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"""
Tests for ProgramDatabase in openevolve.database
"""
import unittest
import uuid
from openevolve.config import Config
from openevolve.database import Program, ProgramDatabase
class TestProgramDatabase(unittest.TestCase):
"""Tests for program database"""
def setUp(self):
"""Set up test database"""
config = Config()
config.database.in_memory = True
self.db = ProgramDatabase(config.database)
def test_add_and_get(self):
"""Test adding and retrieving a program"""
program = Program(
id="test1",
code="def test(): pass",
language="python",
metrics={"score": 0.5},
)
self.db.add(program)
retrieved = self.db.get("test1")
self.assertIsNotNone(retrieved)
self.assertEqual(retrieved.id, "test1")
self.assertEqual(retrieved.code, "def test(): pass")
self.assertEqual(retrieved.metrics["score"], 0.5)
def test_get_best_program(self):
"""Test getting the best program"""
program1 = Program(
id="test1",
code="def test1(): pass",
language="python",
metrics={"score": 0.5},
)
program2 = Program(
id="test2",
code="def test2(): pass",
language="python",
metrics={"score": 0.7},
)
self.db.add(program1)
self.db.add(program2)
best = self.db.get_best_program()
self.assertIsNotNone(best)
self.assertEqual(best.id, "test2")
def test_sample(self):
"""Test sampling from the database"""
program1 = Program(
id="test1",
code="def test1(): pass",
language="python",
metrics={"score": 0.5},
)
program2 = Program(
id="test2",
code="def test2(): pass",
language="python",
metrics={"score": 0.7},
)
self.db.add(program1)
self.db.add(program2)
parent, inspirations = self.db.sample()
self.assertIsNotNone(parent)
self.assertIn(parent.id, ["test1", "test2"])
def test_island_operations_basic(self):
"""Test basic island operations"""
# Test with default islands (should be 5 by default)
self.assertEqual(len(self.db.islands), 5)
program = Program(
id="island_test",
code="def island_test(): pass",
language="python",
metrics={"score": 0.6},
)
self.db.add(program)
# Should be in island 0
self.assertIn("island_test", self.db.islands[0])
self.assertEqual(program.metadata.get("island"), 0)
def test_multi_island_setup(self):
"""Test database with multiple islands"""
# Create new database with multiple islands
config = Config()
config.database.in_memory = True
config.database.num_islands = 3
multi_db = ProgramDatabase(config.database)
self.assertEqual(len(multi_db.islands), 3)
self.assertEqual(len(multi_db.island_best_programs), 3)
# Add programs to specific islands
for i in range(3):
program = Program(
id=f"test_island_{i}",
code=f"def test_{i}(): pass",
language="python",
metrics={"score": 0.5 + i * 0.1},
)
multi_db.add(program, target_island=i)
# Verify assignment
self.assertIn(f"test_island_{i}", multi_db.islands[i])
self.assertEqual(program.metadata.get("island"), i)
def test_feature_coordinates_calculation(self):
"""Test MAP-Elites feature coordinate calculation"""
program = Program(
id="feature_test",
code="def test(): pass", # Short code
language="python",
metrics={"score": 0.8},
)
coords = self.db._calculate_feature_coords(program)
# Should return list of coordinates
self.assertIsInstance(coords, list)
self.assertEqual(len(coords), len(self.db.config.feature_dimensions))
# All coordinates should be within valid range
for coord in coords:
self.assertGreaterEqual(coord, 0)
self.assertLess(coord, self.db.feature_bins)
def test_feature_map_operations(self):
"""Test per-island feature map operations for MAP-Elites"""
# Add some initial programs to establish diversity reference set
for i in range(3):
init_program = Program(
id=f"init_{i}",
code=f"def init_{i}(): return {i}",
language="python",
metrics={"score": 0.3},
)
self.db.add(init_program)
program1 = Program(
id="map_test1",
code="def short(): pass", # Similar complexity
language="python",
metrics={"score": 0.5},
)
program2 = Program(
id="map_test2",
code="def also_short(): pass", # Similar complexity
language="python",
metrics={"score": 0.8}, # Better score
)
self.db.add(program1)
self.db.add(program2)
# Both programs should be in the database
self.assertIn("map_test1", self.db.programs)
self.assertIn("map_test2", self.db.programs)
# Check that programs are represented in island feature maps
all_feature_map_values = []
for island_map in self.db.island_feature_maps:
all_feature_map_values.extend(island_map.values())
# At least one of our test programs should be in some island's feature map
test_programs_in_map = [v for v in all_feature_map_values if v in ["map_test1", "map_test2"]]
self.assertGreater(
len(test_programs_in_map), 0, "At least one test program should be in island feature maps"
)
# If both are in the same island's map with the same feature coordinates,
# verify the better program is kept
for island_map in self.db.island_feature_maps:
