Replace submodules with actual files

Submodules never were actually useful
This commit is contained in:
DarkPhoenix
2013-06-10 22:12:34 +04:00
parent 91513d7d95
commit fd36a0b172
2940 changed files with 105139 additions and 0 deletions

116
eos/graph/__init__.py Executable file
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#===============================================================================
# Copyright (C) 2010 Diego Duclos
#
# This file is part of eos.
#
# eos is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 2 of the License, or
# (at your option) any later version.
#
# eos 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 Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with eos. If not, see <http://www.gnu.org/licenses/>.
#===============================================================================
import itertools
class Graph(object):
def __init__(self, fit, function, data = None):
self.fit = fit
self.data = {}
if data is not None:
for name, d in data.iteritems():
self.setData(Data(name, d))
self.function = function
def clearData(self):
self.data.clear()
def setData(self, data):
self.data[data.name] = data
def getIterator(self):
pointNames = []
pointIterators = []
for data in self.data.itervalues():
pointNames.append(data.name)
pointIterators.append(data)
return self._iterator(pointNames, pointIterators)
def _iterator(self, pointNames, pointIterators):
for pointValues in itertools.product(*pointIterators):
point = {}
for i in xrange(len(pointValues)):
point[pointNames[i]] = pointValues[i]
yield point, self.function(point)
class Data(object):
def __init__(self, name, dataString, step=None):
self.name = name
self.step = step
self.data = self.parseString(dataString)
def parseString(self, dataString):
if not isinstance(dataString, basestring):
return (Constant(dataString),)
dataList = []
for data in dataString.split(";"):
if isinstance(data, basestring) and "-" in data:
#Dealing with a range
dataList.append(Range(data, self.step))
else:
dataList.append(Constant(data))
return dataList
def __iter__(self):
for data in self.data:
for value in data:
yield value
def isConstant(self):
return len(self.data) == 1 and self.data[0].isConstant()
class Constant(object):
def __init__(self, const):
if isinstance(const, basestring):
self.value = None if const == "" else float(const)
else:
self.value = const
def __iter__(self):
yield self.value
def isConstant(self):
return True
class Range(object):
def __init__(self, string, step):
start, end = string.split("-")
self.start = float(start)
self.end = float(end)
self.step = step
def __iter__(self):
current = start = self.start
end = self.end
step = self.step or (end - start) / 50.0
i = 1
while current < end:
current = start + i * step
i += 1
yield current
def isConstant(self):
return False

98
eos/graph/fitDps.py Executable file
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#===============================================================================
# Copyright (C) 2010 Diego Duclos
#
# This file is part of eos.
#
# eos is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 2 of the License, or
# (at your option) any later version.
#
# eos 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 Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with eos. If not, see <http://www.gnu.org/licenses/>.
#===============================================================================
from eos.graph import Graph, Data
from eos.types import Hardpoint, State
from math import log, sin, radians
class FitDpsGraph(Graph):
defaults = {"angle": 0,
"distance": 0,
"signatureRadius": None,
"velocity": 0}
def __init__(self, fit, data=None):
Graph.__init__(self, fit, self.calcDps, data if data is not None else self.defaults)
self.fit = fit
def calcDps(self, data):
fit = self.fit
total = 0
distance = data["distance"] * 1000
for mod in fit.modules:
if mod.hardpoint == Hardpoint.TURRET:
if mod.state >= State.ACTIVE:
total += mod.dps * self.calculateTurretMultiplier(mod, data)
elif mod.hardpoint == Hardpoint.MISSILE:
if mod.state >= State.ACTIVE and mod.maxRange >= distance:
total += mod.dps * self.calculateMissileMultiplier(mod, data)
if distance <= fit.extraAttributes["droneControlRange"]:
for drone in fit.drones:
multiplier = 1 if drone.getModifiedItemAttr("maxVelocity") > 0 else self.calculateTurretMultiplier(drone, data)
total += drone.dps * multiplier
return total
def calculateMissileMultiplier(self, mod, data):
targetSigRad = data["signatureRadius"]
targetVelocity = data["velocity"]
explosionRadius = mod.getModifiedChargeAttr("aoeCloudSize")
targetSigRad = explosionRadius if targetSigRad is None else targetSigRad
explosionVelocity = mod.getModifiedChargeAttr("aoeVelocity")
damageReductionFactor = mod.getModifiedChargeAttr("aoeDamageReductionFactor")
damageReductionSensitivity = mod.getModifiedChargeAttr("aoeDamageReductionSensitivity")
sigRadiusFactor = targetSigRad / explosionRadius
if targetVelocity:
velocityFactor = (explosionVelocity / explosionRadius * targetSigRad / targetVelocity) ** (log(damageReductionFactor) / log(damageReductionSensitivity))
else:
velocityFactor = 1
return min(sigRadiusFactor, velocityFactor, 1)
def calculateTurretMultiplier(self, mod, data):
#Source for most of turret calculation info: http://wiki.eveonline.com/en/wiki/Falloff
chanceToHit = self.calculateTurretChanceToHit(mod, data)
if chanceToHit > 0.01:
#AvgDPS = Base Damage * [ ( ChanceToHit^2 + ChanceToHit + 0.0499 ) / 2 ]
multiplier = (chanceToHit ** 2 + chanceToHit + 0.0499) / 2
else:
#All hits are wreckings
multiplier = chanceToHit * 3
dmgScaling = mod.getModifiedItemAttr("turretDamageScalingRadius")
if dmgScaling:
targetSigRad = data["signatureRadius"]
multiplier = min(1, (float(targetSigRad) / dmgScaling) ** 2)
return multiplier
def calculateTurretChanceToHit(self, mod, data):
distance = data["distance"] * 1000
tracking = mod.getModifiedItemAttr("trackingSpeed")
turretOptimal = mod.maxRange
turretFalloff = mod.falloff
turretSigRes = mod.getModifiedItemAttr("optimalSigRadius")
targetSigRad = data["signatureRadius"]
targetSigRad = turretSigRes if targetSigRad is None else targetSigRad
transversal = sin(radians(data["angle"])) * data["velocity"]
trackingEq = (((transversal / (distance * tracking)) *
(turretSigRes / targetSigRad)) ** 2)
rangeEq = ((max(0, distance - turretOptimal)) / turretFalloff) ** 2
return 0.5 ** (trackingEq + rangeEq)