ERROR: Failed building wheel for pyarrow_error: failed building wheel for brotli failed to

问题描述

安装HuggingFace datasets时出现报错

系统：MacOS 10.13.6

环境：Conda虚拟环境，python==3.8.1

命令：

pip install datasets

报错信息：

CMake Error at CMakeLists.txt:268 (find_package):
        By not providing "FindArrow.cmake" in CMAKE_MODULE_PATH this project has
        asked CMake to find a package configuration file provided by "Arrow", but
        CMake did not find one.
      
        Could not find a package configuration file provided by "Arrow" with any of
        the following names:
      
          ArrowConfig.cmake
          arrow-config.cmake
      
        Add the installation prefix of "Arrow" to CMAKE_PREFIX_PATH or set
        "Arrow_DIR" to a directory containing one of the above files.  If "Arrow"
        provides a separate development package or SDK, be sure it has been
        installed.
      
      
      -- Configuring incomplete, errors occurred!
      See also "/private/var/folders/sd/6d0w7lz121v38498dngh6y540000gn/T/pip-install-ewqnh087/pyarrow_673989b028794d389cba544b08d75516/build/temp.macosx-10.9-x86_64-cpython-38/CMakeFiles/CMakeOutput.log".
      error: command '/usr/local/bin/cmake' failed with exit code 1
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for pyarrow
Failed to build pyarrow
ERROR: Could not build wheels for pyarrow, which is required to install pyproject.toml-based projects

解决方案

使用Conda虚拟环境，先拉取测试数据，配置环境变量

$ cd /Users/../anaconda3/envs/env_name # 先定位到虚拟环境目录
$ git clone https://github.com/apache/arrow.git 
$ pushd arrow
$ git submodule update --init
$ export PARQUET_TEST_DATA="${PWD}/cpp/submodules/parquet-testing/data"
$ export ARROW_TEST_DATA="${PWD}/testing/data"
$ popd

conda-forge安装Arrow C++和PyArrow的依赖，但是报错`CondaValueError: Malformed version string '~': invalid character(s).`

$ conda activate env_name # 激活虚拟环境
$ conda install -c conda-forge \
       --file arrow/ci/conda_env_unix.txt \
       --file arrow/ci/conda_env_cpp.txt \
       --file arrow/ci/conda_env_python.txt \
       --file arrow/ci/conda_env_gandiva.txt \
       compilers # 从channel下载
$ export ARROW_HOME=$CONDA_PREFIX

尝试从系统虚拟环境入手，安装Arrow C++的依赖，配置环境变量。使用现有虚拟环境时安装时，发现大量深度学习相关的包，都有依赖冲突问题，需要创建新虚拟环境：

• lamini 1.0.2 requires pydantic==1.10.*，但gradio 4.4.0 requires pydantic>=2.0
• tensorflow 2.6.5 requires typing-extensions<3.11,>=3.7，但大部分要求typing-extensions>=4.7.0
• tensorflow 2.6.5 requires numpy~=1.19.2, 但大部分要求numpy>=1.22.0

$ brew update && brew bundle --file=arrow/cpp/Brewfile
$ python3 -m venv pyarrow-dev # 创建新的虚拟环境
$ source ./pyarrow-dev/bin/activate
$ pip install -r arrow/python/requirements-build.txt # 里面含有oldest-supported-numpy，无法用于Conda、HomeBrew
$ mkdir dist
$ export ARROW_HOME=$(pwd)/dist
$ export LD_LIBRARY_PATH=$(pwd)/dist/lib:$LD_LIBRARY_PATH
$ export CMAKE_PREFIX_PATH=$ARROW_HOME:$CMAKE_PREFIX_PATH

安装

$ mkdir arrow/cpp/build
$ pushd arrow/cpp/build
$ cmake -DCMAKE_INSTALL_PREFIX=$ARROW_HOME \
        -DCMAKE_INSTALL_LIBDIR=lib \
        -DCMAKE_BUILD_TYPE=Debug \
        -DARROW_BUILD_TESTS=ON \
        -DARROW_COMPUTE=ON \
        -DARROW_CSV=ON \
        -DARROW_DATASET=ON \
        -DARROW_FILESYSTEM=ON \
        -DARROW_HDFS=ON \
        -DARROW_JSON=ON \
        -DARROW_PARQUET=ON \
        -DARROW_WITH_BROTLI=ON \
        -DARROW_WITH_BZ2=ON \
        -DARROW_WITH_LZ4=ON \
        -DARROW_WITH_SNAPPY=ON \
        -DARROW_WITH_ZLIB=ON \
        -DARROW_WITH_ZSTD=ON \
        -DPARQUET_REQUIRE_ENCRYPTION=ON \
        ..
$ make -j4
$ make install
$ popd

进行到cmake步骤，又报错，暂时放弃