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-rw-r--r--wqflask/tests/unit/wqflask/wgcna/__init__.py0
-rw-r--r--wqflask/tests/unit/wqflask/wgcna/test_wgcna.py50
2 files changed, 50 insertions, 0 deletions
diff --git a/wqflask/tests/unit/wqflask/wgcna/__init__.py b/wqflask/tests/unit/wqflask/wgcna/__init__.py
new file mode 100644
index 00000000..e69de29b
--- /dev/null
+++ b/wqflask/tests/unit/wqflask/wgcna/__init__.py
diff --git a/wqflask/tests/unit/wqflask/wgcna/test_wgcna.py b/wqflask/tests/unit/wqflask/wgcna/test_wgcna.py
new file mode 100644
index 00000000..8e947e2f
--- /dev/null
+++ b/wqflask/tests/unit/wqflask/wgcna/test_wgcna.py
@@ -0,0 +1,50 @@
+
+"""module contains for processing gn3 wgcna data"""
+from unittest import TestCase
+
+from wqflask.wgcna.gn3_wgcna import process_wgcna_data
+
+
+class DataProcessingTests(TestCase):
+ """class contains data processing tests"""
+
+ def test_data_processing(self):
+ """test for parsing data for datatable"""
+ output = {
+ "input": {
+ "sample_names": ["BXD1", "BXD2", "BXD3", "BXD4", "BXD5", "BXD6"],
+
+ },
+ "output": {
+ "ModEigens": {
+ "MEturquoise": [
+ 0.0646677768085351,
+ 0.137200224277058,
+ 0.63451113720732,
+ -0.544002665501479,
+ -0.489487590361863,
+ 0.197111117570427
+ ],
+ "MEgrey": [
+ 0.213,
+ 0.214,
+ 0.3141,
+ -0.545,
+ -0.423,
+ 0.156,
+ ]
+ }}}
+
+ row_data = [['BXD1', 0.065, 0.213],
+ ['BXD2', 0.137, 0.214],
+ ['BXD3', 0.635, 0.314],
+ ['BXD4', -0.544, -0.545],
+ ['BXD5', -0.489, -0.423],
+ ['BXD6', 0.197, 0.156]]
+
+ expected_results = {
+ "col_names": ["sample_names", "MEturquoise", "MEgrey"],
+ "mod_dataset": row_data
+ }
+
+ self.assertEqual(process_wgcna_data(output), expected_results)