Collecting kafka-python==2.0.2 Downloading kafka_python-2.0.2-py2.py3-none-any.whl (246 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 246.5/246.5 kB 24.4 kB/s eta 0:00:00 Installing collected packages: kafka-python Successfully installed kafka-python-2.0.2 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [notice] A new release of pip is available: 23.0.1 -> 25.0.1 [notice] To update, run: pip install --upgrade pip Traceback (most recent call last): File "/app/kafka_flink_test.py", line 1, in <module> import requests ModuleNotFoundError: No module named 'requests'

时间: 2025-06-22 09:20:06 浏览: 0
<think>好的,我现在需要分析用户提供的日志内容,并给出相应的解答。首先,用户展示的日志中包含了安装kafka-python库的过程、一些警告信息,以及一个导入requests模块时出现的错误。我要逐步分析这些内容,并确保回答结构清晰,符合用户的要求。 首先,用户的问题是关于日志中的错误和注意事项。我需要先分解日志中的各个部分,逐一解释它们的含义和可能的影响。接下来,我要确保使用正确的中文表达,并且按照用户提供的系统级指令,正确使用LaTeX格式标记行内公式和独立公式。此外,用户希望回答结构清晰,分步骤解决问题,所以需要将分析分成不同的部分,每个部分下有明确的要点。 在分析安装过程时,需要指出成功安装了kafka-python 2.0.2,但同时存在使用root权限安装的警告。这时候应该建议用户使用虚拟环境,并给出相应的命令。此外,pip版本过旧的提醒也需要提到,并给出升级命令。 接下来是跟踪到的错误信息:ModuleNotFoundError: No module named 'requests'。这说明用户代码中尝试导入requests库,但该库未被安装。需要解释这个错误的原因,并提供解决方案,即安装requests库,并建议将其加入项目的依赖文件中,如requirements.txt。 另外,用户之前的日志中涉及的时间戳异常(2025年)在本次提问的日志中没有出现,所以可能不需要处理这部分,但需要保持关注,如果用户后续提到相关问题再展开。 需要注意的是,用户可能在运行Python脚本时同时遇到了多个问题,所以需要逐一解决。首先解决模块缺失的问题,再处理权限和虚拟环境的问题,最后建议更新pip版本。 最后,要确保回答符合用户的要求,使用中文,结构清晰,使用适当的LaTeX格式,并且覆盖所有日志中的关键点,如安装成功、权限警告、pip版本更新提醒、以及导入错误的原因和解决方法。</think>### 逐步分析日志中的核心问题及解决方案: --- #### **一、安装过程分析** 1. **成功安装提示** $$kafka-python==2.0.2$$ 已通过 `pip` 安装成功 - **文件大小**:246.5 KB,下载速度 24.4 kB/s - **安装位置**:系统全局环境(非虚拟环境) 2. **权限警告(关键风险)** ```WARNING: Running pip as the 'root' user...``` **问题**:使用 `root` 用户安装可能导致依赖冲突或文件权限混乱。 **解决方案**: ```bash # 创建并激活虚拟环境 python -m venv myenv # 创建虚拟环境 source myenv/bin/activate # 激活(Linux/macOS) ``` 3. **pip 版本更新提醒** - 当前版本:23.0.1 → 最新版本:25.0.1 **升级命令**: ```bash pip install --upgrade pip ``` --- #### **二、核心错误分析** **关键报错**: ```python Traceback (most recent call last): File "/app/kafka_flink_test.py", line 1, in <module> import requests ModuleNotFoundError: No module named 'requests' ``` 1. **错误类型**: - **模块缺失**:代码依赖 `requests` 库,但环境中未安装。 2. **直接原因**: - 脚本 `kafka_flink_test.py` 的第 1 行尝试导入 `requests`,但该库未通过 `pip` 安装。 3. **解决方案**: **步骤 1**:安装 `requests` 库 ```bash pip install requests ``` **步骤 2**(推荐):将依赖写入 `requirements.txt` ```text # requirements.txt kafka-python==2.0.2 requests==2.31.0 # 指定版本号 ``` **步骤 3**:通过文件批量安装 ```bash pip install -r requirements.txt ``` --- #### **三、关联性问题排查建议** 1. **依赖管理问题** - **现象**:安装了 `kafka-python`,但漏装 `requests`。 - **预防措施**: - 使用 `pip freeze > requirements.txt` 导出完整依赖列表。 - 部署时通过 `pip install -r requirements.txt` 确保一致性。 2. **虚拟环境必要性** - **优势**:隔离项目依赖,避免全局污染。 - **验证命令**: ```bash which pip # 检查当前 pip 是否在虚拟环境路径下 ``` --- #### **四、操作流程总结** 1. **修复当前错误**: ```bash # 安装缺失库 pip install requests # 验证脚本运行 python /app/kafka_flink_test.py ``` 2. **长期优化**: - 使用虚拟环境 - 维护 `requirements.txt` - 定期更新 `pip` 和依赖版本 --- ### **最终结论** 问题根源是 `requests` 库未安装,需通过 `pip install requests` 解决。同时建议使用虚拟环境和依赖管理文件,避免类似问题。
阅读全文

相关推荐

(tensorflow) C:\Users\tianxuanji>pip install tensorflow Collecting tensorflow Downloading tensorflow-2.18.0-cp311-cp311-win_amd64.whl.metadata (3.3 kB) Collecting tensorflow-intel==2.18.0 (from tensorflow) Downloading tensorflow_intel-2.18.0-cp311-cp311-win_amd64.whl.metadata (4.9 kB) Collecting absl-py>=1.0.0 (from tensorflow-intel==2.18.0->tensorflow) Downloading absl_py-2.1.0-py3-none-any.whl.metadata (2.3 kB) Collecting astunparse>=1.6.0 (from tensorflow-intel==2.18.0->tensorflow) Downloading astunparse-1.6.3-py2.py3-none-any.whl.metadata (4.4 kB) Collecting flatbuffers>=24.3.25 (from tensorflow-intel==2.18.0->tensorflow) Downloading flatbuffers-25.2.10-py2.py3-none-any.whl.metadata (875 bytes) Collecting gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1 (from tensorflow-intel==2.18.0->tensorflow) Downloading gast-0.6.0-py3-none-any.whl.metadata (1.3 kB) Collecting google-pasta>=0.1.1 (from tensorflow-intel==2.18.0->tensorflow) Downloading google_pasta-0.2.0-py3-none-any.whl.metadata (814 bytes) Collecting libclang>=13.0.0 (from tensorflow-intel==2.18.0->tensorflow) Downloading libclang-18.1.1-py2.py3-none-win_amd64.whl.metadata (5.3 kB) Collecting opt-einsum>=2.3.2 (from tensorflow-intel==2.18.0->tensorflow) Downloading opt_einsum-3.4.0-py3-none-any.whl.metadata (6.3 kB) Collecting packaging (from tensorflow-intel==2.18.0->tensorflow) Using cached packaging-24.2-py3-none-any.whl.metadata (3.2 kB) Collecting protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<6.0.0dev,>=3.20.3 (from tensorflow-intel==2.18.0->tensorflow) Downloading protobuf-5.29.3-cp310-abi3-win_amd64.whl.metadata (592 bytes) Collecting requests<3,>=2.21.0 (from tensorflow-intel==2.18.0->tensorflow) Using cached requests-2.32.3-py3-none-any.whl.metadata (4.6 kB) Requirement already satisfied: setuptools in d:\anaconda3\envs\tensorflow\lib\site-packages (from tensorflow-intel==2.18.0->tensorflow) (75.8.0) Collecting six>=1.12.0 (from tensorflow-intel==2.18.0->tensorflow) D

