tests updated

Author: A-Vamshi

tests/test_core/test_optimization/test_copro/test_configs.py

@@ -1,32 +1,34 @@
 from __future__ import annotations
 
-import pytest
+import random
 
 from deepeval.optimizer.algorithms import COPRO
 
 
-def test_copro_defaults():
+def test_copro_defaults() -> None:
     algo = COPRO()
+    assert algo.depth == 4
+    assert algo.breadth == 7
+    assert algo.minibatch_size == 25
+    assert isinstance(algo.random_state, random.Random)
+    assert isinstance(algo.seed, int)
 
-    # Base defaults
-    assert algo.iterations == 5
-    assert algo.minibatch_size == 8
-    assert algo.exploration_probability == 0.2
-    assert algo.full_eval_every == 5
-    assert isinstance(algo.random_seed, int)
 
-    # COPRO-specific defaults
-    assert algo.population_size == 4
-    assert algo.proposals_per_step == 4
+def test_copro_accepts_explicit_random_state() -> None:
+    r = random.Random(123)
+    algo = COPRO(random_state=r)
+    assert algo.random_state is r
+    assert isinstance(algo.seed, int)
 
 
-@pytest.mark.parametrize("value", [0, -1])
-def test_copro_rejects_non_positive_population_size(value: int):
-    with pytest.raises(ValueError):
-        COPRO(population_size=value)
+def test_copro_int_random_state_sets_seed() -> None:
+    algo = COPRO(random_state=99)
+    assert algo.seed == 99
+    assert isinstance(algo.random_state, random.Random)
 
 
-@pytest.mark.parametrize("value", [0, -3])
-def test_copro_rejects_non_positive_proposals_per_step(value: int):
-    with pytest.raises(ValueError):
-        COPRO(proposals_per_step=value)
+def test_copro_allows_minimal_hyperparameters() -> None:
+    algo = COPRO(depth=1, breadth=1, minibatch_size=1, random_state=0)
+    assert algo.depth == 1
+    assert algo.breadth == 1
+    assert algo.minibatch_size == 1