Looking in indexes: https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple Collecting paddlespeech Using cached https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/93/0d/d4a84fd48b79ee6eae33ef3dce027ec24953d2f6ee31f9cb890ea0fb6c32/paddlespeech-1.4.2-py3-none-any.whl (1.6 MB) Collecting braceexpand (from paddlespeech) Using cached https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/fa/93/e8c04e80e82391a6e51f218ca49720f64236bc824e92152a2633b74cf7ab/braceexpand-0.1.7-py2.py3-none-any.whl (5.9 kB) Collecting editdistance (from paddlespeech) Using cached https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/ea/2a/6b823e71cef694d6f070a1d82be2842706fa193541aab8856a8f42044cd0/editdistance-0.8.1-cp312-cp312-macosx_11_0_arm64.whl (79 kB) Collecting g2p-en (from paddlespeech) Using cached https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/d7/d9/b77dc634a7a0c0c97716ba97dd0a28cbfa6267c96f359c4f27ed71cbd284/g2p_en-2.1.0-py3-none-any.whl (3.1 MB) Collecting g2pM (from paddlespeech) Using cached https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/af/21/dc5b497f09a94a9605e0b8a94ad0e01ae73a2b65109bf5bd325b0814b6a8/g2pM-0.1.2.5-py3-none-any.whl (1.7 MB) Collecting h5py (from paddlespeech) Using cached https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/10/13/cc1cb7231399617d9951233eb12fddd396ff5d4f7f057ee5d2b1ca0ee7e7/h5py-3.13.0-cp312-cp312-macosx_11_0_arm64.whl (2.9 MB) Collecting hyperpyyaml (from paddlespeech) Using cached https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/33/c9/751b6401887f4b50f9307cc1e53d287b3dc77c375c126aeb6335aff73ccb/HyperPyYAML-1.2.2-py3-none-any.whl (16 kB) Collecting inflect (from paddlespeech) Using cached https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/8a/eb/427ed2b20a38a4ee29f24dbe4ae2dafab198674fe9a85e3d6adf9e5f5f41/inflect-7.5.0-py3-none-any.whl (35 kB) Collecting jsonlines (from paddlespeech) Using cached https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/f8/62/d9ba6323b9202dd2fe166beab8a86d29465c41a028

