class Node():
def __init__(self, model, child_number=None, filename=None):
pass
if child_number is not None:
pass
self._filename = 'tmp' + str(child_number) + '.vsp3'
elif filename is not None:
self._filename = filename
self._model = copy.copy(model)
self.h = None
def get_model(self):
pass
return self._model
def load_model(self):
pass
self._model = VspModel(self._filename)
def set_filename(filename):
pass
self._filename = filename
def set_model_param(self, id, value):
pass
self._model.set_param(id=id, value=value)
self.save_model()
self.load_model()
self.h = self._model.h()
print('->', self.h)
def save_model(self):
pass
self._model.save_file(self._filename)
class Node():
def __init__(self, model, child_number=None, filename=None):
pass
if child_number is not None:
pass
self._filename = 'tmp' + str(child_number) + '.vsp3'
elif filename is not None:
self._filename = filename
self._mutations = []
self._model = copy.copy(model)
self.h = None
def get_model(self):
pass
return self._model
def get_mutations(self):
pass
return self._mutations
def load_model(self):
pass
self._model = VspModel(self._filename)
def set_filename(self, filename):
pass
self._filename = filename
def set_model_param(self, id, value):
pass
self._model.set_param(id=id, value=value)
self.save_model()
self.load_model()
self.h = self._model.h()
print('->', self.h)
self._mutations.append({'id': id, 'value': value})
def set_model_params(self, params):
pass
for mutation in params:
pass
self._model.set_param(id=mutation['id'], value=mutation['value'])
self._mutations.append({
'id': mutation['id'],
'value': mutation['value']
})
self.save_model()
self.load_model()
self.h = self._model.h()
print('->', self.h)
def save_model(self):
pass
self._model.save_file(self._filename)
def load_model(self):
pass
self._model = VspModel(self._filename)
c = 0.30 # change factor (multiply values by this)
dc = 0.9 # rate of change in c
r = 1.0 # probability of making a wrong step
dr = 0.8 # rate of change of randomness probability
h = 0 # current heuristic value
old_h = None # previous heuristic value
# minimum size constraints so we have space inside the plane
tail_min_width = 0.5
tail_min_height = 0.5
cockpit_min_width = 2
cockpit_min_height = 3.5
nose_min_height = 3
starting_model = VspModel(filename)
parent = Node(starting_model, filename=filename)
parent.h = 99
while t > 0:
pass
i = 0
manager = multiprocessing.Manager()
parent.load_model()
model = parent.get_model()
sections = model['FuselageBase']['XSec']
jobs = []
child_number = 0
children = manager.list()
performance = {'h': [], 'c': [], 't': []}
t = 100 # number of iterations
c = 0.40 # change factor (multiply values by this)
h = 0 # current heuristic value
old_h = None # previous heuristic value
# minimum size constraints so we have space inside the plane
tail_min_width = 0.5
tail_min_height = 0.5
cockpit_min_width = 2
cockpit_min_height = 3.5
nose_min_height = 3
model = VspModel(filename)
while t > 0:
pass
i = 0
# open file
# modify by constant
base_sections = model['FuselageBase']['XSecCurve']
slope_sections = model['FuselageBase']['XSec']
tail_sections = model['TailFuselage']['XSecCurve']
for i in range(0, len(base_sections)):
pass
for element in base_sections[i]:
pass
if 'Width' in element:
pass