Enforce string-formatting with f-strings (#10980)

* First third

* Styling and fix mistake

* Quality

* All the rest

* Treat %s and %d

* typo

* Missing )

* Apply suggestions from code review

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

src/transformers/tokenization_utils_base.py

@@ -685,7 +685,7 @@ class BatchEncoding(UserDict):
         # (mfuntowicz: This code is unreachable)
         # else:
         #     raise ImportError(
-        #         "Unable to convert output to tensors format {}".format(tensor_type)
+        #         f"Unable to convert output to tensors format {tensor_type}"
         #     )
 
         # Do the tensor conversion in batch
@@ -805,9 +805,7 @@ class SpecialTokensMixin:
                 elif isinstance(value, (str, AddedToken)):
                     setattr(self, key, value)
                 else:
-                    raise TypeError(
-                        "special token {} has to be either str or AddedToken but got: {}".format(key, type(value))
-                    )
+                    raise TypeError(f"special token {key} has to be either str or AddedToken but got: {type(value)}")
 
     def sanitize_special_tokens(self) -> int:
         """
@@ -872,7 +870,7 @@ class SpecialTokensMixin:
             assert key in self.SPECIAL_TOKENS_ATTRIBUTES, f"Key {key} is not a special token"
 
             if self.verbose:
-                logger.info("Assigning %s to the %s key of the tokenizer", value, key)
+                logger.info(f"Assigning {value} to the {key} key of the tokenizer")
             setattr(self, key, value)
 
             if key == "additional_special_tokens":
@@ -1866,7 +1864,7 @@ class PreTrainedTokenizerBase(SpecialTokensMixin):
             A tuple of :obj:`str`: The files saved.
         """
         if os.path.isfile(save_directory):
-            logger.error("Provided path ({}) should be a directory, not a file".format(save_directory))
+            logger.error(f"Provided path ({save_directory}) should be a directory, not a file")
             return
         os.makedirs(save_directory, exist_ok=True)
 
@@ -3137,8 +3135,8 @@ class PreTrainedTokenizerBase(SpecialTokensMixin):
             if not self.deprecation_warnings.get("sequence-length-is-longer-than-the-specified-maximum", False):
                 logger.warning(
                     "Token indices sequence length is longer than the specified maximum sequence length "
-                    "for this model ({} > {}). Running this sequence through the model will result in "
-                    "indexing errors".format(len(ids), self.model_max_length)
+                    f"for this model ({len(ids)} > {self.model_max_length}). Running this sequence through the model "
+                    "will result in indexing errors"
                 )
             self.deprecation_warnings["sequence-length-is-longer-than-the-specified-maximum"] = True