к ЙЯi┘ЦСP≈ddlmZddlmZmZerddlmZddlmZGd└d╚Z y)И)зannotations)з TYPE_CHECKINGзAny)зMapping)зDeviceMemoryResourcecСf≈eZdZUdZded< ded< ded< ded < d d dd° dd └Zy )з 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. З int | NoneзdevicezDeviceMemoryResource | Noneзmemory_resourceзboolз raise_on_failzMapping[str, Any]зconfigNF)rrrcС8≈||_||_||d<||_y)Nr)rrr)зselfrrrзkwargss З`/var/www/pod-logistic/pod-ai/venv/lib/python3.12/site-packages/polars/lazyframe/engine_config.pyз__init__zGPUEngine.__init__1s$─П┬▄ь.┬тЮ"/┬┬яь┬█С) rr rz Any | Nonerr rrзreturnзNone)з__name__з __module__з__qualname__з__doc__з__annotations__r╘rrr r ss┘ЯП2 сь'ь0с0ь8ьсПП сь:П "ь&*ь#ЯППП$П П ППП П Тrr N) з __future__rзtypingrrзcollections.abcrзrmm.mrrr rrrЗr"sПщ"Г%Ащ'Е+В2Р2r