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D Dv(Ðf~(ȉ%=w#u'D$L$. bCzHuFL$\(ÍBt5fnȁ(YT$T$@ CfDXff(fT Cf. B Bv f(DfH~HH ȉ%=v\-f( кu7%=t|=f(YL$L$H H fHn\f(f. uLHD$L$f. EBzuL$\D (B\ff(XfDDXfl$-Bv BDHD$l$|$l$z?u=HD$D$l$|$l$zul$l$fDHL$qt$H L$uP% ‰T$l$tIu|$l$DHT$HH ul$z?D$l$\fl$f.SHD$ uH[ÿVH[ff.HD$H SHH^HtD$H[ f.SHHHtT$ uH[fDH[ff.@f^ff.@6fD&fDf^f.f.f.ffH~fofoH f(fnfH~H .(fnzwuu.zf.. ??L$D$\D$D$(T$D$~D$fDf.E„t .E„uMf.zu/O?v %I?/wD\$L$~L$T$D$~D$K/((h4@H,fH*.zuH@HH HPcHxH>fHHHи!(YYY\(XHt!((YYYYX\(HH9}f/ =(TT/.ԺE„.E„=^^(If.=f.((YYY\X( (((Y(YYX\(YYYY\X(((D=^YX(^fY\X=YY( =^YX(YX\<^YY(If.ff.E„t!f.E„t;ffDff(f.f(E„tQf.E„tCf/f(f(w u;L$D$\D$D$1;f(@ff.RLf/4;>%.;f/,H,fH*f.H-HHHPcHH=:fHHHf(Ǹ"fDf(YYY\f(XHt$f(f(YYYYX\f(HH9~ff/~:f(fTfTf/f.úE„f.E„^^f(f(Df(f(YYY\Xf(f(f(f(YYYX\f(Yf(YYY\Xf(f(f(f(^YXf^f(Y\XYYf(f(^Yf(YXXf(\^YYff.@l$l$l$(l$8E„t+E„t/  f.úE„t%E„t)ff.99L$l$ H|$/H|$IH|$^HD$HcH=HT$HHHT$D$>fD$!vHHÐHH|$ H |$|$0<$|$ l$ l$@l$0H v|$PHH:f.H8l$@l$Pzztf @@z tr @|$.D$.fD$,l$,l$.| v?H88tt?H8@?H8|$H H|$@|$ |$|$p<$|$`DH H|$ l$Pl$@,$l$ztH|$ v(<$PP<$vZY,$H|$ <$ff.u 1uÐff.t,1ȅu1f.u1ÉDHHu fDH1HHHuH@HHÐHt+HHDH1HHHuH1HHHu1HHHHtDH1HHHuH@HHÐHt+HHDH1HHHuH1HHHu1Hx*Hƅt?ff.@1ȅuÐ؉H1ȅufff.HHx0HHHHHtIfH1HHHuH@HHHHHH1HHHufHHfHHx0HHHHHtIfH1HHHuH@HHHHHH1HHHufHHfAxWx3t?D‰f.1ȅuD1fޅuftAI@HIHxUHx0Ht;LHDH1HHHuL1HHHHuHtHfDHIHHI릐HIHxUHx0Ht;LHDH1HHHuL1HHHHuHtHfDHIHHI릐@w @ljÐ1ff.f@w @ljÐ1ff.f@w @ljÐ1ff.f@w@ffw ljf1ff.ffw ljf1ff.ffw ljf1ff.ffw Éff1 B1 B1 BGH1HH@HBff.@H1HH@HBff.@H1HH@HBff.@HHH?HH?HGf.H1HH@HBff.@H1HH@HBff.@H1HH@HBff.@HHH?HH?HGf.U)lj@33Ѓff.U)lj@33Ѓff.ff.ff.1f1f1H1H1H1HH׉U)‰33‰ЃfHffH@HHHHHHHHHHHHcannot load module more than once per process_ARRAY_API is not PyCapsule objectmodule compiled against ABI version 0x%x but this version of numpy is 0x%xmodule was compiled against NumPy C-API version 0x%x (NumPy 2.1) but the running NumPy has C-API version 0x%x. Check the section C-API incompatibility at the Troubleshooting ImportError section at https://numpy.org/devdocs/user/troubleshooting-importerror.html#c-api-incompatibility for indications on how to solve this problem.FATAL: module compiled as unknown endianFATAL: module compiled as little endian, but detected different endianness at runtimenumpy._core.multiarray failed to import_multiarray_umath failed to import_UFUNC_API is not PyCapsule objectnumpy._core.umath failed to importcore output dimension p must be min(m, n), where m and n are the core dimensions of the inputs. Got m=%zd and n=%zd, so p must be %zd, but got p=%zd.slogdet on the last two dimensions and broadcast on the rest. Results in two arrays, one with sign and the other with log of the determinants. "(m,m)->(),()" det of the last two dimensions and broadcast on the rest. "(m,m)->()" eigh on the last two dimension and broadcast to the rest, using lower triangle Results in a vector of eigenvalues and a