diff --git a/.github/workflows/conda.yml b/.github/workflows/conda.yml deleted file mode 100644 index 0b867094..00000000 --- a/.github/workflows/conda.yml +++ /dev/null @@ -1,46 +0,0 @@ -name: Conda - -on: - push: - branches: [main] - pull_request: - branches: [main] - -jobs: - build: - strategy: - fail-fast: true - matrix: - platform: [ubuntu-latest, macos-latest, windows-latest] - python-version: ["3.9"] - - runs-on: ${{ matrix.platform }} - - # The setup-miniconda action needs this to activate miniconda - defaults: - run: - shell: "bash -l {0}" - - steps: - - name: Checkout - uses: actions/checkout@v3 - - - name: Get conda - uses: conda-incubator/setup-miniconda@v2.2.0 - with: - miniconda-version: "latest" - auto-update-conda: true - python-version: ${{ matrix.python-version }} - channels: conda-forge - - - name: Prepare - run: conda install conda-build conda-verify pytest - - - name: Build - run: conda build conda.recipe - - - name: Install - run: conda install -c ${CONDA_PREFIX}/conda-bld/ pyclesperanto - - - name: Test - run: pytest tests diff --git a/CMakeLists.txt b/CMakeLists.txt index 83943828..e0f6fc03 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -1,7 +1,5 @@ -# Set minimum version of CMake. cmake_minimum_required(VERSION 3.20) -# Set project name and version project( ${SKBUILD_PROJECT_NAME} VERSION ${SKBUILD_PROJECT_VERSION} @@ -10,11 +8,7 @@ project( string(TOLOWER ${PROJECT_NAME} PY_PACKAGE_NAME) set(CY_PACKAGE_NAME _${PY_PACKAGE_NAME}) -set(CLIC_REPO_TAG 0.7.1) # use master or branch name for dev -set(CLIC_REPO_URL https://github.com/clEsperanto/CLIc_prototype.git) - - -# Set flags for build +## flags and options set(CMAKE_BUILD_TYPE Release) set(CMAKE_CXX_STANDARD 17) set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -D_LIBCPP_DISABLE_AVAILABILITY") @@ -22,28 +16,29 @@ if (CMAKE_CXX_COMPILER_ID STREQUAL "GNU") # library linking for UNIX set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fPIC") set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -fPIC") endif() +set(CMAKE_SKIP_INSTALL_ALL_DEPENDENCY TRUE) +option(BUILD_TESTING OFF) +option(BUILD_BENCHMARK OFF) +option(BUILD_SHARED_LIBS OFF) + + +## CLIc dependency +set(CLIC_REPO_TAG 0.7.1) # branch name for dev +set(CLIC_REPO_URL https://github.com/clEsperanto/CLIc_prototype.git) +add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/src/clic EXCLUDE_FROM_ALL) -# look for python in virtual env or conda first before checking the system. +## look for python set(Python_FIND_VIRTUALENV "FIRST") find_package(Python COMPONENTS Interpreter Development.Module REQUIRED) -## fetch CLIc from repo release -include(FetchContent) -option(BUILD_TESTING OFF) -option(BUILD_BENCHMARK OFF) -option(BUILD_SHARED_LIBS OFF) -FetchContent_Declare( - CLIc - GIT_REPOSITORY ${CLIC_REPO_URL} - GIT_TAG ${CLIC_REPO_TAG} -) -FetchContent_MakeAvailable(CLIc) - +## list of files to compile and folder to include set(PACKAGE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/${PY_PACKAGE_NAME}) -set(WRAPPER_DIR ${CMAKE_CURRENT_SOURCE_DIR}/wrapper) +set(WRAPPER_DIR ${CMAKE_CURRENT_SOURCE_DIR}/src/wrapper) file(GLOB_RECURSE WRAPPER_SOURCES_FILES ${WRAPPER_DIR}/*.cpp) + +## build the python package if(SKBUILD) # Scikit-Build does not add your site-packages to the search path # automatically, so we need to add it _or_ the pybind11 specific directory @@ -53,12 +48,10 @@ if(SKBUILD) OUTPUT_VARIABLE _tmp_dir OUTPUT_STRIP_TRAILING_WHITESPACE COMMAND_ECHO STDOUT) list(APPEND CMAKE_PREFIX_PATH "${_tmp_dir}") - find_package(pybind11 CONFIG REQUIRED) python_add_library(${CY_PACKAGE_NAME} MODULE ${WRAPPER_SOURCES_FILES} WITH_SOABI) target_link_libraries(${CY_PACKAGE_NAME} PRIVATE CLIc::CLIc pybind11::headers) - add_dependencies(${CY_PACKAGE_NAME} CLIc) target_include_directories(${CY_PACKAGE_NAME} PUBLIC "$") target_compile_definitions(${CY_PACKAGE_NAME} PRIVATE VERSION_INFO=${PROJECT_VERSION}) @@ -73,7 +66,6 @@ if(SKBUILD) else() set(CY_PACKAGE_RPATH "$ORIGIN;$ORIGIN/${CMAKE_INSTALL_LIBDIR};$ORIGIN/${CMAKE_INSTALL_BINDIR}") endif() - set_target_properties(${CY_PACKAGE_NAME} PROPERTIES INSTALL_RPATH "${CY_PACKAGE_RPATH}" BUILD_WITH_INSTALL_RPATH TRUE diff --git a/MANIFEST.in b/MANIFEST.in deleted file mode 100644 index 4f82d0ec..00000000 --- a/MANIFEST.in +++ /dev/null @@ -1,79 +0,0 @@ -include .github/dependabot.yml -include .github/workflows/build_and_test.yml -include .github/workflows/pages.yml -include .github/workflows/wheels.yml -include .gitignore -include CMakeLists.txt -include LICENSE -include MANIFEST.in -include README.md -include benchmarking/benchmark_basic_operations.ipynb -include benchmarking/benchmark_gaussian.ipynb -include benchmarking/benchmark_histogram.ipynb -include benchmarking/benchmark_mini_pipeline.ipynb -include benchmarking/benchmark_otsu.ipynb -include benchmarking/benchmarking_tribolium_workflow.ipynb -include demos/add_image_and_scalar.cl -include demos/cell_segmentation.ipynb -include demos/explore_API.ipynb -include demos/find_local_maxima.ipynb -include demos/image_API.ipynb -include demos/image_filtering.ipynb -include demos/images/cell_segmentation.png -include demos/images/explore_API.png -include demos/images/find_local_maxima.png -include demos/images/image_filtering.png -include demos/images/labeled_blobs.png -include demos/images/multi-gpu.png -include demos/images/tribolium3d_segmentation.png -include demos/multi_gpu_demo.ipynb -include demos/process_blobs.ipynb -include demos/process_tribolium.ipynb -include demos/run_custom_kernel.ipynb -include developer_docs/API_demo.ipynb -include docs/Makefile -include docs/README.rst -include docs/make.bat -include docs/source/api.rst -include docs/source/conf.py -include docs/source/index.rst -include docs/source/install.rst -include docs/source/usage.rst -include pyclesperanto/__init__.py -include pyclesperanto/_array.py -include pyclesperanto/_core.py -include pyclesperanto/_decorators.py -include pyclesperanto/_functionalities.py -include pyclesperanto/_memory.py -include pyclesperanto/_operators.py -include pyclesperanto/_tier1.py -include pyclesperanto/_tier2.py -include pyclesperanto/_tier3.py -include pyclesperanto/_tier4.py -include pyclesperanto/_tier5.py -include pyclesperanto/_version.py -include pyproject.toml -include scripts/build-opencl-linux.sh -include scripts/build-opencl-macos.sh -include scripts/build-opencl-windows.sh -include scripts/pyclesperanto_autogen_tier_script.ipynb -include setup.py -include tests/test_core.py -include tests/test_import.py -include tests/test_tier1.py -include tests/test_tier2.py -include tests/test_tier3.py -include tests/test_tier4.py -include tests/test_tier5.py -include tests/test_tier6.py -include wrapper/array_.cpp -include wrapper/core_.cpp -include wrapper/pycle_wrapper.cpp -include wrapper/pycle_wrapper.hpp -include wrapper/tier1_.cpp -include wrapper/tier2_.cpp -include wrapper/tier3_.cpp -include wrapper/tier4_.cpp -include wrapper/tier5_.cpp -include wrapper/types_.cpp -exclude MANIFEST.in diff --git a/conda.recipe/meta.yaml b/conda.recipe/meta.yaml deleted file mode 100644 index eb2f9960..00000000 --- a/conda.recipe/meta.yaml +++ /dev/null @@ -1,63 +0,0 @@ -{% set name = "pyclesperanto" %} -{% set version = "0.7.1" %} -{% set sha256 = "5e4273fb1b89c2df6cbf850903512d0334945ae3c863b1b8da5d88e357700529" %} -{% set build_number = 0 %} - -package: - name: {{ name|lower }} - version: {{ version }} - -source: - # fn: {{ name }}-{{ version }}.tar.gz - # url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz - # sha256: {{ sha256 }} - path: .. - -build: - number: {{ build_number }} - script: {{ PYTHON }} -m pip install . -vv - -requirements: - build: - - python - - {{ compiler('cxx') }} - # - {{ compiler('m2w64_cxx') }} # [win and vc<14] - host: - - python - # - libpython # [win and vc<14] - - scikit-build-core - - pybind11 - - cmake - - khronos-opencl-icd-loader # [win or osx] - - ocl-icd # [linux] - run: - - python - - numpy - - toolz - - matplotlib - - khronos-opencl-icd-loader # [win or osx] - - ocl-icd # [linux] - -test: - imports: - - pyclesperanto - requires: - - pytest - source_files: - - tests - commands: - - pytest tests - -about: - home: https://pypi.org/project/pyclesperanto/ - doc_url: https://clesperanto.github.io/pyclesperanto/ - dev_url: https://github.com/clEsperanto/pyclesperanto/ - license: BSD-3-Clause - license_file: LICENSE - summary: GPU-accelerated Image Processing library using OpenCL - description: | - pyclesperanto is the python package of clEsperanto - a multi-language framework for GPU-accelerated image processing. - clEsperanto uses OpenCL kernels from CLIJ. This package relies on the CLIc back-end for processing. -extra: - recipe-maintainers: - - StRigaud diff --git a/developer_docs/API_demo.ipynb b/developer_docs/API_demo.ipynb deleted file mode 100644 index 9f9a6c0c..00000000 --- a/developer_docs/API_demo.ipynb +++ /dev/null @@ -1,402 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "pyclesperanto 0.7.0 - running with CLIc 0.7.0\n" - ] - } - ], - "source": [ - "from skimage.io import imread, imshow\n", - "import pyclesperanto as cle\n", - "\n", - "print(\"pyclesperanto\",cle.__version__ , \"- running with CLIc\",cle.__clic_version__)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "3c10e6c3", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['cuda', 'opencl']" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cle.list_available_backends()" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "f134b445", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'CUDA backend selected.'" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cle.select_backend(backend=\"cuda\")" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['NVIDIA GeForce RTX 2080 SUPER']" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cle.list_available_devices()" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(CUDA) NVIDIA GeForce RTX 2080 SUPER\n" - ] - } - ], - "source": [ - "device = cle.select_device()\n", - "print(device)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(CUDA) NVIDIA GeForce RTX 2080 SUPER (11.7)\n", - "\tType: GPU\n", - "\tCompute Units: 48\n", - "\tGlobal Memory Size: 8366 MB\n", - "\n" - ] - } - ], - "source": [ - "print(device.info)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "image = imread(\"https://imagej.nih.gov/ij/images/blobs.gif\")\n", - "imshow(image)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "013223d9", - "metadata": {}, - "outputs": [], - "source": [ - "blurred = cle.gaussian_blur(image, sigma_x=5, sigma_y=5)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "cle.imshow(blurred)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Array\n", - "DataType\n", - "Device\n", - "Image\n", - "MemoryType\n", - "__builtins__\n", - "__cached__\n", - "__clic_version__\n", - "__common_alias__\n", - "__doc__\n", - "__file__\n", - "__loader__\n", - "__name__\n", - "__package__\n", - "__path__\n", - "__spec__\n", - "__version__\n", - "_array\n", - "_core\n", - "_decorators\n", - "_functionalities\n", - "_memory\n", - "_operators\n", - "_pyclesperanto\n", - "_tier1\n", - "_tier2\n", - "_types\n", - "_version\n", - "absolute\n", - "add_image_and_scalar\n", - "add_images_weighted\n", - "binary_and\n", - "binary_edge_detection\n", - "binary_not\n", - "binary_or\n", - "binary_subtract\n", - "binary_xor\n", - "buffer\n", - "convolve\n", - "copy\n", - "create