Use updated upload_pypi action

.github/workflows/test_and_deploy.yml

@@ -13,13 +13,13 @@ jobs:
   linting:
     runs-on: ubuntu-latest
     steps:
-      - uses: neuroinformatics-unit/actions/lint@v2.0.0
+      - uses: neuroinformatics-unit/actions/lint@v2
 
   manifest:
     name: Check Manifest
     runs-on: ubuntu-latest
     steps:
-      - uses: neuroinformatics-unit/actions/check_manifest@v2.0.0
+      - uses: neuroinformatics-unit/actions/check_manifest@v2
 
   test:
     needs: [linting, manifest]
@@ -38,29 +38,24 @@ jobs:
             ~/.NeuralPlayground/*
           key: cached-test-data
           enableCrossOsArchive: true
-      - uses: neuroinformatics-unit/actions/test@v2.0.0
+      - uses: neuroinformatics-unit/actions/test@v2
         with:
           python-version: ${{ matrix.python-version }}
-          use-xvfb: true
+          secret-codecov-token: ${{ secrets.CODECOV_TOKEN }}
 
   build_sdist_wheels:
     name: Build source distribution
     needs: [test]
     if: github.event_name == 'push' && github.ref_type == 'tag'
     runs-on: ubuntu-latest
     steps:
-    - uses: neuroinformatics-unit/actions/build_sdist_wheels@v2.0.0
+    - uses: neuroinformatics-unit/actions/build_sdist_wheels@v2
 
   upload_all:
     name: Publish build distributions
     needs: [build_sdist_wheels]
     runs-on: ubuntu-latest
     steps:
-    - uses: actions/download-artifact@v3
+    - uses: neuroinformatics-unit/actions/upload_pypi@v2
       with:
-        name: artifact
-        path: dist
-    - uses: pypa/[email protected]
-      with:
-        user: __token__
-        password: ${{ secrets.TWINE_API_KEY }}
+        secret-pypi-key: ${{ secrets.TWINE_API_KEY }}

neuralplayground/arenas/discritized_objects.py

@@ -406,7 +406,7 @@ def plot_trajectory(
         else:
             return ax
 
-    def render(self, history_length=30):
+    def render(self, history_length=30, display=True):
         """Render the environment live through iterations"""
         f, ax = plt.subplots(1, 1, figsize=(8, 6))
         canvas = FigureCanvas(f)
@@ -416,5 +416,6 @@ def render(self, history_length=30):
         image = np.frombuffer(canvas.tostring_rgb(), dtype="uint8")
         image = image.reshape(f.canvas.get_width_height()[::-1] + (3,))
         print(image.shape)
-        cv2.imshow("2D_env", image)
-        cv2.waitKey(10)
+        if display:
+            cv2.imshow("2D_env", image)
+            cv2.waitKey(10)

neuralplayground/arenas/simple2d.py

@@ -347,7 +347,7 @@ def plot_trajectory(
         else:
             return ax
 
-    def render(self, history_length=30):
+    def render(self, history_length=30, display=True):
         """Render the environment live through iterations as in OpenAI gym"""
         f, ax = plt.subplots(1, 1, figsize=(8, 6))
         canvas = FigureCanvas(f)
@@ -357,5 +357,6 @@ def render(self, history_length=30):
         image = np.frombuffer(canvas.tostring_rgb(), dtype="uint8")
         image = image.reshape(f.canvas.get_width_height()[::-1] + (3,))
         print(image.shape)
-        cv2.imshow("2D_env", image)
-        cv2.waitKey(10)
+        if display:
+            cv2.imshow("2D_env", image)
+            cv2.waitKey(10)

tests/arena_exp_test.py

@@ -51,7 +51,7 @@ def test_agent_interaction(self, init_env):
             action = agent.act(obs)
             # Run environment for given action
             obs, state, reward = init_env[0].step(action)
-            init_env[0].render()
+            init_env[0].render(display=False)
         init_env[0].plot_trajectory()