Run pyupgrade --py39-plus on all files

src/pytest_regressions/common.py

@@ -1,10 +1,9 @@
 import difflib
 import os
+from collections.abc import MutableMapping
+from collections.abc import MutableSequence
 from pathlib import Path
 from typing import Callable
-from typing import List
-from typing import MutableMapping
-from typing import MutableSequence
 from typing import Optional
 from typing import TypeVar
 from typing import Union
@@ -19,7 +18,7 @@ def import_error_message(libname: str) -> str:
 def check_text_files(
     obtained_fn: "os.PathLike[str]",
     expected_fn: "os.PathLike[str]",
-    fix_callback: Callable[[List[str]], List[str]] = lambda x: x,
+    fix_callback: Callable[[list[str]], list[str]] = lambda x: x,
     encoding: Optional[str] = None,
 ) -> None:
     """
@@ -94,7 +93,7 @@ def perform_regression_check(
     force_regen: bool = False,
     with_test_class_names: bool = False,
     obtained_filename: Optional["os.PathLike[str]"] = None,
-    dump_aux_fn: Callable[[Path], List[str]] = lambda filename: [],
+    dump_aux_fn: Callable[[Path], list[str]] = lambda filename: [],
 ) -> None:
     """
     First run of this check will generate a expected file. Following attempts will always try to
@@ -144,7 +143,7 @@ def perform_regression_check(
         filename = datadir / (basename + extension)
         source_filename = original_datadir / (basename + extension)
 
-    def make_location_message(banner: str, filename: Path, aux_files: List[str]) -> str:
+    def make_location_message(banner: str, filename: Path, aux_files: list[str]) -> str:
         msg = [banner, f"- {filename}"]
         if aux_files:
             msg.append("Auxiliary:")

src/pytest_regressions/data_regression.py

@@ -3,7 +3,6 @@
 from pathlib import Path
 from typing import Any
 from typing import Callable
-from typing import Dict
 from typing import Optional
 
 import pytest
@@ -30,7 +29,7 @@ def __init__(
 
     def check(
         self,
-        data_dict: Dict[str, Any],
+        data_dict: dict[str, Any],
         basename: Optional[str] = None,
         fullpath: Optional["os.PathLike[str]"] = None,
         round_digits: Optional[int] = None,

src/pytest_regressions/dataframe_regression.py

@@ -1,7 +1,6 @@
 import os
 from pathlib import Path
 from typing import Any
-from typing import Dict
 from typing import Optional
 
 import pytest
@@ -22,8 +21,8 @@ class DataFrameRegressionFixture:
     def __init__(
         self, datadir: Path, original_datadir: Path, request: pytest.FixtureRequest
     ) -> None:
-        self._tolerances_dict: Dict[str, Dict[str, float]] = {}
-        self._default_tolerance: Dict[str, float] = {}
+        self._tolerances_dict: dict[str, dict[str, float]] = {}
+        self._default_tolerance: dict[str, float] = {}
 
         self.request = request
         self.datadir = datadir
@@ -187,8 +186,8 @@ def check(
         data_frame: Any,
         basename: Optional[str] = None,
         fullpath: Optional["os.PathLike[str]"] = None,
-        tolerances: Optional[Dict[str, Dict[str, float]]] = None,
-        default_tolerance: Optional[Dict[str, float]] = None,
+        tolerances: Optional[dict[str, dict[str, float]]] = None,
+        default_tolerance: Optional[dict[str, float]] = None,
     ) -> None:
         """
         Checks a pandas dataframe, containing only numeric data, against a previously recorded version, or generate a new file.

src/pytest_regressions/ndarrays_regression.py

@@ -2,7 +2,6 @@
 import zipfile
 from pathlib import Path
 from typing import Any
-from typing import Dict
 from typing import Optional
 
 import pytest
@@ -22,8 +21,8 @@ class NDArraysRegressionFixture:
     def __init__(
         self, datadir: Path, original_datadir: Path, request: pytest.FixtureRequest
     ) -> None:
-        self._tolerances_dict: Dict[str, Dict[str, float]] = {}
-        self._default_tolerance: Dict[str, float] = {}
+        self._tolerances_dict: dict[str, dict[str, float]] = {}
+        self._default_tolerance: dict[str, float] = {}
 
         self.request = request
         self.datadir = datadir
@@ -239,7 +238,7 @@ def _check_fn(self, obtained_filename: Path, expected_filename: Path) -> None:
 
             raise AssertionError(error_msg)
 
-    def _load_fn(self, filename: Path) -> Dict[str, Any]:
+    def _load_fn(self, filename: Path) -> dict[str, Any]:
         """
         Load dict contents from the given filename.
         """
@@ -260,7 +259,7 @@ def _load_fn(self, filename: Path) -> Dict[str, Any]:
             ) from e
         return result
 
-    def _dump_fn(self, data_dict: Dict[str, Any], filename: Path) -> None:
+    def _dump_fn(self, data_dict: dict[str, Any], filename: Path) -> None:
         """
         Dump dict contents to the given filename.
         """
@@ -273,11 +272,11 @@ def _dump_fn(self, data_dict: Dict[str, Any], filename: Path) -> None:
 
     def check(
         self,
-        data_dict: Dict[str, Any],
+        data_dict: dict[str, Any],
         basename: Optional[str] = None,
         fullpath: Optional["os.PathLike[str]"] = None,
-        tolerances: Optional[Dict[str, Dict[str, float]]] = None,
-        default_tolerance: Optional[Dict[str, float]] = None,
+        tolerances: Optional[dict[str, dict[str, float]]] = None,
+        default_tolerance: Optional[dict[str, float]] = None,
     ) -> None:
         """
         Checks a dictionary of NumPy ndarrays, containing only numeric data, against a previously recorded version, or generate a new file.

src/pytest_regressions/num_regression.py

@@ -1,8 +1,7 @@
 import os
+from collections.abc import Sequence
 from typing import Any
-from typing import Dict
 from typing import Optional
-from typing import Sequence
 
 from .common import import_error_message
 from .dataframe_regression import DataFrameRegressionFixture
@@ -15,11 +14,11 @@ class NumericRegressionFixture(DataFrameRegressionFixture):
 
     def check(
         self,
-        data_dict: Dict[str, Any],
+        data_dict: dict[str, Any],
         basename: Optional[str] = None,
         fullpath: Optional["os.PathLike[str]"] = None,
-        tolerances: Optional[Dict[str, Dict[str, float]]] = None,
-        default_tolerance: Optional[Dict[str, float]] = None,
+        tolerances: Optional[dict[str, dict[str, float]]] = None,
+        default_tolerance: Optional[dict[str, float]] = None,
         data_index: Optional[Sequence[int]] = None,
         fill_different_shape_with_nan: bool = True,
     ) -> None: