Merge pull request #90 from jorenham/maint/ruff-0.7.0

bump `ruff` to `0.7.0`, and enable `ANN`

.pre-commit-config.yaml

@@ -47,7 +47,7 @@ repos:
       - id: markdownlint
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.6.9
+    rev: v0.7.0
     hooks:
       - id: ruff
         args: [--fix, --show-fixes]

pyproject.toml

@@ -32,7 +32,7 @@ optype = "^0.6.1"
 [tool.poetry.group.lint.dependencies]
 basedmypy = "^2.6.0"
 basedpyright = "^1.19.0"
-ruff = "^0.6.9"
+ruff = "^0.7.0"
 
 [tool.poetry.group.dev.dependencies]
 poethepoet = "^0.29.0"
@@ -137,7 +137,6 @@ skip-magic-trailing-comma = false
 
 [tool.ruff.lint]
 ignore = [
-    "ANN", # TODO
     "E741",
     "COM812", # ruff format compat
     "PYI054", # numeric-literal-too-long
@@ -191,13 +190,11 @@ banned-from = [
     "optype.typing",
 ]
 [tool.ruff.lint.flake8-import-conventions.extend-aliases]
+"ctypes" = "ct"
+"datetime" = "dt"
 "numpy" = "np"
-"numpy.polynomial" = "npp"
 "numpy.typing" = "npt"
-"optype" = "op"
 "optype.numpy" = "onpt"
-"scipy" = "sp"
-"scipy._typing" = "spt"
 
 [tool.ruff.lint.isort]
 combine-as-imports = true

scipy-stubs/io/arff/_arffread.pyi

@@ -96,5 +96,5 @@ def read_relational_attribute(ofile: Iterator[str], relational_attribute: Relati
 def read_header(ofile: Iterator[str]) -> tuple[str, list[Attribute]]: ...
 def loadarff(f: FileLike[str]) -> tuple[npt.NDArray[np.void], MetaData]: ...
 def basic_stats(data: npt.NDArray[np.number[Any]]) -> tuple[np.number[Any], np.number[Any], np.number[Any], np.number[Any]]: ...
-def print_attribute(name: str, tp: Attribute, data: Any) -> None: ...
+def print_attribute(name: str, tp: Attribute, data: npt.NDArray[np.number[Any]]) -> None: ...
 def test_weka(filename: FileName) -> None: ...

scipy-stubs/sparse/_sputils.pyi

@@ -70,6 +70,6 @@ def check_shape(
 def check_reshape_kwargs(kwargs: _ReshapeKwargs) -> Literal["C", "F"] | bool: ...
 
 #
-def convert_pydata_sparse_to_scipy(arg: Any, target_format: Literal["csc", "csr"] | None = None) -> object | spmatrix: ...
+def convert_pydata_sparse_to_scipy(arg: object, target_format: Literal["csc", "csr"] | None = None) -> object | spmatrix: ...
 def matrix(*args: Untyped, **kwargs: Untyped) -> Untyped: ...
 def asmatrix(data: Untyped, dtype: Untyped | None = None) -> Untyped: ...