(tf_gpu) C:\Users\tianxuanji>conda install cudatoolkit=11.2 cudnn=8.1 -c conda-forge -y Channels: - conda-forge - defaults - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free Platform: win-64 Collecting package metadata (repodata.json): done Solving environment: done ## Package Plan ## environment location: D:\Anaconda3\envs\tf_gpu added / updated specs: - cudatoolkit=11.2 - cudnn=8.1 The following packages will be downloaded: package | build ---------------------------|----------------- "By downloading and using the cuDNN conda packages, you accept the terms and conditions of the NVIDIA cuDNN EULA - http done (tf_gpu) C:\Users\tianxuanji>pip install tensorflow==2.10.0 --no-cache-dir Collecting tensorflow==2.10.0 Downloading tensorflow-2.10.0-cp39-cp39-win_amd64.whl.metadata (3.1 kB) Collecting absl-py>=1.0.0 (from tensorflow==2.10.0) Downloading absl_py-2.1.0-py3-none-any.whl.metadata (2.3 kB) Collecting astunparse>=1.6.0 (from tensorflow==2.10.0) Downloading astunparse-1.6.3-py2.py3-none-any.whl.metadata (4.4 kB) Collecting flatbuffers>=2.0 (from tensorflow==2.10.0) Downloading flatbuffers-25.2.10-py2.py3-none-any.whl.metadata (875 bytes) Collecting gast<=0.4.0,>=0.2.1 (from tensorflow==2.10.0) Downloading gast-0.4.0-py3-none-any.whl.metadata (1.1 kB) Collecting google-pasta>=0.1.1 (from tensorflow==2.10.0) Downloading google_pasta-0.2.0-py3-none-any.whl.metadata (814 bytes) Collecting h5py>=2.9.0 (from tensorflow==2.10.0) Downloading h5py-3.13.0-cp39-cp39-win_amd64.whl.metadata (2.5 kB) Collecting keras-preprocessing>=1.1.1 (from tensorflow==2.10.0) Downloading Keras_Preprocessing-1.1.2-py2.py3-none-any.whl.metadata (1.9 kB) Collecting libclang>=13.0.0 (from tensorflow==2.10.0) Downloading libclang-18.1.1-py2.py3-none-win_amd64.whl.metadata (5.3 kB) INFO

Collecting tensorboard Using cached tensorboard-2.14.0-py3-none-any.whl.metadata (1.8 kB) Collecting absl-py>=0.4 (from tensorboard) Using cached absl_py-2.1.0-py3-none-any.whl.metadata (2.3 kB) Collecting grpcio>=1.48.2 (from tensorboard) Using cached grpcio-1.70.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.9 kB) Collecting google-auth<3,>=1.6.3 (from tensorboard) Using cached google_auth-2.38.0-py2.py3-none-any.whl.metadata (4.8 kB) Collecting google-auth-oauthlib<1.1,>=0.5 (from tensorboard) Using cached google_auth_oauthlib-1.0.0-py2.py3-none-any.whl.metadata (2.7 kB) Collecting markdown>=2.6.8 (from tensorboard) Using cached Markdown-3.7-py3-none-any.whl.metadata (7.0 kB) Requirement already satisfied: numpy>=1.12.0 in /home/hc202/miniconda3/envs/rl-g1/lib/python3.8/site-packages (from tensorboard) (1.23.5) Collecting protobuf>=3.19.6 (from tensorboard) Using cached protobuf-5.29.3-cp38-abi3-manylinux2014_x86_64.whl.metadata (592 bytes) Collecting requests<3,>=2.21.0 (from tensorboard) Using cached requests-2.32.3-py3-none-any.whl.metadata (4.6 kB) Requirement already satisfied: setuptools>=41.0.0 in /home/hc202/miniconda3/envs/rl-g1/lib/python3.8/site-packages (from tensorboard) (75.1.0) Collecting tensorboard-data-server<0.8.0,>=0.7.0 (from tensorboard) Using cached tensorboard_data_server-0.7.2-py3-none-manylinux_2_31_x86_64.whl.metadata (1.1 kB) Collecting werkzeug>=1.0.1 (from tensorboard) Using cached werkzeug-3.0.6-py3-none-any.whl.metadata (3.7 kB) Requirement already satisfied: wheel>=0.26 in /home/hc202/miniconda3/envs/rl-g1/lib/python3.8/site-packages (from tensorboard) (0.44.0) Collecting cachetools<6.0,>=2.0.0 (from google-auth<3,>=1.6.3->tensorboard) Using cached cachetools-5.5.2-py3-none-any.whl.metadata (5.4 kB) Collecting pyasn1-modules>=0.2.1 (from google-auth<3,>=1.6.3->tensorboard) Using cached pyasn1_modules-0.4.1-py3-none-any.whl.metadata (3.5 kB) Collecting rsa<5,>=3.1.4 (from google-auth<

