def getAllDestinations(self): results = self.destinationDao.getAllSyntheticDestinations(self.distType) for row in results: newDestination = Destination.Destination(row['destinationid'], row['x'], row['y'], row['demand']) newDestination.x = round(newDestination.x, 4) newDestination.y = round(newDestination.y, 4) self.destinations[newDestination.id] = newDestination self.n = len(self.destinations)
def getAllDestinations(self):
results = self.destinationDao.getAllSyntheticDestinations(self.distType)
for row in results:
newDestination = Destination.Destination(row['destinationid'], row['x'], row['y'], row['demand'])
self.destinations[newDestination.id] = newDestination
newDestination.x = round(newDestination.x, 2)
newDestination.y = round(newDestination.y, 2)
#print('x = ' + str(newDestination.x)+ ', y = ' + str(newDestination.y))
self.n = len(self.destinations)
def getAllDestinations(self):
#results = self.destinationDao.getAllSyntheticDestinations(self.distType)
results = self.destinationDao.getAllDestinations()
for row in results:
newDestination = Destination.Destination(row['destinationid'],
row['x'], row['y'],
row['demand'])
self.destinations[newDestination.id] = newDestination
self.n = len(self.destinations)
def getAllDestinations(self):
results = self.destinationDao.getAllSyntheticDestinations(
self.distType)
for row in results:
newDestination = Destination.Destination(row['destinationid'],
row['x'], row['y'],
row['demand'])
self.totalDemandInTheRegion += int(row['demand'])
self.destinations[newDestination.id] = newDestination
self.n = len(self.destinations)
print("Number of destintions " + str(self.n))
def findClosestDestination(self, x, y):
tempDestination = Destination.Destination(-1, x, y, 0)
# print(" FInd closest for " + str(x) + ", " + str(y))
minDistance = sys.maxsize
closestDest = None
for d in self.destinations:
distance = self.util.calculateDistanceBetweenDestinations(self.destinations.get(d), tempDestination)
if minDistance > distance:
# print("UPDATING MIN DISTANCE " + str(d))
minDistance = distance
closestDest = self.destinations.get(d)
return closestDest
def getAllDestinations(self):
#results = self.destinationDao.getAllSyntheticDestinations(self.distType)
results = self.destinationDao.getAllDestinations()
index = 0
for row in results:
newDestination = Destination.Destination(row['destinationid'],
row['x'], row['y'],
row['demand'])
entry = []
entry.append(row['x'])
entry.append(row['y'])
self.destinationData.append(entry)
self.destinationIds[index] = row['destinationid']
self.totalDemandInTheRegion += int(row['demand'])
self.destinations[newDestination.id] = newDestination
index += 1
self.n = len(self.destinations)
def createDestinations(self):
mu = params['mean']
std = params['std']
assignedCells = []
availableCells = []
destination = Destination.Destination(1, -1, -1, 0)
demandToBeAssigned = int(numpy.random.normal(loc=mu, scale=std))
assigned = 0
print("grid size " + str(len(self.pmgrid.grid)))
assignedCellIndex = 0
i = self.pmgrid.grid[0]
totalPop = 0
for cellIndex in self.pmgrid.grid:
cell = self.pmgrid.grid.get(cellIndex)
availableCells.append(cell.id)
totalPop += cell.pCount
print("sum of cellss = " + str(totalPop))
pop = 0
did = 1
minCell = None
while assigned < len(self.pmgrid.grid) and len(availableCells) > 0:
if len(destination.cells
) == 0 or destination.demand > demandToBeAssigned:
# print("Assigned = " + str(assigned))
print("Population till now= " + str(pop))
assigendPop = self.getPopulationFromCellsInArray(assignedCells)
remainingPop = self.getPopulationFromCellsInArray(
availableCells)
print("assigned POP " + str(assigendPop) + ", available pop " +
str(remainingPop))
t = assigendPop + remainingPop
print("total - " + str(t))
print("\n\n OO Lala New Destination")
if destination.demand >= demandToBeAssigned:
self.destinations.append(destination)
print("assignment status for" + str(i.id) + " is " +
str(i.assigned))
if i.id in availableCells:
i.assigned = True
destination = Destination.Destination(did, -1, -1, 0)
did += 1
destination.cells.append(i)
availableCells.remove(i.id)
assignedCells.append(i.id)
destination.x = i.point.x
destination.y = i.point.y
destination.demand += i.pCount
assigned = len(assignedCells)
pop += i.pCount
demandToBeAssigned = int(numpy.random.normal(loc=mu,
scale=std))
print("Demand to be assigned " + str(demandToBeAssigned))
while (destination.demand <= demandToBeAssigned):
# print("current demand = " + str(destination.demand))
# print("Total POP assigned " + str(pop) )
if (assigned < len(self.pmgrid.grid) and pop <= totalPop):
if (len(availableCells) > 0):
# print("Available Cells " + str(len(availableCells)))
# print("Assigned gc = " + str(assigned))
median = self.getCurrentMedian(destination)
minCell = self.getClosestCell(median, availableCells)
# print("assignment status for " + str(minCell) + str(minCell.assigned))
if minCell.id in availableCells:
assignedCells.append(minCell.id)
availableCells.remove(minCell.id)
destination.cells.append(minCell)
minCell.assigned = True
destination.demand += minCell.pCount
pop += minCell.pCount
assigned = len(assignedCells)
else:
print("Blasphemy")
print(availableCells)
print("Min cell id" + str(minCell.id))
else:
break
else:
break
if minCell is not None:
if len(availableCells) > 0:
i = self.getClosestCell(minCell.point, availableCells)
else:
break
print("Available Cells " + str(len(availableCells)))
print("assigned Cells " + str(len(assignedCells)))
if pop > totalPop:
break
print("DID: " + str(did))
print("Len of assigned cells = " + str(len(assignedCells)))
print("Len of available cells = " + str(len(availableCells)))