Format code

scripts/autogen.py

@@ -568,9 +568,11 @@ def make_md_source_for_entry(self, entry, path_stack, title_stack):
         metadata = json.dumps(
             {
                 "location_history": location_history[:-1],
-                "outline": autogen_utils.make_outline(template)
-                if entry.get("outline", True)
-                else [],
+                "outline": (
+                    autogen_utils.make_outline(template)
+                    if entry.get("outline", True)
+                    else []
+                ),
                 "location": "/"
                 + "/".join([s.replace("/", "") for s in path_stack])
                 + "/",
@@ -1132,17 +1134,19 @@ def get_working_dir(arg):
         refresh_guides=False,
         refresh_examples=False,
     )
-
+    error_msg = (
+        "Must specify command " "`make`, `serve`, `add_example`, or `add_guide`."
+    )
+    if len(sys.argv) < 2:
+        raise ValueError(error_msg)
     cmd = sys.argv[1]
     if cmd not in {
         "make",
         "serve",
         "add_example",
         "add_guide",
     }:
-        raise ValueError(
-            "Must specify command `make`, `serve`, `add_example`, or `add_guide`."
-        )
+        raise ValueError(error_msg)
     if cmd in {"add_example", "add_guide"}:
         if not len(sys.argv) in (3, 4):
             raise ValueError(

scripts/docstrings.py

@@ -1,5 +1,6 @@
 """Lightweight fork of Keras-Autodocs.
 """
+
 import warnings
 import black
 import re

scripts/examples_master.py

@@ -853,15 +853,21 @@
                     "subcategory": "Speech recognition",
                     "keras_3": True,
                 },
-                # Will be autogenerated
+                # Rest will be autogenerated
             ],
         },
         {
             "path": "rl/",
             "title": "Reinforcement Learning",
             "toc": True,
             "children": [
-                # Will be autogenerated
+                {
+                    "path": "actor_critic_cartpole",
+                    "title": "Actor Critic Method",
+                    "subcategory": "RL algorithms",
+                    "keras_3": True,
+                }
+                # Rest will be autogenerated
             ],
         },
         {

scripts/nlp_api_master.py

@@ -65,7 +65,6 @@
                 },
             ],
         },
-
         {
             "path": "bart/",
             "title": "Bart",
@@ -307,7 +306,6 @@
                 },
             ],
         },
-
         {
             "path": "gemma/",
             "title": "Gemma",

scripts/render_tags.py

@@ -10,6 +10,7 @@
     'path': Relative path of the model on keras.io,
 }
 """
+
 import inspect
 
 try:

scripts/tutobooks.py

@@ -60,6 +60,7 @@
 
 Finally, submit a PR adding `examples/your_example.py`.
 """
+
 import os
 import sys
 import json

scripts/upload_to_gcs.py

@@ -22,6 +22,7 @@
 
 After upload, you may need to invalidate the CDN cache.
 """
+
 import os
 import pathlib