(ostrack_win) D:\anaconda\OSTrack-main>conda env create -f ostrack_cuda113_env.yaml Collecting package metadata (repodata.json): done Solving environment: failed ResolvePackageNotFound: - gmp==6.2.1=h58526e2_0 - ca-certificates==2022.3.29=h06a4308_0 - cudatoolkit==11.3.1=h2bc3f7f_2 - certifi==2021.10.8=py38h578d9bd_2 - sqlite==3.38.2=hc218d9a_0 - torchvision==0.11.0=py38_cu113 - python_abi==3.8=2_cp38 - freetype==2.10.4=h0708190_1 - openssl==1.1.1n=h7f8727e_0 - nettle==3.6=he412f7d_0 - pip==21.2.4=py38h06a4308_0 - pillow==6.2.1=py38h6b7be26_0 - libiconv==1.16=h516909a_0 - openh264==2.1.1=h780b84a_0 - libgcc-ng==9.3.0=h5101ec6_17 - _openmp_mutex==4.5=1_gnu - mkl-service==2.4.0=py38h497a2fe_0 - zlib==1.2.11=h7f8727e_4 - ncurses==6.3=h7f8727e_2 - readline==8.1.2=h7f8727e_1 - intel-openmp==2021.4.0=h06a4308_3561 - mkl_random==1.2.2=py38h1abd341_0 - tk==8.6.11=h1ccaba5_0 - numpy==1.21.2=py38h20f2e39_0 - numpy-base==1.21.2=py38h79a1101_0 - gnutls==3.6.13=h85f3911_1 - typing_extensions==4.1.1=pyha770c72_0 - python==3.8.13=h12debd9_0 - libuv==1.40.0=h7b6447c_0 - lz4-c==1.9.3=h9c3ff4c_1 - libgomp==9.3.0=h5101ec6_17 - torchaudio==0.10.0=py38_cu113 - libpng==1.6.37=h21135ba_2 - mkl==2021.4.0=h06a4308_640 - setuptools==58.0.4=py38h06a4308_0 - xz==5.2.5=h7b6447c_0 - libtiff==4.0.10=hc3755c2_1005 - ffmpeg==4.3=hf484d3e_0 - bzip2==1.0.8=h7f98852_4 - jpeg==9d=h7f8727e_0 - olefile==0.46=pyh9f0ad1d_1 - six==1.16.0=pyh6c4a22f_0 - pytorch-mutex==1.0=cuda - libstdcxx-ng==9.3.0=hd4cf53a_17 - zstd==1.4.9=ha95c52a_0 - lame==3.100=h7f98852_1001 - pytorch==1.10.0=py3.8_cuda11.3_cudnn8.2.0_0 - libffi==3.3=he6710b0_2 - mkl_fft==1.3.1=py38hd3c417c_0

(pytorch) C:\Users\刘君瑶>pip install torchvision-0.18.0+cu118-cp38-cp38-win_amd64.whl Processing c:\users\刘君瑶\torchvision-0.18.0+cu118-cp38-cp38-win_amd64.whl Collecting numpy (from torchvision==0.18.0+cu118) Downloading numpy-1.24.4-cp38-cp38-win_amd64.whl.metadata (5.6 kB) INFO: pip is looking at multiple versions of torchvision to determine which version is compatible with other requirements. This could take a while. ERROR: Ignored the following versions that require a different python version: 1.25.0 Requires-Python >=3.9; 1.25.1 Requires-Python >=3.9; 1.25.2 Requires-Python >=3.9; 1.26.0 Requires-Python <3.13,>=3.9; 1.26.1 Requires-Python <3.13,>=3.9; 1.26.2 Requires-Python >=3.9; 1.26.3 Requires-Python >=3.9; 1.26.4 Requires-Python >=3.9; 2.0.0 Requires-Python >=3.9; 2.0.1 Requires-Python >=3.9; 2.0.2 Requires-Python >=3.9; 2.1.0 Requires-Python >=3.10; 2.1.0rc1 Requires-Python >=3.10; 2.1.1 Requires-Python >=3.10; 2.1.2 Requires-Python >=3.10; 2.1.3 Requires-Python >=3.10; 2.2.0 Requires-Python >=3.10; 2.2.0rc1 Requires-Python >=3.10; 2.2.1 Requires-Python >=3.10; 2.2.2 Requires-Python >=3.10; 2.2.3 Requires-Python >=3.10 ERROR: Could not find a version that satisfies the requirement torch==2.3.0+cu118 (from torchvision) (from versions: 1.7.1, 1.8.0, 1.8.1, 1.9.0, 1.9.1, 1.10.0, 1.10.1, 1.10.2, 1.11.0, 1.12.0, 1.12.1, 1.13.0, 1.13.1, 2.0.0, 2.0.1, 2.1.0, 2.1.1, 2.1.2, 2.2.0, 2.2.1, 2.2.2, 2.3.0, 2.3.1, 2.4.0, 2.4.1) ERROR: No matching distribution found for torch==2.3.0+cu118

(xinference) PS C:\Windows\system32> pip install llama-cpp-python Collecting llama-cpp-python Using cached llama_cpp_python-0.3.7.tar.gz (66.7 MB) Installing build dependencies ... done Getting requirements to build wheel ... done Installing backend dependencies ... done Preparing metadata (pyproject.toml) ... done Collecting typing-extensions>=4.5.0 (from llama-cpp-python) Using cached typing_extensions-4.12.2-py3-none-any.whl.metadata (3.0 kB) Collecting numpy>=1.20.0 (from llama-cpp-python) Using cached numpy-2.2.3-cp311-cp311-win_amd64.whl.metadata (60 kB) Collecting diskcache>=5.6.1 (from llama-cpp-python) Using cached diskcache-5.6.3-py3-none-any.whl.metadata (20 kB) Collecting jinja2>=2.11.3 (from llama-cpp-python) Using cached jinja2-3.1.5-py3-none-any.whl.metadata (2.6 kB) Collecting MarkupSafe>=2.0 (from jinja2>=2.11.3->llama-cpp-python) Using cached MarkupSafe-3.0.2-cp311-cp311-win_amd64.whl.metadata (4.1 kB) Using cached diskcache-5.6.3-py3-none-any.whl (45 kB) Using cached jinja2-3.1.5-py3-none-any.whl (134 kB) Using cached numpy-2.2.3-cp311-cp311-win_amd64.whl (12.9 MB) Using cached typing_extensions-4.12.2-py3-none-any.whl (37 kB) Using cached MarkupSafe-3.0.2-cp311-cp311-win_amd64.whl (15 kB) Building wheels for collected packages: llama-cpp-python Building wheel for llama-cpp-python (pyproject.toml) ... error error: subprocess-exited-with-error × Building wheel for llama-cpp-python (pyproject.toml) did not run successfully. │ exit code: 1 ╰─> [306 lines of output] *** scikit-build-core 0.11.0 using CMake 3.31.6 (wheel) *** Configuring CMake... 2025-03-04 00:24:37,103 - scikit_build_core - WARNING - Can't find a Python library, got libdir=None, ldlibrary=None, multiarch=None, masd=None loading initial cache file C:\Users\admin\AppData\Local\Temp\tmphkbm01o4\build\CMakeInit.txt -- Building for: Visual Studio 17 2022 -- Selecting Windows SDK version 10.0.22621.0 to target Windows 10.0.1

