+ YjaRt"0tRt^RIt^RIt^RIHt^RIHt^RIH t ^RI t ^RI Ht ^RIHt^RIHuHuH t^RIHtHt^RIHtRRR R l35 tR RR R l35 t]P4P7R R4t]^k]P4P7RR4t!RR]P<4t]!^d4RRRll4t RR/RRllt!R#)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) ModuleTypeAny)array_api_compat)is_array_api_obj is_jax_array) SparseABCArray)c V^8dQh\#r.formats"_/home/luca/screen-checking/.venv/lib/python3.14/site-packages/scipy/_lib/_array_api_override.pyr r s S ArrayLikecJV^8dQh\\P,#r )r nptrrs"rrrs&&&&rSCIPY_ARRAY_APIF SCIPY_DEVICEcpuc&]tRt^ t^t^t^t^tRtR#) _ArrayClsInfoN) __name__ __module__ __qualname____firstlineno__skipnumpy array_likeunknown__static_attributes__rrrrr s D EJGrrc0V^8dQhR\R\/#)rclsreturn)typer)formats"r __annotate__r*(s!!T!}!rc\V\\,4'd\P#\V\ 4'd&V'gRp\ V4h\P#\V\PP4'd \R4h\V\P4'd \R4h\V\P\P,4'd\P#\V\\ ,\",\$,\'R4,4'd\P(#\P*#)zSparse 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.N) issubclasslisttuplerr"r ValueErrorr!npma MaskedArray TypeErrormatrixndarraygenericintfloatcomplexboolr(r r#)r& sparse_okmsgs&& r_validate_array_clsr='s#te|$$'''#y!!*CS/ !"""#ruu(())RSS#ryy!!JKK#rzzBJJ.//""" #sU{W,t3d4j@AA!!!   rr;c0V^8dQhR\R\/#)rarraysr')r r)r)s"rr*r*Is"SHSHUSH SHrc\'g\#.p.pVEFap\\V4VR7pV\P JdK0V\P JdVPPR9dVPV4KrVPPR8Xd%\V4'dVPV4K\RVP: R24hV\PJd&\V4'dVPV4EK\P!V4pTPPR9d\RTP: R24hTPT4EKd V'g\#\ P"!.VOVO5!# \d \R4hi;i)ayGet the array API compatible namespace for the arrays xs. Parameters ---------- *arrays : sequence of array_like Arrays used to infer the common namespace. sparse_ok : bool ``True`` if `scipy.sparse` arrays should be accepted where the namespace would otherwise be NumPy. Default: ``False``. 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 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. )r;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_compatr=r(rr r!dtypekindappendrr3r#rr0 asanyarrayrarray_namespace)r;r? numpy_arrays api_arraysarrayarr_infos$* rrHrHIsL ?LJ&tE{iH })) )  ,, ,{{7*##E*!!S(\%-@-@!!%("9%++IS!STT.. .3CE3J3J   e $ 7 e,{{w."9%++IS!STT    &;B   + + G\ GJ GG 7!677 7s F&&F=cVV^8dQh/^\9d\\,;R&#)rr)__conditional_annotations__strr:)r)s"rr*r*s#4GFtF5r)F)#rN__doc__enumos functoolsrtypesrtypingrr!r0 numpy.typingrscipy._externalr&scipy._external.array_api_compat.numpy _externalrC scipy._external.array_api_compatrrscipy._lib._sparser r renvirongetrrEnumrr=rHr*)rNs@rr_s  ,::K(&&!jjnn->FFzz~~ne4 DII 3!!BSHeSHSHr