Bpj nSSKrSSKrSSKJrJrJrJrJrJr SSK J r SSK J r S/r \ "SS9S Sj5rg) N)zerosasarrayeyepoly1dhstackr_)linalg)xp_capabilitiespadeT) out_of_scopec [RR[54nSn[R "U[ US9 [U5nUc"[U5S- U- nUS:a [S5eUS:a [S5eX-nU[U5S- :a [S5eUSUS-n[US-US-URS 9n[US-U4URS 9n[SUS-5HnUSUSSS 2*XxSU24'M [US-US-5HnXU- USSS 2*XxSS24'M [Xg45n [R "X5n U SUS-n ["S XS-S4n [%U SSS 25[%U SSS 254$) a Return Pade approximation to a polynomial as the ratio of two polynomials. .. deprecated:: 1.18.0 This function is deprecated and will be removed in SciPy 1.20.0. Use `mpmath.pade` instead. Parameters ---------- an : (N,) array_like Taylor series coefficients. m : int The order of the returned approximating polynomial `q`. n : int, optional The order of the returned approximating polynomial `p`. By default, the order is ``len(an)-1-m``. Returns ------- p, q : Polynomial class The Pade approximation of the polynomial defined by `an` is ``p(x)/q(x)``. Examples -------- >>> import numpy as np >>> from scipy.interpolate import pade >>> e_exp = [1.0, 1.0, 1.0/2.0, 1.0/6.0, 1.0/24.0, 1.0/120.0] >>> p, q = pade(e_exp, 2) >>> e_exp.reverse() >>> e_poly = np.poly1d(e_exp) Compare ``e_poly(x)`` and the Pade approximation ``p(x)/q(x)`` >>> e_poly(1) 2.7166666666666668 >>> p(1)/q(1) 2.7179487179487181 zT`pade` is deprecated and will be removed in SciPy 1.20.0. Use `mpmath.pade` instead.)skip_file_prefixesNrz.Order of q must be smaller than len(an)-1.z&Order of p must be greater than 0.z0Order of q+p must be smaller than len(an).)dtypeg?)ospathdirname__file__warningswarnDeprecationWarningrlen ValueErrorrrrrangerr solverr) anmn _warn_skipsmsgNAkjBkjrowCpqpqs S/var/www/html/pdf-tiff/venv/lib/python3.13/site-packages/scipy/interpolate/_pade.pyr r sX77??8,.K $C MM#)kJ By GaK!O q5MN N1uABB A3r719}KLL DQqSB ac1Q3bhh 'C 1a )CQ!}Tc(DbD))H QqS!A#a%}dd++E zA a B 4AaCA 3Q34=A !DbD'?F1TrT7O ++)N)rrnumpyrrrrrrscipyr scipy._lib._array_apir __all__r r+r*r1s7 991 (d#D,$D,r+