+ LV-j .^RIHt^RIHtR.tRRltR#))_minimize_trust_region)get_trlib_quadratic_subproblem_minimize_trust_krylovNc  Vf \RR4hVfVf \R4hV'd3\W3RVRVRVRVR\RRVPR R 4R 7/VB#\W3RVRVRVRVR\R R VPR R 4R 7/VB#)a[ Minimization of a scalar function of one or more variables using a nearly exact trust-region algorithm that only requires matrix vector products with the hessian matrix. .. versionadded:: 1.0.0 Options ------- inexact : bool, optional Accuracy to solve subproblems. If True requires less nonlinear iterations, but more vector products. z&Jacobian is required for trust region zexact minimization.zaEither the Hessian or the Hessian-vector product is required for Krylov trust-region minimizationargsjachesshessp subproblemdispF) tol_rel_i tol_rel_br g:0yE>gư>gg) ValueErrorrrget)funx0rrr r inexacttrust_region_optionss&&&&&&&,s/Volumes/fast/ai/experiments/ui-tars-smoke/.venv/lib/python3.14/site-packages/scipy/optimize/_trustregion_krylov.pyrrs  {A.0 0 | LM M0%c>D>c>+/>7<>1O48D/C/G/GPU/V2,> )= > >&c>D>c>+/>7<>1O48D/C/G/GPU/V2,> )= > >)NNNT) _trustregionr_trlibr__all__rrrrrs24 # $;>r