matrix with theeigenvectors. "(m,m)->(m),(m,m)" eigh on the last two dimension and broadcast to the rest, using upper triangle. Results in a vector of eigenvalues and a matrix with the eigenvectors. "(m,m)->(m),(m,m)" eigh on the last two dimension and broadcast to the rest, using lower triangle. Results in a vector of eigenvalues and a matrix with theeigenvectors. "(m,m)->(m)" eigvalsh on the last two dimension and broadcast to the rest, using upper triangle. Results in a vector of eigenvalues and a matrix with theeigenvectors. "(m,m)->(m)" solve the system a x = b, on the last two dimensions, broadcast to the rest. Results in a matrices with the solutions. "(m,m),(m,n)->(m,n)" solve the system a x = b, for b being a vector, broadcast in the outer dimensions. Results in vectors with the solutions. "(m,m),(m)->(m)" compute the inverse of the last two dimensions and broadcast to the rest. Results in the inverse matrices. "(m,m)->(m,m)" cholesky decomposition of hermitian positive-definite matrices, using lower triangle. Broadcast to all outer dimensions. "(m,m)->(m,m)" cholesky decomposition of hermitian positive-definite matrices, using upper triangle. Broadcast to all outer dimensions. "(m,m)->(m,m)" Singular values of array with shape (m, n). Return value is 1-d array with shape (min(m, n),).eig on the last two dimension and broadcast to the rest. Results in a vector with the eigenvalues and a matrix with the eigenvectors. "(m,m)->(m),(m,m)" eigvals on the last two dimension and broadcast to the rest. Results in a vector of eigenvalues. Compute TAU vector for the last two dimensions and broadcast to the rest. Compute Q matrix for the last two dimensions and broadcast to the rest. Compute Q matrix for the last two dimensions and broadcast to the rest. For m > n. (m,n),(m,nrhs),()->(n,nrhs),(nrhs),(),(p)least squares on the last two dimensions and broadcast to the rest.numpy._core._multiarray_umathnumpy.core._multiarray_umath_ARRAY_API_ARRAY_API is NULL pointer_UFUNC_API_UFUNC_API not found_UFUNC_API is NULL pointer0.1.5__version___ilp64init_gesdd%s failed init init_gqr_commoninit_gelsdinit_geqrf_umath_linalgslogdet(m,m)->(),()(m,m)->()eigh_lo(m,m)->(m),(m,m)eigh_upeigvalsh_lo(m,m)->(m)eigvalsh_upsolve(m,m),(m,n)->(m,n)solve1(m,m),(m)->(m)inv(m, m)->(m, m)cholesky_lo(m,m)->(m,m)cholesky_upsvd(m,n)->(p)svd_s(m,n)->(m,p),(p),(p,n)svd (full_matrices=False)svd_f(m,n)->(m,m),(p),(n,n)svd (full_matrices=True)eigeigvalsqr_r_rawqr_reduced(m,n),(k)->(m,k)qr_complete(m,n),(n)->(m,m)lstsq                             ??????C?YY@cܥL@9RFߑ?+eG?9B.??ý.@5?_?B.eB5<;?r1??On entry to %.*s parameter number %d had an illegal value; D $-D ĸ` D p T dH d d d 8 ` dH$ Ttd8%4,t2X9$9D9@$@D@F@GT$GhMN$NDUdUU\t\]Dd8ddLd`kl $l s|t$TDhd|$DĜXl4|Ĵ(Դ<t4HD\th| $H!4!"###( 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