Fix 2D Nx1/1xN inputs to eigen dense vector args

This fixes a bug introduced in b68959e8
when passing in a two-dimensional, but conformable, array as the value
for a compile-time Eigen vector (such as VectorXd or RowVectorXd).  The
commit switched to using numpy to copy into the eigen data, but this
broke the described case because numpy refuses to broadcast a (N,1)
into a (N).

This commit fixes it by squeezing the input array whenever the output
array is 1-dimensional, which will let the problematic case through.
(This shouldn't squeeze inappropriately as dimension compatibility is
already checked for conformability before getting to the copy code).

include/pybind11/eigen.h

@@ -272,6 +272,7 @@ struct type_caster<Type, enable_if_t<is_eigen_dense_plain<Type>::value>> {
         value = Type(fits.rows, fits.cols);
         value = Type(fits.rows, fits.cols);
         auto ref = reinterpret_steal<array>(eigen_ref_array<props>(value));
         auto ref = reinterpret_steal<array>(eigen_ref_array<props>(value));
         if (dims == 1) ref = ref.squeeze();
         if (dims == 1) ref = ref.squeeze();
+        else if (ref.ndim() == 1) buf = buf.squeeze();
 
 
         int result = detail::npy_api::get().PyArray_CopyInto_(ref.ptr(), buf.ptr());
         int result = detail::npy_api::get().PyArray_CopyInto_(ref.ptr(), buf.ptr());
 
 

tests/test_eigen.cpp

@@ -288,6 +288,13 @@ TEST_SUBMODULE(eigen, m) {
     m.def("iss738_f1", &adjust_matrix<const Eigen::Ref<const Eigen::MatrixXd> &>, py::arg().noconvert());
     m.def("iss738_f1", &adjust_matrix<const Eigen::Ref<const Eigen::MatrixXd> &>, py::arg().noconvert());
     m.def("iss738_f2", &adjust_matrix<const Eigen::Ref<const Eigen::Matrix<double, -1, -1, Eigen::RowMajor>> &>, py::arg().noconvert());
     m.def("iss738_f2", &adjust_matrix<const Eigen::Ref<const Eigen::Matrix<double, -1, -1, Eigen::RowMajor>> &>, py::arg().noconvert());
 
 
+    // test_issue1105
+    // Issue #1105: when converting from a numpy two-dimensional (Nx1) or (1xN) value into a dense
+    // eigen Vector or RowVector, the argument would fail to load because the numpy copy would fail:
+    // numpy won't broadcast a Nx1 into a 1-dimensional vector.
+    m.def("iss1105_col", [](Eigen::VectorXd) { return true; });
+    m.def("iss1105_row", [](Eigen::RowVectorXd) { return true; });
+
     // test_named_arguments
     // test_named_arguments
     // Make sure named arguments are working properly:
     // Make sure named arguments are working properly:
     m.def("matrix_multiply", [](const py::EigenDRef<const Eigen::MatrixXd> A, const py::EigenDRef<const Eigen::MatrixXd> B)
     m.def("matrix_multiply", [](const py::EigenDRef<const Eigen::MatrixXd> A, const py::EigenDRef<const Eigen::MatrixXd> B)

tests/test_eigen.py

@@ -672,6 +672,21 @@ def test_issue738():
     assert np.all(m.iss738_f2(np.array([[1.], [2], [3]])) == np.array([[1.], [12], [23]]))
     assert np.all(m.iss738_f2(np.array([[1.], [2], [3]])) == np.array([[1.], [12], [23]]))
 
 
 
 
+def test_issue1105():
+    """Issue 1105: 1xN or Nx1 input arrays weren't accepted for eigen
+    compile-time row vectors or column vector"""
+    assert m.iss1105_row(np.ones((1, 7)))
+    assert m.iss1105_col(np.ones((7, 1)))
+
+    # These should still fail (incompatible dimensions):
+    with pytest.raises(TypeError) as excinfo:
+        m.iss1105_row(np.ones((7, 1)))
+    assert "incompatible function arguments" in str(excinfo)
+    with pytest.raises(TypeError) as excinfo:
+        m.iss1105_col(np.ones((1, 7)))
+    assert "incompatible function arguments" in str(excinfo)
+
+
 def test_custom_operator_new():
 def test_custom_operator_new():
     """Using Eigen types as member variables requires a class-specific
     """Using Eigen types as member variables requires a class-specific
     operator new with proper alignment"""
     operator new with proper alignment"""