不同Python版本下导入.pyd文件的方法及实现.pyd文件跨版本兼容的方案

Hey there! Let's tackle your questions about .pyd files and Python version compatibility—this is a common pain point, so I'll break it down clearly.

First, remember that .pyd files are Windows-specific compiled extensions, tightly tied to the exact Python version, architecture (32/64-bit), and compiler used to build them. To import them correctly:

• Use the matching Python interpreter for the .pyd's version. If you have Python 3.7.9 and 3.8.8 installed, explicitly call the right interpreter (e.g., python3.7 your_script.py instead of the default python which might point to 3.8.8).
• Add the directory containing your .pyd files to Python's path before importing. You can do this directly in your script:

  import sys
  sys.path.append(r"C:\path\to\your\pyd\folder")
  import your_pyd_module_name
  

Short answer: Almost certainly not, and it's not recommended. Here's why:

• Python's Application Binary Interface (ABI) changes between minor versions (like 3.7 → 3.8). Internal data structures, function signatures, and memory layouts get updated, so a .pyd compiled for 3.7 won't align with what 3.8 expects.
• Forcing the import will likely throw errors like ImportError: DLL load failed while importing... or cause crashes—there's no reliable workaround that won't lead to fragile, unpredictable behavior.

If you need compiled code that works across multiple Python versions, try these approaches:

• Use Cython with compatibility safeguards:
  Cython lets you write code that compiles to C, and you can abstract version differences. Target the lowest common denominator Python version (e.g., 3.7 if you want to support 3.7–3.11) and use Cython's features to handle ABI changes automatically.
• Build version-specific wheels:
  Instead of distributing raw .pyd files, build platform-specific wheels for each target Python version using setuptools and wheel. Users can install the correct wheel via pip, which auto-matches their interpreter. Example setup.py snippet:

  from setuptools import setup, Extension
  
  my_extension = Extension('my_module', sources=['my_module.c'])
  
  setup(
      name='my_module',
      version='1.0',
      ext_modules=[my_extension]
  )
  

  Run python setup.py bdist_wheel with each Python version you want to support to generate separate, compatible wheels.
• Decouple code with a standalone DLL:
  Wrap your compiled logic in a standalone DLL (not tied to Python), then use ctypes or cffi to call it from any Python version. This way, your core logic is independent of Python's ABI, and you just need a thin, version-agnostic Python wrapper.
• Stick to pure Python where possible:
  If performance isn't critical, rewrite your code in pure Python—it'll work across all versions that support your syntax, no compilation needed.

内容的提问来源于stack exchange，提问作者IGB