Eiw%SrSSKrSSKrSSKJr SSKJr SSKJrJ r SSK r SSK Jr SSKJr SSKJs Js J r SSKJrJr SSKJr \r\ \S '\\ R4-r\ \S '\R6R9S S 5r\\-\S '\R6R9S S5r "SS\RB5r"\"S5S\#S\"4Sj5r$S\S\4Sjr%g)z| Override functions from array_api_compat, for use by array-api-extra and internally. See also _array_api_compat_vendor.py N) lru_cache) ModuleType)Any TypeAlias)array_api_compat)is_array_api_obj is_jax_array) SparseABCArray ArrayLikeSCIPY_ARRAY_APIF SCIPY_DEVICEcpuc$\rSrSrSrSrSrSrSrg) _ArrayClsInfo rN) __name__ __module__ __qualname____firstlineno__skipnumpy array_likeunknown__static_attributes__r[/home/mande/repo/quber/.venv/lib/python3.13/site-packages/scipy/_lib/_array_api_override.pyrr s D EJGr rdclsreturnc t[U[[45(a[R$[U[ 5(a Sn[ U5e[U[RR5(a [S5e[U[R5(a [S5e[U[R[R45(a[R$[U[[ ["[$['S545(a[R($[R*$)NzSparse arrays/matrices are not supported by this function. Perhaps one of the `scipy.sparse.linalg` functions would work instead.z8Inputs of type `numpy.ma.MaskedArray` are not supported.z0Inputs of type `numpy.matrix` are not supported.) issubclasslisttuplerrr ValueErrornpma MaskedArray TypeErrormatrixndarraygenericrintfloatcomplexbooltyperr)r#msgs r!_validate_array_clsr7's#u~&&'''#y!!&o#ruu(())RSS#ryy!!JKK# BJJ/00""" #UGT4:>??!!!   r arrayscb[(d[$/n/nUGHVn[[U55nU[R LaM-U[R LaURRS;aURU5 MmURRS:Xa#[U5(aURU5 M[SUR<S35eU[RLa#[U5(aURU5 M[R"U5nURRS;a[SUR<S35eURU5 GMY U(d[$[ R""/UQUQ76$![a [S5ef=f)aGet the array API compatible namespace for the arrays xs. Parameters ---------- *arrays : sequence of array_like Arrays used to infer the common namespace. Returns ------- namespace : module Common namespace. Notes ----- Wrapper around `array_api_compat.array_namespace`. 1. Check for the global switch `SCIPY_ARRAY_API`. If disabled, just return array_api_compat.numpy namespace and skip all compliance checks. 2. Check for known-bad array classes. The following subclasses are not supported and raise and error: - `numpy.ma.MaskedArray` - `numpy.matrix` - NumPy arrays which do not have a boolean or numerical dtype - `scipy.sparse` arrays 3. Coerce array-likes to NumPy arrays and check their dtype. Note that non-scalar array-likes can't be mixed with non-NumPy Array API objects; e.g. - `array_namespace([1, 2])` returns NumPy namespace; - `array_namespace(np.asarray([1, 2], [3, 4])` returns NumPy namespace; - `array_namespace(cp.asarray([1, 2], [3, 4])` raises an error. iufcbVzAn argument has dtype `z3`; only boolean and numerical dtypes are supported.zCAn argument is neither array API compatible nor coercible by NumPy.)r np_compatr7r5rrrdtypekindappendr r-rrr* asanyarrayrarray_namespace)r8 numpy_arrays api_arraysarrayarr_infos r!rArAEsH ?LJ&tE{3 })) )  ,, ,{{7*##E*!!S(\%-@-@!!%("9%++IS!STT.. .3CE3J3J   e $ 7 e,{{w."9%++IS!STT    &;B   + + G\ GJ GG 7!677 7s FF.)&__doc__enumos functoolsrtypesrtypingrrrr* numpy.typingnpt scipy._libr!scipy._lib.array_api_compat.numpy_libr<scipy._lib.array_api_compatrr scipy._lib._sparser r __annotations__r environgetr strr4rEnumrr5r7rArr r!rXs  !'55F(ys}}, 9,!jjnn->FtFzz~~ne4 DII 3!T!m!!:QHUQHzQHr