feat: add new dummy alg. - IDENTITY

Author: WojtAcht

dynamicalgorithmselection/optimizers/EXAMPLE/IDENTITY.py

@@ -0,0 +1,33 @@
+import numpy as np
+
+from dynamicalgorithmselection.optimizers.Optimizer import Optimizer
+
+
+class IDENTITY(Optimizer):
+    """An optimizer that returns the same x, y it received — a no-op pass-through."""
+
+    def __init__(self, problem, options):
+        Optimizer.__init__(self, problem, options)
+        self.n_individuals = 1
+
+    def optimize(self, fitness_function=None, args=None):
+        fitness = Optimizer.optimize(self, fitness_function)
+        x = self.start_conditions.get("x", None)
+
+        if x is None:
+            x = self.rng_initialization.uniform(
+                self.initial_lower_boundary,
+                self.initial_upper_boundary,
+            )
+
+        while not self._check_terminations():
+            self._evaluate_fitness(x)
+
+        return self._collect(fitness)
+
+    def _collect(self, fitness):
+        for i in range(1, len(fitness)):
+            if np.isnan(fitness[i]):
+                fitness[i] = fitness[i - 1]
+        results = Optimizer._collect(self, fitness)
+        return results