corrected paths

games/the_env_score_california_housing.py

@@ -14,6 +14,8 @@ from sklearn.kernel_ridge import KernelRidge
 # potential squlearn qnn import!
 import random
 
+import os
+
 # Environment for reinforcement training
 import gym
 from gym import spaces
@@ -145,9 +147,8 @@ class ScoreEnv(gym.Env):
         self._num_qubits = num_qubits
         self._num_features = num_features
 
-        import os
 
-        files = os.listdir("frames")
+        files = os.listdir(os.path.abspath("frames"))
 
         # Iterate through each file
         for file in files:
@@ -335,6 +336,8 @@ class Game(AbstractGame):
         self.run_counter = 0
         self.action_counter = 0
 
+
+
     def step(self, action):
         """
         Apply action to the game.
@@ -402,7 +405,8 @@ class Game(AbstractGame):
             num_features=self.env._num_features,
         )
 
-        filename = f".\\frames\\frame_{self.frame_counter:03d}.png"
+        filename = f"frames/frame_{self.frame_counter:03d}.png"
+        filename = os.path.abspath(filename)
 
         plt.figure()
         # plt.autoscale(tight=True)

helper/demo_helper.py

@@ -9,6 +9,7 @@ from IPython.display import HTML
 def get_animation():
 
     image_folder = "frames"
+    image_folder = os.path.abspath(image_folder)
 
     # Get all image filenames from the folder
     image_files = sorted(
@@ -64,6 +65,6 @@ def get_animation():
 
     # Create animation
     ani = animation.FuncAnimation(fig, update, frames=len(frames), interval=1000)
-    ani.save("images/animation.mp4", writer="ffmpeg")
+    ani.save(os.path.abspath("images/animation.mp4"), writer="ffmpeg")
 
     return HTML('<video height="400" controls>\n<source src="images/animation.mp4" type="video/mp4">\nYour browser does not support the video tag.</video>')