0. 前言 -- Highway MVVM

Highway是一款验证型MVVM框架,其核心源码简洁并配有详细注释,便于理解MVVM架构原理。本博客深入介绍了Highway框架的核心实现细节,帮助读者掌握MVVM的设计理念。

Highway是一个验证型MVVM框架,用于实现MVVM架构的内部原理。Highway的核心源码非常精简,并且做了详尽的注释解读,前期您可以通过阅读源码了解其中的实现原理。但请不要随意用于您的生产环境,因为它并没有被系统地验证过,除非您对Highway已非常了解。后续虾哥会推出相关教程,解读MVVM框架的实现细节,尽情期待。:-)

(.venv) PS C:\Users\chen4\PycharmProjects\pythonProject1\.venv\Scripts> pip install gluonnlp Collecting gluonnlp Using cached gluonnlp-0.10.0.tar.gz (344 kB) Preparing metadata (setup.py) ... done Requirement already satisfied: numpy>=1.16.0 in c:\users\chen4\pycharmprojects\pythonproject1\.venv\lib\site-packages (from gluonnlp) (1.26.4) Collecting cython (from gluonnlp) Using cached cython-3.1.2-cp312-cp312-win_amd64.whl.metadata (6.0 kB) Requirement already satisfied: packaging in c:\users\chen4\pycharmprojects\pythonproject1\.venv\lib\site-packages (from gluonnlp) (24.1) Using cached cython-3.1.2-cp312-cp312-win_amd64.whl (2.7 MB) Building wheels for collected packages: gluonnlp DEPRECATION: Building 'gluonnlp' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possib le replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'gluonnlp'. Discussion can be found at https://github.com/pypa/pip/issues/6334 Building wheel for gluonnlp (setup.py) ... error error: subprocess-exited-with-error × python setup.py bdist_wheel did not run successfully. │ exit code: 1 ╰─> [136 lines of output] C:\Users\chen4\PycharmProjects\pythonProject1\.venv\Lib\site-packages\setuptools\__init__.py:92: _DeprecatedInstaller: setuptools.installer and fetch_build_eggs are deprecated. !! ******************************************************************************** Requirements should be satisfied by a PEP 517 installer. If you are using pip, you can try `pip install --use-pep517`. By 2025-Oct-31, you need to update your project and remove deprecated calls or your builds will no longer be supported. ******************************************************************************** !! dist.fetch_build_eggs(dist.setup_requires) running bdist_wheel running build running build_py creating build\lib.win-amd64-cpython-312\gluonnlp copying src\gluonnlp\base.py -> build\lib.win-amd64-cpython-312\gluonnlp copying src\gluonnlp\_constants.py -> build\lib.win-amd64-cpython-312\gluonnlp copying src\gluonnlp\__init__.py -> build\lib.win-amd64-cpython-312\gluonnlp creating build\lib.win-amd64-cpython-312\gluonnlp\calibration copying src\gluonnlp\calibration\collector.py -> build\lib.win-amd64-cpython-312\gluonnlp\calibration copying src\gluonnlp\calibration\__init__.py -> build\lib.win-amd64-cpython-312\gluonnlp\calibration creating build\lib.win-amd64-cpython-312\gluonnlp\data copying src\gluonnlp\data\baidu_ernie_data.py -> build\lib.win-amd64-cpython-312\gluonnlp\data copying src\gluonnlp\data\candidate_sampler.py -> build\lib.win-amd64-cpython-312\gluonnlp\data copying src\gluonnlp\data\classification.py -> build\lib.win-amd64-cpython-312\gluonnlp\data copying src\gluonnlp\data\conll.py -> build\lib.win-amd64-cpython-312\gluonnlp\data copying src\gluonnlp\data\dataloader.py -> build\lib.win-amd64-cpython-312\gluonnlp\data copying src\gluonnlp\data\dataset.py -> build\lib.win-amd64-cpython-312\gluonnlp\data copying src\gluonnlp\data\datasetloader.py -> build\lib.win-amd64-cpython-312\gluonnlp\data copying src\gluonnlp\data\glue.py -> build\lib.win-amd64-cpython-312\gluonnlp\data