\n", - "create_like\n", - "difference_of_gaussian\n", - "dilate_box\n", - "dilate_sphere\n", - "divide_images\n", - "equal\n", - "equal_constant\n", - "erode_box\n", - "erode_sphere\n", - "exponential\n", - "gaussian_blur\n", - "get_device\n", - "gradient_x\n", - "gradient_y\n", - "gradient_z\n", - "greater\n", - "greater_constant\n", - "greater_or_equal\n", - "greater_or_equal_constant\n", - "image\n", - "imshow\n", - "is_image\n", - "laplace_box\n", - "laplace_diamond\n", - "list_available_backends\n", - "list_available_devices\n", - "logarithm\n", - "mask\n", - "mask_label\n", - "maximum_box\n", - "maximum_image_and_scalar\n", - "maximum_images\n", - "maximum_of_all_pixels\n", - "maximum_sphere\n", - "maximum_x_projection\n", - "maximum_y_projection\n", - "maximum_z_projection\n", - "mean_box\n", - "mean_sphere\n", - "mean_x_projection\n", - "mean_y_projection\n", - "mean_z_projection\n", - "minimum_box\n", - "minimum_image_and_scalar\n", - "minimum_images\n", - "minimum_sphere\n", - "minimum_x_projection\n", - "minimum_y_projection\n", - "minimum_z_projection\n", - "multiply_image_and_scalar\n", - "multiply_images\n", - "nonzero_maximum_box\n", - "nonzero_maximum_diamond\n", - "nonzero_minimum_box\n", - "nonzero_minimum_diamond\n", - "not_equal\n", - "not_equal_constant\n", - "onlyzero_overwrite_maximum_box\n", - "onlyzero_overwrite_maximum_diamond\n", - "os\n", - "plugin_function\n", - "power\n", - "power_images\n", - "pull\n", - "push\n", - "replace_intensities\n", - "replace_intensity\n", - "select_backend\n", - "select_device\n", - "set\n", - "set_column\n", - "set_nonzero_pixels_to_pixelindex\n", - "set_row\n", - "smaller\n", - "smaller_constant\n", - "smaller_or_equal\n", - "smaller_or_equal_constant\n", - "sobel\n", - "subtract_image_from_scalar\n", - "sum_x_projection\n", - "sum_y_projection\n", - "sum_z_projection\n" - ] - } - ], - "source": [ - "for k in dir(cle):\n", - " print(k)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "02ab542b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220,\n", - " 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220,\n", - " 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220,\n", - " 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220,\n", - " 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220,\n", - " 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220,\n", - " 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220,\n", - " 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220,\n", - " 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220,\n", - " 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220,\n", - " 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220,\n", - " 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220,\n", - " 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220,\n", - " 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220,\n", - " 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220,\n", - " 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220,\n", - " 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220,\n", - " 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220,\n", - " 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220,\n", - " 220, 220, 220, 220, 220, 220, 220], dtype=uint8, mtype=buffer)" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "blurred.max(axis=2)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b7ef6ab3", - "metadata": {}, - "outputs": [], - "source": [ - "cle.imshow(blurred > 150)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.4 ('skbuild')", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.9" - }, - "vscode": { - "interpreter": { - "hash": "1bf89b5e425e511e6208a82dd7a3225392f448ad069ddd9557f507f6073233bf" - } - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/pyproject.toml