chore(lint): update Ruff ignores for project conventions and maintainability (#1184)

- Added new ignores from flake8-bugbear (`B007`, `B008`)
- Ignored `C901` (high function complexity) for now, pending review
- Maintained PyTorch conventions (`N812`, `N817`)
- Allowed `E731` (lambda assignments) for flexibility
- Consolidated existing ignores (`E402`, `E501`, `F405`, `C408`, `N812`)
- Documented rationale for each ignored rule

This keeps our linting aligned with project needs while tracking
potential fixes.

Signed-off-by: Sébastien Han <seb@redhat.com>

Signed-off-by: Sébastien Han <seb@redhat.com>

llama_stack/providers/inline/inference/meta_reference/inference.py

@@ -208,7 +208,6 @@ class MetaReferenceInferenceImpl(
             logprobs = []
             stop_reason = None
 
-            tokenizer = self.generator.formatter.tokenizer
             for token_result in self.generator.completion(request):
                 tokens.append(token_result.token)
                 if token_result.text == "<|eot_id|>":

llama_stack/providers/inline/inference/meta_reference/parallel_utils.py

@@ -207,7 +207,7 @@ def maybe_parse_message(maybe_json: Optional[str]) -> Optional[ProcessingMessage
         return parse_message(maybe_json)
     except json.JSONDecodeError:
         return None
-    except ValueError as e:
+    except ValueError:
         return None
 
 
@@ -352,7 +352,7 @@ class ModelParallelProcessGroup:
                 if isinstance(obj, TaskResponse):
                     yield obj.result
 
-        except GeneratorExit as e:
+        except GeneratorExit:
             self.request_socket.send(encode_msg(CancelSentinel()))
             while True:
                 obj_json = self.request_socket.send()

llama_stack/providers/inline/inference/meta_reference/quantization/fp8_txest_disabled.py

@@ -7,6 +7,9 @@
 # Copyright (c) Meta Platforms, Inc. and affiliates.
 # This software may be used and distributed in accordance with the terms of the Llama 3 Community License Agreement.
 
+# The file gets a special treatment for now?
+# ruff: noqa: N803
+
 import unittest
 
 import torch