if "map_test1" in island_map.values() and "map_test2" in island_map.values():
# Find their keys in this island
key1 = key2 = None
for k, v in island_map.items():
if v == "map_test1":
key1 = k
elif v == "map_test2":
key2 = k
# If they have the same key, the better program should be kept
if key1 == key2:
self.assertEqual(island_map[key1], "map_test2")
def test_get_top_programs_with_metrics(self):
"""Test get_top_programs with specific metrics"""
program1 = Program(
id="metric_test1",
code="def test1(): pass",
language="python",
metrics={"accuracy": 0.9, "speed": 0.3},
)
program2 = Program(
id="metric_test2",
code="def test2(): pass",
language="python",
metrics={"accuracy": 0.7, "speed": 0.8},
)
self.db.add(program1)
self.db.add(program2)
# Test sorting by specific metric
top_by_accuracy = self.db.get_top_programs(n=2, metric="accuracy")
self.assertEqual(top_by_accuracy[0].id, "metric_test1") # Higher accuracy
top_by_speed = self.db.get_top_programs(n=2, metric="speed")
self.assertEqual(top_by_speed[0].id, "metric_test2") # Higher speed
def test_archive_operations(self):
"""Test archive functionality"""
# Add programs that should go into archive
for i in range(5):
program = Program(
id=f"archive_test_{i}",
code=f"def test_{i}(): return {i}",
language="python",
metrics={"score": i * 0.1},
)
self.db.add(program)
# Archive should contain program IDs
self.assertGreater(len(self.db.archive), 0)
self.assertLessEqual(len(self.db.archive), self.db.config.archive_size)
# Archive should contain program IDs that exist
for program_id in self.db.archive:
self.assertIn(program_id, self.db.programs)
def test_best_program_tracking(self):
"""Test absolute best program tracking"""
program1 = Program(
id="best_test1",
code="def test1(): pass",
language="python",
metrics={"combined_score": 0.6},
)
program2 = Program(
id="best_test2",
code="def test2(): pass",
language="python",
metrics={"combined_score": 0.9},
)
self.db.add(program1)
self.assertEqual(self.db.best_program_id, "best_test1")
self.db.add(program2)
self.assertEqual(self.db.best_program_id, "best_test2") # Should update to better program
def test_population_limit_enforcement(self):
"""Test population size limit enforcement"""
# Set small population limit
original_limit = self.db.config.population_size
self.db.config.population_size = 3
# Add more programs than limit
for i in range(5):
program = Program(
id=f"limit_test_{i}",
code=f"def test_{i}(): pass",
language="python",
metrics={"score": i * 0.1},
)
self.db.add(program)
# Population should be at or below limit
self.assertLessEqual(len(self.db.programs), 3)
# Restore original limit
self.db.config.population_size = original_limit
def test_calculate_complexity_bin_adaptive(self):
"""Test adaptive complexity binning with multiple programs"""
# Add programs with different complexities
programs = [
Program(id="short", code="x=1", metrics={"score": 0.5}),
Program(
id="medium", code="def func():\n return x*2\n pass", metrics={"score": 0.5}
),
Program(
id="long",
code="def complex_function():\n result = []\n for i in range(100):\n result.append(i*2)\n return result",
metrics={"score": 0.5},
),
]
for program in programs:
self.db.add(program)
# Test binning for different complexity values
short_bin = self.db._calculate_complexity_bin(len("x=1"))
medium_bin = self.db._calculate_complexity_bin(len("def func():\n return x*2\n pass"))
long_bin = self.db._calculate_complexity_bin(
len(
"def complex_function():\n result = []\n for i in range(100):\n result.append(i*2)\n return result"
)
)
# Bins should be different and within valid range
self.assertNotEqual(short_bin, long_bin)
self.assertGreaterEqual(short_bin, 0)
self.assertLess(short_bin, self.db.feature_bins)
self.assertGreaterEqual(long_bin, 0)
self.assertLess(long_bin, self.db.feature_bins)
def test_calculate_complexity_bin_cold_start(self):
"""Test complexity binning during cold start (< 2 programs)"""
# Empty database - should use fixed range
bin_idx = self.db._calculate_complexity_bin(500)
self.assertGreaterEqual(bin_idx, 0)
self.assertLess(bin_idx, self.db.feature_bins)
# Add one program - still cold start
program = Program(id="single", code="x=1", metrics={"score": 0.5})
self.db.add(program)
bin_idx = self.db._calculate_complexity_bin(500)
self.assertGreaterEqual(bin_idx, 0)
self.assertLess(bin_idx, self.db.feature_bins)
def test_calculate_diversity_bin_adaptive(self):
"""Test adaptive diversity binning with multiple programs"""
# Add programs with different code structures for diversity testing
programs = [
Program(id="simple", code="x = 1", metrics={"score": 0.5}),
Program(id="function", code="def add(a, b):\n return a + b", metrics={"score": 0.5}),
Program(
id="loop",
