wdX8ddlmZddlZddlZddgZddZdZdS) )absolute_importNpromote optionifyTc~||kr|St|d|t|d|}}||cxkrtjkrnn tj}nXtjtj|tj|}tj|}|rt|||}|S)aPromote two scalar dshapes to a possibly larger, but compatible type. Examples -------- >>> from 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 ``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 ty) getattr datashapestringnp result_typeto_numpy_dtypeCTypefrom_numpy_dtyper)lhsrhspromote_optionleftrightdtype np_res_types 1lib/python3.11/site-packages/datashape/promote.pyrr s@ cz #tS))73c+B+B%D u>>>> (>>>>> nY%=d%C%C%.%=e%D%DFF 00==+#sE** Lct|jdr|St|dst|drtj|S|S)aCheck 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 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)hasattrmeasurer Option)rrdshapes rrr9sV"v~t$$ sD(WS$//(''' Mr)T) __future__rnumpyr r __all__rrrrr"si&&&&&& k ",,,,^r