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Diffstat (limited to 'tests/unit/test_heatmaps.py')
| -rw-r--r-- | tests/unit/test_heatmaps.py | 216 |
1 files changed, 216 insertions, 0 deletions
diff --git a/tests/unit/test_heatmaps.py b/tests/unit/test_heatmaps.py new file mode 100644 index 0000000..b54e2f3 --- /dev/null +++ b/tests/unit/test_heatmaps.py @@ -0,0 +1,216 @@ +"""Module contains tests for gn3.heatmaps.heatmaps""" +from unittest import TestCase +from gn3.heatmaps import ( + cluster_traits, + get_lrs_from_chr, + export_trait_data, + compute_traits_order, + retrieve_samples_and_values, + process_traits_data_for_heatmap) +from tests.unit.sample_test_data import organised_trait_1, organised_trait_2 + +samplelist = ["B6cC3-1", "BXD1", "BXD12", "BXD16", "BXD19", "BXD2"] +trait_data = { + "mysqlid": 36688172, + "data": { + "B6cC3-1": {"sample_name": "B6cC3-1", "value": 7.51879, "variance": None, "ndata": None}, + "BXD1": {"sample_name": "BXD1", "value": 7.77141, "variance": None, "ndata": None}, + "BXD12": {"sample_name": "BXD12", "value": 8.39265, "variance": None, "ndata": None}, + "BXD16": {"sample_name": "BXD16", "value": 8.17443, "variance": None, "ndata": None}, + "BXD19": {"sample_name": "BXD19", "value": 8.30401, "variance": None, "ndata": None}, + "BXD2": {"sample_name": "BXD2", "value": 7.80944, "variance": None, "ndata": None}, + "BXD21": {"sample_name": "BXD21", "value": 8.93809, "variance": None, "ndata": None}, + "BXD24": {"sample_name": "BXD24", "value": 7.99415, "variance": None, "ndata": None}, + "BXD27": {"sample_name": "BXD27", "value": 8.12177, "variance": None, "ndata": None}, + "BXD28": {"sample_name": "BXD28", "value": 7.67688, "variance": None, "ndata": None}, + "BXD32": {"sample_name": "BXD32", "value": 7.79062, "variance": None, "ndata": None}, + "BXD39": {"sample_name": "BXD39", "value": 8.27641, "variance": None, "ndata": None}, + "BXD40": {"sample_name": "BXD40", "value": 8.18012, "variance": None, "ndata": None}, + "BXD42": {"sample_name": "BXD42", "value": 7.82433, "variance": None, "ndata": None}, + "BXD6": {"sample_name": "BXD6", "value": 8.09718, "variance": None, "ndata": None}, + "BXH14": {"sample_name": "BXH14", "value": 7.97475, "variance": None, "ndata": None}, + "BXH19": {"sample_name": "BXH19", "value": 7.67223, "variance": None, "ndata": None}, + "BXH2": {"sample_name": "BXH2", "value": 7.93622, "variance": None, "ndata": None}, + "BXH22": {"sample_name": "BXH22", "value": 7.43692, "variance": None, "ndata": None}, + "BXH4": {"sample_name": "BXH4", "value": 7.96336, "variance": None, "ndata": None}, + "BXH6": {"sample_name": "BXH6", "value": 7.75132, "variance": None, "ndata": None}, + "BXH7": {"sample_name": "BXH7", "value": 8.12927, "variance": None, "ndata": None}, + "BXH8": {"sample_name": "BXH8", "value": 6.77338, "variance": None, "ndata": None}, + "BXH9": {"sample_name": "BXH9", "value": 8.03836, "variance": None, "ndata": None}, + "C3H/HeJ": {"sample_name": "C3H/HeJ", "value": 7.42795, "variance": None, "ndata": None}, + "C57BL/6J": {"sample_name": "C57BL/6J", "value": 7.50606, "variance": None, "ndata": None}, + "DBA/2J": {"sample_name": "DBA/2J", "value": 7.72588, "variance": None, "ndata": None}}} + +slinked = ( + (((0, 2, 0.16381088984330505), + ((1, 7, 0.06024619831474998), 5, 0.19179284676938602), + 0.20337048635536847), + 9, + 0.23451785425383564), + ((3, (6, 8, 