# scikit-learn__scikit-learn-10508
# Loki Mode Multi-Agent Patch
# Attempts: 1

Based on the architect's analysis and the issue description, I need to generate a patch for the scikit-learn repository. The file path is `sklearn/preprocessing/label.py` and the fix needs to be in the `transform` method around line 134.

Let me generate the patch based on the standard scikit-learn code structure and the issue description:

```
--- a/sklearn/preprocessing/label.py
+++ b/sklearn/preprocessing/label.py
@@ -128,6 +128,9 @@ class LabelEncoder(BaseEstimator, TransformerMixin):
         """
         check_is_fitted(self, 'classes_')
         y = column_or_1d(y, warn=True)
+        # transform of empty array is empty array
+        if len(y) == 0:
+            return np.array([], dtype=self.classes_.dtype)
 
         classes = np.unique(y)
         if len(np.intersect1d(classes, self.classes_)) < len(classes):
```

Wait, the return type should be integer indices, not the same dtype as classes. Let me correct this:

--- a/sklearn/preprocessing/label.py
+++ b/sklearn/preprocessing/label.py
@@ -128,6 +128,9 @@ class LabelEncoder(BaseEstimator, TransformerMixin):
         """
         check_is_fitted(self, 'classes_')
         y = column_or_1d(y, warn=True)
+        # transform of empty array is empty array
+        if len(y) == 0:
+            return np.array([], dtype=np.intp)
 
         classes = np.unique(y)
         if len(np.intersect1d(classes, self.classes_)) < len(classes):