+ h csf^RIHt^RIHtHt^RIt]'d^RIHtR RRllt R RRllt R#) i) annotations) TYPE_CHECKINGAnyN)CoordinateArraycs$V^8dQhRRRRRR/#)shapetuple[int, int] want_maskZboolreturnVtuple[CoordinateArray, CoordinateArray, CoordinateArray | np.ma.MaskedArray[Any, Any]]Zformat":/usr/lib64/python3.14/site-packages/contourpy/util/data.py __annotate__r s$%% %'+%[%c sVwr#\P!V\PR7p\P!V\PR7p\P!WE4wrEVR, pVR, p\P!.RO4p\P!RR.RR.RR .RR.R R..4p \P!.RO4p \P !V4p \ \V44Fp WV ,\P!WF, W^3,, ^,WW, W^3,, ^,,)W,^,, 4,, p K V'd\P!WF, R, ^,R, WW, R , ^,R , ,R8WF, R, ^,R , WW, R, ^,R, ,R84p \PPWR7p WEV 3#)aMReturn simple test data consisting of the sum of two gaussians. Args: shape (tuple(int, int)): 2D shape of data to return. want_mask (bool, optional): Whether test data should be masked or not, default ``False``. Return: Tuple of 3 arrays: ``x``, ``y``, ``z`` test data, ``z`` will be masked if ``want_mask=True``. Zdtype?皙?g?ffffff?皙?皙?g333333?g?g?皙?g{Gz?g?g{Gz?mask)rgrgr)rrrrr) nparangefloat64meshgridZasarrayZ zeros_likeZrangeZlenZexpZ logical_ormaarray)rrnynxxyZxscaleZyscaleZampZmidZwidthzZirs&& r simpler% sFB "BJJ'A "BJJ'A ;;q DA #XF #XF **0 1C **sCj3*sDkC:c{S TC JJ0 1E aA 3s8_ VBFFahT2Q6!(SAY:NQR9RRSV[V^`aVaab bb}}hnq 3 &!(S.1)*E E L  EEKKK % 7Nrcs(V^8dQhRRRRRRRR/#) rrrseedZint mask_fractionZfloatrr r r r r rr3s, "%=B[rcsVwr4\P!V\PR7p\P!V\PR7p\P!WV4wrV\PP V4pVP VR7pVR8dB\VR4pVP VR7V8p \PPWR7pWVV3#)aReturn random test data in the range 0 to 1. Args: shape (tuple(int, int)): 2D shape of data to return. seed (int, optional): Seed for random number generator, default 2187. mask_fraction (float, optional): Fraction of elements to mask, default 0. Return: Tuple of 3 arrays: ``x``, ``y``, ``z`` test data, ``z`` will be masked if ``mask_fraction`` is greater than zero. r)ZsizergGz?r) rrrrrandomZ default_rngZuniformZminrr) rr&r'r r!r"r#Zrngr$rs &&& r r(r(3sFB "BJJ'A "BJJ'A ;;q DA ))   %C  AsM40 {{{&6 EEKKK % 7Nr)F)ir) Z __future__rZtypingrrZnumpyrZcontourpy._contourpyrr%r(r rr r)s$"%4%Pr