copying src\gluonnlp\data\intent_slot.py -> build\lib.win-amd64-cpython-312\gluonnlp\data copying src\gluonnlp\data\question_answering.py -> build\lib.win-amd64-cpython-312\gluonnlp\data copying src\gluonnlp\data\registry.py -> build\lib.win-amd64-cpython-312\gluonnlp\data copying src\gluonnlp\data\sampler.py -> build\lib.win-amd64-cpython-312\gluonnlp\data copying src\gluonnlp\data\sentiment.py -> build\lib.win-amd64-cpython-312\gluonnlp\data copying src\gluonnlp\data\stream.py -> build\lib.win-amd64-cpython-312\gluonnlp\data copying src\gluonnlp\data\super_glue.py -> build\lib.win-amd64-cpython-312\gluonnlp\data copying src\gluonnlp\data\transforms.py -> build\lib.win-amd64-cpython-312\gluonnlp\data copying src\gluonnlp\data\translation.py -> build\lib.win-amd64-cpython-312\gluonnlp\data copying src\gluonnlp\data\utils.py -> build\lib.win-amd64-cpython-312\gluonnlp\data copying src\gluonnlp\data\word_embedding_evaluation.py -> build\lib.win-amd64-cpython-312\gluonnlp\data copying src\gluonnlp\data\__init__.py -> build\lib.win-amd64-cpython-312\gluonnlp\data creating build\lib.win-amd64-cpython-312\gluonnlp\embedding copying src\gluonnlp\embedding\evaluation.py -> build\lib.win-amd64-cpython-312\gluonnlp\embedding copying src\gluonnlp\embedding\token_embedding.py -> build\lib.win-amd64-cpython-312\gluonnlp\embedding copying src\gluonnlp\embedding\__init__.py -> build\lib.win-amd64-cpython-312\gluonnlp\embedding creating build\lib.win-amd64-cpython-312\gluonnlp\initializer copying src\gluonnlp\initializer\initializer.py -> build\lib.win-amd64-cpython-312\gluonnlp\initializer copying src\gluonnlp\initializer\__init__.py -> build\lib.win-amd64-cpython-312\gluonnlp\initializer creating build\lib.win-amd64-cpython-312\gluonnlp\loss copying src\gluonnlp\loss\activation_regularizer.py -> build\lib.win-amd64-cpython-312\gluonnlp\loss copying src\gluonnlp\loss\label_smoothing.py -> build\lib.win-amd64-cpython-312\gluonnlp\loss copying src\gluonnlp\loss\loss.py -> build\lib.win-amd64-cpython-312\gluonnlp\loss copying src\gluonnlp\loss\__init__.py -> build\lib.win-amd64-cpython-312\gluonnlp\loss creating build\lib.win-amd64-cpython-312\gluonnlp\metric copying src\gluonnlp\metric\length_normalized_loss.py -> build\lib.win-amd64-cpython-312\gluonnlp\metric copying src\gluonnlp\metric\masked_accuracy.py -> build\lib.win-amd64-cpython-312\gluonnlp\metric copying src\gluonnlp\metric\__init__.py -> build\lib.win-amd64-cpython-312\gluonnlp\metric creating build\lib.win-amd64-cpython-312\gluonnlp\model copying src\gluonnlp\model\attention_cell.py -> build\lib.win-amd64-cpython-312\gluonnlp\model copying src\gluonnlp\model\bert.py -> build\lib.win-amd64-cpython-312\gluonnlp\model copying src\gluonnlp\model\bilm_encoder.py -> build\lib.win-amd64-cpython-312\gluonnlp\model copying src\gluonnlp\model\block.py -> build\lib.win-amd64-cpython-312\gluonnlp\model copying src\gluonnlp\model\convolutional_encoder.py -> build\lib.win-amd64-cpython-312\gluonnlp\model copying src\gluonnlp\model\elmo.py -> build\lib.win-amd64-cpython-312\gluonnlp\model copying src\gluonnlp\model\highway.py -> build\lib.win-amd64-cpython-312\gluonnlp\model copying src\gluonnlp\model\info.py -> build\lib.win-amd64-cpython-312\gluonnlp\model copying src\gluonnlp\model\language_model.py -> build\lib.win-amd64-cpython-312\gluonnlp\model copying