Tid ddlZddlmZdZdS)N)Boundsc j|atjtj g|ztj}tjtjg|ztj}||fSt |t rtj|jtj}tj|jtj}tj|tj tj |t|z zf}tj|tjtj |t|z zf}||fStjd|Dtj}tjd|Dtj}tj|tj tj |t|z zf}tj|tjtj |t|z zf}||fS)a `bounds` can either be an object with the properties lb and ub, or a list of tuples indicating a lower bound and an upper bound for each variable. If the list contains fewer entries than the length of x0, the remaining entries will generated as -/+ infinity. Some examples of valid lists of tuple, assuming len(x0) == 3: [(0, 1), (2, 3), (4, 5)] -> returns [0, 2, 4], [1, 3, 5] [(0, 1), (None, 3)] -> returns [0, -inf, -inf], [1, 3, inf] [(0, 1), (-np.inf, 3)] -> returns [0, -inf, -inf], [1, 3, inf] N)dtypecHg|]}|d|dn tj  S)rnpinf.0bounds y/var/www/development/aibuddy-work/election-extract/venv/lib/python3.11/site-packages/scipy/_lib/pyprima/common/_bounds.py z"process_bounds..s-UUUUuQx3588"&UUUcFg|]}|d|dn tjS)rr s r rz"process_bounds..s+TTTEuQx3588TTTr) rarrayr float64 isinstancerlbub concatenateoneslen)boundslenx0rrs r process_boundsrs~ XwioRZ 8 8 8 XrvhunBJ 7 7 72v &&!! Xfirz 2 2 2 Xfirz 2 2 2 ^R"&R)A)A!AB C C ^RB(@(@!@A B B2v  UUfUUU]_]g h h hB TTVTTT\^\f g g gB bfWRWUSWW_%=%==> ? ?B RVBGECGGO$<$<<= > >B r6Mr)numpyrscipy.optimizerrrr r s<!!!!!!r