0.2140799896286565), 0.25879514152086425), + 4, 0.8968250491499363), + 0.9313185954797953) + +class TestHeatmap(TestCase): + """Class for testing heatmap computation functions""" + + def test_export_trait_data_dtype(self): + """ + Test `export_trait_data` with different values for the `dtype` keyword + argument + """ + for dtype, expected in [ + ["val", (7.51879, 7.77141, 8.39265, 8.17443, 8.30401, 7.80944)], + ["var", (None, None, None, None, None, None)], + ["N", (None, None, None, None, None, None)], + ["all", (7.51879, 7.77141, 8.39265, 8.17443, 8.30401, 7.80944)]]: + with self.subTest(dtype=dtype): + self.assertEqual( + export_trait_data(trait_data, samplelist, dtype=dtype), + expected) + + def test_export_trait_data_dtype_all_flags(self): + """ + Test `export_trait_data` with different values for the `dtype` keyword + argument and the different flags set up + """ + for dtype, vflag, nflag, expected in [ + ["val", False, False, + (7.51879, 7.77141, 8.39265, 8.17443, 8.30401, 7.80944)], + ["val", False, True, + (7.51879, 7.77141, 8.39265, 8.17443, 8.30401, 7.80944)], + ["val", True, False, + (7.51879, 7.77141, 8.39265, 8.17443, 8.30401, 7.80944)], + ["val", True, True, + (7.51879, 7.77141, 8.39265, 8.17443, 8.30401, 7.80944)], + ["var", False, False, (None, None, None, None, None, None)], + ["var", False, True, (None, None, None, None, None, None)], + ["var", True, False, (None, None, None, None, None, None)], + ["var", True, True, (None, None, None, None, None, None)], + ["N", False, False, (None, None, None, None, None, None)], + ["N", False, True, (None, None, None, None, None, None)], + ["N", True, False, (None, None, None, None, None, None)], + ["N", True, True, (None, None, None, None, None, None)], + ["all", False, False, + (7.51879, 7.77141, 8.39265, 8.17443, 8.30401, 7.80944)], + ["all", False, True, + (7.51879, None, 7.77141, None, 8.39265, None, 8.17443, None, + 8.30401, None, 7.80944, None)], + ["all", True, False, + (7.51879, None, 7.77141, None, 8.39265, None, 8.17443, None, + 8.30401, None, 7.80944, None)], + ["all", True, True, + (7.51879, None, None, 7.77141, None, None, 8.39265, None, None, + 8.17443, None, None, 8.30401, None, None, 7.80944, None, None)] + ]: + with self.subTest(dtype=dtype, vflag=vflag, nflag=nflag): + self.assertEqual( + export_trait_data( + trait_data, samplelist, dtype=dtype, var_exists=vflag, + n_exists=nflag), + expected) + + def test_cluster_traits(self): + """ + Test that the clustering is working as expected. + """ + traits_data_list = [ + (7.51879, 7.77141, 8.39265, 8.17443, 8.30401, 7.80944), + (6.1427, 6.50588, 7.73705, 6.68328, 7.49293, 7.27398), + (8.4211, 8.30581, 9.24076, 8.51173, 9.18455, 8.36077), + (10.0904, 10.6509, 9.36716, 9.91202, 8.57444, 10.5731), + (10.188, 9.76652, 9.54813, 9.05074, 9.52319, 9.10505), + (6.74676, 7.01029, 7.54169, 6.48574, 7.01427, 7.26815), + (6.39359, 6.85321, 5.78337, 7.11141, 6.22101, 6.16544), + (6.84118, 7.08432, 7.59844, 7.08229, 7.26774, 7.24991), + (9.45215, 10.6943, 8.64719, 10.1592, 7.75044, 8.78615), + (7.04737, 6.87185, 7.58586, 6.92456, 6.84243, 7.36913)] + self.assertEqual( + cluster_traits(traits_data_list), + ((0.0, 0.20337048635536847, 0.16381088984330505, 1.7388553629398245, + 1.5025235756329178, 0.6952839500255574, 1.271661230252733, + 0.2100487290977544, 1.4699690641062024, 0.7934461515867415), + (0.20337048635536847, 0.0, 0.2198321044997198, 