+ ,id ^RIt^RIHtRtR#)N)Boundsc Vf}\P!\P).V,\PR7p\P!\P.V,\PR7pW#3#\ V\ 4'Ed\P!VP \PR7p\P!VP\PR7p\P!V\P)\P!V\V4, 4,34p\P!V\P\P!V\V4, 4,34pW#3#\P!VUu.uF'qD^,e V^,M\P)NK) up\PR7p\P!VUu.uF&qD^,e V^,M\PNK( up\PR7p\P!V\P)\P!V\V4, 4,34p\P!V\P\P!V\V4, 4,34pW#3#uupiuupi)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] )dtype) nparrayinffloat64 isinstancerlbub concatenateoneslen)boundslenx0r r bounds&& C/usr/lib/python3/dist-packages/scipy/_lib/pyprima/common/_bounds.pyprocess_boundsrs~ XXwioRZZ 8 XXrvvhunBJJ 7v &&!! XXfiirzz 2 XXfiirzz 2 ^^R"&&R)A!AB C ^^RB(@!@A Bv  fUfUQx358"&&@fU]_]g]g hB VTVEQx358?VT\^\f\f gB bffWRWWUSW_%==> ?B RVVBGGECGO$<<= >B 6M VTs 2-K3 ,K8)numpyrscipy.optimizerrrrs!r