LR9.10安装报错解决

在一个新的Windows2003 sp2系统中装HP LoadRunner 9.10,点击安装后提示

“Setup has determined that a previous installation has not completed.
You should restart the system in order to complete this process.”


重启电脑后问题还存在,综合网友的解决办法如下:

1.
开始—>运行—>输入%temp%
2.
找到“Prereq_Mgr.HP_LoadRunner_9.10.log”文件,这个文件记录着不能安装的原因。[@more@]

我的这个日志文件记录如下:
[12/22/10 10:31:02] INFO: (IsRebootRequired) The registry value [PendingFileRenameOperations] exists under [HKEY_LOCAL_MACHINESYSTEMCurrentControlSetControlSession Manager] and cannot be ignored

3
、删除注册表项(如果要操作注册表,最好要把注册表备份好,防止误操作)
把注册表HKEY_LOCAL_MACHINESYSTEMCurrentControlSetControlSession Manager下的项PendingFileRenameOperations删除。

再安装HP LoadRunner 9.10就可以正常安装了!

Reference: http://hi.baidu.com/yy199771/blog/item/b92ffd17788c2b4421a4e9f6.html

来自 “ ITPUB博客 ” ,链接:http://blog.itpub.net/12472709/viewspace-1043457/,如需转载,请注明出处,否则将追究法律责任。

转载于:http://blog.itpub.net/12472709/viewspace-1043457/

Successfully uninstalled triton-3.3.1 Successfully installed SimpleITK-2.5.2 argparse-1.4.0 batchgenerators-0.25.1 contourpy-1.3.3 cycler-0.12.1 dicom2nifti-2.6.2 fonttools-4.60.1 future-1.0.0 imageio-2.37.2 importlib-resources-6.5.2 joblib-1.5.2 kiwisolver-1.4.9 lazy-loader-0.4 linecache2-1.0.0 matplotlib-3.10.7 medpy-0.5.2 nibabel-5.3.2 nnunet-1.7.1 nvidia-cublas-cu12-12.8.4.1 nvidia-cuda-cupti-cu12-12.8.90 nvidia-cuda-nvrtc-cu12-12.8.93 nvidia-cuda-runtime-cu12-12.8.90 nvidia-cudnn-cu12-9.10.2.21 nvidia-cufft-cu12-11.3.3.83 nvidia-cufile-cu12-1.13.1.3 nvidia-curand-cu12-10.3.9.90 nvidia-cusolver-cu12-11.7.3.90 nvidia-cusparse-cu12-12.5.8.93 nvidia-cusparselt-cu12-0.7.1 nvidia-nccl-cu12-2.27.5 nvidia-nvjitlink-cu12-12.8.93 nvidia-nvshmem-cu12-3.3.20 nvidia-nvtx-cu12-12.8.90 pandas-2.3.3 pyparsing-3.2.5 python-gdcm-3.2.2 pytz-2025.2 scikit-image-0.25.2 scikit-learn-1.7.2 scipy-1.16.3 threadpoolctl-3.6.0 tifffile-2025.10.16 torch-2.9.0 traceback2-1.4.0 triton-3.5.0 tzdata-2025.2 unittest2-1.1.0 WARNING: Running pip as the &#39;root&#39; 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 (base) root@79d153e3ced3:/# python -c "import nnunet; print(nnunet.__version__)" Please cite the following paper when using nnUNet: Isensee, F., Jaeger, P.F., Kohl, S.A.A. et al. "nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation." Nat Methods (2020). https://doi.org/10.1038/s41592-020-01008-z If you have questions or suggestions, feel free to open an issue at https://github.com/MIC-DKFZ/nnUNet Traceback (most recent call last): File "<string>", line 1, in <module> AttributeError: module &#39;nnunet&#39; has no attribute &#39;__version__&#39;
11-13
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