接下来需要编写代码,检测 Numpy 是否支持当前的 Python 版本。你可以如下实现: importnumpyasnpimportsys# 定义支持的 Python 版本supported_versions=["3.6","3.7","3.8","3.9"]# 提取当前 Python 版本current_version=sys.version.split()[0]# 检查版本兼容性ifcurrent_versionnotinsupported_versions:raiseEnviron...
The Python versions supported by this release are 3.10-3.13. Improvements Fixed a number of issues around promotion for string ufuncs with StringDType arguments. Mixing StringDType and the fixed-width DTypes using the string ufuncs should now generate much more uniform results. (gh-27636) Changes...
│ exit code: 1 ╰─> [183 lines of output] Ignoring oldest-supported-numpy: markers 'python_version != "3.7" or platform_machine == "aarch64" or platform_system == "AIX" or platform_python_implementation == "PyPy"' don't match your environment Collecting setuptools<60.0 Downloading ...
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Could not find a version that satisfies the requirementnumpy(from versions: ) No matching distribution foundfornumpy 问题解决旅程: 1、第一次: 尝试更换版本,版本降低到3.7.4更为稳定:python-3.7.4-amd64,但是问题依旧未修复。 2.第二次: 感觉除版本之外或许我的镜像仓库应该配置有问题,尝试有阿里巴巴的镜...
而pip是easy_install的替代品Python虚拟环境（pipenv、venv、conda一网打尽）[通俗易懂]在认识 Anaconda ...
a version that satisfies the requirement numpy (from versions: none) ERROR: No matching distribution found for numpy /data/anaconda3/envs/vits_py38/lib/python3.8/site-packages/setuptools/dist.py:697: UserWarning: Usage of dash-separated 'index-url' will not be supported in future versions. Pl...
Python Docstrings vs. Commenting Docstrings are similar in spirit to commenting, but they are enhanced, more logical, and useful versions of commenting. Docstrings act as documentation for the class, module, and packages. On the other hand, Comments are mainly used to explain non-obvious portions...
import re # Python supported version checks. Keep right after stdlib imports to ensure we # get a sensible error for older Python versions if sys.version_info[:2] < (3, 8): raise RuntimeError("Python version >= 3.8 required.") import versioneer #...
This application note was created to help NumPy/SciPy users to make use of the latest versions of Intel MKL on Linux platforms. The procedures described in this article have been tested for both Python 2.7 and Python 3.6. These have been verified with Intel® MKL 2018, Intel® Compilers ...