Remove old Python code (#41226)

Signed-off-by: Yuanyuan Chen <[email protected]>

Author: cyyever

src/transformers/hf_argparser.py

@@ -262,19 +262,6 @@ def _add_dataclass_arguments(self, dtype: DataClassType):
                 "removing line of `from __future__ import annotations` which opts in Postponed "
                 "Evaluation of Annotations (PEP 563)"
             )
-        except TypeError as ex:
-            # Remove this block when we drop Python 3.9 support
-            if sys.version_info[:2] < (3, 10) and "unsupported operand type(s) for |" in str(ex):
-                python_version = ".".join(map(str, sys.version_info[:3]))
-                raise RuntimeError(
-                    f"Type resolution failed for {dtype} on Python {python_version}. Try removing "
-                    "line of `from __future__ import annotations` which opts in union types as "
-                    "`X | Y` (PEP 604) via Postponed Evaluation of Annotations (PEP 563). To "
-                    "support Python versions that lower than 3.10, you need to use "
-                    "`typing.Union[X, Y]` instead of `X | Y` and `typing.Optional[X]` instead of "
-                    "`X | None`."
-                ) from ex
-            raise
 
         for field in dataclasses.fields(dtype):
             if not field.init:

src/transformers/models/idefics3/processing_idefics3.py

@@ -108,9 +108,6 @@ class Idefics3ProcessorKwargs(ProcessingKwargs, total=False):
     }
 
 
-Idefics3ProcessorKwargs.__annotations__["images_kwargs"] = Idefics3ImagesKwargs  # python 3.8 compatibility
-
-
 class Idefics3Processor(ProcessorMixin):
     r"""
     Constructs a Idefics3 processor which wraps a LLama tokenizer and Idefics3 image processor into a single processor.

tests/peft_integration/test_peft_integration.py

@@ -715,9 +715,8 @@ def test_peft_from_pretrained_missing_keys_warning(self):
 
                 # Here we need to adjust the key name a bit to account for PEFT-specific naming.
                 # 1. Remove PEFT-specific prefix
-                # If merged after dropping Python 3.8, we can use: key = key.removeprefix(peft_prefix)
                 peft_prefix = "base_model.model."
-                key = key[len(peft_prefix) :]
+                key = key.removeprefix(peft_prefix)
                 # 2. Insert adapter name
                 prefix, _, suffix = key.rpartition(".")
                 key = f"{prefix}.other.{suffix}"