(base) C:\Users\10480\Desktop\MulActSeg-master>conda env create -f actsegmul.yml Collecting package metadata (repodata.json): done Solving environment: failed ResolvePackageNotFound: - libgfortran4==7.5.0=ha8ba4b0_17 - python==3.8.13=h12debd9_0 - pyyaml==6.0=py38h7f8727e_1 - tornado==6.2=py38h5eee18b_0 - libsodium==1.0.18=h7b6447c_0 - bottleneck==1.3.5=py38h7deecbd_0 - pytorch==1.11.0=py3.8_cuda11.3_cudnn8.2.0_0 - pip==22.1.2=py38h06a4308_0 - zeromq==4.3.4=h2531618_0 - zstd==1.5.2=ha4553b6_0 - numpy-base==1.22.3=py38hf524024_0 - sqlite==3.38.5=hc218d9a_0 - _openmp_mutex==5.1=1_gnu - gmp==6.2.1=h295c915_3 - scikit-image==0.19.2=py38h51133e4_0 - libgomp==11.2.0=h1234567_1 - ca-certificates==2022.07.19=h06a4308_0 - cffi==1.15.0=py38hd667e15_1 - certifi==2022.9.14=py38h06a4308_0 - locket==1.0.0=py38h06a4308_0 - libwebp-base==1.2.2=h7f8727e_0 - pyzmq==23.2.0=py38h6a678d5_0 - libgcc-ng==11.2.0=h1234567_1 - lz4-c==1.9.3=h295c915_1 - cudatoolkit==11.3.1=h2bc3f7f_2 - nettle==3.7.3=hbbd107a_1 - mkl_random==1.2.2=py38h51133e4_0 - libunistring==0.9.10=h27cfd23_0 - readline==8.1.2=h7f8727e_1 - pillow==9.2.0=py38hace64e9_1 - fsspec==2022.3.0=py38h06a4308_0 - libtasn1==4.16.0=h27cfd23_0 - entrypoints==0.4=py38h06a4308_0 - matplotlib-inline==0.1.6=py38h06a4308_0 - ffmpeg==4.3=hf484d3e_0 - tqdm==4.64.0=py38h06a4308_0 - scipy==1.7.3=py38hc147768_0 - giflib==5.2.1=h7b6447c_0 - libpng==1.6.37=hbc83047_0 - jpeg==9e=h7f8727e_0 - libtiff==4.2.0=h2818925_1 - cytoolz==0.11.0=py38h7b6447c_0 - numpy==1.22.3=py38he7a7128_0 - networkx==2.8.4=py38h06a4308_0 - urllib3==1.26.9=py38h06a4308_0 - libuv==1.40.0=h7b6447c_0 - ncurses==6.3=h5eee18b_3 - jupyter_client==7.3.5=py38h06a4308_0 - ipython==8.4.0=py38h06a4308_0 - libgfortran-ng==7.5.0=ha8ba4b0_17 - scikit-learn==1.0.2=py38h51133e4_1 - setuptools==61.2.0=py38h06a4308_0 - jupyter_core==4.10.0=py38h06a4308_0 - libffi==3.3=he6710b0_2 - jedi==0.18.1=py38h06a4308_1 - tk==8.6.12=h1ccaba5_0 - pywavelets==1.3.0=py38h7f8727e_0 - ld_impl_linux-64==2.38=h1181459_1 - ipykernel==6.15.2=py38h06a4308_0 - brotlipy==0.7.0=py38h27cfd23_1003 - zlib==1.2.12=h7f8727e_2 - pysocks==1.7.1=py38h06a4308_0 - lcms2==2.12=h3be6417_0 - libwebp==1.2.2=h55f646e_0 - mkl-service==2.4.0=py38h7f8727e_0 - gnutls==3.6.15=he1e5248_0 - numexpr==2.8.3=py38h807cd23_0 - pandas==1.4.2=py38h295c915_0 - requests==2.28.1=py38h06a4308_0 - libiconv==1.16=h7f8727e_2 - libidn2==2.3.2=h7f8727e_0 - intel-openmp==2021.4.0=h06a4308_3561 - openh264==2.1.1=h4ff587b_0 - libstdcxx-ng==11.2.0=h1234567_1 - openssl==1.1.1q=h7f8727e_0 - dask-core==2022.5.0=py38h06a4308_0 - lame==3.100=h7b6447c_0 - yaml==0.2.5=h7b6447c_0 - debugpy==1.5.1=py38h295c915_0 - pytz==2022.1=py38h06a4308_0 - freetype==2.11.0=h70c0345_0 - mkl_fft==1.3.1=py38hd3c417c_0 - mkl==2021.4.0=h06a4308_640 - tifffile==2020.10.1=py38hdd07704_2 - nest-asyncio==1.5.5=py38h06a4308_0 - xz==5.2.5=h7f8727e_1 - cryptography==37.0.1=py38h9ce1e76_0 - bzip2==1.0.8=h7b6447c_0在运行yml文件中出错,如何解决错误并能正确的运行代码

(yolov8) PS D:\QYH\模型\YOLOv8源代码文件> pip install -r requirements.txt Collecting certifi==2022.12.7 (from -r requirements.txt (line 2)) Using cached certifi-2022.12.7-py3-none-any.whl.metadata (2.9 kB) Collecting charset-normalizer==2.1.1 (from -r requirements.txt (line 3)) Using cached charset_normalizer-2.1.1-py3-none-any.whl.metadata (11 kB) Requirement already satisfied: colorama==0.4.6 in c:\programdata\anaconda3\envs\yolov8\lib\site-packages (from -r requirements.txt (line 4)) (0.4.6) Requirement already satisfied: contourpy>=1.2.0 in c:\programdata\anaconda3\envs\yolov8\lib\site-packages (from -r requirements.txt (line 5)) (1.3.1) Collecting cycler==0.12.1 (from -r requirements.txt (line 6)) Using cached cycler-0.12.1-py3-none-any.whl.metadata (3.8 kB) Collecting filelock==3.9.0 (from -r requirements.txt (line 7)) Using cached filelock-3.9.0-py3-none-any.whl.metadata (2.3 kB) Collecting fonttools==4.50.0 (from -r requirements.txt (line 8)) Using cached fonttools-4.50.0-py3-none-any.whl.metadata (159 kB) Requirement already satisfied: fsspec==2024.6.1 in c:\programdata\anaconda3\envs\yolov8\lib\site-packages (from -r requirements.txt (line 9)) (2024.6.1) Collecting huggingface-hub==0.23.4 (from -r requirements.txt (line 10)) Using cached huggingface_hub-0.23.4-py3-none-any.whl.metadata (12 kB) Collecting idna==3.4 (from -r requirements.txt (line 11)) Using cached idna-3.4-py3-none-any.whl.metadata (9.8 kB) Collecting Jinja2==3.1.2 (from -r requirements.txt (line 12)) Using cached Jinja2-3.1.2-py3-none-any.whl.metadata (3.5 kB) Collecting kiwisolver==1.4.5 (from -r requirements.txt (line 13)) Using cached kiwisolver-1.4.5.tar.gz (97 kB) Installing build dependencies ... done Getting requirements to build wheel ... done Preparing metadata (pyproject.toml) ... done Requirement already satisfied: MarkupSafe==2.1.3 in c:\programdata\anaconda3\envs\yolov8\lib\site-packages (from -r requirements.txt (line 14)) (2.1.3) Collecting matplotlib==3.8.3

