o bi@sNddlZddlmZmZddlmZddlmZee Z GdddeZ dS)N)ListOptional)RuntimeEnvContext)RuntimeEnvPluginc @sleZdZdZdZddZefdeeddde d e j d e f d d Z efd eeddde d ee j fddZdS)PyExecutablePlugina\This plugin allows running Ray workers with a custom Python executable. You can use it with `ray.init(runtime_env={"py_executable": " "})`. If you specify a `working_dir` in the runtime environment, the executable will have access to the working directory, for example, to a requirements.txt for a package manager, a script for a debugger, or the executable could be a shell script in the working directory. You can also use this plugin to run worker processes in a custom profiler or use a custom Python interpreter or `python` with custom arguments. py_executablecCsdS)N)selfrrZ/home/ubuntu/.local/lib/python3.10/site-packages/ray/_private/runtime_env/py_executable.py__init__szPyExecutablePlugin.__init__uri runtime_env RuntimeEnvcontextloggerreturncsdS)Nrr)r r r rrrrr createszPyExecutablePlugin.createuriscCs|d||_dS)NzRunning py_executable plugin)infor)r rr rrrrr modify_context%s z!PyExecutablePlugin.modify_contextN)__name__ __module__ __qualname____doc__namer default_loggerrstrrloggingLoggerintrrrrrrr r s4  r) rtypingrr ray._private.runtime_env.contextrray._private.runtime_env.pluginr getLoggerrrrrrrr s