def getRandomGrid(diameter, loopsComplex, maximumComplex, minimumComplex, xmlElement):
"Get rectangular grid."
packingDensity = evaluate.getEvaluatedFloatByKeys(0.2, ['packingDensity', 'density'], xmlElement)
gridPath = []
diameterReciprocal = complex(1.0 / diameter.real, 1.0 / diameter.imag)
diameterSquared = diameter.real * diameter.real + diameter.imag * diameter.imag
elements = int(math.ceil(packingDensity * euclidean.getAreaLoops(loopsComplex) / diameterSquared / math.sqrt(0.75)))
elements = evaluate.getEvaluatedIntDefault(elements, 'elements', xmlElement)
failedPlacementAttempts = 0
pixelDictionary = {}
seed = evaluate.getEvaluatedIntDefault(None, 'seed', xmlElement)
if seed != None:
random.seed(seed)
successfulPlacementAttempts = 0
while failedPlacementAttempts < 100:
point = euclidean.getRandomComplex(minimumComplex, maximumComplex)
if getIsPointInsideZoneAwayOthers(diameterReciprocal, loopsComplex, point, pixelDictionary):
gridPath.append(point)
euclidean.addElementToPixelListFromPoint(point, pixelDictionary, point)
successfulPlacementAttempts += 1
else:
failedPlacementAttempts += 1
if successfulPlacementAttempts >= elements:
return gridPath
return gridPath
def getRandomGrid(derivation, diameter, elementNode, loopsComplex,
maximumComplex, minimumComplex):
'Get rectangular grid.'
gridPath = []
diameterReciprocal = complex(1.0 / diameter.real, 1.0 / diameter.imag)
diameterSquared = diameter.real * diameter.real + diameter.imag * diameter.imag
elements = int(
math.ceil(derivation.density * euclidean.getAreaLoops(loopsComplex) /
diameterSquared / math.sqrt(0.75)))
elements = evaluate.getEvaluatedInt(elements, elementNode, 'elements')
failedPlacementAttempts = 0
pixelDictionary = {}
if derivation.seed != None:
random.seed(derivation.seed)
successfulPlacementAttempts = 0
while failedPlacementAttempts < 100:
point = euclidean.getRandomComplex(minimumComplex, maximumComplex)
if getIsPointInsideZoneAwayOthers(diameterReciprocal, loopsComplex,
point, pixelDictionary):
gridPath.append(point)
euclidean.addElementToPixelListFromPoint(point, pixelDictionary,
point)
successfulPlacementAttempts += 1
else:
failedPlacementAttempts += 1
if successfulPlacementAttempts >= elements:
return gridPath
return gridPath
def __init__(self, elementNode):
'Initialize.'
elementNode.attributes['closed'] = 'true'
self.density = evaluate.getEvaluatedFloat(1.0, elementNode, 'density')
self.minimumRadiusOverThickness = evaluate.getEvaluatedFloat(1.0, elementNode, 'minimumRadiusOverThickness')
self.mobile = evaluate.getEvaluatedBoolean(False, elementNode, 'mobile')
self.inradius = lineation.getInradius(complex(10.0, 10.0), elementNode)
self.path = None
if 'path' in elementNode.attributes:
self.path = evaluate.getPathByKey([], elementNode, 'path')
self.searchAttempts = evaluate.getEvaluatedInt(0, elementNode, 'searchAttempts')
self.searchRadiusOverRadius = evaluate.getEvaluatedFloat(1.0, elementNode, 'searchRadiusOverRadius')
self.seed = evaluate.getEvaluatedInt(None, elementNode, 'seed')
self.wallThickness = evaluate.getEvaluatedFloat(2.0 * setting.getPerimeterWidth(elementNode), elementNode, 'wallThickness')
# Set derived variables.
self.halfWallThickness = 0.5 * self.wallThickness
self.inradiusMinusThickness = self.inradius - complex(self.wallThickness, self.wallThickness)
self.minimumRadius = evaluate.getEvaluatedFloat(self.minimumRadiusOverThickness * self.wallThickness, elementNode, 'minimumRadius')
self.inradiusMinusRadiusThickness = self.inradiusMinusThickness - complex(self.minimumRadius, self.minimumRadius)
self.potentialBubbleArea = 4.0 * self.inradiusMinusThickness.real * self.inradiusMinusThickness.imag
if self.path is None:
radiusPlusHalfThickness = self.minimumRadius + self.halfWallThickness
numberOfPoints = int(math.ceil(self.density * self.potentialBubbleArea / math.pi / radiusPlusHalfThickness / radiusPlusHalfThickness))
self.path = []
if self.seed is None:
self.seed = time.time()
print('Sponge slice seed used was: %s' % self.seed)
random.seed(self.seed)
for pointIndex in xrange(numberOfPoints):
point = euclidean.getRandomComplex(-self.inradiusMinusRadiusThickness, self.inradiusMinusRadiusThickness)
self.path.append(Vector3(point.real, point.imag))
def getRandomGrid(derivation, diameter, elementNode, loopsComplex, maximumComplex, minimumComplex):
"Get rectangular grid."
gridPath = []
diameterReciprocal = complex(1.0 / diameter.real, 1.0 / diameter.imag)
diameterSquared = diameter.real * diameter.real + diameter.imag * diameter.imag
elements = int(
math.ceil(derivation.density * euclidean.getAreaLoops(loopsComplex) / diameterSquared / math.sqrt(0.75))
)
elements = evaluate.getEvaluatedInt(elements, elementNode, "elements")
failedPlacementAttempts = 0
pixelDictionary = {}
if derivation.seed != None:
random.seed(derivation.seed)
successfulPlacementAttempts = 0
while failedPlacementAttempts < 100:
point = euclidean.getRandomComplex(minimumComplex, maximumComplex)
if getIsPointInsideZoneAwayOthers(diameterReciprocal, loopsComplex, point, pixelDictionary):
gridPath.append(point)
euclidean.addElementToPixelListFromPoint(point, pixelDictionary, point)
successfulPlacementAttempts += 1
else:
failedPlacementAttempts += 1
if successfulPlacementAttempts >= elements:
return gridPath
return gridPath