Collecting opencv-python==4.4.0.46 Downloading opencv-python-4.4.0.46.tar.gz (88.9 MB) --------------------------------------- 88.9/88.9 MB 10.2 MB/s eta 0:00:00 Installing build dependencies: started Installing build dependencies: finished with status 'error' error: subprocess-exited-with-error pip subprocess to install build dependencies did not run successfully. exit code: 2 [119 lines of output] Ignoring numpy: markers 'python_version == "3.6"' don't match your environment Ignoring numpy: markers 'python_version == "3.7"' don't match your environment Ignoring numpy: markers 'python_version == "3.8"' don't match your environment Collecting setuptools Using cached setuptools-76.0.0-py3-none-any.whl.metadata (6.7 kB) Collecting wheel Using cached wheel-0.45.1-py3-none-any.whl.metadata (2.3 kB) Collecting scikit-build Using cached scikit_build-0.18.1-py3-none-any.whl.metadata (18 kB) Collecting cmake Using cached cmake-3.31.6-py3-none-win_amd64.whl.metadata (6.3 kB) Collecting pip Using cached pip-25.0.1-py3-none-any.whl.metadata (3.7 kB) Collecting numpy==1.19.3 Downloading numpy-1.19.3.zip (7.3 MB) ---------------------------------------- 7.3/7.3 MB 5.0 MB/s eta 0:00:00 Installing build dependencies: started Installing build dependencies: finished with status 'done' Getting requirements to build wheel: started Getting requirements to build wheel: finished with status 'done' ERROR: Exception: Traceback (most recent call last): File "C:\Users\31979\AppData\Local\Programs\Python\Python312\Lib\site-packages\pip\_internal\cli\base_command.py", line 105, in _run_wrapper status = _inner_run() ^^^^^^^^^^^^ File "C:\Users\31979\AppData\Local\Programs\Python\Python312\Lib\site-packages\pip\_internal\cli\base_command.py", line 96, in _inner_run return self.run(options, args) ^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\31979\AppData\Loc

Requirement already satisfied: setuptools in /home/liyuxuan/.local/lib/python3.8/site-packages (75.3.2) Requirement already satisfied: pip in /home/liyuxuan/.local/lib/python3.8/site-packages (25.0.1) Collecting packaging Downloading packaging-24.2-py3-none-any.whl.metadata (3.2 kB) Downloading packaging-24.2-py3-none-any.whl (65 kB) WARNING: Error parsing dependencies of distro-info: Invalid version: '0.23ubuntu1' WARNING: Error parsing dependencies of python-debian: Invalid version: '0.1.36ubuntu1' Installing collected packages: packaging Successfully installed packaging-24.2 liyuxuan@l2957488710:~/ardupilot$ pip3 install --user -U future lxml pymavlink pyserial MAVProxy pexpect geocoder empy==3.3.4 ptyprocess dronecan flake8 junitparser pygame intelhex Collecting future Downloading future-1.0.0-py3-none-any.whl.metadata (4.0 kB) Requirement already satisfied: lxml in /usr/lib/python3/dist-packages (4.5.0) Collecting lxml Downloading lxml-5.3.1-cp38-cp38-manylinux_2_28_x86_64.whl.metadata (3.5 kB) Collecting pymavlink Downloading pymavlink-2.4.43-py3-none-any.whl.metadata (6.4 kB) Requirement already satisfied: pyserial in /usr/lib/python3/dist-packages (3.4) Collecting pyserial Downloading pyserial-3.5-py2.py3-none-any.whl.metadata (1.6 kB) Collecting MAVProxy Downloading MAVProxy-1.8.71-py3-none-any.whl.metadata (2.0 kB) Requirement already satisfied: pexpect in /usr/lib/python3/dist-packages (4.6.0) Collecting pexpect Downloading pexpect-4.9.0-py2.py3-none-any.whl.metadata (2.5 kB) Collecting geocoder Downloading geocoder-1.38.1-py2.py3-none-any.whl.metadata (14 kB) Collecting empy==3.3.4 Downloading empy-3.3.4.tar.gz (62 kB) Preparing metadata (setup.py) ... error error: subprocess-exited-with-error × python setup.py egg_info did not run successfully. │ exit code: 1 ╰─> [10 lines of output] Traceback (most recent call last): File "<string>", line 2, in <module> File "", line 14, in <module> File "/home/liyuxuan/.local/lib/python3.8/site-packages/setuptools/__init__.py", line 27, in <module> from .dist import Distribution File "/home/liyuxuan/.local/lib/python3.8/site-packages/setuptools/dist.py", line 30, in <module> from . import ( File "/home/liyuxuan/.local/lib/python3.8/site-packages/setuptools/_entry_points.py", line 45, in <module> def validate(eps: metadata.EntryPoints): AttributeError: module 'importlib_metadata' has no attribute 'EntryPoints' [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 p

pip install cyvcf2 Collecting cyvcf2 Using cached cyvcf2-0.31.1.tar.gz (1.3 MB) Installing build dependencies ... done Getting requirements to build wheel ... done Preparing metadata (pyproject.toml) ... done Collecting numpy>=1.16.0 (from cyvcf2) Using cached numpy-2.2.3-cp312-cp312-win_amd64.whl.metadata (60 kB) Collecting coloredlogs (from cyvcf2) Using cached coloredlogs-15.0.1-py2.py3-none-any.whl.metadata (12 kB) Collecting click (from cyvcf2) Using cached click-8.1.8-py3-none-any.whl.metadata (2.3 kB) Collecting colorama (from click->cyvcf2) Using cached colorama-0.4.6-py2.py3-none-any.whl.metadata (17 kB) Collecting humanfriendly>=9.1 (from coloredlogs->cyvcf2) Using cached humanfriendly-10.0-py2.py3-none-any.whl.metadata (9.2 kB) Collecting pyreadline3 (from humanfriendly>=9.1->coloredlogs->cyvcf2) Using cached pyreadline3-3.5.4-py3-none-any.whl.metadata (4.7 kB) Using cached numpy-2.2.3-cp312-cp312-win_amd64.whl (12.6 MB) Using cached click-8.1.8-py3-none-any.whl (98 kB) Using cached coloredlogs-15.0.1-py2.py3-none-any.whl (46 kB) Using cached humanfriendly-10.0-py2.py3-none-any.whl (86 kB) Using cached colorama-0.4.6-py2.py3-none-any.whl (25 kB) Using cached pyreadline3-3.5.4-py3-none-any.whl (83 kB) Building wheels for collected packages: cyvcf2 Building wheel for cyvcf2 (pyproject.toml) ... error error: subprocess-exited-with-error × Building wheel for cyvcf2 (pyproject.toml) did not run successfully. │ exit code: 1 ╰─> [84 lines of output] running bdist_wheel running build running build_py creating build\lib.win-amd64-cpython-312\cyvcf2 copying cyvcf2\cli.py -> build\lib.win-amd64-cpython-312\cyvcf2 copying cyvcf2\__init__.py -> build\lib.win-amd64-cpython-312\cyvcf2 copying cyvcf2\__main__.py -> build\lib.win-amd64-cpython-312\cyvcf2 running egg_info writing cyvcf2.egg-info\PKG-INFO writing dependency_links to cyvcf2.egg-info\dependency_links.txt writing e