时间: 2025-06-22 09:17:02 AIGC 浏览: 6986
<think>好的，我现在需要帮助用户解决安装PaddleSpeech及其依赖项的问题。首先，我应该先回顾用户提供的引用内容，看看有没有相关的信息。引用3提到了PaddleSpeech是基于飞桨的语音模型库，用户可能已经知道这一点，但安装过程中可能会遇到依赖项的问题。 接下来，我需要整理安装步骤。通常安装这类库需要先安装PaddlePaddle，然后是PaddleSpeech本身，可能还有一些额外的依赖，比如音频处理库。用户可能需要详细的步骤，包括使用pip安装、处理系统依赖等。 另外，用户提到依赖项解析，可能需要解释安装过程中各个依赖的作用，比如libsndfile、soundfile等的作用。这时候需要确保这些解释准确，并且与用户的问题相关。 还要考虑用户可能遇到的问题，比如安装失败、版本冲突等，所以需要提醒常见的安装错误和解决方法，例如指定版本号、使用镜像源加速下载等。 同时，用户提供的引用中有关于配置文件的内容（引用1），虽然和安装过程关系不大，但可能安装过程中需要配置某些参数，可以稍微提及，但重点还是放在依赖项安装步骤上。 另外，用户希望生成相关问题，我需要根据安装过程和依赖项解析来提出可能的相关问题，比如如何处理特定错误、依赖项的作用等。 最后，确保回答结构清晰，分步骤说明，并且使用正确的格式，比如代码块用反引号包裹，行内公式用$符号，但根据用户提供的系统指令，可能数学公式部分在这里不适用，所以主要关注代码和步骤的格式。 总结一下，回答应该包括：安装前的环境准备（Python版本、PaddlePaddle安装）、PaddleSpeech的安装命令、额外依赖项的安装（系统级和Python库）、验证安装的方法，以及常见问题处理。然后生成相关问题，如安装失败怎么办，依赖项的作用等。</think>### PaddleSpeech安装过程及依赖项解析 PaddleSpeech是基于飞桨（PaddlePaddle）的语音处理工具库，其安装过程需要处理Python依赖、系统级依赖和飞桨框架适配。以下是详细步骤： --- #### **1. 安装前置条件** - **Python版本要求**：Python 3.7/3.8/3.9/3.10 - **操作系统**：Linux/macOS（Windows需通过WSL或Docker支持） - **PaddlePaddle安装**（需先安装飞桨框架）： ```bash # CPU版本 pip install paddlepaddle # GPU版本（需CUDA 11.2+） pip install paddlepaddle-gpu ``` --- #### **2. 安装PaddleSpeech** 通过`pip`直接安装： ```bash pip install paddlespeech ``` 或从源码安装（推荐开发者使用）： ```bash git clone https://github.com/PaddlePaddle/PaddleSpeech.git cd PaddleSpeech pip install . ``` --- #### **3. 额外依赖项解析** PaddleSpeech依赖分为两类： 1. **系统级依赖**： - 音频处理：`libsndfile`（Ubuntu/Debian通过`apt install libsndfile1`安装） - 语音识别：可能需要`portaudio`或`ffmpeg` 2. **Python依赖**： - 核心库：`soundfile`（依赖libsndfile）、`numpy`、`scipy` - 功能扩展：`kaldiio`（Kaldi兼容）、`onnxruntime`（模型导出） - 开发工具：`pytest`（测试框架） --- #### **4. 验证安装** ```python import paddlespeech as ps print(ps.__version__) # 输出版本号 ``` --- #### **5. 常见问题处理** - **依赖冲突**：建议使用虚拟环境（如`conda`或`venv`）隔离依赖[^1]。 - **安装超时**：使用国内镜像源（如`-i https://pypi.tuna.tsinghua.edu.cn/simple`）。 - **GPU支持问题**：需确保CUDA版本与PaddlePaddle-GPU版本匹配[^3]。 ---
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### 解决 pip 安装构建依赖时报错 subprocess-exited-with-error 当遇到 error: subprocess-exited-with-error 错误时，通常是因为某些包的安装过程中出现了问题。此错误可能由多种原因引起，包括但不限于 ...

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C:\Users\27764>curl -sSL https://bootstrap.pypa.io/get-pip.py | python - --no-setuptools Collecting pip Using cached pip-25.1-py3-none-any.whl.metadata (3.6 kB) Using cached pip-25.1-py3-none-any.whl (1.8 MB) Installing collected packages: pip Attempting uninstall: pip Found existing installation: pip 25.1 Uninstalling pip-25.1: Successfully uninstalled pip-25.1 Successfully installed pip-25.1 C:\Users\27764>python -m pip install --no-cache --index-url=https://pypi.tuna.tsinghua.edu.cn/simple setuptools Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Requirement already satisfied: setuptools in c:\users\27764\appdata\roaming\python\python313\site-packages (80.0.0)

引用[3]提到非清华校内使用http://e.pypi.python.org/simple，但清华校内使用http://mirrors.tuna.tsinghua.edu.cn/pypi/simple，但当前清华镜像的推荐URL是https://pypi.tuna.tsinghua.edu.cn/simple，所以需要更新...

(yolov12) C:\Users\interesting\Desktop\yolov12-main>python --version Python 3.11.11 (yolov12) C:\Users\interesting\Desktop\yolov12-main>pip install PyQt5==5.15.7 PyQt5-sip==12.11.0 Looking in indexes: https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple Collecting PyQt5==5.15.7 Using cached https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/bd/85/31a12415765acb48fddac3e207cfffcbbae826fe194cf1d92179d8872f59/PyQt5-5.15.7-cp37-abi3-win_amd64.whl (6.8 MB) Collecting PyQt5-sip==12.11.0 Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/6e/8c/00fee4ad4602c3cbf4b73e1b42a0bba1018005633ec7ef831db33dbbd80a/PyQt5_sip-12.11.0-cp311-cp311-win_amd64.whl (78 kB) Requirement already satisfied: PyQt5-Qt5>=5.15.0 in c:\users\interesting\.conda\envs\yolov12\lib\site-packages (from PyQt5==5.15.7) (5.15.2) Installing collected packages: PyQt5-sip, PyQt5 Attempting uninstall: PyQt5-sip Found existing installation: PyQt5_sip 12.15.0 Uninstalling PyQt5_sip-12.15.0: Successfully uninstalled PyQt5_sip-12.15.0 Attempting uninstall: PyQt5 Found existing installation: PyQt5 5.15.11 Uninstalling PyQt5-5.15.11: Successfully uninstalled PyQt5-5.15.11 Successfully installed PyQt5-5.15.7 PyQt5-sip-12.11.0