code="for i in range(10):\n print(i)\n x += i",
metrics={"score": 0.5},
),
Program(
id="complex",
code="class MyClass:\n def __init__(self):\n self.data = []\n def process(self, items):\n return [x*2 for x in items]",
metrics={"score": 0.5},
),
]
for program in programs:
self.db.add(program)
# Test binning for different diversity values
# Use fast diversity to calculate test values
simple_prog = programs[0]
complex_prog = programs[3]
# Calculate diversity for simple vs complex programs
simple_diversity = self.db._fast_code_diversity(simple_prog.code, complex_prog.code)
# Test the binning
bin_idx = self.db._calculate_diversity_bin(simple_diversity)
# Should be within valid range
self.assertGreaterEqual(bin_idx, 0)
self.assertLess(bin_idx, self.db.feature_bins)
def test_calculate_diversity_bin_cold_start(self):
"""Test diversity binning during cold start (< 2 programs)"""
# Empty database - should use fixed range
bin_idx = self.db._calculate_diversity_bin(500.0)
self.assertGreaterEqual(bin_idx, 0)
self.assertLess(bin_idx, self.db.feature_bins)
# Add one program - still cold start
program = Program(id="single", code="x=1", metrics={"score": 0.5})
self.db.add(program)
bin_idx = self.db._calculate_diversity_bin(500.0)
self.assertGreaterEqual(bin_idx, 0)
self.assertLess(bin_idx, self.db.feature_bins)
def test_calculate_diversity_bin_identical_programs(self):
"""Test diversity binning when all programs have identical diversity"""
# Add multiple identical programs
for i in range(3):
program = Program(
id=f"identical_{i}", code="x = 1", metrics={"score": 0.5} # Same code
)
self.db.add(program)
# Test binning - should handle zero range gracefully
bin_idx = self.db._calculate_diversity_bin(0.0)
self.assertGreaterEqual(bin_idx, 0)
self.assertLess(bin_idx, self.db.feature_bins)
def test_fast_code_diversity_function(self):
"""Test the _fast_code_diversity function"""
# Test identical code
code1 = "def test(): pass"
code2 = "def test(): pass"
diversity = self.db._fast_code_diversity(code1, code2)
self.assertEqual(diversity, 0.0)
# Test different code
code1 = "x = 1"
code2 = "def complex_function():\n return [i*2 for i in range(100)]"
diversity = self.db._fast_code_diversity(code1, code2)
self.assertGreater(diversity, 0.0)
# Test length difference
short_code = "x = 1"
long_code = "x = 1" + "a" * 100
diversity = self.db._fast_code_diversity(short_code, long_code)
self.assertGreater(diversity, 0.0)
def test_diversity_feature_integration(self):
"""Test diversity feature calculation in feature coordinates"""
# Add programs with different structures
programs = [
Program(id="prog1", code="x = 1", metrics={"score": 0.5}),
Program(id="prog2", code="def func():\n return 2", metrics={"score": 0.5}),
Program(id="prog3", code="for i in range(5):\n print(i)", metrics={"score": 0.5}),
]
for program in programs:
self.db.add(program)
# Create a test program with diversity feature enabled
test_config = self.db.config
test_config.feature_dimensions = ["score", "complexity", "diversity"]
test_program = Program(id="test", code="def test(): return 42", metrics={"score": 0.7})
# Calculate feature coordinates - should include diversity dimension
coords = self.db._calculate_feature_coords(test_program)
# Should have 3 coordinates for score, complexity, and diversity
self.assertEqual(len(coords), 3)
# All coordinates should be within valid range
for coord in coords:
self.assertGreaterEqual(coord, 0)
self.assertLess(coord, self.db.feature_bins)
def test_migration_prevents_re_migration(self):
"""Test that programs marked as migrants don't migrate again"""
# Create database with multiple islands
config = Config()
config.database.in_memory = True
config.database.num_islands = 3
config.database.migration_interval = 1 # Migrate every generation
multi_db = ProgramDatabase(config.database)
# Add programs to each island (avoid "migrant" in original IDs)
for i in range(3):
program = Program(
id=f"test_prog_{i}",
code=f"def test_{i}(): return {i}",
language="python",
metrics={"score": 0.5 + i * 0.1},
)
multi_db.add(program, target_island=i)
# Manually mark one as a migrant
migrant_program = multi_db.get("test_prog_0")
migrant_program.metadata["migrant"] = True
# Store original ID
original_id = migrant_program.id
# Count initial programs (no _migrant suffixes should exist)
initial_programs = set(multi_db.programs.keys())
initial_migrant_count = sum(1 for pid in initial_programs if "_migrant_" in pid)
self.assertEqual(initial_migrant_count, 0) # Should be none with new implementation
# Run migration
multi_db.island_generations[0] = config.database.migration_interval
multi_db.island_generations[1] = config.database.migration_interval
multi_db.island_generations[2] = config.database.migration_interval