最新推荐

recommend-type

本科毕业设计论文--操作系统课程设计报告进程调度算法模拟(1).doc

本科毕业设计论文--操作系统课程设计报告进程调度算法模拟(1).doc
recommend-type

单片机实验开发板程序编写指南

单片机实验程序的知识点可以从单片机的概念、开发板的作用、实验的目的以及具体程序编写与调试方面进行详细阐述。 首先,单片机(Single-Chip Microcomputer),又称微控制器,是将中央处理单元(CPU)、随机存取存储器(RAM)、只读存储器(ROM)、输入输出接口等主要计算机功能部件集成在一片芯片上的微小型计算机。它具备独立处理特定任务的能力,广泛应用于嵌入式系统中。单片机由于其成本低廉、体积小、功耗低、控制简单等特点,被广泛应用于家用电器、办公自动化、汽车电子、工业控制等众多领域。 接着,开发板(Development Board)是为了方便开发者使用单片机而设计的一种实验平台,通常集成了单片机、电源管理模块、外围接口电路、调试接口、编程接口等。开发板的主要作用是提供一个简洁的硬件环境,让开发者可以更容易地进行实验、测试和程序开发。在使用开发板进行单片机实验时,可以通过编程器将用户编写的程序烧录到单片机中,然后进行实际操作和测试。 实验的目的通常是为了验证某些特定的功能或者算法。在实验中,开发者可以使用单片机开发板来实现对输入信号的检测、处理和输出控制。例如,可以编写程序使单片机控制LED灯的亮灭,或者读取按键输入并根据按键的不同进行不同的控制。实验程序可以是一个简单的循环处理,也可以是复杂的算法实现,如数据通信、中断处理、定时器使用等。 在编写单片机实验程序时,首先需要了解所使用的单片机的指令集和硬件资源。以常用的8051单片机为例,需要熟悉其寄存器配置、特殊功能寄存器(SFR)的使用以及I/O口操作等。编写程序时,通常会使用C语言或者汇编语言。C语言因其可读性好、编写效率高而更受欢迎。开发者可以使用Keil uVision、IAR Embedded Workbench等集成开发环境(IDE)来编写、编译和调试代码。 在程序调试阶段,可以通过开发板上的调试接口,如JTAG、ISP等,将编译好的程序下载到单片机中。调试过程通常包括设置断点、单步执行、查看寄存器和内存内容等操作。通过调试可以发现并修正程序中的逻辑错误或硬件交互问题。 另外,为了保证程序的可靠性和稳定性,实验程序设计时还应考虑异常处理、资源管理以及功耗优化等因素。编写高效的单片机程序不仅仅是让程序按预期运行,还要考虑到程序运行的效率、资源消耗以及对异常情况的应对。 总之,基于开发板的单片机实验程序开发涉及到硬件理解、软件编程、程序调试等多个环节。开发者需要将理论知识与实际操作相结合,通过不断的学习和实践,掌握单片机编程和应用开发的关键技能。这不仅需要对单片机的基础知识有深入的了解,还需要对开发板的功能和特性有充分的认识,从而能够设计出高效、稳定和实用的单片机应用系统。
recommend-type

【性能测试基准】:为RK3588选择合适的NVMe性能测试工具指南

# 1. NVMe性能测试基础 ## 1.1 NVMe协议简介 NVMe,全称为Non-Volatile Memory Express,是专为固态驱动器设计的逻辑设备接口规范。与传统的SATA接口相比,NVMe通过使用PCI Express(PCIe)总线,大大提高了存储设备的数据吞吐量和IOPS(每秒输入输出操作次数),特别适合于高速的固态存储设备。
recommend-type

ubuntu 检查下载源

<think>我们正在讨论Ubuntu系统中检查和配置下载源(软件源)的方法。用户的需求很明确:如何检查当前配置的下载源,以及如何修改它们。根据引用[1]和[2]中的信息,我们知道在Ubuntu中,软件源配置存储在`/etc/apt/sources.list`文件中以及`/etc/apt/sources.list.d/`目录下的额外文件中。修改源通常包括备份当前配置、编辑源列表文件、更新软件包列表等步骤。步骤分解:1.检查当前下载源:可以通过查看`sources.list`文件和`sources.list.d/`目录中的文件内容来实现。2.修改下载源:包括备份、编辑源列表(替换为新的镜像源地址
recommend-type

办公软件:下载使用指南与资源包

标题中提到的“offices办公软件”,指的是Office套件,这是一系列办公应用程序的集合,通常包括文字处理软件(如Microsoft Word)、电子表格软件(如Microsoft Excel)、演示文稿制作软件(如Microsoft PowerPoint),以及邮件管理软件等。该软件包旨在帮助用户提高工作效率,完成文档撰写、数据分析、演示制作等多种办公任务。 描述部分非常简单,提到“一个很好公办软件你一定很爱他快来下载吧加强团结”,表达了对软件的高度评价和期待用户下载使用,以促进工作中的团结协作。不过,这段描述中可能存在错别字或排版问题,正确的表达可能是“一款非常好的办公软件,你一定很爱它,快来下载吧,加强团结”。 标签部分为“dddd”,这显然不是一个有效的描述或分类标签,它可能是由于输入错误或者故意设置的占位符。 压缩包子文件的文件名称列表中包含了以下文件: - keygen.exe:这是一个序列号生成器的可执行文件,通常用于生成软件的注册码或激活码,使得用户能够在不支付授权费用的情况下使用某些付费软件。然而,这通常是违反软件许可协议的行为,也可能涉及到法律风险。 - 说明_Readme.html:这是一个HTML格式的说明文件,通常会包含该软件的安装指南、使用方法、版本信息、已知问题、版权声明和致谢等内容。阅读这个文件可以帮助用户正确安装和使用软件。 - OfficeSuite 4_50.sis:这是一个适用于Symbian操作系统的安装包文件,SIS是Symbian Install File的缩写。从文件名可以看出,这是一个名为“OfficeSuite”的软件的第50个版本,版本号为4.0。Symbian曾是智能手机操作系统之一,通常用于诺基亚等品牌的设备上,但随着智能手机市场的变化,现在已很少见,市场上主流的智能手机操作系统已转向Android和iOS。 - resource:这个名称很模糊,没有文件扩展名,因此无法确定具体是什么类型的资源。它可能是一个包含字体、图像或其他资源文件的文件夹,这些资源文件用于支持Office套件在不同设备或操作系统上的运行。 在使用这些文件时,特别是涉及到keygen.exe这类软件时,用户应谨慎行事。应避免使用未经授权的软件,不仅因为其可能违反法律,还可能对计算机系统造成安全风险。在下载和安装任何软件时,应确保来源的可靠性,并从官方渠道获取正版授权。此外,对于已经过时或不再受支持的软件,比如针对Symbian系统的OfficeSuite,用户可能需要寻找其他替代方案来满足当前的办公需求。
recommend-type

