test(analysis): add tests for pareto frontier genes function

Signed-off-by: Cameron Smith <[email protected]>

src/pyrovelocity/tests/analysis/test_analyze.py

@@ -0,0 +1,71 @@
+from typing import List
+
+import pandas as pd
+import pytest
+
+from pyrovelocity.analysis.analyze import (
+    pareto_frontier_genes,
+)
+
+
+@pytest.fixture
+def sample_volcano_data() -> pd.DataFrame:
+    return pd.DataFrame(
+        {
+            "mean_mae": [0.1, 0.2, 0.3, 0.4, 0.5],
+            "time_correlation": [0.5, 0.6, 0.7, 0.8, 0.9],
+        },
+        index=["Gene1", "Gene2", "Gene3", "Gene4", "Gene5"],
+    )
+
+
+@pytest.fixture
+def sample_volcano_data_with_ribosomal() -> pd.DataFrame:
+    return pd.DataFrame(
+        {
+            "mean_mae": [0.1, 0.2, 0.3, 0.4, 0.5, 0.6],
+            "time_correlation": [0.5, 0.6, 0.7, 0.8, 0.9, 1.0],
+        },
+        index=["Gene1", "Rpl1", "Gene3", "Rps2", "Gene5", "Gene6"],
+    )
+
+
+def test_pareto_frontier_genes_basic(sample_volcano_data):
+    result = pareto_frontier_genes(
+        sample_volcano_data, num_genes=3, max_iters=1000
+    )
+    assert isinstance(result, List)
+    assert len(result) == 3
+    assert all(gene in sample_volcano_data.index for gene in result)
+
+
+def test_pareto_frontier_genes_order(sample_volcano_data):
+    result = pareto_frontier_genes(
+        sample_volcano_data, num_genes=5, max_iters=1000
+    )
+    assert result == ["Gene5", "Gene4", "Gene3", "Gene2", "Gene1"]
+
+
+def test_pareto_frontier_genes_ribosomal_filtering(
+    sample_volcano_data_with_ribosomal
+):
+    result = pareto_frontier_genes(
+        sample_volcano_data_with_ribosomal, num_genes=4, max_iters=1000
+    )
+    assert "Rpl1" not in result
+    assert "Rps2" not in result
+    assert len(result) == 4
+
+
+def test_pareto_frontier_genes_max_iters(sample_volcano_data):
+    result = pareto_frontier_genes(
+        sample_volcano_data, num_genes=5, max_iters=1
+    )
+    assert len(result) < 5
+
+
+def test_pareto_frontier_genes_fewer_genes(sample_volcano_data):
+    result = pareto_frontier_genes(
+        sample_volcano_data, num_genes=10, max_iters=1000
+    )
+    assert len(result) == 5