ЏkhdddlZddlmZdZy)N)Boundsc V|stjtj g|ztj}tjtjg|ztj}||fSt |t rtj|j tj}tj|jtj}tj|tj tj|t|z zf}tj|tjtj|t|z zf}||fStj|Dcgc]}|d|dntj c}tj}tj|Dcgc]}|d|dntjc}tj}tj|tj tj|t|z zf}tj|tjtj|t|z zf}||fScc}wcc}w)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] )dtyper) nparrayinffloat64 isinstancerlbub concatenateoneslen)boundslenx0r r bounds ]/var/www/teggl/fontify/venv/lib/python3.12/site-packages/scipy/_lib/pyprima/common/_bounds.pyprocess_boundsrs~ XXwioRZZ 8 XXrvvhunBJJ 72v &&! XXfiirzz 2 XXfiirzz 2 ^^R"&&R)A!AB C ^^RB(@!@A B2v  fUUuQx358"&&@U]_]g]g hB VTEuQx358?T\^\f\f gB bffWRWWUSW_%==> ?B RVVBGGECGO$<<= >B r6M VTs "J!!J&)numpyrscipy.optimizerrrrs!r