【固态硬盘寿命延长】:RK3588平台NVMe维护技巧大公开

# 1. 固态硬盘寿命延长的基础知识 ## 1.1 固态硬盘的基本概念 固态硬盘(SSD)是现代计算设备中不可或缺的存储设备之一。与传统的机械硬盘(HDD)相比,SSD拥有更快的读写速度、更小的体积和更低的功耗。但是,SSD也有其生命周期限制,主要受限于NAND闪存的写入次数。 ## 1.2 SSD的写入次数和寿命 每块SSD中的NAND闪存单元都有有限的写入次数。这意味着,随着时间的推移,SSD的
recommend-type

DSNPx是什么

<think>我们正在处理一个关于保险精算领域的问题,具体是定期寿险净保费计算。用户询问的是"DSNPx"的定义或含义,特别是在计算机领域的含义。根据提供的代码和上下文,我们可以分析如下:1.在代码中,变量名`NPxM`和`NPxF`分别代表男性(M)和女性(F)的净保费(NetPremium)。而前缀"DS"可能是"定期寿险"(DingQiShouXian)的缩写,因为函数名为`DingQi`,代表定期寿险。2.因此,`DSNPxM`和`DSNPxF`分别表示定期寿险(DS)的净保费(NP)对于男性(x年龄,M)和女性(x年龄,F)。3.在精算学中,净保费是指不考虑费用和利润的纯风险保费,根
recommend-type

MW6208E量产工具固件升级包介绍

标题中“MW6208E_8208.rar”表示一个压缩文件的名称,其中“rar”是一种文件压缩格式。标题表明,压缩包内含的文件是关于MW6208E和8208的量产工具。描述中提到“量产固件”,说明这是一个与固件相关的工作工具。 “量产工具”指的是用于批量生产和复制固件的软件程序,通常用于移动设备、存储设备或半导体芯片的批量生产过程中。固件(Firmware)是嵌入硬件设备中的一种软件形式,它为硬件设备提供基础操作与控制的代码。在量产阶段,固件是必须被植入设备中以确保设备能正常工作的关键组成部分。 MW6208E可能是某个产品型号或器件的型号标识,而8208可能表示该量产工具与其硬件的兼容型号或版本。量产工具通常提供给制造商或维修专业人士使用,使得他们能够快速、高效地将固件程序烧录到多个设备中。 文件名称列表中的“MW6208E_8200量产工具_1.0.5.0_20081201”说明了具体的文件内容和版本信息。具体地,文件名中包含以下知识点: 1. 文件名称中的“量产工具”代表了该软件的用途,即它是一个用于大规模复制固件到特定型号设备上的工具。 2. 版本号“1.0.5.0”标识了软件的当前版本。版本号通常由四个部分组成:主版本号、次版本号、修订号和编译号,这些数字提供了软件更新迭代的信息,便于用户和开发者追踪软件的更新历史和维护状态。 3. “20081201”很可能是该工具发布的日期,表明这是2008年12月1日发布的版本。了解发布日期对于选择合适版本的工具至关重要,因为不同日期的版本可能针对不同的硬件或固件版本进行了优化。 在IT行业中,固件量产工具的使用需要一定的专业知识,包括对目标硬件的了解、固件的管理以及软件工具的操作。在进行量产操作时,还需注意数据备份、设备兼容性、固件版本控制、升级过程中的稳定性与安全性等因素。 综上所述,提供的文件信息描述了一个特定于MW6208E和8208型号的固件量产工具。该工具是用于设备生产过程中批量烧录固件的重要软件资源,具有版本标识和发布日期,能够帮助专业人士快速有效地进行固件更新或初始化生产过程。对于从事该领域工作的技术人员或生产制造商而言,了解和掌握量产工具的使用是必要的技能之一。
recommend-type

【故障恢复策略】:RK3588与NVMe固态硬盘的容灾方案指南

# 1. RK3588处理器与NVMe固态硬盘的概述 ## 1.1 RK3588处理器简介 RK3588是Rockchip推出的一款高端处理器,具备强大的性能和多样的功能,集成了八核CPU和六核GPU,以及专用的AI处理单元,主要用于高端移动设备、边缘计算和
recommend-type

