WebAug 14, 2015 · I had the same issue and found that there was no perl at #!/usr/bin/perl. neither perl -v or /usr/bin/perl -v were working. I did a find / -name for perl then added a symbolic link from /usr/bin to the real location. perl -v -bash: perl: command not found /usr/bin/perl -v -bash: /usr/bin/perl: No such file or directory WebOct 29, 2024 · Installation From Source. You can download and decompress our source code, or fetch it using git. Now change directory to the Tree2gd source code folder and …
PL Device missing in linux (no amba_pl) - Xilinx
WebOct 4, 2024 · The utility which (a shell-builtin on my system). shows the full path of (shell) commands. So it can query the location of installed programs, like ls or cd, and it also will … WebNov 3, 2024 · Hello I’m playing with Balena Sound project with my raspberries, and all is working perfectly ! I got some Orange PI Zero (512Mb version) and I’ve added in my fleet. The only issue is I haven’t any sound. I’ve looked on the logs and I got this audio mount: mounting nodev on /sys/kernel/debug failed: No such file or directory audio audio --- … fastmetrix
How do I fix "bash: perl myscript.pl: command not found"?
WebMar 17, 2016 · Unless myscript.pl is in your path you will need to specify the current directory. $ ./myscript.pl You can check if the current directory is in your path with $ echo … WebSep 16, 2014 · Run the script either as: bash script.sh or just: ./script.sh When bash is run using the name sh, it disables most of its extensions, such as the [ [ testing operator. Since you have the #!/bin/bash shebang line, you don't need to specify the shell interpreter explicitly on the command line. WebThe error message is like below: -ksh: revenue_ext.ksh: not found [No such file or directory] However, other ksh scripts under the same directory run fine so am absolutely clueless about what could be wrong here. Any help would be greatly appreciated ksh executable Share Improve this question Follow edited Apr 13, 2024 at 12:36 Community Bot 1 fast metric learning for deep neural networks