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import pertpy as pt | ||
import numpy as np | ||
import pertpy as pt | ||
import pytest | ||
from pertpy.tools._metrics_3g import ( | ||
compare_de, | ||
compare_class, | ||
compare_de, | ||
compare_dist, | ||
compare_knn, | ||
) | ||
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class TestMetrics3G: | ||
@pytest.fixture | ||
def test_data(self): | ||
rng = np.random.default_rng() | ||
X = rng.normal(size=(100, 10)) | ||
Y = rng.normal(size=(100, 10)) | ||
C = rng.normal(size=(100, 10)) | ||
return X, Y, C | ||
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def test_compare_de(self, test_data): | ||
X, Y, C = test_data | ||
result = compare_de(X, Y, C, shared_top=5) | ||
assert isinstance(result, dict) | ||
required_keys = { | ||
"shared_top_genes", | ||
"scores_corr", | ||
"pvals_adj_corr", | ||
"scores_ranks_corr", | ||
} | ||
assert all(key in result for key in required_keys) | ||
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def test_compare_class(self, test_data): | ||
X, Y, C = test_data | ||
result = compare_class(X, Y, C) | ||
assert result <= 1 | ||
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def test_compare_knn(self, test_data): | ||
X, Y, C = test_data | ||
result = compare_knn(X, Y, C) | ||
assert isinstance(result, dict) | ||
assert "comp" in result | ||
assert isinstance(result["comp"], float) | ||
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result_no_ctrl = compare_knn(X, Y) | ||
assert isinstance(result_no_ctrl, dict) | ||
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def test_compare_dist(self, test_data): | ||
X, Y, C = test_data | ||
res_simple = compare_dist(X, Y, C, mode="simple") | ||
assert isinstance(res_simple, float) | ||
res_scaled = compare_dist(X, Y, C, mode="scaled") | ||
assert isinstance(res_scaled, float) | ||
with pytest.raises(ValueError): | ||
compare_dist(X, Y, C, mode="new_mode") | ||
@pytest.fixture | ||
def test_data(): | ||
rng = np.random.default_rng() | ||
X = rng.normal(size=(100, 10)) | ||
Y = rng.normal(size=(100, 10)) | ||
C = rng.normal(size=(100, 10)) | ||
return X, Y, C | ||
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def test_compare_de(test_data): | ||
X, Y, C = test_data | ||
result = compare_de(X, Y, C, shared_top=5) | ||
assert isinstance(result, dict) | ||
required_keys = { | ||
"shared_top_genes", | ||
"scores_corr", | ||
"pvals_adj_corr", | ||
"scores_ranks_corr", | ||
} | ||
assert all(key in result for key in required_keys) | ||
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||
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def test_compare_class(test_data): | ||
X, Y, C = test_data | ||
result = compare_class(X, Y, C) | ||
assert result <= 1 | ||
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def test_compare_knn(test_data): | ||
X, Y, C = test_data | ||
result = compare_knn(X, Y, C) | ||
assert isinstance(result, dict) | ||
assert "comp" in result | ||
assert isinstance(result["comp"], float) | ||
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result_no_ctrl = compare_knn(X, Y) | ||
assert isinstance(result_no_ctrl, dict) | ||
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def test_compare_dist(test_data): | ||
X, Y, C = test_data | ||
res_simple = compare_dist(X, Y, C, mode="simple") | ||
assert isinstance(res_simple, float) | ||
res_scaled = compare_dist(X, Y, C, mode="scaled") | ||
assert isinstance(res_scaled, float) | ||
with pytest.raises(ValueError): | ||
compare_dist(X, Y, C, mode="new_mode") |