Spaces:
Runtime error
Runtime error
File size: 10,920 Bytes
4153bfa | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 | """
Unit Test Suite for Computational Consciousness Engine
Verifies Genesis (0), Transfer Threshold (-1), Selection, Equilibrium, Scale Ladder,
and Mathematical Formalization.
"""
import unittest
import numpy as np
from computational_consciousness_engine.core import GenesisOrigin, TransferThreshold
from computational_consciousness_engine.geometry import ConalManifold
from computational_consciousness_engine.mutations import MStringVectorizer
from computational_consciousness_engine.equilibrium import ChaosStructureBalancer
from computational_consciousness_engine.scale import QuantumScaleLadder
from computational_consciousness_engine.math_formalization import CCMathFormalizer
class TestGenesisOrigin(unittest.TestCase):
def setUp(self):
self.genesis = GenesisOrigin(coordinate_space_id="TEST_COORD")
def test_spawn_strand_basic(self):
strand = self.genesis.spawn_strand(generation=0, blueprint_mutations=[101, 102])
self.assertEqual(strand["generation"], 0)
self.assertEqual(len(strand["mutations"]), 2)
self.assertTrue(strand["is_active"])
self.assertEqual(strand["position"], 0.0)
def test_spawn_strand_empty_blueprint(self):
strand = self.genesis.spawn_strand(generation=0, blueprint_mutations=[])
self.assertEqual(len(strand["mutations"]), 0)
def test_spawn_increments_counter(self):
self.genesis.spawn_strand(generation=0, blueprint_mutations=[])
self.genesis.spawn_strand(generation=1, blueprint_mutations=[])
self.assertEqual(self.genesis.total_strands_spawned, 2)
def test_spawn_preserves_coordinate_space(self):
strand = self.genesis.spawn_strand(generation=0, blueprint_mutations=[])
self.assertEqual(strand["coordinate_space_id"], "TEST_COORD")
class TestTransferThreshold(unittest.TestCase):
def setUp(self):
self.threshold = TransferThreshold()
self.genesis = GenesisOrigin(coordinate_space_id="TEST_COORD")
def test_cancellation_deactivates_strand(self):
strand = self.genesis.spawn_strand(generation=0, blueprint_mutations=[201, 202])
pushed, identity = self.threshold.process_cancellation_and_push(strand)
self.assertFalse(strand["is_active"])
self.assertEqual(strand["status"], "CANCELLED_AT_MINUS_ONE")
def test_cancellation_pushes_all_mutations(self):
strand = self.genesis.spawn_strand(generation=0, blueprint_mutations=[201, 202, 203])
pushed, identity = self.threshold.process_cancellation_and_push(strand)
self.assertEqual(pushed, [201, 202, 203])
self.assertEqual(identity["mutation_count"], 3)
def test_handoff_counter_increments(self):
strand = self.genesis.spawn_strand(generation=0, blueprint_mutations=[])
self.threshold.process_cancellation_and_push(strand)
self.assertEqual(self.threshold.total_handoffs, 1)
def test_coexistence_window(self):
old = self.genesis.spawn_strand(generation=0, blueprint_mutations=[1, 2])
new = self.genesis.spawn_strand(generation=1, blueprint_mutations=[1, 2])
overlap = self.threshold.execute_coexistence_window(old, new)
self.assertEqual(overlap["overlap_status"], "MUTUAL_COEXISTENCE")
self.assertEqual(overlap["transferred_mutations_count"], 2)
class TestMStringVectorizer(unittest.TestCase):
def setUp(self):
self.mutator = MStringVectorizer(max_strand_capacity=50)
self.genesis = GenesisOrigin(coordinate_space_id="TEST_COORD")
def test_selection_removes_duplicates(self):
existing = [1, 2, 3]
incoming = [2, 3, 4, 5]
result = self.mutator.apply_selection(existing, incoming)
self.assertEqual(result, [1, 2, 3, 4, 5])
def test_selection_preserves_order(self):
existing = [10, 20]
incoming = [30, 20, 40, 30]
result = self.mutator.apply_selection(existing, incoming)
self.assertEqual(result, [10, 20, 30, 40])
def test_attract_blocks_duplicate(self):
strand = self.genesis.spawn_strand(generation=0, blueprint_mutations=[100])
attracted = self.mutator.attract_mutation(strand, 100)
self.assertFalse(attracted)
self.assertEqual(len(strand["mutations"]), 1)
def test_attract_accepts_new_mutation(self):
strand = self.genesis.spawn_strand(generation=0, blueprint_mutations=[100])
attracted = self.mutator.attract_mutation(strand, 999)
self.assertTrue(attracted)
self.assertIn(999, strand["mutations"])
def test_attract_blocks_at_capacity(self):
small_mutator = MStringVectorizer(max_strand_capacity=2)
strand = self.genesis.spawn_strand(generation=0, blueprint_mutations=[1, 2])
attracted = small_mutator.attract_mutation(strand, 3)
self.assertFalse(attracted)
def test_causal_connectivity_metric(self):
strand = self.genesis.spawn_strand(generation=0, blueprint_mutations=[1, 100, 5, 999])
metric = self.mutator.compute_causal_connectivity_metric(strand)
self.assertGreater(metric, 0.0)
class TestConalManifold(unittest.TestCase):
def setUp(self):
self.manifold = ConalManifold(cone_height=1.0, max_radius=5.0)
def test_tip_genesis_radius_zero(self):