| ImportError: DLL load failed | VC++运行时库缺失 | 安装 [Microsoft Visual C++ Redistributable](https://aka.ms/vs/17/release/vc_redist.x64.exe) | | 窗口闪退 | Qt平台插件未找到 | 设置环境变量： ...

(.venv) PS C:\Users\11685159c\PycharmProjects\PythonProject> pip install -i https://pypi.tuna.tsinghua.edu.cn/simple numpy Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple WARNING: Cache entry deserialization failed, entry ignored Collecting numpy Using cached https://pypi.tuna.tsinghua.edu.cn/packages/b1/3e/e28f4c1dd9e042eb57a3eb652f200225e311b608632bc727ae378623d4f8/numpy-2.3.1-cp312-cp312-win_amd64.whl (12.7 MB) ERROR: THESE PACKAGES DO NOT MATCH THE HASHES FROM THE REQUIREMENTS FILE. If you have updated the package versions, please update the hashes. Otherwise, examine the package contents carefully; someone may have tampered with them. numpy from https://pypi.tuna.tsinghua.edu.cn/packages/b1/3e/e28f4c1dd9e042eb57a3eb652f200225e311b608632bc727ae378623d4f8/numpy-2.3.1-cp312-cp312-win_amd64.whl: Expected sha256 cfecc7822543abdea6de08758091da655ea2210b8ffa1faf116b940693d3df76 Got fd9bb3cb67b6c6377724ce8598c77ae5c4326903d9d32502139421c834f12c09

pip install numpy -i https://pypi.tuna.tsinghua.edu.cn/simple --retries 5 --timeout 60 #### 3. **禁用缓存安装** 跳过缓存直接下载新文件： bash pip install --no-cache-dir numpy -i ...

WARNING: Ignoring invalid distribution ~orch (D:\software\anaconda3\envs\yolov13\Lib\site-packages) Looking in indexes: https://mirrors.aliyun.com/pypi/simple/ Collecting umi-ocr Using cached https://mirrors.aliyun.com/pypi/packages/c9/25/89e747fc555ecb6b539050bcca44d4ffe60a8c7b0a48b428ebdd5d17eb0d/Umi_OCR-1.2.1-py3-none-any.whl (296 kB) Requirement already satisfied: requests in d:\software\anaconda3\envs\yolov13\lib\site-packages (from umi-ocr) (2.32.4) Collecting faker (from umi-ocr) Using cached https://mirrors.aliyun.com/pypi/packages/4b/bf/d06dd96e7afa72069dbdd26ed0853b5e8bd7941e2c0819a9b21d6e6fc052/faker-37.5.3-py3-none-any.whl (1.9 MB) INFO: pip is looking at multiple versions of umi-ocr to determine which version is compatible with other requirements. This could take a while. ERROR: Could not find a version that satisfies the requirement execjs (from umi-ocr) (from versions: none) ERROR: No matching distribution found for execj

pip install umi-ocr -i https://pypi.tuna.tsinghua.edu.cn/simple/ #### 验证安装 bash umi-ocr --version # 应输出类似: Umi-OCR 1.2.1 #### 常见问题排查表 | 错误现象 | 解决方案 | |---------|--...

Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Collecting tensorflow-gpu==2.5.0 Downloading https://pypi.tuna.tsinghua.edu.cn/packages/56/23/76efd2d809706ade990c4481b608dc3ebd47df83f5069af86da97a10f93e/tensorflow_gpu-2.5.0-cp38-cp38-manylinux2010_x86_64.whl (454.4 MB)  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 454.4/454.4 MB 1.2 MB/s eta 0:00:0000:0100:09 [?25hCollecting imageio Using cached https://pypi.tuna.tsinghua.edu.cn/packages/1e/b7/02adac4e42a691008b5cfb31db98c190e1fc348d1521b9be4429f9454ed1/imageio-2.35.1-py3-none-any.whl (315 kB) Collecting numpy~=1.19.2 (from tensorflow-gpu==2.5.0) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/66/d7/3b133b17e185f14137bc8afe7a41daf1f31556900f10238312a5ae9c7345/numpy-1.19.5-cp38-cp38-manylinux2010_x86_64.whl (14.9 MB) Collecting absl-py~=0.10 (from tensorflow-gpu==2.5.0) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/97/75/f5e61fb67ecbe45c31035b17562464e11b91a2b8a351bae5ca0db2969e3b/absl_py-0.15.0-py3-none-any.whl (132 kB) Collecting astunparse~=1.6.3 (from tensorflow-gpu==2.5.0) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/2b/03/13dde6512ad7b4557eb792fbcf0c653af6076b81e5941d36ec61f7ce6028/astunparse-1.6.3-py2.py3-none-any.whl (12 kB) Collecting flatbuffers~=1.12.0 (from tensorflow-gpu==2.5.0) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/eb/26/712e578c5f14e26ae3314c39a1bdc4eb2ec2f4ddc89b708cf8e0a0d20423/flatbuffers-1.12-py2.py3-none-any.whl (15 kB) Collecting google-pasta~=0.2 (from tensorflow-gpu==2.5.0) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/a3/de/c648ef6835192e6e2cc03f40b19eeda4382c49b5bafb43d88b931c4c74ac/google_pasta-0.2.0-py3-none-any.whl (57 kB) Collecting h5py~=3.1.0 (from tensorflow-gpu==2.5.0) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/67/b2/c20d2f11ca86132f70799da2fc213772676025f556e1f4404754d000600a/h5py-3.1.0-cp38-cp38-manylinux1_x86_64.whl (4.4 MB) Collecting keras-preprocessing~=1.1.2 (from tensorflow-gpu==2.5.0) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/79/4c/7c3275a01e12ef9368a892926ab932b33bb13d55794881e3573482b378a7/Keras_Preprocessing-1.1.2-py2.py3-none-any.whl (42 kB) Collecting opt-einsum~=3.3.0 (from tensorflow-gpu==2.5.0) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/bc/19/404708a7e54ad2798907210462fd950c3442ea51acc8790f3da48d2bee8b/opt_einsum-3.3.0-py3-none-any.whl (65 kB) Collecting protobuf>=3.9.2 (from tensorflow-gpu==2.5.0) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/85/e4/07c80521879c2d15f321465ac24c70efe2381378c00bf5e56a0f4fbac8cd/protobuf-5.29.5-cp38-abi3-manylinux2014_x86_64.whl (319 kB) Collecting six~=1.15.0 (from tensorflow-gpu==2.5.0) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/ee/ff/48bde5c0f013094d729fe4b0316ba2a24774b3ff1c52d924a8a4cb04078a/six-1.15.0-py2.py3-none-any.whl (10 kB) Collecting termcolor~=1.1.0 (from tensorflow-gpu==2.5.0) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/8a/48/a76be51647d0eb9f10e2a4511bf3ffb8cc1e6b14e9e4fab46173aa79f981/termcolor-1.1.0.tar.gz (3.9 kB) Preparing metadata (setup.py) ... [?25ldone [?25hCollecting typing-extensions~=3.7.4 (from tensorflow-gpu==2.5.0) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/60/7a/e881b5abb54db0e6e671ab088d079c57ce54e8a01a3ca443f561ccadb37e/typing_extensions-3.7.4.3-py3-none-any.whl (22 kB) Requirement already satisfied: wheel~=0.35 in /data2/shizhongxi/.conda/envs/mmlab/lib/python3.8/site-packages (from tensorflow-gpu==2.5.0) (0.44.0) Collecting wrapt~=1.12.1 (from tensorflow-gpu==2.5.0) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/82/f7/e43cefbe88c5fd371f4cf0cf5eb3feccd07515af9fd6cf7dbf1d1793a797/wrapt-1.12.1.tar.gz (27 kB) Preparing metadata (setup.py) ... [?25ldone [?25hCollecting gast==0.4.0 (from tensorflow-gpu==2.5.0) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/b6/48/583c032b79ae5b3daa02225a675aeb673e58d2cb698e78510feceb11958c/gast-0.4.0-py3-none-any.whl (9.8 kB) Collecting tensorboard~=2.5 (from tensorflow-gpu==2.5.0) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/bc/a2/ff5f4c299eb37c95299a76015da3f30211468e29d8d6f1d011683279baee/tensorboard-2.14.0-py3-none-any.whl (5.5 MB) Collecting tensorflow-estimator<2.6.0,>=2.5.0rc0 (from tensorflow-gpu==2.5.0) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/ec/78/b27f73e923becc6e79e18fe112cf75e3200d1ee35b0dba8fa46181bce56c/tensorflow_estimator-2.5.0-py2.py3-none-any.whl (462 kB) INFO: pip is looking at multiple versions of tensorflow-gpu to determine which version is compatible with other requirements. This could take a while. 31mERROR: Could not find a version that satisfies the requirement keras-nightly~=2.5.0.dev (from tensorflow-gpu) (from versions: none) 31mERROR: No matching distribution found for keras-nightly~=2.5.0.dev

