make pad method private

src/refiners/foundationals/latent_diffusion/lora.py

@@ -222,9 +222,19 @@ class SDLoraManager:
         return {name: self.get_scale(name) for name in self.names}
 
     @staticmethod
-    def pad(input: str, /, padding_length: int = 2) -> str:
-        # make all numbers the same length so they sort correctly,
-        # e.g. foo.3.bar -> foo.03.bar
+    def _pad(input: str, /, padding_length: int = 2) -> str:
+        """Make all numbers the same length so they sort correctly.
+
+        e.g. foo.3.bar -> foo.03.bar
+
+        Args:
+            input: The string to pad.
+            padding_length: The length to pad the numbers to.
+
+        Returns:
+            The padded string.
+        """
+
         new_split: list[str] = []
         for s in input.split("_"):
             if s.isdigit():
@@ -250,6 +260,7 @@ class SDLoraManager:
             The padded prefix of the key.
             A score depending on the key's suffix.
         """
+
         # this dict might not be exhaustive
         suffix_scores = {"q": 1, "k": 2, "v": 3, "in": 3, "out": 4, "out0": 4, "out_0": 4}
         patterns = ["_{}", "_{}_lora"]
@@ -260,7 +271,7 @@ class SDLoraManager:
         # get the suffix and score for `key` (default: no suffix, highest score = 5)
         (sfx, score) = next(((k, v) for k, v in key_char_order.items() if key.endswith(k)), ("", 5))
 
-        padded_key_prefix = SDLoraManager.pad(key.removesuffix(sfx))
+        padded_key_prefix = SDLoraManager._pad(key.removesuffix(sfx))
         return (padded_key_prefix, score)
 
     @staticmethod