src\gluonnlp\model\lstmpcellwithclip.py -> build\lib.win-amd64-cpython-312\gluonnlp\model copying src\gluonnlp\model\parameter.py -> build\lib.win-amd64-cpython-312\gluonnlp\model copying src\gluonnlp\model\sampled_block.py -> build\lib.win-amd64-cpython-312\gluonnlp\model copying src\gluonnlp\model\seq2seq_encoder_decoder.py -> build\lib.win-amd64-cpython-312\gluonnlp\model copying src\gluonnlp\model\sequence_sampler.py -> build\lib.win-amd64-cpython-312\gluonnlp\model copying src\gluonnlp\model\transformer.py -> build\lib.win-amd64-cpython-312\gluonnlp\model copying src\gluonnlp\model\translation.py -> build\lib.win-amd64-cpython-312\gluonnlp\model copying src\gluonnlp\model\utils.py -> build\lib.win-amd64-cpython-312\gluonnlp\model copying src\gluonnlp\model\__init__.py -> build\lib.win-amd64-cpython-312\gluonnlp\model creating build\lib.win-amd64-cpython-312\gluonnlp\optimizer copying src\gluonnlp\optimizer\bert_adam.py -> build\lib.win-amd64-cpython-312\gluonnlp\optimizer copying src\gluonnlp\optimizer\__init__.py -> build\lib.win-amd64-cpython-312\gluonnlp\optimizer creating build\lib.win-amd64-cpython-312\gluonnlp\utils copying src\gluonnlp\utils\files.py -> build\lib.win-amd64-cpython-312\gluonnlp\utils copying src\gluonnlp\utils\parallel.py -> build\lib.win-amd64-cpython-312\gluonnlp\utils copying src\gluonnlp\utils\parameter.py -> build\lib.win-amd64-cpython-312\gluonnlp\utils copying src\gluonnlp\utils\seed.py -> build\lib.win-amd64-cpython-312\gluonnlp\utils copying src\gluonnlp\utils\version.py -> build\lib.win-amd64-cpython-312\gluonnlp\utils copying src\gluonnlp\utils\__init__.py -> build\lib.win-amd64-cpython-312\gluonnlp\utils creating build\lib.win-amd64-cpython-312\gluonnlp\vocab copying src\gluonnlp\vocab\bert.py -> build\lib.win-amd64-cpython-312\gluonnlp\vocab copying src\gluonnlp\vocab\elmo.py -> build\lib.win-amd64-cpython-312\gluonnlp\vocab copying src\gluonnlp\vocab\subwords.py -> build\lib.win-amd64-cpython-312\gluonnlp\vocab copying src\gluonnlp\vocab\vocab.py -> build\lib.win-amd64-cpython-312\gluonnlp\vocab copying src\gluonnlp\vocab\__init__.py -> build\lib.win-amd64-cpython-312\gluonnlp\vocab creating build\lib.win-amd64-cpython-312\gluonnlp\data\batchify copying src\gluonnlp\data\batchify\batchify.py -> build\lib.win-amd64-cpython-312\gluonnlp\data\batchify copying src\gluonnlp\data\batchify\embedding.py -> build\lib.win-amd64-cpython-312\gluonnlp\data\batchify copying src\gluonnlp\data\batchify\language_model.py -> build\lib.win-amd64-cpython-312\gluonnlp\data\batchify copying src\gluonnlp\data\batchify\__init__.py -> build\lib.win-amd64-cpython-312\gluonnlp\data\batchify creating build\lib.win-amd64-cpython-312\gluonnlp\data\bert copying src\gluonnlp\data\bert\glue.py -> build\lib.win-amd64-cpython-312\gluonnlp\data\bert copying src\gluonnlp\data\bert\squad.py -> build\lib.win-amd64-cpython-312\gluonnlp\data\bert copying src\gluonnlp\data\bert\__init__.py -> build\lib.win-amd64-cpython-312\gluonnlp\data\bert creating build\lib.win-amd64-cpython-312\gluonnlp\data\corpora copying src\gluonnlp\data\corpora\google_billion_word.py -> build\lib.win-amd64-cpython-312\gluonnlp\data\corpora copying src\gluonnlp\data\corpora\large_text_compression_benchmark.py -> build\lib.win-amd64-cpython-312\gluonnlp\data\corpora copying src\gluonnlp\data\corpora\wikitext.py -> build\lib.win-amd64-cpython-312\gluonnlp\data\corpora