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https://github.com/vale981/ray
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49 lines
1.7 KiB
Python
49 lines
1.7 KiB
Python
from enum import Enum
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from typing import Dict, Any
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from pydantic import BaseModel as PydanticBaseModel, Extra
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from ray.core.generated import common_pb2
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class BaseModel(PydanticBaseModel):
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class Config:
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arbitrary_types_allowed = True
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extra = Extra.forbid
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class Language(str, Enum):
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PYTHON = common_pb2.Language.Name(common_pb2.PYTHON)
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JAVA = common_pb2.Language.Name(common_pb2.JAVA)
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CPP = common_pb2.Language.Name(common_pb2.CPP)
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class RuntimeEnv(BaseModel):
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# The url to download the job package archive. The archive format is
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# one of “zip”, “tar”, “gztar”, “bztar”, or “xztar”. Please refer to
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# https://docs.python.org/3/library/shutil.html#shutil.unpack_archive
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working_dir: str
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class JobDescription(BaseModel):
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# The job driver language, this field determines how to start the
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# driver. The value is one of the names of enum Language defined in
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# common.proto, e.g. PYTHON
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language: Language
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# The runtime_env (RuntimeEnvDict) for the job config.
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runtime_env: RuntimeEnv
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# The entry to start the driver.
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# PYTHON:
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# - The basename of driver filename without extension in the job
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# package archive.
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# JAVA:
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# - The driver class full name in the job package archive.
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driver_entry: str
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# The driver arguments in list.
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# PYTHON:
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# - The arguments to pass to the main() function in driver entry.
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# e.g. [1, False, 3.14, "abc"]
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# JAVA:
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# - The arguments to pass to the driver command line.
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# e.g. ["-custom-arg", "abc"]
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driver_args: list = []
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# The environment vars to pass to job config, type of keys should be str.
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env: Dict[str, Any] = {}
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