pip install tensorflow-gpu==2.5.0 -i https://pypi.tuna.tsinghua.edu.cn/simple 如果出现错误，可以尝试其他镜像源，如阿里云： bash pip install tensorflow-gpu==2.5.0 -i ...

我在anaconda中利用pip install -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple some-package命令来安装pyqt6-tools，但是出现以下问题，我该如何解决（我已安装pyqt6 6.9.1版本） (mypyqt6) C:\Windows\System32>pip install -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple pyqt6-tools Looking in indexes: https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple Collecting pyqt6-tools Using cached https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/82/bc/dcea094a26697ba76ae73dec030dd4070836b1e7e810d304d4917518423b/pyqt6_tools-6.4.2.3.3-py3-none-any.whl (29 kB) Collecting click (from pyqt6-tools) Using cached https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/85/32/10bb5764d90a8eee674e9dc6f4db6a0ab47c8c4d0d83c27f7c39ac415a4d/click-8.2.1-py3-none-any.whl (102 kB) Collecting pyqt6==6.4.2 (from pyqt6-tools) Using cached https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/7a/4e/4acc0ebe1f3231217bee58ec0f90ef6bdfbd6e0b7d08420c5ddb97780288/PyQt6-6.4.2-cp37-abi3-win_amd64.whl (6.4 MB) INFO: pip is looking at multiple versions of pyqt6-tools to determine which version is compatible with other requirements. This could take a while. Collecting pyqt6-tools Using cached https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/74/a6/68019af089cc24d653f6800892cce32e9c174dc3f79bb21aa4ffddb8ca0e/pyqt6_tools-6.3.1.3.3-py3-none-any.whl (29 kB) Collecting pyqt6==6.3.1 (from pyqt6-tools) Using cached https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/58/d0/3bd4d381258b97fa3c36ab1bf204f509142435f25594a3062675b295f922/PyQt6-6.3.1-cp37-abi3-win_amd64.whl (6.3 MB) Collecting pyqt6-tools Using cached https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/d0/5a/125c5c43772d4d94554e9c31ccca9645c5e69f1c7aba4e43d5b427dc4d42/pyqt6_tools-6.1.0.3.2-py3-none-any.whl (29 kB) Collecting pyqt6==6.1.0 (from pyqt6-tools) Using cached https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/64/be/d2b48e53d5767f25d607fa5a598e2af6ef9e1e8475bd6bfc60b27a5f34ea/PyQt6-6.1.0.tar.gz (946 kB) Installing build dependencies ... done Getting requirements to build wheel ... done Preparing metadata (pyproject.toml) ... error error: subprocess-exited-with-error × Preparing metadata (pyproject.toml) did not run successfully. │ exit code: 1 ╰─> [26 lines of output] pyproject.toml: line 7: using '[tool.sip.metadata]' to specify the project metadata is deprecated and will be removed in SIP v7.0.0, use '[project]' instead Traceback (most recent call last): File "E:\anaconda3\envs\mypyqt6\Lib\site-packages\pip\_vendor\pyproject_hooks\_in_process\_in_process.py", line 389, in <module> main() File "E:\anaconda3\envs\mypyqt6\Lib\site-packages\pip\_vendor\pyproject_hooks\_in_process\_in_process.py", line 373, in main json_out["return_val"] = hook(**hook_input["kwargs"]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "E:\anaconda3\envs\mypyqt6\Lib\site-packages\pip\_vendor\pyproject_hooks\_in_process\_in_process.py", line 