openat(AT_FDCWD, "sleep.out", O_RDWR|O_CREAT|O_TRUNC, 0666) = 3 sleep.c |& grep sleep.outĬontains: unlink("sleep.out") = 0 That does not generate an error, even though the second gcc call is writing to sleep.out.Ī quick strace shows that GCC first unlinks before writing: strace -f gcc -std=c99 -o sleep.out. This explains why it works for certain programs but not others. Then compile and run analogously to the above, and those asserts pass. The error does not happen if you unlink firstĪssert(open("sleep.out", O_WRONLY|O_CREAT) != -1) Tested on Ubuntu 18.04, Linux kernel 4.15.0. Which contains: openat(AT_FDCWD, "sleep.out", O_WRONLY) = -1 ETXTBSY (Text file busy) Makes Bash output: -bash: sleep.out: Text file busyįor a more complex application, you can also observe it with strace: strace. So we deduce that the message is hardcoded in glibc itself. sleep.cīusy.out passes the asserts, and perror outputs: Text file busy Int ret = open("sleep.out", O_WRONLY|O_TRUNC) Ĭompile and run: gcc -std=c99 -o sleep.out. I recommend understanding the underlying API to better see what is going on. That is why I don't have to add the path where the activate.bat or python.exe are located, they are already declared in the PATH variable from Windows.Minimal runnable C POSIX reproduction example Just a note, when I installed miniconda, I added it to the PATH variables in Windows 10. In the end it's like you are executing the following (assuming your python file is "script.py"):Ĭmd.exe /Q/C conda activate envname & python script.py %f will pass the name of the file that you are executing from.Go to menu: Build - Set Build Commands, in there go to "Execute commands" section, and in Execute Command, type the following: %c will pass the command in execute command from Geany (step 2).& will also pass the argument %c to the execution line.Replace "envname" with the name of your conda virtual environment.Go to menu: Edit - Preferences, in there go to Tools tab and in Terminal, type the following:Ĭmd.exe /Q/C conda activate envname & %c I was able to use these conda environments in Geany 1.36 by doing the following: I am using Windows 10 and conda virtual environments, which I first have to activate before use. Now when you open the project you just created, the project file will automatically point to the correct Python interpreter for the venv you are working in. home/virtual_env_folder/bin/python3.4 "%f"Ĭlick 'OK' and the changes you made will be saved. For example, my virtual folder is in home/my_virtual_env_folder and I want to run the Python3.4 intrepreter in that folder, so I would type in: In the command box next to the 'Execute' button type in the complete path to the bin folder in your venv folder that contains the Python interpreter you wish to run, then add "%f" to the end of the command. Look for the 'Execute' button on the bottom left of the window. To do this, go to the main menu, select 'Build', then select 'Set Build Commands'. Give the project a name and save it in your virtual environment folder.ģ) Configure the build commands for the above project. To do this, go to the main menu, select 'Project', then select 'New'. Verify both 'Use project-based session files' and 'Store project file inside the project-based directory' are selected.Ģ) Create a Geany project file in your venv folder. Now look at 'Projects' section on the tab. Select the General Tab, then select 'Miscellaneous' tab. To do this, go to the main menu, select 'Edit', then 'Preferences'. To set Geany up so that it runs Python code in the appropriate venv, follow these steps:ġ) Verify Geany is set up for Project Sessions. These actions will allow you to run the correct Python interpreter for each virtual environment you create and not affect the configuration of other virtual environments, other project configurations, or your base configuration. Then, point to the Python interpreter that resides in the venv folder using the build configuration feature. Start by creating a project file that resides in your venv folder.
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