Added GitHub workflow

.github/workflows/lint_python.yml

@@ -0,0 +1,10 @@
+name: lint_python
+on: [push, pull_request]
+jobs:
+  lint_python:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - uses: actions/setup-python@v1
+      - run: pip install flake8
+      - run: flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics

Array/array_transformations.ipynb

@@ -98,6 +98,7 @@
       "cell_type": "code",
       "metadata": {},
       "source": [
+        "import math\n",
         "# This function masks the input with a threshold on the simple cloud score.\n",
         "def cloudMask(img):\n",
         "  cloudscore = ee.Algorithms.Landsat.simpleCloudScore(img).select('cloud')\n",

Array/array_transformations.py

@@ -60,6 +60,7 @@
 '''
 
 # %%
+import math
 # This function masks the input with a threshold on the simple cloud score.
 def cloudMask(img):
   cloudscore = ee.Algorithms.Landsat.simpleCloudScore(img).select('cloud')

Image/hdr_landsat.ipynb

@@ -98,6 +98,9 @@
       "cell_type": "code",
       "metadata": {},
       "source": [
+        "import datetime\n",
+        "\n",
+        "\n",
         "Map.setCenter(-95.738, 18.453, 9)\n",
         "\n",
         "# Filter the LE7 collection to a single date.\n",

Image/hdr_landsat.py

@@ -60,6 +60,9 @@
 '''
 
 # %%
+import datetime
+
+
 Map.setCenter(-95.738, 18.453, 9)
 
 # Filter the LE7 collection to a single date.

Image/hillshade.ipynb

@@ -98,6 +98,8 @@
       "cell_type": "code",
       "metadata": {},
       "source": [
+        "import math\n",
+        "\n",
         "Map.setCenter(-121.767, 46.852, 11)\n",
         "\n",
         "def Radians(img):\n",

Image/hillshade.py

@@ -60,6 +60,8 @@
 '''
 
 # %%
+import math
+
 Map.setCenter(-121.767, 46.852, 11)
 
 def Radians(img):

Image/image_displacement.ipynb

@@ -98,6 +98,8 @@
       "cell_type": "code",
       "metadata": {},
       "source": [
+        "import math\n",
+        "\n",
         "# Load the two images to be registered.\n",
         "image1 = ee.Image('SKYSAT/GEN-A/PUBLIC/ORTHO/MULTISPECTRAL/s01_20150502T082736Z')\n",
         "image2 = ee.Image('SKYSAT/GEN-A/PUBLIC/ORTHO/MULTISPECTRAL/s01_20150305T081019Z')\n",

Image/image_displacement.py

@@ -60,6 +60,8 @@
 '''
 
 # %%
+import math
+
 # Load the two images to be registered.
 image1 = ee.Image('SKYSAT/GEN-A/PUBLIC/ORTHO/MULTISPECTRAL/s01_20150502T082736Z')
 image2 = ee.Image('SKYSAT/GEN-A/PUBLIC/ORTHO/MULTISPECTRAL/s01_20150305T081019Z')

Image/texture.ipynb

@@ -98,6 +98,8 @@
       "cell_type": "code",
       "metadata": {},
       "source": [
+        "import math\n",
+        "\n",
         "# Load a high-resolution NAIP image.\n",
         "image = ee.Image('USDA/NAIP/DOQQ/m_3712213_sw_10_1_20140613')\n",
         "\n",

Image/texture.py

@@ -60,6 +60,8 @@
 '''
 
 # %%
+import math
+
 # Load a high-resolution NAIP image.
 image = ee.Image('USDA/NAIP/DOQQ/m_3712213_sw_10_1_20140613')
 

Visualization/hillshade.ipynb

@@ -98,6 +98,9 @@
       "cell_type": "code",
       "metadata": {},
       "source": [
+        "import math\n",
+        "\n",
+        "\n",
         "def Radians(img):\n",
         "  return img.toFloat().multiply(math.pi).divide(180)\n",
         "\n",

Visualization/hillshade.py

@@ -60,6 +60,9 @@
 '''
 
 # %%
+import math
+
+
 def Radians(img):
   return img.toFloat().multiply(math.pi).divide(180)