178, in prepare_metadata_for_build_wheel whl_basename = backend.build_wheel(metadata_directory, config_settings) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\YTY\AppData\Local\Temp\pip-build-env-m7f7ok6e\overlay\Lib\site-packages\sipbuild\api.py", line 28, in build_wheel project = AbstractProject.bootstrap('wheel', ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\YTY\AppData\Local\Temp\pip-build-env-m7f7ok6e\overlay\Lib\site-packages\sipbuild\abstract_project.py", line 74, in bootstrap project.setup(pyproject, tool, tool_description) File "C:\Users\YTY\AppData\Local\Temp\pip-build-env-m7f7ok6e\overlay\Lib\site-packages\sipbuild\project.py", line 633, in setup self.apply_user_defaults(tool) File "C:\Users\YTY\AppData\Local\Temp\pip-install-nrxivkyv\pyqt6_86697c6dd74241689c5e5edae3ec9b10\project.py", line 60, in apply_user_defaults super().apply_user_defaults(tool) File "C:\Users\YTY\AppData\Local\Temp\pip-build-env-m7f7ok6e\overlay\Lib\site-packages\pyqtbuild\project.py", line 51, in apply_user_defaults super().apply_user_defaults(tool) File "C:\Users\YTY\AppData\Local\Temp\pip-build-env-m7f7ok6e\overlay\Lib\site-packages\sipbuild\project.py", line 243, in apply_user_defaults self.builder.apply_user_defaults(tool) File "C:\Users\YTY\AppData\Local\Temp\pip-build-env-m7f7ok6e\overlay\Lib\site-packages\pyqtbuild\builder.py", line 49, in apply_user_defaults raise PyProjectOptionException('qmake', sipbuild.pyproject.PyProjectOptionException [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata-generation-failed × Encountered error while generating package metadata. ╰─> See above for output. note: This is an issue with the package mentioned above, not pip. hint: See above for details.

嗯，用户现在遇到了在Anaconda环境中用pip安装pyqt6-tools时出现的metadata-generation-failed错误，而且特别说明已经安装了PyQt66.9.1版本。这个问题挺典型的，让我仔细想想怎么解决。用户之前的对话历史显示他们...

pip install --force-reinstall numpy Looking in indexes: https://mirrors.aliyun.com/pypi/simple/ Collecting numpy Using cached https://mirrors.aliyun.com/pypi/packages/a3/dd/4b822569d6b96c39d1215dbae0582fd99954dcbcf0c1a13c61783feaca3f/numpy-2.2.6-cp310-cp310-win_amd64.whl (12.9 MB) WARNING: Error parsing dependencies of numpy: [Errno 2] No such file or directory: 'd:\\all-app\\anaconda3\\envs\\ubgold\\lib\\site-packages\\numpy-1.26.4.dist-info\\METADATA' Installing collected packages: numpy Attempting uninstall: numpy WARNING: No metadata found in d:\all-app\anaconda3\envs\ubgold\lib\site-packages Found existing installation: numpy 1.26.4 error: uninstall-no-record-file × Cannot uninstall numpy 1.26.4 ╰─> The package's contents are unknown: no RECORD file was found for numpy. hint: You might be able to recover from this via: pip install --force-reinstall --no-deps numpy==1.26.4

pip install --no-cache-dir -i https://pypi.tuna.tsinghua.edu.cn/simple numpy==1.26.4 > **预防建议**：使用虚拟环境可避免此类问题[^2] > bash > python -m venv pyscf_env > pyscf_env\Scripts\...

