Reformat TODO comments

bot.py

@@ -11,9 +11,9 @@ from heidi_client import *
 install(show_locals=True)
 
 
-# TODO: Only post in heidi-spam channel
-# TODO: yt-dlp music support
-# TODO: Somehow upload voicelines more easily (from discord voice message?)
+# @todo Only post in heidi-spam channel
+# @todo yt-dlp music support
+# @todo Somehow upload voicelines more easily (from discord voice message?)
 
 
 # Log to file
@@ -124,7 +124,7 @@ def user_entrance_sound_autocomplete(
         for board in boards
     }  # These are all sounds, organized per board
 
-    # TODO: Initially only suggest boards, because there are too many sounds to show them all
+    # @todo Initially only suggest boards, because there are too many sounds to show them all
     completions: List[Choice[str]] = []
     for (
         board,
@@ -224,7 +224,7 @@ async def magic_shell(interaction: Interaction, question: str) -> None:
     )
 
 
-# TODO: Allow , separated varargs, need to parse manually as slash commands don't support varargs
+# @todo Allow , separated varargs, need to parse manually as slash commands don't support varargs
 @client.tree.command(name="wähle", description="Heidi trifft die Wahl!")
 @app_commands.rename(option_a="entweder")
 @app_commands.describe(option_a="Ist es vielleicht dies?")

flake.nix

@@ -14,27 +14,6 @@
           overlays = [ devshell.overlays.default ];
         };
 
-        # TODO: Originally it was nixpkgs.fetchurl but that didn't work, pkgs.fetchurl did...
-        #       Determine the difference between nixpkgs and pkgs
-
-        # Taken from: https://github.com/gbtb/nix-stable-diffusion/blob/master/flake.nix
-        # Overlay: https://nixos.wiki/wiki/Overlays
-        # FetchURL: https://ryantm.github.io/nixpkgs/builders/fetchers/
-        torch-rocm = pkgs.hiPrio (pkgs.python310Packages.torch-bin.overrideAttrs (old: {
-          src = pkgs.fetchurl {
-            name = "torch-1.12.1+rocm5.1.1-cp310-cp310-linux_x86_64.whl";
-            url = "https://download.pytorch.org/whl/rocm5.1.1/torch-1.12.1%2Brocm5.1.1-cp310-cp310-linux_x86_64.whl";
-            hash = "sha256-kNShDx88BZjRQhWgnsaJAT8hXnStVMU1ugPNMEJcgnA=";
-          };
-        }));
-        torchvision-rocm = pkgs.hiPrio (pkgs.python310Packages.torchvision-bin.overrideAttrs (old: {
-          src = pkgs.fetchurl {
-            name = "torchvision-0.13.1+rocm5.1.1-cp310-cp310-linux_x86_64.whl";
-            url = "https://download.pytorch.org/whl/rocm5.1.1/torchvision-0.13.1%2Brocm5.1.1-cp310-cp310-linux_x86_64.whl";
-            hash = "sha256-mYk4+XNXU6rjpgWfKUDq+5fH/HNPQ5wkEtAgJUDN/Jg=";
-          };
-        }));
-
         myPython = pkgs.python311.withPackages (p: with p; [
           # Basic
           rich

heidi_helpers.py

@@ -8,6 +8,7 @@ from heidi_constants import *
 
 print("Debug: Importing heidi_helpers.py")
 
+# @todo Normalize volume when playing
 async def play_voice_line(
         interaction: Union[Interaction, None],
         voice_channel: VoiceChannel,

textgen_lstm.py

@@ -178,7 +178,7 @@ class LSTMTextGenerator(textgen):
 
     # Interface shit
 
-    # TODO: Also save/load generated prefixes
+    # @todo Also save/load generated prefixes
     def load(self):
         print(f"Loading \"{self.filename}\" LSTM model with {len(self.charbase)} characters from file.")
 

textgen_markov.py

@@ -8,8 +8,8 @@ from rich.traceback import install
 install()
 
 # NOTE: This is word based, not character based
-# TODO: Serialize and save/load model (don't train on the server)
-# TODO: Maybe extract sentence beginnings and use them as starters?
+# @todo Serialize and save/load model (don't train on the server)
+# @todo Maybe extract sentence beginnings and use them as starters?
 
 class MarkovTextGenerator(textgen):
     # The greater the order (prefix length), the lesser the variation in generation, but the better the sentences (generally).