def LoadFromFile(self, filename):
''' Load map from file.
Example of proper constructed file:
" line_1: 100 200 270 // car: position (2 first), rotation (lat one)
line_2: 300 400 90 2.5 0.5 // 1st barrier: position (2 first), rotation (middle), scale (2 last)
line_3: 600 700 180 2 1 // 2nd barrier: position (2 first), rotation (middle), scale (2 last)
line_4: 100 100 45 1.2 1.2 // 3rd barrier: position (2 first), rotation (middle), scale (2 last)
.
.
.
line_n+1: 350 100 30 1.5 1.5 // n'st barrier: position (2 first), rotation (middle), scale (2 last)
'''
lines = FilesManager.LinesFromFile(filename)
# Divide the data into parts for the car and barriers respectively
firstLine, rest = lines[0], lines[1:]
# Convert to list of floats
firstLine = BuiltInTypesConverter.StringToFloats(firstLine)
# Unpack
rawCarSuggestedPos, rawCarSuggestedRot = firstLine[0:2], firstLine[4]
# Convert to our coordinate system.
carSuggestedPos, carSuggestedRot = Map.ConvertPos(
rawCarSuggestedPos), Map.ConvertRot(rawCarSuggestedRot)
# Create the right objects.
self.carSuggestedPos, self.carSuggestedRot = Point(
carSuggestedPos), carSuggestedRot
# Steps in loop below are similar to steps above.
for line in rest:
line = BuiltInTypesConverter.StringToFloats(line)
rawPos, rawRot, rawScale = line[0:2], line[4], line[2:4]
pos, rot, scale = Map.ConvertPos(rawPos), Map.ConvertRot(
rawRot), Map.ConvertScale(rawScale)
barrier = Barrier()
barrier.pos, barrier.rot, barrier.scale = Point(pos), rot, Vector(
scale)
# Calculate parameters necessary for algorithms.
barrier.Create()
self.listOfBarriers.append(barrier)
def LoadPopulation(cls, filename):
''' Load final population from previous experiment and set it as starting population.
Be aware that every line in file contains saved wages of one individual.
'''
lines = FilesManager.LinesFromFile(filename)
cls.startingPopulation = cls.toolbox.population(len(lines))
for individual, line in zip(cls.startingPopulation, lines):
importedWages = BuiltInTypesConverter.StringToFloats(line)
for _ in range(len(individual)):
# Remember that "Pattern" derives from "list", so we need to use old-fashioned style.
individual.wages[_] = importedWages[_]
# Starting population won't be randomly generated.
cls.startFromRandomPopulation = False