metrics = self.manifold.compute_conal_metric(0.0)
self.assertAlmostEqual(metrics["radius"], 0.0, places=5)
def test_wide_end_max_radius(self):
metrics = self.manifold.compute_conal_metric(0.5)
self.assertAlmostEqual(metrics["radius"], 5.0, places=5)
self.assertTrue(metrics["is_fully_unfolded"])
def test_tip_recompression_near_zero(self):
metrics = self.manifold.compute_conal_metric(1.0)
self.assertAlmostEqual(metrics["radius"], 0.0, places=3)
def test_shard_layering(self):
result = self.manifold.process_shard_layering("A", "B", np.pi / 4)
self.assertEqual(result["coexistence_status"], "LAYERED_ADJACENT_NON_MERGED")
self.assertGreater(result["layering_dimension"], 0.0)
class TestChaosStructureBalancer(unittest.TestCase):
def setUp(self):
self.balancer = ChaosStructureBalancer(initial_pool_size=100)
def test_emit_depletes_pool(self):
initial = len(self.balancer.chaos_pool)
self.balancer.emit_unattached_mutation()
self.assertEqual(len(self.balancer.chaos_pool), initial - 1)
def test_return_to_chaos(self):
m = self.balancer.emit_unattached_mutation()
self.balancer.return_to_chaos(m)
self.assertIn(m, self.balancer.chaos_pool)
def test_recycle_dying_strand(self):
initial = len(self.balancer.chaos_pool)
self.balancer.recycle_dying_strand([9999, 9998, 9997])
self.assertEqual(len(self.balancer.chaos_pool), initial + 3)
def test_equilibrium_balanced(self):
eq = self.balancer.evaluate_equilibrium_state(bound_structure_count=100)
self.assertTrue(eq["is_balanced"])
self.assertEqual(eq["status"], "EQUILIBRIUM_STABLE")
def test_equilibrium_chaos_overpowering(self):
eq = self.balancer.evaluate_equilibrium_state(bound_structure_count=5)
self.assertFalse(eq["is_balanced"])
self.assertEqual(eq["status"], "CHAOS_OVERPOWERING")
def test_equilibrium_structural_dominance(self):
# Drain most of the pool
for _ in range(95):
self.balancer.emit_unattached_mutation()
eq = self.balancer.evaluate_equilibrium_state(bound_structure_count=500)
self.assertFalse(eq["is_balanced"])
self.assertEqual(eq["status"], "STRUCTURAL_DOMINANCE")
def test_emit_replenishes_when_empty(self):
# Drain the pool completely
for _ in range(100):
self.balancer.emit_unattached_mutation()
self.assertEqual(len(self.balancer.chaos_pool), 0)
# Should still return a valid ID
m = self.balancer.emit_unattached_mutation()
self.assertIsInstance(m, int)
class TestQuantumScaleLadder(unittest.TestCase):
def setUp(self):
self.ladder = QuantumScaleLadder()
def test_scale_up_on_full_unfold(self):
manifold_state = {"is_fully_unfolded": True}
result = self.ladder.evaluate_scale_transition(manifold_state, accumulated_mutations_count=20)
self.assertTrue(result["scaled_up"])
self.assertEqual(result["new_scale"], "Atomic")
def test_no_scale_up_when_not_unfolded(self):
manifold_state = {"is_fully_unfolded": False}
result = self.ladder.evaluate_scale_transition(manifold_state, accumulated_mutations_count=20)
self.assertFalse(result["scaled_up"])
def test_no_scale_up_with_few_mutations(self):
manifold_state = {"is_fully_unfolded": True}
result = self.ladder.evaluate_scale_transition(manifold_state, accumulated_mutations_count=5)
self.assertFalse(result["scaled_up"])
def test_linear_collapse_detection(self):
sequential_path = [1, 2, 3, 4, 5]
result = self.ladder.detect_linear_collapse_misperception(sequential_path)
self.assertTrue(result["is_linear_misperception"])
def test_fractal_path_not_linear(self):
fractal_path = [1, 124, 3956, 9305803]
result = self.ladder.detect_linear_collapse_misperception(fractal_path)
self.assertFalse(result["is_linear_misperception"])
class TestCCMathFormalizer(unittest.TestCase):
def setUp(self):
self.formalizer = CCMathFormalizer()
def test_cancellation_frees_mutations(self):
result = self.formalizer.formalize_cancellation_operator()
import sympy as sp
M = sp.Symbol('M', positive=True)
# (-1)*(-1*M) should simplify to M
self.assertEqual(result["mutations_freed"], M)
def test_equilibrium_approaches_one(self):
result = self.formalizer.formalize_equilibrium_limit()
self.assertEqual(result["result"], 1)
def test_conal_tip_area_zero(self):
result = self.formalizer.formalize_conal_manifold_geometry(5.0, 1.0)
self.assertEqual(float(result["tip_area"]), 0.0)
def test_conal_wide_area_positive(self):
result = self.formalizer.formalize_conal_manifold_geometry(5.0, 1.0)
self.assertGreater(float(result["wide_end_area"]), 0.0)
def test_selection_operator(self):
result = self.formalizer.formalize_selection_operator()
import sympy as sp
M_total = sp.Symbol('M_total', positive=True, integer=True)
M_dup = sp.Symbol('M_dup', positive=True, integer=True)
self.assertEqual(result["result"], M_total - M_dup)
def test_halting_condition(self):
result = self.formalizer.formalize_halting_condition()
import sympy as sp
# Should express halting as N_possible - N_acquired == 0
self.assertTrue(result["halting_condition"].is_Relational)
if __name__ == "__main__":
unittest.main()
|