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-rw-r--r--tests/test_pyhegp.py17
1 files changed, 16 insertions, 1 deletions
diff --git a/tests/test_pyhegp.py b/tests/test_pyhegp.py
index 2d3e0b8..304e74b 100644
--- a/tests/test_pyhegp.py
+++ b/tests/test_pyhegp.py
@@ -21,7 +21,7 @@ from hypothesis.extra.numpy import arrays, array_shapes
import numpy as np
from pytest import approx
-from pyhegp.pyhegp import Stats, hegp_encrypt, hegp_decrypt, random_key, pool_stats
+from pyhegp.pyhegp import Stats, hegp_encrypt, hegp_decrypt, random_key, pool_stats, standardize, unstandardize
@given(st.lists(st.lists(arrays("float64",
st.shared(array_shapes(min_dims=1, max_dims=1),
@@ -39,6 +39,9 @@ def test_pool_stats(pools):
and pooled_stats.mean == approx(np.mean(combined_pool, axis=0))
and pooled_stats.std == approx(np.std(combined_pool, axis=0, ddof=1)))
+def no_column_zero_standard_deviation(matrix):
+ return not np.any(np.isclose(np.std(matrix, axis=0), 0))
+
@given(st.one_of(
arrays("int32",
array_shapes(min_dims=2, max_dims=2),
@@ -58,3 +61,15 @@ def test_hegp_encryption_decryption_are_inverses(plaintext):
# FIXME: We don't use maf at the moment.
maf = None
assert hegp_decrypt(hegp_encrypt(plaintext, maf, key), key) == approx(plaintext)
+
+@given(arrays("float64",
+ array_shapes(min_dims=2, max_dims=2),
+ elements=st.floats(min_value=0, max_value=100))
+ # Reject matrices with zero standard deviation columns since
+ # they trigger a division by zero.
+ .filter(no_column_zero_standard_deviation))
+def test_standardize_unstandardize_are_inverses(matrix):
+ mean = np.mean(matrix, axis=0)
+ standard_deviation = np.std(matrix, axis=0)
+ assert unstandardize(standardize(matrix, mean, standard_deviation),
+ mean, standard_deviation) == approx(matrix)