Add CI for OSX

.github/workflows/macos-linux-conda.yml

@@ -0,0 +1,55 @@
+name: CI - EigenPy for Mac OS X/Linux via Conda
+
+on: [push,pull_request]
+
+jobs:
+  eigenpy-conda:
+    name: CI - EigenPy on ${{ matrix.os }} via Conda
+    runs-on: ${{ matrix.os }}
+
+    strategy:
+      fail-fast: false
+      matrix:
+        os: ["ubuntu-latest", "macos-latest"]
+
+    steps:
+    - uses: actions/checkout@v2
+
+    - name: Checkout submodules
+      run: |
+        git submodule update --init
+
+    - uses: conda-incubator/setup-miniconda@v2
+      with:
+        activate-environment: eigenpy
+        auto-update-conda: true
+        environment-file: .github/workflows/conda/environment.yml
+        python-version: 3.8
+
+    - name: Install cmake and update conda
+      shell: bash -l {0}
+      run: |
+        conda activate eigenpy
+        conda install cmake -c main
+    
+    - name: Build EigenPy
+      shell: bash -l {0}
+      run: |
+        conda activate eigenpy
+        echo $CONDA_PREFIX
+        
+        mkdir build
+        cd build
+
+        cmake .. -DCMAKE_INSTALL_PREFIX=$CONDA_PREFIX -DCMAKE_BUILD_TYPE=Release -DPYTHON_EXECUTABLE=$(which python3)
+        make
+        make build_tests
+        export CTEST_OUTPUT_ON_FAILURE=1
+        make test
+        make install
+
+    - name: Uninstall EigenPy
+      shell: bash -l {0}
+      run: |
+        cd build
+        make uninstall

include/eigenpy/numpy.hpp

@@ -21,10 +21,10 @@
 
 #if defined _WIN32 || defined __CYGWIN__
   #define EIGENPY_GET_PY_ARRAY_TYPE(array) \
-    call_PyArray_ObjectType(reinterpret_cast<PyObject *>(array), 0)
+    call_PyArray_MinScalarType(array)->type_num
 #else
   #define EIGENPY_GET_PY_ARRAY_TYPE(array) \
-    PyArray_ObjectType(reinterpret_cast<PyObject *>(array), 0)
+    PyArray_MinScalarType(array)->type_num
 #endif
 
 namespace eigenpy
@@ -51,6 +51,10 @@ namespace eigenpy
   EIGENPY_DLLAPI void call_PyArray_InitArrFuncs(PyArray_ArrFuncs * funcs);
 
   EIGENPY_DLLAPI int call_PyArray_RegisterDataType(PyArray_Descr * dtype);
+
+  EIGENPY_DLLAPI int call_PyArray_RegisterCanCast(PyArray_Descr *descr, int totype, NPY_SCALARKIND scalar);
+
+  EIGENPY_DLLAPI PyArray_Descr * call_PyArray_MinScalarType(PyArrayObject *arr);
 }
 #else
   #define call_PyArray_Check(py_obj) PyArray_Check(py_obj)
@@ -59,8 +63,10 @@ namespace eigenpy
     PyArray_New(py_type_ptr,nd,shape,np_type,NULL,data_ptr,0,options,NULL)
   #define getPyArrayType() &PyArray_Type
   #define call_PyArray_DescrFromType(typenum) PyArray_DescrFromType(typenum)
+  #define call_PyArray_MinScalarType(py_arr) PyArray_MinScalarType(py_arr)
   #define call_PyArray_InitArrFuncs(funcs) PyArray_InitArrFuncs(funcs)
- #define call_PyArray_RegisterDataType(dtype) PyArray_RegisterDataType(dtype)
+  #define call_PyArray_RegisterDataType(dtype) PyArray_RegisterDataType(dtype)
+  #define call_PyArray_RegisterCanCast(descr,totype,scalar) PyArray_RegisterCanCast(descr,totype,scalar)
 #endif
 
 #endif // ifndef __eigenpy_numpy_hpp__

include/eigenpy/user-type.hpp

@@ -198,6 +198,9 @@ namespace eigenpy
                                          copyswap, copyswapn,
                                          dotfunc);
 
+    call_PyArray_RegisterCanCast(call_PyArray_DescrFromType(NPY_OBJECT),
+                                 code, NPY_NOSCALAR);
+
     return code;
   }
 

src/numpy.cpp

@@ -58,6 +58,16 @@ namespace eigenpy
   {
     return PyArray_RegisterDataType(dtype);
   }
+
+  PyArray_Descr * call_PyArray_MinScalarType(PyArrayObject * arr)
+  {
+    return PyArray_MinScalarType(arr);
+  }
+
+  int call_PyArray_RegisterCanCast(PyArray_Descr *descr, int totype, NPY_SCALARKIND scalar)
+  {
+    return PyArray_RegisterCanCast(descr,totype,scalar);
+  }
 
 #endif
 }