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4a5bfab e69e3a3 4a5bfab | 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 | import os
import sys
import numpy as np
PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
if PROJECT_ROOT not in sys.path:
sys.path.insert(0, PROJECT_ROOT)
from data_preparation.prepare_dataset import (
SELECTED_FEATURES,
_generate_synthetic_data,
get_numpy_splits,
)
def test_generate_synthetic_data_shape():
X, y = _generate_synthetic_data("face_orientation")
assert X.shape[0] == 500
assert y.shape[0] == 500
assert X.shape[1] == len(SELECTED_FEATURES["face_orientation"])
def test_get_numpy_splits_consistency():
splits, num_features, num_classes, scaler = get_numpy_splits("face_orientation")
# train/val/test each have samples
n_train = len(splits["y_train"])
n_val = len(splits["y_val"])
n_test = len(splits["y_test"])
assert n_train > 0
assert n_val > 0
assert n_test > 0
# feature dim should same as num_features
assert splits["X_train"].shape[1] == num_features
assert num_classes >= 2
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