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H=X HCH=]%IH5R%LIH?AEx AE H-L--%jAPAH2AUH52H=qUjH0XPIH HHLLAx A HH$L-$APHd-AjH@2H5A2PH=TAUjHWIH0HHLLBAx A HH<-LZ$AL5Y$AAVH1H51jH=\TPARjH(WIH0HHH5#LAEx AEHH#L#APH,AjH0H50PH=SARjHVIH0HHH5#L-AEx AE(HHj#Lv#APH,AjHD0H5M0PH=SARjHVIH0HtHH5#LAEx AEHH#L#APHe,AjH/H5/PH=RARjHUIH0HHH5"LAEx AE2HH"L"APH2,AjH/H5/PH=QARjHTIH0H^HH5="LAEx AEHH%"L'"APH+AjHc.H5l.PH=TQARjHqTIH0HHH5!LAEx AE<HAAAVL5!Hg.jH5n.H='QjAVjHSIH0HTHLLAEx AEiHH>!L5D!APH+AjH=-H5F-PH=>PAVjHkSIH0HHLLAEx AEHH*E11jE111j1PH +PjHSIH0HeHH5+LAEx AEL5d j11jAA1AV1jHRPIH HHjPHPL H)EfEHEH EHEHHPH,EHXHH`HEfHnHEE fHnHQEflhX4LLLAEx AEHHwL-}APH)AjH ,H5 ,PH=NAUjHhQIH0HHLLHI$DHEdH+%(HeH[A\A]A^A_]ESSE LEE aH8HÿfNLE]AExAEu L@x ?HKH5(H81)DLPL@L0]L ]AҸAfN\ NMЩ1AAAEE̩ AA ND!AAD!DAD!؃AAMDKDˉLDDLAHL HH HL EAHL EHAL AHL EAAHL AEADAAAHM A ALDLLDL L1LLDLxLh_LXLHPL8L(FLL<LA$xA$uLbWH1x@H=IHH5LaIA$xA$uLeMHHI9E"1LAUHKxAUuL!HJH=HJSHJZHYGH5!H8DH=IHH5LiIA$xA$uLmM?H%GI9Ef1LAUH6LxAUuL)HLH^HFH5H83HFHFH51H81FHyFH8!H}FH5> 1H8cH9FH8HBFH5+ H;H;H5d 1}H8HEA@HU1H5H81H=2 IH^0fA=IHE!EuHDHHD IDH HH=IHHKHD!DHD HDH zHEHHDH5cH8CAENAEAL4HvDH5H8AEAELHDGH5 H#DH81HDH5H8HCH5H81HCH5H8ZlHCH5H8?HCH@UHSHH=HHt HHHEPHUxtH]fH]HHb@UHSHH=JHHt HHHEHUxtH]fH]H#H@UHSHH=H4Ht HHHEpHUxtH]fH]HUHAWAVAUATSH=Et =E=E8sHpEЅ=aE=MEHAL0L-&=6E="EL= tX=EtO= EL=t?=Dt6=Dt-HmAL8!=DHAL-ML0IHHHHHH5xL8x _LHHtHH5JLIx @LhHH5HH5L x QL)HHHH5L{xuH1GHHHH5L9=C=oC?Hox 9Htu[f=L2=B'= BRA=A=A=AL-L-fHL=AL=yA?=mA2H>L8f.=()always_error_gufuncinner1d(i),(i),(i)->()innerwt(m,n),(n,p)->(m,p)matrix_multiply(m?,n),(n,p?)->(m?,p?)matmul(n,d)->(p)euclidean_pdist(i)->(i)cumsuminner1d_no_doc(3),(3)->(3)cross1dindexed_negativenegative_indexed_loop(m),(n)->(p)conv1d_fullfunc_SSE41func_AVX2nobasevarfunc_xbvar_xballtest_signaturetest_dispatchdisable_umath_testsvar_SSE41var_AVX2conv1d_full: both inputs have core dimension 0; the function requires that at least one input has positive size.conv1d_full: the core dimension p of the out parameter does not equal m + n - 1, where m and n are the core dimensions of the inputs x and y; got m=%zd and n=%zd so p must be %zd, but got p=%zd.Length of environment variable '%s' is %d, only %d accepted%sYou cannot disable CPU feature '%s', since it is part of the baseline optimizations: (SSE SSE2 SSE3).%sYou cannot %s CPU features (%s), since they are not part of the dispatched optimizations (SSSE3 SSE41 POPCNT SSE42 AVX F16C FMA3 AVX2 AVX512F AVX512CD AVX512_SKX AVX512_CLX AVX512_CNL AVX512_ICL AVX512_SPR).