copying src\gluonnlp\data\corpora\__init__.py -> build\lib.win-amd64-cpython-312\gluonnlp\data\corpora creating build\lib.win-amd64-cpython-312\gluonnlp\data\xlnet copying src\gluonnlp\data\xlnet\squad.py -> build\lib.win-amd64-cpython-312\gluonnlp\data\xlnet copying src\gluonnlp\data\xlnet\__init__.py -> build\lib.win-amd64-cpython-312\gluonnlp\data\xlnet creating build\lib.win-amd64-cpython-312\gluonnlp\model\train copying src\gluonnlp\model\train\cache.py -> build\lib.win-amd64-cpython-312\gluonnlp\model\train copying src\gluonnlp\model\train\embedding.py -> build\lib.win-amd64-cpython-312\gluonnlp\model\train copying src\gluonnlp\model\train\language_model.py -> build\lib.win-amd64-cpython-312\gluonnlp\model\train copying src\gluonnlp\model\train\__init__.py -> build\lib.win-amd64-cpython-312\gluonnlp\model\train running egg_info writing src\gluonnlp.egg-info\PKG-INFO writing dependency_links to src\gluonnlp.egg-info\dependency_links.txt writing requirements to src\gluonnlp.egg-info\requires.txt writing top-level names to src\gluonnlp.egg-info\top_level.txt reading manifest file 'src\gluonnlp.egg-info\SOURCES.txt' reading manifest template 'MANIFEST.in' warning: no files found matching '*.py' under directory 'gluonnlp' warning: no previously-included files matching '*' found under directory 'tests' warning: no previously-included files matching '*' found under directory 'scripts' adding license file 'LICENSE' writing manifest file 'src\gluonnlp.egg-info\SOURCES.txt' copying src\gluonnlp\data\fast_bert_tokenizer.c -> build\lib.win-amd64-cpython-312\gluonnlp\data copying src\gluonnlp\data\fast_bert_tokenizer.pyx -> build\lib.win-amd64-cpython-312\gluonnlp\data running build_ext Compiling src/gluonnlp/data/fast_bert_tokenizer.pyx because it changed. [1/1] Cythonizing src/gluonnlp/data/fast_bert_tokenizer.pyx building 'gluonnlp.data.fast_bert_tokenizer' extension error: Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/ [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for gluonnlp Running setup.py clean for gluonnlp Failed to build gluonnlp ERROR: Failed to build installable wheels for some pyproject.toml based projects (gluonnlp) 以上为安装gluonnlp的报错结果
06-27
在使用 `pip install gluonnlp` 时,如果遇到错误提示 **"error: Microsoft Visual C++ 14.0 or greater is required"**,这通常意味着正在安装的库依赖于需要编译的 C/C++ 扩展代码,而当前系统缺少必要的构建工具。Windows 系统默认不包含这些工具,因此需要手动安装。 ### 三级标题:问题原因与解决方法 当尝试通过 pip 安装某些包含原生扩展的 Python 库(如 `gluonnlp`)时,若未安装 Microsoft Visual C++ 构建工具,则会触发该错误。这是因为 pip 需要调用本地编译器来构建部分非纯 Python 编写的组件[^1]。 一种直接的解决方案是访问 [Microsoft Visual C++ Build Tools](https://visualstudio.microsoft.com/visual-cpp-build-tools/) 并下载安装包进行安装。此工具集提供了必要的编译器、库和 SDK,以支持在 Windows 上构建原生代码项目[^2]。安装完成后,重新运行 `pip install gluonnlp` 命令即可继续安装过程。 对于那些希望避免安装完整 Visual Studio 或者 Build Tools 的用户来说,可以考虑寻找预编译的 wheel 文件来绕过编译步骤。例如,从可信源或社区维护的仓库中获取适用于 Windows 的 `.whl` 文件,并使用以下命令进行安装: ```bash pip install <file_path>.whl ``` 这种方法有助于减少环境中的额外依赖项,同时加快安装速度[^3]。 此外,在容器化环境中部署应用时,可以通过预先配置好所需构建工具的基础镜像来规避此类问题。这样可以在保证最小化内存占用的同时完成依赖库的正确安装[^3]。 ### 三级标题:替代方案 如果上述方法仍然无法解决问题,或者您更倾向于使用其他方式管理软件包,那么可以探索 Anaconda 发行版提供的解决方案。Conda 包管理器自带了大量科学计算相关的预编译库,包括 `gluonnlp` 及其依赖项。只需简单执行如下命令即可轻松安装: ```bash conda install -c conda-forge gluonnlp ``` ### 三级标题:注意事项 确保您的操作系统版本兼容所选的构建工具版本,并且已启用所有必要的系统更新。另外,请注意检查 Python 和 pip 是否为最新稳定版,因为旧版本可能会导致兼容性问题。
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