1.5753041735592204, + 1.4815755944537086, 0.26087293140686374, 1.6939790104301427, + 0.06024619831474998, 1.7430082449189215, 0.4497104244247795), + (0.16381088984330505, 0.2198321044997198, 0.0, 1.9073926868549234, + 1.0396738891139845, 0.5278328671176757, 1.6275069061182947, + 0.2636503792482082, 1.739617877037615, 0.7127042590637039), + (1.7388553629398245, 1.5753041735592204, 1.9073926868549234, 0.0, + 0.9936846292920328, 1.1169999189889366, 0.6007483980555253, + 1.430209221053372, 0.25879514152086425, 0.9313185954797953), + (1.5025235756329178, 1.4815755944537086, 1.0396738891139845, + 0.9936846292920328, 0.0, 1.027827186339337, 1.1441743109173244, + 1.4122477962364253, 0.8968250491499363, 1.1683723389247052), + (0.6952839500255574, 0.26087293140686374, 0.5278328671176757, + 1.1169999189889366, 1.027827186339337, 0.0, 1.8420471110023269, + 0.19179284676938602, 1.4875072385631605, 0.23451785425383564), + (1.271661230252733, 1.6939790104301427, 1.6275069061182947, + 0.6007483980555253, 1.1441743109173244, 1.8420471110023269, 0.0, + 1.6540234785929928, 0.2140799896286565, 1.7413442197913358), + (0.2100487290977544, 0.06024619831474998, 0.2636503792482082, + 1.430209221053372, 1.4122477962364253, 0.19179284676938602, + 1.6540234785929928, 0.0, 1.5225640692832796, 0.33370067057028485), + (1.4699690641062024, 1.7430082449189215, 1.739617877037615, + 0.25879514152086425, 0.8968250491499363, 1.4875072385631605, + 0.2140799896286565, 1.5225640692832796, 0.0, 1.3256191648260216), + (0.7934461515867415, 0.4497104244247795, 0.7127042590637039, + 0.9313185954797953, 1.1683723389247052, 0.23451785425383564, + 1.7413442197913358, 0.33370067057028485, 1.3256191648260216, + 0.0))) + + def test_compute_heatmap_order(self): + """Test the orders.""" + self.assertEqual( + compute_traits_order(slinked), (0, 2, 1, 7, 5, 9, 3, 6, 8, 4)) + + def test_retrieve_samples_and_values(self): + """Test retrieval of samples and values.""" + for orders, slist, tdata, expected in [ + [ + [2], + ["s1", "s2", "s3", "s4"], + [[2, 9, 6, None, 4], + [7, 5, None, None, 4], + [9, None, 5, 4, 7], + [6, None, None, 4, None]], + [[2, ["s1", "s3", "s4"], [9, 5, 4]]] + ], + [ + [3], + ["s1", "s2", "s3", "s4", "s5"], + [[2, 9, 6, None, 4], + [7, 5, None, None, 4], + [9, None, 5, 4, 7], + [6, None, None, 4, None]], + [[3, ["s1", "s4"], [6, 4]]] + ]]: + with self.subTest(samplelist=slist, traitdata=tdata): + self.assertEqual( + retrieve_samples_and_values(orders, slist, tdata), expected) + + def test_get_lrs_from_chr(self): + """Check that function gets correct LRS values""" + for trait, chromosome, expected in [ + [{"chromosomes": {}}, 3, [None]], + [{"chromosomes": {3: {"loci": [ + {"Locus": "b", "LRS": 1.9}, + {"Locus": "a", "LRS": 13.2}, + {"Locus": "d", "LRS": 53.21}, + {"Locus": "c", "LRS": 2.22}]}}}, + 3, + [13.2, 1.9, 2.22, 53.21]]]: + with self.subTest(trait=trait, chromosome=chromosome): + self.assertEqual(get_lrs_from_chr(trait, chromosome), expected) + + def test_process_traits_data_for_heatmap(self): + """Check for correct processing of data for heatmap generation.""" + self.assertEqual( + process_traits_data_for_heatmap( + {**organised_trait_1, **organised_trait_2}, + ["2", "1"], + [1, 2]), + [[[0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5], + [0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5]], + [[0.5, 0.579, 0.5], + [0.5, 0.5, 0.5]]]) |