b/pyproject.toml index 6b94fffd..d3191970 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -3,10 +3,26 @@ build-backend = "scikit_build_core.build" requires = ["setuptools", "wheel", "scikit-build-core>=0.4.7", "pybind11"] [tool.scikit-build] -cmake.minimum-version = "3.26.1" -minimum-version = "0.4.7" -ninja.make-fallback = false -ninja.minimum-version = "1.11" +build-dir = "build/{wheel_tag}" + +[tool.scikit-build.ninja] +make-fallback = false +minimum-version = "1.11" + +[tool.scikit-build.cmake] +build-type = "Release" +minimum-version = "3.26.1" + +[tool.scikit-build.sdist] +exclude = [ + ".flake8", + ".git*", + "*.yaml", + "*.ipynb", + "*.yml", + "tests", + "docs", +] [project] authors = [ @@ -15,14 +31,14 @@ authors = [ ] classifiers = [ "Development Status :: 2 - Pre-Alpha", + "Programming Language :: Python :: 3 :: Only", + "License :: OSI Approved :: BSD License", + "Operating System :: OS Independent", "Intended Audience :: Science/Research", "Intended Audience :: Developers", "Topic :: Software Development :: Libraries :: Python Modules", "Topic :: Scientific/Engineering :: Image Processing", "Topic :: Scientific/Engineering :: Information Analysis", - "Programming Language :: Python :: 3 :: Only", - "Operating System :: OS Independent", - "License :: OSI Approved :: BSD License", ] dependencies = [ "numpy; python_version >='3.7'", @@ -33,7 +49,7 @@ description = "GPU-accelerated image processing in python using OpenCL" name = "pyclesperanto" readme = "README.md" requires-python = ">=3.7" -version = "0.7.1" +version = "0.7.2" [project.urls] Documentation = "https://clesperanto.github.io/pyclesperanto/" diff --git a/src/clic/CMakeLists.txt b/src/clic/CMakeLists.txt new file mode 100644 index 00000000..94d6b93e --- /dev/null +++ b/src/clic/CMakeLists.txt @@ -0,0 +1,10 @@ + +## fetch CLIc from repo release +include(FetchContent) + +FetchContent_Declare( + CLIc + GIT_REPOSITORY ${CLIC_REPO_URL} + GIT_TAG ${CLIC_REPO_TAG} +) +FetchContent_MakeAvailable(CLIc) diff --git a/wrapper/array_.cpp b/src/wrapper/array_.cpp similarity index 100% rename from wrapper/array_.cpp rename to src/wrapper/array_.cpp diff --git a/wrapper/core_.cpp b/src/wrapper/core_.cpp similarity index 100% rename from wrapper/core_.cpp rename to src/wrapper/core_.cpp diff --git a/wrapper/pycle_wrapper.cpp b/src/wrapper/pycle_wrapper.cpp similarity index 100% rename from wrapper/pycle_wrapper.cpp rename to src/wrapper/pycle_wrapper.cpp diff --git a/wrapper/pycle_wrapper.hpp b/src/wrapper/pycle_wrapper.hpp similarity index 100% rename from wrapper/pycle_wrapper.hpp rename to src/wrapper/pycle_wrapper.hpp diff --git a/wrapper/tier1_.cpp b/src/wrapper/tier1_.cpp similarity index 100% rename from wrapper/tier1_.cpp rename to src/wrapper/tier1_.cpp diff --git a/wrapper/tier2_.cpp b/src/wrapper/tier2_.cpp similarity index 100% rename from wrapper/tier2_.cpp rename to src/wrapper/tier2_.cpp diff --git a/wrapper/tier3_.cpp b/src/wrapper/tier3_.cpp similarity index 100% rename from wrapper/tier3_.cpp rename to src/wrapper/tier3_.cpp diff --git a/wrapper/tier4_.cpp b/src/wrapper/tier4_.cpp similarity index 100% rename from wrapper/tier4_.cpp rename to src/wrapper/tier4_.cpp diff --git a/wrapper/tier5_.cpp b/src/wrapper/tier5_.cpp similarity index 100% rename from wrapper/tier5_.cpp rename to src/wrapper/tier5_.cpp diff --git a/wrapper/tier6_.cpp b/src/wrapper/tier6_.cpp similarity index 100% rename from wrapper/tier6_.cpp rename to src/wrapper/tier6_.cpp diff --git a/wrapper/tier7_.cpp b/src/wrapper/tier7_.cpp similarity index 100% rename from wrapper/tier7_.cpp rename to src/wrapper/tier7_.cpp diff --git a/wrapper/types_.cpp b/src/wrapper/types_.cpp similarity index 100% rename from wrapper/types_.cpp rename to src/wrapper/types_.cpp