fix(deps): update machine-learning (#5180)

* fix(deps): update machine-learning

* updated ruff command

* use isinstance

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Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>

machine-learning/app/models/clip.py

@@ -162,9 +162,9 @@ class OpenCLIPEncoder(BaseCLIPEncoder):
         context_length = self.model_cfg["text_cfg"]["context_length"]
         pad_token = self.tokenizer_cfg["pad_token"]
 
-        self.size = (
-            self.preprocess_cfg["size"][0] if type(self.preprocess_cfg["size"]) == list else self.preprocess_cfg["size"]
-        )
+        size = self.preprocess_cfg["size"]
+        self.size = size[0] if isinstance(size, list) else size
+
         self.resampling = get_pil_resampling(self.preprocess_cfg["interpolation"])
         self.mean = np.array(self.preprocess_cfg["mean"], dtype=np.float32)
         self.std = np.array(self.preprocess_cfg["std"], dtype=np.float32)

machine-learning/app/schemas.py

@@ -42,4 +42,4 @@ class Face(TypedDict):
 
 
 def has_profiling(obj: Any) -> TypeGuard[HasProfiling]:
-    return hasattr(obj, "profiling") and type(obj.profiling) == dict
+    return hasattr(obj, "profiling") and isinstance(obj.profiling, dict)