ray.runtime_env.RuntimeEnvConfig#

class ray.runtime_env.RuntimeEnvConfig(setup_timeout_seconds: int = 600, eager_install: bool = True, log_files: List[str] | None = None)[source]#

Bases: dict

Used to specify configuration options for a runtime environment.

The config is not included when calculating the runtime_env hash, which means that two runtime_envs with the same options but different configs are considered the same for caching purposes.

Parameters:

  • setup_timeout_seconds – The timeout of runtime environment creation, timeout is in seconds. The value -1 means disable timeout logic, except -1, setup_timeout_seconds cannot be less than or equal to 0. The default value of setup_timeout_seconds is 600 seconds.

  • eager_install – Indicates whether to install the runtime environment on the cluster at ray.init() time, before the workers are leased. This flag is set to True by default.

Methods

clear

copy

fromkeys

Create a new dictionary with keys from iterable and values set to value.

get

Return the value for key if key is in the dictionary, else default.

items

keys

pop

If the key is not found, return the default if given; otherwise, raise a KeyError.

popitem

Remove and return a (key, value) pair as a 2-tuple.

setdefault

Insert key with a value of default if key is not in the dictionary.

update

If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]

values

Attributes

known_fields