pybind11/example/eigen.ref

fixed_r = OK
fixed_c = OK
pt_r(fixed_r) = OK
pt_c(fixed_c) = OK
pt_r(fixed_c) = OK
pt_c(fixed_r) = OK
dense_r = OK
dense_c = OK
pt_r(dense_r) = OK
pt_c(dense_c) = OK
pt_r(dense_c) = OK
pt_c(dense_r) = OK
sparse_r = OK
sparse_c = OK
pt_r(sparse_r) = OK
pt_c(sparse_c) = OK
pt_r(sparse_c) = OK
pt_c(sparse_r) = OK
double_row(first_row) = OK
double_col(first_row) = OK
double_row(first_col) = OK
double_col(first_col) = OK
double_mat_cm(0) = OK
double_mat_rm(0) = OK
double_mat_cm(1) = OK
double_mat_rm(1) = OK
double_mat_cm(2) = OK
double_mat_rm(2) = OK
transparent conversion of dense and sparse Eigen types 2016-05-05 18:33:54 +00:00			`fixed_r = OK`
			`fixed_c = OK`
			`pt_r(fixed_r) = OK`
			`pt_c(fixed_c) = OK`
			`pt_r(fixed_c) = OK`
			`pt_c(fixed_r) = OK`
			`dense_r = OK`
			`dense_c = OK`
			`pt_r(dense_r) = OK`
			`pt_c(dense_c) = OK`
			`pt_r(dense_c) = OK`
			`pt_c(dense_r) = OK`
			`sparse_r = OK`
			`sparse_c = OK`
			`pt_r(sparse_r) = OK`
			`pt_c(sparse_c) = OK`
			`pt_r(sparse_c) = OK`
			`pt_c(sparse_r) = OK`
Add tests for doubling row- and col-vectors Passing a non-contiguous one-dimensional numpy array gives incorrect results, so three of these tests fail. The only one passing is the simple case where the numpy array is contiguous and we are building a column-major vector. Subsequent commit will fix the three failing cases. 2016-07-05 19:03:02 +00:00			`double_row(first_row) = OK`
			`double_col(first_row) = OK`
			`double_row(first_col) = OK`
			`double_col(first_col) = OK`
Test eigen converts slices of 3d arrays correctly 2016-07-05 20:03:19 +00:00			`double_mat_cm(0) = OK`
			`double_mat_rm(0) = OK`
			`double_mat_cm(1) = OK`
			`double_mat_rm(1) = OK`
			`double_mat_cm(2) = OK`
			`double_mat_rm(2) = OK`