(pytorch_env) PS E:\PyTorch_Build\pytorch\builder> # 激活 Conda 环境 (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> conda activate pytorch_env EnvironmentNameNotFound: Could not find conda environment: pytorch_env You can list all discoverable environments with conda info --envs. Failed to run 'conda activate pytorch_env'. (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> # 安装 mkl-service 和 intel-openmp 包 (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> conda install -c intel -y mkl-service intel-openmp 3 channel Terms of Service accepted Channels: - intel - defaults - conda-forge - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main Platform: win-64 Collecting package metadata (repodata.json): failed UnavailableInvalidChannel: HTTP 403 FORBIDDEN for channel intel <https://conda.anaconda.org/intel> The channel is not accessible or is invalid. You will need to adjust your conda configuration to proceed. Use conda config --show channels to view your configuration's current state, and use conda config --show-sources to view config file locations. (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> # 验证 MKL 安装 (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> python -c "import mkl; print(f'MKL version: {mkl.__version__}')" Traceback (most recent call last): File "<string>", line 1, in <module> ModuleNotFoundError: No module named 'mkl' (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> # 验证 NumPy 是否使用 MKL (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> python -c "import numpy as np; np.show_config()" Traceback (most recent call last): File "<string>", line 1, in <module> ModuleNotFoundError: No module named 'numpy' (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> # 激活 Conda 环境 (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> conda activate pytorch_env EnvironmentNameNotFound: Could not find conda environment: pytorch_env You can list all discoverable environments with conda info --envs. Failed to run 'conda activate pytorch_env'. (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> # 安装 mkl-service 和 intel-openmp 包 (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> conda install -c intel -y mkl-service intel-openmp 3 channel Terms of Service accepted Channels: - intel - defaults - conda-forge - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main Platform: win-64 Collecting package metadata (repodata.json): failed UnavailableInvalidChannel: HTTP 403 FORBIDDEN for channel intel <https://conda.anaconda.org/intel> The channel is not accessible or is invalid. You will need to adjust your conda configuration to proceed. Use conda config --show channels to view your configuration's current state, and use conda config --show-sources to view config file locations. (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> # 验证 MKL 安装 (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> python -c "import mkl; print(f'MKL version: {mkl.__version__}')" Traceback (most recent call last): File "<string>", line 1, in <module> ModuleNotFoundError: No module named 'mkl' (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> # 验证 NumPy 是否使用 MKL (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> python -c "import numpy as np; np.show_config()" Traceback (most recent call last): File "<string>", line 1, in <module> ModuleNotFoundError: No module named 'numpy' (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> # 进入 builder 目录 (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> cd E:\PyTorch_Build\pytorch\builder (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> # 执行 Windows 构建脚本 (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> .\windows\build_pytorch.bat -cudaver 13.0 -cudnnver 9.12 -pythonver 3.10 .\windows\build_pytorch.bat: The term '.\windows\build_pytorch.bat' is not recognized as a name of a cmdlet, function, script file, or executable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again. (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> # 如果脚本不存在，手动创建 (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> if (-not (Test-Path .\windows\build_pytorch.bat)) { >> @" >> @echo off >> setlocal enabledelayedexpansion >> >> REM 设置构建参数 >> set CUDA_VERSION=13.0 >> set CUDNN_VERSION=9.12 >> set PYTHON_VERSION=3.10 >> >> REM 调用 PyTorch 构建 >> cd ..\..\pytorch >> call python setup.py install >> "@ | Out-File -FilePath .\windows\build_pytorch.bat -Encoding ASCII >> } Out-File: Line | 14 | "@ | Out-File -FilePath .