q-PhXddlmZddlmZmZer ddlmZddlmZGddZ dS)) annotations) TYPE_CHECKINGAny)Mapping)DeviceMemoryResourcecVeZdZUdZded< ded< ded< ded < d d d d ddZd S) GPUEngineaq Configuration options for the GPU execution engine. Use this if you want control over details of the execution. Parameters ---------- device : int, default None Select the GPU used to run the query. If not provided, the query uses the current CUDA device. memory_resource : rmm.mr.DeviceMemoryResource, default None Provide a memory resource for GPU memory allocations. .. warning:: If passing a `memory_resource`, you must ensure that it is valid for the selected `device`. See the `RMM documentation `_ for more details. raise_on_fail : bool, default False If True, do not fall back to the Polars CPU engine if the GPU engine cannot execute the query, but instead raise an error. int | NonedevicezDeviceMemoryResource | Nonememory_resourcebool raise_on_failzMapping[str, Any]configNF)r r r Any | NonekwargsrreturnNonec :||_||_||d<||_dS)Nr)r r r)selfr r rrs ^/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/polars/lazyframe/engine_config.py__init__zGPUEngine.__init__1s( ."/ ) r r r rrr rrrr)__name__ __module__ __qualname____doc____annotations__rrrr r s2'00008: "&*#        rr N) __future__rtypingrrcollections.abcrrmm.mrrr rrrr#s""""""%%%%%%%%,''''''++++++2222222222r