Commence declassification of Evaluator

Pointless to have a separate object for the Evaluator when a collection
of evaluator.py methods does the trick.

1 files changed, 47 insertions, 0 deletions

diff --git a/generator/generator.py b/generator/generator.py
new file mode 100644
index 0000000..3af4850
--- /dev/null
+++ b/generator/generator.py
@@ -0,0 +1,47 @@
+"""
+The generator.py module contains classes describing genetic populations
+and methods to generate default aircraft.
+"""
+
+import random
+
+import creator
+import evaluator
+
+
+def default_aircraft(evaluator_instance):
+    """Generate a default aircraft with a random name."""
+    name = 'default_aircraft_' + str(random.randrange(1000, 9999))
+    aircraft = creator.base.Aircraft(evaluator_instance, name)
+    airfoil = creator.wing.Airfoil(aircraft, 'default_airfoil')
+    airfoil.add_naca(2412)
+    soar1 = creator.wing.Spar(airfoil, 'default_spar_1', 0.30)
+    soar2 = creator.wing.Spar(airfoil, 'default_spar_2', 0.60)
+    stringer = creator.wing.Stringer(airfoil, 'default_stringer')
+    return aircraft
+
+
+def default_fuselage():
+    pass
+
+
+def default_propulsion():
+    pass
+
+
+class Population():
+    """Collection of random airfoils."""
+    def __init__(self, size):
+        af = creator.Airfoil
+        # print(af)
+        self.size = size
+        self.gen_number = 0  # incremented for every generation
+
+    def mutate(self, prob_mt):
+        """Randomly mutate the genes of prob_mt % of the population."""
+    def crossover(self, prob_cx):
+        """Combine the genes of prob_cx % of the population."""
+    def reproduce(self, prob_rp):
+        """Pass on the genes of the fittest prob_rp % of the population."""
+    def fitness():
+        """Rate the fitness of an individual on a relative scale (0-100)"""