multi_db.migrate_programs()
# Check that the migrant program wasn't re-migrated
# It should still exist with the same ID
still_exists = multi_db.get(original_id)
self.assertIsNotNone(still_exists)
# With new implementation, no programs should have _migrant_ suffixes
new_programs = set(multi_db.programs.keys())
new_migrant_ids = [pid for pid in new_programs if "_migrant_" in pid]
self.assertEqual(len(new_migrant_ids), 0, "New implementation should not create _migrant suffix programs")
# Verify that programs are still distributed across islands (migration occurred)
total_programs_in_maps = sum(len(island_map) for island_map in multi_db.island_feature_maps)
self.assertGreaterEqual(total_programs_in_maps, 3, "Programs should be distributed in island feature maps")
def test_empty_island_initialization_creates_copies(self):
"""Test that empty islands are initialized with copies, not shared references"""
# Create database with multiple islands
config = Config()
config.database.in_memory = True
config.database.num_islands = 3
# Force exploration mode to test empty island handling
config.database.exploration_ratio = 1.0
config.database.exploitation_ratio = 0.0
multi_db = ProgramDatabase(config.database)
# Add a single program to island 1
program = Program(
id="original_program",
code="def original(): return 42",
language="python",
metrics={"score": 0.9, "combined_score": 0.9},
)
multi_db.add(program, target_island=1)
# Make it the best program
multi_db.best_program_id = "original_program"
# Switch to empty island 0 and sample
multi_db.set_current_island(0)
sampled_parent, _ = multi_db.sample()
# The sampled program should be a copy, not the original
self.assertNotEqual(sampled_parent.id, "original_program")
self.assertEqual(sampled_parent.code, program.code) # Same code
self.assertEqual(sampled_parent.parent_id, "original_program") # Parent is the original
# Check island membership
self.assertIn("original_program", multi_db.islands[1])
self.assertNotIn("original_program", multi_db.islands[0])
self.assertIn(sampled_parent.id, multi_db.islands[0])
# Run validation - should not raise any errors
multi_db._validate_migration_results()
def test_no_program_assigned_to_multiple_islands(self):
"""Test that programs are never assigned to multiple islands"""
# Create database with multiple islands
config = Config()
config.database.in_memory = True
config.database.num_islands = 4
multi_db = ProgramDatabase(config.database)
# Add programs to different islands
program_ids = []
for i in range(4):
program = Program(
id=f"island_test_{i}",
code=f"def test_{i}(): return {i}",
language="python",
metrics={"score": 0.5 + i * 0.1, "combined_score": 0.5 + i * 0.1},
)
multi_db.add(program, target_island=i)
program_ids.append(program.id)
# Make the best program from island 3
multi_db.best_program_id = "island_test_3"
# Sample from empty islands - this should create copies
for empty_island in range(4):
if len(multi_db.islands[empty_island]) == 0:
multi_db.set_current_island(empty_island)
parent, _ = multi_db.sample()
# Check that no program ID appears in multiple islands
all_island_programs = {}
for island_idx, island_programs in enumerate(multi_db.islands):
for program_id in island_programs:
if program_id in all_island_programs:
self.fail(
f"Program {program_id} found in both island {all_island_programs[program_id]} "
f"and island {island_idx}"
)
all_island_programs[program_id] = island_idx
# Run validation - should not raise any errors
multi_db._validate_migration_results()
def test_migration_validation_passes(self):
"""Test that migration validation passes after our fixes"""
# Create database with multiple islands
config = Config()
config.database.in_memory = True
config.database.num_islands = 3
config.database.migration_interval = 1
multi_db = ProgramDatabase(config.database)
# Add programs and run several migration cycles
for i in range(6):
program = Program(
id=f"test_program_{i}",
code=f"def test_{i}(): return {i * 2}",
language="python",
metrics={"score": 0.4 + i * 0.1, "combined_score": 0.4 + i * 0.1},
)
multi_db.add(program, target_island=i % 3)
# Run multiple migration cycles
for cycle in range(3):
# Increment generations to trigger migration
for island in range(3):
multi_db.island_generations[island] += 1
# Migrate programs
multi_db.migrate_programs()
# Validation should pass without warnings
multi_db._validate_migration_results()
# Verify no program has exponential ID growth
for program_id in multi_db.programs:
# Count occurrences of "migrant" in ID
migrant_count = program_id.count("migrant")
self.assertLessEqual(
migrant_count, 1, f"Program ID {program_id} has been migrated multiple times"
)
if __name__ == "__main__":
unittest.main()
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