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motief/tests/test_svd_labels.py

106 lines
3.7 KiB

"""Tests for analysis/svd_labels module."""
def test_get_svd_label_returns_correct_label():
"""Test that get_svd_label returns the correct label for each component."""
from analysis.svd_labels import get_svd_label
# Component 1 should return EU-integratie label
label1 = get_svd_label(1)
assert "EU-integratie" in label1 or "Nationalisme" in label1
# Component 2 should return Populistisch label
label2 = get_svd_label(2)
assert "Populistisch" in label2 or "Institutioneel" in label2
# Component 3 should return Verzorgingsstaat label
label3 = get_svd_label(3)
assert "Verzorgingsstaat" in label3 or "Marktwerking" in label3
def test_compute_flip_direction_right_on_left():
"""Test that flip is True when right parties are on the left."""
from analysis.svd_labels import compute_flip_direction
# Right parties have negative scores (on left), left parties have positive
party_scores = {
"VVD": [-0.5, 0.0], # Right party, component 1 score = -0.5
"PVV": [-0.8, 0.0], # Right party
"SP": [0.6, 0.0], # Left party, component 1 score = 0.6
"DENK": [0.4, 0.0], # Left party
}
# Component 1: right_mean = -0.65, left_mean = 0.5
# right_mean < left_mean, so flip = True
assert compute_flip_direction(1, party_scores) is True
def test_compute_flip_direction_right_on_right():
"""Test that flip is False when right parties are already on the right."""
from analysis.svd_labels import compute_flip_direction
# Right parties have positive scores (on right), left parties have negative
party_scores = {
"VVD": [0.5, 0.0], # Right party, component 1 score = 0.5
"PVV": [0.8, 0.0], # Right party
"SP": [-0.6, 0.0], # Left party
"DENK": [-0.4, 0.0], # Left party
}
# Component 1: right_mean = 0.65, left_mean = -0.5
# right_mean > left_mean, so flip = False
assert compute_flip_direction(1, party_scores) is False
def test_compute_flip_direction_insufficient_data():
"""Test that flip is False when there's insufficient data."""
from analysis.svd_labels import compute_flip_direction
# No right parties in data
party_scores = {
"SP": [0.6, 0.0],
"DENK": [0.4, 0.0],
}
assert compute_flip_direction(1, party_scores) is False
# No left parties in data
party_scores = {
"VVD": [0.5, 0.0],
"PVV": [0.8, 0.0],
}
assert compute_flip_direction(1, party_scores) is False
def test_auto_flip_computation_for_all_components():
"""Test that flip directions are computed correctly for all components."""
from analysis.svd_labels import compute_flip_direction
# Simulate party scores for 10 components
# Right parties should have positive scores on component 1 (EU-integratie)
# Left parties should have negative scores on component 1
party_scores = {
"VVD": [0.5] * 10, # Right party, positive on all components
"PVV": [0.8] * 10, # Right party
"SP": [-0.6] * 10, # Left party, negative on all components
"DENK": [-0.4] * 10, # Left party
}
# For all components, right_mean > left_mean, so flip should be False
for comp in range(1, 11):
flip = compute_flip_direction(comp, party_scores)
assert flip is False, f"Component {comp} should not flip"
# Now test with right parties on left (negative scores)
party_scores_left = {
"VVD": [-0.5] * 10,
"PVV": [-0.8] * 10,
"SP": [0.6] * 10,
"DENK": [0.4] * 10,
}
# For all components, right_mean < left_mean, so flip should be True
for comp in range(1, 11):
flip = compute_flip_direction(comp, party_scores_left)
assert flip is True, f"Component {comp} should flip"