Refactor genotype obtention into a function

src/genetic_algorithm.py

@@ -10,12 +10,16 @@ def get_first_random_solution(n, m):
     return solution
 
 
+def get_genotype(element):
+    genotype = where(element == True)
+    return genotype[0]
+
+
 def evaluate_element(element, data):
     fitness = []
-    genotype = where(element == True)
-    indexes = genotype[0]
-    distances = data.query(f"source in @indexes and destination in @indexes")
-    for item in indexes[:-1]:
+    genotype = get_genotype(element)
+    distances = data.query(f"source in @genotype and destination in @genotype")
+    for item in genotype[:-1]:
         element_df = distances.query(f"source == {item} or destination == {item}")
         max_distance = element_df["distance"].astype(float).max()
         fitness = append(arr=fitness, values=max_distance)