我今天把移动硬盘插在mac电脑里面,然后想直接运行Mac电脑的python程序,然后出现了下述错误: macOSError: [Errno30]Read-onlyfilesystem:'complete_data.txt' 1. 然后,我下载Mounty for NTFS之后,安装后, 重新把移动硬盘插入mac电脑上,中间会弹出一个提示,选择赋予read write操作就行啦。是不是很简单的办法。 mount...
Afterwards, installed Visual Studio Code, and a Python extension, setting python3 as an interpreter. When open a file with a .py file extension, VSC suggests that pylint gets installed. After I select "install", I get the following in the integrated terminal: sh-4.3$ "/us...
which is interesting, because why would my new crash folder be read only right after I made it? And it's read only when I use sudo? But I didn't get that issue when I ran cpac without sudo... of course though the supposed /logs file was "read only". Thanks! Author keithcdodd ...
221 return 222 try: --> 223 mkdir(name, mode) 224 except OSError: 225 # Cannot rely on checking for EEXIST, since the operating system OSError: [Errno 30] Read-only file system: '//logdir'
I have deployed a flask app on GCP app engine that I'm using for uploading files to GCP bucket storage and then download the file from the storage when required. However, I'm encountering the error OSError: [Errno 30] Read-only file system: when I try to download the file from cloud...
MACOS上碰到 IOError: [Errno 30] Read-only file system 最近一直在MACOS上重启之后就会碰到 IOError: [Errno 30] Read-only file system: 解决办法: sudo mount -uw / 就可以了
then I get aFailure Exception: OSError: [Errno 30] Read-only file system ... Ideas I know that I shouldn't write to the file system from within an Azure function if possible. But I actually don't want to write anything to the local file system. I only want to create the ...
File "/azureml-envs/azureml_91e342c44c0de9bc46808411bb1fed8e/lib/python3.6/pathlib.py", line 387, in wrapped return strfunc(str(pathobj), *args) OSError: [Errno 30] Read-only file system: '/mnt/batch/tasks/shared/LS_root/jobs/gmail/azureml/68b3ef53-65a6-4d2f-a3ba-07af48d108...
并且这个文件系统，还会面临外部数百个并发访问的客户端，可以称得上是石破天惊。 当然，在 19年后的...
OSError: [Errno 30] Read-only file system: '/mlflow' /mlflow I've tried just saving artifacts within the container only and also as a mounted volume and both give the same error. volumes: - ./data:/mlflow:rw # - ./data/mlartifacts:/mlflow/mlartifacts:rw ...