Linting to GitHub Actions

.github/workflows/Flake8_PR.yml

@@ -0,0 +1,28 @@
+name: Flake8
+
+on: [pull_request]
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v2
+    - name: Set up Python 3.9
+      uses: actions/setup-python@v1
+      with:
+        python-version: 3.9
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install flake8
+        pip install -r requirements.txt
+    - name: Setup flake8 annotations
+      uses: rbialon/flake8-annotations@v1
+    - name: Lint with flake8
+      run: |
+        # stop the build if there are Python syntax errors or undefined names
+        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+        # exit-zero treats all errors as warnings.
+        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=80 --statistics

ukat/mapping/t1.py

@@ -29,8 +29,9 @@ class T1:
         The number of TI used to calculate the map
     """
 
+
     def __init__(self, pixel_array, inversion_list, affine, tss=0, tss_axis=-2,
-                 mask=None, parameters=2, multithread=True):
+                 mask=None, parameters = 2, multithread=True):
         """Initialise a T1 class instance.
 
         Parameters
@@ -86,7 +87,7 @@ def __init__(self, pixel_array, inversion_list, affine, tss=0, tss_axis=-2,
         if mask is None:
             self.mask = np.ones(self.shape, dtype=bool)
         else:
-            self.mask = mask
+            self.mask=mask
         # Don't process any nan values
         self.mask[np.isnan(np.sum(pixel_array, axis=-1))] = False
         self.inversion_list = inversion_list