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# Source for most of turret calculation info: http://wiki.eveonline.com/en/wiki/Falloff
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chanceToHit = self.calculateTurretChanceToHit(mod, data)
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if chanceToHit > 0.01:
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#AvgDPS = Base Damage * [ ( ChanceToHit^2 + ChanceToHit + 0.0499 ) / 2 ]
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# AvgDPS = Base Damage * [ ( ChanceToHit^2 + ChanceToHit + 0.0499 ) / 2 ]
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multiplier = (chanceToHit ** 2 + chanceToHit + 0.0499) / 2
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else:
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#All hits are wreckings
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# All hits are wreckings
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multiplier = chanceToHit * 3
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dmgScaling = mod.getModifiedItemAttr("turretDamageScalingRadius")
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if dmgScaling:
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@@ -135,14 +143,15 @@ class FitDpsGraph(Graph):
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damageReductionSensitivity = ability.fighter.getModifiedItemAttr("{}ReductionSensitivity".format(prefix))
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if damageReductionSensitivity is None:
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damageReductionSensitivity = ability.fighter.getModifiedItemAttr("{}DamageReductionSensitivity".format(prefix))
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damageReductionSensitivity = ability.fighter.getModifiedItemAttr(
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"{}DamageReductionSensitivity".format(prefix))
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targetSigRad = explosionRadius if targetSigRad is None else targetSigRad
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sigRadiusFactor = targetSigRad / explosionRadius
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if targetVelocity:
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velocityFactor = (explosionVelocity / explosionRadius * targetSigRad / targetVelocity) ** (
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log(damageReductionFactor) / log(damageReductionSensitivity))
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log(damageReductionFactor) / log(damageReductionSensitivity))
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else:
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velocityFactor = 1
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@@ -164,8 +173,8 @@ class FitDpsGraph(Graph):
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return 0.5 ** (trackingEq + rangeEq)
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def calculateModuleMultiplier(self, mod, data):
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#Simplified formula, we make some assumptions about the module
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#This is basically the calculateTurretChanceToHit without tracking values
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# Simplified formula, we make some assumptions about the module
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# This is basically the calculateTurretChanceToHit without tracking values
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distance = data["distance"] * 1000
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turretOptimal = mod.maxRange
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turretFalloff = mod.falloff
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