%sYou cannot %s CPU features (%s), since they are not supported by your machine.NumPy was built with baseline optimizations: (SSE SSE2 SSE3) but your machine doesn't support: (%s).Both NPY_DISABLE_CPU_FEATURES and NPY_ENABLE_CPU_FEATURES environment variables cannot be set simultaneously._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 importsimply, broken, ufunc that sets an error (but releases the GIL).simply, broken, gufunc that sets an error (but releases the GIL).inner on the last dimension and broadcast on the rest "(i),(i)->()" inner1d with a weight argument "(i),(i),(i)->()" matrix multiplication on last two dimensions "(m,n),(n,p)->(m,p)" matmul on last two dimensions, with some being optional "(m?,n),(n,p?)->(m?,p?)" pairwise euclidean distance on last two dimensions "(n,d)->(p)" Cumulative sum of the input (n)->(n) cross product on the last dimension and broadcast on the rest "(3),(3)->(3)" A dotted name for pickle testing, does nothing._pickleable_module_global.ufunc_pickleable_module_global_ufunccannot load _umath_tests module.convolution of x and y ('full' mode)Test signature parsing of ufunc. Arguments: nin nout signature If fails, it returns NULL. Otherwise it returns a tuple of ufunc internals. During parsing environment variable: 'NPY_ENABLE_CPU_FEATURES': During parsing environment variable: 'NPY_DISABLE_CPU_FEATURES':      ; H`xȦxx$XXH8,@xThXHHpHhx  HHX\zRx $@FJ w?9*3$"D\0(tEC I $EC G (EC I (xEC I 0 LEF I  A  0TEF I A  0dCEI MY A  (EC I (DQK E G(<вSP,dFEC I* E 6EC Ed ,شBEC M A ,SEC M A ,(YEO UL K $DXoEP Y B f A ,l.AC HN E ,EO P H  $]EC A} J H  $]EC A} J H D $X]EC A} J H ,,EC M F GNUd~FDO{"type":"deb","os":"ubuntu","name":"numpy","version":"1:2.3.5+ds-3ubuntu1","architecture":"amd64"}p%0%p spp}@~! cPXo c HP o oo\ o"0 @ P ` p !! !0!@!P!`!p!!!!!!!!!"" "0"@"P" r<h}r0]12348`:p.(+''%@&76s@r"s,s/usr/lib/debug/.dwz/x86_64-linux-gnu/python3-numpy.debug~8@fC-9\7eb15bb2dbee1a07e333d6fd47fe28991a1d15.debug8M.shstrtab.note.gnu.build-id.gnu.hash.dynsym.dynstr.gnu.version.gnu.version_r.rela.dyn.rela.plt.init.plt.got.plt.sec.text.fini.rodata.eh_frame_hdr.eh_frame.note.gnu.property.note.package.init_array.fini_array.data.rel.ro.dynamic.got.plt.data.bss.gnu_debugaltlink.gnu_debuglink $o|( p0c8o\ \ tEo TPP^BHh c @n`"`"wp"p"0$$?@cc ppxxx00 PPtPPXX``0 r``x0  @ M!4$0