lint

include/pybind11/eigen/matrix.h

@@ -224,16 +224,17 @@ struct EigenProps {
         = !show_c_contiguous && show_order && requires_col_major;
 
     static constexpr auto descriptor
-        = const_name("numpy.typing.NDArray[") + npy_format_descriptor<Scalar>::name + const_name("[")
-          + const_name<fixed_rows>(const_name<(size_t) rows>(), const_name("m")) + const_name(", ")
-          + const_name<fixed_cols>(const_name<(size_t) cols>(), const_name("n")) + const_name("]")
-          +
+        = const_name("numpy.typing.NDArray[") + npy_format_descriptor<Scalar>::name
+          + const_name("[") + const_name<fixed_rows>(const_name<(size_t) rows>(), const_name("m"))
+          + const_name(", ") + const_name<fixed_cols>(const_name<(size_t) cols>(), const_name("n"))
+          + const_name("]") +
           // For a reference type (e.g. Ref<MatrixXd>) we have other constraints that might need to
           // be satisfied: writeable=True (for a mutable reference), and, depending on the map's
           // stride options, possibly f_contiguous or c_contiguous.  We include them in the
           // descriptor output to provide some hint as to why a TypeError is occurring (otherwise
-          // it can be confusing to see that a function accepts a 'numpy.typing.NDArray[float64[3,2]]' and
-          // an error message that you *gave* a numpy.ndarray of the right type and dimensions.
+          // it can be confusing to see that a function accepts a
+          // 'numpy.typing.NDArray[float64[3,2]]' and an error message that you *gave* a
+          // numpy.ndarray of the right type and dimensions.
           const_name<show_writeable>(", flags.writeable", "")
           + const_name<show_c_contiguous>(", flags.c_contiguous", "")
           + const_name<show_f_contiguous>(", flags.f_contiguous", "") + const_name("]");

tests/test_eigen_matrix.py

@@ -105,8 +105,9 @@ def test_mutator_descriptors():
     )
     with pytest.raises(TypeError) as excinfo:
         m.fixed_mutator_a(np.array([[1, 2], [3, 4]], dtype="float32"))
-    assert "(arg0: numpy.typing.NDArray[numpy.float32[5, 6], flags.writeable]) -> None" in str(
-        excinfo.value
+    assert (
+        "(arg0: numpy.typing.NDArray[numpy.float32[5, 6], flags.writeable]) -> None"
+        in str(excinfo.value)
     )
     zr.flags.writeable = False
     with pytest.raises(TypeError):

tests/test_eigen_tensor.py

@@ -268,7 +268,8 @@ def test_round_trip_references_actually_refer(m):
 @pytest.mark.parametrize("m", submodules)
 def test_doc_string(m, doc):
     assert (
-        doc(m.copy_tensor) == "copy_tensor() -> numpy.typing.NDArray[numpy.float64[?, ?, ?]]"
+        doc(m.copy_tensor)
+        == "copy_tensor() -> numpy.typing.NDArray[numpy.float64[?, ?, ?]]"
     )
     assert (
         doc(m.copy_fixed_tensor)