Upgrade to xtensor 0.17.0

Author: JohanMabille

.appveyor.yml

@@ -24,7 +24,7 @@ install:
   - conda info -a
   - conda install gtest cmake -c conda-forge
   - conda install pytest numpy pybind11==2.2.1 -c conda-forge
-  - conda install xtensor==0.16.0 -c QuantStack
+  - conda install xtensor==0.17.0 -c QuantStack
   - "set PYTHONHOME=%MINICONDA%"
   - cmake -G "NMake Makefiles" -D CMAKE_INSTALL_PREFIX=%MINICONDA%\\Library -D BUILD_TESTS=ON -D PYTHON_EXECUTABLE=%MINICONDA%\\python.exe .
   - nmake test_xtensor_python

.travis.yml

@@ -97,7 +97,7 @@ install:
     - conda info -a
     - conda install pytest numpy pybind11==2.2.1 -c conda-forge
     - conda install cmake gtest -c conda-forge
-    - conda install xtensor==0.16.0 -c QuantStack
+    - conda install xtensor==0.17.0 -c QuantStack
     - cmake -D BUILD_TESTS=ON -D CMAKE_INSTALL_PREFIX=$HOME/miniconda .
     - make -j2 test_xtensor_python
     - make install

include/xtensor-python/pyarray.hpp

@@ -288,7 +288,7 @@ namespace xt
     {
         using storage_type = xbuffer_adaptor<T*>;
         using shape_type = std::vector<typename storage_type::size_type>;
-        using strides_type = shape_type;
+        using strides_type = std::vector<typename storage_type::difference_type>;
         using backstrides_type = pyarray_backstrides<pyarray<T, L>>;
         using inner_shape_type = xbuffer_adaptor<std::size_t*>;
         using inner_strides_type = pystrides_adaptor<sizeof(T)>;

test/test_common.hpp

@@ -34,7 +34,7 @@ namespace xt
         using vector_type = uvector<int>;
         using size_type = typename C::value_type;
         using shape_type = C;
-        using strides_type = C;
+        using strides_type = get_strides_t<shape_type>;
 
         using assigner_type = std::vector<std::vector<vector_type>>;