comparison tests/test_cdhit_analysis.py @ 1:ff68835adb2b draft

planemo upload for repository https://github.com/Onnodg/Naturalis_NLOOR/tree/main/NLOOR_scripts/process_clusters_tool commit d771f9fbfd42bcdeda1623d954550882a0863847-dirty

0:00d56396b32a

        ca.main(args)
        captured = capsys.readouterr()
        assert "Processing complete" in captured.out


    def test_16a_prepare_evalue_histogram_valid_data(self):
        """
        Test 16a: prepare_evalue_histogram returns correct counts/bins.
        """
        from Stage_1_translated.NLOOR_scripts.process_clusters_tool import cdhit_analysis as ca
        counts, bins = ca.prepare_evalue_histogram([1e-5, 1e-3, 0.5], [])
        assert counts.sum() == 3  # 3 entries counted
        assert len(bins) == 51  # 50 bins => 51 edges

    def test_16b_prepare_evalue_histogram_empty(self):
        """
        Test 16b: prepare_evalue_histogram with empty/invalid data returns (None, None).
        """
        from Stage_1_translated.NLOOR_scripts.process_clusters_tool import cdhit_analysis as ca
        counts, bins = ca.prepare_evalue_histogram([0, None, "bad"], [])
        assert counts is None
        assert bins is None

    def test_16c_create_evalue_plot_creates_file_and_returns_data(self, tmp_path):
        """
        Test 16c: create_evalue_plot saves a PNG and returns numeric data.
        """
        from Stage_1_translated.NLOOR_scripts.process_clusters_tool import cdhit_analysis as ca
        out = tmp_path / "eval.png"
        counts, bins = ca.create_evalue_plot_test([1e-5, 1e-3, 0.5], [], str(out))
        assert out.exists()

1:ff68835adb2b

        ca.main(args)
        captured = capsys.readouterr()
        assert "Processing complete" in captured.out


    def test_18a_prepare_evalue_histogram_valid_data(self):
        """
        Test 18a: prepare_evalue_histogram returns correct counts/bins.
        """
        from Stage_1_translated.NLOOR_scripts.process_clusters_tool import cdhit_analysis as ca
        counts, bins = ca.prepare_evalue_histogram([1e-5, 1e-3, 0.5], [])
        assert counts.sum() == 3  # 3 entries counted
        assert len(bins) == 51  # 50 bins => 51 edges

    def test_18b_prepare_evalue_histogram_empty(self):
        """
        Test 18b: prepare_evalue_histogram with empty/invalid data returns (None, None).
        """
        from Stage_1_translated.NLOOR_scripts.process_clusters_tool import cdhit_analysis as ca
        counts, bins = ca.prepare_evalue_histogram([0, None, "bad"], [])
        assert counts is None
        assert bins is None

    def test_18c_create_evalue_plot_creates_file_and_returns_data(self, tmp_path):
        """
        Test 18c: create_evalue_plot saves a PNG and returns numeric data.
        """
        from Stage_1_translated.NLOOR_scripts.process_clusters_tool import cdhit_analysis as ca
        out = tmp_path / "eval.png"
        counts, bins = ca.create_evalue_plot_test([1e-5, 1e-3, 0.5], [], str(out))
        assert out.exists()