Update workflow to fix import issue

.github/workflows/python-test.yml

@@ -1,12 +1,10 @@
-name: Run Tests and Build Package
+name: Run Tests
 
 on:
   push:
-    branches: [ main, develop ]
+    branches: [main, develop]
   pull_request:
-    branches: [ main, develop ]
-  schedule:
-    - cron: '0 10 5 * *' # Optional scheduled runs
+    branches: [main, develop]
 
 jobs:
   test:
@@ -31,10 +29,5 @@ jobs:
 
       - name: Run Tests with Coverage
         run: |
-          poetry run pytest ./tests --cov=./cpm_python --cov-report=xml --cov-report=term
-
-      - name: Upload Coverage Report to Codecov
-        uses: codecov/codecov-action@v3
-        with:
-          files: ./coverage.xml
-          fail_ci_if_error: true # Fails the CI if uploading fails
+          export PYTHONPATH=$(pwd)
+          poetry run pytest ./tests --cov=./cpm --cov-report=xml --cov-report=term

.gitignore

@@ -162,5 +162,6 @@ cython_debug/
 
 examples/tmp
 examples/simulated_data
+tests/tmp
 
 poetry.lock

README.md

@@ -1,4 +1,4 @@
-[![GitHub Workflow Status](https://img.shields.io/github/workflow/status/wwu-mmll/cpm_python/cpm/python-test)](https://github.com/wwu-mmll/cpm_python/actions)
+[![GitHub Workflow Status](https://github.com/wwu-mmll/confound_corrected_cpm/actions/workflows/python-test.yml/badge.svg)](https://github.com/wwu-mmll/confound_corrected_cpm/actions/workflows/python-test.yml)
 [![Coverage Status](https://coveralls.io/repos/github/wwu-mmll/cpm_python/badge.svg?branch=main)](https://coveralls.io/github/wwu-mmll/cpm_python?branch=main)
 [![Github Contributors](https://img.shields.io/github/contributors-anon/wwu-mmll/cpm_python?color=blue)](https://github.com/wwu-mmll/cpm_python/graphs/contributors)
 [![Github Commits](https://img.shields.io/github/commit-activity/y/wwu-mmll/cpm_python)](https://github.com/wwu-mmll/cpm_python/commits/main)

tests/test_cpm_regression.py

@@ -22,7 +22,6 @@ def setUp(self):
         cpm = CPMRegression(results_directory='./tmp',
                             cv=KFold(n_splits=10, shuffle=True, random_state=42),
                             edge_selection=univariate_edge_selection,
-                            add_edge_filter=True,
                             n_permutations=2)
         self.X, self.y, self.covariates = simulate_regression_data_2(n_samples=100, n_features=45)