Pactman Python库发布,支持分布式云原生应用开发

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资源摘要信息: "PyPI 官网下载 | pactman-2.12.0.tar.gz" 该文件信息涉及了几个重要的知识点,主要围绕Python的包管理和云原生架构。具体来说,涉及到PyPI官方资源下载、pactman这个Python库的版本信息、以及与zookeeper、分布式系统和云原生相关的技术。 首先,PyPI是Python Package Index的缩写,这是一个存储和分发Python包的仓库,它允许用户轻松地安装和使用第三方库。PyPI官方资源下载指的是从这个官方仓库下载符合Python包分发标准的软件包。在这个例子中,"pactman-2.12.0.tar.gz"是一个压缩的源代码包,用户可以通过Python的包管理工具如pip进行下载和安装。 其次,文件名称中的"pactman"指的是一个特定的Python库,版本号为2.12.0。根据文件描述,这个库可能与zookeeper或分布式系统有关。zookeeper是一个广泛用于分布式应用程序的服务协调工具,它提供了诸如命名、同步、配置管理等功能,而pactman可能是一个与此相关或依赖于zookeeper的Python库。尽管没有更详细的信息来确认pactman的具体作用,但从名称推测,它可能是一个用于构建或测试服务间契约(contract)的工具,这在微服务架构中尤为重要,用于模拟服务间的交互和约定。 再者,标签中提到的“zookeeper 分布式 云原生 cloud native Python库”表明pactman库可能与分布式系统和云原生架构紧密相关。云原生(cloud native)是一个涵盖应用程序开发、部署和服务运行的架构理念,它强调微服务、持续集成和持续部署(CI/CD)、容器化等最佳实践。这意味着,pactman库在设计和实现时考虑到了现代云平台和分布式环境的特殊需求,比如容错性、可伸缩性、服务发现和配置管理等。 总的来说,上述文件信息指向了一个特定的Python库——pactman-2.12.0,它可能与zookeeper有紧密联系,用于分布式系统中,同时也可能被设计为符合云原生架构的特性。这对于需要在分布式环境中处理服务契约、配置或协调的开发人员来说,可能是一个有价值的资源。要深入了解和使用pactman库,开发者可以访问PyPI官网下载相关版本的包,并通过阅读其文档来获取更详细的使用说明和API参考。同时,如果该库确与zookeeper有关联,那么熟悉zookeeper的基本概念和操作也可能会对理解和运用pactman有所帮助。

Collecting tensorflow-gpu Downloading tensorflow-gpu-2.12.0.tar.gz (2.6 kB) Preparing metadata (setup.py) ... done Collecting python_version>"3.7" Downloading python_version-0.0.2-py2.py3-none-any.whl (3.4 kB) Building wheels for collected packages: tensorflow-gpu Building wheel for tensorflow-gpu (setup.py) ... error error: subprocess-exited-with-error × python setup.py bdist_wheel did not run successfully. │ exit code: 1 ╰─> [18 lines of output] Traceback (most recent call last): File "<string>", line 2, in <module> File "<pip-setuptools-caller>", line 34, in <module> File "C:\Users\hzw2862612151\AppData\Local\Temp\pip-install-ksfqxluq\tensorflow-gpu_26b4be8966e04f88beecf8ba93d216a3\setup.py", line 37, in <module> raise Exception(TF_REMOVAL_WARNING) Exception: ========================================================= The "tensorflow-gpu" package has been removed! Please install "tensorflow" instead. Other than the name, the two packages have been identical since TensorFlow 2.1, or roughly since Sep 2019. For more information, see: pypi.org/project/tensorflow-gpu ========================================================= [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for tensorflow-gpu Running setup.py clean for tensorflow-gpu Failed to build tensorflow-gpu Installing collected packages: python_version, tensorflow-gpu Running setup.py install for tensorflow-gpu ... error error: subprocess-exited-with-error × Running setup.py install for tensorflow-gpu did not run successfully. │ exit code: 1 ╰─> [18 lines of output] Traceback (most recent call last): File "<string>", line 2, in <module> File "<pip-setuptools-caller>", line 34, in <module> File "C:\Users\hzw2862612151\AppData\Local\Temp\pip-install-ksfqxluq\tensorflow-gpu_26b4be8966e04f88beecf8ba93d216a3\setup.py", line 37, in <module> raise Exception(TF_REMOVAL_WARNING) Exception: ========================================================= The "tensorflow-gpu" package has been removed! Please install "tensorflow" instead. Other than the name, the two packages have been identical since TensorFlow 2.1, or roughly since Sep 2019. For more information, see: pypi.org/project/tensorflow-gpu ========================================================= [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: legacy-install-failure × Encountered error while trying to install package. ╰─> tensorflow-gpu note: This is an issue with the package mentioned above, not pip. hint: See above for output from the failure.安装过程出错

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