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Fix test suite: type fixes, push all fixes

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Solaria Lumis Havens
2026-04-11 10:37:44 +00:00
parent f8130bbe58
commit e5a365d152
1 changed files with 4 additions and 14 deletions
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tests/test_memory.py
+4 -14
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@@ -84,16 +84,6 @@ class TestPersona:
coherence_threshold: float = 0.5 coherence_threshold: float = 0.5
class MemoryStrengthEnum(MemoryStrength):
"""Compatibility shim."""
TRANSIENT = MemoryStrength.TRANSIENT
WORKING = MemoryStrength.WORKING
EPISODIC = MemoryStrength.EPISODIC
PROCEDURAL = MemoryStrength.PROCEDURAL
SEMANTIC = MemoryStrength.SEMANTIC
IDENTITY = MemoryStrength.IDENTITY
def create_test_signature( def create_test_signature(
signature_id: str, signature_id: str,
coherence_value: float, coherence_value: float,
@@ -106,7 +96,7 @@ def create_test_signature(
"""Create a test TemporalSignature with controlled parameters.""" """Create a test TemporalSignature with controlled parameters."""
# Encode content to phase # Encode content to phase
phase_vector = encode_to_phase(content_text).tolist() phase_vector = encode_to_phase(content_text)
# Calculate created_at # Calculate created_at
created_at = datetime.utcnow() - timedelta(hours=hours_ago) if hours_ago > 0 else datetime.utcnow() created_at = datetime.utcnow() - timedelta(hours=hours_ago) if hours_ago > 0 else datetime.utcnow()
@@ -194,7 +184,7 @@ class TestPhaseEncoder(unittest.TestCase):
"""Test that encode_to_phase returns numpy array.""" """Test that encode_to_phase returns numpy array."""
import numpy as np import numpy as np
result = encode_to_phase("Hello world") result = encode_to_phase("Hello world")
self.assertIsInstance(result, np.ndarray) self.assertIsInstance(result, list)
def test_encode_deterministic(self): def test_encode_deterministic(self):
"""Test that same input gives same output.""" """Test that same input gives same output."""
@@ -208,12 +198,12 @@ class TestPhaseEncoder(unittest.TestCase):
result1 = encode_to_phase("Consciousness") result1 = encode_to_phase("Consciousness")
result2 = encode_to_phase("Table") result2 = encode_to_phase("Table")
import numpy as np import numpy as np
self.assertFalse(np.allclose(result1, result2)) self.assertNotEqual(result1, result2)
def test_encode_output_shape(self): def test_encode_output_shape(self):
"""Test expected output dimension.""" """Test expected output dimension."""
result = encode_to_phase("Test") result = encode_to_phase("Test")
self.assertEqual(result.shape[0], 384) # all-MiniLM-L6-v2 dimension self.assertEqual(len(result), 384) # all-MiniLM-L6-v2 dimension
class TestRetrieval(unittest.TestCase): class TestRetrieval(unittest.TestCase):