<dependency> <groupId>com.google.code.ksoap2</groupId> <artifactId>ksoap2-j2se-core</artifactId> <version>3.6.2</version> </dependency> <repositories> <repository> <id>central</id> <name>Maven Central</name> <url>https://repo.maven.apache.org/maven2</url> </repository> <repository> <id>aliyun</id> <name>Aliyun Maven</name> <url>https://maven.aliyun.com/repository/public</url> </repository> </repositories> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-compiler-plugin</artifactId> <version>3.11.0</version> <!-- 添加版本号 --> <!-- 原有配置保持不变 --> </plugin> 把上面的代码整合进下面的代码中 <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>jdwlw</groupId> <artifactId>jdwlw</artifactId> <version>0.0.1-SNAPSHOT</version> <packaging>war</packaging> <name>maven Maven Webapp</name> <url>http://maven.apache.org</url> <properties> <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding> </properties> <dependencies> <dependency> <groupId>junit</groupId> <artifactId>junit</artifactId> <version>3.8.1</version> <scope>test</scope> </dependency> <!-- <dependency> <groupId>javax.servlet</groupId> <artifactId>javax.servlet-api</artifactId> <version>3.1.0</version> </dependency> --> <dependency> <groupId>javax.servlet</groupId> <artifactId>servlet-api</artifactId> <version>2.5</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-webmvc</artifactId> <version>4.1.6.RELEASE</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-context</artifactId> <version>4.1.6.RELEASE</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-core</artifactId> <version>4.1.6.RELEASE</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-beans</artifactId> <version>4.1.6.RELEASE</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-aop</artifactId> <version>4.1.6.RELEASE</version> </dependency> <!-- https://mvnrepository.com/artifact/org.ksoap2/ksoap2 --> <dependency> <groupId>org.ksoap2</groupId> <artifactId>ksoap2</artifactId> <version>2.1.2</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-jdbc</artifactId> <version>4.1.6.RELEASE</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-web</artifactId> <version>4.1.6.RELEASE</version> </dependency> <!-- <dependency> <groupId>org.springframework</groupId> <artifactId>spring-orm</artifactId> <version>4.1.6.RELEASE</version> </dependency> --> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-orm</artifactId> <version>3.2.13.RELEASE</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-context-support</artifactId> <version>3.2.2.RELEASE</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-webmvc-portlet</artifactId> <version>4.1.6.RELEASE</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-expression</artifactId> <version>4.1.6.RELEASE</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-aspects</artifactId> <version>4.1.6.RELEASE</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-websocket</artifactId> <version>4.1.6.RELEASE</version> </dependency> <dependency> <groupId>quartz</groupId> <artifactId>quartz</artifactId> <version>1.5.2</version> </dependency> <dependency> <groupId>org.apache.ibatis</groupId> <artifactId>ibatis-sqlmap</artifactId> <version>2.3.4.726</version> </dependency> <!-- <dependency>--> <!-- <groupId>com.ibatis</groupId>--> <!-- <artifactId>ibatis2-sqlmap</artifactId>--> <!-- <version>2.1.7.597</version>--> <!-- </dependency>--> <dependency> <groupId>log4j</groupId> <artifactId>log4j</artifactId> <version>1.2.17</version> </dependency> <dependency> <groupId>commons-io</groupId> <artifactId>commons-io</artifactId> <version>2.4</version> </dependency> <dependency> <groupId>commons-logging</groupId> <artifactId>commons-logging</artifactId> <version>1.2</version> </dependency> <dependency> <groupId>commons-lang</groupId> <artifactId>commons-lang</artifactId> <version>2.6</version> </dependency> <dependency> <groupId>commons-dbcp</groupId> <artifactId>commons-dbcp</artifactId> <version>1.4</version> </dependency> <dependency> <groupId>commons-pool</groupId> <artifactId>commons-pool</artifactId> <version>1.6</version> </dependency> <dependency> <groupId>commons-fileupload</groupId> <artifactId>commons-fileupload</artifactId> <version>1.3.1</version> </dependency> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <version>5.1.35</version> </dependency> <dependency> <groupId>com.belerweb</groupId> <artifactId>pinyin4j</artifactId> <version>2.5.0</version> </dependency> <dependency> <groupId>jstl</groupId> <artifactId>jstl</artifactId> <version>1.2</version> </dependency> <dependency> <groupId>com.google.code.gson</groupId> <artifactId>gson</artifactId> <version>2.5</version> </dependency> <dependency> <groupId>org.apache.httpcomponents</groupId> <artifactId>httpclient</artifactId> <version>4.4.1</version> </dependency> <dependency> <groupId>javax.mail</groupId> <artifactId>mail</artifactId> <version>1.5.0-b01</version> </dependency> <!-- 激光消息推送Starts --> <dependency> <groupId>cn.jpush.api</groupId> <artifactId>jpush-client</artifactId> <version>3.1.3</version> </dependency> <dependency> <groupId>org.slf4j</groupId> <artifactId>slf4j-api</artifactId> <version>1.7.5</version> </dependency> <dependency> <groupId>org.slf4j</groupId> <artifactId>slf4j-log4j12</artifactId> <version>1.7.5</version> </dependency> <dependency> <groupId>com.google.guava</groupId> <artifactId>guava</artifactId> <version>17.0</version> </dependency> <dependency> <groupId>com.squareup.okhttp</groupId> <artifactId>mockwebserver</artifactId> <version>1.5.4</version> <scope>test</scope> </dependency> <!-- 激光消息推送END --> <dependency> <groupId>org.apache.poi</groupId> <artifactId>poi</artifactId> <version>3.11</version> </dependency> <dependency> <groupId>net.sf.ehcache</groupId> <artifactId>ehcache</artifactId> <version>2.10.0</version> </dependency> <dependency> <groupId>javax.servlet.jsp</groupId> <artifactId>jsp-api</artifactId> <version>2.2</version> </dependency> <dependency> <groupId>com.lowagie</groupId> <artifactId>itext</artifactId> <version>2.1.7</version> </dependency> <!-- https://mvnrepository.com/artifact/commons-net/commons-net --> <dependency> <groupId>commons-net</groupId> <artifactId>commons-net</artifactId> <version>3.3</version> </dependency> <!-- https://mvnrepository.com/artifact/com.mchange/c3p0 --> <dependency> <groupId>com.mchange</groupId> <artifactId>c3p0</artifactId> <version>0.9.5.2</version> </dependency> <!-- https://mvnrepository.com/artifact/org.apache.ws.commons.axiom/axiom-api --> <dependency> <groupId>org.apache.ws.commons.axiom</groupId> <artifactId>axiom-api</artifactId> <version>1.2.13</version> </dependency> <!-- https://mvnrepository.com/artifact/dom4j/dom4j --> <dependency> <groupId>dom4j</groupId> <artifactId>dom4j</artifactId> <version>1.6.1</version> </dependency> <!-- https://mvnrepository.com/artifact/org.apache.axis/axis --> <dependency> <groupId>org.apache.axis</groupId> <artifactId>axis</artifactId> <version>1.4</version> </dependency> <!-- https://mvnrepository.com/artifact/javax.xml.rpc/javax.xml.rpc-api --> <dependency> <groupId>javax.xml.rpc</groupId> <artifactId>javax.xml.rpc-api</artifactId> <version>1.1.1</version> </dependency> <!-- https://mvnrepository.com/artifact/org.apache.axis2/axis2 --> <dependency> <groupId>org.apache.axis2</groupId> <artifactId>axis2</artifactId> <version>1.7.6</version> <type>pom</type> </dependency> <!-- https://mvnrepository.com/artifact/org.apache.axis2/axis2-adb --> <dependency> <groupId>org.apache.axis2</groupId> <artifactId>axis2-adb</artifactId> <version>1.7.6</version> </dependency> <!-- https://mvnrepository.com/artifact/soap/soap --> <dependency> <groupId>soap</groupId> <artifactId>soap</artifactId> <version>2.3</version> </dependency> <!-- https://mvnrepository.com/artifact/commons-httpclient/commons-httpclient --> <dependency> <groupId>commons-httpclient</groupId> <artifactId>commons-httpclient</artifactId> <version>3.1</version> </dependency> <dependency> <groupId>com.fasterxml.jackson.core</groupId> <artifactId>jackson-databind</artifactId> <version>2.9.10.4</version> </dependency> <dependency> <groupId>org.eclipse.paho</groupId> <artifactId>org.eclipse.paho.client.mqttv3</artifactId> <version>1.2.0</version> </dependency> <dependency> <groupId>cn.hutool</groupId> <artifactId>hutool-all</artifactId> <version>5.7.2</version> </dependency> </dependencies> <build> <finalName>jdwlw</finalName> <plugins> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-compiler-plugin</artifactId> <configuration> <source>1.8</source> <target>1.8</target> <encoding>utf-8</encoding> <compilerArguments> <extdirs>${project.basedir}/src/main/webapp/WEB-INF/lib</extdirs> </compilerArguments> </configuration> </plugin> </plugins> <resources> <resource> <directory>src/main/resources</directory> <includes> <include>**/*.properties</include> <include>**/*.xml</include> </includes> <filtering>false</filtering> </resource> <resource> <directory>src/main/java</directory> <includes> <include>**/*.properties</include> <include>**/*.xml</include> </includes> <filtering>false</filtering> </resource> </resources> </build> </project>

<think>我们需要整合三个部分:1.将ksoap2依赖从`org.ksoap2:ksoap2:2.1.2`替换为`com.google.code.ksoap2:ksoap2-j2se-core:3.6.2`2.添加仓库配置(repositories)3.为maven-compiler-plugin添加版本号注意:原POM中已经有一个repositories配置,但为了清晰,我们将使用提供的两个仓库(central和aliyun)替换原有的repositories配置。步骤:1.在<properties>下面添加<repositories>节点,包含central和aliyun两个仓库。2.