37 lines
1.6 KiB
Bash
Executable File
37 lines
1.6 KiB
Bash
Executable File
#!/usr/bin/env bash
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#----------------------------------------
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# Ghidra Python launch
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#----------------------------------------
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# Maximum heap memory may be changed if default is inadequate. This will generally be up to 1/4 of
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# the physical memory available to the OS. Uncomment MAXMEM setting if non-default value is needed.
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#MAXMEM=2G
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# Launch mode can be changed to one of the following: fg, debug, debug-suspend
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LAUNCH_MODE=fg
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# Set the debug address to listen on.
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# NOTE: This variable is ignored if not launching in a debugging mode.
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DEBUG_ADDRESS=127.0.0.1:13002
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# Limit the # of garbage collection and JIT compiler threads in case many python
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# instances are run in parallel. By default, Java will assign one thread per core
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# which does not scale well on servers with many cores.
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VMARG_LIST="-XX:ParallelGCThreads=2 "
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VMARG_LIST+="-XX:CICompilerCount=2 "
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# Prevent the shell losing focus when Ghidra initializes
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VMARG_LIST+="-Djava.awt.headless=true "
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# Resolve symbolic link if present and get the directory this script lives in.
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# NOTE: "readlink -f" is best but works on Linux only, "readlink" will only work if your PWD
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# contains the link you are calling (which is the best we can do on macOS), and the "echo" is the
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# fallback, which doesn't attempt to do anything with links.
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SCRIPT_FILE="$(readlink -f "$0" 2>/dev/null || readlink "$0" 2>/dev/null || echo "$0")"
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SCRIPT_DIR="${SCRIPT_FILE%/*}"
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# Launch Ghidra Python
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# DEBUG_ADDRESS set via environment for launch.sh
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DEBUG_ADDRESS=${DEBUG_ADDRESS} "${SCRIPT_DIR}"/launch.sh "${LAUNCH_MODE}" "Ghidra-Python" "${MAXMEM}" "${VMARG_LIST}" ghidra.python.PythonRun "$@"
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