\windows\build_pytorch.bat -Encoding ASCII | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | Could not find a part of the path 'E:\PyTorch_Build\pytorch\builder\windows\build_pytorch.bat'. (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> python -c " >> import torch >> print('='*50) >> print(f'PyTorch 版本: {torch.__version__}') >> print(f'CUDA 可用: {torch.cuda.is_available()}') >> if torch.cuda.is_available(): >> print(f'CUDA 版本: {torch.version.cuda}') >> print(f'cuDNN 版本: {torch.backends.cudnn.version()}') >> print(f'GPU 名称: {torch.cuda.get_device_name(0)}') >> >> print('='*20 + ' 性能测试 ' + '='*20) >> x = torch.randn(10000, 10000).cuda() >> y = torch.randn(10000, 10000).cuda() >> z = x @ y >> print(f'矩阵乘法完成: {z.size()}') >> >> print('='*20 + ' 配置信息 ' + '='*20) >> print(torch.__config__.show()) >> print('='*50) >> " Traceback (most recent call last): File "<string>", line 2, in <module> ModuleNotFoundError: No module named 'torch' (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> # 保存为 E:\PyTorch_Build\Dockerfile (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> FROM nvidia/cuda:13.0-devel-ubuntu22.04 ParserError: Line | 1 | FROM nvidia/cuda:13.0-devel-ubuntu22.04 | ~~~~ | The 'from' keyword is not supported in this version of the language. (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> RUN apt-get update && \ RUN: The term 'RUN' is not recognized as a name of a cmdlet, function, script file, or executable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again. (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> apt-get install -y git ninja-build python3-pip && \ apt-get: The term 'apt-get' is not recognized as a name of a cmdlet, function, script file, or executable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again. (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> pip3 install cmake Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Collecting cmake Using cached https://pypi.tuna.tsinghua.edu.cn/packages/7c/d0/73cae88d8c25973f2465d5a4457264f95617c16ad321824ed4c243734511/cmake-4.1.0-py3-none-win_amd64.whl (37.6 MB) Installing collected packages: cmake Successfully installed cmake-4.1.0 (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> RUN git clone https://github.com/pytorch/pytorch RUN: The term 'RUN' is not recognized as a name of a cmdlet, function, script file, or executable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again. (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> WORKDIR pytorch WORKDIR: The term 'WORKDIR' is not recognized as a name of a cmdlet, function, script file, or executable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again. (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> RUN git submodule update --init --recursive && \ RUN: The term 'RUN' is not recognized as a name of a cmdlet, function, script file, or executable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again. (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> python3 setup.py install (pytorch_env) PS E:\PyTorch_Build\pytorch\builder> cd E:\PyTorch_Build (pytorch_env) PS E:\PyTorch_Build> docker build -t pytorch-custom . docker: The term 'docker' is not recognized as a name of a cmdlet, function, script file, or executable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again. (pytorch_env) PS E:\PyTorch_Build> # 创建新环境 (pytorch_env) PS E:\PyTorch_Build> conda create -n pytorch-env python=3.10 3 channel Terms of Service accepted Channels: - defaults - conda-forge - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main Platform: win-64 Collecting package metadata (repodata.json): done Solving environment: done ## Package Plan ## environment location: C:\Miniconda3\envs\pytorch-env added / updated specs: - python=3.10 The following packages will be downloaded: package | build ---------------------------|----------------- pip-25.2 | pyhc872135_0 1.2 MB defaults python-3.10.18 | h981015d_0 16.2 MB defaults done # # To activate this environment, use # # $ conda activate pytorch-env # # To deactivate an active environment, use # # $ conda deactivate (pytorch_env) PS E:\PyTorch_Build> conda activate pytorch-env (pytorch_env) PS E:\PyTorch_Build> (pytorch_env) PS E:\PyTorch_Build> # 安装官方 PyTorch 包 (pytorch_env) PS E:\PyTorch_Build> conda install -c pytorch -c nvidia -y pytorch torchvision torchaudio pytorch-cuda=12.1 3 channel Terms of Service accepted Channels: - pytorch - nvidia - defaults - conda-forge - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main Platform: win-64 Collecting package metadata (repodata.json): done Solving environment:

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