a ƒ¼Df ã@s>ddlmZddlZddlmZddgZd dd„Zdd„ZdS) é)Úabsolute_importN)Ú datashapeÚpromoteÚ optionifyTcCs€||kr |St|d|ƒt|d|ƒ}}||kr>> from datashader.datashape import int32, int64, Option, string >>> x = Option(int32) >>> y = int64 >>> promote(x, y) Option(ty=ctype("int64")) >>> promote(int64, int64) ctype("int64") Don't promote to option types. >>> promote(x, y, promote_option=False) ctype("int64") Strings are handled differently than NumPy, which promotes to ctype("object") >>> x = string >>> y = Option(string) >>> promote(x, y) == promote(y, x) == Option(string) True >>> promote(x, y, promote_option=False) ctype("string") Notes ---- Except for ``datashader.datashape.string`` types, this uses ``numpy.result_type`` for type promotion logic. See the numpy documentation at: http://docs.scipy.org/doc/numpy/reference/generated/numpy.result_type.html Úty) ÚgetattrrÚstringÚnpZ result_typeZto_numpy_dtypeZCTypeZfrom_numpy_dtyper)ÚlhsÚrhsZpromote_optionÚleftÚrightZdtypeZ np_res_type©rúi/nfs/NAS7/SABIOD/METHODE/ermites/ermites_venv/lib/python3.9/site-packages/datashader/datashape/promote.pyr s  ÿ  cCs2t|jdƒr|St|dƒs$t|dƒr.t |¡S|S)aÃCheck whether a binary operation's dshape came from :class:`~datashape.coretypes.Option` typed operands and construct an :class:`~datashape.coretypes.Option` type accordingly. Examples -------- >>> from datashader.datashape import int32, int64, Option >>> x = Option(int32) >>> x Option(ty=ctype("int32")) >>> y = int64 >>> y ctype("int64") >>> optionify(x, y, int64) Option(ty=ctype("int64")) r)ÚhasattrZmeasurerÚOption)r r Zdshaperrrr9s   )T) Ú __future__rÚnumpyr Z datashaderrÚ__all__rrrrrrÚs   /