Create conda recipe

conda-recipe/vtkbone/bld.bat

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+
+:: Create build directory
+mkdir build
+cd build
+set BUILD_CONFIG=Release
+
+:: CMake
+cmake .. ^
+	-G "Ninja" ^
+	-DCMAKE_BUILD_TYPE=%BUILD_CONFIG% ^
+	-DCMAKE_INSTALL_PREFIX:PATH="%LIBRARY_PREFIX%" ^
+	-DBOOST_ROOT:PATH="%PREFIX%" ^
+	-DENABLE_TESTING:BOOL=ON ^
+	-DBUILD_SHARED_LIBS:BOOL=OFF ^
+	-DCMAKE_C_COMPILER="cl.exe" ^
+	-DCMAKE_CXX_COMPILER="cl.exe"
+if errorlevel 1 exit 1
+
+:: Compile and install
+ninja install
+if errorlevel 1 exit 1
+
+:: Run tests
+ctest -V
+if errorlevel 1 exit 1

conda-recipe/vtkbone/build.sh

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+
+# Create build directory
+mkdir build
+cd build
+BUILD_CONFIG=Release
+
+# Specify Python
+case $(uname | tr '[:upper:]' '[:lower:]') in
+  linux*)
+		export PYTHON_LIBRARY="${PREFIX}/lib/libpython${PY_VER}.so"
+		export PYTHON_INCLUDE_DIR="${PREFIX}/include/python${PY_VER}"
+    ;;
+  darwin*)
+		export PYTHON_LIBRARY="${PREFIX}/lib/libpython${PY_VER}.dylib"
+		export PYTHON_INCLUDE_DIR="${PREFIX}/include/python${PY_VER}"
+    ;;
+  *)
+esac
+
+# CMake
+cmake .. \
+	-G "Ninja" \
+	-DCMAKE_BUILD_TYPE=$BUILD_CONFIG \
+	-DCMAKE_PREFIX_PATH:PATH="${PREFIX}" \
+	-DCMAKE_INSTALL_PREFIX:PATH="${PREFIX}" \
+	-DCMAKE_INSTALL_RPATH:PATH="${PREFIX}/lib" \
+	-DBOOST_ROOT:PATH="${PREFIX}" \
+	-DPYTHON_LIBRARY:FILEPATH="${PYTHON_LIBRARY}" \
+	-DPYTHON_INCLUDE_DIR:PATH="${PYTHON_INCLUDE_DIR}" \
+	-DENABLE_TESTING:BOOL=ON
+
+# Compile and install
+ninja install -v
+
+# Run tests
+ctest -V

conda-recipe/vtkbone/meta.yaml

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+
+package:
+  name: vtkbone
+  version: {{ GIT_DESCRIBE_TAG | lower | replace("v","") }}
+
+source:
+  path: ./../../
+
+build:
+  number: 0
+
+requirements:
+  build:
+    - {{ compiler('c') }}
+    - cmake >=3.1.0
+    - ninja
+    - gtest
+    - boost >=1.59
+    - libnetcdf
+    - pqctio
+    - aimio
+    - vtk =6.3
+  run:
+    - boost >=1.59
+    - libnetcdf
+    - pqctio
+    - aimio
+    - vtk =6.3
+
+about:
+  home: https://github.com/Numerics88/vtkbone
+  license: MIT
+  license_family: MIT
+  license_file: LICENSE
+  summary: 'VTK classes for bone FEA'
+  description: |
+    VTK classes for processing of finite element models derived from micro-CT. vtkbone was formerly vtkn88.
+  dev_url: https://github.com/Numerics88/vtkbone